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Navnene og selskapene er fiktive, og resultatene dine vil variere.","footer":""},"calculator":{"eyebrow":"Kalkulator","title":"Hvor mye vil det koste?","description":"Fortell oss hvor mange firmanavn du må slå opp, så viser vi deg den rimeligste måten å gjøre det på.","unitsLabel":"Firmanavn som skal slås opp","workflowLabel":"Hvilken workflow?","workflows":["Kun firmadatasett (1 kreditt per treff)","Datasett, deretter Google som reserve (2,5 kreditter per Google-oppslag)"],"matchRateLabel":"Andel navn du forventer at databasen finner treff for","needsLabel":"Har du også behov for å:","needs":["Kjøre dette via API / MCP","Konfigurere automatisert databerikelse"],"resultLabels":["Anbefalt abonnement","Ekstra kreditter","Kreditter du vil ha"],"totalLabel":"Totalt denne måneden","cta":"Prøv gratis","note":"Krever ikke betalingskort","pricingLink":"Se priser","creditsTitle":"Slik fungerer kreditter","creditsBody":"1 000 kreditter = $1, så hver kreditt koster en tidels cent. Et databasetreff koster 1 kreditt og belastes bare når et domene blir funnet. Et Google-oppslag som reserve koster 2,5 kreditter og belastes uansett resultat. Derfor er fordelingen mellom de to avgjørende for regningen. Treffprosenten ovenfor er ditt estimat, ikke et tall fra Datablist: Kjør først et utvalg på noen hundre navn, og angi den ut fra de faktiske resultatene. Google-resultater mellomlagres i 48 timer. Hvis du endrer en innstilling og kjører på nytt innenfor dette tidsrommet, koster det 1 kreditt per rad i stedet for 2,5. Kreditter som inngår i abonnementet, fornyes månedlig og nullstilles hvis de ikke brukes. 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Et databasetreff koster 1 kreditt og belastes bare når et domene blir funnet, så 500 vellykkede treff koster omtrent 500 kreditter. Et Google-oppslag som reserve koster 2,5 kreditter og belastes uansett om det finner noe. Bruk kalkulatoren ovenfor til å beregne din egen fordeling."},{"question":"Hva forteller poengsummen for domenesikkerhet meg?","answer":"Hvor sikker Datablist er på at dette domenet tilhører det aktuelle navnet. Resultatet oppgis som høy, middels, lav eller svært lav. Hensikten er å prioritere i stor skala: Godta høy automatisk, vurder middels før du bruker treffet videre, og send lav og svært lav til en sikrere metode fremfor å sende email til dem."},{"question":"Hvordan håndterer dere tvetydige navn som «Dove» eller «United»?","answer":"Et navn uten kontekst er reelt tvetydig, og ingen oppslagstjeneste kan avgjøre det alene. To ting hjelper. Angi et målkland per liste eller per rad for å redusere antallet kandidater. For navnene som fortsatt gjenstår, kjører du AI Agent med ekstra kontekst, for eksempel by, bransje eller beskrivelse. Den vil vurdere hvilket treff som passer."},{"question":"Hva skjer når et oppslag ikke gir noe resultat?","answer":"Status returneres som not_found, eller som empty_name hvis inndatacellen var tom. Filtrer visningen til disse radene og prøv på nytt: Legg til et land, slå på Google som reserve hvis du bare brukte databaser, eller flytt dem til AI Agent med mer kontekst."},{"question":"Hvorfor får jeg katalogsider i stedet for selskapenes nettsteder?","answer":"Som standard hopper Datablist over URL-er som ikke er rotdomener, kjente kataloger som Crunchbase og sosiale nettverk som LinkedIn og Facebook når Google-resultatene vurderes. Hvis en bransjespesifikk katalog fortsatt slipper gjennom, legger du den til under «Hopp over følgende domener». Den blir da ekskludert sammen med standardvalgene."},{"question":"Kan jeg angi et forskjellig målkland for hver rad?","answer":"Ja. Slå på «Angi målkland per element», så vises et inndatafelt for målkland som du kobler til en kolonne. Godkjente formater er ISO 3166-koder (FR, USA) eller hele det engelske navnet (Portugal). Rader med manglende eller ugyldig land bruker den globale innstillingen for målkland."},{"question":"Belastes jeg to ganger hvis jeg kjører databerikelsen på nytt?","answer":"Ikke for Google. Disse resultatene mellomlagres i 48 timer. Hvis du endrer en innstilling og kjører på nytt innenfor dette tidsrommet, koster raden 1 kreditt i stedet for 2,5. For å unngå å behandle rader du allerede har løst, filtrerer du visningen til radene der domenet er tomt, og kjører på alle elementene i visningen."},{"question":"Hva bør jeg gjøre etter at jeg har domenene?","answer":"Domenet åpner for resten av stacken. Firmaberikelse legger til bransje, størrelse, sted og stiftelsesår. Waterfall Email Finder bruker et navn og domenet til å returnere en verifisert email-adresse. Teknologiberikelse leser stacken fra nettstedet."}]},"related":{"eyebrow":"Integrasjoner","title":"Relatert databerikelse","description":"Kombiner Company Domain Finder med supplerende dataverktøy i Datablist.","cards":[{"title":"Firmaberikelse","description":"Gjør et domene om til bransje, størrelse, sted og stiftelsesår.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Bruk domenet sammen med et navn for å finne en verifisert email-adresse.","imageAlt":""},{"title":"Opprydding av firmanavn","description":"Fjern LLC og Inc, og korriger bruk av store og små bokstaver før du kjører oppslaget.","imageAlt":""}],"action":"Se all databerikelse"},"free":{"eyebrow":"Gratisverktøy","title":"Prøv gratis først","description":"Gratisversjoner av relaterte verktøy som du kan prøve på noen få rader før du skalerer opp.","cards":[{"title":"Gratis domenesøk","description":"Lim inn firmanavn og finn nettstedene deres. 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ISO 3166-kode eller engelsk navn"]]},{"title":"Utdata","rows":[["Firmadomene","Tekst","Selskapets domene, f.eks. google.com, når et domene blir funnet"],["Full firma-URL","URL","Selskapets fullstendige URL, f.eks. https://www.google.com, når en URL blir funnet"],["Domenesikkerhet","Tekst","Hvor sterkt treffet er: høy, middels, lav eller svært lav"],["Status","Tekst","Én av success, not_found eller empty_name"]]}]},"cta":{"title":"Slutt å gjøre manuelt det Datablist kan gjøre på sekunder","body":"Prøv Datablist og se hvor enkelt det kan være å automatisere en workflow. Over 38 000 brukere har allerede erfart det!","label":"Snakk med oss"},"articles":{"title":"Relaterte artikler","cards":[{"title":"Firmanavn til domene: 3 metoder for bulksøk","imageAlt":"Firmanavn til domene: 3 metoder for bulksøk"},{"title":"Finn selskapenes nettsteder ut fra firmanavn","imageAlt":"Finn selskapenes nettsteder ut fra firmanavn"},{"title":"Slik beriker du firmadata basert på firmanavn","imageAlt":"Slik beriker du firmadata basert på firmanavn"}]},"steps":[{"title":"Trinn 1: Registrer deg og last opp dataene dine","paragraphs":["Registrer deg først på <a href=\"signup\">Datablist.com</a>","Deretter laster du opp CSV- eller Excel-filen som inneholder listen over firmanavn"],"imageAlts":["Firmanavn til domene – registrer deg","Firmanavn til domene – last opp firmalisten din"]},{"title":"Trinn 2: Åpne databerikelsen Finn firmadomener","paragraphs":["1. Klikk på Berik i toppmenyen","2. Åpne fanen Selskaper","3. Velg Finn firmadomene fra firmanavn."],"imageAlts":["Firmanavn til domene – bibliotek for databerikelse"]},{"title":"Trinn 3: Konfigurer workflowen","paragraphs":["Under Workflow velger du «Bruk bare firmadatasettet». Dette er den rimeligste metoden og koster 1 kreditt per domene som blir funnet.","Angi Målkland, eller merk av for Angi målkland per element hvis hver rad har sin egen landkolonne.","For å dekke navnene datasettet ikke finner, velger du i stedet Google-workflowen. Datablist utfører da et direkte søk på de gjenværende navnene. Det koster 2,5 kreditter per oppslag og belastes uansett om et domene blir funnet."],"imageAlts":["Firmanavn til domene – innstillinger for database-workflow","Firmanavn til domene – innstilling for Google-workflow"]},{"title":"Trinn 4: Koble kolonnen med firmanavn","paragraphs":["1. Angi kolonnen som inneholder firmanavnene, som Inndataegenskap","2. Klikk på Fortsett til konfigurasjon av utdata"],"imageAlts":["Firmanavn til domene – koble inndatakolonnen"]},{"title":"Trinn 5: Velg domeneutdata","paragraphs":["1. Bruk ⊕-ikonene eller Legg til alle de 3 utdataene i samlingen for å legge utdataene til i samlingen.","2. Klikk på Kjør nå","Behold Domenesikkerhet og Status. De lar deg prioritere resultatene etter kjøringen, i stedet for å stole like mye på hver rad."],"imageAlts":["Firmanavn til domene – konfigurasjon av utdata"]},{"title":"Trinn 6: Kjør databerikelsen i bulk","paragraphs":["Til slutt konfigurerer du kjøringsinnstillingene ved å klikke på vinkeltegnet på høyre side av knappen. Da kan du velge mellom følgende alternativer:","• Kjør på de første 10 elementene: Nyttig for å kontrollere resultatene før du fortsetter","• Kjør på de første 100 elementene: Nyttig hvis du vil validere større utvalg","• Kjør på de første {X} elementene: Lar deg velge hvor mange elementer du vil behandle","• Kjør på alle elementene i visningen: Behandle hele listen din (eller visningen hvis du har aktivert filtre)","Når du har valgt ønsket alternativ, klikker du på Kjør på X elementer","I løpet av få minutter har du en kolonne med verifiserte domener ved siden av firmanavnene, klare for neste databerikelse.","Sorter eller filtrer etter Domenesikkerhet, og send deretter radene med lav, svært lav og not_found til AI Agent med ekstra kontekst, for eksempel en by eller bransje."],"imageAlts":["Firmanavn til domene – kjøringsinnstillinger","Firmanavn til domene – kjøring av nettstedssøk","Firmanavn til domene – databaseresultater","Firmanavn til domene – resultater fra AI Agent"]}],"faq":{"title":"Ofte stilte spørsmål","items":[{"question":"Hva er forskjellen mellom de to workflow-alternativene?","answer":"Alternativet med bare firmadatasettet sammenligner navnene dine med kuraterte datasett som kobler navn til domener. Det er den raske metoden, koster 1 kreditt og belastes bare ved treff. Det andre alternativet legger til et direkte Google-søk for navnene datasettet ikke fant. Det koster 2,5 kreditter per oppslag og belastes uansett om et domene blir funnet."},{"question":"Hvilket domene får jeg når flere domener samsvarer med et navn?","answer":"Det med mest trafikk. Hvis dette ikke er ønsket, er avgrensning etter målkland det mest effektive grepet, siden det filtrerer datasettet før det i det hele tatt blir nødvendig å velge mellom like treff."},{"question":"Hva gjør «Godta nettsteder som ikke er rotdomener»?","answer":"Som standard avviser Datablist Google-resultater som ikke er rotdomener. Det holder katalogsider som directory.com/mycompany ute av listen din. Ulempen er at du også kan gå glipp av ekte selskaper med nettsteder på en plattform, for eksempel hostingplatform.com/mycompanypage. Slå på innstillingen når listen din inneholder mange små bedrifter."},{"question":"Hvordan påvirker Googles mellomlagring i 48 timer kredittene mine?","answer":"Datablist mellomlagrer Google-søkeresultater i 48 timer. Hvis du endrer «Godta nettsteder som ikke er rotdomener» eller «Hopp over følgende domener» og kjører på nytt innenfor dette tidsrommet, hentes resultatene fra mellomlageret og koster 1 kreditt per rad i stedet for 2,5. Dermed blir det rimelig å finjustere disse to innstillingene."},{"question":"Hva brukes «Behandle bare mellomlagrede Google-resultater» til?","answer":"Det begrenser kjøringen til Google-resultater du allerede har betalt for, og hopper helt over datasettresultater. Bruk det til å vurdere en tidligere kjøring på nytt med andre innstillinger uten å betale for nye direkte søk."},{"question":"Hvilke landformater godtar Målkland?","answer":"ISO 3166 Alpha-2-koder som FR, Alpha-3-koder som USA eller hele det engelske navnet, som Portugal. Når landet på en rad mangler eller er ugyldig, bruker Datablist den globale innstillingen for målkland."},{"question":"Hvordan kjører jeg bare radene som mislyktes, på nytt?","answer":"Filtrer visningen etter Status, eller etter Domenesikkerhet for svake treff, og velg deretter «Kjør på alle elementene i visningen». Bare radene i den filtrerte visningen blir behandlet, så du betaler aldri på nytt for rader du allerede har løst."},{"question":"Når bør jeg bruke AI Agent i stedet?","answer":"Når et navn er tvetydig og du har kontekst som oppslaget ikke kan bruke. Både datasettet og Google arbeider ut fra navnet alene. AI Agent kan ta imot en by, bransje eller beskrivelse sammen med navnet, undersøke selskapet og returnere et domene med en sikkerhetspoengsum og en forklaring. Spar den til de gjenværende radene, siden den er bruksbasert og koster mer per rad."}]}},"corner":{"title":"Prøv gratis","body":"Gjør firmanavnene dine om til verifiserte domener i bulk. Over 38 000 brukere bruker allerede Datablist.","label":"Prøv gratis","close":"Lukk CTA"}},"EnrichmentWaterfallEmailFinder":{"metadata":{"title":"Waterfall Email Finder - Find Verified Emails in Bulk | Datablist","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once with Datablist's Waterfall Email Finder."},"breadcrumb":"Waterfall Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Email Finder","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once.","trust":["Cheapest Waterfall on the Market","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Find 20 emails free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Maximize email find rates by querying over 20 top data providers in sequential order until a verified address is found.","cards":[{"title":"What you give","items":["First Name & Last Name: Or combined full name property","Company Name or Domain: e.g. acme.com or Acme Corp","Or LinkedIn Profile URL: Direct profile link method"],"links":["See full input reference"]},{"title":"What you get","items":["Work Email Address: The address found for the contact","Email Deliverability Status: verified or unverified for a found address","MX Provider Detected: E.g. Google Workspace, Microsoft 365"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Found Email: Deducted when an email is found","0 Credits if Not Found: Zero wasted spend on misses","Custom API Keys Supported: Bring your own provider accounts"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: First Name, Last Name and Company Domain. 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You're only charged 25 credits when an email is actually verified and found, never for a miss. Plan credits renew every month and reset if unused, so they're sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, making them the better fit for one-off spikes in volume.","emailHint":"= {credits} credits at {rate} credits per found email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access, custom API keys, and automation are Growth-only.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist cascades your contact through multiple elite providers until a deliverable email is confirmed.","steps":[{"label":"Step 1","title":"Upload your list","body":"Import any CSV or Excel file with your contacts. All you need is a first name, last name, and company name or domain. Or a LinkedIn Profile URL if you have it."},{"label":"Step 2","title":"The waterfall runs across 20+ providers","body":"Instead of relying on a single email finder, Datablist queries multiple providers in sequence: Icypeas, Enrow, Findymail, Prospeo, Wiza, and more. If one provider does not find a result, the next one tries. This cascading approach increases your hit rate by up to 30% compared to using a single tool."},{"label":"Step 3","title":"Every email verified","body":"Each found address has Email Status information: verified or unverified. Review unverified addresses before sending. No-result and input errors appear in the run-status column. You only pay for emails that are actually found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Business Owner Finder","description":"Pull owner names and titles off company websites.","imageAlt":""},{"title":"Email First Line","description":"Draft a personalised opener for every contact.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Email Finder with complementary data tools in Datablist.","cards":[{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Find direct mobile phone numbers for B2B prospects globally.","imageAlt":""},{"title":"Company Enrichment","description":"Turn a domain into industry, size, location, and founded year.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about email finding rates, billing, and provider waterfall rules."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Email Finder","description":"Run Datablist's Waterfall Email Finder on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Search Method","Select","Find by name + company (default), or by LinkedIn Profile URL"],["Use Full Name","Checkbox","Use a single Full Name input instead of First Name and Last Name"],["Custom Waterfall","Checkbox","Use your own API keys and provider sequence with By Name and Company"],["Waterfall Sequence","Sequence","Define the order of providers and configure API keys for each one"]]},{"title":"Inputs","rows":[["First Name","Text","First input property for the name + company search method"],["Last Name","Text","Second input property for the name + company search method"],["Full Name","Text","Replaces First Name and Last Name when Use Full Name is enabled"],["Company Name or Domain","Text","Third input property for the name + company search method"],["LinkedIn Profile URL","Text","Standard LinkedIn profile URL. Required for LinkedIn mode; optional for name + company. Sales Navigator URLs are unsupported."]]},{"title":"Outputs","rows":[["Email","Email","The work email address found"],["Email Status","Text","Deliverability information for a found email: verified or unverified"],["MX Provider","Text","The contact's email provider, e.g. Google or Microsoft"],["Provider","Text","Available with Custom Waterfall. The email-finding provider that returned the result"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]}},"corner":{"title":"Try it for Free","body":"Find verified emails of all your contacts in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentSmartScraper":{"metadata":{"title":"Smart Scraper - Scrape Webpage Text, Emails and Social Links in Bulk | Datablist","description":"Scrape website text, email addresses, phone numbers, LinkedIn and Instagram links from a list of URLs. 0.10 credits per page, 0.50 with a proxy."},"breadcrumb":"Smart Scraper","tabs":["Overview","How to use"],"hero":{"title":"Smart Scraper","description":"Turn a list of webpage URLs into text, emails, phone numbers, and LinkedIn and Instagram links. A simple scrape costs 0.10 credits per page.","trust":["0.10 Credits per Page","Follows About and Contact Pages","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Smart Scraper reads each webpage on your list and returns its text, email addresses, phone numbers, LinkedIn links and Instagram links. It can follow About us and Contact pages, and use a proxy when a site blocks normal requests.","cards":[{"title":"What you give","items":["URL to Parse: A full URL with http or https, one per row","Follow Pages: Optional: follow the About us and Contact pages","Proxy and Rendering: Optional: proxy on errors, or render JavaScript pages"],"links":["See full input reference"]},{"title":"What you get","items":["Website Texts: Page text with headers and footers skipped, ready for ChatGPT","Emails and Phone Numbers: Comma-separated lists of what is found on the page","Social Links: LinkedIn profiles, LinkedIn company pages and Instagram profiles"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 simple pages cost 1,000 credits","0.50 Credits with a Proxy: With proxy fallback you pay it only for pages that need it","2 Credits with Render HTML: For pages rendered by JavaScript"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: URL to parse. Output: 6 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Smart Scraper"],"headers":["URL to parse","Website Texts","Email Addresses","Phone Numbers","LinkedIn Profiles","LinkedIn Company Pages","Instagram Profiles"],"caption":"Sample input and output.","scrollHint":"7 columns, scroll →","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping mode?","modes":["Basic scraping (0.1 credits per page)","With a proxy (0.5 credits per page)","With Render HTML (2 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Basic scraping costs 0.10 credits per page, proxy scraping 0.50 credits, and Render HTML 2 credits. A cached page costs 0.05 credits. This estimate counts each listed URL once at your selected rate. Additional About/Contact pages and automatic rendering can add to the total; cached results can reduce it. Plan credits follow your billing cycle. Top-up credits never expire and are used after subscription credits are exhausted.","scraperHint":"= {credits} credits at {rate} credits per page","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add webpage URLs and get clean data columns back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one webpage URL per row. Use the full URL with http or https, whether it is a company site, a directory or a landing page. Remove duplicate URLs first, so you do not scrape the same page twice."},{"label":"Step 2","title":"Choose what to extract","body":"Pick text, emails, phone numbers, LinkedIn links and Instagram profiles, and decide whether to follow the About us and Contact pages. Turn on the proxy for sites that block normal requests. Additional About/Contact pages have their own scrape costs."},{"label":"Step 3","title":"Get clean columns back","body":"Each URL returns its data as columns, with several results as comma-separated lists. Send the text to ChatGPT to classify or summarize each site, or filter the contact columns for outreach."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Video Links from Webpage","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Case Study Finder","description":"Find case studies on a company website.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Smart Scraper with complementary data tools in Datablist.","cards":[{"title":"Instagram Profile Scraper","description":"Scrape public Instagram profile data in bulk.","imageAlt":""},{"title":"Impressum Scraper","description":"Extract company details from German Impressum pages.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, About pages and text for ChatGPT."},"guide":{"hero":{"title":"How to use Datablist's Smart Scraper","description":"Run Datablist's Smart Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","Scrapes JS-Rendered Pages"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Follow \"About us\" page","Boolean","When enabled, Datablist scans the page to find the \"About us\" link. Then it scrapes the page to find relevant links, emails, texts, etc."],["Follow \"Contact\" page","Boolean","When enabled, Datablist scans the page to find the \"Contact\" link. Then it scrapes the page to find relevant links, emails, texts, etc."],["Use Proxy when needed","Boolean","Enable proxy requests when normal scraping fails or returns incomplete content. Proxy pages cost 0.50 credits; rendered pages cost 2 credits. Disabled by default. Access is not guaranteed."],["Proxy Policy","Select","Available when Use Proxy when needed is enabled. Use proxy on error (default) tries a direct request first. Always use proxy sends uncached page requests through the proxy from the start."],["Render HTML","Boolean","Available when Use Proxy when needed is enabled. Renders a page in a headless browser before scraping JavaScript content. Costs 2 credits per rendered page. Off by default."],["Show advanced settings","Boolean","Shows cache settings and ignore terms for Instagram and LinkedIn links."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."],["Instagram Ignore Terms","Text","Optional. Comma-separated list of terms to filter Instagram results. For example, with the ignore term: \"data\", the instagram https://www.instagram.com/DATAblist/ will be ignored."],["LinkedIn Ignore Terms","Text","Optional. Comma-separated list of terms to filter LinkedIn results. For example, with the ignore term: \"data\", https://www.linkedin.com/company/DATAblist/ will be ignored."]]},{"title":"Inputs","rows":[["URL to parse","-","Full URL with protocol (http/https)."]]},{"title":"Outputs","rows":[["Website Texts","LongText","Analyze the pages and extract relevant texts. Headers texts, footer texts, etc. are skipped. The text can be used to feed ChatGPT."],["Email Addresses","Text","Comma-separated list of email addresses when found."],["Phone Numbers","Text","Comma-separated list of phone numbers when found."],["LinkedIn Profiles","Text","Comma-separated list of LinkedIn profiles when found."],["LinkedIn Company Pages","Text","Comma-separated list of LinkedIn company pages when found."],["Instagram Profiles","Text","Comma-separated list of instagram profiles when found."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Scrape text, emails and social links from webpages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentWaterfallPhoneFinder":{"metadata":{"title":"Waterfall Phone Finder - Find Phone Numbers From LinkedIn URLs in Bulk | Datablist","description":"Find direct phone numbers from LinkedIn profile URLs in bulk. Datablist's Waterfall Phone Finder checks several data providers in sequence. 500 credits per phone number found."},"breadcrumb":"Waterfall Phone Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Phone Finder","description":"Turn LinkedIn profile URLs into direct phone numbers. Datablist checks several data providers in sequence, and you only pay for numbers it finds.","trust":["500 Credits per Number Found","LinkedIn URL to Phone Number","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall Phone Finder finds a phone number from a LinkedIn profile URL. It asks several data providers in sequence and stops at the first match, so you only pay for numbers it finds.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: One per row, in the format linkedin.com/in/name","Public Profile URLs Only: Sales Navigator profile URLs are not supported","Allowed Cache Age: Optional, 30 days by default"],"links":["See full input reference"]},{"title":"What you get","items":["Phone Number: The number found, in international format","Country: The two-letter country code of the number","Provider (Custom Waterfall): Optionally identify which provider found the number"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["500 Credits per New Number Found: 100 uncached numbers cost 50,000 credits","Billed per Number Found: No charge for no-number results or reused cached results","About $0.50 per Number: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: Phone Number and Country.","groups":["Your data","Added by Waterfall Phone Finder"],"headers":["LinkedIn Profile URL","Phone Number","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many phone numbers you want to find and we'll show you the cheapest way to get them.","unitsLabel":"Phone numbers to find","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall Phone Finder costs 500 credits per phone number found, and nothing when no number is found. The estimate assumes every profile returns a number, so your real cost is lower when some return no result. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","phoneHint":"= {credits} credits at {rate} credits per phone number found","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add LinkedIn URLs and Datablist checks several data providers for you.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with one LinkedIn profile URL per row. Use public profile URLs like linkedin.com/in/name. Sales Navigator URLs are not supported. Keep your original columns next to the results."},{"label":"Step 2","title":"The waterfall runs","body":"Datablist asks the first data provider for the number. If it comes back empty, the next provider tries, and so on until one finds a match. Several sources together cover more roles and regions than one, and the whole process runs in the background."},{"label":"Step 3","title":"Get numbers, pay for hits","body":"Each row gets a phone number in international format, its country code and a status. You only pay for the numbers found. A row with no result costs nothing, so a miss never hurts your budget."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Business Number Extractor","description":"Visit a company website and extract its phone number.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""},{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall Phone Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Finder from Name","description":"Find a prospect's LinkedIn profile URL from their name.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about coverage, billing and how the waterfall works."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Phone Finder","description":"Run Datablist's Waterfall Phone Finder on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Allowed Cache Age","Select","Reuse results up to 30 days old (default), 2 months or 6 months; choose No cache for a new lookup. Reused cached results are not charged again."],["Custom Waterfall","Checkbox","Use your own provider API keys and customize the provider order."],["Waterfall Sequence","Sequence","With Custom Waterfall, add Enrow, Prospeo, Findymail, Wiza or Full Enrich with an API key for each provider."]]},{"title":"Inputs","rows":[["LinkedIn Profile","Text","Person's Profile URL should be in the format of https://linkedin.com/in/xxx. This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Phone Number","Phone","Phone Number found in international format (with country prefix)."],["Country","Text","Alpha-2 country code for the phone Number. See Wikipedia page for more information on ISO 3166-1 alpha-2."],["Provider","Text","Available with Custom Waterfall. Identifies which phone-finding provider returned the result."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]}},"corner":{"title":"Try it for Free","body":"Find direct phone numbers from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentWaterfallPersonalEmailFinder":{"metadata":{"title":"Waterfall Personal Email Finder - Find Personal Emails in Bulk | Datablist","description":"Find personal email addresses from LinkedIn profile URLs in bulk. Datablist runs several email providers in sequence and charges 75 credits only for each email found."},"breadcrumb":"Waterfall Personal Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Personal Email Finder","description":"Turn a list of LinkedIn profile URLs into personal email addresses in bulk. Several providers run in sequence, and you only pay for the emails found.","trust":["75 Credits per Email Found","LinkedIn URL to Personal Email","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Waterfall Personal Email Finder takes a LinkedIn profile URL and searches several email providers one after the other. It stops at the first personal email it finds, so you pay only for results.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: Standard format, linkedin.com/in/name","One URL per row: Import a CSV or Excel file","No Sales Navigator URLs: Standard profile URLs only"],"links":["See full input reference"]},{"title":"What you get","items":["Email: A personal email address when found","Run Status: No result, invalid data, or missing data","Credits Used: Shown in the summary after every run"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["75 Credits per Email Found: Charged only when an email is returned","0 Credits if No Result: Empty rows cost nothing","About $0.075 per Email: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: Email.","groups":["Your data","Added by Waterfall Personal Email Finder"],"headers":["LinkedIn Profile URL","Email"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many personal emails you expect to find and we'll show you the cheapest way to pay for them.","unitsLabel":"Personal emails found","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You are charged 75 credits only when a personal email is found, never for an empty row. The estimate assumes every unit you enter is a found email, so a run with fewer finds costs less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","emailHint":"= {credits} credits at {rate} credits per found personal email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"One LinkedIn URL in, one personal email out, with several providers searching behind it.","steps":[{"label":"Step 1","title":"Upload your LinkedIn URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Use standard profile links such as linkedin.com/in/jane-doe. Sales Navigator links are not supported."},{"label":"Step 2","title":"Providers search in sequence","body":"Datablist asks the first provider for a personal email. If nothing comes back, the next provider tries, and the search continues until a match is confirmed or the sequence ends. One provider rarely covers everyone, so the sequence raises your chances."},{"label":"Step 3","title":"Get one email column","body":"Map the LinkedIn column, add the Email output and run. Rows with no personal email are marked as no result and are not charged. You pay 75 credits for each email found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Employee & Talent Finder","description":"Find employees at a list of companies.","imageAlt":""},{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Email First Line","description":"Write an email first line from a LinkedIn description.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Personal Email Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Reach anyone you want by using 20+ email finders.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Get phone numbers from a LinkedIn profile URL and pay only for results.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. 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This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Email","Email","Email Found"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]}},"corner":{"title":"Try it for Free","body":"Find personal emails from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentLinkedInProfileScraper":{"metadata":{"title":"LinkedIn Profile Scraper - Extract LinkedIn Profile Data in Bulk | Datablist","description":"Turn a list of LinkedIn or Sales Navigator profile URLs into full contact records in bulk. 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It reads the public page directly, so Datablist never needs your LinkedIn credentials.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: e.g. linkedin.com/in/janedoe","Or a Sales Navigator URL: e.g. linkedin.com/sales/lead/xxxx","Nothing else: No name, no company, no login"],"links":["See full input reference"]},{"title":"What you get","items":["Identity & Location: Name, headline, summary, city, state, country","Work History: Up to 10 experiences with titles, dates, and descriptions","Current Company Data: Website, industry, employee range, and description"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Profile: Fresh data pulled live from LinkedIn","20 Credits with Cached Profiles: Enable cached results when available; fresh fallback can cost 25","Charged per Profile: Not per field, however many you return"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. 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A profile costs 25 credits for fresh data, or 20 if you allow cached profiles. Unlike pay-per-result enrichments, you are charged for every profile the scraper processes, so clean malformed URLs out of your list before a large run. Plan credits renew every month and reset if unused, so they are sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, which makes them the better fit for one-off spikes.","profileHint":"= {credits} credits at {rate} credits per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist loads each public LinkedIn page, parses it, and writes the fields you picked straight into your collection.","steps":[{"label":"Step 1","title":"Upload your profile URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Standard profile URLs and Sales Navigator lead URLs both work, and you can mix them in the same column."},{"label":"Step 2","title":"Datablist reads the public page","body":"Datablist loads and parses each public profile itself. It never asks for your LinkedIn credentials and never acts as your account, which is why running it cannot get your profile restricted."},{"label":"Step 3","title":"Up to 40 fields land in your list","body":"Choose the outputs you want and Datablist writes them into new columns: name, headline, summary, location, work history, education, and firmographics for the current employer."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made workflows built around LinkedIn profile data.","cards":[{"title":"Employee & Talent Finder","description":"Find people at a company, filtered by role.","imageAlt":""},{"title":"Founders Finder","description":"Surface the founders behind a list of companies.","imageAlt":""},{"title":"Company Name to LinkedIn","description":"Resolve company names to their LinkedIn pages.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Scrape LinkedIn Leads","imageAlt":"How To Scrape LinkedIn Leads"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the LinkedIn Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from a LinkedIn URL using 20+ providers at once.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Unlock direct mobile numbers from the same LinkedIn profile URLs.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public company data from LinkedIn company page URLs.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about account safety, billing, and the data you get back."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Profile Scraper","description":"Run Datablist's LinkedIn Profile Scraper on your own list in 6 steps, no code needed. 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Cannot be combined with Include LinkedIn Internal ID (URN) or Include Pictures"],["Experiences to return","Select","How many work experiences to return: 3, 5, or 10. Defaults to 3"],["Educations to return","Select","How many education entries to return: 1, 3, or 5. Defaults to 1"]]},{"title":"Inputs","rows":[["Person's LinkedIn Profile","Text","The profile URL. Works with linkedin.com/in/xxx and Sales Navigator lead URLs"]]},{"title":"Outputs","rows":[["LinkedIn Profile URL Normalized","Url","The clean public profile URL, in the format linkedin.com/in/xxx"],["First Name / Last Name / Full Name","Text","The name on the profile, split and combined"],["Headline","Text","The tagline shown under the name on the profile"],["Summary","Text","The longer About blurb written by the person"],["City / State / Country / Country Name","Text","Location fields, with the country as a 2-letter ISO code and in words"],["Location","Text","The full location string as shown on the profile"],["Title (Current or last experience)","Text","Job title of the current or most recent role"],["Description (Current or last experience)","Text","The role description, where the profile has one"],["Start Date / End date (Current or last)","Date","Role dates. The end date is empty while the role is still active"],["Company Name (Current or last experience)","Text","Employer name on the current or most recent role"],["Company page URL / website","Text","The employer's LinkedIn page and its own website"],["Company description / industry / employee range","Text","Firmographics for the current employer, e.g. 11-50"],["Title, dates and company (Experience #2 to #10)","Text","Past roles, up to the number set in Experiences to return"],["Education entries","Text","School, degree, and dates, up to the number set in Educations to return"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Find LinkedIn Profiles From a Name","imageAlt":"How To Find LinkedIn Profiles From a Name"}]}},"corner":{"title":"Try it for Free","body":"Scrape every detail from your LinkedIn profile URLs. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentCompanyNameCleaner":{"metadata":{"title":"Company Name Cleaner - Clean Company Names in Bulk | Datablist","description":"Clean messy company names in bulk with AI. Remove LLC, Inc. and GmbH, fix casing and standardize names for outreach and your CRM. 0.5 credits per name."},"breadcrumb":"Company Name Cleaner","tabs":["Overview","How to use"],"hero":{"title":"Company Name Cleaner","description":"Fix messy company names in bulk. AI removes legal forms like LLC and GmbH, fixes casing and standardizes every name.","trust":["0.5 Credits per Name","Removes Legal Form","Perfect for Outreach"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Clean 1,000 company names free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Company Name Cleaner uses AI to turn raw company names into short, conversational names ready for outreach. It understands context instead of matching a fixed list of suffixes.","cards":[{"title":"What you give","items":["Company Name: The column with your messy names","Keep Legal Forms: Optional setting, off by default","Any language: Handles GmbH, SAS, Inc. and Ltd."],"links":["See full input reference"]},{"title":"What you get","items":["Cleaned Company Name: A normalized name for outreach or your CRM","Fixed casing: BESTFOODserviceGmbH becomes Bestfood Service","Company Name Confidence: Optional High, Medium, Low, or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.5 Credits per Name: 1,000 names cost 500 credits","Cached Names Cost 0: Matching requests reuse a cached result","Failed Rows Cost 0: Only successful uncached names use credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Outputs: Cleaned Company Name and optional Company Name Confidence.","groups":["Your data","Added by Company Name Cleaner"],"headers":["Company Name","Cleaned Company Name","Company Name Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many company names you need to clean and we'll show you the cheapest way to clean them.","unitsLabel":"Company names to clean","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"The Company Name Cleaner costs 0.5 credits per successful uncached name. The estimate counts every name you enter once. Matching cached requests cost 0 credits, so lists with repeated names can cost less. Failed rows cost 0 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","cleanerHint":"= {credits} credits at {rate} credits per name","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Upload the names, run the cleaner and get one clean column back.","steps":[{"label":"Step 1","title":"Upload your company names","body":"Import a CSV or Excel file and pick the column that holds the messy names. Your other columns stay untouched."},{"label":"Step 2","title":"AI cleans every name","body":"The AI removes legal forms such as LLC, Inc., GmbH and SAS, splits joined words and fixes casing. It reads the whole name, so a brand like Boston Consulting Group keeps its core name."},{"label":"Step 3","title":"Keep or remove legal forms","body":"One setting decides whether legal forms stay. Remove them for outreach, or keep them when your CRM needs the entity type. Matching cached requests cost 0 credits."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Clean company name","description":"Clean and standardize company names.","imageAlt":""},{"title":"Clean job title","description":"Remove unnecessary characters and normalize case.","imageAlt":""},{"title":"Correct capitalization","description":"Fix the capitalization of sentences and proper nouns.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Company Name Cleaner with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or the reverse.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes removed and casing fixed. 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AI estimate of whether the cleaned name preserves company identity; not external verification."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]}},"corner":{"title":"Try it for Free","body":"Clean messy company names in bulk with AI. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentInstagramProfileScraper":{"metadata":{"title":"Instagram Profile Scraper - Scrape Instagram Profile Data in Bulk | Datablist","description":"Scrape public Instagram profile data from usernames, URLs or IDs in bulk: bio, followers, website, public email and more. From 1 credit per profile."},"tabs":["Overview","How to use"],"hero":{"title":"Instagram Profile Scraper","description":"Turn Instagram usernames, profile URLs or IDs into profile data: bio, followers, website, public email and more, in bulk.","primary":"Scrape 500 profiles free","guide":"Check Full Guide","note":"No credit card needed","trust":["From 1 Credit per Profile","Up to 23 Data Points per Profile","Scrape 500 Profiles Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Instagram Profile Scraper reads a username, profile URL or Instagram ID from each row and returns the public profile data. Pick the scraping mode that matches the fields you need.","cards":[{"title":"What you give","items":["Instagram Identifier: A profile URL, a username or an Instagram ID, one per row","Scraping Type: Public profile, private profile, About data, or both","Clean Identifiers: Empty or malformed values are marked in the run status"],"links":["See full input reference"]},{"title":"What you get","items":["Profile Basics: Full name, bio, category, website and profile picture","Audience and Account: Follower and following counts, posts, account type, verified and business flags","Contact Details: Public email, phone and WhatsApp number when the profile shows them"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["From 1 Credit per Profile: Public profile mode, from a username or URL","Richer Modes Cost More: Private profile 2 to 3 credits, with About data from 4","Identifiers May Add 1 Credit: When Datablist must resolve the identifier first"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Instagram Identifier. Output: 21 columns in private profile mode, the same grid you work in inside Datablist.","groups":["Your data","Added by Instagram Profile Scraper"],"headers":["Instagram Identifier","Full Name","Description","Follower Count","Category","Website","Account Type","Public Email","Phone Number","Verified","Business Account","Following Count","WhatsApp Phone Number","Profile Picture","Private","Number of Posts","Business Zip Code","Business City","Business Street Address","User Id","User Username","User Profile URL"],"caption":"Sample input and output.","scrollHint":"22 columns, scroll →","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many profiles you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Profiles to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping type?","modes":["Public profile (1 credit per profile)","Private profile from usernames or URLs (3 credits per profile)","Private profile plus About data (4 credits or more per profile)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Instagram Profile Scraper starts at 1 credit per profile in public profile mode, and costs more in the richer modes. Datablist's default scraping type is Private profile, which costs 2 to 3 credits per profile. The modes above use the typical starting cost, so a mixed file or identifiers that need resolving can cost more. Fallback lookups can add to the cost, while available cached data can reduce it. Failed lookups can still use credits if a lookup was performed. The estimate charges every profile once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","scraperHint":"= {credits} credits at {rate} {rate, plural, one {credit} other {credits}} per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add Instagram identifiers and choose how much data you want.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with one Instagram identifier per row. A profile URL, a username or an Instagram ID all work, so mixed formats are fine. Keep your original identifier column next to the new ones."},{"label":"Step 2","title":"Choose a scraping mode","body":"Public profile mode is the cheapest and returns follower counts, bio and website. Private profile mode adds the public email and phone when the account shows them, and About data adds home country and join date."},{"label":"Step 3","title":"Get profile data and a run status","body":"Each row returns the fields for your mode. Use the run-status column to find failed rows, fix the identifiers and rerun only those rows. The scraped profile data lands in your collection, ready to filter and export."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data Extraction","description":"Visit a website and extract information about the company.","imageAlt":""},{"title":"B2B or B2C Classifier","description":"Classify a website as B2B or B2C by its primary audience.","imageAlt":""},{"title":"Company Summary from URL","description":"Visit a website and generate a summary of what the company does.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide","imageAlt":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide"},{"title":"Scrape Instagram followers, following list and post authors for free and enrich them","imageAlt":"Scrape Instagram followers, following list and post authors for free and enrich them"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Instagram Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""},{"title":"Smart Scraper","description":"Extract text, emails, phone numbers and social links from webpages.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about identifiers, scraping types, billing and results."},"guide":{"hero":{"title":"How to use Datablist's Instagram Profile Scraper","description":"Run Datablist's Instagram Profile Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Scraping Type","Select","The private profile includes the public phone_number and public email address if provided by the user. It costs 2 credits if the input is an Instagram Id, 2+1 credits if the input is an URL or an username. The About this account data have two outputs: Home Country and Date Joined. About data scraping costs 2 credits, 2+1 credits if the input is an URL or an username. The public profile doesn't include phone or email but is cheaper. It costs 1 credit if the input is an username or an URL, 1+1 credits if the input is the Instagram Id."]]},{"title":"Inputs","rows":[["Instagram Identifier","Text","Instagram user URL (https://www.instagram.com/tomhanks/), or username (tomhanks), or Instagram id (1758466516)."]]},{"title":"Outputs","rows":[["Full Name","Text","The full name of the user"],["Description","LongText","Instagram user bio."],["Follower Count","Number","Instagram user follower count."],["Following Count","Number","Instagram user following count."],["Category","Text","Instagram user category name."],["Website","Url","Instagram user external url."],["Public Email","Email","Private profile modes only. Instagram user public email address."],["Phone Number","Text","Private profile modes only. Instagram user phone number, when available."],["WhatsApp Phone Number","Text","Private profile modes only. Instagram WhatsApp phone number, when available."],["Account Type","Text","Private profile modes only. Instagram Account Type. One of: PERSONAL, BUSINESS, CREATOR"],["Profile Picture","Url","Instagram user profile picture."],["Private","Boolean","Is the Instagram profile private."],["Verified","Boolean","Is the Instagram profile verified."],["Business Account","Boolean","Is the Instagram profile a business profile."],["Number of Posts","Number","Number of posts posted"],["Business Zip Code","Text","-"],["Business City","Text","-"],["Business Street Address","Text","-"],["User Id","Text","Instagram internal id"],["User Username","Text","Instagram username"],["User Profile URL","Url","Instagram profile URL"],["Last Location","Text","Public profile mode only. If the user has posts with location information, retrieve the most recent location."],["Home Country","Text","About modes only. Instagram user country name. Ex: France."],["Date Joined","Text","About modes only. Month and year of joining Instagram. Ex: October 2012."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide","imageAlt":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide"},{"title":"Scrape Instagram followers, following list and post authors for free and enrich them","imageAlt":"Scrape Instagram followers, following list and post authors for free and enrich them"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Scrape public Instagram profile data in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Instagram Profile Scraper"},"EnrichmentGoogleSearch":{"metadata":{"title":"Google Search - Run Google Searches on CSV Rows in Bulk | Datablist","description":"Run a Google search for every row in your CSV or Excel file. Use row values in your query and return the link, title and snippet. 2.5 credits per search."},"tabs":["Overview","How to use"],"hero":{"title":"Google Search","description":"Run a Google search for every row in your spreadsheet. Build the query from your own columns and get the link, title and snippet back.","primary":"Run 200 searches free","guide":"Check Full Guide","note":"No credit card needed","trust":["2.5 Credits per Search","Live Google Search","Data for AI"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Google Search enrichment runs one search query per row and returns up to 5 Google results. Query templates use values from your columns, so one setup covers the whole list.","cards":[{"title":"What you give","items":["Google Search Query: A template that uses your columns","Target Country and Language: Optional, US and English by default","Filters: Skip domains and keywords you do not want"],"links":["See full settings reference"]},{"title":"What you get","items":["Result Link: The URL of the result","Result Title: The title of the result","Result Snippet: The short description of the result"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["2.5 Credits per Search: 1,000 searches cost 2,500 credits","Billed per Search: Each row you run is one search","Cached Searches: Matching cached queries cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result Link, Result Title and Result Snippet.","groups":["Your data","Added by Google Search"],"headers":["Company Name","Result Link","Result Title","Result Snippet"],"caption":"The search query is built from your columns, for example Company Name plus the word pricing.","scrollHint":"","footer":"The search query is built from your columns, for example Company Name plus the word pricing."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many searches you need to run and we'll show you the cheapest way to run them.","unitsLabel":"Searches to run","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Google Search costs 2.5 credits per search, and each row you run is one search. The estimate charges every search you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. Matching cached searches cost 0 credits. A completed search can still use credits when no result remains after filtering.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"searchHint":"= {credits} credits at {rate} credits per search"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one query template and Datablist runs it for every row.","steps":[{"label":"Step 1","title":"Import your file","body":"Upload a CSV or Excel file with the values you want to search for, such as company names, domains or person names. Every row becomes one search."},{"label":"Step 2","title":"Write a query template","body":"Type your query and insert row values by typing a slash and choosing the property. Optionally set the target country, the language, the number of results and the domains or keywords to skip."},{"label":"Step 3","title":"Collect links, titles and snippets","body":"Create output columns for the result link, title and snippet. The first result is required, and you can return up to 5 results per row. You pay 2.5 credits per search."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"LinkedIn School Pages","description":"Find LinkedIn school pages from school names.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Company Name to Domain: Find Company Websites in Bulk","imageAlt":"Company Name to Domain: Find Company Websites in Bulk"},{"title":"Automating Google Searches On Excel With AI (4 Steps)","imageAlt":"Automating Google Searches On Excel With AI (4 Steps)"},{"title":"Using Agents to Scale AI Search (Huge Time-Saver)","imageAlt":"Using Agents to Scale AI Search (Huge Time-Saver)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Google Search with complementary data tools in Datablist.","cards":[{"title":"AI Agent","description":"Browse websites and run Google searches for every row with one prompt.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Profile Finder from Name","description":"Find a prospect's LinkedIn profile URL from their name.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about queries, results, filters and credits."},"guide":{"hero":{"title":"How to use Datablist's Google Search","description":"Run Datablist's Google Search on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Google Search Query","RichText","Google search query. Type a slash and choose a property to insert row variables."],["Target Country","Select","Country to target for the Google search. Defaults to US if not set."],["Language","Select","Language of the Google search results. Defaults to English if not set."],["Number of Results","Select","Number of Google results to return for each row. Defaults to 1."],["Filter Out Domains/Urls","Text","Comma-separated list of domains to exclude. Example: facebook.com, linkedin.com. Matching is applied to the hostname only; full URL paths are not matched. Filtering is applied only on the first 10 Google results."],["Filter Out Keywords","Text","Comma-separated list of keywords to exclude. Results containing these keywords in the title or snippet will be skipped. Filtering is applied only on the first 10 Google results."]]},{"title":"Outputs","rows":[["Result Link","Url","URL of Google search result #1."],["Result Title","Text","Result title of Google search result #1."],["Result Snippet","LongText","Search snippet (short description) of result #1."],["Result 2 Link","Url","URL of Google search result #2. Available when Number of Results is at least 2."],["Result 2 Title","Text","Result title of Google search result #2. Available when Number of Results is at least 2."],["Result 2 Snippet","LongText","Search snippet (short description) of result #2. Available when Number of Results is at least 2."],["Result 3 Link","Url","URL of Google search result #3. Available when Number of Results is at least 3."],["Result 3 Title","Text","Result title of Google search result #3. Available when Number of Results is at least 3."],["Result 3 Snippet","LongText","Search snippet (short description) of result #3. Available when Number of Results is at least 3."],["Result 4 Link","Url","URL of Google search result #4. Available when Number of Results is at least 4."],["Result 4 Title","Text","Result title of Google search result #4. Available when Number of Results is at least 4."],["Result 4 Snippet","LongText","Search snippet (short description) of result #4. Available when Number of Results is at least 4."],["Result 5 Link","Url","URL of Google search result #5. Available when Number of Results is at least 5."],["Result 5 Title","Text","Result title of Google search result #5. Available when Number of Results is at least 5."],["Result 5 Snippet","LongText","Search snippet (short description) of result #5. Available when Number of Results is at least 5."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Company Name to Domain: Find Company Websites in Bulk","imageAlt":"Company Name to Domain: Find Company Websites in Bulk"},{"title":"Automating Google Searches On Excel With AI (4 Steps)","imageAlt":"Automating Google Searches On Excel With AI (4 Steps)"},{"title":"Using Agents to Scale AI Search (Huge Time-Saver)","imageAlt":"Using Agents to Scale AI Search (Huge Time-Saver)"}]}},"corner":{"title":"Try it for Free","body":"Run a Google search for every row in your file. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Google Search"},"EnrichmentAskChatGPT":{"metadata":{"title":"Ask ChatGPT/OpenAI - Run a ChatGPT Prompt on Every CSV or Excel Row | Datablist","description":"Run a ChatGPT prompt on every row of a CSV or Excel file. Free in Datablist with your own OpenAI API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask ChatGPT/OpenAI","description":"Write one prompt and run ChatGPT on every row of your CSV or Excel file. Free in Datablist with your own OpenAI API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask ChatGPT/OpenAI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your OpenAI API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by ChatGPT for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used when you provide your own OpenAI API key","Billed by OpenAI: Usage is charged to your own OpenAI account in own-key mode","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask ChatGPT/OpenAI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask ChatGPT/OpenAI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Ask ChatGPT/OpenAI can also run on Datablist credits instead of your own key. Switch on Use Datablist credits in the settings and Datablist charges your credits based on token usage. This page covers the free mode with your own key.","planRows":[["Datablist credits","None. This enrichment is free to run."],["OpenAI usage","OpenAI bills your own account for API usage, based on the tokens your prompts and results use. Prices depend on the model you choose."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]]},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your OpenAI API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format or tone, and turn on Cache Results on a paid Datablist plan to skip duplicate prompts."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages rate limits and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask ChatGPT/OpenAI with complementary data tools in Datablist.","cards":[{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"Ask Mistral AI","description":"Run Mistral AI on every row.","imageAlt":"Ask Mistral AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask ChatGPT/OpenAI","description":"Run Datablist's Ask ChatGPT/OpenAI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Datablist credits","Boolean","Check this setting to use Datablist's OpenAI account instead of your own key. Useful to avoid rate limits or when you do not have an OpenAI account."],["OpenAI API Key","Text","Your OpenAI API Key. Available in your OpenAI account under API Keys at platform.openai.com/api-keys. Turn on Use Datablist credits to use Datablist's OpenAI account instead."],["Prompt","RichText","Prompt to be used to call ChatGPT. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Cache Results","Boolean","Enable this to cache results for 48 hours. Identical prompts with the same settings on the same data reuse previous responses for free (no additional credits used). Available on paid Datablist plans."],["Max Concurrent Calls","Number","Maximum number of parallel calls. Default is 10. Reduce if you hit rate limit errors."],["GPT Model","Select","(Optional) Select the GPT model. Default to GPT 4o mini. See the OpenAI Models page."],["Model id","Text","Write the GPT model id. Example: gpt-5.4-nano, gpt-5.4-mini. Check OpenAI's pricing page for the list. Select Other in GPT Model first. Custom model IDs require your own API key."],["Advanced Settings","Boolean","Configure max tokens, reasoning effort, flex mode, and response verbosity."],["ChatGPT Max tokens","Number","The maximum number of output tokens. If unset, the provider/model default applies."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."],["Use Flex Mode","Boolean","Enable lower-cost Flex processing on compatible models, with longer response times."],["Flex Timeout (seconds)","Number","Default 360 seconds. Accepts 30–1,500 seconds; available when Flex mode and Advanced Settings are enabled."],["Reasoning Effort","Select","Low, Medium or High on compatible models. Defaults to Medium."],["Response Verbosity","Select","Low, Medium or High on compatible models. Defaults to Medium."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by ChatGPT."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run ChatGPT on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask ChatGPT/OpenAI"},"EnrichmentAskDeepSeek":{"metadata":{"title":"Ask DeepSeek AI - Run DeepSeek on Every CSV or Excel Row | Datablist","description":"Run a DeepSeek prompt on every row of a CSV or Excel file. Free in Datablist with your own DeepSeek API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask DeepSeek AI","description":"Write one prompt and run DeepSeek on every row of your CSV or Excel file. Free in Datablist with your own DeepSeek API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask DeepSeek AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your DeepSeek API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by DeepSeek for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by DeepSeek: Usage is charged to your own DeepSeek account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask DeepSeek AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask DeepSeek AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["DeepSeek usage","DeepSeek bills your own account for API usage. Fees come out of your topped-up balance or your granted balance, with the granted balance used first."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Your DeepSeek account needs a balance for the run to work. Top it up in the DeepSeek Platform before you start a large file."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your DeepSeek API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format, for example to return just the result."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask DeepSeek AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask DeepSeek AI","description":"Run Datablist's Ask DeepSeek AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["DeepSeek API Key","Text","Your DeepSeek API Key. Available at platform.deepseek.com/api_keys."],["Prompt","RichText","Prompt to be used to call DeepSeek. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["DeepSeek Model","Select","Choose the model to use. See DeepSeek's models and pricing page to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written on DeepSeek's models and pricing page. Select Other in DeepSeek Model first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run DeepSeek on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask DeepSeek AI"},"EnrichmentApolloPeopleSearch":{"metadata":{"title":"Apollo.io People Search - Find Leads by Company Domain in Bulk | Datablist","description":"Search people at a list of company domains with Apollo.io. Define job titles and seniority and get profiles in your CSV or Excel file. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Search","description":"Turn a list of company domains into matching people. Define job titles and seniority, and get profiles back. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Up to 3 Leads per Company","Fallback Titles When No Match"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Search runs Apollo people searches in bulk. Give it company domains, define the roles or seniority you want, and it returns matching profiles in your table.","cards":[{"title":"What you give","items":["Company Domain: One company domain per row, for example google.com","Job Titles or Seniority: At least one of the two, with optional fallback title lists","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Matching Profiles: Name, job title, seniority, location and LinkedIn URL","Work Email and Company Data: When Apollo returns them for the profile","Total Query Results: how many profiles matched each company"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","Any Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Domain. Output: Full Name #1, Job Title #1, Seniority #1, Country #1 and Total Query Results.","groups":["Your data","Added by Apollo.io People Search"],"headers":["Company Domain","Full Name #1","Job Title #1","Seniority #1","Country #1","Total Query Results"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Search does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo's People Search costs 0 Apollo credits. Turning the hits into complete profiles typically uses 1 Apollo credit per profile returned. The optional company name fallback uses 1 Apollo credit per search page."],["Running in the app","Needs a Datablist plan, and any paid plan works. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan. Check your Apollo API limits before running a large file. A Datablist plan is needed to run this enrichment in the app, and any paid plan works."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and the roles you want, and get people back.","steps":[{"label":"Step 1","title":"Import your company domains","body":"Upload a CSV or Excel file with one company domain per row. Domains are more precise than company names. Add the company name too as a fallback for companies with several domains."},{"label":"Step 2","title":"Define the people you want","body":"Paste your Apollo API key, then add job titles, a seniority level, or both. Add fallback title lists for when the first list finds nobody, and choose up to 3 people per company."},{"label":"Step 3","title":"Run it and review the status","body":"Datablist searches each company and writes the profiles into numbered columns, plus a Total Query Results count for every row. Filter no-result rows to adjust your titles and rerun them. Keep the status column so you can see which rows failed."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. 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Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Search with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Search","description":"Find people at a company by job title and seniority.","imageAlt":"Waterfall People Search"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. 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Optional."],["Titles Fallback 2","Text","Search other job titles when no profile matches the \"Titles Fallback 1\" list. Optional."],["Titles Fallback 3","Text","Search other job titles when no profile matches the \"Titles Fallback 2\" list. Optional."],["Person Seniority","Select (multiple)","Select one or more seniority levels. Apollo returns people matching any selected level. You must define at least one Person Title or Person Seniority."],["Number of persons returned per search","Number","Default to 1. Max 3."]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain. Ex: google.com"],["Company name (optional)","Text","Company name is used as fallback if the company domain has yielded no result. This can be the case with companies that have several domains (.fr, .es, .com, etc.)."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","Returned by Apollo."],["Job Start Date #1","Text","Returned by Apollo."],["Seniority #1","Text","Returned by Apollo."],["City #1","Text","Returned by Apollo."],["Country #1","Text","Returned by Apollo."],["Company LinkedIn Page #1","Url","Returned by Apollo."],["Apollo Person ID #1","Text","Unique Apollo identifier for the person."],["Work Email Address #1","Email","Work email returned by Apollo Bulk People Enrichment."],["Email Status #1","Text","Apollo verification status for the work email."],["Email Domain Catch-all #1","Boolean","Whether Apollo identifies the email domain as catch-all."],["Email Domain Catch-all Verdict #1","Text","Apollo's catch-all verdict for the email domain."],["Email Confidence #1","Number","Apollo confidence score for an extrapolated email."],["Profile Photo #1","Url","Profile photo URL."],["Twitter/X Profile #1","Url","Twitter or X profile URL."],["GitHub Profile #1","Url","GitHub profile URL."],["Facebook Profile #1","Url","Facebook profile URL."],["State/Region #1","Text","Person's state or region."],["Formatted Address #1","Text","Person's formatted location or address."],["Street Address #1","Text","Person's street address when available."],["Postal Code #1","Text","Person's postal code."],["Time Zone #1","Text","Person's time zone."],["Departments #1","Text","Apollo department classifications for the person."],["Subdepartments #1","Text","Apollo subdepartment classifications for the person."],["Functions #1","Text","Apollo job-function classifications for the person."],["Employment History #1","LongText","Complete employment history returned by Apollo, formatted as JSON."],["Apollo Organization ID #1","Text","Unique Apollo identifier for the current organization."],["Organization Name #1","Text","Name of the person's current organization."],["Intent Strength #1","Text","Apollo intent-strength value when available."],["Intent Available #1","Boolean","Whether Apollo exposes intent data for the person."],["Company Domain #1","Text","Primary domain of the current organization."],["Company Website #1","Url","Website URL of the current organization."],["Company Twitter/X #1","Url","Twitter or X URL of the current organization."],["Company Facebook #1","Url","Facebook URL of the current organization."],["Company AngelList #1","Url","AngelList URL of the current organization."],["Company Crunchbase #1","Url","Crunchbase URL of the current organization."],["Company Logo #1","Url","Logo URL of the current organization."],["Company Phone #1","Text","Main phone number of the current organization."],["Company Founded Year #1","Number","Year the current organization was founded."],["Company Industry #1","Text","Primary industry of the current organization."],["Company Industries #1","Text","Industries associated with the current organization."],["Company Secondary Industries #1","Text","Secondary industries associated with the current organization."],["Company Keywords #1","LongText","Keywords associated with the current organization."],["Company Estimated Employees #1","Number","Apollo's estimated employee count for the current organization."],["Company Revenue #1","Number","Numeric revenue estimate for the current organization."],["Company Revenue (Formatted) #1","Text","Formatted revenue estimate returned by Apollo."],["Company Headcount Growth (6 Months) #1","Number","Six-month organization headcount growth."],["Company Headcount Growth (12 Months) #1","Number","Twelve-month organization headcount growth."],["Company Headcount Growth (24 Months) #1","Number","Twenty-four-month organization headcount growth."],["Company Alexa Ranking #1","Number","Alexa ranking returned by Apollo."],["Company Formatted Address #1","Text","Formatted address of the current organization."],["Company Street Address #1","Text","Street address of the current organization."],["Company City #1","Text","City of the current organization."],["Company State/Region #1","Text","State or region of the current organization."],["Company Postal Code #1","Text","Postal code of the current organization."],["Company Country #1","Text","Country of the current organization."],["Company Languages #1","Text","Languages associated with the current organization."],["Company NAICS Codes #1","Text","NAICS industry classification codes."],["Company SIC Codes #1","Text","SIC industry classification codes."],["Company Stock Symbol #1","Text","Public stock symbol of the current organization."],["Company Stock Exchange #1","Text","Public stock exchange of the current organization."],["Company Retail Location Count #1","Number","Number of retail locations reported by Apollo."],["Total Query Results","Number","The total number of profiles maching the query"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find the right people at a list of companies with your own Apollo key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Search"},"EnrichmentApolloPeopleEnrichment":{"metadata":{"title":"Apollo.io People Enrichment - Enrich Contacts With Apollo in Bulk | Datablist","description":"Enrich contacts with the Apollo.io People Enrichment API from a CSV or Excel file. Get LinkedIn URL, job title, email and phone number. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Enrichment","description":"Enrich a list of contacts with Apollo: LinkedIn URL, job title, email, phone number and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Match by Email or LinkedIn","Social Profiles and Location"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Enrichment enriches contacts with the Apollo.io API. Provide a LinkedIn URL or an email, or a name with a company, and it returns the profile details Apollo has.","cards":[{"title":"What you give","items":["A LinkedIn URL or an Email: Either one is enough on its own","Or a Name and a Company: First and last name, or full name, with a company domain or name","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Contact Details: Email, phone number, title, seniority and LinkedIn URL","Profiles and Location: Twitter or X, Facebook, city, state and country","Company Details: Company name, LinkedIn page and website"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Full Name and Company Domain. Output: Email from Apollo, Title, LinkedIn URL and Seniority.","groups":["Your data","Added by Apollo.io People Enrichment"],"headers":["Full Name","Company Domain","Email from Apollo","Title","LinkedIn URL","Seniority"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it a LinkedIn URL, an email, or a name with a company, and get the contact details back.","steps":[{"label":"Step 1","title":"Import your contacts","body":"Upload a CSV or Excel file with your contacts. The most reliable inputs are a LinkedIn profile URL or an email. A first name, last name and company domain also work."},{"label":"Step 2","title":"Paste your key and map inputs","body":"Paste your Apollo API key and map the columns that identify each person. Skip the inputs you do not have, since one strong identifier is enough. Test on the first 10 rows before you run the whole list."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each contact and writes the details into new columns. Filter the rows with empty output columns to find the people Apollo could not match. Fix the source data and rerun those rows."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Enrichment with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email, a LinkedIn URL or a name.","imageAlt":"Waterfall People Enrichment"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Enrichment","description":"Run Datablist's Apollo.io People Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["First Name","Text","Person's first name. Ex: Tim"],["Last Name","Text","Person's last name. Ex: Zheng"],["Full Name","Text","Person's full name (if you don't have the first name and last name split). Ex: Tim Zheng. We recommend using the First Name and Last Name fields instead for better results."],["Email","Email","Person's email (optional). Ex: example@domain.com. If you have the person's email, you don't need to map the other input fields."],["LinkedIn Url","Text","Person's LinkedIn URL. If you provide the LinkedIn URL, do not map the name or other fields. This gives the best results."],["Company Name","Text","Person's company name (optional). Ex: Datablist"],["Company Domain","Text","Person's company domain (optional). Ex: datablist.com. Recommended over just the company name."]]},{"title":"Outputs","rows":[["Email from Apollo","Email","Person's email"],["Phone Number","Text","The matched company's business phone number, when available. This integration does not enable mobile-phone reveal."],["Title","Text","Person's job title. Ex: Sales Executive, CEO, etc."],["Seniority","Text","Person's seniority. Ex: entry, vp, c_suite"],["LinkedIn URL","Url","Person's LinkedIn url."],["Twitter URL","Url","Person's Twitter url."],["Facebook URL","Url","Person's Facebook url."],["Github URL","Url","GitHub URL output. Currently empty in this integration."],["State","Text","The person's state or region."],["City","Text","The person's city."],["Country","Text","The person's country."],["Company Name from Apollo","Text","Person's company name."],["Company LinkedIn URL","Url","Person's company LinkedIn url."],["Company Website","Url","Person's company website."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]}},"corner":{"title":"Try it for Free","body":"Enrich contacts with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Enrichment"},"EnrichmentApolloCompanyEnrichment":{"metadata":{"title":"Apollo.io Company Enrichment - Enrich Domains With Apollo in Bulk | Datablist","description":"Enrich company domains with the Apollo.io Organization Enrichment API from a CSV or Excel file. Get industry, employees, address and social URLs. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io Company Enrichment","description":"Enrich a list of company domains with Apollo: industry, employees, address, social URLs and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","20 Data Fields per Company","Social URLs and Address"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io Company Enrichment enriches company domains with the Apollo.io Organization Enrichment API. Give it a domain and it returns the social URLs, industry, size, address and more.","cards":[{"title":"What you give","items":["A Company Domain: One domain per row, for example google.com","Your Apollo API Key: Pasted into the settings","No Other Settings: Map the domain, choose outputs and run"],"links":["See full input reference"]},{"title":"What you get","items":["Company Basics: Name, website, description, industry and founded year","Size, Phone and Address: Employees, phone number and the full address","Social Links: LinkedIn, Twitter or X, Facebook, Crunchbase and AngelList"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Domain. Output: Company Name, Company Industry, Estimated Number of Employees, City and Country.","groups":["Your data","Added by Apollo.io Company Enrichment"],"headers":["Domain","Company Name","Company Industry","Estimated Number of Employees","City","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io Company Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and get firmographic data back.","steps":[{"label":"Step 1","title":"Import your domains","body":"Upload a CSV or Excel file with one company domain per row. A clean domain, such as google.com, is all the enrichment needs to find a company."},{"label":"Step 2","title":"Paste your key and map the domain","body":"Paste your Apollo API key and map the Domain input to your domain column. There are no other settings to configure, so you can go straight to choosing outputs. Start with a test on the first 10 rows."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each domain and writes the company data into new columns. Filter the rows with empty output columns to find the domains Apollo could not match. Fix those domains and run the rows again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data extraction from website","description":"Visit a website, search for the About Page, and extract information about the company (summary, industry, number of employees) and its found social links.","imageAlt":"Company Data extraction from website"},{"title":"Company enrichment from company name","description":"Find and enrich a company using its name. Prioritizes fast exits when no reliable online presence exists.","imageAlt":"Company enrichment from company name"},{"title":"Get Company Sector","description":"Figure out the company's sector using the LLM knowledge, a company database, or by checking the website.","imageAlt":"Get Company Sector"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io Company Enrichment with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company Enrichment"},{"title":"Identify Technologies on Websites","description":"Find the technology stack of any website.","imageAlt":"Identify Technologies on Websites"},{"title":"LinkedIn Company Page Scraper","description":"Scrape company data from LinkedIn company pages.","imageAlt":"LinkedIn Company Page Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io Company Enrichment","description":"Run Datablist's Apollo.io Company Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["Domain","Text","Company domain to enrich. Example: google.com"]]},{"title":"Outputs","rows":[["Company Name","Text","The company name."],["Website URL","Url","The company website url."],["LinkedIn URL","Url","The company LinkedIn url."],["LinkedIn UID","Text","The company LinkedIn identifier. Ex: 69842428."],["Apollo Company Link","Text","Direct link to the company on Apollo.io. Ex: https://app.apollo.io/#/accounts/6758625db51a1202d1948b97"],["Twitter URL","Url","The company Twitter url."],["Facebook URL","Url","The company Facebook url."],["Crunchbase URL","Url","The company Crunchbase url."],["AngelList URL","Url","The company AngelList url."],["Company Phone","Text","The company Phone Number"],["Company Industry","Text","The company industry."],["Company Description","LongText","The company description."],["Founded Year","Number","The year the company was founded."],["Estimated Number of Employees","Number","The estimated number of employees."],["Company Full Address","Text","The full company postal address"],["Street Address","Text","The street address component from the full address"],["City","Text","The city component from the full address"],["State","Text","The state component from the full address"],["Postal Code","Text","The Postal Code component from the full address"],["Country","Text","The company country."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]}},"corner":{"title":"Try it for Free","body":"Enrich company domains with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io Company Enrichment"},"EnrichmentAskClaudeAI":{"metadata":{"title":"Ask Anthropic/Claude AI - Run Claude on Every CSV or Excel Row | Datablist","description":"Run a Claude prompt on every row of a CSV or Excel file. Free in Datablist with your own Anthropic API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Anthropic/Claude AI","description":"Write one prompt and run Claude on every row of your CSV or Excel file. Free in Datablist with your own Anthropic API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Anthropic/Claude AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Anthropic API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Claude for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Anthropic: Usage is charged to your own Anthropic account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask Anthropic/Claude AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies as B2B or B2C","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company as B2B or B2C. Return only B2B or B2C:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask Anthropic/Claude AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Anthropic usage","Anthropic bills your own account for API usage, based on the Claude model you choose and how much text each row uses."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"You need an active Anthropic account with billing enabled. The enrichment will not run with a key from an account that has no credits."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your Anthropic API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt so Claude knows its role and answers in a consistent format."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask Anthropic/Claude AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Mistral AI","description":"Run Mistral AI on every row.","imageAlt":"Ask Mistral AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask Anthropic/Claude AI","description":"Run Datablist's Ask Anthropic/Claude AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Anthropic API Key","Text","Your Anthropic API Key. Available at console.anthropic.com/settings/keys."],["Prompt","RichText","Prompt to be used to call Anthropic. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Anthropic Model","Select","Choose the model to use. See the Claude models overview in Anthropic's docs to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written in Anthropic's models overview. Select Other in the model setting first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run Claude on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask Anthropic/Claude AI"},"EnrichmentAskMistralAI":{"metadata":{"title":"Ask Mistral AI - Run Mistral on Every CSV or Excel Row | Datablist","description":"Run a Mistral AI prompt on every row of a CSV or Excel file. Free in Datablist with your own Mistral API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Mistral AI","description":"Write one prompt and run Mistral AI on every row of your CSV or Excel file. Free in Datablist with your own Mistral API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Mistral AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Mistral API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Mistral for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Mistral: Usage is charged to your own Mistral account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask Mistral AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask Mistral AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Mistral usage","Mistral bills your own account for API usage. Mistral's Free mode has usage and rate limits, so large files may need a paid setup on their side."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Mistral's Free mode does not need a credit card, but usage and rate limits apply. 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Flex mode provides cost-efficient processing with longer response times."],["Flex Timeout (seconds)","Number","Maximum time to wait for a Flex response. Default is 360 seconds (6 minutes); maximum is 1,500 seconds (25 minutes). Available when Use Flex Mode is enabled."]]},{"title":"Inputs","rows":[["Text","Text","Text to classify."]]},{"title":"Outputs","rows":[["Result","Text","The returned label, when available."],["Confidence","Text","Confidence level returned by the model: High, Medium, Low, or Very Low."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]}},"corner":{"title":"Try it for Free","body":"Sort every row of a CSV or Excel file into your own labels with your own OpenAI key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Classification with ChatGPT/OpenAI"},"EnrichmentAIResearchAgent":{"metadata":{"title":"AI Research Agent - Run Web Research on Every Row in Bulk | Datablist","description":"Give the agent a goal and the fields you want back. 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You define your own output fields in the prompt."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"The agent bills for the work it does, so this sizes your plan against the top of the range rather than the average.","unitsLabel":"Rows to research","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work, and why this is a range","creditsBody":"Unlike a fixed-price enrichment, the agent bills for what it actually does on each row: every Google search, every page it opens, every block of text it reads. A row it resolves from the first search result is cheap. A row that takes it through five pages is not. On a typical task at default settings that works out to somewhere between 3 and 25 credits per row, and credits are spent even on rows where it finds nothing. Max iterations limits research depth: raising it lets the agent dig deeper and raises the top of the estimated range with it. It is not a fixed credit cap. Treat the number as sizing guidance, not a quote. The range models the default model and one rendered scrape per row when Render HTML is enabled; more page visits or a different model can change the cost. Run a hundred rows first and read your real per-row cost off that. Plan credits renew monthly and reset if unused. 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Or pick a ready-made template and skip the prompt entirely."},{"label":"Step 2","title":"It searches, opens, and reads","body":"For each row the agent runs Google searches, follows the links it finds, and reads the pages. Because it works from meaning rather than fixed selectors, it keeps working when a site's layout changes."},{"label":"Step 3","title":"Structured fields, not a blob of text","body":"You name the outputs up front, so results come back as real columns you can filter and sort. You can also add a confidence score from 0 to 100, and review run status when something went wrong."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made agent templates. No prompt writing required.","cards":[{"title":"Trustpilot Reviews","description":"Pull reviews and ratings for any company.","imageAlt":""},{"title":"YC Startup Directory","description":"Scrape companies and founders from Y Combinator.","imageAlt":""},{"title":"Product Hunt Scraper","description":"Extract launches, makers and taglines.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Find Small Business Owners (That Aren't in Any Database)","imageAlt":"How To Find Small Business Owners (That Aren't in Any Database)"},{"title":"How To Find Phone Numbers: Verified and AI Agent","imageAlt":"How To Find Phone Numbers: Verified and AI Agent"},{"title":"AI Web Scraping: Value vs. Hype","imageAlt":"AI Web Scraping: Value vs. Hype"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the AI Research Agent with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Turn the names the agent found into verified email addresses.","imageAlt":""},{"title":"Company Domain Finder","description":"Resolve company names to domains before you point the agent at them.","imageAlt":""},{"title":"Ask ChatGPT","description":"Classify or summarise data already in your collection, on your own key.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about usage-based credits, prompting, and what the agent can reach."},"guide":{"hero":{"title":"How to use Datablist's AI Research Agent","description":"Run Datablist's AI Research Agent on your own list in 6 steps, no code needed. 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Higher is better"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Small Business Owners","imageAlt":"How To Find Small Business Owners"},{"title":"Company Name To Domain: 3 Bulk Methods","imageAlt":"Company Name To Domain: 3 Bulk Methods"},{"title":"How To Scrape Any Website Without Code","imageAlt":"How To Scrape Any Website Without Code"}]}},"corner":{"title":"Try it for Free","body":"Put a research assistant on every row of your list. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"AI Research Agent"},"EnrichmentCompanyDomainLinkedInMatcher":{"metadata":{"title":"LinkedIn Company URL/Website Lookup | Datablist","description":"Find a company's LinkedIn page from its website or domain, or find its website from a LinkedIn company page URL. 1.5 credits per successful lookup."},"tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or its website from a LinkedIn page URL, regular or Sales Navigator.","primary":"Match 333 companies free","guide":"Check Full Guide","note":"No credit card needed","trust":["1.5 Credits per Successful Lookup","Works in Both Directions","Match 333 Companies Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The matcher connects company websites and LinkedIn company pages in both directions. Datablist checks company datasets first and can use Google Search and LinkedIn page lookups to find or validate a match.","cards":[{"title":"What you give","items":["Company URL or Company LinkedIn Url: One column per run","Matching Type: Website to LinkedIn page, or the reverse","Any URL format: Domains, full URLs, regional and Sales Navigator links"],"links":["See full input reference"]},{"title":"What you get","items":["Company Name: As written on LinkedIn, when found","Company Website and LinkedIn Url: Clean, standardized URLs","Confidence and Status: high or low, plus success or not_found"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["1.5 Credits per Successful Lookup: Nothing charged for a miss","10 Credits for Sales Navigator: Sales Navigator URL to website lookups","About $0.0015 per Lookup: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company URL or Company LinkedIn Url. Output: Company Name, Company Website, Company LinkedIn Url, Confidence and Status.","groups":["Your data","Added by LinkedIn Company URL/Website Lookup"],"headers":["Company URL or Company LinkedIn Url","Company Name","Company Website","Company LinkedIn Url","Confidence","Status"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many companies you need to match and we'll show you the cheapest way to match them.","unitsLabel":"Companies to match","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which lookup do you need?","modes":["Standard lookup (1.5 credits per successful lookup)","Sales Navigator URL to website (10 credits per lookup)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. A standard lookup costs 1.5 credits and is only charged when the match succeeds. A Sales Navigator URL to website lookup costs 10 credits. The estimate assumes every company you enter is matched, so a list with misses costs less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"matcherHint":"= {credits} credits at {rate} credits per {mode, select, salesnav {lookup} other {successful lookup}}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Match websites and LinkedIn pages in either direction with one lookup.","steps":[{"label":"Step 1","title":"Upload your company list","body":"Import a CSV or Excel file with one company per row. The column can hold websites and domains, or LinkedIn company page URLs, including Sales Navigator links."},{"label":"Step 2","title":"Pick the matching direction","body":"Set Matching Type to get the LinkedIn company page from a website, or the website from a LinkedIn company page. Datablist checks company datasets first and can use Google Search and LinkedIn page lookups to find or validate a match."},{"label":"Step 3","title":"Get clean URLs and a confidence score","body":"Add the outputs you need: company name, website, standard LinkedIn URL, confidence and status. You pay 1.5 credits for each successful lookup and nothing for a miss."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"Company Name to Website","description":"Find the website that matches a company name.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"3Min Guide: Get Website URLs From LinkedIn Company Pages","imageAlt":"3Min Guide: Get Website URLs From LinkedIn Company Pages"},{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the matcher with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public information from LinkedIn company pages.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about matching directions, billing and URL formats."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Company URL/Website Lookup","description":"Run Datablist's LinkedIn Company URL/Website Lookup on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Matching Type","Text","Specify the type of conversion you need."]]},{"title":"Inputs","rows":[["Company URL or Company LinkedIn Url","-","Map a company website to get the Company LinkedIn Url, Or a Company LinkedIn Url to get the company website."]]},{"title":"Outputs","rows":[["Company Name","Text","The company name, when found."],["Company Website","Url","The company website (ex: https://www.google.com), when found."],["Company LinkedIn Url","Url","The clean company Linkedin Page (ex: https://www.linkedin.com/company/datablist/)."],["Confidence","Text","Confidence score: high (website validated) or low (not validated)"],["Status","Text","One of: success, not_found, empty_data, bad_data"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"3Min Guide: Get Website URLs From LinkedIn Company Pages","imageAlt":"3Min Guide: Get Website URLs From LinkedIn Company Pages"},{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"}]}},"corner":{"title":"Try it for Free","body":"Match company websites and LinkedIn pages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"LinkedIn Company URL/Website Lookup"},"FAQ":{"TITLE":"De beste spør ofte","WHAT_IS_TITLE":"Hva er Datablist?","WHAT_IS_TEXT":"Datablist er et AI-drevet regneark som lar deg jobbe med dataene dine på enklest mulig måte, enten det gjelder deduplisering, datavask, bearbeiding, beriking eller automatisering av workflows.","TECHNICAL_TITLE":"Er Datablist laget for tekniske brukere?","TECHNICAL_TEXT":"Datablist er for alle som trenger å jobbe med data – fra nybegynnere til avanserte brukere. Vårt regnearkgrensesnitt og våre læringsressurser gjør at du kan være produktiv fra dag én.","INDUSTRIES_TITLE":"Hvilke bransjer og team bruker Datablist?","INDUSTRIES_TEXT":"Selv om flertallet av kundene våre er innen salg, e-handelsdrift, SaaS-vekst eller finans, er vi ikke begrenset til bestemte bransjer eller team — vi jobber gjerne med alle.","INTEGRATIONS_TITLE":"Hvilke verktøy kan vi integrere med Datablist?","INTEGRATIONS_TEXT":"Datablist kan integreres med mange CRM-er, og lar deg kutte ut flere abonnementer, for eksempel scrapers og email findere. Det låser også opp verktøy som ingen andre plattformer har, som vår AI-forskningsagent og dedupliseringsassistent."},"FeatAIAgent":{"PAGE_TITLE":"AI Agent: Automatiser web-research og datauttrekk","PAGE_DESC":"Bruk Datablists AI Agent til å scrape hvilket som helst nettsted, automatisere Google-søk, og hente ut strukturerte data med enkle prompts. Ingen kode kreves.","HERO_TITLE":"Din automatiserte AI-researchassistent","DESCRIPTION":"Slutt å kaste bort timer på manuelt research-arbeid. Beskriv målet ditt med enkle ord, så vil AI Agent søke på Google, bla gjennom nettsteder og hente ut de presise dataene du trenger—helt automatisk.","FEATURE":"Funksjon","POWERFUL_AUTOMATION":"Kraftig automatisering","100%ONLINE":"100 % online","EASY_TO_USE":"Enkel å bruke","BEYOND_SCRAPING_TITLE":"Gå lenger enn tradisjonell scraping","BEYOND_SCRAPING_DESC_1":"Tradisjonelle webscrapere er basert på rigide regler og slutter å fungere idet layouten til et nettsted endres. De forstår ikke kontekst eller håndterer komplekse, dynamiske sider.","BEYOND_SCRAPING_DESC_2":"AI Agent er annerledes. Drevet av avanserte store språkmodeller forstår den innholdets mening, ikke bare HTML-strukturen. Den navigerer på nettsteder som et menneske, noe som gjør den mer robust, allsidig og i stand til å hente ut nyansert informasjon.","BEYOND_SCRAPING_DESC_3":"Gi den et mål, så planlegger og utfører den trinnene som trengs—fra å følge lenker og paginere gjennom resultater til å analysere ustrukturert tekst.","HOW_IT_WORKS_TITLE":"Slik fungerer AI Agent","HOW_IT_WORKS_DESC":"AI Agent følger en enkel, men kraftig prosess for å gjøre forespørselen din om til strukturerte data.","STEP_1_TITLE":"1. Du setter målet","STEP_1_DESC":"Oppgi en start-URL og en tydelig prompt som forklarer hvilke data du vil hente ut og hvordan de skal formateres.","STEP_2_TITLE":"2. Agenten navigerer og forstår","STEP_2_DESC":"Agenten besøker nettstedet, rendrer JavaScript og analyserer innholdet for å forstå konteksten og finne relevant informasjon.","STEP_3_TITLE":"3. Den håndterer komplekse sider","STEP_3_DESC":"Trenger du å scrape en liste over flere sider? Bare aktiver paginering. Agenten vil intelligent finne og klikke 'next' for å hente data fra alle sidene.","STEP_4_TITLE":"4. Data hentes ut og struktureres","STEP_4_DESC":"Basert på prompten din henter agenten ut de spesifiserte datapunktene og leverer dem ryddig inn i dine forhåndskonfigurerte kolonner.","USE_CASES_TITLE":"Fra leadgenerering til markedsinnsikt: uendelige muligheter","USE_CASE_LEAD_GEN_TITLE":"Gi ekstra fart på leadgenereringen","USE_CASE_LEAD_GEN_DESC":"Finn hyperrelevante personaliseringspunkter i skala. Scrape selskapenes case-studier, identifiser nøkkelpersoner på 'Om oss'-sider, eller hent ut kontaktopplysninger fra tyske 'Impressum'-sider.","USE_CASE_LEAD_GEN_LINK":"Se hvordan du scraper case-studier","USE_CASE_ECOMMERCE_TITLE":"E-commerce og produkt-scraping","USE_CASE_ECOMMERCE_DESC":"Hent ut produktnavn, priser, spesifikasjoner og beskrivelser fra enhver e-commerce-butikk, selv på tvers av flere kategorisider.","USE_CASE_ECOMMERCE_LINK":"Lær å scrape e-commerce-nettsteder","USE_CASE_REVIEWS_TITLE":"Anmeldelser og sentimentanalyse","USE_CASE_REVIEWS_DESC":"Samle kundetilbakemeldinger ved å scrape plattformer som Trustpilot eller Trusted Shops. Analyser sentiment og identifiser vanlige temaer for å forstå markedet.","USE_CASE_REVIEWS_LINK":"Guide til å scrape Trustpilot","USE_CASE_RESEARCH_TITLE":"Automatisert markedsanalyse","USE_CASE_RESEARCH_DESC":"Automatiser repeterende Google-søk for hver rad i regnearket ditt. Overvåk konkurrentnyheter, spor bransjetrender, eller samle data til rapporter uten manuelt arbeid.","USE_CASE_RESEARCH_LINK":"Lær å automatisere Google-søk","VIDEO_TITLE":"Se AI Agent i aksjon","VIDEO_TEXT":"Se hvordan AI Agent kan besøke en liste over tyske nettsteder, finne 'Impressum'-siden og hente ut strukturert kontaktinformasjon—en oppgave som er umulig for tradisjonelle webscrapere.","TALK_TO_US_TEXT":"Klar til å sette web-research på autopilot? Prøv AI Agent og begynn å gjøre ustrukturerte webdata om til handlingsrettet innsikt.","CSV_EDITOR_DESCRIPTION":"En moderne CSV-editor for å håndtere CSV-filene dine på nett. Åpne og rediger dataene dine direkte i nettleseren.","LEAD_LIST_BUILDING":"Bygg, rens og berik lead-listene dine","LEAD_BUILDING_DESCRIPTION":"Det beste verktøyet for å gå i dybden på lead-lister i stor skala. Organiser, berik og finn de perfekte prospektene."},"FeatAIEditing":{"PAGE_TITLE":"AI Editing: Automatiser Excel- og CSV-oppgaver med prompts","PAGE_DESC":"Bytt ut komplekse formler og makroer. Bruk enkle prompts til å vaske, transformere og analysere dataene dine i bulk med AI Editing-funksjonen i Datablist.","HERO_TITLE":"Automatiser regnearkoppgaver med AI","DESCRIPTION":"Slutt å kjempe med komplekse formler. Beskriv bare hva du trenger på enkel engelsk, og la AI-en vår generere det perfekte skriptet for å vaske, transformere og analysere dataene dine på sekunder.","FEATURE":"Funksjon","UNLIMITED":"Ubegrenset bruk","100%ONLINE":"100 % online","NO_CODE":"Uten kode","REPLACE_FORMULAS_TITLE":"Bytt ut formler med enkle prompts","REPLACE_FORMULAS_DESC_1":"Lei av å slå opp VLOOKUP-syntaks eller feilsøke komplekse Excel-formler? Med AI Editing kan du si farvel til formelfrustrasjon.","REPLACE_FORMULAS_DESC_2":"Skriv bare hva du vil gjøre, så genererer AI-en vår umiddelbart et skreddersydd skript som håndterer oppgaven. Det er som å ha en dataekspert ved din side, klar til å automatisere enhver endring.","REPLACE_FORMULAS_DESC_3":"Enten du vasker firmanavn, standardiserer adresser eller scorer leads, gjør AI Editing instruksjonene dine om til handling.","HOW_IT_WORKS_TITLE":"Slik fungerer det: Fra prompt til perfekte data i 4 trinn","STEP_1_TITLE":"1. Importer dataene dine","STEP_1_DESC":"Last opp CSV- eller Excel-filen din til Datablist. Plattformen vår håndterer store datasett uten problemer, så du kan jobbe med hele listen på én gang.","STEP_2_TITLE":"2. Åpne AI Editing","STEP_2_DESC":"Gå til 'Edit'-menyen og velg 'AI Editing'. Dette åpner prompt-grensesnittet der magien skjer.","STEP_3_TITLE":"3. Skriv prompten din","STEP_3_DESC":"Beskriv oppgaven du vil utføre. Bruk variabler ved å skrive /ColumnName for å referere til dataene dine. Vær så spesifikk som du trenger!","STEP_4_TITLE":"4. Forhåndsvis og kjør","STEP_4_DESC":"AI-en genererer et skript og viser en live forhåndsvisning av endringene. Hvis det ser riktig ut, klikk 'Run' for å behandle hele listen din umiddelbart.","USE_CASES_TITLE":"Lås opp kraftige bruksområder","USE_CASE_FIND_REPLACE_TITLE":"Søk og erstatt i bulk","USE_CASE_FIND_REPLACE_DESC":"Bytt ut hundrevis av termer i datasettet ditt med én instruksjon. Perfekt for å standardisere kategorier, rette vanlige skrivefeil eller oppdatere produktinformasjon.","USE_CASE_FIND_REPLACE_LINK":"Lær mer om 'søk og erstatt' i bulk","USE_CASE_CLEANING_TITLE":"Avansert datavask","USE_CASE_CLEANING_DESC":"Vask og normaliser komplekse data som firmanavn ved å fjerne juridiske suffikser (LLC, Inc.) eller standardisere stillingstitler og adresser.","USE_CASE_CLEANING_LINK":"Se hvordan du vasker firmanavn","USE_CASE_SCORING_TITLE":"Tilpasset lead scoring og datascoring","USE_CASE_SCORING_DESC":"Opprett avanserte scoringsmodeller basert på flere kriterier i dataene dine. Tildel poeng, ranger leads og prioriter listene dine uten én eneste formel.","USE_CASE_SCORING_LINK":"Lær å score leads med AI","USE_CASE_TRANSFORM_TITLE":"Kompleks datatransformasjon","USE_CASE_TRANSFORM_DESC":"Fra å hente ut spesifikke deler av en tekst til å utføre betinget logikk håndterer AI Editing transformasjoner som er nær umulige med standard regnearkfunksjoner.","USE_CASE_TRANSFORM_LINK":"Se flere eksempler på datavask","VIDEO_TITLE":"Se AI Editing i aksjon","LEAD_BUILDING_DESCRIPTION":"Det beste verktøyet for å dykke ned i lead-lister med høyt volum. Organiser, berik og finn de perfekte prospektene.","VIDEO_TEXT":"Se hvordan du oppdaterer katalogenheter med en enkel prompt. Ingen formler, ingen styr.","TALK_TO_US_TEXT":"Klar for å slutte å kaste bort tid på manuelle regnearkoppgaver? Prøv AI Editing og transformer data-workflowen din i dag!","CSV_EDITOR_DESCRIPTION":"En moderne CSV-editor for å håndtere CSV-filene dine online. Åpne og rediger dataene dine direkte i nettleseren","LEAD_LIST_BUILDING":"Bygg, vask og berik lead-listene dine","SEE_ALSO":"Se også"},"FeatCombine":{"PAGE_TITLE":"Konsolider og slå sammen CSV-filer gratis","PAGE_DESC":"Koble sammen CSV-listene dine basert på en felles identifikatorkolonne.","FEATURE":"Funksjon","NOSIGNUP":"Ingen registrering nødvendig","100%ONLINE":"100 % nettbasert","EASY_TO_USE":"Enkelt å bruke","HERO_TITLE":"Konsolider og slå sammen CSV-filer gratis","HERO_DESC":"Koble sammen CSV-listene dine basert på en felles identifikatorkolonne.","DATA_RECONCILIATION_DEF":"Hva er dataavstemming?","DATA_RECONCILIATION_DEF_DESC_1":"Dataavstemming er prosessen med å sammenligne og samkjøre data fra forskjellige kilder. Denne prosessen skjer typisk når det finnes flere datakilder med relatert informasjon.","DATA_RECONCILIATION_DEF_DESC_2":"Disse kildene kan omfatte databaser, regneark, programvaresystemer eller til og med manuelle registreringer. Målet er å avstemme dataene for å skape et pålitelig og konsistent datasett.","DATA_RECONCILIATION_DEF_DESC_3":"Dataavstemming gir verdifulle innsikter for beslutningstaking ved å koble sammen fragmenterte data. Det brukes ofte i regnskap, lagerstyring, markedsføring osv.","JOIN_TITLE":"Slå sammen CSV-filene dine til én samling","JOIN_DESC_1":"Google Sheets eller Microsoft Excel er fine verktøy for regnskapsoppgaver, men mangler funksjoner for datastyring. Andre spesialiserte verktøy finnes for data scientists, som ETL (Extract, Transform, Load), men de er ikke tilgjengelige for ikke-tekniske brukere.","JOIN_DESC_2":"I Datablist angir du bare nøkkelfeltet som skal brukes for å konsolidere CSV-filene dine, så gjør verktøyet resten.","SEE_TUTO":"Se veiledning","TALK_TO_US_TEXT":"Prøv Datablist og se hvor enkelt listesammenslåing kan være. Over 18 000 brukere har allerede tatt det i bruk!","MERGE_TITLE":"Slå sammen data fra flere kilder","MERGE_DESC_1":"I en digital verden er håndtering av lister en hyppig oppgave. Enten du:","MERGE_EX_1":"Bygger én samlet visning av kundene dine","MERGE_EX_2":"Oppretter en liste over prospekter fra flere kilder","MERGE_EX_3":"Beriker en e-postliste med kontaktinformasjon","MERGE_DESC_2":"Du trenger et verktøy som Datablist for å slå sammen og administrere dataene dine.","WHEN_COMBINE_DATA":"Når bør du kombinere datafiler?","WHEN_COMBINE_TITLE_1":"Konsolider kundefiler","WHEN_COMBINE_DESC_1":"Å konsolidere kundefiler er avgjørende for å skape én samlet visning av kundene dine. Når virksomheter samhandler med kunder på ulike kontaktpunkter, som salg, markedsføring, kundestøtte og digitale plattformer, blir verdifulle data spredt på forskjellige systemer og databaser. Koble sammen kundedataene dine ved hjelp av e-postadresse eller en annen unik identifikator. Da får alle teamene dine, som markedsføring, salg og kundeservice, tilgang til denne enhetlige og komplette visningen.","WHEN_COMBINE_TITLE_2":"Berik ordredata med produktkataloger","WHEN_COMBINE_DESC_2":"I netthandel håndterer du to hovedlister: en produktliste og en ordreliste. Ordrelisten har en referanse til produktet som er kjøpt. Ved å konsolidere produktegenskapene dine med ordreliste din får du innsikt fra salget, som hvilke hovedkategorier som selger. Du kan også konsolidere andre eksterne data, for eksempel trafikkstatistikk fra nettstedet ditt.","WHEN_COMBINE_TITLE_3":"Aggreger selskapsdata for å bygge prospektlisten din","WHEN_COMBINE_DESC_3":"Når du bygger prospektlisten din, jo mer data du har om selskapene, desto bedre kan du segmentere prospektene. Datakonsolidering er nyttig for å <doc>berike prospektlisten</doc> med eksterne datakilder: antall ansatte, siste finansieringsrunde, omsetning og estimert webtrafikk. Med nøyaktig og oppdatert informasjon om potensielle prospekter forbedrer du scoringen og reduserer tiden brukt på ukvalifiserte prospekter.","WHEN_COMBINE_LINK_3":"Lær mer om bygging av prospektlister","WHEN_COMBINE_TITLE_4":"Berik leads med markedsføringsdata","WHEN_COMBINE_DESC_4":"Ved å samle data fra ulike kilder, som nettstedsanalyse, måltall for sosiale medier og kundesamhandlinger, får bedrifter et helhetlig bilde av målgruppen. Et perfekt bruksområde for datakonsolidering er å bruke resultater fra e-postkampanjer på leads-listen din. Fremhev de leadsene som åpner eller klikker på e-posten, og målrett dem via andre kanaler som LinkedIn eller andre sosiale nettverk. Ved å berike leads med konsolidert data øker du konverteringene og unngår å bruke tid og penger på uinteresserte leads."