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En databasmatchning kostar 1 credit och debiteras endast när en domän hittas, så 500 lyckade matchningar kostar cirka 500 credits. En Google-sökning som reserv kostar 2,5 credits och debiteras oavsett om den hittar något. Använd kalkylatorn ovan för att beräkna din egen fördelning."},{"question":"Vad visar poängen för domänens tillförlitlighet egentligen?","answer":"Hur säker Datablist är på att domänen tillhör namnet. Resultatet anges som Hög, Medel, Låg eller Mycket låg. Syftet är att prioritera i stor skala: godkänn Hög automatiskt, granska Medel innan du använder resultatet senare i processen och skicka Låg och Mycket låg till en kraftfullare metod i stället för att skicka email till dem."},{"question":"Hur hanterar ni tvetydiga namn som \"Dove\" eller \"United\"?","answer":"Ett fristående namn är genuint tvetydigt och ingen sökning kan lösa det utan mer information. Två saker hjälper. Ange ett måland, per lista eller per rad, för att minska antalet kandidater. För namnen som återstår kör du AI Agent med mer kontext, till exempel en stad, bransch eller beskrivning, så resonerar den kring vilken matchning som passar."},{"question":"Vad händer när en sökning inte ger något resultat?","answer":"Status i utdata blir not_found, eller empty_name om indatacellen var tom. Filtrera vyn till dessa rader och försök igen: lägg till ett land, aktivera Google som reserv om du bara körde databaser eller flytta dem till AI Agent med mer kontext."},{"question":"Varför får jag katalogsidor i stället för företagens webbplatser?","answer":"Som standard hoppar Datablist över URL:er som inte ligger på rotnivå och kända kataloger som Crunchbase, samt sociala nätverk som LinkedIn och Facebook, när Google-resultat poängsätts. Om en branschspecifik katalog ändå slinker igenom lägger du till den under Hoppa över följande domäner, så exkluderas den tillsammans med standardalternativen."},{"question":"Kan jag ange ett annat måland för varje rad?","answer":"Ja. Aktivera Ange måland per objekt så visas ett indatafält för Måland, som du kopplar till en kolumn. Godkända format är ISO 3166-koder (FR, USA) eller det fullständiga engelska namnet (Portugal). Rader med ett saknat eller ogiltigt land använder den globala inställningen för Måland."},{"question":"Debiteras jag två gånger om jag kör berikningen igen?","answer":"Inte för Google. Resultaten cachas i 48 timmar, så om du ändrar en inställning och kör igen inom den perioden kostar raden 1 credit i stället för 2,5. För att undvika att bearbeta rader som redan har lösts filtrerar du vyn till raderna där domänen är tom och kör på alla objekt i vyn."},{"question":"Vad ska jag göra när jag har domänerna?","answer":"Domänen öppnar resten av din stack. Företagsberikning lägger till bransch, storlek, plats och grundandeår. Waterfall Email Finder tar ett namn och domänen och returnerar en verifierad emailadress. Teknikberikning läser av sajtens stack."}]},"related":{"eyebrow":"Integrationer","title":"Relaterade berikningar","description":"Kombinera Company Domain Finder med kompletterande dataverktyg i Datablist.","cards":[{"title":"Företagsberikning","description":"Omvandla en domän till bransch, storlek, plats och grundandeår.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Använd domänen tillsammans med ett namn för att hitta en verifierad emailadress.","imageAlt":""},{"title":"Rensning av företagsnamn","description":"Ta bort LLC och Inc och korrigera skiftläget innan du kör sökningen.","imageAlt":""}],"action":"Se alla berikningar"},"free":{"eyebrow":"Gratisverktyg","title":"Prova gratis först","description":"Gratisversioner av relaterade verktyg som du kan prova på några rader innan du skalar upp.","cards":[{"title":"Gratis domänsökare","description":"Klistra in företagsnamn och hitta deras webbplatser. 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ISO 3166-kod eller engelskt namn"]]},{"title":"Utdata","rows":[["Företagsdomän","Text","Företagets domän, t.ex. google.com, när en hittas"],["Företagets fullständiga URL","URL","Företagets fullständiga URL, t.ex. https://www.google.com, när en hittas"],["Domänens tillförlitlighet","Text","Hur stark matchningen är: Hög, Medel, Låg eller Mycket låg"],["Status","Text","Ett av success, not_found eller empty_name"]]}]},"cta":{"title":"Sluta göra manuellt det Datablist gör på sekunder","body":"Prova Datablist och upptäck hur enkelt det kan vara att automatisera workflows. 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Då kan du välja mellan följande alternativ:","• Kör på de första 10 objekten: Bra för att kontrollera resultaten innan du fortsätter","• Kör på de första 100 objekten: Användbart om du vill validera större urval","• Kör på de första {X} objekten: Låter dig välja hur många objekt som ska bearbetas","• Kör på alla objekt i vyn: Bearbeta hela listan (eller vyn om du har aktiverat filter)","När du har valt önskat alternativ klickar du på Kör på X objekt","Inom några minuter har du en kolumn med verifierade domäner bredvid företagsnamnen, redo för nästa berikning.","Sortera eller filtrera efter Domänens tillförlitlighet och skicka sedan rader med Låg, Mycket låg och not_found till AI Agent med mer kontext, till exempel en stad eller bransch."],"imageAlts":["Företagsnamn till domän – Körningsinställningar","Företagsnamn till domän – Körning av webbplatssökaren","Företagsnamn till domän – Databasresultat","Företagsnamn till domän – Resultat från AI Agent"]}],"faq":{"title":"Vanliga frågor","items":[{"question":"Vad är skillnaden mellan de två workflow-alternativen?","answer":"Alternativet med endast företagsdataset matchar dina namn mot kvalitetssäkrade dataset för namn och domäner. Det är det snabba alternativet, kostar 1 credit och debiteras endast vid en träff. Det andra alternativet lägger till en Google-sökning i realtid för namnen som inte kunde matchas i datasetet. Det kostar 2,5 credits per sökning och debiteras oavsett om en domän hittas eller inte."},{"question":"Vilken får jag när flera domäner matchar ett namn?","answer":"Den med mest trafik. Om du inte vill ha detta resultat är det effektivast att begränsa efter Måland, eftersom datasetet då filtreras innan valet mellan matchningarna görs."},{"question":"Vad gör Godkänn webbplatser som inte ligger på rotnivå?","answer":"Som standard avvisar Datablist Google-resultat som inte ligger på en rotdomän. Det håller katalogsidor som directory.com/mycompany borta från din lista. Nackdelen är att du även missar verkliga företag vars webbplats ligger på en plattform, till exempel hostingplatform.com/mycompanypage. Aktivera alternativet när listan innehåller många småföretag."},{"question":"Hur påverkar Googles cache på 48 timmar mina credits?","answer":"Datablist cachar Googles sökresultat i 48 timmar. Om du ändrar Godkänn webbplatser som inte ligger på rotnivå eller Hoppa över följande domäner och kör igen inom den perioden hämtas resultaten från cachen och kostar 1 credit per rad i stället för 2,5. Det gör det billigt att finjustera dessa två inställningar."},{"question":"Vad används Bearbeta endast cachade Google-resultat till?","answer":"Det begränsar körningen till Google-resultat som du redan har betalat för och hoppar över datasetresultat helt. Använd det för att poängsätta en tidigare körning på nytt med andra inställningar utan att betala för nya sökningar i realtid."},{"question":"Vilka landsformat godkänns för Måland?","answer":"ISO 3166 Alpha-2-koder som FR, Alpha-3-koder som USA eller det fullständiga engelska namnet, till exempel Portugal. Om en rads land saknas eller är ogiltigt använder Datablist den globala inställningen för Måland."},{"question":"Hur kör jag bara de rader som misslyckades igen?","answer":"Filtrera vyn efter Status eller efter Domänens tillförlitlighet för svaga matchningar och välj sedan Kör på alla objekt i vyn. Endast raderna i den filtrerade vyn bearbetas, så du betalar aldrig igen för rader som redan har lösts."},{"question":"När bör jag använda AI Agent i stället?","answer":"När ett namn är tvetydigt och du har kontext som sökningen inte kan använda. Både datasetet och Google utgår enbart från namnet. AI Agent tar emot en stad, bransch eller beskrivning tillsammans med namnet, undersöker företaget och returnerar en domän med en tillförlitlighetspoäng och en förklaring. Spara den till de återstående raderna, eftersom den är användningsbaserad och kostar mer per rad."}]}},"corner":{"title":"Prova gratis","body":"Omvandla dina företagsnamn till verifierade domäner i bulk. 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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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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. 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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":"Smarta människor frågar ofta","WHAT_IS_TITLE":"Vad är Datablist?","WHAT_IS_TEXT":"Datablist är ett AI-drivet kalkylblad som låter dig interagera med dina data på enklast möjliga sätt – oavsett om det handlar om deduplicering, datastädning, bearbetning, berikning eller att automatisera workflows.","TECHNICAL_TITLE":"Är Datablist byggt för tekniska användare?","TECHNICAL_TEXT":"Datablist är för alla som behöver arbeta med data – från nybörjare till power users. Vårt kalkylbladsgränssnitt och våra lärresurser gör att du kan bli produktiv direkt.","INDUSTRIES_TITLE":"Vilka branscher och team arbetar med Datablist?","INDUSTRIES_TEXT":"Även om majoriteten av våra kunder finns inom sälj, e‑com operations, SaaS growth eller finans, begränsar vi oss inte till vissa branscher eller team – vi arbetar gärna med alla.","INTEGRATIONS_TITLE":"Vilka verktyg kan vi integrera Datablist med?","INTEGRATIONS_TEXT":"Datablist kan integreras med många CRM:er och låter dig ta bort behovet av flera prenumerationer, till exempel scrapers och email finders. Det ger också tillgång till verktyg som ingen annan plattform har, som vår AI research agent och dedupliceringsassistent."},"FeatAIAgent":{"PAGE_TITLE":"AI Agent: Automatisera research på webben och dataextraktion","PAGE_DESC":"Använd Datablists AI Agent för att scrapa vilken webbplats som helst, automatisera Google-sökningar och extrahera strukturerad data med enkla prompts. Ingen kod krävs.","HERO_TITLE":"Din automatiserade AI-researchassistent","DESCRIPTION":"Sluta slösa timmar på manuell research. Beskriv ditt mål på enkel engelska, så söker vår AI Agent på Google, besöker webbplatser och extraherar exakt den data du behöver – helt automatiskt.","FEATURE":"Funktion","POWERFUL_AUTOMATION":"Kraftfull automatisering","100%ONLINE":"100% online","EASY_TO_USE":"Lätt att använda","BEYOND_SCRAPING_TITLE":"Gå bortom traditionell scraping","BEYOND_SCRAPING_DESC_1":"Traditionella web scraping-verktyg bygger på rigida regler och slutar fungera så fort layouten på en webbplats ändras. De kan inte förstå kontext eller hantera komplexa, dynamiska sajter.","BEYOND_SCRAPING_DESC_2":"Vår AI Agent är annorlunda. Drivs av avancerade stora språkmodeller (LLM) och förstår innebörden av innehåll, inte bara dess HTML‑struktur. Den navigerar på webbplatser som en människa, vilket gör den mer robust, mångsidig och kapabel att extrahera nyanserad information.","BEYOND_SCRAPING_DESC_3":"Ge den ett mål, så planerar och utför den stegen för att nå det – från att följa länkar och paginera genom resultat till att analysera ostrukturerad text.","HOW_IT_WORKS_TITLE":"Så fungerar AI Agent","HOW_IT_WORKS_DESC":"AI Agent följer en enkel men kraftfull process för att göra din förfrågan till strukturerad data.","STEP_1_TITLE":"1. Du sätter målet","STEP_1_DESC":"Ange en start-URL och en tydlig prompt som beskriver vilken data du vill extrahera och hur den ska formateras.","STEP_2_TITLE":"2. Agenten navigerar och förstår","STEP_2_DESC":"Agenten besöker webbplatsen, renderar JavaScript och analyserar innehållet för att förstå sammanhanget och hitta relevant information.","STEP_3_TITLE":"3. Den hanterar komplexa sidor","STEP_3_DESC":"Behöver du scrapa en flersidig lista? Aktivera bara paginering. Agenten hittar och klickar intelligent på \"nästa\" för att samla data från alla sidor.","STEP_4_TITLE":"4. Data extraheras och struktureras","STEP_4_DESC":"Baserat på din prompt extraherar agenten de specificerade datapunkterna och levererar dem prydligt till dina förkonfigurerade kolumner.","USE_CASES_TITLE":"Från lead gen till market intelligence: oändliga möjligheter","USE_CASE_LEAD_GEN_TITLE":"Superladda lead generation","USE_CASE_LEAD_GEN_DESC":"Hitta hyperrelevanta personaliseringspunkter i skala. Scrapa företagens kundcase, identifiera nyckelpersoner på \"Om oss\"-sidor eller extrahera kontaktuppgifter från tyska \"Impressum\"-sidor.","USE_CASE_LEAD_GEN_LINK":"Se hur du scrapar kundcase","USE_CASE_ECOMMERCE_TITLE":"E-handel & produkt-scraping","USE_CASE_ECOMMERCE_DESC":"Extrahera produktnamn, priser, specifikationer och beskrivningar från vilken e‑handel som helst, även över flera kategorisidor.","USE_CASE_ECOMMERCE_LINK":"Lär dig scrapa e‑handelssajter","USE_CASE_REVIEWS_TITLE":"Recensions- och sentimentanalys","USE_CASE_REVIEWS_DESC":"Samla kundfeedback genom att scrapa plattformar som Trustpilot eller Trusted Shops. Analysera sentiment och identifiera vanliga teman för att förstå marknaden.","USE_CASE_REVIEWS_LINK":"Guide till att scrapa Trustpilot","USE_CASE_RESEARCH_TITLE":"Automatiserad marknadsundersökning","USE_CASE_RESEARCH_DESC":"Automatisera repetitiva Google-sökningar för varje rad i ditt kalkylblad. Bevaka konkurrentnyheter, följ branschtrender eller samla data till rapporter utan manuellt arbete.","USE_CASE_RESEARCH_LINK":"Lär dig automatisera Google-sökningar","VIDEO_TITLE":"Se AI Agent i aktion","VIDEO_TEXT":"Se hur AI Agent kan besöka en lista med tyska webbplatser, hitta sidan \"Impressum\" och extrahera strukturerad kontaktinformation – en uppgift som är omöjlig för traditionella scraping-verktyg.","TALK_TO_US_TEXT":"Redo att sätta din research på webben på autopilot? Prova AI Agent och börja omvandla ostrukturerad webbdata till insikter du kan agera på.","CSV_EDITOR_DESCRIPTION":"En modern CSV‑editor för att hantera dina CSV‑filer online. Öppna och redigera din data direkt i webbläsaren","LEAD_LIST_BUILDING":"Bygg, städa och berika dina leadlistor","LEAD_BUILDING_DESCRIPTION":"Det bästa verktyget för att borra i stora leadlistor. Organisera, berika och hitta de perfekta prospekten."},"FeatAIEditing":{"PAGE_TITLE":"AI Editing: Automatisera Excel- och CSV-uppgifter med prompts","PAGE_DESC":"Ersätt komplexa formler och makron. Använd enkla prompts för att rensa, transformera och analysera dina data i stor skala med Datablists AI Editing-funktion.","HERO_TITLE":"Automatisera kalkylbladsuppgifter med AI","DESCRIPTION":"Sluta brottas med komplexa formler. Beskriv bara vad du behöver på enkel engelska, och låt vår AI generera det perfekta skriptet för att rensa, transformera och analysera dina data på några sekunder.","FEATURE":"Funktion","UNLIMITED":"Obegränsad användning","100%ONLINE":"100% online","NO_CODE":"No Code","REPLACE_FORMULAS_TITLE":"Ersätt formler med enkla prompts","REPLACE_FORMULAS_DESC_1":"Trött på att slå upp VLOOKUP-syntax eller felsöka komplexa Excel-formler? Med AI Editing kan du säga hejdå till frustrationen kring formler.","REPLACE_FORMULAS_DESC_2":"Skriv bara vad du vill göra, så genererar vår AI omedelbart ett skräddarsytt skript som hanterar uppgiften. Det är som att ha en dataexpert vid din sida, redo att automatisera vilken bearbetning som helst.","REPLACE_FORMULAS_DESC_3":"Vare sig du rensar företagsnamn, standardiserar adresser eller gör lead scoring, omvandlar AI Editing dina instruktioner till handling.","HOW_IT_WORKS_TITLE":"Så fungerar det: Från prompt till perfekta data i 4 steg","STEP_1_TITLE":"1. Importera dina data","STEP_1_DESC":"Ladda upp din CSV- eller Excel-fil till Datablist. Vår plattform hanterar stora datamängder utan problem så att du kan arbeta med hela din lista på en gång.","STEP_2_TITLE":"2. Öppna AI Editing","STEP_2_DESC":"Navigera till menyn 'Edit' och välj 'AI Editing'. Detta öppnar prompt-gränssnittet där magin sker.","STEP_3_TITLE":"3. Skriv din prompt","STEP_3_DESC":"Beskriv uppgiften du vill utföra. Använd variabler genom att skriva /ColumnName för att referera till dina data. Var så specifik du behöver!","STEP_4_TITLE":"4. Förhandsgranska och kör","STEP_4_DESC":"AI genererar ett skript och visar en live-förhandsgranskning av ändringarna. Om det ser rätt ut, klicka på 'Run' för att behandla hela din lista direkt.","USE_CASES_TITLE":"Lås upp kraftfulla användningsfall","USE_CASE_FIND_REPLACE_TITLE":"Sök och ersätt i bulk","USE_CASE_FIND_REPLACE_DESC":"Ersätt hundratals termer i hela din datamängd med en enda instruktion. Perfekt för att standardisera kategorier, rätta vanliga stavfel eller uppdatera produktinformation.","USE_CASE_FIND_REPLACE_LINK":"Läs mer om sök och ersätt i bulk","USE_CASE_CLEANING_TITLE":"Avancerad datarensning","USE_CASE_CLEANING_DESC":"Rensa och normalisera komplexa data som företagsnamn genom att ta bort juridiska suffix (LLC, Inc.) eller standardisera befattningar och adresser.","USE_CASE_CLEANING_LINK":"Se hur du rensar företagsnamn","USE_CASE_SCORING_TITLE":"Anpassad lead scoring och data scoring","USE_CASE_SCORING_DESC":"Skapa avancerade scoring-modeller baserade på flera kriterier från dina data. Tilldela poäng, rangordna leads och prioritera dina listor utan en enda formel.","USE_CASE_SCORING_LINK":"Lär dig göra lead scoring med AI","USE_CASE_TRANSFORM_TITLE":"Komplex datatransformering","USE_CASE_TRANSFORM_DESC":"Från att extrahera specifika delar av en text till att utföra villkorslogik, hanterar AI Editing transformationer som är nästintill omöjliga med standardfunktioner i kalkylblad.","USE_CASE_TRANSFORM_LINK":"Se fler exempel på datarensning","VIDEO_TITLE":"Se AI Editing i praktiken","LEAD_BUILDING_DESCRIPTION":"Det bästa verktyget för att fördjupa sig i stora lead-listor. Organisera, berika och hitta rätt prospekt.","VIDEO_TEXT":"Se hur du uppdaterar katalogenheter med en enkel prompt. Inga formler, inget krångel.","TALK_TO_US_TEXT":"Redo att sluta slösa tid på manuella kalkylbladsuppgifter? Testa AI Editing och transformera ditt data workflow redan idag!","CSV_EDITOR_DESCRIPTION":"En modern CSV-editor för att hantera dina CSV-filer online. Öppna och redigera dina data direkt i webbläsaren","LEAD_LIST_BUILDING":"Bygg, rensa och berika dina lead-listor","SEE_ALSO":"Se även"},"FeatCombine":{"PAGE_TITLE":"Konsolidera och slå ihop CSV-filer gratis","PAGE_DESC":"Sammanfoga dina CSV-listor baserat på en gemensam identifierare (kolumn).","FEATURE":"Funktion","NOSIGNUP":"Ingen registrering krävs","100%ONLINE":"100 % online","EASY_TO_USE":"Enkelt att använda","HERO_TITLE":"Konsolidera och slå ihop CSV-filer gratis","HERO_DESC":"Sammanfoga dina CSV-listor baserat på en gemensam identifierare (kolumn).","DATA_RECONCILIATION_DEF":"Vad är dataavstämning?","DATA_RECONCILIATION_DEF_DESC_1":"Dataavstämning är processen att jämföra och samköra data från olika källor. Denna process sker typiskt när det finns flera datakällor med relaterad information.","DATA_RECONCILIATION_DEF_DESC_2":"Dessa källor kan vara databaser, kalkylblad, mjukvarusystem eller till och med manuella register. Målet är att stämma av datan för att skapa en enhetlig, tillförlitlig och konsekvent datamängd.","DATA_RECONCILIATION_DEF_DESC_3":"Dataavstämning ger värdefulla insikter för beslutsfattande eftersom den knyter ihop utspridd data. Det används ofta inom redovisning, lagerhantering, marknadsföring osv.","JOIN_TITLE":"Sammanfoga dina CSV-filer till en enda samling","JOIN_DESC_1":"Google Sheets eller Microsoft Excel är bra verktyg för bokföringsuppgifter men saknar funktioner för datahantering. Andra specialiserade verktyg finns för data scientists, såsom ETL (Extract, Transform, Load), men de är inte tillgängliga för icke-tekniska användare.","JOIN_DESC_2":"I Datablist anger du bara vilken egenskap som ska användas för att konsolidera dina CSV-filer, så sköter verktyget resten.","SEE_TUTO":"Se guide","TALK_TO_US_TEXT":"Testa Datablist och se hur enkel listkonsolidering kan vara. 18 000+ användare upplever det redan!","MERGE_TITLE":"Slå ihop data från flera källor","MERGE_DESC_1":"I en digital värld är hantering av listor en vanlig uppgift. Oavsett om du:","MERGE_EX_1":"Bygger en samlad vy av dina kunder","MERGE_EX_2":"Skapar en lista över prospekt från flera källor","MERGE_EX_3":"Berikar en e-postlista med kontaktinformation","MERGE_DESC_2":"Du behöver ett verktyg som Datablist för att slå ihop och hantera din data.","WHEN_COMBINE_DATA":"När ska man kombinera datafiler?","WHEN_COMBINE_TITLE_1":"Konsolidera kundfiler","WHEN_COMBINE_DESC_1":"Att konsolidera kundfiler är avgörande för att skapa en samlad vy av dina kunder. När företag interagerar med kunder via olika touchpoints, såsom försäljning, marknadsföring, kundsupport och onlineplattformar, sprids värdefull data över olika system och databaser. Sammanfoga kunddata med deras emailadress eller annan unik identifierare. Då får alla dina team, till exempel marknadsföring, försäljning och kundservice, tillgång till denna enhetliga och heltäckande vy.","WHEN_COMBINE_TITLE_2":"Berika orderdata med produktkataloger","WHEN_COMBINE_DESC_2":"Inom e-handel hanterar du två huvudlistor: en produktlista och en orderlista. Orderlistan refererar till den köpta produkten. Att konsolidera dina produktattribut med din orderlista ger insikter från försäljningen, till exempel vilka huvudkategorier som säljs. Du kan även konsolidera annan extern data, till exempel trafikstatistik från din webbplats.","WHEN_COMBINE_TITLE_3":"Aggregera företagsdata för att bygga din prospektlista","WHEN_COMBINE_DESC_3":"När du bygger din prospektlista gäller: ju mer data du har om företagen, desto mer kan du segmentera dina prospekt. Datakonsolidering är användbar för att <doc>berika din prospektlista</doc> med externa datakällor. Antal anställda, senaste finansieringsrunda, intäkter och uppskattning av webbtrafik. Med korrekt och aktuell information om potentiella prospekt förbättrar du ditt lead scoring och minskar tiden som läggs på ej kvalificerade prospekt.","WHEN_COMBINE_LINK_3":"Läs mer om att bygga prospektlistor","WHEN_COMBINE_TITLE_4":"Berika leads med marknadsdata","WHEN_COMBINE_DESC_4":"Genom att samla data från olika källor, som webbanalys, mätetal i sociala medier och kundinteraktioner, får företag en helhetsbild av sin målgrupp. Ett perfekt användningsområde för datakonsolidering är att använda resultat från email-kampanjer i din leads-lista. Lyft fram de leads som öppnar eller klickar på ditt email för att rikta in dem via andra kanaler som LinkedIn eller andra sociala nätverk. Genom att berika leads med konsoliderad data förbättrar du dina konverteringar och undviker att lägga tid och pengar på ointresserade leads."},"FeatDuplicates":{"PAGE_TITLE":"Gratis verktyg för deduplicering","PAGE_DESC":"Ta bort dubbletter i dina listor baserat på en eller flera kolumner. No-Code-konfiguration och enkelt att använda även för icke-tekniska användare.","SEE_ALSO":"Se även","LEARN_MORE":"Läs mer","GET_STARTED":"Kom igång!","FEATURE":"Funktion","NOSIGNUP":"Ingen registrering krävs","100%ONLINE":"100% online","EASY_TO_USE":"Enkelt att använda","NO_TECHNICAL_REQUIRED":"Ingen teknisk kunskap krävs","NOCODE_CONF":"No-Code-konfiguration","EXPORT_CSV_TITLE":"Exportera till CSV- eller Excel-filer","EXPORT_CSV_DESC_1":"Behöver du föra över dina data till en annan applikation eller ett kalkylark?","EXPORT_CSV_DESC_2":"<0>Dina data är alltid dina</0>, exportera bara valda poster eller hela din samling till en CSV-fil eller en Microsoft Excel-fil.","EXPORT_CSV_DESC_3":"Genererade CSV-filer är kompatibla med Google Sheets och alla vanliga applikationer.","OK_GO":"Ok, kör!","RESOURCES":"Resurser","AI_TITLE":"AI-bearbetning av dubbletter","AI_TEXT":"Generera ny data, redigera befintlig information och bygg system från grunden med enkla prompts.","CSV_EDITOR_DESCRIPTION":"En modern CSV-redigerare för att hantera dina CSV-filer online. Öppna och redigera dina data direkt i webbläsaren","LEAD_BUILDING_DESCRIPTION":"Det bästa verktyget för att bearbeta stora leadlistor. Organisera, berika och hitta rätt prospekt.","COMBINE_DESCRIPTION":"Kombinera listfiler från flera källor till en enda samling. Enkelt att använda även för icke-tekniska användare.","TALK_TO_US_TEXT":"Testa Datablist och se hur enkelt datamatchning och deduplicering av poster kan vara. 18 000+ användare har redan upptäckt det!","HERO_TITLE":"Gratis verktyg för att ta bort dubbletter","DESCRIPTION":"Äntligen ett lättanvänt alternativ till Excel för deduplicering av data. Hitta, slå samman eller ta bort dubblettvärden i CSV- eller Excel-filer.","DEDUPLICATION_DEF_TITLE":"Vad är deduplicering av data?","DEDUPLICATION_DEF_DESC_1":"Deduplicering av data, eller <doc>deduping</doc>, är processen att eliminera dubblettposter från ett dataset.","DEDUPLICATION_DEF_DESC_2":"Deduping krävs för att ha en lista med unika poster. Inom marknadsföring med e-postlistor, i lead generation, eller kundhantering. Eller i e‑handel när produktkataloger hanteras. Två poster är dubbletter när de hänvisar till samma entitet. Två leads med samma emailadress, eller två produkter med samma streckkod.","DEDUPLICATION_DEF_DESC_3":"Dubbletter påverkar kvaliteten på dina data och sänker din produktivitet. Det finns två sätt att bli av med dubbletter: ta bort dem, eller slå samman liknande poster till en enda.","DEDUPLICATION_DEF_DESC_4":"Att ta bort dubbletter är enkelt, dedupliceringsalgoritmen hittar dubblettposterna och raderar alla utom en. Att slå samman dubbletter kräver att de analyseras för att kombinera dem till en enda huvudpost.","DUPLICATES_MODE_TITLE":"Fullständig eller partiell analys av poster, på en eller flera datasamlingar","DUPLICATES_MODE_DESC_1":"Datablist Duplicates Finder fungerar med fullständig jämförelse av poster eller med valda fält.","DUPLICATES_MODE_DESC_2":"Använd läget Valda fält för att hitta dubblettkontakter baserat på deras emailadress eller för att upptäcka dubbletter i en företagslista med deras webbplats-URL.","DUPLICATES_MODE_DESC_3":"Datablist Duplicates Finder fungerar med en eller flera listor. På flera listor använder dedupliceringsalgoritmen fältmappning för att jämföra poster mellan dina dataset.","MERGE_TITLE":"Ta bort eller konsolidera dubbletter","DUPLICATES_PREVIEW_TITLE":"Förhandsgranska dubbletter","DUPLICATES_PREVIEW_DESC_1":"Datablist listar de dubbletter som hittats så att du kan bestämma vilken åtgärd som ska utföras.","DUPLICATES_PREVIEW_DESC_2":"Öppna dubblettposterna i detaljpanelen för att redigera och slå samman information. Eller ta helt enkelt bort dubbletterna.","DUPLICATES_AUTO_MERGING_TITLE":"Slå samman icke-konfliktande dubbletter automatiskt","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist hittar automatiskt alla dubblettvärden som kan slås samman utan att förlora information.","DUPLICATES_AUTO_MERGING_BULLET_1":"När alla dubblettposter har samma fältvärden behålls endast en post och de andra raderas.","DUPLICATES_AUTO_MERGING_BULLET_2":"Om dubblettposterna är kompletterande väljs posten med mest information som primärpost och dess fältvärden fylls på med värden från de andra posterna. Därefter raderas alla poster utom primärposten.","DUPLICATES_AUTO_MERGING_BULLET_3":"Om dubblettposter har konfliktande fältvärden hoppas de över för manuell sammanslagning.","MERGING_ASSISTANT_TITLE":"Eller granska konfliktande värden manuellt med sammanslagningsassistenten","MERGING_ASSISTANT_DESC_1":"När automatisk sammanslagning inte är möjlig använder du Datablists sammanslagningsassistent för att välja vilket värde som ska behållas och konsolidera dina poster.","MERGING_ASSISTANT_DESC_2":"Posten med mest information väljs som huvudpost och får kompletterande värden från sekundära poster.","DUPLICATES_DEDUPE_TITLE":"Lättanvänt DeDupe-verktyg","DUPLICATES_DEDUPE_DESC_0":"Dagens dedupliceringsverktyg riktar sig till tekniska användare. De är svåra att använda med oändliga konfigurationsinställningar.","DUPLICATES_DEDUPE_DESC_1":"Med Datablist blir datamanipulation enkelt! Deduplicering av data är äntligen tillgängligt för alla.","DUPLICATES_DEDUPE_DESC_2":"Deduplicera hundratusentals poster direkt i din webbläsare.","DUPLICATES_AUTO_MERGE_TITLE":"Automatisk sammanslagning vid import","DUPLICATES_AUTO_MERGE_DESC_1":"Utöver Duplicates Finder kan du aktivera inställningen 'Unika värden' på dina samlingsfält.","DUPLICATES_AUTO_MERGE_DESC_2":"Vid dataimport, när en post från den importerade filen redan finns i samlingen eller någon annanstans i filen, slås data samman eller tas bort enligt vald sammanslagningsmetod.","DATA_DEDUP_WHEN_TITLE":"När ska du använda deduplicering av data?","DATA_DEDUP_WHEN_MAIL_TITLE":"Deduplicering av e-postlistor","DATA_DEDUP_WHEN_MAIL_DESC_1":"Med tiden kommer flera källor att matas in i din e‑postlista. Med webbinariedeltagare, köpare, freemium‑användare osv. kan en emailadress förekomma flera gånger i din e‑postlista.","DATA_DEDUP_WHEN_MAIL_DESC_2":"Dubbletta emailadresser påverkar dina marknadsföringskampanjer med extra kostnader, spamliknande beteende och risken för frustration hos användare om de fortsätter få utskick efter att de avslutat prenumerationen på en kampanj.","DATA_DEDUP_WHEN_MAIL_LINK":"Hur du rensar en e‑postlista","DATA_DEDUP_WHEN_EXCEL_TITLE":"Deduplicering i Microsoft Excel","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets, Microsoft Excel och andra kalkylbladsverktyg erbjuder grundläggande dedupliceringsfunktioner. De markerar dubblettvärden i en kolumn eller tar bort dem. Använd Datablists automatiska sammanslagning och den manuella sammanslagningsassistenten för att hantera komplexa dubblettposter.","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist öppnar både CSV- och Excel-filer.","DATA_DEDUP_WHEN_EXCEL_LINK":"Hur du tar bort dubbletter i en Excel-fil","DATA_DEDUP_WHEN_LEAD_TITLE":"Deduplicering av leads och prospekt","DATA_DEDUP_WHEN_LEAD_DESC_1":"Inom B2B‑marknadsföring påverkar kvaliteten på din prospektdatabas resultaten av dina kampanjer. En smutsig datalista med <doc>dubblett‑leads</doc> ökar lagringskostnaderna, minskar effektiviteten i leadspårning och skapar frustration i säljteamet.","DATA_DEDUP_WHEN_LEAD_DESC_2":"Hantera dina <doc>lead generation</doc>-processer med Datablist. Eller importera dina CRM‑data eller leadlistor till Datablist för att rensa dem.","DATA_DEDUP_WHEN_LEAD_LINK":"Hur du deduplicerar leadlistor","DATA_DEDUP_WHEN_CSV_TITLE":"Deduplicera CSV-filer","DATA_DEDUP_WHEN_CSV_DESC_1":"Att rensa CSV‑data är tidskrävande. Data engineers använder programmeringsspråk som Python för att parsa och rensa CSV‑data. Datablist erbjuder ett No-Code‑verktyg för att utföra datarensning med dina <a1>CSV-filer</a1> för icke-tekniska användare. <a2>Öppna CSV‑filer med hundratusentals rader</a2> och deduplicera poster snabbt.","DATA_DEDUP_WHEN_CSV_LINK":"Hur du tar bort dubbletter i en CSV-fil","SEE_ALSO_CSV_EDITOR":"CSV-redigerare","SEE_ALSO_GUIDE_EXCEL":"Guide: Slå ihop dubblettrader i en Excel-fil utan att förlora data","SEE_ALSO_GUIDE":"Guide: Ta bort dubbletter i CSV","SEE_ALSO_GUIDE_LARGE_CSV":"Guide: Redigera stora CSV-filer online","SEE_ALSO_COMBINE":"Kombinera CSV-filer","LEAD_LIST_BUILDING":"Bygg, rensa och berika dina leadlistor","FIND_DUPLICATE_ONLINE_TITLE":"Hitta och ta bort dubbletter online","FIND_DUPLICATE_ONLINE_DESC_1":"Upptäck, slå samman och eliminera dubbletter i dina data direkt. Med ett användarvänligt webbgränssnitt har du enkel åtkomst från alla enheter, utan krångliga installationer.","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist använder avancerade algoritmer för att snabbt identifiera dubbletter, vilket sparar tid och förhindrar fel. Säg hejdå till manuella sökningar och välkomna ett strömlinjeformat workflow.","FUZZY_MATCHING_TITLE":"Deduplicering med fuzzy matchning","FUZZY_MATCHING_ONLINE_DESC_1":"Fuzzy‑dedupliceringsalgoritmer bestämmer avståndet mellan poster. Med en tröskel definierar du när två poster är lika. Till skillnad från exakt matchning identifierar <0>fuzzy matchning</0> intelligenta variationer, och hanterar stavfel, förkortningar och små skillnader i dina poster.","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist implementerar <0>Levenshtein</0> och <1>Jaro‑Winkler</1>-avståndsalgoritmerna.","CONSOLIDATE_DUPES_TITLE":"Konsolidera dubbletter för att behålla en enda post","CONSOLIDATE_DUPES_DESC_1":"När en enkel sammanslagning inte räcker använder du de avancerade funktionerna: kombinera eller ta bort dubblettvärden för att konsolidera dina dubblettposter.","CONSOLIDATE_DUPES_DESC_2":"Datablist listar dina konfliktfält och låter dig välja hur du ska hantera dem. Använd Kombinera värden för datasammanfogning. Och Ta bort värden för att behålla värdet från en vald huvudpost.","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"Använd Datablists AI Agent för att skrapa vilken webbplats som helst, automatisera Google‑sökningar och extrahera strukturerad data med enkla prompts. Ingen kod krävs.","FAQ_Q1":"Är Duplicates Finder gratis att använda?","FAQ_A1":"Ja, du kan hitta och slå samman dubbletter online gratis. Grundfunktioner som exakt och smart matchning är tillgängliga utan konto. För avancerade algoritmer som fuzzy eller fonetisk matchning krävs en betald plan.","FAQ_Q2":"Hur skiljer det här sig från Excels 'Remove Duplicates'-funktion?","FAQ_A2":"Excel raderar permanent dubblettrader, vilket gör att du kan förlora potentiellt värdefull data från de posterna. Datablist slår samman poster och kombinerar intelligent kompletterande information från alla dubbletter till en enda komplett huvudpost. Du förlorar ingen data.","FAQ_Q3":"Hur stor lista kan jag deduplicera?","FAQ_A3":"Datablist är byggt för att hantera stora filer. Du kan bearbeta listor med upp till 1 miljon rader på gratisplanen och upp till 1,5 miljoner rader på våra betalda planer, långt över gränserna för traditionella kalkylbladsverktyg.","FAQ_Q4":"Kan den hitta dubbletter med stavfel eller små variationer?","FAQ_A4":"Absolut. Vårt verktyg använder avancerade fuzzy‑matchningsalgoritmer, som Levenshtein- och Jaro‑Winkler‑avstånd, för att identifiera liknande poster även med felstavningar eller små formateringsskillnader.","FAQ_Q5":"Hur hanteras fält med flera värden, till exempel två emails i en cell?","FAQ_A5":"Det är byggt för just det. Du kan aktivera \"Multiple Value Matching\" för att behandla varje värde i en cell (avgränsade med semikolon) som en separat post för jämförelse. Den hittar en träff om minst ett av värdena är en dubblett.","FAQ_Q6":"Kan jag hitta dubbletter över flera CSV- eller Excel-filer?","FAQ_A6":"Ja. Du kan importera flera filer till Datablist och köra Duplicates Finder över alla. Den kan matcha poster baserat på en gemensam identifierare, även om filerna har olika kolumner eller strukturer.","FAQ_Q7":"Behöver jag kunna koda för att använda det?","FAQ_A7":"Inte alls. Datablist är en helt no-code-lösning. Duplicates Finder guidar dig genom en enkel steg‑för‑steg‑process där du väljer dina kolumner och matchningsregler via ett användarvänligt gränssnitt.","FAQ_Q8":"Hur kan AI hjälpa till med att slå samman dubbletter?","FAQ_A8":"Vår AI Editing‑funktion ger dig obegränsad flexibilitet. Istället för standardregler för sammanslagning kan du skriva instruktioner på enkel engelska. Be till exempel att summera försäljningssiffror från dubblettposter eller välja huvudposten baserat på det senaste datumet. Det omvandlar komplex logik till en enkel begäran.","FAQ_Q9":"Vad händer med mina data när jag slår samman dubbletter?","FAQ_A9":"Datablist konsoliderar dina data till en enda huvudpost. Den fyller automatiskt i saknad information från andra dubbletter och ger alternativ för konfliktande data: du kan kombinera text från olika rader eller välja vilket värde som ska behållas. De redundanta posterna raderas sedan.","FAQ_Q10":"Vilka matchningsalgoritmer finns tillgängliga?","FAQ_A10":"Vi erbjuder flera algoritmer för olika behov: 'Exact' för identiska träffar, 'Smart' för variationer som ordföljd eller URL‑protokoll, 'Phonetic' för namn som låter lika och 'Fuzzy Matching' för stavfel och misskrivningar.","FAQ_Q11":"Kan jag exportera listan över dubblettgrupper för att granska dem innan sammanslagning?","FAQ_A11":"Ja. Efter att Datablist har identifierat alla dubblettgrupper kan du exportera dem till en CSV- eller Excel‑fil innan du gör några ändringar. Den här filen listar alla dubblettposter i följd, med varje grupp listad efter varandra, vilket gör det enkelt att granska dem externt eller bearbeta dem i ett annat verktyg.","FAQ_Q12":"När jag har slagit samman dubbletter i Datablist, hur uppdaterar jag mitt CRM?","FAQ_A12":"När du är klar med sammanslagningen tillhandahåller Datablist en nedladdningsbar 'Changes List'. Den här filen fungerar som en logg och visar varje post som uppdaterades eller raderades under processen. Du kan använda filen för att enkelt replikera ändringarna i ditt externa system, till exempel ett CRM, så att dina data förblir perfekt synkade."},"CSVEditor":{"PAGE_TITLE":"Gratis online CSV-editor och visare","PAGE_DESC":"En modern CSV-editor för att hantera dina CSV-filer online. Öppna och redigera dina data direkt i webbläsaren","HEADER_TITLE":"Online CSV-editor och visare","HEADER_DESC_1":"Utforska och redigera dina CSV-filer för leads, kunder eller produkter online.","NO_SIGNUP":"Ingen registrering krävs","ONLINE_100":"100 % online","NO_CODE_CONFIG":"No-code-konfiguration","CSV_DEF_TITLE":"Vad är en CSV-fil?","CSV_DEF_DESC_1":"CSV står för 'Comma Separated Value(s)' och är ett format för att lagra strukturerad data i textfiler. I en CSV-fil är varje rad en datapost, och varje post består av fält separerade med kommatecken (eller ibland semikolon ';' eller tabbtecken).","CSV_DEF_DESC_2":"CSV-filer är ett vanligt sätt att överföra data mellan applikationer. Eftersom det bygger på textfiler är CSV-formatet ett enkelt sätt att exportera data från databaser eller kalkylblad.","EDIT_TITLE":"Öppna CSV-filer online","EDIT_DESC_1":"Ladda upp dina CSV-filer direkt i din webbläsare. Datablist CSV Editor identifierar automatiskt kolumnavgränsaren i CSV-filen.","EDIT_DESC_2":"Välj vilka CSV-kolumner som ska importeras och ange datatyper: Text, LongText, Datum, Tal, emailadress, etc.","EDIT_DESC_3":"När de har importerats kan du använda Datablist för att sortera på valfri egenskap och filtrera dina data med fulltextsökning.","DATA_MANIP_TITLE":"Rensa och konsolidera dina CSV-filer","DATA_MANIP_DESC":"Sluta använda Excel eller Google Sheets för datamanipulation 😱!","WHY_USE_CSV_TITLE":"Varför använda Datablists CSV-editor?","WHY_USE_CSV_BLOC_TITLE_1":"Rensa din mailinglista","WHY_USE_CSV_BLOC_DESC_1":"Emaillistor är ett perfekt sätt att nå din användarbas. Men med tiden blir en lista rörig. Förbättra leveransbarheten och spara pengar med Datablist. Ta enkelt bort dubletter och ogiltiga emailadresser.","WHY_USE_CSV_BLOC_TITLE_2":"Hantera dina produktkataloger","WHY_USE_CSV_BLOC_DESC_2":"Alla e-handelsverktyg stöder import/export av produktkataloger med CSV-filer. Oavsett om du vill rensa din produktkatalog innan du skickar den till Google Shopping, eller konsolidera flera butiker till en gemensam samling, är Datablist anpassat för hantering av listningar.","WHY_USE_CSV_BLOC_TITLE_3":"Berika dina leads","WHY_USE_CSV_BLOC_DESC_3":"Har du en prospektlista som du vill berika med emailadresser, befattningar, LinkedIn-profiler etc.? CRM-verktyg är utmärkta för att spåra och berika leads när de har visat intresse. Men för prospect list building och lead scoring i stor skala finns det begränsningar. Datablist är ett perfekt verktyg för att spåra prospekt.","WHY_USE_CSV_BLOC_TITLE_4":"Spåra dina SEO-nyckelord","WHY_USE_CSV_BLOC_DESC_4":"Bygger du en SEO-strategi? Använd Datablist för att spara dina SEO-nyckelord, lista dina konkurrenter, analysera månatlig sökvolym och svårighetsgrad för nyckelord. Skriv ner idéer till blogginlägg och följ konkurrenters blogginlägg att bevaka.","CSV_CLEANER_TITLE":"CSV-rensare","CSV_CLEANER_DESCRIPTION":"CSV-filer kan vara benägna att innehålla fel, inkonsekvenser och formateringsproblem, vilket gör dem svåra att arbeta med och analysera. CSV-rensning innebär att upptäcka och åtgärda dessa problem i en CSV-fil så att datan blir korrekt, konsekvent och rätt formaterad.","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSV-deduplicering","CSV_CLEANER_TITLE_BLOC_DESC_1":"Deduplicering av data är en viktig del av CSV-rensning. Med Datablist Duplicates Finder kan du jämföra data baserat på alla tillgängliga kolumner eller välja specifika kolumner för jämförelse. Med sin avancerade algoritm kan verktyget snabbt skanna även stora dataset och identifiera dubletter på några sekunder. Förutom att identifiera dubbla poster i dina CSV-filer erbjuder Datablist Duplicates Finder en kraftfull sammanslagningsfunktion. Den konsoliderar dubbla poster till en enda, korrekt post.","CSV_CLEANER_TITLE_BLOC_TITLE_3":"Konvertera datatyper","CSV_CLEANER_TITLE_BLOC_DESC_3":"Att konvertera datatyper är en vanlig uppgift vid CSV-rensning. Det säkerställer noggrannhet och konsekvens genom att omvandla datavärden till standardiserade format. Med datatypkonvertering kan du ändra formatet på värden i din CSV för att matcha specifika datatyper, såsom DateTime, Tal eller boolesk. Datatypkonvertering är viktigt för att filtrera din CSV och omvandla din strängdata till standardiserade format som kan importeras till andra verktyg.","CSV_CLEANER_TITLE_BLOC_TITLE_6":"Rensa HTML-taggar och ta bort symboler","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablist har ett inbyggt rensningsverktyg för att konvertera HTML-kod med taggar till vanlig text. Andra rensningsverktyg inkluderar att ta bort emojis och symboler från texter samt att ta bort onödiga blanksteg. Med alla dessa rensningsverktyg kan du förbättra läsbarhet och användbarhet i dina data. Genom att ta bort onödigt brus och symboler blir dina data tydligare och mer koncisa.","CSV_CLEANER_TITLE_BLOC_TITLE_7":"Sök och ersätt","CSV_CLEANER_TITLE_BLOC_DESC_7":"Verktyget 'Sök och ersätt' är perfekt för datarensning. Sök efter specifika värden eller mönster och ersätt dem med korrekta eller önskade värden. Det hjälper till att rätta stavfel, formateringsinkonsekvenser eller andra inmatningsfel som kan förekomma i dina data. Använd det för standardisering av dina data. Sök efter olika varianter eller format av ett specifikt värde och ersätt dem med ett standardiserat format.","CSV_MANIPULATION_TITLE":"Ett kraftfullt verktyg för CSV-manipulation","CSV_MANIPULATION_BLOC_TITLE_1":"Bulk Edit","CSV_MANIPULATION_BLOC_DESC_1":"Datablist Bulk Edit förenklar CSV-rensningsprocessen. Gör ändringar i flera objekt på en gång. Tillämpa ändringar på hela samlingar, redigera filtrerade objekt eller bulkredigera valda objekt. Det är ett mycket effektivt verktyg för att hantera och uppdatera stora dataset. Med Datablist Bulk Edit kan du standardisera dina data. Använd konsekvent formatering och värden för alla relevanta poster.","CSV_MANIPULATION_BLOC_TITLE_2":"Skriv JavaScript-kod för datamanipulation","CSV_MANIPULATION_BLOC_DESC_2":"JavaScript är ett kraftfullt språk som kan användas direkt i Datablist för att rensa dina data. En av de stora fördelarna med att använda JavaScript för CSV-rensning är flexibiliteten. Kalkylbladsverktyg använder formler som kan bli komplexa och långsamma. Med JavaScript kan du skapa skript som utför allt från enkel formatering och datatypkonvertering till mer avancerade datatransformationer och analyser.","CSV_MANIPULATION_BLOC_TITLE_3":"Dela upp och slå samman CSV-kolumner","CSV_MANIPULATION_BLOC_DESC_3":"Att dela upp och slå samman CSV-kolumner är en användbar teknik för CSV-rensning. Det hjälper dig att strukturera och organisera dina data på ett mer meningsfullt sätt. Om du till exempel har en enda kolumn som innehåller flera datavärden separerade av en avgränsare, till exempel ett kommatecken eller ett semikolon, kan du dela upp kolumnen i flera kolumner baserat på avgränsaren.","CSV_MANIPULATION_TITLE_4":"Samkör dina data från flera CSV-filer","CSV_MANIPULATION_DESC_4":"Samkörning av data är enkelt med Datablist. Importera dina datakällor till flera samlingar. Välj sedan gemensamma identifierare mellan listorna för att slå ihop dem. Datablist har alternativen 'FULL OUTER JOIN' och 'LEFT OUTER JOIN' för join. Du kan konfigurera hur motstridig data ska slås samman. Hoppa över eller slå samman den importerade datan.","CSV_ONLINE_EDITOR":"En online men ändå kraftfull CSV-editor","CSV_ONLINE_EDITOR_DESC_1":"Andra online-CSV-editorer erbjuder bara enkla funktioner för att öppna och visa CSV-filer – och oftast är de fullproppade med annonser. Datablist är en online CSV-editor som ändå ger kraftfulla funktioner för att öppna stora CSV-filer utan att installera någon app på din dator. Den utnyttjar webbläsarens kapacitet för att lagra och bearbeta data.","CSV_ONLINE_EDITOR_DESC_2":"Du kan skapa en ny CSV-fil från grunden, parsa externa CSV-filer eller öppna Excel-filer. När de är öppnade använder du det inbyggda filter- och sorteringsverktyget för att utforska dina data. Eller rensa och redigera dina CSV-data. All datamanipulation är tillgänglig via ett lättanvänt gränssnitt direkt i din webbläsare.","CROSS_OS_TITLE":"En CSV-editor för Windows, Mac OS och Linux","CROSS_OS_DESC_1":"Datablist CSV Editor är kompatibel med alla plattformar och operativsystem. Öppna dina CSV-filer online på Microsoft Windows, Mac OS och Linux","CROSS_OS_DESC_2":"Genom att utnyttja kraften i moderna webbläsartekniker river vår app plattformsbarriärer. Dina data läses in i en lokal databas som körs i din webbläsare. Med Molnsynkronisering håller Datablist dina data synkade i molnet och mellan dina teammedlemmar.","PARSE_ONLINE_TITLE":"Parsa och ändra CSV-filer online","PARSE_ONLINE_DESC_1":"Parsa och ändra CSV-filer online med vår intuitiva app, med blixtsnabb prestanda. Parsa, extrahera och organisera data från dina CSV- och Excel-filer, allt i ett användarvänligt webbgränssnitt.","PARSE_ONLINE_DESC_2":"Säg hej då till komplexa installationer eller kompatibilitetsproblem. Datablist säkerställer smidig CSV-parsning från vilken enhet som helst med internetuppkoppling.","PARSE_ONLINE_DESC_3":"Datablist parsar stora CSV-filer på några sekunder så att du snabbt kan börja få värdefulla insikter.","PARSE_ONLINE_DESC_4":"Ändra dina CSV-data direkt i Datablist och exportera till CSV eller Microsoft Excel-format.","SEE_ALSO":"Se även","DATA_EDITOR":"Online dataeditor","DATA_EDITOR_DESC":"Kraftfull online-dataeditor för att hantera och manipulera olika dataformat utöver CSV-filer.","DUPLICATES_REMOVER":"Dublettrensare","DUPLICATES_REMOVER_DESC":"Avancerat verktyg för att upptäcka och ta bort dubletter med fuzzy-matchning och sammanslagningsmöjligheter.","COMBINE_CSV":"Kombinera CSV-filer","COMBINE_CSV_DESC":"Slå ihop och konsolidera flera CSV-filer med hjälp av gemensamma identifierare och join-operationer.","EMAIL_CLEANING":"Rensning av email-listor","EMAIL_CLEANING_DESC":"Rensa och validera email-listor för att förbättra leveransbarhet och minska bounce rate.","WHY_USE_CSV_BLOC_LINK_1":"Hur du rensar en email-lista","PROSPECT_LIST_BUILDING":"Prospect list building","GUIDE_DATA_CLEANING":"Läs vår guide om datarensning","INVENTORY_MANAGEMENT_LINK":"Hantera lager och leverantörsflöden för din onlinebutik","DUPLICATES_FINDER_LINK":"Hitta och slå samman dubbla poster","AI_EDITING_LINK":"Skapa datatransformationsskript med AI"},"DataEditor":{"PAGE_TITLE":"Online dataeditor ","PAGE_DESC":"Kraftfull online dataeditor för hantering av CSV, Excel och strukturerade data. Rensa, redigera och transformera dina data med avancerade verktyg och ett no-code-gränssnitt.","HEADER_TITLE":"Online dataeditor","HEADER_DESC_1":"Hantera dina data med en kraftfull onlineeditor som kombinerar enkelheten i kalkylark med databaskapacitet.","HEADER_DESC_2":"Importera CSV- och Excel-filer, städa dina data och exportera resultat - direkt i din webbläsare.","NO_SIGNUP":"Ingen registrering krävs","ONLINE_100":"100 % online","EASY_TO_USE":"Lätt att använda","WHAT_IS_TITLE":"Vad gör Datablist annorlunda?","WHAT_IS_DESC":"Kalkylarksverktyg är begränsade när man arbetar med datalistor. Till skillnad från databaser har de ingen datastruktur eller begränsningar. Datablist tillför databaskapacitet samtidigt som användarvänligheten från kalkylark behålls. Perfekt för datastädning, lead management och operationer på strukturerad data.","EDIT_TITLE":"Importera och redigera dina datafiler","EDIT_DESC_1":"Ladda upp CSV- och Excel-filer direkt i din webbläsare. Datablist identifierar automatiskt kolumntyper och datastruktur.","EDIT_DESC_2":"Definiera datatyper för varje kolumn: Text, Email, Tal, Datum, URL och mer.","EDIT_DESC_3":"Sortera, filtrera och sök i dina data med kraftfulla verktyg designade för stora datamängder.","EDIT_DESC_4":"All bearbetning sker lokalt i din webbläsare för maximal hastighet och integritet.","DATA_MANIP_TITLE":"Avancerad datahantering","DATA_MANIP_DESC":"Gå bortom grundläggande kalkylarksoperationer med kraftfulla verktyg för datastädning och konsolidering.","DATA_MANIP_BLOC_DUPLICATES_TITLE":"Hitta och slå samman dubbletter","DATA_MANIP_BLOC_DUPLICATES_DESC":"Avancerad dubblettdetektering med fuzzy matching, fonetiska algoritmer och smart sammanslagning utan dataförlust.","DATA_MANIP_BLOC_CONSO_TITLE":"Kombinera flera filer","DATA_MANIP_BLOC_CONSO_DESC":"Slå ihop CSV-filer med gemensamma identifierare med JOIN-operationer som i databaser.","DUPLICATES_LINK":"Läs mer om att ta bort dubbletter","COMBINE_LINK":"Guide för att kombinera CSV-filer","NOCODE_TITLE":"No-code dataoperationer","NOCODE_DESC_1":"Utför komplexa dataoperationer utan att skriva kod. Använd intuitiva gränssnitt för datastädning, transformering och berikning.","NOCODE_DESC_2":"Inbyggda verktyg för bulkredigering, find & replace, datatypskonvertering och mer.","PRODUCTIVITY_TITLE":"Öka din produktivitet","PRODUCTIVITY_DESC":"Arbeta snabbare med kortkommandon, bulkoperationer och strömlinjeformade workflows utformade för dataexperter.","PRODUCTIVITY_BULLET_1":"Kopiera och klistra in från vilket kalkylbladsverktyg som helst","PRODUCTIVITY_BULLET_2":"Kortkommandon för avancerade användare","PRODUCTIVITY_BULLET_3":"Bulkredigera flera poster samtidigt","PRODUCTIVITY_BULLET_4":"Ångra/gör om för säkra dataoperationer","FEATURES_TITLE":"Databasdrivna funktioner","DATABASE_FEATURES_TITLE":"Datastruktur och begränsningar","DATABASE_FEATURES_DESC":"Definiera datatyper, unika begränsningar och valideringsregler. Säkerställ datakvalitet med inbyggd validering.","EDITING_FEATURES_TITLE":"Avancerade redigeringsverktyg","EDITING_FEATURES_DESC":"Bulkredigering, find & replace med regex, datatypskonvertering och JavaScript-skriptning för komplexa transformationer.","SEARCH_FEATURES_TITLE":"Kraftfull sökning","SEARCH_FEATURES_DESC":"Fulltextsökning över alla kolumner, med omedelbara resultat även på stora datamängder.","FILTER_FEATURES_TITLE":"Avancerad filtrering","FILTER_FEATURES_DESC":"Skapa komplexa filtervillkor med AND/OR-logik, spara filter och arbeta med filtrerade delmängder.","CLEANING_TITLE":"Verktygslåda för datastädning","BULK_EDIT_TITLE":"Bulkredigering","BULK_EDIT_DESC":"Redigera flera poster samtidigt med bulkoperationer: ändra skiftläge, lägg till prefix/suffix, ta bort symboler, konvertera HTML till text och mer.","BULK_EDIT_LINK":"Dokumentation för bulkredigering","DATA_TYPES_TITLE":"Konvertering av datatyper","DATA_TYPES_DESC":"Konvertera text till tal, datum, kryssrutor. Tolka Unix-tidsstämplar, normalisera talformat och säkerställ datakonsekvens.","DATA_TYPES_LINK":"Guide för datakonvertering","JAVASCRIPT_TITLE":"JavaScript-skriptning","JAVASCRIPT_DESC":"Skriv egen JavaScript-kod för komplexa datatransformationer. Anropa externa API:er och skapa anpassade workflows.","JAVASCRIPT_LINK":"JavaScript-dokumentation","FIND_REPLACE_TITLE":"Find & Replace","FIND_REPLACE_DESC":"Avancerad find & replace med reguljära uttryck, alternativ för skiftlägeskänslighet och matchning av hela ord.","FIND_REPLACE_LINK":"Guide för find & replace","EXPORT_TITLE":"Exportera dina rensade data","EXPORT_DESC":"Exportera till CSV- eller Excel-format med valfria avgränsare och teckenkodning. Perfekt för import i andra verktyg eller för att dela med ditt team.","SEE_ALSO":"Relaterade verktyg","CSV_EDITOR":"CSV-editor","CSV_EDITOR_DESC":"Specialiserad CSV-editor med avancerade funktioner för filer med kommaseparerade värden.","DUPLICATES_REMOVER":"Dubblettborttagare","DUPLICATES_REMOVER_DESC":"Avancerad dubblettdetektering och borttagning med fuzzy matching-algoritmer.","COMBINE_CSV":"Kombinera CSV-filer","COMBINE_CSV_DESC":"Slå ihop flera CSV-filer med JOIN-operationer i databasstil.","ENRICHMENTS":"Databerikning","ENRICHMENTS_DESC":"Berika dina data med externa API:er för företagsinformation, validering av email och mer."},"ToolsCommon":{"HOME":"Hem","BREADCRUMB_NAV":"Brödsmulor","BREADCRUMB_TITLE":"Verktyg","OPEN_TOOL":"Öppna verktyg","OTHER_TOOLS_TITLE":"Andra verktyg","RELATED_TOOLS_TITLE":"Relaterade verktyg","UI":{"BROWSE":"Bläddra","CLEAR":"Rensa","COPIED":"Kopierad","COPY_CSV":"Kopiera CSV","DOWNLOAD_CSV":"Ladda ner CSV","INPUT":"Indata","OUTPUT_PREVIEW":"Förhandsvisning av utdata","PREVIEW":"Förhandsvisning","REPLACE":"Ersätt","SETTINGS":"Inställningar","SPLIT_MODE":"Delningsläge","UPLOAD_CSV_FILE":"Ladda upp en CSV-fil","UPLOAD_JSON_FILE":"Ladda upp en JSON-fil"},"TOOLS":{"JSON_TO_CSV":{"NAME":"JSON till CSV-konverterare","DESCRIPTION":"Konvertera nästlad JSON, API-svar, blandade arrayer och payloads med många objekt till en ren CSV med identifiering av radnoder, selektiv flattening och avancerade parseringskontroller."},"CSV_DIFF":{"NAME":"CSV Diff Tool","DESCRIPTION":"Jämför två CSV-filer online, matcha rader med id eller email, upptäck tillagda, borttagna, ändrade och oförändrade rader, och ladda ner en strukturerad diff-CSV."},"CSV_ROWS_SPLITTER":{"NAME":"CSV-raddelare","DESCRIPTION":"Dela upp celler med flera värden i separata rader. Ladda upp en CSV, välj kolumn och avgränsare, och expandera taggar, emails eller telefonnummer till ett värde per rad."},"CSV_SPLITTER":{"NAME":"CSV-delare","DESCRIPTION":"Dela en CSV efter rader, filstorlek, kolumnvärden, regler eller datumintervall. Förhandsgranska resultatet, behåll bara de kolumner du behöver, och ladda ner resultatet som CSV eller ZIP."}},"ENRICHMENT_WAIT":{"PHASES":{"VALIDATING":"Kontrollerar dina uppgifter…","PREPARING":"Förbereder din begäran…","STARTING":"Startar din uppgift…","PROCESSING":"Bearbetar dina data…","CONTINUING":"Arbetet pågår fortfarande. Resultaten visas automatiskt här."},"REASSURANCE":"Håll den här fliken öppen för att se resultaten så snart de är klara. Om du lämnar sidan kan du återvända i den här webbläsaren inom 24 timmar.","PROGRESS_LABEL":"Bearbetar din begäran","RUNNING_TITLE":"Bearbetar · Datablist","READY_TITLE":"Resultaten är klara · Datablist","ATTENTION_TITLE":"Uppgiften kräver din uppmärksamhet · Datablist","SAMPLE":{"REASSURANCE":"Den här provkörningen använder inga krediter.","PROGRESS_LABEL":"Förbereder exempelresultat","RUNNING_TITLE":"Exempelresultaten laddas · Datablist","READY_TITLE":"Exempelresultaten är klara · Datablist"}},"ENRICHMENT_OPTIONS":{"LOADING":"Laddar alternativ…","LOAD_FAILED":"Alternativen kunde inte laddas. Ladda om sidan och försök igen.","UNAVAILABLE":"Extra alternativ är inte tillgängliga just nu. Verktyget använder standardinställningarna."}},"ToolsPage":{"PAGE_TITLE":"Datablist Tools","PAGE_DESC":"Utforska Datablist-verktyg för JSON, CSV och arbetsflöden med stökig data, inklusive CSV diff och avancerad konvertering från JSON till CSV för stora och röriga exporter.","CATEGORY":"Datablist Tools","HEADER_TITLE":"Snygga verktyg för ful data","HEADER_DESC":"En växande uppsättning fokuserade verktyg för JSON, CSV och stökig data från verkligheten. Varje verktyg är utformat som en produkt, inte som ett tillfälligt formulär.","ITEMLIST_NAME":"Datablist Tools","ITEMLIST_DESC":"En samling Datablist-verktyg för JSON, CSV och arbetsflöden för datakonvertering.","LISTING":{"FILES":{"TITLE":"Rensa och omvandla filer","CARDS":{"JSON_TO_CSV":{"DESCRIPTION":"Omvandla nästlad JSON eller API-svar till en ren CSV-fil."},"CSV_DIFF":{"DESCRIPTION":"Jämför två CSV-filer och exportera tillagda, borttagna eller ändrade rader."},"CSV_ROWS_SPLITTER":{"DESCRIPTION":"Dela upp CSV-celler med flera värden till en rad per värde."},"CSV_SPLITTER":{"DESCRIPTION":"Dela upp en CSV-fil efter rader, storlek, värden, regler eller datumintervall."}}},"LEADS":{"TITLE":"Hitta och förbered leads","CARDS":{"DOMAIN_FINDER":{"TITLE":"Hitta företagsdomäner","DESCRIPTION":"Hitta webbdomäner från en lista med företagsnamn."},"SALES_NAVIGATOR_SCRAPER":{"TITLE":"Sales Navigator Scraper","DESCRIPTION":"Förhandsgranska leads från en sök-URL i Sales Navigator eller LinkedIn."},"EMAIL_FINDER":{"TITLE":"Email finder för jobbmejl","DESCRIPTION":"Hitta en jobbmejladress med hjälp av ett namn och företag eller en LinkedIn-profil."},"COMPANY_NAME_CLEANER":{"TITLE":"Rensa företagsnamn","DESCRIPTION":"Ta bort bolagssuffix, korrigera stora och små bokstäver och markera dubbletter."},"INSTAGRAM_FOLLOWER_SCRAPER":{"TITLE":"Instagram Follower Scraper","DESCRIPTION":"Förhandsgranska ett urval av följare från en URL eller ett användarnamn för en Instagram-profil."},"LINKEDIN_PROFILE_SCRAPER":{"TITLE":"Gratis LinkedIn Profile Scraper","DESCRIPTION":"Gratis LinkedIn profile scraper online. Klistra in valfri profil-URL och extrahera upp till 40 offentliga datapunkter utan kostnad. Ingen inloggning, inga cookies och inget sessions-ID krävs."}}}},"KEYWORDS":["datablist tools","json tools","csv tools","json to csv tools","csv diff tool","csv splitter tool","data conversion tools"]},"ToolsJsonToCsv":{"PAGE_TITLE":"JSON till CSV-konverterare","PAGE_DESC":"Gratis online JSON till CSV-konverterare för nästlad JSON, stora filer, API-svar och komplexa exporter. Välj row nodes, platta ut objekt, förhandsgranska resultatet och ladda ner CSV direkt i din webbläsare.","SCHEMA_NAME":"Datablist JSON till CSV-konverterare","SCHEMA_DESC":"Gratis online JSON till CSV-konverterare för nästlad data, stora filer, identifiering av row nodes, kontroller för flattening och bearbetning i webbläsaren.","TOOL":{"EMPTY_SOURCE_LABEL":"Klistra in JSON eller ladda upp en fil","ERROR_MISSING_SOURCE":"Klistra först in en JSON payload eller ladda upp en JSON-fil.","NO_PREVIEW_DESC":"Ladda upp en JSON-fil eller klistra in JSON för att skapa en CSV-förhandsvisning.","NO_PREVIEW_TITLE":"Ingen förhandsvisning än","OVERLAY_DESC":"Filen kommer att tolkas lokalt och förhandsvisas direkt.","OVERLAY_TITLE":"Släpp din JSON-fil här","PASTE_LABEL":"Klistra in JSON","PASTED_LABEL":"Inklistrad JSON","STATUS_COLUMNS_REFRESHED":"Kolumner uppdaterade","STATUS_FAILED":"Konverteringen misslyckades","STATUS_PARSING":"Tolkar JSON","STATUS_PREVIEW_READY":"Förhandsvisning klar","STATUS_PREVIEW_UPDATED":"Förhandsvisning uppdaterad","STATUS_REFRESHING_COLUMNS":"Uppdaterar identifierade kolumner","STATUS_UPDATING_PREVIEW":"Uppdaterar CSV-förhandsvisning","STATUS_WAITING":"Väntar på inmatning","SUBMIT_LABEL":"Konvertera JSON","UI":{"CHAR_COUNT":"{count} tecken","JSON_PARSING":"JSON-tolkning","PARSING_SIMPLE_DESC":"Standardtolkningen fungerar för denna JSON. Öppna endast om du vill anpassa den.","PARSING_COMPLEX_DESC":"Komplex JSON har identifierats. Granska identifieringen av rader och kolumner före export.","ROW_NODES":"Radnoder","NODE_OPTION":"{path} · {count} rader","RECOMMENDED_SUFFIX":" · rekommenderas","ROW_NODES_HELP":"Om fel array har valts kan du byta den här innan du redigerar kolumnerna.","FLATTEN_OBJECTS":"Platta ut nästlade objekt","FLATTEN_OBJECTS_DESC":"Gör `data.name` till en egen CSV-kolumn.","OBJECTS_TO_FLATTEN":"Objekt att platta ut","OBJECTS_TO_FLATTEN_DESC":"Välj vilka nästlade objekt som ska delas upp i separata kolumner.","ARRAY_HANDLING":"Arrayhantering","ARRAY_HANDLING_DESC":"Bestäm hur arrayvärden ska skrivas i CSV-filen.","ARRAY_SEPARATOR":"Arrayavgränsare","ARRAY_FIELDS":"Konfigurera varje arrayfält","ARRAY_FIELDS_DESC":"Välj hur varje identifierad arraykolumn ska exporteras.","ARRAY_JOIN":"Sammanfoga poster","ARRAY_JSON":"Konvertera till JSON-sträng","ARRAY_CASE_BY_CASE":"Från fall till fall","ARRAY_KEEP_FIRST":"Behåll den första","DETECTED_COLUMNS":"Identifierade kolumner","DETECTED_COLUMNS_DESC":"Granska JSON-sökvägen, byt namn på rubriker eller uteslut kolumner före export.","COLUMN_COUNT":"{visible} synliga / {total} totalt","CSV":"CSV","CSV_DESC":"Styr hur den exporterade CSV-filen formateras.","CSV_SEPARATOR":"CSV-avgränsare","CSV_SEPARATOR_DESC":"Välj avgränsaren som används mellan kolumner.","SEPARATOR_COMMA":"Komma (,)","SEPARATOR_PIPE":"Lodstreck (|)","SEPARATOR_SEMICOLON":"Semikolon (;)","SEPARATOR_TAB":"Tabb (\\t)","CUSTOM":"Anpassad","ENTER_SEPARATOR":"Ange avgränsare","QUOTE_TYPE":"Typ av citationstecken","QUOTE_TYPE_DESC":"Välj hur fält omsluts när specialtecken behöver hanteras.","DOUBLE_QUOTE":"Dubbla citationstecken (\")","SINGLE_QUOTE":"Enkla citationstecken (')","INCLUDE_HEADER":"Inkludera rubrikrad","INCLUDE_HEADER_DESC":"Skriv kolumnnamnen på den första raden i CSV-filen.","DATE_FORMAT":"Format för datumutdata","DATE_FORMAT_DESC":"Formatera om identifierade ISO-liknande datum före export.","DATE_KEEP_ORIGINAL":"Behåll originalformatet","DATE_ISO":"ISO-datum (yyyy-MM-dd)","DATE_EUROPEAN":"Europeiskt (dd/MM/yyyy)","DATE_US":"Amerikanskt (MM/dd/yyyy)","DATE_TIME":"Datum och tid (yyyy-MM-dd HH:mm:ss)","DATE_READABLE":"Läsbart (MMM d, yyyy)","OUTPUT":"Resultat","COPY_CSV":"Kopiera CSV","COPIED":"Kopierat","COPY_FAILED":"Kopieringen misslyckades","DOWNLOAD_CSV":"Ladda ner CSV","TABLE_VIEW":"Tabellvy","RAW_CSV":"CSV-rådata","EMPTY_PREVIEW":"Ladda upp JSON eller klistra in den till vänster. Förhandsgranskningen visas här med den identifierade radkällan och reglerna för utplattning tillämpade.","PREVIEW_LIMIT":"Förhandsgranska upp till 100 rader. Ladda ner filen för att få hela CSV-filen.","ROWS":"Rader","COLUMNS":"Kolumner","ERRORS":"Fel"}},"KEYWORDS":["json to csv","json to csv converter free","json to csv online","nested json to csv","complex json to csv","json api response to csv","convert large json to csv","json to csv large file","convert big json file to csv","best json to csv converter","row nodes json to csv","extract nested array from json to csv","convert nested json array to csv","flatten nested json to csv","json converter","csv export","datablist tools"],"SEO_HERO_TITLE":"Klistra in din JSON. Få en ren CSV på några sekunder.","SEO_HERO_DESC":"En gratis JSON till CSV-konverterare online för filer som vanligtvis får enklare verktyg att fallera: nästlade objekt, blandade arrayer och stora payloads. Din data stannar på din egen enhet.","INTRO_TITLE":"JSON till CSV-konverterare för nästlade API-svar och komplexa exporter","INTRO_PARAGRAPHS":["De flesta verktyg fungerar bara om din JSON börjar med en platt array. Men data i verkligheten kommer ofta i stökiga format. API-svar, webhook-payloads, CRM-exporter och scrappade filer innehåller nästlade objekt, metadata och blandade strukturer. Vi byggde det här verktyget för att hantera just det.","Välj dina row nodes, markera vilka objekt som ska flattenas och ange regler för arrayer. Förhandsgranska sedan och ladda ner din CSV. Om du letar efter den bästa JSON till CSV-konverteraren för verklig data, så är det här verktyget byggt för just det jobbet."],"EXAMPLES":{"API":{"TITLE":"Exempel: Konvertera ett nästlat API-svar till CSV","DESCRIPTION":"Ofta fungerar JSON-roten som ett objekt och dina rader ligger gömda i en nästlad array som `results` eller `data`. Där enklare konverterare misslyckas identifierar vårt verktyg arrayen, flattenar strukturen och exporterar en ren CSV.","JSON_LABEL":"Nästlad JSON-indata","CSV_LABEL":"CSV-utdata"},"CONTACTS":{"TITLE":"Exempel: Extrahera en nästlad contacts-array","DESCRIPTION":"Vissa payloads innehåller flera arrayer. Du kanske vill ha parent records eller en djupare array som contacts. Använd väljaren för row nodes för att rikta in dig på exakt den array du behöver och exportera just de raderna.","JSON_LABEL":"JSON med flera arrayer","CSV_LABEL":"CSV-utdata för contacts"}},"PARSING_SETTINGS":{"TITLE":"Inställningar för JSON-parsing","ITEMS":[{"TITLE":"Row nodes","BODY":"Välj vilken array som ska bilda raderna i din CSV. Användbar data ligger sällan i roten. Om din JSON innehåller flera arrayer använder du den här inställningen för att välja rätt."},{"TITLE":"Flatten nested objects","BODY":"Expandera objekt som `company` eller `metrics` till individuella kolumner. Välj specifika objekt att flattena så att din CSV förblir organiserad och du undviker duplicerade fält."},{"TITLE":"Array handling","BODY":"Sammanfoga arrayer med en separator, formatera dem som JSON-strängar eller använd anpassade regler. Du kan slå ihop tags, lämna komplexa arrayer som JSON eller extrahera bara det första objektet från en lista."},{"TITLE":"Case-by-case array rules","BODY":"Använd specifika regler för olika arrayer. Sätt en regel för tags och en annan för contacts. Standardkonverterare behandlar varje array på samma sätt, men här får du exakt kontroll över din slutliga output."}]},"OUTPUT_SETTINGS":{"TITLE":"Inställningar för CSV-utdata","ITEMS":[{"TITLE":"Separator","BODY":"Exportera med kommatecken, semikolon, pipe, tabb eller en egen separator. Matcha exakt den avgränsare som ditt målsystem kräver."},{"TITLE":"Include header row","BODY":"Välj om din CSV ska innehålla kolumnnamn på första raden. Ta bort headers för att exportera råa datarader till en annan pipeline."},{"TITLE":"Date output format","BODY":"Formatera om datum innan du exporterar. Skapa en CSV som är redo för kalkylark eller BI-verktyg utan manuell redigering."},{"TITLE":"Preview before download","BODY":"Verifiera ditt val av row nodes, flattenade kolumner och array-regler i förhandsgranskningen innan du laddar ner filen."}]},"ROW_NODES":{"TITLE":"Välja rätt row nodes","PARAGRAPHS":["Att välja rätt array säkerställer en korrekt konvertering. JSON-filer innehåller ofta wrapper-objekt, metadata och nästlade arrayer. Enklare konverterare väljer den första array de hittar och returnerar därför ofta felaktig data.","Använd inställningen Row nodes för att välja din mål-array. Om du vill få en rad per företag väljer du parent record. Om du vill få en rad per kontakt väljer du child-arrayen.","Den här funktionen extraherar affärsdata från stökiga API-payloads, CRM-exporter och webhook-loggar."]},"LARGE_FILES":{"TITLE":"Konvertera stora JSON-filer till CSV","PARAGRAPHS":["Behöver du konvertera en stor JSON till CSV, eller hantera en stor JSON-fil som andra verktyg går bet på? Den här sidan är byggd med just det användningsfallet i åtanke.","Du kan arbeta med stora payloads, fortfarande granska en förhandsvisning av den genererade CSV-filen och sedan ladda ner hela exporten. Förhandsgranskningen hjälper dig att bekräfta row nodes, flattenade kolumner och array-regler innan du går vidare med den slutliga filen.","Om du sökte efter “convert large JSON to CSV”, “JSON to CSV large file” eller “convert big JSON file to CSV”, så är det exakt den typen av workflow det här verktyget är byggt för att hantera."]},"PRIVACY":{"TITLE":"JSON till CSV online, utan att skicka iväg din data","PARAGRAPHS":["Det här är en JSON till CSV-konverterare online, men din fil laddas inte upp till en extern server för parsing. Bearbetningen sker lokalt i din webbläsare.","Det spelar roll när du arbetar med kundexporter, CRM-data, API-svar, interna loggar eller något annat som du helst inte vill skicka vidare bara för att konvertera det.","Kort sagt: det är snabbt, det är smidigt och det håller din data säkrare eftersom konverteringen stannar på din egen enhet."]},"USE_CASES_TITLE":"När du ska använda det här verktyget","USE_CASES":[{"TITLE":"Konvertera JSON API response till CSV","BODY":"Exportera data från API:er där posterna ligger i nästlade fält tillsammans med metadata."},{"TITLE":"Konvertera nästlad JSON till platta CSV-kolumner","BODY":"Gör om nästlade företagsdetaljer, adressblock och omsättningsdata till rena kalkylarkskolumner."},{"TITLE":"Extrahera nästlade arrayer från JSON","BODY":"Rikta in dig på och exportera djupare arrayer som contacts, line items eller events med hjälp av väljaren för row nodes."},{"TITLE":"Konvertera CRM- eller webhook-JSON-exporter till CSV","BODY":"Förbered exporter från HubSpot, interna API-payloads och webhook-loggar för Excel eller BI-verktyg."},{"TITLE":"Hantera arrayer olika i samma JSON-fil","BODY":"Slå ihop enkla tags, behåll det första objektet i en lista eller stringify komplexa strukturer i samma fil."},{"TITLE":"Förbered CSV för Excel, Sheets eller importer","BODY":"Justera separatorer, växla headers och formatera datum så att din CSV matchar målsystemet."},{"TITLE":"Konvertera stora JSON-filer utan att förlora överblicken","BODY":"Arbeta med stora JSON-filer, behåll en live preview av outputen och ladda ner hela CSV-filen när strukturen ser rätt ut."},{"TITLE":"Använd en gratis JSON till CSV-konverterare online","BODY":"Öppna sidan, klistra in eller ladda upp din JSON, granska resultatet och ladda ner CSV gratis utan att installera något."}],"FAQ_TITLE":"FAQ: konvertering av komplex JSON till CSV","FAQ_ITEMS":[{"QUESTION":"Är detta en gratis JSON till CSV-konverterare?","ANSWER":"Ja. Den här JSON till CSV-konverteraren är gratis att använda."},{"QUESTION":"Kan jag konvertera en nästlad JSON-fil till CSV?","ANSWER":"Ja. Välj rätt row nodes, markera vilka objekt som ska flattenas och exportera din data."},{"QUESTION":"Kan jag konvertera ett JSON API response till CSV när raderna ligger i en nästlad array?","ANSWER":"Ja. Välj den nästlade arrayen, ofta kallad `results`, `items` eller `data`, så bygger verktyget din CSV utifrån dessa poster."},{"QUESTION":"Vad gör inställningen Row nodes?","ANSWER":"Den avgör vilken array som bildar raderna i din CSV. Använd den för att gå förbi root-objekt och rikta in dig på exakt den data du behöver."},{"QUESTION":"Kan jag konvertera en stor JSON-fil till CSV?","ANSWER":"Ja. Verktyget är byggt för att hantera stora payloads samtidigt som du får en förhandsgranskning av den genererade CSV-filen innan du laddar ner hela filen."},{"QUESTION":"Kan jag välja vilka objekt som ska flattenas?","ANSWER":"Ja. Välj specifika objektsökvägar som ska expanderas till kolumner. Objekt som inte väljs förblir som JSON-strängar, vilket håller exporten ren."},{"QUESTION":"Är den här JSON till CSV-konverteraren online och säker?","ANSWER":"Ja. Den körs online i din webbläsare, men parsing och konvertering sker lokalt på din enhet i stället för att skickas till en server."},{"QUESTION":"Kan jag använda olika regler för olika arrayer?","ANSWER":"Ja. Använd case-by-case-läget för att sammanfoga, stringify eller reducera arrayer per fält."},{"QUESTION":"Vad gör detta till en av de bästa JSON till CSV-konverterarna?","ANSWER":"Det är byggt för de stökiga fall som människor faktiskt kämpar med: nästlad JSON, flera möjliga arrayer, selektiv flattening, regler per array, stora filer, live preview och lokal bearbetning för bättre integritet."}],"OTHER_TOOLS_DESC":"Behöver du ett annat verktyg efter att ha konverterat JSON? De här verktygen täcker närliggande data-workflows som strukturerad jämförelse och diffar anpassade för revision."},"ToolsCsvDiff":{"PAGE_TITLE":"CSV diff-verktyg","PAGE_DESC":"Gratis onlineverktyg för CSV-diff för att jämföra två CSV-filer, upptäcka tillagda, borttagna och ändrade rader, förhandsgranska skillnader på cellnivå, välja inställningar för join och nyckelkolumner samt ladda ner resultatet direkt i din webbläsare.","SCHEMA_NAME":"Datablist CSV Diff Tool","SCHEMA_DESC":"Gratis onlineverktyg för jämförelse av CSV-filer för tillagda, borttagna, ändrade och oförändrade rader, med bearbetning i webbläsaren och nedladdningsbar CSV-utdata för diffen.","TOOL":{"ERROR_MISSING_SOURCE":"Ladda upp båda CSV-filerna för att jämföra dem.","FILE_EMPTY_HELP":"Ladda upp eller släpp en fil","FILE_EMPTY_NAME":"Välj en CSV-fil","FILE_LOADED":"Inläst","HELP_TEXT":"Ladda upp två CSV-filer, välj hur raderna ska matchas och förhandsgranska sedan diffen här. Allt körs lokalt i din webbläsare.","ORIGINAL_FILE_DESC":"Den tidigare exporten, ögonblicksbilden eller baslinjefilen.","ORIGINAL_FILE_TITLE":"Ursprunglig CSV","OVERLAY_DESC":"Släpp först den ursprungliga filen och sedan den uppdaterade.","OVERLAY_TITLE":"Släpp dina CSV-filer här","STATUS_COMPARISON_FAILED":"Jämförelsen misslyckades","STATUS_FILES_READY":"Filerna är inlästa. Redo att jämföra.","STATUS_PREVIEW_READY":"Förhandsgranskningen är klar","STATUS_WAITING":"Ladda upp två CSV-filer för att förhandsgranska diffen.","SUBMIT_LABEL":"Jämför CSV-filer","UPDATED_FILE_DESC":"Den nyare exporten som du vill jämföra med originalet.","UPDATED_FILE_TITLE":"Uppdaterad CSV","UI":{"COLUMNS_MAPPING":"Kolumnmappning","MAP_COLUMNS_THAT_CONTAIN_THE_SAME_DATA_WHEN":"Mappa kolumner som innehåller samma data när de två CSV-filerna använder olika kolumnnamn.","ONLY_MAPPED_COLUMNS_ARE_USED_FOR_MATCHING_AND":"Endast mappade kolumner används för matchning och jämförelse. Omappade kolumner förblir synliga när du expanderar en rad.","ORIGINAL_COLUMN":"Ursprunglig kolumn","DO_NOT_COMPARE_THIS_COLUMN":"Jämför inte den här kolumnen","UNMAPPED_UPDATED_ONLY_COLUMNS":"Omappade kolumner som endast finns i den uppdaterade filen:","MATCHING":"Matchning","CHOOSE_HOW_ROWS_SHOULD_BE_MATCHED_BETWEEN_THE":"Välj hur rader ska matchas mellan den ursprungliga och den uppdaterade CSV-filen.","ROW_MATCHING_MODE":"Metod för radmatchning","USE_A_KEY_COLUMN_WHEN_BOTH_FILES_SHARE":"Använd en nyckelkolumn när båda filerna har en gemensam stabil identifierare. Använd jämförelse av hela raden när de inte har det.","AUTO_DETECT":"Identifiera automatiskt","SELECTED_KEY_COLUMN":"Vald nyckelkolumn","MULTIPLE_KEY_COLUMNS":"Flera nyckelkolumner","FULL_ROW_CONTENT":"Hela radens innehåll","CURRENT_MATCH_MODE":"Aktuell matchningsmetod:","KEY_COLUMN":"Nyckelkolumn","AUTO_DETECT_PREFERS_COLUMNS_LIKE_ID_EMAIL_SKU":"Automatisk identifiering prioriterar kolumner som id, email, sku eller gemensamma fält med mycket unika värden.","USE_DETECTED_SUGGESTION":"Använd identifierat förslag","MULTIPLE_KEYS":"Flera nycklar","COMBINE_SHARED_COLUMNS_WHEN_ONE_COLUMN_ALONE_IS":"Kombinera gemensamma kolumner när en kolumn inte är tillräckligt unik på egen hand.","JOIN_TYPE":"Join-typ","FULL_OUTER_JOIN_SHOWS_EVERYTHING_INNER_JOIN_SHOWS":"Full outer join visar allt. Inner join visar endast matchade rader. Left join använder de ursprungliga raderna som bas.","FULL_OUTER_JOIN":"Full outer join","INNER_JOIN":"Inner join","LEFT_JOIN":"Left join","COMPARISON":"Jämförelse","NORMALIZE_VALUES_BEFORE_DIFFING_TO_AVOID_NOISE_FROM":"Normalisera värden före jämförelsen för att undvika brus från ändringar som endast gäller formatering.","IGNORE_COLUMN_ORDER":"Ignorera kolumnordning","WHEN_ENABLED_COLUMNS_ARE_ALIGNED_BY_NAME_INSTEAD":"När detta är aktiverat justeras kolumner efter namn i stället för position.","COMPARE_COLUMNS_BY_NAME":"Jämför kolumner efter namn","IGNORE_WHITESPACE":"Ignorera blanksteg","TRIM_LEADING_AND_TRAILING_WHITESPACE_BEFORE_COMPARING_CELL":"Ta bort inledande och avslutande blanksteg innan cellvärden jämförs.","TREAT_EXTRA_SPACES_AS_UNCHANGED":"Betrakta extra blanksteg som oförändrade","IGNORE_CASE":"Ignorera skiftläge","USEFUL_WHEN_THE_SAME_VALUES_APPEAR_WITH_MIXED":"Användbart när samma värden förekommer med blandade versaler och gemener.","COMPARE_TEXT_CASE_INSENSITIVELY":"Jämför text utan hänsyn till skiftläge","EMPTY_AND_NULL_LIKE_VALUES":"Tomma och null-liknande värden","TREAT_EMPTY_STRINGS_NULL_UNDEFINED_AND_SIMILAR_PLACEHOLDER":"Betrakta tomma strängar, null, undefined och liknande platshållarvärden som likvärdiga.","NORMALIZE_EMPTY_AND_NULL_LIKE_VALUES":"Normalisera tomma och null-liknande värden","OUTPUT":"Resultat","CHOOSE_WHAT_TO_EXPORT_AND_HOW_THE_DOWNLOADABLE":"Välj vad som ska exporteras och hur den nedladdningsbara CSV-filen ska formateras.","OUTPUT_MODE":"Resultatformat","SUMMARY_KEEPS_ONE_ROW_PER_RECORD_CHANGED_ROWS":"Sammanfattningen behåller en rad per post. Ändrade rader fokuserar endast på redigeringar. Fullständig diff visar värden sida vid sida.","SUMMARY_CSV":"Sammanfattnings-CSV","CHANGED_ROWS_CSV":"CSV med ändrade rader","FULL_DIFF_CSV":"Fullständig diff-CSV","DOWNLOAD_SEPARATOR":"Avgränsare för nedladdning","CHOOSE_THE_DELIMITER_USED_IN_THE_DOWNLOADABLE_DIFF":"Välj avgränsaren som ska användas i den nedladdningsbara diff-CSV-filen.","INCLUDE_UNCHANGED_ROWS":"Inkludera oförändrade rader","KEEP_UNCHANGED_ROWS_IN_THE_DOWNLOADABLE_OUTPUT_WHEN":"Behåll oförändrade rader i den nedladdningsbara filen när du behöver en fullständig granskning post för post.","INCLUDE_UNCHANGED_ROWS_IN_EXPORT":"Inkludera oförändrade rader i exporten","INCLUDE_HEADER_ROW":"Inkludera rubrikrad","INCLUDE_COLUMN_HEADERS_IN_THE_DOWNLOADABLE_CSV":"Inkludera kolumnrubriker i den nedladdningsbara CSV-filen.","ADD_CSV_HEADER_ROW":"Lägg till CSV-rubrikrad","CSV_DIFF":"CSV-diff","DIFF_PREVIEW":"Förhandsgranskning av diff","DOWNLOAD_DIFFERENCES_CSV":"Ladda ner CSV med skillnader","DATA_TABLE":"Datatabell","CHANGED_ROWS":"Ändrade rader","SEARCH_VISIBLE_ROWS":"Sök i synliga rader","COMPARISON_ERROR":"Jämförelsefel","LARGE_CSV_FILES_STAY_IN_YOUR_BROWSER_WHILE":"Stora CSV-filer stannar i din webbläsare medan bakgrundsprocessen tolkar dem och beräknar skillnaderna.","PREVIEW_THE_CSV_DIFF_HERE":"Förhandsgranska CSV-diffen här","UPLOAD_TWO_CSV_FILES_CHOOSE_HOW_ROWS_SHOULD":"Ladda upp två CSV-filer, välj hur rader ska matchas, så visar tabellen tillagda, borttagna, ändrade och oförändrade rader.","NO_ROWS_MATCH_THE_CURRENT_PREVIEW_FILTER":"Inga rader matchar det aktuella förhandsgranskningsfiltret.","STATUS":"Status","ROW_NUMBER":"Radnummer","EXPLAIN_ROW_NUMBER_FORMAT":"Förklara radnummerformatet","KEY":"Nyckel","LOAD_MORE_ROWS":"Läs in fler rader","END_OF_CURRENT_RESULT_SET":"Slut på den aktuella resultatuppsättningen","WARNINGS":"Varningar","CHANGED":"Ändrad","ADDED":"Tillagd","REMOVED":"Borttagen","UNCHANGED":"Oförändrad","PROCESSING":"Bearbetar","ORIGINAL_SEPARATOR":"Ursprunglig avgränsare:","UPDATED_SEPARATOR":"Uppdaterad avgränsare:","MATCHED_BY":"Matchad efter:","ORIGINAL_ROWS":"Ursprungliga rader:","UPDATED_ROWS":"Uppdaterade rader:","SUMMARY":"Sammanfattning","MAPPED_COLUMNS":"Mappade kolumner:","UNMAPPED_COLUMNS":"Omappade kolumner:","DUPLICATE_KEY_ROWS_FLAGGED":"Rader med duplicerade nycklar markerade:","PREVIEW_COLUMNS":"Kolumner i förhandsgranskningen:","PARSING_ORIGINAL_CSV":"Tolkar ursprunglig CSV","PARSING_UPDATED_CSV":"Tolkar uppdaterad CSV","MATCHING_ROWS":"Matchar rader","COMPUTING_DIFFERENCES":"Beräknar skillnader","FILTER_ALL":"Alla","STATUS_ALL":"alla","FILTER_CHANGED":"Ändrade","STATUS_CHANGED":"ändrade","FILTER_ADDED":"Tillagda","STATUS_ADDED":"tillagda","FILTER_REMOVED":"Borttagna","STATUS_REMOVED":"borttagna","FILTER_UNCHANGED":"Oförändrade","STATUS_UNCHANGED":"oförändrade","COPIED":"Kopierat","COPY_FAILED":"Kopieringen misslyckades","COPY_DIFFERENCES_CSV":"Kopiera CSV med skillnader","FULL_ROW":"Hela raden","FULL_ROW_CONTENT_2":"hela radens innehåll","ROW_NUMBER_TOOLTIP":"Rad {original} : rad {updated}.","ORIGINAL_VALUE_HEADER":"{file} Ursprunglig","UPDATED_VALUE_HEADER":"{file} Uppdaterad","ROWS_CHANGED_PERCENT":"{percent}% av raderna har ändrats","NO_CELL_CHANGES":"Inga celländringar","NO_CHANGED_CELLS":"Inga ändrade celler.","SHOWING_ROWS":"Visar {visible} av {total} rader","SEPARATOR_OPTION_COMMA":"Komma (,)","SEPARATOR_COMMA":"Komma","SEPARATOR_OPTION_SEMICOLON":"Semikolon (;)","SEPARATOR_SEMICOLON":"Semikolon","SEPARATOR_OPTION_PIPE":"Lodstreck (|)","SEPARATOR_PIPE":"Lodstreck","SEPARATOR_OPTION_TAB":"Tabb (\\t)","SEPARATOR_TAB":"Tabb","ROW_ONLY_UPDATED":"Den här raden finns endast i den uppdaterade CSV-filen.","ROW_ONLY_ORIGINAL":"Den här raden finns endast i den ursprungliga CSV-filen.","COLUMN_NEW":"ny kolumn","COLUMN_DELETED":"borttagen kolumn","COLUMNS_CHANGED":"{count, plural, one {# kolumn ändrad} other {# kolumner ändrade}}","COLUMN_SAME":"samma"}},"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 online för riktig affärsdata","HERO_DESC":"Det här verktyget för CSV-jämförelse är byggt för gamla och nya exporter, CRM-ögonblicksbilder, produktkataloger och lead-listor. I stället för att visa en stökig textdiff rad för rad jämför det rader som data, hjälper dig att matcha rader via id eller email och markerar vilka celler som faktiskt har ändrats.","EXAMPLE":{"TITLE":"Exempel: jämför två CSV-exporter efter id","DESCRIPTION":"Detta är ett vanligt workflow för att jämföra en tidigare export med en nyare. En rad förblir oförändrad, en rad ändras, en försvinner och en ny rad tillkommer.","DIFF_LABEL":"Diffresultat"},"MATCHING":{"TITLE":"Jämför CSV-rader efter nyckelkolumn","PARAGRAPHS":["Det bästa sättet att jämföra två CSV-filer online är oftast att matcha rader med en stabil nyckel som `id`, `email`, `sku` eller `uuid`. Verktyget föreslår automatiskt en sannolik nyckelkolumn när det hittar en, men du kan ändra det, välja flera nyckelkolumner eller falla tillbaka på jämförelse av hela raden.","Detta är särskilt användbart när filer innehåller samma poster i olika ordning, eller när kolumner har ordnats om mellan exporter."]},"STATUSES":{"TITLE":"Tillagda, borttagna, ändrade och oförändrade rader","PARAGRAPHS":["Diff-resultatet delar upp rader i fyra praktiska statusar: tillagd, borttagen, ändrad och oförändrad. För ändrade rader visar förhandsgranskningen vilka kolumner som ändrats samt det gamla värdet jämfört med det nya.","Det gör verktyget mer användbart än en enkel textdiff för CSV-filer, särskilt när du behöver förklara vad som har ändrats för icke-tekniska team."]},"ADVANCED_TITLE":"Avancerade CSV diff-inställningar för mer exakt jämförelse","ADVANCED_DESC":"De flesta onlineverktyg för CSV diff stannar vid en enkel jämför-knapp. Det här ger dig mer kontroll när du behöver jämföra CSV-filer efter nyckelkolumn, finjustera hur rader joinas, ignorera skillnader som bara gäller formatering eller välja exakt vilket diff-resultat du vill ladda ner.","DETAIL_CARDS":[{"TITLE":"Join-typ: full outer join, inner join eller left join","PARAGRAPHS":["Join-typen definierar vilka rader som visas i den slutliga CSV-diffen. Full outer join är standard eftersom den visar allt: matchade rader, tillagda rader och borttagna rader. Inner join behåller bara rader som finns i båda filerna. Left join använder den ursprungliga CSV-filen som bas och är användbar när du främst vill se vilka ursprungliga poster som ändrats eller försvunnit.","Detta är särskilt hjälpsamt för sökningar som “full outer join CSV compare” eller “compare old and new CSV file with removed rows”, eftersom join-läget ändrar diffens innebörd."]},{"TITLE":"Matchning med nyckelkolumn för id:n, emails, SKU:er och jämförelse med flera nycklar","PARAGRAPHS":["Om du vill jämföra CSV efter id, email, SKU, uuid eller någon annan identifierare är inställningen för nyckelkolumn det som gör resultatet tillförlitligt. I stället för att matcha rader efter radordning matchar verktyget poster efter vald nyckel, så att omordning av kolumner eller förflyttning av rader inte skapar falska skillnader.","Du kan också använda flera nyckelkolumner när ett fält inte är tillräckligt unikt. Det gör verktyget användbart för mer avancerade sökningar som “compare CSV by key column” eller “compare CSV files by multiple columns”."]},{"TITLE":"Jämförelseinställningar för att ignorera whitespace, versaler/gemener och null-liknande värden","PARAGRAPHS":["Verkliga exporter skiljer sig ofta bara på grund av formatering. En fil kan innehålla extra mellanslag, text i versaler eller platshållarvärden som `null`, `N/A` eller tomma strängar. Med jämförelseinställningarna kan du ignorera skillnader i whitespace, ignorera versaler/gemener och behandla tomma och null-liknande värden som lika innan diffen beräknas.","Dessa alternativ är viktiga när användare söker efter ett mer avancerat verktyg för CSV-jämförelse i stället för en naiv textdiff. De hjälper till att minska brus och fokusera förhandsgranskningen på faktiska dataändringar."]},{"TITLE":"Output-format: sammanfattande CSV, CSV med ändrade rader eller fullständig diff-CSV","PARAGRAPHS":["Vissa workflows behöver bara en kompakt sammanfattning med radstatus och nycklar. Andra behöver en CSV med endast ändrade rader, eller en fullständig diff-CSV med ursprungliga och uppdaterade värden sida vid sida. Med output-inställningarna kan du välja det formatet, välja avgränsare och bestämma om oförändrade rader ska finnas kvar i den exporterade filen.","Det gör verktyget mer flexibelt än många gratis onlineverktyg för CSV diff, eftersom det exporterade resultatet kan anpassas för granskningar, affärsgenomgångar, reconciliation-workflows eller vidare arbete i kalkylblad."]},{"TITLE":"Jämför stora CSV-filer online","PARAGRAPHS":["Verktyget är utformat för att jämföra stora CSV-filer online utan att försöka rendera varje rad i webbläsaren. Det beräknar fullständiga sammanfattande antal, begränsar förhandsgranskningen till ett hanterbart urval och låter dig ändå ladda ner hela diff-resultatet efteråt.","Om du behöver ett gratis CSV diff-verktyg för stora exporter är detta workflow för stora filer själva poängen med den här sidan."]},{"TITLE":"Kompatibelt med flera CSV-kodningar","PARAGRAPHS":["Riktiga CSV-filer sparas inte alltid som vanlig UTF-8. Det här verktyget är byggt för att hantera vanliga kodningar från kalkylblad och exporter, inklusive UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 och filer i Latin-1-stil.","Detta är viktigt när du behöver en online CSV diff för filer som kommer från Excel, äldre affärssystem eller regionala exporter som annars öppnas med trasiga accenter eller oläsliga tecken."]},{"TITLE":"Radnummer i diffens datatabell","PARAGRAPHS":["När du jämför CSV-filer efter nyckelkolumn kan diffens datatabell också visa källfilens radnummer för varje matchad post. Om raden ligger kvar på samma position ser du ett radnummer. Om posten har flyttats visar tabellen båda radnumren så att du kan spåra den tillbaka i varje fil.","Detta är användbart för granskningar, reconciliation-arbete och supportärenden där du inte bara behöver förklara vad som har ändrats, utan exakt var raden kom ifrån i den ursprungliga CSV-filen och den uppdaterade CSV-filen."]},{"TITLE":"Privat bearbetning i webbläsaren","PARAGRAPHS":["CSV-filer parsas och jämförs i din webbläsare. Det är viktigt när du arbetar med kundexporter, intäktsögonblicksbilder, lagerdata eller andra känsliga kalkylblad som bör stanna på din dator.","Det gör också upplevelsen av CSV diff online snabbare eftersom det inte finns något server-side upload-steg innan du kan granska resultatet."]}],"FAQ_TITLE":"FAQ","FAQ_ITEMS":[{"QUESTION":"Hur jämför jag två CSV-filer online?","ANSWER":"Ladda upp den ursprungliga CSV-filen och den uppdaterade CSV-filen, välj hur raderna ska matchas, granska diff-förhandsvisningen och ladda sedan ner sammanfattningen eller den fullständiga diff-CSV-filen. Matchning efter id, email eller en annan stabil nyckel ger vanligtvis det tydligaste resultatet."},{"QUESTION":"Kan jag jämföra CSV-filer efter id?","ANSWER":"Ja. Verktyget är byggt för att jämföra CSV-rader efter nyckelkolumn. Det kan automatiskt föreslå kolumner som id, email, sku, key eller uuid, och du kan också välja flera nyckelkolumner när en enda kolumn inte räcker."},{"QUESTION":"Vad händer om kolumnerna har ordnats om?","ANSWER":"Standardbeteendet jämför kolumner efter kolumnnamn, inte bara efter position. Det betyder att omordnade kolumner inte skapar falska skillnader när kolumner med samma namn finns i båda filerna."},{"QUESTION":"Vad betyder join-typ i en CSV diff?","ANSWER":"Join-typen styr vilka rader som inkluderas i resultatet. Full outer join inkluderar matchade, tillagda och borttagna rader. Inner join inkluderar bara rader som finns i båda filerna. Left join använder den ursprungliga CSV-filen som bas och exkluderar rader som bara finns i den uppdaterade filen."},{"QUESTION":"Kan jag ignorera skillnader i whitespace eller versaler/gemener?","ANSWER":"Ja. Jämförelseinställningarna kan ignorera whitespace, ignorera versaler/gemener och behandla tomma eller null-liknande värden som lika. Det hjälper när du vill hitta verkliga dataändringar i stället för brus som bara beror på formatering."},{"QUESTION":"Vilka CSV-kodningar stöds?","ANSWER":"Verktyget är kompatibelt med vanliga CSV-kodningar, inklusive UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 och filer i Latin-1-stil. Det hjälper vid CSV-exporter från Excel, äldre programvara och affärssystem som inte använder UTF-8."},{"QUESTION":"Kan jag se radnummer i diffen?","ANSWER":"Ja. När rader matchas efter nyckelkolumn kan diffens datatabell visa radnummer för båda filerna. Om posten förekommer på olika radnummer i respektive fil visas båda radnumren så att du kan spåra matchningen tillbaka till käll-CSV-filerna."},{"QUESTION":"Vilka output-format finns tillgängliga?","ANSWER":"Du kan exportera en sammanfattande CSV, en CSV med ändrade rader eller en fullständig diff-CSV. Output-inställningarna låter dig också välja avgränsare och om oförändrade rader ska inkluderas."},{"QUESTION":"Kan detta jämföra stora CSV-filer?","ANSWER":"Ja. Förhandsgranskningen hålls begränsad så att sidan förblir responsiv, medan den fullständiga diffen fortfarande beräknas för antal och nedladdning. Det gör verktyget lämpligt för större exporter än vad en enkel, DOM-tung visare bekvämt klarar av."},{"QUESTION":"Är det här verktyget för CSV-jämförelse gratis?","ANSWER":"Ja. Den här sidan är ett gratis onlineverktyg för CSV diff. Du kan jämföra CSV-filer online, granska skillnaderna och ladda ner resultatet utan att behöva installera något desktop-program."}],"OTHER_TOOLS_DESC":"Behöver du ett annat dataverktyg efter att ha jämfört två CSV-filer? De här verktygen är utformade för närliggande workflows för rensning och konvertering."},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV-raddelare — dela/expandera CSV-rader med avgränsare","PAGE_DESC":"Gratis onlineverktyg för att dela CSV-rader med en avgränsare. Välj en kolumn, välj en separator och expandera celler med flera värden till en rad per värde. Fungerar med stora filer, helt i webbläsaren.","SCHEMA_NAME":"Datablist CSV-raddelare","SCHEMA_DESC":"Gratis onlineverktyg för att dela CSV-rader. Dela celler med flera värden till individuella rader genom att välja en kolumn och en avgränsare. Helt i webbläsaren, fungerar med stora filer.","TOOL":{"CHARS":"tecken","COLUMN_HELP":"Välj vilken kolumn som innehåller flera värden i varje cell.","COLUMN_LABEL":"Kolumn att dela","COPY_ARIA":"Kopiera CSV","COPY_DONE_LABEL":"Kopierat!","DELIMITER_CUSTOM_HINT":"eller ange en egen avgränsare","DELIMITER_HELP":"Tecknet som används för att separera värden i cellen.","DELIMITER_LABEL":"Cellavgränsare","EMPTY_SOURCE_LABEL":"Klistra in CSV eller ladda upp en fil","ERROR_MISSING_SOURCE":"Klistra in CSV-innehåll eller ladda upp en CSV-fil först.","NO_PREVIEW_DESC":"Ladda upp en CSV eller klistra in data och klicka på Dela rader.","NO_PREVIEW_TITLE":"Ingen förhandsvisning än","OPTIONS_DUPLICATES_DESC":"Behåll bara den första förekomsten av varje värde i en cell.","OPTIONS_DUPLICATES_LABEL":"Ta bort dubbletter","OPTIONS_HEADER":"Alternativ","OPTIONS_SKIP_EMPTY_DESC":"Hoppa över rader som skulle bli tomma efter delningen.","OPTIONS_SKIP_EMPTY_LABEL":"Hoppa över tomma värden","OPTIONS_TRIM_DESC":"Ta bort inledande och avslutande blanksteg från varje värde.","OPTIONS_TRIM_LABEL":"Trimma blanksteg","OVERLAY_DESC":"Filen kommer att tolkas lokalt och förhandsvisas direkt.","OVERLAY_TITLE":"Släpp din CSV-fil här","PASTE_LABEL":"Klistra in CSV","PASTED_LABEL":"Inklistrad CSV","PREVIEW_LIMIT":"{count} av {total} rader","PREVIEW_SPLIT_BADGE":"delad","ROWS_AFTER":"Rader efter","ROWS_BEFORE":"Rader före","STATUS_FAILED":"Bearbetningen misslyckades","STATUS_PREVIEW_READY":"Förhandsvisning klar","STATUS_PROCESSING":"Bearbetar CSV…","STATUS_WAITING":"Väntar på inmatning","SUBMIT_LABEL":"Dela rader","TRUST_BROWSER":"Bearbetas i din webbläsare","TRUST_LARGE_FILES":"Fungerar med stora CSV-filer","TRUST_NO_UPLOAD":"Ingen uppladdning till server","DELIMITERS":{"COMMA":"Komma ,","SEMICOLON":"Semikolon ;","PIPE":"Lodstreck |","TAB":"Tabb \\t"},"CUSTOM_DELIMITER":"Anpassad…","PASTE_PLACEHOLDER":"Namn,Emails\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":"Visar {count} av {total} rader – ladda ner CSV-filen för att få alla rader."},"KEYWORDS":["split csv rows by delimiter","split column into multiple rows csv","excel split cell into multiple rows","normalize csv data","normalize csv multi-value cells","csv utf-8 utf-16 windows-1252","csv latin-1 encoding tool","expand rows csv","csv unpivot multi-value column","split comma separated values into rows","csv explode column","unnest csv column","tidy data multiple values per cell","flatten csv column","split comma separated values into multiple rows excel","how to normalize csv with multiple values in one cell","convert multi value cell to rows csv online","split emails in one cell into multiple rows","datablist tools"],"HERO_TITLE":"Dela CSV-rader med avgränsare — på några sekunder. Inga Excel-formler.","HERO_DESC":"Jag exporterade kontakter från mitt CRM. Alla emails låg i en enda cell, kommaseparerade. Jag behövde ett email per rad. Excel gjorde det onödigt krångligt. Det här verktyget gör jobbet på 10 sekunder.","WHY_TITLE":"Varför det är viktigt att dela celler med flera värden","WHY_DESC":"CRM, e-handelsplattformar och enkätexporter lägger ofta flera värden i en enda cell. Taggar, emails, telefonnummer, kategorier — allt samlas bakom en avgränsare. Normaliserad data är enklare att importera, deduplicera, filtrera och enricha. Ett värde per rad är standarden som dina verktyg förväntar sig.","INTRO_CARDS":[{"TITLE":"Dela en kolumn till flera rader i CSV","PARAGRAPHS":["Använd det här verktyget när du behöver dela en kolumn till flera rader i en CSV-fil. Det är byggt för filer där en cell innehåller flera emails, taggar, telefonnummer, kategorier, kompetenser eller ID:n separerade med en avgränsare.","Det här är ett av de snabbaste sätten att normalisera CSV-data och normalisera CSV-celler med flera värden innan du importerar filen till ett annat system. I stället för att ha flera värden i samma post expanderar du raderna i CSV-filen så att varje värde får sin egen rad."]},{"TITLE":"Så delar du en cell till flera rader i Excel","PARAGRAPHS":["Många söker efter hur man delar en cell till flera rader i Excel eller hur man delar kommaseparerade värden till flera rader i Excel. För CSV-filer är det här onlineverktyget vanligtvis snabbare än att bygga formler, använda Power Query eller manuellt kopiera rader.","Klistra in eller ladda upp din CSV, välj kolumnen, bekräfta avgränsaren och ladda ner resultatet. Om ditt mål är att konvertera en cell med flera värden till rader i CSV online är den här sidan byggd exakt för det workflowet."]}],"EXAMPLES":{"EMAILS":{"TITLE":"Exempel: dela kontakter med flera emails till en rad per email","DESCRIPTION":"En vanlig CRM-export lägger varje kontakts email i en enda cell. Delning expanderar varje kontakt till individuella rader som du kan importera i vilket verktyg som helst.","INPUT_LABEL":"CSV-input","OUTPUT_LABEL":"CSV-output"},"TAGS":{"TITLE":"Exempel: expandera produkt-taggar till individuella rader","DESCRIPTION":"Produktkataloger packar ofta flera taggar i en enda cell. Delning ger dig en ren struktur med en tagg per rad, redo för filtrering, gruppering eller analys.","INPUT_LABEL":"CSV-input","OUTPUT_LABEL":"CSV-output"}},"SETTINGS_CARDS":[{"TITLE":"Så delar verktyget CSV-rader","ITEMS":[{"TITLE":"Kolumn att dela","BODY":"Välj kolumnen som innehåller flera värden i en enda cell. Alla andra kolumner dupliceras över de nya raderna. Endast en kolumn kan expanderas åt gången i den här versionen."},{"TITLE":"Cellavgränsare","BODY":"Detta är tecknet som separerar värden inne i cellen — inte samma sak som CSV-filens kolumnseparator. Vanliga val är komma, semikolon, pipe och tab. Verktyget föreslår en avgränsare baserat på din data."},{"TITLE":"Trimma mellanslag","BODY":"Aktiverat som standard. Tar bort inledande och avslutande blanksteg från varje värde efter delning. Användbart när värden separeras med \", \" i stället för bara \",\"."}]},{"TITLE":"Avancerade alternativ","ITEMS":[{"TITLE":"Ta bort dubbletter","BODY":"När en cell innehåller `a,a,b` behåller det här alternativet bara ett `a` och skapar två rader i stället för tre. Användbart när källdatan innehåller oavsiktliga upprepningar."},{"TITLE":"Hoppa över tomma värden","BODY":"När en delning ger en tom sträng, till exempel från en avslutande avgränsare som `a,b,`, tar det här alternativet bort det tomma värdet i stället för att skapa en tom rad."},{"TITLE":"Tomma celler behålls som standard","BODY":"Om en cell är helt tom behålls raden som den är. Endast celler som faktiskt innehåller avgränsaren expanderas."}]}],"INFO_CARDS":[{"TITLE":"Fungerar med stora CSV-filer","PARAGRAPHS":["Delning expanderar antalet rader, ibland rejält. En fil med 5 000 rader och i snitt 3 värden per cell blir 15 000 rader. Verktyget hanterar det utan problem.","Förhandsvisningen visar de första 100 output-raderna så att webbläsaren förblir responsiv. Ladda ner hela CSV-filen när du har bekräftat att delningen är korrekt."]},{"TITLE":"Kompatibelt med flera CSV-kodningar","PARAGRAPHS":["CSV-filer från kalkylblad och äldre exporter är inte alltid kodade på samma sätt. Det här verktyget stöder vanliga CSV-kodningar, inklusive UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 och filer i Latin-1-stil.","Det gör verktyget mer pålitligt när du behöver dela rader i CSV-filer som innehåller accenter, specialtecken eller äldre exportformat som ofta orsakar problem i enklare onlineverktyg."]},{"TITLE":"Din fil lämnar aldrig webbläsaren","PARAGRAPHS":["All parsning och delning sker lokalt i din webbläsare med hjälp av en Web Worker. Ingen fil laddas upp till en server. Det är viktigt när du arbetar med kunddata, CRM-exporter eller konfidentiella kontaktlistor.","Det här verktyget är gratis att använda och kräver inget konto."]}],"USE_CASES_TITLE":"När du ska använda det här verktyget","USE_CASES":[{"TITLE":"Dela kommaseparerade värden till rader","BODY":"Förvandla `a,b,c` i en enda cell till tre separata rader — det vanligaste användningsfallet för CRM- och e-handelsexporter."},{"TITLE":"Normalisera CSV med flera emails per cell","BODY":"Expandera kontaktlistor där en person har flera emails samlade i en enda kolumn så att varje email får sin egen rad."},{"TITLE":"Dela en kolumn med flera värden till rader","BODY":"När en CSV-kolumn innehåller flera värden i en enda cell kan du expandera den till separata rader så att filen blir enklare att importera, filtrera och analysera."},{"TITLE":"Expandera taggar och kategorier","BODY":"Produktkataloger, blogginlägg och supportärenden lagrar ofta flera taggar i samma fält. Normalisera dem före analys."},{"TITLE":"Dela upp telefonnummer","BODY":"När kontakter har flera telefonnummer i en enda cell kan du dela dem till individuella rader för renare importer till dialers eller CRM."},{"TITLE":"Tidy data för deduplicering","BODY":"Ett värde per rad är standarden för tidy data. Efter delning kan du använda Datablist för att deduplicera, filtrera och enricha resultaten."},{"TITLE":"Förbered data för importer","BODY":"De flesta CRM- och marknadsföringsplattformar förväntar sig ett värde per rad. Delning är ofta första steget innan du importerar eller enrichar din data."}],"VOCABULARY":{"TITLE":"CSV explode, unnest, flatten eller unpivot","PARAGRAPHS":["Olika verktyg beskriver den här transformationen på olika sätt. Du kanske letar efter ett verktyg för CSV explode column, ett sätt att unnest en CSV-kolumn, en metod för att flatten en CSV-kolumn eller ett workflow för CSV unpivot multi-value column.","I praktiken är målet detsamma: tidy data med flera värden per cell så att ett värde blir en rad. Den strukturen är enklare att sammanfoga, deduplicera, gruppera, enricha och exportera."]},"FAQ_TITLE":"Vanliga frågor","FAQ_ITEMS":[{"QUESTION":"Kan jag använda semikolon som cellavgränsare?","ANSWER":"Ja. Verktyget stöder komma, semikolon, pipe, tab och egna avgränsare. Det försöker också automatiskt upptäcka rätt avgränsare från din data när du väljer en kolumn."},{"QUESTION":"Fungerar det med stora CSV-filer?","ANSWER":"Ja. Delningen sker i en Web Worker så att webbläsaren inte blockeras. Förhandsvisningen är begränsad till 100 rader, men hela output-filen kan laddas ner även när din fil har tiotusentals rader."},{"QUESTION":"Laddas min data upp till en server?","ANSWER":"Nej. Allt körs lokalt i din webbläsare. Din CSV skickas aldrig till någon server. Det gör verktyget säkert för kunddata, interna exporter och allt annat du inte vill ladda upp."},{"QUESTION":"Vilka CSV-kodningar stöds?","ANSWER":"Verktyget är kompatibelt med vanliga CSV-kodningar, inklusive UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 och filer i Latin-1-stil. Det hjälper när din CSV kommer från Excel, äldre programvara eller exporter med accenttecken."},{"QUESTION":"Vad händer med celler som inte innehåller avgränsaren?","ANSWER":"De behålls som de är. Endast celler som faktiskt innehåller avgränsartecknet expanderas till flera rader. Tomma celler behålls också som standard."},{"QUESTION":"Hanterar det citerade CSV-fält korrekt?","ANSWER":"Ja. Den underliggande CSV-parsern hanterar citerade fält korrekt. Ett värde som \"mia.chen@example.test,mia@workmail.test\" behandlas som ett enda värde och delas enligt cellavgränsaren, inte CSV-separatorn."}],"CTA_TITLE":"Behöver du deduplicera eller enricha din data efter delning?","CTA_DESC":"När din data är normaliserad — ett värde per rad — gör Datablist det enkelt att deduplicera kontakter, enricha med extern data, filtrera efter valfri kolumn och exportera en ren slutfil.","CTA_LABEL":"Testa Datablist gratis","OTHER_TOOLS_DESC":"Behöver du ett annat dataverktyg efter att du delat din CSV? De här verktygen täcker närliggande workflows för datarensning och konvertering."},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — Dela CSV-filer efter rader, storlek, värden, regler eller datum","PAGE_DESC":"Gratis online CSV Splitter för stökiga exporter från verkligheten. Upptäck kolumner automatiskt, få smarta förslag för uppdelning, förhandsgranska utdatafiler och ladda ner CSV- eller ZIP-resultat direkt i din webbläsare.","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"Gratis online CSV splitter som kan dela upp efter rader, filstorlek, grupperade värden, regler och datumintervall. Körs helt i webbläsaren och laddar ner exporter med flera filer som ZIP-arkiv.","TOOL":{"ANALYSIS_COLUMNS":"Kolumner","ANALYSIS_DELIMITER":"Avgränsare","ANALYSIS_ENCODING":"Teckenkodning","ANALYSIS_ROWS":"Rader","DOWNLOAD_ACTIVE_FILE":"Ladda ner aktiv fil","EMPTY_SOURCE_LABEL":"Ladda upp en CSV eller klistra in den nedan","ERROR_INVALID_ROWS_PER_FILE":"Antal rader per fil måste vara ett heltal större än 0.","ERROR_LOAD_FILE":"Det gick inte att läsa in den här CSV-filen.","ERROR_LOAD_PASTED_CSV":"Det gick inte att läsa den inklistrade CSV:n.","ERROR_MISSING_RULES":"Lägg till minst en regel innan du förhandsgranskar denna uppdelning.","ERROR_MISSING_SOURCE":"Klistra in en CSV innan du fortsätter.","ERROR_MISSING_SOURCE_FOR_PREVIEW":"Ladda upp eller klistra först in en CSV.","ERROR_RULE_FILE_LABEL":"Varje regel behöver ett namn på målfilen innan du kan förhandsgranska denna uppdelning.","FILE_HINT":"CSV-avgränsare, radbrytningar inom citattecken, duplicerade headers och teckenkodning hanteras automatiskt.","LOAD_FIRST_DESC":"Ladda upp en fil eller klistra in CSV, och välj sedan ett uppdelningsläge för att fortsätta.","LOAD_FIRST_TITLE":"Ladda först in en CSV","MODE_LOCKED_HINT":"Ladda upp eller klistra in en CSV för att låsa upp dessa uppdelningslägen.","MODE_OPTIONS":[{"DESCRIPTION":"Skapa filer med ett fast antal rader. Detta är det säkraste standardvalet för de flesta exporter.","LABEL":"Dela upp efter rader","MODE":"rows"},{"DESCRIPTION":"Håll varje fil under en ungefärlig uppladdningsgräns när ett annat verktyg inte accepterar större CSV-filer.","LABEL":"Dela upp efter filstorlek","MODE":"size"},{"DESCRIPTION":"Skapa en fil per land, ägare, status eller annan återkommande kategori.","LABEL":"Dela upp efter kolumnvärden","MODE":"column_value"},{"DESCRIPTION":"Skicka rader till filer baserat på enkla villkor som land, email-domän eller företagsstorlek.","LABEL":"Dela upp efter regler","MODE":"conditional"},{"DESCRIPTION":"Gruppera rader efter månad, år eller ISO-vecka med hjälp av en datumkolumn.","LABEL":"Dela upp efter datumintervall","MODE":"date_range"}],"PASTE_CARD_DESC":"Praktiskt för snabba tester eller när filen redan finns i urklipp.","PASTE_CARD_TITLE":"Klistra in CSV","PASTE_DROP_HINT":"Klistra in eller släpp en fil","PASTED_LABEL":"Inklistrad CSV","PREPARING_MODE_DESC":"Det här läget behöver en djupare skanning av kolumnerna innan inställningarna kan visas.","PREPARING_MODE_TITLE":"Förbereder detta uppdelningsläge","PREVIEW_AFTER_BUILD_DESC":"Välj ett uppdelningsläge, justera inställningarna och förhandsgranska utdatafilerna innan du laddar ner.","PREVIEW_AFTER_BUILD_TITLE":"Förhandsgranskning kommer efter att du har byggt uppdelningen","PREVIEW_PANEL_DESC":"Granska antal filer, varningar och förhandsgranskningen av varje utdata innan nedladdning.","PREVIEW_PANEL_TITLE":"Förhandsgranska och ladda ner","PREVIEW_SPLIT_LABEL":"Förhandsgranska uppdelning","READY_TO_SPLIT":"Klar att dela upp","STATUS_ANALYSIS_READY":"Analysen är klar","STATUS_ANALYZING":"Analyserar kolumner…","STATUS_BUILDING_PREVIEW":"Bygger förhandsgranskning av uppdelning…","STATUS_CHOOSE_MODE":"Välj ett uppdelningsläge","STATUS_LOADING_PREVIEW":"Laddar filförhandsgranskning…","STATUS_PREPARING_DOWNLOAD":"Förbereder filnedladdning…","STATUS_PREPARING_ZIP":"Förbereder ZIP-arkiv…","STATUS_PREVIEW_READY":"Förhandsgranskning klar","STATUS_READY_TO_SPLIT":"Klar att dela upp","STATUS_SETTINGS_READY":"Justera inställningarna och förhandsgranska","STATUS_UNABLE_LOAD_CSV":"Det gick inte att läsa in CSV","STATUS_UNABLE_LOAD_FILE":"Det gick inte att läsa in filen","STATUS_WAITING":"Väntar på en CSV-fil","STATUS_ZIP_READY":"ZIP klar","UPLOAD_CSV":"Ladda upp CSV","USE_CSV":"Använd CSV","UI":{"NAME_EMAIL_COUNTRY_10_ALICE_ALICE_EXAMPLE":"namn,email,land\nAlice,alice@example.com,FR","ROWS_PER_FILE":"Rader per fil","MAX_SIZE_PER_FILE_BYTES":"Maxstorlek per fil (byte)","USE_250000_FOR_ROUGHLY_250_KB_1000000":"Använd 250000 för cirka 250 KB och 1000000 för cirka 1 MB.","GOOD_WHEN_DOWNSTREAM_TOOLS_HAVE_UPLOAD_LIMITS":"Bra när efterföljande verktyg har uppladdningsgränser","SIZE_BASED_CHUNKS_USE_EXACT_ROW_SIZES":"Storleksbaserade delar använder exakta radstorlekar, men stora variationer i radlängd gör resultatet mindre förutsägbart än vid radbaserad uppdelning.","SPLIT_BY_COLUMN_S":"Dela upp efter kolumn(er)","USE_ONE_COLUMN_FOR_SIMPLE_SEGMENTATION_OR":"Använd en kolumn för enkel segmentering eller kombinera flera kolumner för mer detaljerade resultat.","LIMIT_OUTPUT_FILES":"Begränsa antalet utdatafiler","RULE_BUILDER":"Regelbyggare","RULES_RUN_IN_ORDER_CHOOSE_FIRST_MATCH":"Reglerna körs i ordning. Välj läget för endast första matchningen eller tillåt att rader hamnar i flera filer.","ADD_RULE":"Lägg till regel","RULE":"Regel","REMOVE":"Ta bort","EQUALS":"är lika med","DOES_NOT_EQUAL":"är inte lika med","CONTAINS":"innehåller","DOES_NOT_CONTAIN":"innehåller inte","STARTS_WITH":"börjar med","ENDS_WITH":"slutar med","GREATER_THAN":"är större än","GREATER_THAN_OR_EQUAL":"är större än eller lika med","LESS_THAN":"är mindre än","LESS_THAN_OR_EQUAL":"är mindre än eller lika med","IS_EMPTY":"är tomt","IS_NOT_EMPTY":"är inte tomt","COMPARISON_VALUE":"Jämförelsevärde","DESTINATION_FILE_NAME":"Målfilens namn","THIS_IS_THE_FILE_THAT_WILL_RECEIVE":"Det här är filen som tar emot rader som matchar regeln. Exempel: enterprise, gmail eller north-america.","EXAMPLE_ENTERPRISE":"Exempel: enterprise","CASE_SENSITIVE":"Skiftlägeskänslig","DATE_COLUMN":"Datumkolumn","GROUP_BY":"Gruppera efter","MONTH":"Månad","YEAR":"År","ISO_WEEK":"ISO-vecka","ADVANCED_SETTINGS":"Avancerade inställningar","USE_THESE_ONLY_WHEN_THE_SIMPLE_SETUP":"Använd endast dessa när den enkla konfigurationen inte räcker. Här finns alternativ för projektion och finjustering.","EXPORT_SETTINGS":"Exportinställningar","FILENAME_PATTERN":"Filnamnsmönster","USE_VARIABLES_LIKE_INDEX_AND_LABEL_EXAMPLE":"Använd variabler som {index} och {label}. Exempel: batch-{index}-{label}","STARTING_NUMBER":"Startnummer","THE_FIRST_FILE_INDEX_USED_WHEN_INDEX":"Det första filindexet som används när {index} förekommer i filnamnsmönstret.","COLUMNS_TO_KEEP_IN_THE_OUTPUT":"Kolumner som ska behållas i utdata","PROJECTION_HAPPENS_BEFORE_THE_SPLIT_IT_REDUCES":"Projektionen sker före uppdelningen. Den minskar filstorleken och ger renare exporterade filer.","SELECT_ALL":"Markera alla","UNSELECT_ALL":"Avmarkera alla","ROW_SETTINGS":"Radinställningar","OVERLAP_ROWS":"Överlappande rader","USEFUL_WHEN_BATCH_TOOLS_NEED_CONTEXT_IN":"Användbart när batchverktyg behöver sammanhang i nästa fil.","SHUFFLE_ROWS":"Blanda rader","USEFUL_FOR_EXPERIMENTS_AND_SAMPLING":"Användbart för experiment och stickprov.","KEEP_GROUPED_ROWS_TOGETHER":"Håll grupperade rader tillsammans","AVOID_BREAKING_THE_SAME_GROUP_ACROSS_FILES":"Undvik att dela upp samma grupp mellan flera filer.","GROUPING_COLUMN":"Grupperingskolumn","CHOOSE_A_COLUMN":"Välj en kolumn","COLUMN_VALUE_SETTINGS":"Inställningar för kolumnvärden","RARE_VALUE_HANDLING":"Hantering av sällsynta värden","KEEP_EVERY_DISTINCT_VALUE":"Behåll varje unikt värde","KEEP_TOP_N_VALUES_GROUP_THE_REST":"Behåll de N vanligaste värdena och gruppera resten","GROUP_BUCKETS_BELOW_A_ROW_THRESHOLD":"Gruppera kategorier under ett tröskelvärde för antal rader","TOP_N_VALUES_TO_KEEP":"Antal toppvärden att behålla","MINIMUM_ROWS_PER_BUCKET":"Minsta antal rader per kategori","OTHER_BUCKET_LABEL":"Etikett för kategorin Övrigt","ALSO_SPLIT_LARGE_GROUPS_BY_FILE_SIZE":"Dela även upp stora grupper efter filstorlek","USEFUL_WHEN_ONE_SEGMENT_IS_MUCH_BIGGER":"Användbart när ett segment är mycket större än resten.","MAX_SIZE_PER_GROUPED_FILE_BYTES":"Maxstorlek per grupperad fil (byte)","RULE_SETTINGS":"Regelinställningar","FIRST_MATCH_ONLY":"Endast första matchningen","TURN_THIS_OFF_TO_DUPLICATE_A_ROW":"Stäng av detta om en rad ska kopieras till flera utdatafiler.","KEEP_UNMATCHED_ROWS_IN_A_SEPARATE_FILE":"Behåll omatchade rader i en separat fil","TURN_THIS_ON_IF_YOU_WANT_ROWS":"Aktivera detta om rader som inte matchar någon regel ska placeras i en egen export.","UNMATCHED_ROWS_FILE_NAME":"Filnamn för omatchade rader","THIS_NAME_IS_USED_FOR_THE_EXTRA":"Det här namnet används för den extra fil som samlar rader som inte matchar någon av dina regler.","DATE_SETTINGS":"Datuminställningar","DATE_FORMAT":"Datumformat","USE_A_FIXED_FORMAT_WHEN_THE_ANALYZER":"Använd ett fast format när analysverktyget har gissat fel.","AUTO_DETECT":"Identifiera automatiskt","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":"Ogiltiga datum","SEND_TO_A_SEPARATE_FILE":"Skicka till en separat fil","SKIP_INVALID_ROWS":"Hoppa över ogiltiga rader","INVALID_DATE_FILE_LABEL":"Etikett för fil med ogiltiga datum","COLUMN_TYPE_OVERRIDES":"Åsidosätt kolumntyper","USE_THIS_WHEN_A_NUMBER_OR_DATE":"Använd detta när en tal- eller datumkolumn har identifierats felaktigt. Det påverkar regeljämförelser och datumbaserade uppdelningar.","DETECTED_AS":"Identifierad som","TEXT":"Text","NUMBER":"Tal","DATE":"Datum","COMMA_THOUSANDS_SEPARATOR":"Komma som tusentalsavgränsare","DOT_THOUSANDS_SEPARATOR":"Punkt som tusentalsavgränsare","SPACE_THOUSANDS_SEPARATOR":"Mellanslag som tusentalsavgränsare","APOSTROPHE_THOUSANDS_SEPARATOR":"Apostrof som tusentalsavgränsare","NO_THOUSANDS_SEPARATOR":"Ingen tusentalsavgränsare","ONLY":"Endast","ROWS_SHOWN_IN_PREVIEW":"rader visas i förhandsgranskningen","PREVIEW_LOADS_ON_DEMAND_FOR_THIS_FILE":"Förhandsgranskningen läses in vid behov för den här filen","LARGE_ROW_BASED_SPLITS_ONLY_PRELOAD_THE":"Vid stora radbaserade uppdelningar förladdas endast den första filen så att förhandsgranskningen förblir snabb.","SUGGESTED_GROUPING_COLUMNS":"Föreslagna grupperingskolumner","GROUPS":"grupper","LARGEST":"Störst:","SMALLEST":"Minst:","MEDIAN":"Median:","NO_STRONG_GROUPING_COLUMN_WAS_DETECTED_ROW":"Ingen tydlig grupperingskolumn identifierades. Rad- eller storleksbaserad uppdelning är säkrare standardalternativ för den här filen.","FILE_ANALYSIS":"Filanalys","DUPLICATE_HEADERS":"Dubbletter av kolumnrubriker:","EMPTY_COLUMNS":"Tomma kolumner:","LARGE_TEXT_COLUMNS":"Kolumner med stora textmängder:","LEARN_MORE_ABOUT":"Läs mer om {title}","SOMETHING_WENT_WRONG":"Något gick fel","TAB":"Tabb","DOWNLOAD_ZIP":"Ladda ned ZIP","OUTPUT_FILES":"Utdatafiler","PROJECTED_COLUMNS":"Valda utdatakolumner","LARGEST_FILE":"Största filen","ZIP_SIZE":"ZIP-storlek","ROWS_COUNT":"{count} rader","OUTPUT_FILE_META":"{rows} rader · {size}","ROWS_SHOWN":"Endast {count} rader visas i förhandsgranskningen","GROUPS_COUNT":"{count} grupper","NONE":"inga"}},"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":"Dela CSV-filer efter innebörd, inte bara efter chunk size","HERO_DESC":"Många CSV splitter-verktyg stannar vid ”var 1 000:e rad”. Riktiga exporter är stökigare. Ibland behöver du en fil per land, en fil per månad, en fil för enterprise-konton eller en reservfil för rader som inte matchade något. Det här verktyget är byggt för den verkligheten.","INTRO_CARDS":[{"TITLE":"Smart analys före uppdelningen","PARAGRAPHS":["Verktyget upptäcker automatiskt encoding, delimiter, duplicerade headers, tomma kolumner, textfält med mycket innehåll och grupperingskolumner med låg kardinalitet. Det gör det enklare att välja en praktisk uppdelning i stället för att gissa.","Du får också varningar när en uppdelning är riskabel: för många utdatafiler, för många pyttesmå filer eller en jättestor grupp som är mycket större än resten."]