},"FeatDuplicates":{"PAGE_TITLE":"Gratis dedupliseringsverktøy","PAGE_DESC":"Dedupliser listene dine på én eller flere kolonner. No-Code-konfigurasjon og enkelt å bruke for ikke-tekniske personer.","SEE_ALSO":"Se også","LEARN_MORE":"Les mer","GET_STARTED":"Kom i gang!","FEATURE":"Funksjon","NOSIGNUP":"Ingen registrering nødvendig","100%ONLINE":"100 % online","EASY_TO_USE":"Enkelt å bruke","NO_TECHNICAL_REQUIRED":"Ingen teknisk kunnskap nødvendig","NOCODE_CONF":"No-Code-konfigurasjon","EXPORT_CSV_TITLE":"Eksporter til CSV- eller Excel-filer","EXPORT_CSV_DESC_1":"Trenger du å overføre dataene dine til en annen applikasjon eller et regneark?","EXPORT_CSV_DESC_2":"<0>Dataene er alltid dine</0>, bare eksporter valgte poster eller hele samlingen din til en CSV-fil eller en Microsoft Excel-fil.","EXPORT_CSV_DESC_3":"Genererte CSV-filer er kompatible med Google Sheets og alle vanlige applikasjoner.","OK_GO":"Ok, la oss komme i gang!","RESOURCES":"Ressurser","AI_TITLE":"AI-behandling av duplikater","AI_TEXT":"Generer nye data, rediger eksisterende informasjon, og bygg systemer fra bunnen av med enkle prompts.","CSV_EDITOR_DESCRIPTION":"En moderne CSV-redigerer for å håndtere CSV-filene dine på nett. Åpne og rediger dataene dine direkte i nettleseren.","LEAD_BUILDING_DESCRIPTION":"Det beste verktøyet for å dykke ned i store lead-lister. Organiser, berik og finn de perfekte prospektene.","COMBINE_DESCRIPTION":"Kombiner listefiler fra flere kilder til én samling. Enkelt å bruke og for ikke-tekniske brukere.","TALK_TO_US_TEXT":"Prøv Datablist og se hvor enkelt datamatching og deduplisering av poster kan være. 18 000+ brukere opplever det allerede!","HERO_TITLE":"Gratis verktøy for fjerning av duplikater","DESCRIPTION":"Endelig et brukervennlig alternativ til Excel for datadeduplisering. Finn, slå sammen eller fjern dupliserte verdier i CSV- eller Excel-filer.","DEDUPLICATION_DEF_TITLE":"Hva er deduplisering av data?","DEDUPLICATION_DEF_DESC_1":"Deduplisering av data, eller <doc>deduping</doc>, er prosessen med å fjerne dupliserte poster fra et datasett.","DEDUPLICATION_DEF_DESC_2":"Deduplisering er nødvendig for å ha en liste med unike oppføringer. I markedsføring med mailinglister, i lead generation, eller kundeadministrasjon. Eller i e-handel ved håndtering av produktkataloger. To oppføringer er duplikater når de refererer til samme enhet. To leads med samme email-adresse, eller to produkter med samme strekkode.","DEDUPLICATION_DEF_DESC_3":"Duplikater påvirker kvaliteten på dataene dine og reduserer produktiviteten. To løsninger finnes for å bli kvitt duplikater: slett dem, eller slå sammen like oppføringer til én.","DEDUPLICATION_DEF_DESC_4":"Å slette duplikater er enkelt; dedupliseringsalgoritmen finner duplikatpostene og sletter alle unntatt én post. Å slå sammen duplikater krever analyse av duplikatpostene for å kombinere dem til én masterpost.","DUPLICATES_MODE_TITLE":"Full eller delvis analyse av poster, på én eller flere datasamlinger","DUPLICATES_MODE_DESC_1":"Datablist Duplicates Finder fungerer med full postsammenligning eller med utvalgte egenskaper.","DUPLICATES_MODE_DESC_2":"Bruk modusen Valgte egenskaper for å finne duplikate kontakter basert på email-adressen deres eller for å oppdage duplikater i en liste over selskaper ved hjelp av deres nettsteds-URL.","DUPLICATES_MODE_DESC_3":"Datablist Duplicates Finder fungerer med én eller flere lister. På tvers av flere lister bruker dedupliseringsalgoritmen felttilordning for å sammenligne poster på tvers av datasett.","MERGE_TITLE":"Slett eller konsolider duplikater","DUPLICATES_PREVIEW_TITLE":"Forhåndsvisning av duplikater","DUPLICATES_PREVIEW_DESC_1":"Datablist lister opp de duplikatene som er funnet slik at du kan velge hvilken operasjon som skal utføres.","DUPLICATES_PREVIEW_DESC_2":"Åpne duplikatpostene i detaljvisningen for å redigere og slå sammen informasjon. Eller slett duplikatene.","DUPLICATES_AUTO_MERGING_TITLE":"Slå automatisk sammen duplikater uten konflikter","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist finner automatisk alle dupliserte verdier som kan slås sammen uten å miste informasjon.","DUPLICATES_AUTO_MERGING_BULLET_1":"Når alle duplikatposter har de samme egenskapsverdiene, beholdes bare én post og de andre slettes.","DUPLICATES_AUTO_MERGING_BULLET_2":"Hvis duplikatpostene er komplementære, velges posten med mest informasjon som primærpost, og dens egenskapsverdier fylles ut ved å bruke egenskapsverdier fra de andre postene. Deretter slettes alle poster bortsett fra primærposten.","DUPLICATES_AUTO_MERGING_BULLET_3":"Hvis duplikatposter har motstridende egenskapsverdier, hoppes postene over for manuell sammenslåing.","MERGING_ASSISTANT_TITLE":"Eller kontroller konflikter manuelt med sammenslåingsassistenten","MERGING_ASSISTANT_DESC_1":"Når automatisk sammenslåing ikke er mulig, bruk Datablists sammenslåingsassistent for å velge hvilken verdi som skal beholdes og konsolidere postene dine.","MERGING_ASSISTANT_DESC_2":"Posten med mest informasjon velges som masterpost og mottar komplementære verdier fra sekundære poster.","DUPLICATES_DEDUPE_TITLE":"Brukervennlig DeDupe-verktøy","DUPLICATES_DEDUPE_DESC_0":"Dagens dedupliseringsverktøy retter seg mot tekniske brukere. De er vanskelige å bruke med endeløse konfigurasjonsinnstillinger.","DUPLICATES_DEDUPE_DESC_1":"Med Datablist blir datamanipulasjon enkelt! Deduplisering av data er endelig tilgjengelig for alle.","DUPLICATES_DEDUPE_DESC_2":"Dedupliser hundretusener av poster direkte i nettleseren din.","DUPLICATES_AUTO_MERGE_TITLE":"Automatisk sammenslåing under import","DUPLICATES_AUTO_MERGE_DESC_1":"I tillegg til Duplicates Finder kan du sette en 'Unique values'-innstilling på egenskapene i samlingen din.","DUPLICATES_AUTO_MERGE_DESC_2":"Under dataimport, når en post fra den importerte filen finnes i samlingen eller et annet sted i filen, vil dataene bli slått sammen eller slettet i henhold til sammenslåingsmodusen.","DATA_DEDUP_WHEN_TITLE":"Når bør du bruke deduplisering av data?","DATA_DEDUP_WHEN_MAIL_TITLE":"Deduplisering av mailinglister","DATA_DEDUP_WHEN_MAIL_DESC_1":"Over tid vil flere kilder flyte inn i mailinglisten din. Med webinar-deltakere, kjøpere, freemium-brukere osv. kan en email-adresse dukke opp flere ganger på mailinglisten.","DATA_DEDUP_WHEN_MAIL_DESC_2":"Dupliserte email-adresser påvirker markedsføringskampanjene dine med ekstra kostnader, spamaktig oppførsel, og risiko for brukerfrustrasjon hvis de fortsatt mottar utsendelser etter å ha avsluttet abonnementet på en kampanje.","DATA_DEDUP_WHEN_MAIL_LINK":"Hvordan rydde en mailingliste","DATA_DEDUP_WHEN_EXCEL_TITLE":"Deduplisering i Microsoft Excel","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets, Microsoft Excel og andre regnearkverktøy tilbyr grunnleggende dedupliseringsfunksjoner. De fremhever dupliserte verdier i en kolonne eller sletter dem. Bruk Datablists automatiske sammenslåing og den manuelle sammenslåingsassistenten for å håndtere komplekse duplikatposter.","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist åpner både CSV- og Excel-filer.","DATA_DEDUP_WHEN_EXCEL_LINK":"Hvordan deduplisere en Excel-fil","DATA_DEDUP_WHEN_LEAD_TITLE":"Verktøy for deduplisering av leads og prospekter","DATA_DEDUP_WHEN_LEAD_DESC_1":"I B2B-markedsføring påvirker kvaliteten på prospektdatabasen resultatene av kampanjene dine. En rotete liste med <doc>dupliserte leads</doc> øker lagringskostnader, reduserer effektiviteten i lead-sporing, og skaper frustrasjon i salgsteamet.","DATA_DEDUP_WHEN_LEAD_DESC_2":"Administrer dine <doc>lead generation</doc>-prosesser med Datablist. Eller importer CRM-dataene dine, eller lead-lister til Datablist for å rense dem.","DATA_DEDUP_WHEN_LEAD_LINK":"Hvordan deduplisere lead-lister","DATA_DEDUP_WHEN_CSV_TITLE":"Dedupliser CSV-filer","DATA_DEDUP_WHEN_CSV_DESC_1":"Rydding i CSV-data er tidkrevende. Dataingeniører bruker programmeringsspråk som Python for å tolke og rydde CSV-data. Datablist tilbyr et No-Code-verktøy for å utføre datarensingsprosesser med dine <a1>CSV-filer</a1> for ikke-tekniske brukere. <a2>Åpne CSV-filer med hundretusener av rader</a2> og dedupliser poster raskt.","DATA_DEDUP_WHEN_CSV_LINK":"Hvordan deduplisere en CSV-fil","SEE_ALSO_CSV_EDITOR":"CSV-redigerer","SEE_ALSO_GUIDE_EXCEL":"Guide: Slå sammen dupliserte rader i en Excel-fil uten å miste data","SEE_ALSO_GUIDE":"Guide: Fjern CSV-duplikater","SEE_ALSO_GUIDE_LARGE_CSV":"Guide: Rediger store CSV-filer på nett","SEE_ALSO_COMBINE":"Kombiner CSV-filer","LEAD_LIST_BUILDING":"Bygg, rydd og berik lead-listene dine","FIND_DUPLICATE_ONLINE_TITLE":"Finn og fjern duplikater på nett","FIND_DUPLICATE_ONLINE_DESC_1":"Oppdag, slå sammen og fjern duplikater i dataene dine umiddelbart. Med et brukervennlig webgrensesnitt får du enkel tilgang fra enhver enhet, uten kompliserte installasjoner.","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist bruker avanserte algoritmer for raskt å identifisere duplikater, noe som sparer tid og forhindrer feil. Si farvel til manuelle søk og velkommen til en strømlinjeformet workflow.","FUZZY_MATCHING_TITLE":"Deduplisering med fuzzy matching","FUZZY_MATCHING_ONLINE_DESC_1":"Fuzzy-dedupliseringsalgoritmer beregner avstanden mellom poster. Ved å bruke en terskel definerer du når to poster er like. I motsetning til eksakt matching identifiserer <0>fuzzy matching</0> intelligent variasjoner og håndterer tastefeil, forkortelser og små forskjeller i postene dine.","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist implementerer algoritmene for <0>Levenshtein</0>- og <1>Jaro-Winkler</1>-avstand.","CONSOLIDATE_DUPES_TITLE":"Konsolider duplikater for å beholde én post","CONSOLIDATE_DUPES_DESC_1":"Når en enkel sammenslåing ikke er nok, bruk de avanserte funksjonene: kombiner eller forkast dupliserte verdier for å konsolidere duplikatpostene dine.","CONSOLIDATE_DUPES_DESC_2":"Datablist viser feltene i konflikt og lar deg velge hvordan du vil håndtere dem. Bruk Kombiner verdier for datakonkatenasjon. Og Forkast verdier for å beholde verdien fra én masterpost.","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"Bruk Datablists AI Agent til å scrape hvilket som helst nettsted, automatisere Google-søk og hente ut strukturert data med enkle prompts. Ingen kode nødvendig.","FAQ_Q1":"Er Duplicates Finder gratis å bruke?","FAQ_A1":"Ja, du kan finne og slå sammen duplikater på nett gratis. Grunnleggende funksjoner som 'Exact' og 'Smart' matching er tilgjengelige uten konto. For avanserte algoritmer som fuzzy eller fonetisk matching, trengs en betalt plan.","FAQ_Q2":"Hvordan skiller dette seg fra Excels 'Remove Duplicates'-funksjon?","FAQ_A2":"Excel sletter dupliserte rader permanent, noe som gjør at du kan miste potensielt verdifulle data fra disse postene. Datablist slår sammen poster og kombinerer komplementær informasjon fra alle duplikater til én fullstendig masterpost. Du mister ingen data.","FAQ_Q3":"Hvor stor liste kan jeg deduplisere?","FAQ_A3":"Datablist er bygget for å håndtere store filer. Du kan behandle lister med opptil 1 million rader på gratisplanen og opptil 1,5 millioner rader på våre betalte planer, langt utover grensene til tradisjonelle regnearkverktøy.","FAQ_Q4":"Kan den finne duplikater med skrivefeil eller små variasjoner?","FAQ_A4":"Absolutt. Verktøyet vårt bruker avanserte fuzzy matching-algoritmer, som Levenshtein- og Jaro-Winkler-avstand, for å identifisere like poster selv med feilstavinger, skrivefeil eller små formateringsforskjeller.","FAQ_Q5":"Hvordan håndterer den felt med flere verdier, som to email-adresser i én celle?","FAQ_A5":"Den er laget for akkurat det. Du kan aktivere \"Multiple Value Matching\" for å behandle hver verdi i en celle (separert med semikolon) som en egen oppføring ved sammenligning. Den finner et treff selv om bare én av verdiene er et duplikat.","FAQ_Q6":"Kan jeg finne duplikater på tvers av flere CSV- eller Excel-filer?","FAQ_A6":"Ja. Du kan importere flere filer til Datablist og kjøre Duplicates Finder på tvers av alle. Den kan matche poster basert på en felles identifikator, selv om filene har ulike kolonner eller strukturer.","FAQ_Q7":"Må jeg kunne kode for å bruke det?","FAQ_A7":"Ikke i det hele tatt. Datablist er en helt no-code-løsning. Duplicates Finder guider deg gjennom en enkel, trinnvis prosess der du velger kolonner og matchingsregler fra et brukervennlig grensesnitt.","FAQ_Q8":"Hvordan kan AI hjelpe med å slå sammen duplikater?","FAQ_A8":"Funksjonen vår AI Editing gir deg ubegrenset fleksibilitet. I stedet for standard sammenslåingsregler kan du skrive instruksjoner på enkel engelsk. For eksempel kan du be den summere salgstall fra duplikatposter eller velge masterpost basert på den nyeste datoen. Det gjør kompleks logikk om til en enkel forespørsel.","FAQ_Q9":"Hva skjer med dataene mine når jeg slår sammen duplikater?","FAQ_A9":"Datablist konsoliderer dataene dine i én masterpost. Den fyller automatisk ut manglende informasjon fra andre duplikater og gir deg alternativer for konflikter: du kan kombinere tekst fra ulike rader eller velge hvilken verdi som skal beholdes. De overflødige postene slettes deretter.","FAQ_Q10":"Hvilke matchingsalgoritmer er tilgjengelige?","FAQ_A10":"Vi tilbyr flere algoritmer for ulike behov: 'Exact' for identiske treff, 'Smart' for variasjoner som ordrekkefølge eller URL-protokoller, 'Phonetic' for navn som høres like ut, og 'Fuzzy Matching' for skrivefeil og feilstavinger.","FAQ_Q11":"Kan jeg eksportere listen over duplikatgrupper for å gjennomgå dem før sammenslåing?","FAQ_A11":"Ja. Etter at Datablist har identifisert alle duplikatgruppene, kan du eksportere dem til en CSV- eller Excel-fil før du gjør endringer. Denne filen lister alle duplikatpostene fortløpende, med hver gruppe listet etter hverandre, noe som gjør det enkelt å gjennomgå dem eksternt eller behandle dem med et annet verktøy.","FAQ_Q12":"Etter at jeg har slått sammen duplikater i Datablist, hvordan kan jeg oppdatere CRM-et mitt?","FAQ_A12":"Når du er ferdig med sammenslåingen, gir Datablist en nedlastbar 'Changes List'. Denne filen fungerer som en logg og viser alle poster som ble oppdatert eller slettet i prosessen. Du kan bruke denne filen til enkelt å replikere endringene i ditt eksterne system, som et CRM, slik at dataene dine forblir helt synkronisert."},"CSVEditor":{"PAGE_TITLE":"Gratis nettbasert CSV-editor og -viser","PAGE_DESC":"En moderne CSV-editor for å håndtere CSV-filene dine på nett. Åpne og rediger dataene dine direkte i nettleseren","HEADER_TITLE":"Nettbasert CSV-editor og -viser","HEADER_DESC_1":"Utforsk og rediger CSV-filer med leads, kunder eller produkter på nett.","NO_SIGNUP":"Ingen registrering nødvendig","ONLINE_100":"100 % nettbasert","NO_CODE_CONFIG":"No-code-konfigurasjon","CSV_DEF_TITLE":"Hva er en CSV-fil?","CSV_DEF_DESC_1":"CSV står for 'Comma Separated Value(s)' og er et format for å lagre strukturert data i tekstfiler. I en CSV-fil er hver linje en dataoppføring. Hver oppføring består av felt separert med komma (eller noen ganger semikolon ';' eller tabulator-tegn).","CSV_DEF_DESC_2":"CSV-filer er en vanlig måte å overføre data mellom applikasjoner på. Fordi det baserer seg på tekstfiler, er CSV-formatet en enkel måte å eksportere data fra databaser eller regneark.","EDIT_TITLE":"Åpne CSV-filer på nett","EDIT_DESC_1":"Last opp CSV-filene dine direkte i nettleseren. Datablist CSV Editor oppdager automatisk kolonneseparatoren i CSV-filen.","EDIT_DESC_2":"Velg hvilke CSV-kolonner som skal importeres og definer datatyper: Tekst, LongText, dato, tall, email-adresse osv.","EDIT_DESC_3":"Når de er importert, bruk Datablist til å sortere på enhver egenskap og filtrere dataene dine med fulltekstsøk.","DATA_MANIP_TITLE":"Rens og konsolider CSV-filene dine","DATA_MANIP_DESC":"Slutt å bruke Excel eller Google Sheets til datamanipulasjon 😱!","WHY_USE_CSV_TITLE":"Hvorfor bruke Datablists CSV-editor?","WHY_USE_CSV_BLOC_TITLE_1":"Rens mailinglisten din","WHY_USE_CSV_BLOC_DESC_1":"Email-lister er en perfekt måte å nå brukerbasen din på. Men over tid blir en liste rotete. Forbedre leveringsgrad og spar penger med Datablist. Fjern duplikater og ugyldige email-adresser enkelt.","WHY_USE_CSV_BLOC_TITLE_2":"Administrer produktkatalogene dine","WHY_USE_CSV_BLOC_DESC_2":"Alle e-handelsverktøy tillater import/eksport av produktkataloger med CSV-filer. Enten du rydder i produktkatalogen før du sender den til Google Shopping, eller konsoliderer flere butikker i én samling, er Datablist skreddersydd for håndtering av lister.","WHY_USE_CSV_BLOC_TITLE_3":"Berik dine Leads","WHY_USE_CSV_BLOC_DESC_3":"Har du en prospektliste du vil berike med email-adresser, stillingstitler, LinkedIn-profil osv.? CRM-verktøy er flotte for å spore og berike leads når de har vist interesse. Men for prospektlistebygging og lead scoring i stor skala har de begrensninger. Datablist er et perfekt verktøy for å spore prospekter.","WHY_USE_CSV_BLOC_TITLE_4":"Spor SEO-nøkkelordene dine","WHY_USE_CSV_BLOC_DESC_4":"Bygger du en SEO-strategi? Bruk Datablist til å lagre SEO-nøkkelordene dine, liste konkurrenter, analysere månedlig søkevolum og nøkkelordets vanskelighetsgrad. Noter idéer til blogginnlegg og følg med på konkurrenters blogginnlegg.","CSV_CLEANER_TITLE":"CSV-rengjøring","CSV_CLEANER_DESCRIPTION":"CSV-filer kan være utsatt for feil, inkonsistenser og formateringsproblemer, noe som kan gjøre dem vanskelige å jobbe med og analysere. CSV-rengjøring er prosessen med å oppdage og korrigere slike problemer i en CSV-fil, slik at dataene er nøyaktige, konsistente og riktig formatert.","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSV-deduplisering","CSV_CLEANER_TITLE_BLOC_DESC_1":"Deduplisering av data er en viktig del av CSV-rengjøring. Med Datablist Duplicates Finder kan du sammenligne data basert på alle tilgjengelige kolonner eller velge spesifikke kolonner for sammenligning. Med en avansert algoritme kan dette verktøyet raskt skanne selv store datasett og identifisere duplikater på sekunder. I tillegg til å identifisere dupliserte poster i CSV-filene dine, tilbyr Datablist Duplicates Finder en kraftig sammenslåingsfunksjon. Den konsoliderer dupliserte poster til én nøyaktig post.","CSV_CLEANER_TITLE_BLOC_TITLE_3":"Konverter datatyper","CSV_CLEANER_TITLE_BLOC_DESC_3":"Å konvertere datatyper er en vanlig oppgave i CSV-rengjøring. Det sikrer datanøyaktighet og konsistens ved å transformere dataverdier til standardiserte formater. Med datatypekonvertering kan du endre formatet på verdier i CSV-filen for å matche spesifikke datatyper, som dato/tid, tall eller boolsk. Datatypekonvertering er viktig for å filtrere CSV-en din og gjøre tekststrenger om til standardiserte formater som kan importeres i andre verktøy.","CSV_CLEANER_TITLE_BLOC_TITLE_6":"Rens HTML-tagger og fjern symboler","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablist har et innebygd renseverktøy som konverterer HTML-kode med tagger til ren tekst. Andre renseverktøy inkluderer fjerning av emojier og symboler fra tekster og fjerning av unødvendige mellomrom. Med disse verktøyene kan du forbedre lesbarheten og brukbarheten til dataene dine. Ved å fjerne unødvendig støy og symboler gjør du dataene dine klarere og mer konsise.","CSV_CLEANER_TITLE_BLOC_TITLE_7":"Søk og erstatt","CSV_CLEANER_TITLE_BLOC_DESC_7":"Verktøyet 'Søk og erstatt' er perfekt for datarengjøring. Søk etter spesifikke verdier eller mønstre og erstatt dem med riktige eller ønskede verdier. Dette hjelper til med å rette skrivefeil, formateringsinkonsistenser eller andre inndatafeil som kan forekomme i dataene dine. Bruk det til standardisering av dataene dine. Søk etter ulike varianter eller formater av en bestemt verdi og erstatt dem med et standardisert format.","CSV_MANIPULATION_TITLE":"Et kraftig verktøy for CSV-manipulasjon","CSV_MANIPULATION_BLOC_TITLE_1":"Bulk Edit","CSV_MANIPULATION_BLOC_DESC_1":"Datablist Bulk Edit forenkler CSV-rengjøringsprosessen. Gjør endringer i flere elementer samtidig. Bruk endringer på hele samlinger, rediger filtrerte elementer eller bulk-rediger valgte elementer. Det er et svært effektivt verktøy for å administrere og oppdatere store datasett. Med Datablist Bulk Edit kan du standardisere dataene dine. Bruk konsekvent formatering og verdier på alle relevante poster.","CSV_MANIPULATION_BLOC_TITLE_2":"Skriv JavaScript-kode for datamanipulasjon","CSV_MANIPULATION_BLOC_DESC_2":"JavaScript er et kraftig språk som kan brukes direkte i Datablist for å rense dataene dine. En av hovedfordelene ved å bruke JavaScript til CSV-rengjøring er fleksibiliteten. Regnearkverktøy bruker formler som kan være komplekse og trege. Med JavaScript kan du lage egendefinerte skript som utfører alt fra enkel formatering og datatypekonvertering til mer komplekse datatransformasjoner og analyser.","CSV_MANIPULATION_BLOC_TITLE_3":"Del og slå sammen CSV-kolonner","CSV_MANIPULATION_BLOC_DESC_3":"Å dele og slå sammen CSV-kolonner er en nyttig teknikk for CSV-rengjøring. Det hjelper deg å restrukturere og organisere dataene på en mer meningsfull måte. Hvis du for eksempel har én kolonne som inneholder flere dataverdier separert av et skilletegn, som komma eller semikolon, kan du dele kolonnen opp i flere kolonner basert på skilletegnet.","CSV_MANIPULATION_TITLE_4":"Samkjør dataene dine fra flere CSV-filer","CSV_MANIPULATION_DESC_4":"Dataavstemming er enkelt med Datablist. Importer flere datakilder i flere samlinger. Velg deretter felles identifikatorer mellom listene for å koble dem sammen. Datablist har alternativer for 'FULL OUTER JOIN' og 'LEFT OUTER JOIN'. Du kan konfigurere hvordan motstridende data skal slås sammen. Hopp over eller slå sammen importerte data.","CSV_ONLINE_EDITOR":"En nettbasert, men kraftig CSV-editor","CSV_ONLINE_EDITOR_DESC_1":"Andre nettbaserte CSV-editorer tilbyr enkle funksjoner for å åpne og vise CSV-filer, og er som oftest fullstappet av annonser. Datablist er en nettbasert CSV-editor, men likevel kraftig nok til å åpne store CSV-filer uten å installere en app på datamaskinen din. Den utnytter nettleserens muligheter til å lagre og behandle data.","CSV_ONLINE_EDITOR_DESC_2":"Du kan opprette en ny CSV-fil fra bunnen av, parse eksterne CSV-filer eller åpne Excel-filer. Når de er åpnet, bruk innebygd filter- og sorteringsverktøy for å utforske dataene dine. Eller rens og rediger CSV-dataene dine. All datamanipulasjon er tilgjengelig via et brukervennlig grensesnitt rett i nettleseren.","CROSS_OS_TITLE":"En CSV-editor for Windows, macOS og Linux","CROSS_OS_DESC_1":"Datablist CSV Editor er kompatibel med alle plattformer og operativsystemer. Åpne CSV-filene dine i nettleseren på Microsoft Windows, macOS og Linux","CROSS_OS_DESC_2":"Ved å utnytte kraften i moderne nettleserteknologi bryter appen vår ned plattformbarrierer. Dataene dine lastes inn i en lokal database som kjører i nettleseren din. Med skysynkronisering holder Datablist dataene dine synkronisert i skyen og på tvers av teamet ditt.","PARSE_ONLINE_TITLE":"Parse og endre CSV-filer på nett","PARSE_ONLINE_DESC_1":"Parse og endre CSV-filer på nett uten friksjon med vår intuitive app, med lynraske hastigheter. Parse, ekstraher og organiser data fra CSV- og Excel-filer, alt i et brukervennlig, nettbasert grensesnitt.","PARSE_ONLINE_DESC_2":"Si farvel til kompliserte installasjoner eller kompatibilitetsproblemer. Datablist sikrer problemfri CSV-parsing fra enhver enhet med internettforbindelse.","PARSE_ONLINE_DESC_3":"Datablist parser store CSV-filer på få sekunder, slik at du raskt kan hente ut verdifulle innsikter.","PARSE_ONLINE_DESC_4":"Endre CSV-dataene dine direkte med Datablist og eksporter til CSV- eller Microsoft Excel-format.","SEE_ALSO":"Se også","DATA_EDITOR":"Nettbasert dataeditor","DATA_EDITOR_DESC":"Kraftig nettbasert dataeditor for å administrere og manipulere ulike dataformater utover CSV-filer.","DUPLICATES_REMOVER":"Duplikatfjerner","DUPLICATES_REMOVER_DESC":"Avansert verktøy for duplikatdeteksjon og fjerning med fuzzy matching og sammenslåingsmuligheter.","COMBINE_CSV":"Kombiner CSV-filer","COMBINE_CSV_DESC":"Slå sammen og konsolider flere CSV-filer ved å bruke felles identifikatorer og join-operasjoner.","EMAIL_CLEANING":"Rengjøring av email-lister","EMAIL_CLEANING_DESC":"Rens og valider email-lister for å forbedre leveringsgrad og redusere bounce rate.","WHY_USE_CSV_BLOC_LINK_1":"Hvordan rense en email-liste","PROSPECT_LIST_BUILDING":"Prospektlistebygging","GUIDE_DATA_CLEANING":"Se veiledningen vår om datarengjøring","INVENTORY_MANAGEMENT_LINK":"Administrer lageret i nettbutikken og leverandørfeeds","DUPLICATES_FINDER_LINK":"Finn og slå sammen dupliserte poster","AI_EDITING_LINK":"Lag datatransformasjonsskript med AI"},"DataEditor":{"PAGE_TITLE":"Nettbasert dataeditor ","PAGE_DESC":"Kraftig nettbasert dataeditor for håndtering av CSV, Excel og strukturert data. Rens, rediger og transformer dataene dine med avanserte verktøy og en no-code-grensesnitt.","HEADER_TITLE":"Nettbasert dataeditor","HEADER_DESC_1":"Administrer dataene dine med en kraftig netteditor som kombinerer enkelheten i regneark med databasefunksjoner.","HEADER_DESC_2":"Importer CSV- og Excel-filer, rens dataene dine og eksporter resultatene – alt i nettleseren.","NO_SIGNUP":"Ingen registrering nødvendig","ONLINE_100":"100 % nettbasert","EASY_TO_USE":"Enkelt å bruke","WHAT_IS_TITLE":"Hva gjør Datablist annerledes?","WHAT_IS_DESC":"Regnearkverktøy er begrenset når du jobber med datalister. I motsetning til databaser mangler de datastruktur og begrensninger. Datablist bringer databasefunksjoner samtidig som brukervennligheten til regneark beholdes. Perfekt for datarensing, håndtering av leads og operasjoner på strukturert data.","EDIT_TITLE":"Importer og rediger datafilene dine","EDIT_DESC_1":"Last opp CSV- og Excel-filer direkte i nettleseren. Datablist oppdager automatisk kolonnetyper og datastruktur.","EDIT_DESC_2":"Definer datatyper for hver kolonne: Tekst, Email, Tall, Dato, URL og mer.","EDIT_DESC_3":"Sorter, filtrer og søk i dataene dine med kraftige verktøy laget for store datasett.","EDIT_DESC_4":"All behandling skjer lokalt i nettleseren din for maksimal hastighet og personvern.","DATA_MANIP_TITLE":"Avansert datamanipulering","DATA_MANIP_DESC":"Gå utover grunnleggende regnearkoperasjoner med kraftige verktøy for datarensing og konsolidering.","DATA_MANIP_BLOC_DUPLICATES_TITLE":"Finn og slå sammen duplikater","DATA_MANIP_BLOC_DUPLICATES_DESC":"Avansert duplikatdeteksjon med fuzzy matching, fonetiske algoritmer og smart sammenslåing uten datatap.","DATA_MANIP_BLOC_CONSO_TITLE":"Kombiner flere filer","DATA_MANIP_BLOC_CONSO_DESC":"Slå sammen CSV-filer ved hjelp av felles identifikatorer med JOIN-operasjoner som i databaser.","DUPLICATES_LINK":"Lær om fjerning av duplikater","COMBINE_LINK":"Veiledning for å kombinere CSV-filer","NOCODE_TITLE":"No-code dataoperasjoner","NOCODE_DESC_1":"Utfør komplekse dataoperasjoner uten å skrive kode. Bruk intuitive grensesnitt for datarensing, transformasjon og berikelse.","NOCODE_DESC_2":"Innebygde verktøy for bulk-redigering, søk og erstatt, konvertering av datatyper og mer.","PRODUCTIVITY_TITLE":"Øk produktiviteten","PRODUCTIVITY_DESC":"Arbeid raskere med tastesnarveier, bulk-operasjoner og strømlinjeformede workflows utviklet for datafagfolk.","PRODUCTIVITY_BULLET_1":"Kopier og lim inn fra alle regnearkverktøy","PRODUCTIVITY_BULLET_2":"Tastesnarveier for avanserte brukere","PRODUCTIVITY_BULLET_3":"Bulk-rediger flere elementer samtidig","PRODUCTIVITY_BULLET_4":"Angre/gjør om for trygge dataoperasjoner","FEATURES_TITLE":"Database-drevne funksjoner","DATABASE_FEATURES_TITLE":"Datastruktur og begrensninger","DATABASE_FEATURES_DESC":"Definer datatyper, unike begrensninger og valideringsregler. Sikre datakvalitet med innebygd validering.","EDITING_FEATURES_TITLE":"Avanserte redigeringsverktøy","EDITING_FEATURES_DESC":"Bulk-redigering, søk og erstatt med regulære uttrykk (regex), konvertering av datatyper og JavaScript-skripting for komplekse transformasjoner.","SEARCH_FEATURES_TITLE":"Kraftig søk","SEARCH_FEATURES_DESC":"Fulltekstsøk på tvers av alle kolonner, med umiddelbare resultater selv på store datasett.","FILTER_FEATURES_TITLE":"Avansert filtrering","FILTER_FEATURES_DESC":"Opprett komplekse filterbetingelser med AND/OR-logikk, lagre filtre og jobb med filtrerte utvalg.","CLEANING_TITLE":"Verktøykasse for datarensing","BULK_EDIT_TITLE":"Bulk-redigering","BULK_EDIT_DESC":"Rediger flere elementer samtidig med bulk-operasjoner: endre store/små bokstaver, legg til prefikser/suffikser, fjern symboler, konverter HTML til tekst og mer.","BULK_EDIT_LINK":"Dokumentasjon for bulk-redigering","DATA_TYPES_TITLE":"Konvertering av datatyper","DATA_TYPES_DESC":"Konverter tekst til tall, datoer, avkrysningsbokser. Tolk Unix-tidsstempler, normaliser tallformater og sikre datakonsistens.","DATA_TYPES_LINK":"Veiledning for datakonvertering","JAVASCRIPT_TITLE":"JavaScript-skripting","JAVASCRIPT_DESC":"Skriv egendefinert JavaScript-kode for komplekse datatransformasjoner. Kall eksterne API-er og lag egendefinerte workflows.","JAVASCRIPT_LINK":"JavaScript-dokumentasjon","FIND_REPLACE_TITLE":"Søk og erstatt","FIND_REPLACE_DESC":"Avansert søk og erstatt med regulære uttrykk, valg for store/små bokstaver og treff på hele ord.","FIND_REPLACE_LINK":"Veiledning for søk og erstatt","EXPORT_TITLE":"Eksporter rensede data","EXPORT_DESC":"Eksporter til CSV- eller Excel-format med valgfritt skilletegn og tegnkoding. 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Dataene dine blir på maskinen din.","INTRO_TITLE":"Nestet JSON til CSV-konverterer for API-svar og komplekse eksporter","INTRO_PARAGRAPHS":["De fleste verktøy feiler med mindre JSON-en din starter med en flat array. Men data fra den virkelige verden kommer rotete. API-svar, webhook-payloads, CRM-eksporter og skrapede filer inneholder nestede objekter, metadata og blandede strukturer. Vi bygde dette verktøyet for å håndtere dem.","Velg radnodene dine, velg objekter som skal flattenes, og angi regler for arrays. Deretter kan du forhåndsvise og laste ned CSV-en din. Hvis du ser etter den beste JSON til CSV-konvertereren for data fra den virkelige verden, er dette den vi bygde for akkurat den jobben."],"EXAMPLES":{"API":{"TITLE":"Eksempel: Konverter et nestet API-svar til CSV","DESCRIPTION":"Ofte fungerer JSON-roten som et objekt, og radene dine ligger skjult i en nestet array som `results` eller `data`. 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Velg spesifikke objekter som skal flattenes, slik at CSV-en holder seg ryddig og du unngår dupliserte felt."},{"TITLE":"Håndtering av arrays","BODY":"Slå sammen arrays med et skilletegn, formater dem som JSON-strenger, eller bruk egendefinerte regler. Du kan beholde tags sammenslått, la komplekse arrays stå som JSON, eller hente ut bare det første elementet fra en liste."},{"TITLE":"Regler for arrays fra tilfelle til tilfelle","BODY":"Bruk spesifikke regler på ulike arrays. Sett én regel for tags og en annen for contacts. Standardkonverterere behandler alle arrays likt, men dette gir deg presis kontroll over den endelige outputen din."}]},"OUTPUT_SETTINGS":{"TITLE":"Innstillinger for CSV-output","ITEMS":[{"TITLE":"Skilletegn","BODY":"Eksporter med komma, semikolon, pipe, tabulator eller et egendefinert skilletegn. Match nøyaktig det skilletegnet målsystemet ditt krever."},{"TITLE":"Inkluder header-rad","BODY":"Velg om CSV-en skal inkludere kolonnenavn i første rad. Fjern headers for å eksportere rå datarader til en annen pipeline."},{"TITLE":"Output-format for dato","BODY":"Formater datoer på nytt før du eksporterer. Generer en CSV klar for regneark eller BI-verktøy uten manuelle endringer."},{"TITLE":"Forhåndsvis før nedlasting","BODY":"Kontroller radvalget ditt, flattenede kolonner og regler for arrays i forhåndsvisningen før du laster ned filen."}]},"ROW_NODES":{"TITLE":"Velge riktige radnoder","PARAGRAPHS":["Å velge riktig array sikrer en nøyaktig konvertering. JSON-filer inneholder ofte wrapper-objekter, metadata og nestede arrays. Enkle konverterere velger den første arrayen de oppdager, og returnerer ofte feil data.","Bruk innstillingen Row nodes for å velge målarrayen din. For å få én rad per selskap, velg parent-posten. For å få én rad per contact, velg child-arrayen.","Denne funksjonen henter ut forretningsdata fra rotete API-payloads, CRM-eksporter og webhook-logger."]},"LARGE_FILES":{"TITLE":"Konverter store JSON-filer til CSV","PARAGRAPHS":["Trenger du å konvertere en stor JSON til CSV, eller håndtere en stor JSON-fil som andre verktøy kveles på? Denne siden ble bygget med akkurat det bruksområdet i tankene.","Du kan jobbe med store payloads, fortsatt inspisere en forhåndsvisning av den genererte CSV-en, og deretter laste ned hele eksporten. Forhåndsvisningen hjelper deg med å bekrefte radnoder, flattenede kolonner og regler for arrays før du går videre med den endelige filen.","Hvis du søkte etter “convert large JSON to CSV”, “JSON to CSV large file” eller “convert big JSON file to CSV”, er det akkurat denne typen workflow verktøyet er laget for å håndtere."]},"PRIVACY":{"TITLE":"JSON til CSV online, uten å sende dataene dine bort","PARAGRAPHS":["Dette er en JSON til CSV-konverterer online, men filen din lastes ikke opp til en ekstern server for parsing. Behandlingen skjer lokalt i nettleseren din.","Det betyr noe når du jobber med kundeeksporter, CRM-data, API-svar, interne logger eller noe annet du helst ikke vil sende videre bare for å konvertere det.","Kort sagt: det er raskt, det er praktisk, og det holder dataene dine tryggere fordi konverteringen skjer på maskinen din."]},"USE_CASES_TITLE":"Når du bør bruke dette verktøyet","USE_CASES":[{"TITLE":"Konverter JSON API-svar til CSV","BODY":"Eksporter data fra API-er der postene ligger inne i nestede felt sammen med metadata."},{"TITLE":"Konverter nestet JSON til flate CSV-kolonner","BODY":"Gjør nestede firmadetaljer, adresseblokker og omsetningsdata om til rene regnearkskolonner."},{"TITLE":"Hent ut nestede arrays fra JSON","BODY":"Målrett og eksporter dypere arrays som contacts, line items eller events ved hjelp av row node-velgeren."},{"TITLE":"Konverter CRM- eller webhook-JSON-eksporter til CSV","BODY":"Klargjør HubSpot-eksporter, interne API-payloads og webhook-logger for Excel eller BI-verktøy."},{"TITLE":"Håndter arrays forskjellig i samme JSON-fil","BODY":"Slå sammen enkle tags, behold det første elementet i en liste, eller stringify komplekse strukturer i samme fil."},{"TITLE":"Klargjør CSV for Excel, Sheets eller importer","BODY":"Juster skilletegn, slå headers av eller på, og formater datoer slik at CSV-en matcher målsystemet ditt."},{"TITLE":"Konverter store JSON-filer uten å miste oversikten","BODY":"Jobb med store JSON-filer, behold en live forhåndsvisning av outputen, og last ned hele CSV-en når strukturen ser riktig ut."},{"TITLE":"Bruk en gratis JSON til CSV-konverterer online","BODY":"Åpne siden, lim inn eller last opp JSON-en din, gjennomgå resultatet og last ned CSV-en gratis uten å installere noe."}],"FAQ_TITLE":"FAQ: konvertering av kompleks JSON til CSV","FAQ_ITEMS":[{"QUESTION":"Er dette en gratis JSON til CSV-konverterer?","ANSWER":"Ja. Denne JSON til CSV-konvertereren er gratis å bruke."},{"QUESTION":"Kan jeg konvertere en nestet JSON-fil til CSV?","ANSWER":"Ja. Velg riktige radnoder, velg objekter som skal flattenes, og eksporter dataene dine."},{"QUESTION":"Kan jeg konvertere et JSON API-svar til CSV når radene ligger i en nestet array?","ANSWER":"Ja. Velg den nestede arrayen, ofte kalt `results`, `items` eller `data`, så bygger verktøyet CSV-en din fra disse postene."},{"QUESTION":"Hva gjør innstillingen Row nodes?","ANSWER":"Den bestemmer hvilken array som danner CSV-radene dine. Bruk den til å hoppe over rotobjekter og målrette nøyaktig dataene du trenger."},{"QUESTION":"Kan jeg konvertere en stor JSON-fil til CSV?","ANSWER":"Ja. Verktøyet er bygget for å håndtere store payloads samtidig som det gir deg en forhåndsvisning av den genererte CSV-en før du laster ned hele filen."},{"QUESTION":"Kan jeg velge hvilke objekter som skal flattenes?","ANSWER":"Ja. Velg spesifikke objektstier som skal utvides til kolonner. Objekter som ikke er valgt, forblir som JSON-strenger, slik at eksporten holder seg ryddig."},{"QUESTION":"Er denne JSON til CSV-konvertereren online og trygg?","ANSWER":"Ja. Den kjører online i nettleseren din, men parsing og konvertering skjer lokalt på maskinen din i stedet for å sendes til en server."},{"QUESTION":"Kan jeg bruke ulike regler på ulike arrays?","ANSWER":"Ja. Bruk modus for regler per tilfelle for å slå sammen, stringify eller redusere arrays per felt."},{"QUESTION":"Hva gjør dette til en av de beste JSON til CSV-konvertererne?","ANSWER":"Den er bygget for de rotete tilfellene folk faktisk sliter med: nestet JSON, flere mulige arrays, selektiv flattening, regler per array, store filer, live forhåndsvisning og lokal behandling for bedre personvern."}],"OTHER_TOOLS_DESC":"Trenger du et annet verktøy etter å ha konvertert JSON? Disse verktøyene dekker nærliggende data-workflows som strukturert sammenligning og diff-er som er enkle å revidere."},"ToolsCsvDiff":{"PAGE_TITLE":"CSV Diff-verktøy","PAGE_DESC":"Gratis CSV diff-verktøy på nett for å sammenligne to CSV-filer, oppdage rader som er lagt til, fjernet eller endret, forhåndsvise forskjeller på cellenivå, velge innstillinger for join og nøkkelkolonner, og laste ned resultatet i nettleseren din.","SCHEMA_NAME":"Datablist CSV Diff-verktøy","SCHEMA_DESC":"Gratis CSV-sammenligningsverktøy på nett for rader som er lagt til, fjernet, endret og uendret, med behandling i nettleseren og nedlastbar diff-CSV som output.","TOOL":{"ERROR_MISSING_SOURCE":"Last opp begge CSV-filene for å sammenligne dem.","FILE_EMPTY_HELP":"Last opp eller slipp en fil","FILE_EMPTY_NAME":"Velg en CSV-fil","FILE_LOADED":"Lastet inn","HELP_TEXT":"Last opp to CSV-filer, velg hvordan radene skal matches, og forhåndsvis deretter diffen her. Alt kjører lokalt i nettleseren din.","ORIGINAL_FILE_DESC":"Den tidligere eksporten, snapshoten eller basisfilen.","ORIGINAL_FILE_TITLE":"Original CSV","OVERLAY_DESC":"Slipp originalfilen først, deretter den oppdaterte.","OVERLAY_TITLE":"Slipp CSV-filene dine her","STATUS_COMPARISON_FAILED":"Sammenligning mislyktes","STATUS_FILES_READY":"Filene er lastet inn. Klare til sammenligning.","STATUS_PREVIEW_READY":"Forhåndsvisning klar","STATUS_WAITING":"Last opp to CSV-filer for å forhåndsvise diffen.","SUBMIT_LABEL":"Sammenlign CSV-filer","UPDATED_FILE_DESC":"Den nyere eksporten du vil sammenligne med originalen.","UPDATED_FILE_TITLE":"Oppdatert CSV","UI":{"COLUMNS_MAPPING":"Kolonnetilordning","MAP_COLUMNS_THAT_CONTAIN_THE_SAME_DATA_WHEN":"Tilordne kolonner som inneholder de samme dataene når de to CSV-filene bruker ulike kolonnenavn.","ONLY_MAPPED_COLUMNS_ARE_USED_FOR_MATCHING_AND":"Bare tilordnede kolonner brukes til matching og sammenligning. Kolonner som ikke er tilordnet, forblir synlige når du utvider en rad.","ORIGINAL_COLUMN":"Opprinnelig kolonne","DO_NOT_COMPARE_THIS_COLUMN":"Ikke sammenlign denne kolonnen","UNMAPPED_UPDATED_ONLY_COLUMNS":"Ikke-tilordnede kolonner som bare finnes i den oppdaterte filen:","MATCHING":"Matching","CHOOSE_HOW_ROWS_SHOULD_BE_MATCHED_BETWEEN_THE":"Velg hvordan rader skal matches mellom den opprinnelige og den oppdaterte CSV-filen.","ROW_MATCHING_MODE":"Metode for radmatching","USE_A_KEY_COLUMN_WHEN_BOTH_FILES_SHARE":"Bruk en nøkkelkolonne når begge filene deler en stabil identifikator. Bruk sammenligning av hele raden når de ikke gjør det.","AUTO_DETECT":"Oppdag automatisk","SELECTED_KEY_COLUMN":"Valgt nøkkelkolonne","MULTIPLE_KEY_COLUMNS":"Flere nøkkelkolonner","FULL_ROW_CONTENT":"Hele radens innhold","CURRENT_MATCH_MODE":"Gjeldende matchingsmetode:","KEY_COLUMN":"Nøkkelkolonne","AUTO_DETECT_PREFERS_COLUMNS_LIKE_ID_EMAIL_SKU":"Automatisk oppdagelse foretrekker kolonner som id, email og sku eller delte felt med svært unike verdier.","USE_DETECTED_SUGGESTION":"Bruk oppdaget forslag","MULTIPLE_KEYS":"Flere nøkler","COMBINE_SHARED_COLUMNS_WHEN_ONE_COLUMN_ALONE_IS":"Kombiner delte kolonner når én kolonne alene ikke er unik nok.","JOIN_TYPE":"Join-type","FULL_OUTER_JOIN_SHOWS_EVERYTHING_INNER_JOIN_SHOWS":"Full outer join viser alt. Inner join viser bare matchede rader. Left join bruker de opprinnelige radene som grunnlag.","FULL_OUTER_JOIN":"Full outer join","INNER_JOIN":"Inner join","LEFT_JOIN":"Left join","COMPARISON":"Sammenligning","NORMALIZE_VALUES_BEFORE_DIFFING_TO_AVOID_NOISE_FROM":"Normaliser verdier før sammenligning for å unngå støy fra endringer som bare gjelder formatering.","IGNORE_COLUMN_ORDER":"Ignorer kolonnerekkefølge","WHEN_ENABLED_COLUMNS_ARE_ALIGNED_BY_NAME_INSTEAD":"Når dette er aktivert, justeres kolonnene etter navn i stedet for posisjon.","COMPARE_COLUMNS_BY_NAME":"Sammenlign kolonner etter navn","IGNORE_WHITESPACE":"Ignorer mellomrom","TRIM_LEADING_AND_TRAILING_WHITESPACE_BEFORE_COMPARING_CELL":"Fjern innledende og avsluttende mellomrom før celleverdier sammenlignes.","TREAT_EXTRA_SPACES_AS_UNCHANGED":"Behandle ekstra mellomrom som uendret","IGNORE_CASE":"Ignorer store og små bokstaver","USEFUL_WHEN_THE_SAME_VALUES_APPEAR_WITH_MIXED":"Nyttig når de samme verdiene forekommer med en blanding av store og små bokstaver.","COMPARE_TEXT_CASE_INSENSITIVELY":"Sammenlign tekst uten å skille mellom store og små bokstaver","EMPTY_AND_NULL_LIKE_VALUES":"Tomme og null-lignende verdier","TREAT_EMPTY_STRINGS_NULL_UNDEFINED_AND_SIMILAR_PLACEHOLDER":"Behandle tomme strenger, null, undefined og lignende plassholderverdier som like.","NORMALIZE_EMPTY_AND_NULL_LIKE_VALUES":"Normaliser tomme og null-lignende verdier","OUTPUT":"Resultat","CHOOSE_WHAT_TO_EXPORT_AND_HOW_THE_DOWNLOADABLE":"Velg hva som skal eksporteres, og hvordan den nedlastbare CSV-filen skal formateres.","OUTPUT_MODE":"Resultatmodus","SUMMARY_KEEPS_ONE_ROW_PER_RECORD_CHANGED_ROWS":"Sammendrag beholder én rad per oppføring. Endrede rader fokuserer bare på endringer. Full diff inkluderer verdier side om side.","SUMMARY_CSV":"Sammendrags-CSV","CHANGED_ROWS_CSV":"CSV med endrede rader","FULL_DIFF_CSV":"Full diff-CSV","DOWNLOAD_SEPARATOR":"Skilletegn for nedlasting","CHOOSE_THE_DELIMITER_USED_IN_THE_DOWNLOADABLE_DIFF":"Velg skilletegnet som skal brukes i den nedlastbare diff-CSV-filen.","INCLUDE_UNCHANGED_ROWS":"Inkluder uendrede rader","KEEP_UNCHANGED_ROWS_IN_THE_DOWNLOADABLE_OUTPUT_WHEN":"Behold uendrede rader i det nedlastbare resultatet når du trenger en fullstendig gjennomgang av hver oppføring.","INCLUDE_UNCHANGED_ROWS_IN_EXPORT":"Inkluder uendrede rader i eksporten","INCLUDE_HEADER_ROW":"Inkluder overskriftsrad","INCLUDE_COLUMN_HEADERS_IN_THE_DOWNLOADABLE_CSV":"Inkluder kolonneoverskrifter i den nedlastbare CSV-filen.","ADD_CSV_HEADER_ROW":"Legg til overskriftsrad i CSV-filen","CSV_DIFF":"CSV-diff","DIFF_PREVIEW":"Forhåndsvisning av diff","DOWNLOAD_DIFFERENCES_CSV":"Last ned CSV med forskjeller","DATA_TABLE":"Datatabell","CHANGED_ROWS":"Endrede rader","SEARCH_VISIBLE_ROWS":"Søk i synlige rader","COMPARISON_ERROR":"Feil under sammenligning","LARGE_CSV_FILES_STAY_IN_YOUR_BROWSER_WHILE":"Store CSV-filer forblir i nettleseren mens bakgrunnsprosessen leser dem og beregner forskjellene.","PREVIEW_THE_CSV_DIFF_HERE":"Forhåndsvis CSV-diffen her","UPLOAD_TWO_CSV_FILES_CHOOSE_HOW_ROWS_SHOULD":"Last opp to CSV-filer, velg hvordan radene skal matches, så viser denne tabellen rader som er lagt til, fjernet, endret og uendret.","NO_ROWS_MATCH_THE_CURRENT_PREVIEW_FILTER":"Ingen rader samsvarer med gjeldende forhåndsvisningsfilter.","STATUS":"Status","ROW_NUMBER":"Radnummer","EXPLAIN_ROW_NUMBER_FORMAT":"Forklar formatet for radnummer","KEY":"Nøkkel","LOAD_MORE_ROWS":"Last inn flere rader","END_OF_CURRENT_RESULT_SET":"Slutten på gjeldende resultatsett","WARNINGS":"Advarsler","CHANGED":"Endret","ADDED":"Lagt til","REMOVED":"Fjernet","UNCHANGED":"Uendret","PROCESSING":"Behandler","ORIGINAL_SEPARATOR":"Opprinnelig skilletegn:","UPDATED_SEPARATOR":"Oppdatert skilletegn:","MATCHED_BY":"Matchet etter:","ORIGINAL_ROWS":"Opprinnelige rader:","UPDATED_ROWS":"Oppdaterte rader:","SUMMARY":"Sammendrag","MAPPED_COLUMNS":"Tilordnede kolonner:","UNMAPPED_COLUMNS":"Ikke-tilordnede kolonner:","DUPLICATE_KEY_ROWS_FLAGGED":"Rader med dupliserte nøkler markert:","PREVIEW_COLUMNS":"Forhåndsviste kolonner:","PARSING_ORIGINAL_CSV":"Leser opprinnelig CSV","PARSING_UPDATED_CSV":"Leser oppdatert CSV","MATCHING_ROWS":"Matcher rader","COMPUTING_DIFFERENCES":"Beregner forskjeller","FILTER_ALL":"Alle","STATUS_ALL":"alle","FILTER_CHANGED":"Endret","STATUS_CHANGED":"endret","FILTER_ADDED":"Lagt til","STATUS_ADDED":"lagt til","FILTER_REMOVED":"Fjernet","STATUS_REMOVED":"fjernet","FILTER_UNCHANGED":"Uendret","STATUS_UNCHANGED":"uendret","COPIED":"Kopiert","COPY_FAILED":"Kopiering mislyktes","COPY_DIFFERENCES_CSV":"Kopier CSV med forskjeller","FULL_ROW":"Hele raden","FULL_ROW_CONTENT_2":"innholdet i hele raden","ROW_NUMBER_TOOLTIP":"{original} rad : {updated} rad.","ORIGINAL_VALUE_HEADER":"{file} opprinnelig","UPDATED_VALUE_HEADER":"{file} oppdatert","ROWS_CHANGED_PERCENT":"{percent}% av radene er endret","NO_CELL_CHANGES":"Ingen celleendringer","NO_CHANGED_CELLS":"Ingen endrede celler.","SHOWING_ROWS":"Viser {visible} av {total} rader","SEPARATOR_OPTION_COMMA":"Komma (,)","SEPARATOR_COMMA":"Komma","SEPARATOR_OPTION_SEMICOLON":"Semikolon (;)","SEPARATOR_SEMICOLON":"Semikolon","SEPARATOR_OPTION_PIPE":"Loddrett strek (|)","SEPARATOR_PIPE":"Loddrett strek","SEPARATOR_OPTION_TAB":"Tabulator (\\t)","SEPARATOR_TAB":"Tabulator","ROW_ONLY_UPDATED":"Denne raden finnes bare i den oppdaterte CSV-filen.","ROW_ONLY_ORIGINAL":"Denne raden finnes bare i den opprinnelige CSV-filen.","COLUMN_NEW":"ny kolonne","COLUMN_DELETED":"slettet kolonne","COLUMNS_CHANGED":"{count, plural, one {# kolonne endret} other {# kolonner endret}}","COLUMN_SAME":"samme"}},"KEYWORDS":["csv diff online","compare csv files online","csv comparison tool","compare two csv files online","compare csv by id","compare csv by key column","csv diff row numbers","compare csv row numbers","csv diff join type","full outer join csv compare","csv diff ignore case","csv diff ignore whitespace","csv diff utf-8","csv diff utf-16","csv diff windows-1252","csv diff latin-1","csv diff output csv","compare large csv files online","free csv diff tool","find differences between csv files","csv changes detector","datablist tools"],"HERO_TITLE":"CSV diff på nett for ekte forretningsdata","HERO_DESC":"Dette CSV-sammenligningsverktøyet er laget for gamle og nye eksporter, CRM-øyeblikksbilder, produktkataloger og lead-lister. I stedet for å vise en støyete tekst-diff linje for linje, sammenligner det rader som data, hjelper deg med å matche rader etter id eller email, og fremhever hvilke celler som faktisk er endret.","EXAMPLE":{"TITLE":"Eksempel: sammenlign to CSV-eksporter etter id","DESCRIPTION":"Dette er den vanlige workflowen for å sammenligne en tidligere eksport med en nyere. Én rad forblir uendret, én rad endres, én forsvinner, og én ny rad dukker opp.","DIFF_LABEL":"Diff-resultat"},"MATCHING":{"TITLE":"Sammenlign CSV-rader etter nøkkelkolonne","PARAGRAPHS":["Den beste måten å sammenligne to CSV-filer på nett er vanligvis å matche rader med en stabil nøkkel som `id`, `email`, `sku` eller `uuid`. Verktøyet foreslår automatisk en sannsynlig nøkkelkolonne når det finner en, men du kan overstyre det, velge flere nøkkelkolonner eller falle tilbake til sammenligning av hele rader.","Dette er spesielt nyttig når filene inneholder de samme postene i en annen rekkefølge, eller når kolonner har blitt omorganisert mellom eksportene."]},"STATUSES":{"TITLE":"Rader som er lagt til, fjernet, endret og uendret","PARAGRAPHS":["Diff-resultatet deler radene inn i fire praktiske statuser: lagt til, fjernet, endret og uendret. For endrede rader viser forhåndsvisningen hvilke kolonner som er endret, og den gamle verdien versus den nye verdien.","Det gjør dette verktøyet mer nyttig enn en enkel tekst-diff for CSV-filer, spesielt når du må forklare hva som er endret til ikke-tekniske team."]},"ADVANCED_TITLE":"Avanserte CSV diff-innstillinger for mer presis sammenligning","ADVANCED_DESC":"De fleste CSV diff-verktøy på nett stopper ved en enkel sammenlign-knapp. Dette gir deg mer kontroll når du må sammenligne CSV-filer etter nøkkelkolonne, justere hvordan rader joins, ignorere forskjeller som bare skyldes formatering, eller velge nøyaktig hvilket diff-output du vil laste ned.","DETAIL_CARDS":[{"TITLE":"Join-type: full outer join, inner join eller left join","PARAGRAPHS":["Join-type definerer hvilke rader som vises i den endelige CSV-diffen. Full outer join er standard fordi den viser alt: matchende rader, rader som er lagt til, og rader som er fjernet. Inner join beholder bare rader som finnes i begge filene. Left join bruker den opprinnelige CSV-filen som base og er nyttig når du hovedsakelig vil se hvilke opprinnelige poster som er endret eller forsvunnet.","Dette er spesielt nyttig for søk som «full outer join CSV compare» eller «compare old and new CSV file with removed rows», fordi join-modusen endrer betydningen av diffen."]},{"TITLE":"Matching på nøkkelkolonne for ids, emails, SKU-er og sammenligning med flere nøkler","PARAGRAPHS":["Hvis du vil sammenligne CSV etter id, email, SKU, uuid eller en annen identifikator, er innstillingen for nøkkelkolonne det som gjør resultatet pålitelig. I stedet for å matche rader etter linjerekkefølge, matcher verktøyet poster etter valgt nøkkel slik at omorganisering av kolonner eller flytting av rader ikke skaper falske forskjeller.","Du kan også bruke flere nøkkelkolonner når ett felt ikke er unikt nok. Det gjør verktøyet nyttig for mer avanserte søk som «compare CSV by key column» eller «compare CSV files by multiple columns»."]},{"TITLE":"Sammenligningsinnstillinger for å ignorere whitespace, store/små bokstaver og null-lignende verdier","PARAGRAPHS":["Virkelige eksporter skiller seg ofte bare på grunn av formatering. Én fil kan inneholde ekstra mellomrom, tekst med store bokstaver eller plassholderverdier som `null`, `N/A` eller tomme strenger. Sammenligningsinnstillingene lar deg ignorere forskjeller i whitespace, ignorere store/små bokstaver og behandle tomme og null-lignende verdier som like før diffen beregnes.","Disse valgene betyr noe når brukere søker etter et mer avansert CSV-sammenligningsverktøy i stedet for en naiv tekst-diff. De bidrar til å redusere støy og holde forhåndsvisningen fokusert på reelle dataendringer."]},{"TITLE":"Output-format: oppsummerings-CSV, CSV med endrede rader eller full diff-CSV","PARAGRAPHS":["Noen workflows trenger bare en kompakt oppsummering med radstatus og nøkler. Andre trenger en CSV med bare endrede rader, eller en full diff-CSV med opprinnelige og oppdaterte verdier side om side. Output-innstillingene lar deg velge formatet, velge separator og bestemme om uendrede rader skal være med i den eksporterte filen.","Dette gjør verktøyet mer fleksibelt enn mange gratis CSV diff-verktøy på nett, fordi det eksporterte resultatet kan tilpasses revisjoner, business reviews, avstemmings-workflows eller videre arbeid i regneark."]},{"TITLE":"Sammenlign store CSV-filer på nett","PARAGRAPHS":["Verktøyet er laget for å sammenligne store CSV-filer på nett uten å prøve å rendre hver rad i nettleseren. Det beregner komplette oppsummeringstall, begrenser forhåndsvisningen til et håndterbart utvalg, og lar deg fortsatt laste ned hele diff-resultatet etterpå.","Hvis du trenger et gratis CSV diff-verktøy for store eksporter, er denne workflowen for store filer selve poenget med denne siden."]},{"TITLE":"Kompatibel med flere CSV-encodinger","PARAGRAPHS":["CSV-filer i praksis er ikke alltid lagret som ren UTF-8. Dette verktøyet er laget for å håndtere vanlige encodinger fra regneark og eksporter, inkludert UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil.","Dette er viktig når du trenger CSV diff på nett for filer som kommer fra Excel, eldre business-software eller regionale eksporter som ellers åpnes med ødelagte aksenter eller uleselige tegn."]},{"TITLE":"Radnumre i diff-datatabellen","PARAGRAPHS":["Når du sammenligner CSV-filer etter nøkkelkolonne, kan diff-datatabellen også vise radnumrene fra kilden for hver matchede post. Hvis raden ble stående på samme plass, ser du ett radnummer. Hvis posten ble flyttet, viser tabellen begge radnumrene slik at du kan spore den tilbake i hver fil.","Dette er nyttig for revisjoner, avstemmingsarbeid og support-saker der du ikke bare må forklare hva som er endret, men også nøyaktig hvor raden kom fra i den opprinnelige CSV-filen og den oppdaterte CSV-filen."]},{"TITLE":"Privat behandling i nettleseren","PARAGRAPHS":["CSV-filer parses og sammenlignes i nettleseren din. Det er viktig når du jobber med kundedataeksporter, inntekts-snapshots, lagerdata eller andre sensitive regneark som bør bli værende på maskinen din.","Det gjør også CSV diff-opplevelsen på nett raskere fordi det ikke er noe opplastingstrinn på serversiden før du kan inspisere resultatet."]}],"FAQ_TITLE":"FAQ","FAQ_ITEMS":[{"QUESTION":"Hvordan sammenligner jeg to CSV-filer på nett?","ANSWER":"Last opp den opprinnelige CSV-filen og den oppdaterte CSV-filen, velg hvordan radene skal matches, se gjennom diff-forhåndsvisningen, og last deretter ned oppsummeringen eller den fulle diff-CSV-en. Matching etter id, email eller en annen stabil nøkkel gir vanligvis det tydeligste resultatet."},{"QUESTION":"Kan jeg sammenligne CSV-filer etter id?","ANSWER":"Ja. Verktøyet er laget for å sammenligne CSV-rader etter nøkkelkolonne. Det kan automatisk foreslå kolonner som id, email, sku, key eller uuid, og du kan også velge flere nøkkelkolonner når én kolonne alene ikke er nok."},{"QUESTION":"Hva hvis kolonnene er omorganisert?","ANSWER":"Standardoppførselen sammenligner kolonner etter kolonnenavn, ikke bare etter posisjon. Det betyr at omorganiserte kolonner ikke skaper falske forskjeller når kolonner med samme navn finnes i begge filene."},{"QUESTION":"Hva betyr join-type i en CSV diff?","ANSWER":"Join-type styrer hvilke rader som tas med i resultatet. Full outer join inkluderer matchede, tillagte og fjernede rader. Inner join inkluderer bare rader som finnes i begge filene. Left join bruker den opprinnelige CSV-filen som base og utelukker rader som bare finnes i den oppdaterte filen."},{"QUESTION":"Kan jeg ignorere whitespace eller forskjeller i store/små bokstaver?","ANSWER":"Ja. Sammenligningsinnstillingene kan ignorere whitespace, ignorere store/små bokstaver og behandle tomme eller null-lignende verdier som like. Det hjelper når du vil finne reelle dataendringer i stedet for støy som bare skyldes formatering."},{"QUESTION":"Hvilke CSV-encodinger støttes?","ANSWER":"Verktøyet er kompatibelt med vanlige CSV-encodinger, inkludert UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil. Det hjelper med CSV-eksporter fra Excel, legacy-software og business-systemer som ikke bruker UTF-8."},{"QUESTION":"Kan jeg se radnumre i diffen?","ANSWER":"Ja. Når rader matches etter nøkkelkolonne, kan diff-datatabellen vise radnumre for begge filene. Hvis posten vises på ulike linjenumre i hver fil, vises begge radnumrene slik at du kan spore matchen tilbake til kilde-CSV-ene."},{"QUESTION":"Hvilke output-formater er tilgjengelige?","ANSWER":"Du kan eksportere en oppsummerings-CSV, en CSV med endrede rader eller en full diff-CSV. Output-innstillingene lar deg også velge separator og om uendrede rader skal inkluderes."},{"QUESTION":"Kan dette sammenligne store CSV-filer?","ANSWER":"Ja. Forhåndsvisningen holdes begrenset slik at siden forblir responsiv, mens den fulle diffen fortsatt beregnes for tellinger og nedlasting. Det gjør den egnet for større eksporter enn en enkel, DOM-tung visning ville håndtert komfortabelt."},{"QUESTION":"Er dette CSV-sammenligningsverktøyet gratis?","ANSWER":"Ja. Denne siden er et gratis CSV diff-verktøy på nett. Du kan sammenligne CSV-filer på nett, inspisere forskjellene og laste ned resultatet uten å måtte installere et desktop-program."}],"OTHER_TOOLS_DESC":"Trenger du et annet dataverktøy etter å ha sammenlignet to CSV-filer? Disse verktøyene er laget for nærliggende workflows for datarensing og konvertering."},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV-radsplitter — del/utvid CSV-rader etter skilletegn","PAGE_DESC":"Gratis nettverktøy for å dele CSV-rader etter skilletegn. Velg en kolonne, velg en separator, og utvid celler med flere verdier til én rad per verdi. Fungerer med store filer, helt i nettleseren.","SCHEMA_NAME":"Datablist CSV-radsplitter","SCHEMA_DESC":"Gratis nettbasert CSV-radsplitter. Del celler med flere verdier til individuelle rader ved å velge en kolonne og et skilletegn. Kjører helt i nettleseren og fungerer med store filer.","TOOL":{"CHARS":"tegn","COLUMN_HELP":"Velg hvilken kolonne som inneholder flere verdier i hver celle.","COLUMN_LABEL":"Kolonne som skal splittes","COPY_ARIA":"Kopier CSV","COPY_DONE_LABEL":"Kopiert!","DELIMITER_CUSTOM_HINT":"eller skriv inn en egendefinert skilletegn","DELIMITER_HELP":"Tegnet som brukes til å skille verdier inne i cellen.","DELIMITER_LABEL":"Celleskilletegn","EMPTY_SOURCE_LABEL":"Lim inn CSV eller last opp en fil","ERROR_MISSING_SOURCE":"Lim inn CSV-innhold eller last opp en CSV-fil først.","NO_PREVIEW_DESC":"Last opp en CSV eller lim inn data og klikk på Splitt rader.","NO_PREVIEW_TITLE":"Ingen forhåndsvisning ennå","OPTIONS_DUPLICATES_DESC":"Behold bare den første forekomsten av hver verdi i en celle.","OPTIONS_DUPLICATES_LABEL":"Fjern duplikater","OPTIONS_HEADER":"Alternativer","OPTIONS_SKIP_EMPTY_DESC":"Fjern rader som ville vært tomme etter splitting.","OPTIONS_SKIP_EMPTY_LABEL":"Hopp over tomme verdier","OPTIONS_TRIM_DESC":"Fjern innledende/etterfølgende mellomrom fra hver verdi.","OPTIONS_TRIM_LABEL":"Trim mellomrom","OVERLAY_DESC":"Filen blir behandlet lokalt og forhåndsvist umiddelbart.","OVERLAY_TITLE":"Slipp CSV-filen din her","PASTE_LABEL":"Lim inn CSV","PASTED_LABEL":"Innlimt CSV","PREVIEW_LIMIT":"{count} av {total} rader","PREVIEW_SPLIT_BADGE":"splittet","ROWS_AFTER":"Rader etter","ROWS_BEFORE":"Rader før","STATUS_FAILED":"Behandling mislyktes","STATUS_PREVIEW_READY":"Forhåndsvisning klar","STATUS_PROCESSING":"Behandler CSV…","STATUS_WAITING":"Venter på input","SUBMIT_LABEL":"Splitt rader","TRUST_BROWSER":"Behandles i nettleseren din","TRUST_LARGE_FILES":"Fungerer med store CSV-filer","TRUST_NO_UPLOAD":"Ingen opplasting til server","DELIMITERS":{"COMMA":"Komma ,","SEMICOLON":"Semikolon ;","PIPE":"Vertikalstrek |","TAB":"Tabulator \\t"},"CUSTOM_DELIMITER":"Egendefinert…","PASTE_PLACEHOLDER":"Navn,E-poster\nMia Chen,\"mia.chen@example.test,mia@workmail.test\"\nLucas Martin,\"lucas@northwind.test,lucas@ops.test\"\nSofia Lopez,sofia.lopez@example.test","PREVIEW_DOWNLOAD_HINT":"Viser {count} av {total} rader – last ned CSV-filen for å få med alle radene."},"KEYWORDS":["splitte csv-rader etter skilletegn","splitte kolonne til flere rader csv","excel del celle til flere rader","normalisere csv-data","normalisere csv-celler med flere verdier","csv utf-8 utf-16 windows-1252","csv latin-1 encoding tool","utvide rader csv","csv unpivot kolonne med flere verdier","splitte kommaseparerte verdier til rader","csv explode column","unnest csv-kolonne","tidy data flere verdier per celle","flate ut csv-kolonne","splitte kommaseparerte verdier til flere rader excel","hvordan normalisere csv med flere verdier i én celle","konvertere celle med flere verdier til rader csv online","splitte emails i én celle til flere rader","datablist tools"],"HERO_TITLE":"Del CSV-rader etter skilletegn — på sekunder. Ingen Excel-formler.","HERO_DESC":"Jeg eksporterte kontakter fra CRM-et mitt. Alle emails var pakket inn i én celle, kommaseparert. Jeg trengte én email per rad. Excel gjorde det unødvendig tungvint. Dette verktøyet gjør det på 10 sekunder.","WHY_TITLE":"Hvorfor det er viktig å dele opp celler med flere verdier","WHY_DESC":"CRM-er, e-handelsplattformer og eksport fra spørreundersøkelser legger ofte flere verdier i én enkelt celle. Tags, emails, telefonnumre, kategorier — alt havner bak et skilletegn. Normaliserte data er enklere å importere, deduplisere, filtrere og berike. Én verdi per rad er standarden verktøyene dine forventer.","INTRO_CARDS":[{"TITLE":"Del en kolonne til flere rader i CSV","PARAGRAPHS":["Bruk dette verktøyet når du trenger å dele en kolonne til flere rader i en CSV. Det er laget for filer der én celle inneholder flere emails, tags, telefonnumre, kategorier, ferdigheter eller ID-er separert med et skilletegn.","Dette er en av de raskeste måtene å normalisere CSV-data og celler med flere verdier på før du importerer filen til et annet system. I stedet for å beholde flere verdier i én post, utvider du radene i CSV-en slik at hver verdi får sin egen rad."]},{"TITLE":"Slik deler du en celle til flere rader i Excel","PARAGRAPHS":["Mange søker etter hvordan man deler en celle til flere rader i Excel, eller hvordan man deler kommaseparerte verdier til flere rader i Excel. For CSV-filer er dette nettverktøyet som regel raskere enn å bygge formler, bruke Power Query eller kopiere rader manuelt.","Lim inn eller last opp CSV-en din, velg kolonnen, bekreft skilletegnet, og last ned resultatet. Hvis målet ditt er å konvertere en celle med flere verdier til rader i CSV online, er denne siden laget akkurat for den workflowen."]}],"EXAMPLES":{"EMAILS":{"TITLE":"Eksempel: del kontakter med flere emails til én rad per email","DESCRIPTION":"En vanlig CRM-eksport legger hver kontakts email i én enkelt celle. Ved å dele opp blir hver kontakt utvidet til individuelle rader som du kan importere i hvilket som helst verktøy.","INPUT_LABEL":"CSV-inndata","OUTPUT_LABEL":"CSV-utdata"},"TAGS":{"TITLE":"Eksempel: explode produkt-tags til individuelle rader","DESCRIPTION":"Produktkataloger pakker ofte flere tags inn i én celle. Ved å dele dem opp får du en ren struktur med én tag per rad, klar for filtrering, gruppering eller analyse.","INPUT_LABEL":"CSV-inndata","OUTPUT_LABEL":"CSV-utdata"}},"SETTINGS_CARDS":[{"TITLE":"Slik deler verktøyet CSV-rader","ITEMS":[{"TITLE":"Kolonne som skal deles","BODY":"Velg kolonnen som inneholder flere verdier i én celle. Alle andre kolonner dupliseres på de nye radene. Bare én kolonne utvides om gangen i denne versjonen."},{"TITLE":"Skilletegn i cellen","BODY":"Dette er tegnet som skiller verdier inne i cellen — forskjellig fra CSV-separatoren for kolonner. Vanlige valg er komma, semikolon, pipe og tab. Verktøyet foreslår et skilletegn basert på dataene dine."},{"TITLE":"Trim mellomrom","BODY":"Aktivert som standard. Fjerner ledende og etterfølgende mellomrom fra hver verdi etter splitting. Nyttig når verdier er separert med \", \" i stedet for bare \",\"."}]},{"TITLE":"Avanserte alternativer","ITEMS":[{"TITLE":"Fjern duplikater","BODY":"Når en celle inneholder `a,a,b`, vil dette valget bare beholde én `a` og gi to rader i stedet for tre. Nyttig når kildedataene dine har utilsiktede gjentakelser."},{"TITLE":"Hopp over tomme verdier","BODY":"Når en splitting gir en tom streng, for eksempel fra et avsluttende skilletegn som `a,b,`, fjerner dette alternativet den tomme verdien i stedet for å opprette en blank rad."},{"TITLE":"Tomme celler beholdes som standard","BODY":"Hvis en celle er helt tom, beholdes raden som den er. Bare celler som faktisk inneholder skilletegnet utvides."}]}],"INFO_CARDS":[{"TITLE":"Fungerer med store CSV-filer","PARAGRAPHS":["Splitting øker antall rader, noen ganger betydelig. En fil med 5 000 rader og i snitt 3 verdier per celle blir til 15 000 rader. Verktøyet håndterer dette uten problemer.","Forhåndsvisningen viser de første 100 radene i outputen slik at nettleseren forblir responsiv. Last ned hele CSV-en når du har bekreftet at splitten er riktig."]},{"TITLE":"Kompatibel med flere CSV-encodinger","PARAGRAPHS":["CSV-filer fra regneark og eldre eksporter er ikke alltid kodet på samme måte. Dette verktøyet støtter vanlige CSV-encodinger, inkludert UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil.","Det gjør verktøyet mer pålitelig når du trenger å splitte rader i CSV-filer som inneholder aksenter, spesialtegn eller eldre eksportformater som ofte feiler i enkle nettverktøy."]},{"TITLE":"Filen din forlater aldri nettleseren","PARAGRAPHS":["All parsing og splitting skjer lokalt i nettleseren din ved hjelp av en Web Worker. Ingen fil lastes opp til en server. Det er viktig når du jobber med kundedata, CRM-eksporter eller konfidensielle kontaktlister.","Dette verktøyet er gratis å bruke og krever ingen konto."]}],"USE_CASES_TITLE":"Når du bør bruke dette verktøyet","USE_CASES":[{"TITLE":"Del kommaseparerte verdier til rader","BODY":"Gjør `a,b,c` i én celle om til tre separate rader — det vanligste bruksområdet for CRM- og e-handelseksporter."},{"TITLE":"Normaliser CSV med flere emails per celle","BODY":"Utvid kontaktlister der én person har flere emails samlet i én kolonne, slik at hver email får sin egen rad."},{"TITLE":"Del en kolonne med flere verdier til rader","BODY":"Når én CSV-kolonne lagrer flere verdier i én celle, kan du utvide den til separate rader slik at filen blir enklere å importere, filtrere og analysere."},{"TITLE":"Explode tags og kategorier","BODY":"Produktkataloger, blogginnlegg og supporthenvendelser lagrer ofte flere tags i ett felt. Normaliser dem før analyse."},{"TITLE":"Unnest telefonnumre","BODY":"Når kontakter har flere telefonnumre i én celle, kan du splitte dem til individuelle rader for renere importer til dialers eller CRM-er."},{"TITLE":"Tidy data for deduplisering","BODY":"Én verdi per rad er standarden for tidy data. Etter splitting kan du bruke Datablist til å deduplisere, filtrere og berike resultatene."},{"TITLE":"Forbered data for import","BODY":"De fleste CRM- og markedsføringsplattformer forventer én verdi per rad. Splitting er ofte første steg før du importerer eller beriker dataene dine."}],"VOCABULARY":{"TITLE":"CSV explode, unnest, flatten eller unpivot","PARAGRAPHS":["Ulike verktøy beskriver denne transformasjonen på forskjellige måter. Du ser kanskje etter et CSV explode column-verktøy, en måte å unnest en CSV-kolonne på, en metode for å flatten en CSV-kolonne, eller en CSV unpivot workflow for kolonner med flere verdier.","I praksis er målet det samme: tidy data med flere verdier per celle, slik at én verdi blir én rad. Den strukturen er enklere å koble sammen, deduplisere, gruppere, berike og eksportere."]},"FAQ_TITLE":"Vanlige spørsmål","FAQ_ITEMS":[{"QUESTION":"Kan jeg bruke semikolon som skilletegn i cellen?","ANSWER":"Ja. Verktøyet støtter komma, semikolon, pipe, tab og egendefinerte skilletegn. Det prøver også å auto-detektere riktig skilletegn fra dataene dine når du velger en kolonne."},{"QUESTION":"Fungerer det med store CSV-filer?","ANSWER":"Ja. Splittingen gjøres inne i en Web Worker, så den blokkerer ikke nettleseren. Forhåndsvisningen er begrenset til 100 rader, men hele outputen kan lastes ned selv når filen din har titusenvis av rader."},{"QUESTION":"Blir dataene mine lastet opp til en server?","ANSWER":"Nei. Alt kjører lokalt i nettleseren din. CSV-en din blir aldri sendt til noen server. Det gjør verktøyet trygt for kundedata, interne eksporter og alt annet du ikke ønsker å laste opp."},{"QUESTION":"Hvilke CSV-encodinger støttes?","ANSWER":"Verktøyet er kompatibelt med vanlige CSV-encodinger, inkludert UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil. Det hjelper når CSV-en din kommer fra Excel, eldre programvare eller eksporter med aksenttegn."},{"QUESTION":"Hva skjer med celler som ikke inneholder skilletegnet?","ANSWER":"De beholdes som de er. Bare celler som faktisk inneholder skilletegnet utvides til flere rader. Tomme celler beholdes også som standard."},{"QUESTION":"Håndterer det siterte CSV-felt korrekt?","ANSWER":"Ja. Den underliggende CSV-parseren håndterer siterte felt riktig. En verdi som \"mia.chen@example.test,mia@workmail.test\" behandles som én enkelt verdi og splittes etter skilletegnet i cellen, ikke CSV-separatoren."}],"CTA_TITLE":"Trenger du å deduplisere eller berike dataene dine etter splitting?","CTA_DESC":"Når dataene dine er normalisert — én verdi per rad — gjør Datablist det enkelt å deduplisere kontakter, berike med eksterne data, filtrere etter hvilken som helst kolonne og eksportere en ren sluttfil.","CTA_LABEL":"Prøv Datablist gratis","OTHER_TOOLS_DESC":"Trenger du et annet dataverktøy etter å ha splittet CSV-en din? Disse verktøyene dekker nærliggende workflower for opprydding og konvertering."},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — Del CSV-filer etter rader, størrelse, verdier, regler eller datoer","PAGE_DESC":"Gratis online CSV Splitter for rotete eksportfiler fra virkeligheten. Oppdag kolonner automatisk, få forslag til smarte delingsalternativer, forhåndsvis output-filer og last ned CSV- eller ZIP-resultater direkte i nettleseren.","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"Gratis online CSV-splitter som kan dele etter rader, filstørrelse, grupperte verdier, regler og datointervaller. Kjører helt i nettleseren og laster ned eksport med flere filer som ZIP-arkiver.","TOOL":{"ANALYSIS_COLUMNS":"Kolonner","ANALYSIS_DELIMITER":"Skilletegn","ANALYSIS_ENCODING":"Tegnkoding","ANALYSIS_ROWS":"Rader","DOWNLOAD_ACTIVE_FILE":"Last ned aktiv fil","EMPTY_SOURCE_LABEL":"Last opp en CSV eller lim den inn nedenfor","ERROR_INVALID_ROWS_PER_FILE":"Antall rader per fil må være et heltall større enn 0.","ERROR_LOAD_FILE":"Kunne ikke laste denne CSV-filen.","ERROR_LOAD_PASTED_CSV":"Kunne ikke lese den innlimte CSV-en.","ERROR_MISSING_RULES":"Legg til minst én regel før du forhåndsviser denne splittingen.","ERROR_MISSING_SOURCE":"Lim inn en CSV før du fortsetter.","ERROR_MISSING_SOURCE_FOR_PREVIEW":"Last opp eller lim inn en CSV først.","ERROR_RULE_FILE_LABEL":"Hver regel må ha et navn på målfilen før du kan forhåndsvise denne splittingen.","FILE_HINT":"CSV-skilletegn, siterte linjeskift, dupliserte overskrifter og tegnkoding håndteres automatisk.","LOAD_FIRST_DESC":"Last opp en fil eller lim inn CSV, og velg deretter en splittmodus for å fortsette.","LOAD_FIRST_TITLE":"Last inn en CSV først","MODE_LOCKED_HINT":"Last opp eller lim inn en CSV for å låse opp disse splittmodusene.","MODE_OPTIONS":[{"DESCRIPTION":"Opprett filer med et fast antall rader. Dette er det tryggeste standardvalget for de fleste eksporter.","LABEL":"Del opp etter rader","MODE":"rows"},{"DESCRIPTION":"Hold hver fil under en omtrentlig opplastingsgrense når et annet verktøy avviser større CSV-filer.","LABEL":"Del opp etter filstørrelse","MODE":"size"},{"DESCRIPTION":"Opprett én fil per land, eier, status eller annen gjentakende kategori.","LABEL":"Del opp etter kolonneverdier","MODE":"column_value"},{"DESCRIPTION":"Send rader til filer basert på enkle betingelser som land, email-domene eller selskapsstørrelse.","LABEL":"Del opp etter regler","MODE":"conditional"},{"DESCRIPTION":"Grupper rader etter måned, år eller ISO-uke ved hjelp av en datokolonne.","LABEL":"Del opp etter datointervaller","MODE":"date_range"}],"PASTE_CARD_DESC":"Nyttig for raske tester eller når filen allerede ligger i utklippstavlen.","PASTE_CARD_TITLE":"Lim inn CSV","PASTE_DROP_HINT":"Lim inn eller slipp en fil","PASTED_LABEL":"Innlimt CSV","PREPARING_MODE_DESC":"Denne modusen trenger en dypere kolonneskanning før innstillingene kan vises.","PREPARING_MODE_TITLE":"Forbereder denne splittmodusen","PREVIEW_AFTER_BUILD_DESC":"Velg en splittmodus, juster innstillingene og forhåndsvis utdatafilene før du laster ned.","PREVIEW_AFTER_BUILD_TITLE":"Forhåndsvisning kommer etter at du har bygget splittingen","PREVIEW_PANEL_DESC":"Se gjennom antall filer, advarsler og forhåndsvisningen av hver utdata før nedlasting.","PREVIEW_PANEL_TITLE":"Forhåndsvis og last ned","PREVIEW_SPLIT_LABEL":"Forhåndsvis splitting","READY_TO_SPLIT":"Klar til å splitte","STATUS_ANALYSIS_READY":"Analyse klar","STATUS_ANALYZING":"Analyserer kolonner…","STATUS_BUILDING_PREVIEW":"Bygger forhåndsvisning av splitting…","STATUS_CHOOSE_MODE":"Velg en splittmodus","STATUS_LOADING_PREVIEW":"Laster forhåndsvisning av fil…","STATUS_PREPARING_DOWNLOAD":"Forbereder filnedlasting…","STATUS_PREPARING_ZIP":"Forbereder ZIP-arkiv…","STATUS_PREVIEW_READY":"Forhåndsvisning klar","STATUS_READY_TO_SPLIT":"Klar til å splitte","STATUS_SETTINGS_READY":"Juster innstillingene og forhåndsvis","STATUS_UNABLE_LOAD_CSV":"Kunne ikke laste CSV","STATUS_UNABLE_LOAD_FILE":"Kunne ikke laste fil","STATUS_WAITING":"Venter på en CSV-fil","STATUS_ZIP_READY":"ZIP klar","UPLOAD_CSV":"Last opp CSV","USE_CSV":"Bruk CSV","UI":{"NAME_EMAIL_COUNTRY_10_ALICE_ALICE_EXAMPLE":"navn,email,land\nAlice,alice@example.com,FR","ROWS_PER_FILE":"Rader per fil","MAX_SIZE_PER_FILE_BYTES":"Maks størrelse per fil (byte)","USE_250000_FOR_ROUGHLY_250_KB_1000000":"Bruk 250000 for omtrent 250 KB, 1000000 for omtrent 1 MB.","GOOD_WHEN_DOWNSTREAM_TOOLS_HAVE_UPLOAD_LIMITS":"Nyttig når etterfølgende verktøy har opplastingsgrenser","SIZE_BASED_CHUNKS_USE_EXACT_ROW_SIZES":"Størrelsesbaserte deler bruker nøyaktige radstørrelser, men svært varierende rader gir mindre forutsigbare resultater enn radbasert oppdeling.","SPLIT_BY_COLUMN_S":"Del etter kolonne(r)","USE_ONE_COLUMN_FOR_SIMPLE_SEGMENTATION_OR":"Bruk én kolonne for enkel segmentering, eller kombiner flere kolonner for mer detaljerte resultater.","LIMIT_OUTPUT_FILES":"Begrens antall resultatfiler","RULE_BUILDER":"Regelbygger","RULES_RUN_IN_ORDER_CHOOSE_FIRST_MATCH":"Reglene kjøres i rekkefølge. Velg modus for kun første treff, eller tillat at rader havner i flere filer.","ADD_RULE":"Legg til regel","RULE":"Regel","REMOVE":"Fjern","EQUALS":"er lik","DOES_NOT_EQUAL":"er ikke lik","CONTAINS":"inneholder","DOES_NOT_CONTAIN":"inneholder ikke","STARTS_WITH":"starter med","ENDS_WITH":"slutter med","GREATER_THAN":"større enn","GREATER_THAN_OR_EQUAL":"større enn eller lik","LESS_THAN":"mindre enn","LESS_THAN_OR_EQUAL":"mindre enn eller lik","IS_EMPTY":"er tom","IS_NOT_EMPTY":"er ikke tom","COMPARISON_VALUE":"Sammenligningsverdi","DESTINATION_FILE_NAME":"Navn på målfil","THIS_IS_THE_FILE_THAT_WILL_RECEIVE":"Dette er filen som mottar rader som samsvarer med denne regelen. Eksempel: enterprise, gmail eller north-america.","EXAMPLE_ENTERPRISE":"Eksempel: enterprise","CASE_SENSITIVE":"Skill mellom store og små bokstaver","DATE_COLUMN":"Datokolonne","GROUP_BY":"Grupper etter","MONTH":"Måned","YEAR":"År","ISO_WEEK":"ISO-uke","ADVANCED_SETTINGS":"Avanserte innstillinger","USE_THESE_ONLY_WHEN_THE_SIMPLE_SETUP":"Bruk disse bare når det enkle oppsettet ikke er tilstrekkelig. Her finner du kolonneutvalg og finjusteringsalternativer.","EXPORT_SETTINGS":"Eksportinnstillinger","FILENAME_PATTERN":"Filnavnmønster","USE_VARIABLES_LIKE_INDEX_AND_LABEL_EXAMPLE":"Bruk variabler som {index} og {label}. Eksempel: batch-{index}-{label}","STARTING_NUMBER":"Startnummer","THE_FIRST_FILE_INDEX_USED_WHEN_INDEX":"Den første filindeksen som brukes når {index} inngår i filnavnmønsteret.","COLUMNS_TO_KEEP_IN_THE_OUTPUT":"Kolonner som skal beholdes i resultatet","PROJECTION_HAPPENS_BEFORE_THE_SPLIT_IT_REDUCES":"Kolonneutvalget gjøres før oppdelingen. Det reduserer filstørrelsen og gjør de eksporterte filene ryddigere.","SELECT_ALL":"Velg alle","UNSELECT_ALL":"Opphev alle valg","ROW_SETTINGS":"Radinnstillinger","OVERLAP_ROWS":"Overlappende rader","USEFUL_WHEN_BATCH_TOOLS_NEED_CONTEXT_IN":"Nyttig når batchverktøy trenger kontekst i den neste filen.","SHUFFLE_ROWS":"Bland rader","USEFUL_FOR_EXPERIMENTS_AND_SAMPLING":"Nyttig for eksperimenter og utvalg.","KEEP_GROUPED_ROWS_TOGETHER":"Behold grupperte rader samlet","AVOID_BREAKING_THE_SAME_GROUP_ACROSS_FILES":"Unngå å dele den samme gruppen på tvers av filer.","GROUPING_COLUMN":"Grupperingskolonne","CHOOSE_A_COLUMN":"Velg en kolonne","COLUMN_VALUE_SETTINGS":"Innstillinger for kolonneverdier","RARE_VALUE_HANDLING":"Håndtering av sjeldne verdier","KEEP_EVERY_DISTINCT_VALUE":"Behold hver unike verdi","KEEP_TOP_N_VALUES_GROUP_THE_REST":"Behold de N vanligste verdiene, grupper resten","GROUP_BUCKETS_BELOW_A_ROW_THRESHOLD":"Grupper kategorier under en radgrense","TOP_N_VALUES_TO_KEEP":"Antall toppverdier som skal beholdes","MINIMUM_ROWS_PER_BUCKET":"Minste antall rader per kategori","OTHER_BUCKET_LABEL":"Etikett for kategorien «annet»","ALSO_SPLIT_LARGE_GROUPS_BY_FILE_SIZE":"Del også store grupper etter filstørrelse","USEFUL_WHEN_ONE_SEGMENT_IS_MUCH_BIGGER":"Nyttig når ett segment er mye større enn resten.","MAX_SIZE_PER_GROUPED_FILE_BYTES":"Maks størrelse per gruppert fil (byte)","RULE_SETTINGS":"Regelinnstillinger","FIRST_MATCH_ONLY":"Kun første treff","TURN_THIS_OFF_TO_DUPLICATE_A_ROW":"Slå av dette for å kopiere en rad til flere resultatfiler.","KEEP_UNMATCHED_ROWS_IN_A_SEPARATE_FILE":"Behold rader uten treff i en egen fil","TURN_THIS_ON_IF_YOU_WANT_ROWS":"Slå på dette hvis du vil at rader som ikke samsvarer med noen regel, skal legges i en egen eksport.","UNMATCHED_ROWS_FILE_NAME":"Filnavn for rader uten treff","THIS_NAME_IS_USED_FOR_THE_EXTRA":"Dette navnet brukes på den ekstra filen som samler rader som ikke samsvarer med noen av reglene dine.","DATE_SETTINGS":"Datoinnstillinger","DATE_FORMAT":"Datoformat","USE_A_FIXED_FORMAT_WHEN_THE_ANALYZER":"Bruk et fast format når analysatoren har gjettet feil.","AUTO_DETECT":"Oppdag automatisk","YYYY_MM_DD":"YYYY-MM-DD","DD_MM_YYYY":"DD/MM/YYYY","MM_DD_YYYY":"MM/DD/YYYY","DD_MM_YYYY_2":"DD-MM-YYYY","MM_DD_YYYY_2":"MM-DD-YYYY","INVALID_DATES":"Ugyldige datoer","SEND_TO_A_SEPARATE_FILE":"Send til en egen fil","SKIP_INVALID_ROWS":"Hopp over ugyldige rader","INVALID_DATE_FILE_LABEL":"Etikett for fil med ugyldige datoer","COLUMN_TYPE_OVERRIDES":"Overstyring av kolonnetyper","USE_THIS_WHEN_A_NUMBER_OR_DATE":"Bruk dette når en tall- eller datokolonne er registrert feil. Det påvirker regelsammenligninger og datobaserte oppdelinger.","DETECTED_AS":"Registrert som","TEXT":"Tekst","NUMBER":"Tall","DATE":"Dato","COMMA_THOUSANDS_SEPARATOR":"Komma som tusenskilletegn","DOT_THOUSANDS_SEPARATOR":"Punktum som tusenskilletegn","SPACE_THOUSANDS_SEPARATOR":"Mellomrom som tusenskilletegn","APOSTROPHE_THOUSANDS_SEPARATOR":"Apostrof som tusenskilletegn","NO_THOUSANDS_SEPARATOR":"Uten tusenskilletegn","ONLY":"Bare","ROWS_SHOWN_IN_PREVIEW":"rader vises i forhåndsvisningen","PREVIEW_LOADS_ON_DEMAND_FOR_THIS_FILE":"Forhåndsvisningen lastes inn ved behov for denne filen","LARGE_ROW_BASED_SPLITS_ONLY_PRELOAD_THE":"Ved store radbaserte oppdelinger forhåndslastes bare den første filen, slik at forhåndsvisningen forblir rask.","SUGGESTED_GROUPING_COLUMNS":"Foreslåtte grupperingskolonner","GROUPS":"grupper","LARGEST":"Størst:","SMALLEST":"Minst:","MEDIAN":"Median:","NO_STRONG_GROUPING_COLUMN_WAS_DETECTED_ROW":"Ingen tydelig grupperingskolonne ble funnet. Rad- eller størrelsesbasert oppdeling er de tryggeste standardvalgene for denne filen.","FILE_ANALYSIS":"Filanalyse","DUPLICATE_HEADERS":"Dupliserte kolonneoverskrifter:","EMPTY_COLUMNS":"Tomme kolonner:","LARGE_TEXT_COLUMNS":"Kolonner med mye tekst:","LEARN_MORE_ABOUT":"Les mer om {title}","SOMETHING_WENT_WRONG":"Noe gikk galt","TAB":"Tabulator","DOWNLOAD_ZIP":"Last ned ZIP","OUTPUT_FILES":"Resultatfiler","PROJECTED_COLUMNS":"Valgte resultatkolonner","LARGEST_FILE":"Største fil","ZIP_SIZE":"ZIP-størrelse","ROWS_COUNT":"{count} rader","OUTPUT_FILE_META":"{rows} rader · {size}","ROWS_SHOWN":"Bare {count} rader vises i forhåndsvisningen","GROUPS_COUNT":"{count} grupper","NONE":"ingen"}},"KEYWORDS":["csv splitter","split csv by column value","split csv by file size","split csv by date","split csv by rules","split large csv online","csv splitter zip download","csv split into multiple files","split csv by country","datablist tools"],"HERO_TITLE":"Del CSV-filer etter mening, ikke bare etter chunk-størrelse","HERO_DESC":"Mange CSV splitter-verktøy stopper ved «hver 1 000. rad». Eksportfiler fra virkeligheten er mer rotete. Noen ganger trenger du én fil per land, én fil per måned, én fil for enterprise-kontoer, eller en fallback-fil for radene som ikke matchet noe. Dette verktøyet er bygget for den virkeligheten.","INTRO_CARDS":[{"TITLE":"Smart analyse før deling","PARAGRAPHS":["Verktøyet oppdager automatisk encoding, skilletegn, dupliserte headers, tomme kolonner, tekstfelt med mye innhold og grupperingskolonner med lav kardinalitet. Det gjør det enklere å velge en praktisk deling i stedet for å gjette.","Du får også advarsler når en deling er risikabel: for mange output-filer, for mange bittesmå filer, eller én gigantisk gruppe som overskygger resten."]},{"TITLE":"Bygget for store CSV-eksporter fra virkeligheten","PARAGRAPHS":["Store filer forblir på klientsiden. Du forhåndsviser resultatet før nedlasting, beholder bare kolonnene du trenger, og eksporterer én fil eller mange filer i et ZIP-arkiv.","Dette fungerer godt for outreach-batcher, overleveringer per land, CRM-opprydding, compliance-gjennomganger og månedlige historiske utsnitt."]}],"GUIDE_TITLE":"Guide til innstillinger for de vanskelige delene","GUIDE_DESC":"Noen delingsinnstillinger er kraftige, men ikke åpenbare ved første øyekast. Hjelpeikonene i verktøyet hopper til de tilsvarende forklaringene nedenfor, slik at du kan forstå hva en innstilling faktisk endrer før du forhåndsviser delingen.","GUIDES":[{"ID":"csv-splitter-help-rows","EXTRA_IDS":["csv-splitter-help-overlap","csv-splitter-help-grouped-rows","csv-splitter-help-size"],"ICON":"rows","TITLE":"Rader, overlapp og chunker basert på størrelse","DESCRIPTION":"Dette er de raskeste delingsmodusene og vanligvis de tryggeste når du bare trenger mindre filer.","PARAGRAPHS":["Rader per fil gir hver output omtrent samme antall rader. Dette er best når nedstrømsverktøy bryr seg om batch-størrelse, ikke kategori eller mening.","Overlappende rader gjentar noen rader i overgangen mellom filer. Bruk det bare når neste batch trenger litt kontekst fra den forrige.","Hold grupperte rader samlet hindrer verktøyet i å dele samme konto, selskap eller ordre på flere filer. Det er viktig når rader som tilhører samme enhet bør holdes samlet.","Maks størrelse per fil er for opplastingsgrenser. Den prøver å holde seg under et mål i byte, men radlengder kan variere, så den siste filen eller noen filer kan fortsatt oppleves mindre jevne enn chunker basert på rader."]},{"ID":"csv-splitter-help-column-values","EXTRA_IDS":["csv-splitter-help-rare-values","csv-splitter-help-large-groups"],"ICON":"split","TITLE":"Grupperte output-filer og sjeldne verdier","DESCRIPTION":"Deling basert på verdier er best når én CSV per land, eier, status eller kilde gjør resultatet enklere å gjennomgå eller overlevere.","PARAGRAPHS":["Del etter kolonne(r) oppretter én output per unik verdi eller verdikombinasjon. Én kolonne gir enklere output-filer; to eller flere kolonner gir mer detaljerte filer.","Håndtering av sjeldne verdier hjelper når enkeltstående verdier ellers ville opprettet for mange små filer. Du kan beholde bare de største gruppene og slå sammen resten i en «annet»-gruppe.","Del også store grupper etter filstørrelse er nyttig når én kategori er mye større enn resten. Det beholder grupperingslogikken, men hindrer at én gigantisk fil dominerer eksporten."]},{"ID":"csv-splitter-help-rules","EXTRA_IDS":["csv-splitter-help-unmatched"],"ICON":"rules","TITLE":"Regler, første treff og rader uten treff","DESCRIPTION":"Regelbasert deling er nyttig når fildestinasjoner avhenger av forretningslogikk i stedet for én enkel grupperingskolonne.","PARAGRAPHS":["Bare første treff betyr at en rad stopper ved den første regelen den matcher. Slå det av bare når du bevisst vil at samme rad skal kopieres til flere output-filer.","Behold rader uten treff i en egen fil sørger for at rader som ikke oppfyller noen av reglene dine fortsatt blir bevart i sin egen eksport.","Filnavn for rader uten treff er ganske enkelt navnet på den oppsamlingsfilen. Det hjelper når du vil ha et tydelig output-navn som <code>needs-review.csv</code> eller <code>no-rule-match.csv</code>."]},{"ID":"csv-splitter-help-date-splits","EXTRA_IDS":["csv-splitter-help-date-format","csv-splitter-help-invalid-dates","csv-splitter-help-export-settings","csv-splitter-help-projection"],"ICON":"dates","TITLE":"Datoer, eksportinnstillinger og renere output-filer","DESCRIPTION":"Disse innstillingene er viktige når input er rotete, eller når navnene på de eksporterte filene må passe inn i en eksisterende workflow.","PARAGRAPHS":["Datoformat er der for tvetydige datokolonner. Hvis detektoren gjetter feil, kan du tvinge forventet format før gruppering per måned, år eller uke.","Ugyldige datoer lar deg bestemme om dårlige verdier skal hoppes over eller flyttes til en egen fil. Det er tryggere enn å miste rader i stillhet.","Filnavnmønster styrer de endelige output-navnene. Bruk variabler som <code>{index}</code> og <code>{label}</code> når batchene dine trenger forutsigbar nummerering.","Kolonner som skal beholdes i output fjerner unødvendige kolonner før delingen. Det holder eksportene lettere og renere, spesielt når den opprinnelige CSV-filen har hjelpekolonner du ikke vil ha videre nedstrøms."]}],"EDGE_TITLE":"Edge cases dette verktøyet håndterer","EDGE_DESC":"CSV-eksporter fra virkeligheten er sjelden rene. Dette verktøyet er bygget for å håndtere de irriterende tilfellene som vanligvis ødelegger enklere splittere.","EDGE_CASES":[{"ICON":"shield","TITLE":"Anførte celler, innebygde kommaer og linjeskift","DESCRIPTION":"Rader blir ikke delt bare fordi en celle i anførselstegn inneholder et komma eller et linjeskift.","BODY":"Parseren holder anførte CSV-verdier intakte, slik at adresser, notater eller lange tekstfelt ikke blir splittet til falske rader under delingen."},{"ICON":"files","TITLE":"Dupliserte headers, tomme kolonner og projisert output","DESCRIPTION":"Rotete headers og overdimensjonerte eksporter er vanlige i CRM-, finans- og support-eksporter.","BODY":"Dupliserte headers normaliseres slik at sammenligninger fortsatt fungerer. Tomme kolonner kan identifiseres, og projeksjon lar deg fjerne kolonner før du genererer output-filer."},{"ICON":"rows","TITLE":"Store filer og lazy preview","DESCRIPTION":"Forhåndsvisning skal hjelpe deg å bestemme, ikke hindre deg i å behandle store filer.","BODY":"For store radbaserte delinger kan verktøyet holde forhåndsvisningen lettvekts og bare forhåndslaste den første output-filen. Sekundære forhåndsvisninger og nedlastinger materialiseres ved behov."},{"ICON":"dates","TITLE":"Ugyldige datoer, regler uten treff og ujevne grupper","DESCRIPTION":"Splitteren holder rader i edge cases synlige i stedet for å forkaste dem i stillhet.","BODY":"Rader med ugyldige datoer kan legges i en egen fil, rader som ikke matcher noen regel kan beholdes i sin egen eksport, og grupperte delinger kan advare deg når ett segment er mye større enn resten."}],"EXAMPLES":{"COUNTRY":{"TITLE":"Del etter land eller status","DESCRIPTION":"Bruk deling etter grupperte verdier når du vil ha én CSV per land, eier, status, kilde eller et hvilket som helst felt med lav kardinalitet."},"RULES":{"TITLE":"Bygg output-filer basert på regler","DESCRIPTION":"Betingede regler lar deg definere praktiske destinasjoner som enterprise-kontoer, Gmail-adresser eller fallback-rader som ikke matcher noe."},"INPUT_LABEL":"Inndata","OUTPUT_LABEL":"Resultat"},"FAQ_ITEMS":[{"QUESTION":"Kan jeg dele en CSV etter kolonneverdi?","ANSWER":"Ja. Velg én eller flere kolonner, forhåndsvis antall grupper, sett eventuelt et tak på antall output-filer, og grupper sjeldne verdier i en «annet»-fil."},{"QUESTION":"Kan jeg dele en CSV etter filstørrelse?","ANSWER":"Ja. Angi et mål i byte per fil. Dette er nyttig når et annet verktøy har opplastingsgrenser. Forhåndsvisningen advarer når radlengdene varierer for mye til å gi pålitelige estimater."},{"QUESTION":"Kan jeg dele en CSV per måned eller år?","ANSWER":"Ja. Velg en datokolonne, velg måned, år eller ISO-uke, og bestem om ugyldige datoer skal gå til sin egen fil eller hoppes over."},{"QUESTION":"Oppretter verktøyet et ZIP-arkiv?","ANSWER":"Ja. Delinger med én output lastes ned som CSV. Delinger med flere filer lastes ned som ZIP, slik at store segmenterte eksporter forblir håndterbare."}],"FAQ_TITLE":"Ofte stilte spørsmål"},"ToolsDomainFinder":{"CONTENT":{"META_TITLE":"Gratis søk fra firmanavn til domene | Datablist","META_SOCIAL_TITLE":"Gratis søk fra firmanavn til domene","META_DESCRIPTION":"Lim inn opptil 10 firmanavn og finn nettstedene deres umiddelbart. Gratis, uten krav om betalingskort.","HERO":{"TITLE":"Finn domene fra firmanavn","DESCRIPTION":"Lim inn en liste med firmanavn og få nettstedene deres på få sekunder. Gratis, uten krav om betalingskort."},"PROOF":{"TITLE":"Basert på reelle data, ikke gjetninger","EYEBROW":"Dette inneholder databasen faktisk","BODY":"Det samme datasettet med selskaper som ligger bak Datablists betalte produkt for databerikelse, kryssjekket mot kjente mor- og datterselskapsforhold, slik at et treff ikke i det stille peker til feil merkevare.","STATS":[{"value":"85%+","label":"treffrate"},{"value":"3","label":"søkemetoder"},{"value":"32M","label":"selskaper"}]},"SOCIAL":{"TITLE":"Betrodd av oppstartsbedrifter og store selskaper","STATS":[{"value":"35,000+","label":"selskaper bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for leadgenerering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Lim inn listen din","body":"Kopier firmanavn fra en CRM-eksport, en kolonne i et regneark eller en uferdig leadliste, og lim dem inn i vårt gratis verktøy for å finne domener fra firmanavn. Vi skiller oppføringene ved linjeskift eller komma og fjerner automatisk identiske duplikater."},{"step":2,"title":"Vi sjekker databasen og deretter Google","body":"Hvert navn matches mot Datablists egen selskapsdatabase, det samme datasettet som ligger bak vårt betalte produkt for databerikelse. Hvis vi ikke finner et sikkert treff der, går vi videre til et direkte Google-søk. Vi velger ikke bare det første resultatet: Hver kandidat vurderes etter hvor godt den samsvarer med selskapet du søkte etter, slik at en katalogoppføring eller nyhetsartikkel om selskapet ikke returneres som selskapets nettsted."},{"step":3,"title":"Hvert resultat får en konfidensvurdering","body":"Ikke alle domenetreff er like sikre. Derfor får hver rad vurderingen Høy, Middels eller Lav basert på hvor godt navnet samsvarer, og hvordan domenet ble funnet. Rader med høy konfidens kan brukes med én gang. Resultater med middels eller lav konfidens bør sjekkes raskt før de legges til i en outreach-liste."}],"FLOW":["Selskapsdatabase","ingen sikre treff","direkte Google-søk","verifisert resultat"],"CTA":{"TITLE":"500 gratis søk, uten betalingskort","BODY":"En gratis konto fjerner grensen på 10 navn og gir deg 500 kreditter fra start.","LABEL":"Opprett en gratis konto"}},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Personalisering av kald outreach","body":"Finn nettstedet før du skriver emailen, slik at innledningen viser til noe reelt.","ctaLabel":"Guide til personalisering av kalde emails","ctaHref":"https://www.datablist.com/how-to/cold-email-personalization-tactics"},{"title":"Berikelse av leadlister","body":"Fyll inn manglende domener i en liste over potensielle kunder før den sendes til CRM-systemet eller sekvenseringsverktøyet.","ctaLabel":"Guide til berikelse av leadlister","ctaHref":"https://www.datablist.com/how-to/lead-list-building-guide"},{"title":"CRM-opprydding","body":"Knytt en foreldreløs selskapsoppføring til det riktige nettstedet.","ctaLabel":"Guide til CRM-rensing","ctaHref":"https://www.datablist.com/how-to/clean-enrich-refresh-data-crm"},{"title":"Undersøkelser av nisjeselskaper","body":"Finn nettsteder for mindre eller nyere selskaper som generelle søkemotorer og utdaterte databaser ikke fanger opp.","ctaLabel":"Guide til selskapsundersøkelser","ctaHref":"https://www.datablist.com/how-to/chatgpt-search-on-spreadsheet"}]},"COMPARISON":{"TITLE":"Datablist sammenlignet med andre domeneverktøy","HEADERS":["Verktøy","Månedlig kostnad","Kostnad per domene","Best egnet for"],"ROWS":[{"tool":"Datablist","cost":"$$25","perDomain":"$$0.005","bestFor":"Kostnadseffektiv bygging av leadlister og databerikelse i stor skala","favicon":"/free-tools/domain-finder/tool-favicons/datablist.png"},{"tool":"Company URL Finder","cost":"$$49","perDomain":"$$0.049","bestFor":"Team som allerede jobber i Google Sheets","favicon":"/free-tools/domain-finder/tool-favicons/company-url-finder.png"},{"tool":"CUFinder","cost":"$$49","perDomain":"$$0.049","bestFor":"Omfattende API-integrasjoner","favicon":"/free-tools/domain-finder/tool-favicons/cufinder.png"},{"tool":"Clay","cost":"$$185","perDomain":"$$0.0745","bestFor":"Komplekse workflows for databerikelse","favicon":"/free-tools/domain-finder/tool-favicons/clay.png"},{"tool":"Phantombuster","cost":"$$69","perDomain":"Variabel","bestFor":"Eksisterende Phantombuster-brukere","favicon":"/free-tools/domain-finder/tool-favicons/phantombuster.png"},{"tool":"Marcom Robot","cost":"$$59","perDomain":"$$0.059","bestFor":"Begrensede bruksområder","favicon":"/free-tools/domain-finder/tool-favicons/marcom-robot.png"},{"tool":"BuiltWith","cost":"$$295","perDomain":"Premium","bestFor":"Teknologibasert prospektering","favicon":"/free-tools/domain-finder/tool-favicons/builtwith.png"}],"NOTE":"Prisene er den rimeligste betalte månedsplanen for hvert verktøy, kontrollert mot leverandørens egen prisside i september 2026. Kostnaden per domene er beregnet ut fra antallet søk som er inkludert i planen.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"https://www.datablist.com/pricing"},{"n":2,"label":"Company URL Finder-abonnementer","href":"https://companyurlfinder.com/plans"},{"n":3,"label":"CUFinder-priser","href":"https://cufinder.io/pricing"},{"n":4,"label":"Clay-priser","href":"https://www.clay.com/pricing"},{"n":5,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":6,"label":"Marcom Robot-priser","href":"https://www.marcomrobot.com/data-enrichment/pricing"},{"n":7,"label":"BuiltWith-abonnementer","href":"https://builtwith.com/plans"}],"CTA":{"TITLE":"Slutt å betale per domene","BODY":"Datablist koster $0.005 per domene. Start gratis med 500 kreditter og uten betalingskort.","LABEL":"Opprett en gratis konto"}},"RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i bulk?","ENRICHMENT":{"label":"Domain Finder-berikelse","href":"https://www.datablist.com/enrichments/find-domain-for-company-name-bulk","blurb":"Kjør et helt regneark i stedet for ti navn om gangen, med den samme matchingen som først søker i databasen og deretter på Google."},"TOOLS":[{"label":"Sales Navigator Scraper","href":"https://www.datablist.com/tools/sales-navigator-scraper","blurb":"Hent leads fra en søke-URL uten å bruke LinkedIn-kontoen din."},{"label":"Gratis Email Finder","href":"https://www.datablist.com/tools/email-finder","blurb":"Finn jobbemails ut fra navn og selskap."},{"label":"Verktøy for rensing av firmanavn","href":"https://www.datablist.com/tools/company-name-cleaner","blurb":"Fjern juridiske selskapsendelser og korriger store og små bokstaver med AI-verktøyet."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"Hvor mange domener kan jeg søke etter gratis?","answer":"10 navn per kjøring, uten konto eller betalingskort. Kjør verktøyet på nytt når du trenger det, innenfor grenser for rimelig bruk som hindrer automatisert bruk i stor skala."},{"question":"Hva om jeg må behandle mer enn 10 om gangen?","answer":"Opprett en gratis konto, så forsvinner grensen på 10 navn. Du starter med 500 gratis kreditter og kan teste større grupper med én gang. For regelmessig bulkbruk gir Starter-abonnementets 5,000 månedlige kreditter deg dekning til $0.005 per domenetreff i databasen eller $0.0125 per Google-søk."},{"question":"Hva skjedde med Clearbits gratis Name to Domain API?","answer":"Den ble avviklet 30. april 2025. Dette verktøyet er en frittstående direkte erstatning, med en konfidensvurdering per rad som Clearbit aldri hadde."},{"question":"Kan jeg bruke dette verktøyet via et API?","answer":"Ja, Datablist tilbyr et API fra firmanavn til domene som lar deg finne et selskaps nettsted programmatisk. Du finner konfigurasjonstrinnene i implementeringsguiden for API-et på datablist.com/how-to/company-name-to-domain-api-enrichment."}]},"BREADCRUMB_CURRENT":"Domain Finder","SCHEMA_NAME":"Datablist – gratis søk fra firmanavn til domene","SCHEMA_DESCRIPTION":"Gratis nettverktøy for å finne domener fra firmanavn. Lim inn en liste med firmanavn og få nettstedene deres med en konfidensvurdering for hvert treff."},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Domain Finder","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than 10 company names?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and find company domains across your entire list. Review the matches, keep your original columns, and export the enriched results.","BULK_CTA":"Explore bulk Domain Finder","API_TITLE":"Find company domains from your code","API_DESCRIPTION":"Use the Company Name to Domain API to add domain lookups to your application or automated workflow. Send a company name and retrieve its domain programmatically.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"Listen din","DESCRIPTION":"Lim inn opptil 10 firmanavn og finn domenene deres på få sekunder.","PLACEHOLDERS":["Datablist","Celonis","Firmanavn"],"ROW_LABEL":"Firmanavn, rad {number}","REMOVE_ROW":"Fjern rad {number}","ADD_ROW":"Legg til en rad","ROW_LIMIT":"Du har nådd grensen på 10 rader for gratisverktøyet.","EMPTY":"Lim inn eller skriv inn et firmanavn for å komme i gang","READY_ONE":"1 navn er klart","READY_MANY":"{count} navn er klare","FIND_ONE":"Finn domene","FIND_MANY":"Finn domener","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Eksempelresultater · Disse ti eksemplene er kun ment som illustrasjon. Konfidensvurderingene er eksempler, ikke direkte resultater. Ingen kreditter ble brukt.","REJECTED_ONE":"1 oppføring så ikke ut som et firmanavn og ble hoppet over.","REJECTED_MANY":"{count} oppføringer så ikke ut som firmanavn og ble hoppet over.","OVERFLOW":"Du limte inn {count} navn – bare de første 10 ble kjørt gratis. Den gratis prøveperioden dekker opptil 500 søk (1 kreditt hver).","PROCESS_ALL":"Behandle alle {count}","NUMBER":"#","COMPANY_NAME":"Firmanavn","DOMAIN":"Domene","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Ingen treff funnet","COPY_ROW":"Kopier domenet for {name}","START_OVER":"Start på nytt","COPY_ALL":"Kopier alle","DOWNLOAD_CSV":"Last ned CSV","DOWNLOAD_FILENAME":"domains.csv","HIGH":"Høy","MEDIUM":"Middels","LOW":"Lav","VERY_LOW":"Svært lav","PRIVACY":"Navnene og resultatene dine er tilgjengelige i denne nettleseren i 24 timer. Datablist oppbevarer oppgavedata lenger for å fullføre og støtte søket.","UNAVAILABLE":"Dette søket er midlertidig utilgjengelig. Du kan fortsatt bruke Datablist-appen.","QUOTA_REACHED":"Du har brukt opp dagskvoten for dette gratisverktøyet. Kom tilbake om {hours} t {minutes} min, eller fortsett i Datablist.","QUOTA_RUN_TOO_LARGE":"Dette søket overskrider den gjenværende dagskvoten for dette gratisverktøyet. Prøv med færre navn, eller kom tilbake om {hours} t {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} kreditter igjen i dag","QUOTA_REDUCE":"{remaining} kreditter igjen i dag. Prøv med færre navn.","QUOTA_WAIT":"Dagskvoten er brukt opp. Kom tilbake om {hours} t {minutes} min.","CHALLENGE_REQUIRED":"Fullfør verifiseringen før du kjører søket.","RUN_FAILED":"Søket kunne ikke fullføres. Prøv igjen senere.","SUBMISSION_UNKNOWN":"Vi sjekker om søket ditt har startet. Last inn siden på nytt for å kontrollere statusen. Ikke send inn søket på nytt.","RETRY_STATUS":"Vi kunne ikke sjekke søket akkurat nå. Last inn siden på nytt for å prøve igjen.","EXPIRED":"Dette resultatet er ikke lenger tilgjengelig i denne nettleseren.","BANNER":"Registrer deg for en gratis konto og få 500 gratis søk fra firmanavn til domene, uten behov for betalingskort.","BANNER_CTA":"Få 500 gratis kreditter","RESULT_CTA":"Registrer deg for en prøveperiode og få 500 gratis søk fra firmanavn til domene!","RESULT_CTA_BUTTON":"Start gratis prøveperiode","CSV_NAME":"Navn","LOADING":"Laster inn","ERROR":"Feil","COMPLETE":"Fullført","HISTORY_TITLE":"Nylige søk","HISTORY_DESCRIPTION":"Åpne eller fjern et søk fra denne nettleseren mens resultatene er tilgjengelige, i opptil 24 timer. Hvis du fjerner det her, stoppes ikke søket, og kreditter tilbakeføres ikke.","HISTORY_REMOVE":"Fjern {name} fra denne nettleseren","HISTORY_COMPLETE":"Fullført","HISTORY_FAILED":"Krever oppfølging","HISTORY_ATTENTION":"Sjekker status","HISTORY_RUNNING":"Pågår","COPY_ERROR":"Kopieringen mislyktes. Prøv igjen eller last ned CSV-filen.","DEBUG_NOTICE":"Feilsøkingsresultater fra betafunksjonen. Dette er testdata, ikke et søk etter personen som ble sendt inn.","MORE_OPTIONS":"Flere alternativer","COUNTRY_LABEL":"Målland","COUNTRY_HELP":"Begrens selskapsdatasettet og Google-reservesøket til et bestemt land.","ALL_COUNTRIES":"Alle land","RUN_OPTIONS":"Kjøringsalternativer","OPTION_ON":"På","OPTION_OFF":"Av"}},"ToolsSalesNavigatorScraper":{"CONTENT":{"META_TITLE":"Gratis Sales Navigator-scraper | Datablist","META_SOCIAL_TITLE":"Gratis Sales Navigator-scraper","META_DESCRIPTION":"Lim inn en Sales Navigator-søke-URL og forhåndsvis leads gratis. Ingen LinkedIn-innlogging, informasjonskapsler eller økt-ID, så kontoen din er aldri utsatt.","SCHEMA_NAME":"Datablist gratis Sales Navigator-scraper","SCHEMA_DESCRIPTION":"Gratis nettbasert Sales Navigator-scraper. Lim inn en søke-URL og forhåndsvis leads uten å koble til en LinkedIn-konto – ingen informasjonskapsler eller økt-ID kreves.","BREADCRUMB_CURRENT":"Sales Navigator-scraper","HERO":{"TITLE":"Test markedets tryggeste Sales Navigator-scraper gratis!","DESCRIPTION":"Lim inn en søke-URL og forhåndsvis leads umiddelbart."},"SAFETY":{"TITLE":"Hvorfor dette ikke setter kontoen din i fare","ITEMS":[{"safe":true,"label":"Datablist","body":"Trenger bare én ting: søke-URL-en din. Ingen innloggingsopplysninger, informasjonskapsler, økt-ID eller utvidelse."},{"safe":false,"label":"Chrome-utvidelser","body":"Evaboot, Skrapp og lignende verktøy automatiserer klikk i den innloggede økten din. LinkedIns brukeravtale forbyr dette, og det er kontoen din som utsettes for risiko."},{"safe":false,"label":"Skyverktøy basert på informasjonskapsler","body":"Phantombuster og de fleste Apify-aktører ber deg lime inn øktinformasjonskapselen li_at. Det innebærer at du gir den innloggede økten din til en tredjepart."}]},"SOCIAL":{"TITLE":"Klarert av startups og store bedrifter","STATS":[{"value":"35,000+","label":"bedrifter bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for leadgenerering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Kjør søket ditt i Sales Navigator","body":"Filtrer etter stillingstittel, ansiennitet, sted, antall ansatte, bransje eller et annet Sales Navigator-filter til resultatlisten består av målgruppen du faktisk ønsker. Kopier deretter URL-en direkte fra adressefeltet."},{"step":2,"title":"Lim inn URL-en her","body":"Denne URL-en er alt vi trenger. Ingen innlogging, passord, nettleserutvidelse eller øktinformasjonskapsel kopiert fra utviklerverktøyene dine. Vi fjerner de kontospesifikke parameterne som Sales Navigator legger til, før URL-en sendes noe sted, fordi vi verken ønsker eller bruker dem."},{"step":3,"title":"Vi scraper fra vår egen infrastruktur","body":"Uthentingen kjører på Datablists servere, aldri gjennom LinkedIn-økten din. Dermed kan ingenting spores tilbake til kontoen din eller telle mot aktivitetsgrensene dine på LinkedIn. Du får tilbake en ryddig tabell som er klar til å berikes med emails eller sendes til CRM-et ditt."}],"CTA":{"TITLE":"Scrap et helt søk, ikke bare ti leads","BODY":"En gratiskonto starter med 500 kreditter og kobles aldri til LinkedIn-kontoen din.","LABEL":"Opprett en gratiskonto"}},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Bygg en liste med leads fra bunnen av","body":"Gjør et godt filtrert Sales Navigator-søk om til en ryddig liste uten duplikater som du faktisk kan jobbe med, i stedet for å bla gjennom resultatene manuelt.","ctaLabel":"Veiledning for å bygge lister med leads","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Finn emails til leads du scraper","body":"Et navn og en stillingstittel er ikke nok til å kontakte noen. Kjør den scrapede listen gjennom en waterfall email finder som sjekker over 20 leverandører før den gir opp en kontakt.","ctaLabel":"Finn emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Eksporter et helt søk samtidig","body":"Hvis du blar manuelt gjennom Sales Navigator-resultatene, begrenses du til noen få titalls leads. Det å eksportere hele søket i én omgang er det som gjør listen verdt å bygge.","ctaLabel":"Eksporter leads fra Sales Navigator","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"Scrap uten å risikere utestengelse","body":"Hvis du har utsatt scraping fordi du ikke vil miste nettverket ditt, er dette workflowen som fjerner all risiko for kontoen.","ctaLabel":"Veiledning for trygg scraping","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Sammenligning av Sales Navigator-scrapere","INTRO":"Alle de andre verktøyene nedenfor kjører scrapingen gjennom din egen LinkedIn-økt ved hjelp av en utvidelse eller en øktinformasjonskapsel du gir fra deg. Datablist er det eneste som aldri kobler seg til kontoen din.","HEADERS":["Verktøy","LinkedIn-kontoen din","Hva verktøyet trenger fra deg","Startpris","Kostnad per lead","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["Kobler seg aldri til den","En søke-URL","$$25/md.","$$0.05","Ja, over 20 leverandører"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["Utsatt for risiko","Utvidelse på kontoen din","$$39/md.","$$0.039","Ja"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["Utsatt for risiko","Utvidelse på kontoen din","$$9/md.","$$0.09","Ja"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["Utsatt for risiko","Øktinformasjonskapselen din","$$69/md.","Varierer","Ja"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["Utsatt for risiko","Øktinformasjonskapselen din","$$19/md.","Varierer","Nei"]}],"NOTE":"Prisene er den rimeligste månedsfakturerte betalingsplanen for hvert verktøy, kontrollert mot leverandørens egen prisside i september 2026. Kostnaden per lead er beregnet ut fra antallet leads som er inkludert i planen.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"/pricing"},{"n":2,"label":"Skrapp-priser","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evaboot-priser","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apify-priser","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Det eneste verktøyet som ikke berører kontoen din","BODY":"Start gratis med 500 kreditter. Ingen utvidelse, øktinformasjonskapsel eller betalingskort.","LABEL":"Opprett en gratiskonto"}},"RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i stor skala?","ENRICHMENT":{"label":"Sales Navigator-scraper","href":"/sources/linkedin-search-scraper","blurb":"Scrap et helt søk i stedet for en forhåndsvisning med ti leads, fortsatt uten å koble til LinkedIn-kontoen din."},"TOOLS":[{"label":"Gratis domenefinner","href":"/tools/domain-finder","blurb":"Finn nettsteder fra bedriftsnavn, med en konfidensvurdering."},{"label":"Gratis email finder","href":"/tools/email-finder","blurb":"Finn jobb-emails fra et navn og en bedrift."},{"label":"Verktøy for rydding av bedriftsnavn","href":"/tools/company-name-cleaner","blurb":"Fjern juridiske selskapsendelser og korriger store og små bokstaver med AI-verktøyet."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"Trenger jeg et Sales Navigator-abonnement?","answer":"Ja. De avanserte filtrene i Sales Navigator genererer søke-URL-en som dette verktøyet leser, så du trenger et aktivt abonnement for å opprette en. Du trenger ikke å gi oss tilgang til det."},{"question":"Hvorfor er dette trygt når andre scrapere ikke er det?","answer":"Alle de andre verktøyene i sammenligningen ovenfor kjører scrapingen gjennom din egen innloggede LinkedIn-økt, enten via en nettleserutvidelse eller en øktinformasjonskapsel du limer inn. LinkedIns brukeravtale forbyr dette, og det er kontoen din som rammes av håndhevingen. Datablist leser bare søke-URL-en og henter ut data via sin egen infrastruktur, så ingenting kan spores tilbake til deg."},{"question":"Hva koster en full scraping?","answer":"20 kreditter per lead når ingenting er koblet til LinkedIn-kontoen din, eller 10 hvis du velger å koble til din egen. Datablist starter på $25 per måned med månedlig fakturering og inkluderer 5,000 kreditter i måneden."},{"question":"Har Datablists Sales Navigator-scraper noen begrensninger?","answer":"Ja. Den kan ikke scrape søk som inkluderer kontotilknyttede filtre som «Følger bedriftssiden din», lagrede lister eller noe som er synkronisert fra CRM-et ditt, fordi disse ligger bak din personlige innlogging, som vi ikke kobler oss til."}]}},"TOOL":{"LABEL":"URL-en til Sales Navigator-søket ditt","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"Ingen LinkedIn-innlogging, informasjonskapsler eller økt-ID. Vi kobler oss aldri til kontoen din.","SUBMIT":"Scrap leads","BUSY":"Scraper","RESULTS":"Her er de første {count} leads fra søket ditt, helt gratis.","NAME":"Navn","JOB_TITLE":"Stillingstittel","COMPANY":"Bedrift","LOCATION":"Sted","COPY":"Kopier","COPIED":"Kopiert","DOWNLOAD":"Last ned CSV","NOTE":"Den gratis forhåndsvisningen viser {count} leads uten kontaktopplysninger. Emails og profil-URL-er hentes fra Datablists berikinger når du kjører en full scraping.","ERROR_EMPTY":"Lim inn en Sales Navigator-søke-URL for å starte.","ERROR_URL":"Dette ser ikke ut som en URL.","ERROR_HOST":"Denne lenken peker til {host}, ikke LinkedIn.","ERROR_PROFILE":"Dette er én enkelt LinkedIn-profil, ikke et søk.","ERROR_RECORD":"Dette er én enkelt Sales Navigator-oppføring, ikke et søk.","ERROR_SEARCH":"Dette er en LinkedIn-lenke, men ikke et Sales Navigator-søk.","ERROR_FAILURE":"Scrapingen ble ikke fullført. Prøv igjen om et øyeblikk.","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"Scrap hele listen","ERROR_HINTS":{"url":"Åpne søket ditt i Sales Navigator og kopier adressefeltet.","host":"Sales Navigator-URL-er starter med linkedin.com/sales/search/","profile":"Kjør først et søk i Sales Navigator, og kopier deretter denne URL-en.","record":"Gå tilbake til søkeresultatene og kopier URL-en derfra.","search":"Se etter linkedin.com/sales/search/people eller /sales/search/company"}}},"ToolsEmailFinder":{"CONTENT":{"META_TITLE":"Gratis email finder | Datablist","META_SOCIAL_TITLE":"Gratis email finder","META_DESCRIPTION":"Find a work email from a name and company or a LinkedIn profile. One found email free per day. Copy or download your result, with no signup required.","SCHEMA_NAME":"Datablist gratis email finder","SCHEMA_DESCRIPTION":"Free online waterfall email finder. Enter a name and company or a LinkedIn person profile to search for a work email address.","BREADCRUMB_CURRENT":"Email finder","HERO":{"TITLE":"Gratis email finder","DESCRIPTION":"Find one work email free each day. Give a name and company, or a LinkedIn profile.