},{"TITLE":"Byggt för stora CSV-exporter från verkligheten","PARAGRAPHS":["Stora filer stannar på klientsidan. Du förhandsgranskar resultatet innan nedladdning, behåller bara de kolumner du behöver och exporterar en fil eller flera filer i ett ZIP-arkiv.","Det fungerar bra för outreach-batcher, överlämningar per land, CRM-rensning, compliance-granskningar och historiska utsnitt per månad."]}],"GUIDE_TITLE":"Guide till inställningarna för de knepiga delarna","GUIDE_DESC":"Vissa inställningar för uppdelning är kraftfulla, men inte självklara vid första anblicken. Hjälpikonerna i verktyget hoppar till motsvarande förklaringar nedan så att du kan förstå vad en inställning faktiskt ändrar innan du förhandsgranskar uppdelningen.","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, överlappning och storleksbaserade chunks","DESCRIPTION":"Det här är de snabbaste sätten att dela upp och oftast de säkraste när du bara behöver mindre filer.","PARAGRAPHS":["Rader per fil ger varje utdata ungefär samma antal rader. Det passar bäst när nedströmsverktyg bryr sig om batchstorlek, inte kategori eller innebörd.","Överlappande rader upprepar några rader i gränsen mellan filer. Använd det bara när nästa batch behöver lite kontext från den föregående.","Behåll grupperade rader tillsammans gör att verktyget inte delar upp samma konto, företag eller order över flera filer. Det är viktigt när rader som tillhör samma entitet ska hållas ihop.","Max storlek per fil är till för upload-gränser. Den försöker hålla sig under ett byte-mål, men radlängder kan variera, så den sista filen eller vissa filer kan ändå kännas mindre jämna än vid radbaserade chunks."]},{"ID":"csv-splitter-help-column-values","EXTRA_IDS":["csv-splitter-help-rare-values","csv-splitter-help-large-groups"],"ICON":"split","TITLE":"Grupperade utdata och ovanliga värden","DESCRIPTION":"Värdebaserad uppdelning är bäst när en CSV per land, ägare, status eller källa gör resultatet enklare att granska eller lämna över.","PARAGRAPHS":["Dela upp efter kolumn(er) skapar en utdata per unikt värde eller värdekombination. En kolumn ger enklare utdata; två eller fler kolumner skapar mer granulära filer.","Hantering av ovanliga värden hjälper när enstaka värden annars skulle skapa för många pyttesmå filer. Du kan behålla bara de största grupperna och slå ihop resten i en ”other”-grupp.","Dela även upp stora grupper efter filstorlek är användbart när en kategori är mycket större än resten. Det behåller grupperingslogiken, men förhindrar att en enda jättestor fil dominerar exporten."]},{"ID":"csv-splitter-help-rules","EXTRA_IDS":["csv-splitter-help-unmatched"],"ICON":"rules","TITLE":"Regler, första träff och omatchade rader","DESCRIPTION":"Regelbaserad uppdelning är användbar när filernas destination styrs av affärslogik i stället för en enkel grupperingskolumn.","PARAGRAPHS":["Bara första träff betyder att en rad stannar vid den första regel den matchar. Stäng bara av det när du medvetet vill kopiera samma rad till flera utdatafiler.","Behåll omatchade rader i en separat fil ser till att rader som inte uppfyller någon av dina regler ändå bevaras i en egen export.","Filnamn för omatchade rader är helt enkelt namnet på den uppsamlingsfilen. Det hjälper när du vill ha en tydlig utdata 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":"Datum, exportinställningar och renare utdatafiler","DESCRIPTION":"De här inställningarna spelar roll när indata är stökig eller när exporterade filnamn behöver passa in i ett befintligt workflow.","PARAGRAPHS":["Datumformat finns där för tvetydiga datumkolumner. Om detektorn gissar fel kan du tvinga fram det förväntade formatet innan gruppering per månad, år eller vecka.","Ogiltiga datum låter dig bestämma om felaktiga värden ska hoppas över eller flyttas till en separat fil. Det är säkrare än att tyst förlora rader.","Filnamnsmönster styr de slutliga utdatanamnen. Använd variabler som <code>{index}</code> och <code>{label}</code> när dina batcher behöver förutsägbar numrering.","Kolumner att behålla i utdata tar bort onödiga kolumner före uppdelningen. Det gör exporterna lättare och renare, särskilt när den ursprungliga CSV-filen har hjälpkolumner som du inte vill skicka vidare nedströms."]}],"EDGE_TITLE":"Edge cases som det här verktyget hanterar","EDGE_DESC":"Riktiga CSV-exporter är sällan rena. Det här verktyget är byggt för att hantera de irriterande fallen som vanligtvis får enklare splitters att fallera.","EDGE_CASES":[{"ICON":"shield","TITLE":"Celler inom citationstecken, inbäddade kommatecken och radbrytningar","DESCRIPTION":"Rader delas inte bara för att en cell inom citationstecken innehåller ett kommatecken eller en radbrytning.","BODY":"Parsern håller citerade CSV-värden intakta, så att adresser, anteckningar eller långa textfält inte bryts upp i falska rader under uppdelningen."},{"ICON":"files","TITLE":"Duplicerade headers, tomma kolumner och projicerad utdata","DESCRIPTION":"Stökiga headers och överdimensionerade exporter är vanliga i exporter från CRM, ekonomi och support.","BODY":"Duplicerade headers normaliseras så att jämförelser fortfarande fungerar. Tomma kolumner kan identifieras, och projection låter dig ta bort kolumner innan utdatafiler genereras."},{"ICON":"rows","TITLE":"Stora filer och lazy preview","DESCRIPTION":"Förhandsgranskningen ska hjälpa dig att välja, inte blockera dig från att bearbeta stora filer.","BODY":"För stora radbaserade uppdelningar kan verktyget hålla preview lättviktig och bara förladda den första utdatafilen. Sekundära previews och nedladdningar materialiseras vid behov."},{"ICON":"dates","TITLE":"Ogiltiga datum, omatchade regler och ojämna grupper","DESCRIPTION":"Splittern håller rader i edge cases synliga i stället för att tyst kasta bort dem.","BODY":"Rader med ogiltiga datum kan läggas i en separat fil, rader som inte matchar någon regel kan behållas i en egen export, och grupperade uppdelningar kan varna dig när ett segment är mycket större än resten."}],"EXAMPLES":{"COUNTRY":{"TITLE":"Dela upp efter land eller status","DESCRIPTION":"Använd uppdelning efter grupperade värden när du vill ha en CSV per land, ägare, status, källa eller något annat fält med låg kardinalitet."},"RULES":{"TITLE":"Bygg regelbaserade utdatafiler","DESCRIPTION":"Villkorsregler låter dig definiera praktiska destinationer som enterprise-konton, Gmail-adresser eller reservrader som inte matchar något."},"INPUT_LABEL":"Indata","OUTPUT_LABEL":"Utdata"},"FAQ_ITEMS":[{"QUESTION":"Kan jag dela upp en CSV efter kolumnvärde?","ANSWER":"Ja. Välj en eller flera kolumner, förhandsgranska antalet grupper, sätt eventuellt ett tak för antalet utdatafiler och gruppera ovanliga värden i en ”other”-fil."},{"QUESTION":"Kan jag dela upp en CSV efter filstorlek?","ANSWER":"Ja. Ange ett byte-mål per fil. Det är användbart när ett annat verktyg har upload-gränser. Förhandsgranskningen varnar när radlängderna varierar för mycket för tillförlitliga uppskattningar."},{"QUESTION":"Kan jag dela upp en CSV per månad eller år?","ANSWER":"Ja. Välj en datumkolumn, välj månad, år eller ISO-vecka och bestäm om ogiltiga datum ska hamna i en egen fil eller hoppas över."},{"QUESTION":"Skapar verktyget ett ZIP-arkiv?","ANSWER":"Ja. Uppdelningar med en enda utdata laddas ner som CSV. Uppdelningar med flera filer laddas ner som ZIP så att stora segmenterade exporter förblir hanterbara."}],"FAQ_TITLE":"Vanliga frågor"},"ToolsDomainFinder":{"CONTENT":{"META_TITLE":"Gratis sökverktyg från företagsnamn till domän | Datablist","META_SOCIAL_TITLE":"Gratis sökverktyg från företagsnamn till domän","META_DESCRIPTION":"Klistra in upp till 10 företagsnamn och hitta deras webbplatser direkt. Gratis, inget betalkort krävs.","HERO":{"TITLE":"Hitta domän från företagsnamn","DESCRIPTION":"Klistra in en lista med företagsnamn och få deras webbplatser på några sekunder. Gratis, inget kort krävs."},"PROOF":{"TITLE":"Bygger på verkliga data, inte gissningar","EYEBROW":"Det här finns faktiskt i databasen","BODY":"Samma företagsdata som ligger bakom Datablists betalda produkt för databerikning, dubbelkontrollerade mot kända moder- och dotterbolagsrelationer så att en träff inte i det tysta pekar på fel varumärke.","STATS":[{"value":"85%+","label":"träffsäkerhet"},{"value":"3","label":"söklägen"},{"value":"32M","label":"företag"}]},"SOCIAL":{"TITLE":"Används av startups och storföretag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för 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":"Så fungerar det","STEPS":[{"step":1,"title":"Klistra in din lista","body":"Kopiera företagsnamn från en CRM-export, en kolumn i ett kalkylark eller en ofärdig leadlista och klistra in dem i vårt kostnadsfria verktyg för att hitta domäner från företagsnamn. Vi delar automatiskt upp poster vid nya rader eller kommatecken och tar bort exakta dubbletter."},{"step":2,"title":"Vi söker först i databasen och sedan på Google","body":"Varje namn matchas mot Datablists egen företagsdatabas – samma data som ligger bakom vår betalda produkt för databerikning. Om vi inte hittar någon säker träff där går vi vidare med en Google-sökning i realtid. Vi tar inte bara det första resultatet: varje kandidat poängsätts efter hur väl den matchar företaget du sökte efter, så att en katalogpost eller nyhetsartikel om företaget inte returneras som dess webbplats."},{"step":3,"title":"Varje resultat får en konfidensnivå","body":"Alla domänträffar är inte lika säkra. Därför får varje rad nivån Hög, Medel eller Låg, baserat på hur väl namnet matchade och hur domänen hittades. Rader med hög konfidens kan användas direkt. Resultat med medelhög eller låg konfidens bör granskas snabbt innan de läggs till i en outreach-lista."}],"FLOW":["Företagsdatabas","ingen säker träff","Google-sökning i realtid","verifierat resultat"],"CTA":{"TITLE":"500 kostnadsfria sökningar, inget kort krävs","BODY":"Med ett kostnadsfritt konto försvinner gränsen på 10 namn och du får 500 krediter från start.","LABEL":"Skapa ett kostnadsfritt konto"}},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Personalisering av cold outreach","body":"Hitta webbplatsen innan du skriver ditt email, så att inledningen hänvisar till något verkligt.","ctaLabel":"Guide till personalisering av cold email","ctaHref":"https://www.datablist.com/how-to/cold-email-personalization-tactics"},{"title":"Berikning av leadlistor","body":"Fyll i domäner som saknas i en prospektlista innan den förs över till ditt CRM eller sekvenseringsverktyg.","ctaLabel":"Guide till berikning av leadlistor","ctaHref":"https://www.datablist.com/how-to/lead-list-building-guide"},{"title":"CRM-rensning","body":"Koppla en fristående företagspost till dess riktiga webbplats igen.","ctaLabel":"Guide till CRM-rensning","ctaHref":"https://www.datablist.com/how-to/clean-enrich-refresh-data-crm"},{"title":"Företagsresearch inom nischade segment","body":"Hitta webbplatser för mindre eller nyare företag som generella sökmotorer och inaktuella databaser missar.","ctaLabel":"Guide till företagsresearch","ctaHref":"https://www.datablist.com/how-to/chatgpt-search-on-spreadsheet"}]},"COMPARISON":{"TITLE":"Datablist jämfört med andra domänsökverktyg","HEADERS":["Verktyg","Månadskostnad","Kostnad/domän","Passar bäst för"],"ROWS":[{"tool":"Datablist","cost":"$$25","perDomain":"$$0.005","bestFor":"Prisvärd uppbyggnad av leadlistor och databerikning i stor skala","favicon":"/free-tools/domain-finder/tool-favicons/datablist.png"},{"tool":"Company URL Finder","cost":"$$49","perDomain":"$$0.049","bestFor":"Team som redan arbetar i Google Kalkylark","favicon":"/free-tools/domain-finder/tool-favicons/company-url-finder.png"},{"tool":"CUFinder","cost":"$$49","perDomain":"$$0.049","bestFor":"Omfattande API-integrationer","favicon":"/free-tools/domain-finder/tool-favicons/cufinder.png"},{"tool":"Clay","cost":"$$185","perDomain":"$$0.0745","bestFor":"Komplexa workflows för databerikning","favicon":"/free-tools/domain-finder/tool-favicons/clay.png"},{"tool":"Phantombuster","cost":"$$69","perDomain":"Varierar","bestFor":"Befintliga Phantombuster-användare","favicon":"/free-tools/domain-finder/tool-favicons/phantombuster.png"},{"tool":"Marcom Robot","cost":"$$59","perDomain":"$$0.059","bestFor":"Begränsade användningsområden","favicon":"/free-tools/domain-finder/tool-favicons/marcom-robot.png"},{"tool":"BuiltWith","cost":"$$295","perDomain":"Premium","bestFor":"Teknikbaserad prospektering","favicon":"/free-tools/domain-finder/tool-favicons/builtwith.png"}],"NOTE":"Priserna avser varje verktygs billigaste betalplan med månadsvis fakturering och kontrollerades mot leverantörens egen prissida i september 2026. Kostnaden per domän har beräknats utifrån antalet sökningar som ingår i planen.","SOURCES":[{"n":1,"label":"Datablists priser","href":"https://www.datablist.com/pricing"},{"n":2,"label":"Company URL Finders planer","href":"https://companyurlfinder.com/plans"},{"n":3,"label":"CUFinders priser","href":"https://cufinder.io/pricing"},{"n":4,"label":"Clays priser","href":"https://www.clay.com/pricing"},{"n":5,"label":"Phantombusters priser","href":"https://phantombuster.com/pricing"},{"n":6,"label":"Marcom Robots priser","href":"https://www.marcomrobot.com/data-enrichment/pricing"},{"n":7,"label":"BuiltWiths planer","href":"https://builtwith.com/plans"}],"CTA":{"TITLE":"Sluta betala per domän","BODY":"Datablist kostar $0.005 per domän. Börja gratis med 500 krediter, utan kort.","LABEL":"Skapa ett kostnadsfritt konto"}},"RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du hantera större volymer?","ENRICHMENT":{"label":"Domain Finder-berikning","href":"https://www.datablist.com/enrichments/find-domain-for-company-name-bulk","blurb":"Bearbeta ett helt kalkylark i stället för tio namn åt gången, med samma matchning som först söker i databasen och sedan på Google."},"TOOLS":[{"label":"Sales Navigator Scraper","href":"https://www.datablist.com/tools/sales-navigator-scraper","blurb":"Hämta leads från en sök-URL utan att använda ditt LinkedIn-konto."},{"label":"Gratis Email Finder","href":"https://www.datablist.com/tools/email-finder","blurb":"Hitta jobb-email utifrån ett namn och ett företag."},{"label":"Company Name Cleaner","href":"https://www.datablist.com/tools/company-name-cleaner","blurb":"Ta bort bolagssuffix och korrigera skiftläge med AI-rensaren."}]},"FAQ":{"TITLE":"Vanliga frågor","ITEMS":[{"question":"Hur många domäner kan jag söka efter gratis?","answer":"10 namn per körning, utan konto eller kort. Kör verktyget igen när du behöver, inom gränserna för skälig användning som förhindrar automatiserad användning i stor skala."},{"question":"Vad gör jag om jag behöver bearbeta fler än 10 samtidigt?","answer":"Skapa ett kostnadsfritt konto så försvinner gränsen på 10 namn. Du får 500 kostnadsfria krediter från start för att direkt testa större batcher. För regelbunden massbearbetning ger Starter-planens 5,000 krediter per månad god marginal, till en kostnad på $0.005 per domänträff i databasen eller $0.0125 per Google-sökning."},{"question":"Vad hände med Clearbits kostnadsfria Name to Domain API?","answer":"Det avvecklades den 30 april 2025. Det här verktyget är en fristående direkt ersättare och har en konfidensnivå per rad, något Clearbit aldrig erbjöd."},{"question":"Kan jag använda verktyget via ett API?","answer":"Ja, Datablist erbjuder ett API från företagsnamn till domän som gör att du kan hitta ett företags webbplats programmatiskt. Installationsanvisningar finns i guiden för API-implementering på datablist.com/how-to/company-name-to-domain-api-enrichment."}]},"BREADCRUMB_CURRENT":"Domain Finder","SCHEMA_NAME":"Datablists kostnadsfria sökverktyg från företagsnamn till domän","SCHEMA_DESCRIPTION":"Kostnadsfritt onlineverktyg för att hitta domäner från företagsnamn. Klistra in en lista med företagsnamn och få deras webbplatser, med en konfidensnivå för varje träff."},"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":"Din lista","DESCRIPTION":"Klistra in upp till 10 företagsnamn och hitta deras domäner på några sekunder.","PLACEHOLDERS":["Datablist","Celonis","Företagsnamn"],"ROW_LABEL":"Företagsnamn, rad {number}","REMOVE_ROW":"Ta bort rad {number}","ADD_ROW":"Lägg till en rad","ROW_LIMIT":"Du har nått gränsen på 10 rader för gratisverktyget.","EMPTY":"Klistra in eller skriv ett företagsnamn för att komma igång","READY_ONE":"1 namn klart","READY_MANY":"{count} namn klara","FIND_ONE":"Hitta domän","FIND_MANY":"Hitta domäner","SAMPLE_BUTTON":"Visa exempelresultat","SAMPLE_NOTICE":"Exempelresultat · Dessa tio exempel är endast illustrativa. Konfidensnivåerna är exempel, inte aktuella resultat. Inga krediter användes.","REJECTED_ONE":"1 post verkade inte vara ett företagsnamn och hoppades över.","REJECTED_MANY":"{count} poster verkade inte vara företagsnamn och hoppades över.","OVERFLOW":"Du klistrade in {count} namn – endast de första 10 bearbetades gratis. Den kostnadsfria provperioden omfattar upp till 500 sökningar (1 kredit vardera).","PROCESS_ALL":"Bearbeta alla {count}","NUMBER":"#","COMPANY_NAME":"Företagsnamn","DOMAIN":"Domän","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Ingen träff hittades","COPY_ROW":"Kopiera domän för {name}","START_OVER":"Börja om","COPY_ALL":"Kopiera alla","DOWNLOAD_CSV":"Ladda ner CSV","DOWNLOAD_FILENAME":"domains.csv","HIGH":"Hög","MEDIUM":"Medel","LOW":"Låg","VERY_LOW":"Mycket låg","PRIVACY":"Dina namn och resultat är tillgängliga i den här webbläsaren i 24 timmar. Datablist lagrar uppgiftsdata längre för att kunna slutföra och stödja sökningen.","UNAVAILABLE":"Sökningen är tillfälligt otillgänglig. Du kan fortfarande använda Datablist-appen.","QUOTA_REACHED":"Du har förbrukat dagens kvot för gratisverktyget. Kom tillbaka om {hours} tim {minutes} min eller fortsätt i Datablist.","QUOTA_RUN_TOO_LARGE":"Den här sökningen överskrider din återstående dagskvot för gratisverktyget. Prova med färre namn eller kom tillbaka om {hours} tim {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} krediter kvar i dag","QUOTA_REDUCE":"{remaining} krediter kvar i dag. Prova med färre namn.","QUOTA_WAIT":"Dagens kvot är förbrukad. Kom tillbaka om {hours} tim {minutes} min.","CHALLENGE_REQUIRED":"Slutför verifieringen innan du startar sökningen.","RUN_FAILED":"Sökningen kunde inte slutföras. Försök igen senare.","SUBMISSION_UNKNOWN":"Vi kontrollerar om din sökning har startat. Ladda om sidan för att kontrollera statusen. Skicka inte in den igen.","RETRY_STATUS":"Vi kunde inte kontrollera sökningen just nu. Ladda om sidan och försök igen.","EXPIRED":"Resultatet är inte längre tillgängligt i den här webbläsaren.","BANNER":"Skapa ett kostnadsfritt konto och få 500 kostnadsfria sökningar från företagsnamn till domän. Inget kort krävs.","BANNER_CTA":"Få 500 kostnadsfria krediter","RESULT_CTA":"Starta en provperiod och få 500 kostnadsfria sökningar från företagsnamn till domän!","RESULT_CTA_BUTTON":"Starta gratis provperiod","CSV_NAME":"Namn","LOADING":"Laddar","ERROR":"Fel","COMPLETE":"Klar","HISTORY_TITLE":"Dina senaste sökningar","HISTORY_DESCRIPTION":"Öppna eller ta bort en sökning från den här webbläsaren medan resultaten är tillgängliga, i upp till 24 timmar. Att ta bort den här stoppar inte sökningen och återställer inte krediter.","HISTORY_REMOVE":"Ta bort {name} från den här webbläsaren","HISTORY_COMPLETE":"Klar","HISTORY_FAILED":"Behöver åtgärdas","HISTORY_ATTENTION":"Kontrollerar status","HISTORY_RUNNING":"Pågår","COPY_ERROR":"Kopieringen misslyckades. Försök igen eller ladda ner CSV-filen.","DEBUG_NOTICE":"Felsökningsresultat från betaåtgärden. Detta är testdata, inte en sökning efter den angivna personen.","MORE_OPTIONS":"Fler alternativ","COUNTRY_LABEL":"Målland","COUNTRY_HELP":"Begränsa företagsdata och Google-sökningen som reservmetod till ett visst land.","ALL_COUNTRIES":"Alla länder","RUN_OPTIONS":"Körningsalternativ","OPTION_ON":"På","OPTION_OFF":"Av"}},"ToolsSalesNavigatorScraper":{"CONTENT":{"META_TITLE":"Gratis Sales Navigator-scraper | Datablist","META_SOCIAL_TITLE":"Gratis Sales Navigator-scraper","META_DESCRIPTION":"Klistra in URL:en till en Sales Navigator-sökning och förhandsgranska leads gratis. Ingen LinkedIn-inloggning, inga cookies och inget sessions-ID, så ditt konto utsätts aldrig för risk.","SCHEMA_NAME":"Datablists kostnadsfria Sales Navigator-scraper","SCHEMA_DESCRIPTION":"Gratis Sales Navigator-scraper online. Klistra in en sök-URL och förhandsgranska leads utan att ansluta ett LinkedIn-konto – inga cookies eller sessions-ID krävs.","BREADCRUMB_CURRENT":"Sales Navigator-scraper","HERO":{"TITLE":"Testa marknadens säkraste Sales Navigator-scraper gratis!","DESCRIPTION":"Klistra in en sök-URL och förhandsgranska leads direkt."},"SAFETY":{"TITLE":"Därför utsätter detta inte ditt konto för risk","ITEMS":[{"safe":true,"label":"Datablist","body":"Behöver bara en sak: din sök-URL. Inga inloggningsuppgifter, cookies, sessions-ID:n eller tillägg."},{"safe":false,"label":"Chrome-tillägg","body":"Evaboot, Skrapp och liknande verktyg automatiserar klick i din inloggade session. LinkedIns användaravtal förbjuder detta, och det är ditt konto som utsätts för risken."},{"safe":false,"label":"Cookie-baserade molnverktyg","body":"Phantombuster och de flesta Apify-aktörer ber dig att klistra in din li_at-sessionscookie. Det innebär att du lämnar över din inloggade session till en tredje part."}]},"SOCIAL":{"TITLE":"Används av både startups och storföretag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för 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":"Så fungerar det","STEPS":[{"step":1,"title":"Gör din sökning i Sales Navigator","body":"Filtrera efter jobbtitel, senioritetsnivå, plats, antal anställda, bransch eller något annat Sales Navigator-filter tills resultatlistan motsvarar den målgrupp du faktiskt vill nå. Kopiera sedan URL:en direkt från adressfältet."},{"step":2,"title":"Klistra in URL:en här","body":"URL:en är det enda vi behöver. Ingen inloggning, inget lösenord, inget webbläsartillägg och ingen sessionscookie som kopieras från dina utvecklarverktyg. Vi tar bort de kontospecifika parametrar som Sales Navigator lägger till innan URL:en skickas vidare, eftersom vi varken vill ha eller använder dem."},{"step":3,"title":"Vi hämtar datan från vår egen infrastruktur","body":"Extraheringen körs på Datablists servrar, aldrig via din LinkedIn-session. Därför kan ingenting spåras till ditt konto eller räknas mot LinkedIns aktivitetsgränser. Du får tillbaka en ren tabell som är redo att berikas med emails eller skickas till ditt CRM."}],"CTA":{"TITLE":"Hämta en hel sökning, inte bara tio leads","BODY":"Ett gratiskonto börjar med 500 credits och ansluter aldrig till ditt LinkedIn-konto.","LABEL":"Skapa ett gratiskonto"}},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Bygg en leadlista från grunden","body":"Omvandla en välfiltrerad Sales Navigator-sökning till en ren, deduplicerad lista som du faktiskt kan arbeta med, i stället för att bläddra igenom resultaten manuellt.","ctaLabel":"Guide till att bygga leadlistor","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Hitta emails till de leads du hämtar","body":"Ett namn och en titel räcker inte för att kontakta någon. Kör den hämtade listan genom en waterfall email finder som kontrollerar fler än 20 leverantörer innan den ger upp om en kontakt.","ctaLabel":"Hitta emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Exportera en hel sökning på en gång","body":"Om du bläddrar manuellt genom resultaten i Sales Navigator begränsas du till några tiotal leads. Det är först när du exporterar hela sökningen på en gång som listan blir värd att bygga.","ctaLabel":"Exportera leads från Sales Navigator","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"Scrapa utan att riskera att bli blockerad","body":"Om du har skjutit upp scraping för att du inte vill förlora ditt nätverk är detta ett workflow som helt eliminerar risken för ditt konto.","ctaLabel":"Guide till säker scraping","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Jämförelse av Sales Navigator-scrapers","INTRO":"Alla andra verktyg nedan kör scrapingen via din egen LinkedIn-session med hjälp av ett tillägg eller en sessionscookie som du lämnar ut. Datablist är det enda som aldrig ansluter till ditt konto.","HEADERS":["Verktyg","Ditt LinkedIn-konto","Vad verktyget behöver från dig","Startpris","Kostnad/lead","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["Ansluter aldrig till det","En sök-URL","$$25/mån","$$0.05","Ja, 20+ leverantörer"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["Utsätts för risk","Tillägg på ditt konto","$$39/mån","$$0.039","Ja"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["Utsätts för risk","Tillägg på ditt konto","$$9/mån","$$0.09","Ja"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["Utsätts för risk","Din sessionscookie","$$69/mån","Varierar","Ja"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["Utsätts för risk","Din sessionscookie","$$19/mån","Varierar","Nej"]}],"NOTE":"Priserna är respektive verktygs billigaste betalplan med månadsfakturering och kontrollerades mot leverantörens egen prissida i september 2026. Kostnaden per lead beräknas utifrån antalet leads som ingår i planen.","SOURCES":[{"n":1,"label":"Datablists priser","href":"/pricing"},{"n":2,"label":"Skrapps priser","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evaboots priser","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombusters priser","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apifys priser","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Det enda verktyget som inte rör ditt konto","BODY":"Börja gratis med 500 credits. Inget tillägg, ingen sessionscookie och inget betalkort.","LABEL":"Skapa ett gratiskonto"}},"RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du detta i stor skala?","ENRICHMENT":{"label":"Sales Navigator-scraper","href":"/sources/linkedin-search-scraper","blurb":"Scrapa en hel sökning i stället för en förhandsgranskning med tio leads, fortfarande utan att ansluta ditt LinkedIn-konto."},"TOOLS":[{"label":"Gratis domänsökare","href":"/tools/domain-finder","blurb":"Omvandla företagsnamn till webbplatser, med en konfidensbedömning."},{"label":"Gratis email finder","href":"/tools/email-finder","blurb":"Hitta jobbemails utifrån namn och företag."},{"label":"Rensa företagsnamn","href":"/tools/company-name-cleaner","blurb":"Ta bort bolagssuffix och korrigera versaler och gemener med AI-rensaren."}]},"FAQ":{"TITLE":"Vanliga frågor","ITEMS":[{"question":"Behöver jag en Sales Navigator-prenumeration?","answer":"Ja. Det är Sales Navigators avancerade filter som skapar den sök-URL som verktyget läser, så du behöver en aktiv prenumeration för att skapa en sådan. Du behöver inte ge oss åtkomst till prenumerationen."},{"question":"Varför är detta säkert när andra scrapers inte är det?","answer":"Alla andra verktyg i jämförelsen ovan kör scrapingen via din egen inloggade LinkedIn-session, antingen genom ett webbläsartillägg eller en sessionscookie som du klistrar in. LinkedIns användaravtal förbjuder detta, och eventuella åtgärder drabbar ditt konto. Datablist läser bara sök-URL:en och extraherar datan från sin egen infrastruktur, så ingenting kan spåras tillbaka till dig."},{"question":"Vad kostar en fullständig scraping?","answer":"20 credits per lead när ingenting är anslutet till ditt LinkedIn-konto, eller 10 om du väljer att ansluta ditt eget konto. Datablist kostar från $25/månad med månadsfakturering och inkluderar 5,000 credits per månad."},{"question":"Finns det några begränsningar i Datablists Sales Navigator-scraper?","answer":"Ja. Den kan inte scrapa sökningar som innehåller kontobundna filter som \"Följer din företagssida\", sparade listor eller något som synkroniserats från ditt CRM, eftersom dessa finns bakom din personliga inloggning och vi inte ansluter till den."}]}},"TOOL":{"LABEL":"URL till din Sales Navigator-sökning","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"Ingen LinkedIn-inloggning, inga cookies och inget sessions-ID. Vi ansluter aldrig till ditt konto.","SUBMIT":"Scrapa leads","BUSY":"Scrapar","RESULTS":"Här är de första {count} leads från din sökning, gratis.","NAME":"Namn","JOB_TITLE":"Titel","COMPANY":"Företag","LOCATION":"Plats","COPY":"Kopiera","COPIED":"Kopierad","DOWNLOAD":"Ladda ned CSV","NOTE":"Den kostnadsfria förhandsgranskningen visar {count} leads utan kontaktuppgifter. Emails och profil-URL:er kommer från Datablists berikningar när du kör den fullständiga scrapingen.","ERROR_EMPTY":"Klistra in URL:en till en Sales Navigator-sökning för att börja.","ERROR_URL":"Det där ser inte ut som en URL.","ERROR_HOST":"Länken leder till {host}, inte till LinkedIn.","ERROR_PROFILE":"Det där är en enskild LinkedIn-profil, inte en sökning.","ERROR_RECORD":"Det där är en enskild Sales Navigator-post, inte en sökning.","ERROR_SEARCH":"Det där är en LinkedIn-länk, men inte en Sales Navigator-sökning.","ERROR_FAILURE":"Scrapingen slutfördes inte. Försök igen om en liten stund.","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"Scrapa hela listan","ERROR_HINTS":{"url":"Öppna din sökning i Sales Navigator och kopiera adressen från adressfältet.","host":"Sales Navigator-URL:er börjar med linkedin.com/sales/search/","profile":"Gör först en sökning i Sales Navigator och kopiera sedan URL:en.","record":"Gå tillbaka till sökresultaten och kopiera URL:en därifrån.","search":"Leta efter 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":"Därför är ett waterfall bättre än en enskild sökning","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":"Används av både startups och stora företag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för lead generation"}],"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":"Så fungerar 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":"Ett gratiskonto börjar med 500 credits och kan bearbeta en hel lista på en gång.","LABEL":"Skapa ett gratiskonto"}},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Bygg en lead-lista med personer som faktiskt går att kontakta","body":"Ett namn och ett företag räcker inte för att ta kontakt. Att omvandla en scrapad eller exporterad lista till en lista som du kan skicka email till är steget som gör den värdefull.","ctaLabel":"Hitta email i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Fyll luckorna i en befintlig lista","body":"De flesta exporter är bara delvis kompletta. Kör endast raderna som saknar en adress och betala ingenting för dem som inte ger något resultat.","ctaLabel":"Skapa en lead-lista med email","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"Använd dina egna leverantörsnycklar","body":"Betalar du redan för Hunter, Dropcontact eller liknande? Kör waterfall-sökningen med dina egna nycklar och hoppa över Datablists creditsystem helt.","ctaLabel":"Anpassad Waterfall Email Finder","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"Personalisera innan du skickar","body":"En verifierad adress är början, inte slutet. Det som avgör om ditt email fungerar är om den första raden känns skriven för just den personen.","ctaLabel":"Personalisering av kalla email","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"Vad 1 000 hittade email faktiskt kostar","INTRO":"Priser per credit döljer det som faktiskt spelar roll: vad du betalar för tusen adresser som du verkligen kan skicka till. Hunter är billigare per email eftersom tjänsten söker i ett enda index. Ett waterfall kostar mer per sökning men hittar personer som en enskild källa saknar. Bland waterfall-tjänsterna är Datablist billigast.","HEADERS":["Verktyg","Kostnad/1 000 email","Så hittar verktyget dem","Missar"],"BEST_LABEL":"Lägst av alla waterfall-tjänster","BEST_LABEL_MOBILE":"{cost} · lägst av alla waterfall-tjänster","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"Index från en enda källa","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"Waterfall med 20+ leverantörer","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"Waterfall med 20+ leverantörer","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"Waterfall med 20+ leverantörer","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"Egen databas","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150+ integrationer","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"Endast offert","approach":"Egen databas","misses":"Ej publicerat","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"Endast offert","approach":"Egen databas","misses":"Ej publicerat","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"Kostnad per 1 000 hittade email, baserat på Datablists egen publicerade jämförelse och respektive leverantörs prissida, kontrollerat i september 2026. Alla listade verktyg tar endast betalt för adresser de hittar, så priserna är jämförbara. Leverantörer som endast lämnar offert publicerar inga priser.","SOURCES":[{"n":1,"label":"Datablists CPME-analys","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablists priser","href":"/pricing"},{"n":3,"label":"Hunter.io:s priser","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContacts priser","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrichs priser","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apollos priser","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clays priser","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"Betala bara för email du faktiskt får","BODY":"Börja gratis med 500 credits. Sökningar utan resultat kostar ingenting.","LABEL":"Skapa ett gratiskonto"}},"RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du göra detta i stor 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 Domain Finder","href":"/tools/domain-finder","blurb":"Omvandla företagsnamn till webbplatser, med en säkerhetsbedömning."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Hämta leads från en sök-URL utan att röra ditt LinkedIn-konto."},{"label":"Company Name Cleaner","href":"/tools/company-name-cleaner","blurb":"Ta bort bolagssuffix och korrigera stora och små bokstäver med AI-rensaren."}]},"FAQ":{"TITLE":"Vanliga frågor","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":"Hur vill du söka?","MODE_NAME":"Namn + företag","MODE_LINKEDIN":"LinkedIn-URL","FIRST_NAME":"Förnamn","LAST_NAME":"Efternamn","COMPANY":"Företag eller domän","LINKEDIN":"URL till LinkedIn-profil","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"En domän fungerar bättre än ett företagsnamn.","HINT_LINKEDIN":"En personprofil, inte en företagssida.","COPY":"Kopiera","COPIED":"Kopierad","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":"Skapa ett gratiskonto och få 500 credits, vilket räcker till 20 hittade email. Inget kort behövs.","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 rensning av företagsnamn | Datablist","META_SOCIAL_TITLE":"Gratis rensning av företagsnamn","META_DESCRIPTION":"Rensa upp till 10 företagsnamn per körning med AI. Normalisera skiftläge och juridiska bolagsformer och kopiera eller exportera sedan resultaten. Ingen registrering krävs; en daglig gräns gäller.","SCHEMA_NAME":"Datablist – gratis rensning av företagsnamn","SCHEMA_DESCRIPTION":"Rensa upp till 10 företagsnamn per körning med AI. Normalisera skiftläge och juridiska bolagsformer och kopiera eller exportera sedan resultaten. Ingen registrering krävs; en daglig gräns gäller.","BREADCRUMB_CURRENT":"Rensning av företagsnamn","HERO":{"TITLE":"Normalisera röriga företagsnamn gratis","DESCRIPTION":"Klistra in en lista, rätta skiftläget och välj om juridiska suffix ska behållas. 10 namn per körning, ingen registrering krävs."},"FORMULA":{"TITLE":"Varför inte bara använda en kalkylbladsformel?","QUOTE":"”Det slutar med en enorm, nästlad SUBSTITUTE-formel som slutar fungera om den stöter på ett suffix den inte känner igen.” Det är fällan med egenbyggda formler: de känner bara till de mönster du själv har tänkt på, och varje nytt format innebär ännu en ändring i något som redan är svårt att läsa. En AI-baserad rensare läser i stället namnet i sitt sammanhang och kan därför hantera ett suffix, ett visst skiftläge eller en branschförkortning som ingen har skrivit en regel för.","HEADERS":["Före","Efter","Vad det visar"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"VERSALER har korrigerats, suffixet har tagits bort"},{"raw":"müller & söhne gmbh & co. kg","note":"gemener har korrigerats, det sammansatta suffixet prioriteras framför enbart ”GmbH”"},{"raw":"\"Tech Company, INC.\"","note":"omslutande citattecken och suffix har tagits bort"},{"raw":"SAP","note":"finns i listan över tillåtna akronymer och lämnas helt oförändrat"},{"raw":"1234567 Ontario Inc.","note":"ett format för numrerade företag; granska det rensade namnet innan du använder det"}],"NOTE":"Illustrativa exempel. AI-rensaren returnerar ett rensat företagsnamn, men inga konfidensvärden eller förklaringar. Granska viktiga namn innan du använder dem.","REVIEW":"Granska"},"FIXES":{"TITLE":"Det här åtgärdas","ITEMS":[{"icon":"Scissors","title":"Borttagning av juridiska suffix","body":"AI-rensaren kan ta bort juridiska bolagsformer som Inc., LLC, Ltd., GmbH och SAS och samtidigt behålla det igenkännbara företagsnamnet."},{"icon":"CaseSensitive","title":"Korrigering av skiftläge","body":"Rensaren normaliserar inkonsekvent användning av stora och små bokstäver och kan bevara välkända namn och förkortningar."},{"icon":"Eraser","title":"Blanksteg, citattecken och skiljetecken","body":"Tar bort dubbla blanksteg och omslutande citattecken som följt med vid inklistring från ett kalkylblad samt rensar bort avslutande kommatecken eller punkter som blir kvar när ett suffix tas bort."},{"icon":"CopyCheck","title":"Jämför före och efter","body":"Jämför de ursprungliga och rensade namnen innan du kopierar resultaten eller laddar ned en CSV-fil."}]},"SOCIAL":{"TITLE":"Betrott av startups och storföretag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för 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":"Så fungerar det","STEPS":[{"step":1,"title":"Klistra in din lista","body":"Ett företagsnamn per rad, upp till 10 per körning. Fungerar med data direkt från en CRM-export, en scrapad leadlista eller en kalkylbladskolumn – även med rörigt skiftläge och juridiska suffix. Gränsen finns eftersom varje namn kostar krediter att behandla, inte för att verktyget får problem med fler namn."},{"step":2,"title":"Rensaren normaliserar varje namn","body":"AI-rensaren returnerar ett rensat namn så att du kan jämföra det med originalet. Den returnerar inga konfidensvärden eller förklaringar."},{"step":3,"title":"Kopiera eller ladda ned resultatet","body":"Kopiera de normaliserade namnen direkt till urklipp eller ladda ned hela jämförelsen som en CSV-fil med det ursprungliga namnet, det rensade namnet och resultatstatusen för varje rad."}],"CTA":{"TITLE":"Rensa fler än 10 åt gången","BODY":"Ett gratiskonto innehåller 500 krediter från start, vilket räcker till 1 000 företagsnamn.","LABEL":"Skapa ett gratiskonto"}},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Normalisera namn innan de hamnar i ditt CRM","body":"Fånga upp inkonsekvent skiftläge och juridiska suffix innan dubbletter som ”Acme Inc” och ”ACME Corporation” samlas i samma pipeline.","ctaLabel":"Så normaliserar du företagsnamn","ctaHref":"/how-to/normalize-company-names"},{"title":"Ta bort dubbletter i en befintlig lista","body":"Två rader som bara skiljer sig åt genom skiftläge eller ett suffix tolkas som olika företag av de flesta verktyg. Normalisera först, så blir dubbletterna tydliga.","ctaLabel":"Så tar du bort dubbletter bland företagsnamn","ctaHref":"/how-to/dedupe-company-names"},{"title":"Uppdatera en inaktuell CRM-export","body":"I exporter från äldre system har inkonsekventa namn ofta hunnit samlas. Normalisera dem på vägen tillbaka in i systemet i stället för att föra röran vidare.","ctaLabel":"Rensa, berika och uppdatera CRM-data","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"Normalisera en lista före ett email-utskick","body":"Fält med företagsnamn används i personaliseringstokens. Ett namn med överflödiga citattecken eller som SKRIKER MED VERSALER är en detalj som mottagaren faktiskt lägger märke till.","ctaLabel":"Guide till rensning av emaillistor","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"Normalisera din lista gratis","RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du göra detta i stor skala?","ENRICHMENT":{"label":"Berikning för rensning av företagsnamn","href":"/enrichments/company-name-cleaner","blurb":"Samma rensare utan gränsen på 10 namn, körd direkt på ett dataset i Datablist. 0,5 krediter per namn, och upprepade rader hämtas från cache i stället för att debiteras två gånger."},"TOOLS":[{"label":"Gratis domänsökare","href":"/tools/domain-finder","blurb":"Hitta webbplatser från företagsnamn, med en konfidensbedömning."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Leads från en sök-URL utan att använda ditt LinkedIn-konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Jobbmailadresser utifrån ett namn och ett företag."}]},"FAQ":{"TITLE":"Vanliga frågor","ITEMS":[{"question":"Är det här gratisverktyget AI-baserat?","answer":"Ja. Det använder Datablists AI-baserade rensare för företagsnamn, samma som ligger bakom den betalda berikningen. Den läser sammanhang och branschjargong i stället för att matcha mot en fast lista med suffix. Gränsen är 10 namn per körning eftersom varje namn kostar 0,5 krediter att behandla."},{"question":"Hur många namn kan jag normalisera gratis?","answer":"Upp till 10 per körning, inom en daglig gräns på 5 krediter per webbläsarsession och IP-adress. Varje inskickat namn reserverar 0,5 krediter. En reservation som inte används frigörs när körningen är klar. Gränsen återställs vid midnatt UTC."},{"question":"Returnerar rensaren konfidensvärden?","answer":"Nej. Den returnerar ett rensat företagsnamn. Tabellen visar om det returnerade namnet skiljer sig från din inmatning. Granska viktiga eller tvetydiga namn innan du använder dem."},{"question":"Vart skickas namnen jag klistrar in?","answer":"De skickas till Datablist för att normaliseras eftersom rensaren är en AI-modell som körs i vår infrastruktur och inte ett skript i din webbläsare. Inget körs förrän du trycker på knappen, så du kan se exakt vad som hämtades från urklipp innan något skickas."},{"question":"Vad är skillnaden mellan detta och den betalda berikningen?","answer":"Samma rensare, olika skala. Den här sidan behandlar 10 namn åt gången utan konto. Berikningen körs direkt på ett dataset i Datablist utan gränsen på 10 namn och kostar 0,5 krediter per namn. Du behöver därför inte exportera och klistra in på nytt, och upprepade rader hämtas från cache i stället för att debiteras två gånger."},{"question":"Kan jag normalisera namn som jag redan har importerat till Datablist?","answer":"Ja – den betalda berikningen körs direkt på ett dataset i Datablist, så du behöver inte exportera och klistra in på nytt. Det här gratisverktyget är avsett för en kort lista som du har till hands just nu."}]}},"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":"Din lista","DESCRIPTION":"Klistra in upp till 10 företagsnamn för att korrigera skiftläge och juridiska bolagsformer.","PLACEHOLDERS":["Acme Solutions LLC","MÜLLER & SÖHNE GMBH","Företagsnamn"],"ROW_LABEL":"Företagsnamn, rad {number}","REMOVE_ROW":"Ta bort rad {number}","ADD_ROW":"Lägg till en rad","ROW_LIMIT":"Upp till 10 företagsnamn per körning.","EMPTY":"Klistra in eller skriv ett företagsnamn för att börja","READY_ONE":"1 namn klart","READY_MANY":"{count} namn klara","FIND_ONE":"Rensa namn","FIND_MANY":"Rensa namn","SAMPLE_BUTTON":"Visa exempelresultat","SAMPLE_NOTICE":"Illustrativa exempelresultat. Konfidensbedömningarna är exempel, inte aktuella värden. Den här förhandsvisningen använder inga krediter.","REJECTED_ONE":"En inmatning kunde inte användas. Kontrollera formatet.","REJECTED_MANY":"{count} inmatningar kunde inte användas. Kontrollera deras format.","OVERFLOW":"Du klistrade in {count} namn. Upp till 10 kan behandlas samtidigt.","PROCESS_ALL":"Rensa alla {count} namn i Datablist","NUMBER":"#","COMPANY_NAME":"Företagsnamn","DOMAIN":"Domän","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Inget rensat namn returnerades","COPY_ROW":"Kopiera rensat namn","START_OVER":"Börja om","COPY_ALL":"Kopiera normaliserade namn","DOWNLOAD_CSV":"Ladda ned CSV","DOWNLOAD_FILENAME":"rensade-foretagsnamn.csv","HIGH":"Hög","MEDIUM":"Medel","LOW":"Låg","VERY_LOW":"Mycket låg","PRIVACY":"Dina inmatningar och resultat är tillgängliga i den här webbläsaren i 24 timmar. Datablist sparar uppgiftsdata längre för att kunna slutföra och stödja körningen.","UNAVAILABLE":"Det här gratisverktyget är tillfälligt otillgängligt. Du kan fortfarande använda Datablist-appen.","QUOTA_REACHED":"Du har använt dagens kvot för det här gratisverktyget. Kom tillbaka om {hours} tim {minutes} min eller fortsätt i Datablist.","QUOTA_RUN_TOO_LARGE":"Den här sökningen överskrider din återstående dagskvot för gratisverktyget. Prova med färre namn eller kom tillbaka om {hours} tim {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} krediter kvar i dag","QUOTA_REDUCE":"{remaining} krediter kvar i dag. Prova med färre namn.","QUOTA_WAIT":"Dagens kvot är förbrukad. Kom tillbaka om {hours} tim {minutes} min.","CHALLENGE_REQUIRED":"Slutför verifieringen innan du kör sökningen.","RUN_FAILED":"Körningen kunde inte slutföras. Du kan öppna eventuella tillgängliga resultat eller försöka igen senare.","SUBMISSION_UNKNOWN":"Vi kontrollerar om din sökning har startat. Ladda om sidan för att kontrollera dess status. Skicka inte in den igen.","RETRY_STATUS":"Vi kunde inte kontrollera sökningen just nu. Ladda om sidan och försök igen.","EXPIRED":"Resultatet är inte längre tillgängligt i den här webbläsaren.","BANNER":"Registrera ett gratiskonto och få 500 krediter, tillräckligt för att rensa 1 000 företagsnamn. Inget kort krävs.","BANNER_CTA":"Få 500 kostnadsfria krediter","RESULT_CTA":"Rensa större listor i Datablist.","RESULT_CTA_BUTTON":"Öppna Datablist","CSV_NAME":"Namn","LOADING":"Läser in","ERROR":"Fel","COMPLETE":"Klar","HISTORY_TITLE":"Dina senaste sökningar","HISTORY_DESCRIPTION":"Öppna eller ta bort en sökning från den här webbläsaren medan resultaten är tillgängliga, i upp till 24 timmar. Om du tar bort den här stoppas inte sökningen och inga krediter återställs.","HISTORY_REMOVE":"Ta bort {name} från den här webbläsaren","HISTORY_COMPLETE":"Klar","HISTORY_FAILED":"Kräver åtgärd","HISTORY_ATTENTION":"Kontrollerar status","HISTORY_RUNNING":"Pågår","CLEAN_ONE":"Rensa namn","CLEAN_MANY":"Rensa namn","NORMALIZE_ALL":"Normalisera alla {count}","ORIGINAL":"Original","NORMALIZED":"Normaliserat","WHAT_CHANGED":"Vad ändrades","REVIEW":"Granska","DUPLICATE_OF":"Dubblett av ”{name}”","NO_CHANGE":"Ingen ändring behövs","CHANGES":{"spaces":"Extra blanksteg har tagits bort","quotes":"Citattecken har tagits bort","suffix":"Juridiskt suffix har tagits bort","casing":"Skiftläget har korrigerats"},"COPY":"Kopiera normaliserade namn","COPIED":"Kopierat","DOWNLOAD":"Ladda ned CSV","REVIEW_CTA_ONE":"1 rad är markerad med Granska – rensaren var osäker på den. Datablists AI-baserade berikning läser sammanhang, inte bara en lista med suffix.","REVIEW_CTA_MANY":"{count} rader är markerade med Granska – rensaren var osäker på dem. Datablists AI-baserade berikning läser sammanhang, inte bara en lista med suffix.","SEE_ENRICHMENT":"Visa berikningen","DEBUG_NOTICE":"Felsökningsresultat från betaåtgärden. Detta är testdata, inte en sökning efter den inskickade personen.","CHANGED":"Ändrat","UNCHANGED":"Oförändrat","COPY_ERROR":"Kopieringen misslyckades. Försök igen eller ladda ned CSV-filen.","MORE_OPTIONS":"Fler alternativ","KEEP_SUFFIX_LABEL":"Behåll juridiska suffix","KEEP_SUFFIX_HELP":"Behåll juridiska bolagsformer som Inc., LLC, Ltd. och GmbH i de rensade namnen.","RUN_OPTIONS":"Körningsalternativ","OPTION_ON":"På","OPTION_OFF":"Av","CONFIDENCE_HELP":"AI-uppskattad konfidens för att det rensade namnet bevarar företagets identitet. Detta är ingen extern verifiering."}},"ToolsInstagramFollowerScraper":{"CONTENT":{"META_TITLE":"Gratis Instagram follower scraper | Datablist","META_SOCIAL_TITLE":"Gratis Instagram follower scraper","META_DESCRIPTION":"Gratis Instagram follower scraper online. Extrahera följare från valfri offentlig Instagram-profil utan inloggning, cookies eller webbläsartillägg.","SCHEMA_NAME":"Datablists kostnadsfria Instagram follower scraper","BREADCRUMB_CURRENT":"Instagram follower scraper","HERO":{"TITLE":"Gratis Instagram follower scraper","DESCRIPTION":"Ange en URL eller ett användarnamn för en Instagram-profil och få upp till 100 följare per körning. Ingen inloggning eller cookies krävs."},"SAFETY":{"TITLE":"Därför utsätts inte ditt Instagram-konto för risk","ITEMS":[{"safe":true,"label":"Datablist","body":"Behöver endast den offentliga profilens URL eller användarnamn. Ansluter aldrig till ditt personliga Instagram-konto och kräver inga inloggningsuppgifter, cookies eller webbläsartillägg."},{"safe":false,"label":"Chrome-tillägg (IG Exporter osv.)","body":"Automatiserar scraping genom att ta över din aktiva webbläsarsession. Meta övervakar snabb scrollning och API-anrop under sessionen, vilket kan leda till omedelbara åtgärdsblockeringar och avstängning av kontot."},{"safe":false,"label":"Cookie-baserade cloud scrapers (PhantomBuster)","body":"Kräver att du kopierar och klistrar in din känsliga sessionid-cookie från utvecklarverktygen. Det överför din inloggade Instagram-identitet till externa servrar och utsätter ditt konto för hög risk."}]},"SOCIAL":{"TITLE":"Används av startups och storföretag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för lead generation"}],"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":"Så fungerar det","STEPS":[{"step":1,"title":"Ange en Instagram-profil eller ett användarnamn","body":"Klistra in URL:en till en valfri offentlig Instagram-profil (t.ex. instagram.com/nike), ett användarnamn (@nike) eller ett numeriskt användar-ID. I den fullständiga Datablist-appen kan du även klistra in flera influencer-profiler samtidigt."},{"step":2,"title":"Vi genomför scraping säkert från våra molnservrar","body":"Extraheringen körs helt på Datablists dedikerade infrastruktur. Vi ber aldrig om ditt Instagram-lösenord, din tvåfaktorskod eller sessionscookie (sessionid), så ditt personliga konto är 100 % skyddat mot åtgärdsblockeringar och avstängningar."},{"step":3,"title":"Exportera och berika med emails och telefonnummer","body":"Ladda ned din rensade följartabell som CSV eller Excel. I Datablist kan du köra insamlade användarnamn i en kaskad genom fler än 15 leverantörer av email- och telefondata för att hitta verifierade kontaktuppgifter till dina creator-kampanjer."}],"CTA":{"TITLE":"Scrapa fullständiga följarlistor, inte bara tio förhandsvisningsrader","BODY":"Ett kostnadsfritt Datablist-konto innehåller 500 krediter (upp till 50,000 följare) och kräver ingen Instagram-inloggning.","LABEL":"Skapa ett gratiskonto"}},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Målgrupps- och konkurrentanalys","body":"Ta reda på exakt vilka som följer konkurrerande varumärken och ledande aktörer inom nischen. Analysera gemensamma intressen, verifieringsgrad och målgruppsdemografi för att vässa din marknadspositionering.","ctaLabel":"Guide till att bygga lead-listor","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Influencer marketing och creator discovery","body":"Extrahera följarlistor från ledande creators i branschen och filtrera efter verifierade profiler eller offentliga kontakttaggar för att bygga listor över samarbeten med hög konverteringsgrad.","ctaLabel":"Guide till influencer scraping","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"Hitta emails till Instagram-leads","body":"Ett Instagram-användarnamn räcker inte för direkt B2B-outreach. Kör följarlistan genom Datablists waterfall email finder för att hitta verifierade professionella emails.","ctaLabel":"Hitta emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Scraping i stor skala utan kontoavstängningar","body":"Traditionella verktyg tvingar dig att offra ett Instagram-konto till algoritmer mot scraping. Datablists serverbaserade motor eliminerar kontorisken helt.","ctaLabel":"Dokumentation för Instagram Followers","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Jämförelse av Instagram follower scrapers","INTRO":"Alla konkurrenter automatiserar antingen klick i din aktiva webbläsare eller kräver att du klistrar in din känsliga sessionscookie. Datablist är den enda plattformen som utför scraping i isolerad molninfrastruktur.","HEADERS":["Verktyg","IG-konto","Vad som krävs","Pris","Kostnad/följare","Berikning"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"Ansluter aldrig till det","needs":"Profil-URL eller @användarnamn","cost":"$$25/mån eller gratis provperiod","perFollower":"$$0.0001 (0.01 krediter)","enrichment":"Waterfall för email och telefonnummer","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"Utsatt för risk","needs":"Din sessionscookie (sessionid)","cost":"$$69/mån","perFollower":"Tidsbaserat (~$0.003)","enrichment":"Separat Phantom krävs","best":false},{"tool":"Apify","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/apify.svg","safety":"Riskfyllt/tekniskt","needs":"API-konfiguration och actor-inställningar","cost":"$$49/mån","perFollower":"Beräkningsenheter (varierar)","enrichment":"Nej (endast rådata)","best":false},{"tool":"Chrome-tillägg","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/chrome.svg","safety":"Hög risk (kontoavstängning)","needs":"Tillägg på ditt konto","cost":"$$15/mån","perFollower":"~$0.001","enrichment":"Nej","best":false}],"NOTE":"Priserna avser varje verktygs billigaste nivå med månadsdebitering och verifierades i september 2026. Datablists kostnad per följare beräknas till 0.01 krediter per följare med abonnemanget för $25/månad.","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 enda scrapern som aldrig ber om din Instagram-inloggning","BODY":"Börja gratis med 500 krediter. Inget tillägg, ingen sessionscookie och inget betalkort krävs.","LABEL":"Skapa ett gratiskonto"}},"RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du detta i bulk?","ENRICHMENT":{"label":"Instagram Followers Scraper","href":"/sources/instagram-followers","blurb":"Scrapa upp till 2,000,000 följare från flera profiler i bulk, filtrera efter creator och berika med verifierade emails."},"TOOLS":[{"label":"Gratis LinkedIn Profile Scraper","href":"/tools/linkedin-profile-scraper","blurb":"Extrahera verifierad arbetshistorik, kompetenser och nuvarande roll från valfri LinkedIn-profil."},{"label":"Gratis Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Extrahera leads från Sales Navigator-sökningar utan att ansluta ett LinkedIn-konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Waterfall-sökning efter email hos fler än 15 leverantörer utifrån namn och domän."}]},"FAQ":{"TITLE":"Vanliga frågor","ITEMS":[{"question":"Måste jag ansluta mitt Instagram-konto eller ange inloggningsuppgifter?","answer":"Nej. Datablist ber aldrig om ditt Instagram-lösenord, din tvåfaktorskod eller sessionscookie (sessionid). All scraping körs på Datablists dedikerade molnservrar, vilket innebär att din personliga Instagram-profil eller företagsprofil aldrig ansluts och därför inte kan flaggas eller stängas av."},{"question":"Kan jag scrapa fler än 100,000 följare?","answer":"Ja. Datablist kan scrapa fler än 100,000 följare och stöder dataset med upp till 2,000,000 poster per samling. Eftersom extraheringen körs helt på Datablists dedikerade molninfrastruktur behandlas stora följarlistor kontinuerligt utan krascher på grund av webbläsarminnet eller avbrott till följd av hastighetsbegränsningar."},{"question":"Är det lagligt att scrapa Instagram-följare?","answer":"Ja. Scraping av offentligt tillgängliga data från offentliga profiler är lagligt i större jurisdiktioner. Datablist extraherar endast data som är synliga för alla oinloggade besökare och kringgår inte begränsningar för privata profiler."},{"question":"Vilka datapunkter extraheras, och kan jag hitta email-adresser?","answer":"Det här kostnadsfria verktyget returnerar användar-ID, användarnamn, fullständigt namn, profil-URL, kontots sekretessstatus och verifieringsstatus. Okända värden för sekretess eller verifiering förblir ospecificerade. Efter extraheringen kan du köra insamlade användarnamn i en kaskad genom Datablists Waterfall Email och Phone Finders hos fler än 15 dataleverantörer för att hitta verifierade kontaktuppgifter."},{"question":"Vad kostar det att scrapa Instagram-följare i Datablist?","answer":"Scraping av följare kostar 0.01 krediter per följare (100 följare per kredit). Ett kostnadsfritt Datablist-konto innehåller 500 gratiskrediter vid registrering (tillräckligt för 50,000 följare). Betalabonnemang börjar på $25/månad för 5,000 krediter (500,000 följare), och krediterna löper aldrig ut."}]}},"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-följare","DESCRIPTION":"URL, användarnamn eller handle för Instagram-profil","PLACEHOLDERS":["https://www.instagram.com/nike/ eller @nike"],"ROW_LABEL":"Instagram-profil","REMOVE_ROW":"Ta bort profil","ADD_ROW":"Lägg till en profil","ROW_LIMIT":"En profil och upp till 100 följare per körning.","EMPTY":"Ange en Instagram-profil för att komma igång","READY_ONE":"1 profil är klar","READY_MANY":"{count} profiler är klara","FIND_ONE":"Scrapa följare","FIND_MANY":"Scrapa följare","SAMPLE_BUTTON":"Visa exempelresultat","SAMPLE_NOTICE":"Illustrativt exempel med fiktiva följare. Förhandsvisningen körs i din webbläsare och använder inga krediter.","REJECTED_ONE":"Den här profilen kunde inte användas. Kontrollera formatet.","REJECTED_MANY":"{count} inmatningar kunde inte användas. Kontrollera deras format.","OVERFLOW":"Du klistrade in {count} profiler. Det här kostnadsfria verktyget tar emot en i taget.","PROCESS_ALL":"Scrapa alla {count} profiler i Datablist","NO_MATCH":"Inga följare returnerades för den här profilen.","COPY_ROW":"Kopiera profil-URL för {name}","START_OVER":"Börja om","COPY_ALL":"Kopiera CSV","DOWNLOAD_CSV":"Ladda ned CSV","COPY_ERROR":"Kopieringen misslyckades. Försök igen eller ladda ned CSV-filen.","PRIVACY":"Dina inmatningar och resultat är tillgängliga i den här webbläsaren i 24 timmar. Datablist sparar uppgiftsdata längre för att slutföra och ge support för körningen.","UNAVAILABLE":"Det här kostnadsfria verktyget är tillfälligt otillgängligt. Du kan fortfarande använda Datablist-appen.","QUOTA_REACHED":"Du har förbrukat din dagliga kvot för det här kostnadsfria verktyget. Kom tillbaka om {hours} h {minutes} min eller fortsätt i Datablist.","QUOTA_RUN_TOO_LARGE":"Denna scraping överskrider din återstående dagliga kvot. Kom tillbaka om {hours} h {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} krediter kvar i dag","QUOTA_REDUCE":"{remaining} krediter kvar i dag. Vänta tills din dagliga kvot återställs.","QUOTA_WAIT":"Den dagliga kvoten är förbrukad. Kom tillbaka om {hours} h {minutes} min.","CHALLENGE_REQUIRED":"Slutför verifieringen innan du scrapar följare.","RUN_FAILED":"Scrapingen kunde inte slutföras. Alla tillgängliga följare visas nedan.","SUBMISSION_UNKNOWN":"Vi kontrollerar om din scraping har startat. Ladda om sidan för att kontrollera statusen. Skicka inte in den igen.","RETRY_STATUS":"Vi kunde inte kontrollera scrapingen just nu. Ladda om sidan för att försöka igen.","EXPIRED":"Dessa resultat är inte längre tillgängliga i den här webbläsaren.","BANNER":"Scrapa större följarlistor och berika dem i Datablist. Börja med 500 gratiskrediter, inget kort krävs.","BANNER_CTA":"Få 500 gratiskrediter","RESULT_CTA":"Scrapa större följarlistor i Datablist.","RESULT_CTA_BUTTON":"Öppna Datablist","HISTORY_TITLE":"Dina senaste scraping-körningar","HISTORY_DESCRIPTION":"Öppna eller ta bort en scraping från den här webbläsaren i upp till 24 timmar. Om du tar bort den här stoppas inte scrapingen och krediter återställs inte.","HISTORY_REMOVE":"Ta bort {name} från den här webbläsaren","HISTORY_COMPLETE":"Slutförd","HISTORY_FAILED":"Kräver åtgärd","HISTORY_ATTENTION":"Kontrollerar status","HISTORY_RUNNING":"Pågår","DEBUG_NOTICE":"Felsökningsresultat från betaåtgärden. Detta är testdata.","LABEL":"URL, användarnamn eller handle för Instagram-profil","PLACEHOLDER":"https://www.instagram.com/cristiano/ eller @nike","SCRAPE":"Scrapa följare","SCRAPING":"Scrapar","SAFETY":"Ingen Instagram-inloggning, inga cookies och inget lösenord krävs. Vi ansluter aldrig till ditt konto.","SAMPLES":"Eller prova ett exempel:","ERRORS":{"EMPTY":{"REASON":"Ange en URL, ett användarnamn eller ett handle för en Instagram-profil."},"USERNAME":{"REASON":"Ange ett giltigt Instagram-användarnamn."},"TOO_LONG":{"REASON":"Instagram-användarnamn får inte vara längre än 30 tecken."},"CHARACTERS":{"REASON":"Användarnamnet innehåller ogiltiga tecken.","HINT":"Instagram-användarnamn får endast innehålla bokstäver, siffror, punkter och understreck."},"RESERVED_HANDLE":{"REASON":"\"{value}\" är en systemsida på Instagram, inte en användarprofil."},"BAD_URL":{"REASON":"Det där verkar inte vara en giltig URL eller ett giltigt användarnamn.","HINT":"Ange en länk till en Instagram-profil (t.ex. https://www.instagram.com/cristiano/) eller ett handle (@cristiano)."},"WRONG_SITE":{"REASON":"Det där är en länk till {value}, inte Instagram.","HINT":"Ange en länk till en Instagram-profil (t.ex. instagram.com/username) eller ett handle."},"HOMEPAGE":{"REASON":"Det där är Instagrams startsida, inte en specifik profil.","HINT":"Klistra in en profil-URL med ett användarnamn på slutet, till exempel instagram.com/nike/."},"POST":{"REASON":"Det där är en länk till ett enskilt Instagram-inlägg eller en reel, inte en profil.","HINT":"För att scrapa följare öppnar du i stället skaparens profilsida och kopierar den URL:en."},"STORY":{"REASON":"Det där är en länk till en Instagram Story.","HINT":"Stories är tillfälliga och har ingen offentlig följarlista. Klistra in profil-URL:en för den creator som publicerat den."},"EXPLORE":{"REASON":"Det där är en tagg- eller Explore-sida på Instagram, inte en profil.","HINT":"Ange profil-URL:en för en creator, ett varumärke eller en influencer för att scrapa följarna."},"SYSTEM_PAGE":{"REASON":"Det där leder till en systemsida på Instagram, inte en användarprofil."},"PROFILE_USERNAME":{"REASON":"Profilens användarnamn i den här URL:en är ogiltigt.","HINT":"Kontrollera att URL:en följer formatet https://www.instagram.com/username/."}},"SCRAPE_ERROR":"Scrapingen slutfördes inte. Försök igen om en liten stund.","RESULTS":"Här är de första {count} följarna för @{handle}, kostnadsfritt.","USER":"Användare","USER_ID":"Användar-ID","ACCOUNT_PRIVACY":"Sekretess","PROFILE":"Profil","ID":"ID: {id}","VERIFIED":"Verifierad","PRIVATE":"Privat","PUBLIC":"Offentlig","VIEW":"Visa","COPIED":"Kopierat","COPY":"Kopiera","DOWNLOAD":"Ladda ned CSV","SCRAPE_FULL":"Scrapa hela listan","RESULT_NOTE":"Den kostnadsfria förhandsvisningen visar {count} följare utan kontaktuppgifter. Använd Datablists verktyg för att scrapa upp till 2,000,000 följare i bulk och köra dem i en kaskad genom email- och telefonsökverktyg:","SOURCE_LABEL":"Instagram Followers Scraper","CSV_HEADER":"Användar-ID,Användarnamn,Fullständigt namn,Verifierad,Privat,Profil-URL,Följer","YES":"Ja","NO":"Nej","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"Gratis LinkedIn-profilskrapa | Datablist","META_SOCIAL_TITLE":"Gratis LinkedIn-profilskrapa","META_DESCRIPTION":"Slå upp en persons LinkedIn-profil utan att ansluta ditt LinkedIn-konto. Hämta tillgängliga uppgifter om identitet, jobbhistorik och utbildning. Daglig gräns gäller.","SCHEMA_NAME":"Datablists kostnadsfria LinkedIn-profilskrapa","BREADCRUMB_CURRENT":"LinkedIn-profilskrapa","HERO":{"TITLE":"Gratis LinkedIn-profilskrapa","DESCRIPTION":"Klistra in en person-URL från LinkedIn eller Sales Navigator för att hämta tillgängliga profil-, jobb- och utbildningsuppgifter. Ingen LinkedIn-inloggning eller sessionscookie krävs."},"SAFETY":{"TITLE":"Ingen anslutning till ditt LinkedIn-konto","ITEMS":[{"safe":true,"label":"Datablist","body":"Endast profilens URL krävs. Bearbetningen körs i Datablists infrastruktur utan din LinkedIn-inloggning, sessionscookie eller ett webbläsartillägg."},{"safe":false,"label":"Chrome-tillägg","body":"Evaboot, Skrapp och liknande webbläsarverktyg automatiserar klick och sidvisningar i din inloggade webbläsarsession. LinkedIn upptäcker och begränsar konton som använder automatisering på klientsidan."},{"safe":false,"label":"Cookie-baserade molnverktyg","body":"Phantombuster och molnbaserade aktörer kräver att du kopierar och klistrar in din känsliga li_at-sessionscookie. När du överlämnar din aktiva session till delade servrar hos tredje part utsätts ditt konto för risk för upptäckt och avstängning."}]},"SOCIAL":{"TITLE":"Betrodd av startups och storföretag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för 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":"Så fungerar det","STEPS":[{"step":1,"title":"Kopiera valfri URL till en LinkedIn-profil","body":"Gå till profilen du vill skrapa på LinkedIn eller Sales Navigator och kopiera länken från webbläsarens adressfält. Både vanliga profil-URL:er (linkedin.com/in/...) och URL:er till leads i Sales Navigator stöds."},{"step":2,"title":"Klistra in URL:en här","body":"Klistra in URL:en i fältet ovan. Vi tar automatiskt bort spårningsparametrar (som trk och lipi) före bearbetningen. Ingen inloggning, inget lösenord, Chrome-tillägg eller sessionscookie krävs någonsin."},{"step":3,"title":"Hämta strukturerade profiluppgifter","body":"Extraheringen körs i Datablists dedikerade infrastruktur, helt separat från ditt personliga LinkedIn-konto. Du får ren, strukturerad data: namn, rubrik, sammanfattning, företagsdata om nuvarande arbetsgivare, tidigare jobbhistorik och utbildning."}],"CTA":{"TITLE":"Skrapa 20 profiler gratis i bulk","BODY":"Ett kostnadsfritt Datablist-konto börjar med 500 credits. Ladda upp din CSV och berika hela listor på några minuter.","LABEL":"Skapa ett kostnadsfritt konto"}},"DATA":{"TITLE":"Vilka data du får från varje LinkedIn-profil","ITEMS":[{"icon":"UserCheck","title":"Identitet och plats","description":"Grundläggande personuppgifter för att identifiera prospekt korrekt och segmentera målgrupper.","fields":["Förnamn","Efternamn","Fullständigt namn","Rubrik","Om / Sammanfattning","Stad, delstat och land","Landskod (ISO-2)"]},{"icon":"Database","title":"Nuvarande roll och företagsdata","description":"Detaljerade arbetsgivardata för att bedöma matchning mot ICP och skapa riktade outbound-budskap.","fields":["Jobbtitel","Företagsnamn","Företagets LinkedIn-URL","Företagets webbplats","Bransch","Intervall för antal anställda","Rollens startdatum och längd","Rollbeskrivning"]},{"icon":"BriefcaseIcon","title":"Karriär och jobbhistorik","description":"Tillgängliga uppgifter om upp till två tidigare roller.","fields":["Två tidigare jobbtitlar","Tidigare företagsnamn","Anställningstid och datum","Rollbeskrivningar och prestationer"]},{"icon":"Layers","title":"Utbildning och språk","description":"Tillgängliga uppgifter om utbildning och språk.","fields":["Universitetets / skolans namn","Examen","Studieinriktning","Examensdatum","Talade språk"]}]},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Personalisering av kalla email och meddelanden","body":"Skrapa prospekts jobbhistorik, senaste karriärbyten och biografiska sammanfattningar för att skapa hyperpersonaliserad kall outreach som engagerar och konverterar.","ctaLabel":"Guide för att bygga leadlistor","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Kandidatsökning och rekrytering","body":"Extrahera kompletta kandidatprofiler, inklusive tillgängliga uppgifter om tidigare arbetsgivare och utbildning, direkt till en organiserad talangdatabas.","ctaLabel":"Guide för att skrapa LinkedIn-uppgifter","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"Hitta verifierade jobbmailadresser","body":"Omvandla skrapade namn och företagswebbplatser till verifierade professionella emailadresser med Datablists waterfall-berikning för email via över 20 leverantörer.","ctaLabel":"Hitta email i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Uppdatera kontakter och konton i CRM","body":"Håll dina kontakter i Salesforce eller HubSpot uppdaterade. Upptäck automatiskt jobbbyten, nya befordringar och uppdaterade företagsdata utan manuell datainmatning.","ctaLabel":"Guide till CRM-databerikning","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"Jämförelse av LinkedIn-profilskrapor","INTRO":"De flesta LinkedIn-skrapor automatiserar antingen din aktiva session eller debiterar för oförutsägbar körtid. Datablist arbetar självständigt i sin egen molninfrastruktur med transparent prissättning per profil.","HEADERS":["Verktyg","LinkedIn-konto","Vad som krävs","Pris","Kostnad / profil","CSV i bulk"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/linkedin-profile-scraper/datablist.png","values":["Ansluter aldrig till det","Endast offentlig profil-URL","$$25/mån","$$0.025","Ja, över 100k rader"],"best":true},{"tool":"Phantombuster","favicon":"/free-tools/linkedin-profile-scraper/phantombuster.png","values":["I riskzonen","Sessionscookie (li_at)","$$69/mån","Debitering per minut","Begränsat"],"best":false},{"tool":"Apify","favicon":"/free-tools/linkedin-profile-scraper/apify.svg","values":["I riskzonen","Konfiguration av actor / proxynycklar","$$29/mån","Varierar","Via API/JSON"],"best":false},{"tool":"Clay","favicon":"/free-tools/linkedin-profile-scraper/clay.png","values":["Säkert (databassökning)","Databassökning (inte live)","$$185/mån","$$0.05 - $0.10","Ja"],"best":false},{"tool":"Evaboot","favicon":"/free-tools/linkedin-profile-scraper/evaboot.png","values":["I riskzonen","Tillägg på ditt konto","$$9/mån","$$0.09","Endast Sales Nav"],"best":false}],"NOTE":"Priserna är den lägsta nivån för varje verktyg vid månadsvis fakturering och kontrollerades mot respektive leverantörs aktuella prissida i september 2026. Datablists kostnad per profil beräknas utifrån 25 credits per profil med planen för $25/månad.","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 enda skrapan som aldrig ansluter till ditt LinkedIn-konto","BODY":"Börja gratis med 500 credits. Inget tillägg, ingen sessionscookie och inget kreditkort krävs.","LABEL":"Skapa ett kostnadsfritt konto"}},"RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du detta i bulk?","ENRICHMENT":{"label":"LinkedIn-profilskrapa","href":"/enrichments/linkedin-profile-scraper-bulk","blurb":"Bearbeta större listor med LinkedIn-profiler från en CSV i Datablist utan att ansluta ditt LinkedIn-konto."},"TOOLS":[{"label":"Gratis Sales Navigator-skrapa","href":"/tools/sales-navigator-scraper","blurb":"Extrahera leads från sökningar i Sales Navigator utan att ansluta ditt konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Hitta verifierade jobbmailadresser från en persons namn och företagets domän."},{"label":"Gratis domänsökare","href":"/tools/domain-finder","blurb":"Omvandla företagsnamn till officiella webbdomäner med konfidenspoäng."}]},"FAQ":{"TITLE":"Vanliga frågor","ITEMS":[{"question":"Ansluter Datablist till mitt LinkedIn-konto eller använder sessionscookies?","answer":"Nej. Datablist ansluter aldrig till ditt LinkedIn-konto och ber aldrig om ditt lösenord eller dina sessionscookies (li_at). All skrapning sker helt i vår dedikerade molninfrastruktur med hjälp av offentliga profildata, vilket helt eliminerar risken för kontobegränsningar eller avstängningar."},{"question":"Kan jag hitta verifierade jobbmailadresser för de skrapade profilerna?","answer":"Ja. I Datablist kan du skicka skrapade namn och företagsdomäner genom vår Waterfall Email Finder hos över 20 dataleverantörer för att hitta och verifiera emailadresser. Du betalar endast credits för bekräftade träffar."},{"question":"Vilka datapunkter extraheras från varje LinkedIn-profil?","answer":"Verktyget returnerar tillgängliga uppgifter om identitet, rubrik, sammanfattning, plats, språk, kontakter, nuvarande jobb, upp till två tidigare roller och den första utbildningsposten. Saknade fält förblir tomma. Kompetenser, bilder och URN:er ingår inte."},{"question":"Kan jag skrapa LinkedIn-profiler i bulk och använda URL:er från Sales Navigator?","answer":"Ja. Datablist accepterar vanliga URL:er till LinkedIn-profiler och URL:er till leads i Sales Navigator. Du kan ladda upp en CSV med tusentals länkar för att skrapa profiler i bulk med en hastighet på cirka 1,000 profiler på 3 minuter."},{"question":"Hur mycket kostar det att skrapa profiler i Datablist?","answer":"Skrapning kostar 25 credits per profil (20 credits för cachad data). Varje kostnadsfritt konto inkluderar 500 gratis credits vid registrering (tillräckligt för 20 fullständiga profiler). Betalplaner börjar på $25/månad för 5,000 credits, och credits upphör aldrig att gälla."},{"question":"Kan verktyget returnera cachade profildata?","answer":"Ja. Detta kostnadsfria verktyg accepterar cachade profiler. Data kan vara ofullständiga eller inaktuella. Det returnerar en nuvarande roll, upp till två tidigare roller och en utbildningspost när de är tillgängliga. Det returnerar inte kompetenser, profilbilder eller LinkedIn-URN. Varje körning reserverar 25 credits från din dagliga tilldelning på 25 credits per session och IP-adress."}]}},"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":"Din profil","DESCRIPTION":"Ange en URL till en LinkedIn-profil eller ett lead i Sales Navigator","PLACEHOLDERS":["https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"URL till LinkedIn-profil","REMOVE_ROW":"Ta bort rad {number}","ADD_ROW":"Lägg till en rad till","ROW_LIMIT":"En LinkedIn-profil per körning.","EMPTY":"Klistra in en URL till en LinkedIn-profil för att komma igång","READY_ONE":"Redo att slå upp den här profilen","READY_MANY":"Redo att slå upp den här profilen","FIND_ONE":"Skrapa profil","FIND_MANY":"Skrapa profil","SAMPLE_BUTTON":"Visa exempelresultat","SAMPLE_NOTICE":"Illustrativa exempelresultat. Den här förhandsvisningen använder inga credits.","REJECTED_ONE":"En inmatning kunde inte användas. Kontrollera formatet.","REJECTED_MANY":"{count} inmatningar kunde inte användas. Kontrollera deras format.","OVERFLOW":"En profil kan köras åt gången.","PROCESS_ALL":"Bearbeta alla {count}","NUMBER":"#","COMPANY_NAME":"Företagsnamn","DOMAIN":"Domän","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Inga profildata hittades","COPY_ROW":"Kopiera domän för {name}","START_OVER":"Börja om","COPY_ALL":"Kopiera CSV","DOWNLOAD_CSV":"Ladda ner CSV","DOWNLOAD_FILENAME":"linkedin-profile.csv","DOWNLOAD_JSON":"Ladda ner JSON","DOWNLOAD_JSON_FILENAME":"linkedin-profile.json","HIGH":"Hög","MEDIUM":"Medel","LOW":"Låg","VERY_LOW":"Mycket låg","PRIVACY":"Dina inmatningar och resultat är tillgängliga i den här webbläsaren i 24 timmar. Datablist behåller uppgiftsdata längre för att slutföra och stödja körningen.","UNAVAILABLE":"Det här kostnadsfria verktyget är tillfälligt otillgängligt. Du kan fortfarande använda Datablist-appen.","QUOTA_REACHED":"Du har förbrukat dagens kvot för det här kostnadsfria verktyget. Kom tillbaka om {hours} h {minutes} min eller fortsätt i Datablist.","QUOTA_RUN_TOO_LARGE":"Den här sökningen överskrider din återstående dagskvot för det kostnadsfria verktyget. Prova med färre namn eller kom tillbaka om {hours} h {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} credits kvar i dag","QUOTA_REDUCE":"{remaining} credits kvar i dag. Den här profilsökningen kräver 25 credits.","QUOTA_WAIT":"Dagskvoten är förbrukad. Kom tillbaka om {hours} h {minutes} min.","CHALLENGE_REQUIRED":"Slutför verifieringen innan du kör sökningen.","RUN_FAILED":"Körningen kunde inte slutföras. Du kan öppna eventuella tillgängliga resultat eller försöka igen senare.","SUBMISSION_UNKNOWN":"Vi kontrollerar om din sökning har startat. Ladda om sidan för att kontrollera statusen. Skicka inte in den igen.","RETRY_STATUS":"Vi kunde inte kontrollera sökningen just nu. Ladda om sidan för att försöka igen.","EXPIRED":"Det här resultatet är inte längre tillgängligt i denna webbläsare.","BANNER":"Behöver du fler profiler? Fortsätt i Datablist.","BANNER_CTA":"Öppna Datablist","RESULT_CTA":"Berika en hel lista med LinkedIn-profiler i Datablist.","RESULT_CTA_BUTTON":"Öppna Datablist","CSV_NAME":"Namn","LOADING":"Laddar","ERROR":"Fel","COMPLETE":"Slutförd","HISTORY_TITLE":"Dina senaste sökningar","HISTORY_DESCRIPTION":"Öppna eller ta bort en sökning från den här webbläsaren medan resultaten är tillgängliga, i upp till 24 timmar. Om du tar bort den här stoppas inte sökningen och inga credits återställs.","HISTORY_REMOVE":"Ta bort {name} från den här webbläsaren","HISTORY_COMPLETE":"Slutförd","HISTORY_FAILED":"Kräver åtgärd","HISTORY_ATTENTION":"Kontrollerar status","HISTORY_RUNNING":"Pågår","LABEL":"URL till LinkedIn-profil eller lead i Sales Navigator","PLACEHOLDER":"https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/...","SCRAPE":"Skrapa profil","SAFETY":"Ingen LinkedIn-inloggning, inga cookies eller sessions-ID:n. Vi ansluter aldrig till ditt konto.","SAMPLES":"Eller prova ett exempel:","RESULTS":"Här är de extraherade uppgifterna för {name}, gratis.","TABLE":"Datatabell","OVERVIEW":"Översiktskort","PROPERTY":"Egenskap","VALUE":"Extraherat värde","IDENTITY":"Identitet och plats","CURRENT":"Nuvarande befattning och företagsdata","HISTORY":"Jobbhistorik ({count} befattningar)","EDUCATION_SKILLS":"Utbildning och språk","CONNECTIONS":"Kontakter","LANGUAGES":"Språk","NAME":"Fullständigt namn","FIRST_LAST":"För- och efternamn","HEADLINE":"Rubrik","SUMMARY":"Om / Sammanfattning","LOCATION":"Plats","LOCATION_VALUE":"{location} (Land: {country})","PROFILE_URL":"Profil-URL","URN":"LinkedIn-URN","JOB":"Nuvarande jobbtitel","COMPANY":"Företagsnamn","WEBSITE":"Företagets webbplats","INDUSTRY_SIZE":"Bransch och storlek","DATES":"Anställningstid / Datum","PREVIOUS_ROLE":"Tidigare roll nr {number}","ROLE_AT":"{title} på {company}","EDUCATION":"Utbildning nr {number}","SKILLS":"Främsta kompetenser","BIO":"Om / Biografi","POSITION":"Nuvarande befattning","PAST":"Tidigare erfarenheter","COPY_CSV":"Kopiera CSV","COPIED_CSV":"CSV kopierad","COPY_JSON":"Kopiera JSON","COPIED_JSON":"JSON kopierad","DOWNLOAD":"Ladda ner CSV","FULL_LIST":"Skrapa hela listan","RESULT_NOTE":"Den kostnadsfria förhandsvisningen extraherar fullständiga datapunkter från en enskild profil. För att skrapa hundratals eller tusentals profiler i bulk från en CSV utan risk för kontot använder du Datablists ","COPY_ERROR":"Kopieringen misslyckades. Försök igen eller ladda ner CSV-filen.","CSV_HEADERS":["Fullständigt namn","Förnamn","Efternamn","Rubrik","Jobbtitel","Företagsnamn","Företagets webbplats","Företagets LinkedIn-URL","Bransch","Intervall för antal anställda","Stad","Delstat","Land","Landskod","Normaliserad profil-URL","Sammanfattning","Tidigare erfarenhet 1 – titel","Tidigare erfarenhet 1 – företag","Tidigare erfarenhet 1 – datum","Tidigare erfarenhet 2 – titel","Tidigare erfarenhet 2 – företag","Tidigare erfarenhet 2 – datum","Utbildning – skola","Utbildning – examen","Språk"],"ERRORS":{"EMPTY":{"REASON":"Klistra in en URL till en LinkedIn-profil.","HINT":"Exempel: https://www.linkedin.com/in/satyanadella"},"INVALID_URL":{"REASON":"Det här ser inte ut som en giltig URL.","HINT":"Se till att klistra in en fullständig länk som börjar med linkedin.com"},"WRONG_SITE":{"REASON":"Det här är inte en LinkedIn-URL.","HINT":"URL:en pekar på \"{value}\". Klistra in en länk till en LinkedIn-profil."},"COMPANY":{"REASON":"Det här är en företags- eller institutionssida, inte en personlig profil.","HINT":"För att skrapa personer klistrar du in en individuell profil-URL i formatet linkedin.com/in/username"},"SEARCH":{"REASON":"Det här är en URL till sökresultat, inte en profil-URL.","HINT":"För att skrapa sökresultat kan du prova vår kostnadsfria Sales Navigator-skrapa. För det här verktyget klickar du på en profil och klistrar in personens individuella länk."},"POST":{"REASON":"Det här är ett inlägg eller en artikel i LinkedIn-flödet, inte en profil.","HINT":"Klicka på författarens namn för att visa profilen och kopiera och klistra sedan in profilens URL."},"PATH":{"REASON":"Okänd sökväg till LinkedIn-profil.","HINT":"Klistra in en profillänk som matchar linkedin.com/in/username eller en URL till ett lead i Sales Navigator."}},"VERIFIED_PROFILE":"Verifierad profil","SCRAPED_CLEAN":"Profildata","ENRICHMENT_LABEL":"LinkedIn-profilskrapa","RESULT_NOTE_SUFFIX":" bulkberikning.","DEBUG_NOTICE":"Felsökningsresultat från betaåtgärden. Detta är testdata, inte en sökning efter den angivna personen.","CHANGED":"Ändrad","UNCHANGED":"Oförändrad","CSV_HEADER_LINE":"Fullständigt namn|Förnamn|Efternamn|Rubrik|Jobbtitel|Företagsnamn|Företagets webbplats|Företagets LinkedIn-URL|Bransch|Intervall för antal anställda|Stad|Delstat|Land|Landskod|Normaliserad profil-URL|Sammanfattning|Tidigare erfarenhet 1 – titel|Tidigare erfarenhet 1 – företag|Tidigare erfarenhet 1 – datum|Tidigare erfarenhet 2 – titel|Tidigare erfarenhet 2 – företag|Tidigare erfarenhet 2 – datum|Utbildning – skola|Utbildning – examen|Språk"}},"UseCaseAiScraping":{"PAGE_TITLE":"AI Web Scraping utan kod","PAGE_DESC":"Skrapa tusentals webbplatser med en enkel prompt. Datablist's AI Agent förstår dina behov, navigerar på sidor och extraherar strukturerad data—utan kod.","USE_CASE":"Användningsområden","HERO_TITLE":"AI Web Scraping utan kod","HERO_DESC":"Skrapa tusentals webbplatser med en enkel prompt. Datablist's AI Agent förstår dina behov, navigerar på sidor och extraherar strukturerad data—utan kod.","PROBLEM_TITLE":"Traditionell Web Scraping fungerar inte","PROBLEM_BODY":"Web scrapers som förlitar sig på CSS-selektorer är sköra och kräver ständigt underhåll. En liten ändring i en webbplats layout kan krascha hela ditt workflow. Datablist's AI Agent löser detta genom att förstå innehåll som en människa, vilket gör den motståndskraftig mot uppdateringar av webbplatser.","PROMPT_TITLE":"Från enkla prompts till strukturerad data","PROMPT_CONTENT_1":"Glöm komplexa konfigurationer. Säg bara till AI Agent vad du behöver på enkel engelska. Vill du hitta VD:ns namn från en 'Om oss'-sida? Be om det. Behöver du extrahera produktpriser från en kategorisida? Beskriv bara vad du letar efter.","PROMPT_CONTENT_2":"Agenten tolkar dina instruktioner, surfar på webben och levererar ren, strukturerad data direkt till ditt kalkylblad.","SCALE_TITLE":"Byggd för att skala, prissatt för alla","SCALE_CONTENT_1":"Oavsett om du behöver skrapa tio webbplatser eller tiotusen är vår AI Agent redo. Den hanterar det tekniska som paginering och proxyhantering automatiskt, så att du kan fokusera på data, inte processen.","SCALE_CONTENT_2":"Vårt kreditbaserade system är kostnadseffektivt och låter dig köra storskaliga scraping-uppgifter utan att spräcka budgeten. Få den data du behöver, när du behöver den.","ROBUST_TITLE":"Anpassar sig till alla webbplatser, alla förändringar","ROBUST_CONTENT_1":"Den moderna webben är dynamisk och förändras ständigt. Vår AI Agent är byggd för att vara motståndskraftig. Eftersom den förstår sammanhanget och betydelsen i data är den inte beroende av en stel webbplatsstruktur.","ROBUST_CONTENT_2":"Det betyder mer tillförlitlig dataextraktion och mindre tid på att laga trasiga web scrapers. Låt AI hantera webben åt dig.","USECASES_TITLE":"Lås upp en värld av data med AI Scraping","USECASES_LEADGEN_TITLE":"Maxa din leadgenerering","USECASES_LEADGEN_CONTENT_1":"Gå bortom grundläggande firmografiska data. Använd AI Agent för att skrapa företagswebbplatser efter kundcase, tekniker som används eller senaste nyheter.","USECASES_LEADGEN_CONTENT_2":"Denna rika, kontextuella data är det perfekta bränslet för mycket personliga och effektiva outreach-kampanjer.","USECASES_MARKET_TITLE":"Automatisera marknads- och konkurrentanalys","USECASES_MARKET_CONTENT_1":"Sluta slösa timmar på manuell research. Övervaka automatiskt konkurrenters webbplatser för produktuppdateringar, prisändringar eller nya jobbannonser.","USECASES_MARKET_CONTENT_2":"Samla in kundrecensioner från sajter som Trustpilot eller Trusted Shops för att analysera sentiment och identifiera marknadstrender.","USECASES_ECOMMERCE_TITLE":"E-handel & produktbevakning","USECASES_ECOMMERCE_CONTENT_1":"Skrapa enkelt produktlistor från vilken e-handelssajt som helst. Extrahera namn, priser, SKU:er, beskrivningar och kundrecensioner.","USECASES_ECOMMERCE_CONTENT_2":"Håll koll på konkurrenternas lager, övervaka prissättningsstrategier eller aggregera produktdata till din egen plattform.","BENEFITS_TITLE":"Kraftfull Web Scraping, gjort enkelt","BENEFITS_NOCODE_TITLE":"No-code-gränssnitt","BENEFITS_NOCODE_BODY":"Inga programmeringskunskaper krävs. Om du kan skriva en instruktion kan du skrapa webben. Vårt intuitiva gränssnitt gör dataextraktion tillgängligt för alla.","BENEFITS_FLEXIBLE_TITLE":"Flexibelt & konfigurerbart","BENEFITS_FLEXIBLE_BODY":"Skräddarsy dina scraping-uppgifter efter dina exakta behov. Extrahera en enda datapunkt eller en hel datamängd. AI Agent anpassar sig efter dina specifika krav.","BENEFITS_SCALABLE_TITLE":"Skalbart & automatiserat","BENEFITS_SCALABLE_BODY":"Från små uppgifter till massiva datainsamlingsprojekt skalar vår AI Agent med dig. Schemalägg återkommande skrapningar för att hålla din data färsk och automatiskt uppdaterad.","BENEFITS_PRECISE_TITLE":"Precisa & strukturerade resultat","BENEFITS_PRECISE_BODY":"Få den data du behöver i ett rent, organiserat format. AI Agent levererar strukturerade resultat direkt till ett kalkylblad, redo för analys eller export.","SEE_ALSO":"Se även","VIDEO_TITLE":"Se AI Scraping i praktiken","VIDEO_TEXT":"Se hur du kan skapa en anpassad lead scoring-modell på under en minut med en enkel prompt. Inga formler, inget krångel."},"UseCaseDataCleaning":{"PAGE_TITLE":"Datarensning, automatiserad.","PAGE_DESC":"Datablist erbjuder en kraftfull och lättanvänd verktygslåda för att ta bort dubbletter, normalisera och berika din data – och förvandla kaos till klarhet.","USE_CASE":"Användningsområden","HERO_TITLE":"Datarensning, automatiserad.","VIDEO_TITLE":"Det #1 no-code-verktyget för datarensning","VIDEO_TEXT":"Extrahera, konvertera och rensa data med bara några klick. Inga begränsningar och definitivt inga fler formler.","HERO_DESC":"Sluta kämpa med röriga kalkylblad och överbelastade CRM-system. Datablist erbjuder en kraftfull och lättanvänd verktygslåda för att ta bort dubbletter, normalisera och berika din data – och förvandla kaos till klarhet.","MASTER_TITLE":"Från rörig data till handlingsbara insikter","MASTER_BODY":"Felaktig data kostar tid och pengar. Oavsett om den kommer från flera leadkällor, webbskrapat innehåll eller indata från olika team leder rörig data till misslyckade kampanjer och dåliga beslut. Datablist är din centrala hubb för att städa, konsolidera och standardisera dina listor i stor skala så att din data alltid är tillförlitlig och redo att användas.","DEDUPE_CRM_TITLE":"Ta bort dubbletter i ditt CRM och dina listor – intelligent","DEDUPE_CRM_CONTENT_1":"Ditt CRM är din sanningskälla, men dubbletter gör det opålitligt. 'John Smith' och 'Jon Smith' på 'Example Inc.' vs 'Example LLC' skapar förvirring. Datablist går längre än enkel matchning.","DEDUPE_CRM_CONTENT_2":"Våra avancerade algoritmer (fuzzy-, fonetisk och smart matchning) hittar och slår samman liknande personer och företag och konsoliderar informationen utan att tappa kritisk data. Rensa ditt Pipedrive, HubSpot eller valfri CRM-export på några minuter.","MERGE_TITLE":"Konsolidera data över flera filer","MERGE_CONTENT_1":"Du har leads i tre olika kalkylblad och kunddata i ett annat. Hur kombinerar du dem utan att skapa fler dubbletter? Att slå ihop filer manuellt är långsamt och felbenäget.","MERGE_CONTENT_2":"Datablist gör det enkelt. Importera alla dina listor, definiera en unik identifierare som en email eller webbplats, och låt våra verktyg slå ihop posterna. Vi kombinerar data från flera källor till en ren masterlista.","NORMALIZE_TITLE":"Standardisera och normalisera data med ett klick","NORMALIZE_CONTENT_1":"Inkonsekvent data är oanvändbar. Telefonnummer med olika format, blandade versaler/gemener i befattningar och röriga URL:er förhindrar effektiv filtrering och automatisering. Att fixa detta manuellt, rad för rad, är tidsödande.","NORMALIZE_CONTENT_2":"Använd Datablists bulkredigering för att korrigera datatyper, rensa skiftläge i text, ta bort extra mellanslag och normalisera telefonnummer och URL:er över tusentals poster direkt. Sätt en standard och applicera den på hela din datamängd.","CLEANING_GRID_TITLE":"Din kompletta verktygslåda för datarensning","CLEANING_GRID_DESC":"Allt du behöver för att omvandla rå, rörig data till en värdefull och organiserad tillgång.","GRID_DEDUPE_TITLE":"Avancerad deduplikering","GRID_DEDUPE_BODY":"Hitta och slå samman liknande poster med smart, fuzzy och fonetisk matchning som enkla kalkylblad inte klarar.","GRID_MERGE_TITLE":"Slå ihop och konsolidera listor","GRID_MERGE_BODY":"Kombinera flera CSV- eller Excel-filer till en enda masterlista med en unik nyckel för att uppdatera och konsolidera poster.","GRID_FIX_TITLE":"Korrigera datatyper","GRID_FIX_BODY":"Konvertera enkelt textfält till strukturerad data som datum, tal eller kryssrutor för korrekt sortering och filtrering.","GRID_AI_TITLE":"AI-driven rensning","GRID_AI_BODY":"Använd vårt AI Editing-verktyg för att generera anpassade skript från enkla text-promptar. Hantera komplexa rensningsuppgifter utan att skriva någon kod.","GRID_ENRICH_TITLE":"Berika och fyll luckor","GRID_ENRICH_BODY":"Komplettera dina poster genom att berika dem med saknad data. Hitta företagsdomäner, validera email och hämta profilinformation.","GRID_CONSOLIDATE_TITLE":"Konsolidera värden","GRID_CONSOLIDATE_BODY":"Slå ihop motstridig data från dubbletter. Kombinera flera telefonnummer eller anteckningar till en enda, ren post utan att förlora information.","LEARN_MORE":"Läs mer","SEE_ALSO":"Se även"},"UseCaseInventoryManagement":{"PAGE_TITLE":"Automatisera lagerhanteringen i din e-handel","PAGE_DESC":"Sluta slösa timmar på manuella uppdateringar. Hämta, rensa, översätt och synka leverantörskataloger automatiskt till alla dina säljkanaler med vår kraftfulla no-code-plattform.","USE_CASE":"Användningsområden","HERO_TITLE":"Automatisera lagerhanteringen i din e-handel","HERO_DESC":"Sluta slösa timmar på manuella uppdateringar. Hämta, rensa, översätt och synka leverantörskataloger automatiskt till alla dina säljkanaler med vår kraftfulla no-code-plattform.","INTRO_TITLE":"Från röriga kataloger till perfekta produktlistningar","INTRO_BODY":"Att hantera produktdata från flera leverantörer är en mardröm med omatchade format, dubbletter och ändlösa manuella korrigeringar. Datablist förvandlar detta kaos till ett strömlinjeformat, automatiserat workflow och säkerställer att ditt lager alltid är korrekt, uppdaterat och perfekt formaterat för varje marknadsplats.","VIDEO_TITLE":"Se AI-redigering i praktiken","VIDEO_TEXT":"Se hur du uppdaterar enheter i katalogen med en enkel prompt. Inga formler, inget krångel.","FETCH_TITLE":"Hämta leverantörskataloger automatiskt","FETCH_CONTENT_1":"Glöm manuella nedladdningar och röriga email-bilagor. Ställ in automatiska importer för att hämta katalogfiler från valfri källa\u0002oavsett om det är en URL, FTP-server eller API. Schemalägg uppdateringar dagligen, veckovis eller månadsvis så att din data alltid är aktuell.","FETCH_CONTENT_2":"Våra smarta webbskrapor kan till och med extrahera produktdata direkt från leverantörers webbplatser, så att du får ett konstant flöde av den senaste informationen utan att behöva lyfta ett finger.","TRANSFORM_TITLE":"Transformera och standardisera data med AI","TRANSFORM_CONTENT_1":"Leverantörsdata är sällan redo för din webbshop. Använd våra no-code-verktyg för datarensning för att standardisera kategorier, ta bort juridiska ändelser från varumärkesnamn, formatera priser och slå ihop dubbletter.","TRANSFORM_CONTENT_2":"Gå längre med AI-drivna omvandlingar. Generera automatiskt säljande produktbeskrivningar, översätt innehåll för internationella marknader och säkerställ att varje listning är optimerad för konvertering.","SYNC_TITLE":"Synka till valfri e-handelsplattform eller marknadsplats","SYNC_CONTENT_1":"När din data är ren och standardiserad kan du skicka den vart du än säljer. Datablist förbereder sömlöst din katalog för alla destinationer, inklusive Shopify, WooCommerce, Amazon med flera.","SYNC_CONTENT_2":"Vårt system ger tydliga statusuppdateringar för varje synkronisering, med automatiska försök igen vid eventuella misslyckanden. Hantera hela din multikanalverksamhet från en enda tillförlitlig källa.","BENEFITS_TITLE":"Kraften i ett automatiserat lager-workflow","BENEFITS_SCALE_TITLE":"Hantera enorma kataloger","BENEFITS_SCALE_BODY":"Hantera produktlistor med hundratusentals eller till och med miljontals artiklar utan ansträngning. Vår plattform är byggd för prestanda och skalbarhet.","BENEFITS_FLEXIBLE_TITLE":"Flexibel och enkel att konfigurera","BENEFITS_FLEXIBLE_BODY":"Vårt intuitiva no-code-gränssnitt låter dig bygga komplexa dataomvandlings-workflows på minuter, inte veckor. Inga utvecklare krävs.","BENEFITS_RELIABLE_TITLE":"Pålitlig och automatiserad","BENEFITS_RELIABLE_BODY":"Ställ in dina workflows en gång och låt dem rulla. Med tydlig statushantering och synkar med automatiska återförsök kan du lita på att din data alltid finns där den ska.","BENEFITS_COST_TITLE":"Kostnadseffektiv kraft","BENEFITS_COST_BODY":"Utnyttja vårt kreditbaserade system för att bara betala för det du använder. Få automation på enterprise-nivå till en bråkdel av kostnaden jämfört med traditionella lösningar.","TRANSLATE_TITLE":"Översätt produktkataloger för globala marknader","TRANSLATE_CONTENT_1":"Utöka din e-handelsräckvidd till internationella marknader genom att automatiskt översätta dina produktkataloger med Datablists AI. Gå bortom enkel översättning genom att lokalisera produktnamn så att de matchar hur lokala kunder faktiskt söker.","TRANSLATE_CONTENT_2":"Vår AI bevarar kritiska HTML- och JSON-strukturer i beskrivningar och specifikationer, vilket förhindrar tekniska fel vid återuppladdning till plattformar som Shopify eller WooCommerce. Denna kraftfulla no-code-lösning hjälper dig att skala globalt till en bråkdel av kostnaden jämfört med traditionella verktyg.","TRANSLATE_CTA":"Så här översätter du en produktkatalog","FILTER_TITLE":"Fördjupa dig i vilken katalog som helst, oavsett storlek","FILTER_CONTENT_1":"Sluta brottas med kalkylark som kraschar under tyngden av ditt lager. Datablist är byggt för att hantera massiva produktkataloger med upp till 1,5 miljoner artiklar, vilket vida överstiger gränserna för verktyg som Airtable eller Google Sheets.","FILTER_CONTENT_2":"Hitta snabbt exakt det du behöver med kraftfulla filtreringsverktyg. Gå bortom enkla sökningar genom att kombinera flera villkor med AND/OR-logik och filtergrupper för avancerade sökfrågor. För maximal precision, använd reguljära uttryck (regex) för att hitta produkter baserat på specifika mönster i deras SKU:er, titlar eller beskrivningar.","FILTER_CONTENT_3":"Gör inte om jobbet. Du kan spara vilken uppsättning komplexa filter som helst som ett anpassat \"Segment\" för snabb åtkomst senare. Dessa sparade filter är perfekta för att skapa dynamiska listor som \"nyheter\" eller \"kampanjvaror\" och delas automatiskt med ditt team så att alla arbetar utifrån samma vy.","SEE_ALSO":"Se även"},"UseCaseLeadBuilding":{"PAGE_TITLE":"Leadgenerering för growth-team","PAGE_DESC":"Det bästa verktyget för att gå på djupet i stora leadlistor. Organisera, berika och hitta de perfekta prospekten.","HERO_TITLE":"Bygg leadlistor för growth-team","USE_CASE":"Användningsfall","HERO_DESC":"Det bästa verktyget för att gå på djupet i stora leadlistor. Organisera, berika och hitta de perfekta prospekten.","MASTER_TITLE":"Hantera stora mängder leads","MASTER_BODY":"Datablist är byggt för att hantera miljoner poster. Definiera din datastruktur för leads och börja arbeta med dina data i en öppen och teknikvänlig plattform. Organisera dina leads i vårt kalkylbladsliknande gränssnitt eller via vårt API för att bygga komplexa dataplattformar. Upptäck kvalitetsleads att kontakta från dina stora leadlistor.","CRM_TITLE":"Bygg leadlistor innan de hamnar i ditt Sales CRM","CRM_CONTENT_1":"CRM-verktyg är perfekta för att följa engagerade prospekt. Men de passar inte för hundratusentals leads. Ditt growth-team behöver ett datalager uppströms för att konsolidera och hantera leads i stor skala.","CRM_CONTENT_2":"Att lagra kalla leads i ditt CRM är det snabbaste sättet att förorena det och få dyra fakturor.","DATABASE_TITLE":"Sluta lagra leads i en egen databas","DATABASE_CONTENT_1":"Lagrar du dina leads i en egen databas, Excel, Airtable eller ett datalager? Att välja något av dem innebär kompromisser. Flexibilitet framför skalbarhet. Eller komplexitet framför enkelhet.","DATABASE_CONTENT_2":"Datablist kombinerar kraften i en egen databas med flexibiliteten hos Airtable. Spara pengar och tid utan kompromisser.","NOCODE_TITLE":"Lätt att använda och teknikvänligt verktyg","NOCODE_CONTENT_1":"Hantera dina leads i ett kalkylbladsliknande gränssnitt. Kraftfull filtrering och sökning låter dig utforska hundratusentals leads på några sekunder.","NOCODE_CONTENT_2":"Med Datablist är CSV-filer förstklassiga. Importera stora CSV-filer och kombinera dem med unika identifierare för att skapa dina leadlistor. Dina data är dina data. Exportera dina leads till en CSV-fil för att använda dem i andra verktyg med ett klick.","NOCODE_CONTENT_3":"Vill du gå längre? Automatisera ditt dataflöde med serverless-funktioner kopplade till vårt öppna API.","CENTRALIZE_TITLE":"Centralisera alla dina leadkällor i ett och samma datalager","CENTRALIZE_SCRAPING_TITLE":"Din scraping-destination","CENTRALIZE_SCRAPING_CONTENT_1":"Extrahera data från externa källor och lagra dem i ditt datalager.","CENTRALIZE_SCRAPING_CONTENT_2":"Scrapa leads från sociala nätverk (LinkedIn, Facebook, Xing), företagskataloger (Crunchbase, AngelList), online-communities etc.","CENTRALIZE_NEWSLETTER_TITLE":"Nyhetsbrevsprenumeranter","CENTRALIZE_NEWSLETTER_CONTENT_1":"Följ upp och berika prenumeranter på din e-postlista för att hitta värdefulla prospekt.","CENTRALIZE_NEWSLETTER_CONTENT_2":"Använd webhooks från din e-postlista för att få användningsdata och hitta engagerade leads.","CENTRALIZE_SIGNUP_TITLE":"Berika dina nya användare","CENTRALIZE_SIGNUP_CONTENT_1":"Upptäck användare med engångs- eller professionella email-adresser. Berika dina nya användare automatiskt, hitta deras LinkedIn-profiler och engagera användare med hög potential.","CENTRALIZE_SIGNUP_CONTENT_2":"Koppla din produktanvändningsdata för att bygga en Customer Data Platform (CDP).","CENTRALIZE_MAGNET_TITLE":"Lagra nedladdningar av lead magnets","CENTRALIZE_MAGNET_CONTENT_1":"Lagra alla dina nya leads från whitepaper-nedladdningar, webbinarier och fysiska event i en och samma lista.","CENTRALIZE_MAGNET_CONTENT_2":"Berika manuellt eller med våra integrerade beriknings-API:er för att hitta möjligheter.","ENRICH_TITLE":"Rensa och berika dina leads","ENRICH_COMPANIES_TITLE":"Berika företag och profiler","ENRICH_COMPANIES_BODY":"Få komplett profilinformation med integrerade berikningstjänster. Hämta LinkedIn-konton från email-adresser eller email-adresser från namnen på dina leads. Berika i stor skala från valfria tjänster eller koppla dina egna.","CLEAN_TITLE":"Rensa dina data","CLEAN_BODY":"Håll dina data fräscha med Datablists läs- och skrivbara datalager. Använd våra funktioner för datastädning för att massrensa dina leads. Validera email-adresser för att hitta leverantörer av engångs-email och utesluta dem från dina kampanjer.","DEDUPLICATE_TITLE":"Ta bort dubbletter i dina leads","DEDUPLICATE_BODY":"Ta bort dubbletter av leads på ett ögonblick med Datablist Duplicates Finder. Välj en eller flera egenskaper för att avdubbla automatiskt. Slå samman motstridiga data med Datablist Merge Assistant.","MERGE_TITLE":"Skapa unika leadprofiler","MERGE_BODY":"Definiera unikhet utifrån en leads email-adress eller företagets webbplats för att skapa unika leadprofiler. Uppdatera dina leaddata eller konsolidera externa listor med hjälp av dina unika egenskaper.","SEE_ALSO":"Se även","DATA_SOURCES":"Data- och leadkällor","DATA_SOURCES_DESCRIPTION":"Boosta din pipeline med våra kraftfulla inbyggda leadkällor!","AI_RESEARCH_AGENT":"AI Research Agent","AI_RESEARCH_AGENT_DESCRIPTION":"Skala research på dina poster eller sätt upp automatiserade Google-sökningar med en enkel prompt.","ENRICHMENTS":"Berikningar","ENRICHMENTS_DESCRIPTION":"Skapa kraftfulla workflows med våra lättanvända berikningar"},"IndustryRecruiting":{"PAGE_TITLE":"Smartare rekrytering börjar här","PAGE_DESC":"Den oumbärliga no-code-plattformen för rekryteringsbyråer. Scrapa jobbannonser, berika företagsdata och hitta direkt kontaktinformation till rekryterande chefer.","HERO_TITLE":"Smartare rekrytering börjar här","INDUSTRY_LABEL":"Branscher","HERO_DESC":"Den oumbärliga no-code-plattformen för rekryteringsbyråer. Scrapa jobbannonser, berika företagsdata och hitta direkt kontaktinformation till rekryterande chefer.","WHY_DATABLIST_TITLE":"Sluta leta. Börja tillsätta.","WHY_DATABLIST_BODY":"Manuell sourcing är långsam, repetitiv och ger inkonsekventa resultat. Datablist automatiserar de mest tidsödande delarna av att sourca nya kunder och kandidater, så att du kan fokusera på det du gör bäst: bygga relationer och slutföra tillsättningar.","FIND_JOBS_TITLE":"Upptäck alla rekryteringsmöjligheter","FIND_JOBS_CONTENT_1":"Missa aldrig en lead. Använd vår AI Scraper för att extrahera jobbannonser från vilken jobbsajt som helst, som LinkedIn, Indeed eller från en lista över målbolagens karriärsidor.","FIND_JOBS_CONTENT_2":"Bygg enkelt en realtidsdatabas över lediga tjänster som matchar dina nyckelord och din expertis, vilket ger ett konstant flöde av kvalificerade kundleads.","FIND_CONTACTS_TITLE":"Hitta rätt beslutsfattare","FIND_CONTACTS_CONTENT_1":"En jobbannons är bara början. Datablist berikar företagsdata för att avslöja personerna bakom titlarna. Identifiera avdelningschefer, team leads och rekryterande chefer inom dina målbolag.","FIND_CONTACTS_CONTENT_2":"Segmentera dina listor efter jobbtitel, avdelning eller senioritetsnivå så att din outreach alltid riktas till personen med mandat att rekrytera.","GET_DETAILS_TITLE":"Ta kontakt direkt, på en gång","GET_DETAILS_CONTENT_1":"Sluta slösa tid på att leta kontaktuppgifter. Vår kraftfulla Waterfall-berikning hittar verifierade, professionella emailadresser och telefonnummer till dina målpersoner.","GET_DETAILS_CONTENT_2":"Med högre träffsäkerhet och en kostnadseffektiv, kreditbaserad modell kan du bygga användbara kontaktlistor snabbare och billigare än någonsin.","BENEFITS_TITLE":"Ett orättvist övertag för din byrå","EASY_USE_TITLE":"Kom igång på några minuter","EASY_USE_BODY":"Kom igång direkt med vårt intuitiva, kalkylbladsliknande gränssnitt. Inga tekniska kunskaper krävs för att bygga kraftfulla sourcing-workflows.","FLEXIBLE_TITLE":"Ditt workflow, på ditt sätt","FLEXIBLE_BODY":"Anpassa varje steg, från scraping-mål till berikningssekvenser. Datablist anpassar sig till din unika sourcing-strategi – inte tvärtom.","COST_EFFECTIVE_TITLE":"Betala efter behov","COST_EFFECTIVE_BODY":"Vårt kreditbaserade system innebär att du bara betalar för det du använder. Perfekt för byråer i alla storlekar, från solo-rekryterare till stora team.","ALL_IN_ONE_TITLE":"Allt på ett ställe","ALL_IN_ONE_BODY":"Från scraping och rensning till berikning och export. Hantera hela din pipeline för kund- och kandidatdata utan att jonglera flera verktyg.","SEE_ALSO":"Se även","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"Extrahera strukturerad data från vilken webbplats som helst med en enkel prompt. Perfekt för jobbsajter, företagssidor och mycket mer.","ENRICHMENTS":"Berikningar","ENRICHMENTS_DESCRIPTION":"Skapa kraftfulla workflows med våra lättanvända berikningar för företags- och kontaktdata.","FAQ_Q1":"Hur hittar Datablist lediga jobb?","FAQ_A1":"Vår Job Postings Scraper skannar över 19 ledande jobbsajter, inklusive Indeed och Glassdoor. Du kan också använda vår AI Agent för att scrapa specifika företags karriärsidor eller valfri nischad jobbsajt automatiskt, vilket ger ett konstant flöde av kundmöjligheter.","FAQ_Q2":"Hur hittar ni kontaktuppgifter till rekryterande chefer?","FAQ_A2":"När du har en lista över företag hittar vår Waterfall People Search-berikning rätt kontakter inom organisationerna. Du kan söka på jobbtitel, senioritet eller avdelning för att ringa in beslutsfattare.","FAQ_Q3":"Är kontaktuppgifterna korrekta och verifierade?","FAQ_A3":"Ja. Vår Waterfall Email Finder och Phone Finder frågar flera dataleverantörer för att hitta verifierade professionella emailadresser och direktnummer. Denna multi-source-ansats ger dig högre träffgrad än verktyg med en enda leverantör.","FAQ_Q4":"Riskerar jag mitt LinkedIn-konto genom att använda era scrapers?","FAQ_A4":"Nej. Till skillnad från webbläsartillägg körs våra scrapers i molnet och kräver inte dina personliga LinkedIn-uppgifter. Det håller ditt konto 100 % säkert från begränsningar eller avstängningar.","FAQ_Q5":"Vad kostar det?","FAQ_A5":"Datablist använder ett flexibelt, pay-as-you-go kreditsystem. Du betalar bara för den data du får. Till exempel räcker en påfyllning på 20 $ i krediter för att scrapa tusentals jobbannonser. Denna modell passar byråer i alla storlekar och låter dig skala din sourcing utan en stor initial investering.","FAQ_Q6":"Kan jag rikta in mig på jobb i specifika branscher eller platser?","FAQ_A6":"Ja. Våra jobbscrapers har avancerade filter som låter dig rikta in jobbannonser efter nyckelord, bransch, företagsstorlek, plats och senioritetsnivå. Du kan till och med exkludera rekryteringsbyråer för att fokusera enbart på direkta arbetsgivare.","FAQ_Q7":"Jag har röriga kandidatlistor. Kan Datablist hjälpa till att rensa dem?","FAQ_A7":"Absolut. Datablist innehåller kraftfulla verktyg för datarensning och deduplicering. Du kan enkelt slå ihop dubblettkontakter från olika källor, standardisera jobbtitlar och formatera din data utan komplexa formler.","FAQ_Q8":"Kan jag automatisera sourcing-processen?","FAQ_A8":"Ja. Du kan schemalägga jobbscrapers att köras dagligen, veckovis eller månadsvis. Datablist hittar automatiskt nya jobbannonser som matchar dina kriterier och ger dig en jämn källa till nya leads."