\nNo signup required."},"WATERFALL":{"TITLE":"Derfor er en waterfall bedre enn ett enkelt oppslag","ITEMS":[{"icon":"Layers","label":"A waterfall, not one provider","body":"Providers are tried one after another until one has the person. Some are databases, some derive the address from a known company pattern and verify it. A single-method finder gives you whatever that one method can reach, and nothing when it can't."},{"icon":"Search","label":"See the address and its status","body":"The result includes the email and its available deliverability status. An unverified address needs further checking before outreach."},{"icon":"ShieldCheck","label":"You only pay for hits","body":"On a paid plan the waterfall costs 25 credits per email found. Lookups that come back empty cost nothing, so a low-quality list does not quietly drain your balance."}]},"SOCIAL":{"TITLE":"Brukes av både oppstartsbedrifter og store selskaper","STATS":[{"value":"35,000+","label":"selskaper bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for lead-generering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Give us a name and a company","body":"First name, last name, and either the company name or its domain. A domain is more reliable, because it skips the step of working out which business the name refers to. If you only have a LinkedIn profile, select LinkedIn URL and paste that instead."},{"step":2,"title":"We run a waterfall, not a single lookup","body":"Datablist tries available work-email providers in sequence and stops when an address is found. The free tool uses the synchronous waterfall; larger lists and the full workflow are available in the Datablist app."},{"step":3,"title":"You see what was actually found","body":"Copy the address or download the result as CSV. If no email is found, the reserved credits return to your daily allowance once the task settles. Your results can be reopened in this browser for 24 hours."}],"CTA":{"TITLE":"Find emails for a full list","BODY":"En gratis konto starter med 500 credits og kan behandle en hel liste på én gang.","LABEL":"Opprett en gratis konto"}},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Bygg en lead-liste med personer du faktisk kan kontakte","body":"Et navn og et selskap er ikke nok til å kontakte noen. Når du gjør en innhentet eller eksportert liste om til en liste du kan sende til, blir den faktisk verdifull.","ctaLabel":"Finn emailer i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Fyll ut manglene i en liste du allerede har","body":"De fleste eksporter er bare delvis utfylt. Kjør bare radene som mangler en adresse, og betal ingenting for dem som ikke gir treff.","ctaLabel":"Opprett en lead-liste med emailer","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"Bruk dine egne leverandørnøkler","body":"Betaler du allerede for Hunter, Dropcontact eller lignende? Kjør waterfall-søket med dine egne nøkler, og hopp helt over Datablists creditsystem.","ctaLabel":"Tilpasset waterfall email finder","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"Tilpass innholdet før du sender","body":"En verifisert adresse er begynnelsen, ikke slutten. Det som avgjør om emailen fungerer, er om den første linjen virker skrevet for akkurat denne personen.","ctaLabel":"Personalisering av cold email","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"Hva 1,000 emailer som faktisk blir funnet, koster","INTRO":"Pris per credit skjuler det som betyr noe: hva du betaler for tusen adresser du faktisk kan sende til. Hunter er billigere per email fordi tjenesten søker i én indeks. En waterfall koster mer per oppslag og finner personer som én enkelt kilde ikke har. Blant waterfall-løsningene er Datablist billigst.","HEADERS":["Verktøy","Kostnad / 1,000 emailer","Hvordan de blir funnet","Ingen treff"],"BEST_LABEL":"Lavest av alle waterfall-løsninger","BEST_LABEL_MOBILE":"{cost} · lavest av alle waterfall-løsninger","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"Indeks fra én enkelt kilde","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"Waterfall med 20+ leverandører","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"Waterfall med 20+ leverandører","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"Waterfall med 20+ leverandører","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"Egenutviklet database","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150+ integrasjoner","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"Kun pristilbud","approach":"Egenutviklet database","misses":"Ikke publisert","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"Kun pristilbud","approach":"Egenutviklet database","misses":"Ikke publisert","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"Kostnad per 1,000 emailer som blir funnet, basert på Datablists egen publiserte sammenligning og prissiden til hver leverandør, kontrollert i september 2026. Alle oppførte verktøy tar bare betalt for adresser de finner, så tallene er sammenlignbare. Leverandører som bare tilbyr pristilbud, publiserer ikke priser.","SOURCES":[{"n":1,"label":"Datablists CPME-analyse","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablist-priser","href":"/pricing"},{"n":3,"label":"Hunter.io-priser","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContact-priser","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrich-priser","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apollo-priser","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clay-priser","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"Betal bare for emailene du faktisk får","BODY":"Start gratis med 500 credits. Oppslag uten treff koster ingenting.","LABEL":"Opprett en gratis konto"}},"RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i større skala?","ENRICHMENT":{"label":"Waterfall Email Finder","href":"/enrichments/email-finder","blurb":"Run a full list through the work-email waterfall, paying only for the addresses it finds."},"TOOLS":[{"label":"Gratis domenefinner","href":"/tools/domain-finder","blurb":"Gjør selskapsnavn om til nettsteder, med en konfidensvurdering."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Hent leads fra en søke-URL uten å bruke LinkedIn-kontoen din."},{"label":"Verktøy for rensing av selskapsnavn","href":"/tools/company-name-cleaner","blurb":"Fjern juridiske endelser og rett store og små bokstaver med AI-verktøyet."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"How many emails can I find for free?","answer":"The tool allows 25 credits per UTC day, enough for one found work email. Each search reserves 25 credits while it runs. A search that finds nothing costs no credits after settlement, so you can try again within the remaining allowance. Limits apply to both your browser session and IP address."},{"question":"What happens after my daily allowance is used?","answer":"New searches pause until midnight UTC. The form shows how long you need to wait. Existing results remain available for 24 hours, and you can continue with larger lists in the Datablist app."},{"question":"What does it cost in the Datablist app?","answer":"25 Datablist credits per email found when using the default waterfall. Lookups that come back empty cost nothing. A $20 credit pack is 20,000 credits, which is up to 800 found emails."},{"question":"How is this different from a normal email finder?","answer":"A waterfall tries multiple available providers rather than relying on a single lookup. The free tool returns the address and its deliverability status without exposing provider details. Custom provider keys and larger lists are available in the Datablist app."},{"question":"What do I need to provide?","answer":"Either a first name, last name and company, or a LinkedIn profile URL. A company domain beats a company name, because it removes the guesswork of matching the name to the right business first."},{"question":"Can I search from a LinkedIn profile instead?","answer":"Yes, select LinkedIn URL above the fields and paste the profile URL. It has to be a person's profile (linkedin.com/in/...), not a company page. This is useful when you know who someone is but not where they work."},{"question":"Do you find personal email addresses?","answer":"This tool finds work emails. Datablist has a separate Personal Email Finder enrichment for consumer addresses, which is a different product with different rules around it."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Email Finder","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"Finding emails for a full list?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and find work emails for your contacts. Use names and companies or LinkedIn profile URLs, review the email addresses and their statuses, and export the enriched list.","BULK_CTA":"Explore bulk Email Finder","API_TITLE":"Find work emails from your code","API_DESCRIPTION":"Use the Waterfall Email Finder API to add email lookups to your application or automated workflow. Send a person's name and company or LinkedIn profile URL, then retrieve the email address and its status.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"MODE_LABEL":"Hvordan vil du søke?","MODE_NAME":"Navn + selskap","MODE_LINKEDIN":"LinkedIn-URL","FIRST_NAME":"Fornavn","LAST_NAME":"Etternavn","COMPANY":"Selskap eller domene","LINKEDIN":"URL til LinkedIn-profil","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"Et domene fungerer bedre enn et selskapsnavn.","HINT_LINKEDIN":"Profilen til en person, ikke en selskapsside.","COPY":"Kopier","COPIED":"Kopiert","NOT_FOUND_HINT":"No email was returned. This search uses no credits after settlement. Try a company domain instead of its name, or continue in Datablist.","BANNER":"Opprett en gratis konto og få 500 credits, nok til 20 emailer som blir funnet. Du trenger ikke betalingskort.","BANNER_CTA":"Få 500 gratis credits","TITLE":"Find a work email","DESCRIPTION":"One contact per search","PLACEHOLDERS":[],"EMPTY":"Enter a name and company, or a LinkedIn profile","READY_ONE":"1 contact ready","READY_MANY":"{count} contacts ready","FIND_ONE":"Find email","FIND_MANY":"Find email","INVALID_CONTACT":"Complete the name and company fields, or use a valid linkedin.com/in/ profile URL. Sales Navigator links are not supported here.","SAMPLE_BUTTON":"See sample results","SAMPLE_NOTICE":"Illustrative sample results. The address and deliverability status are examples. This sample uses no credits.","PRIVACY":"Your inputs and results are available in this browser for 24 hours. Datablist keeps task data longer to complete and support the run.","UNAVAILABLE":"This free tool is temporarily unavailable. You can still use the Datablist app.","QUOTA_REACHED":"You've used your daily quota for this free tool. Come back in {hours} h {minutes} min, or continue in Datablist.","QUOTA_RUN_TOO_LARGE":"This search exceeds your remaining daily allowance. Come back in {hours} h {minutes} min.","QUOTA_REMAINING":"{remaining} of {limit} credits left today","QUOTA_REDUCE":"{remaining} credits left today. A search reserves 25 credits.","QUOTA_WAIT":"Daily quota used. Come back in {hours} h {minutes} min.","CHALLENGE_REQUIRED":"Complete the verification before starting the search.","RUN_FAILED":"The search could not finish. You can open any available results or try again later.","SUBMISSION_UNKNOWN":"We are checking whether your search started. Reload this page to check its status; please do not submit it again.","RETRY_STATUS":"We could not check the search right now. Reload this page to try again.","EXPIRED":"This result is no longer available in this browser.","NO_MATCH":"No work email found","VERIFIED":"Verified","UNVERIFIED":"Unverified — check before outreach","START_OVER":"Start over","COPY_ALL":"Copy email","COPY_ERROR":"Copy failed. Try again or download the CSV.","DOWNLOAD_CSV":"Download CSV","DOWNLOAD_FILENAME":"email-finder.csv","CSV_CONTACT":"Contact","CSV_EMAIL":"Email","STATUS":"Status","RESULT_CTA":"Find emails for a full list in Datablist.","RESULT_CTA_BUTTON":"Open Datablist","HISTORY_TITLE":"Your recent searches","HISTORY_DESCRIPTION":"Reopen or remove a search from this browser for up to 24 hours. Removing it does not stop execution or restore credits.","HISTORY_REMOVE":"Remove {name} from this browser","HISTORY_COMPLETE":"Complete","HISTORY_FAILED":"Needs attention","HISTORY_ATTENTION":"Checking status","HISTORY_RUNNING":"In progress","FOUND":"Work email found"}},"ToolsCompanyNameCleaner":{"CONTENT":{"META_TITLE":"Gratis verktøy for rensing av firmanavn | Datablist","META_SOCIAL_TITLE":"Gratis verktøy for rensing av firmanavn","META_DESCRIPTION":"Rens opptil 10 firmanavn per kjøring med AI. Standardiser store og små bokstaver samt juridiske selskapsformer, og kopier eller eksporter deretter resultatene. Ingen registrering; en daglig grense gjelder.","SCHEMA_NAME":"Datablist – gratis verktøy for rensing av firmanavn","SCHEMA_DESCRIPTION":"Rens opptil 10 firmanavn per kjøring med AI. Standardiser store og små bokstaver samt juridiske selskapsformer, og kopier eller eksporter deretter resultatene. Ingen registrering; en daglig grense gjelder.","BREADCRUMB_CURRENT":"Rensing av firmanavn","HERO":{"TITLE":"Standardiser uensartede firmanavn gratis","DESCRIPTION":"Lim inn en liste, korriger bruken av store og små bokstaver, og velg om juridiske endelser skal beholdes. 10 navn per kjøring, uten registrering."},"FORMULA":{"TITLE":"Hvorfor ikke bare bruke en regnearkformel?","QUOTE":"«Du ender opp med en enorm, nestet SUBSTITUTE-formel som slutter å virke hvis den møter en endelse den ikke gjenkjenner.» Det er fellen med egenlagde formler: De kjenner bare mønstrene du har tenkt på, og hvert nye format krever enda en endring i noe som allerede er vanskelig å lese. Et AI-basert renseverktøy leser i stedet navnet i sammenheng. Derfor håndterer det en endelse, en skrivemåte eller en bransjeforkortelse som ingen har skrevet en regel for.","HEADERS":["Før","Etter","Hva det viser"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"STORE BOKSTAVER korrigert, endelse fjernet"},{"raw":"müller & söhne gmbh & co. kg","note":"små bokstaver korrigert, sammensatt endelse prioriteres fremfor bare «GmbH»"},{"raw":"\"Tech Company, INC.\"","note":"omsluttende anførselstegn og endelse fjernet"},{"raw":"SAP","note":"akronym på tillatt-listen, beholdt nøyaktig som det er"},{"raw":"1234567 Ontario Inc.","note":"et format for nummererte selskaper; kontroller det rensede navnet før bruk"}],"NOTE":"Eksemplene er kun ment som illustrasjon. AI-verktøyet returnerer et renset firmanavn, men ingen konfidenspoeng eller forklaringer. Kontroller viktige navn før bruk.","REVIEW":"Kontroller"},"FIXES":{"TITLE":"Dette korrigeres","ITEMS":[{"icon":"Scissors","title":"Fjerning av juridiske endelser","body":"AI-verktøyet kan fjerne juridiske selskapsformer som Inc., LLC, Ltd., GmbH og SAS, samtidig som det gjenkjennelige firmanavnet beholdes."},{"icon":"CaseSensitive","title":"Korrigering av store og små bokstaver","body":"Verktøyet standardiserer inkonsekvent bruk av store og små bokstaver og kan bevare gjenkjennelige navn og forkortelser."},{"icon":"Eraser","title":"Mellomrom, anførselstegn og tegnsetting","body":"Fjerner doble mellomrom og omsluttende anførselstegn som følger med når du limer inn fra et regneark, og rydder opp i komma eller punktum som står igjen etter at en endelse er fjernet."},{"icon":"CopyCheck","title":"Sammenlign før og etter","body":"Sammenlign de opprinnelige og rensede navnene før du kopierer resultatene eller laster ned en CSV-fil."}]},"SOCIAL":{"TITLE":"Brukes av både oppstartsbedrifter og konserner","STATS":[{"value":"35,000+","label":"selskaper bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for leadgenerering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Lim inn listen din","body":"Ett firmanavn per linje, opptil 10 per kjøring. Fungerer med data rett fra en CRM-eksport, en scrapet liste med leads eller en regnearkkolonne – inkludert uensartet bruk av store og små bokstaver og juridiske endelser. Grensen finnes fordi hvert navn koster credits å behandle, ikke fordi verktøyet har problemer med flere navn."},{"step":2,"title":"Verktøyet standardiserer hvert navn","body":"AI-verktøyet returnerer et renset navn, slik at du kan sammenligne det med originalen. Det returnerer ikke konfidenspoeng eller forklaringer."},{"step":3,"title":"Kopier eller last ned resultatet","body":"Kopier de standardiserte navnene direkte til utklippstavlen, eller last ned hele sammenligningen som en CSV-fil med opprinnelig navn, renset navn og resultatstatus for hver rad."}],"CTA":{"TITLE":"Rens mer enn 10 om gangen","BODY":"En gratis konto starter med 500 credits, nok til 1,000 firmanavn.","LABEL":"Opprett en gratis konto"}},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Standardiser navn før de legges inn i CRM-systemet","body":"Fang opp inkonsekvent bruk av store og små bokstaver og juridiske endelser før du får duplikater som «Acme Inc» og «ACME Corporation» i samme pipeline.","ctaLabel":"Slik standardiserer du firmanavn","ctaHref":"/how-to/normalize-company-names"},{"title":"Fjern duplikater fra en eksisterende liste","body":"De fleste verktøy oppfatter to rader som bare skiller seg i store og små bokstaver eller en endelse, som ulike selskaper. Standardiser først, så blir duplikatene tydelige.","ctaLabel":"Slik fjerner du duplikater blant firmanavn","ctaHref":"/how-to/dedupe-company-names"},{"title":"Oppdater en utdatert CRM-eksport","body":"I en eksport fra et eldre system har inkonsekvent navngivning ofte hopet seg opp. Standardiser dataene når de importeres igjen, i stedet for å ta rotet med videre.","ctaLabel":"Rens, berik og oppdater CRM-data","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"Standardiser en liste før du sender email","body":"Felter med firmanavn brukes i personaliseringstokens. Et navn med løse anførselstegn eller STORE BOKSTAVER som roper, er en detalj mottakeren faktisk legger merke til.","ctaLabel":"Veiledning for rensing av email-lister","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"Standardiser listen din gratis","RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i stor skala?","ENRICHMENT":{"label":"Beriking med rensing av firmanavn","href":"/enrichments/company-name-cleaner","blurb":"Det samme renseverktøyet uten grensen på 10 navn, kjørt direkte på et datasett i Datablist. 0.5 credits per navn, og gjentatte rader bufres i stedet for å belastes to ganger."},"TOOLS":[{"label":"Gratis domenefinner","href":"/tools/domain-finder","blurb":"Fra firmanavn til nettsteder, med en konfidensvurdering."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Leads fra en søke-URL uten å bruke LinkedIn-kontoen din."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Jobb-emails basert på navn og selskap."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"Er dette gratisverktøyet AI-basert?","answer":"Ja. Det bruker Datablists AI-baserte verktøy for rensing av firmanavn, det samme som ligger bak den betalte berikingen. Verktøyet leser sammenheng og bransjesjargong i stedet for å søke i en fast liste over endelser. Grensen er 10 navn per kjøring fordi hvert navn koster 0.5 credits å behandle."},{"question":"Hvor mange navn kan jeg standardisere gratis?","answer":"Opptil 10 per kjøring, innenfor en daglig grense på 5 credits per nettleserøkt og IP-adresse. Hvert innsendte navn reserverer 0.5 credit. Ubrukte reserverte credits frigis når kjøringen er ferdig. Grensen tilbakestilles ved midnatt UTC."},{"question":"Returnerer verktøyet konfidenspoeng?","answer":"Nei. Det returnerer et renset firmanavn. Tabellen viser om det returnerte navnet avviker fra inndataene dine. Kontroller viktige eller tvetydige navn før bruk."},{"question":"Hvor sendes navnene jeg limer inn?","answer":"De sendes til Datablist for standardisering fordi renseverktøyet er en AI-modell som kjører på infrastrukturen vår, og ikke et skript i nettleseren din. Ingenting kjøres før du trykker på knappen, slik at du kan se nøyaktig hva som ble hentet fra utklippstavlen før noe sendes."},{"question":"Hva er forskjellen mellom dette og den betalte berikingen?","answer":"Samme renseverktøy, ulik skala. Denne siden behandler 10 navn om gangen uten konto. Berikingen kjører direkte på et datasett i Datablist uten grensen på 10 navn, til 0.5 credits per navn. Dermed slipper du å eksportere og lime inn på nytt, og gjentatte rader bufres i stedet for å belastes to ganger."},{"question":"Kan jeg standardisere navn jeg allerede har importert til Datablist?","answer":"Ja – den betalte berikingen kjører direkte på et datasett i Datablist, så du trenger ikke eksportere og lime inn på nytt. Dette gratisverktøyet er laget for en kort liste du har tilgjengelig akkurat nå."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Company Name Cleaner","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than 10 company names?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and clean company names across your entire list. Choose whether to keep legal forms, review the cleaned names and confidence levels, and export the results with your original columns.","BULK_CTA":"Explore bulk Company Name Cleaner","API_TITLE":"Clean company names from your code","API_DESCRIPTION":"Use the Company Name Cleaner API to standardize names in your application or automated workflow. Send company names, choose whether to keep legal forms, and retrieve the cleaned names with AI-estimated confidence levels.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"Listen din","DESCRIPTION":"Lim inn opptil 10 firmanavn for å korrigere store og små bokstaver og juridiske selskapsformer.","PLACEHOLDERS":["Acme Solutions LLC","MÜLLER & SÖHNE GMBH","Firmanavn"],"ROW_LABEL":"Firmanavn, rad {number}","REMOVE_ROW":"Fjern rad {number}","ADD_ROW":"Legg til en ny rad","ROW_LIMIT":"Opptil 10 firmanavn per kjøring.","EMPTY":"Lim inn eller skriv inn et firmanavn for å komme i gang","READY_ONE":"1 navn klart","READY_MANY":"{count} navn klare","FIND_ONE":"Rens navn","FIND_MANY":"Rens navn","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Eksempelresultater kun ment som illustrasjon. Konfidensvurderingene er eksempler, ikke sanntidspoeng. Denne forhåndsvisningen bruker ingen credits.","REJECTED_ONE":"Én inndata kunne ikke brukes. Kontroller formatet.","REJECTED_MANY":"{count} inndata kunne ikke brukes. Kontroller formatet.","OVERFLOW":"Du limte inn {count} navn. Opptil 10 kan kjøres samtidig.","PROCESS_ALL":"Rens alle {count} navn i Datablist","NUMBER":"#","COMPANY_NAME":"Firmanavn","DOMAIN":"Domene","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Ingen rensede navn ble returnert","COPY_ROW":"Kopier renset navn","START_OVER":"Start på nytt","COPY_ALL":"Kopier standardiserte navn","DOWNLOAD_CSV":"Last ned CSV","DOWNLOAD_FILENAME":"rensede-firmanavn.csv","HIGH":"Høy","MEDIUM":"Middels","LOW":"Lav","VERY_LOW":"Svært lav","PRIVACY":"Inndataene og resultatene dine er tilgjengelige i denne nettleseren i 24 timer. Datablist oppbevarer oppgavedata lenger for å fullføre og støtte kjøringen.","UNAVAILABLE":"Dette gratisverktøyet er midlertidig utilgjengelig. Du kan fortsatt bruke Datablist-appen.","QUOTA_REACHED":"Du har brukt opp dagens kvote for dette gratisverktøyet. Kom tilbake om {hours} t {minutes} min, eller fortsett i Datablist.","QUOTA_RUN_TOO_LARGE":"Dette oppslaget overstiger den gjenværende dagskvoten din for dette gratisverktøyet. Prøv med færre navn, eller kom tilbake om {hours} t {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} credits igjen i dag","QUOTA_REDUCE":"{remaining} credits igjen i dag. Prøv med færre navn.","QUOTA_WAIT":"Dagskvoten er brukt opp. Kom tilbake om {hours} t {minutes} min.","CHALLENGE_REQUIRED":"Fullfør verifiseringen før du kjører oppslaget.","RUN_FAILED":"Kjøringen kunne ikke fullføres. Du kan åpne eventuelle tilgjengelige resultater eller prøve igjen senere.","SUBMISSION_UNKNOWN":"Vi kontrollerer om oppslaget ditt startet. Last inn siden på nytt for å sjekke statusen. Ikke send det inn på nytt.","RETRY_STATUS":"Vi kunne ikke kontrollere oppslaget akkurat nå. Last inn siden på nytt for å prøve igjen.","EXPIRED":"Dette resultatet er ikke lenger tilgjengelig i denne nettleseren.","BANNER":"Opprett en gratis konto og få 500 credits, nok til å rense 1,000 firmanavn. Betalingskort er ikke nødvendig.","BANNER_CTA":"Få 500 gratis credits","RESULT_CTA":"Rens større lister i Datablist.","RESULT_CTA_BUTTON":"Åpne Datablist","CSV_NAME":"Navn","LOADING":"Laster inn","ERROR":"Feil","COMPLETE":"Fullført","HISTORY_TITLE":"Dine nylige oppslag","HISTORY_DESCRIPTION":"Åpne eller fjern et oppslag fra denne nettleseren mens resultatene er tilgjengelige, i opptil 24 timer. Hvis du fjerner det her, stoppes ikke oppslaget, og credits tilbakeføres ikke.","HISTORY_REMOVE":"Fjern {name} fra denne nettleseren","HISTORY_COMPLETE":"Fullført","HISTORY_FAILED":"Krever oppmerksomhet","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"Pågår","CLEAN_ONE":"Rens navn","CLEAN_MANY":"Rens navn","NORMALIZE_ALL":"Standardiser alle {count}","ORIGINAL":"Original","NORMALIZED":"Standardisert","WHAT_CHANGED":"Hva ble endret","REVIEW":"Kontroller","DUPLICATE_OF":"Duplikat av «{name}»","NO_CHANGE":"Ingen endring nødvendig","CHANGES":{"spaces":"Ekstra mellomrom slått sammen","quotes":"Anførselstegn fjernet","suffix":"Juridisk endelse fjernet","casing":"Store og små bokstaver korrigert"},"COPY":"Kopier standardiserte navn","COPIED":"Kopiert","DOWNLOAD":"Last ned CSV","REVIEW_CTA_ONE":"1 rad er merket Kontroller – verktøyet var ikke sikkert på resultatet. Datablists AI-baserte beriking leser sammenhengen, ikke bare en liste over endelser.","REVIEW_CTA_MANY":"{count} rader er merket Kontroller – verktøyet var ikke sikkert på resultatene. Datablists AI-baserte beriking leser sammenhengen, ikke bare en liste over endelser.","SEE_ENRICHMENT":"Se berikingen","DEBUG_NOTICE":"Feilsøkingsresultater fra betafunksjonen. Dette er testdata, ikke et oppslag på personen som ble sendt inn.","CHANGED":"Endret","UNCHANGED":"Uendret","COPY_ERROR":"Kopieringen mislyktes. Prøv igjen eller last ned CSV-filen.","MORE_OPTIONS":"Flere alternativer","KEEP_SUFFIX_LABEL":"Behold juridiske endelser","KEEP_SUFFIX_HELP":"Behold juridiske selskapsformer som Inc., LLC, Ltd. og GmbH i rensede navn.","RUN_OPTIONS":"Kjøringsalternativer","OPTION_ON":"På","OPTION_OFF":"Av","CONFIDENCE_HELP":"AI-estimert konfidens for at det rensede navnet bevarer selskapets identitet. Dette er ikke en ekstern verifisering."}},"ToolsInstagramFollowerScraper":{"CONTENT":{"META_TITLE":"Gratis Instagram follower scraper | Datablist","META_SOCIAL_TITLE":"Gratis Instagram follower scraper","META_DESCRIPTION":"Gratis nettbasert Instagram follower scraper. Hent følgere fra enhver offentlig Instagram-profil uten innlogging, cookies eller nettleserutvidelser.","SCHEMA_NAME":"Datablist gratis Instagram follower scraper","BREADCRUMB_CURRENT":"Instagram follower scraper","HERO":{"TITLE":"Gratis Instagram follower scraper","DESCRIPTION":"Skriv inn én Instagram-profil-URL eller ett brukernavn, og få opptil 100 følgere per kjøring. Ingen innlogging eller cookies kreves."},"SAFETY":{"TITLE":"Derfor utsetter dette ikke Instagram-kontoen din for risiko","ITEMS":[{"safe":true,"label":"Datablist","body":"Trenger bare URL-en eller brukernavnet til den offentlige profilen. Kobler aldri til din personlige Instagram-konto og krever ingen innloggingsopplysninger, cookies eller nettleserutvidelser."},{"safe":false,"label":"Chrome-utvidelser (IG Exporter osv.)","body":"Automatiserer scraping ved å kapre den aktive nettleserøkten din. Meta overvåker rask rulling og API-forespørsler i økten, noe som kan føre til umiddelbar blokkering av handlinger og suspendering av kontoen."},{"safe":false,"label":"Skybaserte scrapere som bruker cookies (PhantomBuster)","body":"Krever at du kopierer og limer inn den sensitive sessionid-cookien din fra utviklerverktøyene. Dette overlater den innloggede Instagram-identiteten din til eksterne servere og utsetter kontoen din for høy risiko."}]},"SOCIAL":{"TITLE":"Valgt av både oppstartsbedrifter og store selskaper","STATS":[{"value":"35,000+","label":"selskaper bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for lead-generering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Skriv inn en Instagram-profil eller et brukernavn","body":"Lim inn URL-en til en offentlig Instagram-profil (f.eks. instagram.com/nike), et brukernavn (@nike) eller en numerisk bruker-ID. Du kan også lime inn flere influencer-profiler samtidig når du bruker hele Datablist-applikasjonen."},{"step":2,"title":"Vi scraper trygt fra skyserverne våre","body":"Uthentingen kjøres utelukkende på Datablists dedikerte infrastruktur. Vi ber aldri om Instagram-passordet ditt, tofaktorkoden din eller økt-cookien din (sessionid), slik at den personlige kontoen din er 100 % trygg mot blokkeringer og utestengelser."},{"step":3,"title":"Eksporter og berik med emails og telefonnumre","body":"Last ned den ryddige følgertabellen som CSV eller Excel. I Datablist kan du kjøre de innhentede brukernavnene gjennom en sekvens av over 15 leverandører av email- og telefondata for å finne verifisert kontaktinformasjon til creator-kampanjene dine."}],"CTA":{"TITLE":"Scrape komplette følgerlister, ikke bare ti forhåndsvisningsrader","BODY":"En gratis Datablist-konto inkluderer 500 credits (opptil 50,000 følgere) uten krav om Instagram-innlogging.","LABEL":"Opprett en gratis konto"}},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Målgruppe- og konkurrentanalyse","body":"Finn ut nøyaktig hvem som følger konkurrerende merkevarer og ledende aktører i nisjen. Analyser felles interesser, verifiseringsgrad og målgruppedemografi for å spisse markedsposisjoneringen din.","ctaLabel":"Guide til bygging av lead-lister","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Influencer-markedsføring og søk etter creators","body":"Hent følgerlister fra ledende creators i bransjen, og filtrer etter verifiserte profiler eller offentlige kontaktetiketter for å bygge lister over samarbeidspartnere med høy konvertering.","ctaLabel":"Guide til scraping av influencere","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"Finn emails til Instagram-leads","body":"Et Instagram-brukernavn alene kan ikke kontaktes direkte via B2B outreach. Kjør følgerlisten gjennom Datablists waterfall email finder for å finne verifiserte jobb-emails.","ctaLabel":"Finn emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Scraping i stor skala uten utestengte kontoer","body":"Tradisjonelle verktøy tvinger deg til å ofre en Instagram-konto til algoritmer som motvirker scraping. Datablists serverbaserte motor fjerner kontorisikoen fullstendig.","ctaLabel":"Dokumentasjon for Instagram-følgere","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Sammenligning av Instagram follower scrapere","INTRO":"Alle konkurrentene automatiserer enten klikk i den aktive nettleseren din eller krever at du limer inn den sensitive økt-cookien din. Datablist er den eneste plattformen som utfører scraping på isolert skyinfrastruktur.","HEADERS":["Verktøy","IG-konto","Hva det krever","Pris","Kostnad/følger","Berikelse"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"Kobler aldri til den","needs":"Profil-URL eller @brukernavn","cost":"$$25/mnd. eller gratis prøveperiode","perFollower":"$$0.0001 (0.01 credits)","enrichment":"Waterfall for email og telefon","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"Utsatt for risiko","needs":"Økt-cookien din (sessionid)","cost":"$$69/mnd.","perFollower":"Tidsbasert (~$0.003)","enrichment":"Krever en separat Phantom","best":false},{"tool":"Apify","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/apify.svg","safety":"Risikabelt / teknisk","needs":"API-oppsett og actor-konfigurasjon","cost":"$$49/mnd.","perFollower":"Compute-enheter (varierer)","enrichment":"Nei (kun rådata)","best":false},{"tool":"Chrome-utvidelser","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/chrome.svg","safety":"Høy risiko (utestengt konto)","needs":"Utvidelse på kontoen din","cost":"$$15/mnd.","perFollower":"~$0.001","enrichment":"Nei","best":false}],"NOTE":"Prisene er det laveste nivået for hvert verktøy ved månedlig fakturering, verifisert i september 2026. Datablists følgerkostnad er beregnet til 0.01 credits per følger med abonnementet til $25/måned.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"https://www.datablist.com/pricing"},{"n":2,"label":"PhantomBuster-priser","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify-priser","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Den eneste scrapere som aldri ber om Instagram-innloggingen din","BODY":"Start gratis med 500 credits. Ingen utvidelse, ingen økt-cookie og ingen betalingskort kreves.","LABEL":"Opprett en gratis konto"}},"RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i stor skala?","ENRICHMENT":{"label":"Instagram Followers Scraper","href":"/sources/instagram-followers","blurb":"Scrape opptil 2,000,000 følgere fra flere profiler i bulk, filtrer etter creator og berik med verifiserte emails."},"TOOLS":[{"label":"Gratis LinkedIn-profil-scraper","href":"/tools/linkedin-profile-scraper","blurb":"Hent verifisert arbeidshistorikk, kompetanse og nåværende rolle fra enhver LinkedIn-profil."},{"label":"Gratis Sales Navigator-scraper","href":"/tools/sales-navigator-scraper","blurb":"Hent leads fra Sales Navigator-søk uten å koble til en LinkedIn-konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Waterfall-søk etter email på tvers av over 15 leverandører basert på navn og domene."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"Må jeg koble til Instagram-kontoen min eller oppgi innloggingsdetaljer?","answer":"Nei. Datablist ber aldri om Instagram-passordet ditt, tofaktorkoden din eller økt-cookien din (sessionid). All scraping kjøres på Datablists dedikerte skyservere. Det betyr at din personlige Instagram-profil eller bedriftsprofil aldri kobles til og derfor ikke kan flagges eller utestenges."},{"question":"Kan jeg scrape mer enn 100,000 følgere?","answer":"Ja. Datablist kan scrape mer enn 100,000 følgere og støtter datasett med opptil 2,000,000 poster per samling. Fordi uthentingen kjøres utelukkende på Datablists dedikerte skyinfrastruktur, behandles store følgerlister kontinuerlig uten nettleserkrasj på grunn av minne eller avbrudd som følge av rate limits."},{"question":"Er det lovlig å scrape Instagram-følgere?","answer":"Ja. Scraping av offentlig tilgjengelige data fra offentlige profiler er lovlig i de fleste større jurisdiksjoner. Datablist henter bare data som er synlige for alle besøkende som ikke er innlogget, og omgår ikke begrensninger for private profiler."},{"question":"Hvilke datapunkter hentes, og kan jeg finne email-adresser?","answer":"Dette gratisverktøyet returnerer bruker-ID, brukernavn, fullt navn, profil-URL, kontoens personvernstatus og verifiseringsstatus. Ukjente verdier for personvern eller verifisering forblir uspesifiserte. Etter uthentingen kan du kjøre brukernavnene gjennom Datablists Waterfall Email- og Phone Finders på tvers av over 15 dataleverandører for å finne verifisert kontaktinformasjon."},{"question":"Hva koster det å scrape Instagram-følgere i Datablist?","answer":"Scraping av følgere koster 0.01 credits per følger (100 følgere per credit). En gratis Datablist-konto inkluderer 500 gratis credits ved registrering (nok til 50,000 følgere). Betalte abonnementer starter på $25/måned for 5,000 credits (500,000 følgere), og credits utløper aldri."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Instagram Follower Scraper","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk scraping","API_LABEL":"API","BULK_TITLE":"More than 100 followers or multiple profiles?","BULK_DESCRIPTION":"Enter a list of Instagram profiles in Datablist and set a follower limit per profile. Import the followers into a collection, review the results, and export your list as CSV or Excel. No Instagram login required.","BULK_CTA":"Explore bulk follower scraping","API_TITLE":"Retrieve Instagram followers from your code","API_DESCRIPTION":"Use the Instagram Followers/Following Scraper API to collect followers or following users for one or more profiles. Send usernames or profile URLs, set a limit per profile, and retrieve the results as JSON for your application or automated workflow.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"Instagram-følgere","DESCRIPTION":"Instagram-profil-URL, brukernavn eller handle","PLACEHOLDERS":["https://www.instagram.com/nike/ eller @nike"],"ROW_LABEL":"Instagram-profil","REMOVE_ROW":"Fjern profil","ADD_ROW":"Legg til en profil","ROW_LIMIT":"Én profil og opptil 100 følgere per kjøring.","EMPTY":"Skriv inn en Instagram-profil for å komme i gang","READY_ONE":"1 profil er klar","READY_MANY":"{count} profiler er klare","FIND_ONE":"Scrape følgere","FIND_MANY":"Scrape følgere","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Illustrerende eksempel med fiktive følgere. Denne forhåndsvisningen kjøres i nettleseren din og bruker ingen credits.","REJECTED_ONE":"Denne profilen kunne ikke brukes. Kontroller formatet.","REJECTED_MANY":"{count} inndata kunne ikke brukes. Kontroller formatet.","OVERFLOW":"Du limte inn {count} profiler. Dette gratisverktøyet godtar én om gangen.","PROCESS_ALL":"Scrape alle de {count} profilene i Datablist","NO_MATCH":"Ingen følgere ble returnert for denne profilen.","COPY_ROW":"Kopier profil-URL for {name}","START_OVER":"Start på nytt","COPY_ALL":"Kopier CSV","DOWNLOAD_CSV":"Last ned CSV","COPY_ERROR":"Kopieringen mislyktes. Prøv igjen, eller last ned CSV-filen.","PRIVACY":"Inndataene og resultatene dine er tilgjengelige i denne nettleseren i 24 timer. Datablist beholder oppgavedataene lenger for å fullføre og støtte kjøringen.","UNAVAILABLE":"Dette gratisverktøyet er midlertidig utilgjengelig. Du kan fortsatt bruke Datablist-appen.","QUOTA_REACHED":"Du har brukt opp dagskvoten for dette gratisverktøyet. Kom tilbake om {hours} t {minutes} min, eller fortsett i Datablist.","QUOTA_RUN_TOO_LARGE":"Denne scrapingen overstiger den gjenværende dagskvoten din. Kom tilbake om {hours} t {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} credits igjen i dag","QUOTA_REDUCE":"{remaining} credits igjen i dag. Vent til dagskvoten din tilbakestilles.","QUOTA_WAIT":"Dagskvoten er brukt opp. Kom tilbake om {hours} t {minutes} min.","CHALLENGE_REQUIRED":"Fullfør verifiseringen før du scraper følgere.","RUN_FAILED":"Scrapingen kunne ikke fullføres. Eventuelle tilgjengelige følgere vises nedenfor.","SUBMISSION_UNKNOWN":"Vi sjekker om scrapingen startet. Last inn siden på nytt for å sjekke statusen. Ikke send den inn på nytt.","RETRY_STATUS":"Vi kunne ikke sjekke scrapingen akkurat nå. Last inn siden på nytt for å prøve igjen.","EXPIRED":"Disse resultatene er ikke lenger tilgjengelige i denne nettleseren.","BANNER":"Scrape større følgerlister og berik dem i Datablist. Start med 500 gratis credits, uten krav om betalingskort.","BANNER_CTA":"Få 500 gratis credits","RESULT_CTA":"Scrape større følgerlister i Datablist.","RESULT_CTA_BUTTON":"Åpne Datablist","HISTORY_TITLE":"Dine nylige scrapinger","HISTORY_DESCRIPTION":"Åpne eller fjern en scraping fra denne nettleseren i opptil 24 timer. Å fjerne den her stopper ikke scrapingen og tilbakefører ikke credits.","HISTORY_REMOVE":"Fjern {name} fra denne nettleseren","HISTORY_COMPLETE":"Fullført","HISTORY_FAILED":"Krever oppfølging","HISTORY_ATTENTION":"Sjekker status","HISTORY_RUNNING":"Pågår","DEBUG_NOTICE":"Feilsøkingsresultater fra beta-handlingen. Dette er testdata.","LABEL":"Instagram-profil-URL, brukernavn eller handle","PLACEHOLDER":"https://www.instagram.com/cristiano/ eller @nike","SCRAPE":"Scrape følgere","SCRAPING":"Scraper","SAFETY":"Ingen Instagram-innlogging, cookies eller passord kreves. Vi kobler aldri til kontoen din.","SAMPLES":"Eller prøv et eksempel:","ERRORS":{"EMPTY":{"REASON":"Skriv inn en Instagram-profil-URL, et brukernavn eller et handle."},"USERNAME":{"REASON":"Skriv inn et gyldig Instagram-brukernavn."},"TOO_LONG":{"REASON":"Instagram-brukernavn kan ikke være lengre enn 30 tegn."},"CHARACTERS":{"REASON":"Ugyldige tegn i brukernavnet.","HINT":"Instagram-brukernavn kan bare inneholde bokstaver, tall, punktum og understreker."},"RESERVED_HANDLE":{"REASON":"«{value}» er en Instagram-systemside, ikke en brukerprofil."},"BAD_URL":{"REASON":"Dette ser ikke ut som en gyldig URL eller et gyldig brukernavn.","HINT":"Skriv inn en lenke til en Instagram-profil (f.eks. https://www.instagram.com/cristiano/) eller et handle (@cristiano)."},"WRONG_SITE":{"REASON":"Dette er en lenke til {value}, ikke Instagram.","HINT":"Oppgi en lenke til en Instagram-profil (f.eks. instagram.com/username) eller et handle."},"HOMEPAGE":{"REASON":"Dette er Instagrams forside, ikke en bestemt profil.","HINT":"Lim inn en profil-URL med et brukernavn på slutten, for eksempel instagram.com/nike/."},"POST":{"REASON":"Dette er en lenke til et individuelt Instagram-innlegg eller en reel, ikke en profil.","HINT":"For å scrape følgere åpner du forfatterens profilside og kopierer denne URL-en i stedet."},"STORY":{"REASON":"Dette er en lenke til en Instagram Story.","HINT":"Stories er midlertidige og har ingen offentlig følgerliste. Lim inn profil-URL-en til creatoren."},"EXPLORE":{"REASON":"Dette er en Instagram-tag eller Explore-side, ikke en profil.","HINT":"Skriv inn profil-URL-en til en creator, merkevare eller influencer for å scrape følgerne deres."},"SYSTEM_PAGE":{"REASON":"Dette peker til en Instagram-systemside, ikke en brukerprofil."},"PROFILE_USERNAME":{"REASON":"Profilens brukernavn i denne URL-en er ikke gyldig.","HINT":"Kontroller at URL-en samsvarer med https://www.instagram.com/username/."}},"SCRAPE_ERROR":"Scrapingen ble ikke fullført. Prøv igjen om et øyeblikk.","RESULTS":"Her er de første {count} følgerne til @{handle}, gratis.","USER":"Bruker","USER_ID":"Bruker-ID","ACCOUNT_PRIVACY":"Personvern","PROFILE":"Profil","ID":"ID: {id}","VERIFIED":"Verifisert","PRIVATE":"Privat","PUBLIC":"Offentlig","VIEW":"Vis","COPIED":"Kopiert","COPY":"Kopier","DOWNLOAD":"Last ned CSV","SCRAPE_FULL":"Scrape hele listen","RESULT_NOTE":"Den gratis forhåndsvisningen viser {count} følgere uten kontaktdetaljer. Bruk Datablists verktøy for å scrape opptil 2,000,000 følgere i bulk og kjøre dem gjennom en sekvens av email- og phone finders:","SOURCE_LABEL":"Instagram Followers Scraper","CSV_HEADER":"Bruker-ID,Brukernavn,Fullt navn,Verifisert,Privat,Profil-URL,Følger av","YES":"Ja","NO":"Nei","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"Gratis LinkedIn-profilscraper | Datablist","META_SOCIAL_TITLE":"Gratis LinkedIn-profilscraper","META_DESCRIPTION":"Slå opp en persons LinkedIn-profil uten å koble til LinkedIn-kontoen din. Hent tilgjengelige data om identitet, jobbhistorikk og utdanning. Daglig kvote gjelder.","SCHEMA_NAME":"Datablist gratis LinkedIn-profilscraper","BREADCRUMB_CURRENT":"LinkedIn-profilscraper","HERO":{"TITLE":"Gratis LinkedIn-profilscraper","DESCRIPTION":"Lim inn URL-en til en personprofil på LinkedIn eller Sales Navigator for å hente tilgjengelige profil-, jobb- og utdanningsopplysninger. Ingen LinkedIn-innlogging eller øktinformasjonskapsel kreves."},"SAFETY":{"TITLE":"Ingen tilkobling til LinkedIn-kontoen din","ITEMS":[{"safe":true,"label":"Datablist","body":"Bare profil-URL-en er nødvendig. Behandlingen kjører på Datablists infrastruktur uten LinkedIn-innloggingen din, øktinformasjonskapsler eller en nettleserutvidelse."},{"safe":false,"label":"Chrome-utvidelser","body":"Evaboot, Skrapp og lignende nettleserverktøy automatiserer klikk og sidevisninger i den innloggede nettleserøkten din. LinkedIn oppdager og begrenser kontoer som bruker automatisering på klientsiden."},{"safe":false,"label":"Informasjonskapselbaserte skyverktøy","body":"Phantombuster og skybaserte aktører krever at du kopierer og limer inn den sensitive li_at-øktinformasjonskapselen din. Når du overlater den aktive økten din til delte tredjepartsservere, utsettes kontoen din for oppdagelse og utestengelse."}]},"SOCIAL":{"TITLE":"Brukes av både oppstartsbedrifter og store selskaper","STATS":[{"value":"35,000+","label":"selskaper bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for leadgenerering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Kopier en valgfri LinkedIn-profil-URL","body":"Gå til profilen du vil scrape på LinkedIn eller Sales Navigator, og kopier lenken fra adressefeltet i nettleseren. Både vanlige profil-URL-er (linkedin.com/in/...) og lead-URL-er fra Sales Navigator støttes."},{"step":2,"title":"Lim inn URL-en her","body":"Lim inn URL-en i feltet ovenfor. Vi fjerner automatisk sporingsparametere (som trk og lipi) før behandlingen. Innlogging, passord, Chrome-utvidelse eller øktinformasjonskapsel er aldri nødvendig."},{"step":3,"title":"Hent strukturerte profildetaljer","body":"Uthentingen kjører på Datablists dedikerte infrastruktur, helt adskilt fra den personlige LinkedIn-kontoen din. Du får rene, strukturerte data tilbake: navn, overskrift, sammendrag, firmografiske data om nåværende arbeidsgiver, tidligere jobbhistorikk og utdanning."}],"CTA":{"TITLE":"Scrape 20 profiler gratis samtidig","BODY":"En gratis Datablist-konto starter med 500 credits. Last opp CSV-filen din og berik hele lister på få minutter.","LABEL":"Opprett en gratis konto"}},"DATA":{"TITLE":"Hvilke data du får fra hver LinkedIn-profil","ITEMS":[{"icon":"UserCheck","title":"Identitet og sted","description":"Grunnleggende personopplysninger for nøyaktig identifisering av potensielle kunder og segmentering av målgrupper.","fields":["Fornavn","Etternavn","Fullt navn","Overskrift","Om / sammendrag","By, delstat og land","Landskode (ISO-2)"]},{"icon":"Database","title":"Nåværende rolle og firmografiske data","description":"Detaljerte arbeidsgiverdata for å vurdere ICP-samsvar og lage målrettede outbound-budskap.","fields":["Stillingstittel","Selskapsnavn","Selskapets LinkedIn-URL","Selskapets nettsted","Bransje","Intervall for antall ansatte","Startdato og varighet i rollen","Rollebeskrivelse"]},{"icon":"BriefcaseIcon","title":"Karriere og jobbhistorikk","description":"Tilgjengelige opplysninger om opptil to tidligere roller.","fields":["To tidligere stillingstitler","Navn på tidligere selskaper","Ansettelsestid og datoer","Rollebeskrivelser og resultater"]},{"icon":"Layers","title":"Utdanning og språk","description":"Tilgjengelige opplysninger om utdanning og språk.","fields":["Navn på universitet / skole","Oppnådd grad","Studieretning","Datoer for fullført utdanning","Talte språk"]}]},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Personalisering av kalde emails og meldinger","body":"Scrape jobbhistorikk, nylige karrierebytter og biografiske sammendrag for potensielle kunder, slik at du kan lage svært personlig kald outreach som treffer og konverterer.","ctaLabel":"Veiledning for bygging av leadlister","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Kandidatsøk og rekruttering","body":"Hent komplette kandidatprofiler, inkludert tilgjengelige opplysninger om tidligere arbeidsgivere og utdanning, direkte inn i en organisert talentdatabase.","ctaLabel":"Veiledning for scraping av LinkedIn-opplysninger","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"Finn verifiserte jobbemails","body":"Gjør scrapede navn og selskapsnettsteder om til verifiserte profesjonelle emailadresser med Datablists waterfall-beriking for email på tvers av 20+ leverandører.","ctaLabel":"Finn emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Oppdatering av CRM-kontakter og -kontoer","body":"Hold kontaktene dine i Salesforce eller HubSpot oppdatert. Oppdag automatisk jobbskifter, nye forfremmelser og oppdaterte firmografiske data uten manuell dataregistrering.","ctaLabel":"Veiledning for CRM-databeriking","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"Sammenligning av LinkedIn-profilscrapere","INTRO":"De fleste LinkedIn-scrapere automatiserer enten den aktive økten din eller fakturerer for uforutsigbar kjøretid. Datablist opererer uavhengig på sin egen skyinfrastruktur, med transparent pris per profil.","HEADERS":["Verktøy","LinkedIn-konto","Hva det krever","Pris","Kostnad / profil","CSV i bulk"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/linkedin-profile-scraper/datablist.png","values":["Kobler aldri til den","Bare offentlig profil-URL","$$25/mnd.","$$0.025","Ja, 100k+ rader"],"best":true},{"tool":"Phantombuster","favicon":"/free-tools/linkedin-profile-scraper/phantombuster.png","values":["I fare","Øktinformasjonskapsel (li_at)","$$69/mnd.","Fakturert per minutt","Begrenset"],"best":false},{"tool":"Apify","favicon":"/free-tools/linkedin-profile-scraper/apify.svg","values":["I fare","Actor-oppsett / proxy-nøkler","$$29/mnd.","Varierer","Via API/JSON"],"best":false},{"tool":"Clay","favicon":"/free-tools/linkedin-profile-scraper/clay.png","values":["Trygg (databaseoppslag)","Databaseoppslag (ikke live)","$$185/mnd.","$$0.05 - $0.10","Ja"],"best":false},{"tool":"Evaboot","favicon":"/free-tools/linkedin-profile-scraper/evaboot.png","values":["I fare","Utvidelse på kontoen din","$$9/mnd.","$$0.09","Bare Sales Nav"],"best":false}],"NOTE":"Prisene er hvert verktøys laveste nivå ved månedlig fakturering, kontrollert mot leverandørenes aktive prissider i september 2026. Datablists kostnad per profil er beregnet med 25 credits per profil på abonnementet til $25/måned.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"/pricing"},{"n":2,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify-priser","href":"https://apify.com/pricing"},{"n":4,"label":"Clay-priser","href":"https://clay.com/pricing"},{"n":5,"label":"Evaboot-priser","href":"https://evaboot.com/pricing"}],"CTA":{"TITLE":"Den eneste scrapere som aldri kobler seg til LinkedIn-kontoen din","BODY":"Start gratis med 500 credits. Ingen utvidelse, ingen øktinformasjonskapsel og ingen krav om kredittkort.","LABEL":"Opprett en gratis konto"}},"RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i bulk?","ENRICHMENT":{"label":"LinkedIn-profilscraper","href":"/enrichments/linkedin-profile-scraper-bulk","blurb":"Behandle større lister med LinkedIn-profiler fra en CSV-fil i Datablist, uten å koble til LinkedIn-kontoen din."},"TOOLS":[{"label":"Gratis Sales Navigator-scraper","href":"/tools/sales-navigator-scraper","blurb":"Hent leads fra Sales Navigator-søk uten å koble til kontoen din."},{"label":"Gratis email finder","href":"/tools/email-finder","blurb":"Finn verifiserte jobbemails fra en persons navn og selskapets domene."},{"label":"Gratis domenefinner","href":"/tools/domain-finder","blurb":"Konverter selskapsnavn til offisielle nettstedsdomener med konfidenspoeng."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"Kobler Datablist seg til LinkedIn-kontoen min eller bruker øktinformasjonskapsler?","answer":"Nei. Datablist kobler seg aldri til LinkedIn-kontoen din og ber aldri om passordet eller øktinformasjonskapslene dine (li_at). All scraping kjører utelukkende på vår dedikerte skyinfrastruktur med offentlige profildata, noe som fullstendig eliminerer risikoen for kontobegrensninger eller utestengelse."},{"question":"Kan jeg finne verifiserte jobbemails for de scrapede profilene?","answer":"Ja. I Datablist kan du sende scrapede navn og selskapsdomener gjennom vår Waterfall Email Finder på tvers av 20+ dataleverandører for å finne og verifisere emailadresser. Du betaler bare credits for bekreftede treff."},{"question":"Hvilke datapunkter hentes fra hver LinkedIn-profil?","answer":"Verktøyet returnerer tilgjengelige data om identitet, overskrift, sammendrag, sted, språk, forbindelser, nåværende jobb, opptil to tidligere roller og den første utdanningsoppføringen. Manglende felt forblir tomme. Ferdigheter, bilder og URN-er er ikke inkludert."},{"question":"Kan jeg scrape LinkedIn-profiler i bulk og bruke URL-er fra Sales Navigator?","answer":"Ja. Datablist godtar vanlige LinkedIn-profil-URL-er og lead-URL-er fra Sales Navigator. Du kan laste opp en CSV-fil med tusenvis av lenker for å scrape profiler i bulk, med en hastighet på omtrent 1,000 profiler på 3 minutter."},{"question":"Hvor mye koster det å scrape profiler i Datablist?","answer":"Scraping koster 25 credits per profil (20 credits for bufrede data). Hver gratiskonto inkluderer 500 gratis credits ved registrering (nok til 20 komplette profiler). Betalte abonnementer starter på $25/måned for 5,000 credits, og credits utløper aldri."},{"question":"Kan dette verktøyet returnere bufrede profildata?","answer":"Ja. Dette gratisverktøyet godtar bufrede profiler. Dataene kan være ufullstendige eller utdaterte. Det returnerer én nåværende rolle, opptil to tidligere roller og én utdanningsoppføring når disse er tilgjengelige. Det returnerer ikke ferdigheter, profilbilder eller LinkedIn-URN. Hver kjøring reserverer 25 credits fra den daglige kvoten din på 25 credits per økt og IP-adresse."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use LinkedIn Profile Scraper","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than one LinkedIn profile?","BULK_DESCRIPTION":"Import a CSV or Excel file of LinkedIn profile URLs into Datablist and retrieve available profile, employment, and education details in bulk. Review the results and export the enriched list.","BULK_CTA":"Explore bulk LinkedIn Profile Scraper","API_TITLE":"Retrieve LinkedIn profile data from your code","API_DESCRIPTION":"Use the LinkedIn Profile Scraper API to add profile lookups to your application or automated workflow. Send LinkedIn profile URLs and retrieve available profile, employment, and education details.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"Profilen din","DESCRIPTION":"Skriv inn én LinkedIn-profil-URL eller Sales Navigator lead-URL","PLACEHOLDERS":["https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"LinkedIn-profil-URL","REMOVE_ROW":"Fjern rad {number}","ADD_ROW":"Legg til en ny rad","ROW_LIMIT":"Én LinkedIn-profil per kjøring.","EMPTY":"Lim inn en LinkedIn-profil-URL for å komme i gang","READY_ONE":"Klar til å slå opp denne profilen","READY_MANY":"Klar til å slå opp denne profilen","FIND_ONE":"Scrape profil","FIND_MANY":"Scrape profil","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Illustrerende eksempelresultater. Denne forhåndsvisningen bruker ingen credits.","REJECTED_ONE":"Én inndata kunne ikke brukes. Kontroller formatet.","REJECTED_MANY":"{count} inndata kunne ikke brukes. Kontroller formatet.","OVERFLOW":"Én profil kan behandles om gangen.","PROCESS_ALL":"Behandle alle {count}","NUMBER":"#","COMPANY_NAME":"Selskapsnavn","DOMAIN":"Domene","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Ingen profildata funnet","COPY_ROW":"Kopier domenet for {name}","START_OVER":"Start på nytt","COPY_ALL":"Kopier CSV","DOWNLOAD_CSV":"Last ned CSV","DOWNLOAD_FILENAME":"linkedin-profile.csv","DOWNLOAD_JSON":"Last ned JSON","DOWNLOAD_JSON_FILENAME":"linkedin-profile.json","HIGH":"Høy","MEDIUM":"Middels","LOW":"Lav","VERY_LOW":"Svært lav","PRIVACY":"Inndataene og resultatene dine er tilgjengelige i denne nettleseren i 24 timer. Datablist beholder oppgavedata lenger for å fullføre og støtte kjøringen.","UNAVAILABLE":"Dette gratisverktøyet er midlertidig utilgjengelig. Du kan fortsatt bruke Datablist-appen.","QUOTA_REACHED":"Du har brukt opp dagskvoten for dette gratisverktøyet. Kom tilbake om {hours} t {minutes} min, eller fortsett i Datablist.","QUOTA_RUN_TOO_LARGE":"Dette oppslaget overskrider den gjenværende dagskvoten din for dette gratisverktøyet. Prøv færre navn, eller kom tilbake om {hours} t {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} credits igjen i dag","QUOTA_REDUCE":"{remaining} credits igjen i dag. Dette profiloppslaget krever 25 credits.","QUOTA_WAIT":"Dagskvoten er brukt opp. Kom tilbake om {hours} t {minutes} min.","CHALLENGE_REQUIRED":"Fullfør verifiseringen før du kjører oppslaget.","RUN_FAILED":"Kjøringen kunne ikke fullføres. Du kan åpne eventuelle tilgjengelige resultater eller prøve igjen senere.","SUBMISSION_UNKNOWN":"Vi kontrollerer om oppslaget ditt har startet. Last inn siden på nytt for å sjekke statusen. Ikke send det inn på nytt.","RETRY_STATUS":"Vi kunne ikke kontrollere oppslaget akkurat nå. Last inn siden på nytt for å prøve igjen.","EXPIRED":"Dette resultatet er ikke lenger tilgjengelig i denne nettleseren.","BANNER":"Trenger du flere profiler? Fortsett i Datablist.","BANNER_CTA":"Åpne Datablist","RESULT_CTA":"Berik en komplett liste med LinkedIn-profiler i Datablist.","RESULT_CTA_BUTTON":"Åpne Datablist","CSV_NAME":"Navn","LOADING":"Laster inn","ERROR":"Feil","COMPLETE":"Fullført","HISTORY_TITLE":"Dine nylige oppslag","HISTORY_DESCRIPTION":"Åpne eller fjern et oppslag fra denne nettleseren mens resultatene er tilgjengelige, i opptil 24 timer. Hvis du fjerner det her, stopper ikke oppslaget, og credits blir ikke tilbakeført.","HISTORY_REMOVE":"Fjern {name} fra denne nettleseren","HISTORY_COMPLETE":"Fullført","HISTORY_FAILED":"Krever oppmerksomhet","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"Pågår","LABEL":"LinkedIn-profil-URL eller Sales Navigator lead-URL","PLACEHOLDER":"https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/...","SCRAPE":"Scrape profil","SAFETY":"Ingen LinkedIn-innlogging, informasjonskapsler eller økt-ID. Vi kobler oss aldri til kontoen din.","SAMPLES":"Eller prøv et eksempel:","RESULTS":"Her er de uthentede opplysningene for {name}, gratis.","TABLE":"Datatabell","OVERVIEW":"Oversiktskort","PROPERTY":"Egenskap","VALUE":"Uthentet verdi","IDENTITY":"Identitet og sted","CURRENT":"Nåværende stilling og firmografiske data","HISTORY":"Jobbhistorikk ({count} stillinger)","EDUCATION_SKILLS":"Utdanning og språk","CONNECTIONS":"Forbindelser","LANGUAGES":"Språk","NAME":"Fullt navn","FIRST_LAST":"Fornavn og etternavn","HEADLINE":"Overskrift","SUMMARY":"Om / sammendrag","LOCATION":"Sted","LOCATION_VALUE":"{location} (Land: {country})","PROFILE_URL":"Profil-URL","URN":"LinkedIn-URN","JOB":"Nåværende stillingstittel","COMPANY":"Selskapsnavn","WEBSITE":"Selskapets nettsted","INDUSTRY_SIZE":"Bransje og størrelse","DATES":"Ansettelsestid / datoer","PREVIOUS_ROLE":"Tidligere rolle #{number}","ROLE_AT":"{title} hos {company}","EDUCATION":"Utdanning #{number}","SKILLS":"Viktigste ferdigheter","BIO":"Om / biografi","POSITION":"Nåværende stilling","PAST":"Tidligere erfaring","COPY_CSV":"Kopier CSV","COPIED_CSV":"CSV kopiert","COPY_JSON":"Kopier JSON","COPIED_JSON":"JSON kopiert","DOWNLOAD":"Last ned CSV","FULL_LIST":"Scrape hele listen","RESULT_NOTE":"Den gratis forhåndsvisningen henter komplette datapunkter fra én enkelt profil. For å scrape hundrevis eller tusenvis av profiler i bulk fra en CSV-fil uten risiko for kontoen, kan du bruke Datablists ","COPY_ERROR":"Kopieringen mislyktes. Prøv igjen, eller last ned CSV-filen.","CSV_HEADERS":["Fullt navn","Fornavn","Etternavn","Overskrift","Stillingstittel","Selskapsnavn","Selskapets nettsted","Selskapets LinkedIn-URL","Bransje","Intervall for antall ansatte","By","Delstat","Land","Landskode","Normalisert profil-URL","Sammendrag","Tidligere erfaring 1 – tittel","Tidligere erfaring 1 – selskap","Tidligere erfaring 1 – datoer","Tidligere erfaring 2 – tittel","Tidligere erfaring 2 – selskap","Tidligere erfaring 2 – datoer","Utdanningsinstitusjon","Utdanningsgrad","Språk"],"ERRORS":{"EMPTY":{"REASON":"Lim inn en LinkedIn-profil-URL.","HINT":"Eksempel: https://www.linkedin.com/in/satyanadella"},"INVALID_URL":{"REASON":"Dette ser ikke ut som en gyldig URL.","HINT":"Pass på å lime inn en fullstendig lenke som starter med linkedin.com"},"WRONG_SITE":{"REASON":"Dette er ikke en LinkedIn-URL.","HINT":"URL-en peker til «{value}». Lim inn en lenke til en LinkedIn-profil."},"COMPANY":{"REASON":"Dette er en selskaps- eller institusjonsside, ikke en personprofil.","HINT":"For å scrape personer må du lime inn URL-en til en personprofil, formatert som linkedin.com/in/username"},"SEARCH":{"REASON":"Dette er URL-en til søkeresultater, ikke en profil-URL.","HINT":"For å scrape søkeresultater kan du prøve vår gratis Sales Navigator-scraper. For dette verktøyet klikker du på en profil og limer inn den individuelle lenken."},"POST":{"REASON":"Dette er et LinkedIn-innlegg eller en artikkel, ikke en profil.","HINT":"Klikk på forfatterens navn for å se profilen, og kopier og lim deretter inn profil-URL-en."},"PATH":{"REASON":"Ukjent LinkedIn-profilbane.","HINT":"Lim inn en profillenke som samsvarer med linkedin.com/in/username, eller en Sales Navigator lead-URL."}},"VERIFIED_PROFILE":"Verifisert profil","SCRAPED_CLEAN":"Profildata","ENRICHMENT_LABEL":"LinkedIn-profilscraper","RESULT_NOTE_SUFFIX":" bulkberiking.","DEBUG_NOTICE":"Feilsøkingsresultater fra betahandlingen. Dette er testdata, ikke et oppslag av personen som ble sendt inn.","CHANGED":"Endret","UNCHANGED":"Uendret","CSV_HEADER_LINE":"Fullt navn|Fornavn|Etternavn|Overskrift|Stillingstittel|Selskapsnavn|Selskapets nettsted|Selskapets LinkedIn-URL|Bransje|Intervall for antall ansatte|By|Delstat|Land|Landskode|Normalisert profil-URL|Sammendrag|Tidligere erfaring 1 – tittel|Tidligere erfaring 1 – selskap|Tidligere erfaring 1 – datoer|Tidligere erfaring 2 – tittel|Tidligere erfaring 2 – selskap|Tidligere erfaring 2 – datoer|Utdanningsinstitusjon|Utdanningsgrad|Språk"}},"UseCaseAiScraping":{"PAGE_TITLE":"AI Web Scraping uten kode","PAGE_DESC":"Skrap tusenvis av nettsteder med en enkel prompt. Datablists AI Agent forstår behovene dine, navigerer på sider og henter ut strukturert data—uten kode.","USE_CASE":"Bruksområder","HERO_TITLE":"AI Web Scraping uten kode","HERO_DESC":"Skrap tusenvis av nettsteder med en enkel prompt. Datablists AI Agent forstår behovene dine, navigerer på sider og henter ut strukturert data—uten kode.","PROBLEM_TITLE":"Tradisjonell web scraping fungerer ikke","PROBLEM_BODY":"Web scrapers som baserer seg på CSS-selektorer er skjøre og krever kontinuerlig vedlikehold. En liten endring i et nettsteds layout kan ødelegge hele workflowen din. Datablists AI Agent løser dette ved å forstå innhold som et menneske, noe som gjør den robust mot oppdateringer på nettsteder.","PROMPT_TITLE":"Fra enkle prompts til strukturert data","PROMPT_CONTENT_1":"Glem kompliserte konfigurasjoner. Bare fortell AI Agent hva du trenger på enkelt engelsk. Vil du finne navnet på CEO fra en 'Om oss'-side? Be om det. Trenger du å hente ut produktpriser fra en kategoriside? Bare beskriv hva du ser etter.","PROMPT_CONTENT_2":"Agenten tolker instruksjonene dine, surfer på nettet og leverer ren, strukturert data rett inn i regnearket ditt.","SCALE_TITLE":"Bygget for skala, priset for alle","SCALE_CONTENT_1":"Enten du trenger å skrape ti nettsteder eller ti tusen, er vår AI Agent klar. Den håndterer tekniske detaljer som paginering og proxy-håndtering automatisk, slik at du kan fokusere på dataene, ikke prosessen.","SCALE_CONTENT_2":"Vårt kredittbaserte system er kostnadseffektivt, slik at du kan kjøre store scraping-oppgaver uten å sprenge budsjettet. Få dataene du trenger, når du trenger dem.","ROBUST_TITLE":"Tilpasser seg ethvert nettsted, enhver endring","ROBUST_CONTENT_1":"Det moderne nettet er dynamisk og i stadig endring. Vår AI Agent er bygget for robusthet. Fordi den forstår konteksten og meningen i dataene, er den ikke avhengig av en rigid nettsidestruktur.","ROBUST_CONTENT_2":"Det betyr mer pålitelig datauthenting og mindre tid brukt på å fikse ødelagte skrapere. La AI håndtere nettets kompleksitet for deg.","USECASES_TITLE":"Lås opp en verden av data med AI Scraping","USECASES_LEADGEN_TITLE":"Gi lead generation et kraftig løft","USECASES_LEADGEN_CONTENT_1":"Gå utover grunnleggende firmographics. Bruk AI Agent til å skrape bedriftsnettsteder for casestudier, brukte teknologier eller siste nytt.","USECASES_LEADGEN_CONTENT_2":"Disse rike, kontekstuelle dataene er perfekt drivstoff for høyt personaliserte og effektive outreach-kampanjer.","USECASES_MARKET_TITLE":"Automatiser markeds- og konkurrentanalyse","USECASES_MARKET_CONTENT_1":"Slutt å kaste bort timer på manuell research. Overvåk konkurrenters nettsteder automatisk for produktoppdateringer, prisendringer eller nye stillingsannonser.","USECASES_MARKET_CONTENT_2":"Samle kundeomtaler fra nettsteder som Trustpilot eller Trusted Shops for å analysere sentiment og identifisere markedstrender.","USECASES_ECOMMERCE_TITLE":"E-commerce og produktovervåking","USECASES_ECOMMERCE_CONTENT_1":"Skrap produktlister fra hvilket som helst e-commerce-nettsted uten anstrengelse. Hent ut navn, priser, SKU-er, beskrivelser og kundeomtaler.","USECASES_ECOMMERCE_CONTENT_2":"Hold øye med konkurrentenes lager, overvåk pristrategier, eller aggreger produktdata for din egen plattform.","BENEFITS_TITLE":"Kraftig scraping, gjort enkelt","BENEFITS_NOCODE_TITLE":"No-code-grensesnitt","BENEFITS_NOCODE_BODY":"Ingen programmeringskunnskaper nødvendig. Hvis du kan skrive en instruks, kan du skrape nettet. Vårt intuitive grensesnitt gjør datauthenting tilgjengelig for alle.","BENEFITS_FLEXIBLE_TITLE":"Fleksibel og konfigurerbar","BENEFITS_FLEXIBLE_BODY":"Skreddersy scraping-oppgavene til dine eksakte behov. Hent ut et enkelt datapunkt eller et helt datasett. AI Agenten tilpasser seg dine spesifikke krav.","BENEFITS_SCALABLE_TITLE":"Skalerbar og automatisert","BENEFITS_SCALABLE_BODY":"Fra små oppgaver til massive datainnsamlingsprosjekter skalerer vår AI Agent med deg. Planlegg tilbakevendende skrapinger for å holde dataene ferske og automatisk oppdatert.","BENEFITS_PRECISE_TITLE":"Presis og strukturert utdata","BENEFITS_PRECISE_BODY":"Få dataene du trenger i et rent, ryddig format. AI Agenten leverer strukturerte resultater direkte i et regneark, klare for analyse eller eksport.","SEE_ALSO":"Se også","VIDEO_TITLE":"Se AI Scraping i aksjon","VIDEO_TEXT":"Se hvordan du kan bygge en egendefinert lead scoring-modell på under ett minutt med en enkel prompt. Ingen formler, ingen stress."},"UseCaseDataCleaning":{"PAGE_TITLE":"Datavask, automatisert.","PAGE_DESC":"Datablist tilbyr en kraftig, brukervennlig verktøykasse for å fjerne duplikater, normalisere og berike dataene dine, og gjøre kaos til klarhet.","USE_CASE":"Bruksområder","HERO_TITLE":"Datavask, automatisert.","VIDEO_TITLE":"Det #1 No-Code-verktøyet for datavask","VIDEO_TEXT":"Ekstraher, konverter og rens data med bare noen få klikk. Ingen begrensninger og definitivt ingen flere formler.","HERO_DESC":"Slutt å kjempe med rotete regneark og rotete CRM-systemer. Datablist tilbyr en kraftig, brukervennlig verktøykasse for å fjerne duplikater, normalisere og berike dataene dine, og gjøre kaos til klarhet.","MASTER_TITLE":"Fra rotete data til handlingsrettede innsikter","MASTER_BODY":"Unøyaktige data koster tid og penger. Enten de stammer fra flere kilder til leads, skrapet webinnhold eller innspill fra ulike team, fører rotete data til mislykkede kampanjer og dårlige beslutninger. Datablist er ditt sentrale knutepunkt for å rydde, konsolidere og standardisere listene dine i stor skala, slik at dataene dine alltid er pålitelige og klare for handling.","DEDUPE_CRM_TITLE":"Fjern duplikater i CRM og lister – intelligent","DEDUPE_CRM_CONTENT_1":"CRM-et ditt er din sannhetskilde, men duplikater gjør det upålitelig. 'John Smith' og 'Jon Smith' hos 'Example Inc.' vs 'Example LLC' skaper forvirring. Datablist går lenger enn enkel matching.","DEDUPE_CRM_CONTENT_2":"Våre avanserte algoritmer (fuzzy, fonetisk og smart matching) finner og slår sammen lignende personer og selskaper, og konsoliderer informasjonen deres uten å miste kritiske data. Rydd opp i Pipedrive, HubSpot eller hvilken som helst CRM-eksport på få minutter.","MERGE_TITLE":"Konsolider data på tvers av flere filer","MERGE_CONTENT_1":"Du har leads i tre ulike regneark og kundedata i et annet. Hvordan kombinerer du dem uten å skape flere duplikater? Manuell sammenslåing av filer er treg og feilutsatt.","MERGE_CONTENT_2":"Datablist gjør det enkelt. Importer alle listene dine, definer en unik identifikator som en email eller et nettsted, og la verktøyene våre slå sammen postene. Vi kombinerer data fra flere kilder til én ren masterliste.","NORMALIZE_TITLE":"Standardiser og normaliser data med ett klikk","NORMALIZE_CONTENT_1":"Inkonsekvente data er ubrukelige data. Telefonnumre i ulike formater, stillingstitler med blandet bruk av store og små bokstaver og rotete URL-er hindrer effektiv filtrering og automatisering. Å rette dette manuelt, rad for rad, er en tidkrevende oppgave.","NORMALIZE_CONTENT_2":"Bruk Datablists verktøy for masseredigering til å rette datatyper, standardisere store/små bokstaver i tekst, fjerne ekstra mellomrom og normalisere telefonnumre og URL-er på tvers av tusenvis av poster umiddelbart. Definer en standard og bruk den på hele datasettet ditt.","CLEANING_GRID_TITLE":"Din komplette verktøykasse for datavask","CLEANING_GRID_DESC":"Alt du trenger for å gjøre rå, rotete data om til en verdifull, organisert ressurs.","GRID_DEDUPE_TITLE":"Avansert deduplisering","GRID_DEDUPE_BODY":"Finn og slå sammen lignende poster med smarte, fuzzy og fonetiske matching-algoritmer som enkle regneark ikke takler.","GRID_MERGE_TITLE":"Slå sammen og konsolider lister","GRID_MERGE_BODY":"Kombiner flere CSV- eller Excel-filer til én masterliste ved å bruke en unik nøkkel for å oppdatere og konsolidere poster.","GRID_FIX_TITLE":"Korriger datatyper","GRID_FIX_BODY":"Konverter enkelt tekstfelt til strukturerte data som datoer, tall eller avkrysningsbokser for nøyaktig sortering og filtrering.","GRID_AI_TITLE":"AI-drevet datavask","GRID_AI_BODY":"Bruk vårt AI-redigeringsverktøy til å generere tilpassede skript fra enkle tekst-prompts. Håndter komplekse datavaskoppgaver uten å skrive kode.","GRID_ENRICH_TITLE":"Berik og fyll mangler","GRID_ENRICH_BODY":"Fullfør postene dine ved å berike dem med manglende data. Finn bedriftsdomener, valider email-adresser og hent profilinformasjon.","GRID_CONSOLIDATE_TITLE":"Konsolider verdier","GRID_CONSOLIDATE_BODY":"Slå sammen motstridende data fra duplikater. Kombiner flere telefonnumre eller notater til én ren post uten å miste informasjon.","LEARN_MORE":"Les mer","SEE_ALSO":"Se også"},"UseCaseInventoryManagement":{"PAGE_TITLE":"Automatiser lagerstyring for e-handel","PAGE_DESC":"Slutt å sløse bort timer på manuelle oppdateringer. Hent, rens, oversett og synkroniser leverandørkataloger til alle salgskanaler automatisk med vår kraftige no-code-plattform.","USE_CASE":"Bruksområder","HERO_TITLE":"Automatiser lagerstyring for e-handel","HERO_DESC":"Slutt å sløse bort timer på manuelle oppdateringer. Hent, rens, oversett og synkroniser leverandørkataloger til alle salgskanaler automatisk med vår kraftige no-code-plattform.","INTRO_TITLE":"Fra rotete kataloger til perfekte produktlister","INTRO_BODY":"Å håndtere produktdata fra flere leverandører er et mareritt av ulike formater, dupliserte oppføringer og endeløse manuelle korrigeringer. Datablist gjør dette kaoset om til en strømlinjeformet, automatisert workflow, og sørger for at lageret ditt alltid er nøyaktig, oppdatert og perfekt formatert for enhver markedsplass.","VIDEO_TITLE":"Se AI-redigering i praksis","VIDEO_TEXT":"Se hvordan du oppdaterer enheter i katalogen med en enkel prompt. Ingen formler, ingen styr.","FETCH_TITLE":"Hent leverandørkataloger automatisk","FETCH_CONTENT_1":"Glem manuelle nedlastinger og rotete e-postvedlegg. Sett opp automatiske importer for å hente katalogfiler fra hvilken som helst kilde—enten det er en URL, en FTP-server eller et API. Planlegg oppdateringer daglig, ukentlig eller månedlig for å sikre at dataene dine alltid er oppdatert.","FETCH_CONTENT_2":"Våre smarte web scrapers kan til og med hente ut produktdata direkte fra leverandørenes nettsider, og gir deg en jevn strøm av oppdatert informasjon uten at du trenger å løfte en finger.","TRANSFORM_TITLE":"Transformer og standardiser data med AI","TRANSFORM_CONTENT_1":"Leverandørdata er sjelden klare for nettbutikken din. Bruk vår pakke med no-code-verktøy for datarensing til å standardisere kategorier, fjerne juridiske endelser fra merkenavn, formatere priser og slå sammen duplikater.","TRANSFORM_CONTENT_2":"Gå lenger med AI-drevne transformasjoner. Generer engasjerende produktbeskrivelser automatisk, oversett innhold for internasjonale markeder, og sørg for at hver oppføring er optimalisert for konvertering.","SYNC_TITLE":"Synkroniser til enhver e-handelsplattform eller markedsplass","SYNC_CONTENT_1":"Når dataene dine er rene og standardiserte, kan du sende dem dit du selger. Datablist forbereder sømløst katalogen din for enhver destinasjon, inkludert Shopify, WooCommerce, Amazon og mer.","SYNC_CONTENT_2":"Systemet vårt gir tydelige statusoppdateringer for hver synkronisering, med automatisk retry for mislykkede forsøk. Administrer hele din multikanalvirksomhet fra én pålitelig sannhetskilde.","BENEFITS_TITLE":"Kraften i en automatisert lager-workflow","BENEFITS_SCALE_TITLE":"Håndter enorme kataloger","BENEFITS_SCALE_BODY":"Håndter produktlister med hundretusener eller til og med millioner av produkter uten anstrengelse. Plattformen vår er bygget for ytelse og skalerbarhet.","BENEFITS_FLEXIBLE_TITLE":"Fleksibel og enkel å konfigurere","BENEFITS_FLEXIBLE_BODY":"Vårt intuitive no-code-grensesnitt lar deg bygge komplekse workflows for datatransformasjon på minutter, ikke uker. Ingen utviklere nødvendig.","BENEFITS_RELIABLE_TITLE":"Pålitelig og automatisert","BENEFITS_RELIABLE_BODY":"Sett opp workflows én gang og la dem kjøre. Med tydelig statussporing og synkroniseringer med automatisk retry kan du stole på at dataene dine alltid er der de skal være.","BENEFITS_COST_TITLE":"Kostnadseffektiv kraft","BENEFITS_COST_BODY":"Utnytt vårt kredittbaserte system slik at du bare betaler for det du bruker. Få automatisering på enterprise-nivå til en brøkdel av kostnaden sammenlignet med tradisjonelle løsninger.","TRANSLATE_TITLE":"Oversett produktkataloger for globale markeder","TRANSLATE_CONTENT_1":"Utvid e-handelsrekkevidden til internasjonale markeder ved å oversette produktkatalogene dine automatisk med Datablists AI. Gå lenger enn enkel oversettelse ved å lokalisere produktnavn slik at de samsvarer med hvordan lokale kunder faktisk søker.","TRANSLATE_CONTENT_2":"AI-en vår bevarer kritiske HTML- og JSON-strukturer i beskrivelser og spesifikasjoner, og forhindrer tekniske feil når du laster opp på nytt til plattformer som Shopify eller WooCommerce. Denne kraftige no-code-løsningen hjelper deg å skalere globalt til en brøkdel av kostnaden sammenlignet med tradisjonelle verktøy.","TRANSLATE_CTA":"Slik oversetter du en produktkatalog","FILTER_TITLE":"Gå i dybden på enhver katalog, uansett størrelse","FILTER_CONTENT_1":"Slutt å slite med regneark som krasjer under vekten av lageret ditt. Datablist er bygget for å håndtere enorme produktkataloger med opptil 1,5 millioner produkter, langt utover begrensningene til verktøy som Airtable eller Google Sheets.","FILTER_CONTENT_2":"Finn raskt akkurat det du trenger med kraftige filterverktøy. Gå lenger enn enkle søk ved å kombinere flere betingelser med AND/OR-logikk og filtergrupper for avanserte søk. For maksimal presisjon, bruk regulære uttrykk for å finne produkter basert på spesifikke mønstre i SKU-er, titler eller beskrivelser.","FILTER_CONTENT_3":"Ikke gjenta arbeidet ditt. Du kan lagre et hvilket som helst sett med komplekse filtre som et egendefinert \"Segment\" for rask tilgang senere. Disse lagrede filtrene er perfekte for å lage dynamiske lister som \"nye produkter\" eller \"kampanjevarer\", og deles automatisk med teamet ditt slik at alle jobber ut fra samme visning.","SEE_ALSO":"Se også"},"UseCaseLeadBuilding":{"PAGE_TITLE":"Lead-innsamling for vekstteam","PAGE_DESC":"Det beste verktøyet for å dykke ned i lead-lister med høyt volum. Organiser, berik og finn de perfekte prospektene.","HERO_TITLE":"Bygg lead-lister for vekstteam","USE_CASE":"Bruksområder","HERO_DESC":"Det beste verktøyet for å dykke ned i lead-lister med høyt volum. Organiser, berik og finn de perfekte prospektene.","MASTER_TITLE":"Håndter store mengder leads","MASTER_BODY":"Datablist er laget for å håndtere millioner av elementer. Definer datastrukturen for dine leads, og begynn å jobbe med dataene dine på en åpen og tech-vennlig plattform. Organiser leads med vårt regneark-lignende grensesnitt, eller bruk API-et vårt for å bygge komplekse dataplattformer. Fra lead-listen din med høyt volum kan du oppdage kvalitetsleads du kan kontakte.","CRM_TITLE":"Bygg lead-lister før de går inn i Sales CRM-en din","CRM_CONTENT_1":"CRM-verktøy er perfekte for å følge opp engasjerte prospekter. Men de egner seg ikke for hundretusener av leads. Vekstteamet ditt trenger et datalager oppstrøms for å samle og håndtere leads i høyt volum.","CRM_CONTENT_2":"Å lagre kalde leads i CRM-et er den beste måten å forurense det på – og få dyre fakturaer.","DATABASE_TITLE":"Slutt å lagre leads i en egendefinert database","DATABASE_CONTENT_1":"Lagrer du leads i en egendefinert database, Excel, Airtable eller et datalager? Å velge ett av dem betyr kompromisser. Fleksibilitet over skalerbarhet. Eller kompleksitet over enkelhet.","DATABASE_CONTENT_2":"Datablist kombinerer kraften i en egendefinert database med fleksibiliteten til Airtable. Spar tid og penger uten kompromisser.","NOCODE_TITLE":"Enkelt å bruke og tech-vennlig verktøy","NOCODE_CONTENT_1":"Håndter leads med et regneark-lignende grensesnitt. Kraftig filtrering og søk lar deg utforske hundretusener av leads på sekunder.","NOCODE_CONTENT_2":"Med Datablist har CSV-filer førsteklasses støtte. Importer store CSV-filer, og kombiner dem med unike identifikatorer for å bygge lead-lister. Dine data er dine data. Eksporter leads til en CSV-fil for bruk i andre verktøy med ett klikk.","NOCODE_CONTENT_3":"Vil du gå lenger? Automatiser dataflyten din med serverless-funksjoner koblet til vårt åpne API.","CENTRALIZE_TITLE":"Sentraliser alle lead-kildene dine i ett datalager","CENTRALIZE_SCRAPING_TITLE":"Din destinasjon for scraping","CENTRALIZE_SCRAPING_CONTENT_1":"Ekstraher data fra eksterne kilder og lagre dem i datalageret ditt.","CENTRALIZE_SCRAPING_CONTENT_2":"Scrape leads fra sosiale nettverk (LinkedIn, Facebook, Xing), bedriftskataloger (Crunchbase, AngelList), online communities, osv.","CENTRALIZE_NEWSLETTER_TITLE":"Nyhetsbrevabonnenter","CENTRALIZE_NEWSLETTER_CONTENT_1":"Spor og berik abonnentene på e-postlisten din for å finne prospekter med høy verdi.","CENTRALIZE_NEWSLETTER_CONTENT_2":"Bruk webhooks fra e-postlisten for å hente bruksdata og finne engasjerte leads.","CENTRALIZE_SIGNUP_TITLE":"Berik nye brukere","CENTRALIZE_SIGNUP_CONTENT_1":"Oppdag brukere med engangs- eller profesjonelle email-adresser. Berik nye brukere automatisk, finn LinkedIn-profilen deres og engasjer brukere med høyt potensial.","CENTRALIZE_SIGNUP_CONTENT_2":"Koble til produktbruksdata for å bygge en kundedataplattform (CDP).","CENTRALIZE_MAGNET_TITLE":"Lagre lead magnet-nedlastinger","CENTRALIZE_MAGNET_CONTENT_1":"Lagre alle nye leads fra whitepaper-nedlastinger, webinarer og fysiske arrangementer i én liste.","CENTRALIZE_MAGNET_CONTENT_2":"Berik manuelt eller med våre integrerte enrichment-API-er for å avdekke muligheter.","ENRICH_TITLE":"Rens og berik leadsene dine","ENRICH_COMPANIES_TITLE":"Berik selskaper og profiler","ENRICH_COMPANIES_BODY":"Få komplett profilinformasjon med integrerte enrichment-tjenester. Finn LinkedIn-kontoer fra email-adresser, eller email-adresser fra navnene til leadsene dine. Berik i stor skala fra hvilken som helst tjeneste, eller koble til dine egne.","CLEAN_TITLE":"Rens dataene dine","CLEAN_BODY":"Hold dataene dine oppdaterte med Datablists lese- og skrivbare datalager. Bruk våre Data Cleansing-funksjoner for å masse-rense leads. Valider email-adresser for å finne leverandører av engangs-email og utelukk dem fra kampanjene dine.","DEDUPLICATE_TITLE":"Fjern duplikater i leadsene dine","DEDUPLICATE_BODY":"Fjern dupliserte leads på et øyeblikk med Datablist Duplicates Finder. Velg én eller flere egenskaper for automatisk deduplisering. Slå sammen motstridende data med Datablist Merge Assistant.","MERGE_TITLE":"Lag unike lead-profiler","MERGE_BODY":"Definer unikhet på en leads email-adresse eller selskapets nettsted for å lage unike lead-profiler. Oppdater leaddata eller konsolider eksterne lister ved å bruke dine unike egenskaper.","SEE_ALSO":"Se også","DATA_SOURCES":"Data- og lead-kilder","DATA_SOURCES_DESCRIPTION":"Boost pipeline-en din med våre kraftige innebygde lead-kilder!","AI_RESEARCH_AGENT":"AI Research Agent","AI_RESEARCH_AGENT_DESCRIPTION":"Skaler research på elementene dine, eller sett opp automatiserte Google-søk, med én enkel prompt.","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESCRIPTION":"Lag kraftige workflows med våre brukervennlige enrichments"},"IndustryRecruiting":{"PAGE_TITLE":"Smartere rekruttering starter her","PAGE_DESC":"Den essensielle no-code-plattformen for rekrutteringsbyråer. Skrap stillingsannonser, berik selskapsdata og finn direkte kontaktinformasjon til ansettelsesansvarlige.","HERO_TITLE":"Smartere rekruttering starter her","INDUSTRY_LABEL":"Bransjer","HERO_DESC":"Den essensielle no-code-plattformen for rekrutteringsbyråer. Skrap stillingsannonser, berik selskapsdata og finn direkte kontaktinformasjon til ansettelsesansvarlige.","WHY_DATABLIST_TITLE":"Slutt å lete. Begynn å plassere kandidater.","WHY_DATABLIST_BODY":"Manuell sourcing er treg, repeterende og gir ujevne resultater. Datablist automatiserer de mest kjedelige delene av sourcing av nye kunder og kandidater, slik at du kan fokusere på det du er best på: bygge relasjoner og lande plasseringer.","FIND_JOBS_TITLE":"Avdekk alle rekrutteringsmuligheter","FIND_JOBS_CONTENT_1":"Gå aldri glipp av et lead. Bruk vår AI Scraper til å skrape stillingsannonser fra enhver jobbportal som LinkedIn, Indeed, eller fra en liste over karrieresider for målbedrifter.","FIND_JOBS_CONTENT_2":"Bygg enkelt en sanntidsdatabase over ledige stillinger som matcher dine nøkkelord og kompetanse, og få en jevn strøm av kvalifiserte kunde-leads.","FIND_CONTACTS_TITLE":"Finn de rette beslutningstakerne","FIND_CONTACTS_CONTENT_1":"En stillingsannonse er bare starten. Datablist beriker selskapsdata for å avdekke menneskene bak titlene. Identifiser avdelingsledere, teamledere og ansettelsesansvarlige i målbedriftene dine.","FIND_CONTACTS_CONTENT_2":"Segmenter listene dine etter stillingstittel, avdeling eller senioritet for å sikre at outreach alltid er rettet mot personen med beslutningsmyndighet.","GET_DETAILS_TITLE":"Ta kontakt direkte, med én gang","GET_DETAILS_CONTENT_1":"Slutt å kaste bort tid på å lete etter kontaktinformasjon. Vår kraftige Waterfall-beriking finner verifiserte, profesjonelle email-adresser og telefonnumre til målkontaktene dine.","GET_DETAILS_CONTENT_2":"Med høyere treffrate og en kostnadseffektiv, kredittbasert modell kan du bygge handlingsklare kontaktlister raskere og rimeligere enn noen gang før.","BENEFITS_TITLE":"En urettferdig fordel for byrået ditt","EASY_USE_TITLE":"Start på få minutter","EASY_USE_BODY":"Kom i gang umiddelbart med vårt intuitive, regnearklignende grensesnitt. Ingen tekniske ferdigheter kreves for å bygge kraftige sourcing-workflows.","FLEXIBLE_TITLE":"Din workflow, på din måte","FLEXIBLE_BODY":"Tilpass hvert steg, fra mål for scraping til berikingssekvenser. Datablist tilpasser seg din unike sourcing-strategi – ikke omvendt.","COST_EFFECTIVE_TITLE":"Betal etter forbruk","COST_EFFECTIVE_BODY":"Vårt kredittbaserte system betyr at du bare betaler for det du bruker. Perfekt for byråer i alle størrelser, fra solorekrutterere til store team.","ALL_IN_ONE_TITLE":"Alt på ett sted","ALL_IN_ONE_BODY":"Fra scraping og rensing til beriking og eksport. Administrer hele datapipelinen for kunder og kandidater uten å sjonglere flere verktøy.","SEE_ALSO":"Se også","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"Hent ut strukturert data fra hvilken som helst nettside med en enkel prompt. Perfekt for jobbportaler, bedriftssider og mer.","ENRICHMENTS":"Berikinger","ENRICHMENTS_DESCRIPTION":"Lag kraftige workflows med våre brukervennlige berikinger for selskaps- og kontaktdata.","FAQ_Q1":"Hvordan finner Datablist ledige stillinger?","FAQ_A1":"Vår Job Postings Scraper skanner over 19 store jobbportaler, inkludert Indeed og Glassdoor. Du kan også bruke vår AI Agent til automatisk å skrape spesifikke karrieresider hos selskaper eller enhver nisjejobbportal, noe som gir deg en jevn strøm av kundemuligheter.","FAQ_Q2":"Hvordan finner dere kontaktinformasjon til ansettelsesansvarlige?","FAQ_A2":"Når du har en liste over selskaper, finner Waterfall People Search-berikingen de riktige kontaktene i disse organisasjonene. Du kan søke etter stillingstittel, senioritet eller avdeling for å treffe beslutningstakere.","FAQ_Q3":"Er kontaktinformasjonen nøyaktig og verifisert?","FAQ_A3":"Ja. Waterfall Email Finder og Phone Finder forespør flere dataleverandører for å finne verifiserte profesjonelle email-adresser og direktenumre. Denne tilnærmingen med flere kilder gir høyere treffrate enn verktøy fra én enkelt leverandør.","FAQ_Q4":"Risikerer jeg LinkedIn-kontoen min ved å bruke skraperne deres?","FAQ_A4":"Nei. I motsetning til nettleserutvidelser kjører skraperne våre i skyen og krever ikke dine personlige LinkedIn-innloggingsdetaljer. Dette holder kontoen din 100 % trygg mot begrensninger eller utestengelser.","FAQ_Q5":"Hva koster det?","FAQ_A5":"Datablist bruker et fleksibelt, betal-etter-forbruk kredittsystem. Du betaler bare for dataene du får. For eksempel er et kredittpåfyll på 20 dollar nok til å skrape tusenvis av stillingsannonser. Denne modellen passer perfekt for byråer i alle størrelser og lar deg skalere sourcing uten en stor forhåndsinvestering.","FAQ_Q6":"Kan jeg målrette jobber i bestemte bransjer eller områder?","FAQ_A6":"Ja. Jobbskraperne våre har avanserte filtre som lar deg målrette stillingsannonser etter nøkkelord, bransje, selskapsstørrelse, sted og senioritetsnivå. Du kan til og med ekskludere rekrutteringsbyråer for å fokusere kun på direkte arbeidsgivere.","FAQ_Q7":"Jeg har rotete kandidatlister. Kan Datablist hjelpe med å rense dem?","FAQ_A7":"Absolutt. Datablist har kraftige verktøy for datarensing og deduplisering. Du kan enkelt slå sammen duplikatkontakter fra ulike kilder, standardisere stillingstitler og formatere dataene dine uten kompliserte formler.","FAQ_Q8":"Kan jeg automatisere sourcing-prosessen?","FAQ_A8":"Ja. Du kan planlegge jobbskraperne til å kjøre daglig, ukentlig eller månedlig. Datablist vil automatisk finne nye stillingsannonser som matcher kriteriene dine og gi deg en jevn kilde til friske leads."},"IndustryVentureCapital":{"PAGE_TITLE":"Operativsystemet for moderne VC-er","PAGE_DESC":"Finn, screene og spor tusenvis av startups med en AI-drevet dataplattform. Dropp rotete regneark og rigide CRM-er. Bygg din deal flow-motor med Datablist.","INDUSTRY_LABEL":"Bransjer","HERO_TITLE":"Operativsystemet for moderne VC-er","HERO_DESC":"Finn, screene og spor tusenvis av startups med en AI-drevet dataplattform. Dropp rotete regneark og rigide CRM-er. Bygg din deal flow-motor med Datablist.","WHY_DATABLIST_TITLE":"CRM-en din er ikke bygget for venturekapital","WHY_DATABLIST_BODY":"CRM-er er for salgspipelines, ikke deal flow. De er rigide, dyre og svikter når du skal spore tusenvis av selskaper i tidlig fase på radaren din. Datablist er en fleksibel, skalerbar datahub designet for å håndtere de unike datautfordringene i venturekapital.","SOURCE_DEALS_TITLE":"Finn deals før de blir allment kjent","SOURCE_DEALS_CONTENT_1":"Gå utover nettverket ditt og innkommende forespørsler. Bruk vår AI Scraper for å hente ut lovende startups fra plattformer som ProductHunt, IndieHackers og andre nisjekataloger.","SOURCE_DEALS_CONTENT_2":"Få et forsprang ved å identifisere selskaper med høyt potensial først og spore fremvoksende trender før de når mainstream.","TRACK_COMPANIES_TITLE":"Spor vekstsignaler, ikke bare finansieringsrunder","TRACK_COMPANIES_CONTENT_1":"Finansiering er en etterslepende indikator på suksess. Spor vekstsignaler i sanntid som faktisk betyr noe. Våre skrapere for stillingsportaler identifiserer hvilke startups som ansetter til nøkkelroller—et tydelig tegn på product-market fit og skalering.","TRACK_COMPANIES_CONTENT_2":"Overvåk ansettelsestrender for å vurdere et selskaps utvikling og ta datadrevne investeringsbeslutninger.","SCORE_STARTUPS_TITLE":"Bygg egendefinerte scoringsmodeller med AI","SCORE_STARTUPS_CONTENT_1":"Slutt å stole kun på magefølelsen. Bruk våre AI-redigeringsverktøy til å bygge kraftige, egendefinerte scoringsalgoritmer. Ranger startups basert på teamerfaring, tech stack, markedssignaler og dine egne unike kriterier.","SCORE_STARTUPS_CONTENT_2":"Identifiser systematisk og fokuser teamets energi på den øverste 1 % av mulighetene i pipeline-en din.","DILIGENCE_TITLE":"Alle verktøyene du trenger for due diligence og sporing","FEATURE_DATA_TITLE":"Datakonsolidering","FEATURE_DATA_BODY":"Rens, dedupliser og slå sammen data fra flere kilder til én masterliste. Hold startup-databasen din ren og pålitelig.","FEATURE_ENRICH_TITLE":"Selskapsberikelse","FEATURE_ENRICH_BODY":"Berik selskapsprofiler automatisk med firmografiske data, tech stacks, nettstedsdata og mer for en 360-graders oversikt.","FEATURE_CONTACTS_TITLE":"Outreach til gründere","FEATURE_CONTACTS_BODY":"Finn verifiserte email-adresser og telefonnumre til gründere og nøkkelledere med vår Waterfall Enrichment. La den første kontakten telle.","FEATURE_API_TITLE":"API og integrasjoner","FEATURE_API_BODY":"Koble Datablist til interne verktøy og automatiser hele data-workflowen med vårt fleksible, utviklervennlige API.","SEE_ALSO":"Se også","VIDEO_TITLE":"Se AI Agent i aksjon","VIDEO_TEXT":"Se hvordan AI Agent kan besøke en liste over startup-nettsteder og hente ut strukturert kontaktinformasjon. En oppgave som er umulig for tradisjonelle skrapere.","FAQ_Q1":"Hvordan skiller Datablist seg fra et tradisjonelt CRM?","FAQ_A1":"CRM-er er designet for lineære salgsprosesser og blir rotete når man sporer tusenvis av potensielle deals. Datablist er en fleksibel datahub bygget for skalaen og kompleksiteten i venturekapitalens deal flow, slik at du kan håndtere store mengder startup-data uten rigiditeten i en salgspipeline.","FAQ_Q2":"Kan Datablist hjelpe oss å finne nye startups?","FAQ_A2":"Ja. Du kan bruke vår AI Agent til å scrape startup-kataloger som ProductHunt eller IndieHackers for å finne lovende selskaper før de dukker opp på alles radar. Dette hjelper deg å oppdage deals med høyt potensial tidlig.","FAQ_Q3":"Hvilke typer vekstsignaler kan vi spore?","FAQ_A3":"I stedet for å kun stole på finansieringsannonser kan dere spore sanntidsindikatorer for vekst. Våre skrapere for stillingsportaler finner startups som aktivt ansetter til nøkkelroller, noe som er et sterkt signal om vekst og product-market fit.","FAQ_Q4":"Hvordan fungerer AI-scoringsmodellen?","FAQ_A4":"Du kan bygge egendefinerte scoringsmodeller med våre AI-verktøy. Du definerer kriteriene som betyr noe for din investeringshypotese—som teamerfaring, tech stack eller markedstrender—og AI genererer et skript som rangerer hver startup i pipelinen din, slik at du kan fokusere på de beste mulighetene.","FAQ_Q5":"Dataene våre er rotete og spredt over flere regneark. Hvordan kan dere hjelpe?","FAQ_A5":"Datablist er suveren på datakonsolidering. Du kan importere data fra flere kilder, og deretter bruke verktøyene våre til å rense, deduplisere og slå alt sammen til én pålitelig masterliste over startups.","FAQ_Q6":"Hvordan håndterer Datablist tusenvis av selskaper? Vil det være tregt?","FAQ_A6":"Datablist er bygget for store datasett og håndterer opptil 1,5 millioner poster per liste, langt over grensene i regneark eller verktøy som Airtable. Du kan filtrere, sortere og håndtere tusenvis av selskaper raskt uten ytelsesproblemer.","FAQ_Q7":"Kan dere hjelpe oss å finne kontaktinformasjon til gründere?","FAQ_A7":"Ja. Når du har identifisert en lovende startup, kan våre Waterfall Enrichment-verktøy finne verifiserte email-adresser og telefonnumre til gründere og nøkkelpersoner på teamet, slik at din første outreach blir mer effektiv.","FAQ_Q8":"Trenger jeg en utvikler for å bruke Datablist?","FAQ_A8":"Nei. Datablist er en no-code-plattform med et brukervennlig regnearkgrensesnitt. Du kan bygge komplekse data-workflows, fra sourcing til scoring, uten å skrive kode."},"IndustryRetailAndECommerce":{"PAGE_TITLE":"Effektiviser driften for detaljhandel og netthandel","PAGE_DESC":"Administrer produktkataloger, leverandør-feeds og kundedata enkelt. Datablist er den fleksible no-code-plattformen for bedrifter innen detaljhandel og netthandel.","HERO_TITLE":"Effektiviser driften for detaljhandel og netthandel","INDUSTRY":"Bransje","HERO_DESC":"Administrer produktkataloger, leverandør-feeds og kundedata enkelt. Datablist er den fleksible no-code-plattformen for bedrifter innen detaljhandel og netthandel.","MASTER_TITLE":"Ditt sentrale knutepunkt for netthandelsdata","MASTER_BODY":"Slutt å sjonglere flere regneark og komplekse databaser. Datablist gir deg én, brukervennlig plattform for å administrere alle netthandelsdataene dine. Vårt fleksible no-code-grensesnitt og kredittbasert prising gjør det til en kostnadseffektiv løsning for bedrifter i alle størrelser.","PRODUCT_CATALOG_TITLE":"Konsolider og rens produktkatalogen din","PRODUCT_CATALOG_CONTENT_1":"Importer produktdata fra hvilken som helst kilde og konsolider dem i én, ren katalog. Våre kraftige verktøy for datarensing hjelper deg å standardisere enheter, priser og til og med fjerne HTML fra beskrivelser.","PRODUCT_CATALOG_CONTENT_2":"Med Datablist kan du enkelt administrere tusenvis av produkter og sikre at dataene dine alltid er nøyaktige og oppdaterte.","SUPPLIER_FEEDS_TITLE":"Automatiser leverandør-feeds","SUPPLIER_FEEDS_CONTENT_1":"Hent automatisk leverandørenes pris- og lager-feeds for å holde lagerbeholdningen din synkronisert. Datablist kan koble til eksterne API-er, noe som gjør det enkelt å integrere med systemene til leverandørene dine.","SUPPLIER_FEEDS_CONTENT_2":"Spar tid og reduser feil ved å automatisere denne kritiske delen av driften.","FEATURES_TITLE":"Alt du trenger for å lykkes","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"Konsolider produktkataloger","CONSOLIDATE_PRODUCT_CATALOG_BODY":"Slå sammen produktdata fra flere leverandører og kilder til én masterkatalog.","CLEAN_DATA_TITLE":"Rens dataene dine","CLEAN_DATA_BODY":"Standardiser og rens produktinformasjon, inkludert enheter, priser og HTML, for et konsistent og profesjonelt uttrykk.","TRANSLATE_PRODUCT_TITLE":"Oversett produktinformasjon","TRANSLATE_PRODUCT_BODY":"Oversett enkelt produktnavn og beskrivelser for å nå et globalt publikum.","GENERATE_PRODUCT_TEXT_TITLE":"Generer produkttekster med AI","GENERATE_PRODUCT_TEXT_BODY":"Bruk AI til å generere overbevisende produktbeskrivelser og annet innhold, slik at du sparer tid og arbeid.","SYNC_TO_EXTERNAL_APIS_TITLE":"Synkroniser til eksterne API-er","SYNC_TO_EXTERNAL_APIS_BODY":"Integrer med andre verktøy og systemer ved å synkronisere dataene dine til eksterne API-er.","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"Hent leverandør-feeds","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"Oppdater produktinformasjonen automatisk ved å hente siste pris- og lager-feeds fra leverandørene dine.","AGGREGATE_ORDER_FEEDS_TITLE":"Samle ordre-feeds","AGGREGATE_ORDER_FEEDS_BODY":"Få full oversikt over salget ved å samle ordre-feeds fra alle kanalene dine.","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"Administrer kunde- og målgruppelister","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"Hold kunde- og målgruppelistene dine rene og organiserte for mer effektive markedsføringskampanjer.","FAQ_Q1":"Produktdataene mine er rotete og kommer fra flere leverandører i forskjellige formater. Hvordan kan Datablist hjelpe?","FAQ_A1":"Datablist er laget for å løse nettopp dette. Du kan importere produktdata fra flere CSV- eller Excel-filer til én masterkatalog. Vår Duplicates Finder hjelper deg deretter med å slå sammen dupliserte produktoppføringer, og du kan til og med summere numeriske verdier som lagerantall automatisk.","FAQ_Q2":"Kan Datablist oversette produktbeskrivelsene mine uten å ødelegge HTML- eller JSON-formatet?","FAQ_A2":"Ja. Vår AI-drevne oversetter, som bruker modeller som ChatGPT, håndterer komplekst innhold. Du kan gi egne instruksjoner for å sikre at den kun oversetter tekst, samtidig som alle HTML-tagger og JSON-strukturer bevares, noe som er perfekt for netthandelskataloger.","FAQ_Q3":"Regnearket mitt krasjer med vår store produktkatalog. Hvor mange produkter kan Datablist håndtere?","FAQ_A3":"Regneark sliter med store datasett, men Datablist er bygget for skala. Du kan enkelt administrere produktkataloger med opptil 1,5 millioner produkter per samling, langt utover begrensningene i verktøy som Airtable eller Google Sheets.","FAQ_Q4":"Hvordan importerer jeg katalogen min fra en plattform som Shopify eller WooCommerce?","FAQ_A4":"Netthandelsplattformer som Shopify og WooCommerce lar deg eksportere produktkatalogen som en CSV-fil. Du kan importere den CSV-filen direkte til Datablist for å begynne å rense, berike eller oversette dataene dine.","FAQ_Q5":"Kan jeg automatisere henting av pris- og lageroppdateringer fra leverandørene mine?","FAQ_A5":"Ja. Hvis leverandørene dine leverer data via et API, kan du bruke vår 'Import from a remote CSV or JSON file'-datakilde til å hente og oppdatere produktinformasjonen din automatisk. Dette holder lager og priser synkronisert uten manuelt arbeid.","FAQ_Q6":"Er Datablist et godt verktøy for netthandelsbyråer som håndterer flere kunders kataloger?","FAQ_A6":"Absolutt. Du kan opprette separate samlinger for hver kundes produktkatalog og organisere dem i mapper for enkel administrasjon. Dette gjør det til et sentralt og effektivt knutepunkt for all datarensing og -håndtering.","FAQ_Q7":"Hvordan kan jeg rydde opp i inkonsistente produktdata, som priser eller HTML i beskrivelser?","FAQ_A7":"Datablist tilbyr flere verktøy for datarensing som passer perfekt for produktkataloger. Du kan konvertere tekst med HTML-tagger til ren tekst, normalisere tall med ulike skilletegn, fjerne ekstra mellomrom og endre store/små bokstaver, slik at dataene dine blir konsistente.","FAQ_Q8":"Kan AI hjelpe meg med å skrive unike produktbeskrivelser?","FAQ_A8":"Ja. Du kan bruke vår 'Ask ChatGPT'-berikelse til å generere overbevisende produktbeskrivelser basert på produktegenskapene dine. Dette sparer tid og hjelper deg å lage unikt innhold i stor skala."},"IndustrySaaSAI":{"PAGE_TITLE":"GTM Co-pilot for SaaS- og AI-startups","PAGE_DESC":"Slutt å sjonglere rotete regneark og dyre verktøy. Datablist er din alt-i-ett-plattform for å finne, rense og berike leads, slik at du kan fokusere på å lukke avtaler.","HERO_TITLE":"GTM Co-pilot for SaaS- og AI-startups","INDUSTRY_LABEL":"Bransjer","HERO_DESC":"Slutt å sjonglere rotete regneark og dyre verktøy. Datablist er din alt-i-ett-plattform for å finne, rense og berike leads, slik at du kan fokusere på å lukke avtaler.","MASTER_TITLE":"Bygg salgsmotoren din raskere","MASTER_BODY":"Som startup er fart alt. Du trenger en jevn strøm av kvalifiserte leads, men å bygge en salgspipeline tar tid. Datablist effektiviserer hele prosessen – fra å finne prospekter til å personalisere outreach – alt i én brukervennlig no-code-plattform.","PROBLEM_TITLE":"Leadgenereringen din er ødelagt – ikke produktet ditt","PROBLEM_CONTENT_1":"Du scraper data, kjøper lister og eksporterer fra CRM-et ditt, men ender opp med kaos. Regneark krasjer, data blir utdaterte, og teamet ditt sløser timer på manuell inntasting i stedet for salg.","PROBLEM_CONTENT_2":"Skreddersydde databaser er et ressurssluk, og flere abonnementer på ulike verktøy blir fort dyrt. Denne ineffektiviteten koster dere avtaler.","SOLUTION_TITLE":"Én plattform for å bygge, rense og berike","SOLUTION_CONTENT_1":"Datablist kombinerer kraften i en database med enkelheten til et regneark. Det er et fleksibelt no-code-verktøy laget for GTM-team i hurtigvoksende startups.","SOLUTION_CONTENT_2":"Samle alle lead-kildene dine, rydd opp i rotete data, berik kontakter med fersk informasjon, og automatiser workflows uten å skrive en eneste kodelinje. Det er den fleksible, kostnadseffektive løsningen du trenger for å skalere.","FEATURES_TITLE":"Alt du trenger for å drive veksten","GRID_SOURCE_TITLE":"Finn leads med høy kjøpsintensjon","GRID_SOURCE_BODY":"Gå utover statiske databaser. Bruk vår Job Board Scraper for å finne selskaper som aktivt ansetter – et tydelig signal om at de har budsjett og et problem å løse. Få ferske leads daglig.","GRID_SCRAPE_TITLE":"AI-drevet scraping","GRID_SCRAPE_BODY":"Bygg unike lead-lister som konkurrentene dine ikke kan kjøpe. Vår AI Agent skraper hvilken som helst nettside for å finne nisjedata, kundecase eller spesifikke teknologier et selskap bruker.","GRID_PERSONALIZE_TITLE":"Personaliser outreach i stor skala","GRID_PERSONALIZE_BODY":"Slutt å sende generiske emails. Bruk AI Agent til å hente unike innsikter for hvert prospekt. Finn talking points som viser at du har gjort hjemmeleksen din, og få flere svar.","GRID_DEDUPE_TITLE":"Fjern duplikater og slå sammen","GRID_DEDUPE_BODY":"Rydd opp i lead- og kundelister med vår kraftige Duplicates Finder. Slå sammen dupliserte poster fra flere kilder uten å miste verdifulle data, og sikre én sannhetskilde.","GRID_CLEAN_TITLE":"Rens og berik CRM-et ditt","GRID_CLEAN_BODY":"Hold CRM-dataene dine nøyaktige og oppdaterte. Valider emails, standardiser selskapsnavn, og berik poster med ferske data fra LinkedIn og andre leverandører for å forbedre kampanjeytelse.","GRID_AUTOMATE_TITLE":"Automatiser workflows","GRID_AUTOMATE_BODY":"Sett opp tilbakevendende oppgaver for en jevn strøm av nye, berikede leads. Planlegg scrapers og enrichments til å kjøre daglig eller ukentlig, slik at salgsteamet ditt alltid har en full pipeline.","WORKFLOW_TITLE":"En dokumentert workflow for leads av høy kvalitet","WORKFLOW_STEP1_TITLE":"1. Finn selskaper med kjøpsintensjon","WORKFLOW_STEP1_CONTENT_1":"Start med å finne selskaper med et tydelig behov. Bruk vår Job Postings Scraper for å identifisere virksomheter som aktivt ansetter for roller produktet eller tjenesten din støtter.","WORKFLOW_STEP1_CONTENT_2":"Dette er et av de sterkeste signalene på at de har budsjett og et akutt problem å løse.","WORKFLOW_STEP2_TITLE":"2. Finn beslutningstakere og kontaktinfo","WORKFLOW_STEP2_CONTENT_1":"Når du har målbedriftene dine, bruk vår Waterfall People Search for å finne de riktige kontaktene i disse selskapene – som Head of Sales eller en Marketing Director.","WORKFLOW_STEP2_CONTENT_2":"Bruk deretter våre email finder- og phone finder-verktøy for å få verifisert kontaktinformasjon.","WORKFLOW_STEP3_TITLE":"3. Samle innsikt for personalisering","WORKFLOW_STEP3_CONTENT_1":"Det er her du får et urettferdig fortrinn. Bruk AI Agent til å undersøke hvert prospekt. Be den finne deres siste blogginnlegg, caser eller til og med hvilke SaaS-verktøy de bruker.","WORKFLOW_STEP3_CONTENT_2":"Du får unik innsikt for å lage outreach-meldinger som skiller seg ut og får svar.","WORKFLOW_STEP4_TITLE":"4. Rens og ferdigstill listen din","WORKFLOW_STEP4_CONTENT_1":"Før du starter outreach, kjør den endelige listen gjennom vår Duplicates Finder. Den slår sammen eventuelle dupliserte kontakter eller selskaper og sikrer en ren, organisert liste.","WORKFLOW_STEP4_CONTENT_2":"Nå er listen klar til å synkroniseres med salgs-CRM-et ditt eller en email sequencer.","SEE_ALSO":"Se også","FAQ_Q1":"Hvordan skiller Datablist seg fra en standard B2B-database som ZoomInfo eller Apollo?","FAQ_A1":"Mens B2B-databaser leverer statiske, forhåndsinnsamlede data, gjør Datablist det mulig å bygge ferske, proprietære lead-lister fra levende kilder. Du kan bruke våre Job Scrapers for å finne selskaper med aktiv ansettelsesintensjon – et sterkt kjøpssignal. Vår AI Agent kan også utføre tilpasset web scraping for å samle nisjedata som ingen database tilbyr, og gir deg en unik konkurransefordel.","FAQ_Q2":"Startuppen min trenger leads av høy kvalitet – raskt. Hvordan kan Datablist hjelpe?","FAQ_A2":"Datablist er bygget for fart. Du kan starte med å finne selskaper med umiddelbare behov ved å bruke vår Job Postings Scraper, som samler data fra over 19 jobbportaler. Deretter bruker du våre Waterfall enrichment-verktøy for raskt å finne beslutningstakere og deres verifiserte kontaktinformasjon. Hele workflowen – fra å finne accounts til å ha en outreach-klar liste – kan gjøres på minutter.","FAQ_Q3":"Trenger jeg en utvikler eller tekniske ferdigheter for å bruke Datablist?","FAQ_A3":"Nei, Datablist er en no-code-plattform. Den kombinerer et brukervennlig regneark-grensesnitt med kraftig AI og automasjonsverktøy. Du kan utføre komplekse oppgaver som web scraping, datarensing og berikelse med enkle, naturlige språk-prompts og et pek-og-klikk-grensesnitt. Den er bygget for GTM-team, ikke utviklere.","FAQ_Q4":"Hvordan hjelper Datablist salgsteamet mitt med email-personalisering?","FAQ_A4":"Generisk outreach fungerer ikke. Datablists AI Agent fungerer som en research-assistent for salgsteamet ditt. Du kan instruere den til å besøke hvert prospekts nettsted og finne unike talking points, som nylige caser, spesifikke teknologier de bruker eller selskapsnyheter. Dette lar deg lage høyt personaliserte meldinger i skala og øker svarraten betydelig.","FAQ_Q5":"Vi har rotete lead-lister fra flere kilder. Hvordan håndterer Datablist rensing og deduplisering?","FAQ_A5":"Datablist er svært god på datahygiene. Vår Duplicates Finder bruker avanserte algoritmer, inkludert fuzzy matching, for å identifisere like poster på tvers av flere filer – selv med små variasjoner i navn eller detaljer. Du kan deretter automatisk slå sammen duplikater, kombinere motstridende informasjon (som flere telefonnumre) uten å miste data, og standardisere felt for å skape én, ren sannhetskilde.","FAQ_Q6":"Kan jeg automatisere leadgenerering for å få en kontinuerlig strøm av prospekter?","FAQ_A6":"Ja. Datablist er bygget for automasjon. Du kan planlegge datakildene dine, som Job Postings Scraper, til å kjøre daglig eller ukentlig. Dette sikrer at teamet ditt alltid har en fersk liste over selskaper med høy kjøpsintensjon å målrette, og skaper en konsistent og forutsigbar salgspipeline med minimalt manuelt arbeid.","FAQ_Q7":"Er prismodellen kostnadseffektiv for en startup?","FAQ_A7":"Absolutt. Datablist bruker et kredittbasert system for enrichments, så du betaler kun for det du bruker – ideelt for startups som må holde budsjett. Mange funksjoner, som Free Email Validator, er ubegrensede, og våre betalte planer er laget for å være langt rimeligere enn å abonnere på flere separate verktøy for scraping, rensing og berikelse.","FAQ_Q8":"Hvordan integrerer Datablist med vårt eksisterende CRM og salgsverktøy?","FAQ_A8":"Datablist er laget for å passe inn i din eksisterende workflow. Vi tilbyr en direkte integrasjon med Pipedrive for sømløs datasynkronisering. For andre CRM-er som HubSpot eller Salesforce kan du enkelt eksportere rensede og berikede lister som CSV- eller Excel-filer for rask import. Du kan også koble Datablist til tusenvis av apper via verktøy som Zapier."},"Alternatives":{"HERO_DESC":"Datablist er et verktøy for Lead Management og et godt alternativ til {toolName}. Datablist er det perfekte verktøyet for å bygge skreddersydde lead generation workflows. Sammenlign Datablist og {toolName} og se hvilket verktøy som passer best for deg.","WHAT_IS_TITLE":"Hva er {toolName}?","WHAT_IS_DESC":"{toolName} er et SaaS-verktøy som hjelper salgsteam med å kjøre outreach-kampanjer. Det integrerer flere data enrichment-tjenester og automatiserer utarbeidelsen av personlige outreach-meldinger med AI. Deretter kobler {toolName} seg til CRM-er og outreach-verktøy for å sende kampanjene.","COMPARISON_TITLE":"Hvor er Datablist bedre?","COMPARISON_CONTENT_1":"Datablist og {toolName} er to verktøy for å administrere lister over leads.","COMPARISON_CONTENT_2":"Datablist fokuserer på data cleaning, deduplisering av leads og skreddersydde workflows med vår REST API. Datablist er rask og kan håndtere flere hundre tusen leads uten problemer.","COMPARISON_CONTENT_3":"Clay fokuserer på sourcing av leads og waterfall enrichment.","COMPARISON_CONTENT_4":"Hvis du vil bygge en sentralisert database over leads med avansert deduplisering og kraftig data cleaning for å sikre datakvalitet, er Datablist for deg.","BENEFITS_TITLE":"Hvorfor bytter team fra {toolName} til Datablist?","COST_EFFECTIVE_TITLE":"Datablist er et rimeligere alternativ til {toolName}","COST_EFFECTIVE_DESC":"Clay har en begrenset gratisplan. Clay Starter-planen starter på $149/måned med kun 2 000 credits. Datablist har et rimeligere månedsabonnement og billigere credit-pakker. Jo mer du bruker verktøyet til scraping, cleaning og enrichment av leads, desto mer sparer du med Datablist.","CLEANING_TITLE":"Avanserte verktøy for cleaning og deduplisering","CLEANING_DESC":"Datablist tilbyr avanserte data-cleaning-verktøy. Fra konvertering av datatyper til normalisering av data, overgår Datablist regnearkverktøy for data cleaning i stor skala. Lead Deduplication er en innebygd funksjon i Datablist. Fuzzy matching og avansert sammenslåing av duplikater hindrer at du beriker det samme leadet to ganger.","API_TITLE":"Utvidbart via API","API_DESC":"Datablist-datalageret er fullt tilgjengelig via API. Opprett collections, properties og items med vår RESTful API. Bruker du Make.com eller Zapier? Koble dem til Datablist med API-et for å bygge kraftige outreach workflows.","SCALE_TITLE":"Håndter større lister","SCALE_DESC":"Datablist håndterer opptil 100 000 items med cloud sync og opptil 2 millioner items for datamanipulasjon, transformasjon og cleaning. Skaler lead management uten ytelsesproblemer.","SUPERIOR_TITLE":"Datablist: Et bedre alternativ for Lead Generation","SUPERIOR_INTRO":"Hos Datablist forstår vi utfordringene brukere møter med andre lead generation-verktøy som Clay. Derfor har vi designet plattformen vår til å være brukervennlig, rask og lett å integrere i dine eksisterende workflows. Vårt intuitive grensesnitt sørger for en smidig oppsettprosess med minimal læringskurve, slik at du kan begynne å generere leads raskt uten bry.","ACCURATE_DATA_TITLE":"Nøyaktige og pålitelige data","ACCURATE_DATA_DESC":"Vi prioriterer datanøyaktighet og sørger for at du får oppdatert og korrekt kontaktinformasjon. Dette gir mer effektive outreach-kampanjer og bedre konverteringsrater. Si farvel til inkonsistenser og problemer med utdaterte data slik du ofte opplever på andre plattformer.","AFFORDABLE_PRICING_TITLE":"Rimelige priser","AFFORDABLE_PRICING_DESC":"Datablist tilbyr konkurransedyktige og transparente priser som passer virksomheter i alle størrelser. Vår kostnadseffektive modell sikrer at du får best mulig verdi uten uventede utgifter. I motsetning til andre verktøy trenger du ikke å bekymre deg for at kostnadene øker raskt.","RESPONSIVE_SUPPORT_TITLE":"Responsiv kundestøtte","RESPONSIVE_SUPPORT_DESC":"Vårt dedikerte supportteam er alltid klart til å hjelpe deg raskt og sørger for at eventuelle problemer blir løst effektivt. Vi er stolte av raske responstider og ekspertstøtte, slik at du kan fokusere på det som betyr mest – å utvikle virksomheten din.","SUPERIOR_CONCLUSION":"Velg Datablist for en sømløs, pålitelig og rimelig lead generation-opplevelse.","SEE_ALSO":"Se også","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESC":"Oppdag våre data enrichment-tjenester for å forbedre lead-data med selskapsinformasjon, kontaktinformasjon og mer.","DATA_SOURCES":"Datakilder","DATA_SOURCES_DESC":"Utforsk alle tilgjengelige datakilder for å importere og scrape data fra ulike plattformer og nettsteder.","API_DOCS":"API-dokumentasjon","API_DOCS_DESC":"Lær hvordan du integrerer Datablist med dine eksisterende workflows ved hjelp av vårt omfattende REST API.","LEAD_BUILDING":"Bygging av lead-lister","LEAD_BUILDING_DESC":"Bli ekspert på å bygge lead-lister av høy kvalitet med vår omfattende guide og våre verktøy."