},"IndustryVentureCapital":{"PAGE_TITLE":"Operativsystemet för moderna VC:er","PAGE_DESC":"Identifiera, screena och spåra tusentals startups med en AI-driven dataplattform. Lämna röriga kalkylblad och rigida CRM-system. Bygg din dealflow-motor med Datablist.","INDUSTRY_LABEL":"Branscher","HERO_TITLE":"Operativsystemet för moderna VC:er","HERO_DESC":"Identifiera, screena och spåra tusentals startups med en AI-driven dataplattform. Lämna röriga kalkylblad och rigida CRM-system. Bygg din dealflow-motor med Datablist.","WHY_DATABLIST_TITLE":"Ditt CRM är inte byggt för riskkapital","WHY_DATABLIST_BODY":"CRM-system är för säljpipelines, inte för dealflow. De är rigida, dyra och brister i att följa de tusentals bolag i tidigt skede som finns på din radar. Datablist är en flexibel, skalbar datahubb utformad för att hantera riskkapitalets unika datautmaningar.","SOURCE_DEALS_TITLE":"Hitta deals innan de blir allmängods","SOURCE_DEALS_CONTENT_1":"Gå bortom ditt nätverk och inbound-förfrågningar. Använd vår AI Scraper för att hitta lovande startups från plattformar som ProductHunt, IndieHackers och andra nischade kataloger.","SOURCE_DEALS_CONTENT_2":"Få ett försprång genom att identifiera bolag med hög potential först och följa framväxande trender innan de blir mainstream.","TRACK_COMPANIES_TITLE":"Följ tillväxtsignaler – inte bara finansieringsrundor","TRACK_COMPANIES_CONTENT_1":"Finansiering är en eftersläpande indikator på framgång. Följ realtidssignaler som verkligen betyder något. Våra job board-scrapers identifierar vilka startups som rekryterar till nyckelroller – en tydlig signal om product-market fit och skalning.","TRACK_COMPANIES_CONTENT_2":"Övervaka rekryteringstrender för att bedöma ett bolags utveckling och fatta datadrivna investeringsbeslut.","SCORE_STARTUPS_TITLE":"Bygg anpassade scoring-modeller med AI","SCORE_STARTUPS_CONTENT_1":"Sluta förlita dig enbart på magkänslan. Använd våra AI Editing-verktyg för att bygga kraftfulla, anpassade scoring-algoritmer. Ranka startups baserat på teamets erfarenhet, tech stack, marknadssignaler och dina egna unika kriterier.","SCORE_STARTUPS_CONTENT_2":"Identifiera systematiskt och fokusera teamets energi på de översta 1 % av möjligheterna i din pipeline.","DILIGENCE_TITLE":"Alla verktyg du behöver för due diligence och uppföljning","FEATURE_DATA_TITLE":"Datakonsolidering","FEATURE_DATA_BODY":"Rengör, deduplicera och slå samman data från flera källor till en enda masterlista. Håll din startup-databas ren och tillförlitlig.","FEATURE_ENRICH_TITLE":"Företagsberikning","FEATURE_ENRICH_BODY":"Berika företagsprofiler automatiskt med firmografiska data, tech stacks, webbplatsdata och mer för en 360-graders vy.","FEATURE_CONTACTS_TITLE":"Outreach till grundare","FEATURE_CONTACTS_BODY":"Hitta verifierade emailadresser och telefonnummer till grundare och nyckelpersoner med vår Waterfall Enrichment. Låt första kontakten räknas.","FEATURE_API_TITLE":"API & integrationer","FEATURE_API_BODY":"Koppla Datablist till dina interna verktyg och automatisera hela ditt data-workflow med vårt flexibla, utvecklarvänliga API.","SEE_ALSO":"Se även","VIDEO_TITLE":"Se AI Agent i praktiken","VIDEO_TEXT":"Se hur AI Agent kan besöka en lista med startup-webbplatser och extrahera strukturerad kontaktinformation. En uppgift som är omöjlig för traditionella scrapers.","FAQ_Q1":"Hur skiljer sig Datablist från ett traditionellt CRM?","FAQ_A1":"CRM-system är utformade för linjära säljprocesser och blir röriga när man ska följa tusentals potentiella deals. Datablist är en flexibel datahubb byggd för skalan och komplexiteten i riskkapitalets dealflow, så att du kan hantera enorma mängder startup-data utan säljpipelinens rigiditet.","FAQ_Q2":"Kan Datablist hjälpa oss att hitta nya startups?","FAQ_A2":"Ja. Du kan använda vår AI Agent för att skrapa startupkataloger som ProductHunt eller IndieHackers och hitta lovande bolag innan de dyker upp på allas radar. Det hjälper dig att upptäcka högpotential-deals tidigt.","FAQ_Q3":"Vilka typer av tillväxtsignaler kan vi följa?","FAQ_A3":"I stället för att bara förlita er på finansieringsnyheter kan ni följa realtidssignaler. Våra job board-scrapers hittar startups som aktivt rekryterar till nyckelroller, vilket är en stark signal om tillväxt och product-market fit.","FAQ_Q4":"Hur fungerar AI-scoringmodellen?","FAQ_A4":"Du kan bygga anpassade scoring-modeller med våra AI-verktyg. Du definierar de kriterier som är viktiga för din tes – som teamets erfarenhet, tech stack eller marknadstrender – och AI genererar ett skript som rankar varje startup i din pipeline, så att du kan fokusera på de bästa möjligheterna.","FAQ_Q5":"Vår data är rörig och utspridd över flera kalkylblad. Hur kan ni hjälpa?","FAQ_A5":"Datablist är mycket bra på datakonsolidering. Du kan importera data från flera källor och sedan använda våra verktyg för att rengöra, deduplicera och slå ihop allt till en enda, tillförlitlig masterlista över startups.","FAQ_Q6":"Hur hanterar Datablist tusentals bolag? Blir det långsamt?","FAQ_A6":"Datablist är byggt för att hantera stora datamängder och klarar upp till 1,5 miljoner poster per lista, vilket vida överstiger gränserna i kalkylblad eller verktyg som Airtable. Du kan filtrera, sortera och hantera tusentals bolag snabbt utan prestandaproblem.","FAQ_Q7":"Kan ni hjälpa oss att hitta kontaktinformation till grundare?","FAQ_A7":"Ja. När du har identifierat en lovande startup kan våra Waterfall Enrichment-verktyg hitta verifierade emailadresser och telefonnummer till grundare och nyckelpersoner, vilket gör din första outreach mer effektiv.","FAQ_Q8":"Behöver jag en utvecklare för att använda Datablist?","FAQ_A8":"Nej. Datablist är en no-code-plattform med ett användarvänligt kalkylbladsgränssnitt. Du kan bygga komplexa data-workflows, från sourcing till scoring, utan att skriva kod."},"IndustryRetailAndECommerce":{"PAGE_TITLE":"Effektivisera er detaljhandels- och e-handelsverksamhet","PAGE_DESC":"Hantera era produktkataloger, leverantörsflöden och kunddata enkelt. Datablist är den flexibla no-code-plattformen för detaljhandel och e-handelsföretag.","HERO_TITLE":"Effektivisera er detaljhandels- och e-handelsverksamhet","INDUSTRY":"Bransch","HERO_DESC":"Hantera era produktkataloger, leverantörsflöden och kunddata enkelt. Datablist är den flexibla no-code-plattformen för detaljhandel och e-handelsföretag.","MASTER_TITLE":"Er centrala nav för e-handelsdata","MASTER_BODY":"Sluta jonglera flera kalkylblad och komplexa databaser. Datablist ger er en enda, lättanvänd plattform för att hantera all er e-handelsdata. Vårt flexibla no-code-gränssnitt och kreditbaserad prissättning gör det till en kostnadseffektiv lösning för företag i alla storlekar.","PRODUCT_CATALOG_TITLE":"Konsolidera och städa er produktkatalog","PRODUCT_CATALOG_CONTENT_1":"Importera produktdata från vilken källa som helst och konsolidera den till en enda, ren katalog. Våra kraftfulla datastädningsverktyg hjälper er att standardisera enheter och priser samt rensa bort HTML från beskrivningar.","PRODUCT_CATALOG_CONTENT_2":"Med Datablist kan ni enkelt hantera tusentals produkter och säkerställa att er data alltid är korrekt och uppdaterad.","SUPPLIER_FEEDS_TITLE":"Automatisera era leverantörsflöden","SUPPLIER_FEEDS_CONTENT_1":"Hämta automatiskt leverantörers pris- och lagerflöden för att hålla ert lager i synk. Datablist kan ansluta till externa APIs, vilket gör det enkelt att integrera med era leverantörers system.","SUPPLIER_FEEDS_CONTENT_2":"Spara tid och minska fel genom att automatisera den här kritiska delen av er verksamhet.","FEATURES_TITLE":"Allt ni behöver för att lyckas","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"Konsolidera produktkataloger","CONSOLIDATE_PRODUCT_CATALOG_BODY":"Slå ihop produktdata från flera leverantörer och källor till en huvudkatalog.","CLEAN_DATA_TITLE":"Städa er data","CLEAN_DATA_BODY":"Standardisera och städa produktinformation, inklusive enheter, priser och HTML, för ett enhetligt och professionellt uttryck.","TRANSLATE_PRODUCT_TITLE":"Översätt produktinformation","TRANSLATE_PRODUCT_BODY":"Översätt enkelt produkttitlar och beskrivningar för att nå en global målgrupp.","GENERATE_PRODUCT_TEXT_TITLE":"Generera produkttexter med AI","GENERATE_PRODUCT_TEXT_BODY":"Använd AI för att skapa övertygande produktbeskrivningar och annan text, vilket sparar tid och arbete.","SYNC_TO_EXTERNAL_APIS_TITLE":"Synka till externa APIs","SYNC_TO_EXTERNAL_APIS_BODY":"Integrera med era andra verktyg och system genom att synka er data till externa APIs.","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"Hämta leverantörsflöden","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"Uppdatera automatiskt er produktinformation genom att hämta de senaste pris- och lagerflödena från era leverantörer.","AGGREGATE_ORDER_FEEDS_TITLE":"Aggregatera orderflöden","AGGREGATE_ORDER_FEEDS_BODY":"Få en komplett bild av er försäljning genom att aggregatera orderflöden från alla era kanaler.","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"Hantera kund- och målgruppslistor","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"Håll era kund- och målgruppslistor rena och organiserade för mer effektiva marknadsföringskampanjer.","FAQ_Q1":"Min produktdata är rörig och kommer från flera leverantörer i olika format. Hur kan Datablist hjälpa?","FAQ_A1":"Datablist är byggt för att lösa just detta. Du kan importera produktdata från flera CSV- eller Excel-filer till en enda huvudkatalog. Vår Duplicates Finder hjälper dig sedan att slå ihop dubbletter av produktposter, och du kan till och med summera numeriska värden som lagersaldon automatiskt.","FAQ_Q2":"Kan Datablist översätta mina produktbeskrivningar utan att förstöra HTML- eller JSON-formatet?","FAQ_A2":"Ja. Vår AI-drivna översättare, som använder modeller som ChatGPT, klarar komplext innehåll. Du kan ange egna instruktioner för att säkerställa att den bara översätter texten och samtidigt bevarar alla HTML-taggar och JSON-strukturer, perfekt för e-handelskataloger.","FAQ_Q3":"Mitt kalkylblad kraschar med vår stora produktkatalog. Hur många produkter kan Datablist hantera?","FAQ_A3":"Kalkylblad har svårt med stora datamängder, men Datablist är byggt för skala. Du kan enkelt hantera produktkataloger med upp till 1,5 miljoner poster per collection, långt bortom gränserna för verktyg som Airtable eller Google Sheets.","FAQ_Q4":"Hur importerar jag min katalog från en plattform som Shopify eller WooCommerce?","FAQ_A4":"E-handelsplattformar som Shopify och WooCommerce låter dig exportera din produktkatalog som en CSV-fil. Du kan importera den CSV-filen direkt till Datablist för att börja städa, berika eller översätta din data.","FAQ_Q5":"Kan jag automatisera hämtning av pris- och lageruppdateringar från mina leverantörer?","FAQ_A5":"Ja. Om dina leverantörer tillhandahåller data via ett API kan du använda vår datakälla 'Import from a remote CSV or JSON file' för att automatiskt hämta och uppdatera din produktinformation. Det hjälper dig att hålla lager och priser i synk utan manuellt arbete.","FAQ_Q6":"Är Datablist ett bra verktyg för e-handelsbyråer som hanterar flera kundkataloger?","FAQ_A6":"Absolut. Du kan skapa separata collections för varje kunds produktkatalog och organisera dem i mappar för enkel hantering. Det gör det till ett centralt och effektivt nav för alla dina uppgifter inom datastädning och datahantering.","FAQ_Q7":"Hur kan jag städa upp inkonsekvent produktdata, som priser eller HTML i beskrivningar?","FAQ_A7":"Datablist erbjuder flera datastädningsverktyg som är perfekta för produktkataloger. Du kan konvertera text med HTML-taggar till ren klartext, normalisera tal med olika avgränsare, ta bort extra blanksteg och ändra textens skiftläge, så att din data blir konsekvent.","FAQ_Q8":"Kan AI hjälpa mig att skriva unika produktbeskrivningar?","FAQ_A8":"Ja. Du kan använda vår enrichment 'Ask ChatGPT' för att generera övertygande produktbeskrivningar utifrån dina produktegenskaper. Det sparar tid och hjälper dig att skapa unikt innehåll i stor skala."},"IndustrySaaSAI":{"PAGE_TITLE":"GTM-co-piloten för SaaS- och AI-startups","PAGE_DESC":"Sluta jonglera röriga kalkylblad och dyra verktyg. Datablist är din allt-i-ett-plattform för att hitta, rensa och berika leads, så att du kan fokusera på att stänga affärer.","HERO_TITLE":"GTM-co-piloten för SaaS- och AI-startups","INDUSTRY_LABEL":"Branscher","HERO_DESC":"Sluta jonglera röriga kalkylblad och dyra verktyg. Datablist är din allt-i-ett-plattform för att hitta, rensa och berika leads, så att du kan fokusera på att stänga affärer.","MASTER_TITLE":"Bygg din säljmotor snabbare","MASTER_BODY":"Som startup är fart allt. Du behöver ett konstant flöde av kvalificerade leads, men att bygga en säljpipeline tar tid. Datablist effektiviserar hela processen, från att hitta prospekt till att personalisera outreach – allt i en lättanvänd no-code-plattform.","PROBLEM_TITLE":"Det är din leadgenerering som är trasig – inte din produkt","PROBLEM_CONTENT_1":"Du scrapar data, köper listor och exporterar från ditt CRM, men det slutar i kaos. Kalkylblad kraschar, data blir inaktuell och ditt team slösar timmar på manuell datainmatning i stället för att sälja.","PROBLEM_CONTENT_2":"Skräddarsydda databaser är ett resursläckage och flera abonnemang på olika verktyg blir snabbt dyrt. Denna ineffektivitet kostar dig affärer.","SOLUTION_TITLE":"En plattform för att bygga, rensa och berika","SOLUTION_CONTENT_1":"Datablist kombinerar kraften i en databas med enkelheten i ett kalkylblad. Det är ett flexibelt no-code-verktyg byggt för GTM-team på snabbfotade startups.","SOLUTION_CONTENT_2":"Samla alla dina leadkällor, städa upp rörig data, berika kontakter med färsk information och automatisera dina workflows utan att skriva en rad kod. Det är den flexibla och kostnadseffektiva lösningen du behöver för att skala.","FEATURES_TITLE":"Allt du behöver för att driva din tillväxt","GRID_SOURCE_TITLE":"Hitta leads med hög köpintention","GRID_SOURCE_BODY":"Gå bortom statiska databaser. Använd vår Job Board Scraper för att hitta företag som aktivt rekryterar – en tydlig signal om budget och ett problem att lösa. Få färska leads dagligen.","GRID_SCRAPE_TITLE":"AI-driven scraping","GRID_SCRAPE_BODY":"Bygg unika leadlistor som dina konkurrenter inte kan köpa. Vår AI Agent scrapar vilken webbplats som helst för att hitta nischad data, kundcase eller specifika teknologier som ett företag använder.","GRID_PERSONALIZE_TITLE":"Personalisera outreach i stor skala","GRID_PERSONALIZE_BODY":"Sluta skicka generiska email. Använd AI Agent för att samla unika insikter för varje prospekt. Hitta ingångar som visar att du gjort din hemläxa och få fler svar.","GRID_DEDUPE_TITLE":"Ta bort dubbletter och slå ihop","GRID_DEDUPE_BODY":"Städa upp dina lead- och kundlistor med vår kraftfulla Duplicates Finder. Slå ihop dubbla poster från flera källor utan att förlora värdefull data och skapa en enda sanningskälla.","GRID_CLEAN_TITLE":"Rensa och berika ditt CRM","GRID_CLEAN_BODY":"Håll din CRM-data korrekt och uppdaterad. Validera emails, standardisera företagsnamn och berika poster med färsk data från LinkedIn och andra leverantörer för bättre kampanjresultat.","GRID_AUTOMATE_TITLE":"Automatisera dina workflows","GRID_AUTOMATE_BODY":"Sätt upp återkommande uppgifter för ett konstant flöde av nya, berikade leads. Schemalägg scrapers och berikningar att köras dagligen eller veckovis, så att ditt säljteam alltid har en full pipeline.","WORKFLOW_TITLE":"Ett beprövat workflow för högkvalitativa leads","WORKFLOW_STEP1_TITLE":"1. Hitta företag med köpintention","WORKFLOW_STEP1_CONTENT_1":"Börja med att hitta företag med ett tydligt behov. Använd vår Job Postings Scraper för att identifiera verksamheter som aktivt rekryterar roller som din produkt eller tjänst stödjer.","WORKFLOW_STEP1_CONTENT_2":"Det är en av de starkaste signalerna på budget och ett brådskande problem att lösa.","WORKFLOW_STEP2_TITLE":"2. Hitta beslutsfattare och kontaktinfo","WORKFLOW_STEP2_CONTENT_1":"När du har dina target accounts använder du vår Waterfall People Search för att hitta rätt kontakter i dessa företag – som Head of Sales eller en Marketing Director.","WORKFLOW_STEP2_CONTENT_2":"Använd sedan vår email finder och phone finder för att få verifierad kontaktinformation.","WORKFLOW_STEP3_TITLE":"3. Samla insikter för personalisering","WORKFLOW_STEP3_CONTENT_1":"Här skaffar du dig ett övertag. Använd AI Agent för att researcha varje prospekt. Be den hitta deras senaste blogginlägg, kundcase eller till och med vilka SaaS-verktyg de använder.","WORKFLOW_STEP3_CONTENT_2":"Du får unika insikter för att skapa outreach-meddelanden som sticker ut och får svar.","WORKFLOW_STEP4_TITLE":"4. Rensa och färdigställ din lista","WORKFLOW_STEP4_CONTENT_1":"Innan du startar din outreach, kör den slutliga listan genom vår Duplicates Finder. Den slår ihop dubbletter av kontakter eller företag och säkerställer en ren, organiserad lista.","WORKFLOW_STEP4_CONTENT_2":"Nu är din lista redo att synkas med ditt sälj-CRM eller en email sequencer.","SEE_ALSO":"Se även","FAQ_Q1":"Hur skiljer sig Datablist från en standard B2B-databas som ZoomInfo eller Apollo?","FAQ_A1":"Medan B2B-databaser levererar statisk, förinsamlade data ger Datablist dig möjligheten att bygga färska, proprietära leadlistor från källor i realtid. Du kan använda våra Job Scrapers för att hitta företag med aktiv rekryteringsintention – en stark köpsignal. Vår AI Agent kan även göra custom web scraping för att samla nischad data som ingen databas erbjuder, vilket ger dig ett unikt konkurrensövertag.","FAQ_Q2":"Min startup behöver högkvalitativa leads, snabbt. Hur kan Datablist hjälpa?","FAQ_A2":"Datablist är byggt för hastighet. Börja med att hitta företag med omedelbara behov via vår Job Postings Scraper, som samlar data från över 19 jobbsajter. Använd sedan våra Waterfall-berikningsverktyg för att snabbt hitta beslutsfattare och deras verifierade kontaktinformation. Hela workflowet – från att sourca konton till att ha en lista redo för outreach – kan göras på några minuter.","FAQ_Q3":"Behöver jag en utvecklare eller tekniska färdigheter för att använda Datablist?","FAQ_A3":"Nej, Datablist är en no-code-plattform. Den kombinerar ett användarvänligt kalkylbladsgränssnitt med kraftfull AI och automationsverktyg. Du kan göra komplexa uppgifter som web scraping, datarensning och enrichment med enkla, naturliga language prompts och ett point-and-click-gränssnitt. Den är byggd för GTM-team, inte utvecklare.","FAQ_Q4":"Hur hjälper Datablist mitt säljteam med email-personalisering?","FAQ_A4":"Generisk outreach fungerar inte. Datablists AI Agent fungerar som en researchassistent åt ditt säljteam. Du kan instruera den att besöka varje prospekts webbplats och hitta unika pratpunkter, som senaste kundcase, specifika teknologier de använder eller företagsnyheter. Det gör att du kan skapa högst personliga meddelanden i skala och kraftigt öka svarsfrekvensen.","FAQ_Q5":"Vi har röriga leadlistor från flera källor. Hur hanterar Datablist rensning och deduplicering?","FAQ_A5":"Datablist är bäst i klassen på datahygien. Vår Duplicates Finder använder avancerade algoritmer, inklusive fuzzy matching, för att identifiera liknande poster över flera filer – även med små variationer i namn eller detaljer. Du kan sedan automatiskt slå ihop dubbletter, kombinera motstridig information (som flera telefonnummer) utan att förlora data och standardisera fält för att skapa en enda, ren sanningskälla.","FAQ_Q6":"Kan jag automatisera leadgenerering för att få ett kontinuerligt flöde av prospekt?","FAQ_A6":"Ja. Datablist är byggt för automation. Du kan schemalägga dina datakällor, som Job Postings Scraper, att köras dagligen eller veckovis. Det säkerställer att ditt team alltid har en färsk lista med företag med hög köpintention att bearbeta, vilket skapar en konsekvent och förutsägbar säljpipeline med minimal manuell insats.","FAQ_Q7":"Är prismodellen kostnadseffektiv för en startup?","FAQ_A7":"Absolut. Datablist använder ett kreditbaserat system för berikningar, så du betalar bara för det du använder – perfekt för startups med budgetansvar. Många funktioner, som Free Email Validator, är obegränsade och våra betalplaner är betydligt mer prisvärda än att abonnera på flera separata verktyg för scraping, rensning och enrichment.","FAQ_Q8":"Hur integrerar Datablist med ditt befintliga CRM och dina säljverktyg?","FAQ_A8":"Datablist är gjort för att passa in i ditt befintliga workflow. Vi erbjuder en direktintegration med Pipedrive för smidig datasynk. För andra CRM som HubSpot eller Salesforce kan du enkelt exportera dina rensade och berikade listor som CSV- eller Excel-filer för snabb import. Du kan också koppla Datablist till tusentals appar via verktyg som Zapier."},"Alternatives":{"HERO_DESC":"Datablist är ett verktyg för Lead Management och ett bra alternativ till {toolName}. Datablist är det perfekta verktyget för att bygga skräddarsydda workflows för leadgenerering. Jämför Datablist och {toolName} och se vilket verktyg som passar dig bäst.","WHAT_IS_TITLE":"Vad är {toolName}?","WHAT_IS_DESC":"{toolName} är ett SaaS-verktyg som hjälper säljteam att köra outreach-kampanjer. Det integrerar flera tjänster för databerikning och automatiserar skapandet av personliga outreach-meddelanden med AI. Sedan kopplar {toolName} mot CRM-system och outreach-verktyg för att skicka kampanjerna.","COMPARISON_TITLE":"Var är Datablist bättre?","COMPARISON_CONTENT_1":"Datablist och {toolName} är två verktyg för att hantera leadlistor.","COMPARISON_CONTENT_2":"Datablist fokuserar på datastädning, deduplicering av leads och skräddarsydda workflows med vårt REST API. Datablist är snabbt och kan hantera hundratusentals leads utan problem.","COMPARISON_CONTENT_3":"Clay fokuserar på leads sourcing och waterfall-berikning.","COMPARISON_CONTENT_4":"Om du vill bygga en centraliserad leads-databas med avancerad deduplicering och kraftfull datastädning för att säkerställa datakvalitet är Datablist för dig.","BENEFITS_TITLE":"Varför byter team från {toolName} till Datablist?","COST_EFFECTIVE_TITLE":"Datablist är ett billigare alternativ till {toolName}","COST_EFFECTIVE_DESC":"Clay har en begränsad gratisplan. Clays startplan börjar på 149 USD/månad med endast 2 000 credits. Datablist har ett billigare månadsabonnemang och billigare kreditpaket. Ju mer du använder verktyget för web scraping, datastädning och databerikning av dina leads, desto mer pengar sparar du med Datablist.","CLEANING_TITLE":"Avancerade verktyg för datastädning och deduplicering","CLEANING_DESC":"Datablist erbjuder avancerade verktyg för datastädning. Från konvertering av datatyper till normalisering av data – Datablist slår kalkylbladsverktyg för datastädning i stor skala. Lead-deduplicering är en inbyggd funktion i Datablist. Fuzzy matching och avancerad sammanslagning av dubletter förhindrar att du berikar samma lead två gånger.","API_TITLE":"Utbyggbart via API","API_DESC":"Datablists datalager är fullt åtkomligt via API. Skapa collections, properties och items med vårt RESTful API. Använder du Make.com eller Zapier? Koppla dem till Datablist via API:t för att bygga kraftfulla outreach-workflows.","SCALE_TITLE":"Hantera större listor","SCALE_DESC":"Datablist hanterar upp till 100 000 items med molnsynkronisering och upp till 2 miljoner items för datamanipulation, transformation och datastädning. Skala din lead management utan prestandaproblem.","SUPERIOR_TITLE":"Datablist: Ett överlägset alternativ för leadgenerering","SUPERIOR_INTRO":"På Datablist förstår vi utmaningarna användare stöter på med andra verktyg för leadgenerering som Clay. Därför har vi utformat vår plattform så att den är användarvänlig, snabb och lätt att integrera i dina befintliga workflows. Vårt intuitiva gränssnitt säkerställer en smidig igångsättning med minimal inlärningskurva, så att du snabbt kan börja generera leads utan krångel.","ACCURATE_DATA_TITLE":"Korrekt och tillförlitlig data","ACCURATE_DATA_DESC":"Vi prioriterar datakvalitet och ser till att du får uppdaterad och korrekt kontaktinformation. Det ger effektivare outreach-kampanjer och bättre konverteringsgrad. Säg hej då till inkonsekvenser och inaktuell data som ofta upplevs på andra plattformar.","AFFORDABLE_PRICING_TITLE":"Prisvärd prissättning","AFFORDABLE_PRICING_DESC":"Datablist erbjuder konkurrenskraftig och transparent prissättning som passar företag i alla storlekar. Vår kostnadseffektiva modell säkerställer att du får maximalt värde utan oväntade kostnader. Till skillnad från andra verktyg behöver du inte oroa dig för att kostnaderna snabbt skenar.","RESPONSIVE_SUPPORT_TITLE":"Snabb kundsupport","RESPONSIVE_SUPPORT_DESC":"Vårt dedikerade supportteam är alltid redo att hjälpa dig snabbt, så att eventuella problem löses skyndsamt och effektivt. Vi är stolta över våra snabba svarstider och vårt expertstöd, så att du kan fokusera på det som är viktigast - att växa ditt företag.","SUPERIOR_CONCLUSION":"Välj Datablist för en smidig, pålitlig och prisvärd upplevelse av leadgenerering.","SEE_ALSO":"Se även","ENRICHMENTS":"Berikningar","ENRICHMENTS_DESC":"Upptäck våra tjänster för databerikning för att förbättra din leaddata med företagsinformation, kontaktuppgifter och mer.","DATA_SOURCES":"Datakällor","DATA_SOURCES_DESC":"Utforska alla tillgängliga datakällor för att importera och scrapa data från olika plattformar och webbplatser.","API_DOCS":"API-dokumentation","API_DOCS_DESC":"Lär dig hur du integrerar Datablist med dina befintliga workflows med hjälp av vårt omfattande REST API.","LEAD_BUILDING":"Bygga leadlistor","LEAD_BUILDING_DESC":"Behärska konsten att bygga högkvalitativa leadlistor med vår omfattande guide och våra verktyg."},"AIPrompts":{"metadata":{"title":"AI Prompts","description":"Använd våra AI prompts för att förbättra leadgenerering, berikning och datastädning. Dessa prompts hjälper dig att hitta högkvalitativa leads och hålla din data korrekt. Använd AI för att identifiera potentiella kunder och uppdatera lead-information. Perfekt för företag som vill skala med AI-drivna verktyg som optimerar leadhantering."},"breadcrumb":{"home":"Hem","aiPrompts":"AI Prompts"},"header":{"category":"AI-verktyg för affärstillväxt","title":"De bästa AI prompts för leadgenerering, berikning & datastädning","description":"Automatisera lead-sökning, berikning och datastädning. Dessa AI prompts skalar dina GTM-workflows."},"enrichment":{"title":"AI Agent Prompts (Berikning)","description":"Använd dessa prompts för att berika dina befintliga poster. Kör AI prompts på dina nuvarande poster för att hitta saknade detaljer, göra research eller analysera information för varje rad."},"dataSource":{"title":"Source AI Agent Prompts (Datakälla)","description":"Dessa prompts skapar nya poster. Använd dem för att skrapa webbplatser på strukturerad information, hitta kontakter som matchar specifika kriterier eller bygga riktade listor från grunden med AI. Börja med en URL, en instruktion eller input från en annan collection för att generera ny data."},"cta":"Visa prompt","detail":{"metadataTitle":"ChatGPT-prompt för: {title}","metadataNotFound":"AI Prompt kunde inte hittas","pageTitle":"ChatGPT-prompt för: {title}","pageTitleDataSource":"AI Agent-prompt: {title}","breadcrumbHome":"Hem","breadcrumbEnrichments":"Enrichments Store","breadcrumbAIPrompts":"AI Prompts","copiedText":"Prompt kopierad","copyText":"Kopiera prompt till urklipp","relatedPrompts":"Relaterade prompts"},"enrichmentContent":{"howToTitle":"Hur använder jag den här prompten på en CSV-fil?","howToIntro":"**Datablist låter dig ta en hel CSV-fil och köra prompts direkt på varje rad.**","howToTemplates":"Den goda nyheten är att prompten du behöver redan finns i Datablist under avsnittet \"Templates\". Du behöver inte börja från scratch! Välj helt enkelt mallen som passar din uppgift, så är den redo att köras på varje rad i din CSV. Det gör det ännu enklare att transformera din data med bara några klick.","openDatablist":"Öppna Datablist","noSignup":"Ingen registrering krävs","step1":"Importera din CSV-fil i Datablist. Välj sedan \"Enrich\" i toppmenyn.","step2":"Välj mallen: **{title}**","step2Image":"Välj mall","step3":"Ersätt variablerna i prompten med egenskaper från din collection med hjälp av `/` eller '{{'.","step3Image":"Definiera variabler med din collections egenskaper","step4":"Om du inte har alla variabler, redigera bara prompten.","step5":"**Klart!** Du kan nu köra prompten på varje rad i din CSV-fil och få resultatet i en ny kolumn. \u000f🚀","costTitle":"Vad kostar det?","costIntro":"Du har två alternativ. Båda är väldigt enkla.","option1Title":"Alternativ 1 – Använd din egen OpenAI API-nyckel.","option1Desc1":"Helt gratis från vår sida. Koppla bara in din nyckel så skickar Datablist förfrågningar via ditt konto. Du betalar OpenAI direkt enligt deras användningspriser. Ingen mellanhand. Inga extra avgifter.","option1Desc2":"Med din API-nyckel kan du för 1\u0000a0000 poster betala OpenAI omkring **$2**.","option1Desc3":"Detta är perfekt om du redan har en OpenAI-nyckel eller vill ha full kostnadskontroll.\n**Bonus:** inga rate limits från oss!","option2Title":"Alternativ 2 – Använd Datablist Credits.","option2Desc1":"Ingen API-nyckel? Inga problem. Du kan använda Datablists inbyggda ChatGPT-konto. Vi hanterar API-delen åt dig. Du betalar bara med Datablist Credits.","option2List1":"API-nyckelkonfiguration – överhoppas","option2List2":"ChatGPT rate limits – undviks","option2List3":"Kontobegränsningar – inte ditt problem","option2Desc2":"Det fungerar bara.","tldr":"TL;DR","tldrKey":"**Använd din nyckel** = billigare","tldrCredits":"**Använd Datablist Credits** = enklare","tldrEnd":"Oavsett vilket har du kontrollen.","aiAgentTitle":"Kommentar om AI Agent-prompts","aiAgentDesc1":"Den här prompten är gjord för Datablist [AI Agent](/enrichments/ai-agent) berikning. **En AI Agent är ett smart verktyg som använder artificiell intelligens (AI) för att utföra uppgifter åt dig. Den kan surfa på webbplatser, använda Google för att hitta information och interagera med olika onlinetjänster.** Det betyder att den kan hjälpa dig med realtidsdata och uppdaterade svar.","aiAgentDesc2":"ChatGPT API kan å andra sidan bara analysera inmatad text och svara baserat på sin befintliga kunskap. Den kan inte komma åt internet eller samla ny information på egen hand.","aiAgentDesc3":"En AI Agent ger en mer dynamisk upplevelse genom att hämta realtidsdata, medan ChatGPT API förlitar sig på förhandskunskap för att svara på frågor.","aiAgentDesc4":"**När du interagerar direkt på [https://chatgpt.com/](https://chatgpt.com/) interagerar du med en Agent. Ibland går den online för att ge extra information till din prompt (men inte ofta). Andra verktyg som är anslutna till ChatGPT använder dock API:et. Så kom ihåg att den här prompten inte kan användas i ett annat verktyg som anropar ChatGPT API.**","aiAgentDesc5":"Datablist [AI Agent](/enrichments/ai-agent) kör en agent på varje rad i din CSV."},"aiScraperContent":{"howToTitle":"Så här använder du den här AI-prompten","step1Title":"**Create a New Collection**: Börja med att skapa en ny, tom collection i Datablist där datan ska lagras. Klicka på '+ Create new collection' i sidomenyn.","step1ImageAlt":"AI web scraping > vanlig web scraping","step2Title":"**Select the AI Agent Source**: Klicka på \"See all sources\" eller gå till \"Import\" -> \"Import From Data Sources\". Välj \"AI Agent - Site Scraper\".","step2ImageAlt":"Välj AI Agent - Site Scraper","step3Title":"**Konfigurera källan**:","step3Item1":"**Select Template**: Leta upp och välj prompten i \"Template\"-rullgardinsmenyn. Prompten ovan laddas automatiskt.","step3Item2":"**URL to Scrape**: Ange din URL att skrapa","step3Item3":"**Enable Pagination (Optional)**: Om resultaten finns på flera sidor, markera ***Enable Pagination*** och sätt en rimlig gräns för ***Max Pages*** (t.ex. 10).","step3Item4":"**Customize (Optional)**: Du kan justera AI-modellen (t.ex. GPT-4o mini är ofta kostnadseffektiv), redigera prompten för specifika behov eller ändra förväntade ***Outputs***.","step3ImageAlt":"AI web scraping > vanlig web scraping","step4Title":"**Granska Outputs**: Klicka på ***Continue***. Datablist visar de output-fält som definieras i prompten (Project Name, Client Company Name). Klicka på ***+***-ikonen bredvid varje fält för att skapa motsvarande egenskaper (kolumner) i din collection.","step4ImageAlt":"Outputs","step5Title":"**Run Import**: Klicka på ***Run import now***. AI Agent börjar skrapa webbplatsen baserat på prompten och fyller din collection.","pricingTitle":"Prissättning","pricingDesc":"Den här datakällan använder Datablist Credits baserat på användning. Kostnaden beror på webbplatsens komplexitet och antalet besökta sidor.","pricingTest":"Testa att köra AI Agent på en enda sida först för att uppskatta kostnaden.","faqTitle":"FAQ","faq1Question":"Hur startar jag en ny körning med samma konfiguration?","faq1Answer":"När du har kört din AI Agent klickar du på den rosa knappen längst upp till höger i din datatabell för att öppna den igen med senast använda inställningar.","faq1ImageAlt":"Använd dina befintliga agentinställningar","faq2Question":"Vad händer om AI Agent försöker komma åt en skyddad webbplats eller blir blockerad?","faq2Answer":"AI Agent använder automatiskt proxyservrar vid behov för att komma åt webbplatser som kan ha skydd mot scraping eller geografiska begränsningar. Det ökar chansen för lyckad datautvinning, men mycket hårt skyddade sajter kan fortfarande vara en utmaning.","faq3Question":"Hur mycket data kan jag bearbeta med AI Agent?","faq3Answer":"När du kör AI Agent (antingen som berikning eller som en datakälla) kan Datablist-collections hantera upp till 100\u0000a0000 poster (rader). För större dataset kan du behöva dela upp datan i flera collections.","faq4Question":"Hur skiljer sig AI Agent från ChatGPT/Claude/Gemini-berikningarna?","faq4Answer":"Standard-AI-berikningar (ChatGPT, Claude, Gemini) bearbetar data som redan finns i din collection med AI:ns befintliga kunskap. AI Agent kan aktivt interagera med det levande webben—göra Google-sökningar, surfa på webbplatser och extrahera ny information baserat på din prompt.","faq5Question":"Hur exakta är resultaten?","faq5Answer":"Noggrannheten beror i hög grad på hur tydlig och specifik din prompt är, samt på uppgiftens komplexitet och tillgänglig information online. Tydliga instruktioner, exempel och regler för felhantering förbättrar resultaten. Datablist tillhandahåller ofta en konfidenspoäng för AI Agent-utdata för att hjälpa dig bedöma tillförlitligheten."},"aiOnColContent":{"step1Title":"**Create a New Collection**: Börja med att skapa en ny, tom collection i Datablist där datan ska lagras. Klicka på '+ Create new collection' i sidomenyn.","step1ImageAlt":"Ny Collection","step2Title":"**Konfigurera källan**:","step2Item1":"**Select Template**: Leta upp och välj prompten i \"Template\"-rullgardinsmenyn. Prompten ovan laddas automatiskt.","step2Item2":"**For every item in**: Ange en collection med poster. AI Agent körs för varje post.","step2Item3":"**Prompt**: Redigera prompten med variabler från din collection. Använd \"/\" för att välja en egenskap.","step2Item4":"**Customize (Optional)**: Du kan justera AI-modellen (t.ex. GPT-4o mini är ofta kostnadseffektiv), redigera prompten för specifika behov eller ändra förväntade ***Outputs***.","step2ImageAlt":"Exempel på prompt"}},"About":{"metadata":{"title":"Om oss","description":"Vårt uppdrag är att hjälpa dig att förvandla din verksamhet till ett digitalt företag."},"jsonLd":{"description":"Vårt uppdrag är att hjälpa dig att förvandla din verksamhet till ett digitalt företag."},"vision":{"heading":"Väx din verksamhet med data","paragraph1":"Med samarbete landade vi en människa på månen och vår medellivslängd har fördubblats sedan 1900.","paragraph2":"Teknik är en katalysator och en multiplikator för vad samarbete kan åstadkomma. Före den industriella revolutionen 1750 fördubblades den genomsnittliga individuella inkomsten vart 6 000:e år; sedan dess har den fördubblats vart 50:e år.","paragraph3":"I en organisation hjälper Teknik människor att producera mer och automatiserar repetitiva uppgifter så att organisationens produktivitet ökar.","paragraph4":"Vi tror att denna produktivitetsökning är nyckeln till att förbättra levnadsstandarden i världen. Priset på varor sjunker och produktivitetsvinster gör att människor kan lägga mer tid på aktiviteter utanför arbetet.","paragraph5":"När vi producerar mer med mindre arbete får vi mer tid att tillbringa med våra nära och kära!"},"approach":{"heading":"Vårt arbetssätt","paragraph1":"Innan Datablist arbetade jag åtta år som medgrundare och CTO på ett SaaS-företag med 80 % ingenjörer.","paragraph2":"Vi optimerade och automatiserade vår produktutveckling. Vi byggde test- och deployment-pipelines så att varje kodändring ledde till en stabil ny version för våra kunder.","paragraph3":"Ändå förlitade sig vår verksamhet, precis som många andras och kanske din, på kalkylblad. Från onboarding av medarbetare till mailinglistor, eller för <ProspectBuildingLink>att bygga prospekteringslistor</ProspectBuildingLink>, finns det inga alternativ till lättanvända kalkylbladsverktyg.","paragraph4":"När dina interna processer ligger i kalkylblad är du halvvägs i din digitalisering. Men den andra halvan av digitaliseringen är svår. Att implementera automation med kalkylblad eller koppla ihop kalkylblad leder oftare till tårar än glädje. Vi har alla dåliga erfarenheter av flera versioner, dubbletter eller ogiltig data.","paragraph5":"Det är därför vi bygger Datablist. Datablist tillför datastrukturer samtidigt som det är flexibelt, så att du kan skapa dina unika processer.","paragraph6":"Vårt uppdrag är att hjälpa dig att förvandla din verksamhet till ett digitalt företag. Föreställ dig ett digitalt operativsystem med interna verktyg drivna av data. Skalbart, flexibelt och utbyggbart så att ditt digitala operativsystem växer med din verksamhet."},"learnMore":{"heading":"Våra tankar"},"team":{"heading":"Team","members":{"florian":{"name":"Florian Poullin","title":"Grundare","description":"Tidigare: Medgrundare och CTO på IZBERG-Marketplace (förvärvat i januari 2019 av Open Group, ett franskt börsnoterat företag)"},"habib":{"name":"Habib Benabdeslam","title":"GTM & Growth Expert","description":"Habib kombinerar sin passion för människor, teknik och tävling för att leda tillväxten på Datablist."}},"tooltips":{"followLinkedIn":"Följ {name} på LinkedIn","followTwitter":"Följ {name} på Twitter","bookCall":"Boka ett samtal med {name}"},"altText":"{name} - Datablist"}},"Contact":{"metadata":{"title":"Kontakt ","description":"Kontakta Datablist för support, frågor om försäljning eller för att boka en demo."},"header":{"category":"Kontakt","title":"Skicka ett meddelande till oss","description":"Begär support, chatta med vårt team eller få prisuppgifter."},"support":{"title":"Teknisk support","description":"För teknisk support kan du kontakta oss via email. Dela gärna skärmdumpar och så mycket kontext som möjligt.","showEmailButton":"Visa supportens emailadress","generatingButton":"Genererar email-knapp...","emailButton":"Klicka här för att skicka ett email"},"sales":{"title":"Försäljning & Marknadsföring","description":"För att skicka ett meddelande till vårt säljteam, fyll i detta formulär.","button":"Säljfråga"},"demo":{"title":"Få en demo","description":"Lär dig mer om våra produkter via en skräddarsydd live-demo med vårt säljteam.","button":"Boka demo-samtal"},"salesPage":{"metadata":{"title":"Kontakt ","description":"Kontakta Datablist för support, säljfrågor eller för att boka en demo."},"breadcrumb":{"contact":"Kontakta oss","current":"Sälj & Marknadsföring"},"header":{"category":"Kontakt","title":"Kontakta vårt sälj- och marknadsteam","description":"Fyll i formuläret nedan för affärsförfrågningar."}}},"Pricing":{"metadata":{"title":"Priser","description":"Välj den perfekta planen för dina databehov. Flexibla priser för individer och team."},"header":{"title":"Priser","subtitle":"Starta gratis (<link>du kan börja utan att registrera dig</link>). Uppgradera för att låsa upp potentialen i din data."},"switcher":{"monthly":"Månadsvis","yearly":"Årsvis","discount":"-20%"},"plans":{"creditsYear":"{credits} credits per år.","creditsMonth":"{credits} credits per månad.","includedUsers":"{users} {users, plural, =1 {user} other {users}} ingår","extraUsersMonth":"Sedan {price}/användare/månad","extraUsersYear":"Sedan {price}/användare/år","free":{"name":"Gratisplan","price":"0","users":"En användare","extraUsers":"Inga extra användare tillåtna","credits":"500 krediter per år","bulletsText":"Gratisplanen innehåller:","bullets":["Obegränsat antal samlingar","Importera upp till 1 miljon objekt per samling som lagras i din webbläsares lagring","Dubblettsökning","Tillgång till kostnadsfria databerikningar","Importera CSV- och Excel-filer","Exportera till CSV- och Excel-filer"],"restrictions":["Ingen molnsynkronisering","Ingen berikningsautomation","Inga premium-berikningar","Ingen anpassad API-berikning","Inga exportintegrationer"]},"starter":{"name":"Starter","creditsExtra":"Fyll på med fler krediter.","billedYearly":"faktureras årligen","bulletsText":"Allt i Gratisplanen, och dessutom:","bullets":["Importera upp till 2 miljoner objekt per samling som lagras i din webbläsares lagring","Synka samlingar med färre än 100 000 objekt i molnet","Avancerad filtrering med reguljära uttryck och filtergrupper.","Avancerade dedupliceringsalgoritmer och inställningar för automatisk sammanslagning","Deduplicering mellan flera samlingar","Avancerade algoritmer för dataextraktion","Kodbibliotek för JavaScript-körning","AI Agent-berikning","Tillgång till alla premium-berikningar","Prioriterad support"],"restrictions":["Ingen berikningsautomation","Inga exportintegrationer","Ingen anpassad API-berikning","Ingen åtkomst till REST API"]},"growth":{"name":"Growth","creditsExtra":"Fyll på med fler krediter.","billedYearly":"faktureras årligen","mostPopular":"Mest populär","bulletsText":"Allt i Starter-planen, och dessutom:","bullets":["Berikningsautomation","Automatisering av datakällor","Anpassad API-berikning","Datablist REST API","Teknisk onboarding"]},"common":{"perMonth":"per månad","signUp":"Registrera dig","notIncluded":"Ingår inte:"}},"faq":{"title":"Vanliga frågor","subtitle":"Nedan hittar du svar på de frågor vi oftast får om våra abonnemang","questions":{"canIUseFree":{"title":"Kan jag använda Datablist gratis?","message":"Gratisplanen är gratis för alltid. Den är utformad för individer med sporadiska behov. Våra betalplaner erbjuder fler datafunktioner, molnsynk och teamhantering."},"whatIsCollection":{"title":"Vad är en Datablist-samling?","message":"I Datablist struktureras din data med samlingar som innehåller objekt. Alla objekt i en samling delar samma datastruktur. Till exempel kan en samling vara en lista med sales leads, mailing list emails eller rekryteringskandidater. <link>Se dokumentationen för samlingar</link>."},"whereIsDataStored":{"title":"Var lagras min data?","message":"Datablist använder en lokal databas som tillhandahålls av webbläsare för att lagra strukturerad data. En lokal databas är perfekt för snabb åtkomst och en responsiv användarupplevelse. Men den lokala datan är begränsad till din webbläsare och riskerar att gå förlorad. För betalplaner synkas samlingar med upp till 100 000 objekt i molnet."},"canIExport":{"title":"Kan jag exportera min data som lagras i Datablist?","message":"Självklart! Data är din tillgång och exporter är gratis och obegränsade. Du kan exportera datan direkt från dina samlingar i CSV- och/eller Excel-format. För samlingar som inte synkas i molnet rekommenderar vi att du gör regelbundna exporter för att säkerhetskopiera din data ifall din webbläsare raderar den. Observera att Excel har vissa begränsningar för cellstorlek och antal rader. En stor samling kanske inte kan exporteras i Excel-format."},"whatAreCredits":{"title":"Vad används krediterna till?","message":"För vissa berikningar (OpenAI, Google Translate, Deepl, Email Finder, etc.) förlitar sig Datablist på tredjeparts-API:er. De flesta tredjeparts-API:er är betaltjänster. För att hantera detta använder Datablist ett kreditsystem. Alla andra funktioner (deduplicering, redigering, filtrering osv.) är obegränsade. <link>Mer om Datablist-krediter</link>."},"whenCreditsYearly":{"title":"När får jag mina krediter för årsplanen?","message":"På årsplaner får du summan av månadskrediterna vid teckningstillfället. I Starter-planen får du 60 000 krediter på en gång, och i Growth-planen får du 240 000 krediter."},"whatIsEnrichment":{"title":"Vad är en berikning?","message":"<enrichmentsLink>Berikningar</enrichmentsLink> är online-program som utför operationer på alla eller en del av objekten i din samling. Datablists <storeLink>Enrichments Store</storeLink> innehåller berikningar för leadgenerering, textöversättning, web scraping, ChatGPT, etc."},"premiumEnrichmentsList":{"title":"Har ni en lista över premium-berikningar?","message":"Vi lägger till berikningar varje månad. För en uppdaterad lista över våra berikningar, <link>öppna Datablist</link> och klicka på knappen \"Enrich\" i en samlings header. Alla berikningar listas där. En \"Premium\"-etikett syns bredvid premium-berikningar."},"canBrowserDelete":{"title":"Kan min webbläsare radera min lokala data?","message":"Det kan hända om du rensar webbläsarens cache eller när du når din hårddiskgräns. Den lokala databasen som Datablist använder raderas tillsammans med cookies, cachelagrad data och annan webbplatsskapad data när du rensar webbplatsdata i din webbläsare. För att förhindra dataförlust, använd molnsynkronisering (tillgänglig för samlingar med färre än 100 000 objekt i betalplanerna). Ett annat sätt att skydda din data är att regelbundet exportera den till en CSV-fil."},"cloudSyncLimit":{"title":"Vad händer när jag når gränsen för molnsynkning av objekt?","message":"Betalplaner har molnsynkning för samlingar med färre än 100 000 objekt. För större samlingar är molnsynkning ännu inte möjlig och samlingens data lagras endast i din webbläsare."},"browserSupport":{"title":"Fungerar Datablist i alla webbläsare?","message":"Datablist kräver en modern webbläsare. Nya versioner av Chrome, Safari, Firefox och Edge stöds. Internet Explorer stöds inte. Datablist riktar sig för närvarande mot webbläsare på dator. En mobilversion som är kompatibel med mobila webbläsare finns på vår roadmap."},"freeVsPremium":{"title":"Vad är skillnaderna mellan gratis- och premium-berikningar?","message":"Gratisberikningar är tillgängliga för registrerade gratisanvändare medan premium-berikningar är begränsade till kunder. Premium-berikningar förlitar sig vanligtvis på tredjepartstjänster och har månatliga anropsbegränsningar."},"hitEnrichmentLimit":{"title":"Vad händer när jag når gränsen för premium-berikningar?","message":"När dina krediter är slut kan du inte köra premium-berikningar. Du kan fylla på ditt kreditsaldo eller vänta på att dina månadskrediter förnyas."},"paymentOptions":{"title":"Vilka betalningsalternativ har jag?","message":"Alla månadsbetalningar görs via kreditkort eller paypal. Datablist använder Chargebee, Stripe eller Paypal för att behandla och lagra kreditkortsdata."},"canCancel":{"title":"Kan jag när som helst avsluta min plan?","message":"Det finns ingen bindningstid hos Datablist. Gå bara till abonnemangssektionen och klicka på 'Downgrade account'."},"canUpgrade":{"title":"Kan jag uppgradera från Starter till Growth-planen?","message":"Ja. Du kan uppgradera från Starter till Growth-planen. När du går från Starter till Growth sker ändringen omedelbart och du debiteras pro rata för de dagar som återstår innan nästa faktureringscykel. Till exempel, om din faktureringsdag är den 5:e varje månad och du uppgraderar till Growth den 1:a, debiteras du mellanskillnaden för de återstående 5 dagarna."},"canDowngrade":{"title":"Kan jag nedgradera från Growth till Starter-planen?","message":"Ja. Du kan nedgradera från Growth till Starter-planen. När du nedgraderar träder ändringarna i kraft vid slutet av faktureringscykeln. Till exempel, om din faktureringsdag är den 5:e varje månad och du nedgraderar till Starter den 1:a, ligger du kvar på Growth till den 5:e."},"refunds":{"title":"Erbjuder ni återbetalningar?","message":"Vi erbjuder inte återbetalningar, tyvärr. Produkten kan testas med vår gratisversion."}}},"cloudAgency":{"title":"Cloud Agency? Låt oss prata!","description1":"Är du en byrå för leadgenerering? Låt oss ta fram en plan som passar dina behov.","description2":"Vi erbjuder också Professional Services för kundanpassade integrationer eller specifika behov.","description3":"<link>Boka ett samtal med oss.</link>","complexUseCase":{"title":"Har du ett komplext användningsfall?","description1":"För byråer, teknologipartners, professional services-partners eller alla med ett komplext behov: Vänligen <contactLink>kontakta oss</contactLink> eller <bookLink>boka ett samtal med vårt team</bookLink>.","description2":"Kolla också in vårt <helpLink>Hjälpcenter</helpLink> för att lära dig mer om hur Datablist fungerar."}},"v4":{"hero":{"eyebrow":"Priser","title":["Enkla abonnemang. 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Betala endast när ett nummer hittas."},{"label":"LinkedIn Profile Scraper","description":"Hämta upp till 40 datapunkter (roll, företag, erfarenhet och utbildning) från valfri profil-URL på LinkedIn eller Sales Navigator, utan att riskera ditt konto."},{"label":"Företagsberikning","description":"Berika ett företag utifrån dess domän eller LinkedIn-sida med bransch, storlek, plats, grundandeår med mera – upp till 9 datapunkter."},{"label":"Company Domain Finder","description":"Hitta webbplatsen och domänen för ett företagsnamn, med en konfidensbedömning."},{"label":"Scraping av jobbportaler","description":"Scrapa jobbannonser från över 19 jobbportaler, inklusive LinkedIn, Indeed och Glassdoor. Filtrera efter titel, plats, företag med mera."},{"label":"Sales Nav Scraper (ditt konto)","description":"Scrapa leads eller företag från en sökning på LinkedIn eller Sales Navigator med ditt eget LinkedIn-konto. 10 krediter per lead."},{"label":"Sales Nav Scraper (utan konto)","description":"Scrapa leads eller företag från en sökning i Sales Navigator utan att ansluta ditt eget konto. 20 krediter per lead."}]},{"title":"AI och automatisering","rows":[{"label":"ChatGPT-/Claude-integration (din nyckel)","description":"Kör valfri LLM-prompt på dina rader med din egen API-nyckel. 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Berikningar som anropar en betald datakälla (email- och telefonnummersökning, scrapers, LinkedIn, företagsdata och översättningar) förbrukar krediter. Rensning, deduplicering och verktyg som använder din egen API-nyckel gör det inte."},{"question":"Löper mina krediter ut eller förs de över?","answer":"Abonnemangskrediter förnyas vid varje faktureringsperiod och förs inte över. Krediter från påfyllningar löper aldrig ut."},{"question":"Vad är skillnaden mellan ett återkommande tillägg och en engångspåfyllning?","answer":"Ett återkommande tillägg fyller på dina krediter varje månad till ett bättre pris per kredit och passar bäst vid jämn användning. En engångspåfyllning är ett enstaka köp för tillfälliga användningstoppar och löper aldrig ut."},{"question":"Kan jag använda mina egna API-nycklar?","answer":"Ja. LLM-verktyg (ChatGPT, Claude, Gemini med flera) körs kostnadsfritt med din egen nyckel i alla abonnemang. Apollo, PeopleDataLabs, Moz och Bing kan använda din egen nyckel från Starter och uppåt."},{"question":"Tar ni betalt för dataåtgärder?","answer":"Nej. Dataåtgärder som deduplicering och rensning är kostnadsfria. Du betalar datakrediter för berikningar, utan någon separat åtgärdskredit ovanpå."},{"question":"Vilka berikningar debiteras bara när de hittar ett resultat?","answer":"De flesta sökverktyg (email, telefonnummer och privata emails) debiteras endast vid träff, så du betalar aldrig för en miss. Några berikningar debiteras per försök. 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Snabbt!","AUTOMATION_HUB_TITLE":"Automation Hub","AUTOMATION_HUB_DESC":"Skapa nya eller samla dina workflows på ett ställe.","DATA_AGGREGATOR_TITLE":"Data Aggregator","DATA_AGGREGATOR_DESC":"Få ny eller berika befintlig data enkelt.","WATERFALL_EMAIL_TITLE":"Waterfall Email Finder","WATERFALL_EMAIL_DESC":"Nå vem du vill med hjälp av 20+ email finders.","CHATGPT_TITLE":"ChatGPT","CHATGPT_DESC":"Personalisera email, klassificera data och mycket mer.","JOB_BOARDS_TITLE":"Scraper för jobbportaler","JOB_BOARDS_DESC":"Se vem som rekryterar genom att skrapa 19 jobbportaler samtidigt.","WEBSITE_FINDER_TITLE":"Website Finder","WEBSITE_FINDER_DESC":"Hitta webbplatser från företagsnamn med bara några klick.","LINKEDIN_SCRAPER_TITLE":"LinkedIn Profile Scraper","LINKEDIN_SCRAPER_DESC":"Få aktuell information om leads.","DUPLICATES_FINDER_TITLE":"Dubblettsökare","DUPLICATES_FINDER_DESC":"Hitta, ta bort, redigera och märk poster utan dubbletter med hjälp av AI – i ett eller flera dataset.","AI_RESEARCH_AGENT_TITLE":"AI Research Agent","AI_RESEARCH_AGENT_DESC":"Skala research på dina poster, eller sätt upp automatiserade Google-sökningar, med en enkel prompt.","RECURRING_AUTOMATIONS_TITLE":"Återkommande automationer","RECURRING_AUTOMATIONS_DESC":"Undvik repetitiva uppgifter. Sätt ett mål och en tid, så sköter Datablist resten.","AI_EDITOR_TITLE":"AI Editor","AI_EDITOR_DESC":"Redigera, extrahera, konvertera – eller gör vad din kreativitet tillåter.","DATA_CLEANING_TITLE":"Datastädning","DATA_CLEANING_DESC":"Städa data på ett enkelt sätt. Fuzzy matching, bulkredigering och till och med egna AI-regler. Vi har allt.","AI_SCRAPING_TITLE":"AI Scraping","AI_SCRAPING_DESC":"Traditionella scrapers kräver tunga kodningskunskaper. Datablist gör scraping enkelt. För alla.","LEAD_GENERATION_TITLE":"Lead Generation","LEAD_GENERATION_DESC":"Hitta, berika och personalisera meddelanden för att skapa nya möjligheter i stor skala.","INVENTORY_TITLE":"Lagerhantering","INVENTORY_DESC":"Behåll en ren, uppdaterad överblick genom att centralisera försäljning, lager, automatiska återbeställningar och mer.","VC_TITLE":"Riskkapital & Private Equity","VC_DESC":"Centralisera data och få fler insikter för bättre beslut.","RECRUITING_TITLE":"Rekryteringsbyråer","RECRUITING_DESC":"Följ lediga tjänster och ta kontakt när du behövs som mest.","RETAIL_TITLE":"Detaljhandel & E‑handel","RETAIL_DESC":"Hantera leverantörer och synka lager, beställningar och mer.","SAAS_TITLE":"SaaS- och AI-startups","SAAS_DESC":"Väx snabbt men lönsamt – med automation.","SALES_TITLE":"Försäljning","OPERATIONS_TITLE":"Operativt","MARKETING_TITLE":"Marknadsföring","PROCUREMENT_TITLE":"Inköp","GUIDES_TITLE":"Guider","GUIDES_DESC":"Läs våra bästa guider om scraping, datastädning och leadshantering.","DATA_SOURCES_TITLE":"Data- och leadkällor","DATA_SOURCES_DESC":"Boosta din pipeline med våra kraftfulla inbyggda leadkällor!","AI_PROMPTS_TITLE":"AI Prompts","AI_PROMPTS_DESC":"Det mest kompletta AI prompt-biblioteket för alla use case","ENRICHMENTS_TITLE":"Berikningar","ENRICHMENTS_DESC":"Skapa kraftfulla workflows med våra lättanvända berikningar","HELP_CENTER_TITLE":"Hjälpcenter","HELP_CENTER_DESC":"Lär dig hur du använder Datablists funktioner","CONTACT_TITLE":"Kontakta oss","CONTACT_DESC":"Skicka ett meddelande.","BLOG_TITLE":"Blogg & Release Notes","BLOG_DESC":"Nyheter och insikter om Datablist och marknaden","AFFILIATION_TITLE":"Affiliateprogram","AFFILIATION_DESC":"Tjäna 25 % återkommande provision.","TOP_GUIDES_TITLE":"Våra mest användbara guider","PROMPT_GUIDE_TITLE":"Så skriver du en prompt som alltid fungerar (fullständig guide)","DEDUPE_GUIDE_TITLE":"Så tar du bort dubbletter i flera Excel-filer","AI_AGENTS_GUIDE_TITLE":"AI Agents vs. AI Assistants: Vad är skillnaden?","MORE_RESOURCES_TITLE":"Fler hjälpsamma resurser","COMPANY_TITLE":"Företag","BY_USE_CASE_TITLE":"Efter use case","BY_INDUSTRIES_TITLE":"Efter bransch","BY_ROLES_TITLE":"Efter roll","INTEGRATIONS_TITLE":"Integrationer","FEATURES_TITLE":"Funktioner","COMBINE_CSV_TITLE":"Kombinera CSV-filer","COMBINE_CSV_DESC":"Kombinera flera CSV-filer till en enda lista","PRICING_TITLE":"Priser","PRICING_DESC":"Transparenta priser för alla behov."},"Authors":{"HABIB_DESCRIPTION":"

Jag är en nyfiken entreprenör.

Jag gillar människor, tech och konkurrens; ibland lite för mycket för mitt eget bästa.

Eftersom jag inte kom iväg till New York hittar du mig varje fredag eftermiddag i samtal med främlingar någonstans i Frankfurt.

Jobbar just nu med allt som rör growth @Datablist

","FLORIAN_DESCRIPTION":"

Grundare och VD för Datablist.

I grunden ingenjör. Jag gillar att bygga, lösa problem och lära mig varje dag.

Bosatt i Frankrike.