},"AIPrompts":{"metadata":{"title":"AI Prompts","description":"Bruk våre AI prompts for å forbedre leadgenerering, data-beriking og datarensing. Disse prompts hjelper deg å finne leads av høy kvalitet og holde dataene dine nøyaktige. Bruk AI til å identifisere potensielle kunder og oppdatere lead-informasjon. Perfekt for virksomheter som vil skalere med AI-drevne verktøy som optimaliserer lead management."},"breadcrumb":{"home":"Hjem","aiPrompts":"AI Prompts"},"header":{"category":"AI-verktøy for forretningsvekst","title":"Topp AI Prompts for leadgenerering, data-beriking & datarensing","description":"Automatiser funn av leads, beriking og datarensing. Disse AI prompts skalerer dine GTM workflows."},"enrichment":{"title":"AI Agent Prompts (beriking)","description":"Bruk disse prompts for å berike eksisterende elementer. Kjør disse AI prompts på dine nåværende oppføringer for å finne manglende detaljer, gjøre research eller analysere informasjon for hver rad."},"dataSource":{"title":"Source AI Agent Prompts (datakilde)","description":"Disse prompts oppretter nye elementer. Bruk dem til å skrape nettsteder for strukturert informasjon, finne kontakter som matcher spesifikke kriterier, eller bygge målrettede lister fra bunnen av med AI. Start med en URL, en instruksjon eller input fra en annen collection for å generere ferske data."},"cta":"Se prompt","detail":{"metadataTitle":"ChatGPT-prompt for: {title}","metadataNotFound":"AI Prompt ikke funnet","pageTitle":"ChatGPT-prompt for: {title}","pageTitleDataSource":"AI Agent-prompt: {title}","breadcrumbHome":"Hjem","breadcrumbEnrichments":"Enrichments Store","breadcrumbAIPrompts":"AI Prompts","copiedText":"Prompt kopiert","copyText":"Kopier prompt til utklippstavlen","relatedPrompts":"Relaterte prompts"},"enrichmentContent":{"howToTitle":"Hvordan bruke denne prompten på en CSV-fil?","howToIntro":"**Datablist lar deg ta en hel CSV-fil og kjøre prompts direkte på hver linje.**","howToTemplates":"Den gode nyheten er at prompten du trenger allerede er tilgjengelig i Datablist under \"Templates\"-seksjonen. Du trenger ikke starte fra scratch! Velg bare den template som passer oppgaven din, så er den klar til å kjøres på hver linje i CSV-en din. Dette gjør det enda enklere å transformere dataene dine med bare noen få klikk.","openDatablist":"Åpne Datablist","noSignup":"Ingen registrering kreves","step1":"Importer CSV-filen din i Datablist. Velg deretter \"Enrich\" fra toppmenyen.","step2":"Velg malen: **{title}**","step2Image":"Velg Template","step3":"Erstatt variablene i prompten med egenskapene i samlingen din ved å bruke `/` eller '{{'.","step3Image":"Definer variabler ved å bruke egenskapene i samlingen din","step4":"Hvis du ikke har alle variablene, bare rediger prompten.","step5":"**Det var alt!** Du kan nå kjøre prompten på hver linje i CSV-filen din og få resultatene i en ny kolonne. 🚀","costTitle":"Hva koster det?","costIntro":"Du har to alternativer. Begge er superenkle.","option1Title":"Alternativ 1 – Bruk din egen OpenAI API-nøkkel.","option1Desc1":"Helt gratis hos oss. Bare plugg inn nøkkelen din, så sender Datablist forespørsler gjennom kontoen din. Du betaler OpenAI direkte, basert på deres brukssatser. Ingen mellomledd. Ingen ekstra gebyrer.","option1Desc2":"Med din API-nøkkel kan du for 1 000 elementer betale rundt **$2** til OpenAI.","option1Desc3":"Dette er perfekt hvis du allerede har en OpenAI-nøkkel eller vil ha full kontroll over kostnadene.\n**Bonus:** ingen rate limits fra oss!","option2Title":"Alternativ 2 – Bruk Datablist Credits.","option2Desc1":"Ingen API-nøkkel? Ikke noe problem. Du kan bruke Datablist sin innebygde ChatGPT-konto. Vi håndterer API-biten for deg. Du betaler bare med Datablist credits.","option2List1":"Oppsett av API-nøkkel – hoppes over","option2List2":"ChatGPT rate limits – unngås","option2List3":"Kontorestriksjoner – ikke ditt problem","option2Desc2":"Det bare fungerer.","tldr":"Kort fortalt","tldrKey":"**Bruk din egen nøkkel** = billigere","tldrCredits":"**Bruk Datablist credits** = enklere","tldrEnd":"Uansett, du har kontrollen.","aiAgentTitle":"Merknad om AI Agent-prompts","aiAgentDesc1":"Denne prompten er laget for Datablist [AI Agent](/enrichments/ai-agent) beriking. **En AI Agent er et smart verktøy som bruker kunstig intelligens (AI) til å utføre oppgaver for deg. Den kan bla gjennom nettsteder, bruke Google for å finne informasjon og samhandle med ulike onlinetjenester.** Dette betyr at den kan hjelpe deg med sanntidsdata og oppdaterte svar.","aiAgentDesc2":"På den annen side kan ChatGPT API bare analysere input-teksten og svare basert på sin eksisterende kunnskap. Den har ikke mulighet til å få tilgang til internett eller hente ny informasjon på egen hånd.","aiAgentDesc3":"En AI Agent gir en mer dynamisk opplevelse ved å hente inn sanntidsdata, mens ChatGPT API er avhengig av forhåndskunnskap for å svare på forespørsler.","aiAgentDesc4":"**Når du interagerer direkte på [https://chatgpt.com/](https://chatgpt.com/), interagerer du med en Agent. Noen ganger går den på nett for å gi ekstra informasjon til prompten din (men ikke ofte). Andre verktøy som er koblet til ChatGPT bruker derimot API-et. Husk derfor at denne prompten ikke kan brukes i et annet verktøy som kaller ChatGPT API.**","aiAgentDesc5":"Datablist [AI Agent](/enrichments/ai-agent) kjører en agent på hver linje i CSV-en din."},"aiScraperContent":{"howToTitle":"Slik bruker du denne AI-prompten","step1Title":"**Create a New Collection**: Start med å opprette en ny, tom collection i Datablist der dataene skal lagres. Klikk '+ Create new collection' i sidepanelet.","step1ImageAlt":"AI web scraping > Vanlig web scraping","step2Title":"**Select the AI Agent Source**: Klikk \"See all sources\" eller gå til \"Import\" -> \"Import From Data Sources\". Velg \"AI Agent - Site Scraper\".","step2ImageAlt":"Velg AI Agent - Site Scraper","step3Title":"**Konfigurer Source**:","step3Item1":"**Select Template**: Finn og velg prompten fra \"Template\"-nedtrekksmenyen. Prompten over lastes inn automatisk.","step3Item2":"**URL to Scrape**: Skriv inn URL-en du vil skrape","step3Item3":"**Enable Pagination (valgfritt)**: Hvis resultatene er på flere sider, huk av for ***Enable Pagination*** og sett en fornuftig ***Max Pages***-grense (f.eks. 10).","step3Item4":"**Customize (valgfritt)**: Du kan justere AI-modellen (f.eks. GPT-4o mini er ofte kostnadseffektiv), redigere prompten for spesifikke behov, eller endre forventede ***Outputs***.","step3ImageAlt":"AI web scraping > Vanlig web scraping","step4Title":"**Review Outputs**: Klikk ***Continue***. Datablist viser output-feltene definert i prompten (Project Name, Client Company Name). Klikk ***+***-ikonet ved siden av hvert for å opprette tilsvarende properties (kolonner) i samlingen din.","step4ImageAlt":"Outputs","step5Title":"**Run Import**: Klikk ***Run import now***. AI Agent vil starte skraping av nettstedet basert på prompten og fylle samlingen din.","pricingTitle":"Priser","pricingDesc":"Denne datakilden bruker Datablist credits basert på forbruk. Kostnadene avhenger av nettstedets kompleksitet og antall sider som besøkes.","pricingTest":"Test ved å kjøre AI Agent på én side først for å få et kostnadsestimat.","faqTitle":"FAQ","faq1Question":"Hvordan starte et nytt kjør med samme konfigurasjon?","faq1Answer":"Når du har kjørt AI Agent, klikk på den rosa knappen øverst til høyre i datatabellen for å åpne den igjen med dine sist brukte innstillinger.","faq1ImageAlt":"Bruk dine eksisterende agent-innstillinger","faq2Question":"Hva skjer hvis AI Agent prøver å få tilgang til et beskyttet nettsted eller blir blokkert?","faq2Answer":"AI Agent bruker automatisk proxy-servere ved behov for å få tilgang til nettsteder som kan ha scraping-beskyttelser eller geografiske begrensninger. Dette øker sjansen for vellykket datauttrekk, men svært tungt beskyttede nettsteder kan fortsatt være utfordrende.","faq3Question":"Hvor mye data kan jeg behandle med AI Agent?","faq3Answer":"Når du kjører AI Agent (enten som en beriking eller en datakilde), kan Datablist-samlinger håndtere behandling for opptil 100 000 elementer (rader). For større datasett må du kanskje dele dataene i flere samlinger.","faq4Question":"Hvordan er AI Agent forskjellig fra ChatGPT/Claude/Gemini-berikelsene?","faq4Answer":"De standard AI-berikingene (ChatGPT, Claude, Gemini) prosesserer data som allerede ligger i samlingen din ved å bruke AI-ens eksisterende kunnskap. AI Agent kan aktivt samhandle med det levende nettet—utføre Google-søk, bla gjennom nettsteder og hente ny informasjon basert på prompten din.","faq5Question":"Hvor nøyaktige er resultatene?","faq5Answer":"Nøyaktigheten avhenger i stor grad av hvor tydelig og spesifikk prompten din er, samt oppgavens kompleksitet og informasjonen som er tilgjengelig på nettet. Å gi klare instrukser, eksempler og regler for håndtering av feil forbedrer resultatene. Datablist gir ofte en confidence score for AI Agent-outputs for å hjelpe med å vurdere pålitelighet."},"aiOnColContent":{"step1Title":"**Create a New Collection**: Start med å opprette en ny, tom collection i Datablist der dataene skal lagres. Klikk '+ Create new collection' i sidepanelet.","step1ImageAlt":"Ny Collection","step2Title":"**Konfigurer Source**:","step2Item1":"**Select Template**: Finn og velg prompten fra \"Template\"-nedtrekksmenyen. Prompten over lastes inn automatisk.","step2Item2":"**For every item in**: Velg en collection med elementer. AI Agent vil kjøre for hvert element.","step2Item3":"**Prompt**: Rediger prompten med variabler fra samlingen din. Bruk \"/\" for å velge en property.","step2Item4":"**Customize (valgfritt)**: Du kan justere AI-modellen (f.eks. GPT-4o mini er ofte kostnadseffektiv), redigere prompten for spesifikke behov, eller endre forventede ***Outputs***.","step2ImageAlt":"Eksempel på prompt"}},"About":{"metadata":{"title":"Om oss","description":"Vårt oppdrag er å hjelpe deg å gjøre virksomheten din til et digitalt selskap."},"jsonLd":{"description":"Vårt oppdrag er å hjelpe deg å gjøre virksomheten din til et digitalt selskap."},"vision":{"heading":"Få virksomheten din til å vokse med data","paragraph1":"Med samarbeid brakte vi et menneske til månen, og forventet levealder har doblet seg siden 1900.","paragraph2":"Teknologi er en katalysator og en multiplikator for hva samarbeid kan få til. Før den industrielle revolusjonen i 1750 doblet gjennomsnittlig inntekt per person seg hvert 6 000. år; siden da har den doblet seg hvert 50. år.","paragraph3":"I en organisasjon gjør teknologi mennesker i stand til å produsere mer og automatiserer gjentakende oppgaver, slik at organisasjonens produktivitet øker.","paragraph4":"Vi mener at denne produktivitetsgevinsten er nøkkelen til å heve levestandarden i verden. Vareprisene faller, og produktivitetsgevinster gjør at folk kan bruke mer tid på aktiviteter utenfor jobb.","paragraph5":"Når vi produserer mer med mindre arbeid, får vi mer tid sammen med våre nærmeste!"},"approach":{"heading":"Vår tilnærming","paragraph1":"Før Datablist tilbrakte jeg åtte år som medgründer og CTO i et SaaS-selskap der 80 % var ingeniører.","paragraph2":"Vi optimaliserte og automatiserte produktutviklingen. Vi bygde test- og deploy-pipelines slik at enhver kodeendring førte til en stabil ny versjon for kundene våre.","paragraph3":"Likevel var driften vår, som hos mange selskaper – kanskje også hos dere – avhengig av regneark. Fra onboarding av ansatte til mailinglister, eller for <ProspectBuildingLink>å bygge lister for prospecting</ProspectBuildingLink>, finnes det ingen alternativer til brukervennlige regnearkverktøy.","paragraph4":"Når de interne prosessene dine ligger i regneark, er du halvveis i digitaliseringen. Men den andre halvdelen av digitaliseringen er vanskelig. Å implementere automatisering med regneark eller koble regneark sammen gir ofte flere tårer enn glede. Vi har alle dårlige erfaringer med flere versjoner samt dupliserte eller ugyldige data.","paragraph5":"Derfor bygger vi Datablist. Datablist gir datastrukturer samtidig som det er fleksibelt, slik at du kan bygge dine unike prosesser.","paragraph6":"Vårt oppdrag er å hjelpe deg å gjøre virksomheten din til et digitalt selskap. Tenk deg et digitalt operativsystem med interne verktøy drevet av data. Skalerbart, fleksibelt og utvidbart, slik at ditt digitale operativsystem vokser i takt med virksomheten."},"learnMore":{"heading":"Våre tanker"},"team":{"heading":"Team","members":{"florian":{"name":"Florian Poullin","title":"Grunnlegger","description":"Tidligere: medgründer og CTO i IZBERG-Marketplace (kjøpt i januar 2019 av Open Group, et fransk børsnotert selskap)"},"habib":{"name":"Habib Benabdeslam","title":"GTM & Growth Expert","description":"Habib kombinerer sin lidenskap for mennesker, teknologi og konkurranse for å lede veksten i Datablist."}},"tooltips":{"followLinkedIn":"Følg {name} på LinkedIn","followTwitter":"Følg {name} på Twitter","bookCall":"Book en samtale med {name}"},"altText":"{name} - Datablist"}},"Contact":{"metadata":{"title":"Kontakt ","description":"Kontakt Datablist for support, salgsforespørsler eller for å booke en demo."},"header":{"category":"Kontakt","title":"Send oss en melding","description":"Be om support, chat med teamet vårt eller få prisinformasjon."},"support":{"title":"Teknisk support","description":"For teknisk support kan du kontakte oss via email. Vennligst del skjermbilder og så mye kontekst som mulig.","showEmailButton":"Vis support email","generatingButton":"Genererer email-knapp...","emailButton":"Klikk her for å sende en email"},"sales":{"title":"Salg og markedsføring","description":"For å sende en melding til vårt salgsteam, fyll ut dette skjemaet.","button":"Spørsmål om salg"},"demo":{"title":"Få en demo","description":"Lær mer om produktene våre i en tilpasset live-demo fra salgsteamet vårt.","button":"Book demo-samtale"},"salesPage":{"metadata":{"title":"Kontakt – Datablist","description":"Kontakt Datablist for support, salgsforespørsler eller for å bestille en demo."},"breadcrumb":{"contact":"Kontakt oss","current":"Salg og markedsføring"},"header":{"category":"Kontakt","title":"Kontakt vårt salgs- og markedsføringsteam","description":"Fyll ut skjemaet nedenfor for forretningshenvendelser."}}},"Pricing":{"metadata":{"title":"Priser","description":"Velg den perfekte planen for dine databehov. Fleksible prisalternativer for enkeltpersoner og team."},"header":{"title":"Priser","subtitle":"Start gratis (<link>du kan starte uten å registrere deg</link>). Oppgrader for å låse opp potensialet i dataene dine."},"switcher":{"monthly":"Månedlig","yearly":"Årlig","discount":"-20%"},"plans":{"creditsYear":"{credits} credits per år.","creditsMonth":"{credits} credits per måned.","includedUsers":"{users} {users, plural, =1 {user} other {users}} inkludert","extraUsersMonth":"Deretter {price}/bruker/måned","extraUsersYear":"Deretter {price}/bruker/år","free":{"name":"Gratisplan","price":"0","users":"Én bruker","extraUsers":"Ingen ekstra bruker tillatt","credits":"500 kreditter per år","bulletsText":"Gratisplan inkluderer:","bullets":["Ubegrensede samlinger","Importer opptil 1 million elementer per samling lagret i nettleserens lagring","Duplikatfinner","Tilgang til gratis databerikelser","Importer CSV- og Excel-filer","Eksporter til CSV- og Excel-filer"],"restrictions":["Ingen skysynkronisering","Ingen automatisering for berikelser","Ingen premium-berikelser","Ingen tilpasset API-berikelse","Ingen eksportintegrasjoner"]},"starter":{"name":"Starter","creditsExtra":"Bruk påfyll for flere kreditter.","billedYearly":"faktureres årlig","bulletsText":"Alt i Gratisplan, og:","bullets":["Importer opptil 2 millioner elementer per samling lagret i nettleserens lagring","Synkroniser samlinger med færre enn 100 000 elementer i skyen","Avansert filtrering med regulære uttrykk og filtergrupper.","Avanserte dedupliseringsalgoritmer og innstillinger for automatisk sammenslåing","Deduplisering på tvers av flere samlinger","Avanserte dataekstraksjonsalgoritmer","Kodebibliotek for Javascript Run","AI Agent-berikelse","Tilgang til alle premium-berikelser","Prioritert support"],"restrictions":["Ingen automatisering for berikelser","Ingen eksportintegrasjoner","Ingen tilpasset API-berikelse","Ingen REST API-tilgang"]},"growth":{"name":"Growth","creditsExtra":"Bruk påfyll for flere kreditter.","billedYearly":"faktureres årlig","mostPopular":"Mest populær","bulletsText":"Alt i Starter-planen, og:","bullets":["Automatisering av berikelser","Automatisering av datakilder","Tilpasset API-berikelse","Datablist REST API","Teknisk onboarding"]},"common":{"perMonth":"per måned","signUp":"Registrer deg","notIncluded":"Ikke inkludert:"}},"faq":{"title":"Ofte stilte spørsmål","subtitle":"Nedenfor finner du svar på de spørsmålene vi får oftest om abonnementene våre","questions":{"canIUseFree":{"title":"Kan jeg bruke Datablist gratis?","message":"Gratisplanen er gratis for alltid. Den er laget for enkeltpersoner med sporadiske behov. Våre betalte planer tilbyr flere datahandlinger, skysynkronisering og teamadministrasjon."},"whatIsCollection":{"title":"Hva er en Datablist-samling?","message":"I Datablist struktureres dataene dine med samlinger som inneholder elementer. Alle elementene i en samling deler samme datastruktur. For eksempel kan en samling være en liste over salgsleads, e-poster i en mailingliste eller rekrutteringskandidater. <link>Se dokumentasjon for samlinger</link>."},"whereIsDataStored":{"title":"Hvor lagres dataene mine?","message":"Datablist bruker en lokal database levert av nettlesere for å lagre strukturert data. En lokal database er perfekt for rask tilgang og en responsiv brukeropplevelse. Men disse lokale dataene er begrenset til nettleseren din og kan gå tapt. For betalte planer synkroniseres samlinger med opptil 100 000 elementer i skyen."},"canIExport":{"title":"Kan jeg eksportere dataene mine lagret i Datablist?","message":"Selvfølgelig! Data er din ressurs, og eksport er gratis og ubegrenset. Du kan eksportere dataene direkte fra samlingene dine i CSV- og/eller Excel-format. For samlinger som ikke er synkronisert i skyen, anbefaler vi at du utfører regelmessige eksporter for å sikkerhetskopiere dataene i tilfelle nettleseren din sletter dem. Merk at Excel har noen begrensninger på størrelsen på en celle og på antall rader. En stor samling kan derfor ikke eksporteres i Excel-format."},"whatAreCredits":{"title":"Hva brukes kreditter til?","message":"For noen berikelser (OpenAI, Google Translate, DeepL, Email Finder osv.) bruker Datablist tredjeparts-API-er. De fleste tredjeparts-API-er er betalte tjenester. For å håndtere dette har Datablist et kredittsystem. Alle andre funksjoner (deduplisering, redigering, filtrering osv.) er ubegrenset. <link>Mer om Datablist-kreditter</link>."},"whenCreditsYearly":{"title":"Når får jeg kreditter for årsplanen?","message":"På årsplaner får du summen av månedlige kreditter ved kjøpstidspunktet. På Starter-planen mottar du 60 000 kreditter med en gang, og på Growth-planen får du 240 000 kreditter."},"whatIsEnrichment":{"title":"Hva er en berikelse?","message":"<enrichmentsLink>Enrichments</enrichmentsLink> er nettprogrammer som utfører operasjoner på alle eller deler av elementene i samlingen din. Datablist <storeLink>Enrichments Store</storeLink> inkluderer berikelser for lead generation, tekstoversettelser, web scraping, ChatGPT osv."},"premiumEnrichmentsList":{"title":"Har dere en liste over premium-berikelser?","message":"Vi legger til berikelser hver måned. For å få en oppdatert liste over berikelsene våre, <link>åpne Datablist</link> og klikk på \"Enrich\"-knappen i headeren til en samling. Alle berikelser er listet der. En \"Premium\"-etikett er synlig ved siden av premium-berikelsene."},"canBrowserDelete":{"title":"Kan nettleseren min slette mine lokale data?","message":"Det kan skje hvis du tømmer nettleserens cache, eller når du når lagringsgrensen på harddisken. Den lokale databasen Datablist bruker slettes sammen med informasjonskapsler, hurtigbufrede data og annet nettstedsdata når du tømmer nettstedsdata i nettleseren. For å unngå datatap, bruk skysynkronisering (tilgjengelig for samlinger med færre enn 100 000 elementer i de betalte planene). En annen måte å beskytte dataene på er å eksportere dem jevnlig til en CSV-fil."},"cloudSyncLimit":{"title":"Hva skjer når jeg når grensen for skysynkronisering av elementer?","message":"Betalte planer har skysynkronisering for samlinger med færre enn 100 000 elementer. For større samlinger er skysynkronisering foreløpig ikke mulig, og dataene i samlingen lagres kun i nettleseren din."},"browserSupport":{"title":"Fungerer Datablist i alle nettlesere?","message":"Datablist krever en moderne nettleser. Nye versjoner av Chrome, Safari, Firefox og Edge støttes. Internet Explorer støttes ikke. Datablist er for tiden laget for nettlesere på desktop. En mobilversjon som er kompatibel med mobilnettlesere står på roadmapen."},"freeVsPremium":{"title":"Hva er forskjellene mellom gratis- og premium-berikelser?","message":"Gratis-berikelser er tilgjengelige for registrerte gratisbrukere, mens premium-berikelser er forbeholdt kunder. Premium-berikelser bygger som regel på tredjepartstjenester og har månedlige anropsgrenser."},"hitEnrichmentLimit":{"title":"Hva skjer når jeg når grensen for premium-berikelser?","message":"Når kredittsaldoen er brukt opp, kan du ikke kjøre premium-berikelser. Du kan fylle på (top-up) kreditter eller vente til de månedlige kredittene fornyes."},"paymentOptions":{"title":"Hvilke betalingsalternativer har jeg?","message":"Alle månedlige betalinger gjøres med kredittkort eller PayPal. Datablist bruker Chargebee, Stripe eller PayPal til å behandle og lagre kredittkortdata."},"canCancel":{"title":"Kan jeg si opp planen min når som helst?","message":"Det er ingen binding hos Datablist. Gå bare til abonnementsseksjonen og klikk på 'Downgrade account'."},"canUpgrade":{"title":"Kan jeg oppgradere fra Starter til Growth-planen?","message":"Ja. Du kan oppgradere fra Starter til Growth-planen. Når du går fra Starter til Growth, skjer endringen umiddelbart, og du blir belastet pro rata for dagene som gjenstår før neste faktureringsperiode. For eksempel: Hvis faktureringsperioden din er den 5. hver måned, og du oppgraderer til Growth den 1., blir du fakturert prisforskjellen for de resterende 5 dagene."},"canDowngrade":{"title":"Kan jeg nedgradere fra Growth til Starter-planen?","message":"Ja. Du kan nedgradere fra Growth til Starter-planen. Når du nedgraderer, trer endringene i kraft ved slutten av faktureringsperioden. For eksempel: Hvis faktureringsperioden din er den 5. hver måned, og du nedgraderer til Starter den 1., forblir du på Growth til den 5."},"refunds":{"title":"Tilbyr dere refusjon?","message":"Vi tilbyr ikke refusjon, dessverre. Produktet kan testes med gratisversjonen vår."}}},"cloudAgency":{"title":"Skybyrå? La oss ta en prat!","description1":"Er du et lead generation-byrå? La oss bygge en plan som passer dine behov.","description2":"Vi tilbyr også Professional Services for skreddersydde integrasjoner eller spesifikke behov.","description3":"<link>Book en samtale med oss.</link>","complexUseCase":{"title":"Har du et komplekst use case?","description1":"For byråer, teknologipartnere, Professional Services-partnere eller alle med et komplekst behov: Vennligst <contactLink>kontakt oss</contactLink> eller <bookLink>book en samtale med teamet vårt</bookLink>.","description2":"Sjekk også vårt <helpLink>Hjelpesenter</helpLink> for å lære mer om hvordan Datablist fungerer."}},"v4":{"hero":{"eyebrow":"Priser","title":["Enkle abonnementer. Nøyaktige data.","Kraftige AI-workflows."],"description":"Velg et abonnement med funksjonene du trenger, og legg til kreditter etter hvert som bruken øker.","badges":["Abonnementer for enkeltpersoner og team","Ubegrensede datahandlinger","Avslutt når som helst"],"note":"Betalte abonnementer inkluderer kreditter for databerikelse. Gratisabonnementet inkluderer 500 kreditter per år."},"billing":{"monthly":"Månedlig","yearly":"Årlig","save":"Spar {discount}%"},"common":{"currency":"$$","currencyCode":"USD","price":"{currency}{amount}","perMonth":"/mnd.","freeForever":"gratis for alltid","billedYearly":"faktureres årlig","includedCredits":"Inkluderte kreditter","freeCredits":"500 kreditter / år","creditsSelector":"{amount} kreditter/mnd.","creditsComparison":"{amount} kreditter / mnd.","includedInPlan":"inkludert i abonnementet","addOnNote":"+${price}/mnd. som tillegg","choose":"Velg {name} {reason}","featuresPrevious":"Du får alt i <muted>{name}</muted>, pluss:","popular":"Mest populær","breakdown":"Se oversikt","startFree":"Start gratis","startTrial":"Kom i gang gratis","limited":"Begrenset","limitedTooltip":"Tilgjengelig med dine 500 gratis kreditter. Kjøringer er tregere med gratisabonnementet.","loading":"Laster priser …","creditsMonth":"{amount} kreditter per måned","creditsYear":"{amount} kreditter per år","includedUsers":"{users, plural, =1 {1 bruker inkludert} other {# brukere inkludert}}","extraUsersMonth":"Deretter {price}/bruker/måned","extraUsersYear":"Deretter {price}/bruker/år","annualBilling":"{price} faktureres årlig","buyCredits":"Kjøp kreditter i Datablist"},"plans":{"free":{"name":"Gratis","tag":"For enkeltbrukere som renser og utforsker data i nettleseren.","cta":"Kom i gang gratis","micro":"Krever ikke betalingskort.","choose":"hvis du bare trenger enkel deduplisering og datarensing.","featuresHeading":"Viktige funksjoner som er inkludert:","features":["<accent>5 verktøy for datarensing og uttrekk</accent>: deduplisering, søk og erstatt, masseredigering","ChatGPT-/Claude-integrasjon med din egen nøkkel","AI-redigering (begrenset)","2 millioner poster / tabell, kun i nettleseren","Én bruker","Begrenset databerikelse","Lav kjøringshastighet","Ingen sikkerhetskopiering i skyen"]},"starter":{"name":"Starter","tag":"For enkeltpersoner som kjører workflows for scraping, databerikelse og rensing.","cta":"Kom i gang gratis","micro":"Krever ikke betalingskort.","choose":"hvis du vil scrape leads, undersøke kontoer og berike data på én plattform.","featuresHeading":"Alt i Gratis, pluss:","features":["<accent>Over 50 verktøy for scraping og berikelse av leads</accent>: email- og telefonsøk, LinkedIn, domener, firmadata og mer","<accent>Over 20 avanserte renseverktøy</accent>: verifisering, rensing og parsing","Sales Navigator Scraper","AI Research Agent og AI Scraping Agent","Sikkerhetskopiering i skyen, opptil 100k rader / tabell","{users, plural, =1 {1 bruker inkludert} other {# brukere inkludert}}","Grunnleggende brukerstøtte"]},"growth":{"name":"Growth","tag":"For enkeltpersoner og små team som automatiserer databerikelse.","cta":"Kom i gang gratis","micro":"Krever ikke betalingskort.","choose":"hvis du vil berike data og automatisere workflows.","featuresHeading":"Alt i Starter, pluss:","features":["Automatiseringer (planlagte og triggerbaserte)","REST API + Call HTTP","Integrasjoner (Lemlist, Pipedrive med flere)","{users, plural, =1 {1 bruker inkludert} other {# brukere inkludert}}","Prioritert brukerstøtte"]},"scale":{"name":"Scale","tag":"For voksende team og byråer som kjører GTM-systemer i stor skala","cta":"Kom i gang gratis","micro":"Krever ikke betalingskort.","choose":"hvis du administrerer store databaser, vil bruke dine egne AI-nøkler og beholde ubrukte kreditter.","featuresHeading":"Alt i Growth, pluss:","features":["Overføring av ubrukte kreditter","Egen nøkkel i AI Agent","Sikkerhetskopiering i skyen, opptil 200k rader / tabell","Dedikert kundeansvarlig","Prioritert brukerstøtte + onboarding"]}},"enterprise":{"title":"Enterprise","description":"Tilpassede kredittvolumer, sikkerhetsgjennomgang, fakturering, en dedikert kundeansvarlig og skreddersydd onboarding. For byråer og større team med spesifikke behov.","cta":"Snakk med salgsavdelingen"},"comparison":{"title":"Sammenlign alle funksjoner","description":"Alle abonnementene side om side. Klikk på en seksjonsoverskrift for å skjule seksjonen.","groups":[{"title":"Abonnement","rows":[{"label":"Gratis kreditter inkludert"},{"label":"Teammedlemmer","values":["1","Ubegrenset ∞","Ubegrenset ∞","Ubegrenset ∞"]},{"label":"Prioritert brukerstøtte"},{"label":"Onboarding"},{"label":"Overføring av ubrukte kreditter"},{"label":"Dedikert kundeansvarlig"}]},{"title":"Verktøy for leadgenerering","rows":[{"label":"Waterfall Email Finder","description":"Finn verifiserte B2B-emails ut fra navn og firma eller en LinkedIn-URL. Kombinerer over 20 leverandører til 25 kreditter per email, og du betaler bare for emails som blir funnet."},{"label":"Waterfall Phone Finder","description":"Finn mobilnumre fra URL-en til en LinkedIn-profil. Betal bare når et nummer blir funnet."},{"label":"LinkedIn Profile Scraper","description":"Hent opptil 40 datapunkter (rolle, firma, erfaring og utdanning) fra URL-en til en LinkedIn- eller Sales Navigator-profil uten å risikere kontoen din."},{"label":"Firmaberikelse","description":"Berik firmadata fra firmaets domene eller LinkedIn-side: bransje, størrelse, sted, etableringsår med mer – opptil 9 datapunkter."},{"label":"Company Domain Finder","description":"Finn nettstedet og domenet til et firma ut fra firmanavnet, med en konfidensvurdering."},{"label":"Scraping av stillingsportaler","description":"Scrape stillingsannonser fra over 19 stillingsportaler, inkludert LinkedIn, Indeed og Glassdoor. Kan filtreres etter stillingstittel, sted, firma med mer"},{"label":"Sales Nav Scraper (din konto)","description":"Scrape leads eller firmaer fra et LinkedIn- eller Sales Navigator-søk ved hjelp av din egen LinkedIn-konto. 10 kreditter per lead."},{"label":"Sales Nav Scraper (uten konto)","description":"Scrape leads eller firmaer fra et Sales Navigator-søk uten å koble til din egen konto. 20 kreditter per lead."}]},{"title":"AI og automatisering","rows":[{"label":"ChatGPT-/Claude-integrasjon (din nøkkel)","description":"Kjør en valgfri LLM-prompt på tvers av radene dine med din egen API-nøkkel. Ingen Datablist-kreditter brukes."},{"label":"AI Research Agent","description":"Gi agenten en valgfri oppgave eller et spørsmål, så søker den på Google og besøker nettsteder for å fullføre oppgaven."},{"label":"Automatisering","description":"Kjør databerikelser og importer automatisk etter en tidsplan eller trigger."},{"label":"REST API + Call HTTP","description":"Les og skriv dataene dine programmatisk, og kall et valgfritt eksternt endepunkt fra en workflow."},{"label":"Integrasjoner (Lemlist, Pipedrive med flere)","description":"Send leads direkte til tredjepartskilder."},{"label":"Egen nøkkel i AI Agent","description":"Bruk din egen API-nøkkel for modeller med AI Agent for å redusere kostnadene."}]},{"title":"Regnearkfunksjoner","rows":[{"label":"Lagring","values":["Kun i nettleseren","Skysynkronisering","Skysynkronisering","Skysynkronisering"]},{"label":"Antall tabeller","values":["∞","∞","∞","∞"]},{"label":"Importgrense / tabell","values":["2 millioner poster","2 millioner poster","2 millioner poster","2 millioner poster"]},{"label":"Synkroniserte rader / tabell","values":["-","100k","100k","200k (kommer snart)"]},{"label":"Versjonshistorikk (kommer snart)","values":["Ingen","7 dager","14 dager","30 dager"]},{"label":"AI-redigering","values":["3 gratis redigeringer","Ubegrenset","Ubegrenset","Ubegrenset"]}]},{"title":"Funksjoner for datarensing","rows":[{"label":"Deduplisering i én fil","description":"Finn, slå sammen eller fjern duplikater i en samling med konfigurerbare samsvarsregler."},{"label":"Søk og erstatt","description":"Søk etter og erstatt verdier i et felt eller i hele samlingen."},{"label":"Masseredigering","description":"Rediger mange elementer samtidig: angi eller erstatt flere verdier på én gang."},{"label":"Trekk ut data fra tekst","description":"Trekk ut emails, URL-er og telefonnumre fra et hvilket som helst tekstfelt."},{"label":"Email-validering","description":"Kontroller syntaks, domene og MX-poster for en email umiddelbart. En gratis kontroll med øyeblikkelig resultat."},{"label":"Papirkurv og datagjenoppretting","description":"Gjenopprett elementer som ved et uhell er slettet, fra papirkurven."},{"label":"Deduplisering i flere filer","description":"Dedupliser på tvers av flere samlinger eller importer samtidig."},{"label":"Email-verifisering","description":"Kontroller full leveringsdyktighet (syntaks, domene, innboks og catch-all) på tvers av flere leverandører."},{"label":"Rensing av firmanavn","description":"Standardiser firmanavn: fjern LLC og Inc, og korriger bruk av store og små bokstaver."},{"label":"Rensing av telefonnumre","description":"Standardiser telefonnummerformater og legg til manglende landskoder."},{"label":"Navneparser","description":"Del et fullt navn i fornavn og etternavn, og finn kjønn og tittel."},{"label":"Finn språk","description":"Identifiser språket i en tekst med en konfidensscore."}]}]},"credits":{"title":"Slik fungerer kreditter","description":"Det er alltid gratis å kjøre workflows, rense data, trekke ut tekst og bruke egne API-nøkler – uansett abonnement. Kreditter brukes til databerikelser som henter informasjon fra betalte datakilder, for eksempel email finders, telefonsøk og LinkedIn-scraping. Gratisabonnementet inkluderer 500 kreditter per år. Betalte abonnementer inkluderer kreditter for faktureringsperioden, og du kan kjøpe flere når som helst.","cards":[{"title":"Inkludert gratis i alle abonnementer","description":"Gratisabonnementet inkluderer 500 kreditter per år. Kredittmengden i betalte abonnementer avhenger av faktureringsperioden. Du bruker bare kreditter på databerikelser som henter informasjon fra betalte datakilder."},{"title":"Gjentakende kredittpakker","description":"Trenger du flere hver måned? Legg til en gjentakende pakke for å få den beste prisen per kreditt. Jo større pakke, desto lavere pris per kreditt."},{"title":"Engangspåfyll","description":"Ved sporadiske topper kan du kjøpe et engangspåfyll. Påfyllskreditter utløper aldri, og du beholder dem selv om du avslutter abonnementet."}],"note":"Rensing, deduplisering og alle verktøy du kjører med din egen API-nøkkel, bruker aldri kreditter.","costsTitle":"Dette får du for kredittene","costsDescription":"Noen av de mest populære kredittbaserte verktøyene og hva de koster.","costs":[{"name":"Company Domain Finder","description":"<accent>1 kreditt</accent> per oppslag • Rask massesøking etter domener fra firmanavn"},{"name":"AI Research Agent","description":"<accent>Bruksbasert</accent> • Gratis og ubegrenset når du bruker din egen API-nøkkel"},{"name":"Sales Navigator Scraper","description":"<accent>10–20 kreditter</accent> per eksporterte lead • Verifisert email og firmainformasjon"},{"name":"Waterfall Email Finder","description":"<accent>25 kreditter</accent> per email som blir funnet • Du betaler kun ved treff (0 kreditter hvis ingenting blir funnet)"},{"name":"LinkedIn Profile Scraper","description":"<accent>25 kreditter</accent> per profil • Scraper erfaring, jobbhistorikk og kontaktdata"},{"name":"Scraping av stillingsportaler","description":"<accent>10 kreditter</accent> per annonse • Trekker ut stillingstittel, firma, lønn og sted"}]},"topup":{"title":"Velg størrelse på et engangspåfyll","description":"Kun faste pakker, ingen egendefinerte mengder, så prisen er alltid nøyaktig som vist.","question":"Hvor mange kreditter trenger du?","credits":"kreditter","summary":"Sammendrag","oneTime":"engangsbeløp","rate":"{rate} / 1 000 kreditter","delivered":"{label} ({amount})","offRate":"{discount}% rabatt på grunnprisen","baseRate":"Grunnpris ({rate} / 1k)","labels":["Levererte kreditter","Valgt nivå","Utløper","Faktureres i"],"never":"Aldri","cta":"Kjøp nå →","tiles":[{"title":"Betal etter bruk","description":"Et betalt abonnement kreves. Kjøp kreditter bare når du trenger dem."},{"title":"Kombineres med abonnementet","description":"Legges til den månedlige kvoten i abonnementet ditt."},{"title":"Umiddelbar levering","description":"Kredittene blir tilgjengelige så snart betalingen er bekreftet."}],"tierLabels":["20k","40k","60k","80k","100k","120k","140k","200k","300k","500k","750k","1M","1.25M","1.5M"]},"faq":{"title":"Ofte stilte spørsmål","items":[{"question":"Hva er kreditter, og hva bruker dem?","answer":"Kreditter er Datablists interne valuta. Databerikelser som kaller en betalt datakilde (email- og telefonsøk, scrapere, LinkedIn, firmadata og oversettelser), bruker kreditter. Rensing, deduplisering og verktøy som bruker din egen API-nøkkel, gjør ikke det."},{"question":"Utløper kredittene mine, eller overføres de?","answer":"Abonnementskredittene fornyes ved hver faktureringsperiode og overføres ikke. Påfyllskreditter utløper aldri."},{"question":"Hva er forskjellen mellom et gjentakende tillegg og et engangspåfyll?","answer":"Et gjentakende tillegg fyller på kreditter hver måned til en bedre pris per kreditt og passer best for jevn bruk. Et engangspåfyll er et enkeltkjøp for sporadiske topper, og kredittene utløper aldri."},{"question":"Kan jeg bruke mine egne API-nøkler?","answer":"Ja. LLM-verktøy (ChatGPT, Claude, Gemini med flere) kjører gratis med din egen nøkkel i alle abonnementer. Apollo, PeopleDataLabs, Moz og Bing kjører med din nøkkel fra Starter-abonnementet og oppover."},{"question":"Tar dere betalt for datahandlinger?","answer":"Nei. Datahandlinger som deduplisering og rensing er gratis. Du betaler datakreditter for databerikelser, uten en separat handlingskreditt i tillegg."},{"question":"Hvilke databerikelser belaster bare når de finner et resultat?","answer":"De fleste søkeverktøy (email, telefon og privat email) belaster bare ved treff, så du betaler aldri for et bomskudd. Enkelte databerikelser belaster per forsøk. Se hele oversikten i hjelpesenteret."},{"question":"Hvordan får jeg de 500 gratis kredittene?","answer":"Registrer deg for Datablist med en jobb-email for å få 500 gratis kreditter."}]},"accessibility":{"included":"Inkludert","notIncluded":"Ikke inkludert"}}},"Logos":{"SUBTITLE":"Du vil være i godt selskap"},"LocaleSwitcher":{"label":"Endre språk"},"ThemeSwitcher":{"LABEL":"Tema","LIGHT":"Lys","DARK":"Mørk","AUTO":"Automatisk"},"TalkToUs":{"TITLE":"Hva ville du gjort hvis vi ga deg 3–5 ekstra timer hver uke?","SUBTITLE":"Prøv Datablist og se hvor enkel workflow-automatisering kan være. 18 000+ brukere opplever det allerede!","CTA":"Snakk med oss","START_FOR_FREE":"Start gratis!"}},"now":"$undefined","timeZone":"UTC","children":["$","$L1f",null,{"children":[["$","$L20",null,{}],["$","main",null,{"className":"mt-16","children":["$","$L2",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L3",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]}],"$L21",["$","$L22",null,{}]]}]}] </article></body></html>

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Jeg er en nysgjerrig gründer.

Jeg liker folk, teknologi og konkurranse – noen ganger litt for mye for mitt eget beste.

Siden det ikke ble New York, finner du meg hver fredag ettermiddag i samtale med fremmede et sted i Frankfurt.

For tiden jobber jeg med alt relatert til growth hos @Datablist

","FLORIAN_DESCRIPTION":"

Grunnlegger og CEO for Datablist.

Ingeniør av natur. Jeg liker å bygge, løse problemer og lære hver dag.

Basert i Frankrike.

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Men hvis det er fullt av utdaterte, dupliserte eller ufullstendige poster, holder det deg tilbake. Artiklene våre om CRM-hygiene gir deg verktøyene og tipsene du trenger for å holde databasen i topp stand. Du lærer å sette opp enkle prosesser for dataregistrering, vedlikeholde korrekt kontaktinformasjon og sikre at hver post har verdi. Vi viser hvordan du unngår vanlige fallgruver som gjør CRM rotete, slik at teamet ditt lettere finner det de trenger og kan lukke avtaler raskere. Et ryddig CRM betyr en sunnere virksomhet – og guidene våre hjelper deg dit.","AI_AUTOMATION":"Klar for å jobbe smartere, ikke hardere? AI og automatisering endrer spillet for bedrifter overalt. Artiklene våre viser hvordan du bruker disse kraftige verktøyene til å automatisere repetitive oppgaver, analysere data på nye måter og ta bedre beslutninger. Du lærer å integrere AI i daglige workflows – fra å bruke chatbots til å håndtere kundehenvendelser til å automatisere dataklassifisering. Vi bryter ned komplekse konsepter til enkle, handlingsrettede steg. Enten du er småbedriftseier eller del av et større team, hjelper guidene våre deg å utnytte kraften i AI for å øke produktiviteten og låse opp nye vekstmuligheter. Det er på tide å la teknologien jobbe for deg.","NO_CODE_SCRAPING":"Web scraping var tidligere en jobb for utviklere. Ikke nå lenger. Med våre no-code scraping-guider kan du samle inn dataene du trenger fra hvilket som helst nettsted – uten tekniske ferdigheter. Vi viser deg enkle, kraftige verktøy som lar deg hente ut alt fra kontaktinformasjon til produktdetaljer. Artiklene våre dekker grunnleggende scraping og hvordan du håndterer komplekse nettsteder uten å skrive én eneste kodelinje. Du lærer å bygge målrettede lead-lister, overvåke konkurrentenes priser og samle markedsinnsikt på et blunk. Si farvel til manuell datainnsamling og hei til rask, effektiv og sømløs scraping.","DATA_ENRICHMENT":"Dataene dine er verdifulle, men mangler sannsynligvis nøkkeldetaljer. Databerikelse handler om å fylle hullene. Artiklene våre viser hvordan du kan ta en enkel opplysning, som en email-adresse, og gjøre den om til en komplett profil. Du lærer å finne firmanavn, stillingstitler, profiler i sosiale medier og mer. Denne prosessen lar deg personalisere outreach, forbedre målrettingen og bygge et mer komplett bilde av kundene dine. Guidene våre dekker de beste verktøyene og teknikkene for å berike dataene, slik at hver post blir mer verdifull og du enklere kan komme i kontakt med de rette personene.","SALES_MARKETING":"Salg og markedsføring er to sider av samme mynt – og når de jobber sammen, vokser bedriften. Artiklene våre er fulle av strategier og innsikt som hjelper teamene dine å samarbeide effektivt. Vi dekker alt fra å bygge en sterk Ideal Customer Profile (ICP) til å lage engasjerende outreach-kampanjer. Du finner praktiske råd om leadgenerering, konverteringsoptimalisering og å beholde kunder. Guidene våre fokuserer på tiltak som virker i praksis, slik at du kan tiltrekke flere kvalifiserte leads og gjøre dem til lojale kunder. Gjør deg klar til å samkjøre salgs- og markedsføringsarbeidet og nå forretningsmålene dine."}},"Enrichments":{"TITLE":"Beriking og innhenting","API_DOCUMENTATION":{"LABEL":"API","CTA_LABEL":"API documentation","NEW_TAB":"(opens in a new tab)"},"LISTING_ACTION":"Finn ut mer","CATALOG_CTA":{"ENRICHMENTS_TITLE":"Utforsk alle databerikelser","SOURCES_TITLE":"Utforsk alle datakilder","BODY":"Opprett en gratis Datablist-konto for å se hele katalogen.","LABEL":"Opprett en gratis konto"},"AI_AGENT_TEXT":"Frigjør unike innsikter og automatiser søk på minutter som konkurrentene dine bruker timer på.","AI_AGENT_SUBTITLE":"For eksempel kan vår AI Agent:","RESEARCH_BUSINESSES":"Undersøk små bedrifter","MONITOR_PRICING":"Overvåk prissider","SCRAPE_DATA":"Scrape ustrukturerte data","FIND_REVIEWS":"Finn produktanmeldelser og mer","B2B_TEXT":"Få tilgang til 50+ datakilder av høy kvalitet for å finne og nå din neste kunde.","B2B_SUBTITLE":"Berik CRM, ATS eller en hvilken som helst annen database med nøyaktig, oppdatert informasjon.","GET_EMAILS":"Få email-adresser og telefonnumre.","FIND_ACCOUNT_DATA":"Finn oppdaterte kontoopplysninger.","SCRAPE_PROFILES":"Scrape profiler i sosiale medier.","TRACK_POSITIONS":"Følg åpne stillinger.","SYNC_TEXT":"Gå utover begrensningene i Excel, Google Sheets og Airtable.","SYNC_SUBTITLE":"Med Datablist kan du:","IMPORT_FILES":"Importer filer med opptil 2 millioner rader.","SYNC_CLOUD":"Synkroniser 100k rader per ark til skyen.","CONNECT_TOOLS":"Koble til hvilket som helst eksternt verktøy uten kode.","FILTER_DATA":"Filtrer dataene dine før import.","TAB_AI_AGENT":"AI Agent","TAB_B2B_DATA":"B2B-data","TAB_IMPORT_SYNC":"Import og synkronisering","CATALOG":{"HEADING":"Browse enrichments","SEARCH_LABEL":"Search enrichments","SEARCH_PLACEHOLDER":"Search enrichments, inputs, and outputs","CLEAR_SEARCH":"Clear search","CATEGORY_LABEL":"Filter by category","RESULT_COUNT":"{count, plural, =0 {No enrichments found} one {# enrichment} other {# enrichments}}","EMPTY_TITLE":"No matching enrichments","EMPTY_BODY":"Try another search or choose a different category.","RESET_FILTERS":"Reset filters","CATEGORIES":{"all":"All","companies":"Companies","people":"People","translations":"Translations","places":"Places","ai":"AI","urls":"URLs","crm":"CRMs","automation":"Utils"},"MATCH_CONTEXT":{"label":"Matched enrichment title","details":"Matched in details","input":"Matched input","output":"Matched output"}}},"EnrichmentGooglePlacesSearch":{"metadata":{"title":"Google Maps Connector - Find Businesses on Google Maps for Every Row | Datablist","description":"Search Google Maps for every row of a CSV or Excel file and get the business name, address, rating, phone, website and coordinates. 2.5 credits per search."},"tabs":["Overview","How to use"],"hero":{"title":"Google Maps Connector","description":"Search Google Maps for every row of your list and get the business name, address, rating, phone, website and coordinates. 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The estimate assumes fresh searches.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Build a search from your columns and get Google Maps business details back in new columns.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with company names, categories or cities. Lead lists, store lists and franchise directories all work. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Yellow Pages Extractor","description":"Extract business details from Yellow Pages including phone number, website URL, business name, and physical address.","imageAlt":"Yellow Pages Extractor"},{"title":"Business Number Extractor","description":"Visit a company website and extract their phone number with the source location.","imageAlt":"Business Number Extractor"},{"title":"Company Name to Website","description":"Search on Google for websites matching a company domain. Then visit the first results to find the one matching.","imageAlt":"Company Name to Website"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"How to scrape Google results from multiple queries at once","imageAlt":"How to scrape Google results from multiple queries at once"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Google Maps Connector with complementary data tools in Datablist.","cards":[{"title":"Location Lookup","description":"Get the city, country and coordinates of a location.","imageAlt":"Location Lookup"},{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company Enrichment"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about queries, results, coverage and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Google Maps Connector","description":"Run Datablist's Google Maps Connector on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Google Places Query","RichText","Search query for Google Places. Type a slash and choose a property to insert row values, for example the company name and the city. Google Places does not support searching by exact street address."],["Target Country","Text","Country to target for the Google Places search. Defaults to US if not set."],["Language","Text","Language of the Google Places results. Defaults to English if not set."],["Number of Results","Text","Number of places returned per search, from 1 to 5."]]},{"title":"Outputs","rows":[["Place Name","Text","Name of place #1."],["Place Address","Text","Address of place #1."],["Place Rating","Number","Rating of place #1."],["Place Rating Count","Number","Number of ratings of place #1."],["Place Category","Text","Category of place #1."],["Place Phone","Phone","Phone number of place #1."],["Place Website","Url","Website of place #1."],["Place Latitude","Number","Latitude of place #1."],["Place Longitude","Number","Longitude of place #1."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"How to scrape Google results from multiple queries at once","imageAlt":"How to scrape Google results from multiple queries at once"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]}},"corner":{"title":"Try it for Free","body":"Find business details on Google Maps for every row. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Google Maps Connector"},"EnrichmentLocationLookup":{"metadata":{"title":"Location Lookup - Get City, Country and Coordinates From Addresses in Bulk | Datablist","description":"Turn addresses and location text in a CSV or Excel file into city, country, country code, latitude and longitude, in bulk. 0.05 credits per location."},"tabs":["Overview","How to use"],"hero":{"title":"Location Lookup","description":"Turn addresses, cities and country names into a clean city, country, country code and coordinates. 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Failed or invalid URLs cost 0 credits. The estimate assumes every URL produces a PDF.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a list of URLs and get a PDF download link for each one.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with the pages to save. Invoices, reports, articles, product pages and legal pages all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Choose the layout","body":"Print in portrait or landscape, and add extra CSS to hide banners or adjust the page before it is printed. Both settings are optional, so you can run it with the defaults."},{"label":"Step 3","title":"Download your PDFs","body":"Each row gets a link to its PDF file in a new column. The link stays valid for 7 days by default, or 30 days if you choose. Each file is saved in the cloud, so you do not need to print pages yourself."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Company Summary","description":"Visit a website and generate a summary of what the company does using the metadata (title, description) and the content.","imageAlt":"Write Company Summary"},{"title":"Company Data From Website","description":"Visit a website, search for the About Page, and extract information about the company.","imageAlt":"Company Data From Website"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Website to PDF Tool with complementary data tools in Datablist.","cards":[{"title":"Bulk Scraper","description":"Scrape pages with CSS selectors and regular expressions.","imageAlt":"Bulk Scraper"},{"title":"Fetch Meta Data from URLs","description":"Pull page titles and meta tags from a list of URLs.","imageAlt":"Fetch Meta Data from URLs"},{"title":"Website Status Checker","description":"Find dead, redirected and parked websites.","imageAlt":"Website Status Checker"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about layout, links, cost and large lists.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Website to PDF Tool","description":"Run Datablist's Website to PDF Tool on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Orientation","Text","Generate PDF file in Portrait or Landscape. Default is Portrait."],["Extra CSS","LongText","Add extra CSS styles to the page before generating the PDF."],["Download Link Validity","Text","Datablist gives a download link for each PDF file. The link stays valid for a few days. The default is 7 days."]]},{"title":"Inputs","rows":[["Source URL","Url","URL to generate a PDF from"]]},{"title":"Outputs","rows":[["Result","Url","A link to download the PDF file. The link expires based on the Download Link Validity setting."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"}]}},"corner":{"title":"Try it for Free","body":"Turn a list of URLs into PDF files in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Website to PDF Tool"},"EnrichmentBulkScraper":{"metadata":{"title":"Bulk Scraper - Scrape URLs With CSS Selectors and Regular Expressions | Datablist","description":"Scrape a list of URLs from a CSV or Excel file with CSS selectors, regular expressions or JSONPath, in bulk. 0.10 credits per page, proxy option for protected pages."},"tabs":["Overview","How to use"],"hero":{"title":"Bulk Scraper","description":"Scrape the exact text you need from every URL in your list with CSS selectors or regular expressions. Each page costs 0.10 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.10 Credits per Page","Proxy for Protected Pages","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Bulk Scraper visits each URL and extracts the text that matches your CSS selectors, your regular expressions or a JSON object inside the HTML. Each selector creates its own output column, and a proxy option helps with protected pages.","cards":[{"title":"What you give","items":["Url to parse: One URL per row","CSS Selectors: One or more selectors, each with its own column name","Regex or JSONPath: Optional: extract with patterns or from JSON"],"links":["See full input reference"]},{"title":"What you get","items":["One Column per Selector: The text found for each selector","Status per Selector: success, empty_text or not_found","Run Status: Review rows that could not be scraped"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 pages cost 1,000 credits","0.50 Credits With Proxy: Only when the proxy is used","0.05 Credits When Cached: Pages fetched in the last 7 days"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Url to parse. Output: Page Heading and Status for Page Heading.","groups":["Your data","Added by Bulk Scraper"],"headers":["Url to parse","Page Heading","Status for Page Heading"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Bulk Scraper costs 0.10 credits per page with basic scraping, so 10,000 pages cost 1,000 credits. The estimate assumes basic scraping for every page: a scrape with the proxy costs 0.50 credits and a page already in the 7-day cache costs 0.05 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. Render HTML uses a proxy and costs 2 credits per fresh rendered page; it is not included in the basic-scraping estimate.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a list of URLs, describe what to extract and get it back in new columns.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with the pages to scrape. Product pages, job listings, directory entries and profile pages all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Describe what to extract","body":"Add a CSS selector for each piece of text you want, and name the column it fills. Use regular expressions or a JSON object in the HTML when selectors are not enough. Ready-made templates cover job listings, video links and alternate languages."},{"label":"Step 3","title":"Get one column per field","body":"Each selector fills its own column, with a status that tells you if the text was found. Switch on the proxy for protected pages and rerun the failed rows. Failed rows keep their status, so you can fix a selector and run them again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Scrape WTTJ Job Listings","description":"Extract job offer and company data from WelcomeToTheJungle job listing pages.","imageAlt":"Scrape WTTJ Job Listings"},{"title":"Extract Video Links","description":"Parse webpage to find video links from Youtube, Vimeo, Dailymotion, etc. and videos using HTML5 tag video.","imageAlt":"Extract Video Links"},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract the alternate languages of a page.","imageAlt":"Extract Alternate Languages"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Bulk Scraper with complementary data tools in Datablist.","cards":[{"title":"Smart Scraper","description":"Scrape page text, emails and social links in bulk.","imageAlt":"Smart Scraper"},{"title":"Fetch Meta Data from URLs","description":"Pull page titles and meta tags from a list of URLs.","imageAlt":"Fetch Meta Data from URLs"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about selectors, proxies, caching and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Bulk Scraper","description":"Run Datablist's Bulk Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Proxy for Protected Pages","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Proxy when needed","Boolean","Use a proxy to avoid protected pages, bypass rate limit, CAPTCHA, etc. Enrichment Cost is 0.50 credit per scrape with proxy. Disabled by default."],["Render HTML","Boolean","Enable Use Proxy when needed first. Render the page in a headless browser for JavaScript content. A proxy is always used and a fresh rendered scrape costs 2 credits."],["Proxy Policy","Text","Available when Use Proxy when needed is enabled and Render HTML is off. Use proxy on error (default), or always use proxy."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."],["Css Selectors","List","Matches pattern query against HTML tree. Each selector has a CSS Selector, a CSS Selector Content (InnerText by default, HTML or an attribute) and a Name for its output column."],["Extract using Regular Expressions","Boolean","Matches Regular Expressions against HTML code."],["Regular Expressions","List","The regular expressions to match, each with a name for its output column."],["Extract data from a JSON object inside the HTML code.","Boolean","Some webpages have JSON available in their HTML code. Use this setting to define the path to the JSON data, and to define the JSONPaths to extract information."],["Path to the JSON object","Text","Where the JSON object sits in the HTML code."],["JSONPath expressions","List","The JSONPath expressions to extract, each with a name for its output column."]]},{"title":"Inputs","rows":[["Url to parse","Url","The URL of the page to scrape."]]},{"title":"Outputs","rows":[["Scraped Text #X","LongText","Text found in matching CSS nodes for the selector. The column takes the name you give the selector."],["Status for each selector","Text","One of the following: success, empty_text, not_found"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]}},"corner":{"title":"Try it for Free","body":"Scrape any field from a list of URLs with CSS selectors. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Bulk Scraper"},"EnrichmentWebsiteMetaDataFetcher":{"metadata":{"title":"Website Meta Data Fetcher - Get Title, Description and Canonical From URLs | Datablist","description":"Get the meta title, description, keywords and canonical tag of every URL in a CSV or Excel file, and check if the site is online. 0.20 credits per URL."},"tabs":["Overview","How to use"],"hero":{"title":"Website Meta Data Fetcher","description":"Get the title, description, keywords and canonical tag of every URL in your list, and see which sites are online. Each URL costs 0.20 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.20 Credits per URL","Title and Meta Description","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Website Meta Data Fetcher visits each URL and returns the content of its title, description, keywords and canonical meta tags, plus whether the website is reachable. A proxy option helps with protected pages.","cards":[{"title":"What you give","items":["Website URL: One URL or domain per row","Use Proxy when needed: Optional: for protected or rate-limited pages","Disable cached data: Optional: force a fresh fetch"],"links":["See full input reference"]},{"title":"What you get","items":["Title and Description: The content of the title and description tags","Keywords and Canonical: The keywords tag and the canonical URL","Website online?: Whether the website is reachable"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.20 Credits per URL: 10,000 URLs cost 2,000 credits","0.60 Credits With Proxy: Only when the proxy is used","0.05 Credits When Cached: Pages fetched in the last 7 days"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Website URL. Output: Website Title, Website Description, Website Canonical tag and Website online?.","groups":["Your data","Added by Website Meta Data Fetcher"],"headers":["Website URL","Website Title","Website Description","Website Canonical tag","Website online?"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many URLs you want to check and we'll show you the cheapest way to run them.","unitsLabel":"URLs to check","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Website Meta Data Fetcher costs 0.20 credits per URL with basic scraping, so 10,000 URLs cost 2,000 credits. The estimate assumes basic scraping for every URL: a scrape with the proxy costs 0.60 credits and a page already in the 7-day cache costs 0.05 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a list of URLs and get their meta information back in new columns.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with website URLs or domains. Lead lists, SEO audits, directory exports and competitor lists all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Fetch each page","body":"Datablist visits each URL and reads its meta tags. Switch on the proxy for protected pages. Pages fetched in the last 7 days come from the cache at a lower cost. You only pay the proxy price on the pages that need it."},{"label":"Step 3","title":"Use the results","body":"Each row returns the title, description, keywords and canonical tag, and whether the site is online, so you can qualify leads or audit pages in bulk. Dead or unreachable sites are easy to filter with the online column."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Company Summary","description":"Visit a website and generate a summary of what the company does using the metadata (title, description) and the content.","imageAlt":"Write Company Summary"},{"title":"B2B or B2C Website","description":"Classify a website as B2B or B2C by identifying its primary audience and purpose.","imageAlt":"B2B or B2C Website"},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract the alternate languages of a page.","imageAlt":"Extract Alternate Languages"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Website Meta Data Fetcher with complementary data tools in Datablist.","cards":[{"title":"Website Status Checker","description":"Find dead, redirected and parked websites.","imageAlt":"Website Status Checker"},{"title":"Bulk Scraper","description":"Scrape pages with CSS selectors and regular expressions.","imageAlt":"Bulk Scraper"},{"title":"Identify Technologies on Websites","description":"Find the technology stack of any website.","imageAlt":"Identify Technologies on Websites"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, caching and dead websites.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Website Meta Data Fetcher","description":"Run Datablist's Website Meta Data Fetcher on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Proxy when needed","Boolean","Use a proxy to avoid protected pages, bypass rate limit, CAPTCHA, etc. Enrichment Cost is 0.60 credit per scrape with proxy. Disabled by default."],["Proxy Policy","Text","When to enable proxy? Default: Proxy enabled on scraping error."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."]]},{"title":"Inputs","rows":[["Website Url","Text","The website url to fetch meta information"]]},{"title":"Outputs","rows":[["Website Title","Text","The page title, with metadata fallback when available."],["Website Description","Text","Content of the Description Meta tag"],["Website Keywords","Text","Content of the Keywords Meta tag"],["Website Canonical tag","Text","The canonical URL of the page."],["Website online?","Boolean","Is the website currently reachable"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"}]}},"corner":{"title":"Try it for Free","body":"Get the title, description and canonical tag of every URL in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Website Meta Data Fetcher"},"EnrichmentFreeEmailValidation":{"metadata":{"title":"Free Email Validation Tool - Check Email Syntax, Disposable Domains and MX Records | Datablist","description":"Validate email addresses in a CSV or Excel file for free: syntax, disposable domains and MX records, plus business email and email provider detection."},"tabs":["Overview","How to use"],"hero":{"title":"Free Email Validation Tool","description":"Check every email address in your list for valid syntax, disposable domains and working MX records. Free on every plan.","primary":"Always free","guide":"Check Full Guide","note":"No credit card needed","trust":["Always Free","Disposable and MX Checks","Business Email Detection"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Free Email Validation Tool checks each address for valid syntax, flags disposable (temporary) email domains and looks up the domain's MX records. It also tells you if the address is a business email and which provider hosts it. It does not ping the mailbox.","cards":[{"title":"What you give","items":["Email: One email address per row","MX Check: On by default, can be switched off","Nothing Else: Map the column and run it"],"links":["See full input reference"]},{"title":"What you get","items":["Valid Email: The enabled validation checks passed","Error Status: Why an address is invalid","Business Email and Provider: Business or generic domain, and the MX provider"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Always Free: No credits used","Any Plan: Works on the free plan","Large Lists: No per-email charge; your plan’s import limits still apply"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Email. Output: Valid Email, Error status, Business Email, Domain and MX Provider.","groups":["Your data","Added by Free Email Validation Tool"],"headers":["Email","Valid Email","Error status","Business Email","Domain","MX Provider"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run on every plan","description":"Free Email Validation Tool does not use Datablist credits, so there is no cost to estimate.","planRows":[["Datablist credits","None. This enrichment is always free."],["Running in the app","Works on every plan, including the free plan."],["Running through the API or MCP","Needs the Growth plan. API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Free Email Validation Tool checks syntax, disposable domains and MX records. It does not ping the mailbox. For mailbox-level checks, use Waterfall Email Verifier, which uses credits."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of email addresses and get validation results back in new columns.","steps":[{"label":"Step 1","title":"Import your email list","body":"Upload a CSV or Excel file with email addresses. Newsletter exports, CRM contacts, event signups and scraped lists all work. There is no credit cost. Your plan’s file-import limits still apply."},{"label":"Step 2","title":"Run the free checks","body":"Datablist checks the syntax, flags disposable email domains and looks up each domain's MX records, the mail servers that accept its email. It does not ping the mailbox, so it stays fast and free."},{"label":"Step 3","title":"Clean your list","body":"Filter out invalid and disposable addresses, keep business emails for outreach, and send risky rows to a mailbox verifier if you need more certainty. Error status tells you why each invalid address failed."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Check if Still at Company","description":"Verify if a prospect is still working at their company by comparing their email domain with the company website.","imageAlt":"Check if Still at Company"},{"title":"Write Email First Line","description":"Use a person's LinkedIn description to write an email's first line.","imageAlt":"Write Email First Line"},{"title":"Clean Company Name","description":"Clean and standardize company names.","imageAlt":"Clean Company Name"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to clean an email list for free","imageAlt":"How to clean an email list for free"},{"title":"How to detect disposable domains in a list of email addresses","imageAlt":"How to detect disposable domains in a list of email addresses"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Free Email Validation Tool with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Verifier","description":"Verify mailboxes across several providers.","imageAlt":"Waterfall Email Verifier"},{"title":"Extract Name from Email Address","description":"Get a person's name from an email address.","imageAlt":"Extract Name from Email Address"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about what is checked, cost and accuracy.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Free Email Validation","description":"Run Datablist's Free Email Validation on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Disable MX-records analysis","Boolean","Disable domain DNS/MX analysis to run syntax and disposable-domain checks only. MX Provider stays empty when this setting is enabled."]]},{"title":"Inputs","rows":[["Email","Text","The email address to validate."]]},{"title":"Outputs","rows":[["Valid Email","Boolean","Checked when syntax and disposable-domain checks pass, and when the enabled DNS/MX checks pass. This does not verify mailbox existence."],["Error status","Text","The reason when the email address is invalid"],["Business Email","Boolean","Return True if the domain is not from a generic email provider (gmail, yahoo, etc.)"],["Domain","Text","Return the domain part of the email. After the @. Example: gmail.com"],["MX Provider","Text","Return the email provider. Examples: google, microsoft, ovh, etc."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to clean an email list for free","imageAlt":"How to clean an email list for free"},{"title":"How to detect disposable domains in a list of email addresses","imageAlt":"How to detect disposable domains in a list of email addresses"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]}},"corner":{"title":"Try it for Free","body":"Validate email syntax, disposable domains and MX records for free. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Free Email Validation Tool"},"EnrichmentEntityNameExtraction":{"metadata":{"title":"Entity Name Extraction - Extract People, Company and Location Names From Text | Datablist","description":"Extract person names, company names and locations from text in a CSV or Excel file, in bulk. Machine learning model trained in 10 languages. 0.05 credits per text."},"tabs":["Overview","How to use"],"hero":{"title":"Entity Name Extraction","description":"Pull person, company and location names out of free text in your spreadsheet. Each text costs 0.05 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.05 Credits per Text","Finds People and Company Names","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Entity Name Extraction reads a text column and returns the person names, company names and locations it finds. 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Output: Person Name, Organization Name and Location.","groups":["Your data","Added by Entity Name Extraction"],"headers":["Text","Person Name","Organization Name","Location"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many texts you want to process and we'll show you the cheapest way to run them.","unitsLabel":"Texts to process","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Entity Name Extraction costs 0.05 credits per text, so 10,000 texts cost 500 credits and 100,000 texts cost 5,000 credits. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Names From a Text","description":"Extract all proper nouns from a given text. The extracted names are returned as a comma-separated list.","imageAlt":"Extract Names From a Text"},{"title":"Split Address Into Parts","description":"Parse a full postal address into structured address parts such as street, city, state, postal code, and country.","imageAlt":"Split Address Into Parts"},{"title":"Get Country From Location","description":"Extract country name and ISO2 code from a given location (city, region, etc.).","imageAlt":"Get Country From Location"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Entity Name Extraction with complementary data tools in Datablist.","cards":[{"title":"Name Parser","description":"Split full names into parts, with gender and country.","imageAlt":"Name Parser"},{"title":"Ask ChatGPT/OpenAI","description":"Run any ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Language Detection","description":"Detect the language of each row.","imageAlt":"Language Detection"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about accuracy, languages, cost and multiple names.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Entity Name Extraction","description":"Run Datablist's Entity Name Extraction on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Delimiter when multiple names","Text","When several names are found, Datablist joins them with this delimiter. Default is comma."],["Extraction Mode","Text","Choose Strict for fewer false positives, Balanced for default extraction, or Recall to catch more names with more noise."]]},{"title":"Inputs","rows":[["Extract entities from","LongText","The text to extract names from."]]},{"title":"Outputs","rows":[["Organization Name","Text","Company or organization names found in the text."],["Person Name","Text","Person names found in the text."],["Location","Text","Locations found in the text."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]}},"corner":{"title":"Try it for Free","body":"Extract people, companies and places from text in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Entity Name Extraction"},"EnrichmentLanguageDetection":{"metadata":{"title":"Language Detection Tool - Detect the Language of Excel or CSV Rows in Bulk | Datablist","description":"Detect the language of each row in a CSV or Excel file: language name, ISO 639 code and confidence. 0.05 credits per text, no LLM needed."},"tabs":["Overview","How to use"],"hero":{"title":"Language Detection Tool","description":"Find the language of every text in your spreadsheet, with its ISO code and a confidence level. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"},{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]}},"corner":{"title":"Try it for Free","body":"Detect the language of every row in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Language Detection Tool"},"EnrichmentChatGPTTranslation":{"metadata":{"title":"ChatGPT Powered Translation Tool - Translate a CSV or Excel Column in Bulk | Datablist","description":"Translate a column of text in a CSV or Excel file with ChatGPT, in bulk. Choose the GPT model and add your own instructions. From 1 credit per 1,000 characters."},"tabs":["Overview","How to use"],"hero":{"title":"ChatGPT Powered Translation Tool","description":"Translate a spreadsheet column with ChatGPT, with your own instructions and the model of your choice. From 1 credit per 1,000 characters with GPT-4o mini.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["1 Credit per 1,000 Characters","Choose Your GPT Model","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"ChatGPT Powered Translation Tool translates one column of your spreadsheet into the language you choose and writes the result to a new column. 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Output: Translated Text.","groups":["Your data","Added by ChatGPT Powered Translation Tool"],"headers":["Text to translate","Translated Text"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many characters you want to translate and we'll show you the cheapest way to run them.","unitsLabel":"Characters to translate (in thousands)","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. ChatGPT Powered Translation Tool costs about 1 credit per 1,000 characters with GPT-4o mini, the default model, so 1,000,000 characters cost about 1,000 credits. The estimate assumes GPT-4o mini; larger models cost up to about 50 credits per 1,000 characters. Token use varies with the text, so the cost is approximate. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of text and get the ChatGPT translation back in a new column.","steps":[{"label":"Step 1","title":"Import your spreadsheet","body":"Upload a CSV or Excel file with the text you want to translate. Product catalogs, reviews, support replies and website content all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Choose language and model","body":"Pick the target language and, if you need it, a GPT model and extra instructions, such as a tone, a glossary or keeping HTML tags untouched. GPT-4o mini is the default model."},{"label":"Step 3","title":"Get the translation in a new column","body":"Each translation is written to a new column and your original text stays as it is. The enrichment runs in the background, so large files keep going while you work. Rows that fail keep their status, so you can run them again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Correct Text Grammar","description":"Correct grammatical errors in a given text.","imageAlt":"Correct Text Grammar"},{"title":"Correct Text Capitalization","description":"Ensure proper capitalization (first letter of each sentence and proper nouns) for a given text.","imageAlt":"Correct Text Capitalization"},{"title":"Analyze Customer Reviews","description":"Summarize and classify customer reviews, recommend a grounded next action, and flag reviews that need manual review.","imageAlt":"Analyze Customer Reviews"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair ChatGPT Powered Translation Tool with complementary data tools in Datablist.","cards":[{"title":"Google Translate","description":"Translate a column with Google Translate.","imageAlt":"Google Translate"},{"title":"DeepL Translate","description":"Translate a column with DeepL, formality and context options.","imageAlt":"DeepL Translate"},{"title":"Ask ChatGPT/OpenAI","description":"Run any ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about models, cost, instructions and structured text.","items":[]},"guide":{"hero":{"title":"How to use Datablist's ChatGPT Powered Translation Tool","description":"Run Datablist's ChatGPT Powered Translation Tool on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Target Language","Text","The language that you are translating to"],["Source Language","Text","If not specified, will be auto detected"],["Advanced Settings","Boolean","Configure model and extra instructions."],["GPT Model","Text","Choose a model under Advanced Settings. GPT-4o mini is the default. Character-based estimates range from about 0.9 to 50 credits per 1,000 characters; actual cost depends on token usage."],["Extra Instructions","Text","Under Advanced Settings, choose Keep XML or HTML structure, Keep JSON structure, or Custom Instructions."],["Custom Instructions","LongText","Required when Advanced Settings is enabled and Extra Instructions is Custom Instructions. Add tone, glossary, placeholder or formatting rules."]]},{"title":"Inputs","rows":[["Text to translate","Text","The text to translate."]]},{"title":"Outputs","rows":[["Translated Text","LongText","Translation returned by ChatGPT"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]}},"corner":{"title":"Try it for Free","body":"Translate a spreadsheet column with ChatGPT in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"ChatGPT Powered Translation Tool"},"EnrichmentPhoneNumberExtractor":{"metadata":{"title":"Phone Number Extractor - Extract Phone Numbers, Type and Carrier From Text | Datablist","description":"Extract phone numbers from text in a CSV or Excel file in bulk, with country, number type and carrier. 0.01 credits per row."},"tabs":["Overview","How to use"],"hero":{"title":"Phone Number Extractor","description":"Turn a column of text into clean international phone numbers, with country, type and carrier. 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It can also return the country, the number type and the carrier name.","cards":[{"title":"What you give","items":["Source Text: A text column, one text per row","Local Phone Countries: Optional: countries for numbers without a + code","Country per Row: Optional: a Country column that overrides the setting"],"links":["See full input reference"]},{"title":"What you get","items":["Extracted Numbers: Phone numbers in international format","Countries and Types: Optional: country name and number type for each number","Carrier Names: Optional: the carrier when the metadata has one"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.01 Credits per Row: 10,000 rows cost 100 credits","500 Free Credits at Signup: Enough to scan 50,000 rows","Billed per Row: A row with several numbers costs the same"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Source Text. Output: Extracted Numbers, Extracted Countries, Extracted Number Types and Extracted Carriers.","groups":["Your data","Added by Phone Number Extractor"],"headers":["Source Text","Extracted Numbers","Extracted Countries","Extracted Number Types","Extracted Carriers"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many rows you want to scan and we'll show you the cheapest way to run them.","unitsLabel":"Rows to scan","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Phone Number Extractor costs 0.01 credits per row, so 10,000 rows cost 100 credits and 1,000,000 rows cost 10,000 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a text column and get the phone numbers back in new columns.","steps":[{"label":"Step 1","title":"Import your text","body":"Upload a CSV or Excel file with the text to scan. CRM notes, scraped web pages, support tickets and contact descriptions all work, because the numbers can sit anywhere in the text."},{"label":"Step 2","title":"Set the country and the extras","body":"Add a local phone country when your numbers have no + code, so 06 56 56 67 24 becomes +33 6 56 56 67 24. Switch on Advanced Settings to add country names, the number type and the carrier name."},{"label":"Step 3","title":"Get clean numbers in new columns","body":"Each row returns its numbers in international format, with the country, type and carrier when you ask for them. A row with several numbers returns comma-separated values in the same order."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Names From a Text","description":"Extract all proper nouns from a given text. The extracted names are returned as a comma-separated list.","imageAlt":"Extract Names From a Text"},{"title":"Get Country From Location","description":"Extract country name and ISO2 code from a given location (city, region, etc.).","imageAlt":"Get Country From Location"},{"title":"Split Address Into Parts","description":"Parse a full postal address into structured address parts such as street, city, state, postal code, and country.","imageAlt":"Split Address Into Parts"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Phone Number Extractor with complementary data tools in Datablist.","cards":[{"title":"Phone Number Cleaner","description":"Standardize phone numbers to international format.","imageAlt":"Phone Number Cleaner"},{"title":"Waterfall Phone Finder","description":"Find a phone number from a LinkedIn profile.","imageAlt":"Waterfall Phone Finder"},{"title":"Smart Scraper","description":"Scrape texts, emails and phone numbers from webpages.","imageAlt":"Smart Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about local numbers, number types, carriers and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Phone Number Extractor","description":"Run Datablist's Phone Number Extractor on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Local Phone Countries","Text","The countries setting helps identify phone numbers not written in international format (without +XX). For example, if you add France as a country, a number like 06 56 56 67 24 will be converted to the international format: +33 6 56 56 67 24. Without this setting, only numbers already in international format will be processed."],["Advanced Settings","Boolean","Define country per item, etc."],["Define country per item","Boolean","Turn on this setting to allow overwriting the country for each item using a Country Input."],["Add country names","Boolean","Return the country name for each phone number based on their country code (USA for +1, France for +33, etc.)."],["Add Phone Number type","Boolean","Determine the type of each phone number, such as Mobile, Fixed Line, VoIP, and more."],["Add carrier names","Boolean","Return the carrier name for each phone number when available."]]},{"title":"Inputs","rows":[["Source Text","Text","Text to search for phone numbers."],["Country","Text","Override the default 'Local Phone countries' for this row. Use country ISO 3166-1 alpha-2/alpha-3 codes. Or country name. Ex: FR, FRA, or France."]]},{"title":"Outputs","rows":[["Extracted Numbers","Text","Phones numbers. Comma-separated if several numbers are found."],["Extracted Countries","Text","Country for each phone number. Comma-separated when multiple numbers."],["Extracted Number Types","Text","Number type for each phone number (Fixed, Mobile, etc.). Comma-separated when multiple numbers."],["Extracted Carriers","Text","Carrier name for each phone number when available. Comma-separated when multiple numbers."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]}},"corner":{"title":"Try it for Free","body":"Extract phone numbers, countries and types from text in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Phone Number Extractor"},"EnrichmentPhoneNumberCleaner":{"metadata":{"title":"Phone Number Cleaner - Standardize Phone Numbers to International Format | Datablist","description":"Clean and standardize phone numbers in a CSV or Excel file in bulk. Fix messy formats, add the international code and detect the line type. 0.01 credits per number."},"tabs":["Overview","How to use"],"hero":{"title":"Phone Number Cleaner","description":"Turn messy phone numbers into clean international numbers, with country and line type. Each number costs 0.01 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.01 Credits per Number","Local → International Format","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Phone Number Cleaner standardizes phone numbers to the international format. It fixes messy formats, adds the country code when you set a country, and can return the country and the line type.","cards":[{"title":"What you give","items":["Phone Number: One number per row, local or international","Local Phone Countries: Optional: countries for numbers without a + code","Country per Row: Optional: a Country column that overrides the setting"],"links":["See full input reference"]},{"title":"What you get","items":["Clean Phone Number: The number in international format, empty when it cannot be cleaned","Phone Number Country: Optional: the country detected from the dial code","Phone Number Type: Optional: Mobile, Fixed Line or VoIP"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.01 Credits per Number: 10,000 numbers cost 100 credits","500 Free Credits at Signup: Enough to clean 50,000 numbers","2,000,000 Numbers for $20: A $20 credit pack gives 20,000 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Phone Number. Output: Clean Phone Number, Phone Number Country and Phone Number Type.","groups":["Your data","Added by Phone Number Cleaner"],"headers":["Phone Number","Clean Phone Number","Phone Number Country","Phone Number Type"],"caption":"Illustrative input and output. The 00-prefix example uses a GB country setting.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many phone numbers you want to clean and we'll show you the cheapest way to run them.","unitsLabel":"Phone numbers to clean","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Phone Number Cleaner costs 0.01 credits per number, so 10,000 numbers cost 100 credits and 1,000,000 numbers cost 10,000 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of phone numbers and get clean international numbers back.","steps":[{"label":"Step 1","title":"Import your phone numbers","body":"Upload a CSV or Excel file with one phone number per row. Lists from CRMs, web scraping and sign-up forms usually mix local numbers, international numbers and stray formatting."},{"label":"Step 2","title":"Set the country","body":"Add the country of your contacts in Local Phone Countries so local numbers get their international code, for example 06 12 34 56 78 becomes +33 6 12 34 56 78. Switch on Advanced Settings to add the country name and the number type."},{"label":"Step 3","title":"Get one standard format","body":"Each row returns the number in international format, such as +1 415-555-2671, plus the country and type when you ask for them. Numbers that cannot be cleaned come back empty, so you can filter them out."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Normalize Postal Addresses","description":"Standardize postal addresses effectively, with a consistent format and no unnecessary information.","imageAlt":"Normalize Postal Addresses"},{"title":"Split Address Into Parts","description":"Parse a full postal address into structured address parts such as street, city, state, postal code, and country.","imageAlt":"Split Address Into Parts"},{"title":"Get Country From Location","description":"Extract country name and ISO2 code from a given location (city, region, etc.).","imageAlt":"Get Country From Location"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Phone Number Cleaner with complementary data tools in Datablist.","cards":[{"title":"Phone Number Extractor","description":"Extract phone numbers, type and carrier from text.","imageAlt":"Phone Number Extractor"},{"title":"Waterfall Phone Finder","description":"Find a phone number from a LinkedIn profile.","imageAlt":"Waterfall Phone Finder"},{"title":"Extract Name from Email Address","description":"Get a first and last name from an email address.","imageAlt":"Extract Name from Email Address"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about formats, local numbers, line types and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Phone Number Cleaner","description":"Run Datablist's Phone Number Cleaner on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Local Phone Countries","Text","The countries setting helps associated phone numbers not written in international format (without +XX) to a country. For example, if you add France as a country, a number like 06 56 56 67 24 will be converted to the international format: +33 6 56 56 67 24. The first country that matches the local phone number is used. Without this setting, only numbers already in international format will be cleaned."],["Advanced Settings","Boolean","Enable per row country and extra outputs."],["Define country per item","Boolean","Allow each row to define its own country using an input column."],["Add country names","Boolean","Return the country name for each phone number based on their country code (USA for +1, France for +33, etc.)."],["Add Phone Number type","Boolean","Determine the type of each phone number, such as Mobile, Fixed Line, VoIP, and more."]]},{"title":"Inputs","rows":[["Phone Number","Text","The phone number to clean. Local or international format."],["Country","Text","Override the default 'Local Phone countries' for this row. Use country ISO 3166-1 alpha-2/alpha-3 codes. Or country name. Ex: FR, FRA, or France."]]},{"title":"Outputs","rows":[["Clean Phone Number","Text","The cleaned phone number in international format. Empty if the number cannot be cleaned."],["Phone Number Country","Text","Country detected from the phone number."],["Phone Number Type","Text","Phone type such as Mobile, Fixed Line, or VoIP."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]}},"corner":{"title":"Try it for Free","body":"Clean and standardize phone numbers in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Phone Number Cleaner"},"EnrichmentExtractNameFromEmail":{"metadata":{"title":"Extract Name from Email Address - Get First and Last Names From Emails | Datablist","description":"Extract first and last names from email addresses in a CSV or Excel file in bulk, with confidence levels, country and extraction pattern. 0.05 credits per email."},"tabs":["Overview","How to use"],"hero":{"title":"Extract Name from Email Address","description":"Turn a column of email addresses into first and last names, with a confidence level for each. Each email costs 0.05 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.05 Credits per Email","Confidence Level for Every Name","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Extract Name from Email Address reads each email and returns a first name and a last name. It checks each part against a name database, so it handles first.last, last.first and display-name formats.","cards":[{"title":"What you give","items":["Email: An email address, one per row","Any Common Format: john.smith@, smith.john@, j.smith@ or John Smith <email>","Usernames Work Too: An email handle without the domain is read as well"],"links":["See full input reference"]},{"title":"What you get","items":["First and Last Name: Each one with its own confidence level","Country and Confidence: Where the name is most common, and how much to trust it","Extraction Pattern: The format found, such as {first}.{last}"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.05 Credits per Email: 10,000 emails cost 500 credits","500 Free Credits at Signup: Enough for 10,000 emails","Billed per Item: One credit rate for every email"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Email. Output: 7 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Extract Name from Email Address"],"headers":["Email","First Name","First Name Confidence","Last Name","Last Name Confidence","Country","Country Confidence","Extraction Pattern"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many emails you want to process and we'll show you the cheapest way to run them.","unitsLabel":"Emails to process","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Extract Name from Email Address costs 0.05 credits per item, so 10,000 emails cost 500 credits and 100,000 emails cost 5,000 credits. The estimate counts every email once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of email addresses and get names back in new columns.","steps":[{"label":"Step 1","title":"Import your emails","body":"Upload a CSV or Excel file with one email address per row. Lead lists, exports and scraped files often hold emails without names. Role inboxes such as support@ return no result instead of a made-up name."},{"label":"Step 2","title":"Read the name from the email","body":"Datablist checks each part of the handle against a statistical name database. It does not assume the first part is the first name, so smith.john@ and john.smith@ both return John Smith. It also strips plus tags such as +promo."},{"label":"Step 3","title":"Get names with confidence levels","body":"Each row returns a first name and a last name, each with a High, Medium, Low or Very Low confidence, plus a likely country and the extraction pattern. Rows with no reliable name are marked as no result."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"4 Easy Tactics to Use AI For Cold Email Personalization","imageAlt":"4 Easy Tactics to Use AI For Cold Email Personalization"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"}]}},"corner":{"title":"Try it for Free","body":"Extract first and last names from email addresses in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Extract Name from Email Address"},"EnrichmentNameParser":{"metadata":{"title":"Name Parser - Split Full Names Into First Name, Last Name, Gender and Country | Datablist","description":"Parse full names into first name, last name, title, gender and likely country in bulk from a CSV or Excel file. 0.05 credits per name."},"tabs":["Overview","How to use"],"hero":{"title":"Name Parser","description":"Turn a column of full names into first name, last name, title, gender and country columns. 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It cleans messy values first, and skips values that do not look like a person's name.","cards":[{"title":"What you give","items":["Name: A full name, one per row","Messy Formats Welcome: All caps, last name first, titles and name-like emails","Person Names Only: Company names and generic inboxes are rejected"],"links":["See full input reference"]},{"title":"What you get","items":["Name Parts: First name, middle name, last name and title","Gender and Country: Optional: male or female, and the country where the name is most common","Country Confidence: High, Medium, Low or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.05 Credits per Name: 10,000 names cost 500 credits","Billed per Row Checked: A row the parser cannot validate still costs 0.05 credits","Empty Rows Are Free: Empty inputs use no credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Name. Output: 6 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Name Parser"],"headers":["Name","First Name","Middle Name","Last Name","Title","Country","Country Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many names you want to parse and we'll show you the cheapest way to run them.","unitsLabel":"Names to parse","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Name Parser costs 0.05 credits per row it checks, whether or not a reliable name is found. Empty rows cost nothing, so the estimate is the most you would pay. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of names and get structured name fields back.","steps":[{"label":"Step 1","title":"Import your names","body":"Upload a CSV or Excel file with one name per row. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