"},"Automations":{"TITLE":"Få mer gjort på kortare tid med automatiseringar","FREQUENCIES_TITLE":"Ställ in anpassade frekvenser för återkommande projekt","FREQUENCIES_DESC":"Schemalägg importer, berikningar och mer med specifika tidsbaserade triggers för att undvika repetitiva uppgifter.","CONNECT_TITLE":"Anslut till Zapier, Make och n8n","CONNECT_DESC":"Integrera med Zapier, Make och n8n för att superladda dina workflows med tusentals andra appar.","STATUS_TITLE":"Statuskolumn","STATUS_DESC":"Gå tillbaka i historiken, upptäck misstag snabbt, iterera på prompts och konfigurera om berikningar vid behov.","CONDITIONAL_TITLE":"Villkorsstyrda automatiseringar","CONDITIONAL_DESC":"Skapa smarta workflow-automatiseringar med if/and/or-filter för att trigga specifika åtgärder baserat på dataförändringar, statusuppdateringar eller anpassade regler."},"common":{"OPEN_DATABLIST_NOW":"Öppna Datablist nu!","OPEN_DATABLIST":"Öppna Datablist","TRY_DATABLIST":"Prova Datablist","BOOK_DEMO":"Boka en demo","NOSIGNUP":"Ingen registrering krävs","RELATED_GUIDES":"Relaterade guider","FAQ":"Vanliga frågor","DEV_DOC":"Utvecklardokumentation","HOVER_VIDEO_PLAY":"För muspekaren över videon för att spela upp","CLICK_VIDEO_PLAY":"Klicka på videon för att spela upp"},"ContentCommon":{"RELATED_HOW_TOS":"Relaterade guider"},"DedupeClean":{"TITLE":"Deduplicering, datarensning och hantering","DEDUPLICATION_TEXT":"Jämför data inom en eller mellan flera filer för att hitta dubbletter baserat på en kolumn eller flera kolumner, med AI och algoritmer som fångar även små variationer.","DEDUPLICATION_SUBTITLE":"Med vårt verktyg för att hitta dubbletter kan du:","CONSOLIDATE_INFO":"Konsolidera information","MERGE_DUPLICATES":"Slå ihop dubbletter","DEDUPE_DATASETS":"Deduplicera över flera dataset","EDIT_GROUPS":"Redigera dubblettgrupper, lägg till taggar och mer","DATA_CLEANING_TEXT":"Extrahera, konvertera och rensa data med bara några klick. Inga begränsningar och definitivt inga fler formler.","DATA_CLEANING_SUBTITLE":"Här är några exempel på vad du kan göra:","NORMALIZE_DATA":"Normalisera datastrukturer","CONVERT_FORMATS":"Konvertera data till 9 olika format","FIND_REPLACE":"Sök och ersätt värden","EXTRACT_DATA":"Extrahera data utan formler","AI_TEXT":"Generera ny data, redigera befintlig information och bygg system från grunden med enkla prompts.","AI_SUBTITLE":"Din AI-assistent kan till exempel:","GENERATE_IDS":"Generera unika ID:n för varje rad","BUILD_SCORING":"Bygg scoringsystem","EDIT_SCALE":"Redigera data i stor skala","STANDARDIZE_UNITS":"Standardisera enheter & mer","MANAGEMENT_TEXT":"Håll ordning med avancerade filter, mappar och sökfält för att hitta exakt det du söker på nolltid.","MANAGEMENT_SUBTITLE":"Med dessa och många fler funktioner förenklar du arbetet och sparar tid:","SEND_DATA":"Skicka data mellan ark","SEARCH_BARS":"Sökfält i ark & arbetsytor","TIMESTAMP_COLUMNS":"Tidsstämpelkolumner & filter","VERSION_HISTORY":"7-dagars versionshistorik","TAB_DEDUPLICATION":"Deduplicering","TAB_DATA_CLEANING":"Datarensning","TAB_AI_ASSISTANT":"AI-assistent","TAB_MANAGEMENT":"Hantering"},"HomePage":{"HERO_LABEL":"AI-drivet kalkylblad","HERO_TITLE":"Arbeta med din data på det enkla sättet","HERO_SUBTITLE_1":"Rensa, berika, automatisera och hantera alla dina listor och workflows på ett ställe.","HERO_SUBTITLE_2":"Datablist är ett AI-Spreadsheet som låter dig kombinera kraften och hastigheten i AI och automation med tryggheten i mänsklig vägledning."},"Integrations":{"TITLE":"Ja, vi integrerar med dina favoritverktyg","SUBTITLE":"Datablist ger dig obegränsade möjligheter till anpassning genom att koppla ihop din nuvarande tech stack med våra native-integrationer eller bygga egna med vårt öppna API.","LINK_TEXT":"Se alla våra databerikningar"},"Learn":{"TITLE":"Arbeta smartare, väx snabbare med innehåll som ger insikter och får dig att agera","ICP_TITLE":"Fakta som ingen berättar om att hitta din ICP","ICP_DESC":"Att hitta din ICP gör allt enklare. Men när det gäller definitioner får du nästan alltid bara halva bilden.","CSV_DUPLICATES_TITLE":"Så tar du bort och slår ihop dubbletter i CSV – gratis","CSV_DUPLICATES_DESC":"Deduplicering behöver inte vara svårt, men lösningarna är det ofta. Läs den här artikeln för att lära dig hur du deduplicerar enkelt och gratis.","CHATGPT_TITLE":"Så kör du ChatGPT på Excel/CSV-rader (gratis verktyg)","CHATGPT_DESC":"Kör ChatGPT på Excel- eller CSV-filer. Lär dig hur du kan slippa dyra abonnemang med Datablists gratisplan (ingen kod krävs).","AI_PROMPTS_TITLE":"AI Prompts","AI_PROMPTS_DESC":"Dra nytta av det mest kompletta biblioteket med verkligt användbara prompts.","GLOSSARY_TITLE":"Ordlista","GLOSSARY_DESC":"Förstå alla definitioner och förkortningar kring automation, GTM och AI.","DOCS_TITLE":"Docs","DOCS_DESC":"Lär dig hur du utnyttjar varje funktion med detaljerade instruktioner och exempel."},"HomeUseCases":{"SUBTITLE":"Vad är syftet med ditt kalkylblad?","CENTRALIZING_DATA_TITLE":"Centralisering av data","CENTRALIZING_DATA_DESC":"AirTable, Google Sheets, Clay m.fl. är inte dåliga, men de separerar lagringen av data från själva arbetet. Datablist håller allt på ett ställe. Hoppa över importer, exporter, API:er och annan komplexitet. Arbeta, lagra och väx i en enda integrerad miljö.","LEAD_SCORING_TITLE":"Lead Scoring","LEAD_SCORING_DESC":"Med Datablist kan du använda AI för att skapa system som utvärderar dina leads utifrån specifika kriterier, så att du kan fokusera på högkonverterande möjligheter och få fler och bättre kunder snabbare.","AI_SCRAPING_TITLE":"AI Scraping","AI_SCRAPING_DESC":"Traditionella scrapers kan bara skrapa data i ett visst format, vilket ofta lämnar tomma poster eller felaktig data. Med Datablist kan du helt enkelt säga till AI vad som ska skrapas och den gör allt åt dig utan att du behöver lära dig koda, sätta upp API:er eller något annat komplext – säg bara vad du vill ha, var det finns, så är det klart (den hanterar även paginering).","INVENTORY_MANAGEMENT_TITLE":"Lagerhantering","INVENTORY_MANAGEMENT_DESC":"Koppla din leverantörskatalog till ditt butikssystem, redigera data, skapa dynamisk prissättning, automatisera lagernivåer och effektivisera hela din leveranskedja. Datablist hjälper dig att hålla optimal lagerstatus utan huvudvärken från traditionella hanteringssystem.","FINDING_LEADS_TITLE":"Hitta leads","FINDING_LEADS_DESC":"Oavsett om du kör cold emailing eller cold calling låter Datablist dig använda LinkedIn, Wappalyzer, Google Maps, Instagram m.m. för att skapa listor, samtidigt som du filtrerar på företagsstorlek, bransch, region m.m. för att hitta de bästa prospekten – allt i ett och samma verktyg.","SCRAPING_ECOM_TITLE":"Scraping av e‑handelsbutiker","SCRAPING_ECOM_DESC":"Hämta vilken produkt som helst och dess information från vilken butik som helst utan att koda. Oavsett om det är en liten butik byggd på Shopify eller en Amazon‑säljare låter Datablist dig skrapa tusentals produkter på några minuter genom att bara ange en kategorisida eller en sök‑URL.","DEDUPLICATION_TITLE":"Deduplicering","DEDUPLICATION_DESC":"Hitta och märk, slå ihop eller bli av med dubbletter på några minuter med fördefinierade eller egna regler, så att du får jobbet gjort utan att hoppa fram och tillbaka i timmar mellan ChatGPT och Excel. Datablists svit för deduplicering och matchning är så träffsäker att den fångar även dubbletter med små variationer.","AUTOMATING_SEARCHES_TITLE":"Automatisera Google‑sökningar","AUTOMATING_SEARCHES_DESC":"Ställ in en återkommande sökning som körs varje timme, dagligen, veckovis eller på valfritt intervall. Datablists söksystem använder AI som låter dig gå längre än en enkel sökning – skriv en fullständig prompt med utdataformat att följa, filtrera fram endast relevant information, så att du inte bara kan automatisera utan också spara tid genom att få just det svar du behöver.","CRM_ENRICHMENT_TITLE":"CRM‑berikning","CRM_ENRICHMENT_DESC":"Ta in dina CRM‑data till Datablist, berika dem med relevant och uppdaterad kontaktinformation, kontodata eller unika datapunkter som inga andra databaser har, med hjälp av vår AI research agent eller någon av våra 50+ berikningar, och skicka tillbaka allt utan krånglet med att exportera och importera filer.","PERSONALIZING_OUTREACH_TITLE":"Personalisera outreach","PERSONALIZING_OUTREACH_DESC":"Få allt du behöver för att sätta upp högpersonaliserade kampanjer, signalbaserade, evergreen‑kampanjer och mer – på ett och samma ställe. Från kontodata, verifierad kontaktinformation och AI‑automationer till kunskap – Datablist stödjer dig med allt du behöver för att generera leads.","SOMETHING_ELSE_TITLE":"Något annat","SOMETHING_ELSE_DESC1":"Ofta är våra användare mer kreativa än vi när det gäller att automatisera arbetsflöden.","SOMETHING_ELSE_DESC2":"Så vad tänker du automatisera?"},"Testimonials":{"TITLE":"Vad våra användare säger","SUBTITLE":"18 000+ personer kan inte ha fel. Här är vad de säger"},"HowTo":{"PAGE_TITLE":"Handledningar om datarensning, databerikning och leadgenerering","PAGE_DESC":"Lär dig att automatisera dina data-workflows med våra omfattande handledningar och guider.","TITLE":"Guider & Handledningar","SUBTITLE":"Lär dig hur du kan växa ditt företag med våra guider.","FILTER_BY_CATEGORIES":"Filtrera efter kategorier","ALL_CATEGORIES":"Alla kategorier","RELATED_GUIDES":"Relaterade guider","TABLE_OF_CONTENT":"Innehållsförteckning","GUIDES_COUNT":"Guider","LANDING_POPULAR":"Populära","LANDING_LATEST_ARTICLES":"Senaste artiklar","CATEGORY_MORE_ARTICLES":"Fler artiklar om \"{categoryName}\"","LANDING_SEE_ALL":"Se alla","LANDING_SEE_ALL_ARTICLES_TITLE":"Se alla how-to-artiklar","LANDING_SEE_ALL_ARTICLES_DESCRIPTION":"Bläddra i hela arkivet för att hitta varje guide, tutorial och workflow på ett ställe.","LANDING_BROWSE_ALL_GUIDES":"Bläddra bland alla how-to-guider","CATEGORY_BROWSE_ALL_GUIDES":"Bläddra bland alla guider om {categoryName}","TUTORIALS_BREADCRUMB":"Handledningar","GUIDES_BREADCRUMB":"Guider","HOME_BREADCRUMB":"Hem","MIN_READ":"{minutes} min läsning","AUTHORS_CATEGORY":"Författare","AUTHOR_GUIDES_DESCRIPTION":"Bläddra bland alla guider och handledningar skrivna av {authorName}.","CATEGORY_TITLES":{"DATA_CLEANING":"Datarensning","CRM_HYGIENE":"CRM-hygien","AI_AUTOMATION":"AI & Automatisering","NO_CODE_SCRAPING":"No-code Scraping","DATA_ENRICHMENT":"Databerikning","SALES_MARKETING":"Sälj & Marknadsföring","API":"API"},"CATEGORY_DESCRIPTIONS":{"API":"Build with Datablist APIs using step-by-step guides and complete code examples. Find company websites, clean company names, and look up LinkedIn profiles, then use the results in your applications and automations.","DATA_CLEANING":"Har du undrat varför dina marknadsföringskampanjer missar målet? Eller varför säljteamet har svårt att hitta rätt kontakter? Ofta beror det på rörig data. Dålig data kostar företag dyrt, leder till slöseri och missade affärer. Våra guider visar hur du tar kontroll. Vi går igenom enkla steg för att städa dina listor, ta bort dubbletter och rätta fel. Med vår hjälp förvandlar du din data från kaos till en värdefull tillgång. Våra artiklar spänner från snabba åtgärder till avancerade strategier, så att du kan höja datakvaliteten utan att vara teknisk expert. Gör dig redo att städa din data, effektivisera dina processer och skapa bättre affärsresultat.","CRM_HYGIENE":"Ditt CRM är hjärtat i sälj- och marknadsarbetet. Men om det är fullt av inaktuell, dubbel eller ofullständig data bromsar det dig. Våra artiklar om CRM-hygien ger dig verktyg och tips för att hålla din databas i toppskick. Du lär dig sätta upp enkla processer för dataregistrering, hålla kontaktuppgifter korrekta och säkerställa att varje post är värdefull. Vi visar hur du undviker vanliga fallgropar som skapar röriga CRM:er, så att teamet lättare hittar rätt och stänger affärer snabbare. Ett rent CRM betyder ett friskare företag – våra guider hjälper dig dit.","AI_AUTOMATION":"Redo att jobba smartare, inte hårdare? AI och automatisering förändrar spelplanen för företag överallt. Våra artiklar visar hur du använder dessa kraftfulla verktyg för att automatisera repetitiva uppgifter, analysera data på nya sätt och fatta bättre beslut. Du lär dig integrera AI i dina dagliga workflows, från att använda chatbots för kundfrågor till att automatisera dataklassificering. Vi bryter ned komplexa begrepp till enkla, praktiska steg. Oavsett om du är småföretagare eller ingår i ett större team hjälper våra guider dig att dra nytta av AI för att öka produktiviteten och låsa upp nya tillväxtmöjligheter. Det är dags att låta tekniken arbeta för dig.","NO_CODE_SCRAPING":"Web scraping brukade vara ett jobb för utvecklare. Inte längre. Med våra no-code scraping-guider kan du samla in den data du behöver från vilken webbplats som helst – utan tekniska kunskaper. Vi går igenom enkla, kraftfulla verktyg som låter dig extrahera allt från kontaktuppgifter till produktdetaljer. Våra artiklar täcker grunderna i scraping och visar hur du hanterar komplexa sajter utan att skriva en enda rad kod. Du lär dig bygga riktade leadlistor, bevaka konkurrentpriser och samla marknadsinsikter på nolltid. Säg hej då till manuell datainsamling och hej till snabb, effektiv och enkel scraping.","DATA_ENRICHMENT":"Din data är värdefull, men saknar troligen viktiga detaljer. Databerikning handlar om att fylla i luckorna. Våra artiklar visar hur du kan ta en enkel uppgift, som en emailadress, och göra den till en komplett profil. Du lär dig hitta företagsnamn, befattningar, profiler i sociala medier och mer. Processen hjälper dig att personalisera din outreach, förbättra din targeting och skapa en mer komplett bild av dina kunder. Våra guider täcker de bästa verktygen och teknikerna för att berika din data, så att varje post blir mer värdefull och hjälper dig nå rätt personer.","SALES_MARKETING":"Sälj och marknadsföring är två sidor av samma mynt, och när de samspelar växer företaget. Våra artiklar är fulla av strategier och insikter som hjälper era team att samarbeta effektivt. Vi täcker allt från att bygga en stark Ideal Customer Profile till att skapa engagerande outreach-kampanjer. Du hittar praktiska råd om leadgenerering, konverteringsoptimering och kundretention. Våra guider fokuserar på konkreta taktiker som ger resultat, hjälper dig att attrahera fler kvalificerade leads och göra dem till lojala kunder. Gör dig redo att synka sälj och marknad och nå dina affärsmål."}},"Enrichments":{"TITLE":"Berikning och sourcing","API_DOCUMENTATION":{"LABEL":"API","CTA_LABEL":"API documentation","NEW_TAB":"(opens in a new tab)"},"LISTING_ACTION":"Läs mer","CATALOG_CTA":{"ENRICHMENTS_TITLE":"Utforska alla databerikningar","SOURCES_TITLE":"Utforska alla datakällor","BODY":"Skapa ett kostnadsfritt Datablist-konto för att utforska hela katalogen.","LABEL":"Skapa ett kostnadsfritt konto"},"AI_AGENT_TEXT":"Lås upp unika insikter och automatisera sökningar på några minuter som dina konkurrenter behöver timmar för.","AI_AGENT_SUBTITLE":"Till exempel kan vår AI Agent:","RESEARCH_BUSINESSES":"Kartlägga småföretag","MONITOR_PRICING":"Övervaka prissidor","SCRAPE_DATA":"Skrapa ostrukturerad data","FIND_REVIEWS":"Hitta produktomdömen och mer","B2B_TEXT":"Få tillgång till 50+ högkvalitativa datakällor för att hitta och nå din nästa kund.","B2B_SUBTITLE":"Berika ditt CRM, ATS eller annan databas med korrekt och aktuell information.","GET_EMAILS":"Få email och telefonnummer.","FIND_ACCOUNT_DATA":"Hitta uppdaterad kontodata.","SCRAPE_PROFILES":"Skrapa profiler i sociala medier.","TRACK_POSITIONS":"Spåra lediga tjänster.","SYNC_TEXT":"Gå bortom begränsningarna i Excel, Google Sheets och AirTable.","SYNC_SUBTITLE":"Med Datablist kan du:","IMPORT_FILES":"Importera filer med upp till 2 miljoner rader.","SYNC_CLOUD":"Synka 100k rader per blad till molnet.","CONNECT_TOOLS":"Koppla till valfritt externt verktyg utan kod.","FILTER_DATA":"Filtrera din data innan import.","TAB_AI_AGENT":"AI Agent","TAB_B2B_DATA":"B2B Data","TAB_IMPORT_SYNC":"Import & Sync","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. Each search costs 2.5 credits.","primary":"Run 200 searches free","guide":"Check Full Guide","note":"No credit card needed","trust":["2.5 Credits per Search","Business Phone and Website","Run 200 Searches Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Google Maps Connector runs a Google Maps search for each row, built from your columns, and returns the matching place: name, address, rating, number of reviews, category, phone, website and coordinates.","cards":[{"title":"What you give","items":["Google Places Query: Built from your columns, for example a company name","Target Country and Language: Optional: where and in which language to search","Number of Results: Optional: 1 to 5 places per search"],"links":["See full input reference"]},{"title":"What you get","items":["Name and Address: The place name and its full address","Rating and Reviews: The rating and the number of ratings","Phone, Website, Coordinates: Contact details and latitude, longitude"],"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","500 Free Credits at Signup: Enough to run 200 searches","Billed per Fresh Search: No-match searches cost 2.5 credits; cache hits and failed requests cost 0"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name and City. 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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 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. It uses a machine learning model intended for English text.","cards":[{"title":"What you give","items":["Text to Extract From: Emails, notes, bios, posts or page text","Delimiter: Optional: how several names are joined","Extraction Mode: Optional: Strict, Balanced or Recall"],"links":["See full input reference"]},{"title":"What you get","items":["Person Name: People mentioned in the text","Organization Name: Companies and organizations mentioned","Location: Cities, countries and places mentioned"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.05 Credits per Text: 10,000 texts cost 500 credits","500 Free Credits at Signup: Enough to process 10,000 texts","Billed per Row Processed: A text with several names costs the same"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Text. 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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 names it mentions in new columns.","steps":[{"label":"Step 1","title":"Import your texts","body":"Upload a CSV or Excel file with the text to read. Email bodies, CRM notes, social posts, bios and scraped pages 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":"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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It does not use an LLM, so it is cheaper and faster than sending each row to an AI model.","cards":[{"title":"What you give","items":["Text to Analyze: One text column: messages, reviews, notes or page text","Any Length: Short messages and long descriptions both work","No Settings: Map the column and run it"],"links":["See full input reference"]},{"title":"What you get","items":["Language Name: English, French, Spanish, German and more","Language Code: The ISO 639 code, for example en or fr","Language 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 Text: 10,000 texts cost 500 credits","500 Free Credits at Signup: Enough to analyze 10,000 texts","Billed per Successful Detection: Empty inputs and no-result rows cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Text. Output: Language Name, Language Code and Language Confidence.","groups":["Your data","Added by Language Detection Tool"],"headers":["Text","Language Name","Language Code","Language Confidence"],"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 analyze and we'll show you the cheapest way to run them.","unitsLabel":"Texts 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. Language Detection Tool costs 0.05 credits per text, so 10,000 texts cost 500 credits and 100,000 texts cost 5,000 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 its language back in new columns.","steps":[{"label":"Step 1","title":"Import your texts","body":"Upload a CSV or Excel file with the text to analyze. Customer messages, reviews, support tickets, survey answers and scraped page text 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":"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"},{"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"}]},"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 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"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Language Detection 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":"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, 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, cost, long texts and mixed languages.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Language Detection Tool","description":"Run Datablist's Language Detection Tool 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":[["Text to analyze","Text","The text to detect the language of."]]},{"title":"Outputs","rows":[["Language Name","Text","Language detected for the text (ex: English). Empty if the algorithm can't detect the language."],["Language Code","Text","Code ISO 639 (alpha-2)) for the detected language (ex: en). Empty if the algorithm can't detect the language."],["Language Confidence","Text","Confidence level for the detected language: 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 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. You can pick the GPT model and add instructions, for example to keep HTML, XML or JSON structure.","cards":[{"title":"What you give","items":["Text to Translate: One column of text, one text per row","Target Language: Required: the language to translate to","Model and Instructions: Optional: GPT model and extra instructions"],"links":["See full input reference"]},{"title":"What you get","items":["Translated Text: The translation, written to a new column","Your Original Column: Stays unchanged next to the translation","Structured Text: Choose HTML/XML or JSON instructions and check the translated structure"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["About 1 Credit per 1,000 Characters: Estimated with GPT-4o mini, the default model","Larger Models Cost More: Up to about 50 credits per 1,000 characters","Billed by Token Usage: Input and output tokens determine the final cost"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Text to translate. 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. 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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":"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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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
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":"Parse a Name","description":"Given a Name, return the First Name and Last Name.","imageAlt":"Parse a Name"},{"title":"Parse Name and Gender","description":"Given a full name and a geographic location, return the First Name, Last Name and Gender.","imageAlt":"Parse Name and Gender"},{"title":"Normalize First and Last Name","description":"Normalize capitalization and formatting of first and last names without changing their spelling.","imageAlt":"Normalize First and Last Name"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","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"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Extract Name from Email Address with complementary data tools in Datablist.","cards":[{"title":"Name Parser","description":"Split full names into parts, with gender and country.","imageAlt":"Name Parser"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email or a LinkedIn profile.","imageAlt":"Waterfall People Enrichment"}],"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 accuracy, formats, role emails, country and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Extract Name from Email Address","description":"Run Datablist's Extract Name from Email Address 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":[["Email","Email","Email to extract First Name and Last Name from."]]},{"title":"Outputs","rows":[["First Name","Text","Where to store the First Name, when found"],["First Name Confidence","Text","Confidence level for the extracted first name: High, Medium, Low, or Very Low."],["Last Name","Text","Where to store the Last Name, when found"],["Last Name Confidence","Text","Confidence level for the extracted last name: High, Medium, Low, or Very Low."],["Country","Text","Country where the extracted name is most common."],["Country Confidence","Text","Confidence level for the inferred country: High, Medium, Low, or Very Low."],["Extraction Pattern","Text","Pattern used to extract the name, such as {first}.{last}, {f}.{last}, {last}{first}, or display_name."]]}]},"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":"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. Each name 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 Name","Handles Messy Name Formats","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Name Parser splits each full name into its parts and can guess the gender and the country where the name is most common. 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. The names can be messy: all caps, last name first, with a title, or written as an email address. Keep the original name column so you can review edge cases."},{"label":"Step 2","title":"Pick the fields you need","body":"Map the name column and choose the outputs. Gender and country are computed only when you select them, so map only the columns you need. The parser rejects values that are not person names, such as company names with legal suffixes and generic inboxes like support@."},{"label":"Step 3","title":"Get clean columns back","body":"Each row returns its name parts, plus a country confidence when you map the country. Rows with no reliable name are marked in the run status, so you can filter and review them. The country is a guess based on how common the name is, not a verified location."}]},"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":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"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 clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]}},"corner":{"title":"Try it for Free","body":"Parse full names into first name, last name, gender and country in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Name Parser"},"EnrichmentDeepLTranslate":{"metadata":{"title":"DeepL Translate - Translate a CSV or Excel Column in Bulk | Datablist","description":"Translate a column of text in a CSV or Excel file with DeepL, in bulk. 31 target languages, 35 credits per 1,000 characters, or use your own DeepL key."},"tabs":["Overview","How to use"],"hero":{"title":"DeepL Translate","description":"Translate a spreadsheet column into 31 languages with DeepL. 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Output: Translated Text.","groups":["Your data","Added by DeepL Translate"],"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. DeepL Translate costs 35 credits per 1,000 characters translated, so 100,000 characters cost 3,500 credits (about $3.50). The estimate counts every character once. 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.
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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":"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. 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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":"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. 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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. 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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
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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":"Företagsnamn till domän – hitta företagsdomäner i bulk | Datablist","description":"Omvandla en lista med företagsnamn till verifierade domäner i bulk. Datablist kontrollerar först företagsdatabaser, går sedan vidare till en Google-sökning i realtid och poängsätter varje matchning."},"breadcrumb":"Företagsnamn till domän","tabs":["Översikt","Så använder du verktyget"],"hero":{"title":"Företagsnamn till domän","description":"Omvandla en lista med företagsnamn till deras domäner. Först används kvalitetssäkrade databaser och därefter Google-sökning i realtid för namnen som inte hittas.","trust":["Korrekta domäner","GDPR-kompatibel","Över 38 000 användare"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Hitta 500 domäner gratis","guide":"Se hela guiden","note":"Inget betalkort krävs"},"glance":{"eyebrow":"Översikt","title":"I korthet","description":"Domänen är det första fältet som all annan berikning behöver. Datablist matchar dina företagsnamn mot kvalitetssäkrade företagsdatabaser och går sedan vidare till en Google-sökning i realtid för dem som inte hittas.","cards":[{"title":"Det du anger","items":["Företagsnamn: t.ex. 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Namn och företag är fiktiva och dina resultat kan variera.","footer":""},"calculator":{"eyebrow":"Kalkylator","title":"Hur mycket kommer det att kosta?","description":"Ange hur många företagsnamn du behöver hitta domäner för, så visar vi det billigaste alternativet.","unitsLabel":"Företagsnamn att söka efter","workflowLabel":"Vilket workflow?","workflows":["Endast företagsdataset (1 credit per matchning)","Dataset, sedan Google som reserv (2,5 credits per Google-sökning)"],"matchRateLabel":"Andel namn som du förväntar dig att databasen matchar","needsLabel":"Behöver du också:","needs":["Köra detta via API/MCP","Konfigurera automatiserad berikning"],"resultLabels":["Rekommenderad plan","Påfyllning av credits","Credits du kommer att ha"],"totalLabel":"Totalt den här månaden","cta":"Prova gratis","note":"Inget betalkort krävs","pricingLink":"Se priser","creditsTitle":"Så fungerar credits","creditsBody":"1 000 credits = 1 $, så varje credit kostar en tiondels cent. En databasmatchning kostar 1 credit och debiteras endast när en domän hittas. En Google-sökning som reserv kostar 2,5 credits och debiteras oavsett resultat. Därför påverkar fördelningen mellan de två din kostnad. Matchningsgraden ovan är din uppskattning, inte en siffra från Datablist: kör först ett urval på några hundra namn och ställ in den utifrån det faktiska resultatet. Google-resultat cachas i 48 timmar, så om du ändrar en inställning och kör igen inom den perioden kostar det 1 credit per rad i stället för 2,5. Planens credits förnyas varje månad och nollställs om de inte används. 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Det går bra med ostrukturerade namn. Om listan omfattar flera länder lägger du till en landskolumn, så använder Datablist den för att begränsa varje matchning."},{"label":"Steg 2","title":"Först databaser, sedan Google","body":"Datablist matchar dina namn mot kvalitetssäkrade företagsdataset, vilket går snabbt och kostar 1 credit per träff. Namn som inte hittas i dataseten skickas vidare till en Google-sökning i realtid som hoppar över kataloger och sociala nätverk."},{"label":"Steg 3","title":"Varje matchning får en tillförlitlighetsnivå","body":"Varje rad får tillförlitlighetsnivån Hög, Medel, Låg eller Mycket låg. Godkänn de höga automatiskt, granska dem i mitten och skicka resten till AI Agent med mer kontext."}]},"customers":{"title":"Betrott av snabbväxande startups och Fortune 500-team","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Sluta göra manuellt det Datablist gör på sekunder","body":"Prova Datablist och upptäck hur enkelt det kan vara att automatisera workflows. Över 38 000 användare har redan upptäckt det!","label":"Prata med oss"},"templates":{"eyebrow":"Workflows","title":"Mallar","description":"Kom igång direkt med färdiga workflows som bygger på företagsdomäner.","cards":[{"title":"Avancerad webbplatssökare","description":"Hitta domäner för namnen som varken dataseten eller Google hittar.","imageAlt":""},{"title":"Företagsberikning","description":"Gå från ett företagsnamn till fullständiga företagsdata.","imageAlt":""},{"title":"Företagsnamn till LinkedIn","description":"Hitta företagens LinkedIn-sidor utifrån deras namn.","imageAlt":""}]},"tutorials":{"eyebrow":"Guider","title":"Relaterade guider","description":"Lär dig de senaste workflowerna med detaljerade steg-för-steg-guider.","cards":[{"title":"Företagsnamn till domän: 3 bulkmetoder","imageAlt":"Företagsnamn till domän: 3 bulkmetoder"},{"title":"Så berikar du företagsdata från företagsnamn","imageAlt":"Så berikar du företagsdata från företagsnamn"},{"title":"Ett alternativ till Clearbit för att hitta företagsdomäner","imageAlt":"Ett alternativ till Clearbit för att hitta företagsdomäner"}]},"faq":{"eyebrow":"Vanliga frågor","title":"Vanliga frågor","description":"Svar på vanliga frågor om matchningsgrader, debitering och hantering av tvetydiga företagsnamn.","items":[{"question":"Hur mycket kostar det att hitta domäner för 500 företagsnamn?","answer":"Det beror på vilken väg varje namn tar. En databasmatchning kostar 1 credit och debiteras endast när en domän hittas, så 500 lyckade matchningar kostar cirka 500 credits. En Google-sökning som reserv kostar 2,5 credits och debiteras oavsett om den hittar något. Använd kalkylatorn ovan för att beräkna din egen fördelning."},{"question":"Vad visar poängen för domänens tillförlitlighet egentligen?","answer":"Hur säker Datablist är på att domänen tillhör namnet. Resultatet anges som Hög, Medel, Låg eller Mycket låg. Syftet är att prioritera i stor skala: godkänn Hög automatiskt, granska Medel innan du använder resultatet senare i processen och skicka Låg och Mycket låg till en kraftfullare metod i stället för att skicka email till dem."},{"question":"Hur hanterar ni tvetydiga namn som \"Dove\" eller \"United\"?","answer":"Ett fristående namn är genuint tvetydigt och ingen sökning kan lösa det utan mer information. Två saker hjälper. Ange ett måland, per lista eller per rad, för att minska antalet kandidater. För namnen som återstår kör du AI Agent med mer kontext, till exempel en stad, bransch eller beskrivning, så resonerar den kring vilken matchning som passar."},{"question":"Vad händer när en sökning inte ger något resultat?","answer":"Status i utdata blir not_found, eller empty_name om indatacellen var tom. Filtrera vyn till dessa rader och försök igen: lägg till ett land, aktivera Google som reserv om du bara körde databaser eller flytta dem till AI Agent med mer kontext."},{"question":"Varför får jag katalogsidor i stället för företagens webbplatser?","answer":"Som standard hoppar Datablist över URL:er som inte ligger på rotnivå och kända kataloger som Crunchbase, samt sociala nätverk som LinkedIn och Facebook, när Google-resultat poängsätts. Om en branschspecifik katalog ändå slinker igenom lägger du till den under Hoppa över följande domäner, så exkluderas den tillsammans med standardalternativen."},{"question":"Kan jag ange ett annat måland för varje rad?","answer":"Ja. Aktivera Ange måland per objekt så visas ett indatafält för Måland, som du kopplar till en kolumn. Godkända format är ISO 3166-koder (FR, USA) eller det fullständiga engelska namnet (Portugal). Rader med ett saknat eller ogiltigt land använder den globala inställningen för Måland."},{"question":"Debiteras jag två gånger om jag kör berikningen igen?","answer":"Inte för Google. Resultaten cachas i 48 timmar, så om du ändrar en inställning och kör igen inom den perioden kostar raden 1 credit i stället för 2,5. För att undvika att bearbeta rader som redan har lösts filtrerar du vyn till raderna där domänen är tom och kör på alla objekt i vyn."},{"question":"Vad ska jag göra när jag har domänerna?","answer":"Domänen öppnar resten av din stack. Företagsberikning lägger till bransch, storlek, plats och grundandeår. Waterfall Email Finder tar ett namn och domänen och returnerar en verifierad emailadress. Teknikberikning läser av sajtens stack."}]},"related":{"eyebrow":"Integrationer","title":"Relaterade berikningar","description":"Kombinera Company Domain Finder med kompletterande dataverktyg i Datablist.","cards":[{"title":"Företagsberikning","description":"Omvandla en domän till bransch, storlek, plats och grundandeår.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Använd domänen tillsammans med ett namn för att hitta en verifierad emailadress.","imageAlt":""},{"title":"Rensning av företagsnamn","description":"Ta bort LLC och Inc och korrigera skiftläget innan du kör sökningen.","imageAlt":""}],"action":"Se alla berikningar"},"free":{"eyebrow":"Gratisverktyg","title":"Prova gratis först","description":"Gratisversioner av relaterade verktyg som du kan prova på några rader innan du skalar upp.","cards":[{"title":"Gratis domänsökare","description":"Klistra in företagsnamn och hitta deras webbplatser. Gratis, inget betalkort krävs.","imageAlt":""},{"title":"Gratis rensning av företagsnamn","description":"Standardisera företagsnamn: ta bort juridiska suffix, korrigera skiftläget och flagga dubbletter.","imageAlt":""},{"title":"Gratis Email Finder","description":"Hitta en jobbmailadress från ett namn och ett företag. Prova gratis.","imageAlt":""}],"action":"Se alla gratisverktyg"},"guide":{"hero":{"title":"Så använder du Datablists Företagsnamn till domän","description":"Kör Datablists Företagsnamn till domän på din egen lista i 6 steg, helt utan kod. Efter guiden finns en inställningsreferens och svar på vanliga frågor.","trust":["Enkelt att använda","Ingen teknisk konfiguration","Helt no-code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Gå till ett avsnitt","items":["Steg-för-steg-guide","Inställningsreferens","Relaterade artiklar","Vanliga frågor"]},"title":"Steg-för-steg-guide","reference":{"title":"Inställningsreferens","description":"En referens för alla inställningar samt all indata och utdata. Steg-för-steg-guiden ovan innehåller allt du behöver för att komma igång.","groups":[{"title":"Inställningar","rows":[["Workflow","Val","Använd endast företagsdatasetet eller låt Datablist göra en Google-sökning på namnen som inte hittas"],["Måland","Text","Begränsa sökningen till ett land. Filtrerar datasetet och anger landet för Google"],["Ange måland per objekt","Kryssruta","Lägger till Måland som indata så att du kan ange land per rad"],["Godkänn webbplatser som inte ligger på rotnivå","Kryssruta","Tillåt resultat som inte är en rotdomän, t.ex. en företagssida på en hostingplattform"],["Hoppa över följande domäner","Lång text","Kommaseparerade domäner som ska exkluderas utöver den inbyggda listan över kataloger och sociala nätverk"],["Bearbeta endast cachade Google-resultat","Kryssruta","Återanvänd endast sparade Google-resultat, gör inga nya sökningar i realtid och hoppa över datasetresultat"]]},{"title":"Indata","rows":[["Företagsnamn","Text","Namnet på företaget som ska sökas, t.ex. google"],["Måland","Text","Visas endast när Ange måland per objekt är aktiverat. ISO 3166-kod eller engelskt namn"]]},{"title":"Utdata","rows":[["Företagsdomän","Text","Företagets domän, t.ex. google.com, när en hittas"],["Företagets fullständiga URL","URL","Företagets fullständiga URL, t.ex. https://www.google.com, när en hittas"],["Domänens tillförlitlighet","Text","Hur stark matchningen är: Hög, Medel, Låg eller Mycket låg"],["Status","Text","Ett av success, not_found eller empty_name"]]}]},"cta":{"title":"Sluta göra manuellt det Datablist gör på sekunder","body":"Prova Datablist och upptäck hur enkelt det kan vara att automatisera workflows. Över 38 000 användare har redan upptäckt det!","label":"Prata med oss"},"articles":{"title":"Relaterade artiklar","cards":[{"title":"Företagsnamn till domän: 3 bulkmetoder","imageAlt":"Företagsnamn till domän: 3 bulkmetoder"},{"title":"Hitta företagswebbplatser från företagsnamn","imageAlt":"Hitta företagswebbplatser från företagsnamn"},{"title":"Så berikar du företagsdata från företagsnamn","imageAlt":"Så berikar du företagsdata från företagsnamn"}]},"steps":[{"title":"Steg 1: Registrera dig och ladda upp dina data","paragraphs":["Registrera dig först på <a href=\"signup\">Datablist.com</a>","Ladda sedan upp din CSV- eller Excel-fil med listan över företagsnamn"],"imageAlts":["Företagsnamn till domän – Registrera dig","Företagsnamn till domän – Ladda upp din företagslista"]},{"title":"Steg 2: Öppna berikningen Hitta företagsdomäner","paragraphs":["1. Klicka på Berika i toppmenyn","2. Öppna fliken Företag","3. Välj Hitta företagsdomän från företagsnamn."],"imageAlts":["Företagsnamn till domän – Berikningsbibliotek"]},{"title":"Steg 3: Konfigurera workflowet","paragraphs":["Under Workflow väljer du \"Använd endast företagsdataset.\" Det är det billigaste alternativet och kostar 1 credit per hittad domän.","Ange Måland eller markera Ange måland per objekt om varje rad har en egen landskolumn.","Välj i stället Google-workflowet för att täcka de namn som inte hittas i dataseten. Datablist gör då en sökning i realtid på de återstående namnen. Det kostar 2,5 credits per sökning och debiteras oavsett om en domän hittas eller inte."],"imageAlts":["Företagsnamn till domän – Inställningar för databasworkflow","Företagsnamn till domän – Inställning för Google-workflow"]},{"title":"Steg 4: Koppla kolumnen med företagsnamn","paragraphs":["1. Ange kolumnen som innehåller företagsnamnen som Indataegenskap","2. Klicka på Fortsätt till konfiguration av utdata"],"imageAlts":["Företagsnamn till domän – Koppla indatakolumnen"]},{"title":"Steg 5: Välj utdata för domäner","paragraphs":["1. Använd ikonerna ⊕ eller Lägg till alla 3 utdata i samlingen för att lägga till utdata i din samling.","2. Klicka på Kör direkt","Behåll Domänens tillförlitlighet och Status. Med dem kan du prioritera resultaten efter körningen i stället för att lita lika mycket på varje rad."],"imageAlts":["Företagsnamn till domän – Konfiguration av utdata"]},{"title":"Steg 6: Kör berikningen i bulk","paragraphs":["Konfigurera slutligen körningsinställningarna genom att klicka på pilen till höger på knappen. Då kan du välja mellan följande alternativ:","• Kör på de första 10 objekten: Bra för att kontrollera resultaten innan du fortsätter","• Kör på de första 100 objekten: Användbart om du vill validera större urval","• Kör på de första {X} objekten: Låter dig välja hur många objekt som ska bearbetas","• Kör på alla objekt i vyn: Bearbeta hela listan (eller vyn om du har aktiverat filter)","När du har valt önskat alternativ klickar du på Kör på X objekt","Inom några minuter har du en kolumn med verifierade domäner bredvid företagsnamnen, redo för nästa berikning.","Sortera eller filtrera efter Domänens tillförlitlighet och skicka sedan rader med Låg, Mycket låg och not_found till AI Agent med mer kontext, till exempel en stad eller bransch."],"imageAlts":["Företagsnamn till domän – Körningsinställningar","Företagsnamn till domän – Körning av webbplatssökaren","Företagsnamn till domän – Databasresultat","Företagsnamn till domän – Resultat från AI Agent"]}],"faq":{"title":"Vanliga frågor","items":[{"question":"Vad är skillnaden mellan de två workflow-alternativen?","answer":"Alternativet med endast företagsdataset matchar dina namn mot kvalitetssäkrade dataset för namn och domäner. Det är det snabba alternativet, kostar 1 credit och debiteras endast vid en träff. Det andra alternativet lägger till en Google-sökning i realtid för namnen som inte kunde matchas i datasetet. Det kostar 2,5 credits per sökning och debiteras oavsett om en domän hittas eller inte."},{"question":"Vilken får jag när flera domäner matchar ett namn?","answer":"Den med mest trafik. Om du inte vill ha detta resultat är det effektivast att begränsa efter Måland, eftersom datasetet då filtreras innan valet mellan matchningarna görs."},{"question":"Vad gör Godkänn webbplatser som inte ligger på rotnivå?","answer":"Som standard avvisar Datablist Google-resultat som inte ligger på en rotdomän. Det håller katalogsidor som directory.com/mycompany borta från din lista. Nackdelen är att du även missar verkliga företag vars webbplats ligger på en plattform, till exempel hostingplatform.com/mycompanypage. Aktivera alternativet när listan innehåller många småföretag."},{"question":"Hur påverkar Googles cache på 48 timmar mina credits?","answer":"Datablist cachar Googles sökresultat i 48 timmar. Om du ändrar Godkänn webbplatser som inte ligger på rotnivå eller Hoppa över följande domäner och kör igen inom den perioden hämtas resultaten från cachen och kostar 1 credit per rad i stället för 2,5. Det gör det billigt att finjustera dessa två inställningar."},{"question":"Vad används Bearbeta endast cachade Google-resultat till?","answer":"Det begränsar körningen till Google-resultat som du redan har betalat för och hoppar över datasetresultat helt. Använd det för att poängsätta en tidigare körning på nytt med andra inställningar utan att betala för nya sökningar i realtid."},{"question":"Vilka landsformat godkänns för Måland?","answer":"ISO 3166 Alpha-2-koder som FR, Alpha-3-koder som USA eller det fullständiga engelska namnet, till exempel Portugal. Om en rads land saknas eller är ogiltigt använder Datablist den globala inställningen för Måland."},{"question":"Hur kör jag bara de rader som misslyckades igen?","answer":"Filtrera vyn efter Status eller efter Domänens tillförlitlighet för svaga matchningar och välj sedan Kör på alla objekt i vyn. Endast raderna i den filtrerade vyn bearbetas, så du betalar aldrig igen för rader som redan har lösts."},{"question":"När bör jag använda AI Agent i stället?","answer":"När ett namn är tvetydigt och du har kontext som sökningen inte kan använda. Både datasetet och Google utgår enbart från namnet. AI Agent tar emot en stad, bransch eller beskrivning tillsammans med namnet, undersöker företaget och returnerar en domän med en tillförlitlighetspoäng och en förklaring. Spara den till de återstående raderna, eftersom den är användningsbaserad och kostar mer per rad."}]}},"corner":{"title":"Prova gratis","body":"Omvandla dina företagsnamn till verifierade domäner i bulk. Över 38 000 användare finns redan på Datablist.","label":"Prova gratis","close":"Stäng 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. 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 accuracy, billing and outreach rules for personal emails."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Personal Email Finder","description":"Run Datablist's Waterfall Personal Email Finder 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":[["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":[["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. No account connection required, so your LinkedIn profile is never at risk."},"breadcrumb":"LinkedIn Profile Scraper","tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Profile Scraper","description":"Turn a list of LinkedIn profile URLs into full contact records. Your own account is never connected, so it can never be flagged.","trust":["No Login Required","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Scrape 20 profiles free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The LinkedIn Profile Scraper pulls public profile data from any LinkedIn or Sales Navigator URL. 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. Output: 42 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by LinkedIn Profile Scraper"],"headers":["LinkedIn Profile URL","Full Name","Headline","Title (current job)","Company Name (current job)","Location","First Name","Last Name","Summary","City","State","Country","Country Name","Employment Type (current job)","Description (current job)","Start Date (current job)","End date (current job)","Location (current job)","Company page URL (current job)","Company website (current job)","Company description (current job)","Company Industry (current job)","Company employee range (current job)","Title (job #2)","Employment Type (job #2)","Description (job #2)","Start Date (job #2)","End date (job #2)","Company Name (job #2)","Title (job #3)","Employment Type (job #3)","Description (job #3)","Start Date (job #3)","End date (job #3)","Company Name (job #3)","School (education)","Degree (education)","Field of Study (education)","Start Date (education)","End date (education)","Languages","Connections","LinkedIn Profile URL Normalized"],"caption":"Sample input and output.","scrollHint":"43 columns, scroll →","footer":"Scroll sideways to see all 43 columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many LinkedIn profiles you need to scrape and we'll show you the cheapest way to get them.","unitsLabel":"Profiles to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"cachedLabel":"Accept cached profiles (20 credits instead of 25)","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 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. 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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. 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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. 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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. 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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. 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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":"Perplexity API keys are blocked when the credits run out, so keep a balance or turn on auto reload in the API portal. Perplexity's search-grounded models can be slower than plain chat models, which matters on large files."},"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 Perplexity API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Perplexity can search the web while it answers, so the prompt can ask about current facts."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. 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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 Perplexity 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 Perplexity AI","description":"Run Datablist's Ask Perplexity 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":[["Perplexity AI API Key","Text","Your Perplexity AI API Key. Available at perplexity.ai/account/api."],["Prompt","RichText","Prompt to be used to call Perplexity AI. 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."],["Perplexity AI Model","Select","Choose the model to use. See Perplexity's model cards 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 Perplexity's model cards. Select Other in the model setting first."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."]]}]},"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 Perplexity 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 Perplexity AI"},"EnrichmentAskGemini":{"metadata":{"title":"Ask Gemini - Run Google Gemini on Every CSV or Excel Row | Datablist","description":"Run a Google Gemini prompt on every row of a CSV or Excel file. Free in Datablist with your own Google AI Studio API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Gemini","description":"Write one prompt and run Google Gemini on every row of your CSV or Excel file. Free in Datablist with your own Google AI Studio 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 Gemini 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 Google 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 Gemini 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 Google: Usage is charged to your own Google 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 Gemini"],"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 Gemini 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."],["Google usage","On the paid tier, Google bills your own Google AI Studio project for Gemini usage, based on the model you choose and how much text each row uses. Google’s Free Tier has model and quota limits; billing applies to paid Gemini API usage."],["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":"Every Gemini API key belongs to a Google Cloud project, which manages billing and quota. Check your project's quota before you run 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 Google AI Studio 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 Gemini 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 Gemini","description":"Run Datablist's Ask Gemini 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":[["Gemini API Key","Text","Your Gemini API Key. Available at aistudio.google.com/apikey."],["Prompt","RichText","Prompt to be used to call Gemini. 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."],["Gemini Model","Select","Choose the model to use. See Google's Gemini models 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 Google's Gemini models page. 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 Gemini 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 Gemini"},"EnrichmentClassificationChatGPT":{"metadata":{"title":"Classification with ChatGPT/OpenAI - Sort CSV or Excel Rows Into Your Own Labels | Datablist","description":"Classify text in a CSV or Excel file into labels you define with ChatGPT/OpenAI. Get the label and a confidence level for every row. Free in Datablist with your own OpenAI API key."},"tabs":["Overview","How to use"],"hero":{"title":"Classification with ChatGPT/OpenAI","description":"Sort every row of your CSV or Excel file into labels you define, with a confidence level for each. 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","Sort Rows Into Your Own Labels","Confidence Level for Every Match"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Classification with ChatGPT/OpenAI labels the text in each row. You define the labels and choose the text column, and it returns one label from your list and a confidence level.","cards":[{"title":"What you give","items":["A Text Column: The text to classify, one value per row","Your Labels: A comma-separated list, for example Sales, Marketing, Other","Your OpenAI API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["The Selected Label: One label from your list for each row","A Confidence Level: High, Medium, Low or Very Low","A Status per Row: Success, no result, missing data or API error"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by OpenAI: Usage is charged to your own OpenAI 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: Text. 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. Datablist caches identical requests for 48 hours, so repeated values in your file cost fewer tokens."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Define your labels, point it at a text column and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and labels","body":"Paste your OpenAI API key and type the labels you want, separated by commas. Add a label such as Other for rows that fit none, so nothing is forced into the wrong category."},{"label":"Step 2","title":"Map the text and test","body":"Map the Text input to the column you want to classify, for example job titles, company descriptions or reviews. Run it on the first 10 rows and check the labels before the full run."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends each value to OpenAI and writes the label, a confidence level and a status into new columns. 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. It searches Google, opens websites, reads them, and fills in your columns for every row in your list."},"tabs":["Overview","How to use"],"hero":{"title":"AI Research Agent","description":"Give the agent a goal and the fields you want back. It searches Google, reads the pages it finds, and fills in every row.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["Ready-Made Templates","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The AI Research Agent handles the work a database cannot: reading the live web. It searches Google, opens the pages it finds, understands what is on them, and returns the exact fields you asked for.","cards":[{"title":"What you give","items":["A Prompt: Plain English. Type / to pull in a column","Your Expected Outputs: Name each field you want back","Or a Ready-Made Template: Business Owner Finder and others, no prompt to write"],"links":["See full input reference"]},{"title":"What you get","items":["Your Own Output Fields: Whatever you defined, structured into columns","Confidence Score: Optional model assessment from 0 to 100; spot-check results against sources","Run Status: Says why a row came back empty"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Usage-Based Credits: Roughly 3 to 25 credits per row at default settings","Charged per Run, Not per Result: The agent does the work even when it finds nothing","Max Iterations Limits Research: Default 7 iterations per row; more iterations can cost more"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name and Website. Output: Pricing Model, Free Plan and Confidence Score.","groups":["Your data","Added by AI Research Agent"],"headers":["Company Name","Website","Pricing Model","Free Plan","Confidence Score"],"caption":"Pricing Model and Free Plan are example fields. You define your own output fields in the prompt.","scrollHint":"","footer":"Pricing Model and Free Plan are example fields. 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":"Smarta människor frågar ofta","WHAT_IS_TITLE":"Vad är Datablist?","WHAT_IS_TEXT":"Datablist är ett AI-drivet kalkylblad som låter dig interagera med dina data på enklast möjliga sätt – oavsett om det handlar om deduplicering, datastädning, bearbetning, berikning eller att automatisera workflows.","TECHNICAL_TITLE":"Är Datablist byggt för tekniska användare?","TECHNICAL_TEXT":"Datablist är för alla som behöver arbeta med data – från nybörjare till power users. Vårt kalkylbladsgränssnitt och våra lärresurser gör att du kan bli produktiv direkt.","INDUSTRIES_TITLE":"Vilka branscher och team arbetar med Datablist?","INDUSTRIES_TEXT":"Även om majoriteten av våra kunder finns inom sälj, e‑com operations, SaaS growth eller finans, begränsar vi oss inte till vissa branscher eller team – vi arbetar gärna med alla.","INTEGRATIONS_TITLE":"Vilka verktyg kan vi integrera Datablist med?","INTEGRATIONS_TEXT":"Datablist kan integreras med många CRM:er och låter dig ta bort behovet av flera prenumerationer, till exempel scrapers och email finders. Det ger också tillgång till verktyg som ingen annan plattform har, som vår AI research agent och dedupliceringsassistent."