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With your own DeepL API key, Datablist does not charge translation credits for those rows. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of text and get the translation back in a new column.","steps":[{"label":"Step 1","title":"Import your spreadsheet","body":"Upload a CSV or Excel file with the text you want to translate. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"}]}},"corner":{"title":"Try it for Free","body":"Translate a spreadsheet column with DeepL in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"DeepL Translate"},"EnrichmentGoogleTranslate":{"metadata":{"title":"Google Translate Connector - Translate a CSV or Excel Column in Bulk | Datablist","description":"Translate a column of text in a CSV or Excel file with Google Translate Connector, in bulk. 109 languages, 35 credits per 1,000 characters."},"tabs":["Overview","How to use"],"hero":{"title":"Google Translate Connector","description":"Translate a spreadsheet column into 109 languages with Google Translate Connector. 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Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of text and get the translation back in a new column.","steps":[{"label":"Step 1","title":"Import your spreadsheet","body":"Upload a CSV or Excel file with the text you want to translate. Product catalogs, customer reviews, support tickets, lead notes and website exports all work. Only the column you choose is translated, so codes and IDs stay as they are."},{"label":"Step 2","title":"Choose your languages","body":"Pick the target language from 109 languages. Leave the source language empty and Google detects it, or set it when your rows are in one known language."},{"label":"Step 3","title":"Get the translation in a new column","body":"Each translation is written to a new column and your original text stays unchanged. Rows with empty source text are marked in the run status, so you can filter them."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Correct Text Grammar","description":"Correct grammatical errors in a given text.","imageAlt":"Correct Text Grammar"},{"title":"Correct Text Capitalization","description":"Ensure proper capitalization (first letter of each sentence and proper nouns) for a given text.","imageAlt":"Correct Text Capitalization"},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract the alternate languages of a page.","imageAlt":"Extract Alternate Languages"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Google Translate Connector with complementary data tools in Datablist.","cards":[{"title":"DeepL Translate","description":"Translate a column with DeepL, formality and context options.","imageAlt":"DeepL Translate"},{"title":"Translate with ChatGPT/OpenAI","description":"Translate text with your own instructions.","imageAlt":"Translate with ChatGPT/OpenAI"},{"title":"Language Detection","description":"Detect the language of each row.","imageAlt":"Language Detection"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about languages, cost, source language and large files.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Google Translate Connector","description":"Run Datablist's Google Translate Connector on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Target Language","Text","The language that you are translating to"],["Source Language","Text","If not specified, will be auto detected"]]},{"title":"Inputs","rows":[["Text to translate","Text","The text to translate."]]},{"title":"Outputs","rows":[["Translated Text","LongText","Translation from Google Traduction"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"}]}},"corner":{"title":"Try it for Free","body":"Translate a spreadsheet column with Google Translate Connector in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Google Translate Connector"},"EnrichmentCompanyEnrichment":{"metadata":{"title":"Company Enrichment - Enrich Company Data in Bulk | Datablist","description":"Enrich company lists with industry, location, size and founded year from a domain or LinkedIn URL. 1 credit per company for basic data, 5 credits for live LinkedIn data."},"tabs":["Overview","How to use"],"hero":{"title":"Company Enrichment","description":"Turn company domains, websites and LinkedIn URLs into clean company data. Choose basic firmographics or live LinkedIn profile fields.","primary":"Enrich 500 companies free","guide":"Check Full Guide","note":"No credit card needed","trust":["From 1 Credit per Company","Basic or Live LinkedIn Data","Enrich 500 Companies Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Company Enrichment starts from one company identifier and returns structured company fields. It runs a company enrichment waterfall, so a domain can be matched to its LinkedIn page before the data is pulled.","cards":[{"title":"What you give","items":["Company Domain: A domain or website, e.g. datablist.com","Or a LinkedIn company URL: Choose it in the Enrich from setting","Data to return: Basic data or live LinkedIn data"],"links":["See full input reference"]},{"title":"What you get","items":["Basic data: Name, industry, size, founded year and location","LinkedIn data: Adds description, tagline, followers, specialities","Status: success, not_found or invalid_data on every row"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["1 Credit per Company: For Basic data","5 Credits per Company: For live LinkedIn data","About $1 per 1,000 Companies: In Basic mode, at 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Domain. Output: Name, Industry, Country, Nb Employees Range and Status.","groups":["Your data","Added by Company Enrichment"],"headers":["Company Domain","Name","Industry","Country","Nb Employees Range","Status"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many companies you need to enrich and we'll show you the cheapest way to enrich them.","unitsLabel":"Companies to enrich","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which data do you need?","modes":["Basic data (1 credit per enriched company)","LinkedIn data (5 credits per enriched company)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Basic data costs 1 credit per enriched company and LinkedIn data costs 5 credits. The estimate charges every company you enter, so a list where some rows come back not found or invalid can cost less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Start from a domain or a LinkedIn URL and end with a complete company record.","steps":[{"label":"Step 1","title":"Upload your companies","body":"Import a CSV or Excel file with one company per row. A domain, a website URL or a LinkedIn company URL works as the identifier."},{"label":"Step 2","title":"Choose the input and the depth","body":"Set Enrich from to a company domain or a LinkedIn URL, then set Data to return. Basic data covers name, industry, location, size and founded year. LinkedIn data adds description, tagline, followers and specialities."},{"label":"Step 3","title":"Map outputs and run","body":"Add the output columns you need, preview a few rows, then run the full list. Keep the Status column so you can filter failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data Extraction","description":"Visit a website and extract company details and its founder.","imageAlt":""},{"title":"Company Enrichment from Name","description":"Find and enrich a company using its name.","imageAlt":""},{"title":"Get Company Sector","description":"Figure out the sector of a company.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"The 5 Best CRM Cleaning and Enrichment Tools (2025)","imageAlt":"The 5 Best CRM Cleaning and Enrichment Tools (2025)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Company Enrichment with complementary data tools in Datablist.","cards":[{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or the reverse.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public information from LinkedIn company pages.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about inputs, data modes, billing and match rates."},"guide":{"hero":{"title":"How to use Datablist's Company Enrichment","description":"Run Datablist's Company Enrichment on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Enrich from","Text","Define what data you already have for the companies. If you want to use several choices, just re-run the enrichment with another value."],["Data to return","Text","Basic data contains industry, location, number of employees, founded year. LinkedIn Data contains live data points from the LinkedIn page."]]},{"title":"Inputs","rows":[["Company Domain","Text","Company website or domain. Ex: datablist.com, www.google.com"]]},{"title":"Outputs","rows":[["Name","Text","Company name"],["LinkedIn Url","Url","Company linkedin url"],["Founded Year","Number","When the company was created"],["Industry","Text","The company industry (ex: health, construction, transportation)"],["City","Text","Headquarter city"],["Region","Text","Headquarter region"],["Country","Text","Headquarter country"],["Nb Employees Range","Text","One of: 1, 2-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10,001+"],["Status","Text","One of: invalid_data, not_found, success"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"The 5 Best CRM Cleaning and Enrichment Tools (2025)","imageAlt":"The 5 Best CRM Cleaning and Enrichment Tools (2025)"}]}},"corner":{"title":"Try it for Free","body":"Enrich companies from a domain or LinkedIn URL. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Company Enrichment","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentImpressumScraper":{"metadata":{"title":"Impressum Scraper - Extract Company Details From German Websites | Datablist","description":"Extract company details from German Impressum pages in bulk: legal name, address, managing director, VAT and registration number. 10 credits per website."},"tabs":["Overview","How to use"],"hero":{"title":"Impressum Scraper","description":"Turn German company websites into legal company details. Datablist finds the Impressum page and extracts the name, address, contacts and managing director.","primary":"Scrape 50 Impressum pages free","guide":"Check Full Guide","note":"No credit card needed","trust":["10 Credits per Website","Extracts Managing Director Details","Scrape 50 Impressum Pages Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Impressum Scraper uses AI to find the Impressum or imprint page on each website, read it and extract structured company details. It stays on the same host and does not use search engines.","cards":[{"title":"What you give","items":["Website: A homepage or root domain, one per row","German Company Sites: Built for German Impressum and imprint pages","Company Websites Only: Avoid social profiles and directory pages"],"links":["See full input reference"]},{"title":"What you get","items":["Managing Director: First name, last name and gender of the managing director or founder","Company Details: Name, postal address, VAT number and registration number","Contacts and Source: Email addresses, phone number, Impressum URL and a confidence score"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["10 Credits per Website: 500 websites cost 5,000 credits","Billed per Website: Each website you run is one extraction","About $0.01 per Website: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Website. Output: 12 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Impressum Scraper"],"headers":["Website","Company Name","Managing Director First Name","Managing Director Last Name","Postal Address","Email Addresses","Phone Number","VAT number","Company Registration Number","Managing Director Gender","Impressum Url","Confidence Score","Error Msg"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many websites you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Websites to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Impressum Scraper costs 10 credits per website, and the estimate charges every website you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add German company websites and get their legal details back.","steps":[{"label":"Step 1","title":"Import your websites","body":"Upload a CSV or Excel file with one website per row. Use homepages or root domains of German company sites, because the AI starts from the website you provide. Remove social profile links and directory pages first."},{"label":"Step 2","title":"AI finds the Impressum","body":"The AI looks for an impressum or imprint page on the same site, checking common paths and legal links in the navigation. It does not use search engines or external links."},{"label":"Step 3","title":"Get legal company details","body":"Each row returns the managing director, company name, address, contacts, VAT and registration numbers, a confidence score and any error. Review important rows before you rely on them. Everything lands in your collection, ready to filter and export."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Impressum Page Scraping","description":"Find the Impressum page for a website and extract company and contact information.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""},{"title":"Company Data Extraction","description":"Visit a website and extract information about the company.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Impressum Scraper with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"Technology Identifier","description":"Find the technology stack of any website.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about Impressum pages, fields, billing and accuracy."},"guide":{"hero":{"title":"How to use Datablist's Impressum Scraper","description":"Run Datablist's Impressum Scraper on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Website","Text","URL of the website to visit"]]},{"title":"Outputs","rows":[["Managing Director First Name","Text","The first name of the Managing Director/Founder. Empty if not found."],["Managing Director Last Name","Text","The last name of the Managing Director/Founder. Empty if not found."],["Managing Director Gender","Text","The gender (male, female) of the Managing Director/Founder. Empty if not found."],["Company Name","Text","The name of the company, when available."],["Postal Address","LongText","The postal address for the company, when available."],["Email Addresses","Text","Email addresses found on the impressum page."],["Phone Number","Text","The company phone number."],["VAT number","Text","The company VAT number."],["Company Registration Number","Text","The company identification number."],["Impressum Url","Url","The link to the impressum page."],["Confidence Score","Number","Confidence score for the results. Between 0 and 100. The higher, the better."],["Error Msg","Text","Agent Error message, if any."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Extract company details from German Impressum pages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Impressum Scraper","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentLinkedInCompanyPageScraper":{"metadata":{"title":"LinkedIn Company Page Scraper - Scrape Company Data in Bulk | Datablist","description":"Scrape public data from LinkedIn company pages in bulk: name, website, industry, size, followers and headquarters. 25 credits per company page."},"tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Company Page Scraper","description":"Turn LinkedIn company page URLs into structured company data: website, industry, size, followers and headquarters, in bulk.","primary":"Scrape 20 company pages free","guide":"Check Full Guide","note":"No credit card needed","trust":["25 Credits per Company Page","17 Output Fields per Company","Scrape 20 Company Pages Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"LinkedIn Company Page Scraper loads each public LinkedIn company page on your list and returns its data as columns. It is useful when you trust LinkedIn more than old CRM data or third-party databases.","cards":[{"title":"What you give","items":["Company LinkedIn Page URL: One per row, in the format linkedin.com/company/name","Numerical Company IDs: URLs with numerical IDs work at the same 25-credit price","Clean URLs: Invalid or unrelated URLs are marked in the status output"],"links":["See full input reference"]},{"title":"What you get","items":["Company Basics: Name, tagline, description, website, industry and specialities","Size and Type: Company type, company size, founded year and follower count","Headquarters: Country, city, address and postal code, plus the logo URL"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Company Page: 500 pages cost 12,500 credits","Same Price for Numerical IDs: Named and numerical company URLs both cost 25 credits","About $0.025 per Page: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company LinkedIn Page URL. Output: 7 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by LinkedIn Company Page Scraper"],"headers":["Company LinkedIn Page URL","Name","Website","Industry","Company Size","Follower Count","Headquarter City","Enrichment Status"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many company pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Company pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which URLs do you have?","modes":["Company URLs with named or numerical IDs (25 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. LinkedIn Company Page Scraper costs 25 credits per company page, whether the URL contains a company name or a numerical ID. The estimate counts every page you enter once at that rate. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add LinkedIn company page URLs and get structured company data back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one LinkedIn company page URL per row, in the format linkedin.com/company/name. Clean the list first, because invalid or unrelated URLs are marked in the status output. Keep your original columns so you can audit the results later."},{"label":"Step 2","title":"Datablist loads each page","body":"The enrichment loads each public company page and parses its data. Run it on a small sample first, then launch the full batch once the columns look right. Each row also gets a status, so failures are easy to spot."},{"label":"Step 3","title":"Get structured company data","body":"Each row gets company fields such as name, website, industry, size, followers and headquarters, plus a status. Fix any bad URLs and rerun only those rows. Everything lands in your Datablist collection, ready to filter and export."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"Company Name to LinkedIn URL","description":"Search for the LinkedIn URL using a company name.","imageAlt":""},{"title":"Company Enrichment from Name","description":"Find and enrich a company using its name.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"How to Extract Names and Details From LinkedIn Profile URLs","imageAlt":"How to Extract Names and Details From LinkedIn Profile URLs"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair LinkedIn Company Page Scraper with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Match company websites and LinkedIn company pages.","imageAlt":""},{"title":"Technology Identifier","description":"Find the technology stack of any website.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about fields, URLs, billing and company data."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Company Page Scraper","description":"Run Datablist's LinkedIn Company Page Scraper on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Company LinkedIn Page URL","Text","URL should be in the format of https://www.linkedin.com/company/xxxx. Numeric company IDs are also supported (example: https://www.linkedin.com/company/1234567890)."]]},{"title":"Outputs","rows":[["Name","Text","The name of the company."],["Tagline","Text","The company's tagline or slogan as displayed on their LinkedIn page. This is a short phrase that describes the company's mission or value proposition."],["Description","Text","Description of the company"],["Website","Url","Company website URL"],["Industry","Text","The industry attribute from the LinkedIn Company profile. Ex: Real Estate."],["Specialities","Text","Comma-separated list of company specialities or focus areas as listed on LinkedIn."],["Company Type","Text","One of: EDUCATIONAL, GOVERNMENT_AGENCY, NON_PROFIT, PARTNERSHIP, PRIVATELY_HELD, PUBLIC_COMPANY, SELF_EMPLOYED, SELF_OWNED"],["Company Size","Number","The size of the company as indicated on LinkedIn."],["Founded Year","Number","The company founded year."],["Follower Count","Number","The number of followers the company has on LinkedIn."],["Logo URL","Url","URL of the company's logo image from LinkedIn."],["Headquarter Country","Text","-"],["Headquarter City","Text","-"],["Headquarter Address","Text","The street address of the company's headquarters (e.g., '1600 Amphitheatre Parkway')."],["Headquarter Postal Code","Text","The postal code or ZIP code of the company's headquarters."],["LinkedIn Internal Id","Text","-"],["Enrichment Status","Text","Return \"found\", \"not_found\", \"bad_format\" or \"missing_data\" (empty LinkedIn Profile URL)"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"How to Extract Names and Details From LinkedIn Profile URLs","imageAlt":"How to Extract Names and Details From LinkedIn Profile URLs"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"}]}},"corner":{"title":"Try it for Free","body":"Scrape public data from LinkedIn company pages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"LinkedIn Company Page Scraper","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentLinkedInProfileFinderFromName":{"metadata":{"title":"LinkedIn Profile Finder from Name - Find LinkedIn URLs in Bulk | Datablist","description":"Find the LinkedIn profile URL for every name in your CSV or Excel file. Add a company or school keyword to improve matches. 2.5 credits per lookup."},"tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Profile Finder from Name","description":"Turn a list of names into LinkedIn profile URLs. Add a keyword like a company for better matches and review each result by confidence.","primary":"Find 200 profiles free","guide":"Check Full Guide","note":"No credit card needed","trust":["2.5 Credits per Lookup","Confidence Level for Every Match","Find 200 Profiles Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"LinkedIn Profile Finder from Name searches Google for a matching public LinkedIn profile for each person in your list. It returns the profile URL, the page title, a summary and a confidence level.","cards":[{"title":"What you give","items":["Name: A Full Name, or a First Name and a Last Name","Keyword: Optional: a company, school, job title or city","Settings: Target Country and Skip if not matching name"],"links":["See full input reference"]},{"title":"What you get","items":["LinkedIn Page: The profile URL when one is found","Page Title and Summary: Role, company and a short abstract from the result","Profile Confidence: High, Medium, Low or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["2.5 Credits per Lookup: 1,000 lookups cost 2,500 credits","Billed per Lookup: Charged whether or not a profile is found","Empty Rows Are Free: Rows with no name cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Full Name and Keyword. Output: LinkedIn Page, LinkedIn Profile Page Title and Profile Confidence.","groups":["Your data","Added by LinkedIn Profile Finder from Name"],"headers":["Full Name","Keyword","LinkedIn Page","LinkedIn Profile Page Title","Profile Confidence"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many names you need to look up and we'll show you the cheapest way to run them.","unitsLabel":"Names to look up","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. LinkedIn Profile Finder from Name costs 2.5 credits per lookup, whether or not a profile is found. Rows with no name cost 0 credits, so the estimate is a ceiling if your file has empty rows. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give Datablist a name and a keyword, and it finds the profile.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with a Full Name column, or separate First Name and Last Name columns. Add a company, school or city column when you have one, because it helps pick the right person."},{"label":"Step 2","title":"Datablist searches for the profile","body":"For each row, Datablist runs a search with the name and your keyword and looks for a matching public LinkedIn profile. Set a target country to focus the results on your region."},{"label":"Step 3","title":"Review matches by confidence","body":"Each row returns the profile URL, page title, summary and a confidence level from High to Very Low. Filter on confidence before outreach and review the weaker matches by hand. Strong matches can go straight into your next enrichment."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Find LinkedIn Profiles From a Name and Company","imageAlt":"How to Find LinkedIn Profiles From a Name and Company"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair LinkedIn Profile Finder from Name with complementary data tools in Datablist.","cards":[{"title":"Waterfall Phone Finder","description":"Find phone numbers from LinkedIn profile URLs.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about matching, confidence, billing and privacy."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Profile Finder from Name","description":"Run Datablist's LinkedIn Profile Finder from Name on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Target Country","Text","Search engine country setting. Default to US."],["Skip if not matching name","Boolean","If checked, will skip LinkedIn URL profile if the name doesn't match exactly. To get more results, keep it unchecked and filter the profiles using the Page Title afterward."]]},{"title":"Inputs","rows":[["Full Name","Text","Prospect Full Name. Map the \"Full Name\" input, or both \"First Name\" and \"Last Name\""],["First Name","Text","Prospect First Name. Map the \"Full Name\" input, or both \"First Name\" and \"Last Name\""],["Last Name","Text","Prospect Last Name. Map the \"Full Name\" input, or both \"First Name\" and \"Last Name\""],["Keyword","Text","Extra keyword to narrow search. Ex: Company Name, School Name, etc."]]},{"title":"Outputs","rows":[["LinkedIn Page","-","LinkedIn page URL when found."],["LinkedIn Profile Page Title","Text","The page title can give you info about the current job position, the company, etc."],["LinkedIn Profile Summary","LongText","Abstract of profile summary when possible."],["Profile Confidence","Text","Confidence level of the match: High, Medium, Low, or Very Low."],["Processed","Boolean","Checkbox property. True if the action has process the item. Useful to avoid calling again on items with no LinkedIn result"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Find LinkedIn Profiles From a Name and Company","imageAlt":"How to Find LinkedIn Profiles From a Name and Company"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]}},"corner":{"title":"Try it for Free","body":"Find LinkedIn profile URLs from names in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"LinkedIn Profile Finder from Name","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentLinksEmailScraper":{"metadata":{"title":"Links & Email Addresses Scraper - Extract Emails, LinkedIn and Instagram Links in Bulk | Datablist","description":"Scrape email addresses, LinkedIn links and Instagram profiles from a list of webpage URLs. 0.10 credits per page, 0.50 with a proxy."},"tabs":["Overview","How to use"],"hero":{"title":"Links & Email Addresses Scraper","description":"Turn a list of webpage URLs into email addresses and LinkedIn and Instagram links. A simple scrape costs 0.10 credits per page.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.10 Credits per Page","Emails and Social Links","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Links & Email Addresses Scraper reads each webpage on your list and returns the email addresses, LinkedIn links and Instagram profiles it finds. It can use a proxy when a site blocks normal requests, and render JavaScript pages.","cards":[{"title":"What you give","items":["URL to Parse: A full URL with http or https, one per row","Proxy and Rendering: Optional: proxy on errors, or render JavaScript pages","Ignore Terms: Optional: skip noisy LinkedIn or Instagram matches"],"links":["See full input reference"]},{"title":"What you get","items":["Email Addresses: A comma-separated list of what is found on the page","Social Links: LinkedIn pages and profiles, and Instagram profiles","Scraping Status: success, unreachable, http_error, invalid_url or empty_url"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 simple pages cost 1,000 credits","0.50 Credits with a Proxy: With proxy fallback you pay it only for pages that need it","2 Credits with Render HTML: For pages rendered by JavaScript"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: URL to parse. Output: Email Addresses, LinkedIn Profiles, Instagram Profiles and Scraping Status.","groups":["Your data","Added by Links & Email Addresses Scraper"],"headers":["URL to parse","Email Addresses","LinkedIn Profiles","Instagram Profiles","Scraping Status"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping mode?","modes":["Basic scraping (0.1 credits per page)","With a proxy (0.5 credits per page)","With Render HTML (2 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Links & Email Addresses Scraper costs 0.10 credits per page for basic scraping, 0.50 credits with a proxy and 2 credits with Render HTML. A cached page costs 0.05 credits. The estimate charges every page you enter once at the rate you select, and cached pages can reduce it. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add webpage URLs and get emails and social links back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one webpage URL per row. Use the full URL with http or https. Homepages, contact pages and team pages usually work better than directory search pages."},{"label":"Step 2","title":"Choose what to extract","body":"Map the URL column and pick the outputs: email addresses, LinkedIn links and Instagram profiles. Turn on the proxy for sites that block normal requests, or Render HTML for pages built with JavaScript."},{"label":"Step 3","title":"Get clean columns back","body":"Each URL returns its results as comma-separated lists, plus a scraping status that separates failures from clean misses. Split the lists into one value per row before outreach, or send them to a deeper enrichment."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Video Links","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Business Number Extractor","description":"Visit a company website and extract its phone number with the source location.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Links & Email Addresses Scraper with complementary data tools in Datablist.","cards":[{"title":"Smart Scraper","description":"Scrape page text, emails and social links in bulk.","imageAlt":""},{"title":"Instagram Profile Scraper","description":"Scrape public Instagram profile data in bulk.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data from LinkedIn profile URLs.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, formats and when to use Smart Scraper."},"guide":{"hero":{"title":"How to use Datablist's Links & Email Addresses Scraper","description":"Run Datablist's Links & Email Addresses Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Proxy when needed","Boolean","Use a proxy to avoid protected pages, bypass rate limit, CAPTCHA, etc. Enrichment Cost is 0.50 credit per scrape with proxy. Disabled by default."],["Proxy Policy","Text","When to enable proxy? Default: Proxy enabled on scraping error."],["Render HTML","Boolean","Render the page in a headless browser before scraping. Use this setting to scrape javascript rendered urls. Enrichment Cost is 2 credits per scrape with this option. Default to false."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."],["Instagram Ignore Terms","Text","Optional. Comma-separated list of terms to filter Instagram results. For example, with the ignore term: \"data\", the instagram https://www.instagram.com/DATAblist/ will be ignored."],["LinkedIn Ignore Terms","Text","Optional. Comma-separated list of terms to filter LinkedIn results. For example, with the ignore term: \"data\", https://www.linkedin.com/company/DATAblist/ will be ignored."],["Scrape Email Addresses in scripts/comments","Boolean","If true, will extract hidden email addresses found in JavaScript code, or comments. Note: You might get debug or irrelevant email addresses. Default to false."]]},{"title":"Inputs","rows":[["URL to parse","-","Full URL with protocol (http/https)."]]},{"title":"Outputs","rows":[["Email Addresses","Text","Comma-separated list of email addresses when found."],["LinkedIn Profiles","Text","Comma-separated list of LinkedIn Pages or Profiles when found."],["Instagram Profiles","Text","Comma-separated list of instagram profiles when found."],["Scraping Status","Text","One of the following: success, unreachable, http_error (error returned from the server), invalid_url, or empty_url"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Extract emails, LinkedIn links and Instagram profiles from webpages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Links & Email Addresses Scraper","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentTechnologyIdentifier":{"metadata":{"title":"Technology Identifier - Find Website Technologies in Bulk | Datablist","description":"Find the technology stack of every website in your CSV or Excel file: CMS, ecommerce, analytics and hosting tools, plus company details. 5 credits per website."},"tabs":["Overview","How to use"],"hero":{"title":"Technology Identifier","description":"Find the technology stack of any website in bulk. See CMS, ecommerce, analytics and hosting tools, plus company details, from a list of domains.","primary":"Check 100 websites free","guide":"Check Full Guide","note":"No credit card needed","trust":["5 Credits per Website","17 Technology Categories Detected","Check 100 Websites Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Technology Identifier analyzes each website on your list and returns the technologies it uses, grouped by category, plus an estimated technology spend and company details found on the site.","cards":[{"title":"What you give","items":["Website URL: A domain or a homepage URL, one per row","Homepages Work Best: Deep links may work, but homepages show more of the stack","No Settings: There is nothing to configure before you run it"],"links":["See full input reference"]},{"title":"What you get","items":["Technologies by Category: 17 groups, including analytics, marketing, servers and security","Technology Spend: Very low, low, medium, high or very high","Company and Contact Details: Name, industry, size, locations, emails and phone numbers found on the site"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["5 Credits per Website: 1,000 websites cost 5,000 credits","Billed per Website: Each website you run is one analysis","About $0.005 per Website: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Website URL. Output: 44 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Technology Identifier"],"headers":["Website URL","Company Name","Industry","Technology Spend","Analytics Technologies","Marketing Technologies","Servers Technologies","Security Technologies","Web development Technologies","Sales Technologies","Communication Technologies","Content Technologies","Business tools Technologies","Privacy Technologies","Utilities Technologies","Responsive","Copyright Year","Add-ons Technologies","Booking Technologies","Location Technologies","Media Technologies","Other Technologies","User generated content Technologies","Inferred Company Name","Meta Title","Meta Description","About Company","LinkedIn","Facebook","Twitter","Instagram","Countries","Languages","Locations","Company Size","Company Type","Founded Year","Total Funding (USD)","Funding Rounds","Employees","Phone Numbers","Email Addresses","Unverified Email Addresses","WhatsApp Numbers","Website"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many websites you want to analyze and we'll show you the cheapest way to run them.","unitsLabel":"Websites to analyze","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Technology Identifier costs 5 credits per website, and the estimate charges every website you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a list of websites and get their technology stack back.","steps":[{"label":"Step 1","title":"Import your websites","body":"Upload a CSV or Excel file with one website per row. A domain or a homepage URL both work, and homepages usually show more of the stack. Remove duplicate domains first so you do not pay twice for the same site."},{"label":"Step 2","title":"Datablist analyzes each site","body":"The enrichment normalizes each URL, resolves a canonical version when needed, and analyzes the site. It detects technologies such as CMS platforms, ecommerce tools, analytics and hosting. It also reads company details, such as the name, industry and size, from the site."},{"label":"Step 3","title":"Filter by what you find","body":"You get technologies grouped by category, an estimated technology spend and company details. Filter the columns to qualify accounts, segment by stack or research competitors. Everything lands in your collection next to your original columns."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data Extraction","description":"Visit a website and extract information about the company.","imageAlt":""},{"title":"B2B or B2C Classifier","description":"Classify a website as B2B or B2C by its primary audience.","imageAlt":""},{"title":"Company Sector Finder","description":"Figure out a company's sector from its website and public data.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How To Find Companies That Use Shopify: The Last Guide You Need","imageAlt":"How To Find Companies That Use Shopify: The Last Guide You Need"},{"title":"What is a Technology Finder (And How It Brings You More Customers)","imageAlt":"What is a Technology Finder (And How It Brings You More Customers)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Technology Identifier with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"Company Name to Domain","description":"Find company websites from company names in a few clicks.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about detection, results and credits."},"guide":{"hero":{"title":"How to use Datablist's Technology Identifier","description":"Run Datablist's Technology Identifier on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Website URL","Url","The website URL (or domain) to analyze."]]},{"title":"Outputs","rows":[["Add-ons Technologies","LongText","List of technologies in the category \"Add-ons\". See https://www.wappalyzer.com/technologies/ to learn more."],["Analytics Technologies","LongText","List of technologies in the category \"Analytics\". See https://www.wappalyzer.com/technologies/ to learn more."],["Booking Technologies","LongText","List of technologies in the category \"Booking\". See https://www.wappalyzer.com/technologies/ to learn more."],["Business tools Technologies","LongText","List of technologies in the category \"Business tools\". See https://www.wappalyzer.com/technologies/ to learn more."],["Communication Technologies","LongText","List of technologies in the category \"Communication\". See https://www.wappalyzer.com/technologies/ to learn more."],["Content Technologies","LongText","List of technologies in the category \"Content\". See https://www.wappalyzer.com/technologies/ to learn more."],["Location Technologies","LongText","List of technologies in the category \"Location\". See https://www.wappalyzer.com/technologies/ to learn more."],["Marketing Technologies","LongText","List of technologies in the category \"Marketing\". See https://www.wappalyzer.com/technologies/ to learn more."],["Media Technologies","LongText","List of technologies in the category \"Media\". See https://www.wappalyzer.com/technologies/ to learn more."],["Other Technologies","LongText","List of technologies in the category \"Other\". See https://www.wappalyzer.com/technologies/ to learn more."],["Privacy Technologies","LongText","List of technologies in the category \"Privacy\". See https://www.wappalyzer.com/technologies/ to learn more."],["Sales Technologies","LongText","List of technologies in the category \"Sales\". See https://www.wappalyzer.com/technologies/ to learn more."],["Security Technologies","LongText","List of technologies in the category \"Security\". See https://www.wappalyzer.com/technologies/ to learn more."],["Servers Technologies","LongText","List of technologies in the category \"Servers\". See https://www.wappalyzer.com/technologies/ to learn more."],["User generated content Technologies","LongText","List of technologies in the category \"User generated content\". See https://www.wappalyzer.com/technologies/ to learn more."],["Utilities Technologies","LongText","List of technologies in the category \"Utilities\". See https://www.wappalyzer.com/technologies/ to learn more."],["Web development Technologies","LongText","List of technologies in the category \"Web development\". See https://www.wappalyzer.com/technologies/ to learn more."],["Technology Spend","Text","Estimated technology spend (very low, low, medium, high or very high)."],["Website","Url","The website's analyzed."],["Company Name","Text","Official company name."],["Inferred Company Name","Text","Company name inferred from website content (best guess)."],["Meta Title","Text","The website's title, as found on the homepage."],["Meta Description","LongText","The website's meta description."],["Responsive","Boolean","Whether the website is responsive"],["Copyright Year","Number","Copyright year extracted from the footer"],["Industry","Text","Company industry, e.g., 'Design'."],["About Company","LongText","Company description."],["LinkedIn","Text","LinkedIn URLs found on the website's contact page."],["Facebook","Text","Facebook URLs found on the website's contact page."],["Twitter","Text","Twitter URLs found on the website's contact page."],["Instagram","Text","Instagram URLs found on the website's contact page."],["Countries","Text","All countries the website was found to serve content from. Derived from business locations, phone numbers, top-level domain and IP address."],["Languages","Text","All languages detected on the website."],["Locations","Text","Business locations."],["Company Size","Text","Number of employees at the company."],["Company Type","Text","The type of company, e.g., 'Public Company' or 'Privately Held'."],["Founded Year","Number","The year the company was founded."],["Total Funding (USD)","Number","The total amount of funding raised, in USD."],["Funding Rounds","Number","The number of funding rounds."],["Employees","Text","Names and titles of people at the company."],["Phone Numbers","Text","Phone numbers found on the website's contact page."],["Email Addresses","Text","Email addresses found on the website's contact page."],["Unverified Email Addresses","Text","Emails found on the website, but not verified. Use with caution."],["WhatsApp Numbers","Text","WhatsApp numbers found on the website's contact page."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How To Find Companies That Use Shopify: The Last Guide You Need","imageAlt":"How To Find Companies That Use Shopify: The Last Guide You Need"},{"title":"What is a Technology Finder (And How It Brings You More Customers)","imageAlt":"What is a Technology Finder (And How It Brings You More Customers)"}]}},"corner":{"title":"Try it for Free","body":"Find the technology stack of any website in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Technology Identifier","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWaterfallEmailVerifier":{"metadata":{"title":"Waterfall Email Verifier - Verify Email Addresses in Bulk | Datablist","description":"Verify email addresses in bulk with a waterfall of verification providers. Get a status, a reason and a suggested fix for every email. 5 credits per deliverability check."},"tabs":["Overview","How to use"],"hero":{"title":"Waterfall Email Verifier","description":"Check every email on your list before you send. Datablist validates the address, then verifies the mailbox across several providers in sequence.","primary":"Verify 100 emails free","guide":"Check Full Guide","note":"No credit card needed","trust":["5 Credits per Deliverability Check","Verifies Mailboxes Across Providers","Verify 100 Emails Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall Email Verifier starts with syntax and domain checks, then verifies that the mailbox exists and can receive email. Catch-all and unknown results move to the next provider in the waterfall.","cards":[{"title":"What you give","items":["Email: One email address per row","Custom Waterfall: Optional: your own providers and API keys","Waterfall Sequence: Optional: the order of your providers"],"links":["See full input reference"]},{"title":"What you get","items":["Email Status: valid, invalid, risky, catch_all or unknown","Reason and Suggested Email: Why the status was given, and a likely typo fix","Segmentation Fields: Free Provider, Role Account, Domain and MX Provider"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["5 Credits per Deliverability Check: 1,000 checks cost up to 5,000 credits","Free on Early Failures: No charge when the check stops on a syntax or domain error","About $0.005 per Check: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Email. Output: 7 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Waterfall Email Verifier"],"headers":["Email","Email Status","Reason","Suggested Email","Free Provider","Role Account","Domain","MX Provider"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many emails you want to verify and we'll show you the cheapest way to run them.","unitsLabel":"Emails to verify","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall Email Verifier costs 5 credits per deliverability check, and nothing when the check stops on a syntax or domain error such as a disposable domain or an invalid format. The estimate charges every email once, so it is a ceiling when part of your list fails the basic checks. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add your email list and get a verdict for every address.","steps":[{"label":"Step 1","title":"Import your emails","body":"Upload a CSV or Excel file with one email address per row. Keep the original column so you can compare it with the results later. Remove blank rows first so you do not waste a check on them."},{"label":"Step 2","title":"Validate, then verify","body":"Datablist checks the format, the domain and the MX records first. Addresses that pass go through deeper mailbox checks across providers such as MillionVerifier, Icypeas, Enrow, Reoon, Findymail, LeadMagic, BulkEmailChecker and QuickEmailVerification, and catch-all or unknown results move on to the next provider."},{"label":"Step 3","title":"Filter by status","body":"Each email gets a status, a reason and, for likely typos, a suggested fix. Keep the valid addresses for outreach and review risky, catch-all and unknown ones separately. Then export the cleaned list to your CRM or sending tool."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Email First Line","description":"Use a person's LinkedIn description to write an email's first line.","imageAlt":""},{"title":"Normalize First and Last Name","description":"Normalize capitalization and formatting of names without changing them.","imageAlt":""},{"title":"Job Change Check","description":"Verify if a prospect is still working at their company.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)","imageAlt":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)"},{"title":"How to Find Emails at Scale With a Waterfall Email Finder","imageAlt":"How to Find Emails at Scale With a Waterfall Email Finder"},{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall Email Verifier with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"Waterfall Personal Email Finder","description":"Find personal email addresses from a LinkedIn profile URL.","imageAlt":""},{"title":"Free Email Validator","description":"Quick syntax and domain checks on your email list.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about statuses, billing and custom providers."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Email Verifier","description":"Run Datablist's Waterfall Email Verifier on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Custom Waterfall","Boolean","Check this setting to customize the Waterfall sequence and use your own API Keys."],["Waterfall Sequence","MultipleValues","Define each provider and configure your API Keys. Catch-All and Unknown emails are passed down to the next email verification provider."]]},{"title":"Inputs","rows":[["Email","-","-"]]},{"title":"Outputs","rows":[["Email Status","Text","One of the following: valid, invalid, risky, catch_all, unknown"],["Reason","Text","Additional info to explain the status. One of the following: Invalid format, Disposable or blacklisted domain, Spam Trap, DNS Error, Missing MX Records, SMTP server error, Mailbox does not exist, Mailbox is disabled, Mailbox full, Timeout error, Email is temporary greylisted"],["Suggested Email","Email","If the address is invalid and we found a likely repaired version"],["Free Provider","Boolean","Return True if the domain is from a free email provider (Gmail, Yahoo, Hotmail, etc.)"],["Role Account","Boolean","Return True if the email address is a role address (support@, team@, etc.)"],["Domain","Text","Return the domain part of the email. After the @. Example: gmail.com"],["MX Provider","Text","Return the email provider. Examples: google, microsoft, ovh, etc."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)","imageAlt":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)"},{"title":"How to Find Emails at Scale With a Waterfall Email Finder","imageAlt":"How to Find Emails at Scale With a Waterfall Email Finder"},{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"}]}},"corner":{"title":"Try it for Free","body":"Verify email addresses in bulk before you send. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Waterfall Email Verifier","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWaterfallPeopleEnrichment":{"metadata":{"title":"Waterfall People Enrichment - Enrich Contacts in Bulk | Datablist","description":"Enrich contacts in bulk from an email, a LinkedIn URL, or a name and company domain. Get up to 58 person and company fields from several data providers. 100 credits per successful enrichment."},"tabs":["Overview","How to use"],"hero":{"title":"Waterfall People Enrichment","description":"Complete your contact records from an email, a LinkedIn URL, or a name and domain. Datablist uses several providers to return person and company data.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["100 Credits per Successful Enrichment","Up to 58 Fields per Contact","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall People Enrichment completes a contact record from the data you already have. It uses several data providers to return up to 58 fields about the person and their company.","cards":[{"title":"What you give","items":["One Starting Point: An email, a LinkedIn profile URL, or a name plus a company domain","Company Domain: Recommended over a company name for better matching","Settings: Enrich from, and Include phone number"],"links":["See full input reference"]},{"title":"What you get","items":["Person Data: Name, email, headline, job title, location and LinkedIn URL","Career and Education: Past jobs, schools, skills and certifications","Company Data: Name, website, industry, size, location and founded year"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["100 Credits per Successful Enrichment: About $0.10 each at 1,000 credits per dollar","300 Credits with a Phone Number: 100 credits when no phone number is found","Email Starts Are Billed on Misses: Enriching from an email also uses credits on unsuccessful requests"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: First Name, Last Name and Company Domain. Output: 58 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Waterfall People Enrichment"],"headers":["First Name","Last Name","Company Domain","Full Name","Email","Job Title","Company Name","Location","LinkedIn URL","Headline","Company Domain","Company Industry","Company Size Range","Other Emails","LinkedIn Member ID","LinkedIn Premium","Open To Work","Profile Picture","LinkedIn Summary","Skills","Job Description","Job Start Date","Job End Date","Title (Experience #2)","Company Name (Experience #2)","Description (Experience #2)","Position 2 Start Date","Position 2 End Date","Title (Experience #3)","Company Name (Experience #3)","Description (Experience #3)","Position 3 Start Date","Position 3 End Date","City","State","Country","Company Website","Company Description","Company LinkedIn URL","Company LinkedIn ID","Company Logo","Company Founded Year","Company Location","Company Estimated Size","School (Current or last education)","Degree (Current or last education)","Field Of Study (Current or last education)","Start Date (Current or last education)","End Date (Current or last education)","School (Education #2)","Degree (Education #2)","Field Of Study (Education #2)","Start Date (Education #2)","End Date (Education #2)","School (Education #3)","Degree (Education #3)","Field Of Study (Education #3)","Start Date (Education #3)","End Date (Education #3)","Certifications","Processed"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many contacts you want to enrich and we'll show you the cheapest way to run them.","unitsLabel":"Contacts to enrich","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which data do you need?","modes":["Person and company data (100 credits per successful enrichment)","With a phone number (300 credits per enrichment that includes a number)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall People Enrichment costs 100 credits per successful enrichment, or 300 credits for each enrichment that includes a phone number (100 when no number is found). Enriching from an email also uses credits on unsuccessful requests. The estimate charges every contact you enter once at the rate you pick, so it is a ceiling when some lookups fail. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Start from what you have and get a full contact profile back.","steps":[{"label":"Step 1","title":"Import your contacts","body":"Upload a CSV or Excel file with an email address, a LinkedIn profile URL, or a name and company domain for each contact. A domain is more accurate than a company name. Keep your source columns so you can audit the results and rerun failed rows."},{"label":"Step 2","title":"Pick what you start from","body":"Choose Enrich from to match your data, then map your columns. Tick Include phone number if you also want a number. To use another starting point, run the enrichment again with a different choice."},{"label":"Step 3","title":"Get person and company data","body":"Datablist queries several providers and returns up to 58 fields, from name, email and job title to company size and industry. Billing depends on your starting point, as shown above. Everything lands in your collection next to your original columns."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Email First Line","description":"Use a person's LinkedIn description to write an email's first line.","imageAlt":""},{"title":"Decision Maker Flag","description":"Determine if a person is likely a decision maker from their job title.","imageAlt":""},{"title":"Extract Seniority","description":"Extract a standardized seniority level from a job title.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall People Enrichment with complementary data tools in Datablist.","cards":[{"title":"Waterfall Phone Finder","description":"Find phone numbers from LinkedIn profile URLs.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about inputs, data, billing and coverage."},"guide":{"hero":{"title":"How to use Datablist's Waterfall People Enrichment","description":"Run Datablist's Waterfall People Enrichment on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Enrich from","Text","Define what data your already have for your contacts. If you want to use several choices, just re-run the enrichment with another value."],["Include phone number","Boolean","If checked, the cost is 300 credits for each enrichment that includes a phone number. 100 credits when no phone number is found."]]},{"title":"Inputs","rows":[["First Name","Text","Person's first name. Ex: Tim"],["Last Name","Text","Person's last name. Ex: Zheng"],["Full Name","Text","Person's full name (if you don't have the first name and last name splitted). Ex: Tim Zheng. We recommand to use First Name and Last Name fields instead for better results."],["Company Domain","Text","Person's company domain (optional). Ex: datablist.com. Recommended over just the company name."],["Company Name","Text","Person's company name (optional). Ex: Datablist"]]},{"title":"Outputs","rows":[["Full Name","Text","Person's full name."],["Email","Email","Person's email"],["Other Emails","Text","Additional email addresses found for the profile, comma-separated."],["LinkedIn URL","Url","Person's LinkedIn url."],["LinkedIn Member ID","Text","The numeric LinkedIn member ID for the profile."],["LinkedIn Premium","Boolean","True if the person has LinkedIn Premium"],["Open To Work","Boolean","Whether the profile is open to work."],["Profile Picture","Url","LinkedIn profile picture URL."],["Headline","Text","Person's Profile Headline. Ex: Co-chair, Bill & Melinda Gates Foundation"],["LinkedIn Summary","LongText","The profile summary text."],["Skills","Text","Skills listed on the LinkedIn profile, comma-separated."],["Job Title","Text","Person's job title. Ex: Sales Executive, CEO, etc."],["Job Description","LongText","Description of the current or last experience."],["Job Start Date","Text","Person's current job start date. In format: YYYY-MM-DD"],["Job End Date","Text","End date of the current or last experience, when available. In format: YYYY-MM-DD."],["Title (Experience #2)","Text","Second position from the LinkedIn profile."],["Company Name (Experience #2)","Text","Company name from the second most recent work experience."],["Description (Experience #2)","LongText","Description of the second most recent work experience."],["Position 2 Start Date","Text","Start date of the second position."],["Position 2 End Date","Text","End date of the second position."],["Title (Experience #3)","Text","Third position from the LinkedIn profile."],["Company Name (Experience #3)","Text","Company name from the third most recent work experience."],["Description (Experience #3)","LongText","Description of the third most recent work experience."],["Position 3 Start Date","Text","Start date of the third position."],["Position 3 End Date","Text","End date of the third position."],["Location","Text","Person's location info on LinkedIn. Mostly 'City, State, Country'"],["City","Text","Parsed City from location info."],["State","Text","Parsed State from location info."],["Country","Text","Parsed Country from location info."],["Company Name","Text","Person's company name."],["Company Website","Url","Person's company website."],["Company Domain","Text","Person's company domain."],["Company Description","LongText","Person's company description."],["Company LinkedIn URL","Url","Person's company LinkedIn url."],["Company LinkedIn ID","Text","The company LinkedIn ID, when available."],["Company Logo","Url","The company logo URL, when available."],["Company Founded Year","Number","Person's company founded year."],["Company Location","Text","Person's company location."],["Company Industry","Text","Person's company industry."],["Company Size Range","Text","Person's company employees size range. Can be a range (ex: 1001-5000), or just 10001+ for companies with more than 10k employees."],["Company Estimated Size","Number","Person's company estimated number of employees (number)."],["School (Current or last education)","Text","Most recent education from the LinkedIn profile."],["Degree (Current or last education)","Text","Degree from the most recent education."],["Field Of Study (Current or last education)","Text","Field of study from the most recent education."],["Start Date (Current or last education)","Text","Start date of the most recent education."],["End Date (Current or last education)","Text","End date of the most recent education."],["School (Education #2)","Text","Second education from the LinkedIn profile."],["Degree (Education #2)","Text","Degree from the second education."],["Field Of Study (Education #2)","Text","Field of study from the second education."],["Start Date (Education #2)","Text","Start date of the second education."],["End Date (Education #2)","Text","End date of the second education."],["School (Education #3)","Text","Third education from the LinkedIn profile."],["Degree (Education #3)","Text","Degree from the third education."],["Field Of Study (Education #3)","Text","Field of study from the third education."],["Start Date (Education #3)","Text","Start date of the third education."],["End Date (Education #3)","Text","End date of the third education."],["Certifications","Text","Certification names listed on the LinkedIn profile, comma-separated."],["Processed","Boolean","Checkbox flag to track if an item has been processed by this enrichment."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]}},"corner":{"title":"Try it for Free","body":"Enrich contacts from an email, a LinkedIn URL or a name and domain. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Waterfall People Enrichment","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWaterfallPeopleSearch":{"metadata":{"title":"Waterfall People Search - Find Leads at Companies in Bulk | Datablist","description":"Find leads at the companies on your list by company domain. Filter by job title, seniority and country. 30 credits for a preview, 100 for a full profile with email, nothing for no result."},"tabs":["Overview","How to use"],"hero":{"title":"Waterfall People Search","description":"Go from a list of company domains to the right contacts. Filter by job title, seniority and country, and pay nothing when there is no result.","primary":"Preview 16 leads free","guide":"Check Full Guide","note":"No credit card needed","trust":["From 30 Credits per Lead","Up to 3 Leads per Company","Preview 16 Leads Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall People Search finds leads at each company domain on your list. It tries your first search, falls back to up to two more, and returns profile data, with a work email in full mode.","cards":[{"title":"What you give","items":["Company Domain: A domain or website, one per row","Search Filters: Job titles, departments, seniority and keywords","Settings: Lead Country, contacts per search, results type and cache age"],"links":["See full input reference"]},{"title":"What you get","items":["Contact Details: First name, last name, full name and LinkedIn URL","Role and Location: Job title, start date, seniority, city, region and country","Email and Company: Work email in full mode, the company LinkedIn page and a search status"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["30 Credits for a Preview: Basic profile data without email, per lead","100 Credits for Full Data: A full profile with work email, per lead","No Charge for No Result: When a search finds nothing you pay nothing"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company domain. Output: 14 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Waterfall People Search"],"headers":["Company domain","Full Name #1","Job Title #1","Work Email Address #1","Seniority #1","LinkedIn URL #1","City #1","Country #1","First Name #1","Last Name #1","LinkedIn Summary #1","Job Start Date #1","Region #1","Company LinkedIn Page #1","Search Status"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all 15 columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many leads you want to find and we'll show you the cheapest way to get them.","unitsLabel":"Leads to find","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which results type?","modes":["Full profile with email (100 credits per lead)","Preview without email (30 credits per lead)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall People Search costs 30 credits per lead for preview data and 100 credits per lead for a full profile with work email, and nothing when no result is found. The estimate assumes every lead you enter is found, so your real cost is lower when some searches return no result. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add company domains and get the right contacts at each one.","steps":[{"label":"Step 1","title":"Import your companies","body":"Upload a CSV or Excel file with one company domain or website per row. If you only have company names, run Company Name to Domain first, because a domain gives the search a precise starting point."},{"label":"Step 2","title":"Define your searches","body":"Add job title, seniority and keyword filters. Datablist runs Search #1 first and falls back to Search #2 and Search #3 when it finds nothing, so you can start tight and then widen the search."},{"label":"Step 3","title":"Get leads at each company","body":"Each company returns up to three leads with name, LinkedIn URL, job title, seniority and location, plus a work email in full mode. A search with no match costs nothing."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""},{"title":"Decision Maker Flag","description":"Determine if a person is likely a decision maker from their job title.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"How To Get a Full Lead List From LinkedIn in 2026 (Emails Included)","imageAlt":"How To Get a Full Lead List From LinkedIn in 2026 (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall People Search with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email, a LinkedIn URL or a name and domain.","imageAlt":""},{"title":"Company Name to Domain","description":"Find company websites from company names in a few clicks.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about filters, fallbacks, billing and coverage."},"guide":{"hero":{"title":"How to use Datablist's Waterfall People Search","description":"Run Datablist's Waterfall People Search on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Lead Country (recommended)","Text","A Country filter to narrow the search. The country filter applies to the people, not the companies. The companies headquarters can be in other countries."],["Number of persons returned per search","Number","Default to 1. Max 3."],["Results Type","Text","The preview type returns only basic profile information. Preview Profile without email: 30/lead. Full Profile with email (default): 100/lead."],["Allowed Cache Age","Text","Results are cached to avoid paying multiple times for the same search. Configure the cache limit here. Default to 30 days."],["Waterfall Searches","MultipleValues","Datablist will search using Search #1 criterias. If no result, it will use Search #2 criterias, etc. You can define up to 3 fallbacks"]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain or website. Ex: google.com, https://www.hubspot.com/. Note: Use the Find Company domains from Company names enrichment if you only have company names."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","-"],["Job Start Date #1","Text","-"],["Work Email Address #1","Email","-"],["Seniority #1","Text","One of: owner, cxo, vp, director, manager, senior, entry, intern."],["City #1","Text","-"],["Region #1","Text","-"],["Country #1","Text","-"],["Company LinkedIn Page #1","Url","-"],["Search Status","Text","One of: found, no_result, missing_data, error"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"How To Get a Full Lead List From LinkedIn in 2026 (Emails Included)","imageAlt":"How To Get a Full Lead List From LinkedIn in 2026 (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find leads at the companies on your list by company domain. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Waterfall People Search","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWebsiteStatusChecker":{"metadata":{"title":"Website Status & Parked Domain Checker - Find Dead, Redirected and Parked Websites | Datablist","description":"Check if websites are online, dead, redirected or parked in bulk, and capture the final URL. 0.20 credits per check, 0.60 with a proxy."},"tabs":["Overview","How to use"],"hero":{"title":"Website Status & Parked Domain Checker","description":"Turn a list of website URLs into online, redirected, parked or unreachable statuses, with the final URL for each. A check costs 0.20 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.20 Credits per Check","Detects Parked Domains","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Website Status & Parked Domain Checker visits each URL and reports whether the site is online, redirected, parked or unreachable. It follows redirects to capture the final URL, and retries with a proxy when a site blocks the first check.","cards":[{"title":"What you give","items":["Website URL: A homepage or a deep link, one per row","Proxy Policy: Optional: when to retry with a proxy","Cache Setting: Optional: skip cached results for a fresh check"],"links":["See full input reference"]},{"title":"What you get","items":["Website Status: Online, Redirected, Parked or Unreachable","HTTP Status Code and Final URL: The raw response code and where the redirects end","Page Title and Error Message: The HTML title, and the technical reason when a check fails"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.20 Credits per Check: 10,000 checks cost 2,000 credits","0.60 Credits with a Proxy: Applied only when a site blocks the standard check","0.05 Credits for Cached URLs: Pages cached in the last 7 days"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Website Url. Output: Website Status, HTTP Status Code, Final URL, Page Title and Error Message.","groups":["Your data","Added by Website Status & Parked Domain Checker"],"headers":["Website Url","Website Status","HTTP Status Code","Final URL","Page Title","Error Message"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many websites you want to check and we'll show you the cheapest way to run them.","unitsLabel":"Websites to check","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which check?","modes":["Standard check (0.2 credits per website)","With a proxy retry (0.6 credits per website)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Website Status & Parked Domain Checker costs 0.20 credits per check, and 0.60 credits when a protected site needs a proxy retry. A cached URL costs 0.05 credits. The estimate charges every website you enter once at the rate you select, and assumes unreachable sites are charged too, because the cost line does not say otherwise. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add website URLs and get a status for each one.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one website URL per row. You can check a homepage such as example.com or a specific page. Old CRM exports and scraped lists are the best candidates."},{"label":"Step 2","title":"Run the check","body":"Map the URL column and choose the proxy policy. When a site blocks the standard check, Datablist retries through a proxy, so protected sites do not show up as false errors. A parked domain is flagged even when its page returns 200 OK."},{"label":"Step 3","title":"Get a status for every row","body":"Each row returns Online, Redirected, Parked or Unreachable, plus the HTTP status code, the final URL and the page title. When a check fails, the error message says why. Filter out Parked and Unreachable rows, or update redirected rows with the final URL."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Extract Video Links","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Business Number Extractor","description":"Visit a company website and extract its phone number with the source location.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Website Status & Parked Domain Checker with complementary data tools in Datablist.","cards":[{"title":"Fetch Meta Data from URLs","description":"Pull page titles and meta tags from a list of URLs.","imageAlt":""},{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"Technology Identifier","description":"Find the technology stack of any website.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about statuses, parked domains, proxies and cost."},"guide":{"hero":{"title":"How to use Datablist's Website Status & Parked Domain Checker","description":"Run Datablist's Website Status & Parked Domain Checker on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Proxy Policy","Text","When to enable proxy? Default: Proxy enabled on scraping error."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."]]},{"title":"Inputs","rows":[["Website Url","-","The website url to fetch meta information"]]},{"title":"Outputs","rows":[["Website Status","Text","Online: Website is accessible and functioning. Redirected: Domain changed (e.g., company.com to newcompany.com). Parked: Domain is for sale or placeholder page. Unreachable: Connection failed, DNS error, or server down."],["HTTP Status Code","Number","Raw response code (e.g., 200, 301, 404, 503)"],["Final URL","Url","Destination URL after following redirections"],["Page Title","LongText","Text inside the HTML tag"],["Error Message","LongText","Technical description if the check fails"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"}]}},"corner":{"title":"Try it for Free","body":"Check if websites are online, redirected or parked in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Website Status & Parked Domain Checker","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentCompanyNameToDomain":{"metadata":{"title":"Firmanavn til domene – finn firmadomener i bulk | Datablist","description":"Gjør en liste med firmanavn om til verifiserte domener i bulk. 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Navnene og selskapene er fiktive, og resultatene dine vil variere.","footer":""},"calculator":{"eyebrow":"Kalkulator","title":"Hvor mye vil det koste?","description":"Fortell oss hvor mange firmanavn du må slå opp, så viser vi deg den rimeligste måten å gjøre det på.","unitsLabel":"Firmanavn som skal slås opp","workflowLabel":"Hvilken workflow?","workflows":["Kun firmadatasett (1 kreditt per treff)","Datasett, deretter Google som reserve (2,5 kreditter per Google-oppslag)"],"matchRateLabel":"Andel navn du forventer at databasen finner treff for","needsLabel":"Har du også behov for å:","needs":["Kjøre dette via API / MCP","Konfigurere automatisert databerikelse"],"resultLabels":["Anbefalt abonnement","Ekstra kreditter","Kreditter du vil ha"],"totalLabel":"Totalt denne måneden","cta":"Prøv gratis","note":"Krever ikke betalingskort","pricingLink":"Se priser","creditsTitle":"Slik fungerer kreditter","creditsBody":"1 000 kreditter = $1, så hver kreditt koster en tidels cent. Et databasetreff koster 1 kreditt og belastes bare når et domene blir funnet. Et Google-oppslag som reserve koster 2,5 kreditter og belastes uansett resultat. Derfor er fordelingen mellom de to avgjørende for regningen. Treffprosenten ovenfor er ditt estimat, ikke et tall fra Datablist: Kjør først et utvalg på noen hundre navn, og angi den ut fra de faktiske resultatene. Google-resultater mellomlagres i 48 timer. Hvis du endrer en innstilling og kjører på nytt innenfor dette tidsrommet, koster det 1 kreditt per rad i stedet for 2,5. Kreditter som inngår i abonnementet, fornyes månedlig og nullstilles hvis de ikke brukes. 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Uryddige navn går fint. Hvis listen dekker flere land, legger du til en landkolonne, så bruker Datablist den til å avgrense hvert treff."},{"label":"Trinn 2","title":"Databaser først, deretter Google","body":"Datablist sammenligner navnene dine med kuraterte firmadatasett. Det er raskt og koster 1 kreditt per treff. Navn som ikke finnes i datasettene, sendes videre til et direkte Google-søk som hopper over kataloger og sosiale nettverk."},{"label":"Trinn 3","title":"Hvert treff får et sikkerhetsnivå","body":"Hver rad returneres med høy, middels, lav eller svært lav sikkerhet. Godta de med høy sikkerhet automatisk, gjennomgå de i midten, og send resten til AI Agent med ekstra kontekst."}]},"customers":{"title":"Valgt av raskt voksende startups og Fortune 500-team","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Slutt å gjøre manuelt det Datablist kan gjøre på sekunder","body":"Prøv Datablist og se hvor enkelt det kan være å automatisere en workflow. 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Et databasetreff koster 1 kreditt og belastes bare når et domene blir funnet, så 500 vellykkede treff koster omtrent 500 kreditter. Et Google-oppslag som reserve koster 2,5 kreditter og belastes uansett om det finner noe. Bruk kalkulatoren ovenfor til å beregne din egen fordeling."},{"question":"Hva forteller poengsummen for domenesikkerhet meg?","answer":"Hvor sikker Datablist er på at dette domenet tilhører det aktuelle navnet. Resultatet oppgis som høy, middels, lav eller svært lav. Hensikten er å prioritere i stor skala: Godta høy automatisk, vurder middels før du bruker treffet videre, og send lav og svært lav til en sikrere metode fremfor å sende email til dem."},{"question":"Hvordan håndterer dere tvetydige navn som «Dove» eller «United»?","answer":"Et navn uten kontekst er reelt tvetydig, og ingen oppslagstjeneste kan avgjøre det alene. To ting hjelper. Angi et målkland per liste eller per rad for å redusere antallet kandidater. For navnene som fortsatt gjenstår, kjører du AI Agent med ekstra kontekst, for eksempel by, bransje eller beskrivelse. Den vil vurdere hvilket treff som passer."},{"question":"Hva skjer når et oppslag ikke gir noe resultat?","answer":"Status returneres som not_found, eller som empty_name hvis inndatacellen var tom. Filtrer visningen til disse radene og prøv på nytt: Legg til et land, slå på Google som reserve hvis du bare brukte databaser, eller flytt dem til AI Agent med mer kontekst."},{"question":"Hvorfor får jeg katalogsider i stedet for selskapenes nettsteder?","answer":"Som standard hopper Datablist over URL-er som ikke er rotdomener, kjente kataloger som Crunchbase og sosiale nettverk som LinkedIn og Facebook når Google-resultatene vurderes. Hvis en bransjespesifikk katalog fortsatt slipper gjennom, legger du den til under «Hopp over følgende domener». Den blir da ekskludert sammen med standardvalgene."},{"question":"Kan jeg angi et forskjellig målkland for hver rad?","answer":"Ja. Slå på «Angi målkland per element», så vises et inndatafelt for målkland som du kobler til en kolonne. Godkjente formater er ISO 3166-koder (FR, USA) eller hele det engelske navnet (Portugal). Rader med manglende eller ugyldig land bruker den globale innstillingen for målkland."},{"question":"Belastes jeg to ganger hvis jeg kjører databerikelsen på nytt?","answer":"Ikke for Google. Disse resultatene mellomlagres i 48 timer. Hvis du endrer en innstilling og kjører på nytt innenfor dette tidsrommet, koster raden 1 kreditt i stedet for 2,5. For å unngå å behandle rader du allerede har løst, filtrerer du visningen til radene der domenet er tomt, og kjører på alle elementene i visningen."},{"question":"Hva bør jeg gjøre etter at jeg har domenene?","answer":"Domenet åpner for resten av stacken. Firmaberikelse legger til bransje, størrelse, sted og stiftelsesår. Waterfall Email Finder bruker et navn og domenet til å returnere en verifisert email-adresse. Teknologiberikelse leser stacken fra nettstedet."}]},"related":{"eyebrow":"Integrasjoner","title":"Relatert databerikelse","description":"Kombiner Company Domain Finder med supplerende dataverktøy i Datablist.","cards":[{"title":"Firmaberikelse","description":"Gjør et domene om til bransje, størrelse, sted og stiftelsesår.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Bruk domenet sammen med et navn for å finne en verifisert email-adresse.","imageAlt":""},{"title":"Opprydding av firmanavn","description":"Fjern LLC og Inc, og korriger bruk av store og små bokstaver før du kjører oppslaget.","imageAlt":""}],"action":"Se all databerikelse"},"free":{"eyebrow":"Gratisverktøy","title":"Prøv gratis først","description":"Gratisversjoner av relaterte verktøy som du kan prøve på noen få rader før du skalerer opp.","cards":[{"title":"Gratis domenesøk","description":"Lim inn firmanavn og finn nettstedene deres. 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Etter veiledningen finner du en oversikt over innstillingene og svar på vanlige spørsmål.","trust":["Enkelt å bruke","Ingen teknisk konfigurasjon","Helt uten kode"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Gå til en del","items":["Trinnvis veiledning","Oversikt over innstillinger","Relaterte artikler","Ofte stilte spørsmål"]},"title":"Trinnvis veiledning","reference":{"title":"Oversikt over innstillinger","description":"En oversikt over alle innstillinger, inndata og utdata. Den trinnvise veiledningen ovenfor dekker alt du trenger for å komme i gang.","groups":[{"title":"Innstillinger","rows":[["Workflow","Valg","Bruk bare firmadatasettet, eller la Datablist kjøre et Google-søk på navnene datasettet ikke finner"],["Målkland","Tekst","Avgrens søket til ett land. Filtrerer datasettet og angir landet for Google"],["Angi målkland per element","Avmerkingsboks","Legger til et inndatafelt for målkland, slik at du kan angi landet per rad"],["Godta nettsteder som ikke er rotdomener","Avmerkingsboks","Tillat resultater som ikke er rotdomener, for eksempel en firmaside på en hostingplattform"],["Hopp over følgende domener","Lang tekst","Kommaseparerte domener som skal ekskluderes i tillegg til den innebygde listen over kataloger og sosiale nettverk"],["Behandle bare mellomlagrede Google-resultater","Avmerkingsboks","Gjenbruk bare lagrede Google-resultater, ikke utfør nye direkte søk, og hopp over datasettresultater"]]},{"title":"Inndata","rows":[["Firmanavn","Tekst","Navnet på selskapet som skal slås opp, f.eks. google"],["Målkland","Tekst","Vises bare når «Angi målkland per element» er aktivert. ISO 3166-kode eller engelsk navn"]]},{"title":"Utdata","rows":[["Firmadomene","Tekst","Selskapets domene, f.eks. google.com, når et domene blir funnet"],["Full firma-URL","URL","Selskapets fullstendige URL, f.eks. https://www.google.com, når en URL blir funnet"],["Domenesikkerhet","Tekst","Hvor sterkt treffet er: høy, middels, lav eller svært lav"],["Status","Tekst","Én av success, not_found eller empty_name"]]}]},"cta":{"title":"Slutt å gjøre manuelt det Datablist kan gjøre på sekunder","body":"Prøv Datablist og se hvor enkelt det kan være å automatisere en workflow. Over 38 000 brukere har allerede erfart det!","label":"Snakk med oss"},"articles":{"title":"Relaterte artikler","cards":[{"title":"Firmanavn til domene: 3 metoder for bulksøk","imageAlt":"Firmanavn til domene: 3 metoder for bulksøk"},{"title":"Finn selskapenes nettsteder ut fra firmanavn","imageAlt":"Finn selskapenes nettsteder ut fra firmanavn"},{"title":"Slik beriker du firmadata basert på firmanavn","imageAlt":"Slik beriker du firmadata basert på firmanavn"}]},"steps":[{"title":"Trinn 1: Registrer deg og last opp dataene dine","paragraphs":["Registrer deg først på <a href=\"signup\">Datablist.com</a>","Deretter laster du opp CSV- eller Excel-filen som inneholder listen over firmanavn"],"imageAlts":["Firmanavn til domene – registrer deg","Firmanavn til domene – last opp firmalisten din"]},{"title":"Trinn 2: Åpne databerikelsen Finn firmadomener","paragraphs":["1. Klikk på Berik i toppmenyen","2. Åpne fanen Selskaper","3. Velg Finn firmadomene fra firmanavn."],"imageAlts":["Firmanavn til domene – bibliotek for databerikelse"]},{"title":"Trinn 3: Konfigurer workflowen","paragraphs":["Under Workflow velger du «Bruk bare firmadatasettet». Dette er den rimeligste metoden og koster 1 kreditt per domene som blir funnet.","Angi Målkland, eller merk av for Angi målkland per element hvis hver rad har sin egen landkolonne.","For å dekke navnene datasettet ikke finner, velger du i stedet Google-workflowen. Datablist utfører da et direkte søk på de gjenværende navnene. Det koster 2,5 kreditter per oppslag og belastes uansett om et domene blir funnet."],"imageAlts":["Firmanavn til domene – innstillinger for database-workflow","Firmanavn til domene – innstilling for Google-workflow"]},{"title":"Trinn 4: Koble kolonnen med firmanavn","paragraphs":["1. Angi kolonnen som inneholder firmanavnene, som Inndataegenskap","2. Klikk på Fortsett til konfigurasjon av utdata"],"imageAlts":["Firmanavn til domene – koble inndatakolonnen"]},{"title":"Trinn 5: Velg domeneutdata","paragraphs":["1. Bruk ⊕-ikonene eller Legg til alle de 3 utdataene i samlingen for å legge utdataene til i samlingen.","2. Klikk på Kjør nå","Behold Domenesikkerhet og Status. De lar deg prioritere resultatene etter kjøringen, i stedet for å stole like mye på hver rad."],"imageAlts":["Firmanavn til domene – konfigurasjon av utdata"]},{"title":"Trinn 6: Kjør databerikelsen i bulk","paragraphs":["Til slutt konfigurerer du kjøringsinnstillingene ved å klikke på vinkeltegnet på høyre side av knappen. Da kan du velge mellom følgende alternativer:","• Kjør på de første 10 elementene: Nyttig for å kontrollere resultatene før du fortsetter","• Kjør på de første 100 elementene: Nyttig hvis du vil validere større utvalg","• Kjør på de første {X} elementene: Lar deg velge hvor mange elementer du vil behandle","• Kjør på alle elementene i visningen: Behandle hele listen din (eller visningen hvis du har aktivert filtre)","Når du har valgt ønsket alternativ, klikker du på Kjør på X elementer","I løpet av få minutter har du en kolonne med verifiserte domener ved siden av firmanavnene, klare for neste databerikelse.","Sorter eller filtrer etter Domenesikkerhet, og send deretter radene med lav, svært lav og not_found til AI Agent med ekstra kontekst, for eksempel en by eller bransje."],"imageAlts":["Firmanavn til domene – kjøringsinnstillinger","Firmanavn til domene – kjøring av nettstedssøk","Firmanavn til domene – databaseresultater","Firmanavn til domene – resultater fra AI Agent"]}],"faq":{"title":"Ofte stilte spørsmål","items":[{"question":"Hva er forskjellen mellom de to workflow-alternativene?","answer":"Alternativet med bare firmadatasettet sammenligner navnene dine med kuraterte datasett som kobler navn til domener. Det er den raske metoden, koster 1 kreditt og belastes bare ved treff. Det andre alternativet legger til et direkte Google-søk for navnene datasettet ikke fant. Det koster 2,5 kreditter per oppslag og belastes uansett om et domene blir funnet."},{"question":"Hvilket domene får jeg når flere domener samsvarer med et navn?","answer":"Det med mest trafikk. Hvis dette ikke er ønsket, er avgrensning etter målkland det mest effektive grepet, siden det filtrerer datasettet før det i det hele tatt blir nødvendig å velge mellom like treff."},{"question":"Hva gjør «Godta nettsteder som ikke er rotdomener»?","answer":"Som standard avviser Datablist Google-resultater som ikke er rotdomener. Det holder katalogsider som directory.com/mycompany ute av listen din. Ulempen er at du også kan gå glipp av ekte selskaper med nettsteder på en plattform, for eksempel hostingplatform.com/mycompanypage. Slå på innstillingen når listen din inneholder mange små bedrifter."},{"question":"Hvordan påvirker Googles mellomlagring i 48 timer kredittene mine?","answer":"Datablist mellomlagrer Google-søkeresultater i 48 timer. Hvis du endrer «Godta nettsteder som ikke er rotdomener» eller «Hopp over følgende domener» og kjører på nytt innenfor dette tidsrommet, hentes resultatene fra mellomlageret og koster 1 kreditt per rad i stedet for 2,5. Dermed blir det rimelig å finjustere disse to innstillingene."},{"question":"Hva brukes «Behandle bare mellomlagrede Google-resultater» til?","answer":"Det begrenser kjøringen til Google-resultater du allerede har betalt for, og hopper helt over datasettresultater. Bruk det til å vurdere en tidligere kjøring på nytt med andre innstillinger uten å betale for nye direkte søk."},{"question":"Hvilke landformater godtar Målkland?","answer":"ISO 3166 Alpha-2-koder som FR, Alpha-3-koder som USA eller hele det engelske navnet, som Portugal. Når landet på en rad mangler eller er ugyldig, bruker Datablist den globale innstillingen for målkland."},{"question":"Hvordan kjører jeg bare radene som mislyktes, på nytt?","answer":"Filtrer visningen etter Status, eller etter Domenesikkerhet for svake treff, og velg deretter «Kjør på alle elementene i visningen». Bare radene i den filtrerte visningen blir behandlet, så du betaler aldri på nytt for rader du allerede har løst."},{"question":"Når bør jeg bruke AI Agent i stedet?","answer":"Når et navn er tvetydig og du har kontekst som oppslaget ikke kan bruke. Både datasettet og Google arbeider ut fra navnet alene. AI Agent kan ta imot en by, bransje eller beskrivelse sammen med navnet, undersøke selskapet og returnere et domene med en sikkerhetspoengsum og en forklaring. Spar den til de gjenværende radene, siden den er bruksbasert og koster mer per rad."}]}},"corner":{"title":"Prøv gratis","body":"Gjør firmanavnene dine om til verifiserte domener i bulk. Over 38 000 brukere bruker allerede Datablist.","label":"Prøv gratis","close":"Lukk CTA"}},"EnrichmentWaterfallEmailFinder":{"metadata":{"title":"Waterfall Email Finder - Find Verified Emails in Bulk | Datablist","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once with Datablist's Waterfall Email Finder."},"breadcrumb":"Waterfall Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Email Finder","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once.","trust":["Cheapest Waterfall on the Market","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Find 20 emails free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Maximize email find rates by querying over 20 top data providers in sequential order until a verified address is found.","cards":[{"title":"What you give","items":["First Name & Last Name: Or combined full name property","Company Name or Domain: e.g. acme.com or Acme Corp","Or LinkedIn Profile URL: Direct profile link method"],"links":["See full input reference"]},{"title":"What you get","items":["Work Email Address: The address found for the contact","Email Deliverability Status: verified or unverified for a found address","MX Provider Detected: E.g. Google Workspace, Microsoft 365"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Found Email: Deducted when an email is found","0 Credits if Not Found: Zero wasted spend on misses","Custom API Keys Supported: Bring your own provider accounts"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: First Name, Last Name and Company Domain. Output: Email, Email Status and MX Provider.","groups":["Your data","Added by Waterfall Email Finder"],"headers":["First Name","Last Name","Company Domain","Email","Email Status","MX Provider"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many verified emails you need and we'll show you the cheapest way to get them.","unitsLabel":"Verified emails needed","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Use your own API keys for the Email Finder","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You're only charged 25 credits when an email is actually verified and found, never for a miss. Plan credits renew every month and reset if unused, so they're sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, making them the better fit for one-off spikes in volume.","emailHint":"= {credits} credits at {rate} credits per found email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access, custom API keys, and automation are Growth-only.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist cascades your contact through multiple elite providers until a deliverable email is confirmed.","steps":[{"label":"Step 1","title":"Upload your list","body":"Import any CSV or Excel file with your contacts. All you need is a first name, last name, and company name or domain. Or a LinkedIn Profile URL if you have it."},{"label":"Step 2","title":"The waterfall runs across 20+ providers","body":"Instead of relying on a single email finder, Datablist queries multiple providers in sequence: Icypeas, Enrow, Findymail, Prospeo, Wiza, and more. If one provider does not find a result, the next one tries. This cascading approach increases your hit rate by up to 30% compared to using a single tool."},{"label":"Step 3","title":"Every email verified","body":"Each found address has Email Status information: verified or unverified. Review unverified addresses before sending. No-result and input errors appear in the run-status column. You only pay for emails that are actually found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Business Owner Finder","description":"Pull owner names and titles off company websites.","imageAlt":""},{"title":"Email First Line","description":"Draft a personalised opener for every contact.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Email Finder with complementary data tools in Datablist.","cards":[{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Find direct mobile phone numbers for B2B prospects globally.","imageAlt":""},{"title":"Company Enrichment","description":"Turn a domain into industry, size, location, and founded year.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about email finding rates, billing, and provider waterfall rules."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Email Finder","description":"Run Datablist's Waterfall Email Finder on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Search Method","Select","Find by name + company (default), or by LinkedIn Profile URL"],["Use Full Name","Checkbox","Use a single Full Name input instead of First Name and Last Name"],["Custom Waterfall","Checkbox","Use your own API keys and provider sequence with By Name and Company"],["Waterfall Sequence","Sequence","Define the order of providers and configure API keys for each one"]]},{"title":"Inputs","rows":[["First Name","Text","First input property for the name + company search method"],["Last Name","Text","Second input property for the name + company search method"],["Full Name","Text","Replaces First Name and Last Name when Use Full Name is enabled"],["Company Name or Domain","Text","Third input property for the name + company search method"],["LinkedIn Profile URL","Text","Standard LinkedIn profile URL. Required for LinkedIn mode; optional for name + company. Sales Navigator URLs are unsupported."]]},{"title":"Outputs","rows":[["Email","Email","The work email address found"],["Email Status","Text","Deliverability information for a found email: verified or unverified"],["MX Provider","Text","The contact's email provider, e.g. Google or Microsoft"],["Provider","Text","Available with Custom Waterfall. The email-finding provider that returned the result"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]}},"corner":{"title":"Try it for Free","body":"Find verified emails of all your contacts in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentSmartScraper":{"metadata":{"title":"Smart Scraper - Scrape Webpage Text, Emails and Social Links in Bulk | Datablist","description":"Scrape website text, email addresses, phone numbers, LinkedIn and Instagram links from a list of URLs. 0.10 credits per page, 0.50 with a proxy."},"breadcrumb":"Smart Scraper","tabs":["Overview","How to use"],"hero":{"title":"Smart Scraper","description":"Turn a list of webpage URLs into text, emails, phone numbers, and LinkedIn and Instagram links. A simple scrape costs 0.10 credits per page.","trust":["0.10 Credits per Page","Follows About and Contact Pages","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Smart Scraper reads each webpage on your list and returns its text, email addresses, phone numbers, LinkedIn links and Instagram links. It can follow About us and Contact pages, and use a proxy when a site blocks normal requests.","cards":[{"title":"What you give","items":["URL to Parse: A full URL with http or https, one per row","Follow Pages: Optional: follow the About us and Contact pages","Proxy and Rendering: Optional: proxy on errors, or render JavaScript pages"],"links":["See full input reference"]},{"title":"What you get","items":["Website Texts: Page text with headers and footers skipped, ready for ChatGPT","Emails and Phone Numbers: Comma-separated lists of what is found on the page","Social Links: LinkedIn profiles, LinkedIn company pages and Instagram profiles"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 simple pages cost 1,000 credits","0.50 Credits with a Proxy: With proxy fallback you pay it only for pages that need it","2 Credits with Render HTML: For pages rendered by JavaScript"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: URL to parse. Output: 6 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Smart Scraper"],"headers":["URL to parse","Website Texts","Email Addresses","Phone Numbers","LinkedIn Profiles","LinkedIn Company Pages","Instagram Profiles"],"caption":"Sample input and output.","scrollHint":"7 columns, scroll →","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping mode?","modes":["Basic scraping (0.1 credits per page)","With a proxy (0.5 credits per page)","With Render HTML (2 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Basic scraping costs 0.10 credits per page, proxy scraping 0.50 credits, and Render HTML 2 credits. A cached page costs 0.05 credits. This estimate counts each listed URL once at your selected rate. Additional About/Contact pages and automatic rendering can add to the total; cached results can reduce it. Plan credits follow your billing cycle. Top-up credits never expire and are used after subscription credits are exhausted.","scraperHint":"= {credits} credits at {rate} credits per page","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add webpage URLs and get clean data columns back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one webpage URL per row. Use the full URL with http or https, whether it is a company site, a directory or a landing page. Remove duplicate URLs first, so you do not scrape the same page twice."},{"label":"Step 2","title":"Choose what to extract","body":"Pick text, emails, phone numbers, LinkedIn links and Instagram profiles, and decide whether to follow the About us and Contact pages. Turn on the proxy for sites that block normal requests. Additional About/Contact pages have their own scrape costs."},{"label":"Step 3","title":"Get clean columns back","body":"Each URL returns its data as columns, with several results as comma-separated lists. Send the text to ChatGPT to classify or summarize each site, or filter the contact columns for outreach."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Video Links from Webpage","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Case Study Finder","description":"Find case studies on a company website.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Smart Scraper with complementary data tools in Datablist.","cards":[{"title":"Instagram Profile Scraper","description":"Scrape public Instagram profile data in bulk.","imageAlt":""},{"title":"Impressum Scraper","description":"Extract company details from German Impressum pages.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, About pages and text for ChatGPT."},"guide":{"hero":{"title":"How to use Datablist's Smart Scraper","description":"Run Datablist's Smart Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","Scrapes JS-Rendered Pages"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Follow \"About us\" page","Boolean","When enabled, Datablist scans the page to find the \"About us\" link. Then it scrapes the page to find relevant links, emails, texts, etc."],["Follow \"Contact\" page","Boolean","When enabled, Datablist scans the page to find the \"Contact\" link. Then it scrapes the page to find relevant links, emails, texts, etc."],["Use Proxy when needed","Boolean","Enable proxy requests when normal scraping fails or returns incomplete content. Proxy pages cost 0.50 credits; rendered pages cost 2 credits. Disabled by default. Access is not guaranteed."],["Proxy Policy","Select","Available when Use Proxy when needed is enabled. Use proxy on error (default) tries a direct request first. Always use proxy sends uncached page requests through the proxy from the start."],["Render HTML","Boolean","Available when Use Proxy when needed is enabled. Renders a page in a headless browser before scraping JavaScript content. Costs 2 credits per rendered page. Off by default."],["Show advanced settings","Boolean","Shows cache settings and ignore terms for Instagram and LinkedIn links."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."],["Instagram Ignore Terms","Text","Optional. Comma-separated list of terms to filter Instagram results. For example, with the ignore term: \"data\", the instagram https://www.instagram.com/DATAblist/ will be ignored."],["LinkedIn Ignore Terms","Text","Optional. Comma-separated list of terms to filter LinkedIn results. For example, with the ignore term: \"data\", https://www.linkedin.com/company/DATAblist/ will be ignored."]]},{"title":"Inputs","rows":[["URL to parse","-","Full URL with protocol (http/https)."]]},{"title":"Outputs","rows":[["Website Texts","LongText","Analyze the pages and extract relevant texts. Headers texts, footer texts, etc. are skipped. The text can be used to feed ChatGPT."],["Email Addresses","Text","Comma-separated list of email addresses when found."],["Phone Numbers","Text","Comma-separated list of phone numbers when found."],["LinkedIn Profiles","Text","Comma-separated list of LinkedIn profiles when found."],["LinkedIn Company Pages","Text","Comma-separated list of LinkedIn company pages when found."],["Instagram Profiles","Text","Comma-separated list of instagram profiles when found."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Scrape text, emails and social links from webpages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentWaterfallPhoneFinder":{"metadata":{"title":"Waterfall Phone Finder - Find Phone Numbers From LinkedIn URLs in Bulk | Datablist","description":"Find direct phone numbers from LinkedIn profile URLs in bulk. Datablist's Waterfall Phone Finder checks several data providers in sequence. 500 credits per phone number found."},"breadcrumb":"Waterfall Phone Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Phone Finder","description":"Turn LinkedIn profile URLs into direct phone numbers. Datablist checks several data providers in sequence, and you only pay for numbers it finds.","trust":["500 Credits per Number Found","LinkedIn URL to Phone Number","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall Phone Finder finds a phone number from a LinkedIn profile URL. It asks several data providers in sequence and stops at the first match, so you only pay for numbers it finds.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: One per row, in the format linkedin.com/in/name","Public Profile URLs Only: Sales Navigator profile URLs are not supported","Allowed Cache Age: Optional, 30 days by default"],"links":["See full input reference"]},{"title":"What you get","items":["Phone Number: The number found, in international format","Country: The two-letter country code of the number","Provider (Custom Waterfall): Optionally identify which provider found the number"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["500 Credits per New Number Found: 100 uncached numbers cost 50,000 credits","Billed per Number Found: No charge for no-number results or reused cached results","About $0.50 per Number: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: Phone Number and Country.","groups":["Your data","Added by Waterfall Phone Finder"],"headers":["LinkedIn Profile URL","Phone Number","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many phone numbers you want to find and we'll show you the cheapest way to get them.","unitsLabel":"Phone numbers to find","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall Phone Finder costs 500 credits per phone number found, and nothing when no number is found. The estimate assumes every profile returns a number, so your real cost is lower when some return no result. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","phoneHint":"= {credits} credits at {rate} credits per phone number found","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add LinkedIn URLs and Datablist checks several data providers for you.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with one LinkedIn profile URL per row. Use public profile URLs like linkedin.com/in/name. Sales Navigator URLs are not supported. Keep your original columns next to the results."},{"label":"Step 2","title":"The waterfall runs","body":"Datablist asks the first data provider for the number. If it comes back empty, the next provider tries, and so on until one finds a match. Several sources together cover more roles and regions than one, and the whole process runs in the background."},{"label":"Step 3","title":"Get numbers, pay for hits","body":"Each row gets a phone number in international format, its country code and a status. You only pay for the numbers found. A row with no result costs nothing, so a miss never hurts your budget."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Business Number Extractor","description":"Visit a company website and extract its phone number.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""},{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall Phone Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Finder from Name","description":"Find a prospect's LinkedIn profile URL from their name.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about coverage, billing and how the waterfall works."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Phone Finder","description":"Run Datablist's Waterfall Phone Finder on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Allowed Cache Age","Select","Reuse results up to 30 days old (default), 2 months or 6 months; choose No cache for a new lookup. Reused cached results are not charged again."],["Custom Waterfall","Checkbox","Use your own provider API keys and customize the provider order."],["Waterfall Sequence","Sequence","With Custom Waterfall, add Enrow, Prospeo, Findymail, Wiza or Full Enrich with an API key for each provider."]]},{"title":"Inputs","rows":[["LinkedIn Profile","Text","Person's Profile URL should be in the format of https://linkedin.com/in/xxx. This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Phone Number","Phone","Phone Number found in international format (with country prefix)."],["Country","Text","Alpha-2 country code for the phone Number. See Wikipedia page for more information on ISO 3166-1 alpha-2."],["Provider","Text","Available with Custom Waterfall. Identifies which phone-finding provider returned the result."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]}},"corner":{"title":"Try it for Free","body":"Find direct phone numbers from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentWaterfallPersonalEmailFinder":{"metadata":{"title":"Waterfall Personal Email Finder - Find Personal Emails in Bulk | Datablist","description":"Find personal email addresses from LinkedIn profile URLs in bulk. Datablist runs several email providers in sequence and charges 75 credits only for each email found."},"breadcrumb":"Waterfall Personal Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Personal Email Finder","description":"Turn a list of LinkedIn profile URLs into personal email addresses in bulk. Several providers run in sequence, and you only pay for the emails found.","trust":["75 Credits per Email Found","LinkedIn URL to Personal Email","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Waterfall Personal Email Finder takes a LinkedIn profile URL and searches several email providers one after the other. It stops at the first personal email it finds, so you pay only for results.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: Standard format, linkedin.com/in/name","One URL per row: Import a CSV or Excel file","No Sales Navigator URLs: Standard profile URLs only"],"links":["See full input reference"]},{"title":"What you get","items":["Email: A personal email address when found","Run Status: No result, invalid data, or missing data","Credits Used: Shown in the summary after every run"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["75 Credits per Email Found: Charged only when an email is returned","0 Credits if No Result: Empty rows cost nothing","About $0.075 per Email: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: Email.","groups":["Your data","Added by Waterfall Personal Email Finder"],"headers":["LinkedIn Profile URL","Email"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many personal emails you expect to find and we'll show you the cheapest way to pay for them.","unitsLabel":"Personal emails found","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You are charged 75 credits only when a personal email is found, never for an empty row. The estimate assumes every unit you enter is a found email, so a run with fewer finds costs less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","emailHint":"= {credits} credits at {rate} credits per found personal email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"One LinkedIn URL in, one personal email out, with several providers searching behind it.","steps":[{"label":"Step 1","title":"Upload your LinkedIn URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Use standard profile links such as linkedin.com/in/jane-doe. Sales Navigator links are not supported."},{"label":"Step 2","title":"Providers search in sequence","body":"Datablist asks the first provider for a personal email. If nothing comes back, the next provider tries, and the search continues until a match is confirmed or the sequence ends. One provider rarely covers everyone, so the sequence raises your chances."},{"label":"Step 3","title":"Get one email column","body":"Map the LinkedIn column, add the Email output and run. Rows with no personal email are marked as no result and are not charged. You pay 75 credits for each email found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Employee & Talent Finder","description":"Find employees at a list of companies.","imageAlt":""},{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Email First Line","description":"Write an email first line from a LinkedIn description.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Personal Email Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Reach anyone you want by using 20+ email finders.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Get phone numbers from a LinkedIn profile URL and pay only for results.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. 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This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Email","Email","Email Found"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]}},"corner":{"title":"Try it for Free","body":"Find personal emails from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentLinkedInProfileScraper":{"metadata":{"title":"LinkedIn Profile Scraper - Extract LinkedIn Profile Data in Bulk | Datablist","description":"Turn a list of LinkedIn or Sales Navigator profile URLs into full contact records in bulk. 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It reads the public page directly, so Datablist never needs your LinkedIn credentials.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: e.g. linkedin.com/in/janedoe","Or a Sales Navigator URL: e.g. linkedin.com/sales/lead/xxxx","Nothing else: No name, no company, no login"],"links":["See full input reference"]},{"title":"What you get","items":["Identity & Location: Name, headline, summary, city, state, country","Work History: Up to 10 experiences with titles, dates, and descriptions","Current Company Data: Website, industry, employee range, and description"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Profile: Fresh data pulled live from LinkedIn","20 Credits with Cached Profiles: Enable cached results when available; fresh fallback can cost 25","Charged per Profile: Not per field, however many you return"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. 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A profile costs 25 credits for fresh data, or 20 if you allow cached profiles. Unlike pay-per-result enrichments, you are charged for every profile the scraper processes, so clean malformed URLs out of your list before a large run. Plan credits renew every month and reset if unused, so they are sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, which makes them the better fit for one-off spikes.","profileHint":"= {credits} credits at {rate} credits per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist loads each public LinkedIn page, parses it, and writes the fields you picked straight into your collection.","steps":[{"label":"Step 1","title":"Upload your profile URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Standard profile URLs and Sales Navigator lead URLs both work, and you can mix them in the same column."},{"label":"Step 2","title":"Datablist reads the public page","body":"Datablist loads and parses each public profile itself. It never asks for your LinkedIn credentials and never acts as your account, which is why running it cannot get your profile restricted."},{"label":"Step 3","title":"Up to 40 fields land in your list","body":"Choose the outputs you want and Datablist writes them into new columns: name, headline, summary, location, work history, education, and firmographics for the current employer."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made workflows built around LinkedIn profile data.","cards":[{"title":"Employee & Talent Finder","description":"Find people at a company, filtered by role.","imageAlt":""},{"title":"Founders Finder","description":"Surface the founders behind a list of companies.","imageAlt":""},{"title":"Company Name to LinkedIn","description":"Resolve company names to their LinkedIn pages.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Scrape LinkedIn Leads","imageAlt":"How To Scrape LinkedIn Leads"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the LinkedIn Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from a LinkedIn URL using 20+ providers at once.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Unlock direct mobile numbers from the same LinkedIn profile URLs.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public company data from LinkedIn company page URLs.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about account safety, billing, and the data you get back."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Profile Scraper","description":"Run Datablist's LinkedIn Profile Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Doesn’t Risk Your Account","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Include LinkedIn Internal ID (URN)","Checkbox","Return the internal LinkedIn identifier, used to build Sales Navigator URLs. Requires fresh data; unavailable with Accept cached profiles"],["Include Pictures","Checkbox","Return the profile picture and company logo URLs. These links expire quickly. Requires fresh data; unavailable with Accept cached profiles"],["Accept cached profiles","Checkbox","Allow cached results when available at 20 credits. Fresh fallback results can cost 25. Cannot be combined with Include LinkedIn Internal ID (URN) or Include Pictures"],["Experiences to return","Select","How many work experiences to return: 3, 5, or 10. Defaults to 3"],["Educations to return","Select","How many education entries to return: 1, 3, or 5. Defaults to 1"]]},{"title":"Inputs","rows":[["Person's LinkedIn Profile","Text","The profile URL. Works with linkedin.com/in/xxx and Sales Navigator lead URLs"]]},{"title":"Outputs","rows":[["LinkedIn Profile URL Normalized","Url","The clean public profile URL, in the format linkedin.com/in/xxx"],["First Name / Last Name / Full Name","Text","The name on the profile, split and combined"],["Headline","Text","The tagline shown under the name on the profile"],["Summary","Text","The longer About blurb written by the person"],["City / State / Country / Country Name","Text","Location fields, with the country as a 2-letter ISO code and in words"],["Location","Text","The full location string as shown on the profile"],["Title (Current or last experience)","Text","Job title of the current or most recent role"],["Description (Current or last experience)","Text","The role description, where the profile has one"],["Start Date / End date (Current or last)","Date","Role dates. The end date is empty while the role is still active"],["Company Name (Current or last experience)","Text","Employer name on the current or most recent role"],["Company page URL / website","Text","The employer's LinkedIn page and its own website"],["Company description / industry / employee range","Text","Firmographics for the current employer, e.g. 11-50"],["Title, dates and company (Experience #2 to #10)","Text","Past roles, up to the number set in Experiences to return"],["Education entries","Text","School, degree, and dates, up to the number set in Educations to return"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Find LinkedIn Profiles From a Name","imageAlt":"How To Find LinkedIn Profiles From a Name"}]}},"corner":{"title":"Try it for Free","body":"Scrape every detail from your LinkedIn profile URLs. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentCompanyNameCleaner":{"metadata":{"title":"Company Name Cleaner - Clean Company Names in Bulk | Datablist","description":"Clean messy company names in bulk with AI. Remove LLC, Inc. and GmbH, fix casing and standardize names for outreach and your CRM. 0.5 credits per name."},"breadcrumb":"Company Name Cleaner","tabs":["Overview","How to use"],"hero":{"title":"Company Name Cleaner","description":"Fix messy company names in bulk. AI removes legal forms like LLC and GmbH, fixes casing and standardizes every name.","trust":["0.5 Credits per Name","Removes Legal Form","Perfect for Outreach"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Clean 1,000 company names free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Company Name Cleaner uses AI to turn raw company names into short, conversational names ready for outreach. It understands context instead of matching a fixed list of suffixes.","cards":[{"title":"What you give","items":["Company Name: The column with your messy names","Keep Legal Forms: Optional setting, off by default","Any language: Handles GmbH, SAS, Inc. and Ltd."],"links":["See full input reference"]},{"title":"What you get","items":["Cleaned Company Name: A normalized name for outreach or your CRM","Fixed casing: BESTFOODserviceGmbH becomes Bestfood Service","Company Name Confidence: Optional High, Medium, Low, or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.5 Credits per Name: 1,000 names cost 500 credits","Cached Names Cost 0: Matching requests reuse a cached result","Failed Rows Cost 0: Only successful uncached names use credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Outputs: Cleaned Company Name and optional Company Name Confidence.","groups":["Your data","Added by Company Name Cleaner"],"headers":["Company Name","Cleaned Company Name","Company Name Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many company names you need to clean and we'll show you the cheapest way to clean them.","unitsLabel":"Company names to clean","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"The Company Name Cleaner costs 0.5 credits per successful uncached name. The estimate counts every name you enter once. Matching cached requests cost 0 credits, so lists with repeated names can cost less. Failed rows cost 0 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","cleanerHint":"= {credits} credits at {rate} credits per name","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Upload the names, run the cleaner and get one clean column back.","steps":[{"label":"Step 1","title":"Upload your company names","body":"Import a CSV or Excel file and pick the column that holds the messy names. Your other columns stay untouched."},{"label":"Step 2","title":"AI cleans every name","body":"The AI removes legal forms such as LLC, Inc., GmbH and SAS, splits joined words and fixes casing. It reads the whole name, so a brand like Boston Consulting Group keeps its core name."},{"label":"Step 3","title":"Keep or remove legal forms","body":"One setting decides whether legal forms stay. Remove them for outreach, or keep them when your CRM needs the entity type. Matching cached requests cost 0 credits."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Clean company name","description":"Clean and standardize company names.","imageAlt":""},{"title":"Clean job title","description":"Remove unnecessary characters and normalize case.","imageAlt":""},{"title":"Correct capitalization","description":"Fix the capitalization of sentences and proper nouns.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Company Name Cleaner with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or the reverse.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes removed and casing fixed. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about company name cleaning, accuracy and credits."},"guide":{"hero":{"title":"How to use Datablist's Company Name Cleaner","description":"Run Datablist's Company Name Cleaner on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Keep Legal Forms","Boolean","Keep legal forms such as GmbH, Ltd., Inc., or SAS in the cleaned name instead of removing them. Default to False."]]},{"title":"Inputs","rows":[["Company Name","Text","Company Name to clean."]]},{"title":"Outputs","rows":[["Cleaned Company Name","Text","The company name cleaned and standardized."],["Company Name Confidence","Text","Optional: High, Medium, Low, or Very Low. AI estimate of whether the cleaned name preserves company identity; not external verification."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]}},"corner":{"title":"Try it for Free","body":"Clean messy company names in bulk with AI. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentInstagramProfileScraper":{"metadata":{"title":"Instagram Profile Scraper - Scrape Instagram Profile Data in Bulk | Datablist","description":"Scrape public Instagram profile data from usernames, URLs or IDs in bulk: bio, followers, website, public email and more. From 1 credit per profile."},"tabs":["Overview","How to use"],"hero":{"title":"Instagram Profile Scraper","description":"Turn Instagram usernames, profile URLs or IDs into profile data: bio, followers, website, public email and more, in bulk.","primary":"Scrape 500 profiles free","guide":"Check Full Guide","note":"No credit card needed","trust":["From 1 Credit per Profile","Up to 23 Data Points per Profile","Scrape 500 Profiles Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Instagram Profile Scraper reads a username, profile URL or Instagram ID from each row and returns the public profile data. Pick the scraping mode that matches the fields you need.","cards":[{"title":"What you give","items":["Instagram Identifier: A profile URL, a username or an Instagram ID, one per row","Scraping Type: Public profile, private profile, About data, or both","Clean Identifiers: Empty or malformed values are marked in the run status"],"links":["See full input reference"]},{"title":"What you get","items":["Profile Basics: Full name, bio, category, website and profile picture","Audience and Account: Follower and following counts, posts, account type, verified and business flags","Contact Details: Public email, phone and WhatsApp number when the profile shows them"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["From 1 Credit per Profile: Public profile mode, from a username or URL","Richer Modes Cost More: Private profile 2 to 3 credits, with About data from 4","Identifiers May Add 1 Credit: When Datablist must resolve the identifier first"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Instagram Identifier. Output: 21 columns in private profile mode, the same grid you work in inside Datablist.","groups":["Your data","Added by Instagram Profile Scraper"],"headers":["Instagram Identifier","Full Name","Description","Follower Count","Category","Website","Account Type","Public Email","Phone Number","Verified","Business Account","Following Count","WhatsApp Phone Number","Profile Picture","Private","Number of Posts","Business Zip Code","Business City","Business Street Address","User Id","User Username","User Profile URL"],"caption":"Sample input and output.","scrollHint":"22 columns, scroll →","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many profiles you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Profiles to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping type?","modes":["Public profile (1 credit per profile)","Private profile from usernames or URLs (3 credits per profile)","Private profile plus About data (4 credits or more per profile)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Instagram Profile Scraper starts at 1 credit per profile in public profile mode, and costs more in the richer modes. Datablist's default scraping type is Private profile, which costs 2 to 3 credits per profile. The modes above use the typical starting cost, so a mixed file or identifiers that need resolving can cost more. Fallback lookups can add to the cost, while available cached data can reduce it. Failed lookups can still use credits if a lookup was performed. The estimate charges every profile once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","scraperHint":"= {credits} credits at {rate} {rate, plural, one {credit} other {credits}} per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add Instagram identifiers and choose how much data you want.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with one Instagram identifier per row. A profile URL, a username or an Instagram ID all work, so mixed formats are fine. Keep your original identifier column next to the new ones."},{"label":"Step 2","title":"Choose a scraping mode","body":"Public profile mode is the cheapest and returns follower counts, bio and website. Private profile mode adds the public email and phone when the account shows them, and About data adds home country and join date."},{"label":"Step 3","title":"Get profile data and a run status","body":"Each row returns the fields for your mode. Use the run-status column to find failed rows, fix the identifiers and rerun only those rows. The scraped profile data lands in your collection, ready to filter and export."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data Extraction","description":"Visit a website and extract information about the company.","imageAlt":""},{"title":"B2B or B2C Classifier","description":"Classify a website as B2B or B2C by its primary audience.","imageAlt":""},{"title":"Company Summary from URL","description":"Visit a website and generate a summary of what the company does.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide","imageAlt":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide"},{"title":"Scrape Instagram followers, following list and post authors for free and enrich them","imageAlt":"Scrape Instagram followers, following list and post authors for free and enrich them"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Instagram Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""},{"title":"Smart Scraper","description":"Extract text, emails, phone numbers and social links from webpages.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about identifiers, scraping types, billing and results."},"guide":{"hero":{"title":"How to use Datablist's Instagram Profile Scraper","description":"Run Datablist's Instagram Profile Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Scraping Type","Select","The private profile includes the public phone_number and public email address if provided by the user. It costs 2 credits if the input is an Instagram Id, 2+1 credits if the input is an URL or an username. The About this account data have two outputs: Home Country and Date Joined. About data scraping costs 2 credits, 2+1 credits if the input is an URL or an username. The public profile doesn't include phone or email but is cheaper. It costs 1 credit if the input is an username or an URL, 1+1 credits if the input is the Instagram Id."]]},{"title":"Inputs","rows":[["Instagram Identifier","Text","Instagram user URL (https://www.instagram.com/tomhanks/), or username (tomhanks), or Instagram id (1758466516)."]]},{"title":"Outputs","rows":[["Full Name","Text","The full name of the user"],["Description","LongText","Instagram user bio."],["Follower Count","Number","Instagram user follower count."],["Following Count","Number","Instagram user following count."],["Category","Text","Instagram user category name."],["Website","Url","Instagram user external url."],["Public Email","Email","Private profile modes only. Instagram user public email address."],["Phone Number","Text","Private profile modes only. Instagram user phone number, when available."],["WhatsApp Phone Number","Text","Private profile modes only. Instagram WhatsApp phone number, when available."],["Account Type","Text","Private profile modes only. Instagram Account Type. One of: PERSONAL, BUSINESS, CREATOR"],["Profile Picture","Url","Instagram user profile picture."],["Private","Boolean","Is the Instagram profile private."],["Verified","Boolean","Is the Instagram profile verified."],["Business Account","Boolean","Is the Instagram profile a business profile."],["Number of Posts","Number","Number of posts posted"],["Business Zip Code","Text","-"],["Business City","Text","-"],["Business Street Address","Text","-"],["User Id","Text","Instagram internal id"],["User Username","Text","Instagram username"],["User Profile URL","Url","Instagram profile URL"],["Last Location","Text","Public profile mode only. If the user has posts with location information, retrieve the most recent location."],["Home Country","Text","About modes only. Instagram user country name. Ex: France."],["Date Joined","Text","About modes only. Month and year of joining Instagram. Ex: October 2012."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide","imageAlt":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide"},{"title":"Scrape Instagram followers, following list and post authors for free and enrich them","imageAlt":"Scrape Instagram followers, following list and post authors for free and enrich them"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Scrape public Instagram profile data in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Instagram Profile Scraper"},"EnrichmentGoogleSearch":{"metadata":{"title":"Google Search - Run Google Searches on CSV Rows in Bulk | Datablist","description":"Run a Google search for every row in your CSV or Excel file. Use row values in your query and return the link, title and snippet. 2.5 credits per search."},"tabs":["Overview","How to use"],"hero":{"title":"Google Search","description":"Run a Google search for every row in your spreadsheet. Build the query from your own columns and get the link, title and snippet back.","primary":"Run 200 searches free","guide":"Check Full Guide","note":"No credit card needed","trust":["2.5 Credits per Search","Live Google Search","Data for AI"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Google Search enrichment runs one search query per row and returns up to 5 Google results. Query templates use values from your columns, so one setup covers the whole list.","cards":[{"title":"What you give","items":["Google Search Query: A template that uses your columns","Target Country and Language: Optional, US and English by default","Filters: Skip domains and keywords you do not want"],"links":["See full settings reference"]},{"title":"What you get","items":["Result Link: The URL of the result","Result Title: The title of the result","Result Snippet: The short description of the result"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["2.5 Credits per Search: 1,000 searches cost 2,500 credits","Billed per Search: Each row you run is one search","Cached Searches: Matching cached queries cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result Link, Result Title and Result Snippet.","groups":["Your data","Added by Google Search"],"headers":["Company Name","Result Link","Result Title","Result Snippet"],"caption":"The search query is built from your columns, for example Company Name plus the word pricing.","scrollHint":"","footer":"The search query is built from your columns, for example Company Name plus the word pricing."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many searches you need to run and we'll show you the cheapest way to run them.","unitsLabel":"Searches to run","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Google Search costs 2.5 credits per search, and each row you run is one search. The estimate charges every search you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. Matching cached searches cost 0 credits. A completed search can still use credits when no result remains after filtering.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"searchHint":"= {credits} credits at {rate} credits per search"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one query template and Datablist runs it for every row.","steps":[{"label":"Step 1","title":"Import your file","body":"Upload a CSV or Excel file with the values you want to search for, such as company names, domains or person names. Every row becomes one search."},{"label":"Step 2","title":"Write a query template","body":"Type your query and insert row values by typing a slash and choosing the property. Optionally set the target country, the language, the number of results and the domains or keywords to skip."},{"label":"Step 3","title":"Collect links, titles and snippets","body":"Create output columns for the result link, title and snippet. The first result is required, and you can return up to 5 results per row. You pay 2.5 credits per search."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"LinkedIn School Pages","description":"Find LinkedIn school pages from school names.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Company Name to Domain: Find Company Websites in Bulk","imageAlt":"Company Name to Domain: Find Company Websites in Bulk"},{"title":"Automating Google Searches On Excel With AI (4 Steps)","imageAlt":"Automating Google Searches On Excel With AI (4 Steps)"},{"title":"Using Agents to Scale AI Search (Huge Time-Saver)","imageAlt":"Using Agents to Scale AI Search (Huge Time-Saver)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Google Search with complementary data tools in Datablist.","cards":[{"title":"AI Agent","description":"Browse websites and run Google searches for every row with one prompt.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Profile Finder from Name","description":"Find a prospect's LinkedIn profile URL from their name.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about queries, results, filters and credits."},"guide":{"hero":{"title":"How to use Datablist's Google Search","description":"Run Datablist's Google Search on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Google Search Query","RichText","Google search query. Type a slash and choose a property to insert row variables."],["Target Country","Select","Country to target for the Google search. Defaults to US if not set."],["Language","Select","Language of the Google search results. Defaults to English if not set."],["Number of Results","Select","Number of Google results to return for each row. Defaults to 1."],["Filter Out Domains/Urls","Text","Comma-separated list of domains to exclude. Example: facebook.com, linkedin.com. Matching is applied to the hostname only; full URL paths are not matched. Filtering is applied only on the first 10 Google results."],["Filter Out Keywords","Text","Comma-separated list of keywords to exclude. Results containing these keywords in the title or snippet will be skipped. Filtering is applied only on the first 10 Google results."]]},{"title":"Outputs","rows":[["Result Link","Url","URL of Google search result #1."],["Result Title","Text","Result title of Google search result #1."],["Result Snippet","LongText","Search snippet (short description) of result #1."],["Result 2 Link","Url","URL of Google search result #2. Available when Number of Results is at least 2."],["Result 2 Title","Text","Result title of Google search result #2. Available when Number of Results is at least 2."],["Result 2 Snippet","LongText","Search snippet (short description) of result #2. Available when Number of Results is at least 2."],["Result 3 Link","Url","URL of Google search result #3. Available when Number of Results is at least 3."],["Result 3 Title","Text","Result title of Google search result #3. Available when Number of Results is at least 3."],["Result 3 Snippet","LongText","Search snippet (short description) of result #3. Available when Number of Results is at least 3."],["Result 4 Link","Url","URL of Google search result #4. Available when Number of Results is at least 4."],["Result 4 Title","Text","Result title of Google search result #4. Available when Number of Results is at least 4."],["Result 4 Snippet","LongText","Search snippet (short description) of result #4. Available when Number of Results is at least 4."],["Result 5 Link","Url","URL of Google search result #5. Available when Number of Results is at least 5."],["Result 5 Title","Text","Result title of Google search result #5. Available when Number of Results is at least 5."],["Result 5 Snippet","LongText","Search snippet (short description) of result #5. Available when Number of Results is at least 5."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Company Name to Domain: Find Company Websites in Bulk","imageAlt":"Company Name to Domain: Find Company Websites in Bulk"},{"title":"Automating Google Searches On Excel With AI (4 Steps)","imageAlt":"Automating Google Searches On Excel With AI (4 Steps)"},{"title":"Using Agents to Scale AI Search (Huge Time-Saver)","imageAlt":"Using Agents to Scale AI Search (Huge Time-Saver)"}]}},"corner":{"title":"Try it for Free","body":"Run a Google search for every row in your file. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Google Search"},"EnrichmentAskChatGPT":{"metadata":{"title":"Ask ChatGPT/OpenAI - Run a ChatGPT Prompt on Every CSV or Excel Row | Datablist","description":"Run a ChatGPT prompt on every row of a CSV or Excel file. Free in Datablist with your own OpenAI API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask ChatGPT/OpenAI","description":"Write one prompt and run ChatGPT on every row of your CSV or Excel file. Free in Datablist with your own OpenAI API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask ChatGPT/OpenAI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your OpenAI API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by ChatGPT for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used when you provide your own OpenAI API key","Billed by OpenAI: Usage is charged to your own OpenAI account in own-key mode","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask ChatGPT/OpenAI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask ChatGPT/OpenAI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Ask ChatGPT/OpenAI can also run on Datablist credits instead of your own key. Switch on Use Datablist credits in the settings and Datablist charges your credits based on token usage. This page covers the free mode with your own key.","planRows":[["Datablist credits","None. This enrichment is free to run."],["OpenAI usage","OpenAI bills your own account for API usage, based on the tokens your prompts and results use. Prices depend on the model you choose."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]]},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your OpenAI API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format or tone, and turn on Cache Results on a paid Datablist plan to skip duplicate prompts."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages rate limits and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask ChatGPT/OpenAI with complementary data tools in Datablist.","cards":[{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"Ask Mistral AI","description":"Run Mistral AI on every row.","imageAlt":"Ask Mistral AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask ChatGPT/OpenAI","description":"Run Datablist's Ask ChatGPT/OpenAI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Datablist credits","Boolean","Check this setting to use Datablist's OpenAI account instead of your own key. Useful to avoid rate limits or when you do not have an OpenAI account."],["OpenAI API Key","Text","Your OpenAI API Key. Available in your OpenAI account under API Keys at platform.openai.com/api-keys. Turn on Use Datablist credits to use Datablist's OpenAI account instead."],["Prompt","RichText","Prompt to be used to call ChatGPT. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Cache Results","Boolean","Enable this to cache results for 48 hours. Identical prompts with the same settings on the same data reuse previous responses for free (no additional credits used). Available on paid Datablist plans."],["Max Concurrent Calls","Number","Maximum number of parallel calls. Default is 10. Reduce if you hit rate limit errors."],["GPT Model","Select","(Optional) Select the GPT model. Default to GPT 4o mini. See the OpenAI Models page."],["Model id","Text","Write the GPT model id. Example: gpt-5.4-nano, gpt-5.4-mini. Check OpenAI's pricing page for the list. Select Other in GPT Model first. Custom model IDs require your own API key."],["Advanced Settings","Boolean","Configure max tokens, reasoning effort, flex mode, and response verbosity."],["ChatGPT Max tokens","Number","The maximum number of output tokens. If unset, the provider/model default applies."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."],["Use Flex Mode","Boolean","Enable lower-cost Flex processing on compatible models, with longer response times."],["Flex Timeout (seconds)","Number","Default 360 seconds. Accepts 30–1,500 seconds; available when Flex mode and Advanced Settings are enabled."],["Reasoning Effort","Select","Low, Medium or High on compatible models. Defaults to Medium."],["Response Verbosity","Select","Low, Medium or High on compatible models. Defaults to Medium."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by ChatGPT."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run ChatGPT on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask ChatGPT/OpenAI"},"EnrichmentAskDeepSeek":{"metadata":{"title":"Ask DeepSeek AI - Run DeepSeek on Every CSV or Excel Row | Datablist","description":"Run a DeepSeek prompt on every row of a CSV or Excel file. Free in Datablist with your own DeepSeek API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask DeepSeek AI","description":"Write one prompt and run DeepSeek on every row of your CSV or Excel file. Free in Datablist with your own DeepSeek API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask DeepSeek AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your DeepSeek API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by DeepSeek for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by DeepSeek: Usage is charged to your own DeepSeek account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask DeepSeek AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask DeepSeek AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["DeepSeek usage","DeepSeek bills your own account for API usage. Fees come out of your topped-up balance or your granted balance, with the granted balance used first."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Your DeepSeek account needs a balance for the run to work. Top it up in the DeepSeek Platform before you start a large file."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your DeepSeek API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format, for example to return just the result."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask DeepSeek AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask DeepSeek AI","description":"Run Datablist's Ask DeepSeek AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["DeepSeek API Key","Text","Your DeepSeek API Key. Available at platform.deepseek.com/api_keys."],["Prompt","RichText","Prompt to be used to call DeepSeek. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["DeepSeek Model","Select","Choose the model to use. See DeepSeek's models and pricing page to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written on DeepSeek's models and pricing page. Select Other in DeepSeek Model first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run DeepSeek on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask DeepSeek AI"},"EnrichmentApolloPeopleSearch":{"metadata":{"title":"Apollo.io People Search - Find Leads by Company Domain in Bulk | Datablist","description":"Search people at a list of company domains with Apollo.io. Define job titles and seniority and get profiles in your CSV or Excel file. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Search","description":"Turn a list of company domains into matching people. Define job titles and seniority, and get profiles back. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Up to 3 Leads per Company","Fallback Titles When No Match"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Search runs Apollo people searches in bulk. Give it company domains, define the roles or seniority you want, and it returns matching profiles in your table.","cards":[{"title":"What you give","items":["Company Domain: One company domain per row, for example google.com","Job Titles or Seniority: At least one of the two, with optional fallback title lists","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Matching Profiles: Name, job title, seniority, location and LinkedIn URL","Work Email and Company Data: When Apollo returns them for the profile","Total Query Results: how many profiles matched each company"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","Any Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Domain. Output: Full Name #1, Job Title #1, Seniority #1, Country #1 and Total Query Results.","groups":["Your data","Added by Apollo.io People Search"],"headers":["Company Domain","Full Name #1","Job Title #1","Seniority #1","Country #1","Total Query Results"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Search does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo's People Search costs 0 Apollo credits. Turning the hits into complete profiles typically uses 1 Apollo credit per profile returned. The optional company name fallback uses 1 Apollo credit per search page."],["Running in the app","Needs a Datablist plan, and any paid plan works. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan. Check your Apollo API limits before running a large file. A Datablist plan is needed to run this enrichment in the app, and any paid plan works."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and the roles you want, and get people back.","steps":[{"label":"Step 1","title":"Import your company domains","body":"Upload a CSV or Excel file with one company domain per row. Domains are more precise than company names. Add the company name too as a fallback for companies with several domains."},{"label":"Step 2","title":"Define the people you want","body":"Paste your Apollo API key, then add job titles, a seniority level, or both. Add fallback title lists for when the first list finds nobody, and choose up to 3 people per company."},{"label":"Step 3","title":"Run it and review the status","body":"Datablist searches each company and writes the profiles into numbered columns, plus a Total Query Results count for every row. Filter no-result rows to adjust your titles and rerun them. Keep the status column so you can see which rows failed."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Find Company Domain from Company and Employee Names","description":"Find a company's official domain using its name and an employee's full name to identify and verify the correct company.","imageAlt":"Find Company Domain from Company and Employee Names"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Search with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Search","description":"Find people at a company by job title and seniority.","imageAlt":"Waterfall People Search"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Search","description":"Run Datablist's Apollo.io People Search on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Get your API key on developer.apollo.io/keys."],["Person Titles","Text","Comma-separated list of person's titles. For example: sales director, engineer manager. The query will return results matching ANY of the titles passed in. You must define at least one Person Title or Person Seniority."],["Titles Fallback 1","Text","Search other job titles when no profile matches the main title list. Optional."],["Titles Fallback 2","Text","Search other job titles when no profile matches the \"Titles Fallback 1\" list. Optional."],["Titles Fallback 3","Text","Search other job titles when no profile matches the \"Titles Fallback 2\" list. Optional."],["Person Seniority","Select (multiple)","Select one or more seniority levels. Apollo returns people matching any selected level. You must define at least one Person Title or Person Seniority."],["Number of persons returned per search","Number","Default to 1. Max 3."]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain. Ex: google.com"],["Company name (optional)","Text","Company name is used as fallback if the company domain has yielded no result. This can be the case with companies that have several domains (.fr, .es, .com, etc.)."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","Returned by Apollo."],["Job Start Date #1","Text","Returned by Apollo."],["Seniority #1","Text","Returned by Apollo."],["City #1","Text","Returned by Apollo."],["Country #1","Text","Returned by Apollo."],["Company LinkedIn Page #1","Url","Returned by Apollo."],["Apollo Person ID #1","Text","Unique Apollo identifier for the person."],["Work Email Address #1","Email","Work email returned by Apollo Bulk People Enrichment."],["Email Status #1","Text","Apollo verification status for the work email."],["Email Domain Catch-all #1","Boolean","Whether Apollo identifies the email domain as catch-all."],["Email Domain Catch-all Verdict #1","Text","Apollo's catch-all verdict for the email domain."],["Email Confidence #1","Number","Apollo confidence score for an extrapolated email."],["Profile Photo #1","Url","Profile photo URL."],["Twitter/X Profile #1","Url","Twitter or X profile URL."],["GitHub Profile #1","Url","GitHub profile URL."],["Facebook Profile #1","Url","Facebook profile URL."],["State/Region #1","Text","Person's state or region."],["Formatted Address #1","Text","Person's formatted location or address."],["Street Address #1","Text","Person's street address when available."],["Postal Code #1","Text","Person's postal code."],["Time Zone #1","Text","Person's time zone."],["Departments #1","Text","Apollo department classifications for the person."],["Subdepartments #1","Text","Apollo subdepartment classifications for the person."],["Functions #1","Text","Apollo job-function classifications for the person."],["Employment History #1","LongText","Complete employment history returned by Apollo, formatted as JSON."],["Apollo Organization ID #1","Text","Unique Apollo identifier for the current organization."],["Organization Name #1","Text","Name of the person's current organization."],["Intent Strength #1","Text","Apollo intent-strength value when available."],["Intent Available #1","Boolean","Whether Apollo exposes intent data for the person."],["Company Domain #1","Text","Primary domain of the current organization."],["Company Website #1","Url","Website URL of the current organization."],["Company Twitter/X #1","Url","Twitter or X URL of the current organization."],["Company Facebook #1","Url","Facebook URL of the current organization."],["Company AngelList #1","Url","AngelList URL of the current organization."],["Company Crunchbase #1","Url","Crunchbase URL of the current organization."],["Company Logo #1","Url","Logo URL of the current organization."],["Company Phone #1","Text","Main phone number of the current organization."],["Company Founded Year #1","Number","Year the current organization was founded."],["Company Industry #1","Text","Primary industry of the current organization."],["Company Industries #1","Text","Industries associated with the current organization."],["Company Secondary Industries #1","Text","Secondary industries associated with the current organization."],["Company Keywords #1","LongText","Keywords associated with the current organization."],["Company Estimated Employees #1","Number","Apollo's estimated employee count for the current organization."],["Company Revenue #1","Number","Numeric revenue estimate for the current organization."],["Company Revenue (Formatted) #1","Text","Formatted revenue estimate returned by Apollo."],["Company Headcount Growth (6 Months) #1","Number","Six-month organization headcount growth."],["Company Headcount Growth (12 Months) #1","Number","Twelve-month organization headcount growth."],["Company Headcount Growth (24 Months) #1","Number","Twenty-four-month organization headcount growth."],["Company Alexa Ranking #1","Number","Alexa ranking returned by Apollo."],["Company Formatted Address #1","Text","Formatted address of the current organization."],["Company Street Address #1","Text","Street address of the current organization."],["Company City #1","Text","City of the current organization."],["Company State/Region #1","Text","State or region of the current organization."],["Company Postal Code #1","Text","Postal code of the current organization."],["Company Country #1","Text","Country of the current organization."],["Company Languages #1","Text","Languages associated with the current organization."],["Company NAICS Codes #1","Text","NAICS industry classification codes."],["Company SIC Codes #1","Text","SIC industry classification codes."],["Company Stock Symbol #1","Text","Public stock symbol of the current organization."],["Company Stock Exchange #1","Text","Public stock exchange of the current organization."],["Company Retail Location Count #1","Number","Number of retail locations reported by Apollo."],["Total Query Results","Number","The total number of profiles maching the query"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find the right people at a list of companies with your own Apollo key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Search"},"EnrichmentApolloPeopleEnrichment":{"metadata":{"title":"Apollo.io People Enrichment - Enrich Contacts With Apollo in Bulk | Datablist","description":"Enrich contacts with the Apollo.io People Enrichment API from a CSV or Excel file. Get LinkedIn URL, job title, email and phone number. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Enrichment","description":"Enrich a list of contacts with Apollo: LinkedIn URL, job title, email, phone number and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Match by Email or LinkedIn","Social Profiles and Location"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Enrichment enriches contacts with the Apollo.io API. Provide a LinkedIn URL or an email, or a name with a company, and it returns the profile details Apollo has.","cards":[{"title":"What you give","items":["A LinkedIn URL or an Email: Either one is enough on its own","Or a Name and a Company: First and last name, or full name, with a company domain or name","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Contact Details: Email, phone number, title, seniority and LinkedIn URL","Profiles and Location: Twitter or X, Facebook, city, state and country","Company Details: Company name, LinkedIn page and website"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Full Name and Company Domain. Output: Email from Apollo, Title, LinkedIn URL and Seniority.","groups":["Your data","Added by Apollo.io People Enrichment"],"headers":["Full Name","Company Domain","Email from Apollo","Title","LinkedIn URL","Seniority"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it a LinkedIn URL, an email, or a name with a company, and get the contact details back.","steps":[{"label":"Step 1","title":"Import your contacts","body":"Upload a CSV or Excel file with your contacts. The most reliable inputs are a LinkedIn profile URL or an email. A first name, last name and company domain also work."},{"label":"Step 2","title":"Paste your key and map inputs","body":"Paste your Apollo API key and map the columns that identify each person. Skip the inputs you do not have, since one strong identifier is enough. Test on the first 10 rows before you run the whole list."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each contact and writes the details into new columns. Filter the rows with empty output columns to find the people Apollo could not match. Fix the source data and rerun those rows."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Enrichment with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email, a LinkedIn URL or a name.","imageAlt":"Waterfall People Enrichment"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Enrichment","description":"Run Datablist's Apollo.io People Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["First Name","Text","Person's first name. Ex: Tim"],["Last Name","Text","Person's last name. Ex: Zheng"],["Full Name","Text","Person's full name (if you don't have the first name and last name split). Ex: Tim Zheng. We recommend using the First Name and Last Name fields instead for better results."],["Email","Email","Person's email (optional). Ex: example@domain.com. If you have the person's email, you don't need to map the other input fields."],["LinkedIn Url","Text","Person's LinkedIn URL. If you provide the LinkedIn URL, do not map the name or other fields. This gives the best results."],["Company Name","Text","Person's company name (optional). Ex: Datablist"],["Company Domain","Text","Person's company domain (optional). Ex: datablist.com. Recommended over just the company name."]]},{"title":"Outputs","rows":[["Email from Apollo","Email","Person's email"],["Phone Number","Text","The matched company's business phone number, when available. This integration does not enable mobile-phone reveal."],["Title","Text","Person's job title. Ex: Sales Executive, CEO, etc."],["Seniority","Text","Person's seniority. Ex: entry, vp, c_suite"],["LinkedIn URL","Url","Person's LinkedIn url."],["Twitter URL","Url","Person's Twitter url."],["Facebook URL","Url","Person's Facebook url."],["Github URL","Url","GitHub URL output. Currently empty in this integration."],["State","Text","The person's state or region."],["City","Text","The person's city."],["Country","Text","The person's country."],["Company Name from Apollo","Text","Person's company name."],["Company LinkedIn URL","Url","Person's company LinkedIn url."],["Company Website","Url","Person's company website."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]}},"corner":{"title":"Try it for Free","body":"Enrich contacts with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Enrichment"},"EnrichmentApolloCompanyEnrichment":{"metadata":{"title":"Apollo.io Company Enrichment - Enrich Domains With Apollo in Bulk | Datablist","description":"Enrich company domains with the Apollo.io Organization Enrichment API from a CSV or Excel file. Get industry, employees, address and social URLs. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io Company Enrichment","description":"Enrich a list of company domains with Apollo: industry, employees, address, social URLs and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","20 Data Fields per Company","Social URLs and Address"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io Company Enrichment enriches company domains with the Apollo.io Organization Enrichment API. Give it a domain and it returns the social URLs, industry, size, address and more.","cards":[{"title":"What you give","items":["A Company Domain: One domain per row, for example google.com","Your Apollo API Key: Pasted into the settings","No Other Settings: Map the domain, choose outputs and run"],"links":["See full input reference"]},{"title":"What you get","items":["Company Basics: Name, website, description, industry and founded year","Size, Phone and Address: Employees, phone number and the full address","Social Links: LinkedIn, Twitter or X, Facebook, Crunchbase and AngelList"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Domain. Output: Company Name, Company Industry, Estimated Number of Employees, City and Country.","groups":["Your data","Added by Apollo.io Company Enrichment"],"headers":["Domain","Company Name","Company Industry","Estimated Number of Employees","City","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io Company Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and get firmographic data back.","steps":[{"label":"Step 1","title":"Import your domains","body":"Upload a CSV or Excel file with one company domain per row. A clean domain, such as google.com, is all the enrichment needs to find a company."},{"label":"Step 2","title":"Paste your key and map the domain","body":"Paste your Apollo API key and map the Domain input to your domain column. There are no other settings to configure, so you can go straight to choosing outputs. Start with a test on the first 10 rows."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each domain and writes the company data into new columns. Filter the rows with empty output columns to find the domains Apollo could not match. Fix those domains and run the rows again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data extraction from website","description":"Visit a website, search for the About Page, and extract information about the company (summary, industry, number of employees) and its found social links.","imageAlt":"Company Data extraction from website"},{"title":"Company enrichment from company name","description":"Find and enrich a company using its name. Prioritizes fast exits when no reliable online presence exists.","imageAlt":"Company enrichment from company name"},{"title":"Get Company Sector","description":"Figure out the company's sector using the LLM knowledge, a company database, or by checking the website.","imageAlt":"Get Company Sector"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io Company Enrichment with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company Enrichment"},{"title":"Identify Technologies on Websites","description":"Find the technology stack of any website.","imageAlt":"Identify Technologies on Websites"},{"title":"LinkedIn Company Page Scraper","description":"Scrape company data from LinkedIn company pages.","imageAlt":"LinkedIn Company Page Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io Company Enrichment","description":"Run Datablist's Apollo.io Company Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["Domain","Text","Company domain to enrich. Example: google.com"]]},{"title":"Outputs","rows":[["Company Name","Text","The company name."],["Website URL","Url","The company website url."],["LinkedIn URL","Url","The company LinkedIn url."],["LinkedIn UID","Text","The company LinkedIn identifier. Ex: 69842428."],["Apollo Company Link","Text","Direct link to the company on Apollo.io. Ex: https://app.apollo.io/#/accounts/6758625db51a1202d1948b97"],["Twitter URL","Url","The company Twitter url."],["Facebook URL","Url","The company Facebook url."],["Crunchbase URL","Url","The company Crunchbase url."],["AngelList URL","Url","The company AngelList url."],["Company Phone","Text","The company Phone Number"],["Company Industry","Text","The company industry."],["Company Description","LongText","The company description."],["Founded Year","Number","The year the company was founded."],["Estimated Number of Employees","Number","The estimated number of employees."],["Company Full Address","Text","The full company postal address"],["Street Address","Text","The street address component from the full address"],["City","Text","The city component from the full address"],["State","Text","The state component from the full address"],["Postal Code","Text","The Postal Code component from the full address"],["Country","Text","The company country."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]}},"corner":{"title":"Try it for Free","body":"Enrich company domains with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io Company Enrichment"},"EnrichmentAskClaudeAI":{"metadata":{"title":"Ask Anthropic/Claude AI - Run Claude on Every CSV or Excel Row | Datablist","description":"Run a Claude prompt on every row of a CSV or Excel file. Free in Datablist with your own Anthropic API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Anthropic/Claude AI","description":"Write one prompt and run Claude on every row of your CSV or Excel file. Free in Datablist with your own Anthropic API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Anthropic/Claude AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Anthropic API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Claude for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Anthropic: Usage is charged to your own Anthropic account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask Anthropic/Claude AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies as B2B or B2C","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company as B2B or B2C. Return only B2B or B2C:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask Anthropic/Claude AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Anthropic usage","Anthropic bills your own account for API usage, based on the Claude model you choose and how much text each row uses."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"You need an active Anthropic account with billing enabled. The enrichment will not run with a key from an account that has no credits."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your Anthropic API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt so Claude knows its role and answers in a consistent format."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask Anthropic/Claude AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Mistral AI","description":"Run Mistral AI on every row.","imageAlt":"Ask Mistral AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask Anthropic/Claude AI","description":"Run Datablist's Ask Anthropic/Claude AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Anthropic API Key","Text","Your Anthropic API Key. Available at console.anthropic.com/settings/keys."],["Prompt","RichText","Prompt to be used to call Anthropic. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Anthropic Model","Select","Choose the model to use. See the Claude models overview in Anthropic's docs to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written in Anthropic's models overview. Select Other in the model setting first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run Claude on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask Anthropic/Claude AI"},"EnrichmentAskMistralAI":{"metadata":{"title":"Ask Mistral AI - Run Mistral on Every CSV or Excel Row | Datablist","description":"Run a Mistral AI prompt on every row of a CSV or Excel file. Free in Datablist with your own Mistral API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Mistral AI","description":"Write one prompt and run Mistral AI on every row of your CSV or Excel file. Free in Datablist with your own Mistral API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Mistral AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Mistral API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Mistral for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Mistral: Usage is charged to your own Mistral account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. 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Output: Result and Confidence.","groups":["Your data","Added by Classification with ChatGPT/OpenAI"],"headers":["Text","Result","Confidence"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify job titles by department","description":"A setup that works on any text column. Open it to see the text column and the labels.","toggle":"Show the example setup","promptLabel":"Setup","prompt":"Text to classify: Job Title\nLabels: Sales, Marketing, Operations, Engineering, Management, Other","note":"Map the Text input to the column you want to classify and type your labels separated by commas. Datablist returns one label and a confidence level for each row."},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Classification with ChatGPT/OpenAI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["OpenAI usage","OpenAI bills your own account for API usage, based on the tokens your prompts and results use. Prices depend on the model you choose."],["Running in the app","No paid Datablist plan needed. Add your API key, define your labels and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Your OpenAI account must have API billing or credits, because a free OpenAI account without API credits will not work. 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Filter the low-confidence rows to review them or rerun them."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Categorize job title","description":"Classify a job title under broader categories like Marketing, Finance, Engineering, Sales, etc.","imageAlt":"Categorize job title"},{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Decision maker flag from job title","description":"Determine if a person is likely a decision maker based on their job title.","imageAlt":"Decision maker flag from job title"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Classification with ChatGPT/OpenAI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run any ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Language Detection","description":"Detect the language of any text.","imageAlt":"Language Detection"},{"title":"Entity Name Extraction","description":"Extract names from free text.","imageAlt":"Entity Name Extraction"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, labels, confidence and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Classification with ChatGPT/OpenAI","description":"Run Datablist's Classification with ChatGPT/OpenAI on your own list in 9 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["OpenAI API Key","Text","Your OpenAI API Key. Available in your OpenAI Account under API Keys."],["Labels","LongText","Labels you want your text classified into. Separate labels with commas."],["Disable Cache","Boolean","Datablist caches identical classification requests for 48 hours by default. On a paid Datablist plan, enable this to skip stored results and request fresh classifications."],["Max Concurrent Calls","Number","Maximum number of parallel calls. Default is 10. Reduce if you hit rate limit errors."],["GPT Model","Select","(Optional) Select the GPT model. Default to GPT 4o mini."],["Model id","Text","Write the GPT model id, for example gpt-4o. Select Other in GPT Model first."],["Use Flex Mode","Boolean","Enable Flex mode for supported models. Flex mode provides cost-efficient processing with longer response times."],["Flex Timeout (seconds)","Number","Maximum time to wait for a Flex response. Default is 360 seconds (6 minutes); maximum is 1,500 seconds (25 minutes). Available when Use Flex Mode is enabled."]]},{"title":"Inputs","rows":[["Text","Text","Text to classify."]]},{"title":"Outputs","rows":[["Result","Text","The returned label, when available."],["Confidence","Text","Confidence level returned by the model: High, Medium, Low, or Very Low."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]}},"corner":{"title":"Try it for Free","body":"Sort every row of a CSV or Excel file into your own labels with your own OpenAI key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Classification with ChatGPT/OpenAI"},"EnrichmentAIResearchAgent":{"metadata":{"title":"AI Research Agent - Run Web Research on Every Row in Bulk | Datablist","description":"Give the agent a goal and the fields you want back. 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You define your own output fields in the prompt."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"The agent bills for the work it does, so this sizes your plan against the top of the range rather than the average.","unitsLabel":"Rows to research","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work, and why this is a range","creditsBody":"Unlike a fixed-price enrichment, the agent bills for what it actually does on each row: every Google search, every page it opens, every block of text it reads. A row it resolves from the first search result is cheap. A row that takes it through five pages is not. On a typical task at default settings that works out to somewhere between 3 and 25 credits per row, and credits are spent even on rows where it finds nothing. Max iterations limits research depth: raising it lets the agent dig deeper and raises the top of the estimated range with it. It is not a fixed credit cap. Treat the number as sizing guidance, not a quote. The range models the default model and one rendered scrape per row when Render HTML is enabled; more page visits or a different model can change the cost. Run a hundred rows first and read your real per-row cost off that. Plan credits renew monthly and reset if unused. Top-up credits never expire.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"settingsLabel":"Agent settings","iterationsLabel":"Max iterations per row","iterationOptions":["3 steps (tight, for simple lookups)","7 steps (default)","10 steps","15 steps"],"renderLabel":"Render HTML before scraping (+2 credits per scrape; estimates one scrape per row)","agentHint":"= {low} to {high} credits, at roughly {lowRate} to {highRate} credits per row"},"process":{"eyebrow":"The Process","title":"How it Works","description":"The agent runs your instruction once per row, on the live web, and writes structured results back into your columns.","steps":[{"label":"Step 1","title":"Tell it what you want","body":"Write the goal in plain English and pull your columns in by typing / and picking the property, for example: visit /Website and find the name and title of the owner. Or pick a ready-made template and skip the prompt entirely."},{"label":"Step 2","title":"It searches, opens, and reads","body":"For each row the agent runs Google searches, follows the links it finds, and reads the pages. Because it works from meaning rather than fixed selectors, it keeps working when a site's layout changes."},{"label":"Step 3","title":"Structured fields, not a blob of text","body":"You name the outputs up front, so results come back as real columns you can filter and sort. You can also add a confidence score from 0 to 100, and review run status when something went wrong."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made agent templates. No prompt writing required.","cards":[{"title":"Trustpilot Reviews","description":"Pull reviews and ratings for any company.","imageAlt":""},{"title":"YC Startup Directory","description":"Scrape companies and founders from Y Combinator.","imageAlt":""},{"title":"Product Hunt Scraper","description":"Extract launches, makers and taglines.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Find Small Business Owners (That Aren't in Any Database)","imageAlt":"How To Find Small Business Owners (That Aren't in Any Database)"},{"title":"How To Find Phone Numbers: Verified and AI Agent","imageAlt":"How To Find Phone Numbers: Verified and AI Agent"},{"title":"AI Web Scraping: Value vs. Hype","imageAlt":"AI Web Scraping: Value vs. Hype"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the AI Research Agent with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Turn the names the agent found into verified email addresses.","imageAlt":""},{"title":"Company Domain Finder","description":"Resolve company names to domains before you point the agent at them.","imageAlt":""},{"title":"Ask ChatGPT","description":"Classify or summarise data already in your collection, on your own key.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about usage-based credits, prompting, and what the agent can reach."},"guide":{"hero":{"title":"How to use Datablist's AI Research Agent","description":"Run Datablist's AI Research Agent on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Prompt","RichText","What the agent should do. Type / and select a property to pull a column into the prompt"],["Expected Outputs","MultipleValues","Define each field you want back. They must match what the prompt asks for"],["Advanced Settings","Checkbox","Reveals the model and max iterations controls"],["LLM Model","Select","Which model to run, from OpenAI, Google, and others. Defaults to GPT 4o-mini"],["Max iterations","Number","How many steps the agent may take per row, where a step is a search or a page visit. Defaults to 7, maximum 20. More steps costs more"],["Website Scraper Option: Render HTML","Checkbox","Render the page in a headless browser first, for JavaScript-rendered sites. Costs 2 credits per scrape. Off by default"]]},{"title":"Inputs","rows":[["Prompt variables","Varies","The row properties you select inside Prompt with /. The action has no separate standalone input fields"]]},{"title":"Outputs","rows":[["Your Expected Outputs","Varies","Every field you defined in the settings, written into its own column"],["Confidence Score","Number","How sure the agent is about the row, from 0 to 100. Higher is better"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Small Business Owners","imageAlt":"How To Find Small Business Owners"},{"title":"Company Name To Domain: 3 Bulk Methods","imageAlt":"Company Name To Domain: 3 Bulk Methods"},{"title":"How To Scrape Any Website Without Code","imageAlt":"How To Scrape Any Website Without Code"}]}},"corner":{"title":"Try it for Free","body":"Put a research assistant on every row of your list. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"AI Research Agent"},"EnrichmentCompanyDomainLinkedInMatcher":{"metadata":{"title":"LinkedIn Company URL/Website Lookup | Datablist","description":"Find a company's LinkedIn page from its website or domain, or find its website from a LinkedIn company page URL. 1.5 credits per successful lookup."},"tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or its website from a LinkedIn page URL, regular or Sales Navigator.","primary":"Match 333 companies free","guide":"Check Full Guide","note":"No credit card needed","trust":["1.5 Credits per Successful Lookup","Works in Both Directions","Match 333 Companies Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The matcher connects company websites and LinkedIn company pages in both directions. Datablist checks company datasets first and can use Google Search and LinkedIn page lookups to find or validate a match.","cards":[{"title":"What you give","items":["Company URL or Company LinkedIn Url: One column per run","Matching Type: Website to LinkedIn page, or the reverse","Any URL format: Domains, full URLs, regional and Sales Navigator links"],"links":["See full input reference"]},{"title":"What you get","items":["Company Name: As written on LinkedIn, when found","Company Website and LinkedIn Url: Clean, standardized URLs","Confidence and Status: high or low, plus success or not_found"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["1.5 Credits per Successful Lookup: Nothing charged for a miss","10 Credits for Sales Navigator: Sales Navigator URL to website lookups","About $0.0015 per Lookup: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company URL or Company LinkedIn Url. Output: Company Name, Company Website, Company LinkedIn Url, Confidence and Status.","groups":["Your data","Added by LinkedIn Company URL/Website Lookup"],"headers":["Company URL or Company LinkedIn Url","Company Name","Company Website","Company LinkedIn Url","Confidence","Status"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many companies you need to match and we'll show you the cheapest way to match them.","unitsLabel":"Companies to match","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which lookup do you need?","modes":["Standard lookup (1.5 credits per successful lookup)","Sales Navigator URL to website (10 credits per lookup)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. A standard lookup costs 1.5 credits and is only charged when the match succeeds. A Sales Navigator URL to website lookup costs 10 credits. The estimate assumes every company you enter is matched, so a list with misses costs less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"matcherHint":"= {credits} credits at {rate} credits per {mode, select, salesnav {lookup} other {successful lookup}}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Match websites and LinkedIn pages in either direction with one lookup.","steps":[{"label":"Step 1","title":"Upload your company list","body":"Import a CSV or Excel file with one company per row. The column can hold websites and domains, or LinkedIn company page URLs, including Sales Navigator links."},{"label":"Step 2","title":"Pick the matching direction","body":"Set Matching Type to get the LinkedIn company page from a website, or the website from a LinkedIn company page. Datablist checks company datasets first and can use Google Search and LinkedIn page lookups to find or validate a match."},{"label":"Step 3","title":"Get clean URLs and a confidence score","body":"Add the outputs you need: company name, website, standard LinkedIn URL, confidence and status. You pay 1.5 credits for each successful lookup and nothing for a miss."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"Company Name to Website","description":"Find the website that matches a company name.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"3Min Guide: Get Website URLs From LinkedIn Company Pages","imageAlt":"3Min Guide: Get Website URLs From LinkedIn Company Pages"},{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the matcher with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public information from LinkedIn company pages.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about matching directions, billing and URL formats."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Company URL/Website Lookup","description":"Run Datablist's LinkedIn Company URL/Website Lookup on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Matching Type","Text","Specify the type of conversion you need."]]},{"title":"Inputs","rows":[["Company URL or Company LinkedIn Url","-","Map a company website to get the Company LinkedIn Url, Or a Company LinkedIn Url to get the company website."]]},{"title":"Outputs","rows":[["Company Name","Text","The company name, when found."],["Company Website","Url","The company website (ex: https://www.google.com), when found."],["Company LinkedIn Url","Url","The clean company Linkedin Page (ex: https://www.linkedin.com/company/datablist/)."],["Confidence","Text","Confidence score: high (website validated) or low (not validated)"],["Status","Text","One of: success, not_found, empty_data, bad_data"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"3Min Guide: Get Website URLs From LinkedIn Company Pages","imageAlt":"3Min Guide: Get Website URLs From LinkedIn Company Pages"},{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"}]}},"corner":{"title":"Try it for Free","body":"Match company websites and LinkedIn pages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"LinkedIn Company URL/Website Lookup"},"FAQ":{"TITLE":"De beste spør ofte","WHAT_IS_TITLE":"Hva er Datablist?","WHAT_IS_TEXT":"Datablist er et AI-drevet regneark som lar deg jobbe med dataene dine på enklest mulig måte, enten det gjelder deduplisering, datavask, bearbeiding, beriking eller automatisering av workflows.","TECHNICAL_TITLE":"Er Datablist laget for tekniske brukere?","TECHNICAL_TEXT":"Datablist er for alle som trenger å jobbe med data – fra nybegynnere til avanserte brukere. Vårt regnearkgrensesnitt og våre læringsressurser gjør at du kan være produktiv fra dag én.","INDUSTRIES_TITLE":"Hvilke bransjer og team bruker Datablist?","INDUSTRIES_TEXT":"Selv om flertallet av kundene våre er innen salg, e-handelsdrift, SaaS-vekst eller finans, er vi ikke begrenset til bestemte bransjer eller team — vi jobber gjerne med alle.","INTEGRATIONS_TITLE":"Hvilke verktøy kan vi integrere med Datablist?","INTEGRATIONS_TEXT":"Datablist kan integreres med mange CRM-er, og lar deg kutte ut flere abonnementer, for eksempel scrapers og email findere. Det låser også opp verktøy som ingen andre plattformer har, som vår AI-forskningsagent og dedupliseringsassistent."},"FeatAIAgent":{"PAGE_TITLE":"AI Agent: Automatiser web-research og datauttrekk","PAGE_DESC":"Bruk Datablists AI Agent til å scrape hvilket som helst nettsted, automatisere Google-søk, og hente ut strukturerte data med enkle prompts. Ingen kode kreves.","HERO_TITLE":"Din automatiserte AI-researchassistent","DESCRIPTION":"Slutt å kaste bort timer på manuelt research-arbeid. Beskriv målet ditt med enkle ord, så vil AI Agent søke på Google, bla gjennom nettsteder og hente ut de presise dataene du trenger—helt automatisk.","FEATURE":"Funksjon","POWERFUL_AUTOMATION":"Kraftig automatisering","100%ONLINE":"100 % online","EASY_TO_USE":"Enkel å bruke","BEYOND_SCRAPING_TITLE":"Gå lenger enn tradisjonell scraping","BEYOND_SCRAPING_DESC_1":"Tradisjonelle webscrapere er basert på rigide regler og slutter å fungere idet layouten til et nettsted endres. De forstår ikke kontekst eller håndterer komplekse, dynamiske sider.","BEYOND_SCRAPING_DESC_2":"AI Agent er annerledes. Drevet av avanserte store språkmodeller forstår den innholdets mening, ikke bare HTML-strukturen. Den navigerer på nettsteder som et menneske, noe som gjør den mer robust, allsidig og i stand til å hente ut nyansert informasjon.","BEYOND_SCRAPING_DESC_3":"Gi den et mål, så planlegger og utfører den trinnene som trengs—fra å følge lenker og paginere gjennom resultater til å analysere ustrukturert tekst.","HOW_IT_WORKS_TITLE":"Slik fungerer AI Agent","HOW_IT_WORKS_DESC":"AI Agent følger en enkel, men kraftig prosess for å gjøre forespørselen din om til strukturerte data.","STEP_1_TITLE":"1. Du setter målet","STEP_1_DESC":"Oppgi en start-URL og en tydelig prompt som forklarer hvilke data du vil hente ut og hvordan de skal formateres.","STEP_2_TITLE":"2. Agenten navigerer og forstår","STEP_2_DESC":"Agenten besøker nettstedet, rendrer JavaScript og analyserer innholdet for å forstå konteksten og finne relevant informasjon.","STEP_3_TITLE":"3. Den håndterer komplekse sider","STEP_3_DESC":"Trenger du å scrape en liste over flere sider? Bare aktiver paginering. Agenten vil intelligent finne og klikke 'next' for å hente data fra alle sidene.","STEP_4_TITLE":"4. Data hentes ut og struktureres","STEP_4_DESC":"Basert på prompten din henter agenten ut de spesifiserte datapunktene og leverer dem ryddig inn i dine forhåndskonfigurerte kolonner.","USE_CASES_TITLE":"Fra leadgenerering til markedsinnsikt: uendelige muligheter","USE_CASE_LEAD_GEN_TITLE":"Gi ekstra fart på leadgenereringen","USE_CASE_LEAD_GEN_DESC":"Finn hyperrelevante personaliseringspunkter i skala. Scrape selskapenes case-studier, identifiser nøkkelpersoner på 'Om oss'-sider, eller hent ut kontaktopplysninger fra tyske 'Impressum'-sider.","USE_CASE_LEAD_GEN_LINK":"Se hvordan du scraper case-studier","USE_CASE_ECOMMERCE_TITLE":"E-commerce og produkt-scraping","USE_CASE_ECOMMERCE_DESC":"Hent ut produktnavn, priser, spesifikasjoner og beskrivelser fra enhver e-commerce-butikk, selv på tvers av flere kategorisider.","USE_CASE_ECOMMERCE_LINK":"Lær å scrape e-commerce-nettsteder","USE_CASE_REVIEWS_TITLE":"Anmeldelser og sentimentanalyse","USE_CASE_REVIEWS_DESC":"Samle kundetilbakemeldinger ved å scrape plattformer som Trustpilot eller Trusted Shops. Analyser sentiment og identifiser vanlige temaer for å forstå markedet.","USE_CASE_REVIEWS_LINK":"Guide til å scrape Trustpilot","USE_CASE_RESEARCH_TITLE":"Automatisert markedsanalyse","USE_CASE_RESEARCH_DESC":"Automatiser repeterende Google-søk for hver rad i regnearket ditt. Overvåk konkurrentnyheter, spor bransjetrender, eller samle data til rapporter uten manuelt arbeid.","USE_CASE_RESEARCH_LINK":"Lær å automatisere Google-søk","VIDEO_TITLE":"Se AI Agent i aksjon","VIDEO_TEXT":"Se hvordan AI Agent kan besøke en liste over tyske nettsteder, finne 'Impressum'-siden og hente ut strukturert kontaktinformasjon—en oppgave som er umulig for tradisjonelle webscrapere.","TALK_TO_US_TEXT":"Klar til å sette web-research på autopilot? Prøv AI Agent og begynn å gjøre ustrukturerte webdata om til handlingsrettet innsikt.","CSV_EDITOR_DESCRIPTION":"En moderne CSV-editor for å håndtere CSV-filene dine på nett. Åpne og rediger dataene dine direkte i nettleseren.","LEAD_LIST_BUILDING":"Bygg, rens og berik lead-listene dine","LEAD_BUILDING_DESCRIPTION":"Det beste verktøyet for å gå i dybden på lead-lister i stor skala. Organiser, berik og finn de perfekte prospektene."},"FeatAIEditing":{"PAGE_TITLE":"AI Editing: Automatiser Excel- og CSV-oppgaver med prompts","PAGE_DESC":"Bytt ut komplekse formler og makroer. Bruk enkle prompts til å vaske, transformere og analysere dataene dine i bulk med AI Editing-funksjonen i Datablist.","HERO_TITLE":"Automatiser regnearkoppgaver med AI","DESCRIPTION":"Slutt å kjempe med komplekse formler. Beskriv bare hva du trenger på enkel engelsk, og la AI-en vår generere det perfekte skriptet for å vaske, transformere og analysere dataene dine på sekunder.","FEATURE":"Funksjon","UNLIMITED":"Ubegrenset bruk","100%ONLINE":"100 % online","NO_CODE":"Uten kode","REPLACE_FORMULAS_TITLE":"Bytt ut formler med enkle prompts","REPLACE_FORMULAS_DESC_1":"Lei av å slå opp VLOOKUP-syntaks eller feilsøke komplekse Excel-formler? Med AI Editing kan du si farvel til formelfrustrasjon.","REPLACE_FORMULAS_DESC_2":"Skriv bare hva du vil gjøre, så genererer AI-en vår umiddelbart et skreddersydd skript som håndterer oppgaven. Det er som å ha en dataekspert ved din side, klar til å automatisere enhver endring.","REPLACE_FORMULAS_DESC_3":"Enten du vasker firmanavn, standardiserer adresser eller scorer leads, gjør AI Editing instruksjonene dine om til handling.","HOW_IT_WORKS_TITLE":"Slik fungerer det: Fra prompt til perfekte data i 4 trinn","STEP_1_TITLE":"1. Importer dataene dine","STEP_1_DESC":"Last opp CSV- eller Excel-filen din til Datablist. Plattformen vår håndterer store datasett uten problemer, så du kan jobbe med hele listen på én gang.","STEP_2_TITLE":"2. Åpne AI Editing","STEP_2_DESC":"Gå til 'Edit'-menyen og velg 'AI Editing'. Dette åpner prompt-grensesnittet der magien skjer.","STEP_3_TITLE":"3. Skriv prompten din","STEP_3_DESC":"Beskriv oppgaven du vil utføre. Bruk variabler ved å skrive /ColumnName for å referere til dataene dine. Vær så spesifikk som du trenger!","STEP_4_TITLE":"4. Forhåndsvis og kjør","STEP_4_DESC":"AI-en genererer et skript og viser en live forhåndsvisning av endringene. Hvis det ser riktig ut, klikk 'Run' for å behandle hele listen din umiddelbart.","USE_CASES_TITLE":"Lås opp kraftige bruksområder","USE_CASE_FIND_REPLACE_TITLE":"Søk og erstatt i bulk","USE_CASE_FIND_REPLACE_DESC":"Bytt ut hundrevis av termer i datasettet ditt med én instruksjon. Perfekt for å standardisere kategorier, rette vanlige skrivefeil eller oppdatere produktinformasjon.","USE_CASE_FIND_REPLACE_LINK":"Lær mer om 'søk og erstatt' i bulk","USE_CASE_CLEANING_TITLE":"Avansert datavask","USE_CASE_CLEANING_DESC":"Vask og normaliser komplekse data som firmanavn ved å fjerne juridiske suffikser (LLC, Inc.) eller standardisere stillingstitler og adresser.","USE_CASE_CLEANING_LINK":"Se hvordan du vasker firmanavn","USE_CASE_SCORING_TITLE":"Tilpasset lead scoring og datascoring","USE_CASE_SCORING_DESC":"Opprett avanserte scoringsmodeller basert på flere kriterier i dataene dine. Tildel poeng, ranger leads og prioriter listene dine uten én eneste formel.","USE_CASE_SCORING_LINK":"Lær å score leads med AI","USE_CASE_TRANSFORM_TITLE":"Kompleks datatransformasjon","USE_CASE_TRANSFORM_DESC":"Fra å hente ut spesifikke deler av en tekst til å utføre betinget logikk håndterer AI Editing transformasjoner som er nær umulige med standard regnearkfunksjoner.","USE_CASE_TRANSFORM_LINK":"Se flere eksempler på datavask","VIDEO_TITLE":"Se AI Editing i aksjon","LEAD_BUILDING_DESCRIPTION":"Det beste verktøyet for å dykke ned i lead-lister med høyt volum. Organiser, berik og finn de perfekte prospektene.","VIDEO_TEXT":"Se hvordan du oppdaterer katalogenheter med en enkel prompt. Ingen formler, ingen styr.","TALK_TO_US_TEXT":"Klar for å slutte å kaste bort tid på manuelle regnearkoppgaver? Prøv AI Editing og transformer data-workflowen din i dag!","CSV_EDITOR_DESCRIPTION":"En moderne CSV-editor for å håndtere CSV-filene dine online. Åpne og rediger dataene dine direkte i nettleseren","LEAD_LIST_BUILDING":"Bygg, vask og berik lead-listene dine","SEE_ALSO":"Se også"},"FeatCombine":{"PAGE_TITLE":"Konsolider og slå sammen CSV-filer gratis","PAGE_DESC":"Koble sammen CSV-listene dine basert på en felles identifikatorkolonne.","FEATURE":"Funksjon","NOSIGNUP":"Ingen registrering nødvendig","100%ONLINE":"100 % nettbasert","EASY_TO_USE":"Enkelt å bruke","HERO_TITLE":"Konsolider og slå sammen CSV-filer gratis","HERO_DESC":"Koble sammen CSV-listene dine basert på en felles identifikatorkolonne.","DATA_RECONCILIATION_DEF":"Hva er dataavstemming?","DATA_RECONCILIATION_DEF_DESC_1":"Dataavstemming er prosessen med å sammenligne og samkjøre data fra forskjellige kilder. Denne prosessen skjer typisk når det finnes flere datakilder med relatert informasjon.","DATA_RECONCILIATION_DEF_DESC_2":"Disse kildene kan omfatte databaser, regneark, programvaresystemer eller til og med manuelle registreringer. Målet er å avstemme dataene for å skape et pålitelig og konsistent datasett.","DATA_RECONCILIATION_DEF_DESC_3":"Dataavstemming gir verdifulle innsikter for beslutningstaking ved å koble sammen fragmenterte data. Det brukes ofte i regnskap, lagerstyring, markedsføring osv.","JOIN_TITLE":"Slå sammen CSV-filene dine til én samling","JOIN_DESC_1":"Google Sheets eller Microsoft Excel er fine verktøy for regnskapsoppgaver, men mangler funksjoner for datastyring. Andre spesialiserte verktøy finnes for data scientists, som ETL (Extract, Transform, Load), men de er ikke tilgjengelige for ikke-tekniske brukere.","JOIN_DESC_2":"I Datablist angir du bare nøkkelfeltet som skal brukes for å konsolidere CSV-filene dine, så gjør verktøyet resten.","SEE_TUTO":"Se veiledning","TALK_TO_US_TEXT":"Prøv Datablist og se hvor enkelt listesammenslåing kan være. Over 18 000 brukere har allerede tatt det i bruk!","MERGE_TITLE":"Slå sammen data fra flere kilder","MERGE_DESC_1":"I en digital verden er håndtering av lister en hyppig oppgave. Enten du:","MERGE_EX_1":"Bygger én samlet visning av kundene dine","MERGE_EX_2":"Oppretter en liste over prospekter fra flere kilder","MERGE_EX_3":"Beriker en e-postliste med kontaktinformasjon","MERGE_DESC_2":"Du trenger et verktøy som Datablist for å slå sammen og administrere dataene dine.","WHEN_COMBINE_DATA":"Når bør du kombinere datafiler?","WHEN_COMBINE_TITLE_1":"Konsolider kundefiler","WHEN_COMBINE_DESC_1":"Å konsolidere kundefiler er avgjørende for å skape én samlet visning av kundene dine. Når virksomheter samhandler med kunder på ulike kontaktpunkter, som salg, markedsføring, kundestøtte og digitale plattformer, blir verdifulle data spredt på forskjellige systemer og databaser. Koble sammen kundedataene dine ved hjelp av e-postadresse eller en annen unik identifikator. Da får alle teamene dine, som markedsføring, salg og kundeservice, tilgang til denne enhetlige og komplette visningen.","WHEN_COMBINE_TITLE_2":"Berik ordredata med produktkataloger","WHEN_COMBINE_DESC_2":"I netthandel håndterer du to hovedlister: en produktliste og en ordreliste. Ordrelisten har en referanse til produktet som er kjøpt. Ved å konsolidere produktegenskapene dine med ordreliste din får du innsikt fra salget, som hvilke hovedkategorier som selger. Du kan også konsolidere andre eksterne data, for eksempel trafikkstatistikk fra nettstedet ditt.","WHEN_COMBINE_TITLE_3":"Aggreger selskapsdata for å bygge prospektlisten din","WHEN_COMBINE_DESC_3":"Når du bygger prospektlisten din, jo mer data du har om selskapene, desto bedre kan du segmentere prospektene. Datakonsolidering er nyttig for å <doc>berike prospektlisten</doc> med eksterne datakilder: antall ansatte, siste finansieringsrunde, omsetning og estimert webtrafikk. Med nøyaktig og oppdatert informasjon om potensielle prospekter forbedrer du scoringen og reduserer tiden brukt på ukvalifiserte prospekter.","WHEN_COMBINE_LINK_3":"Lær mer om bygging av prospektlister","WHEN_COMBINE_TITLE_4":"Berik leads med markedsføringsdata","WHEN_COMBINE_DESC_4":"Ved å samle data fra ulike kilder, som nettstedsanalyse, måltall for sosiale medier og kundesamhandlinger, får bedrifter et helhetlig bilde av målgruppen. Et perfekt bruksområde for datakonsolidering er å bruke resultater fra e-postkampanjer på leads-listen din. Fremhev de leadsene som åpner eller klikker på e-posten, og målrett dem via andre kanaler som LinkedIn eller andre sosiale nettverk. Ved å berike leads med konsolidert data øker du konverteringene og unngår å bruke tid og penger på uinteresserte leads."},"FeatDuplicates":{"PAGE_TITLE":"Gratis dedupliseringsverktøy","PAGE_DESC":"Dedupliser listene dine på én eller flere kolonner. No-Code-konfigurasjon og enkelt å bruke for ikke-tekniske personer.","SEE_ALSO":"Se også","LEARN_MORE":"Les mer","GET_STARTED":"Kom i gang!","FEATURE":"Funksjon","NOSIGNUP":"Ingen registrering nødvendig","100%ONLINE":"100 % online","EASY_TO_USE":"Enkelt å bruke","NO_TECHNICAL_REQUIRED":"Ingen teknisk kunnskap nødvendig","NOCODE_CONF":"No-Code-konfigurasjon","EXPORT_CSV_TITLE":"Eksporter til CSV- eller Excel-filer","EXPORT_CSV_DESC_1":"Trenger du å overføre dataene dine til en annen applikasjon eller et regneark?","EXPORT_CSV_DESC_2":"<0>Dataene er alltid dine</0>, bare eksporter valgte poster eller hele samlingen din til en CSV-fil eller en Microsoft Excel-fil.","EXPORT_CSV_DESC_3":"Genererte CSV-filer er kompatible med Google Sheets og alle vanlige applikasjoner.","OK_GO":"Ok, la oss komme i gang!","RESOURCES":"Ressurser","AI_TITLE":"AI-behandling av duplikater","AI_TEXT":"Generer nye data, rediger eksisterende informasjon, og bygg systemer fra bunnen av med enkle prompts.","CSV_EDITOR_DESCRIPTION":"En moderne CSV-redigerer for å håndtere CSV-filene dine på nett. Åpne og rediger dataene dine direkte i nettleseren.","LEAD_BUILDING_DESCRIPTION":"Det beste verktøyet for å dykke ned i store lead-lister. Organiser, berik og finn de perfekte prospektene.","COMBINE_DESCRIPTION":"Kombiner listefiler fra flere kilder til én samling. Enkelt å bruke og for ikke-tekniske brukere.","TALK_TO_US_TEXT":"Prøv Datablist og se hvor enkelt datamatching og deduplisering av poster kan være. 18 000+ brukere opplever det allerede!","HERO_TITLE":"Gratis verktøy for fjerning av duplikater","DESCRIPTION":"Endelig et brukervennlig alternativ til Excel for datadeduplisering. Finn, slå sammen eller fjern dupliserte verdier i CSV- eller Excel-filer.","DEDUPLICATION_DEF_TITLE":"Hva er deduplisering av data?","DEDUPLICATION_DEF_DESC_1":"Deduplisering av data, eller <doc>deduping</doc>, er prosessen med å fjerne dupliserte poster fra et datasett.","DEDUPLICATION_DEF_DESC_2":"Deduplisering er nødvendig for å ha en liste med unike oppføringer. I markedsføring med mailinglister, i lead generation, eller kundeadministrasjon. Eller i e-handel ved håndtering av produktkataloger. To oppføringer er duplikater når de refererer til samme enhet. To leads med samme email-adresse, eller to produkter med samme strekkode.","DEDUPLICATION_DEF_DESC_3":"Duplikater påvirker kvaliteten på dataene dine og reduserer produktiviteten. To løsninger finnes for å bli kvitt duplikater: slett dem, eller slå sammen like oppføringer til én.","DEDUPLICATION_DEF_DESC_4":"Å slette duplikater er enkelt; dedupliseringsalgoritmen finner duplikatpostene og sletter alle unntatt én post. Å slå sammen duplikater krever analyse av duplikatpostene for å kombinere dem til én masterpost.","DUPLICATES_MODE_TITLE":"Full eller delvis analyse av poster, på én eller flere datasamlinger","DUPLICATES_MODE_DESC_1":"Datablist Duplicates Finder fungerer med full postsammenligning eller med utvalgte egenskaper.","DUPLICATES_MODE_DESC_2":"Bruk modusen Valgte egenskaper for å finne duplikate kontakter basert på email-adressen deres eller for å oppdage duplikater i en liste over selskaper ved hjelp av deres nettsteds-URL.","DUPLICATES_MODE_DESC_3":"Datablist Duplicates Finder fungerer med én eller flere lister. På tvers av flere lister bruker dedupliseringsalgoritmen felttilordning for å sammenligne poster på tvers av datasett.","MERGE_TITLE":"Slett eller konsolider duplikater","DUPLICATES_PREVIEW_TITLE":"Forhåndsvisning av duplikater","DUPLICATES_PREVIEW_DESC_1":"Datablist lister opp de duplikatene som er funnet slik at du kan velge hvilken operasjon som skal utføres.","DUPLICATES_PREVIEW_DESC_2":"Åpne duplikatpostene i detaljvisningen for å redigere og slå sammen informasjon. Eller slett duplikatene.","DUPLICATES_AUTO_MERGING_TITLE":"Slå automatisk sammen duplikater uten konflikter","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist finner automatisk alle dupliserte verdier som kan slås sammen uten å miste informasjon.","DUPLICATES_AUTO_MERGING_BULLET_1":"Når alle duplikatposter har de samme egenskapsverdiene, beholdes bare én post og de andre slettes.","DUPLICATES_AUTO_MERGING_BULLET_2":"Hvis duplikatpostene er komplementære, velges posten med mest informasjon som primærpost, og dens egenskapsverdier fylles ut ved å bruke egenskapsverdier fra de andre postene. Deretter slettes alle poster bortsett fra primærposten.","DUPLICATES_AUTO_MERGING_BULLET_3":"Hvis duplikatposter har motstridende egenskapsverdier, hoppes postene over for manuell sammenslåing.","MERGING_ASSISTANT_TITLE":"Eller kontroller konflikter manuelt med sammenslåingsassistenten","MERGING_ASSISTANT_DESC_1":"Når automatisk sammenslåing ikke er mulig, bruk Datablists sammenslåingsassistent for å velge hvilken verdi som skal beholdes og konsolidere postene dine.","MERGING_ASSISTANT_DESC_2":"Posten med mest informasjon velges som masterpost og mottar komplementære verdier fra sekundære poster.","DUPLICATES_DEDUPE_TITLE":"Brukervennlig DeDupe-verktøy","DUPLICATES_DEDUPE_DESC_0":"Dagens dedupliseringsverktøy retter seg mot tekniske brukere. De er vanskelige å bruke med endeløse konfigurasjonsinnstillinger.","DUPLICATES_DEDUPE_DESC_1":"Med Datablist blir datamanipulasjon enkelt! Deduplisering av data er endelig tilgjengelig for alle.","DUPLICATES_DEDUPE_DESC_2":"Dedupliser hundretusener av poster direkte i nettleseren din.","DUPLICATES_AUTO_MERGE_TITLE":"Automatisk sammenslåing under import","DUPLICATES_AUTO_MERGE_DESC_1":"I tillegg til Duplicates Finder kan du sette en 'Unique values'-innstilling på egenskapene i samlingen din.","DUPLICATES_AUTO_MERGE_DESC_2":"Under dataimport, når en post fra den importerte filen finnes i samlingen eller et annet sted i filen, vil dataene bli slått sammen eller slettet i henhold til sammenslåingsmodusen.","DATA_DEDUP_WHEN_TITLE":"Når bør du bruke deduplisering av data?","DATA_DEDUP_WHEN_MAIL_TITLE":"Deduplisering av mailinglister","DATA_DEDUP_WHEN_MAIL_DESC_1":"Over tid vil flere kilder flyte inn i mailinglisten din. Med webinar-deltakere, kjøpere, freemium-brukere osv. kan en email-adresse dukke opp flere ganger på mailinglisten.","DATA_DEDUP_WHEN_MAIL_DESC_2":"Dupliserte email-adresser påvirker markedsføringskampanjene dine med ekstra kostnader, spamaktig oppførsel, og risiko for brukerfrustrasjon hvis de fortsatt mottar utsendelser etter å ha avsluttet abonnementet på en kampanje.","DATA_DEDUP_WHEN_MAIL_LINK":"Hvordan rydde en mailingliste","DATA_DEDUP_WHEN_EXCEL_TITLE":"Deduplisering i Microsoft Excel","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets, Microsoft Excel og andre regnearkverktøy tilbyr grunnleggende dedupliseringsfunksjoner. De fremhever dupliserte verdier i en kolonne eller sletter dem. Bruk Datablists automatiske sammenslåing og den manuelle sammenslåingsassistenten for å håndtere komplekse duplikatposter.","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist åpner både CSV- og Excel-filer.","DATA_DEDUP_WHEN_EXCEL_LINK":"Hvordan deduplisere en Excel-fil","DATA_DEDUP_WHEN_LEAD_TITLE":"Verktøy for deduplisering av leads og prospekter","DATA_DEDUP_WHEN_LEAD_DESC_1":"I B2B-markedsføring påvirker kvaliteten på prospektdatabasen resultatene av kampanjene dine. En rotete liste med <doc>dupliserte leads</doc> øker lagringskostnader, reduserer effektiviteten i lead-sporing, og skaper frustrasjon i salgsteamet.","DATA_DEDUP_WHEN_LEAD_DESC_2":"Administrer dine <doc>lead generation</doc>-prosesser med Datablist. Eller importer CRM-dataene dine, eller lead-lister til Datablist for å rense dem.","DATA_DEDUP_WHEN_LEAD_LINK":"Hvordan deduplisere lead-lister","DATA_DEDUP_WHEN_CSV_TITLE":"Dedupliser CSV-filer","DATA_DEDUP_WHEN_CSV_DESC_1":"Rydding i CSV-data er tidkrevende. Dataingeniører bruker programmeringsspråk som Python for å tolke og rydde CSV-data. Datablist tilbyr et No-Code-verktøy for å utføre datarensingsprosesser med dine <a1>CSV-filer</a1> for ikke-tekniske brukere. <a2>Åpne CSV-filer med hundretusener av rader</a2> og dedupliser poster raskt.","DATA_DEDUP_WHEN_CSV_LINK":"Hvordan deduplisere en CSV-fil","SEE_ALSO_CSV_EDITOR":"CSV-redigerer","SEE_ALSO_GUIDE_EXCEL":"Guide: Slå sammen dupliserte rader i en Excel-fil uten å miste data","SEE_ALSO_GUIDE":"Guide: Fjern CSV-duplikater","SEE_ALSO_GUIDE_LARGE_CSV":"Guide: Rediger store CSV-filer på nett","SEE_ALSO_COMBINE":"Kombiner CSV-filer","LEAD_LIST_BUILDING":"Bygg, rydd og berik lead-listene dine","FIND_DUPLICATE_ONLINE_TITLE":"Finn og fjern duplikater på nett","FIND_DUPLICATE_ONLINE_DESC_1":"Oppdag, slå sammen og fjern duplikater i dataene dine umiddelbart. Med et brukervennlig webgrensesnitt får du enkel tilgang fra enhver enhet, uten kompliserte installasjoner.","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist bruker avanserte algoritmer for raskt å identifisere duplikater, noe som sparer tid og forhindrer feil. Si farvel til manuelle søk og velkommen til en strømlinjeformet workflow.","FUZZY_MATCHING_TITLE":"Deduplisering med fuzzy matching","FUZZY_MATCHING_ONLINE_DESC_1":"Fuzzy-dedupliseringsalgoritmer beregner avstanden mellom poster. Ved å bruke en terskel definerer du når to poster er like. I motsetning til eksakt matching identifiserer <0>fuzzy matching</0> intelligent variasjoner og håndterer tastefeil, forkortelser og små forskjeller i postene dine.","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist implementerer algoritmene for <0>Levenshtein</0>- og <1>Jaro-Winkler</1>-avstand.","CONSOLIDATE_DUPES_TITLE":"Konsolider duplikater for å beholde én post","CONSOLIDATE_DUPES_DESC_1":"Når en enkel sammenslåing ikke er nok, bruk de avanserte funksjonene: kombiner eller forkast dupliserte verdier for å konsolidere duplikatpostene dine.","CONSOLIDATE_DUPES_DESC_2":"Datablist viser feltene i konflikt og lar deg velge hvordan du vil håndtere dem. Bruk Kombiner verdier for datakonkatenasjon. Og Forkast verdier for å beholde verdien fra én masterpost.","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"Bruk Datablists AI Agent til å scrape hvilket som helst nettsted, automatisere Google-søk og hente ut strukturert data med enkle prompts. Ingen kode nødvendig.","FAQ_Q1":"Er Duplicates Finder gratis å bruke?","FAQ_A1":"Ja, du kan finne og slå sammen duplikater på nett gratis. Grunnleggende funksjoner som 'Exact' og 'Smart' matching er tilgjengelige uten konto. For avanserte algoritmer som fuzzy eller fonetisk matching, trengs en betalt plan.","FAQ_Q2":"Hvordan skiller dette seg fra Excels 'Remove Duplicates'-funksjon?","FAQ_A2":"Excel sletter dupliserte rader permanent, noe som gjør at du kan miste potensielt verdifulle data fra disse postene. Datablist slår sammen poster og kombinerer komplementær informasjon fra alle duplikater til én fullstendig masterpost. Du mister ingen data.","FAQ_Q3":"Hvor stor liste kan jeg deduplisere?","FAQ_A3":"Datablist er bygget for å håndtere store filer. Du kan behandle lister med opptil 1 million rader på gratisplanen og opptil 1,5 millioner rader på våre betalte planer, langt utover grensene til tradisjonelle regnearkverktøy.","FAQ_Q4":"Kan den finne duplikater med skrivefeil eller små variasjoner?","FAQ_A4":"Absolutt. Verktøyet vårt bruker avanserte fuzzy matching-algoritmer, som Levenshtein- og Jaro-Winkler-avstand, for å identifisere like poster selv med feilstavinger, skrivefeil eller små formateringsforskjeller.","FAQ_Q5":"Hvordan håndterer den felt med flere verdier, som to email-adresser i én celle?","FAQ_A5":"Den er laget for akkurat det. Du kan aktivere \"Multiple Value Matching\" for å behandle hver verdi i en celle (separert med semikolon) som en egen oppføring ved sammenligning. Den finner et treff selv om bare én av verdiene er et duplikat.","FAQ_Q6":"Kan jeg finne duplikater på tvers av flere CSV- eller Excel-filer?","FAQ_A6":"Ja. Du kan importere flere filer til Datablist og kjøre Duplicates Finder på tvers av alle. Den kan matche poster basert på en felles identifikator, selv om filene har ulike kolonner eller strukturer.","FAQ_Q7":"Må jeg kunne kode for å bruke det?","FAQ_A7":"Ikke i det hele tatt. Datablist er en helt no-code-løsning. Duplicates Finder guider deg gjennom en enkel, trinnvis prosess der du velger kolonner og matchingsregler fra et brukervennlig grensesnitt.","FAQ_Q8":"Hvordan kan AI hjelpe med å slå sammen duplikater?","FAQ_A8":"Funksjonen vår AI Editing gir deg ubegrenset fleksibilitet. I stedet for standard sammenslåingsregler kan du skrive instruksjoner på enkel engelsk. For eksempel kan du be den summere salgstall fra duplikatposter eller velge masterpost basert på den nyeste datoen. Det gjør kompleks logikk om til en enkel forespørsel.","FAQ_Q9":"Hva skjer med dataene mine når jeg slår sammen duplikater?","FAQ_A9":"Datablist konsoliderer dataene dine i én masterpost. Den fyller automatisk ut manglende informasjon fra andre duplikater og gir deg alternativer for konflikter: du kan kombinere tekst fra ulike rader eller velge hvilken verdi som skal beholdes. De overflødige postene slettes deretter.","FAQ_Q10":"Hvilke matchingsalgoritmer er tilgjengelige?","FAQ_A10":"Vi tilbyr flere algoritmer for ulike behov: 'Exact' for identiske treff, 'Smart' for variasjoner som ordrekkefølge eller URL-protokoller, 'Phonetic' for navn som høres like ut, og 'Fuzzy Matching' for skrivefeil og feilstavinger.","FAQ_Q11":"Kan jeg eksportere listen over duplikatgrupper for å gjennomgå dem før sammenslåing?","FAQ_A11":"Ja. Etter at Datablist har identifisert alle duplikatgruppene, kan du eksportere dem til en CSV- eller Excel-fil før du gjør endringer. Denne filen lister alle duplikatpostene fortløpende, med hver gruppe listet etter hverandre, noe som gjør det enkelt å gjennomgå dem eksternt eller behandle dem med et annet verktøy.","FAQ_Q12":"Etter at jeg har slått sammen duplikater i Datablist, hvordan kan jeg oppdatere CRM-et mitt?","FAQ_A12":"Når du er ferdig med sammenslåingen, gir Datablist en nedlastbar 'Changes List'. Denne filen fungerer som en logg og viser alle poster som ble oppdatert eller slettet i prosessen. Du kan bruke denne filen til enkelt å replikere endringene i ditt eksterne system, som et CRM, slik at dataene dine forblir helt synkronisert."},"CSVEditor":{"PAGE_TITLE":"Gratis nettbasert CSV-editor og -viser","PAGE_DESC":"En moderne CSV-editor for å håndtere CSV-filene dine på nett. Åpne og rediger dataene dine direkte i nettleseren","HEADER_TITLE":"Nettbasert CSV-editor og -viser","HEADER_DESC_1":"Utforsk og rediger CSV-filer med leads, kunder eller produkter på nett.","NO_SIGNUP":"Ingen registrering nødvendig","ONLINE_100":"100 % nettbasert","NO_CODE_CONFIG":"No-code-konfigurasjon","CSV_DEF_TITLE":"Hva er en CSV-fil?","CSV_DEF_DESC_1":"CSV står for 'Comma Separated Value(s)' og er et format for å lagre strukturert data i tekstfiler. I en CSV-fil er hver linje en dataoppføring. Hver oppføring består av felt separert med komma (eller noen ganger semikolon ';' eller tabulator-tegn).","CSV_DEF_DESC_2":"CSV-filer er en vanlig måte å overføre data mellom applikasjoner på. Fordi det baserer seg på tekstfiler, er CSV-formatet en enkel måte å eksportere data fra databaser eller regneark.","EDIT_TITLE":"Åpne CSV-filer på nett","EDIT_DESC_1":"Last opp CSV-filene dine direkte i nettleseren. Datablist CSV Editor oppdager automatisk kolonneseparatoren i CSV-filen.","EDIT_DESC_2":"Velg hvilke CSV-kolonner som skal importeres og definer datatyper: Tekst, LongText, dato, tall, email-adresse osv.","EDIT_DESC_3":"Når de er importert, bruk Datablist til å sortere på enhver egenskap og filtrere dataene dine med fulltekstsøk.","DATA_MANIP_TITLE":"Rens og konsolider CSV-filene dine","DATA_MANIP_DESC":"Slutt å bruke Excel eller Google Sheets til datamanipulasjon 😱!","WHY_USE_CSV_TITLE":"Hvorfor bruke Datablists CSV-editor?","WHY_USE_CSV_BLOC_TITLE_1":"Rens mailinglisten din","WHY_USE_CSV_BLOC_DESC_1":"Email-lister er en perfekt måte å nå brukerbasen din på. Men over tid blir en liste rotete. Forbedre leveringsgrad og spar penger med Datablist. Fjern duplikater og ugyldige email-adresser enkelt.","WHY_USE_CSV_BLOC_TITLE_2":"Administrer produktkatalogene dine","WHY_USE_CSV_BLOC_DESC_2":"Alle e-handelsverktøy tillater import/eksport av produktkataloger med CSV-filer. Enten du rydder i produktkatalogen før du sender den til Google Shopping, eller konsoliderer flere butikker i én samling, er Datablist skreddersydd for håndtering av lister.","WHY_USE_CSV_BLOC_TITLE_3":"Berik dine Leads","WHY_USE_CSV_BLOC_DESC_3":"Har du en prospektliste du vil berike med email-adresser, stillingstitler, LinkedIn-profil osv.? CRM-verktøy er flotte for å spore og berike leads når de har vist interesse. Men for prospektlistebygging og lead scoring i stor skala har de begrensninger. Datablist er et perfekt verktøy for å spore prospekter.","WHY_USE_CSV_BLOC_TITLE_4":"Spor SEO-nøkkelordene dine","WHY_USE_CSV_BLOC_DESC_4":"Bygger du en SEO-strategi? Bruk Datablist til å lagre SEO-nøkkelordene dine, liste konkurrenter, analysere månedlig søkevolum og nøkkelordets vanskelighetsgrad. Noter idéer til blogginnlegg og følg med på konkurrenters blogginnlegg.","CSV_CLEANER_TITLE":"CSV-rengjøring","CSV_CLEANER_DESCRIPTION":"CSV-filer kan være utsatt for feil, inkonsistenser og formateringsproblemer, noe som kan gjøre dem vanskelige å jobbe med og analysere. CSV-rengjøring er prosessen med å oppdage og korrigere slike problemer i en CSV-fil, slik at dataene er nøyaktige, konsistente og riktig formatert.","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSV-deduplisering","CSV_CLEANER_TITLE_BLOC_DESC_1":"Deduplisering av data er en viktig del av CSV-rengjøring. Med Datablist Duplicates Finder kan du sammenligne data basert på alle tilgjengelige kolonner eller velge spesifikke kolonner for sammenligning. Med en avansert algoritme kan dette verktøyet raskt skanne selv store datasett og identifisere duplikater på sekunder. I tillegg til å identifisere dupliserte poster i CSV-filene dine, tilbyr Datablist Duplicates Finder en kraftig sammenslåingsfunksjon. Den konsoliderer dupliserte poster til én nøyaktig post.","CSV_CLEANER_TITLE_BLOC_TITLE_3":"Konverter datatyper","CSV_CLEANER_TITLE_BLOC_DESC_3":"Å konvertere datatyper er en vanlig oppgave i CSV-rengjøring. Det sikrer datanøyaktighet og konsistens ved å transformere dataverdier til standardiserte formater. Med datatypekonvertering kan du endre formatet på verdier i CSV-filen for å matche spesifikke datatyper, som dato/tid, tall eller boolsk. Datatypekonvertering er viktig for å filtrere CSV-en din og gjøre tekststrenger om til standardiserte formater som kan importeres i andre verktøy.","CSV_CLEANER_TITLE_BLOC_TITLE_6":"Rens HTML-tagger og fjern symboler","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablist har et innebygd renseverktøy som konverterer HTML-kode med tagger til ren tekst. Andre renseverktøy inkluderer fjerning av emojier og symboler fra tekster og fjerning av unødvendige mellomrom. Med disse verktøyene kan du forbedre lesbarheten og brukbarheten til dataene dine. Ved å fjerne unødvendig støy og symboler gjør du dataene dine klarere og mer konsise.","CSV_CLEANER_TITLE_BLOC_TITLE_7":"Søk og erstatt","CSV_CLEANER_TITLE_BLOC_DESC_7":"Verktøyet 'Søk og erstatt' er perfekt for datarengjøring. Søk etter spesifikke verdier eller mønstre og erstatt dem med riktige eller ønskede verdier. Dette hjelper til med å rette skrivefeil, formateringsinkonsistenser eller andre inndatafeil som kan forekomme i dataene dine. Bruk det til standardisering av dataene dine. Søk etter ulike varianter eller formater av en bestemt verdi og erstatt dem med et standardisert format.","CSV_MANIPULATION_TITLE":"Et kraftig verktøy for CSV-manipulasjon","CSV_MANIPULATION_BLOC_TITLE_1":"Bulk Edit","CSV_MANIPULATION_BLOC_DESC_1":"Datablist Bulk Edit forenkler CSV-rengjøringsprosessen. Gjør endringer i flere elementer samtidig. Bruk endringer på hele samlinger, rediger filtrerte elementer eller bulk-rediger valgte elementer. Det er et svært effektivt verktøy for å administrere og oppdatere store datasett. Med Datablist Bulk Edit kan du standardisere dataene dine. Bruk konsekvent formatering og verdier på alle relevante poster.","CSV_MANIPULATION_BLOC_TITLE_2":"Skriv JavaScript-kode for datamanipulasjon","CSV_MANIPULATION_BLOC_DESC_2":"JavaScript er et kraftig språk som kan brukes direkte i Datablist for å rense dataene dine. En av hovedfordelene ved å bruke JavaScript til CSV-rengjøring er fleksibiliteten. Regnearkverktøy bruker formler som kan være komplekse og trege. Med JavaScript kan du lage egendefinerte skript som utfører alt fra enkel formatering og datatypekonvertering til mer komplekse datatransformasjoner og analyser.","CSV_MANIPULATION_BLOC_TITLE_3":"Del og slå sammen CSV-kolonner","CSV_MANIPULATION_BLOC_DESC_3":"Å dele og slå sammen CSV-kolonner er en nyttig teknikk for CSV-rengjøring. Det hjelper deg å restrukturere og organisere dataene på en mer meningsfull måte. Hvis du for eksempel har én kolonne som inneholder flere dataverdier separert av et skilletegn, som komma eller semikolon, kan du dele kolonnen opp i flere kolonner basert på skilletegnet.","CSV_MANIPULATION_TITLE_4":"Samkjør dataene dine fra flere CSV-filer","CSV_MANIPULATION_DESC_4":"Dataavstemming er enkelt med Datablist. Importer flere datakilder i flere samlinger. Velg deretter felles identifikatorer mellom listene for å koble dem sammen. Datablist har alternativer for 'FULL OUTER JOIN' og 'LEFT OUTER JOIN'. Du kan konfigurere hvordan motstridende data skal slås sammen. Hopp over eller slå sammen importerte data.","CSV_ONLINE_EDITOR":"En nettbasert, men kraftig CSV-editor","CSV_ONLINE_EDITOR_DESC_1":"Andre nettbaserte CSV-editorer tilbyr enkle funksjoner for å åpne og vise CSV-filer, og er som oftest fullstappet av annonser. Datablist er en nettbasert CSV-editor, men likevel kraftig nok til å åpne store CSV-filer uten å installere en app på datamaskinen din. Den utnytter nettleserens muligheter til å lagre og behandle data.","CSV_ONLINE_EDITOR_DESC_2":"Du kan opprette en ny CSV-fil fra bunnen av, parse eksterne CSV-filer eller åpne Excel-filer. Når de er åpnet, bruk innebygd filter- og sorteringsverktøy for å utforske dataene dine. Eller rens og rediger CSV-dataene dine. All datamanipulasjon er tilgjengelig via et brukervennlig grensesnitt rett i nettleseren.","CROSS_OS_TITLE":"En CSV-editor for Windows, macOS og Linux","CROSS_OS_DESC_1":"Datablist CSV Editor er kompatibel med alle plattformer og operativsystemer. Åpne CSV-filene dine i nettleseren på Microsoft Windows, macOS og Linux","CROSS_OS_DESC_2":"Ved å utnytte kraften i moderne nettleserteknologi bryter appen vår ned plattformbarrierer. Dataene dine lastes inn i en lokal database som kjører i nettleseren din. Med skysynkronisering holder Datablist dataene dine synkronisert i skyen og på tvers av teamet ditt.","PARSE_ONLINE_TITLE":"Parse og endre CSV-filer på nett","PARSE_ONLINE_DESC_1":"Parse og endre CSV-filer på nett uten friksjon med vår intuitive app, med lynraske hastigheter. Parse, ekstraher og organiser data fra CSV- og Excel-filer, alt i et brukervennlig, nettbasert grensesnitt.","PARSE_ONLINE_DESC_2":"Si farvel til kompliserte installasjoner eller kompatibilitetsproblemer. Datablist sikrer problemfri CSV-parsing fra enhver enhet med internettforbindelse.","PARSE_ONLINE_DESC_3":"Datablist parser store CSV-filer på få sekunder, slik at du raskt kan hente ut verdifulle innsikter.","PARSE_ONLINE_DESC_4":"Endre CSV-dataene dine direkte med Datablist og eksporter til CSV- eller Microsoft Excel-format.","SEE_ALSO":"Se også","DATA_EDITOR":"Nettbasert dataeditor","DATA_EDITOR_DESC":"Kraftig nettbasert dataeditor for å administrere og manipulere ulike dataformater utover CSV-filer.","DUPLICATES_REMOVER":"Duplikatfjerner","DUPLICATES_REMOVER_DESC":"Avansert verktøy for duplikatdeteksjon og fjerning med fuzzy matching og sammenslåingsmuligheter.","COMBINE_CSV":"Kombiner CSV-filer","COMBINE_CSV_DESC":"Slå sammen og konsolider flere CSV-filer ved å bruke felles identifikatorer og join-operasjoner.","EMAIL_CLEANING":"Rengjøring av email-lister","EMAIL_CLEANING_DESC":"Rens og valider email-lister for å forbedre leveringsgrad og redusere bounce rate.","WHY_USE_CSV_BLOC_LINK_1":"Hvordan rense en email-liste","PROSPECT_LIST_BUILDING":"Prospektlistebygging","GUIDE_DATA_CLEANING":"Se veiledningen vår om datarengjøring","INVENTORY_MANAGEMENT_LINK":"Administrer lageret i nettbutikken og leverandørfeeds","DUPLICATES_FINDER_LINK":"Finn og slå sammen dupliserte poster","AI_EDITING_LINK":"Lag datatransformasjonsskript med AI"},"DataEditor":{"PAGE_TITLE":"Nettbasert dataeditor ","PAGE_DESC":"Kraftig nettbasert dataeditor for håndtering av CSV, Excel og strukturert data. Rens, rediger og transformer dataene dine med avanserte verktøy og en no-code-grensesnitt.","HEADER_TITLE":"Nettbasert dataeditor","HEADER_DESC_1":"Administrer dataene dine med en kraftig netteditor som kombinerer enkelheten i regneark med databasefunksjoner.","HEADER_DESC_2":"Importer CSV- og Excel-filer, rens dataene dine og eksporter resultatene – alt i nettleseren.","NO_SIGNUP":"Ingen registrering nødvendig","ONLINE_100":"100 % nettbasert","EASY_TO_USE":"Enkelt å bruke","WHAT_IS_TITLE":"Hva gjør Datablist annerledes?","WHAT_IS_DESC":"Regnearkverktøy er begrenset når du jobber med datalister. I motsetning til databaser mangler de datastruktur og begrensninger. Datablist bringer databasefunksjoner samtidig som brukervennligheten til regneark beholdes. Perfekt for datarensing, håndtering av leads og operasjoner på strukturert data.","EDIT_TITLE":"Importer og rediger datafilene dine","EDIT_DESC_1":"Last opp CSV- og Excel-filer direkte i nettleseren. Datablist oppdager automatisk kolonnetyper og datastruktur.","EDIT_DESC_2":"Definer datatyper for hver kolonne: Tekst, Email, Tall, Dato, URL og mer.","EDIT_DESC_3":"Sorter, filtrer og søk i dataene dine med kraftige verktøy laget for store datasett.","EDIT_DESC_4":"All behandling skjer lokalt i nettleseren din for maksimal hastighet og personvern.","DATA_MANIP_TITLE":"Avansert datamanipulering","DATA_MANIP_DESC":"Gå utover grunnleggende regnearkoperasjoner med kraftige verktøy for datarensing og konsolidering.","DATA_MANIP_BLOC_DUPLICATES_TITLE":"Finn og slå sammen duplikater","DATA_MANIP_BLOC_DUPLICATES_DESC":"Avansert duplikatdeteksjon med fuzzy matching, fonetiske algoritmer og smart sammenslåing uten datatap.","DATA_MANIP_BLOC_CONSO_TITLE":"Kombiner flere filer","DATA_MANIP_BLOC_CONSO_DESC":"Slå sammen CSV-filer ved hjelp av felles identifikatorer med JOIN-operasjoner som i databaser.","DUPLICATES_LINK":"Lær om fjerning av duplikater","COMBINE_LINK":"Veiledning for å kombinere CSV-filer","NOCODE_TITLE":"No-code dataoperasjoner","NOCODE_DESC_1":"Utfør komplekse dataoperasjoner uten å skrive kode. Bruk intuitive grensesnitt for datarensing, transformasjon og berikelse.","NOCODE_DESC_2":"Innebygde verktøy for bulk-redigering, søk og erstatt, konvertering av datatyper og mer.","PRODUCTIVITY_TITLE":"Øk produktiviteten","PRODUCTIVITY_DESC":"Arbeid raskere med tastesnarveier, bulk-operasjoner og strømlinjeformede workflows utviklet for datafagfolk.","PRODUCTIVITY_BULLET_1":"Kopier og lim inn fra alle regnearkverktøy","PRODUCTIVITY_BULLET_2":"Tastesnarveier for avanserte brukere","PRODUCTIVITY_BULLET_3":"Bulk-rediger flere elementer samtidig","PRODUCTIVITY_BULLET_4":"Angre/gjør om for trygge dataoperasjoner","FEATURES_TITLE":"Database-drevne funksjoner","DATABASE_FEATURES_TITLE":"Datastruktur og begrensninger","DATABASE_FEATURES_DESC":"Definer datatyper, unike begrensninger og valideringsregler. Sikre datakvalitet med innebygd validering.","EDITING_FEATURES_TITLE":"Avanserte redigeringsverktøy","EDITING_FEATURES_DESC":"Bulk-redigering, søk og erstatt med regulære uttrykk (regex), konvertering av datatyper og JavaScript-skripting for komplekse transformasjoner.","SEARCH_FEATURES_TITLE":"Kraftig søk","SEARCH_FEATURES_DESC":"Fulltekstsøk på tvers av alle kolonner, med umiddelbare resultater selv på store datasett.","FILTER_FEATURES_TITLE":"Avansert filtrering","FILTER_FEATURES_DESC":"Opprett komplekse filterbetingelser med AND/OR-logikk, lagre filtre og jobb med filtrerte utvalg.","CLEANING_TITLE":"Verktøykasse for datarensing","BULK_EDIT_TITLE":"Bulk-redigering","BULK_EDIT_DESC":"Rediger flere elementer samtidig med bulk-operasjoner: endre store/små bokstaver, legg til prefikser/suffikser, fjern symboler, konverter HTML til tekst og mer.","BULK_EDIT_LINK":"Dokumentasjon for bulk-redigering","DATA_TYPES_TITLE":"Konvertering av datatyper","DATA_TYPES_DESC":"Konverter tekst til tall, datoer, avkrysningsbokser. 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Perfekt for import til andre verktøy eller deling med teamet ditt.","SEE_ALSO":"Relaterte verktøy","CSV_EDITOR":"CSV-redigerer","CSV_EDITOR_DESC":"Spesialisert CSV-redigerer med avanserte funksjoner for filer med kommaseparerte verdier.","DUPLICATES_REMOVER":"Duplikatfjerner","DUPLICATES_REMOVER_DESC":"Avansert deteksjon og fjerning av duplikater med fuzzy matching-algoritmer.","COMBINE_CSV":"Kombiner CSV-filer","COMBINE_CSV_DESC":"Slå sammen flere CSV-filer ved hjelp av JOIN-operasjoner i database-stil.","ENRICHMENTS":"Databerikelse","ENRICHMENTS_DESC":"Berik dataene dine med eksterne API-er for selskapsinformasjon, email-validering og mer."},"ToolsCommon":{"HOME":"Hjem","BREADCRUMB_NAV":"Brødsmulenavigasjon","BREADCRUMB_TITLE":"Verktøy","OPEN_TOOL":"Åpne verktøy","OTHER_TOOLS_TITLE":"Andre verktøy","RELATED_TOOLS_TITLE":"Relaterte verktøy","UI":{"BROWSE":"Bla gjennom","CLEAR":"Tøm","COPIED":"Kopiert","COPY_CSV":"Kopier CSV","DOWNLOAD_CSV":"Last ned CSV","INPUT":"Inndata","OUTPUT_PREVIEW":"Forhåndsvisning av output","PREVIEW":"Forhåndsvisning","REPLACE":"Erstatt","SETTINGS":"Innstillinger","SPLIT_MODE":"Delingsmodus","UPLOAD_CSV_FILE":"Last opp en CSV-fil","UPLOAD_JSON_FILE":"Last opp en JSON-fil"},"TOOLS":{"JSON_TO_CSV":{"NAME":"JSON til CSV-konverterer","DESCRIPTION":"Konverter nestet JSON, API-svar, blandede arrays og payloads med mange objekter til en ren CSV med deteksjon av radenoder, selektiv flattening og avanserte parseringskontroller."},"CSV_DIFF":{"NAME":"CSV Diff-verktøy","DESCRIPTION":"Sammenlign to CSV-filer online, match rader etter id eller email, oppdag rader som er lagt til, fjernet, endret eller uendret, og last ned en strukturert diff-CSV."},"CSV_ROWS_SPLITTER":{"NAME":"CSV-raddeler","DESCRIPTION":"Del opp celler med flere verdier i separate rader. 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Dette verktøyet bruker standardinnstillingene."}},"ToolsPage":{"PAGE_TITLE":"Datablist-verktøy","PAGE_DESC":"Utforsk Datablist-verktøy for JSON-, CSV- og workflower for rotete data, inkludert CSV-diff og avansert konvertering fra JSON til CSV for store og rotete eksporter.","CATEGORY":"Datablist-verktøy","HEADER_TITLE":"Vakre verktøy for stygge data","HEADER_DESC":"Et voksende sett med målrettede verktøy for JSON, CSV og rotete virkelige data. Hvert verktøy er utformet som et produkt, ikke som et tilfeldig skjema.","ITEMLIST_NAME":"Datablist-verktøy","ITEMLIST_DESC":"En samling Datablist-verktøy for JSON, CSV og workflower for datakonvertering.","LISTING":{"FILES":{"TITLE":"Rydd og transformer filer","CARDS":{"JSON_TO_CSV":{"DESCRIPTION":"Gjør nestet JSON eller API-svar om til en ryddig CSV-fil."},"CSV_DIFF":{"DESCRIPTION":"Sammenlign to CSV-filer og eksporter rader som er lagt til, fjernet eller endret."},"CSV_ROWS_SPLITTER":{"DESCRIPTION":"Utvid CSV-celler med flere verdier til én rad per verdi."},"CSV_SPLITTER":{"DESCRIPTION":"Del opp en CSV-fil etter rader, størrelse, verdier, regler eller datointervaller."}}},"LEADS":{"TITLE":"Finn og klargjør leads","CARDS":{"DOMAIN_FINDER":{"TITLE":"Finn bedriftsdomener","DESCRIPTION":"Finn nettstedsdomener fra en liste over bedriftsnavn."},"SALES_NAVIGATOR_SCRAPER":{"TITLE":"Sales Navigator Scraper","DESCRIPTION":"Forhåndsvis leads fra en søke-URL i Sales Navigator eller LinkedIn."},"EMAIL_FINDER":{"TITLE":"Email finder for jobb-e-post","DESCRIPTION":"Finn en jobb-e-post ved hjelp av navn og bedrift eller en LinkedIn-profil."},"COMPANY_NAME_CLEANER":{"TITLE":"Rydding av bedriftsnavn","DESCRIPTION":"Fjern juridiske selskapsendelser, korriger bruk av store og små bokstaver, og marker duplikater."},"INSTAGRAM_FOLLOWER_SCRAPER":{"TITLE":"Instagram Follower Scraper","DESCRIPTION":"Forhåndsvis et utvalg følgere fra URL-en eller brukernavnet til en Instagram-profil."},"LINKEDIN_PROFILE_SCRAPER":{"TITLE":"Gratis LinkedIn Profile Scraper","DESCRIPTION":"Gratis nettbasert LinkedIn Profile Scraper. 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Åpne bare hvis du vil tilpasse den.","PARSING_COMPLEX_DESC":"Kompleks JSON oppdaget. 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Dataene dine blir på maskinen din.","INTRO_TITLE":"Nestet JSON til CSV-konverterer for API-svar og komplekse eksporter","INTRO_PARAGRAPHS":["De fleste verktøy feiler med mindre JSON-en din starter med en flat array. Men data fra den virkelige verden kommer rotete. API-svar, webhook-payloads, CRM-eksporter og skrapede filer inneholder nestede objekter, metadata og blandede strukturer. Vi bygde dette verktøyet for å håndtere dem.","Velg radnodene dine, velg objekter som skal flattenes, og angi regler for arrays. Deretter kan du forhåndsvise og laste ned CSV-en din. Hvis du ser etter den beste JSON til CSV-konvertereren for data fra den virkelige verden, er dette den vi bygde for akkurat den jobben."],"EXAMPLES":{"API":{"TITLE":"Eksempel: Konverter et nestet API-svar til CSV","DESCRIPTION":"Ofte fungerer JSON-roten som et objekt, og radene dine ligger skjult i en nestet array som `results` eller `data`. Mens enkle konverterere feiler, oppdager vår arrayen, flater ut strukturen og eksporterer en ren CSV.","JSON_LABEL":"Nestet JSON-input","CSV_LABEL":"CSV-output"},"CONTACTS":{"TITLE":"Eksempel: Hent ut en nestet contacts-array","DESCRIPTION":"Noen payloads inneholder flere arrays. Du vil kanskje ha parent-postene eller en dypere array som contacts. Bruk row node-velgeren for å målrette nøyaktig den arrayen du trenger og eksporter disse spesifikke radene.","JSON_LABEL":"JSON med flere arrays","CSV_LABEL":"CSV-output for contacts"}},"PARSING_SETTINGS":{"TITLE":"Innstillinger for JSON-parsing","ITEMS":[{"TITLE":"Radnoder","BODY":"Velg arrayen som skal danne CSV-radene dine. Nyttige data ligger sjelden i roten. Hvis JSON-en din inneholder flere arrays, bruk denne kontrollen for å velge den riktige."},{"TITLE":"Flatten nestede objekter","BODY":"Utvid objekter som `company` eller `metrics` til individuelle kolonner. Velg spesifikke objekter som skal flattenes, slik at CSV-en holder seg ryddig og du unngår dupliserte felt."},{"TITLE":"Håndtering av arrays","BODY":"Slå sammen arrays med et skilletegn, formater dem som JSON-strenger, eller bruk egendefinerte regler. Du kan beholde tags sammenslått, la komplekse arrays stå som JSON, eller hente ut bare det første elementet fra en liste."},{"TITLE":"Regler for arrays fra tilfelle til tilfelle","BODY":"Bruk spesifikke regler på ulike arrays. Sett én regel for tags og en annen for contacts. Standardkonverterere behandler alle arrays likt, men dette gir deg presis kontroll over den endelige outputen din."}]},"OUTPUT_SETTINGS":{"TITLE":"Innstillinger for CSV-output","ITEMS":[{"TITLE":"Skilletegn","BODY":"Eksporter med komma, semikolon, pipe, tabulator eller et egendefinert skilletegn. Match nøyaktig det skilletegnet målsystemet ditt krever."},{"TITLE":"Inkluder header-rad","BODY":"Velg om CSV-en skal inkludere kolonnenavn i første rad. Fjern headers for å eksportere rå datarader til en annen pipeline."},{"TITLE":"Output-format for dato","BODY":"Formater datoer på nytt før du eksporterer. Generer en CSV klar for regneark eller BI-verktøy uten manuelle endringer."},{"TITLE":"Forhåndsvis før nedlasting","BODY":"Kontroller radvalget ditt, flattenede kolonner og regler for arrays i forhåndsvisningen før du laster ned filen."}]},"ROW_NODES":{"TITLE":"Velge riktige radnoder","PARAGRAPHS":["Å velge riktig array sikrer en nøyaktig konvertering. JSON-filer inneholder ofte wrapper-objekter, metadata og nestede arrays. Enkle konverterere velger den første arrayen de oppdager, og returnerer ofte feil data.","Bruk innstillingen Row nodes for å velge målarrayen din. For å få én rad per selskap, velg parent-posten. For å få én rad per contact, velg child-arrayen.","Denne funksjonen henter ut forretningsdata fra rotete API-payloads, CRM-eksporter og webhook-logger."]},"LARGE_FILES":{"TITLE":"Konverter store JSON-filer til CSV","PARAGRAPHS":["Trenger du å konvertere en stor JSON til CSV, eller håndtere en stor JSON-fil som andre verktøy kveles på? Denne siden ble bygget med akkurat det bruksområdet i tankene.","Du kan jobbe med store payloads, fortsatt inspisere en forhåndsvisning av den genererte CSV-en, og deretter laste ned hele eksporten. Forhåndsvisningen hjelper deg med å bekrefte radnoder, flattenede kolonner og regler for arrays før du går videre med den endelige filen.","Hvis du søkte etter “convert large JSON to CSV”, “JSON to CSV large file” eller “convert big JSON file to CSV”, er det akkurat denne typen workflow verktøyet er laget for å håndtere."]},"PRIVACY":{"TITLE":"JSON til CSV online, uten å sende dataene dine bort","PARAGRAPHS":["Dette er en JSON til CSV-konverterer online, men filen din lastes ikke opp til en ekstern server for parsing. Behandlingen skjer lokalt i nettleseren din.","Det betyr noe når du jobber med kundeeksporter, CRM-data, API-svar, interne logger eller noe annet du helst ikke vil sende videre bare for å konvertere det.","Kort sagt: det er raskt, det er praktisk, og det holder dataene dine tryggere fordi konverteringen skjer på maskinen din."]},"USE_CASES_TITLE":"Når du bør bruke dette verktøyet","USE_CASES":[{"TITLE":"Konverter JSON API-svar til CSV","BODY":"Eksporter data fra API-er der postene ligger inne i nestede felt sammen med metadata."},{"TITLE":"Konverter nestet JSON til flate CSV-kolonner","BODY":"Gjør nestede firmadetaljer, adresseblokker og omsetningsdata om til rene regnearkskolonner."},{"TITLE":"Hent ut nestede arrays fra JSON","BODY":"Målrett og eksporter dypere arrays som contacts, line items eller events ved hjelp av row node-velgeren."},{"TITLE":"Konverter CRM- eller webhook-JSON-eksporter til CSV","BODY":"Klargjør HubSpot-eksporter, interne API-payloads og webhook-logger for Excel eller BI-verktøy."},{"TITLE":"Håndter arrays forskjellig i samme JSON-fil","BODY":"Slå sammen enkle tags, behold det første elementet i en liste, eller stringify komplekse strukturer i samme fil."},{"TITLE":"Klargjør CSV for Excel, Sheets eller importer","BODY":"Juster skilletegn, slå headers av eller på, og formater datoer slik at CSV-en matcher målsystemet ditt."},{"TITLE":"Konverter store JSON-filer uten å miste oversikten","BODY":"Jobb med store JSON-filer, behold en live forhåndsvisning av outputen, og last ned hele CSV-en når strukturen ser riktig ut."},{"TITLE":"Bruk en gratis JSON til CSV-konverterer online","BODY":"Åpne siden, lim inn eller last opp JSON-en din, gjennomgå resultatet og last ned CSV-en gratis uten å installere noe."}],"FAQ_TITLE":"FAQ: konvertering av kompleks JSON til CSV","FAQ_ITEMS":[{"QUESTION":"Er dette en gratis JSON til CSV-konverterer?","ANSWER":"Ja. Denne JSON til CSV-konvertereren er gratis å bruke."},{"QUESTION":"Kan jeg konvertere en nestet JSON-fil til CSV?","ANSWER":"Ja. Velg riktige radnoder, velg objekter som skal flattenes, og eksporter dataene dine."},{"QUESTION":"Kan jeg konvertere et JSON API-svar til CSV når radene ligger i en nestet array?","ANSWER":"Ja. Velg den nestede arrayen, ofte kalt `results`, `items` eller `data`, så bygger verktøyet CSV-en din fra disse postene."},{"QUESTION":"Hva gjør innstillingen Row nodes?","ANSWER":"Den bestemmer hvilken array som danner CSV-radene dine. Bruk den til å hoppe over rotobjekter og målrette nøyaktig dataene du trenger."},{"QUESTION":"Kan jeg konvertere en stor JSON-fil til CSV?","ANSWER":"Ja. Verktøyet er bygget for å håndtere store payloads samtidig som det gir deg en forhåndsvisning av den genererte CSV-en før du laster ned hele filen."},{"QUESTION":"Kan jeg velge hvilke objekter som skal flattenes?","ANSWER":"Ja. Velg spesifikke objektstier som skal utvides til kolonner. Objekter som ikke er valgt, forblir som JSON-strenger, slik at eksporten holder seg ryddig."},{"QUESTION":"Er denne JSON til CSV-konvertereren online og trygg?","ANSWER":"Ja. Den kjører online i nettleseren din, men parsing og konvertering skjer lokalt på maskinen din i stedet for å sendes til en server."},{"QUESTION":"Kan jeg bruke ulike regler på ulike arrays?","ANSWER":"Ja. Bruk modus for regler per tilfelle for å slå sammen, stringify eller redusere arrays per felt."},{"QUESTION":"Hva gjør dette til en av de beste JSON til CSV-konvertererne?","ANSWER":"Den er bygget for de rotete tilfellene folk faktisk sliter med: nestet JSON, flere mulige arrays, selektiv flattening, regler per array, store filer, live forhåndsvisning og lokal behandling for bedre personvern."}],"OTHER_TOOLS_DESC":"Trenger du et annet verktøy etter å ha konvertert JSON? Disse verktøyene dekker nærliggende data-workflows som strukturert sammenligning og diff-er som er enkle å revidere."