},"FeatAIAgent":{"PAGE_TITLE":"AI Agent: Automatisera research på webben och dataextraktion","PAGE_DESC":"Använd Datablists AI Agent för att scrapa vilken webbplats som helst, automatisera Google-sökningar och extrahera strukturerad data med enkla prompts. Ingen kod krävs.","HERO_TITLE":"Din automatiserade AI-researchassistent","DESCRIPTION":"Sluta slösa timmar på manuell research. Beskriv ditt mål på enkel engelska, så söker vår AI Agent på Google, besöker webbplatser och extraherar exakt den data du behöver – helt automatiskt.","FEATURE":"Funktion","POWERFUL_AUTOMATION":"Kraftfull automatisering","100%ONLINE":"100% online","EASY_TO_USE":"Lätt att använda","BEYOND_SCRAPING_TITLE":"Gå bortom traditionell scraping","BEYOND_SCRAPING_DESC_1":"Traditionella web scraping-verktyg bygger på rigida regler och slutar fungera så fort layouten på en webbplats ändras. De kan inte förstå kontext eller hantera komplexa, dynamiska sajter.","BEYOND_SCRAPING_DESC_2":"Vår AI Agent är annorlunda. Drivs av avancerade stora språkmodeller (LLM) och förstår innebörden av innehåll, inte bara dess HTML‑struktur. Den navigerar på webbplatser som en människa, vilket gör den mer robust, mångsidig och kapabel att extrahera nyanserad information.","BEYOND_SCRAPING_DESC_3":"Ge den ett mål, så planerar och utför den stegen för att nå det – från att följa länkar och paginera genom resultat till att analysera ostrukturerad text.","HOW_IT_WORKS_TITLE":"Så fungerar AI Agent","HOW_IT_WORKS_DESC":"AI Agent följer en enkel men kraftfull process för att göra din förfrågan till strukturerad data.","STEP_1_TITLE":"1. Du sätter målet","STEP_1_DESC":"Ange en start-URL och en tydlig prompt som beskriver vilken data du vill extrahera och hur den ska formateras.","STEP_2_TITLE":"2. Agenten navigerar och förstår","STEP_2_DESC":"Agenten besöker webbplatsen, renderar JavaScript och analyserar innehållet för att förstå sammanhanget och hitta relevant information.","STEP_3_TITLE":"3. Den hanterar komplexa sidor","STEP_3_DESC":"Behöver du scrapa en flersidig lista? Aktivera bara paginering. Agenten hittar och klickar intelligent på \"nästa\" för att samla data från alla sidor.","STEP_4_TITLE":"4. Data extraheras och struktureras","STEP_4_DESC":"Baserat på din prompt extraherar agenten de specificerade datapunkterna och levererar dem prydligt till dina förkonfigurerade kolumner.","USE_CASES_TITLE":"Från lead gen till market intelligence: oändliga möjligheter","USE_CASE_LEAD_GEN_TITLE":"Superladda lead generation","USE_CASE_LEAD_GEN_DESC":"Hitta hyperrelevanta personaliseringspunkter i skala. Scrapa företagens kundcase, identifiera nyckelpersoner på \"Om oss\"-sidor eller extrahera kontaktuppgifter från tyska \"Impressum\"-sidor.","USE_CASE_LEAD_GEN_LINK":"Se hur du scrapar kundcase","USE_CASE_ECOMMERCE_TITLE":"E-handel & produkt-scraping","USE_CASE_ECOMMERCE_DESC":"Extrahera produktnamn, priser, specifikationer och beskrivningar från vilken e‑handel som helst, även över flera kategorisidor.","USE_CASE_ECOMMERCE_LINK":"Lär dig scrapa e‑handelssajter","USE_CASE_REVIEWS_TITLE":"Recensions- och sentimentanalys","USE_CASE_REVIEWS_DESC":"Samla kundfeedback genom att scrapa plattformar som Trustpilot eller Trusted Shops. Analysera sentiment och identifiera vanliga teman för att förstå marknaden.","USE_CASE_REVIEWS_LINK":"Guide till att scrapa Trustpilot","USE_CASE_RESEARCH_TITLE":"Automatiserad marknadsundersökning","USE_CASE_RESEARCH_DESC":"Automatisera repetitiva Google-sökningar för varje rad i ditt kalkylblad. Bevaka konkurrentnyheter, följ branschtrender eller samla data till rapporter utan manuellt arbete.","USE_CASE_RESEARCH_LINK":"Lär dig automatisera Google-sökningar","VIDEO_TITLE":"Se AI Agent i aktion","VIDEO_TEXT":"Se hur AI Agent kan besöka en lista med tyska webbplatser, hitta sidan \"Impressum\" och extrahera strukturerad kontaktinformation – en uppgift som är omöjlig för traditionella scraping-verktyg.","TALK_TO_US_TEXT":"Redo att sätta din research på webben på autopilot? Prova AI Agent och börja omvandla ostrukturerad webbdata till insikter du kan agera på.","CSV_EDITOR_DESCRIPTION":"En modern CSV‑editor för att hantera dina CSV‑filer online. Öppna och redigera din data direkt i webbläsaren","LEAD_LIST_BUILDING":"Bygg, städa och berika dina leadlistor","LEAD_BUILDING_DESCRIPTION":"Det bästa verktyget för att borra i stora leadlistor. Organisera, berika och hitta de perfekta prospekten."},"FeatAIEditing":{"PAGE_TITLE":"AI Editing: Automatisera Excel- och CSV-uppgifter med prompts","PAGE_DESC":"Ersätt komplexa formler och makron. Använd enkla prompts för att rensa, transformera och analysera dina data i stor skala med Datablists AI Editing-funktion.","HERO_TITLE":"Automatisera kalkylbladsuppgifter med AI","DESCRIPTION":"Sluta brottas med komplexa formler. Beskriv bara vad du behöver på enkel engelska, och låt vår AI generera det perfekta skriptet för att rensa, transformera och analysera dina data på några sekunder.","FEATURE":"Funktion","UNLIMITED":"Obegränsad användning","100%ONLINE":"100% online","NO_CODE":"No Code","REPLACE_FORMULAS_TITLE":"Ersätt formler med enkla prompts","REPLACE_FORMULAS_DESC_1":"Trött på att slå upp VLOOKUP-syntax eller felsöka komplexa Excel-formler? Med AI Editing kan du säga hejdå till frustrationen kring formler.","REPLACE_FORMULAS_DESC_2":"Skriv bara vad du vill göra, så genererar vår AI omedelbart ett skräddarsytt skript som hanterar uppgiften. Det är som att ha en dataexpert vid din sida, redo att automatisera vilken bearbetning som helst.","REPLACE_FORMULAS_DESC_3":"Vare sig du rensar företagsnamn, standardiserar adresser eller gör lead scoring, omvandlar AI Editing dina instruktioner till handling.","HOW_IT_WORKS_TITLE":"Så fungerar det: Från prompt till perfekta data i 4 steg","STEP_1_TITLE":"1. Importera dina data","STEP_1_DESC":"Ladda upp din CSV- eller Excel-fil till Datablist. Vår plattform hanterar stora datamängder utan problem så att du kan arbeta med hela din lista på en gång.","STEP_2_TITLE":"2. Öppna AI Editing","STEP_2_DESC":"Navigera till menyn 'Edit' och välj 'AI Editing'. Detta öppnar prompt-gränssnittet där magin sker.","STEP_3_TITLE":"3. Skriv din prompt","STEP_3_DESC":"Beskriv uppgiften du vill utföra. Använd variabler genom att skriva /ColumnName för att referera till dina data. Var så specifik du behöver!","STEP_4_TITLE":"4. Förhandsgranska och kör","STEP_4_DESC":"AI genererar ett skript och visar en live-förhandsgranskning av ändringarna. Om det ser rätt ut, klicka på 'Run' för att behandla hela din lista direkt.","USE_CASES_TITLE":"Lås upp kraftfulla användningsfall","USE_CASE_FIND_REPLACE_TITLE":"Sök och ersätt i bulk","USE_CASE_FIND_REPLACE_DESC":"Ersätt hundratals termer i hela din datamängd med en enda instruktion. Perfekt för att standardisera kategorier, rätta vanliga stavfel eller uppdatera produktinformation.","USE_CASE_FIND_REPLACE_LINK":"Läs mer om sök och ersätt i bulk","USE_CASE_CLEANING_TITLE":"Avancerad datarensning","USE_CASE_CLEANING_DESC":"Rensa och normalisera komplexa data som företagsnamn genom att ta bort juridiska suffix (LLC, Inc.) eller standardisera befattningar och adresser.","USE_CASE_CLEANING_LINK":"Se hur du rensar företagsnamn","USE_CASE_SCORING_TITLE":"Anpassad lead scoring och data scoring","USE_CASE_SCORING_DESC":"Skapa avancerade scoring-modeller baserade på flera kriterier från dina data. Tilldela poäng, rangordna leads och prioritera dina listor utan en enda formel.","USE_CASE_SCORING_LINK":"Lär dig göra lead scoring med AI","USE_CASE_TRANSFORM_TITLE":"Komplex datatransformering","USE_CASE_TRANSFORM_DESC":"Från att extrahera specifika delar av en text till att utföra villkorslogik, hanterar AI Editing transformationer som är nästintill omöjliga med standardfunktioner i kalkylblad.","USE_CASE_TRANSFORM_LINK":"Se fler exempel på datarensning","VIDEO_TITLE":"Se AI Editing i praktiken","LEAD_BUILDING_DESCRIPTION":"Det bästa verktyget för att fördjupa sig i stora lead-listor. Organisera, berika och hitta rätt prospekt.","VIDEO_TEXT":"Se hur du uppdaterar katalogenheter med en enkel prompt. Inga formler, inget krångel.","TALK_TO_US_TEXT":"Redo att sluta slösa tid på manuella kalkylbladsuppgifter? Testa AI Editing och transformera ditt data workflow redan idag!","CSV_EDITOR_DESCRIPTION":"En modern CSV-editor för att hantera dina CSV-filer online. Öppna och redigera dina data direkt i webbläsaren","LEAD_LIST_BUILDING":"Bygg, rensa och berika dina lead-listor","SEE_ALSO":"Se även"},"FeatCombine":{"PAGE_TITLE":"Konsolidera och slå ihop CSV-filer gratis","PAGE_DESC":"Sammanfoga dina CSV-listor baserat på en gemensam identifierare (kolumn).","FEATURE":"Funktion","NOSIGNUP":"Ingen registrering krävs","100%ONLINE":"100 % online","EASY_TO_USE":"Enkelt att använda","HERO_TITLE":"Konsolidera och slå ihop CSV-filer gratis","HERO_DESC":"Sammanfoga dina CSV-listor baserat på en gemensam identifierare (kolumn).","DATA_RECONCILIATION_DEF":"Vad är dataavstämning?","DATA_RECONCILIATION_DEF_DESC_1":"Dataavstämning är processen att jämföra och samköra data från olika källor. Denna process sker typiskt när det finns flera datakällor med relaterad information.","DATA_RECONCILIATION_DEF_DESC_2":"Dessa källor kan vara databaser, kalkylblad, mjukvarusystem eller till och med manuella register. Målet är att stämma av datan för att skapa en enhetlig, tillförlitlig och konsekvent datamängd.","DATA_RECONCILIATION_DEF_DESC_3":"Dataavstämning ger värdefulla insikter för beslutsfattande eftersom den knyter ihop utspridd data. Det används ofta inom redovisning, lagerhantering, marknadsföring osv.","JOIN_TITLE":"Sammanfoga dina CSV-filer till en enda samling","JOIN_DESC_1":"Google Sheets eller Microsoft Excel är bra verktyg för bokföringsuppgifter men saknar funktioner för datahantering. Andra specialiserade verktyg finns för data scientists, såsom ETL (Extract, Transform, Load), men de är inte tillgängliga för icke-tekniska användare.","JOIN_DESC_2":"I Datablist anger du bara vilken egenskap som ska användas för att konsolidera dina CSV-filer, så sköter verktyget resten.","SEE_TUTO":"Se guide","TALK_TO_US_TEXT":"Testa Datablist och se hur enkel listkonsolidering kan vara. 18 000+ användare upplever det redan!","MERGE_TITLE":"Slå ihop data från flera källor","MERGE_DESC_1":"I en digital värld är hantering av listor en vanlig uppgift. Oavsett om du:","MERGE_EX_1":"Bygger en samlad vy av dina kunder","MERGE_EX_2":"Skapar en lista över prospekt från flera källor","MERGE_EX_3":"Berikar en e-postlista med kontaktinformation","MERGE_DESC_2":"Du behöver ett verktyg som Datablist för att slå ihop och hantera din data.","WHEN_COMBINE_DATA":"När ska man kombinera datafiler?","WHEN_COMBINE_TITLE_1":"Konsolidera kundfiler","WHEN_COMBINE_DESC_1":"Att konsolidera kundfiler är avgörande för att skapa en samlad vy av dina kunder. När företag interagerar med kunder via olika touchpoints, såsom försäljning, marknadsföring, kundsupport och onlineplattformar, sprids värdefull data över olika system och databaser. Sammanfoga kunddata med deras emailadress eller annan unik identifierare. Då får alla dina team, till exempel marknadsföring, försäljning och kundservice, tillgång till denna enhetliga och heltäckande vy.","WHEN_COMBINE_TITLE_2":"Berika orderdata med produktkataloger","WHEN_COMBINE_DESC_2":"Inom e-handel hanterar du två huvudlistor: en produktlista och en orderlista. Orderlistan refererar till den köpta produkten. Att konsolidera dina produktattribut med din orderlista ger insikter från försäljningen, till exempel vilka huvudkategorier som säljs. Du kan även konsolidera annan extern data, till exempel trafikstatistik från din webbplats.","WHEN_COMBINE_TITLE_3":"Aggregera företagsdata för att bygga din prospektlista","WHEN_COMBINE_DESC_3":"När du bygger din prospektlista gäller: ju mer data du har om företagen, desto mer kan du segmentera dina prospekt. Datakonsolidering är användbar för att <doc>berika din prospektlista</doc> med externa datakällor. Antal anställda, senaste finansieringsrunda, intäkter och uppskattning av webbtrafik. Med korrekt och aktuell information om potentiella prospekt förbättrar du ditt lead scoring och minskar tiden som läggs på ej kvalificerade prospekt.","WHEN_COMBINE_LINK_3":"Läs mer om att bygga prospektlistor","WHEN_COMBINE_TITLE_4":"Berika leads med marknadsdata","WHEN_COMBINE_DESC_4":"Genom att samla data från olika källor, som webbanalys, mätetal i sociala medier och kundinteraktioner, får företag en helhetsbild av sin målgrupp. Ett perfekt användningsområde för datakonsolidering är att använda resultat från email-kampanjer i din leads-lista. Lyft fram de leads som öppnar eller klickar på ditt email för att rikta in dem via andra kanaler som LinkedIn eller andra sociala nätverk. Genom att berika leads med konsoliderad data förbättrar du dina konverteringar och undviker att lägga tid och pengar på ointresserade leads."},"FeatDuplicates":{"PAGE_TITLE":"Gratis verktyg för deduplicering","PAGE_DESC":"Ta bort dubbletter i dina listor baserat på en eller flera kolumner. No-Code-konfiguration och enkelt att använda även för icke-tekniska användare.","SEE_ALSO":"Se även","LEARN_MORE":"Läs mer","GET_STARTED":"Kom igång!","FEATURE":"Funktion","NOSIGNUP":"Ingen registrering krävs","100%ONLINE":"100% online","EASY_TO_USE":"Enkelt att använda","NO_TECHNICAL_REQUIRED":"Ingen teknisk kunskap krävs","NOCODE_CONF":"No-Code-konfiguration","EXPORT_CSV_TITLE":"Exportera till CSV- eller Excel-filer","EXPORT_CSV_DESC_1":"Behöver du föra över dina data till en annan applikation eller ett kalkylark?","EXPORT_CSV_DESC_2":"<0>Dina data är alltid dina</0>, exportera bara valda poster eller hela din samling till en CSV-fil eller en Microsoft Excel-fil.","EXPORT_CSV_DESC_3":"Genererade CSV-filer är kompatibla med Google Sheets och alla vanliga applikationer.","OK_GO":"Ok, kör!","RESOURCES":"Resurser","AI_TITLE":"AI-bearbetning av dubbletter","AI_TEXT":"Generera ny data, redigera befintlig information och bygg system från grunden med enkla prompts.","CSV_EDITOR_DESCRIPTION":"En modern CSV-redigerare för att hantera dina CSV-filer online. Öppna och redigera dina data direkt i webbläsaren","LEAD_BUILDING_DESCRIPTION":"Det bästa verktyget för att bearbeta stora leadlistor. Organisera, berika och hitta rätt prospekt.","COMBINE_DESCRIPTION":"Kombinera listfiler från flera källor till en enda samling. Enkelt att använda även för icke-tekniska användare.","TALK_TO_US_TEXT":"Testa Datablist och se hur enkelt datamatchning och deduplicering av poster kan vara. 18 000+ användare har redan upptäckt det!","HERO_TITLE":"Gratis verktyg för att ta bort dubbletter","DESCRIPTION":"Äntligen ett lättanvänt alternativ till Excel för deduplicering av data. Hitta, slå samman eller ta bort dubblettvärden i CSV- eller Excel-filer.","DEDUPLICATION_DEF_TITLE":"Vad är deduplicering av data?","DEDUPLICATION_DEF_DESC_1":"Deduplicering av data, eller <doc>deduping</doc>, är processen att eliminera dubblettposter från ett dataset.","DEDUPLICATION_DEF_DESC_2":"Deduping krävs för att ha en lista med unika poster. Inom marknadsföring med e-postlistor, i lead generation, eller kundhantering. Eller i e‑handel när produktkataloger hanteras. Två poster är dubbletter när de hänvisar till samma entitet. Två leads med samma emailadress, eller två produkter med samma streckkod.","DEDUPLICATION_DEF_DESC_3":"Dubbletter påverkar kvaliteten på dina data och sänker din produktivitet. Det finns två sätt att bli av med dubbletter: ta bort dem, eller slå samman liknande poster till en enda.","DEDUPLICATION_DEF_DESC_4":"Att ta bort dubbletter är enkelt, dedupliceringsalgoritmen hittar dubblettposterna och raderar alla utom en. Att slå samman dubbletter kräver att de analyseras för att kombinera dem till en enda huvudpost.","DUPLICATES_MODE_TITLE":"Fullständig eller partiell analys av poster, på en eller flera datasamlingar","DUPLICATES_MODE_DESC_1":"Datablist Duplicates Finder fungerar med fullständig jämförelse av poster eller med valda fält.","DUPLICATES_MODE_DESC_2":"Använd läget Valda fält för att hitta dubblettkontakter baserat på deras emailadress eller för att upptäcka dubbletter i en företagslista med deras webbplats-URL.","DUPLICATES_MODE_DESC_3":"Datablist Duplicates Finder fungerar med en eller flera listor. På flera listor använder dedupliceringsalgoritmen fältmappning för att jämföra poster mellan dina dataset.","MERGE_TITLE":"Ta bort eller konsolidera dubbletter","DUPLICATES_PREVIEW_TITLE":"Förhandsgranska dubbletter","DUPLICATES_PREVIEW_DESC_1":"Datablist listar de dubbletter som hittats så att du kan bestämma vilken åtgärd som ska utföras.","DUPLICATES_PREVIEW_DESC_2":"Öppna dubblettposterna i detaljpanelen för att redigera och slå samman information. Eller ta helt enkelt bort dubbletterna.","DUPLICATES_AUTO_MERGING_TITLE":"Slå samman icke-konfliktande dubbletter automatiskt","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist hittar automatiskt alla dubblettvärden som kan slås samman utan att förlora information.","DUPLICATES_AUTO_MERGING_BULLET_1":"När alla dubblettposter har samma fältvärden behålls endast en post och de andra raderas.","DUPLICATES_AUTO_MERGING_BULLET_2":"Om dubblettposterna är kompletterande väljs posten med mest information som primärpost och dess fältvärden fylls på med värden från de andra posterna. Därefter raderas alla poster utom primärposten.","DUPLICATES_AUTO_MERGING_BULLET_3":"Om dubblettposter har konfliktande fältvärden hoppas de över för manuell sammanslagning.","MERGING_ASSISTANT_TITLE":"Eller granska konfliktande värden manuellt med sammanslagningsassistenten","MERGING_ASSISTANT_DESC_1":"När automatisk sammanslagning inte är möjlig använder du Datablists sammanslagningsassistent för att välja vilket värde som ska behållas och konsolidera dina poster.","MERGING_ASSISTANT_DESC_2":"Posten med mest information väljs som huvudpost och får kompletterande värden från sekundära poster.","DUPLICATES_DEDUPE_TITLE":"Lättanvänt DeDupe-verktyg","DUPLICATES_DEDUPE_DESC_0":"Dagens dedupliceringsverktyg riktar sig till tekniska användare. De är svåra att använda med oändliga konfigurationsinställningar.","DUPLICATES_DEDUPE_DESC_1":"Med Datablist blir datamanipulation enkelt! Deduplicering av data är äntligen tillgängligt för alla.","DUPLICATES_DEDUPE_DESC_2":"Deduplicera hundratusentals poster direkt i din webbläsare.","DUPLICATES_AUTO_MERGE_TITLE":"Automatisk sammanslagning vid import","DUPLICATES_AUTO_MERGE_DESC_1":"Utöver Duplicates Finder kan du aktivera inställningen 'Unika värden' på dina samlingsfält.","DUPLICATES_AUTO_MERGE_DESC_2":"Vid dataimport, när en post från den importerade filen redan finns i samlingen eller någon annanstans i filen, slås data samman eller tas bort enligt vald sammanslagningsmetod.","DATA_DEDUP_WHEN_TITLE":"När ska du använda deduplicering av data?","DATA_DEDUP_WHEN_MAIL_TITLE":"Deduplicering av e-postlistor","DATA_DEDUP_WHEN_MAIL_DESC_1":"Med tiden kommer flera källor att matas in i din e‑postlista. Med webbinariedeltagare, köpare, freemium‑användare osv. kan en emailadress förekomma flera gånger i din e‑postlista.","DATA_DEDUP_WHEN_MAIL_DESC_2":"Dubbletta emailadresser påverkar dina marknadsföringskampanjer med extra kostnader, spamliknande beteende och risken för frustration hos användare om de fortsätter få utskick efter att de avslutat prenumerationen på en kampanj.","DATA_DEDUP_WHEN_MAIL_LINK":"Hur du rensar en e‑postlista","DATA_DEDUP_WHEN_EXCEL_TITLE":"Deduplicering i Microsoft Excel","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets, Microsoft Excel och andra kalkylbladsverktyg erbjuder grundläggande dedupliceringsfunktioner. De markerar dubblettvärden i en kolumn eller tar bort dem. Använd Datablists automatiska sammanslagning och den manuella sammanslagningsassistenten för att hantera komplexa dubblettposter.","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist öppnar både CSV- och Excel-filer.","DATA_DEDUP_WHEN_EXCEL_LINK":"Hur du tar bort dubbletter i en Excel-fil","DATA_DEDUP_WHEN_LEAD_TITLE":"Deduplicering av leads och prospekt","DATA_DEDUP_WHEN_LEAD_DESC_1":"Inom B2B‑marknadsföring påverkar kvaliteten på din prospektdatabas resultaten av dina kampanjer. En smutsig datalista med <doc>dubblett‑leads</doc> ökar lagringskostnaderna, minskar effektiviteten i leadspårning och skapar frustration i säljteamet.","DATA_DEDUP_WHEN_LEAD_DESC_2":"Hantera dina <doc>lead generation</doc>-processer med Datablist. Eller importera dina CRM‑data eller leadlistor till Datablist för att rensa dem.","DATA_DEDUP_WHEN_LEAD_LINK":"Hur du deduplicerar leadlistor","DATA_DEDUP_WHEN_CSV_TITLE":"Deduplicera CSV-filer","DATA_DEDUP_WHEN_CSV_DESC_1":"Att rensa CSV‑data är tidskrävande. Data engineers använder programmeringsspråk som Python för att parsa och rensa CSV‑data. Datablist erbjuder ett No-Code‑verktyg för att utföra datarensning med dina <a1>CSV-filer</a1> för icke-tekniska användare. <a2>Öppna CSV‑filer med hundratusentals rader</a2> och deduplicera poster snabbt.","DATA_DEDUP_WHEN_CSV_LINK":"Hur du tar bort dubbletter i en CSV-fil","SEE_ALSO_CSV_EDITOR":"CSV-redigerare","SEE_ALSO_GUIDE_EXCEL":"Guide: Slå ihop dubblettrader i en Excel-fil utan att förlora data","SEE_ALSO_GUIDE":"Guide: Ta bort dubbletter i CSV","SEE_ALSO_GUIDE_LARGE_CSV":"Guide: Redigera stora CSV-filer online","SEE_ALSO_COMBINE":"Kombinera CSV-filer","LEAD_LIST_BUILDING":"Bygg, rensa och berika dina leadlistor","FIND_DUPLICATE_ONLINE_TITLE":"Hitta och ta bort dubbletter online","FIND_DUPLICATE_ONLINE_DESC_1":"Upptäck, slå samman och eliminera dubbletter i dina data direkt. Med ett användarvänligt webbgränssnitt har du enkel åtkomst från alla enheter, utan krångliga installationer.","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist använder avancerade algoritmer för att snabbt identifiera dubbletter, vilket sparar tid och förhindrar fel. Säg hejdå till manuella sökningar och välkomna ett strömlinjeformat workflow.","FUZZY_MATCHING_TITLE":"Deduplicering med fuzzy matchning","FUZZY_MATCHING_ONLINE_DESC_1":"Fuzzy‑dedupliceringsalgoritmer bestämmer avståndet mellan poster. Med en tröskel definierar du när två poster är lika. Till skillnad från exakt matchning identifierar <0>fuzzy matchning</0> intelligenta variationer, och hanterar stavfel, förkortningar och små skillnader i dina poster.","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist implementerar <0>Levenshtein</0> och <1>Jaro‑Winkler</1>-avståndsalgoritmerna.","CONSOLIDATE_DUPES_TITLE":"Konsolidera dubbletter för att behålla en enda post","CONSOLIDATE_DUPES_DESC_1":"När en enkel sammanslagning inte räcker använder du de avancerade funktionerna: kombinera eller ta bort dubblettvärden för att konsolidera dina dubblettposter.","CONSOLIDATE_DUPES_DESC_2":"Datablist listar dina konfliktfält och låter dig välja hur du ska hantera dem. Använd Kombinera värden för datasammanfogning. Och Ta bort värden för att behålla värdet från en vald huvudpost.","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"Använd Datablists AI Agent för att skrapa vilken webbplats som helst, automatisera Google‑sökningar och extrahera strukturerad data med enkla prompts. Ingen kod krävs.","FAQ_Q1":"Är Duplicates Finder gratis att använda?","FAQ_A1":"Ja, du kan hitta och slå samman dubbletter online gratis. Grundfunktioner som exakt och smart matchning är tillgängliga utan konto. För avancerade algoritmer som fuzzy eller fonetisk matchning krävs en betald plan.","FAQ_Q2":"Hur skiljer det här sig från Excels 'Remove Duplicates'-funktion?","FAQ_A2":"Excel raderar permanent dubblettrader, vilket gör att du kan förlora potentiellt värdefull data från de posterna. Datablist slår samman poster och kombinerar intelligent kompletterande information från alla dubbletter till en enda komplett huvudpost. Du förlorar ingen data.","FAQ_Q3":"Hur stor lista kan jag deduplicera?","FAQ_A3":"Datablist är byggt för att hantera stora filer. Du kan bearbeta listor med upp till 1 miljon rader på gratisplanen och upp till 1,5 miljoner rader på våra betalda planer, långt över gränserna för traditionella kalkylbladsverktyg.","FAQ_Q4":"Kan den hitta dubbletter med stavfel eller små variationer?","FAQ_A4":"Absolut. Vårt verktyg använder avancerade fuzzy‑matchningsalgoritmer, som Levenshtein- och Jaro‑Winkler‑avstånd, för att identifiera liknande poster även med felstavningar eller små formateringsskillnader.","FAQ_Q5":"Hur hanteras fält med flera värden, till exempel två emails i en cell?","FAQ_A5":"Det är byggt för just det. Du kan aktivera \"Multiple Value Matching\" för att behandla varje värde i en cell (avgränsade med semikolon) som en separat post för jämförelse. Den hittar en träff om minst ett av värdena är en dubblett.","FAQ_Q6":"Kan jag hitta dubbletter över flera CSV- eller Excel-filer?","FAQ_A6":"Ja. Du kan importera flera filer till Datablist och köra Duplicates Finder över alla. Den kan matcha poster baserat på en gemensam identifierare, även om filerna har olika kolumner eller strukturer.","FAQ_Q7":"Behöver jag kunna koda för att använda det?","FAQ_A7":"Inte alls. Datablist är en helt no-code-lösning. Duplicates Finder guidar dig genom en enkel steg‑för‑steg‑process där du väljer dina kolumner och matchningsregler via ett användarvänligt gränssnitt.","FAQ_Q8":"Hur kan AI hjälpa till med att slå samman dubbletter?","FAQ_A8":"Vår AI Editing‑funktion ger dig obegränsad flexibilitet. Istället för standardregler för sammanslagning kan du skriva instruktioner på enkel engelska. Be till exempel att summera försäljningssiffror från dubblettposter eller välja huvudposten baserat på det senaste datumet. Det omvandlar komplex logik till en enkel begäran.","FAQ_Q9":"Vad händer med mina data när jag slår samman dubbletter?","FAQ_A9":"Datablist konsoliderar dina data till en enda huvudpost. Den fyller automatiskt i saknad information från andra dubbletter och ger alternativ för konfliktande data: du kan kombinera text från olika rader eller välja vilket värde som ska behållas. De redundanta posterna raderas sedan.","FAQ_Q10":"Vilka matchningsalgoritmer finns tillgängliga?","FAQ_A10":"Vi erbjuder flera algoritmer för olika behov: 'Exact' för identiska träffar, 'Smart' för variationer som ordföljd eller URL‑protokoll, 'Phonetic' för namn som låter lika och 'Fuzzy Matching' för stavfel och misskrivningar.","FAQ_Q11":"Kan jag exportera listan över dubblettgrupper för att granska dem innan sammanslagning?","FAQ_A11":"Ja. Efter att Datablist har identifierat alla dubblettgrupper kan du exportera dem till en CSV- eller Excel‑fil innan du gör några ändringar. Den här filen listar alla dubblettposter i följd, med varje grupp listad efter varandra, vilket gör det enkelt att granska dem externt eller bearbeta dem i ett annat verktyg.","FAQ_Q12":"När jag har slagit samman dubbletter i Datablist, hur uppdaterar jag mitt CRM?","FAQ_A12":"När du är klar med sammanslagningen tillhandahåller Datablist en nedladdningsbar 'Changes List'. Den här filen fungerar som en logg och visar varje post som uppdaterades eller raderades under processen. Du kan använda filen för att enkelt replikera ändringarna i ditt externa system, till exempel ett CRM, så att dina data förblir perfekt synkade."},"CSVEditor":{"PAGE_TITLE":"Gratis online CSV-editor och visare","PAGE_DESC":"En modern CSV-editor för att hantera dina CSV-filer online. Öppna och redigera dina data direkt i webbläsaren","HEADER_TITLE":"Online CSV-editor och visare","HEADER_DESC_1":"Utforska och redigera dina CSV-filer för leads, kunder eller produkter online.","NO_SIGNUP":"Ingen registrering krävs","ONLINE_100":"100 % online","NO_CODE_CONFIG":"No-code-konfiguration","CSV_DEF_TITLE":"Vad är en CSV-fil?","CSV_DEF_DESC_1":"CSV står för 'Comma Separated Value(s)' och är ett format för att lagra strukturerad data i textfiler. I en CSV-fil är varje rad en datapost, och varje post består av fält separerade med kommatecken (eller ibland semikolon ';' eller tabbtecken).","CSV_DEF_DESC_2":"CSV-filer är ett vanligt sätt att överföra data mellan applikationer. Eftersom det bygger på textfiler är CSV-formatet ett enkelt sätt att exportera data från databaser eller kalkylblad.","EDIT_TITLE":"Öppna CSV-filer online","EDIT_DESC_1":"Ladda upp dina CSV-filer direkt i din webbläsare. Datablist CSV Editor identifierar automatiskt kolumnavgränsaren i CSV-filen.","EDIT_DESC_2":"Välj vilka CSV-kolumner som ska importeras och ange datatyper: Text, LongText, Datum, Tal, emailadress, etc.","EDIT_DESC_3":"När de har importerats kan du använda Datablist för att sortera på valfri egenskap och filtrera dina data med fulltextsökning.","DATA_MANIP_TITLE":"Rensa och konsolidera dina CSV-filer","DATA_MANIP_DESC":"Sluta använda Excel eller Google Sheets för datamanipulation 😱!","WHY_USE_CSV_TITLE":"Varför använda Datablists CSV-editor?","WHY_USE_CSV_BLOC_TITLE_1":"Rensa din mailinglista","WHY_USE_CSV_BLOC_DESC_1":"Emaillistor är ett perfekt sätt att nå din användarbas. Men med tiden blir en lista rörig. Förbättra leveransbarheten och spara pengar med Datablist. Ta enkelt bort dubletter och ogiltiga emailadresser.","WHY_USE_CSV_BLOC_TITLE_2":"Hantera dina produktkataloger","WHY_USE_CSV_BLOC_DESC_2":"Alla e-handelsverktyg stöder import/export av produktkataloger med CSV-filer. Oavsett om du vill rensa din produktkatalog innan du skickar den till Google Shopping, eller konsolidera flera butiker till en gemensam samling, är Datablist anpassat för hantering av listningar.","WHY_USE_CSV_BLOC_TITLE_3":"Berika dina leads","WHY_USE_CSV_BLOC_DESC_3":"Har du en prospektlista som du vill berika med emailadresser, befattningar, LinkedIn-profiler etc.? CRM-verktyg är utmärkta för att spåra och berika leads när de har visat intresse. Men för prospect list building och lead scoring i stor skala finns det begränsningar. Datablist är ett perfekt verktyg för att spåra prospekt.","WHY_USE_CSV_BLOC_TITLE_4":"Spåra dina SEO-nyckelord","WHY_USE_CSV_BLOC_DESC_4":"Bygger du en SEO-strategi? Använd Datablist för att spara dina SEO-nyckelord, lista dina konkurrenter, analysera månatlig sökvolym och svårighetsgrad för nyckelord. Skriv ner idéer till blogginlägg och följ konkurrenters blogginlägg att bevaka.","CSV_CLEANER_TITLE":"CSV-rensare","CSV_CLEANER_DESCRIPTION":"CSV-filer kan vara benägna att innehålla fel, inkonsekvenser och formateringsproblem, vilket gör dem svåra att arbeta med och analysera. CSV-rensning innebär att upptäcka och åtgärda dessa problem i en CSV-fil så att datan blir korrekt, konsekvent och rätt formaterad.","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSV-deduplicering","CSV_CLEANER_TITLE_BLOC_DESC_1":"Deduplicering av data är en viktig del av CSV-rensning. Med Datablist Duplicates Finder kan du jämföra data baserat på alla tillgängliga kolumner eller välja specifika kolumner för jämförelse. Med sin avancerade algoritm kan verktyget snabbt skanna även stora dataset och identifiera dubletter på några sekunder. Förutom att identifiera dubbla poster i dina CSV-filer erbjuder Datablist Duplicates Finder en kraftfull sammanslagningsfunktion. Den konsoliderar dubbla poster till en enda, korrekt post.","CSV_CLEANER_TITLE_BLOC_TITLE_3":"Konvertera datatyper","CSV_CLEANER_TITLE_BLOC_DESC_3":"Att konvertera datatyper är en vanlig uppgift vid CSV-rensning. Det säkerställer noggrannhet och konsekvens genom att omvandla datavärden till standardiserade format. Med datatypkonvertering kan du ändra formatet på värden i din CSV för att matcha specifika datatyper, såsom DateTime, Tal eller boolesk. Datatypkonvertering är viktigt för att filtrera din CSV och omvandla din strängdata till standardiserade format som kan importeras till andra verktyg.","CSV_CLEANER_TITLE_BLOC_TITLE_6":"Rensa HTML-taggar och ta bort symboler","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablist har ett inbyggt rensningsverktyg för att konvertera HTML-kod med taggar till vanlig text. Andra rensningsverktyg inkluderar att ta bort emojis och symboler från texter samt att ta bort onödiga blanksteg. Med alla dessa rensningsverktyg kan du förbättra läsbarhet och användbarhet i dina data. Genom att ta bort onödigt brus och symboler blir dina data tydligare och mer koncisa.","CSV_CLEANER_TITLE_BLOC_TITLE_7":"Sök och ersätt","CSV_CLEANER_TITLE_BLOC_DESC_7":"Verktyget 'Sök och ersätt' är perfekt för datarensning. Sök efter specifika värden eller mönster och ersätt dem med korrekta eller önskade värden. Det hjälper till att rätta stavfel, formateringsinkonsekvenser eller andra inmatningsfel som kan förekomma i dina data. Använd det för standardisering av dina data. Sök efter olika varianter eller format av ett specifikt värde och ersätt dem med ett standardiserat format.","CSV_MANIPULATION_TITLE":"Ett kraftfullt verktyg för CSV-manipulation","CSV_MANIPULATION_BLOC_TITLE_1":"Bulk Edit","CSV_MANIPULATION_BLOC_DESC_1":"Datablist Bulk Edit förenklar CSV-rensningsprocessen. Gör ändringar i flera objekt på en gång. Tillämpa ändringar på hela samlingar, redigera filtrerade objekt eller bulkredigera valda objekt. Det är ett mycket effektivt verktyg för att hantera och uppdatera stora dataset. Med Datablist Bulk Edit kan du standardisera dina data. Använd konsekvent formatering och värden för alla relevanta poster.","CSV_MANIPULATION_BLOC_TITLE_2":"Skriv JavaScript-kod för datamanipulation","CSV_MANIPULATION_BLOC_DESC_2":"JavaScript är ett kraftfullt språk som kan användas direkt i Datablist för att rensa dina data. En av de stora fördelarna med att använda JavaScript för CSV-rensning är flexibiliteten. Kalkylbladsverktyg använder formler som kan bli komplexa och långsamma. Med JavaScript kan du skapa skript som utför allt från enkel formatering och datatypkonvertering till mer avancerade datatransformationer och analyser.","CSV_MANIPULATION_BLOC_TITLE_3":"Dela upp och slå samman CSV-kolumner","CSV_MANIPULATION_BLOC_DESC_3":"Att dela upp och slå samman CSV-kolumner är en användbar teknik för CSV-rensning. Det hjälper dig att strukturera och organisera dina data på ett mer meningsfullt sätt. Om du till exempel har en enda kolumn som innehåller flera datavärden separerade av en avgränsare, till exempel ett kommatecken eller ett semikolon, kan du dela upp kolumnen i flera kolumner baserat på avgränsaren.","CSV_MANIPULATION_TITLE_4":"Samkör dina data från flera CSV-filer","CSV_MANIPULATION_DESC_4":"Samkörning av data är enkelt med Datablist. Importera dina datakällor till flera samlingar. Välj sedan gemensamma identifierare mellan listorna för att slå ihop dem. Datablist har alternativen 'FULL OUTER JOIN' och 'LEFT OUTER JOIN' för join. Du kan konfigurera hur motstridig data ska slås samman. Hoppa över eller slå samman den importerade datan.","CSV_ONLINE_EDITOR":"En online men ändå kraftfull CSV-editor","CSV_ONLINE_EDITOR_DESC_1":"Andra online-CSV-editorer erbjuder bara enkla funktioner för att öppna och visa CSV-filer – och oftast är de fullproppade med annonser. Datablist är en online CSV-editor som ändå ger kraftfulla funktioner för att öppna stora CSV-filer utan att installera någon app på din dator. Den utnyttjar webbläsarens kapacitet för att lagra och bearbeta data.","CSV_ONLINE_EDITOR_DESC_2":"Du kan skapa en ny CSV-fil från grunden, parsa externa CSV-filer eller öppna Excel-filer. När de är öppnade använder du det inbyggda filter- och sorteringsverktyget för att utforska dina data. Eller rensa och redigera dina CSV-data. All datamanipulation är tillgänglig via ett lättanvänt gränssnitt direkt i din webbläsare.","CROSS_OS_TITLE":"En CSV-editor för Windows, Mac OS och Linux","CROSS_OS_DESC_1":"Datablist CSV Editor är kompatibel med alla plattformar och operativsystem. Öppna dina CSV-filer online på Microsoft Windows, Mac OS och Linux","CROSS_OS_DESC_2":"Genom att utnyttja kraften i moderna webbläsartekniker river vår app plattformsbarriärer. Dina data läses in i en lokal databas som körs i din webbläsare. Med Molnsynkronisering håller Datablist dina data synkade i molnet och mellan dina teammedlemmar.","PARSE_ONLINE_TITLE":"Parsa och ändra CSV-filer online","PARSE_ONLINE_DESC_1":"Parsa och ändra CSV-filer online med vår intuitiva app, med blixtsnabb prestanda. Parsa, extrahera och organisera data från dina CSV- och Excel-filer, allt i ett användarvänligt webbgränssnitt.","PARSE_ONLINE_DESC_2":"Säg hej då till komplexa installationer eller kompatibilitetsproblem. Datablist säkerställer smidig CSV-parsning från vilken enhet som helst med internetuppkoppling.","PARSE_ONLINE_DESC_3":"Datablist parsar stora CSV-filer på några sekunder så att du snabbt kan börja få värdefulla insikter.","PARSE_ONLINE_DESC_4":"Ändra dina CSV-data direkt i Datablist och exportera till CSV eller Microsoft Excel-format.","SEE_ALSO":"Se även","DATA_EDITOR":"Online dataeditor","DATA_EDITOR_DESC":"Kraftfull online-dataeditor för att hantera och manipulera olika dataformat utöver CSV-filer.","DUPLICATES_REMOVER":"Dublettrensare","DUPLICATES_REMOVER_DESC":"Avancerat verktyg för att upptäcka och ta bort dubletter med fuzzy-matchning och sammanslagningsmöjligheter.","COMBINE_CSV":"Kombinera CSV-filer","COMBINE_CSV_DESC":"Slå ihop och konsolidera flera CSV-filer med hjälp av gemensamma identifierare och join-operationer.","EMAIL_CLEANING":"Rensning av email-listor","EMAIL_CLEANING_DESC":"Rensa och validera email-listor för att förbättra leveransbarhet och minska bounce rate.","WHY_USE_CSV_BLOC_LINK_1":"Hur du rensar en email-lista","PROSPECT_LIST_BUILDING":"Prospect list building","GUIDE_DATA_CLEANING":"Läs vår guide om datarensning","INVENTORY_MANAGEMENT_LINK":"Hantera lager och leverantörsflöden för din onlinebutik","DUPLICATES_FINDER_LINK":"Hitta och slå samman dubbla poster","AI_EDITING_LINK":"Skapa datatransformationsskript med AI"},"DataEditor":{"PAGE_TITLE":"Online dataeditor ","PAGE_DESC":"Kraftfull online dataeditor för hantering av CSV, Excel och strukturerade data. Rensa, redigera och transformera dina data med avancerade verktyg och ett no-code-gränssnitt.","HEADER_TITLE":"Online dataeditor","HEADER_DESC_1":"Hantera dina data med en kraftfull onlineeditor som kombinerar enkelheten i kalkylark med databaskapacitet.","HEADER_DESC_2":"Importera CSV- och Excel-filer, städa dina data och exportera resultat - direkt i din webbläsare.","NO_SIGNUP":"Ingen registrering krävs","ONLINE_100":"100 % online","EASY_TO_USE":"Lätt att använda","WHAT_IS_TITLE":"Vad gör Datablist annorlunda?","WHAT_IS_DESC":"Kalkylarksverktyg är begränsade när man arbetar med datalistor. Till skillnad från databaser har de ingen datastruktur eller begränsningar. Datablist tillför databaskapacitet samtidigt som användarvänligheten från kalkylark behålls. Perfekt för datastädning, lead management och operationer på strukturerad data.","EDIT_TITLE":"Importera och redigera dina datafiler","EDIT_DESC_1":"Ladda upp CSV- och Excel-filer direkt i din webbläsare. Datablist identifierar automatiskt kolumntyper och datastruktur.","EDIT_DESC_2":"Definiera datatyper för varje kolumn: Text, Email, Tal, Datum, URL och mer.","EDIT_DESC_3":"Sortera, filtrera och sök i dina data med kraftfulla verktyg designade för stora datamängder.","EDIT_DESC_4":"All bearbetning sker lokalt i din webbläsare för maximal hastighet och integritet.","DATA_MANIP_TITLE":"Avancerad datahantering","DATA_MANIP_DESC":"Gå bortom grundläggande kalkylarksoperationer med kraftfulla verktyg för datastädning och konsolidering.","DATA_MANIP_BLOC_DUPLICATES_TITLE":"Hitta och slå samman dubbletter","DATA_MANIP_BLOC_DUPLICATES_DESC":"Avancerad dubblettdetektering med fuzzy matching, fonetiska algoritmer och smart sammanslagning utan dataförlust.","DATA_MANIP_BLOC_CONSO_TITLE":"Kombinera flera filer","DATA_MANIP_BLOC_CONSO_DESC":"Slå ihop CSV-filer med gemensamma identifierare med JOIN-operationer som i databaser.","DUPLICATES_LINK":"Läs mer om att ta bort dubbletter","COMBINE_LINK":"Guide för att kombinera CSV-filer","NOCODE_TITLE":"No-code dataoperationer","NOCODE_DESC_1":"Utför komplexa dataoperationer utan att skriva kod. Använd intuitiva gränssnitt för datastädning, transformering och berikning.","NOCODE_DESC_2":"Inbyggda verktyg för bulkredigering, find & replace, datatypskonvertering och mer.","PRODUCTIVITY_TITLE":"Öka din produktivitet","PRODUCTIVITY_DESC":"Arbeta snabbare med kortkommandon, bulkoperationer och strömlinjeformade workflows utformade för dataexperter.","PRODUCTIVITY_BULLET_1":"Kopiera och klistra in från vilket kalkylbladsverktyg som helst","PRODUCTIVITY_BULLET_2":"Kortkommandon för avancerade användare","PRODUCTIVITY_BULLET_3":"Bulkredigera flera poster samtidigt","PRODUCTIVITY_BULLET_4":"Ångra/gör om för säkra dataoperationer","FEATURES_TITLE":"Databasdrivna funktioner","DATABASE_FEATURES_TITLE":"Datastruktur och begränsningar","DATABASE_FEATURES_DESC":"Definiera datatyper, unika begränsningar och valideringsregler. Säkerställ datakvalitet med inbyggd validering.","EDITING_FEATURES_TITLE":"Avancerade redigeringsverktyg","EDITING_FEATURES_DESC":"Bulkredigering, find & replace med regex, datatypskonvertering och JavaScript-skriptning för komplexa transformationer.","SEARCH_FEATURES_TITLE":"Kraftfull sökning","SEARCH_FEATURES_DESC":"Fulltextsökning över alla kolumner, med omedelbara resultat även på stora datamängder.","FILTER_FEATURES_TITLE":"Avancerad filtrering","FILTER_FEATURES_DESC":"Skapa komplexa filtervillkor med AND/OR-logik, spara filter och arbeta med filtrerade delmängder.","CLEANING_TITLE":"Verktygslåda för datastädning","BULK_EDIT_TITLE":"Bulkredigering","BULK_EDIT_DESC":"Redigera flera poster samtidigt med bulkoperationer: ändra skiftläge, lägg till prefix/suffix, ta bort symboler, konvertera HTML till text och mer.","BULK_EDIT_LINK":"Dokumentation för bulkredigering","DATA_TYPES_TITLE":"Konvertering av datatyper","DATA_TYPES_DESC":"Konvertera text till tal, datum, kryssrutor. Tolka Unix-tidsstämplar, normalisera talformat och säkerställ datakonsekvens.","DATA_TYPES_LINK":"Guide för datakonvertering","JAVASCRIPT_TITLE":"JavaScript-skriptning","JAVASCRIPT_DESC":"Skriv egen JavaScript-kod för komplexa datatransformationer. Anropa externa API:er och skapa anpassade workflows.","JAVASCRIPT_LINK":"JavaScript-dokumentation","FIND_REPLACE_TITLE":"Find & Replace","FIND_REPLACE_DESC":"Avancerad find & replace med reguljära uttryck, alternativ för skiftlägeskänslighet och matchning av hela ord.","FIND_REPLACE_LINK":"Guide för find & replace","EXPORT_TITLE":"Exportera dina rensade data","EXPORT_DESC":"Exportera till CSV- eller Excel-format med valfria avgränsare och teckenkodning. Perfekt för import i andra verktyg eller för att dela med ditt team.","SEE_ALSO":"Relaterade verktyg","CSV_EDITOR":"CSV-editor","CSV_EDITOR_DESC":"Specialiserad CSV-editor med avancerade funktioner för filer med kommaseparerade värden.","DUPLICATES_REMOVER":"Dubblettborttagare","DUPLICATES_REMOVER_DESC":"Avancerad dubblettdetektering och borttagning med fuzzy matching-algoritmer.","COMBINE_CSV":"Kombinera CSV-filer","COMBINE_CSV_DESC":"Slå ihop flera CSV-filer med JOIN-operationer i databasstil.","ENRICHMENTS":"Databerikning","ENRICHMENTS_DESC":"Berika dina data med externa API:er för företagsinformation, validering av email och mer."},"ToolsCommon":{"HOME":"Hem","BREADCRUMB_NAV":"Brödsmulor","BREADCRUMB_TITLE":"Verktyg","OPEN_TOOL":"Öppna verktyg","OTHER_TOOLS_TITLE":"Andra verktyg","RELATED_TOOLS_TITLE":"Relaterade verktyg","UI":{"BROWSE":"Bläddra","CLEAR":"Rensa","COPIED":"Kopierad","COPY_CSV":"Kopiera CSV","DOWNLOAD_CSV":"Ladda ner CSV","INPUT":"Indata","OUTPUT_PREVIEW":"Förhandsvisning av utdata","PREVIEW":"Förhandsvisning","REPLACE":"Ersätt","SETTINGS":"Inställningar","SPLIT_MODE":"Delningsläge","UPLOAD_CSV_FILE":"Ladda upp en CSV-fil","UPLOAD_JSON_FILE":"Ladda upp en JSON-fil"},"TOOLS":{"JSON_TO_CSV":{"NAME":"JSON till CSV-konverterare","DESCRIPTION":"Konvertera nästlad JSON, API-svar, blandade arrayer och payloads med många objekt till en ren CSV med identifiering av radnoder, selektiv flattening och avancerade parseringskontroller."},"CSV_DIFF":{"NAME":"CSV Diff Tool","DESCRIPTION":"Jämför två CSV-filer online, matcha rader med id eller email, upptäck tillagda, borttagna, ändrade och oförändrade rader, och ladda ner en strukturerad diff-CSV."},"CSV_ROWS_SPLITTER":{"NAME":"CSV-raddelare","DESCRIPTION":"Dela upp celler med flera värden i separata rader. Ladda upp en CSV, välj kolumn och avgränsare, och expandera taggar, emails eller telefonnummer till ett värde per rad."},"CSV_SPLITTER":{"NAME":"CSV-delare","DESCRIPTION":"Dela en CSV efter rader, filstorlek, kolumnvärden, regler eller datumintervall. Förhandsgranska resultatet, behåll bara de kolumner du behöver, och ladda ner resultatet som CSV eller ZIP."}},"ENRICHMENT_WAIT":{"PHASES":{"VALIDATING":"Kontrollerar dina uppgifter…","PREPARING":"Förbereder din begäran…","STARTING":"Startar din uppgift…","PROCESSING":"Bearbetar dina data…","CONTINUING":"Arbetet pågår fortfarande. Resultaten visas automatiskt här."},"REASSURANCE":"Håll den här fliken öppen för att se resultaten så snart de är klara. Om du lämnar sidan kan du återvända i den här webbläsaren inom 24 timmar.","PROGRESS_LABEL":"Bearbetar din begäran","RUNNING_TITLE":"Bearbetar · Datablist","READY_TITLE":"Resultaten är klara · Datablist","ATTENTION_TITLE":"Uppgiften kräver din uppmärksamhet · Datablist","SAMPLE":{"REASSURANCE":"Den här provkörningen använder inga krediter.","PROGRESS_LABEL":"Förbereder exempelresultat","RUNNING_TITLE":"Exempelresultaten laddas · Datablist","READY_TITLE":"Exempelresultaten är klara · Datablist"}},"ENRICHMENT_OPTIONS":{"LOADING":"Laddar alternativ…","LOAD_FAILED":"Alternativen kunde inte laddas. Ladda om sidan och försök igen.","UNAVAILABLE":"Extra alternativ är inte tillgängliga just nu. Verktyget använder standardinställningarna."}},"ToolsPage":{"PAGE_TITLE":"Datablist Tools","PAGE_DESC":"Utforska Datablist-verktyg för JSON, CSV och arbetsflöden med stökig data, inklusive CSV diff och avancerad konvertering från JSON till CSV för stora och röriga exporter.","CATEGORY":"Datablist Tools","HEADER_TITLE":"Snygga verktyg för ful data","HEADER_DESC":"En växande uppsättning fokuserade verktyg för JSON, CSV och stökig data från verkligheten. Varje verktyg är utformat som en produkt, inte som ett tillfälligt formulär.","ITEMLIST_NAME":"Datablist Tools","ITEMLIST_DESC":"En samling Datablist-verktyg för JSON, CSV och arbetsflöden för datakonvertering.","LISTING":{"FILES":{"TITLE":"Rensa och omvandla filer","CARDS":{"JSON_TO_CSV":{"DESCRIPTION":"Omvandla nästlad JSON eller API-svar till en ren CSV-fil."},"CSV_DIFF":{"DESCRIPTION":"Jämför två CSV-filer och exportera tillagda, borttagna eller ändrade rader."},"CSV_ROWS_SPLITTER":{"DESCRIPTION":"Dela upp CSV-celler med flera värden till en rad per värde."},"CSV_SPLITTER":{"DESCRIPTION":"Dela upp en CSV-fil efter rader, storlek, värden, regler eller datumintervall."}}},"LEADS":{"TITLE":"Hitta och förbered leads","CARDS":{"DOMAIN_FINDER":{"TITLE":"Hitta företagsdomäner","DESCRIPTION":"Hitta webbdomäner från en lista med företagsnamn."},"SALES_NAVIGATOR_SCRAPER":{"TITLE":"Sales Navigator Scraper","DESCRIPTION":"Förhandsgranska leads från en sök-URL i Sales Navigator eller LinkedIn."},"EMAIL_FINDER":{"TITLE":"Email finder för jobbmejl","DESCRIPTION":"Hitta en jobbmejladress med hjälp av ett namn och företag eller en LinkedIn-profil."},"COMPANY_NAME_CLEANER":{"TITLE":"Rensa företagsnamn","DESCRIPTION":"Ta bort bolagssuffix, korrigera stora och små bokstäver och markera dubbletter."},"INSTAGRAM_FOLLOWER_SCRAPER":{"TITLE":"Instagram Follower Scraper","DESCRIPTION":"Förhandsgranska ett urval av följare från en URL eller ett användarnamn för en Instagram-profil."},"LINKEDIN_PROFILE_SCRAPER":{"TITLE":"Gratis LinkedIn Profile Scraper","DESCRIPTION":"Gratis LinkedIn profile scraper online. Klistra in valfri profil-URL och extrahera upp till 40 offentliga datapunkter utan kostnad. Ingen inloggning, inga cookies och inget sessions-ID krävs."}}}},"KEYWORDS":["datablist tools","json tools","csv tools","json to csv tools","csv diff tool","csv splitter tool","data conversion tools"]},"ToolsJsonToCsv":{"PAGE_TITLE":"JSON till CSV-konverterare","PAGE_DESC":"Gratis online JSON till CSV-konverterare för nästlad JSON, stora filer, API-svar och komplexa exporter. Välj row nodes, platta ut objekt, förhandsgranska resultatet och ladda ner CSV direkt i din webbläsare.","SCHEMA_NAME":"Datablist JSON till CSV-konverterare","SCHEMA_DESC":"Gratis online JSON till CSV-konverterare för nästlad data, stora filer, identifiering av row nodes, kontroller för flattening och bearbetning i webbläsaren.","TOOL":{"EMPTY_SOURCE_LABEL":"Klistra in JSON eller ladda upp en fil","ERROR_MISSING_SOURCE":"Klistra först in en JSON payload eller ladda upp en JSON-fil.","NO_PREVIEW_DESC":"Ladda upp en JSON-fil eller klistra in JSON för att skapa en CSV-förhandsvisning.","NO_PREVIEW_TITLE":"Ingen förhandsvisning än","OVERLAY_DESC":"Filen kommer att tolkas lokalt och förhandsvisas direkt.","OVERLAY_TITLE":"Släpp din JSON-fil här","PASTE_LABEL":"Klistra in JSON","PASTED_LABEL":"Inklistrad JSON","STATUS_COLUMNS_REFRESHED":"Kolumner uppdaterade","STATUS_FAILED":"Konverteringen misslyckades","STATUS_PARSING":"Tolkar JSON","STATUS_PREVIEW_READY":"Förhandsvisning klar","STATUS_PREVIEW_UPDATED":"Förhandsvisning uppdaterad","STATUS_REFRESHING_COLUMNS":"Uppdaterar identifierade kolumner","STATUS_UPDATING_PREVIEW":"Uppdaterar CSV-förhandsvisning","STATUS_WAITING":"Väntar på inmatning","SUBMIT_LABEL":"Konvertera JSON","UI":{"CHAR_COUNT":"{count} tecken","JSON_PARSING":"JSON-tolkning","PARSING_SIMPLE_DESC":"Standardtolkningen fungerar för denna JSON. Öppna endast om du vill anpassa den.","PARSING_COMPLEX_DESC":"Komplex JSON har identifierats. Granska identifieringen av rader och kolumner före export.","ROW_NODES":"Radnoder","NODE_OPTION":"{path} · {count} rader","RECOMMENDED_SUFFIX":" · rekommenderas","ROW_NODES_HELP":"Om fel array har valts kan du byta den här innan du redigerar kolumnerna.","FLATTEN_OBJECTS":"Platta ut nästlade objekt","FLATTEN_OBJECTS_DESC":"Gör `data.name` till en egen CSV-kolumn.","OBJECTS_TO_FLATTEN":"Objekt att platta ut","OBJECTS_TO_FLATTEN_DESC":"Välj vilka nästlade objekt som ska delas upp i separata kolumner.","ARRAY_HANDLING":"Arrayhantering","ARRAY_HANDLING_DESC":"Bestäm hur arrayvärden ska skrivas i CSV-filen.","ARRAY_SEPARATOR":"Arrayavgränsare","ARRAY_FIELDS":"Konfigurera varje arrayfält","ARRAY_FIELDS_DESC":"Välj hur varje identifierad arraykolumn ska exporteras.","ARRAY_JOIN":"Sammanfoga poster","ARRAY_JSON":"Konvertera till JSON-sträng","ARRAY_CASE_BY_CASE":"Från fall till fall","ARRAY_KEEP_FIRST":"Behåll den första","DETECTED_COLUMNS":"Identifierade kolumner","DETECTED_COLUMNS_DESC":"Granska JSON-sökvägen, byt namn på rubriker eller uteslut kolumner före export.","COLUMN_COUNT":"{visible} synliga / {total} totalt","CSV":"CSV","CSV_DESC":"Styr hur den exporterade CSV-filen formateras.","CSV_SEPARATOR":"CSV-avgränsare","CSV_SEPARATOR_DESC":"Välj avgränsaren som används mellan kolumner.","SEPARATOR_COMMA":"Komma (,)","SEPARATOR_PIPE":"Lodstreck (|)","SEPARATOR_SEMICOLON":"Semikolon (;)","SEPARATOR_TAB":"Tabb (\\t)","CUSTOM":"Anpassad","ENTER_SEPARATOR":"Ange avgränsare","QUOTE_TYPE":"Typ av citationstecken","QUOTE_TYPE_DESC":"Välj hur fält omsluts när specialtecken behöver hanteras.","DOUBLE_QUOTE":"Dubbla citationstecken (\")","SINGLE_QUOTE":"Enkla citationstecken (')","INCLUDE_HEADER":"Inkludera rubrikrad","INCLUDE_HEADER_DESC":"Skriv kolumnnamnen på den första raden i CSV-filen.","DATE_FORMAT":"Format för datumutdata","DATE_FORMAT_DESC":"Formatera om identifierade ISO-liknande datum före export.","DATE_KEEP_ORIGINAL":"Behåll originalformatet","DATE_ISO":"ISO-datum (yyyy-MM-dd)","DATE_EUROPEAN":"Europeiskt (dd/MM/yyyy)","DATE_US":"Amerikanskt (MM/dd/yyyy)","DATE_TIME":"Datum och tid (yyyy-MM-dd HH:mm:ss)","DATE_READABLE":"Läsbart (MMM d, yyyy)","OUTPUT":"Resultat","COPY_CSV":"Kopiera CSV","COPIED":"Kopierat","COPY_FAILED":"Kopieringen misslyckades","DOWNLOAD_CSV":"Ladda ner CSV","TABLE_VIEW":"Tabellvy","RAW_CSV":"CSV-rådata","EMPTY_PREVIEW":"Ladda upp JSON eller klistra in den till vänster. Förhandsgranskningen visas här med den identifierade radkällan och reglerna för utplattning tillämpade.","PREVIEW_LIMIT":"Förhandsgranska upp till 100 rader. Ladda ner filen för att få hela CSV-filen.","ROWS":"Rader","COLUMNS":"Kolumner","ERRORS":"Fel"}},"KEYWORDS":["json to csv","json to csv converter free","json to csv online","nested json to csv","complex json to csv","json api response to csv","convert large json to csv","json to csv large file","convert big json file to csv","best json to csv converter","row nodes json to csv","extract nested array from json to csv","convert nested json array to csv","flatten nested json to csv","json converter","csv export","datablist tools"],"SEO_HERO_TITLE":"Klistra in din JSON. Få en ren CSV på några sekunder.","SEO_HERO_DESC":"En gratis JSON till CSV-konverterare online för filer som vanligtvis får enklare verktyg att fallera: nästlade objekt, blandade arrayer och stora payloads. Din data stannar på din egen enhet.","INTRO_TITLE":"JSON till CSV-konverterare för nästlade API-svar och komplexa exporter","INTRO_PARAGRAPHS":["De flesta verktyg fungerar bara om din JSON börjar med en platt array. Men data i verkligheten kommer ofta i stökiga format. API-svar, webhook-payloads, CRM-exporter och scrappade filer innehåller nästlade objekt, metadata och blandade strukturer. Vi byggde det här verktyget för att hantera just det.","Välj dina row nodes, markera vilka objekt som ska flattenas och ange regler för arrayer. Förhandsgranska sedan och ladda ner din CSV. Om du letar efter den bästa JSON till CSV-konverteraren för verklig data, så är det här verktyget byggt för just det jobbet."],"EXAMPLES":{"API":{"TITLE":"Exempel: Konvertera ett nästlat API-svar till CSV","DESCRIPTION":"Ofta fungerar JSON-roten som ett objekt och dina rader ligger gömda i en nästlad array som `results` eller `data`. Där enklare konverterare misslyckas identifierar vårt verktyg arrayen, flattenar strukturen och exporterar en ren CSV.","JSON_LABEL":"Nästlad JSON-indata","CSV_LABEL":"CSV-utdata"},"CONTACTS":{"TITLE":"Exempel: Extrahera en nästlad contacts-array","DESCRIPTION":"Vissa payloads innehåller flera arrayer. Du kanske vill ha parent records eller en djupare array som contacts. Använd väljaren för row nodes för att rikta in dig på exakt den array du behöver och exportera just de raderna.","JSON_LABEL":"JSON med flera arrayer","CSV_LABEL":"CSV-utdata för contacts"}},"PARSING_SETTINGS":{"TITLE":"Inställningar för JSON-parsing","ITEMS":[{"TITLE":"Row nodes","BODY":"Välj vilken array som ska bilda raderna i din CSV. Användbar data ligger sällan i roten. Om din JSON innehåller flera arrayer använder du den här inställningen för att välja rätt."},{"TITLE":"Flatten nested objects","BODY":"Expandera objekt som `company` eller `metrics` till individuella kolumner. Välj specifika objekt att flattena så att din CSV förblir organiserad och du undviker duplicerade fält."},{"TITLE":"Array handling","BODY":"Sammanfoga arrayer med en separator, formatera dem som JSON-strängar eller använd anpassade regler. Du kan slå ihop tags, lämna komplexa arrayer som JSON eller extrahera bara det första objektet från en lista."},{"TITLE":"Case-by-case array rules","BODY":"Använd specifika regler för olika arrayer. Sätt en regel för tags och en annan för contacts. Standardkonverterare behandlar varje array på samma sätt, men här får du exakt kontroll över din slutliga output."}]},"OUTPUT_SETTINGS":{"TITLE":"Inställningar för CSV-utdata","ITEMS":[{"TITLE":"Separator","BODY":"Exportera med kommatecken, semikolon, pipe, tabb eller en egen separator. Matcha exakt den avgränsare som ditt målsystem kräver."},{"TITLE":"Include header row","BODY":"Välj om din CSV ska innehålla kolumnnamn på första raden. Ta bort headers för att exportera råa datarader till en annan pipeline."},{"TITLE":"Date output format","BODY":"Formatera om datum innan du exporterar. Skapa en CSV som är redo för kalkylark eller BI-verktyg utan manuell redigering."},{"TITLE":"Preview before download","BODY":"Verifiera ditt val av row nodes, flattenade kolumner och array-regler i förhandsgranskningen innan du laddar ner filen."}]},"ROW_NODES":{"TITLE":"Välja rätt row nodes","PARAGRAPHS":["Att välja rätt array säkerställer en korrekt konvertering. JSON-filer innehåller ofta wrapper-objekt, metadata och nästlade arrayer. Enklare konverterare väljer den första array de hittar och returnerar därför ofta felaktig data.","Använd inställningen Row nodes för att välja din mål-array. Om du vill få en rad per företag väljer du parent record. Om du vill få en rad per kontakt väljer du child-arrayen.","Den här funktionen extraherar affärsdata från stökiga API-payloads, CRM-exporter och webhook-loggar."]},"LARGE_FILES":{"TITLE":"Konvertera stora JSON-filer till CSV","PARAGRAPHS":["Behöver du konvertera en stor JSON till CSV, eller hantera en stor JSON-fil som andra verktyg går bet på? Den här sidan är byggd med just det användningsfallet i åtanke.","Du kan arbeta med stora payloads, fortfarande granska en förhandsvisning av den genererade CSV-filen och sedan ladda ner hela exporten. Förhandsgranskningen hjälper dig att bekräfta row nodes, flattenade kolumner och array-regler innan du går vidare med den slutliga filen.","Om du sökte efter “convert large JSON to CSV”, “JSON to CSV large file” eller “convert big JSON file to CSV”, så är det exakt den typen av workflow det här verktyget är byggt för att hantera."]},"PRIVACY":{"TITLE":"JSON till CSV online, utan att skicka iväg din data","PARAGRAPHS":["Det här är en JSON till CSV-konverterare online, men din fil laddas inte upp till en extern server för parsing. Bearbetningen sker lokalt i din webbläsare.","Det spelar roll när du arbetar med kundexporter, CRM-data, API-svar, interna loggar eller något annat som du helst inte vill skicka vidare bara för att konvertera det.","Kort sagt: det är snabbt, det är smidigt och det håller din data säkrare eftersom konverteringen stannar på din egen enhet."]