},"ToolsCsvDiff":{"PAGE_TITLE":"CSV Diff-verktøy","PAGE_DESC":"Gratis CSV diff-verktøy på nett for å sammenligne to CSV-filer, oppdage rader som er lagt til, fjernet eller endret, forhåndsvise forskjeller på cellenivå, velge innstillinger for join og nøkkelkolonner, og laste ned resultatet i nettleseren din.","SCHEMA_NAME":"Datablist CSV Diff-verktøy","SCHEMA_DESC":"Gratis CSV-sammenligningsverktøy på nett for rader som er lagt til, fjernet, endret og uendret, med behandling i nettleseren og nedlastbar diff-CSV som output.","TOOL":{"ERROR_MISSING_SOURCE":"Last opp begge CSV-filene for å sammenligne dem.","FILE_EMPTY_HELP":"Last opp eller slipp en fil","FILE_EMPTY_NAME":"Velg en CSV-fil","FILE_LOADED":"Lastet inn","HELP_TEXT":"Last opp to CSV-filer, velg hvordan radene skal matches, og forhåndsvis deretter diffen her. Alt kjører lokalt i nettleseren din.","ORIGINAL_FILE_DESC":"Den tidligere eksporten, snapshoten eller basisfilen.","ORIGINAL_FILE_TITLE":"Original CSV","OVERLAY_DESC":"Slipp originalfilen først, deretter den oppdaterte.","OVERLAY_TITLE":"Slipp CSV-filene dine her","STATUS_COMPARISON_FAILED":"Sammenligning mislyktes","STATUS_FILES_READY":"Filene er lastet inn. Klare til sammenligning.","STATUS_PREVIEW_READY":"Forhåndsvisning klar","STATUS_WAITING":"Last opp to CSV-filer for å forhåndsvise diffen.","SUBMIT_LABEL":"Sammenlign CSV-filer","UPDATED_FILE_DESC":"Den nyere eksporten du vil sammenligne med originalen.","UPDATED_FILE_TITLE":"Oppdatert CSV","UI":{"COLUMNS_MAPPING":"Kolonnetilordning","MAP_COLUMNS_THAT_CONTAIN_THE_SAME_DATA_WHEN":"Tilordne kolonner som inneholder de samme dataene når de to CSV-filene bruker ulike kolonnenavn.","ONLY_MAPPED_COLUMNS_ARE_USED_FOR_MATCHING_AND":"Bare tilordnede kolonner brukes til matching og sammenligning. Kolonner som ikke er tilordnet, forblir synlige når du utvider en rad.","ORIGINAL_COLUMN":"Opprinnelig kolonne","DO_NOT_COMPARE_THIS_COLUMN":"Ikke sammenlign denne kolonnen","UNMAPPED_UPDATED_ONLY_COLUMNS":"Ikke-tilordnede kolonner som bare finnes i den oppdaterte filen:","MATCHING":"Matching","CHOOSE_HOW_ROWS_SHOULD_BE_MATCHED_BETWEEN_THE":"Velg hvordan rader skal matches mellom den opprinnelige og den oppdaterte CSV-filen.","ROW_MATCHING_MODE":"Metode for radmatching","USE_A_KEY_COLUMN_WHEN_BOTH_FILES_SHARE":"Bruk en nøkkelkolonne når begge filene deler en stabil identifikator. Bruk sammenligning av hele raden når de ikke gjør det.","AUTO_DETECT":"Oppdag automatisk","SELECTED_KEY_COLUMN":"Valgt nøkkelkolonne","MULTIPLE_KEY_COLUMNS":"Flere nøkkelkolonner","FULL_ROW_CONTENT":"Hele radens innhold","CURRENT_MATCH_MODE":"Gjeldende matchingsmetode:","KEY_COLUMN":"Nøkkelkolonne","AUTO_DETECT_PREFERS_COLUMNS_LIKE_ID_EMAIL_SKU":"Automatisk oppdagelse foretrekker kolonner som id, email og sku eller delte felt med svært unike verdier.","USE_DETECTED_SUGGESTION":"Bruk oppdaget forslag","MULTIPLE_KEYS":"Flere nøkler","COMBINE_SHARED_COLUMNS_WHEN_ONE_COLUMN_ALONE_IS":"Kombiner delte kolonner når én kolonne alene ikke er unik nok.","JOIN_TYPE":"Join-type","FULL_OUTER_JOIN_SHOWS_EVERYTHING_INNER_JOIN_SHOWS":"Full outer join viser alt. Inner join viser bare matchede rader. Left join bruker de opprinnelige radene som grunnlag.","FULL_OUTER_JOIN":"Full outer join","INNER_JOIN":"Inner join","LEFT_JOIN":"Left join","COMPARISON":"Sammenligning","NORMALIZE_VALUES_BEFORE_DIFFING_TO_AVOID_NOISE_FROM":"Normaliser verdier før sammenligning for å unngå støy fra endringer som bare gjelder formatering.","IGNORE_COLUMN_ORDER":"Ignorer kolonnerekkefølge","WHEN_ENABLED_COLUMNS_ARE_ALIGNED_BY_NAME_INSTEAD":"Når dette er aktivert, justeres kolonnene etter navn i stedet for posisjon.","COMPARE_COLUMNS_BY_NAME":"Sammenlign kolonner etter navn","IGNORE_WHITESPACE":"Ignorer mellomrom","TRIM_LEADING_AND_TRAILING_WHITESPACE_BEFORE_COMPARING_CELL":"Fjern innledende og avsluttende mellomrom før celleverdier sammenlignes.","TREAT_EXTRA_SPACES_AS_UNCHANGED":"Behandle ekstra mellomrom som uendret","IGNORE_CASE":"Ignorer store og små bokstaver","USEFUL_WHEN_THE_SAME_VALUES_APPEAR_WITH_MIXED":"Nyttig når de samme verdiene forekommer med en blanding av store og små bokstaver.","COMPARE_TEXT_CASE_INSENSITIVELY":"Sammenlign tekst uten å skille mellom store og små bokstaver","EMPTY_AND_NULL_LIKE_VALUES":"Tomme og null-lignende verdier","TREAT_EMPTY_STRINGS_NULL_UNDEFINED_AND_SIMILAR_PLACEHOLDER":"Behandle tomme strenger, null, undefined og lignende plassholderverdier som like.","NORMALIZE_EMPTY_AND_NULL_LIKE_VALUES":"Normaliser tomme og null-lignende verdier","OUTPUT":"Resultat","CHOOSE_WHAT_TO_EXPORT_AND_HOW_THE_DOWNLOADABLE":"Velg hva som skal eksporteres, og hvordan den nedlastbare CSV-filen skal formateres.","OUTPUT_MODE":"Resultatmodus","SUMMARY_KEEPS_ONE_ROW_PER_RECORD_CHANGED_ROWS":"Sammendrag beholder én rad per oppføring. Endrede rader fokuserer bare på endringer. Full diff inkluderer verdier side om side.","SUMMARY_CSV":"Sammendrags-CSV","CHANGED_ROWS_CSV":"CSV med endrede rader","FULL_DIFF_CSV":"Full diff-CSV","DOWNLOAD_SEPARATOR":"Skilletegn for nedlasting","CHOOSE_THE_DELIMITER_USED_IN_THE_DOWNLOADABLE_DIFF":"Velg skilletegnet som skal brukes i den nedlastbare diff-CSV-filen.","INCLUDE_UNCHANGED_ROWS":"Inkluder uendrede rader","KEEP_UNCHANGED_ROWS_IN_THE_DOWNLOADABLE_OUTPUT_WHEN":"Behold uendrede rader i det nedlastbare resultatet når du trenger en fullstendig gjennomgang av hver oppføring.","INCLUDE_UNCHANGED_ROWS_IN_EXPORT":"Inkluder uendrede rader i eksporten","INCLUDE_HEADER_ROW":"Inkluder overskriftsrad","INCLUDE_COLUMN_HEADERS_IN_THE_DOWNLOADABLE_CSV":"Inkluder kolonneoverskrifter i den nedlastbare CSV-filen.","ADD_CSV_HEADER_ROW":"Legg til overskriftsrad i CSV-filen","CSV_DIFF":"CSV-diff","DIFF_PREVIEW":"Forhåndsvisning av diff","DOWNLOAD_DIFFERENCES_CSV":"Last ned CSV med forskjeller","DATA_TABLE":"Datatabell","CHANGED_ROWS":"Endrede rader","SEARCH_VISIBLE_ROWS":"Søk i synlige rader","COMPARISON_ERROR":"Feil under sammenligning","LARGE_CSV_FILES_STAY_IN_YOUR_BROWSER_WHILE":"Store CSV-filer forblir i nettleseren mens bakgrunnsprosessen leser dem og beregner forskjellene.","PREVIEW_THE_CSV_DIFF_HERE":"Forhåndsvis CSV-diffen her","UPLOAD_TWO_CSV_FILES_CHOOSE_HOW_ROWS_SHOULD":"Last opp to CSV-filer, velg hvordan radene skal matches, så viser denne tabellen rader som er lagt til, fjernet, endret og uendret.","NO_ROWS_MATCH_THE_CURRENT_PREVIEW_FILTER":"Ingen rader samsvarer med gjeldende forhåndsvisningsfilter.","STATUS":"Status","ROW_NUMBER":"Radnummer","EXPLAIN_ROW_NUMBER_FORMAT":"Forklar formatet for radnummer","KEY":"Nøkkel","LOAD_MORE_ROWS":"Last inn flere rader","END_OF_CURRENT_RESULT_SET":"Slutten på gjeldende resultatsett","WARNINGS":"Advarsler","CHANGED":"Endret","ADDED":"Lagt til","REMOVED":"Fjernet","UNCHANGED":"Uendret","PROCESSING":"Behandler","ORIGINAL_SEPARATOR":"Opprinnelig skilletegn:","UPDATED_SEPARATOR":"Oppdatert skilletegn:","MATCHED_BY":"Matchet etter:","ORIGINAL_ROWS":"Opprinnelige rader:","UPDATED_ROWS":"Oppdaterte rader:","SUMMARY":"Sammendrag","MAPPED_COLUMNS":"Tilordnede kolonner:","UNMAPPED_COLUMNS":"Ikke-tilordnede kolonner:","DUPLICATE_KEY_ROWS_FLAGGED":"Rader med dupliserte nøkler markert:","PREVIEW_COLUMNS":"Forhåndsviste kolonner:","PARSING_ORIGINAL_CSV":"Leser opprinnelig CSV","PARSING_UPDATED_CSV":"Leser oppdatert CSV","MATCHING_ROWS":"Matcher rader","COMPUTING_DIFFERENCES":"Beregner forskjeller","FILTER_ALL":"Alle","STATUS_ALL":"alle","FILTER_CHANGED":"Endret","STATUS_CHANGED":"endret","FILTER_ADDED":"Lagt til","STATUS_ADDED":"lagt til","FILTER_REMOVED":"Fjernet","STATUS_REMOVED":"fjernet","FILTER_UNCHANGED":"Uendret","STATUS_UNCHANGED":"uendret","COPIED":"Kopiert","COPY_FAILED":"Kopiering mislyktes","COPY_DIFFERENCES_CSV":"Kopier CSV med forskjeller","FULL_ROW":"Hele raden","FULL_ROW_CONTENT_2":"innholdet i hele raden","ROW_NUMBER_TOOLTIP":"{original} rad : {updated} rad.","ORIGINAL_VALUE_HEADER":"{file} opprinnelig","UPDATED_VALUE_HEADER":"{file} oppdatert","ROWS_CHANGED_PERCENT":"{percent}% av radene er endret","NO_CELL_CHANGES":"Ingen celleendringer","NO_CHANGED_CELLS":"Ingen endrede celler.","SHOWING_ROWS":"Viser {visible} av {total} rader","SEPARATOR_OPTION_COMMA":"Komma (,)","SEPARATOR_COMMA":"Komma","SEPARATOR_OPTION_SEMICOLON":"Semikolon (;)","SEPARATOR_SEMICOLON":"Semikolon","SEPARATOR_OPTION_PIPE":"Loddrett strek (|)","SEPARATOR_PIPE":"Loddrett strek","SEPARATOR_OPTION_TAB":"Tabulator (\\t)","SEPARATOR_TAB":"Tabulator","ROW_ONLY_UPDATED":"Denne raden finnes bare i den oppdaterte CSV-filen.","ROW_ONLY_ORIGINAL":"Denne raden finnes bare i den opprinnelige CSV-filen.","COLUMN_NEW":"ny kolonne","COLUMN_DELETED":"slettet kolonne","COLUMNS_CHANGED":"{count, plural, one {# kolonne endret} other {# kolonner endret}}","COLUMN_SAME":"samme"}},"KEYWORDS":["csv diff online","compare csv files online","csv comparison tool","compare two csv files online","compare csv by id","compare csv by key column","csv diff row numbers","compare csv row numbers","csv diff join type","full outer join csv compare","csv diff ignore case","csv diff ignore whitespace","csv diff utf-8","csv diff utf-16","csv diff windows-1252","csv diff latin-1","csv diff output csv","compare large csv files online","free csv diff tool","find differences between csv files","csv changes detector","datablist tools"],"HERO_TITLE":"CSV diff på nett for ekte forretningsdata","HERO_DESC":"Dette CSV-sammenligningsverktøyet er laget for gamle og nye eksporter, CRM-øyeblikksbilder, produktkataloger og lead-lister. I stedet for å vise en støyete tekst-diff linje for linje, sammenligner det rader som data, hjelper deg med å matche rader etter id eller email, og fremhever hvilke celler som faktisk er endret.","EXAMPLE":{"TITLE":"Eksempel: sammenlign to CSV-eksporter etter id","DESCRIPTION":"Dette er den vanlige workflowen for å sammenligne en tidligere eksport med en nyere. Én rad forblir uendret, én rad endres, én forsvinner, og én ny rad dukker opp.","DIFF_LABEL":"Diff-resultat"},"MATCHING":{"TITLE":"Sammenlign CSV-rader etter nøkkelkolonne","PARAGRAPHS":["Den beste måten å sammenligne to CSV-filer på nett er vanligvis å matche rader med en stabil nøkkel som `id`, `email`, `sku` eller `uuid`. Verktøyet foreslår automatisk en sannsynlig nøkkelkolonne når det finner en, men du kan overstyre det, velge flere nøkkelkolonner eller falle tilbake til sammenligning av hele rader.","Dette er spesielt nyttig når filene inneholder de samme postene i en annen rekkefølge, eller når kolonner har blitt omorganisert mellom eksportene."]},"STATUSES":{"TITLE":"Rader som er lagt til, fjernet, endret og uendret","PARAGRAPHS":["Diff-resultatet deler radene inn i fire praktiske statuser: lagt til, fjernet, endret og uendret. For endrede rader viser forhåndsvisningen hvilke kolonner som er endret, og den gamle verdien versus den nye verdien.","Det gjør dette verktøyet mer nyttig enn en enkel tekst-diff for CSV-filer, spesielt når du må forklare hva som er endret til ikke-tekniske team."]},"ADVANCED_TITLE":"Avanserte CSV diff-innstillinger for mer presis sammenligning","ADVANCED_DESC":"De fleste CSV diff-verktøy på nett stopper ved en enkel sammenlign-knapp. Dette gir deg mer kontroll når du må sammenligne CSV-filer etter nøkkelkolonne, justere hvordan rader joins, ignorere forskjeller som bare skyldes formatering, eller velge nøyaktig hvilket diff-output du vil laste ned.","DETAIL_CARDS":[{"TITLE":"Join-type: full outer join, inner join eller left join","PARAGRAPHS":["Join-type definerer hvilke rader som vises i den endelige CSV-diffen. Full outer join er standard fordi den viser alt: matchende rader, rader som er lagt til, og rader som er fjernet. Inner join beholder bare rader som finnes i begge filene. Left join bruker den opprinnelige CSV-filen som base og er nyttig når du hovedsakelig vil se hvilke opprinnelige poster som er endret eller forsvunnet.","Dette er spesielt nyttig for søk som «full outer join CSV compare» eller «compare old and new CSV file with removed rows», fordi join-modusen endrer betydningen av diffen."]},{"TITLE":"Matching på nøkkelkolonne for ids, emails, SKU-er og sammenligning med flere nøkler","PARAGRAPHS":["Hvis du vil sammenligne CSV etter id, email, SKU, uuid eller en annen identifikator, er innstillingen for nøkkelkolonne det som gjør resultatet pålitelig. I stedet for å matche rader etter linjerekkefølge, matcher verktøyet poster etter valgt nøkkel slik at omorganisering av kolonner eller flytting av rader ikke skaper falske forskjeller.","Du kan også bruke flere nøkkelkolonner når ett felt ikke er unikt nok. Det gjør verktøyet nyttig for mer avanserte søk som «compare CSV by key column» eller «compare CSV files by multiple columns»."]},{"TITLE":"Sammenligningsinnstillinger for å ignorere whitespace, store/små bokstaver og null-lignende verdier","PARAGRAPHS":["Virkelige eksporter skiller seg ofte bare på grunn av formatering. Én fil kan inneholde ekstra mellomrom, tekst med store bokstaver eller plassholderverdier som `null`, `N/A` eller tomme strenger. Sammenligningsinnstillingene lar deg ignorere forskjeller i whitespace, ignorere store/små bokstaver og behandle tomme og null-lignende verdier som like før diffen beregnes.","Disse valgene betyr noe når brukere søker etter et mer avansert CSV-sammenligningsverktøy i stedet for en naiv tekst-diff. De bidrar til å redusere støy og holde forhåndsvisningen fokusert på reelle dataendringer."]},{"TITLE":"Output-format: oppsummerings-CSV, CSV med endrede rader eller full diff-CSV","PARAGRAPHS":["Noen workflows trenger bare en kompakt oppsummering med radstatus og nøkler. Andre trenger en CSV med bare endrede rader, eller en full diff-CSV med opprinnelige og oppdaterte verdier side om side. Output-innstillingene lar deg velge formatet, velge separator og bestemme om uendrede rader skal være med i den eksporterte filen.","Dette gjør verktøyet mer fleksibelt enn mange gratis CSV diff-verktøy på nett, fordi det eksporterte resultatet kan tilpasses revisjoner, business reviews, avstemmings-workflows eller videre arbeid i regneark."]},{"TITLE":"Sammenlign store CSV-filer på nett","PARAGRAPHS":["Verktøyet er laget for å sammenligne store CSV-filer på nett uten å prøve å rendre hver rad i nettleseren. Det beregner komplette oppsummeringstall, begrenser forhåndsvisningen til et håndterbart utvalg, og lar deg fortsatt laste ned hele diff-resultatet etterpå.","Hvis du trenger et gratis CSV diff-verktøy for store eksporter, er denne workflowen for store filer selve poenget med denne siden."]},{"TITLE":"Kompatibel med flere CSV-encodinger","PARAGRAPHS":["CSV-filer i praksis er ikke alltid lagret som ren UTF-8. Dette verktøyet er laget for å håndtere vanlige encodinger fra regneark og eksporter, inkludert UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil.","Dette er viktig når du trenger CSV diff på nett for filer som kommer fra Excel, eldre business-software eller regionale eksporter som ellers åpnes med ødelagte aksenter eller uleselige tegn."]},{"TITLE":"Radnumre i diff-datatabellen","PARAGRAPHS":["Når du sammenligner CSV-filer etter nøkkelkolonne, kan diff-datatabellen også vise radnumrene fra kilden for hver matchede post. Hvis raden ble stående på samme plass, ser du ett radnummer. Hvis posten ble flyttet, viser tabellen begge radnumrene slik at du kan spore den tilbake i hver fil.","Dette er nyttig for revisjoner, avstemmingsarbeid og support-saker der du ikke bare må forklare hva som er endret, men også nøyaktig hvor raden kom fra i den opprinnelige CSV-filen og den oppdaterte CSV-filen."]},{"TITLE":"Privat behandling i nettleseren","PARAGRAPHS":["CSV-filer parses og sammenlignes i nettleseren din. Det er viktig når du jobber med kundedataeksporter, inntekts-snapshots, lagerdata eller andre sensitive regneark som bør bli værende på maskinen din.","Det gjør også CSV diff-opplevelsen på nett raskere fordi det ikke er noe opplastingstrinn på serversiden før du kan inspisere resultatet."]}],"FAQ_TITLE":"FAQ","FAQ_ITEMS":[{"QUESTION":"Hvordan sammenligner jeg to CSV-filer på nett?","ANSWER":"Last opp den opprinnelige CSV-filen og den oppdaterte CSV-filen, velg hvordan radene skal matches, se gjennom diff-forhåndsvisningen, og last deretter ned oppsummeringen eller den fulle diff-CSV-en. Matching etter id, email eller en annen stabil nøkkel gir vanligvis det tydeligste resultatet."},{"QUESTION":"Kan jeg sammenligne CSV-filer etter id?","ANSWER":"Ja. Verktøyet er laget for å sammenligne CSV-rader etter nøkkelkolonne. Det kan automatisk foreslå kolonner som id, email, sku, key eller uuid, og du kan også velge flere nøkkelkolonner når én kolonne alene ikke er nok."},{"QUESTION":"Hva hvis kolonnene er omorganisert?","ANSWER":"Standardoppførselen sammenligner kolonner etter kolonnenavn, ikke bare etter posisjon. Det betyr at omorganiserte kolonner ikke skaper falske forskjeller når kolonner med samme navn finnes i begge filene."},{"QUESTION":"Hva betyr join-type i en CSV diff?","ANSWER":"Join-type styrer hvilke rader som tas med i resultatet. Full outer join inkluderer matchede, tillagte og fjernede rader. Inner join inkluderer bare rader som finnes i begge filene. Left join bruker den opprinnelige CSV-filen som base og utelukker rader som bare finnes i den oppdaterte filen."},{"QUESTION":"Kan jeg ignorere whitespace eller forskjeller i store/små bokstaver?","ANSWER":"Ja. Sammenligningsinnstillingene kan ignorere whitespace, ignorere store/små bokstaver og behandle tomme eller null-lignende verdier som like. Det hjelper når du vil finne reelle dataendringer i stedet for støy som bare skyldes formatering."},{"QUESTION":"Hvilke CSV-encodinger støttes?","ANSWER":"Verktøyet er kompatibelt med vanlige CSV-encodinger, inkludert UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil. Det hjelper med CSV-eksporter fra Excel, legacy-software og business-systemer som ikke bruker UTF-8."},{"QUESTION":"Kan jeg se radnumre i diffen?","ANSWER":"Ja. Når rader matches etter nøkkelkolonne, kan diff-datatabellen vise radnumre for begge filene. Hvis posten vises på ulike linjenumre i hver fil, vises begge radnumrene slik at du kan spore matchen tilbake til kilde-CSV-ene."},{"QUESTION":"Hvilke output-formater er tilgjengelige?","ANSWER":"Du kan eksportere en oppsummerings-CSV, en CSV med endrede rader eller en full diff-CSV. Output-innstillingene lar deg også velge separator og om uendrede rader skal inkluderes."},{"QUESTION":"Kan dette sammenligne store CSV-filer?","ANSWER":"Ja. Forhåndsvisningen holdes begrenset slik at siden forblir responsiv, mens den fulle diffen fortsatt beregnes for tellinger og nedlasting. Det gjør den egnet for større eksporter enn en enkel, DOM-tung visning ville håndtert komfortabelt."},{"QUESTION":"Er dette CSV-sammenligningsverktøyet gratis?","ANSWER":"Ja. Denne siden er et gratis CSV diff-verktøy på nett. Du kan sammenligne CSV-filer på nett, inspisere forskjellene og laste ned resultatet uten å måtte installere et desktop-program."}],"OTHER_TOOLS_DESC":"Trenger du et annet dataverktøy etter å ha sammenlignet to CSV-filer? Disse verktøyene er laget for nærliggende workflows for datarensing og konvertering."},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV-radsplitter — del/utvid CSV-rader etter skilletegn","PAGE_DESC":"Gratis nettverktøy for å dele CSV-rader etter skilletegn. Velg en kolonne, velg en separator, og utvid celler med flere verdier til én rad per verdi. Fungerer med store filer, helt i nettleseren.","SCHEMA_NAME":"Datablist CSV-radsplitter","SCHEMA_DESC":"Gratis nettbasert CSV-radsplitter. Del celler med flere verdier til individuelle rader ved å velge en kolonne og et skilletegn. Kjører helt i nettleseren og fungerer med store filer.","TOOL":{"CHARS":"tegn","COLUMN_HELP":"Velg hvilken kolonne som inneholder flere verdier i hver celle.","COLUMN_LABEL":"Kolonne som skal splittes","COPY_ARIA":"Kopier CSV","COPY_DONE_LABEL":"Kopiert!","DELIMITER_CUSTOM_HINT":"eller skriv inn en egendefinert skilletegn","DELIMITER_HELP":"Tegnet som brukes til å skille verdier inne i cellen.","DELIMITER_LABEL":"Celleskilletegn","EMPTY_SOURCE_LABEL":"Lim inn CSV eller last opp en fil","ERROR_MISSING_SOURCE":"Lim inn CSV-innhold eller last opp en CSV-fil først.","NO_PREVIEW_DESC":"Last opp en CSV eller lim inn data og klikk på Splitt rader.","NO_PREVIEW_TITLE":"Ingen forhåndsvisning ennå","OPTIONS_DUPLICATES_DESC":"Behold bare den første forekomsten av hver verdi i en celle.","OPTIONS_DUPLICATES_LABEL":"Fjern duplikater","OPTIONS_HEADER":"Alternativer","OPTIONS_SKIP_EMPTY_DESC":"Fjern rader som ville vært tomme etter splitting.","OPTIONS_SKIP_EMPTY_LABEL":"Hopp over tomme verdier","OPTIONS_TRIM_DESC":"Fjern innledende/etterfølgende mellomrom fra hver verdi.","OPTIONS_TRIM_LABEL":"Trim mellomrom","OVERLAY_DESC":"Filen blir behandlet lokalt og forhåndsvist umiddelbart.","OVERLAY_TITLE":"Slipp CSV-filen din her","PASTE_LABEL":"Lim inn CSV","PASTED_LABEL":"Innlimt CSV","PREVIEW_LIMIT":"{count} av {total} rader","PREVIEW_SPLIT_BADGE":"splittet","ROWS_AFTER":"Rader etter","ROWS_BEFORE":"Rader før","STATUS_FAILED":"Behandling mislyktes","STATUS_PREVIEW_READY":"Forhåndsvisning klar","STATUS_PROCESSING":"Behandler CSV…","STATUS_WAITING":"Venter på input","SUBMIT_LABEL":"Splitt rader","TRUST_BROWSER":"Behandles i nettleseren din","TRUST_LARGE_FILES":"Fungerer med store CSV-filer","TRUST_NO_UPLOAD":"Ingen opplasting til server","DELIMITERS":{"COMMA":"Komma ,","SEMICOLON":"Semikolon ;","PIPE":"Vertikalstrek |","TAB":"Tabulator \\t"},"CUSTOM_DELIMITER":"Egendefinert…","PASTE_PLACEHOLDER":"Navn,E-poster\nMia Chen,\"mia.chen@example.test,mia@workmail.test\"\nLucas Martin,\"lucas@northwind.test,lucas@ops.test\"\nSofia Lopez,sofia.lopez@example.test","PREVIEW_DOWNLOAD_HINT":"Viser {count} av {total} rader – last ned CSV-filen for å få med alle radene."},"KEYWORDS":["splitte csv-rader etter skilletegn","splitte kolonne til flere rader csv","excel del celle til flere rader","normalisere csv-data","normalisere csv-celler med flere verdier","csv utf-8 utf-16 windows-1252","csv latin-1 encoding tool","utvide rader csv","csv unpivot kolonne med flere verdier","splitte kommaseparerte verdier til rader","csv explode column","unnest csv-kolonne","tidy data flere verdier per celle","flate ut csv-kolonne","splitte kommaseparerte verdier til flere rader excel","hvordan normalisere csv med flere verdier i én celle","konvertere celle med flere verdier til rader csv online","splitte emails i én celle til flere rader","datablist tools"],"HERO_TITLE":"Del CSV-rader etter skilletegn — på sekunder. Ingen Excel-formler.","HERO_DESC":"Jeg eksporterte kontakter fra CRM-et mitt. Alle emails var pakket inn i én celle, kommaseparert. Jeg trengte én email per rad. Excel gjorde det unødvendig tungvint. Dette verktøyet gjør det på 10 sekunder.","WHY_TITLE":"Hvorfor det er viktig å dele opp celler med flere verdier","WHY_DESC":"CRM-er, e-handelsplattformer og eksport fra spørreundersøkelser legger ofte flere verdier i én enkelt celle. Tags, emails, telefonnumre, kategorier — alt havner bak et skilletegn. Normaliserte data er enklere å importere, deduplisere, filtrere og berike. Én verdi per rad er standarden verktøyene dine forventer.","INTRO_CARDS":[{"TITLE":"Del en kolonne til flere rader i CSV","PARAGRAPHS":["Bruk dette verktøyet når du trenger å dele en kolonne til flere rader i en CSV. Det er laget for filer der én celle inneholder flere emails, tags, telefonnumre, kategorier, ferdigheter eller ID-er separert med et skilletegn.","Dette er en av de raskeste måtene å normalisere CSV-data og celler med flere verdier på før du importerer filen til et annet system. I stedet for å beholde flere verdier i én post, utvider du radene i CSV-en slik at hver verdi får sin egen rad."]},{"TITLE":"Slik deler du en celle til flere rader i Excel","PARAGRAPHS":["Mange søker etter hvordan man deler en celle til flere rader i Excel, eller hvordan man deler kommaseparerte verdier til flere rader i Excel. For CSV-filer er dette nettverktøyet som regel raskere enn å bygge formler, bruke Power Query eller kopiere rader manuelt.","Lim inn eller last opp CSV-en din, velg kolonnen, bekreft skilletegnet, og last ned resultatet. Hvis målet ditt er å konvertere en celle med flere verdier til rader i CSV online, er denne siden laget akkurat for den workflowen."]}],"EXAMPLES":{"EMAILS":{"TITLE":"Eksempel: del kontakter med flere emails til én rad per email","DESCRIPTION":"En vanlig CRM-eksport legger hver kontakts email i én enkelt celle. Ved å dele opp blir hver kontakt utvidet til individuelle rader som du kan importere i hvilket som helst verktøy.","INPUT_LABEL":"CSV-inndata","OUTPUT_LABEL":"CSV-utdata"},"TAGS":{"TITLE":"Eksempel: explode produkt-tags til individuelle rader","DESCRIPTION":"Produktkataloger pakker ofte flere tags inn i én celle. Ved å dele dem opp får du en ren struktur med én tag per rad, klar for filtrering, gruppering eller analyse.","INPUT_LABEL":"CSV-inndata","OUTPUT_LABEL":"CSV-utdata"}},"SETTINGS_CARDS":[{"TITLE":"Slik deler verktøyet CSV-rader","ITEMS":[{"TITLE":"Kolonne som skal deles","BODY":"Velg kolonnen som inneholder flere verdier i én celle. Alle andre kolonner dupliseres på de nye radene. Bare én kolonne utvides om gangen i denne versjonen."},{"TITLE":"Skilletegn i cellen","BODY":"Dette er tegnet som skiller verdier inne i cellen — forskjellig fra CSV-separatoren for kolonner. Vanlige valg er komma, semikolon, pipe og tab. Verktøyet foreslår et skilletegn basert på dataene dine."},{"TITLE":"Trim mellomrom","BODY":"Aktivert som standard. Fjerner ledende og etterfølgende mellomrom fra hver verdi etter splitting. Nyttig når verdier er separert med \", \" i stedet for bare \",\"."}]},{"TITLE":"Avanserte alternativer","ITEMS":[{"TITLE":"Fjern duplikater","BODY":"Når en celle inneholder `a,a,b`, vil dette valget bare beholde én `a` og gi to rader i stedet for tre. Nyttig når kildedataene dine har utilsiktede gjentakelser."},{"TITLE":"Hopp over tomme verdier","BODY":"Når en splitting gir en tom streng, for eksempel fra et avsluttende skilletegn som `a,b,`, fjerner dette alternativet den tomme verdien i stedet for å opprette en blank rad."},{"TITLE":"Tomme celler beholdes som standard","BODY":"Hvis en celle er helt tom, beholdes raden som den er. Bare celler som faktisk inneholder skilletegnet utvides."}]}],"INFO_CARDS":[{"TITLE":"Fungerer med store CSV-filer","PARAGRAPHS":["Splitting øker antall rader, noen ganger betydelig. En fil med 5 000 rader og i snitt 3 verdier per celle blir til 15 000 rader. Verktøyet håndterer dette uten problemer.","Forhåndsvisningen viser de første 100 radene i outputen slik at nettleseren forblir responsiv. Last ned hele CSV-en når du har bekreftet at splitten er riktig."]},{"TITLE":"Kompatibel med flere CSV-encodinger","PARAGRAPHS":["CSV-filer fra regneark og eldre eksporter er ikke alltid kodet på samme måte. Dette verktøyet støtter vanlige CSV-encodinger, inkludert UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil.","Det gjør verktøyet mer pålitelig når du trenger å splitte rader i CSV-filer som inneholder aksenter, spesialtegn eller eldre eksportformater som ofte feiler i enkle nettverktøy."]},{"TITLE":"Filen din forlater aldri nettleseren","PARAGRAPHS":["All parsing og splitting skjer lokalt i nettleseren din ved hjelp av en Web Worker. Ingen fil lastes opp til en server. Det er viktig når du jobber med kundedata, CRM-eksporter eller konfidensielle kontaktlister.","Dette verktøyet er gratis å bruke og krever ingen konto."]}],"USE_CASES_TITLE":"Når du bør bruke dette verktøyet","USE_CASES":[{"TITLE":"Del kommaseparerte verdier til rader","BODY":"Gjør `a,b,c` i én celle om til tre separate rader — det vanligste bruksområdet for CRM- og e-handelseksporter."},{"TITLE":"Normaliser CSV med flere emails per celle","BODY":"Utvid kontaktlister der én person har flere emails samlet i én kolonne, slik at hver email får sin egen rad."},{"TITLE":"Del en kolonne med flere verdier til rader","BODY":"Når én CSV-kolonne lagrer flere verdier i én celle, kan du utvide den til separate rader slik at filen blir enklere å importere, filtrere og analysere."},{"TITLE":"Explode tags og kategorier","BODY":"Produktkataloger, blogginnlegg og supporthenvendelser lagrer ofte flere tags i ett felt. Normaliser dem før analyse."},{"TITLE":"Unnest telefonnumre","BODY":"Når kontakter har flere telefonnumre i én celle, kan du splitte dem til individuelle rader for renere importer til dialers eller CRM-er."},{"TITLE":"Tidy data for deduplisering","BODY":"Én verdi per rad er standarden for tidy data. Etter splitting kan du bruke Datablist til å deduplisere, filtrere og berike resultatene."},{"TITLE":"Forbered data for import","BODY":"De fleste CRM- og markedsføringsplattformer forventer én verdi per rad. Splitting er ofte første steg før du importerer eller beriker dataene dine."}],"VOCABULARY":{"TITLE":"CSV explode, unnest, flatten eller unpivot","PARAGRAPHS":["Ulike verktøy beskriver denne transformasjonen på forskjellige måter. Du ser kanskje etter et CSV explode column-verktøy, en måte å unnest en CSV-kolonne på, en metode for å flatten en CSV-kolonne, eller en CSV unpivot workflow for kolonner med flere verdier.","I praksis er målet det samme: tidy data med flere verdier per celle, slik at én verdi blir én rad. Den strukturen er enklere å koble sammen, deduplisere, gruppere, berike og eksportere."]},"FAQ_TITLE":"Vanlige spørsmål","FAQ_ITEMS":[{"QUESTION":"Kan jeg bruke semikolon som skilletegn i cellen?","ANSWER":"Ja. Verktøyet støtter komma, semikolon, pipe, tab og egendefinerte skilletegn. Det prøver også å auto-detektere riktig skilletegn fra dataene dine når du velger en kolonne."},{"QUESTION":"Fungerer det med store CSV-filer?","ANSWER":"Ja. Splittingen gjøres inne i en Web Worker, så den blokkerer ikke nettleseren. Forhåndsvisningen er begrenset til 100 rader, men hele outputen kan lastes ned selv når filen din har titusenvis av rader."},{"QUESTION":"Blir dataene mine lastet opp til en server?","ANSWER":"Nei. Alt kjører lokalt i nettleseren din. CSV-en din blir aldri sendt til noen server. Det gjør verktøyet trygt for kundedata, interne eksporter og alt annet du ikke ønsker å laste opp."},{"QUESTION":"Hvilke CSV-encodinger støttes?","ANSWER":"Verktøyet er kompatibelt med vanlige CSV-encodinger, inkludert UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil. Det hjelper når CSV-en din kommer fra Excel, eldre programvare eller eksporter med aksenttegn."},{"QUESTION":"Hva skjer med celler som ikke inneholder skilletegnet?","ANSWER":"De beholdes som de er. Bare celler som faktisk inneholder skilletegnet utvides til flere rader. Tomme celler beholdes også som standard."},{"QUESTION":"Håndterer det siterte CSV-felt korrekt?","ANSWER":"Ja. Den underliggende CSV-parseren håndterer siterte felt riktig. En verdi som \"mia.chen@example.test,mia@workmail.test\" behandles som én enkelt verdi og splittes etter skilletegnet i cellen, ikke CSV-separatoren."}],"CTA_TITLE":"Trenger du å deduplisere eller berike dataene dine etter splitting?","CTA_DESC":"Når dataene dine er normalisert — én verdi per rad — gjør Datablist det enkelt å deduplisere kontakter, berike med eksterne data, filtrere etter hvilken som helst kolonne og eksportere en ren sluttfil.","CTA_LABEL":"Prøv Datablist gratis","OTHER_TOOLS_DESC":"Trenger du et annet dataverktøy etter å ha splittet CSV-en din? Disse verktøyene dekker nærliggende workflower for opprydding og konvertering."},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — Del CSV-filer etter rader, størrelse, verdier, regler eller datoer","PAGE_DESC":"Gratis online CSV Splitter for rotete eksportfiler fra virkeligheten. Oppdag kolonner automatisk, få forslag til smarte delingsalternativer, forhåndsvis output-filer og last ned CSV- eller ZIP-resultater direkte i nettleseren.","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"Gratis online CSV-splitter som kan dele etter rader, filstørrelse, grupperte verdier, regler og datointervaller. Kjører helt i nettleseren og laster ned eksport med flere filer som ZIP-arkiver.","TOOL":{"ANALYSIS_COLUMNS":"Kolonner","ANALYSIS_DELIMITER":"Skilletegn","ANALYSIS_ENCODING":"Tegnkoding","ANALYSIS_ROWS":"Rader","DOWNLOAD_ACTIVE_FILE":"Last ned aktiv fil","EMPTY_SOURCE_LABEL":"Last opp en CSV eller lim den inn nedenfor","ERROR_INVALID_ROWS_PER_FILE":"Antall rader per fil må være et heltall større enn 0.","ERROR_LOAD_FILE":"Kunne ikke laste denne CSV-filen.","ERROR_LOAD_PASTED_CSV":"Kunne ikke lese den innlimte CSV-en.","ERROR_MISSING_RULES":"Legg til minst én regel før du forhåndsviser denne splittingen.","ERROR_MISSING_SOURCE":"Lim inn en CSV før du fortsetter.","ERROR_MISSING_SOURCE_FOR_PREVIEW":"Last opp eller lim inn en CSV først.","ERROR_RULE_FILE_LABEL":"Hver regel må ha et navn på målfilen før du kan forhåndsvise denne splittingen.","FILE_HINT":"CSV-skilletegn, siterte linjeskift, dupliserte overskrifter og tegnkoding håndteres automatisk.","LOAD_FIRST_DESC":"Last opp en fil eller lim inn CSV, og velg deretter en splittmodus for å fortsette.","LOAD_FIRST_TITLE":"Last inn en CSV først","MODE_LOCKED_HINT":"Last opp eller lim inn en CSV for å låse opp disse splittmodusene.","MODE_OPTIONS":[{"DESCRIPTION":"Opprett filer med et fast antall rader. Dette er det tryggeste standardvalget for de fleste eksporter.","LABEL":"Del opp etter rader","MODE":"rows"},{"DESCRIPTION":"Hold hver fil under en omtrentlig opplastingsgrense når et annet verktøy avviser større CSV-filer.","LABEL":"Del opp etter filstørrelse","MODE":"size"},{"DESCRIPTION":"Opprett én fil per land, eier, status eller annen gjentakende kategori.","LABEL":"Del opp etter kolonneverdier","MODE":"column_value"},{"DESCRIPTION":"Send rader til filer basert på enkle betingelser som land, email-domene eller selskapsstørrelse.","LABEL":"Del opp etter regler","MODE":"conditional"},{"DESCRIPTION":"Grupper rader etter måned, år eller ISO-uke ved hjelp av en datokolonne.","LABEL":"Del opp etter datointervaller","MODE":"date_range"}],"PASTE_CARD_DESC":"Nyttig for raske tester eller når filen allerede ligger i utklippstavlen.","PASTE_CARD_TITLE":"Lim inn CSV","PASTE_DROP_HINT":"Lim inn eller slipp en fil","PASTED_LABEL":"Innlimt CSV","PREPARING_MODE_DESC":"Denne modusen trenger en dypere kolonneskanning før innstillingene kan vises.","PREPARING_MODE_TITLE":"Forbereder denne splittmodusen","PREVIEW_AFTER_BUILD_DESC":"Velg en splittmodus, juster innstillingene og forhåndsvis utdatafilene før du laster ned.","PREVIEW_AFTER_BUILD_TITLE":"Forhåndsvisning kommer etter at du har bygget splittingen","PREVIEW_PANEL_DESC":"Se gjennom antall filer, advarsler og forhåndsvisningen av hver utdata før nedlasting.","PREVIEW_PANEL_TITLE":"Forhåndsvis og last ned","PREVIEW_SPLIT_LABEL":"Forhåndsvis splitting","READY_TO_SPLIT":"Klar til å splitte","STATUS_ANALYSIS_READY":"Analyse klar","STATUS_ANALYZING":"Analyserer kolonner…","STATUS_BUILDING_PREVIEW":"Bygger forhåndsvisning av splitting…","STATUS_CHOOSE_MODE":"Velg en splittmodus","STATUS_LOADING_PREVIEW":"Laster forhåndsvisning av fil…","STATUS_PREPARING_DOWNLOAD":"Forbereder filnedlasting…","STATUS_PREPARING_ZIP":"Forbereder ZIP-arkiv…","STATUS_PREVIEW_READY":"Forhåndsvisning klar","STATUS_READY_TO_SPLIT":"Klar til å splitte","STATUS_SETTINGS_READY":"Juster innstillingene og forhåndsvis","STATUS_UNABLE_LOAD_CSV":"Kunne ikke laste CSV","STATUS_UNABLE_LOAD_FILE":"Kunne ikke laste fil","STATUS_WAITING":"Venter på en CSV-fil","STATUS_ZIP_READY":"ZIP klar","UPLOAD_CSV":"Last opp CSV","USE_CSV":"Bruk CSV","UI":{"NAME_EMAIL_COUNTRY_10_ALICE_ALICE_EXAMPLE":"navn,email,land\nAlice,alice@example.com,FR","ROWS_PER_FILE":"Rader per fil","MAX_SIZE_PER_FILE_BYTES":"Maks størrelse per fil (byte)","USE_250000_FOR_ROUGHLY_250_KB_1000000":"Bruk 250000 for omtrent 250 KB, 1000000 for omtrent 1 MB.","GOOD_WHEN_DOWNSTREAM_TOOLS_HAVE_UPLOAD_LIMITS":"Nyttig når etterfølgende verktøy har opplastingsgrenser","SIZE_BASED_CHUNKS_USE_EXACT_ROW_SIZES":"Størrelsesbaserte deler bruker nøyaktige radstørrelser, men svært varierende rader gir mindre forutsigbare resultater enn radbasert oppdeling.","SPLIT_BY_COLUMN_S":"Del etter kolonne(r)","USE_ONE_COLUMN_FOR_SIMPLE_SEGMENTATION_OR":"Bruk én kolonne for enkel segmentering, eller kombiner flere kolonner for mer detaljerte resultater.","LIMIT_OUTPUT_FILES":"Begrens antall resultatfiler","RULE_BUILDER":"Regelbygger","RULES_RUN_IN_ORDER_CHOOSE_FIRST_MATCH":"Reglene kjøres i rekkefølge. Velg modus for kun første treff, eller tillat at rader havner i flere filer.","ADD_RULE":"Legg til regel","RULE":"Regel","REMOVE":"Fjern","EQUALS":"er lik","DOES_NOT_EQUAL":"er ikke lik","CONTAINS":"inneholder","DOES_NOT_CONTAIN":"inneholder ikke","STARTS_WITH":"starter med","ENDS_WITH":"slutter med","GREATER_THAN":"større enn","GREATER_THAN_OR_EQUAL":"større enn eller lik","LESS_THAN":"mindre enn","LESS_THAN_OR_EQUAL":"mindre enn eller lik","IS_EMPTY":"er tom","IS_NOT_EMPTY":"er ikke tom","COMPARISON_VALUE":"Sammenligningsverdi","DESTINATION_FILE_NAME":"Navn på målfil","THIS_IS_THE_FILE_THAT_WILL_RECEIVE":"Dette er filen som mottar rader som samsvarer med denne regelen. Eksempel: enterprise, gmail eller north-america.","EXAMPLE_ENTERPRISE":"Eksempel: enterprise","CASE_SENSITIVE":"Skill mellom store og små bokstaver","DATE_COLUMN":"Datokolonne","GROUP_BY":"Grupper etter","MONTH":"Måned","YEAR":"År","ISO_WEEK":"ISO-uke","ADVANCED_SETTINGS":"Avanserte innstillinger","USE_THESE_ONLY_WHEN_THE_SIMPLE_SETUP":"Bruk disse bare når det enkle oppsettet ikke er tilstrekkelig. Her finner du kolonneutvalg og finjusteringsalternativer.","EXPORT_SETTINGS":"Eksportinnstillinger","FILENAME_PATTERN":"Filnavnmønster","USE_VARIABLES_LIKE_INDEX_AND_LABEL_EXAMPLE":"Bruk variabler som {index} og {label}. Eksempel: batch-{index}-{label}","STARTING_NUMBER":"Startnummer","THE_FIRST_FILE_INDEX_USED_WHEN_INDEX":"Den første filindeksen som brukes når {index} inngår i filnavnmønsteret.","COLUMNS_TO_KEEP_IN_THE_OUTPUT":"Kolonner som skal beholdes i resultatet","PROJECTION_HAPPENS_BEFORE_THE_SPLIT_IT_REDUCES":"Kolonneutvalget gjøres før oppdelingen. Det reduserer filstørrelsen og gjør de eksporterte filene ryddigere.","SELECT_ALL":"Velg alle","UNSELECT_ALL":"Opphev alle valg","ROW_SETTINGS":"Radinnstillinger","OVERLAP_ROWS":"Overlappende rader","USEFUL_WHEN_BATCH_TOOLS_NEED_CONTEXT_IN":"Nyttig når batchverktøy trenger kontekst i den neste filen.","SHUFFLE_ROWS":"Bland rader","USEFUL_FOR_EXPERIMENTS_AND_SAMPLING":"Nyttig for eksperimenter og utvalg.","KEEP_GROUPED_ROWS_TOGETHER":"Behold grupperte rader samlet","AVOID_BREAKING_THE_SAME_GROUP_ACROSS_FILES":"Unngå å dele den samme gruppen på tvers av filer.","GROUPING_COLUMN":"Grupperingskolonne","CHOOSE_A_COLUMN":"Velg en kolonne","COLUMN_VALUE_SETTINGS":"Innstillinger for kolonneverdier","RARE_VALUE_HANDLING":"Håndtering av sjeldne verdier","KEEP_EVERY_DISTINCT_VALUE":"Behold hver unike verdi","KEEP_TOP_N_VALUES_GROUP_THE_REST":"Behold de N vanligste verdiene, grupper resten","GROUP_BUCKETS_BELOW_A_ROW_THRESHOLD":"Grupper kategorier under en radgrense","TOP_N_VALUES_TO_KEEP":"Antall toppverdier som skal beholdes","MINIMUM_ROWS_PER_BUCKET":"Minste antall rader per kategori","OTHER_BUCKET_LABEL":"Etikett for kategorien «annet»","ALSO_SPLIT_LARGE_GROUPS_BY_FILE_SIZE":"Del også store grupper etter filstørrelse","USEFUL_WHEN_ONE_SEGMENT_IS_MUCH_BIGGER":"Nyttig når ett segment er mye større enn resten.","MAX_SIZE_PER_GROUPED_FILE_BYTES":"Maks størrelse per gruppert fil (byte)","RULE_SETTINGS":"Regelinnstillinger","FIRST_MATCH_ONLY":"Kun første treff","TURN_THIS_OFF_TO_DUPLICATE_A_ROW":"Slå av dette for å kopiere en rad til flere resultatfiler.","KEEP_UNMATCHED_ROWS_IN_A_SEPARATE_FILE":"Behold rader uten treff i en egen fil","TURN_THIS_ON_IF_YOU_WANT_ROWS":"Slå på dette hvis du vil at rader som ikke samsvarer med noen regel, skal legges i en egen eksport.","UNMATCHED_ROWS_FILE_NAME":"Filnavn for rader uten treff","THIS_NAME_IS_USED_FOR_THE_EXTRA":"Dette navnet brukes på den ekstra filen som samler rader som ikke samsvarer med noen av reglene dine.","DATE_SETTINGS":"Datoinnstillinger","DATE_FORMAT":"Datoformat","USE_A_FIXED_FORMAT_WHEN_THE_ANALYZER":"Bruk et fast format når analysatoren har gjettet feil.","AUTO_DETECT":"Oppdag automatisk","YYYY_MM_DD":"YYYY-MM-DD","DD_MM_YYYY":"DD/MM/YYYY","MM_DD_YYYY":"MM/DD/YYYY","DD_MM_YYYY_2":"DD-MM-YYYY","MM_DD_YYYY_2":"MM-DD-YYYY","INVALID_DATES":"Ugyldige datoer","SEND_TO_A_SEPARATE_FILE":"Send til en egen fil","SKIP_INVALID_ROWS":"Hopp over ugyldige rader","INVALID_DATE_FILE_LABEL":"Etikett for fil med ugyldige datoer","COLUMN_TYPE_OVERRIDES":"Overstyring av kolonnetyper","USE_THIS_WHEN_A_NUMBER_OR_DATE":"Bruk dette når en tall- eller datokolonne er registrert feil. Det påvirker regelsammenligninger og datobaserte oppdelinger.","DETECTED_AS":"Registrert som","TEXT":"Tekst","NUMBER":"Tall","DATE":"Dato","COMMA_THOUSANDS_SEPARATOR":"Komma som tusenskilletegn","DOT_THOUSANDS_SEPARATOR":"Punktum som tusenskilletegn","SPACE_THOUSANDS_SEPARATOR":"Mellomrom som tusenskilletegn","APOSTROPHE_THOUSANDS_SEPARATOR":"Apostrof som tusenskilletegn","NO_THOUSANDS_SEPARATOR":"Uten tusenskilletegn","ONLY":"Bare","ROWS_SHOWN_IN_PREVIEW":"rader vises i forhåndsvisningen","PREVIEW_LOADS_ON_DEMAND_FOR_THIS_FILE":"Forhåndsvisningen lastes inn ved behov for denne filen","LARGE_ROW_BASED_SPLITS_ONLY_PRELOAD_THE":"Ved store radbaserte oppdelinger forhåndslastes bare den første filen, slik at forhåndsvisningen forblir rask.","SUGGESTED_GROUPING_COLUMNS":"Foreslåtte grupperingskolonner","GROUPS":"grupper","LARGEST":"Størst:","SMALLEST":"Minst:","MEDIAN":"Median:","NO_STRONG_GROUPING_COLUMN_WAS_DETECTED_ROW":"Ingen tydelig grupperingskolonne ble funnet. Rad- eller størrelsesbasert oppdeling er de tryggeste standardvalgene for denne filen.","FILE_ANALYSIS":"Filanalyse","DUPLICATE_HEADERS":"Dupliserte kolonneoverskrifter:","EMPTY_COLUMNS":"Tomme kolonner:","LARGE_TEXT_COLUMNS":"Kolonner med mye tekst:","LEARN_MORE_ABOUT":"Les mer om {title}","SOMETHING_WENT_WRONG":"Noe gikk galt","TAB":"Tabulator","DOWNLOAD_ZIP":"Last ned ZIP","OUTPUT_FILES":"Resultatfiler","PROJECTED_COLUMNS":"Valgte resultatkolonner","LARGEST_FILE":"Største fil","ZIP_SIZE":"ZIP-størrelse","ROWS_COUNT":"{count} rader","OUTPUT_FILE_META":"{rows} rader · {size}","ROWS_SHOWN":"Bare {count} rader vises i forhåndsvisningen","GROUPS_COUNT":"{count} grupper","NONE":"ingen"}},"KEYWORDS":["csv splitter","split csv by column value","split csv by file size","split csv by date","split csv by rules","split large csv online","csv splitter zip download","csv split into multiple files","split csv by country","datablist tools"],"HERO_TITLE":"Del CSV-filer etter mening, ikke bare etter chunk-størrelse","HERO_DESC":"Mange CSV splitter-verktøy stopper ved «hver 1 000. rad». Eksportfiler fra virkeligheten er mer rotete. Noen ganger trenger du én fil per land, én fil per måned, én fil for enterprise-kontoer, eller en fallback-fil for radene som ikke matchet noe. Dette verktøyet er bygget for den virkeligheten.","INTRO_CARDS":[{"TITLE":"Smart analyse før deling","PARAGRAPHS":["Verktøyet oppdager automatisk encoding, skilletegn, dupliserte headers, tomme kolonner, tekstfelt med mye innhold og grupperingskolonner med lav kardinalitet. Det gjør det enklere å velge en praktisk deling i stedet for å gjette.","Du får også advarsler når en deling er risikabel: for mange output-filer, for mange bittesmå filer, eller én gigantisk gruppe som overskygger resten."]},{"TITLE":"Bygget for store CSV-eksporter fra virkeligheten","PARAGRAPHS":["Store filer forblir på klientsiden. Du forhåndsviser resultatet før nedlasting, beholder bare kolonnene du trenger, og eksporterer én fil eller mange filer i et ZIP-arkiv.","Dette fungerer godt for outreach-batcher, overleveringer per land, CRM-opprydding, compliance-gjennomganger og månedlige historiske utsnitt."]}],"GUIDE_TITLE":"Guide til innstillinger for de vanskelige delene","GUIDE_DESC":"Noen delingsinnstillinger er kraftige, men ikke åpenbare ved første øyekast. Hjelpeikonene i verktøyet hopper til de tilsvarende forklaringene nedenfor, slik at du kan forstå hva en innstilling faktisk endrer før du forhåndsviser delingen.","GUIDES":[{"ID":"csv-splitter-help-rows","EXTRA_IDS":["csv-splitter-help-overlap","csv-splitter-help-grouped-rows","csv-splitter-help-size"],"ICON":"rows","TITLE":"Rader, overlapp og chunker basert på størrelse","DESCRIPTION":"Dette er de raskeste delingsmodusene og vanligvis de tryggeste når du bare trenger mindre filer.","PARAGRAPHS":["Rader per fil gir hver output omtrent samme antall rader. Dette er best når nedstrømsverktøy bryr seg om batch-størrelse, ikke kategori eller mening.","Overlappende rader gjentar noen rader i overgangen mellom filer. Bruk det bare når neste batch trenger litt kontekst fra den forrige.","Hold grupperte rader samlet hindrer verktøyet i å dele samme konto, selskap eller ordre på flere filer. Det er viktig når rader som tilhører samme enhet bør holdes samlet.","Maks størrelse per fil er for opplastingsgrenser. Den prøver å holde seg under et mål i byte, men radlengder kan variere, så den siste filen eller noen filer kan fortsatt oppleves mindre jevne enn chunker basert på rader."]},{"ID":"csv-splitter-help-column-values","EXTRA_IDS":["csv-splitter-help-rare-values","csv-splitter-help-large-groups"],"ICON":"split","TITLE":"Grupperte output-filer og sjeldne verdier","DESCRIPTION":"Deling basert på verdier er best når én CSV per land, eier, status eller kilde gjør resultatet enklere å gjennomgå eller overlevere.","PARAGRAPHS":["Del etter kolonne(r) oppretter én output per unik verdi eller verdikombinasjon. Én kolonne gir enklere output-filer; to eller flere kolonner gir mer detaljerte filer.","Håndtering av sjeldne verdier hjelper når enkeltstående verdier ellers ville opprettet for mange små filer. Du kan beholde bare de største gruppene og slå sammen resten i en «annet»-gruppe.","Del også store grupper etter filstørrelse er nyttig når én kategori er mye større enn resten. Det beholder grupperingslogikken, men hindrer at én gigantisk fil dominerer eksporten."]},{"ID":"csv-splitter-help-rules","EXTRA_IDS":["csv-splitter-help-unmatched"],"ICON":"rules","TITLE":"Regler, første treff og rader uten treff","DESCRIPTION":"Regelbasert deling er nyttig når fildestinasjoner avhenger av forretningslogikk i stedet for én enkel grupperingskolonne.","PARAGRAPHS":["Bare første treff betyr at en rad stopper ved den første regelen den matcher. Slå det av bare når du bevisst vil at samme rad skal kopieres til flere output-filer.","Behold rader uten treff i en egen fil sørger for at rader som ikke oppfyller noen av reglene dine fortsatt blir bevart i sin egen eksport.","Filnavn for rader uten treff er ganske enkelt navnet på den oppsamlingsfilen. Det hjelper når du vil ha et tydelig output-navn som <code>needs-review.csv</code> eller <code>no-rule-match.csv</code>."]},{"ID":"csv-splitter-help-date-splits","EXTRA_IDS":["csv-splitter-help-date-format","csv-splitter-help-invalid-dates","csv-splitter-help-export-settings","csv-splitter-help-projection"],"ICON":"dates","TITLE":"Datoer, eksportinnstillinger og renere output-filer","DESCRIPTION":"Disse innstillingene er viktige når input er rotete, eller når navnene på de eksporterte filene må passe inn i en eksisterende workflow.","PARAGRAPHS":["Datoformat er der for tvetydige datokolonner. Hvis detektoren gjetter feil, kan du tvinge forventet format før gruppering per måned, år eller uke.","Ugyldige datoer lar deg bestemme om dårlige verdier skal hoppes over eller flyttes til en egen fil. Det er tryggere enn å miste rader i stillhet.","Filnavnmønster styrer de endelige output-navnene. Bruk variabler som <code>{index}</code> og <code>{label}</code> når batchene dine trenger forutsigbar nummerering.","Kolonner som skal beholdes i output fjerner unødvendige kolonner før delingen. Det holder eksportene lettere og renere, spesielt når den opprinnelige CSV-filen har hjelpekolonner du ikke vil ha videre nedstrøms."]}],"EDGE_TITLE":"Edge cases dette verktøyet håndterer","EDGE_DESC":"CSV-eksporter fra virkeligheten er sjelden rene. Dette verktøyet er bygget for å håndtere de irriterende tilfellene som vanligvis ødelegger enklere splittere.","EDGE_CASES":[{"ICON":"shield","TITLE":"Anførte celler, innebygde kommaer og linjeskift","DESCRIPTION":"Rader blir ikke delt bare fordi en celle i anførselstegn inneholder et komma eller et linjeskift.","BODY":"Parseren holder anførte CSV-verdier intakte, slik at adresser, notater eller lange tekstfelt ikke blir splittet til falske rader under delingen."},{"ICON":"files","TITLE":"Dupliserte headers, tomme kolonner og projisert output","DESCRIPTION":"Rotete headers og overdimensjonerte eksporter er vanlige i CRM-, finans- og support-eksporter.","BODY":"Dupliserte headers normaliseres slik at sammenligninger fortsatt fungerer. Tomme kolonner kan identifiseres, og projeksjon lar deg fjerne kolonner før du genererer output-filer."},{"ICON":"rows","TITLE":"Store filer og lazy preview","DESCRIPTION":"Forhåndsvisning skal hjelpe deg å bestemme, ikke hindre deg i å behandle store filer.","BODY":"For store radbaserte delinger kan verktøyet holde forhåndsvisningen lettvekts og bare forhåndslaste den første output-filen. Sekundære forhåndsvisninger og nedlastinger materialiseres ved behov."},{"ICON":"dates","TITLE":"Ugyldige datoer, regler uten treff og ujevne grupper","DESCRIPTION":"Splitteren holder rader i edge cases synlige i stedet for å forkaste dem i stillhet.","BODY":"Rader med ugyldige datoer kan legges i en egen fil, rader som ikke matcher noen regel kan beholdes i sin egen eksport, og grupperte delinger kan advare deg når ett segment er mye større enn resten."}],"EXAMPLES":{"COUNTRY":{"TITLE":"Del etter land eller status","DESCRIPTION":"Bruk deling etter grupperte verdier når du vil ha én CSV per land, eier, status, kilde eller et hvilket som helst felt med lav kardinalitet."},"RULES":{"TITLE":"Bygg output-filer basert på regler","DESCRIPTION":"Betingede regler lar deg definere praktiske destinasjoner som enterprise-kontoer, Gmail-adresser eller fallback-rader som ikke matcher noe."},"INPUT_LABEL":"Inndata","OUTPUT_LABEL":"Resultat"},"FAQ_ITEMS":[{"QUESTION":"Kan jeg dele en CSV etter kolonneverdi?","ANSWER":"Ja. Velg én eller flere kolonner, forhåndsvis antall grupper, sett eventuelt et tak på antall output-filer, og grupper sjeldne verdier i en «annet»-fil."},{"QUESTION":"Kan jeg dele en CSV etter filstørrelse?","ANSWER":"Ja. Angi et mål i byte per fil. Dette er nyttig når et annet verktøy har opplastingsgrenser. Forhåndsvisningen advarer når radlengdene varierer for mye til å gi pålitelige estimater."},{"QUESTION":"Kan jeg dele en CSV per måned eller år?","ANSWER":"Ja. Velg en datokolonne, velg måned, år eller ISO-uke, og bestem om ugyldige datoer skal gå til sin egen fil eller hoppes over."},{"QUESTION":"Oppretter verktøyet et ZIP-arkiv?","ANSWER":"Ja. Delinger med én output lastes ned som CSV. Delinger med flere filer lastes ned som ZIP, slik at store segmenterte eksporter forblir håndterbare."}],"FAQ_TITLE":"Ofte stilte spørsmål"},"ToolsDomainFinder":{"CONTENT":{"META_TITLE":"Gratis søk fra firmanavn til domene | Datablist","META_SOCIAL_TITLE":"Gratis søk fra firmanavn til domene","META_DESCRIPTION":"Lim inn opptil 10 firmanavn og finn nettstedene deres umiddelbart. Gratis, uten krav om betalingskort.","HERO":{"TITLE":"Finn domene fra firmanavn","DESCRIPTION":"Lim inn en liste med firmanavn og få nettstedene deres på få sekunder. Gratis, uten krav om betalingskort."},"PROOF":{"TITLE":"Basert på reelle data, ikke gjetninger","EYEBROW":"Dette inneholder databasen faktisk","BODY":"Det samme datasettet med selskaper som ligger bak Datablists betalte produkt for databerikelse, kryssjekket mot kjente mor- og datterselskapsforhold, slik at et treff ikke i det stille peker til feil merkevare.","STATS":[{"value":"85%+","label":"treffrate"},{"value":"3","label":"søkemetoder"},{"value":"32M","label":"selskaper"}]},"SOCIAL":{"TITLE":"Betrodd av oppstartsbedrifter og store selskaper","STATS":[{"value":"35,000+","label":"selskaper bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for leadgenerering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Lim inn listen din","body":"Kopier firmanavn fra en CRM-eksport, en kolonne i et regneark eller en uferdig leadliste, og lim dem inn i vårt gratis verktøy for å finne domener fra firmanavn. Vi skiller oppføringene ved linjeskift eller komma og fjerner automatisk identiske duplikater."},{"step":2,"title":"Vi sjekker databasen og deretter Google","body":"Hvert navn matches mot Datablists egen selskapsdatabase, det samme datasettet som ligger bak vårt betalte produkt for databerikelse. Hvis vi ikke finner et sikkert treff der, går vi videre til et direkte Google-søk. Vi velger ikke bare det første resultatet: Hver kandidat vurderes etter hvor godt den samsvarer med selskapet du søkte etter, slik at en katalogoppføring eller nyhetsartikkel om selskapet ikke returneres som selskapets nettsted."},{"step":3,"title":"Hvert resultat får en konfidensvurdering","body":"Ikke alle domenetreff er like sikre. Derfor får hver rad vurderingen Høy, Middels eller Lav basert på hvor godt navnet samsvarer, og hvordan domenet ble funnet. Rader med høy konfidens kan brukes med én gang. Resultater med middels eller lav konfidens bør sjekkes raskt før de legges til i en outreach-liste."}],"FLOW":["Selskapsdatabase","ingen sikre treff","direkte Google-søk","verifisert resultat"],"CTA":{"TITLE":"500 gratis søk, uten betalingskort","BODY":"En gratis konto fjerner grensen på 10 navn og gir deg 500 kreditter fra start.","LABEL":"Opprett en gratis konto"}},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Personalisering av kald outreach","body":"Finn nettstedet før du skriver emailen, slik at innledningen viser til noe reelt.","ctaLabel":"Guide til personalisering av kalde emails","ctaHref":"https://www.datablist.com/how-to/cold-email-personalization-tactics"},{"title":"Berikelse av leadlister","body":"Fyll inn manglende domener i en liste over potensielle kunder før den sendes til CRM-systemet eller sekvenseringsverktøyet.","ctaLabel":"Guide til berikelse av leadlister","ctaHref":"https://www.datablist.com/how-to/lead-list-building-guide"},{"title":"CRM-opprydding","body":"Knytt en foreldreløs selskapsoppføring til det riktige nettstedet.","ctaLabel":"Guide til CRM-rensing","ctaHref":"https://www.datablist.com/how-to/clean-enrich-refresh-data-crm"},{"title":"Undersøkelser av nisjeselskaper","body":"Finn nettsteder for mindre eller nyere selskaper som generelle søkemotorer og utdaterte databaser ikke fanger opp.","ctaLabel":"Guide til selskapsundersøkelser","ctaHref":"https://www.datablist.com/how-to/chatgpt-search-on-spreadsheet"}]},"COMPARISON":{"TITLE":"Datablist sammenlignet med andre domeneverktøy","HEADERS":["Verktøy","Månedlig kostnad","Kostnad per domene","Best egnet for"],"ROWS":[{"tool":"Datablist","cost":"$$25","perDomain":"$$0.005","bestFor":"Kostnadseffektiv bygging av leadlister og databerikelse i stor skala","favicon":"/free-tools/domain-finder/tool-favicons/datablist.png"},{"tool":"Company URL Finder","cost":"$$49","perDomain":"$$0.049","bestFor":"Team som allerede jobber i Google Sheets","favicon":"/free-tools/domain-finder/tool-favicons/company-url-finder.png"},{"tool":"CUFinder","cost":"$$49","perDomain":"$$0.049","bestFor":"Omfattende API-integrasjoner","favicon":"/free-tools/domain-finder/tool-favicons/cufinder.png"},{"tool":"Clay","cost":"$$185","perDomain":"$$0.0745","bestFor":"Komplekse workflows for databerikelse","favicon":"/free-tools/domain-finder/tool-favicons/clay.png"},{"tool":"Phantombuster","cost":"$$69","perDomain":"Variabel","bestFor":"Eksisterende Phantombuster-brukere","favicon":"/free-tools/domain-finder/tool-favicons/phantombuster.png"},{"tool":"Marcom Robot","cost":"$$59","perDomain":"$$0.059","bestFor":"Begrensede bruksområder","favicon":"/free-tools/domain-finder/tool-favicons/marcom-robot.png"},{"tool":"BuiltWith","cost":"$$295","perDomain":"Premium","bestFor":"Teknologibasert prospektering","favicon":"/free-tools/domain-finder/tool-favicons/builtwith.png"}],"NOTE":"Prisene er den rimeligste betalte månedsplanen for hvert verktøy, kontrollert mot leverandørens egen prisside i september 2026. Kostnaden per domene er beregnet ut fra antallet søk som er inkludert i planen.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"https://www.datablist.com/pricing"},{"n":2,"label":"Company URL Finder-abonnementer","href":"https://companyurlfinder.com/plans"},{"n":3,"label":"CUFinder-priser","href":"https://cufinder.io/pricing"},{"n":4,"label":"Clay-priser","href":"https://www.clay.com/pricing"},{"n":5,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":6,"label":"Marcom Robot-priser","href":"https://www.marcomrobot.com/data-enrichment/pricing"},{"n":7,"label":"BuiltWith-abonnementer","href":"https://builtwith.com/plans"}],"CTA":{"TITLE":"Slutt å betale per domene","BODY":"Datablist koster $0.005 per domene. Start gratis med 500 kreditter og uten betalingskort.","LABEL":"Opprett en gratis konto"}},"RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i bulk?","ENRICHMENT":{"label":"Domain Finder-berikelse","href":"https://www.datablist.com/enrichments/find-domain-for-company-name-bulk","blurb":"Kjør et helt regneark i stedet for ti navn om gangen, med den samme matchingen som først søker i databasen og deretter på Google."},"TOOLS":[{"label":"Sales Navigator Scraper","href":"https://www.datablist.com/tools/sales-navigator-scraper","blurb":"Hent leads fra en søke-URL uten å bruke LinkedIn-kontoen din."},{"label":"Gratis Email Finder","href":"https://www.datablist.com/tools/email-finder","blurb":"Finn jobbemails ut fra navn og selskap."},{"label":"Verktøy for rensing av firmanavn","href":"https://www.datablist.com/tools/company-name-cleaner","blurb":"Fjern juridiske selskapsendelser og korriger store og små bokstaver med AI-verktøyet."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"Hvor mange domener kan jeg søke etter gratis?","answer":"10 navn per kjøring, uten konto eller betalingskort. Kjør verktøyet på nytt når du trenger det, innenfor grenser for rimelig bruk som hindrer automatisert bruk i stor skala."},{"question":"Hva om jeg må behandle mer enn 10 om gangen?","answer":"Opprett en gratis konto, så forsvinner grensen på 10 navn. Du starter med 500 gratis kreditter og kan teste større grupper med én gang. For regelmessig bulkbruk gir Starter-abonnementets 5,000 månedlige kreditter deg dekning til $0.005 per domenetreff i databasen eller $0.0125 per Google-søk."},{"question":"Hva skjedde med Clearbits gratis Name to Domain API?","answer":"Den ble avviklet 30. april 2025. Dette verktøyet er en frittstående direkte erstatning, med en konfidensvurdering per rad som Clearbit aldri hadde."},{"question":"Kan jeg bruke dette verktøyet via et API?","answer":"Ja, Datablist tilbyr et API fra firmanavn til domene som lar deg finne et selskaps nettsted programmatisk. Du finner konfigurasjonstrinnene i implementeringsguiden for API-et på datablist.com/how-to/company-name-to-domain-api-enrichment."}]},"BREADCRUMB_CURRENT":"Domain Finder","SCHEMA_NAME":"Datablist – gratis søk fra firmanavn til domene","SCHEMA_DESCRIPTION":"Gratis nettverktøy for å finne domener fra firmanavn. Lim inn en liste med firmanavn og få nettstedene deres med en konfidensvurdering for hvert treff."},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Domain Finder","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than 10 company names?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and find company domains across your entire list. Review the matches, keep your original columns, and export the enriched results.","BULK_CTA":"Explore bulk Domain Finder","API_TITLE":"Find company domains from your code","API_DESCRIPTION":"Use the Company Name to Domain API to add domain lookups to your application or automated workflow. Send a company name and retrieve its domain programmatically.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"Listen din","DESCRIPTION":"Lim inn opptil 10 firmanavn og finn domenene deres på få sekunder.","PLACEHOLDERS":["Datablist","Celonis","Firmanavn"],"ROW_LABEL":"Firmanavn, rad {number}","REMOVE_ROW":"Fjern rad {number}","ADD_ROW":"Legg til en rad","ROW_LIMIT":"Du har nådd grensen på 10 rader for gratisverktøyet.","EMPTY":"Lim inn eller skriv inn et firmanavn for å komme i gang","READY_ONE":"1 navn er klart","READY_MANY":"{count} navn er klare","FIND_ONE":"Finn domene","FIND_MANY":"Finn domener","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Eksempelresultater · Disse ti eksemplene er kun ment som illustrasjon. Konfidensvurderingene er eksempler, ikke direkte resultater. Ingen kreditter ble brukt.","REJECTED_ONE":"1 oppføring så ikke ut som et firmanavn og ble hoppet over.","REJECTED_MANY":"{count} oppføringer så ikke ut som firmanavn og ble hoppet over.","OVERFLOW":"Du limte inn {count} navn – bare de første 10 ble kjørt gratis. Den gratis prøveperioden dekker opptil 500 søk (1 kreditt hver).","PROCESS_ALL":"Behandle alle {count}","NUMBER":"#","COMPANY_NAME":"Firmanavn","DOMAIN":"Domene","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Ingen treff funnet","COPY_ROW":"Kopier domenet for {name}","START_OVER":"Start på nytt","COPY_ALL":"Kopier alle","DOWNLOAD_CSV":"Last ned CSV","DOWNLOAD_FILENAME":"domains.csv","HIGH":"Høy","MEDIUM":"Middels","LOW":"Lav","VERY_LOW":"Svært lav","PRIVACY":"Navnene og resultatene dine er tilgjengelige i denne nettleseren i 24 timer. Datablist oppbevarer oppgavedata lenger for å fullføre og støtte søket.","UNAVAILABLE":"Dette søket er midlertidig utilgjengelig. Du kan fortsatt bruke Datablist-appen.","QUOTA_REACHED":"Du har brukt opp dagskvoten for dette gratisverktøyet. Kom tilbake om {hours} t {minutes} min, eller fortsett i Datablist.","QUOTA_RUN_TOO_LARGE":"Dette søket overskrider den gjenværende dagskvoten for dette gratisverktøyet. Prøv med færre navn, eller kom tilbake om {hours} t {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} kreditter igjen i dag","QUOTA_REDUCE":"{remaining} kreditter igjen i dag. Prøv med færre navn.","QUOTA_WAIT":"Dagskvoten er brukt opp. Kom tilbake om {hours} t {minutes} min.","CHALLENGE_REQUIRED":"Fullfør verifiseringen før du kjører søket.","RUN_FAILED":"Søket kunne ikke fullføres. Prøv igjen senere.","SUBMISSION_UNKNOWN":"Vi sjekker om søket ditt har startet. Last inn siden på nytt for å kontrollere statusen. Ikke send inn søket på nytt.","RETRY_STATUS":"Vi kunne ikke sjekke søket akkurat nå. Last inn siden på nytt for å prøve igjen.","EXPIRED":"Dette resultatet er ikke lenger tilgjengelig i denne nettleseren.","BANNER":"Registrer deg for en gratis konto og få 500 gratis søk fra firmanavn til domene, uten behov for betalingskort.","BANNER_CTA":"Få 500 gratis kreditter","RESULT_CTA":"Registrer deg for en prøveperiode og få 500 gratis søk fra firmanavn til domene!","RESULT_CTA_BUTTON":"Start gratis prøveperiode","CSV_NAME":"Navn","LOADING":"Laster inn","ERROR":"Feil","COMPLETE":"Fullført","HISTORY_TITLE":"Nylige søk","HISTORY_DESCRIPTION":"Åpne eller fjern et søk fra denne nettleseren mens resultatene er tilgjengelige, i opptil 24 timer. Hvis du fjerner det her, stoppes ikke søket, og kreditter tilbakeføres ikke.","HISTORY_REMOVE":"Fjern {name} fra denne nettleseren","HISTORY_COMPLETE":"Fullført","HISTORY_FAILED":"Krever oppfølging","HISTORY_ATTENTION":"Sjekker status","HISTORY_RUNNING":"Pågår","COPY_ERROR":"Kopieringen mislyktes. Prøv igjen eller last ned CSV-filen.","DEBUG_NOTICE":"Feilsøkingsresultater fra betafunksjonen. Dette er testdata, ikke et søk etter personen som ble sendt inn.","MORE_OPTIONS":"Flere alternativer","COUNTRY_LABEL":"Målland","COUNTRY_HELP":"Begrens selskapsdatasettet og Google-reservesøket til et bestemt land.","ALL_COUNTRIES":"Alle land","RUN_OPTIONS":"Kjøringsalternativer","OPTION_ON":"På","OPTION_OFF":"Av"}},"ToolsSalesNavigatorScraper":{"CONTENT":{"META_TITLE":"Gratis Sales Navigator-scraper | Datablist","META_SOCIAL_TITLE":"Gratis Sales Navigator-scraper","META_DESCRIPTION":"Lim inn en Sales Navigator-søke-URL og forhåndsvis leads gratis. Ingen LinkedIn-innlogging, informasjonskapsler eller økt-ID, så kontoen din er aldri utsatt.","SCHEMA_NAME":"Datablist gratis Sales Navigator-scraper","SCHEMA_DESCRIPTION":"Gratis nettbasert Sales Navigator-scraper. Lim inn en søke-URL og forhåndsvis leads uten å koble til en LinkedIn-konto – ingen informasjonskapsler eller økt-ID kreves.","BREADCRUMB_CURRENT":"Sales Navigator-scraper","HERO":{"TITLE":"Test markedets tryggeste Sales Navigator-scraper gratis!","DESCRIPTION":"Lim inn en søke-URL og forhåndsvis leads umiddelbart."},"SAFETY":{"TITLE":"Hvorfor dette ikke setter kontoen din i fare","ITEMS":[{"safe":true,"label":"Datablist","body":"Trenger bare én ting: søke-URL-en din. Ingen innloggingsopplysninger, informasjonskapsler, økt-ID eller utvidelse."},{"safe":false,"label":"Chrome-utvidelser","body":"Evaboot, Skrapp og lignende verktøy automatiserer klikk i den innloggede økten din. LinkedIns brukeravtale forbyr dette, og det er kontoen din som utsettes for risiko."},{"safe":false,"label":"Skyverktøy basert på informasjonskapsler","body":"Phantombuster og de fleste Apify-aktører ber deg lime inn øktinformasjonskapselen li_at. Det innebærer at du gir den innloggede økten din til en tredjepart."}]},"SOCIAL":{"TITLE":"Klarert av startups og store bedrifter","STATS":[{"value":"35,000+","label":"bedrifter bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for leadgenerering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Kjør søket ditt i Sales Navigator","body":"Filtrer etter stillingstittel, ansiennitet, sted, antall ansatte, bransje eller et annet Sales Navigator-filter til resultatlisten består av målgruppen du faktisk ønsker. Kopier deretter URL-en direkte fra adressefeltet."},{"step":2,"title":"Lim inn URL-en her","body":"Denne URL-en er alt vi trenger. Ingen innlogging, passord, nettleserutvidelse eller øktinformasjonskapsel kopiert fra utviklerverktøyene dine. Vi fjerner de kontospesifikke parameterne som Sales Navigator legger til, før URL-en sendes noe sted, fordi vi verken ønsker eller bruker dem."},{"step":3,"title":"Vi scraper fra vår egen infrastruktur","body":"Uthentingen kjører på Datablists servere, aldri gjennom LinkedIn-økten din. Dermed kan ingenting spores tilbake til kontoen din eller telle mot aktivitetsgrensene dine på LinkedIn. Du får tilbake en ryddig tabell som er klar til å berikes med emails eller sendes til CRM-et ditt."}],"CTA":{"TITLE":"Scrap et helt søk, ikke bare ti leads","BODY":"En gratiskonto starter med 500 kreditter og kobles aldri til LinkedIn-kontoen din.","LABEL":"Opprett en gratiskonto"}},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Bygg en liste med leads fra bunnen av","body":"Gjør et godt filtrert Sales Navigator-søk om til en ryddig liste uten duplikater som du faktisk kan jobbe med, i stedet for å bla gjennom resultatene manuelt.","ctaLabel":"Veiledning for å bygge lister med leads","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Finn emails til leads du scraper","body":"Et navn og en stillingstittel er ikke nok til å kontakte noen. Kjør den scrapede listen gjennom en waterfall email finder som sjekker over 20 leverandører før den gir opp en kontakt.","ctaLabel":"Finn emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Eksporter et helt søk samtidig","body":"Hvis du blar manuelt gjennom Sales Navigator-resultatene, begrenses du til noen få titalls leads. Det å eksportere hele søket i én omgang er det som gjør listen verdt å bygge.","ctaLabel":"Eksporter leads fra Sales Navigator","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"Scrap uten å risikere utestengelse","body":"Hvis du har utsatt scraping fordi du ikke vil miste nettverket ditt, er dette workflowen som fjerner all risiko for kontoen.","ctaLabel":"Veiledning for trygg scraping","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Sammenligning av Sales Navigator-scrapere","INTRO":"Alle de andre verktøyene nedenfor kjører scrapingen gjennom din egen LinkedIn-økt ved hjelp av en utvidelse eller en øktinformasjonskapsel du gir fra deg. Datablist er det eneste som aldri kobler seg til kontoen din.","HEADERS":["Verktøy","LinkedIn-kontoen din","Hva verktøyet trenger fra deg","Startpris","Kostnad per lead","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["Kobler seg aldri til den","En søke-URL","$$25/md.","$$0.05","Ja, over 20 leverandører"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["Utsatt for risiko","Utvidelse på kontoen din","$$39/md.","$$0.039","Ja"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["Utsatt for risiko","Utvidelse på kontoen din","$$9/md.","$$0.09","Ja"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["Utsatt for risiko","Øktinformasjonskapselen din","$$69/md.","Varierer","Ja"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["Utsatt for risiko","Øktinformasjonskapselen din","$$19/md.","Varierer","Nei"]}],"NOTE":"Prisene er den rimeligste månedsfakturerte betalingsplanen for hvert verktøy, kontrollert mot leverandørens egen prisside i september 2026. Kostnaden per lead er beregnet ut fra antallet leads som er inkludert i planen.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"/pricing"},{"n":2,"label":"Skrapp-priser","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evaboot-priser","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apify-priser","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Det eneste verktøyet som ikke berører kontoen din","BODY":"Start gratis med 500 kreditter. Ingen utvidelse, øktinformasjonskapsel eller betalingskort.","LABEL":"Opprett en gratiskonto"}},"RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i stor skala?","ENRICHMENT":{"label":"Sales Navigator-scraper","href":"/sources/linkedin-search-scraper","blurb":"Scrap et helt søk i stedet for en forhåndsvisning med ti leads, fortsatt uten å koble til LinkedIn-kontoen din."},"TOOLS":[{"label":"Gratis domenefinner","href":"/tools/domain-finder","blurb":"Finn nettsteder fra bedriftsnavn, med en konfidensvurdering."},{"label":"Gratis email finder","href":"/tools/email-finder","blurb":"Finn jobb-emails fra et navn og en bedrift."},{"label":"Verktøy for rydding av bedriftsnavn","href":"/tools/company-name-cleaner","blurb":"Fjern juridiske selskapsendelser og korriger store og små bokstaver med AI-verktøyet."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"Trenger jeg et Sales Navigator-abonnement?","answer":"Ja. De avanserte filtrene i Sales Navigator genererer søke-URL-en som dette verktøyet leser, så du trenger et aktivt abonnement for å opprette en. Du trenger ikke å gi oss tilgang til det."},{"question":"Hvorfor er dette trygt når andre scrapere ikke er det?","answer":"Alle de andre verktøyene i sammenligningen ovenfor kjører scrapingen gjennom din egen innloggede LinkedIn-økt, enten via en nettleserutvidelse eller en øktinformasjonskapsel du limer inn. LinkedIns brukeravtale forbyr dette, og det er kontoen din som rammes av håndhevingen. Datablist leser bare søke-URL-en og henter ut data via sin egen infrastruktur, så ingenting kan spores tilbake til deg."},{"question":"Hva koster en full scraping?","answer":"20 kreditter per lead når ingenting er koblet til LinkedIn-kontoen din, eller 10 hvis du velger å koble til din egen. Datablist starter på $25 per måned med månedlig fakturering og inkluderer 5,000 kreditter i måneden."},{"question":"Har Datablists Sales Navigator-scraper noen begrensninger?","answer":"Ja. Den kan ikke scrape søk som inkluderer kontotilknyttede filtre som «Følger bedriftssiden din», lagrede lister eller noe som er synkronisert fra CRM-et ditt, fordi disse ligger bak din personlige innlogging, som vi ikke kobler oss til."}]}},"TOOL":{"LABEL":"URL-en til Sales Navigator-søket ditt","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"Ingen LinkedIn-innlogging, informasjonskapsler eller økt-ID. Vi kobler oss aldri til kontoen din.","SUBMIT":"Scrap leads","BUSY":"Scraper","RESULTS":"Her er de første {count} leads fra søket ditt, helt gratis.","NAME":"Navn","JOB_TITLE":"Stillingstittel","COMPANY":"Bedrift","LOCATION":"Sted","COPY":"Kopier","COPIED":"Kopiert","DOWNLOAD":"Last ned CSV","NOTE":"Den gratis forhåndsvisningen viser {count} leads uten kontaktopplysninger. Emails og profil-URL-er hentes fra Datablists berikinger når du kjører en full scraping.","ERROR_EMPTY":"Lim inn en Sales Navigator-søke-URL for å starte.","ERROR_URL":"Dette ser ikke ut som en URL.","ERROR_HOST":"Denne lenken peker til {host}, ikke LinkedIn.","ERROR_PROFILE":"Dette er én enkelt LinkedIn-profil, ikke et søk.","ERROR_RECORD":"Dette er én enkelt Sales Navigator-oppføring, ikke et søk.","ERROR_SEARCH":"Dette er en LinkedIn-lenke, men ikke et Sales Navigator-søk.","ERROR_FAILURE":"Scrapingen ble ikke fullført. Prøv igjen om et øyeblikk.","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"Scrap hele listen","ERROR_HINTS":{"url":"Åpne søket ditt i Sales Navigator og kopier adressefeltet.","host":"Sales Navigator-URL-er starter med linkedin.com/sales/search/","profile":"Kjør først et søk i Sales Navigator, og kopier deretter denne URL-en.","record":"Gå tilbake til søkeresultatene og kopier URL-en derfra.","search":"Se etter linkedin.com/sales/search/people eller /sales/search/company"}}},"ToolsEmailFinder":{"CONTENT":{"META_TITLE":"Gratis email finder | Datablist","META_SOCIAL_TITLE":"Gratis email finder","META_DESCRIPTION":"Find a work email from a name and company or a LinkedIn profile. One found email free per day. Copy or download your result, with no signup required.","SCHEMA_NAME":"Datablist gratis email finder","SCHEMA_DESCRIPTION":"Free online waterfall email finder. Enter a name and company or a LinkedIn person profile to search for a work email address.","BREADCRUMB_CURRENT":"Email finder","HERO":{"TITLE":"Gratis email finder","DESCRIPTION":"Find one work email free each day. Give a name and company, or a LinkedIn profile.\nNo signup required."},"WATERFALL":{"TITLE":"Derfor er en waterfall bedre enn ett enkelt oppslag","ITEMS":[{"icon":"Layers","label":"A waterfall, not one provider","body":"Providers are tried one after another until one has the person. Some are databases, some derive the address from a known company pattern and verify it. A single-method finder gives you whatever that one method can reach, and nothing when it can't."},{"icon":"Search","label":"See the address and its status","body":"The result includes the email and its available deliverability status. An unverified address needs further checking before outreach."},{"icon":"ShieldCheck","label":"You only pay for hits","body":"On a paid plan the waterfall costs 25 credits per email found. Lookups that come back empty cost nothing, so a low-quality list does not quietly drain your balance."}]},"SOCIAL":{"TITLE":"Brukes av både oppstartsbedrifter og store selskaper","STATS":[{"value":"35,000+","label":"selskaper bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for lead-generering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Give us a name and a company","body":"First name, last name, and either the company name or its domain. A domain is more reliable, because it skips the step of working out which business the name refers to. If you only have a LinkedIn profile, select LinkedIn URL and paste that instead."},{"step":2,"title":"We run a waterfall, not a single lookup","body":"Datablist tries available work-email providers in sequence and stops when an address is found. The free tool uses the synchronous waterfall; larger lists and the full workflow are available in the Datablist app."},{"step":3,"title":"You see what was actually found","body":"Copy the address or download the result as CSV. If no email is found, the reserved credits return to your daily allowance once the task settles. Your results can be reopened in this browser for 24 hours."}],"CTA":{"TITLE":"Find emails for a full list","BODY":"En gratis konto starter med 500 credits og kan behandle en hel liste på én gang.","LABEL":"Opprett en gratis konto"}},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Bygg en lead-liste med personer du faktisk kan kontakte","body":"Et navn og et selskap er ikke nok til å kontakte noen. Når du gjør en innhentet eller eksportert liste om til en liste du kan sende til, blir den faktisk verdifull.","ctaLabel":"Finn emailer i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Fyll ut manglene i en liste du allerede har","body":"De fleste eksporter er bare delvis utfylt. Kjør bare radene som mangler en adresse, og betal ingenting for dem som ikke gir treff.","ctaLabel":"Opprett en lead-liste med emailer","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"Bruk dine egne leverandørnøkler","body":"Betaler du allerede for Hunter, Dropcontact eller lignende? Kjør waterfall-søket med dine egne nøkler, og hopp helt over Datablists creditsystem.","ctaLabel":"Tilpasset waterfall email finder","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"Tilpass innholdet før du sender","body":"En verifisert adresse er begynnelsen, ikke slutten. Det som avgjør om emailen fungerer, er om den første linjen virker skrevet for akkurat denne personen.","ctaLabel":"Personalisering av cold email","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"Hva 1,000 emailer som faktisk blir funnet, koster","INTRO":"Pris per credit skjuler det som betyr noe: hva du betaler for tusen adresser du faktisk kan sende til. Hunter er billigere per email fordi tjenesten søker i én indeks. En waterfall koster mer per oppslag og finner personer som én enkelt kilde ikke har. Blant waterfall-løsningene er Datablist billigst.","HEADERS":["Verktøy","Kostnad / 1,000 emailer","Hvordan de blir funnet","Ingen treff"],"BEST_LABEL":"Lavest av alle waterfall-løsninger","BEST_LABEL_MOBILE":"{cost} · lavest av alle waterfall-løsninger","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"Indeks fra én enkelt kilde","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"Waterfall med 20+ leverandører","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"Waterfall med 20+ leverandører","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"Waterfall med 20+ leverandører","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"Egenutviklet database","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150+ integrasjoner","misses":"Belastes ikke","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"Kun pristilbud","approach":"Egenutviklet database","misses":"Ikke publisert","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"Kun pristilbud","approach":"Egenutviklet database","misses":"Ikke publisert","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"Kostnad per 1,000 emailer som blir funnet, basert på Datablists egen publiserte sammenligning og prissiden til hver leverandør, kontrollert i september 2026. Alle oppførte verktøy tar bare betalt for adresser de finner, så tallene er sammenlignbare. Leverandører som bare tilbyr pristilbud, publiserer ikke priser.","SOURCES":[{"n":1,"label":"Datablists CPME-analyse","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablist-priser","href":"/pricing"},{"n":3,"label":"Hunter.io-priser","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContact-priser","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrich-priser","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apollo-priser","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clay-priser","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"Betal bare for emailene du faktisk får","BODY":"Start gratis med 500 credits. Oppslag uten treff koster ingenting.","LABEL":"Opprett en gratis konto"}},"RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i større skala?","ENRICHMENT":{"label":"Waterfall Email Finder","href":"/enrichments/email-finder","blurb":"Run a full list through the work-email waterfall, paying only for the addresses it finds."},"TOOLS":[{"label":"Gratis domenefinner","href":"/tools/domain-finder","blurb":"Gjør selskapsnavn om til nettsteder, med en konfidensvurdering."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Hent leads fra en søke-URL uten å bruke LinkedIn-kontoen din."},{"label":"Verktøy for rensing av selskapsnavn","href":"/tools/company-name-cleaner","blurb":"Fjern juridiske endelser og rett store og små bokstaver med AI-verktøyet."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"How many emails can I find for free?","answer":"The tool allows 25 credits per UTC day, enough for one found work email. Each search reserves 25 credits while it runs. A search that finds nothing costs no credits after settlement, so you can try again within the remaining allowance. Limits apply to both your browser session and IP address."},{"question":"What happens after my daily allowance is used?","answer":"New searches pause until midnight UTC. The form shows how long you need to wait. Existing results remain available for 24 hours, and you can continue with larger lists in the Datablist app."},{"question":"What does it cost in the Datablist app?","answer":"25 Datablist credits per email found when using the default waterfall. Lookups that come back empty cost nothing. A $20 credit pack is 20,000 credits, which is up to 800 found emails."},{"question":"How is this different from a normal email finder?","answer":"A waterfall tries multiple available providers rather than relying on a single lookup. The free tool returns the address and its deliverability status without exposing provider details. Custom provider keys and larger lists are available in the Datablist app."},{"question":"What do I need to provide?","answer":"Either a first name, last name and company, or a LinkedIn profile URL. A company domain beats a company name, because it removes the guesswork of matching the name to the right business first."},{"question":"Can I search from a LinkedIn profile instead?","answer":"Yes, select LinkedIn URL above the fields and paste the profile URL. It has to be a person's profile (linkedin.com/in/...), not a company page. This is useful when you know who someone is but not where they work."},{"question":"Do you find personal email addresses?","answer":"This tool finds work emails. Datablist has a separate Personal Email Finder enrichment for consumer addresses, which is a different product with different rules around it."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Email Finder","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"Finding emails for a full list?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and find work emails for your contacts. Use names and companies or LinkedIn profile URLs, review the email addresses and their statuses, and export the enriched list.","BULK_CTA":"Explore bulk Email Finder","API_TITLE":"Find work emails from your code","API_DESCRIPTION":"Use the Waterfall Email Finder API to add email lookups to your application or automated workflow. Send a person's name and company or LinkedIn profile URL, then retrieve the email address and its status.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"MODE_LABEL":"Hvordan vil du søke?","MODE_NAME":"Navn + selskap","MODE_LINKEDIN":"LinkedIn-URL","FIRST_NAME":"Fornavn","LAST_NAME":"Etternavn","COMPANY":"Selskap eller domene","LINKEDIN":"URL til LinkedIn-profil","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"Et domene fungerer bedre enn et selskapsnavn.","HINT_LINKEDIN":"Profilen til en person, ikke en selskapsside.","COPY":"Kopier","COPIED":"Kopiert","NOT_FOUND_HINT":"No email was returned. This search uses no credits after settlement. Try a company domain instead of its name, or continue in Datablist.","BANNER":"Opprett en gratis konto og få 500 credits, nok til 20 emailer som blir funnet. Du trenger ikke betalingskort.","BANNER_CTA":"Få 500 gratis credits","TITLE":"Find a work email","DESCRIPTION":"One contact per search","PLACEHOLDERS":[],"EMPTY":"Enter a name and company, or a LinkedIn profile","READY_ONE":"1 contact ready","READY_MANY":"{count} contacts ready","FIND_ONE":"Find email","FIND_MANY":"Find email","INVALID_CONTACT":"Complete the name and company fields, or use a valid linkedin.com/in/ profile URL. Sales Navigator links are not supported here.","SAMPLE_BUTTON":"See sample results","SAMPLE_NOTICE":"Illustrative sample results. The address and deliverability status are examples. This sample uses no credits.","PRIVACY":"Your inputs and results are available in this browser for 24 hours. Datablist keeps task data longer to complete and support the run.","UNAVAILABLE":"This free tool is temporarily unavailable. You can still use the Datablist app.","QUOTA_REACHED":"You've used your daily quota for this free tool. Come back in {hours} h {minutes} min, or continue in Datablist.","QUOTA_RUN_TOO_LARGE":"This search exceeds your remaining daily allowance. Come back in {hours} h {minutes} min.","QUOTA_REMAINING":"{remaining} of {limit} credits left today","QUOTA_REDUCE":"{remaining} credits left today. A search reserves 25 credits.","QUOTA_WAIT":"Daily quota used. Come back in {hours} h {minutes} min.","CHALLENGE_REQUIRED":"Complete the verification before starting the search.","RUN_FAILED":"The search could not finish. You can open any available results or try again later.","SUBMISSION_UNKNOWN":"We are checking whether your search started. Reload this page to check its status; please do not submit it again.","RETRY_STATUS":"We could not check the search right now. Reload this page to try again.","EXPIRED":"This result is no longer available in this browser.","NO_MATCH":"No work email found","VERIFIED":"Verified","UNVERIFIED":"Unverified — check before outreach","START_OVER":"Start over","COPY_ALL":"Copy email","COPY_ERROR":"Copy failed. Try again or download the CSV.","DOWNLOAD_CSV":"Download CSV","DOWNLOAD_FILENAME":"email-finder.csv","CSV_CONTACT":"Contact","CSV_EMAIL":"Email","STATUS":"Status","RESULT_CTA":"Find emails for a full list in Datablist.","RESULT_CTA_BUTTON":"Open Datablist","HISTORY_TITLE":"Your recent searches","HISTORY_DESCRIPTION":"Reopen or remove a search from this browser for up to 24 hours. Removing it does not stop execution or restore credits.","HISTORY_REMOVE":"Remove {name} from this browser","HISTORY_COMPLETE":"Complete","HISTORY_FAILED":"Needs attention","HISTORY_ATTENTION":"Checking status","HISTORY_RUNNING":"In progress","FOUND":"Work email found"}},"ToolsCompanyNameCleaner":{"CONTENT":{"META_TITLE":"Gratis verktøy for rensing av firmanavn | Datablist","META_SOCIAL_TITLE":"Gratis verktøy for rensing av firmanavn","META_DESCRIPTION":"Rens opptil 10 firmanavn per kjøring med AI. Standardiser store og små bokstaver samt juridiske selskapsformer, og kopier eller eksporter deretter resultatene. Ingen registrering; en daglig grense gjelder.","SCHEMA_NAME":"Datablist – gratis verktøy for rensing av firmanavn","SCHEMA_DESCRIPTION":"Rens opptil 10 firmanavn per kjøring med AI. Standardiser store og små bokstaver samt juridiske selskapsformer, og kopier eller eksporter deretter resultatene. Ingen registrering; en daglig grense gjelder.","BREADCRUMB_CURRENT":"Rensing av firmanavn","HERO":{"TITLE":"Standardiser uensartede firmanavn gratis","DESCRIPTION":"Lim inn en liste, korriger bruken av store og små bokstaver, og velg om juridiske endelser skal beholdes. 10 navn per kjøring, uten registrering."},"FORMULA":{"TITLE":"Hvorfor ikke bare bruke en regnearkformel?","QUOTE":"«Du ender opp med en enorm, nestet SUBSTITUTE-formel som slutter å virke hvis den møter en endelse den ikke gjenkjenner.» Det er fellen med egenlagde formler: De kjenner bare mønstrene du har tenkt på, og hvert nye format krever enda en endring i noe som allerede er vanskelig å lese. Et AI-basert renseverktøy leser i stedet navnet i sammenheng. Derfor håndterer det en endelse, en skrivemåte eller en bransjeforkortelse som ingen har skrevet en regel for.","HEADERS":["Før","Etter","Hva det viser"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"STORE BOKSTAVER korrigert, endelse fjernet"},{"raw":"müller & söhne gmbh & co. kg","note":"små bokstaver korrigert, sammensatt endelse prioriteres fremfor bare «GmbH»"},{"raw":"\"Tech Company, INC.\"","note":"omsluttende anførselstegn og endelse fjernet"},{"raw":"SAP","note":"akronym på tillatt-listen, beholdt nøyaktig som det er"},{"raw":"1234567 Ontario Inc.","note":"et format for nummererte selskaper; kontroller det rensede navnet før bruk"}],"NOTE":"Eksemplene er kun ment som illustrasjon. AI-verktøyet returnerer et renset firmanavn, men ingen konfidenspoeng eller forklaringer. Kontroller viktige navn før bruk.","REVIEW":"Kontroller"},"FIXES":{"TITLE":"Dette korrigeres","ITEMS":[{"icon":"Scissors","title":"Fjerning av juridiske endelser","body":"AI-verktøyet kan fjerne juridiske selskapsformer som Inc., LLC, Ltd., GmbH og SAS, samtidig som det gjenkjennelige firmanavnet beholdes."},{"icon":"CaseSensitive","title":"Korrigering av store og små bokstaver","body":"Verktøyet standardiserer inkonsekvent bruk av store og små bokstaver og kan bevare gjenkjennelige navn og forkortelser."},{"icon":"Eraser","title":"Mellomrom, anførselstegn og tegnsetting","body":"Fjerner doble mellomrom og omsluttende anførselstegn som følger med når du limer inn fra et regneark, og rydder opp i komma eller punktum som står igjen etter at en endelse er fjernet."},{"icon":"CopyCheck","title":"Sammenlign før og etter","body":"Sammenlign de opprinnelige og rensede navnene før du kopierer resultatene eller laster ned en CSV-fil."}]},"SOCIAL":{"TITLE":"Brukes av både oppstartsbedrifter og konserner","STATS":[{"value":"35,000+","label":"selskaper bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for leadgenerering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Lim inn listen din","body":"Ett firmanavn per linje, opptil 10 per kjøring. Fungerer med data rett fra en CRM-eksport, en scrapet liste med leads eller en regnearkkolonne – inkludert uensartet bruk av store og små bokstaver og juridiske endelser. Grensen finnes fordi hvert navn koster credits å behandle, ikke fordi verktøyet har problemer med flere navn."},{"step":2,"title":"Verktøyet standardiserer hvert navn","body":"AI-verktøyet returnerer et renset navn, slik at du kan sammenligne det med originalen. Det returnerer ikke konfidenspoeng eller forklaringer."},{"step":3,"title":"Kopier eller last ned resultatet","body":"Kopier de standardiserte navnene direkte til utklippstavlen, eller last ned hele sammenligningen som en CSV-fil med opprinnelig navn, renset navn og resultatstatus for hver rad."}],"CTA":{"TITLE":"Rens mer enn 10 om gangen","BODY":"En gratis konto starter med 500 credits, nok til 1,000 firmanavn.","LABEL":"Opprett en gratis konto"}},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Standardiser navn før de legges inn i CRM-systemet","body":"Fang opp inkonsekvent bruk av store og små bokstaver og juridiske endelser før du får duplikater som «Acme Inc» og «ACME Corporation» i samme pipeline.","ctaLabel":"Slik standardiserer du firmanavn","ctaHref":"/how-to/normalize-company-names"},{"title":"Fjern duplikater fra en eksisterende liste","body":"De fleste verktøy oppfatter to rader som bare skiller seg i store og små bokstaver eller en endelse, som ulike selskaper. Standardiser først, så blir duplikatene tydelige.","ctaLabel":"Slik fjerner du duplikater blant firmanavn","ctaHref":"/how-to/dedupe-company-names"},{"title":"Oppdater en utdatert CRM-eksport","body":"I en eksport fra et eldre system har inkonsekvent navngivning ofte hopet seg opp. Standardiser dataene når de importeres igjen, i stedet for å ta rotet med videre.","ctaLabel":"Rens, berik og oppdater CRM-data","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"Standardiser en liste før du sender email","body":"Felter med firmanavn brukes i personaliseringstokens. Et navn med løse anførselstegn eller STORE BOKSTAVER som roper, er en detalj mottakeren faktisk legger merke til.","ctaLabel":"Veiledning for rensing av email-lister","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"Standardiser listen din gratis","RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i stor skala?","ENRICHMENT":{"label":"Beriking med rensing av firmanavn","href":"/enrichments/company-name-cleaner","blurb":"Det samme renseverktøyet uten grensen på 10 navn, kjørt direkte på et datasett i Datablist. 0.5 credits per navn, og gjentatte rader bufres i stedet for å belastes to ganger."},"TOOLS":[{"label":"Gratis domenefinner","href":"/tools/domain-finder","blurb":"Fra firmanavn til nettsteder, med en konfidensvurdering."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Leads fra en søke-URL uten å bruke LinkedIn-kontoen din."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Jobb-emails basert på navn og selskap."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"Er dette gratisverktøyet AI-basert?","answer":"Ja. Det bruker Datablists AI-baserte verktøy for rensing av firmanavn, det samme som ligger bak den betalte berikingen. Verktøyet leser sammenheng og bransjesjargong i stedet for å søke i en fast liste over endelser. Grensen er 10 navn per kjøring fordi hvert navn koster 0.5 credits å behandle."},{"question":"Hvor mange navn kan jeg standardisere gratis?","answer":"Opptil 10 per kjøring, innenfor en daglig grense på 5 credits per nettleserøkt og IP-adresse. Hvert innsendte navn reserverer 0.5 credit. Ubrukte reserverte credits frigis når kjøringen er ferdig. Grensen tilbakestilles ved midnatt UTC."},{"question":"Returnerer verktøyet konfidenspoeng?","answer":"Nei. Det returnerer et renset firmanavn. Tabellen viser om det returnerte navnet avviker fra inndataene dine. Kontroller viktige eller tvetydige navn før bruk."},{"question":"Hvor sendes navnene jeg limer inn?","answer":"De sendes til Datablist for standardisering fordi renseverktøyet er en AI-modell som kjører på infrastrukturen vår, og ikke et skript i nettleseren din. Ingenting kjøres før du trykker på knappen, slik at du kan se nøyaktig hva som ble hentet fra utklippstavlen før noe sendes."},{"question":"Hva er forskjellen mellom dette og den betalte berikingen?","answer":"Samme renseverktøy, ulik skala. Denne siden behandler 10 navn om gangen uten konto. Berikingen kjører direkte på et datasett i Datablist uten grensen på 10 navn, til 0.5 credits per navn. Dermed slipper du å eksportere og lime inn på nytt, og gjentatte rader bufres i stedet for å belastes to ganger."},{"question":"Kan jeg standardisere navn jeg allerede har importert til Datablist?","answer":"Ja – den betalte berikingen kjører direkte på et datasett i Datablist, så du trenger ikke eksportere og lime inn på nytt. Dette gratisverktøyet er laget for en kort liste du har tilgjengelig akkurat nå."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Company Name Cleaner","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than 10 company names?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and clean company names across your entire list. Choose whether to keep legal forms, review the cleaned names and confidence levels, and export the results with your original columns.","BULK_CTA":"Explore bulk Company Name Cleaner","API_TITLE":"Clean company names from your code","API_DESCRIPTION":"Use the Company Name Cleaner API to standardize names in your application or automated workflow. Send company names, choose whether to keep legal forms, and retrieve the cleaned names with AI-estimated confidence levels.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"Listen din","DESCRIPTION":"Lim inn opptil 10 firmanavn for å korrigere store og små bokstaver og juridiske selskapsformer.","PLACEHOLDERS":["Acme Solutions LLC","MÜLLER & SÖHNE GMBH","Firmanavn"],"ROW_LABEL":"Firmanavn, rad {number}","REMOVE_ROW":"Fjern rad {number}","ADD_ROW":"Legg til en ny rad","ROW_LIMIT":"Opptil 10 firmanavn per kjøring.","EMPTY":"Lim inn eller skriv inn et firmanavn for å komme i gang","READY_ONE":"1 navn klart","READY_MANY":"{count} navn klare","FIND_ONE":"Rens navn","FIND_MANY":"Rens navn","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Eksempelresultater kun ment som illustrasjon. Konfidensvurderingene er eksempler, ikke sanntidspoeng. Denne forhåndsvisningen bruker ingen credits.","REJECTED_ONE":"Én inndata kunne ikke brukes. Kontroller formatet.","REJECTED_MANY":"{count} inndata kunne ikke brukes. Kontroller formatet.","OVERFLOW":"Du limte inn {count} navn. Opptil 10 kan kjøres samtidig.","PROCESS_ALL":"Rens alle {count} navn i Datablist","NUMBER":"#","COMPANY_NAME":"Firmanavn","DOMAIN":"Domene","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Ingen rensede navn ble returnert","COPY_ROW":"Kopier renset navn","START_OVER":"Start på nytt","COPY_ALL":"Kopier standardiserte navn","DOWNLOAD_CSV":"Last ned CSV","DOWNLOAD_FILENAME":"rensede-firmanavn.csv","HIGH":"Høy","MEDIUM":"Middels","LOW":"Lav","VERY_LOW":"Svært lav","PRIVACY":"Inndataene og resultatene dine er tilgjengelige i denne nettleseren i 24 timer. Datablist oppbevarer oppgavedata lenger for å fullføre og støtte kjøringen.","UNAVAILABLE":"Dette gratisverktøyet er midlertidig utilgjengelig. Du kan fortsatt bruke Datablist-appen.","QUOTA_REACHED":"Du har brukt opp dagens kvote for dette gratisverktøyet. Kom tilbake om {hours} t {minutes} min, eller fortsett i Datablist.","QUOTA_RUN_TOO_LARGE":"Dette oppslaget overstiger den gjenværende dagskvoten din for dette gratisverktøyet. Prøv med færre navn, eller kom tilbake om {hours} t {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} credits igjen i dag","QUOTA_REDUCE":"{remaining} credits igjen i dag. Prøv med færre navn.","QUOTA_WAIT":"Dagskvoten er brukt opp. Kom tilbake om {hours} t {minutes} min.","CHALLENGE_REQUIRED":"Fullfør verifiseringen før du kjører oppslaget.","RUN_FAILED":"Kjøringen kunne ikke fullføres. Du kan åpne eventuelle tilgjengelige resultater eller prøve igjen senere.","SUBMISSION_UNKNOWN":"Vi kontrollerer om oppslaget ditt startet. Last inn siden på nytt for å sjekke statusen. Ikke send det inn på nytt.","RETRY_STATUS":"Vi kunne ikke kontrollere oppslaget akkurat nå. Last inn siden på nytt for å prøve igjen.","EXPIRED":"Dette resultatet er ikke lenger tilgjengelig i denne nettleseren.","BANNER":"Opprett en gratis konto og få 500 credits, nok til å rense 1,000 firmanavn. Betalingskort er ikke nødvendig.","BANNER_CTA":"Få 500 gratis credits","RESULT_CTA":"Rens større lister i Datablist.","RESULT_CTA_BUTTON":"Åpne Datablist","CSV_NAME":"Navn","LOADING":"Laster inn","ERROR":"Feil","COMPLETE":"Fullført","HISTORY_TITLE":"Dine nylige oppslag","HISTORY_DESCRIPTION":"Åpne eller fjern et oppslag fra denne nettleseren mens resultatene er tilgjengelige, i opptil 24 timer. Hvis du fjerner det her, stoppes ikke oppslaget, og credits tilbakeføres ikke.","HISTORY_REMOVE":"Fjern {name} fra denne nettleseren","HISTORY_COMPLETE":"Fullført","HISTORY_FAILED":"Krever oppmerksomhet","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"Pågår","CLEAN_ONE":"Rens navn","CLEAN_MANY":"Rens navn","NORMALIZE_ALL":"Standardiser alle {count}","ORIGINAL":"Original","NORMALIZED":"Standardisert","WHAT_CHANGED":"Hva ble endret","REVIEW":"Kontroller","DUPLICATE_OF":"Duplikat av «{name}»","NO_CHANGE":"Ingen endring nødvendig","CHANGES":{"spaces":"Ekstra mellomrom slått sammen","quotes":"Anførselstegn fjernet","suffix":"Juridisk endelse fjernet","casing":"Store og små bokstaver korrigert"},"COPY":"Kopier standardiserte navn","COPIED":"Kopiert","DOWNLOAD":"Last ned CSV","REVIEW_CTA_ONE":"1 rad er merket Kontroller – verktøyet var ikke sikkert på resultatet. Datablists AI-baserte beriking leser sammenhengen, ikke bare en liste over endelser.","REVIEW_CTA_MANY":"{count} rader er merket Kontroller – verktøyet var ikke sikkert på resultatene. Datablists AI-baserte beriking leser sammenhengen, ikke bare en liste over endelser.","SEE_ENRICHMENT":"Se berikingen","DEBUG_NOTICE":"Feilsøkingsresultater fra betafunksjonen. Dette er testdata, ikke et oppslag på personen som ble sendt inn.","CHANGED":"Endret","UNCHANGED":"Uendret","COPY_ERROR":"Kopieringen mislyktes. Prøv igjen eller last ned CSV-filen.","MORE_OPTIONS":"Flere alternativer","KEEP_SUFFIX_LABEL":"Behold juridiske endelser","KEEP_SUFFIX_HELP":"Behold juridiske selskapsformer som Inc., LLC, Ltd. og GmbH i rensede navn.","RUN_OPTIONS":"Kjøringsalternativer","OPTION_ON":"På","OPTION_OFF":"Av","CONFIDENCE_HELP":"AI-estimert konfidens for at det rensede navnet bevarer selskapets identitet. Dette er ikke en ekstern verifisering."}},"ToolsInstagramFollowerScraper":{"CONTENT":{"META_TITLE":"Gratis Instagram follower scraper | Datablist","META_SOCIAL_TITLE":"Gratis Instagram follower scraper","META_DESCRIPTION":"Gratis nettbasert Instagram follower scraper. Hent følgere fra enhver offentlig Instagram-profil uten innlogging, cookies eller nettleserutvidelser.","SCHEMA_NAME":"Datablist gratis Instagram follower scraper","BREADCRUMB_CURRENT":"Instagram follower scraper","HERO":{"TITLE":"Gratis Instagram follower scraper","DESCRIPTION":"Skriv inn én Instagram-profil-URL eller ett brukernavn, og få opptil 100 følgere per kjøring. Ingen innlogging eller cookies kreves."},"SAFETY":{"TITLE":"Derfor utsetter dette ikke Instagram-kontoen din for risiko","ITEMS":[{"safe":true,"label":"Datablist","body":"Trenger bare URL-en eller brukernavnet til den offentlige profilen. Kobler aldri til din personlige Instagram-konto og krever ingen innloggingsopplysninger, cookies eller nettleserutvidelser."},{"safe":false,"label":"Chrome-utvidelser (IG Exporter osv.)","body":"Automatiserer scraping ved å kapre den aktive nettleserøkten din. Meta overvåker rask rulling og API-forespørsler i økten, noe som kan føre til umiddelbar blokkering av handlinger og suspendering av kontoen."},{"safe":false,"label":"Skybaserte scrapere som bruker cookies (PhantomBuster)","body":"Krever at du kopierer og limer inn den sensitive sessionid-cookien din fra utviklerverktøyene. Dette overlater den innloggede Instagram-identiteten din til eksterne servere og utsetter kontoen din for høy risiko."}]},"SOCIAL":{"TITLE":"Valgt av både oppstartsbedrifter og store selskaper","STATS":[{"value":"35,000+","label":"selskaper bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for lead-generering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Skriv inn en Instagram-profil eller et brukernavn","body":"Lim inn URL-en til en offentlig Instagram-profil (f.eks. instagram.com/nike), et brukernavn (@nike) eller en numerisk bruker-ID. Du kan også lime inn flere influencer-profiler samtidig når du bruker hele Datablist-applikasjonen."},{"step":2,"title":"Vi scraper trygt fra skyserverne våre","body":"Uthentingen kjøres utelukkende på Datablists dedikerte infrastruktur. Vi ber aldri om Instagram-passordet ditt, tofaktorkoden din eller økt-cookien din (sessionid), slik at den personlige kontoen din er 100 % trygg mot blokkeringer og utestengelser."},{"step":3,"title":"Eksporter og berik med emails og telefonnumre","body":"Last ned den ryddige følgertabellen som CSV eller Excel. I Datablist kan du kjøre de innhentede brukernavnene gjennom en sekvens av over 15 leverandører av email- og telefondata for å finne verifisert kontaktinformasjon til creator-kampanjene dine."}],"CTA":{"TITLE":"Scrape komplette følgerlister, ikke bare ti forhåndsvisningsrader","BODY":"En gratis Datablist-konto inkluderer 500 credits (opptil 50,000 følgere) uten krav om Instagram-innlogging.","LABEL":"Opprett en gratis konto"}},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Målgruppe- og konkurrentanalyse","body":"Finn ut nøyaktig hvem som følger konkurrerende merkevarer og ledende aktører i nisjen. Analyser felles interesser, verifiseringsgrad og målgruppedemografi for å spisse markedsposisjoneringen din.","ctaLabel":"Guide til bygging av lead-lister","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Influencer-markedsføring og søk etter creators","body":"Hent følgerlister fra ledende creators i bransjen, og filtrer etter verifiserte profiler eller offentlige kontaktetiketter for å bygge lister over samarbeidspartnere med høy konvertering.","ctaLabel":"Guide til scraping av influencere","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"Finn emails til Instagram-leads","body":"Et Instagram-brukernavn alene kan ikke kontaktes direkte via B2B outreach. Kjør følgerlisten gjennom Datablists waterfall email finder for å finne verifiserte jobb-emails.","ctaLabel":"Finn emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Scraping i stor skala uten utestengte kontoer","body":"Tradisjonelle verktøy tvinger deg til å ofre en Instagram-konto til algoritmer som motvirker scraping. Datablists serverbaserte motor fjerner kontorisikoen fullstendig.","ctaLabel":"Dokumentasjon for Instagram-følgere","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Sammenligning av Instagram follower scrapere","INTRO":"Alle konkurrentene automatiserer enten klikk i den aktive nettleseren din eller krever at du limer inn den sensitive økt-cookien din. Datablist er den eneste plattformen som utfører scraping på isolert skyinfrastruktur.","HEADERS":["Verktøy","IG-konto","Hva det krever","Pris","Kostnad/følger","Berikelse"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"Kobler aldri til den","needs":"Profil-URL eller @brukernavn","cost":"$$25/mnd. eller gratis prøveperiode","perFollower":"$$0.0001 (0.01 credits)","enrichment":"Waterfall for email og telefon","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"Utsatt for risiko","needs":"Økt-cookien din (sessionid)","cost":"$$69/mnd.","perFollower":"Tidsbasert (~$0.003)","enrichment":"Krever en separat Phantom","best":false},{"tool":"Apify","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/apify.svg","safety":"Risikabelt / teknisk","needs":"API-oppsett og actor-konfigurasjon","cost":"$$49/mnd.","perFollower":"Compute-enheter (varierer)","enrichment":"Nei (kun rådata)","best":false},{"tool":"Chrome-utvidelser","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/chrome.svg","safety":"Høy risiko (utestengt konto)","needs":"Utvidelse på kontoen din","cost":"$$15/mnd.","perFollower":"~$0.001","enrichment":"Nei","best":false}],"NOTE":"Prisene er det laveste nivået for hvert verktøy ved månedlig fakturering, verifisert i september 2026. Datablists følgerkostnad er beregnet til 0.01 credits per følger med abonnementet til $25/måned.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"https://www.datablist.com/pricing"},{"n":2,"label":"PhantomBuster-priser","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify-priser","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Den eneste scrapere som aldri ber om Instagram-innloggingen din","BODY":"Start gratis med 500 credits. Ingen utvidelse, ingen økt-cookie og ingen betalingskort kreves.","LABEL":"Opprett en gratis konto"}},"RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i stor skala?","ENRICHMENT":{"label":"Instagram Followers Scraper","href":"/sources/instagram-followers","blurb":"Scrape opptil 2,000,000 følgere fra flere profiler i bulk, filtrer etter creator og berik med verifiserte emails."},"TOOLS":[{"label":"Gratis LinkedIn-profil-scraper","href":"/tools/linkedin-profile-scraper","blurb":"Hent verifisert arbeidshistorikk, kompetanse og nåværende rolle fra enhver LinkedIn-profil."},{"label":"Gratis Sales Navigator-scraper","href":"/tools/sales-navigator-scraper","blurb":"Hent leads fra Sales Navigator-søk uten å koble til en LinkedIn-konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Waterfall-søk etter email på tvers av over 15 leverandører basert på navn og domene."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"Må jeg koble til Instagram-kontoen min eller oppgi innloggingsdetaljer?","answer":"Nei. Datablist ber aldri om Instagram-passordet ditt, tofaktorkoden din eller økt-cookien din (sessionid). All scraping kjøres på Datablists dedikerte skyservere. Det betyr at din personlige Instagram-profil eller bedriftsprofil aldri kobles til og derfor ikke kan flagges eller utestenges."},{"question":"Kan jeg scrape mer enn 100,000 følgere?","answer":"Ja. Datablist kan scrape mer enn 100,000 følgere og støtter datasett med opptil 2,000,000 poster per samling. Fordi uthentingen kjøres utelukkende på Datablists dedikerte skyinfrastruktur, behandles store følgerlister kontinuerlig uten nettleserkrasj på grunn av minne eller avbrudd som følge av rate limits."},{"question":"Er det lovlig å scrape Instagram-følgere?","answer":"Ja. Scraping av offentlig tilgjengelige data fra offentlige profiler er lovlig i de fleste større jurisdiksjoner. Datablist henter bare data som er synlige for alle besøkende som ikke er innlogget, og omgår ikke begrensninger for private profiler."},{"question":"Hvilke datapunkter hentes, og kan jeg finne email-adresser?","answer":"Dette gratisverktøyet returnerer bruker-ID, brukernavn, fullt navn, profil-URL, kontoens personvernstatus og verifiseringsstatus. Ukjente verdier for personvern eller verifisering forblir uspesifiserte. Etter uthentingen kan du kjøre brukernavnene gjennom Datablists Waterfall Email- og Phone Finders på tvers av over 15 dataleverandører for å finne verifisert kontaktinformasjon."},{"question":"Hva koster det å scrape Instagram-følgere i Datablist?","answer":"Scraping av følgere koster 0.01 credits per følger (100 følgere per credit). En gratis Datablist-konto inkluderer 500 gratis credits ved registrering (nok til 50,000 følgere). Betalte abonnementer starter på $25/måned for 5,000 credits (500,000 følgere), og credits utløper aldri."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Instagram Follower Scraper","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk scraping","API_LABEL":"API","BULK_TITLE":"More than 100 followers or multiple profiles?","BULK_DESCRIPTION":"Enter a list of Instagram profiles in Datablist and set a follower limit per profile. Import the followers into a collection, review the results, and export your list as CSV or Excel. No Instagram login required.","BULK_CTA":"Explore bulk follower scraping","API_TITLE":"Retrieve Instagram followers from your code","API_DESCRIPTION":"Use the Instagram Followers/Following Scraper API to collect followers or following users for one or more profiles. Send usernames or profile URLs, set a limit per profile, and retrieve the results as JSON for your application or automated workflow.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"Instagram-følgere","DESCRIPTION":"Instagram-profil-URL, brukernavn eller handle","PLACEHOLDERS":["https://www.instagram.com/nike/ eller @nike"],"ROW_LABEL":"Instagram-profil","REMOVE_ROW":"Fjern profil","ADD_ROW":"Legg til en profil","ROW_LIMIT":"Én profil og opptil 100 følgere per kjøring.","EMPTY":"Skriv inn en Instagram-profil for å komme i gang","READY_ONE":"1 profil er klar","READY_MANY":"{count} profiler er klare","FIND_ONE":"Scrape følgere","FIND_MANY":"Scrape følgere","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Illustrerende eksempel med fiktive følgere. Denne forhåndsvisningen kjøres i nettleseren din og bruker ingen credits.","REJECTED_ONE":"Denne profilen kunne ikke brukes. Kontroller formatet.","REJECTED_MANY":"{count} inndata kunne ikke brukes. Kontroller formatet.","OVERFLOW":"Du limte inn {count} profiler. Dette gratisverktøyet godtar én om gangen.","PROCESS_ALL":"Scrape alle de {count} profilene i Datablist","NO_MATCH":"Ingen følgere ble returnert for denne profilen.","COPY_ROW":"Kopier profil-URL for {name}","START_OVER":"Start på nytt","COPY_ALL":"Kopier CSV","DOWNLOAD_CSV":"Last ned CSV","COPY_ERROR":"Kopieringen mislyktes. Prøv igjen, eller last ned CSV-filen.","PRIVACY":"Inndataene og resultatene dine er tilgjengelige i denne nettleseren i 24 timer. Datablist beholder oppgavedataene lenger for å fullføre og støtte kjøringen.","UNAVAILABLE":"Dette gratisverktøyet er midlertidig utilgjengelig. Du kan fortsatt bruke Datablist-appen.","QUOTA_REACHED":"Du har brukt opp dagskvoten for dette gratisverktøyet. Kom tilbake om {hours} t {minutes} min, eller fortsett i Datablist.","QUOTA_RUN_TOO_LARGE":"Denne scrapingen overstiger den gjenværende dagskvoten din. Kom tilbake om {hours} t {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} credits igjen i dag","QUOTA_REDUCE":"{remaining} credits igjen i dag. Vent til dagskvoten din tilbakestilles.","QUOTA_WAIT":"Dagskvoten er brukt opp. Kom tilbake om {hours} t {minutes} min.","CHALLENGE_REQUIRED":"Fullfør verifiseringen før du scraper følgere.","RUN_FAILED":"Scrapingen kunne ikke fullføres. Eventuelle tilgjengelige følgere vises nedenfor.","SUBMISSION_UNKNOWN":"Vi sjekker om scrapingen startet. Last inn siden på nytt for å sjekke statusen. Ikke send den inn på nytt.","RETRY_STATUS":"Vi kunne ikke sjekke scrapingen akkurat nå. Last inn siden på nytt for å prøve igjen.","EXPIRED":"Disse resultatene er ikke lenger tilgjengelige i denne nettleseren.","BANNER":"Scrape større følgerlister og berik dem i Datablist. Start med 500 gratis credits, uten krav om betalingskort.","BANNER_CTA":"Få 500 gratis credits","RESULT_CTA":"Scrape større følgerlister i Datablist.","RESULT_CTA_BUTTON":"Åpne Datablist","HISTORY_TITLE":"Dine nylige scrapinger","HISTORY_DESCRIPTION":"Åpne eller fjern en scraping fra denne nettleseren i opptil 24 timer. Å fjerne den her stopper ikke scrapingen og tilbakefører ikke credits.","HISTORY_REMOVE":"Fjern {name} fra denne nettleseren","HISTORY_COMPLETE":"Fullført","HISTORY_FAILED":"Krever oppfølging","HISTORY_ATTENTION":"Sjekker status","HISTORY_RUNNING":"Pågår","DEBUG_NOTICE":"Feilsøkingsresultater fra beta-handlingen. Dette er testdata.","LABEL":"Instagram-profil-URL, brukernavn eller handle","PLACEHOLDER":"https://www.instagram.com/cristiano/ eller @nike","SCRAPE":"Scrape følgere","SCRAPING":"Scraper","SAFETY":"Ingen Instagram-innlogging, cookies eller passord kreves. Vi kobler aldri til kontoen din.","SAMPLES":"Eller prøv et eksempel:","ERRORS":{"EMPTY":{"REASON":"Skriv inn en Instagram-profil-URL, et brukernavn eller et handle."},"USERNAME":{"REASON":"Skriv inn et gyldig Instagram-brukernavn."},"TOO_LONG":{"REASON":"Instagram-brukernavn kan ikke være lengre enn 30 tegn."},"CHARACTERS":{"REASON":"Ugyldige tegn i brukernavnet.","HINT":"Instagram-brukernavn kan bare inneholde bokstaver, tall, punktum og understreker."},"RESERVED_HANDLE":{"REASON":"«{value}» er en Instagram-systemside, ikke en brukerprofil."},"BAD_URL":{"REASON":"Dette ser ikke ut som en gyldig URL eller et gyldig brukernavn.","HINT":"Skriv inn en lenke til en Instagram-profil (f.eks. https://www.instagram.com/cristiano/) eller et handle (@cristiano)."},"WRONG_SITE":{"REASON":"Dette er en lenke til {value}, ikke Instagram.","HINT":"Oppgi en lenke til en Instagram-profil (f.eks. instagram.com/username) eller et handle."},"HOMEPAGE":{"REASON":"Dette er Instagrams forside, ikke en bestemt profil.","HINT":"Lim inn en profil-URL med et brukernavn på slutten, for eksempel instagram.com/nike/."},"POST":{"REASON":"Dette er en lenke til et individuelt Instagram-innlegg eller en reel, ikke en profil.","HINT":"For å scrape følgere åpner du forfatterens profilside og kopierer denne URL-en i stedet."},"STORY":{"REASON":"Dette er en lenke til en Instagram Story.","HINT":"Stories er midlertidige og har ingen offentlig følgerliste. Lim inn profil-URL-en til creatoren."},"EXPLORE":{"REASON":"Dette er en Instagram-tag eller Explore-side, ikke en profil.","HINT":"Skriv inn profil-URL-en til en creator, merkevare eller influencer for å scrape følgerne deres."},"SYSTEM_PAGE":{"REASON":"Dette peker til en Instagram-systemside, ikke en brukerprofil."},"PROFILE_USERNAME":{"REASON":"Profilens brukernavn i denne URL-en er ikke gyldig.","HINT":"Kontroller at URL-en samsvarer med https://www.instagram.com/username/."}},"SCRAPE_ERROR":"Scrapingen ble ikke fullført. Prøv igjen om et øyeblikk.","RESULTS":"Her er de første {count} følgerne til @{handle}, gratis.","USER":"Bruker","USER_ID":"Bruker-ID","ACCOUNT_PRIVACY":"Personvern","PROFILE":"Profil","ID":"ID: {id}","VERIFIED":"Verifisert","PRIVATE":"Privat","PUBLIC":"Offentlig","VIEW":"Vis","COPIED":"Kopiert","COPY":"Kopier","DOWNLOAD":"Last ned CSV","SCRAPE_FULL":"Scrape hele listen","RESULT_NOTE":"Den gratis forhåndsvisningen viser {count} følgere uten kontaktdetaljer. Bruk Datablists verktøy for å scrape opptil 2,000,000 følgere i bulk og kjøre dem gjennom en sekvens av email- og phone finders:","SOURCE_LABEL":"Instagram Followers Scraper","CSV_HEADER":"Bruker-ID,Brukernavn,Fullt navn,Verifisert,Privat,Profil-URL,Følger av","YES":"Ja","NO":"Nei","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"Gratis LinkedIn-profilscraper | Datablist","META_SOCIAL_TITLE":"Gratis LinkedIn-profilscraper","META_DESCRIPTION":"Slå opp en persons LinkedIn-profil uten å koble til LinkedIn-kontoen din. Hent tilgjengelige data om identitet, jobbhistorikk og utdanning. Daglig kvote gjelder.","SCHEMA_NAME":"Datablist gratis LinkedIn-profilscraper","BREADCRUMB_CURRENT":"LinkedIn-profilscraper","HERO":{"TITLE":"Gratis LinkedIn-profilscraper","DESCRIPTION":"Lim inn URL-en til en personprofil på LinkedIn eller Sales Navigator for å hente tilgjengelige profil-, jobb- og utdanningsopplysninger. Ingen LinkedIn-innlogging eller øktinformasjonskapsel kreves."},"SAFETY":{"TITLE":"Ingen tilkobling til LinkedIn-kontoen din","ITEMS":[{"safe":true,"label":"Datablist","body":"Bare profil-URL-en er nødvendig. Behandlingen kjører på Datablists infrastruktur uten LinkedIn-innloggingen din, øktinformasjonskapsler eller en nettleserutvidelse."},{"safe":false,"label":"Chrome-utvidelser","body":"Evaboot, Skrapp og lignende nettleserverktøy automatiserer klikk og sidevisninger i den innloggede nettleserøkten din. LinkedIn oppdager og begrenser kontoer som bruker automatisering på klientsiden."},{"safe":false,"label":"Informasjonskapselbaserte skyverktøy","body":"Phantombuster og skybaserte aktører krever at du kopierer og limer inn den sensitive li_at-øktinformasjonskapselen din. Når du overlater den aktive økten din til delte tredjepartsservere, utsettes kontoen din for oppdagelse og utestengelse."}]},"SOCIAL":{"TITLE":"Brukes av både oppstartsbedrifter og store selskaper","STATS":[{"value":"35,000+","label":"selskaper bruker Datablist"},{"value":"20M+","label":"rader berikes hver måned"},{"value":"60+","label":"verktøy for leadgenerering"}],"LOGOS":[{"name":"Uber","src":"/free-tools/domain-finder/customers/uber.svg","width":71,"height":24},{"name":"FedEx","src":"/free-tools/domain-finder/customers/fedex.svg","width":78,"height":24},{"name":"Zendesk","src":"/free-tools/domain-finder/customers/zendesk.svg","width":125,"height":24},{"name":"valantic","src":"/free-tools/domain-finder/customers/valantic.svg","width":111,"height":24},{"name":"SEON","src":"/free-tools/domain-finder/customers/seon.svg","width":70,"height":24},{"name":"SAP","src":"/free-tools/domain-finder/customers/sap.svg","width":49,"height":24}],"DATADOG":"Datadog"},"HOW":{"TITLE":"Slik fungerer det","STEPS":[{"step":1,"title":"Kopier en valgfri LinkedIn-profil-URL","body":"Gå til profilen du vil scrape på LinkedIn eller Sales Navigator, og kopier lenken fra adressefeltet i nettleseren. Både vanlige profil-URL-er (linkedin.com/in/...) og lead-URL-er fra Sales Navigator støttes."},{"step":2,"title":"Lim inn URL-en her","body":"Lim inn URL-en i feltet ovenfor. Vi fjerner automatisk sporingsparametere (som trk og lipi) før behandlingen. Innlogging, passord, Chrome-utvidelse eller øktinformasjonskapsel er aldri nødvendig."},{"step":3,"title":"Hent strukturerte profildetaljer","body":"Uthentingen kjører på Datablists dedikerte infrastruktur, helt adskilt fra den personlige LinkedIn-kontoen din. Du får rene, strukturerte data tilbake: navn, overskrift, sammendrag, firmografiske data om nåværende arbeidsgiver, tidligere jobbhistorikk og utdanning."}],"CTA":{"TITLE":"Scrape 20 profiler gratis samtidig","BODY":"En gratis Datablist-konto starter med 500 credits. Last opp CSV-filen din og berik hele lister på få minutter.","LABEL":"Opprett en gratis konto"}},"DATA":{"TITLE":"Hvilke data du får fra hver LinkedIn-profil","ITEMS":[{"icon":"UserCheck","title":"Identitet og sted","description":"Grunnleggende personopplysninger for nøyaktig identifisering av potensielle kunder og segmentering av målgrupper.","fields":["Fornavn","Etternavn","Fullt navn","Overskrift","Om / sammendrag","By, delstat og land","Landskode (ISO-2)"]},{"icon":"Database","title":"Nåværende rolle og firmografiske data","description":"Detaljerte arbeidsgiverdata for å vurdere ICP-samsvar og lage målrettede outbound-budskap.","fields":["Stillingstittel","Selskapsnavn","Selskapets LinkedIn-URL","Selskapets nettsted","Bransje","Intervall for antall ansatte","Startdato og varighet i rollen","Rollebeskrivelse"]},{"icon":"BriefcaseIcon","title":"Karriere og jobbhistorikk","description":"Tilgjengelige opplysninger om opptil to tidligere roller.","fields":["To tidligere stillingstitler","Navn på tidligere selskaper","Ansettelsestid og datoer","Rollebeskrivelser og resultater"]},{"icon":"Layers","title":"Utdanning og språk","description":"Tilgjengelige opplysninger om utdanning og språk.","fields":["Navn på universitet / skole","Oppnådd grad","Studieretning","Datoer for fullført utdanning","Talte språk"]}]},"USE_CASES":{"TITLE":"Bruksområder","ITEMS":[{"title":"Personalisering av kalde emails og meldinger","body":"Scrape jobbhistorikk, nylige karrierebytter og biografiske sammendrag for potensielle kunder, slik at du kan lage svært personlig kald outreach som treffer og konverterer.","ctaLabel":"Veiledning for bygging av leadlister","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Kandidatsøk og rekruttering","body":"Hent komplette kandidatprofiler, inkludert tilgjengelige opplysninger om tidligere arbeidsgivere og utdanning, direkte inn i en organisert talentdatabase.","ctaLabel":"Veiledning for scraping av LinkedIn-opplysninger","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"Finn verifiserte jobbemails","body":"Gjør scrapede navn og selskapsnettsteder om til verifiserte profesjonelle emailadresser med Datablists waterfall-beriking for email på tvers av 20+ leverandører.","ctaLabel":"Finn emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Oppdatering av CRM-kontakter og -kontoer","body":"Hold kontaktene dine i Salesforce eller HubSpot oppdatert. Oppdag automatisk jobbskifter, nye forfremmelser og oppdaterte firmografiske data uten manuell dataregistrering.","ctaLabel":"Veiledning for CRM-databeriking","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"Sammenligning av LinkedIn-profilscrapere","INTRO":"De fleste LinkedIn-scrapere automatiserer enten den aktive økten din eller fakturerer for uforutsigbar kjøretid. Datablist opererer uavhengig på sin egen skyinfrastruktur, med transparent pris per profil.","HEADERS":["Verktøy","LinkedIn-konto","Hva det krever","Pris","Kostnad / profil","CSV i bulk"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/linkedin-profile-scraper/datablist.png","values":["Kobler aldri til den","Bare offentlig profil-URL","$$25/mnd.","$$0.025","Ja, 100k+ rader"],"best":true},{"tool":"Phantombuster","favicon":"/free-tools/linkedin-profile-scraper/phantombuster.png","values":["I fare","Øktinformasjonskapsel (li_at)","$$69/mnd.","Fakturert per minutt","Begrenset"],"best":false},{"tool":"Apify","favicon":"/free-tools/linkedin-profile-scraper/apify.svg","values":["I fare","Actor-oppsett / proxy-nøkler","$$29/mnd.","Varierer","Via API/JSON"],"best":false},{"tool":"Clay","favicon":"/free-tools/linkedin-profile-scraper/clay.png","values":["Trygg (databaseoppslag)","Databaseoppslag (ikke live)","$$185/mnd.","$$0.05 - $0.10","Ja"],"best":false},{"tool":"Evaboot","favicon":"/free-tools/linkedin-profile-scraper/evaboot.png","values":["I fare","Utvidelse på kontoen din","$$9/mnd.","$$0.09","Bare Sales Nav"],"best":false}],"NOTE":"Prisene er hvert verktøys laveste nivå ved månedlig fakturering, kontrollert mot leverandørenes aktive prissider i september 2026. Datablists kostnad per profil er beregnet med 25 credits per profil på abonnementet til $25/måned.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"/pricing"},{"n":2,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify-priser","href":"https://apify.com/pricing"},{"n":4,"label":"Clay-priser","href":"https://clay.com/pricing"},{"n":5,"label":"Evaboot-priser","href":"https://evaboot.com/pricing"}],"CTA":{"TITLE":"Den eneste scrapere som aldri kobler seg til LinkedIn-kontoen din","BODY":"Start gratis med 500 credits. Ingen utvidelse, ingen øktinformasjonskapsel og ingen krav om kredittkort.","LABEL":"Opprett en gratis konto"}},"RELATED":{"TITLE":"Relaterte verktøy","EYEBROW":"Trenger du dette i bulk?","ENRICHMENT":{"label":"LinkedIn-profilscraper","href":"/enrichments/linkedin-profile-scraper-bulk","blurb":"Behandle større lister med LinkedIn-profiler fra en CSV-fil i Datablist, uten å koble til LinkedIn-kontoen din."},"TOOLS":[{"label":"Gratis Sales Navigator-scraper","href":"/tools/sales-navigator-scraper","blurb":"Hent leads fra Sales Navigator-søk uten å koble til kontoen din."},{"label":"Gratis email finder","href":"/tools/email-finder","blurb":"Finn verifiserte jobbemails fra en persons navn og selskapets domene."},{"label":"Gratis domenefinner","href":"/tools/domain-finder","blurb":"Konverter selskapsnavn til offisielle nettstedsdomener med konfidenspoeng."}]},"FAQ":{"TITLE":"Ofte stilte spørsmål","ITEMS":[{"question":"Kobler Datablist seg til LinkedIn-kontoen min eller bruker øktinformasjonskapsler?","answer":"Nei. Datablist kobler seg aldri til LinkedIn-kontoen din og ber aldri om passordet eller øktinformasjonskapslene dine (li_at). All scraping kjører utelukkende på vår dedikerte skyinfrastruktur med offentlige profildata, noe som fullstendig eliminerer risikoen for kontobegrensninger eller utestengelse."},{"question":"Kan jeg finne verifiserte jobbemails for de scrapede profilene?","answer":"Ja. I Datablist kan du sende scrapede navn og selskapsdomener gjennom vår Waterfall Email Finder på tvers av 20+ dataleverandører for å finne og verifisere emailadresser. Du betaler bare credits for bekreftede treff."},{"question":"Hvilke datapunkter hentes fra hver LinkedIn-profil?","answer":"Verktøyet returnerer tilgjengelige data om identitet, overskrift, sammendrag, sted, språk, forbindelser, nåværende jobb, opptil to tidligere roller og den første utdanningsoppføringen. Manglende felt forblir tomme. Ferdigheter, bilder og URN-er er ikke inkludert."},{"question":"Kan jeg scrape LinkedIn-profiler i bulk og bruke URL-er fra Sales Navigator?","answer":"Ja. Datablist godtar vanlige LinkedIn-profil-URL-er og lead-URL-er fra Sales Navigator. Du kan laste opp en CSV-fil med tusenvis av lenker for å scrape profiler i bulk, med en hastighet på omtrent 1,000 profiler på 3 minutter."},{"question":"Hvor mye koster det å scrape profiler i Datablist?","answer":"Scraping koster 25 credits per profil (20 credits for bufrede data). Hver gratiskonto inkluderer 500 gratis credits ved registrering (nok til 20 komplette profiler). Betalte abonnementer starter på $25/måned for 5,000 credits, og credits utløper aldri."},{"question":"Kan dette verktøyet returnere bufrede profildata?","answer":"Ja. Dette gratisverktøyet godtar bufrede profiler. Dataene kan være ufullstendige eller utdaterte. Det returnerer én nåværende rolle, opptil to tidligere roller og én utdanningsoppføring når disse er tilgjengelige. Det returnerer ikke ferdigheter, profilbilder eller LinkedIn-URN. Hver kjøring reserverer 25 credits fra den daglige kvoten din på 25 credits per økt og IP-adresse."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use LinkedIn Profile Scraper","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than one LinkedIn profile?","BULK_DESCRIPTION":"Import a CSV or Excel file of LinkedIn profile URLs into Datablist and retrieve available profile, employment, and education details in bulk. Review the results and export the enriched list.","BULK_CTA":"Explore bulk LinkedIn Profile Scraper","API_TITLE":"Retrieve LinkedIn profile data from your code","API_DESCRIPTION":"Use the LinkedIn Profile Scraper API to add profile lookups to your application or automated workflow. Send LinkedIn profile URLs and retrieve available profile, employment, and education details.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"Profilen din","DESCRIPTION":"Skriv inn én LinkedIn-profil-URL eller Sales Navigator lead-URL","PLACEHOLDERS":["https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"LinkedIn-profil-URL","REMOVE_ROW":"Fjern rad {number}","ADD_ROW":"Legg til en ny rad","ROW_LIMIT":"Én LinkedIn-profil per kjøring.","EMPTY":"Lim inn en LinkedIn-profil-URL for å komme i gang","READY_ONE":"Klar til å slå opp denne profilen","READY_MANY":"Klar til å slå opp denne profilen","FIND_ONE":"Scrape profil","FIND_MANY":"Scrape profil","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Illustrerende eksempelresultater. Denne forhåndsvisningen bruker ingen credits.","REJECTED_ONE":"Én inndata kunne ikke brukes. Kontroller formatet.","REJECTED_MANY":"{count} inndata kunne ikke brukes. Kontroller formatet.","OVERFLOW":"Én profil kan behandles om gangen.","PROCESS_ALL":"Behandle alle {count}","NUMBER":"#","COMPANY_NAME":"Selskapsnavn","DOMAIN":"Domene","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Ingen profildata funnet","COPY_ROW":"Kopier domenet for {name}","START_OVER":"Start på nytt","COPY_ALL":"Kopier CSV","DOWNLOAD_CSV":"Last ned CSV","DOWNLOAD_FILENAME":"linkedin-profile.csv","DOWNLOAD_JSON":"Last ned JSON","DOWNLOAD_JSON_FILENAME":"linkedin-profile.json","HIGH":"Høy","MEDIUM":"Middels","LOW":"Lav","VERY_LOW":"Svært lav","PRIVACY":"Inndataene og resultatene dine er tilgjengelige i denne nettleseren i 24 timer. Datablist beholder oppgavedata lenger for å fullføre og støtte kjøringen.","UNAVAILABLE":"Dette gratisverktøyet er midlertidig utilgjengelig. Du kan fortsatt bruke Datablist-appen.","QUOTA_REACHED":"Du har brukt opp dagskvoten for dette gratisverktøyet. Kom tilbake om {hours} t {minutes} min, eller fortsett i Datablist.","QUOTA_RUN_TOO_LARGE":"Dette oppslaget overskrider den gjenværende dagskvoten din for dette gratisverktøyet. Prøv færre navn, eller kom tilbake om {hours} t {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} credits igjen i dag","QUOTA_REDUCE":"{remaining} credits igjen i dag. Dette profiloppslaget krever 25 credits.","QUOTA_WAIT":"Dagskvoten er brukt opp. Kom tilbake om {hours} t {minutes} min.","CHALLENGE_REQUIRED":"Fullfør verifiseringen før du kjører oppslaget.","RUN_FAILED":"Kjøringen kunne ikke fullføres. Du kan åpne eventuelle tilgjengelige resultater eller prøve igjen senere.","SUBMISSION_UNKNOWN":"Vi kontrollerer om oppslaget ditt har startet. Last inn siden på nytt for å sjekke statusen. Ikke send det inn på nytt.","RETRY_STATUS":"Vi kunne ikke kontrollere oppslaget akkurat nå. Last inn siden på nytt for å prøve igjen.","EXPIRED":"Dette resultatet er ikke lenger tilgjengelig i denne nettleseren.","BANNER":"Trenger du flere profiler? Fortsett i Datablist.","BANNER_CTA":"Åpne Datablist","RESULT_CTA":"Berik en komplett liste med LinkedIn-profiler i Datablist.","RESULT_CTA_BUTTON":"Åpne Datablist","CSV_NAME":"Navn","LOADING":"Laster inn","ERROR":"Feil","COMPLETE":"Fullført","HISTORY_TITLE":"Dine nylige oppslag","HISTORY_DESCRIPTION":"Åpne eller fjern et oppslag fra denne nettleseren mens resultatene er tilgjengelige, i opptil 24 timer. Hvis du fjerner det her, stopper ikke oppslaget, og credits blir ikke tilbakeført.","HISTORY_REMOVE":"Fjern {name} fra denne nettleseren","HISTORY_COMPLETE":"Fullført","HISTORY_FAILED":"Krever oppmerksomhet","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"Pågår","LABEL":"LinkedIn-profil-URL eller Sales Navigator lead-URL","PLACEHOLDER":"https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/...","SCRAPE":"Scrape profil","SAFETY":"Ingen LinkedIn-innlogging, informasjonskapsler eller økt-ID. Vi kobler oss aldri til kontoen din.","SAMPLES":"Eller prøv et eksempel:","RESULTS":"Her er de uthentede opplysningene for {name}, gratis.","TABLE":"Datatabell","OVERVIEW":"Oversiktskort","PROPERTY":"Egenskap","VALUE":"Uthentet verdi","IDENTITY":"Identitet og sted","CURRENT":"Nåværende stilling og firmografiske data","HISTORY":"Jobbhistorikk ({count} stillinger)","EDUCATION_SKILLS":"Utdanning og språk","CONNECTIONS":"Forbindelser","LANGUAGES":"Språk","NAME":"Fullt navn","FIRST_LAST":"Fornavn og etternavn","HEADLINE":"Overskrift","SUMMARY":"Om / sammendrag","LOCATION":"Sted","LOCATION_VALUE":"{location} (Land: {country})","PROFILE_URL":"Profil-URL","URN":"LinkedIn-URN","JOB":"Nåværende stillingstittel","COMPANY":"Selskapsnavn","WEBSITE":"Selskapets nettsted","INDUSTRY_SIZE":"Bransje og størrelse","DATES":"Ansettelsestid / datoer","PREVIOUS_ROLE":"Tidligere rolle #{number}","ROLE_AT":"{title} hos {company}","EDUCATION":"Utdanning #{number}","SKILLS":"Viktigste ferdigheter","BIO":"Om / biografi","POSITION":"Nåværende stilling","PAST":"Tidligere erfaring","COPY_CSV":"Kopier CSV","COPIED_CSV":"CSV kopiert","COPY_JSON":"Kopier JSON","COPIED_JSON":"JSON kopiert","DOWNLOAD":"Last ned CSV","FULL_LIST":"Scrape hele listen","RESULT_NOTE":"Den gratis forhåndsvisningen henter komplette datapunkter fra én enkelt profil. For å scrape hundrevis eller tusenvis av profiler i bulk fra en CSV-fil uten risiko for kontoen, kan du bruke Datablists ","COPY_ERROR":"Kopieringen mislyktes. Prøv igjen, eller last ned CSV-filen.","CSV_HEADERS":["Fullt navn","Fornavn","Etternavn","Overskrift","Stillingstittel","Selskapsnavn","Selskapets nettsted","Selskapets LinkedIn-URL","Bransje","Intervall for antall ansatte","By","Delstat","Land","Landskode","Normalisert profil-URL","Sammendrag","Tidligere erfaring 1 – tittel","Tidligere erfaring 1 – selskap","Tidligere erfaring 1 – datoer","Tidligere erfaring 2 – tittel","Tidligere erfaring 2 – selskap","Tidligere erfaring 2 – datoer","Utdanningsinstitusjon","Utdanningsgrad","Språk"],"ERRORS":{"EMPTY":{"REASON":"Lim inn en LinkedIn-profil-URL.","HINT":"Eksempel: https://www.linkedin.com/in/satyanadella"},"INVALID_URL":{"REASON":"Dette ser ikke ut som en gyldig URL.","HINT":"Pass på å lime inn en fullstendig lenke som starter med linkedin.com"},"WRONG_SITE":{"REASON":"Dette er ikke en LinkedIn-URL.","HINT":"URL-en peker til «{value}». Lim inn en lenke til en LinkedIn-profil."},"COMPANY":{"REASON":"Dette er en selskaps- eller institusjonsside, ikke en personprofil.","HINT":"For å scrape personer må du lime inn URL-en til en personprofil, formatert som linkedin.com/in/username"},"SEARCH":{"REASON":"Dette er URL-en til søkeresultater, ikke en profil-URL.","HINT":"For å scrape søkeresultater kan du prøve vår gratis Sales Navigator-scraper. For dette verktøyet klikker du på en profil og limer inn den individuelle lenken."},"POST":{"REASON":"Dette er et LinkedIn-innlegg eller en artikkel, ikke en profil.","HINT":"Klikk på forfatterens navn for å se profilen, og kopier og lim deretter inn profil-URL-en."},"PATH":{"REASON":"Ukjent LinkedIn-profilbane.","HINT":"Lim inn en profillenke som samsvarer med linkedin.com/in/username, eller en Sales Navigator lead-URL."}},"VERIFIED_PROFILE":"Verifisert profil","SCRAPED_CLEAN":"Profildata","ENRICHMENT_LABEL":"LinkedIn-profilscraper","RESULT_NOTE_SUFFIX":" bulkberiking.","DEBUG_NOTICE":"Feilsøkingsresultater fra betahandlingen. Dette er testdata, ikke et oppslag av personen som ble sendt inn.","CHANGED":"Endret","UNCHANGED":"Uendret","CSV_HEADER_LINE":"Fullt navn|Fornavn|Etternavn|Overskrift|Stillingstittel|Selskapsnavn|Selskapets nettsted|Selskapets LinkedIn-URL|Bransje|Intervall for antall ansatte|By|Delstat|Land|Landskode|Normalisert profil-URL|Sammendrag|Tidligere erfaring 1 – tittel|Tidligere erfaring 1 – selskap|Tidligere erfaring 1 – datoer|Tidligere erfaring 2 – tittel|Tidligere erfaring 2 – selskap|Tidligere erfaring 2 – datoer|Utdanningsinstitusjon|Utdanningsgrad|Språk"}},"UseCaseAiScraping":{"PAGE_TITLE":"AI Web Scraping uten kode","PAGE_DESC":"Skrap tusenvis av nettsteder med en enkel prompt. Datablists AI Agent forstår behovene dine, navigerer på sider og henter ut strukturert data—uten kode.","USE_CASE":"Bruksområder","HERO_TITLE":"AI Web Scraping uten kode","HERO_DESC":"Skrap tusenvis av nettsteder med en enkel prompt. Datablists AI Agent forstår behovene dine, navigerer på sider og henter ut strukturert data—uten kode.","PROBLEM_TITLE":"Tradisjonell web scraping fungerer ikke","PROBLEM_BODY":"Web scrapers som baserer seg på CSS-selektorer er skjøre og krever kontinuerlig vedlikehold. En liten endring i et nettsteds layout kan ødelegge hele workflowen din. Datablists AI Agent løser dette ved å forstå innhold som et menneske, noe som gjør den robust mot oppdateringer på nettsteder.","PROMPT_TITLE":"Fra enkle prompts til strukturert data","PROMPT_CONTENT_1":"Glem kompliserte konfigurasjoner. Bare fortell AI Agent hva du trenger på enkelt engelsk. Vil du finne navnet på CEO fra en 'Om oss'-side? Be om det. Trenger du å hente ut produktpriser fra en kategoriside? Bare beskriv hva du ser etter.","PROMPT_CONTENT_2":"Agenten tolker instruksjonene dine, surfer på nettet og leverer ren, strukturert data rett inn i regnearket ditt.","SCALE_TITLE":"Bygget for skala, priset for alle","SCALE_CONTENT_1":"Enten du trenger å skrape ti nettsteder eller ti tusen, er vår AI Agent klar. Den håndterer tekniske detaljer som paginering og proxy-håndtering automatisk, slik at du kan fokusere på dataene, ikke prosessen.","SCALE_CONTENT_2":"Vårt kredittbaserte system er kostnadseffektivt, slik at du kan kjøre store scraping-oppgaver uten å sprenge budsjettet. Få dataene du trenger, når du trenger dem.","ROBUST_TITLE":"Tilpasser seg ethvert nettsted, enhver endring","ROBUST_CONTENT_1":"Det moderne nettet er dynamisk og i stadig endring. Vår AI Agent er bygget for robusthet. Fordi den forstår konteksten og meningen i dataene, er den ikke avhengig av en rigid nettsidestruktur.","ROBUST_CONTENT_2":"Det betyr mer pålitelig datauthenting og mindre tid brukt på å fikse ødelagte skrapere. La AI håndtere nettets kompleksitet for deg.","USECASES_TITLE":"Lås opp en verden av data med AI Scraping","USECASES_LEADGEN_TITLE":"Gi lead generation et kraftig løft","USECASES_LEADGEN_CONTENT_1":"Gå utover grunnleggende firmographics. Bruk AI Agent til å skrape bedriftsnettsteder for casestudier, brukte teknologier eller siste nytt.","USECASES_LEADGEN_CONTENT_2":"Disse rike, kontekstuelle dataene er perfekt drivstoff for høyt personaliserte og effektive outreach-kampanjer.","USECASES_MARKET_TITLE":"Automatiser markeds- og konkurrentanalyse","USECASES_MARKET_CONTENT_1":"Slutt å kaste bort timer på manuell research. Overvåk konkurrenters nettsteder automatisk for produktoppdateringer, prisendringer eller nye stillingsannonser.","USECASES_MARKET_CONTENT_2":"Samle kundeomtaler fra nettsteder som Trustpilot eller Trusted Shops for å analysere sentiment og identifisere markedstrender.","USECASES_ECOMMERCE_TITLE":"E-commerce og produktovervåking","USECASES_ECOMMERCE_CONTENT_1":"Skrap produktlister fra hvilket som helst e-commerce-nettsted uten anstrengelse. Hent ut navn, priser, SKU-er, beskrivelser og kundeomtaler.","USECASES_ECOMMERCE_CONTENT_2":"Hold øye med konkurrentenes lager, overvåk pristrategier, eller aggreger produktdata for din egen plattform.","BENEFITS_TITLE":"Kraftig scraping, gjort enkelt","BENEFITS_NOCODE_TITLE":"No-code-grensesnitt","BENEFITS_NOCODE_BODY":"Ingen programmeringskunnskaper nødvendig. Hvis du kan skrive en instruks, kan du skrape nettet. Vårt intuitive grensesnitt gjør datauthenting tilgjengelig for alle.","BENEFITS_FLEXIBLE_TITLE":"Fleksibel og konfigurerbar","BENEFITS_FLEXIBLE_BODY":"Skreddersy scraping-oppgavene til dine eksakte behov. Hent ut et enkelt datapunkt eller et helt datasett. AI Agenten tilpasser seg dine spesifikke krav.","BENEFITS_SCALABLE_TITLE":"Skalerbar og automatisert","BENEFITS_SCALABLE_BODY":"Fra små oppgaver til massive datainnsamlingsprosjekter skalerer vår AI Agent med deg. Planlegg tilbakevendende skrapinger for å holde dataene ferske og automatisk oppdatert.","BENEFITS_PRECISE_TITLE":"Presis og strukturert utdata","BENEFITS_PRECISE_BODY":"Få dataene du trenger i et rent, ryddig format. AI Agenten leverer strukturerte resultater direkte i et regneark, klare for analyse eller eksport.","SEE_ALSO":"Se også","VIDEO_TITLE":"Se AI Scraping i aksjon","VIDEO_TEXT":"Se hvordan du kan bygge en egendefinert lead scoring-modell på under ett minutt med en enkel prompt. Ingen formler, ingen stress."},"UseCaseDataCleaning":{"PAGE_TITLE":"Datavask, automatisert.","PAGE_DESC":"Datablist tilbyr en kraftig, brukervennlig verktøykasse for å fjerne duplikater, normalisere og berike dataene dine, og gjøre kaos til klarhet.","USE_CASE":"Bruksområder","HERO_TITLE":"Datavask, automatisert.","VIDEO_TITLE":"Det #1 No-Code-verktøyet for datavask","VIDEO_TEXT":"Ekstraher, konverter og rens data med bare noen få klikk. Ingen begrensninger og definitivt ingen flere formler.","HERO_DESC":"Slutt å kjempe med rotete regneark og rotete CRM-systemer. Datablist tilbyr en kraftig, brukervennlig verktøykasse for å fjerne duplikater, normalisere og berike dataene dine, og gjøre kaos til klarhet.","MASTER_TITLE":"Fra rotete data til handlingsrettede innsikter","MASTER_BODY":"Unøyaktige data koster tid og penger. Enten de stammer fra flere kilder til leads, skrapet webinnhold eller innspill fra ulike team, fører rotete data til mislykkede kampanjer og dårlige beslutninger. Datablist er ditt sentrale knutepunkt for å rydde, konsolidere og standardisere listene dine i stor skala, slik at dataene dine alltid er pålitelige og klare for handling.","DEDUPE_CRM_TITLE":"Fjern duplikater i CRM og lister – intelligent","DEDUPE_CRM_CONTENT_1":"CRM-et ditt er din sannhetskilde, men duplikater gjør det upålitelig. 'John Smith' og 'Jon Smith' hos 'Example Inc.' vs 'Example LLC' skaper forvirring. Datablist går lenger enn enkel matching.","DEDUPE_CRM_CONTENT_2":"Våre avanserte algoritmer (fuzzy, fonetisk og smart matching) finner og slår sammen lignende personer og selskaper, og konsoliderer informasjonen deres uten å miste kritiske data. Rydd opp i Pipedrive, HubSpot eller hvilken som helst CRM-eksport på få minutter.","MERGE_TITLE":"Konsolider data på tvers av flere filer","MERGE_CONTENT_1":"Du har leads i tre ulike regneark og kundedata i et annet. Hvordan kombinerer du dem uten å skape flere duplikater? Manuell sammenslåing av filer er treg og feilutsatt.","MERGE_CONTENT_2":"Datablist gjør det enkelt. Importer alle listene dine, definer en unik identifikator som en email eller et nettsted, og la verktøyene våre slå sammen postene. Vi kombinerer data fra flere kilder til én ren masterliste.","NORMALIZE_TITLE":"Standardiser og normaliser data med ett klikk","NORMALIZE_CONTENT_1":"Inkonsekvente data er ubrukelige data. Telefonnumre i ulike formater, stillingstitler med blandet bruk av store og små bokstaver og rotete URL-er hindrer effektiv filtrering og automatisering. Å rette dette manuelt, rad for rad, er en tidkrevende oppgave.","NORMALIZE_CONTENT_2":"Bruk Datablists verktøy for masseredigering til å rette datatyper, standardisere store/små bokstaver i tekst, fjerne ekstra mellomrom og normalisere telefonnumre og URL-er på tvers av tusenvis av poster umiddelbart. Definer en standard og bruk den på hele datasettet ditt.","CLEANING_GRID_TITLE":"Din komplette verktøykasse for datavask","CLEANING_GRID_DESC":"Alt du trenger for å gjøre rå, rotete data om til en verdifull, organisert ressurs.","GRID_DEDUPE_TITLE":"Avansert deduplisering","GRID_DEDUPE_BODY":"Finn og slå sammen lignende poster med smarte, fuzzy og fonetiske matching-algoritmer som enkle regneark ikke takler.","GRID_MERGE_TITLE":"Slå sammen og konsolider lister","GRID_MERGE_BODY":"Kombiner flere CSV- eller Excel-filer til én masterliste ved å bruke en unik nøkkel for å oppdatere og konsolidere poster.","GRID_FIX_TITLE":"Korriger datatyper","GRID_FIX_BODY":"Konverter enkelt tekstfelt til strukturerte data som datoer, tall eller avkrysningsbokser for nøyaktig sortering og filtrering.","GRID_AI_TITLE":"AI-drevet datavask","GRID_AI_BODY":"Bruk vårt AI-redigeringsverktøy til å generere tilpassede skript fra enkle tekst-prompts. Håndter komplekse datavaskoppgaver uten å skrive kode.","GRID_ENRICH_TITLE":"Berik og fyll mangler","GRID_ENRICH_BODY":"Fullfør postene dine ved å berike dem med manglende data. Finn bedriftsdomener, valider email-adresser og hent profilinformasjon.","GRID_CONSOLIDATE_TITLE":"Konsolider verdier","GRID_CONSOLIDATE_BODY":"Slå sammen motstridende data fra duplikater. Kombiner flere telefonnumre eller notater til én ren post uten å miste informasjon.","LEARN_MORE":"Les mer","SEE_ALSO":"Se også"},"UseCaseInventoryManagement":{"PAGE_TITLE":"Automatiser lagerstyring for e-handel","PAGE_DESC":"Slutt å sløse bort timer på manuelle oppdateringer. Hent, rens, oversett og synkroniser leverandørkataloger til alle salgskanaler automatisk med vår kraftige no-code-plattform.","USE_CASE":"Bruksområder","HERO_TITLE":"Automatiser lagerstyring for e-handel","HERO_DESC":"Slutt å sløse bort timer på manuelle oppdateringer. Hent, rens, oversett og synkroniser leverandørkataloger til alle salgskanaler automatisk med vår kraftige no-code-plattform.","INTRO_TITLE":"Fra rotete kataloger til perfekte produktlister","INTRO_BODY":"Å håndtere produktdata fra flere leverandører er et mareritt av ulike formater, dupliserte oppføringer og endeløse manuelle korrigeringer. Datablist gjør dette kaoset om til en strømlinjeformet, automatisert workflow, og sørger for at lageret ditt alltid er nøyaktig, oppdatert og perfekt formatert for enhver markedsplass.","VIDEO_TITLE":"Se AI-redigering i praksis","VIDEO_TEXT":"Se hvordan du oppdaterer enheter i katalogen med en enkel prompt. Ingen formler, ingen styr.","FETCH_TITLE":"Hent leverandørkataloger automatisk","FETCH_CONTENT_1":"Glem manuelle nedlastinger og rotete e-postvedlegg. Sett opp automatiske importer for å hente katalogfiler fra hvilken som helst kilde—enten det er en URL, en FTP-server eller et API. Planlegg oppdateringer daglig, ukentlig eller månedlig for å sikre at dataene dine alltid er oppdatert.","FETCH_CONTENT_2":"Våre smarte web scrapers kan til og med hente ut produktdata direkte fra leverandørenes nettsider, og gir deg en jevn strøm av oppdatert informasjon uten at du trenger å løfte en finger.","TRANSFORM_TITLE":"Transformer og standardiser data med AI","TRANSFORM_CONTENT_1":"Leverandørdata er sjelden klare for nettbutikken din. Bruk vår pakke med no-code-verktøy for datarensing til å standardisere kategorier, fjerne juridiske endelser fra merkenavn, formatere priser og slå sammen duplikater.","TRANSFORM_CONTENT_2":"Gå lenger med AI-drevne transformasjoner. Generer engasjerende produktbeskrivelser automatisk, oversett innhold for internasjonale markeder, og sørg for at hver oppføring er optimalisert for konvertering.","SYNC_TITLE":"Synkroniser til enhver e-handelsplattform eller markedsplass","SYNC_CONTENT_1":"Når dataene dine er rene og standardiserte, kan du sende dem dit du selger. Datablist forbereder sømløst katalogen din for enhver destinasjon, inkludert Shopify, WooCommerce, Amazon og mer.","SYNC_CONTENT_2":"Systemet vårt gir tydelige statusoppdateringer for hver synkronisering, med automatisk retry for mislykkede forsøk. Administrer hele din multikanalvirksomhet fra én pålitelig sannhetskilde.","BENEFITS_TITLE":"Kraften i en automatisert lager-workflow","BENEFITS_SCALE_TITLE":"Håndter enorme kataloger","BENEFITS_SCALE_BODY":"Håndter produktlister med hundretusener eller til og med millioner av produkter uten anstrengelse. Plattformen vår er bygget for ytelse og skalerbarhet.","BENEFITS_FLEXIBLE_TITLE":"Fleksibel og enkel å konfigurere","BENEFITS_FLEXIBLE_BODY":"Vårt intuitive no-code-grensesnitt lar deg bygge komplekse workflows for datatransformasjon på minutter, ikke uker. Ingen utviklere nødvendig.","BENEFITS_RELIABLE_TITLE":"Pålitelig og automatisert","BENEFITS_RELIABLE_BODY":"Sett opp workflows én gang og la dem kjøre. Med tydelig statussporing og synkroniseringer med automatisk retry kan du stole på at dataene dine alltid er der de skal være.","BENEFITS_COST_TITLE":"Kostnadseffektiv kraft","BENEFITS_COST_BODY":"Utnytt vårt kredittbaserte system slik at du bare betaler for det du bruker. Få automatisering på enterprise-nivå til en brøkdel av kostnaden sammenlignet med tradisjonelle løsninger.","TRANSLATE_TITLE":"Oversett produktkataloger for globale markeder","TRANSLATE_CONTENT_1":"Utvid e-handelsrekkevidden til internasjonale markeder ved å oversette produktkatalogene dine automatisk med Datablists AI. Gå lenger enn enkel oversettelse ved å lokalisere produktnavn slik at de samsvarer med hvordan lokale kunder faktisk søker.","TRANSLATE_CONTENT_2":"AI-en vår bevarer kritiske HTML- og JSON-strukturer i beskrivelser og spesifikasjoner, og forhindrer tekniske feil når du laster opp på nytt til plattformer som Shopify eller WooCommerce. Denne kraftige no-code-løsningen hjelper deg å skalere globalt til en brøkdel av kostnaden sammenlignet med tradisjonelle verktøy.","TRANSLATE_CTA":"Slik oversetter du en produktkatalog","FILTER_TITLE":"Gå i dybden på enhver katalog, uansett størrelse","FILTER_CONTENT_1":"Slutt å slite med regneark som krasjer under vekten av lageret ditt. Datablist er bygget for å håndtere enorme produktkataloger med opptil 1,5 millioner produkter, langt utover begrensningene til verktøy som Airtable eller Google Sheets.","FILTER_CONTENT_2":"Finn raskt akkurat det du trenger med kraftige filterverktøy. Gå lenger enn enkle søk ved å kombinere flere betingelser med AND/OR-logikk og filtergrupper for avanserte søk. For maksimal presisjon, bruk regulære uttrykk for å finne produkter basert på spesifikke mønstre i SKU-er, titler eller beskrivelser.","FILTER_CONTENT_3":"Ikke gjenta arbeidet ditt. Du kan lagre et hvilket som helst sett med komplekse filtre som et egendefinert \"Segment\" for rask tilgang senere. Disse lagrede filtrene er perfekte for å lage dynamiske lister som \"nye produkter\" eller \"kampanjevarer\", og deles automatisk med teamet ditt slik at alle jobber ut fra samme visning.","SEE_ALSO":"Se også"},"UseCaseLeadBuilding":{"PAGE_TITLE":"Lead-innsamling for vekstteam","PAGE_DESC":"Det beste verktøyet for å dykke ned i lead-lister med høyt volum. Organiser, berik og finn de perfekte prospektene.","HERO_TITLE":"Bygg lead-lister for vekstteam","USE_CASE":"Bruksområder","HERO_DESC":"Det beste verktøyet for å dykke ned i lead-lister med høyt volum. Organiser, berik og finn de perfekte prospektene.","MASTER_TITLE":"Håndter store mengder leads","MASTER_BODY":"Datablist er laget for å håndtere millioner av elementer. Definer datastrukturen for dine leads, og begynn å jobbe med dataene dine på en åpen og tech-vennlig plattform. Organiser leads med vårt regneark-lignende grensesnitt, eller bruk API-et vårt for å bygge komplekse dataplattformer. Fra lead-listen din med høyt volum kan du oppdage kvalitetsleads du kan kontakte.","CRM_TITLE":"Bygg lead-lister før de går inn i Sales CRM-en din","CRM_CONTENT_1":"CRM-verktøy er perfekte for å følge opp engasjerte prospekter. Men de egner seg ikke for hundretusener av leads. Vekstteamet ditt trenger et datalager oppstrøms for å samle og håndtere leads i høyt volum.","CRM_CONTENT_2":"Å lagre kalde leads i CRM-et er den beste måten å forurense det på – og få dyre fakturaer.","DATABASE_TITLE":"Slutt å lagre leads i en egendefinert database","DATABASE_CONTENT_1":"Lagrer du leads i en egendefinert database, Excel, Airtable eller et datalager? Å velge ett av dem betyr kompromisser. Fleksibilitet over skalerbarhet. Eller kompleksitet over enkelhet.","DATABASE_CONTENT_2":"Datablist kombinerer kraften i en egendefinert database med fleksibiliteten til Airtable. Spar tid og penger uten kompromisser.","NOCODE_TITLE":"Enkelt å bruke og tech-vennlig verktøy","NOCODE_CONTENT_1":"Håndter leads med et regneark-lignende grensesnitt. Kraftig filtrering og søk lar deg utforske hundretusener av leads på sekunder.","NOCODE_CONTENT_2":"Med Datablist har CSV-filer førsteklasses støtte. Importer store CSV-filer, og kombiner dem med unike identifikatorer for å bygge lead-lister. Dine data er dine data. Eksporter leads til en CSV-fil for bruk i andre verktøy med ett klikk.","NOCODE_CONTENT_3":"Vil du gå lenger? Automatiser dataflyten din med serverless-funksjoner koblet til vårt åpne API.","CENTRALIZE_TITLE":"Sentraliser alle lead-kildene dine i ett datalager","CENTRALIZE_SCRAPING_TITLE":"Din destinasjon for scraping","CENTRALIZE_SCRAPING_CONTENT_1":"Ekstraher data fra eksterne kilder og lagre dem i datalageret ditt.","CENTRALIZE_SCRAPING_CONTENT_2":"Scrape leads fra sosiale nettverk (LinkedIn, Facebook, Xing), bedriftskataloger (Crunchbase, AngelList), online communities, osv.","CENTRALIZE_NEWSLETTER_TITLE":"Nyhetsbrevabonnenter","CENTRALIZE_NEWSLETTER_CONTENT_1":"Spor og berik abonnentene på e-postlisten din for å finne prospekter med høy verdi.","CENTRALIZE_NEWSLETTER_CONTENT_2":"Bruk webhooks fra e-postlisten for å hente bruksdata og finne engasjerte leads.","CENTRALIZE_SIGNUP_TITLE":"Berik nye brukere","CENTRALIZE_SIGNUP_CONTENT_1":"Oppdag brukere med engangs- eller profesjonelle email-adresser. Berik nye brukere automatisk, finn LinkedIn-profilen deres og engasjer brukere med høyt potensial.","CENTRALIZE_SIGNUP_CONTENT_2":"Koble til produktbruksdata for å bygge en kundedataplattform (CDP).","CENTRALIZE_MAGNET_TITLE":"Lagre lead magnet-nedlastinger","CENTRALIZE_MAGNET_CONTENT_1":"Lagre alle nye leads fra whitepaper-nedlastinger, webinarer og fysiske arrangementer i én liste.","CENTRALIZE_MAGNET_CONTENT_2":"Berik manuelt eller med våre integrerte enrichment-API-er for å avdekke muligheter.","ENRICH_TITLE":"Rens og berik leadsene dine","ENRICH_COMPANIES_TITLE":"Berik selskaper og profiler","ENRICH_COMPANIES_BODY":"Få komplett profilinformasjon med integrerte enrichment-tjenester. Finn LinkedIn-kontoer fra email-adresser, eller email-adresser fra navnene til leadsene dine. Berik i stor skala fra hvilken som helst tjeneste, eller koble til dine egne.","CLEAN_TITLE":"Rens dataene dine","CLEAN_BODY":"Hold dataene dine oppdaterte med Datablists lese- og skrivbare datalager. Bruk våre Data Cleansing-funksjoner for å masse-rense leads. Valider email-adresser for å finne leverandører av engangs-email og utelukk dem fra kampanjene dine.","DEDUPLICATE_TITLE":"Fjern duplikater i leadsene dine","DEDUPLICATE_BODY":"Fjern dupliserte leads på et øyeblikk med Datablist Duplicates Finder. Velg én eller flere egenskaper for automatisk deduplisering. Slå sammen motstridende data med Datablist Merge Assistant.","MERGE_TITLE":"Lag unike lead-profiler","MERGE_BODY":"Definer unikhet på en leads email-adresse eller selskapets nettsted for å lage unike lead-profiler. Oppdater leaddata eller konsolider eksterne lister ved å bruke dine unike egenskaper.","SEE_ALSO":"Se også","DATA_SOURCES":"Data- og lead-kilder","DATA_SOURCES_DESCRIPTION":"Boost pipeline-en din med våre kraftige innebygde lead-kilder!","AI_RESEARCH_AGENT":"AI Research Agent","AI_RESEARCH_AGENT_DESCRIPTION":"Skaler research på elementene dine, eller sett opp automatiserte Google-søk, med én enkel prompt.","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESCRIPTION":"Lag kraftige workflows med våre brukervennlige enrichments"},"IndustryRecruiting":{"PAGE_TITLE":"Smartere rekruttering starter her","PAGE_DESC":"Den essensielle no-code-plattformen for rekrutteringsbyråer. Skrap stillingsannonser, berik selskapsdata og finn direkte kontaktinformasjon til ansettelsesansvarlige.","HERO_TITLE":"Smartere rekruttering starter her","INDUSTRY_LABEL":"Bransjer","HERO_DESC":"Den essensielle no-code-plattformen for rekrutteringsbyråer. Skrap stillingsannonser, berik selskapsdata og finn direkte kontaktinformasjon til ansettelsesansvarlige.","WHY_DATABLIST_TITLE":"Slutt å lete. Begynn å plassere kandidater.","WHY_DATABLIST_BODY":"Manuell sourcing er treg, repeterende og gir ujevne resultater. Datablist automatiserer de mest kjedelige delene av sourcing av nye kunder og kandidater, slik at du kan fokusere på det du er best på: bygge relasjoner og lande plasseringer.","FIND_JOBS_TITLE":"Avdekk alle rekrutteringsmuligheter","FIND_JOBS_CONTENT_1":"Gå aldri glipp av et lead. Bruk vår AI Scraper til å skrape stillingsannonser fra enhver jobbportal som LinkedIn, Indeed, eller fra en liste over karrieresider for målbedrifter.","FIND_JOBS_CONTENT_2":"Bygg enkelt en sanntidsdatabase over ledige stillinger som matcher dine nøkkelord og kompetanse, og få en jevn strøm av kvalifiserte kunde-leads.","FIND_CONTACTS_TITLE":"Finn de rette beslutningstakerne","FIND_CONTACTS_CONTENT_1":"En stillingsannonse er bare starten. Datablist beriker selskapsdata for å avdekke menneskene bak titlene. Identifiser avdelingsledere, teamledere og ansettelsesansvarlige i målbedriftene dine.","FIND_CONTACTS_CONTENT_2":"Segmenter listene dine etter stillingstittel, avdeling eller senioritet for å sikre at outreach alltid er rettet mot personen med beslutningsmyndighet.","GET_DETAILS_TITLE":"Ta kontakt direkte, med én gang","GET_DETAILS_CONTENT_1":"Slutt å kaste bort tid på å lete etter kontaktinformasjon. Vår kraftige Waterfall-beriking finner verifiserte, profesjonelle email-adresser og telefonnumre til målkontaktene dine.","GET_DETAILS_CONTENT_2":"Med høyere treffrate og en kostnadseffektiv, kredittbasert modell kan du bygge handlingsklare kontaktlister raskere og rimeligere enn noen gang før.","BENEFITS_TITLE":"En urettferdig fordel for byrået ditt","EASY_USE_TITLE":"Start på få minutter","EASY_USE_BODY":"Kom i gang umiddelbart med vårt intuitive, regnearklignende grensesnitt. Ingen tekniske ferdigheter kreves for å bygge kraftige sourcing-workflows.","FLEXIBLE_TITLE":"Din workflow, på din måte","FLEXIBLE_BODY":"Tilpass hvert steg, fra mål for scraping til berikingssekvenser. Datablist tilpasser seg din unike sourcing-strategi – ikke omvendt.","COST_EFFECTIVE_TITLE":"Betal etter forbruk","COST_EFFECTIVE_BODY":"Vårt kredittbaserte system betyr at du bare betaler for det du bruker. Perfekt for byråer i alle størrelser, fra solorekrutterere til store team.","ALL_IN_ONE_TITLE":"Alt på ett sted","ALL_IN_ONE_BODY":"Fra scraping og rensing til beriking og eksport. Administrer hele datapipelinen for kunder og kandidater uten å sjonglere flere verktøy.","SEE_ALSO":"Se også","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"Hent ut strukturert data fra hvilken som helst nettside med en enkel prompt. Perfekt for jobbportaler, bedriftssider og mer.","ENRICHMENTS":"Berikinger","ENRICHMENTS_DESCRIPTION":"Lag kraftige workflows med våre brukervennlige berikinger for selskaps- og kontaktdata.","FAQ_Q1":"Hvordan finner Datablist ledige stillinger?","FAQ_A1":"Vår Job Postings Scraper skanner over 19 store jobbportaler, inkludert Indeed og Glassdoor. Du kan også bruke vår AI Agent til automatisk å skrape spesifikke karrieresider hos selskaper eller enhver nisjejobbportal, noe som gir deg en jevn strøm av kundemuligheter.","FAQ_Q2":"Hvordan finner dere kontaktinformasjon til ansettelsesansvarlige?","FAQ_A2":"Når du har en liste over selskaper, finner Waterfall People Search-berikingen de riktige kontaktene i disse organisasjonene. Du kan søke etter stillingstittel, senioritet eller avdeling for å treffe beslutningstakere.","FAQ_Q3":"Er kontaktinformasjonen nøyaktig og verifisert?","FAQ_A3":"Ja. Waterfall Email Finder og Phone Finder forespør flere dataleverandører for å finne verifiserte profesjonelle email-adresser og direktenumre. Denne tilnærmingen med flere kilder gir høyere treffrate enn verktøy fra én enkelt leverandør.","FAQ_Q4":"Risikerer jeg LinkedIn-kontoen min ved å bruke skraperne deres?","FAQ_A4":"Nei. I motsetning til nettleserutvidelser kjører skraperne våre i skyen og krever ikke dine personlige LinkedIn-innloggingsdetaljer. Dette holder kontoen din 100 % trygg mot begrensninger eller utestengelser.","FAQ_Q5":"Hva koster det?","FAQ_A5":"Datablist bruker et fleksibelt, betal-etter-forbruk kredittsystem. Du betaler bare for dataene du får. For eksempel er et kredittpåfyll på 20 dollar nok til å skrape tusenvis av stillingsannonser. Denne modellen passer perfekt for byråer i alle størrelser og lar deg skalere sourcing uten en stor forhåndsinvestering.","FAQ_Q6":"Kan jeg målrette jobber i bestemte bransjer eller områder?","FAQ_A6":"Ja. Jobbskraperne våre har avanserte filtre som lar deg målrette stillingsannonser etter nøkkelord, bransje, selskapsstørrelse, sted og senioritetsnivå. Du kan til og med ekskludere rekrutteringsbyråer for å fokusere kun på direkte arbeidsgivere.","FAQ_Q7":"Jeg har rotete kandidatlister. Kan Datablist hjelpe med å rense dem?","FAQ_A7":"Absolutt. Datablist har kraftige verktøy for datarensing og deduplisering. Du kan enkelt slå sammen duplikatkontakter fra ulike kilder, standardisere stillingstitler og formatere dataene dine uten kompliserte formler.","FAQ_Q8":"Kan jeg automatisere sourcing-prosessen?","FAQ_A8":"Ja. Du kan planlegge jobbskraperne til å kjøre daglig, ukentlig eller månedlig. Datablist vil automatisk finne nye stillingsannonser som matcher kriteriene dine og gi deg en jevn kilde til friske leads."},"IndustryVentureCapital":{"PAGE_TITLE":"Operativsystemet for moderne VC-er","PAGE_DESC":"Finn, screene og spor tusenvis av startups med en AI-drevet dataplattform. Dropp rotete regneark og rigide CRM-er. Bygg din deal flow-motor med Datablist.","INDUSTRY_LABEL":"Bransjer","HERO_TITLE":"Operativsystemet for moderne VC-er","HERO_DESC":"Finn, screene og spor tusenvis av startups med en AI-drevet dataplattform. Dropp rotete regneark og rigide CRM-er. Bygg din deal flow-motor med Datablist.","WHY_DATABLIST_TITLE":"CRM-en din er ikke bygget for venturekapital","WHY_DATABLIST_BODY":"CRM-er er for salgspipelines, ikke deal flow. De er rigide, dyre og svikter når du skal spore tusenvis av selskaper i tidlig fase på radaren din. Datablist er en fleksibel, skalerbar datahub designet for å håndtere de unike datautfordringene i venturekapital.","SOURCE_DEALS_TITLE":"Finn deals før de blir allment kjent","SOURCE_DEALS_CONTENT_1":"Gå utover nettverket ditt og innkommende forespørsler. Bruk vår AI Scraper for å hente ut lovende startups fra plattformer som ProductHunt, IndieHackers og andre nisjekataloger.","SOURCE_DEALS_CONTENT_2":"Få et forsprang ved å identifisere selskaper med høyt potensial først og spore fremvoksende trender før de når mainstream.","TRACK_COMPANIES_TITLE":"Spor vekstsignaler, ikke bare finansieringsrunder","TRACK_COMPANIES_CONTENT_1":"Finansiering er en etterslepende indikator på suksess. Spor vekstsignaler i sanntid som faktisk betyr noe. Våre skrapere for stillingsportaler identifiserer hvilke startups som ansetter til nøkkelroller—et tydelig tegn på product-market fit og skalering.","TRACK_COMPANIES_CONTENT_2":"Overvåk ansettelsestrender for å vurdere et selskaps utvikling og ta datadrevne investeringsbeslutninger.","SCORE_STARTUPS_TITLE":"Bygg egendefinerte scoringsmodeller med AI","SCORE_STARTUPS_CONTENT_1":"Slutt å stole kun på magefølelsen. Bruk våre AI-redigeringsverktøy til å bygge kraftige, egendefinerte scoringsalgoritmer. Ranger startups basert på teamerfaring, tech stack, markedssignaler og dine egne unike kriterier.","SCORE_STARTUPS_CONTENT_2":"Identifiser systematisk og fokuser teamets energi på den øverste 1 % av mulighetene i pipeline-en din.","DILIGENCE_TITLE":"Alle verktøyene du trenger for due diligence og sporing","FEATURE_DATA_TITLE":"Datakonsolidering","FEATURE_DATA_BODY":"Rens, dedupliser og slå sammen data fra flere kilder til én masterliste. Hold startup-databasen din ren og pålitelig.","FEATURE_ENRICH_TITLE":"Selskapsberikelse","FEATURE_ENRICH_BODY":"Berik selskapsprofiler automatisk med firmografiske data, tech stacks, nettstedsdata og mer for en 360-graders oversikt.","FEATURE_CONTACTS_TITLE":"Outreach til gründere","FEATURE_CONTACTS_BODY":"Finn verifiserte email-adresser og telefonnumre til gründere og nøkkelledere med vår Waterfall Enrichment. La den første kontakten telle.","FEATURE_API_TITLE":"API og integrasjoner","FEATURE_API_BODY":"Koble Datablist til interne verktøy og automatiser hele data-workflowen med vårt fleksible, utviklervennlige API.","SEE_ALSO":"Se også","VIDEO_TITLE":"Se AI Agent i aksjon","VIDEO_TEXT":"Se hvordan AI Agent kan besøke en liste over startup-nettsteder og hente ut strukturert kontaktinformasjon. En oppgave som er umulig for tradisjonelle skrapere.","FAQ_Q1":"Hvordan skiller Datablist seg fra et tradisjonelt CRM?","FAQ_A1":"CRM-er er designet for lineære salgsprosesser og blir rotete når man sporer tusenvis av potensielle deals. Datablist er en fleksibel datahub bygget for skalaen og kompleksiteten i venturekapitalens deal flow, slik at du kan håndtere store mengder startup-data uten rigiditeten i en salgspipeline.","FAQ_Q2":"Kan Datablist hjelpe oss å finne nye startups?","FAQ_A2":"Ja. Du kan bruke vår AI Agent til å scrape startup-kataloger som ProductHunt eller IndieHackers for å finne lovende selskaper før de dukker opp på alles radar. Dette hjelper deg å oppdage deals med høyt potensial tidlig.","FAQ_Q3":"Hvilke typer vekstsignaler kan vi spore?","FAQ_A3":"I stedet for å kun stole på finansieringsannonser kan dere spore sanntidsindikatorer for vekst. Våre skrapere for stillingsportaler finner startups som aktivt ansetter til nøkkelroller, noe som er et sterkt signal om vekst og product-market fit.","FAQ_Q4":"Hvordan fungerer AI-scoringsmodellen?","FAQ_A4":"Du kan bygge egendefinerte scoringsmodeller med våre AI-verktøy. Du definerer kriteriene som betyr noe for din investeringshypotese—som teamerfaring, tech stack eller markedstrender—og AI genererer et skript som rangerer hver startup i pipelinen din, slik at du kan fokusere på de beste mulighetene.","FAQ_Q5":"Dataene våre er rotete og spredt over flere regneark. Hvordan kan dere hjelpe?","FAQ_A5":"Datablist er suveren på datakonsolidering. Du kan importere data fra flere kilder, og deretter bruke verktøyene våre til å rense, deduplisere og slå alt sammen til én pålitelig masterliste over startups.","FAQ_Q6":"Hvordan håndterer Datablist tusenvis av selskaper? Vil det være tregt?","FAQ_A6":"Datablist er bygget for store datasett og håndterer opptil 1,5 millioner poster per liste, langt over grensene i regneark eller verktøy som Airtable. Du kan filtrere, sortere og håndtere tusenvis av selskaper raskt uten ytelsesproblemer.","FAQ_Q7":"Kan dere hjelpe oss å finne kontaktinformasjon til gründere?","FAQ_A7":"Ja. Når du har identifisert en lovende startup, kan våre Waterfall Enrichment-verktøy finne verifiserte email-adresser og telefonnumre til gründere og nøkkelpersoner på teamet, slik at din første outreach blir mer effektiv.","FAQ_Q8":"Trenger jeg en utvikler for å bruke Datablist?","FAQ_A8":"Nei. Datablist er en no-code-plattform med et brukervennlig regnearkgrensesnitt. Du kan bygge komplekse data-workflows, fra sourcing til scoring, uten å skrive kode."},"IndustryRetailAndECommerce":{"PAGE_TITLE":"Effektiviser driften for detaljhandel og netthandel","PAGE_DESC":"Administrer produktkataloger, leverandør-feeds og kundedata enkelt. Datablist er den fleksible no-code-plattformen for bedrifter innen detaljhandel og netthandel.","HERO_TITLE":"Effektiviser driften for detaljhandel og netthandel","INDUSTRY":"Bransje","HERO_DESC":"Administrer produktkataloger, leverandør-feeds og kundedata enkelt. Datablist er den fleksible no-code-plattformen for bedrifter innen detaljhandel og netthandel.","MASTER_TITLE":"Ditt sentrale knutepunkt for netthandelsdata","MASTER_BODY":"Slutt å sjonglere flere regneark og komplekse databaser. Datablist gir deg én, brukervennlig plattform for å administrere alle netthandelsdataene dine. Vårt fleksible no-code-grensesnitt og kredittbasert prising gjør det til en kostnadseffektiv løsning for bedrifter i alle størrelser.","PRODUCT_CATALOG_TITLE":"Konsolider og rens produktkatalogen din","PRODUCT_CATALOG_CONTENT_1":"Importer produktdata fra hvilken som helst kilde og konsolider dem i én, ren katalog. Våre kraftige verktøy for datarensing hjelper deg å standardisere enheter, priser og til og med fjerne HTML fra beskrivelser.","PRODUCT_CATALOG_CONTENT_2":"Med Datablist kan du enkelt administrere tusenvis av produkter og sikre at dataene dine alltid er nøyaktige og oppdaterte.","SUPPLIER_FEEDS_TITLE":"Automatiser leverandør-feeds","SUPPLIER_FEEDS_CONTENT_1":"Hent automatisk leverandørenes pris- og lager-feeds for å holde lagerbeholdningen din synkronisert. Datablist kan koble til eksterne API-er, noe som gjør det enkelt å integrere med systemene til leverandørene dine.","SUPPLIER_FEEDS_CONTENT_2":"Spar tid og reduser feil ved å automatisere denne kritiske delen av driften.","FEATURES_TITLE":"Alt du trenger for å lykkes","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"Konsolider produktkataloger","CONSOLIDATE_PRODUCT_CATALOG_BODY":"Slå sammen produktdata fra flere leverandører og kilder til én masterkatalog.","CLEAN_DATA_TITLE":"Rens dataene dine","CLEAN_DATA_BODY":"Standardiser og rens produktinformasjon, inkludert enheter, priser og HTML, for et konsistent og profesjonelt uttrykk.","TRANSLATE_PRODUCT_TITLE":"Oversett produktinformasjon","TRANSLATE_PRODUCT_BODY":"Oversett enkelt produktnavn og beskrivelser for å nå et globalt publikum.","GENERATE_PRODUCT_TEXT_TITLE":"Generer produkttekster med AI","GENERATE_PRODUCT_TEXT_BODY":"Bruk AI til å generere overbevisende produktbeskrivelser og annet innhold, slik at du sparer tid og arbeid.","SYNC_TO_EXTERNAL_APIS_TITLE":"Synkroniser til eksterne API-er","SYNC_TO_EXTERNAL_APIS_BODY":"Integrer med andre verktøy og systemer ved å synkronisere dataene dine til eksterne API-er.","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"Hent leverandør-feeds","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"Oppdater produktinformasjonen automatisk ved å hente siste pris- og lager-feeds fra leverandørene dine.","AGGREGATE_ORDER_FEEDS_TITLE":"Samle ordre-feeds","AGGREGATE_ORDER_FEEDS_BODY":"Få full oversikt over salget ved å samle ordre-feeds fra alle kanalene dine.","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"Administrer kunde- og målgruppelister","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"Hold kunde- og målgruppelistene dine rene og organiserte for mer effektive markedsføringskampanjer.","FAQ_Q1":"Produktdataene mine er rotete og kommer fra flere leverandører i forskjellige formater. Hvordan kan Datablist hjelpe?","FAQ_A1":"Datablist er laget for å løse nettopp dette. Du kan importere produktdata fra flere CSV- eller Excel-filer til én masterkatalog. Vår Duplicates Finder hjelper deg deretter med å slå sammen dupliserte produktoppføringer, og du kan til og med summere numeriske verdier som lagerantall automatisk.","FAQ_Q2":"Kan Datablist oversette produktbeskrivelsene mine uten å ødelegge HTML- eller JSON-formatet?","FAQ_A2":"Ja. Vår AI-drevne oversetter, som bruker modeller som ChatGPT, håndterer komplekst innhold. Du kan gi egne instruksjoner for å sikre at den kun oversetter tekst, samtidig som alle HTML-tagger og JSON-strukturer bevares, noe som er perfekt for netthandelskataloger.","FAQ_Q3":"Regnearket mitt krasjer med vår store produktkatalog. Hvor mange produkter kan Datablist håndtere?","FAQ_A3":"Regneark sliter med store datasett, men Datablist er bygget for skala. Du kan enkelt administrere produktkataloger med opptil 1,5 millioner produkter per samling, langt utover begrensningene i verktøy som Airtable eller Google Sheets.","FAQ_Q4":"Hvordan importerer jeg katalogen min fra en plattform som Shopify eller WooCommerce?","FAQ_A4":"Netthandelsplattformer som Shopify og WooCommerce lar deg eksportere produktkatalogen som en CSV-fil. Du kan importere den CSV-filen direkte til Datablist for å begynne å rense, berike eller oversette dataene dine.","FAQ_Q5":"Kan jeg automatisere henting av pris- og lageroppdateringer fra leverandørene mine?","FAQ_A5":"Ja. Hvis leverandørene dine leverer data via et API, kan du bruke vår 'Import from a remote CSV or JSON file'-datakilde til å hente og oppdatere produktinformasjonen din automatisk. Dette holder lager og priser synkronisert uten manuelt arbeid.","FAQ_Q6":"Er Datablist et godt verktøy for netthandelsbyråer som håndterer flere kunders kataloger?","FAQ_A6":"Absolutt. Du kan opprette separate samlinger for hver kundes produktkatalog og organisere dem i mapper for enkel administrasjon. Dette gjør det til et sentralt og effektivt knutepunkt for all datarensing og -håndtering.","FAQ_Q7":"Hvordan kan jeg rydde opp i inkonsistente produktdata, som priser eller HTML i beskrivelser?","FAQ_A7":"Datablist tilbyr flere verktøy for datarensing som passer perfekt for produktkataloger. Du kan konvertere tekst med HTML-tagger til ren tekst, normalisere tall med ulike skilletegn, fjerne ekstra mellomrom og endre store/små bokstaver, slik at dataene dine blir konsistente.","FAQ_Q8":"Kan AI hjelpe meg med å skrive unike produktbeskrivelser?","FAQ_A8":"Ja. Du kan bruke vår 'Ask ChatGPT'-berikelse til å generere overbevisende produktbeskrivelser basert på produktegenskapene dine. Dette sparer tid og hjelper deg å lage unikt innhold i stor skala."},"IndustrySaaSAI":{"PAGE_TITLE":"GTM Co-pilot for SaaS- og AI-startups","PAGE_DESC":"Slutt å sjonglere rotete regneark og dyre verktøy. Datablist er din alt-i-ett-plattform for å finne, rense og berike leads, slik at du kan fokusere på å lukke avtaler.","HERO_TITLE":"GTM Co-pilot for SaaS- og AI-startups","INDUSTRY_LABEL":"Bransjer","HERO_DESC":"Slutt å sjonglere rotete regneark og dyre verktøy. Datablist er din alt-i-ett-plattform for å finne, rense og berike leads, slik at du kan fokusere på å lukke avtaler.","MASTER_TITLE":"Bygg salgsmotoren din raskere","MASTER_BODY":"Som startup er fart alt. Du trenger en jevn strøm av kvalifiserte leads, men å bygge en salgspipeline tar tid. Datablist effektiviserer hele prosessen – fra å finne prospekter til å personalisere outreach – alt i én brukervennlig no-code-plattform.","PROBLEM_TITLE":"Leadgenereringen din er ødelagt – ikke produktet ditt","PROBLEM_CONTENT_1":"Du scraper data, kjøper lister og eksporterer fra CRM-et ditt, men ender opp med kaos. Regneark krasjer, data blir utdaterte, og teamet ditt sløser timer på manuell inntasting i stedet for salg.","PROBLEM_CONTENT_2":"Skreddersydde databaser er et ressurssluk, og flere abonnementer på ulike verktøy blir fort dyrt. Denne ineffektiviteten koster dere avtaler.","SOLUTION_TITLE":"Én plattform for å bygge, rense og berike","SOLUTION_CONTENT_1":"Datablist kombinerer kraften i en database med enkelheten til et regneark. Det er et fleksibelt no-code-verktøy laget for GTM-team i hurtigvoksende startups.","SOLUTION_CONTENT_2":"Samle alle lead-kildene dine, rydd opp i rotete data, berik kontakter med fersk informasjon, og automatiser workflows uten å skrive en eneste kodelinje. Det er den fleksible, kostnadseffektive løsningen du trenger for å skalere.","FEATURES_TITLE":"Alt du trenger for å drive veksten","GRID_SOURCE_TITLE":"Finn leads med høy kjøpsintensjon","GRID_SOURCE_BODY":"Gå utover statiske databaser. Bruk vår Job Board Scraper for å finne selskaper som aktivt ansetter – et tydelig signal om at de har budsjett og et problem å løse. Få ferske leads daglig.","GRID_SCRAPE_TITLE":"AI-drevet scraping","GRID_SCRAPE_BODY":"Bygg unike lead-lister som konkurrentene dine ikke kan kjøpe. Vår AI Agent skraper hvilken som helst nettside for å finne nisjedata, kundecase eller spesifikke teknologier et selskap bruker.","GRID_PERSONALIZE_TITLE":"Personaliser outreach i stor skala","GRID_PERSONALIZE_BODY":"Slutt å sende generiske emails. Bruk AI Agent til å hente unike innsikter for hvert prospekt. Finn talking points som viser at du har gjort hjemmeleksen din, og få flere svar.","GRID_DEDUPE_TITLE":"Fjern duplikater og slå sammen","GRID_DEDUPE_BODY":"Rydd opp i lead- og kundelister med vår kraftige Duplicates Finder. Slå sammen dupliserte poster fra flere kilder uten å miste verdifulle data, og sikre én sannhetskilde.","GRID_CLEAN_TITLE":"Rens og berik CRM-et ditt","GRID_CLEAN_BODY":"Hold CRM-dataene dine nøyaktige og oppdaterte. Valider emails, standardiser selskapsnavn, og berik poster med ferske data fra LinkedIn og andre leverandører for å forbedre kampanjeytelse.","GRID_AUTOMATE_TITLE":"Automatiser workflows","GRID_AUTOMATE_BODY":"Sett opp tilbakevendende oppgaver for en jevn strøm av nye, berikede leads. Planlegg scrapers og enrichments til å kjøre daglig eller ukentlig, slik at salgsteamet ditt alltid har en full pipeline.","WORKFLOW_TITLE":"En dokumentert workflow for leads av høy kvalitet","WORKFLOW_STEP1_TITLE":"1. Finn selskaper med kjøpsintensjon","WORKFLOW_STEP1_CONTENT_1":"Start med å finne selskaper med et tydelig behov. Bruk vår Job Postings Scraper for å identifisere virksomheter som aktivt ansetter for roller produktet eller tjenesten din støtter.","WORKFLOW_STEP1_CONTENT_2":"Dette er et av de sterkeste signalene på at de har budsjett og et akutt problem å løse.","WORKFLOW_STEP2_TITLE":"2. Finn beslutningstakere og kontaktinfo","WORKFLOW_STEP2_CONTENT_1":"Når du har målbedriftene dine, bruk vår Waterfall People Search for å finne de riktige kontaktene i disse selskapene – som Head of Sales eller en Marketing Director.","WORKFLOW_STEP2_CONTENT_2":"Bruk deretter våre email finder- og phone finder-verktøy for å få verifisert kontaktinformasjon.","WORKFLOW_STEP3_TITLE":"3. Samle innsikt for personalisering","WORKFLOW_STEP3_CONTENT_1":"Det er her du får et urettferdig fortrinn. Bruk AI Agent til å undersøke hvert prospekt. Be den finne deres siste blogginnlegg, caser eller til og med hvilke SaaS-verktøy de bruker.","WORKFLOW_STEP3_CONTENT_2":"Du får unik innsikt for å lage outreach-meldinger som skiller seg ut og får svar.","WORKFLOW_STEP4_TITLE":"4. Rens og ferdigstill listen din","WORKFLOW_STEP4_CONTENT_1":"Før du starter outreach, kjør den endelige listen gjennom vår Duplicates Finder. Den slår sammen eventuelle dupliserte kontakter eller selskaper og sikrer en ren, organisert liste.","WORKFLOW_STEP4_CONTENT_2":"Nå er listen klar til å synkroniseres med salgs-CRM-et ditt eller en email sequencer.","SEE_ALSO":"Se også","FAQ_Q1":"Hvordan skiller Datablist seg fra en standard B2B-database som ZoomInfo eller Apollo?","FAQ_A1":"Mens B2B-databaser leverer statiske, forhåndsinnsamlede data, gjør Datablist det mulig å bygge ferske, proprietære lead-lister fra levende kilder. Du kan bruke våre Job Scrapers for å finne selskaper med aktiv ansettelsesintensjon – et sterkt kjøpssignal. Vår AI Agent kan også utføre tilpasset web scraping for å samle nisjedata som ingen database tilbyr, og gir deg en unik konkurransefordel.","FAQ_Q2":"Startuppen min trenger leads av høy kvalitet – raskt. Hvordan kan Datablist hjelpe?","FAQ_A2":"Datablist er bygget for fart. Du kan starte med å finne selskaper med umiddelbare behov ved å bruke vår Job Postings Scraper, som samler data fra over 19 jobbportaler. Deretter bruker du våre Waterfall enrichment-verktøy for raskt å finne beslutningstakere og deres verifiserte kontaktinformasjon. Hele workflowen – fra å finne accounts til å ha en outreach-klar liste – kan gjøres på minutter.","FAQ_Q3":"Trenger jeg en utvikler eller tekniske ferdigheter for å bruke Datablist?","FAQ_A3":"Nei, Datablist er en no-code-plattform. Den kombinerer et brukervennlig regneark-grensesnitt med kraftig AI og automasjonsverktøy. Du kan utføre komplekse oppgaver som web scraping, datarensing og berikelse med enkle, naturlige språk-prompts og et pek-og-klikk-grensesnitt. Den er bygget for GTM-team, ikke utviklere.","FAQ_Q4":"Hvordan hjelper Datablist salgsteamet mitt med email-personalisering?","FAQ_A4":"Generisk outreach fungerer ikke. Datablists AI Agent fungerer som en research-assistent for salgsteamet ditt. Du kan instruere den til å besøke hvert prospekts nettsted og finne unike talking points, som nylige caser, spesifikke teknologier de bruker eller selskapsnyheter. Dette lar deg lage høyt personaliserte meldinger i skala og øker svarraten betydelig.","FAQ_Q5":"Vi har rotete lead-lister fra flere kilder. Hvordan håndterer Datablist rensing og deduplisering?","FAQ_A5":"Datablist er svært god på datahygiene. Vår Duplicates Finder bruker avanserte algoritmer, inkludert fuzzy matching, for å identifisere like poster på tvers av flere filer – selv med små variasjoner i navn eller detaljer. Du kan deretter automatisk slå sammen duplikater, kombinere motstridende informasjon (som flere telefonnumre) uten å miste data, og standardisere felt for å skape én, ren sannhetskilde.","FAQ_Q6":"Kan jeg automatisere leadgenerering for å få en kontinuerlig strøm av prospekter?","FAQ_A6":"Ja. Datablist er bygget for automasjon. Du kan planlegge datakildene dine, som Job Postings Scraper, til å kjøre daglig eller ukentlig. Dette sikrer at teamet ditt alltid har en fersk liste over selskaper med høy kjøpsintensjon å målrette, og skaper en konsistent og forutsigbar salgspipeline med minimalt manuelt arbeid.","FAQ_Q7":"Er prismodellen kostnadseffektiv for en startup?","FAQ_A7":"Absolutt. Datablist bruker et kredittbasert system for enrichments, så du betaler kun for det du bruker – ideelt for startups som må holde budsjett. Mange funksjoner, som Free Email Validator, er ubegrensede, og våre betalte planer er laget for å være langt rimeligere enn å abonnere på flere separate verktøy for scraping, rensing og berikelse.","FAQ_Q8":"Hvordan integrerer Datablist med vårt eksisterende CRM og salgsverktøy?","FAQ_A8":"Datablist er laget for å passe inn i din eksisterende workflow. Vi tilbyr en direkte integrasjon med Pipedrive for sømløs datasynkronisering. For andre CRM-er som HubSpot eller Salesforce kan du enkelt eksportere rensede og berikede lister som CSV- eller Excel-filer for rask import. Du kan også koble Datablist til tusenvis av apper via verktøy som Zapier."},"Alternatives":{"HERO_DESC":"Datablist er et verktøy for Lead Management og et godt alternativ til {toolName}. Datablist er det perfekte verktøyet for å bygge skreddersydde lead generation workflows. Sammenlign Datablist og {toolName} og se hvilket verktøy som passer best for deg.","WHAT_IS_TITLE":"Hva er {toolName}?","WHAT_IS_DESC":"{toolName} er et SaaS-verktøy som hjelper salgsteam med å kjøre outreach-kampanjer. Det integrerer flere data enrichment-tjenester og automatiserer utarbeidelsen av personlige outreach-meldinger med AI. Deretter kobler {toolName} seg til CRM-er og outreach-verktøy for å sende kampanjene.","COMPARISON_TITLE":"Hvor er Datablist bedre?","COMPARISON_CONTENT_1":"Datablist og {toolName} er to verktøy for å administrere lister over leads.","COMPARISON_CONTENT_2":"Datablist fokuserer på data cleaning, deduplisering av leads og skreddersydde workflows med vår REST API. Datablist er rask og kan håndtere flere hundre tusen leads uten problemer.","COMPARISON_CONTENT_3":"Clay fokuserer på sourcing av leads og waterfall enrichment.","COMPARISON_CONTENT_4":"Hvis du vil bygge en sentralisert database over leads med avansert deduplisering og kraftig data cleaning for å sikre datakvalitet, er Datablist for deg.","BENEFITS_TITLE":"Hvorfor bytter team fra {toolName} til Datablist?","COST_EFFECTIVE_TITLE":"Datablist er et rimeligere alternativ til {toolName}","COST_EFFECTIVE_DESC":"Clay har en begrenset gratisplan. Clay Starter-planen starter på $149/måned med kun 2 000 credits. Datablist har et rimeligere månedsabonnement og billigere credit-pakker. Jo mer du bruker verktøyet til scraping, cleaning og enrichment av leads, desto mer sparer du med Datablist.","CLEANING_TITLE":"Avanserte verktøy for cleaning og deduplisering","CLEANING_DESC":"Datablist tilbyr avanserte data-cleaning-verktøy. Fra konvertering av datatyper til normalisering av data, overgår Datablist regnearkverktøy for data cleaning i stor skala. Lead Deduplication er en innebygd funksjon i Datablist. Fuzzy matching og avansert sammenslåing av duplikater hindrer at du beriker det samme leadet to ganger.","API_TITLE":"Utvidbart via API","API_DESC":"Datablist-datalageret er fullt tilgjengelig via API. Opprett collections, properties og items med vår RESTful API. Bruker du Make.com eller Zapier? Koble dem til Datablist med API-et for å bygge kraftige outreach workflows.","SCALE_TITLE":"Håndter større lister","SCALE_DESC":"Datablist håndterer opptil 100 000 items med cloud sync og opptil 2 millioner items for datamanipulasjon, transformasjon og cleaning. Skaler lead management uten ytelsesproblemer.","SUPERIOR_TITLE":"Datablist: Et bedre alternativ for Lead Generation","SUPERIOR_INTRO":"Hos Datablist forstår vi utfordringene brukere møter med andre lead generation-verktøy som Clay. Derfor har vi designet plattformen vår til å være brukervennlig, rask og lett å integrere i dine eksisterende workflows. Vårt intuitive grensesnitt sørger for en smidig oppsettprosess med minimal læringskurve, slik at du kan begynne å generere leads raskt uten bry.","ACCURATE_DATA_TITLE":"Nøyaktige og pålitelige data","ACCURATE_DATA_DESC":"Vi prioriterer datanøyaktighet og sørger for at du får oppdatert og korrekt kontaktinformasjon. Dette gir mer effektive outreach-kampanjer og bedre konverteringsrater. Si farvel til inkonsistenser og problemer med utdaterte data slik du ofte opplever på andre plattformer.","AFFORDABLE_PRICING_TITLE":"Rimelige priser","AFFORDABLE_PRICING_DESC":"Datablist tilbyr konkurransedyktige og transparente priser som passer virksomheter i alle størrelser. Vår kostnadseffektive modell sikrer at du får best mulig verdi uten uventede utgifter. I motsetning til andre verktøy trenger du ikke å bekymre deg for at kostnadene øker raskt.","RESPONSIVE_SUPPORT_TITLE":"Responsiv kundestøtte","RESPONSIVE_SUPPORT_DESC":"Vårt dedikerte supportteam er alltid klart til å hjelpe deg raskt og sørger for at eventuelle problemer blir løst effektivt. Vi er stolte av raske responstider og ekspertstøtte, slik at du kan fokusere på det som betyr mest – å utvikle virksomheten din.","SUPERIOR_CONCLUSION":"Velg Datablist for en sømløs, pålitelig og rimelig lead generation-opplevelse.","SEE_ALSO":"Se også","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESC":"Oppdag våre data enrichment-tjenester for å forbedre lead-data med selskapsinformasjon, kontaktinformasjon og mer.","DATA_SOURCES":"Datakilder","DATA_SOURCES_DESC":"Utforsk alle tilgjengelige datakilder for å importere og scrape data fra ulike plattformer og nettsteder.","API_DOCS":"API-dokumentasjon","API_DOCS_DESC":"Lær hvordan du integrerer Datablist med dine eksisterende workflows ved hjelp av vårt omfattende REST API.","LEAD_BUILDING":"Bygging av lead-lister","LEAD_BUILDING_DESC":"Bli ekspert på å bygge lead-lister av høy kvalitet med vår omfattende guide og våre verktøy."},"AIPrompts":{"metadata":{"title":"AI Prompts","description":"Bruk våre AI prompts for å forbedre leadgenerering, data-beriking og datarensing. Disse prompts hjelper deg å finne leads av høy kvalitet og holde dataene dine nøyaktige. Bruk AI til å identifisere potensielle kunder og oppdatere lead-informasjon. Perfekt for virksomheter som vil skalere med AI-drevne verktøy som optimaliserer lead management."},"breadcrumb":{"home":"Hjem","aiPrompts":"AI Prompts"},"header":{"category":"AI-verktøy for forretningsvekst","title":"Topp AI Prompts for leadgenerering, data-beriking & datarensing","description":"Automatiser funn av leads, beriking og datarensing. Disse AI prompts skalerer dine GTM workflows."},"enrichment":{"title":"AI Agent Prompts (beriking)","description":"Bruk disse prompts for å berike eksisterende elementer. Kjør disse AI prompts på dine nåværende oppføringer for å finne manglende detaljer, gjøre research eller analysere informasjon for hver rad."},"dataSource":{"title":"Source AI Agent Prompts (datakilde)","description":"Disse prompts oppretter nye elementer. Bruk dem til å skrape nettsteder for strukturert informasjon, finne kontakter som matcher spesifikke kriterier, eller bygge målrettede lister fra bunnen av med AI. Start med en URL, en instruksjon eller input fra en annen collection for å generere ferske data."},"cta":"Se prompt","detail":{"metadataTitle":"ChatGPT-prompt for: {title}","metadataNotFound":"AI Prompt ikke funnet","pageTitle":"ChatGPT-prompt for: {title}","pageTitleDataSource":"AI Agent-prompt: {title}","breadcrumbHome":"Hjem","breadcrumbEnrichments":"Enrichments Store","breadcrumbAIPrompts":"AI Prompts","copiedText":"Prompt kopiert","copyText":"Kopier prompt til utklippstavlen","relatedPrompts":"Relaterte prompts"},"enrichmentContent":{"howToTitle":"Hvordan bruke denne prompten på en CSV-fil?","howToIntro":"**Datablist lar deg ta en hel CSV-fil og kjøre prompts direkte på hver linje.**","howToTemplates":"Den gode nyheten er at prompten du trenger allerede er tilgjengelig i Datablist under \"Templates\"-seksjonen. Du trenger ikke starte fra scratch! Velg bare den template som passer oppgaven din, så er den klar til å kjøres på hver linje i CSV-en din. Dette gjør det enda enklere å transformere dataene dine med bare noen få klikk.","openDatablist":"Åpne Datablist","noSignup":"Ingen registrering kreves","step1":"Importer CSV-filen din i Datablist. Velg deretter \"Enrich\" fra toppmenyen.","step2":"Velg malen: **{title}**","step2Image":"Velg Template","step3":"Erstatt variablene i prompten med egenskapene i samlingen din ved å bruke `/` eller '{{'.","step3Image":"Definer variabler ved å bruke egenskapene i samlingen din","step4":"Hvis du ikke har alle variablene, bare rediger prompten.","step5":"**Det var alt!** Du kan nå kjøre prompten på hver linje i CSV-filen din og få resultatene i en ny kolonne. 🚀","costTitle":"Hva koster det?","costIntro":"Du har to alternativer. Begge er superenkle.","option1Title":"Alternativ 1 – Bruk din egen OpenAI API-nøkkel.","option1Desc1":"Helt gratis hos oss. Bare plugg inn nøkkelen din, så sender Datablist forespørsler gjennom kontoen din. Du betaler OpenAI direkte, basert på deres brukssatser. Ingen mellomledd. Ingen ekstra gebyrer.","option1Desc2":"Med din API-nøkkel kan du for 1 000 elementer betale rundt **$2** til OpenAI.","option1Desc3":"Dette er perfekt hvis du allerede har en OpenAI-nøkkel eller vil ha full kontroll over kostnadene.\n**Bonus:** ingen rate limits fra oss!","option2Title":"Alternativ 2 – Bruk Datablist Credits.","option2Desc1":"Ingen API-nøkkel? Ikke noe problem. Du kan bruke Datablist sin innebygde ChatGPT-konto. Vi håndterer API-biten for deg. Du betaler bare med Datablist credits.","option2List1":"Oppsett av API-nøkkel – hoppes over","option2List2":"ChatGPT rate limits – unngås","option2List3":"Kontorestriksjoner – ikke ditt problem","option2Desc2":"Det bare fungerer.","tldr":"Kort fortalt","tldrKey":"**Bruk din egen nøkkel** = billigere","tldrCredits":"**Bruk Datablist credits** = enklere","tldrEnd":"Uansett, du har kontrollen.","aiAgentTitle":"Merknad om AI Agent-prompts","aiAgentDesc1":"Denne prompten er laget for Datablist [AI Agent](/enrichments/ai-agent) beriking. **En AI Agent er et smart verktøy som bruker kunstig intelligens (AI) til å utføre oppgaver for deg. Den kan bla gjennom nettsteder, bruke Google for å finne informasjon og samhandle med ulike onlinetjenester.** Dette betyr at den kan hjelpe deg med sanntidsdata og oppdaterte svar.","aiAgentDesc2":"På den annen side kan ChatGPT API bare analysere input-teksten og svare basert på sin eksisterende kunnskap. Den har ikke mulighet til å få tilgang til internett eller hente ny informasjon på egen hånd.","aiAgentDesc3":"En AI Agent gir en mer dynamisk opplevelse ved å hente inn sanntidsdata, mens ChatGPT API er avhengig av forhåndskunnskap for å svare på forespørsler.","aiAgentDesc4":"**Når du interagerer direkte på [https://chatgpt.com/](https://chatgpt.com/), interagerer du med en Agent. Noen ganger går den på nett for å gi ekstra informasjon til prompten din (men ikke ofte). Andre verktøy som er koblet til ChatGPT bruker derimot API-et. Husk derfor at denne prompten ikke kan brukes i et annet verktøy som kaller ChatGPT API.**","aiAgentDesc5":"Datablist [AI Agent](/enrichments/ai-agent) kjører en agent på hver linje i CSV-en din."},"aiScraperContent":{"howToTitle":"Slik bruker du denne AI-prompten","step1Title":"**Create a New Collection**: Start med å opprette en ny, tom collection i Datablist der dataene skal lagres. Klikk '+ Create new collection' i sidepanelet.","step1ImageAlt":"AI web scraping > Vanlig web scraping","step2Title":"**Select the AI Agent Source**: Klikk \"See all sources\" eller gå til \"Import\" -> \"Import From Data Sources\". Velg \"AI Agent - Site Scraper\".","step2ImageAlt":"Velg AI Agent - Site Scraper","step3Title":"**Konfigurer Source**:","step3Item1":"**Select Template**: Finn og velg prompten fra \"Template\"-nedtrekksmenyen. Prompten over lastes inn automatisk.","step3Item2":"**URL to Scrape**: Skriv inn URL-en du vil skrape","step3Item3":"**Enable Pagination (valgfritt)**: Hvis resultatene er på flere sider, huk av for ***Enable Pagination*** og sett en fornuftig ***Max Pages***-grense (f.eks. 10).","step3Item4":"**Customize (valgfritt)**: Du kan justere AI-modellen (f.eks. GPT-4o mini er ofte kostnadseffektiv), redigere prompten for spesifikke behov, eller endre forventede ***Outputs***.","step3ImageAlt":"AI web scraping > Vanlig web scraping","step4Title":"**Review Outputs**: Klikk ***Continue***. Datablist viser output-feltene definert i prompten (Project Name, Client Company Name). Klikk ***+***-ikonet ved siden av hvert for å opprette tilsvarende properties (kolonner) i samlingen din.","step4ImageAlt":"Outputs","step5Title":"**Run Import**: Klikk ***Run import now***. AI Agent vil starte skraping av nettstedet basert på prompten og fylle samlingen din.","pricingTitle":"Priser","pricingDesc":"Denne datakilden bruker Datablist credits basert på forbruk. Kostnadene avhenger av nettstedets kompleksitet og antall sider som besøkes.","pricingTest":"Test ved å kjøre AI Agent på én side først for å få et kostnadsestimat.","faqTitle":"FAQ","faq1Question":"Hvordan starte et nytt kjør med samme konfigurasjon?","faq1Answer":"Når du har kjørt AI Agent, klikk på den rosa knappen øverst til høyre i datatabellen for å åpne den igjen med dine sist brukte innstillinger.","faq1ImageAlt":"Bruk dine eksisterende agent-innstillinger","faq2Question":"Hva skjer hvis AI Agent prøver å få tilgang til et beskyttet nettsted eller blir blokkert?","faq2Answer":"AI Agent bruker automatisk proxy-servere ved behov for å få tilgang til nettsteder som kan ha scraping-beskyttelser eller geografiske begrensninger. Dette øker sjansen for vellykket datauttrekk, men svært tungt beskyttede nettsteder kan fortsatt være utfordrende.","faq3Question":"Hvor mye data kan jeg behandle med AI Agent?","faq3Answer":"Når du kjører AI Agent (enten som en beriking eller en datakilde), kan Datablist-samlinger håndtere behandling for opptil 100 000 elementer (rader). For større datasett må du kanskje dele dataene i flere samlinger.","faq4Question":"Hvordan er AI Agent forskjellig fra ChatGPT/Claude/Gemini-berikelsene?","faq4Answer":"De standard AI-berikingene (ChatGPT, Claude, Gemini) prosesserer data som allerede ligger i samlingen din ved å bruke AI-ens eksisterende kunnskap. AI Agent kan aktivt samhandle med det levende nettet—utføre Google-søk, bla gjennom nettsteder og hente ny informasjon basert på prompten din.","faq5Question":"Hvor nøyaktige er resultatene?","faq5Answer":"Nøyaktigheten avhenger i stor grad av hvor tydelig og spesifikk prompten din er, samt oppgavens kompleksitet og informasjonen som er tilgjengelig på nettet. Å gi klare instrukser, eksempler og regler for håndtering av feil forbedrer resultatene. Datablist gir ofte en confidence score for AI Agent-outputs for å hjelpe med å vurdere pålitelighet."},"aiOnColContent":{"step1Title":"**Create a New Collection**: Start med å opprette en ny, tom collection i Datablist der dataene skal lagres. Klikk '+ Create new collection' i sidepanelet.","step1ImageAlt":"Ny Collection","step2Title":"**Konfigurer Source**:","step2Item1":"**Select Template**: Finn og velg prompten fra \"Template\"-nedtrekksmenyen. Prompten over lastes inn automatisk.","step2Item2":"**For every item in**: Velg en collection med elementer. AI Agent vil kjøre for hvert element.","step2Item3":"**Prompt**: Rediger prompten med variabler fra samlingen din. Bruk \"/\" for å velge en property.","step2Item4":"**Customize (valgfritt)**: Du kan justere AI-modellen (f.eks. GPT-4o mini er ofte kostnadseffektiv), redigere prompten for spesifikke behov, eller endre forventede ***Outputs***.","step2ImageAlt":"Eksempel på prompt"}},"About":{"metadata":{"title":"Om oss","description":"Vårt oppdrag er å hjelpe deg å gjøre virksomheten din til et digitalt selskap."},"jsonLd":{"description":"Vårt oppdrag er å hjelpe deg å gjøre virksomheten din til et digitalt selskap."},"vision":{"heading":"Få virksomheten din til å vokse med data","paragraph1":"Med samarbeid brakte vi et menneske til månen, og forventet levealder har doblet seg siden 1900.","paragraph2":"Teknologi er en katalysator og en multiplikator for hva samarbeid kan få til. Før den industrielle revolusjonen i 1750 doblet gjennomsnittlig inntekt per person seg hvert 6 000. år; siden da har den doblet seg hvert 50. år.","paragraph3":"I en organisasjon gjør teknologi mennesker i stand til å produsere mer og automatiserer gjentakende oppgaver, slik at organisasjonens produktivitet øker.","paragraph4":"Vi mener at denne produktivitetsgevinsten er nøkkelen til å heve levestandarden i verden. Vareprisene faller, og produktivitetsgevinster gjør at folk kan bruke mer tid på aktiviteter utenfor jobb.","paragraph5":"Når vi produserer mer med mindre arbeid, får vi mer tid sammen med våre nærmeste!"},"approach":{"heading":"Vår tilnærming","paragraph1":"Før Datablist tilbrakte jeg åtte år som medgründer og CTO i et SaaS-selskap der 80 % var ingeniører.","paragraph2":"Vi optimaliserte og automatiserte produktutviklingen. Vi bygde test- og deploy-pipelines slik at enhver kodeendring førte til en stabil ny versjon for kundene våre.","paragraph3":"Likevel var driften vår, som hos mange selskaper – kanskje også hos dere – avhengig av regneark. Fra onboarding av ansatte til mailinglister, eller for <ProspectBuildingLink>å bygge lister for prospecting</ProspectBuildingLink>, finnes det ingen alternativer til brukervennlige regnearkverktøy.","paragraph4":"Når de interne prosessene dine ligger i regneark, er du halvveis i digitaliseringen. Men den andre halvdelen av digitaliseringen er vanskelig. Å implementere automatisering med regneark eller koble regneark sammen gir ofte flere tårer enn glede. Vi har alle dårlige erfaringer med flere versjoner samt dupliserte eller ugyldige data.","paragraph5":"Derfor bygger vi Datablist. Datablist gir datastrukturer samtidig som det er fleksibelt, slik at du kan bygge dine unike prosesser.","paragraph6":"Vårt oppdrag er å hjelpe deg å gjøre virksomheten din til et digitalt selskap. Tenk deg et digitalt operativsystem med interne verktøy drevet av data. Skalerbart, fleksibelt og utvidbart, slik at ditt digitale operativsystem vokser i takt med virksomheten."},"learnMore":{"heading":"Våre tanker"},"team":{"heading":"Team","members":{"florian":{"name":"Florian Poullin","title":"Grunnlegger","description":"Tidligere: medgründer og CTO i IZBERG-Marketplace (kjøpt i januar 2019 av Open Group, et fransk børsnotert selskap)"},"habib":{"name":"Habib Benabdeslam","title":"GTM & Growth Expert","description":"Habib kombinerer sin lidenskap for mennesker, teknologi og konkurranse for å lede veksten i Datablist."}},"tooltips":{"followLinkedIn":"Følg {name} på LinkedIn","followTwitter":"Følg {name} på Twitter","bookCall":"Book en samtale med {name}"},"altText":"{name} - Datablist"}},"Contact":{"metadata":{"title":"Kontakt ","description":"Kontakt Datablist for support, salgsforespørsler eller for å booke en demo."},"header":{"category":"Kontakt","title":"Send oss en melding","description":"Be om support, chat med teamet vårt eller få prisinformasjon."},"support":{"title":"Teknisk support","description":"For teknisk support kan du kontakte oss via email. Vennligst del skjermbilder og så mye kontekst som mulig.","showEmailButton":"Vis support email","generatingButton":"Genererer email-knapp...","emailButton":"Klikk her for å sende en email"},"sales":{"title":"Salg og markedsføring","description":"For å sende en melding til vårt salgsteam, fyll ut dette skjemaet.","button":"Spørsmål om salg"},"demo":{"title":"Få en demo","description":"Lær mer om produktene våre i en tilpasset live-demo fra salgsteamet vårt.","button":"Book demo-samtale"},"salesPage":{"metadata":{"title":"Kontakt – Datablist","description":"Kontakt Datablist for support, salgsforespørsler eller for å bestille en demo."},"breadcrumb":{"contact":"Kontakt oss","current":"Salg og markedsføring"},"header":{"category":"Kontakt","title":"Kontakt vårt salgs- og markedsføringsteam","description":"Fyll ut skjemaet nedenfor for forretningshenvendelser."}}},"Pricing":{"metadata":{"title":"Priser","description":"Velg den perfekte planen for dine databehov. Fleksible prisalternativer for enkeltpersoner og team."},"header":{"title":"Priser","subtitle":"Start gratis (<link>du kan starte uten å registrere deg</link>). Oppgrader for å låse opp potensialet i dataene dine."},"switcher":{"monthly":"Månedlig","yearly":"Årlig","discount":"-20%"},"plans":{"creditsYear":"{credits} credits per år.","creditsMonth":"{credits} credits per måned.","includedUsers":"{users} {users, plural, =1 {user} other {users}} inkludert","extraUsersMonth":"Deretter {price}/bruker/måned","extraUsersYear":"Deretter {price}/bruker/år","free":{"name":"Gratisplan","price":"0","users":"Én bruker","extraUsers":"Ingen ekstra bruker tillatt","credits":"500 kreditter per år","bulletsText":"Gratisplan inkluderer:","bullets":["Ubegrensede samlinger","Importer opptil 1 million elementer per samling lagret i nettleserens lagring","Duplikatfinner","Tilgang til gratis databerikelser","Importer CSV- og Excel-filer","Eksporter til CSV- og Excel-filer"],"restrictions":["Ingen skysynkronisering","Ingen automatisering for berikelser","Ingen premium-berikelser","Ingen tilpasset API-berikelse","Ingen eksportintegrasjoner"]},"starter":{"name":"Starter","creditsExtra":"Bruk påfyll for flere kreditter.","billedYearly":"faktureres årlig","bulletsText":"Alt i Gratisplan, og:","bullets":["Importer opptil 2 millioner elementer per samling lagret i nettleserens lagring","Synkroniser samlinger med færre enn 100 000 elementer i skyen","Avansert filtrering med regulære uttrykk og filtergrupper.","Avanserte dedupliseringsalgoritmer og innstillinger for automatisk sammenslåing","Deduplisering på tvers av flere samlinger","Avanserte dataekstraksjonsalgoritmer","Kodebibliotek for Javascript Run","AI Agent-berikelse","Tilgang til alle premium-berikelser","Prioritert support"],"restrictions":["Ingen automatisering for berikelser","Ingen eksportintegrasjoner","Ingen tilpasset API-berikelse","Ingen REST API-tilgang"]},"growth":{"name":"Growth","creditsExtra":"Bruk påfyll for flere kreditter.","billedYearly":"faktureres årlig","mostPopular":"Mest populær","bulletsText":"Alt i Starter-planen, og:","bullets":["Automatisering av berikelser","Automatisering av datakilder","Tilpasset API-berikelse","Datablist REST API","Teknisk onboarding"]},"common":{"perMonth":"per måned","signUp":"Registrer deg","notIncluded":"Ikke inkludert:"}},"faq":{"title":"Ofte stilte spørsmål","subtitle":"Nedenfor finner du svar på de spørsmålene vi får oftest om abonnementene våre","questions":{"canIUseFree":{"title":"Kan jeg bruke Datablist gratis?","message":"Gratisplanen er gratis for alltid. Den er laget for enkeltpersoner med sporadiske behov. Våre betalte planer tilbyr flere datahandlinger, skysynkronisering og teamadministrasjon."},"whatIsCollection":{"title":"Hva er en Datablist-samling?","message":"I Datablist struktureres dataene dine med samlinger som inneholder elementer. Alle elementene i en samling deler samme datastruktur. For eksempel kan en samling være en liste over salgsleads, e-poster i en mailingliste eller rekrutteringskandidater. <link>Se dokumentasjon for samlinger</link>."},"whereIsDataStored":{"title":"Hvor lagres dataene mine?","message":"Datablist bruker en lokal database levert av nettlesere for å lagre strukturert data. En lokal database er perfekt for rask tilgang og en responsiv brukeropplevelse. Men disse lokale dataene er begrenset til nettleseren din og kan gå tapt. For betalte planer synkroniseres samlinger med opptil 100 000 elementer i skyen."},"canIExport":{"title":"Kan jeg eksportere dataene mine lagret i Datablist?","message":"Selvfølgelig! Data er din ressurs, og eksport er gratis og ubegrenset. Du kan eksportere dataene direkte fra samlingene dine i CSV- og/eller Excel-format. For samlinger som ikke er synkronisert i skyen, anbefaler vi at du utfører regelmessige eksporter for å sikkerhetskopiere dataene i tilfelle nettleseren din sletter dem. Merk at Excel har noen begrensninger på størrelsen på en celle og på antall rader. En stor samling kan derfor ikke eksporteres i Excel-format."},"whatAreCredits":{"title":"Hva brukes kreditter til?","message":"For noen berikelser (OpenAI, Google Translate, DeepL, Email Finder osv.) bruker Datablist tredjeparts-API-er. De fleste tredjeparts-API-er er betalte tjenester. For å håndtere dette har Datablist et kredittsystem. Alle andre funksjoner (deduplisering, redigering, filtrering osv.) er ubegrenset. <link>Mer om Datablist-kreditter</link>."},"whenCreditsYearly":{"title":"Når får jeg kreditter for årsplanen?","message":"På årsplaner får du summen av månedlige kreditter ved kjøpstidspunktet. På Starter-planen mottar du 60 000 kreditter med en gang, og på Growth-planen får du 240 000 kreditter."},"whatIsEnrichment":{"title":"Hva er en berikelse?","message":"<enrichmentsLink>Enrichments</enrichmentsLink> er nettprogrammer som utfører operasjoner på alle eller deler av elementene i samlingen din. Datablist <storeLink>Enrichments Store</storeLink> inkluderer berikelser for lead generation, tekstoversettelser, web scraping, ChatGPT osv."},"premiumEnrichmentsList":{"title":"Har dere en liste over premium-berikelser?","message":"Vi legger til berikelser hver måned. For å få en oppdatert liste over berikelsene våre, <link>åpne Datablist</link> og klikk på \"Enrich\"-knappen i headeren til en samling. Alle berikelser er listet der. En \"Premium\"-etikett er synlig ved siden av premium-berikelsene."},"canBrowserDelete":{"title":"Kan nettleseren min slette mine lokale data?","message":"Det kan skje hvis du tømmer nettleserens cache, eller når du når lagringsgrensen på harddisken. Den lokale databasen Datablist bruker slettes sammen med informasjonskapsler, hurtigbufrede data og annet nettstedsdata når du tømmer nettstedsdata i nettleseren. For å unngå datatap, bruk skysynkronisering (tilgjengelig for samlinger med færre enn 100 000 elementer i de betalte planene). En annen måte å beskytte dataene på er å eksportere dem jevnlig til en CSV-fil."},"cloudSyncLimit":{"title":"Hva skjer når jeg når grensen for skysynkronisering av elementer?","message":"Betalte planer har skysynkronisering for samlinger med færre enn 100 000 elementer. For større samlinger er skysynkronisering foreløpig ikke mulig, og dataene i samlingen lagres kun i nettleseren din."},"browserSupport":{"title":"Fungerer Datablist i alle nettlesere?","message":"Datablist krever en moderne nettleser. Nye versjoner av Chrome, Safari, Firefox og Edge støttes. Internet Explorer støttes ikke. Datablist er for tiden laget for nettlesere på desktop. En mobilversjon som er kompatibel med mobilnettlesere står på roadmapen."},"freeVsPremium":{"title":"Hva er forskjellene mellom gratis- og premium-berikelser?","message":"Gratis-berikelser er tilgjengelige for registrerte gratisbrukere, mens premium-berikelser er forbeholdt kunder. Premium-berikelser bygger som regel på tredjepartstjenester og har månedlige anropsgrenser."},"hitEnrichmentLimit":{"title":"Hva skjer når jeg når grensen for premium-berikelser?","message":"Når kredittsaldoen er brukt opp, kan du ikke kjøre premium-berikelser. Du kan fylle på (top-up) kreditter eller vente til de månedlige kredittene fornyes."},"paymentOptions":{"title":"Hvilke betalingsalternativer har jeg?","message":"Alle månedlige betalinger gjøres med kredittkort eller PayPal. Datablist bruker Chargebee, Stripe eller PayPal til å behandle og lagre kredittkortdata."},"canCancel":{"title":"Kan jeg si opp planen min når som helst?","message":"Det er ingen binding hos Datablist. Gå bare til abonnementsseksjonen og klikk på 'Downgrade account'."},"canUpgrade":{"title":"Kan jeg oppgradere fra Starter til Growth-planen?","message":"Ja. Du kan oppgradere fra Starter til Growth-planen. Når du går fra Starter til Growth, skjer endringen umiddelbart, og du blir belastet pro rata for dagene som gjenstår før neste faktureringsperiode. For eksempel: Hvis faktureringsperioden din er den 5. hver måned, og du oppgraderer til Growth den 1., blir du fakturert prisforskjellen for de resterende 5 dagene."},"canDowngrade":{"title":"Kan jeg nedgradere fra Growth til Starter-planen?","message":"Ja. Du kan nedgradere fra Growth til Starter-planen. Når du nedgraderer, trer endringene i kraft ved slutten av faktureringsperioden. For eksempel: Hvis faktureringsperioden din er den 5. hver måned, og du nedgraderer til Starter den 1., forblir du på Growth til den 5."},"refunds":{"title":"Tilbyr dere refusjon?","message":"Vi tilbyr ikke refusjon, dessverre. Produktet kan testes med gratisversjonen vår."}}},"cloudAgency":{"title":"Skybyrå? La oss ta en prat!","description1":"Er du et lead generation-byrå? La oss bygge en plan som passer dine behov.","description2":"Vi tilbyr også Professional Services for skreddersydde integrasjoner eller spesifikke behov.","description3":"<link>Book en samtale med oss.</link>","complexUseCase":{"title":"Har du et komplekst use case?","description1":"For byråer, teknologipartnere, Professional Services-partnere eller alle med et komplekst behov: Vennligst <contactLink>kontakt oss</contactLink> eller <bookLink>book en samtale med teamet vårt</bookLink>.","description2":"Sjekk også vårt <helpLink>Hjelpesenter</helpLink> for å lære mer om hvordan Datablist fungerer."}},"v4":{"hero":{"eyebrow":"Priser","title":["Enkle abonnementer. Nøyaktige data.","Kraftige AI-workflows."],"description":"Velg et abonnement med funksjonene du trenger, og legg til kreditter etter hvert som bruken øker.","badges":["Abonnementer for enkeltpersoner og team","Ubegrensede datahandlinger","Avslutt når som helst"],"note":"Betalte abonnementer inkluderer kreditter for databerikelse. Gratisabonnementet inkluderer 500 kreditter per år."},"billing":{"monthly":"Månedlig","yearly":"Årlig","save":"Spar {discount}%"},"common":{"currency":"$$","currencyCode":"USD","price":"{currency}{amount}","perMonth":"/mnd.","freeForever":"gratis for alltid","billedYearly":"faktureres årlig","includedCredits":"Inkluderte kreditter","freeCredits":"500 kreditter / år","creditsSelector":"{amount} kreditter/mnd.","creditsComparison":"{amount} kreditter / mnd.","includedInPlan":"inkludert i abonnementet","addOnNote":"+${price}/mnd. som tillegg","choose":"Velg {name} {reason}","featuresPrevious":"Du får alt i <muted>{name}</muted>, pluss:","popular":"Mest populær","breakdown":"Se oversikt","startFree":"Start gratis","startTrial":"Kom i gang gratis","limited":"Begrenset","limitedTooltip":"Tilgjengelig med dine 500 gratis kreditter. Kjøringer er tregere med gratisabonnementet.","loading":"Laster priser …","creditsMonth":"{amount} kreditter per måned","creditsYear":"{amount} kreditter per år","includedUsers":"{users, plural, =1 {1 bruker inkludert} other {# brukere inkludert}}","extraUsersMonth":"Deretter {price}/bruker/måned","extraUsersYear":"Deretter {price}/bruker/år","annualBilling":"{price} faktureres årlig","buyCredits":"Kjøp kreditter i Datablist"},"plans":{"free":{"name":"Gratis","tag":"For enkeltbrukere som renser og utforsker data i nettleseren.","cta":"Kom i gang gratis","micro":"Krever ikke betalingskort.","choose":"hvis du bare trenger enkel deduplisering og datarensing.","featuresHeading":"Viktige funksjoner som er inkludert:","features":["<accent>5 verktøy for datarensing og uttrekk</accent>: deduplisering, søk og erstatt, masseredigering","ChatGPT-/Claude-integrasjon med din egen nøkkel","AI-redigering (begrenset)","2 millioner poster / tabell, kun i nettleseren","Én bruker","Begrenset databerikelse","Lav kjøringshastighet","Ingen sikkerhetskopiering i skyen"]},"starter":{"name":"Starter","tag":"For enkeltpersoner som kjører workflows for scraping, databerikelse og rensing.","cta":"Kom i gang gratis","micro":"Krever ikke betalingskort.","choose":"hvis du vil scrape leads, undersøke kontoer og berike data på én plattform.","featuresHeading":"Alt i Gratis, pluss:","features":["<accent>Over 50 verktøy for scraping og berikelse av leads</accent>: email- og telefonsøk, LinkedIn, domener, firmadata og mer","<accent>Over 20 avanserte renseverktøy</accent>: verifisering, rensing og parsing","Sales Navigator Scraper","AI Research Agent og AI Scraping Agent","Sikkerhetskopiering i skyen, opptil 100k rader / tabell","{users, plural, =1 {1 bruker inkludert} other {# brukere inkludert}}","Grunnleggende brukerstøtte"]},"growth":{"name":"Growth","tag":"For enkeltpersoner og små team som automatiserer databerikelse.","cta":"Kom i gang gratis","micro":"Krever ikke betalingskort.","choose":"hvis du vil berike data og automatisere workflows.","featuresHeading":"Alt i Starter, pluss:","features":["Automatiseringer (planlagte og triggerbaserte)","REST API + Call HTTP","Integrasjoner (Lemlist, Pipedrive med flere)","{users, plural, =1 {1 bruker inkludert} other {# brukere inkludert}}","Prioritert brukerstøtte"]},"scale":{"name":"Scale","tag":"For voksende team og byråer som kjører GTM-systemer i stor skala","cta":"Kom i gang gratis","micro":"Krever ikke betalingskort.","choose":"hvis du administrerer store databaser, vil bruke dine egne AI-nøkler og beholde ubrukte kreditter.","featuresHeading":"Alt i Growth, pluss:","features":["Overføring av ubrukte kreditter","Egen nøkkel i AI Agent","Sikkerhetskopiering i skyen, opptil 200k rader / tabell","Dedikert kundeansvarlig","Prioritert brukerstøtte + onboarding"]}},"enterprise":{"title":"Enterprise","description":"Tilpassede kredittvolumer, sikkerhetsgjennomgang, fakturering, en dedikert kundeansvarlig og skreddersydd onboarding. For byråer og større team med spesifikke behov.","cta":"Snakk med salgsavdelingen"},"comparison":{"title":"Sammenlign alle funksjoner","description":"Alle abonnementene side om side. Klikk på en seksjonsoverskrift for å skjule seksjonen.","groups":[{"title":"Abonnement","rows":[{"label":"Gratis kreditter inkludert"},{"label":"Teammedlemmer","values":["1","Ubegrenset ∞","Ubegrenset ∞","Ubegrenset ∞"]},{"label":"Prioritert brukerstøtte"},{"label":"Onboarding"},{"label":"Overføring av ubrukte kreditter"},{"label":"Dedikert kundeansvarlig"}]},{"title":"Verktøy for leadgenerering","rows":[{"label":"Waterfall Email Finder","description":"Finn verifiserte B2B-emails ut fra navn og firma eller en LinkedIn-URL. Kombinerer over 20 leverandører til 25 kreditter per email, og du betaler bare for emails som blir funnet."},{"label":"Waterfall Phone Finder","description":"Finn mobilnumre fra URL-en til en LinkedIn-profil. Betal bare når et nummer blir funnet."},{"label":"LinkedIn Profile Scraper","description":"Hent opptil 40 datapunkter (rolle, firma, erfaring og utdanning) fra URL-en til en LinkedIn- eller Sales Navigator-profil uten å risikere kontoen din."},{"label":"Firmaberikelse","description":"Berik firmadata fra firmaets domene eller LinkedIn-side: bransje, størrelse, sted, etableringsår med mer – opptil 9 datapunkter."},{"label":"Company Domain Finder","description":"Finn nettstedet og domenet til et firma ut fra firmanavnet, med en konfidensvurdering."},{"label":"Scraping av stillingsportaler","description":"Scrape stillingsannonser fra over 19 stillingsportaler, inkludert LinkedIn, Indeed og Glassdoor. Kan filtreres etter stillingstittel, sted, firma med mer"},{"label":"Sales Nav Scraper (din konto)","description":"Scrape leads eller firmaer fra et LinkedIn- eller Sales Navigator-søk ved hjelp av din egen LinkedIn-konto. 10 kreditter per lead."},{"label":"Sales Nav Scraper (uten konto)","description":"Scrape leads eller firmaer fra et Sales Navigator-søk uten å koble til din egen konto. 20 kreditter per lead."}]},{"title":"AI og automatisering","rows":[{"label":"ChatGPT-/Claude-integrasjon (din nøkkel)","description":"Kjør en valgfri LLM-prompt på tvers av radene dine med din egen API-nøkkel. Ingen Datablist-kreditter brukes."},{"label":"AI Research Agent","description":"Gi agenten en valgfri oppgave eller et spørsmål, så søker den på Google og besøker nettsteder for å fullføre oppgaven."},{"label":"Automatisering","description":"Kjør databerikelser og importer automatisk etter en tidsplan eller trigger."},{"label":"REST API + Call HTTP","description":"Les og skriv dataene dine programmatisk, og kall et valgfritt eksternt endepunkt fra en workflow."},{"label":"Integrasjoner (Lemlist, Pipedrive med flere)","description":"Send leads direkte til tredjepartskilder."},{"label":"Egen nøkkel i AI Agent","description":"Bruk din egen API-nøkkel for modeller med AI Agent for å redusere kostnadene."}]},{"title":"Regnearkfunksjoner","rows":[{"label":"Lagring","values":["Kun i nettleseren","Skysynkronisering","Skysynkronisering","Skysynkronisering"]},{"label":"Antall tabeller","values":["∞","∞","∞","∞"]},{"label":"Importgrense / tabell","values":["2 millioner poster","2 millioner poster","2 millioner poster","2 millioner poster"]},{"label":"Synkroniserte rader / tabell","values":["-","100k","100k","200k (kommer snart)"]},{"label":"Versjonshistorikk (kommer snart)","values":["Ingen","7 dager","14 dager","30 dager"]},{"label":"AI-redigering","values":["3 gratis redigeringer","Ubegrenset","Ubegrenset","Ubegrenset"]}]},{"title":"Funksjoner for datarensing","rows":[{"label":"Deduplisering i én fil","description":"Finn, slå sammen eller fjern duplikater i en samling med konfigurerbare samsvarsregler."},{"label":"Søk og erstatt","description":"Søk etter og erstatt verdier i et felt eller i hele samlingen."},{"label":"Masseredigering","description":"Rediger mange elementer samtidig: angi eller erstatt flere verdier på én gang."},{"label":"Trekk ut data fra tekst","description":"Trekk ut emails, URL-er og telefonnumre fra et hvilket som helst tekstfelt."},{"label":"Email-validering","description":"Kontroller syntaks, domene og MX-poster for en email umiddelbart. En gratis kontroll med øyeblikkelig resultat."},{"label":"Papirkurv og datagjenoppretting","description":"Gjenopprett elementer som ved et uhell er slettet, fra papirkurven."},{"label":"Deduplisering i flere filer","description":"Dedupliser på tvers av flere samlinger eller importer samtidig."},{"label":"Email-verifisering","description":"Kontroller full leveringsdyktighet (syntaks, domene, innboks og catch-all) på tvers av flere leverandører."},{"label":"Rensing av firmanavn","description":"Standardiser firmanavn: fjern LLC og Inc, og korriger bruk av store og små bokstaver."},{"label":"Rensing av telefonnumre","description":"Standardiser telefonnummerformater og legg til manglende landskoder."},{"label":"Navneparser","description":"Del et fullt navn i fornavn og etternavn, og finn kjønn og tittel."},{"label":"Finn språk","description":"Identifiser språket i en tekst med en konfidensscore."}]}]},"credits":{"title":"Slik fungerer kreditter","description":"Det er alltid gratis å kjøre workflows, rense data, trekke ut tekst og bruke egne API-nøkler – uansett abonnement. Kreditter brukes til databerikelser som henter informasjon fra betalte datakilder, for eksempel email finders, telefonsøk og LinkedIn-scraping. Gratisabonnementet inkluderer 500 kreditter per år. Betalte abonnementer inkluderer kreditter for faktureringsperioden, og du kan kjøpe flere når som helst.","cards":[{"title":"Inkludert gratis i alle abonnementer","description":"Gratisabonnementet inkluderer 500 kreditter per år. Kredittmengden i betalte abonnementer avhenger av faktureringsperioden. Du bruker bare kreditter på databerikelser som henter informasjon fra betalte datakilder."},{"title":"Gjentakende kredittpakker","description":"Trenger du flere hver måned? Legg til en gjentakende pakke for å få den beste prisen per kreditt. Jo større pakke, desto lavere pris per kreditt."},{"title":"Engangspåfyll","description":"Ved sporadiske topper kan du kjøpe et engangspåfyll. Påfyllskreditter utløper aldri, og du beholder dem selv om du avslutter abonnementet."}],"note":"Rensing, deduplisering og alle verktøy du kjører med din egen API-nøkkel, bruker aldri kreditter.","costsTitle":"Dette får du for kredittene","costsDescription":"Noen av de mest populære kredittbaserte verktøyene og hva de koster.","costs":[{"name":"Company Domain Finder","description":"<accent>1 kreditt</accent> per oppslag • Rask massesøking etter domener fra firmanavn"},{"name":"AI Research Agent","description":"<accent>Bruksbasert</accent> • Gratis og ubegrenset når du bruker din egen API-nøkkel"},{"name":"Sales Navigator Scraper","description":"<accent>10–20 kreditter</accent> per eksporterte lead • Verifisert email og firmainformasjon"},{"name":"Waterfall Email Finder","description":"<accent>25 kreditter</accent> per email som blir funnet • Du betaler kun ved treff (0 kreditter hvis ingenting blir funnet)"},{"name":"LinkedIn Profile Scraper","description":"<accent>25 kreditter</accent> per profil • Scraper erfaring, jobbhistorikk og kontaktdata"},{"name":"Scraping av stillingsportaler","description":"<accent>10 kreditter</accent> per annonse • Trekker ut stillingstittel, firma, lønn og sted"}]},"topup":{"title":"Velg størrelse på et engangspåfyll","description":"Kun faste pakker, ingen egendefinerte mengder, så prisen er alltid nøyaktig som vist.","question":"Hvor mange kreditter trenger du?","credits":"kreditter","summary":"Sammendrag","oneTime":"engangsbeløp","rate":"{rate} / 1 000 kreditter","delivered":"{label} ({amount})","offRate":"{discount}% rabatt på grunnprisen","baseRate":"Grunnpris ({rate} / 1k)","labels":["Levererte kreditter","Valgt nivå","Utløper","Faktureres i"],"never":"Aldri","cta":"Kjøp nå →","tiles":[{"title":"Betal etter bruk","description":"Et betalt abonnement kreves. Kjøp kreditter bare når du trenger dem."},{"title":"Kombineres med abonnementet","description":"Legges til den månedlige kvoten i abonnementet ditt."},{"title":"Umiddelbar levering","description":"Kredittene blir tilgjengelige så snart betalingen er bekreftet."}],"tierLabels":["20k","40k","60k","80k","100k","120k","140k","200k","300k","500k","750k","1M","1.25M","1.5M"]},"faq":{"title":"Ofte stilte spørsmål","items":[{"question":"Hva er kreditter, og hva bruker dem?","answer":"Kreditter er Datablists interne valuta. Databerikelser som kaller en betalt datakilde (email- og telefonsøk, scrapere, LinkedIn, firmadata og oversettelser), bruker kreditter. Rensing, deduplisering og verktøy som bruker din egen API-nøkkel, gjør ikke det."},{"question":"Utløper kredittene mine, eller overføres de?","answer":"Abonnementskredittene fornyes ved hver faktureringsperiode og overføres ikke. Påfyllskreditter utløper aldri."},{"question":"Hva er forskjellen mellom et gjentakende tillegg og et engangspåfyll?","answer":"Et gjentakende tillegg fyller på kreditter hver måned til en bedre pris per kreditt og passer best for jevn bruk. Et engangspåfyll er et enkeltkjøp for sporadiske topper, og kredittene utløper aldri."},{"question":"Kan jeg bruke mine egne API-nøkler?","answer":"Ja. LLM-verktøy (ChatGPT, Claude, Gemini med flere) kjører gratis med din egen nøkkel i alle abonnementer. Apollo, PeopleDataLabs, Moz og Bing kjører med din nøkkel fra Starter-abonnementet og oppover."},{"question":"Tar dere betalt for datahandlinger?","answer":"Nei. Datahandlinger som deduplisering og rensing er gratis. Du betaler datakreditter for databerikelser, uten en separat handlingskreditt i tillegg."},{"question":"Hvilke databerikelser belaster bare når de finner et resultat?","answer":"De fleste søkeverktøy (email, telefon og privat email) belaster bare ved treff, så du betaler aldri for et bomskudd. Enkelte databerikelser belaster per forsøk. Se hele oversikten i hjelpesenteret."},{"question":"Hvordan får jeg de 500 gratis kredittene?","answer":"Registrer deg for Datablist med en jobb-email for å få 500 gratis kreditter."}]},"accessibility":{"included":"Inkludert","notIncluded":"Ikke inkludert"}}},"Logos":{"SUBTITLE":"Du vil være i godt selskap"},"LocaleSwitcher":{"label":"Endre språk"},"ThemeSwitcher":{"LABEL":"Tema","LIGHT":"Lys","DARK":"Mørk","AUTO":"Automatisk"},"TalkToUs":{"TITLE":"Hva ville du gjort hvis vi ga deg 3–5 ekstra timer hver uke?","SUBTITLE":"Prøv Datablist og se hvor enkel workflow-automatisering kan være. 18 000+ brukere opplever det allerede!","CTA":"Snakk med oss","START_FOR_FREE":"Start gratis!"}},"now":"$undefined","timeZone":"UTC","children":["$","$L1f",null,{"children":[["$","$L20",null,{}],["$","main",null,{"className":"mt-16","children":["$","$L2",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L3",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]}],"$L21",["$","$L22",null,{}]]}]}] </article></body></html>

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