},"USE_CASES_TITLE":"När du ska använda det här verktyget","USE_CASES":[{"TITLE":"Konvertera JSON API response till CSV","BODY":"Exportera data från API:er där posterna ligger i nästlade fält tillsammans med metadata."},{"TITLE":"Konvertera nästlad JSON till platta CSV-kolumner","BODY":"Gör om nästlade företagsdetaljer, adressblock och omsättningsdata till rena kalkylarkskolumner."},{"TITLE":"Extrahera nästlade arrayer från JSON","BODY":"Rikta in dig på och exportera djupare arrayer som contacts, line items eller events med hjälp av väljaren för row nodes."},{"TITLE":"Konvertera CRM- eller webhook-JSON-exporter till CSV","BODY":"Förbered exporter från HubSpot, interna API-payloads och webhook-loggar för Excel eller BI-verktyg."},{"TITLE":"Hantera arrayer olika i samma JSON-fil","BODY":"Slå ihop enkla tags, behåll det första objektet i en lista eller stringify komplexa strukturer i samma fil."},{"TITLE":"Förbered CSV för Excel, Sheets eller importer","BODY":"Justera separatorer, växla headers och formatera datum så att din CSV matchar målsystemet."},{"TITLE":"Konvertera stora JSON-filer utan att förlora överblicken","BODY":"Arbeta med stora JSON-filer, behåll en live preview av outputen och ladda ner hela CSV-filen när strukturen ser rätt ut."},{"TITLE":"Använd en gratis JSON till CSV-konverterare online","BODY":"Öppna sidan, klistra in eller ladda upp din JSON, granska resultatet och ladda ner CSV gratis utan att installera något."}],"FAQ_TITLE":"FAQ: konvertering av komplex JSON till CSV","FAQ_ITEMS":[{"QUESTION":"Är detta en gratis JSON till CSV-konverterare?","ANSWER":"Ja. Den här JSON till CSV-konverteraren är gratis att använda."},{"QUESTION":"Kan jag konvertera en nästlad JSON-fil till CSV?","ANSWER":"Ja. Välj rätt row nodes, markera vilka objekt som ska flattenas och exportera din data."},{"QUESTION":"Kan jag konvertera ett JSON API response till CSV när raderna ligger i en nästlad array?","ANSWER":"Ja. Välj den nästlade arrayen, ofta kallad `results`, `items` eller `data`, så bygger verktyget din CSV utifrån dessa poster."},{"QUESTION":"Vad gör inställningen Row nodes?","ANSWER":"Den avgör vilken array som bildar raderna i din CSV. Använd den för att gå förbi root-objekt och rikta in dig på exakt den data du behöver."},{"QUESTION":"Kan jag konvertera en stor JSON-fil till CSV?","ANSWER":"Ja. Verktyget är byggt för att hantera stora payloads samtidigt som du får en förhandsgranskning av den genererade CSV-filen innan du laddar ner hela filen."},{"QUESTION":"Kan jag välja vilka objekt som ska flattenas?","ANSWER":"Ja. Välj specifika objektsökvägar som ska expanderas till kolumner. Objekt som inte väljs förblir som JSON-strängar, vilket håller exporten ren."},{"QUESTION":"Är den här JSON till CSV-konverteraren online och säker?","ANSWER":"Ja. Den körs online i din webbläsare, men parsing och konvertering sker lokalt på din enhet i stället för att skickas till en server."},{"QUESTION":"Kan jag använda olika regler för olika arrayer?","ANSWER":"Ja. Använd case-by-case-läget för att sammanfoga, stringify eller reducera arrayer per fält."},{"QUESTION":"Vad gör detta till en av de bästa JSON till CSV-konverterarna?","ANSWER":"Det är byggt för de stökiga fall som människor faktiskt kämpar med: nästlad JSON, flera möjliga arrayer, selektiv flattening, regler per array, stora filer, live preview och lokal bearbetning för bättre integritet."}],"OTHER_TOOLS_DESC":"Behöver du ett annat verktyg efter att ha konverterat JSON? De här verktygen täcker närliggande data-workflows som strukturerad jämförelse och diffar anpassade för revision."},"ToolsCsvDiff":{"PAGE_TITLE":"CSV diff-verktyg","PAGE_DESC":"Gratis onlineverktyg för CSV-diff för att jämföra två CSV-filer, upptäcka tillagda, borttagna och ändrade rader, förhandsgranska skillnader på cellnivå, välja inställningar för join och nyckelkolumner samt ladda ner resultatet direkt i din webbläsare.","SCHEMA_NAME":"Datablist CSV Diff Tool","SCHEMA_DESC":"Gratis onlineverktyg för jämförelse av CSV-filer för tillagda, borttagna, ändrade och oförändrade rader, med bearbetning i webbläsaren och nedladdningsbar CSV-utdata för diffen.","TOOL":{"ERROR_MISSING_SOURCE":"Ladda upp båda CSV-filerna för att jämföra dem.","FILE_EMPTY_HELP":"Ladda upp eller släpp en fil","FILE_EMPTY_NAME":"Välj en CSV-fil","FILE_LOADED":"Inläst","HELP_TEXT":"Ladda upp två CSV-filer, välj hur raderna ska matchas och förhandsgranska sedan diffen här. Allt körs lokalt i din webbläsare.","ORIGINAL_FILE_DESC":"Den tidigare exporten, ögonblicksbilden eller baslinjefilen.","ORIGINAL_FILE_TITLE":"Ursprunglig CSV","OVERLAY_DESC":"Släpp först den ursprungliga filen och sedan den uppdaterade.","OVERLAY_TITLE":"Släpp dina CSV-filer här","STATUS_COMPARISON_FAILED":"Jämförelsen misslyckades","STATUS_FILES_READY":"Filerna är inlästa. Redo att jämföra.","STATUS_PREVIEW_READY":"Förhandsgranskningen är klar","STATUS_WAITING":"Ladda upp två CSV-filer för att förhandsgranska diffen.","SUBMIT_LABEL":"Jämför CSV-filer","UPDATED_FILE_DESC":"Den nyare exporten som du vill jämföra med originalet.","UPDATED_FILE_TITLE":"Uppdaterad CSV","UI":{"COLUMNS_MAPPING":"Kolumnmappning","MAP_COLUMNS_THAT_CONTAIN_THE_SAME_DATA_WHEN":"Mappa kolumner som innehåller samma data när de två CSV-filerna använder olika kolumnnamn.","ONLY_MAPPED_COLUMNS_ARE_USED_FOR_MATCHING_AND":"Endast mappade kolumner används för matchning och jämförelse. Omappade kolumner förblir synliga när du expanderar en rad.","ORIGINAL_COLUMN":"Ursprunglig kolumn","DO_NOT_COMPARE_THIS_COLUMN":"Jämför inte den här kolumnen","UNMAPPED_UPDATED_ONLY_COLUMNS":"Omappade kolumner som endast finns i den uppdaterade filen:","MATCHING":"Matchning","CHOOSE_HOW_ROWS_SHOULD_BE_MATCHED_BETWEEN_THE":"Välj hur rader ska matchas mellan den ursprungliga och den uppdaterade CSV-filen.","ROW_MATCHING_MODE":"Metod för radmatchning","USE_A_KEY_COLUMN_WHEN_BOTH_FILES_SHARE":"Använd en nyckelkolumn när båda filerna har en gemensam stabil identifierare. Använd jämförelse av hela raden när de inte har det.","AUTO_DETECT":"Identifiera automatiskt","SELECTED_KEY_COLUMN":"Vald nyckelkolumn","MULTIPLE_KEY_COLUMNS":"Flera nyckelkolumner","FULL_ROW_CONTENT":"Hela radens innehåll","CURRENT_MATCH_MODE":"Aktuell matchningsmetod:","KEY_COLUMN":"Nyckelkolumn","AUTO_DETECT_PREFERS_COLUMNS_LIKE_ID_EMAIL_SKU":"Automatisk identifiering prioriterar kolumner som id, email, sku eller gemensamma fält med mycket unika värden.","USE_DETECTED_SUGGESTION":"Använd identifierat förslag","MULTIPLE_KEYS":"Flera nycklar","COMBINE_SHARED_COLUMNS_WHEN_ONE_COLUMN_ALONE_IS":"Kombinera gemensamma kolumner när en kolumn inte är tillräckligt unik på egen hand.","JOIN_TYPE":"Join-typ","FULL_OUTER_JOIN_SHOWS_EVERYTHING_INNER_JOIN_SHOWS":"Full outer join visar allt. Inner join visar endast matchade rader. Left join använder de ursprungliga raderna som bas.","FULL_OUTER_JOIN":"Full outer join","INNER_JOIN":"Inner join","LEFT_JOIN":"Left join","COMPARISON":"Jämförelse","NORMALIZE_VALUES_BEFORE_DIFFING_TO_AVOID_NOISE_FROM":"Normalisera värden före jämförelsen för att undvika brus från ändringar som endast gäller formatering.","IGNORE_COLUMN_ORDER":"Ignorera kolumnordning","WHEN_ENABLED_COLUMNS_ARE_ALIGNED_BY_NAME_INSTEAD":"När detta är aktiverat justeras kolumner efter namn i stället för position.","COMPARE_COLUMNS_BY_NAME":"Jämför kolumner efter namn","IGNORE_WHITESPACE":"Ignorera blanksteg","TRIM_LEADING_AND_TRAILING_WHITESPACE_BEFORE_COMPARING_CELL":"Ta bort inledande och avslutande blanksteg innan cellvärden jämförs.","TREAT_EXTRA_SPACES_AS_UNCHANGED":"Betrakta extra blanksteg som oförändrade","IGNORE_CASE":"Ignorera skiftläge","USEFUL_WHEN_THE_SAME_VALUES_APPEAR_WITH_MIXED":"Användbart när samma värden förekommer med blandade versaler och gemener.","COMPARE_TEXT_CASE_INSENSITIVELY":"Jämför text utan hänsyn till skiftläge","EMPTY_AND_NULL_LIKE_VALUES":"Tomma och null-liknande värden","TREAT_EMPTY_STRINGS_NULL_UNDEFINED_AND_SIMILAR_PLACEHOLDER":"Betrakta tomma strängar, null, undefined och liknande platshållarvärden som likvärdiga.","NORMALIZE_EMPTY_AND_NULL_LIKE_VALUES":"Normalisera tomma och null-liknande värden","OUTPUT":"Resultat","CHOOSE_WHAT_TO_EXPORT_AND_HOW_THE_DOWNLOADABLE":"Välj vad som ska exporteras och hur den nedladdningsbara CSV-filen ska formateras.","OUTPUT_MODE":"Resultatformat","SUMMARY_KEEPS_ONE_ROW_PER_RECORD_CHANGED_ROWS":"Sammanfattningen behåller en rad per post. Ändrade rader fokuserar endast på redigeringar. Fullständig diff visar värden sida vid sida.","SUMMARY_CSV":"Sammanfattnings-CSV","CHANGED_ROWS_CSV":"CSV med ändrade rader","FULL_DIFF_CSV":"Fullständig diff-CSV","DOWNLOAD_SEPARATOR":"Avgränsare för nedladdning","CHOOSE_THE_DELIMITER_USED_IN_THE_DOWNLOADABLE_DIFF":"Välj avgränsaren som ska användas i den nedladdningsbara diff-CSV-filen.","INCLUDE_UNCHANGED_ROWS":"Inkludera oförändrade rader","KEEP_UNCHANGED_ROWS_IN_THE_DOWNLOADABLE_OUTPUT_WHEN":"Behåll oförändrade rader i den nedladdningsbara filen när du behöver en fullständig granskning post för post.","INCLUDE_UNCHANGED_ROWS_IN_EXPORT":"Inkludera oförändrade rader i exporten","INCLUDE_HEADER_ROW":"Inkludera rubrikrad","INCLUDE_COLUMN_HEADERS_IN_THE_DOWNLOADABLE_CSV":"Inkludera kolumnrubriker i den nedladdningsbara CSV-filen.","ADD_CSV_HEADER_ROW":"Lägg till CSV-rubrikrad","CSV_DIFF":"CSV-diff","DIFF_PREVIEW":"Förhandsgranskning av diff","DOWNLOAD_DIFFERENCES_CSV":"Ladda ner CSV med skillnader","DATA_TABLE":"Datatabell","CHANGED_ROWS":"Ändrade rader","SEARCH_VISIBLE_ROWS":"Sök i synliga rader","COMPARISON_ERROR":"Jämförelsefel","LARGE_CSV_FILES_STAY_IN_YOUR_BROWSER_WHILE":"Stora CSV-filer stannar i din webbläsare medan bakgrundsprocessen tolkar dem och beräknar skillnaderna.","PREVIEW_THE_CSV_DIFF_HERE":"Förhandsgranska CSV-diffen här","UPLOAD_TWO_CSV_FILES_CHOOSE_HOW_ROWS_SHOULD":"Ladda upp två CSV-filer, välj hur rader ska matchas, så visar tabellen tillagda, borttagna, ändrade och oförändrade rader.","NO_ROWS_MATCH_THE_CURRENT_PREVIEW_FILTER":"Inga rader matchar det aktuella förhandsgranskningsfiltret.","STATUS":"Status","ROW_NUMBER":"Radnummer","EXPLAIN_ROW_NUMBER_FORMAT":"Förklara radnummerformatet","KEY":"Nyckel","LOAD_MORE_ROWS":"Läs in fler rader","END_OF_CURRENT_RESULT_SET":"Slut på den aktuella resultatuppsättningen","WARNINGS":"Varningar","CHANGED":"Ändrad","ADDED":"Tillagd","REMOVED":"Borttagen","UNCHANGED":"Oförändrad","PROCESSING":"Bearbetar","ORIGINAL_SEPARATOR":"Ursprunglig avgränsare:","UPDATED_SEPARATOR":"Uppdaterad avgränsare:","MATCHED_BY":"Matchad efter:","ORIGINAL_ROWS":"Ursprungliga rader:","UPDATED_ROWS":"Uppdaterade rader:","SUMMARY":"Sammanfattning","MAPPED_COLUMNS":"Mappade kolumner:","UNMAPPED_COLUMNS":"Omappade kolumner:","DUPLICATE_KEY_ROWS_FLAGGED":"Rader med duplicerade nycklar markerade:","PREVIEW_COLUMNS":"Kolumner i förhandsgranskningen:","PARSING_ORIGINAL_CSV":"Tolkar ursprunglig CSV","PARSING_UPDATED_CSV":"Tolkar uppdaterad CSV","MATCHING_ROWS":"Matchar rader","COMPUTING_DIFFERENCES":"Beräknar skillnader","FILTER_ALL":"Alla","STATUS_ALL":"alla","FILTER_CHANGED":"Ändrade","STATUS_CHANGED":"ändrade","FILTER_ADDED":"Tillagda","STATUS_ADDED":"tillagda","FILTER_REMOVED":"Borttagna","STATUS_REMOVED":"borttagna","FILTER_UNCHANGED":"Oförändrade","STATUS_UNCHANGED":"oförändrade","COPIED":"Kopierat","COPY_FAILED":"Kopieringen misslyckades","COPY_DIFFERENCES_CSV":"Kopiera CSV med skillnader","FULL_ROW":"Hela raden","FULL_ROW_CONTENT_2":"hela radens innehåll","ROW_NUMBER_TOOLTIP":"Rad {original} : rad {updated}.","ORIGINAL_VALUE_HEADER":"{file} Ursprunglig","UPDATED_VALUE_HEADER":"{file} Uppdaterad","ROWS_CHANGED_PERCENT":"{percent}% av raderna har ändrats","NO_CELL_CHANGES":"Inga celländringar","NO_CHANGED_CELLS":"Inga ändrade celler.","SHOWING_ROWS":"Visar {visible} av {total} rader","SEPARATOR_OPTION_COMMA":"Komma (,)","SEPARATOR_COMMA":"Komma","SEPARATOR_OPTION_SEMICOLON":"Semikolon (;)","SEPARATOR_SEMICOLON":"Semikolon","SEPARATOR_OPTION_PIPE":"Lodstreck (|)","SEPARATOR_PIPE":"Lodstreck","SEPARATOR_OPTION_TAB":"Tabb (\\t)","SEPARATOR_TAB":"Tabb","ROW_ONLY_UPDATED":"Den här raden finns endast i den uppdaterade CSV-filen.","ROW_ONLY_ORIGINAL":"Den här raden finns endast i den ursprungliga CSV-filen.","COLUMN_NEW":"ny kolumn","COLUMN_DELETED":"borttagen kolumn","COLUMNS_CHANGED":"{count, plural, one {# kolumn ändrad} other {# kolumner ändrade}}","COLUMN_SAME":"samma"}},"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 online för riktig affärsdata","HERO_DESC":"Det här verktyget för CSV-jämförelse är byggt för gamla och nya exporter, CRM-ögonblicksbilder, produktkataloger och lead-listor. I stället för att visa en stökig textdiff rad för rad jämför det rader som data, hjälper dig att matcha rader via id eller email och markerar vilka celler som faktiskt har ändrats.","EXAMPLE":{"TITLE":"Exempel: jämför två CSV-exporter efter id","DESCRIPTION":"Detta är ett vanligt workflow för att jämföra en tidigare export med en nyare. En rad förblir oförändrad, en rad ändras, en försvinner och en ny rad tillkommer.","DIFF_LABEL":"Diffresultat"},"MATCHING":{"TITLE":"Jämför CSV-rader efter nyckelkolumn","PARAGRAPHS":["Det bästa sättet att jämföra två CSV-filer online är oftast att matcha rader med en stabil nyckel som `id`, `email`, `sku` eller `uuid`. Verktyget föreslår automatiskt en sannolik nyckelkolumn när det hittar en, men du kan ändra det, välja flera nyckelkolumner eller falla tillbaka på jämförelse av hela raden.","Detta är särskilt användbart när filer innehåller samma poster i olika ordning, eller när kolumner har ordnats om mellan exporter."]},"STATUSES":{"TITLE":"Tillagda, borttagna, ändrade och oförändrade rader","PARAGRAPHS":["Diff-resultatet delar upp rader i fyra praktiska statusar: tillagd, borttagen, ändrad och oförändrad. För ändrade rader visar förhandsgranskningen vilka kolumner som ändrats samt det gamla värdet jämfört med det nya.","Det gör verktyget mer användbart än en enkel textdiff för CSV-filer, särskilt när du behöver förklara vad som har ändrats för icke-tekniska team."]},"ADVANCED_TITLE":"Avancerade CSV diff-inställningar för mer exakt jämförelse","ADVANCED_DESC":"De flesta onlineverktyg för CSV diff stannar vid en enkel jämför-knapp. Det här ger dig mer kontroll när du behöver jämföra CSV-filer efter nyckelkolumn, finjustera hur rader joinas, ignorera skillnader som bara gäller formatering eller välja exakt vilket diff-resultat du vill ladda ner.","DETAIL_CARDS":[{"TITLE":"Join-typ: full outer join, inner join eller left join","PARAGRAPHS":["Join-typen definierar vilka rader som visas i den slutliga CSV-diffen. Full outer join är standard eftersom den visar allt: matchade rader, tillagda rader och borttagna rader. Inner join behåller bara rader som finns i båda filerna. Left join använder den ursprungliga CSV-filen som bas och är användbar när du främst vill se vilka ursprungliga poster som ändrats eller försvunnit.","Detta är särskilt hjälpsamt för sökningar som “full outer join CSV compare” eller “compare old and new CSV file with removed rows”, eftersom join-läget ändrar diffens innebörd."]},{"TITLE":"Matchning med nyckelkolumn för id:n, emails, SKU:er och jämförelse med flera nycklar","PARAGRAPHS":["Om du vill jämföra CSV efter id, email, SKU, uuid eller någon annan identifierare är inställningen för nyckelkolumn det som gör resultatet tillförlitligt. I stället för att matcha rader efter radordning matchar verktyget poster efter vald nyckel, så att omordning av kolumner eller förflyttning av rader inte skapar falska skillnader.","Du kan också använda flera nyckelkolumner när ett fält inte är tillräckligt unikt. Det gör verktyget användbart för mer avancerade sökningar som “compare CSV by key column” eller “compare CSV files by multiple columns”."]},{"TITLE":"Jämförelseinställningar för att ignorera whitespace, versaler/gemener och null-liknande värden","PARAGRAPHS":["Verkliga exporter skiljer sig ofta bara på grund av formatering. En fil kan innehålla extra mellanslag, text i versaler eller platshållarvärden som `null`, `N/A` eller tomma strängar. Med jämförelseinställningarna kan du ignorera skillnader i whitespace, ignorera versaler/gemener och behandla tomma och null-liknande värden som lika innan diffen beräknas.","Dessa alternativ är viktiga när användare söker efter ett mer avancerat verktyg för CSV-jämförelse i stället för en naiv textdiff. De hjälper till att minska brus och fokusera förhandsgranskningen på faktiska dataändringar."]},{"TITLE":"Output-format: sammanfattande CSV, CSV med ändrade rader eller fullständig diff-CSV","PARAGRAPHS":["Vissa workflows behöver bara en kompakt sammanfattning med radstatus och nycklar. Andra behöver en CSV med endast ändrade rader, eller en fullständig diff-CSV med ursprungliga och uppdaterade värden sida vid sida. Med output-inställningarna kan du välja det formatet, välja avgränsare och bestämma om oförändrade rader ska finnas kvar i den exporterade filen.","Det gör verktyget mer flexibelt än många gratis onlineverktyg för CSV diff, eftersom det exporterade resultatet kan anpassas för granskningar, affärsgenomgångar, reconciliation-workflows eller vidare arbete i kalkylblad."]},{"TITLE":"Jämför stora CSV-filer online","PARAGRAPHS":["Verktyget är utformat för att jämföra stora CSV-filer online utan att försöka rendera varje rad i webbläsaren. Det beräknar fullständiga sammanfattande antal, begränsar förhandsgranskningen till ett hanterbart urval och låter dig ändå ladda ner hela diff-resultatet efteråt.","Om du behöver ett gratis CSV diff-verktyg för stora exporter är detta workflow för stora filer själva poängen med den här sidan."]},{"TITLE":"Kompatibelt med flera CSV-kodningar","PARAGRAPHS":["Riktiga CSV-filer sparas inte alltid som vanlig UTF-8. Det här verktyget är byggt för att hantera vanliga kodningar från kalkylblad och exporter, inklusive UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 och filer i Latin-1-stil.","Detta är viktigt när du behöver en online CSV diff för filer som kommer från Excel, äldre affärssystem eller regionala exporter som annars öppnas med trasiga accenter eller oläsliga tecken."]},{"TITLE":"Radnummer i diffens datatabell","PARAGRAPHS":["När du jämför CSV-filer efter nyckelkolumn kan diffens datatabell också visa källfilens radnummer för varje matchad post. Om raden ligger kvar på samma position ser du ett radnummer. Om posten har flyttats visar tabellen båda radnumren så att du kan spåra den tillbaka i varje fil.","Detta är användbart för granskningar, reconciliation-arbete och supportärenden där du inte bara behöver förklara vad som har ändrats, utan exakt var raden kom ifrån i den ursprungliga CSV-filen och den uppdaterade CSV-filen."]},{"TITLE":"Privat bearbetning i webbläsaren","PARAGRAPHS":["CSV-filer parsas och jämförs i din webbläsare. Det är viktigt när du arbetar med kundexporter, intäktsögonblicksbilder, lagerdata eller andra känsliga kalkylblad som bör stanna på din dator.","Det gör också upplevelsen av CSV diff online snabbare eftersom det inte finns något server-side upload-steg innan du kan granska resultatet."]}],"FAQ_TITLE":"FAQ","FAQ_ITEMS":[{"QUESTION":"Hur jämför jag två CSV-filer online?","ANSWER":"Ladda upp den ursprungliga CSV-filen och den uppdaterade CSV-filen, välj hur raderna ska matchas, granska diff-förhandsvisningen och ladda sedan ner sammanfattningen eller den fullständiga diff-CSV-filen. Matchning efter id, email eller en annan stabil nyckel ger vanligtvis det tydligaste resultatet."},{"QUESTION":"Kan jag jämföra CSV-filer efter id?","ANSWER":"Ja. Verktyget är byggt för att jämföra CSV-rader efter nyckelkolumn. Det kan automatiskt föreslå kolumner som id, email, sku, key eller uuid, och du kan också välja flera nyckelkolumner när en enda kolumn inte räcker."},{"QUESTION":"Vad händer om kolumnerna har ordnats om?","ANSWER":"Standardbeteendet jämför kolumner efter kolumnnamn, inte bara efter position. Det betyder att omordnade kolumner inte skapar falska skillnader när kolumner med samma namn finns i båda filerna."},{"QUESTION":"Vad betyder join-typ i en CSV diff?","ANSWER":"Join-typen styr vilka rader som inkluderas i resultatet. Full outer join inkluderar matchade, tillagda och borttagna rader. Inner join inkluderar bara rader som finns i båda filerna. Left join använder den ursprungliga CSV-filen som bas och exkluderar rader som bara finns i den uppdaterade filen."},{"QUESTION":"Kan jag ignorera skillnader i whitespace eller versaler/gemener?","ANSWER":"Ja. Jämförelseinställningarna kan ignorera whitespace, ignorera versaler/gemener och behandla tomma eller null-liknande värden som lika. Det hjälper när du vill hitta verkliga dataändringar i stället för brus som bara beror på formatering."},{"QUESTION":"Vilka CSV-kodningar stöds?","ANSWER":"Verktyget är kompatibelt med vanliga CSV-kodningar, inklusive UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 och filer i Latin-1-stil. Det hjälper vid CSV-exporter från Excel, äldre programvara och affärssystem som inte använder UTF-8."},{"QUESTION":"Kan jag se radnummer i diffen?","ANSWER":"Ja. När rader matchas efter nyckelkolumn kan diffens datatabell visa radnummer för båda filerna. Om posten förekommer på olika radnummer i respektive fil visas båda radnumren så att du kan spåra matchningen tillbaka till käll-CSV-filerna."},{"QUESTION":"Vilka output-format finns tillgängliga?","ANSWER":"Du kan exportera en sammanfattande CSV, en CSV med ändrade rader eller en fullständig diff-CSV. Output-inställningarna låter dig också välja avgränsare och om oförändrade rader ska inkluderas."},{"QUESTION":"Kan detta jämföra stora CSV-filer?","ANSWER":"Ja. Förhandsgranskningen hålls begränsad så att sidan förblir responsiv, medan den fullständiga diffen fortfarande beräknas för antal och nedladdning. Det gör verktyget lämpligt för större exporter än vad en enkel, DOM-tung visare bekvämt klarar av."},{"QUESTION":"Är det här verktyget för CSV-jämförelse gratis?","ANSWER":"Ja. Den här sidan är ett gratis onlineverktyg för CSV diff. Du kan jämföra CSV-filer online, granska skillnaderna och ladda ner resultatet utan att behöva installera något desktop-program."}],"OTHER_TOOLS_DESC":"Behöver du ett annat dataverktyg efter att ha jämfört två CSV-filer? De här verktygen är utformade för närliggande workflows för rensning och konvertering."},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV-raddelare — dela/expandera CSV-rader med avgränsare","PAGE_DESC":"Gratis onlineverktyg för att dela CSV-rader med en avgränsare. Välj en kolumn, välj en separator och expandera celler med flera värden till en rad per värde. Fungerar med stora filer, helt i webbläsaren.","SCHEMA_NAME":"Datablist CSV-raddelare","SCHEMA_DESC":"Gratis onlineverktyg för att dela CSV-rader. Dela celler med flera värden till individuella rader genom att välja en kolumn och en avgränsare. Helt i webbläsaren, fungerar med stora filer.","TOOL":{"CHARS":"tecken","COLUMN_HELP":"Välj vilken kolumn som innehåller flera värden i varje cell.","COLUMN_LABEL":"Kolumn att dela","COPY_ARIA":"Kopiera CSV","COPY_DONE_LABEL":"Kopierat!","DELIMITER_CUSTOM_HINT":"eller ange en egen avgränsare","DELIMITER_HELP":"Tecknet som används för att separera värden i cellen.","DELIMITER_LABEL":"Cellavgränsare","EMPTY_SOURCE_LABEL":"Klistra in CSV eller ladda upp en fil","ERROR_MISSING_SOURCE":"Klistra in CSV-innehåll eller ladda upp en CSV-fil först.","NO_PREVIEW_DESC":"Ladda upp en CSV eller klistra in data och klicka på Dela rader.","NO_PREVIEW_TITLE":"Ingen förhandsvisning än","OPTIONS_DUPLICATES_DESC":"Behåll bara den första förekomsten av varje värde i en cell.","OPTIONS_DUPLICATES_LABEL":"Ta bort dubbletter","OPTIONS_HEADER":"Alternativ","OPTIONS_SKIP_EMPTY_DESC":"Hoppa över rader som skulle bli tomma efter delningen.","OPTIONS_SKIP_EMPTY_LABEL":"Hoppa över tomma värden","OPTIONS_TRIM_DESC":"Ta bort inledande och avslutande blanksteg från varje värde.","OPTIONS_TRIM_LABEL":"Trimma blanksteg","OVERLAY_DESC":"Filen kommer att tolkas lokalt och förhandsvisas direkt.","OVERLAY_TITLE":"Släpp din CSV-fil här","PASTE_LABEL":"Klistra in CSV","PASTED_LABEL":"Inklistrad CSV","PREVIEW_LIMIT":"{count} av {total} rader","PREVIEW_SPLIT_BADGE":"delad","ROWS_AFTER":"Rader efter","ROWS_BEFORE":"Rader före","STATUS_FAILED":"Bearbetningen misslyckades","STATUS_PREVIEW_READY":"Förhandsvisning klar","STATUS_PROCESSING":"Bearbetar CSV…","STATUS_WAITING":"Väntar på inmatning","SUBMIT_LABEL":"Dela rader","TRUST_BROWSER":"Bearbetas i din webbläsare","TRUST_LARGE_FILES":"Fungerar med stora CSV-filer","TRUST_NO_UPLOAD":"Ingen uppladdning till server","DELIMITERS":{"COMMA":"Komma ,","SEMICOLON":"Semikolon ;","PIPE":"Lodstreck |","TAB":"Tabb \\t"},"CUSTOM_DELIMITER":"Anpassad…","PASTE_PLACEHOLDER":"Namn,Emails\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":"Visar {count} av {total} rader – ladda ner CSV-filen för att få alla rader."},"KEYWORDS":["split csv rows by delimiter","split column into multiple rows csv","excel split cell into multiple rows","normalize csv data","normalize csv multi-value cells","csv utf-8 utf-16 windows-1252","csv latin-1 encoding tool","expand rows csv","csv unpivot multi-value column","split comma separated values into rows","csv explode column","unnest csv column","tidy data multiple values per cell","flatten csv column","split comma separated values into multiple rows excel","how to normalize csv with multiple values in one cell","convert multi value cell to rows csv online","split emails in one cell into multiple rows","datablist tools"],"HERO_TITLE":"Dela CSV-rader med avgränsare — på några sekunder. Inga Excel-formler.","HERO_DESC":"Jag exporterade kontakter från mitt CRM. Alla emails låg i en enda cell, kommaseparerade. Jag behövde ett email per rad. Excel gjorde det onödigt krångligt. Det här verktyget gör jobbet på 10 sekunder.","WHY_TITLE":"Varför det är viktigt att dela celler med flera värden","WHY_DESC":"CRM, e-handelsplattformar och enkätexporter lägger ofta flera värden i en enda cell. Taggar, emails, telefonnummer, kategorier — allt samlas bakom en avgränsare. Normaliserad data är enklare att importera, deduplicera, filtrera och enricha. Ett värde per rad är standarden som dina verktyg förväntar sig.","INTRO_CARDS":[{"TITLE":"Dela en kolumn till flera rader i CSV","PARAGRAPHS":["Använd det här verktyget när du behöver dela en kolumn till flera rader i en CSV-fil. Det är byggt för filer där en cell innehåller flera emails, taggar, telefonnummer, kategorier, kompetenser eller ID:n separerade med en avgränsare.","Det här är ett av de snabbaste sätten att normalisera CSV-data och normalisera CSV-celler med flera värden innan du importerar filen till ett annat system. I stället för att ha flera värden i samma post expanderar du raderna i CSV-filen så att varje värde får sin egen rad."]},{"TITLE":"Så delar du en cell till flera rader i Excel","PARAGRAPHS":["Många söker efter hur man delar en cell till flera rader i Excel eller hur man delar kommaseparerade värden till flera rader i Excel. För CSV-filer är det här onlineverktyget vanligtvis snabbare än att bygga formler, använda Power Query eller manuellt kopiera rader.","Klistra in eller ladda upp din CSV, välj kolumnen, bekräfta avgränsaren och ladda ner resultatet. Om ditt mål är att konvertera en cell med flera värden till rader i CSV online är den här sidan byggd exakt för det workflowet."]}],"EXAMPLES":{"EMAILS":{"TITLE":"Exempel: dela kontakter med flera emails till en rad per email","DESCRIPTION":"En vanlig CRM-export lägger varje kontakts email i en enda cell. Delning expanderar varje kontakt till individuella rader som du kan importera i vilket verktyg som helst.","INPUT_LABEL":"CSV-input","OUTPUT_LABEL":"CSV-output"},"TAGS":{"TITLE":"Exempel: expandera produkt-taggar till individuella rader","DESCRIPTION":"Produktkataloger packar ofta flera taggar i en enda cell. Delning ger dig en ren struktur med en tagg per rad, redo för filtrering, gruppering eller analys.","INPUT_LABEL":"CSV-input","OUTPUT_LABEL":"CSV-output"}},"SETTINGS_CARDS":[{"TITLE":"Så delar verktyget CSV-rader","ITEMS":[{"TITLE":"Kolumn att dela","BODY":"Välj kolumnen som innehåller flera värden i en enda cell. Alla andra kolumner dupliceras över de nya raderna. Endast en kolumn kan expanderas åt gången i den här versionen."},{"TITLE":"Cellavgränsare","BODY":"Detta är tecknet som separerar värden inne i cellen — inte samma sak som CSV-filens kolumnseparator. Vanliga val är komma, semikolon, pipe och tab. Verktyget föreslår en avgränsare baserat på din data."},{"TITLE":"Trimma mellanslag","BODY":"Aktiverat som standard. Tar bort inledande och avslutande blanksteg från varje värde efter delning. Användbart när värden separeras med \", \" i stället för bara \",\"."}]},{"TITLE":"Avancerade alternativ","ITEMS":[{"TITLE":"Ta bort dubbletter","BODY":"När en cell innehåller `a,a,b` behåller det här alternativet bara ett `a` och skapar två rader i stället för tre. Användbart när källdatan innehåller oavsiktliga upprepningar."},{"TITLE":"Hoppa över tomma värden","BODY":"När en delning ger en tom sträng, till exempel från en avslutande avgränsare som `a,b,`, tar det här alternativet bort det tomma värdet i stället för att skapa en tom rad."},{"TITLE":"Tomma celler behålls som standard","BODY":"Om en cell är helt tom behålls raden som den är. Endast celler som faktiskt innehåller avgränsaren expanderas."}]}],"INFO_CARDS":[{"TITLE":"Fungerar med stora CSV-filer","PARAGRAPHS":["Delning expanderar antalet rader, ibland rejält. En fil med 5 000 rader och i snitt 3 värden per cell blir 15 000 rader. Verktyget hanterar det utan problem.","Förhandsvisningen visar de första 100 output-raderna så att webbläsaren förblir responsiv. Ladda ner hela CSV-filen när du har bekräftat att delningen är korrekt."]},{"TITLE":"Kompatibelt med flera CSV-kodningar","PARAGRAPHS":["CSV-filer från kalkylblad och äldre exporter är inte alltid kodade på samma sätt. Det här verktyget stöder vanliga CSV-kodningar, inklusive UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 och filer i Latin-1-stil.","Det gör verktyget mer pålitligt när du behöver dela rader i CSV-filer som innehåller accenter, specialtecken eller äldre exportformat som ofta orsakar problem i enklare onlineverktyg."]},{"TITLE":"Din fil lämnar aldrig webbläsaren","PARAGRAPHS":["All parsning och delning sker lokalt i din webbläsare med hjälp av en Web Worker. Ingen fil laddas upp till en server. Det är viktigt när du arbetar med kunddata, CRM-exporter eller konfidentiella kontaktlistor.","Det här verktyget är gratis att använda och kräver inget konto."]}],"USE_CASES_TITLE":"När du ska använda det här verktyget","USE_CASES":[{"TITLE":"Dela kommaseparerade värden till rader","BODY":"Förvandla `a,b,c` i en enda cell till tre separata rader — det vanligaste användningsfallet för CRM- och e-handelsexporter."},{"TITLE":"Normalisera CSV med flera emails per cell","BODY":"Expandera kontaktlistor där en person har flera emails samlade i en enda kolumn så att varje email får sin egen rad."},{"TITLE":"Dela en kolumn med flera värden till rader","BODY":"När en CSV-kolumn innehåller flera värden i en enda cell kan du expandera den till separata rader så att filen blir enklare att importera, filtrera och analysera."},{"TITLE":"Expandera taggar och kategorier","BODY":"Produktkataloger, blogginlägg och supportärenden lagrar ofta flera taggar i samma fält. Normalisera dem före analys."},{"TITLE":"Dela upp telefonnummer","BODY":"När kontakter har flera telefonnummer i en enda cell kan du dela dem till individuella rader för renare importer till dialers eller CRM."},{"TITLE":"Tidy data för deduplicering","BODY":"Ett värde per rad är standarden för tidy data. Efter delning kan du använda Datablist för att deduplicera, filtrera och enricha resultaten."},{"TITLE":"Förbered data för importer","BODY":"De flesta CRM- och marknadsföringsplattformar förväntar sig ett värde per rad. Delning är ofta första steget innan du importerar eller enrichar din data."}],"VOCABULARY":{"TITLE":"CSV explode, unnest, flatten eller unpivot","PARAGRAPHS":["Olika verktyg beskriver den här transformationen på olika sätt. Du kanske letar efter ett verktyg för CSV explode column, ett sätt att unnest en CSV-kolumn, en metod för att flatten en CSV-kolumn eller ett workflow för CSV unpivot multi-value column.","I praktiken är målet detsamma: tidy data med flera värden per cell så att ett värde blir en rad. Den strukturen är enklare att sammanfoga, deduplicera, gruppera, enricha och exportera."]},"FAQ_TITLE":"Vanliga frågor","FAQ_ITEMS":[{"QUESTION":"Kan jag använda semikolon som cellavgränsare?","ANSWER":"Ja. Verktyget stöder komma, semikolon, pipe, tab och egna avgränsare. Det försöker också automatiskt upptäcka rätt avgränsare från din data när du väljer en kolumn."},{"QUESTION":"Fungerar det med stora CSV-filer?","ANSWER":"Ja. Delningen sker i en Web Worker så att webbläsaren inte blockeras. Förhandsvisningen är begränsad till 100 rader, men hela output-filen kan laddas ner även när din fil har tiotusentals rader."},{"QUESTION":"Laddas min data upp till en server?","ANSWER":"Nej. Allt körs lokalt i din webbläsare. Din CSV skickas aldrig till någon server. Det gör verktyget säkert för kunddata, interna exporter och allt annat du inte vill ladda upp."},{"QUESTION":"Vilka CSV-kodningar stöds?","ANSWER":"Verktyget är kompatibelt med vanliga CSV-kodningar, inklusive UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 och filer i Latin-1-stil. Det hjälper när din CSV kommer från Excel, äldre programvara eller exporter med accenttecken."},{"QUESTION":"Vad händer med celler som inte innehåller avgränsaren?","ANSWER":"De behålls som de är. Endast celler som faktiskt innehåller avgränsartecknet expanderas till flera rader. Tomma celler behålls också som standard."},{"QUESTION":"Hanterar det citerade CSV-fält korrekt?","ANSWER":"Ja. Den underliggande CSV-parsern hanterar citerade fält korrekt. Ett värde som \"mia.chen@example.test,mia@workmail.test\" behandlas som ett enda värde och delas enligt cellavgränsaren, inte CSV-separatorn."}],"CTA_TITLE":"Behöver du deduplicera eller enricha din data efter delning?","CTA_DESC":"När din data är normaliserad — ett värde per rad — gör Datablist det enkelt att deduplicera kontakter, enricha med extern data, filtrera efter valfri kolumn och exportera en ren slutfil.","CTA_LABEL":"Testa Datablist gratis","OTHER_TOOLS_DESC":"Behöver du ett annat dataverktyg efter att du delat din CSV? De här verktygen täcker närliggande workflows för datarensning och konvertering."},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — Dela CSV-filer efter rader, storlek, värden, regler eller datum","PAGE_DESC":"Gratis online CSV Splitter för stökiga exporter från verkligheten. Upptäck kolumner automatiskt, få smarta förslag för uppdelning, förhandsgranska utdatafiler och ladda ner CSV- eller ZIP-resultat direkt i din webbläsare.","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"Gratis online CSV splitter som kan dela upp efter rader, filstorlek, grupperade värden, regler och datumintervall. Körs helt i webbläsaren och laddar ner exporter med flera filer som ZIP-arkiv.","TOOL":{"ANALYSIS_COLUMNS":"Kolumner","ANALYSIS_DELIMITER":"Avgränsare","ANALYSIS_ENCODING":"Teckenkodning","ANALYSIS_ROWS":"Rader","DOWNLOAD_ACTIVE_FILE":"Ladda ner aktiv fil","EMPTY_SOURCE_LABEL":"Ladda upp en CSV eller klistra in den nedan","ERROR_INVALID_ROWS_PER_FILE":"Antal rader per fil måste vara ett heltal större än 0.","ERROR_LOAD_FILE":"Det gick inte att läsa in den här CSV-filen.","ERROR_LOAD_PASTED_CSV":"Det gick inte att läsa den inklistrade CSV:n.","ERROR_MISSING_RULES":"Lägg till minst en regel innan du förhandsgranskar denna uppdelning.","ERROR_MISSING_SOURCE":"Klistra in en CSV innan du fortsätter.","ERROR_MISSING_SOURCE_FOR_PREVIEW":"Ladda upp eller klistra först in en CSV.","ERROR_RULE_FILE_LABEL":"Varje regel behöver ett namn på målfilen innan du kan förhandsgranska denna uppdelning.","FILE_HINT":"CSV-avgränsare, radbrytningar inom citattecken, duplicerade headers och teckenkodning hanteras automatiskt.","LOAD_FIRST_DESC":"Ladda upp en fil eller klistra in CSV, och välj sedan ett uppdelningsläge för att fortsätta.","LOAD_FIRST_TITLE":"Ladda först in en CSV","MODE_LOCKED_HINT":"Ladda upp eller klistra in en CSV för att låsa upp dessa uppdelningslägen.","MODE_OPTIONS":[{"DESCRIPTION":"Skapa filer med ett fast antal rader. Detta är det säkraste standardvalet för de flesta exporter.","LABEL":"Dela upp efter rader","MODE":"rows"},{"DESCRIPTION":"Håll varje fil under en ungefärlig uppladdningsgräns när ett annat verktyg inte accepterar större CSV-filer.","LABEL":"Dela upp efter filstorlek","MODE":"size"},{"DESCRIPTION":"Skapa en fil per land, ägare, status eller annan återkommande kategori.","LABEL":"Dela upp efter kolumnvärden","MODE":"column_value"},{"DESCRIPTION":"Skicka rader till filer baserat på enkla villkor som land, email-domän eller företagsstorlek.","LABEL":"Dela upp efter regler","MODE":"conditional"},{"DESCRIPTION":"Gruppera rader efter månad, år eller ISO-vecka med hjälp av en datumkolumn.","LABEL":"Dela upp efter datumintervall","MODE":"date_range"}],"PASTE_CARD_DESC":"Praktiskt för snabba tester eller när filen redan finns i urklipp.","PASTE_CARD_TITLE":"Klistra in CSV","PASTE_DROP_HINT":"Klistra in eller släpp en fil","PASTED_LABEL":"Inklistrad CSV","PREPARING_MODE_DESC":"Det här läget behöver en djupare skanning av kolumnerna innan inställningarna kan visas.","PREPARING_MODE_TITLE":"Förbereder detta uppdelningsläge","PREVIEW_AFTER_BUILD_DESC":"Välj ett uppdelningsläge, justera inställningarna och förhandsgranska utdatafilerna innan du laddar ner.","PREVIEW_AFTER_BUILD_TITLE":"Förhandsgranskning kommer efter att du har byggt uppdelningen","PREVIEW_PANEL_DESC":"Granska antal filer, varningar och förhandsgranskningen av varje utdata innan nedladdning.","PREVIEW_PANEL_TITLE":"Förhandsgranska och ladda ner","PREVIEW_SPLIT_LABEL":"Förhandsgranska uppdelning","READY_TO_SPLIT":"Klar att dela upp","STATUS_ANALYSIS_READY":"Analysen är klar","STATUS_ANALYZING":"Analyserar kolumner…","STATUS_BUILDING_PREVIEW":"Bygger förhandsgranskning av uppdelning…","STATUS_CHOOSE_MODE":"Välj ett uppdelningsläge","STATUS_LOADING_PREVIEW":"Laddar filförhandsgranskning…","STATUS_PREPARING_DOWNLOAD":"Förbereder filnedladdning…","STATUS_PREPARING_ZIP":"Förbereder ZIP-arkiv…","STATUS_PREVIEW_READY":"Förhandsgranskning klar","STATUS_READY_TO_SPLIT":"Klar att dela upp","STATUS_SETTINGS_READY":"Justera inställningarna och förhandsgranska","STATUS_UNABLE_LOAD_CSV":"Det gick inte att läsa in CSV","STATUS_UNABLE_LOAD_FILE":"Det gick inte att läsa in filen","STATUS_WAITING":"Väntar på en CSV-fil","STATUS_ZIP_READY":"ZIP klar","UPLOAD_CSV":"Ladda upp CSV","USE_CSV":"Använd CSV","UI":{"NAME_EMAIL_COUNTRY_10_ALICE_ALICE_EXAMPLE":"namn,email,land\nAlice,alice@example.com,FR","ROWS_PER_FILE":"Rader per fil","MAX_SIZE_PER_FILE_BYTES":"Maxstorlek per fil (byte)","USE_250000_FOR_ROUGHLY_250_KB_1000000":"Använd 250000 för cirka 250 KB och 1000000 för cirka 1 MB.","GOOD_WHEN_DOWNSTREAM_TOOLS_HAVE_UPLOAD_LIMITS":"Bra när efterföljande verktyg har uppladdningsgränser","SIZE_BASED_CHUNKS_USE_EXACT_ROW_SIZES":"Storleksbaserade delar använder exakta radstorlekar, men stora variationer i radlängd gör resultatet mindre förutsägbart än vid radbaserad uppdelning.","SPLIT_BY_COLUMN_S":"Dela upp efter kolumn(er)","USE_ONE_COLUMN_FOR_SIMPLE_SEGMENTATION_OR":"Använd en kolumn för enkel segmentering eller kombinera flera kolumner för mer detaljerade resultat.","LIMIT_OUTPUT_FILES":"Begränsa antalet utdatafiler","RULE_BUILDER":"Regelbyggare","RULES_RUN_IN_ORDER_CHOOSE_FIRST_MATCH":"Reglerna körs i ordning. Välj läget för endast första matchningen eller tillåt att rader hamnar i flera filer.","ADD_RULE":"Lägg till regel","RULE":"Regel","REMOVE":"Ta bort","EQUALS":"är lika med","DOES_NOT_EQUAL":"är inte lika med","CONTAINS":"innehåller","DOES_NOT_CONTAIN":"innehåller inte","STARTS_WITH":"börjar med","ENDS_WITH":"slutar med","GREATER_THAN":"är större än","GREATER_THAN_OR_EQUAL":"är större än eller lika med","LESS_THAN":"är mindre än","LESS_THAN_OR_EQUAL":"är mindre än eller lika med","IS_EMPTY":"är tomt","IS_NOT_EMPTY":"är inte tomt","COMPARISON_VALUE":"Jämförelsevärde","DESTINATION_FILE_NAME":"Målfilens namn","THIS_IS_THE_FILE_THAT_WILL_RECEIVE":"Det här är filen som tar emot rader som matchar regeln. Exempel: enterprise, gmail eller north-america.","EXAMPLE_ENTERPRISE":"Exempel: enterprise","CASE_SENSITIVE":"Skiftlägeskänslig","DATE_COLUMN":"Datumkolumn","GROUP_BY":"Gruppera efter","MONTH":"Månad","YEAR":"År","ISO_WEEK":"ISO-vecka","ADVANCED_SETTINGS":"Avancerade inställningar","USE_THESE_ONLY_WHEN_THE_SIMPLE_SETUP":"Använd endast dessa när den enkla konfigurationen inte räcker. Här finns alternativ för projektion och finjustering.","EXPORT_SETTINGS":"Exportinställningar","FILENAME_PATTERN":"Filnamnsmönster","USE_VARIABLES_LIKE_INDEX_AND_LABEL_EXAMPLE":"Använd variabler som {index} och {label}. Exempel: batch-{index}-{label}","STARTING_NUMBER":"Startnummer","THE_FIRST_FILE_INDEX_USED_WHEN_INDEX":"Det första filindexet som används när {index} förekommer i filnamnsmönstret.","COLUMNS_TO_KEEP_IN_THE_OUTPUT":"Kolumner som ska behållas i utdata","PROJECTION_HAPPENS_BEFORE_THE_SPLIT_IT_REDUCES":"Projektionen sker före uppdelningen. Den minskar filstorleken och ger renare exporterade filer.","SELECT_ALL":"Markera alla","UNSELECT_ALL":"Avmarkera alla","ROW_SETTINGS":"Radinställningar","OVERLAP_ROWS":"Överlappande rader","USEFUL_WHEN_BATCH_TOOLS_NEED_CONTEXT_IN":"Användbart när batchverktyg behöver sammanhang i nästa fil.","SHUFFLE_ROWS":"Blanda rader","USEFUL_FOR_EXPERIMENTS_AND_SAMPLING":"Användbart för experiment och stickprov.","KEEP_GROUPED_ROWS_TOGETHER":"Håll grupperade rader tillsammans","AVOID_BREAKING_THE_SAME_GROUP_ACROSS_FILES":"Undvik att dela upp samma grupp mellan flera filer.","GROUPING_COLUMN":"Grupperingskolumn","CHOOSE_A_COLUMN":"Välj en kolumn","COLUMN_VALUE_SETTINGS":"Inställningar för kolumnvärden","RARE_VALUE_HANDLING":"Hantering av sällsynta värden","KEEP_EVERY_DISTINCT_VALUE":"Behåll varje unikt värde","KEEP_TOP_N_VALUES_GROUP_THE_REST":"Behåll de N vanligaste värdena och gruppera resten","GROUP_BUCKETS_BELOW_A_ROW_THRESHOLD":"Gruppera kategorier under ett tröskelvärde för antal rader","TOP_N_VALUES_TO_KEEP":"Antal toppvärden att behålla","MINIMUM_ROWS_PER_BUCKET":"Minsta antal rader per kategori","OTHER_BUCKET_LABEL":"Etikett för kategorin Övrigt","ALSO_SPLIT_LARGE_GROUPS_BY_FILE_SIZE":"Dela även upp stora grupper efter filstorlek","USEFUL_WHEN_ONE_SEGMENT_IS_MUCH_BIGGER":"Användbart när ett segment är mycket större än resten.","MAX_SIZE_PER_GROUPED_FILE_BYTES":"Maxstorlek per grupperad fil (byte)","RULE_SETTINGS":"Regelinställningar","FIRST_MATCH_ONLY":"Endast första matchningen","TURN_THIS_OFF_TO_DUPLICATE_A_ROW":"Stäng av detta om en rad ska kopieras till flera utdatafiler.","KEEP_UNMATCHED_ROWS_IN_A_SEPARATE_FILE":"Behåll omatchade rader i en separat fil","TURN_THIS_ON_IF_YOU_WANT_ROWS":"Aktivera detta om rader som inte matchar någon regel ska placeras i en egen export.","UNMATCHED_ROWS_FILE_NAME":"Filnamn för omatchade rader","THIS_NAME_IS_USED_FOR_THE_EXTRA":"Det här namnet används för den extra fil som samlar rader som inte matchar någon av dina regler.","DATE_SETTINGS":"Datuminställningar","DATE_FORMAT":"Datumformat","USE_A_FIXED_FORMAT_WHEN_THE_ANALYZER":"Använd ett fast format när analysverktyget har gissat fel.","AUTO_DETECT":"Identifiera automatiskt","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":"Ogiltiga datum","SEND_TO_A_SEPARATE_FILE":"Skicka till en separat fil","SKIP_INVALID_ROWS":"Hoppa över ogiltiga rader","INVALID_DATE_FILE_LABEL":"Etikett för fil med ogiltiga datum","COLUMN_TYPE_OVERRIDES":"Åsidosätt kolumntyper","USE_THIS_WHEN_A_NUMBER_OR_DATE":"Använd detta när en tal- eller datumkolumn har identifierats felaktigt. Det påverkar regeljämförelser och datumbaserade uppdelningar.","DETECTED_AS":"Identifierad som","TEXT":"Text","NUMBER":"Tal","DATE":"Datum","COMMA_THOUSANDS_SEPARATOR":"Komma som tusentalsavgränsare","DOT_THOUSANDS_SEPARATOR":"Punkt som tusentalsavgränsare","SPACE_THOUSANDS_SEPARATOR":"Mellanslag som tusentalsavgränsare","APOSTROPHE_THOUSANDS_SEPARATOR":"Apostrof som tusentalsavgränsare","NO_THOUSANDS_SEPARATOR":"Ingen tusentalsavgränsare","ONLY":"Endast","ROWS_SHOWN_IN_PREVIEW":"rader visas i förhandsgranskningen","PREVIEW_LOADS_ON_DEMAND_FOR_THIS_FILE":"Förhandsgranskningen läses in vid behov för den här filen","LARGE_ROW_BASED_SPLITS_ONLY_PRELOAD_THE":"Vid stora radbaserade uppdelningar förladdas endast den första filen så att förhandsgranskningen förblir snabb.","SUGGESTED_GROUPING_COLUMNS":"Föreslagna grupperingskolumner","GROUPS":"grupper","LARGEST":"Störst:","SMALLEST":"Minst:","MEDIAN":"Median:","NO_STRONG_GROUPING_COLUMN_WAS_DETECTED_ROW":"Ingen tydlig grupperingskolumn identifierades. Rad- eller storleksbaserad uppdelning är säkrare standardalternativ för den här filen.","FILE_ANALYSIS":"Filanalys","DUPLICATE_HEADERS":"Dubbletter av kolumnrubriker:","EMPTY_COLUMNS":"Tomma kolumner:","LARGE_TEXT_COLUMNS":"Kolumner med stora textmängder:","LEARN_MORE_ABOUT":"Läs mer om {title}","SOMETHING_WENT_WRONG":"Något gick fel","TAB":"Tabb","DOWNLOAD_ZIP":"Ladda ned ZIP","OUTPUT_FILES":"Utdatafiler","PROJECTED_COLUMNS":"Valda utdatakolumner","LARGEST_FILE":"Största filen","ZIP_SIZE":"ZIP-storlek","ROWS_COUNT":"{count} rader","OUTPUT_FILE_META":"{rows} rader · {size}","ROWS_SHOWN":"Endast {count} rader visas i förhandsgranskningen","GROUPS_COUNT":"{count} grupper","NONE":"inga"}},"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":"Dela CSV-filer efter innebörd, inte bara efter chunk size","HERO_DESC":"Många CSV splitter-verktyg stannar vid ”var 1 000:e rad”. Riktiga exporter är stökigare. Ibland behöver du en fil per land, en fil per månad, en fil för enterprise-konton eller en reservfil för rader som inte matchade något. Det här verktyget är byggt för den verkligheten.","INTRO_CARDS":[{"TITLE":"Smart analys före uppdelningen","PARAGRAPHS":["Verktyget upptäcker automatiskt encoding, delimiter, duplicerade headers, tomma kolumner, textfält med mycket innehåll och grupperingskolumner med låg kardinalitet. Det gör det enklare att välja en praktisk uppdelning i stället för att gissa.","Du får också varningar när en uppdelning är riskabel: för många utdatafiler, för många pyttesmå filer eller en jättestor grupp som är mycket större än resten."]},{"TITLE":"Byggt för stora CSV-exporter från verkligheten","PARAGRAPHS":["Stora filer stannar på klientsidan. Du förhandsgranskar resultatet innan nedladdning, behåller bara de kolumner du behöver och exporterar en fil eller flera filer i ett ZIP-arkiv.","Det fungerar bra för outreach-batcher, överlämningar per land, CRM-rensning, compliance-granskningar och historiska utsnitt per månad."]}],"GUIDE_TITLE":"Guide till inställningarna för de knepiga delarna","GUIDE_DESC":"Vissa inställningar för uppdelning är kraftfulla, men inte självklara vid första anblicken. Hjälpikonerna i verktyget hoppar till motsvarande förklaringar nedan så att du kan förstå vad en inställning faktiskt ändrar innan du förhandsgranskar uppdelningen.","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, överlappning och storleksbaserade chunks","DESCRIPTION":"Det här är de snabbaste sätten att dela upp och oftast de säkraste när du bara behöver mindre filer.","PARAGRAPHS":["Rader per fil ger varje utdata ungefär samma antal rader. Det passar bäst när nedströmsverktyg bryr sig om batchstorlek, inte kategori eller innebörd.","Överlappande rader upprepar några rader i gränsen mellan filer. Använd det bara när nästa batch behöver lite kontext från den föregående.","Behåll grupperade rader tillsammans gör att verktyget inte delar upp samma konto, företag eller order över flera filer. Det är viktigt när rader som tillhör samma entitet ska hållas ihop.","Max storlek per fil är till för upload-gränser. Den försöker hålla sig under ett byte-mål, men radlängder kan variera, så den sista filen eller vissa filer kan ändå kännas mindre jämna än vid radbaserade chunks."]},{"ID":"csv-splitter-help-column-values","EXTRA_IDS":["csv-splitter-help-rare-values","csv-splitter-help-large-groups"],"ICON":"split","TITLE":"Grupperade utdata och ovanliga värden","DESCRIPTION":"Värdebaserad uppdelning är bäst när en CSV per land, ägare, status eller källa gör resultatet enklare att granska eller lämna över.","PARAGRAPHS":["Dela upp efter kolumn(er) skapar en utdata per unikt värde eller värdekombination. En kolumn ger enklare utdata; två eller fler kolumner skapar mer granulära filer.","Hantering av ovanliga värden hjälper när enstaka värden annars skulle skapa för många pyttesmå filer. Du kan behålla bara de största grupperna och slå ihop resten i en ”other”-grupp.","Dela även upp stora grupper efter filstorlek är användbart när en kategori är mycket större än resten. Det behåller grupperingslogiken, men förhindrar att en enda jättestor fil dominerar exporten."]},{"ID":"csv-splitter-help-rules","EXTRA_IDS":["csv-splitter-help-unmatched"],"ICON":"rules","TITLE":"Regler, första träff och omatchade rader","DESCRIPTION":"Regelbaserad uppdelning är användbar när filernas destination styrs av affärslogik i stället för en enkel grupperingskolumn.","PARAGRAPHS":["Bara första träff betyder att en rad stannar vid den första regel den matchar. Stäng bara av det när du medvetet vill kopiera samma rad till flera utdatafiler.","Behåll omatchade rader i en separat fil ser till att rader som inte uppfyller någon av dina regler ändå bevaras i en egen export.","Filnamn för omatchade rader är helt enkelt namnet på den uppsamlingsfilen. Det hjälper när du vill ha en tydlig utdata 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":"Datum, exportinställningar och renare utdatafiler","DESCRIPTION":"De här inställningarna spelar roll när indata är stökig eller när exporterade filnamn behöver passa in i ett befintligt workflow.","PARAGRAPHS":["Datumformat finns där för tvetydiga datumkolumner. Om detektorn gissar fel kan du tvinga fram det förväntade formatet innan gruppering per månad, år eller vecka.","Ogiltiga datum låter dig bestämma om felaktiga värden ska hoppas över eller flyttas till en separat fil. Det är säkrare än att tyst förlora rader.","Filnamnsmönster styr de slutliga utdatanamnen. Använd variabler som <code>{index}</code> och <code>{label}</code> när dina batcher behöver förutsägbar numrering.","Kolumner att behålla i utdata tar bort onödiga kolumner före uppdelningen. Det gör exporterna lättare och renare, särskilt när den ursprungliga CSV-filen har hjälpkolumner som du inte vill skicka vidare nedströms."]}],"EDGE_TITLE":"Edge cases som det här verktyget hanterar","EDGE_DESC":"Riktiga CSV-exporter är sällan rena. Det här verktyget är byggt för att hantera de irriterande fallen som vanligtvis får enklare splitters att fallera.","EDGE_CASES":[{"ICON":"shield","TITLE":"Celler inom citationstecken, inbäddade kommatecken och radbrytningar","DESCRIPTION":"Rader delas inte bara för att en cell inom citationstecken innehåller ett kommatecken eller en radbrytning.","BODY":"Parsern håller citerade CSV-värden intakta, så att adresser, anteckningar eller långa textfält inte bryts upp i falska rader under uppdelningen."},{"ICON":"files","TITLE":"Duplicerade headers, tomma kolumner och projicerad utdata","DESCRIPTION":"Stökiga headers och överdimensionerade exporter är vanliga i exporter från CRM, ekonomi och support.","BODY":"Duplicerade headers normaliseras så att jämförelser fortfarande fungerar. Tomma kolumner kan identifieras, och projection låter dig ta bort kolumner innan utdatafiler genereras."},{"ICON":"rows","TITLE":"Stora filer och lazy preview","DESCRIPTION":"Förhandsgranskningen ska hjälpa dig att välja, inte blockera dig från att bearbeta stora filer.","BODY":"För stora radbaserade uppdelningar kan verktyget hålla preview lättviktig och bara förladda den första utdatafilen. Sekundära previews och nedladdningar materialiseras vid behov."},{"ICON":"dates","TITLE":"Ogiltiga datum, omatchade regler och ojämna grupper","DESCRIPTION":"Splittern håller rader i edge cases synliga i stället för att tyst kasta bort dem.","BODY":"Rader med ogiltiga datum kan läggas i en separat fil, rader som inte matchar någon regel kan behållas i en egen export, och grupperade uppdelningar kan varna dig när ett segment är mycket större än resten."}],"EXAMPLES":{"COUNTRY":{"TITLE":"Dela upp efter land eller status","DESCRIPTION":"Använd uppdelning efter grupperade värden när du vill ha en CSV per land, ägare, status, källa eller något annat fält med låg kardinalitet."},"RULES":{"TITLE":"Bygg regelbaserade utdatafiler","DESCRIPTION":"Villkorsregler låter dig definiera praktiska destinationer som enterprise-konton, Gmail-adresser eller reservrader som inte matchar något."},"INPUT_LABEL":"Indata","OUTPUT_LABEL":"Utdata"},"FAQ_ITEMS":[{"QUESTION":"Kan jag dela upp en CSV efter kolumnvärde?","ANSWER":"Ja. Välj en eller flera kolumner, förhandsgranska antalet grupper, sätt eventuellt ett tak för antalet utdatafiler och gruppera ovanliga värden i en ”other”-fil."},{"QUESTION":"Kan jag dela upp en CSV efter filstorlek?","ANSWER":"Ja. Ange ett byte-mål per fil. Det är användbart när ett annat verktyg har upload-gränser. Förhandsgranskningen varnar när radlängderna varierar för mycket för tillförlitliga uppskattningar."},{"QUESTION":"Kan jag dela upp en CSV per månad eller år?","ANSWER":"Ja. Välj en datumkolumn, välj månad, år eller ISO-vecka och bestäm om ogiltiga datum ska hamna i en egen fil eller hoppas över."},{"QUESTION":"Skapar verktyget ett ZIP-arkiv?","ANSWER":"Ja. Uppdelningar med en enda utdata laddas ner som CSV. Uppdelningar med flera filer laddas ner som ZIP så att stora segmenterade exporter förblir hanterbara."}],"FAQ_TITLE":"Vanliga frågor"},"ToolsDomainFinder":{"CONTENT":{"META_TITLE":"Gratis sökverktyg från företagsnamn till domän | Datablist","META_SOCIAL_TITLE":"Gratis sökverktyg från företagsnamn till domän","META_DESCRIPTION":"Klistra in upp till 10 företagsnamn och hitta deras webbplatser direkt. Gratis, inget betalkort krävs.","HERO":{"TITLE":"Hitta domän från företagsnamn","DESCRIPTION":"Klistra in en lista med företagsnamn och få deras webbplatser på några sekunder. Gratis, inget kort krävs."},"PROOF":{"TITLE":"Bygger på verkliga data, inte gissningar","EYEBROW":"Det här finns faktiskt i databasen","BODY":"Samma företagsdata som ligger bakom Datablists betalda produkt för databerikning, dubbelkontrollerade mot kända moder- och dotterbolagsrelationer så att en träff inte i det tysta pekar på fel varumärke.","STATS":[{"value":"85%+","label":"träffsäkerhet"},{"value":"3","label":"söklägen"},{"value":"32M","label":"företag"}]},"SOCIAL":{"TITLE":"Används av startups och storföretag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för 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":"Så fungerar det","STEPS":[{"step":1,"title":"Klistra in din lista","body":"Kopiera företagsnamn från en CRM-export, en kolumn i ett kalkylark eller en ofärdig leadlista och klistra in dem i vårt kostnadsfria verktyg för att hitta domäner från företagsnamn. Vi delar automatiskt upp poster vid nya rader eller kommatecken och tar bort exakta dubbletter."},{"step":2,"title":"Vi söker först i databasen och sedan på Google","body":"Varje namn matchas mot Datablists egen företagsdatabas – samma data som ligger bakom vår betalda produkt för databerikning. Om vi inte hittar någon säker träff där går vi vidare med en Google-sökning i realtid. Vi tar inte bara det första resultatet: varje kandidat poängsätts efter hur väl den matchar företaget du sökte efter, så att en katalogpost eller nyhetsartikel om företaget inte returneras som dess webbplats."},{"step":3,"title":"Varje resultat får en konfidensnivå","body":"Alla domänträffar är inte lika säkra. Därför får varje rad nivån Hög, Medel eller Låg, baserat på hur väl namnet matchade och hur domänen hittades. Rader med hög konfidens kan användas direkt. Resultat med medelhög eller låg konfidens bör granskas snabbt innan de läggs till i en outreach-lista."}],"FLOW":["Företagsdatabas","ingen säker träff","Google-sökning i realtid","verifierat resultat"],"CTA":{"TITLE":"500 kostnadsfria sökningar, inget kort krävs","BODY":"Med ett kostnadsfritt konto försvinner gränsen på 10 namn och du får 500 krediter från start.","LABEL":"Skapa ett kostnadsfritt konto"}},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Personalisering av cold outreach","body":"Hitta webbplatsen innan du skriver ditt email, så att inledningen hänvisar till något verkligt.","ctaLabel":"Guide till personalisering av cold email","ctaHref":"https://www.datablist.com/how-to/cold-email-personalization-tactics"},{"title":"Berikning av leadlistor","body":"Fyll i domäner som saknas i en prospektlista innan den förs över till ditt CRM eller sekvenseringsverktyg.","ctaLabel":"Guide till berikning av leadlistor","ctaHref":"https://www.datablist.com/how-to/lead-list-building-guide"},{"title":"CRM-rensning","body":"Koppla en fristående företagspost till dess riktiga webbplats igen.","ctaLabel":"Guide till CRM-rensning","ctaHref":"https://www.datablist.com/how-to/clean-enrich-refresh-data-crm"},{"title":"Företagsresearch inom nischade segment","body":"Hitta webbplatser för mindre eller nyare företag som generella sökmotorer och inaktuella databaser missar.","ctaLabel":"Guide till företagsresearch","ctaHref":"https://www.datablist.com/how-to/chatgpt-search-on-spreadsheet"}]},"COMPARISON":{"TITLE":"Datablist jämfört med andra domänsökverktyg","HEADERS":["Verktyg","Månadskostnad","Kostnad/domän","Passar bäst för"],"ROWS":[{"tool":"Datablist","cost":"$$25","perDomain":"$$0.005","bestFor":"Prisvärd uppbyggnad av leadlistor och databerikning i stor skala","favicon":"/free-tools/domain-finder/tool-favicons/datablist.png"},{"tool":"Company URL Finder","cost":"$$49","perDomain":"$$0.049","bestFor":"Team som redan arbetar i Google Kalkylark","favicon":"/free-tools/domain-finder/tool-favicons/company-url-finder.png"},{"tool":"CUFinder","cost":"$$49","perDomain":"$$0.049","bestFor":"Omfattande API-integrationer","favicon":"/free-tools/domain-finder/tool-favicons/cufinder.png"},{"tool":"Clay","cost":"$$185","perDomain":"$$0.0745","bestFor":"Komplexa workflows för databerikning","favicon":"/free-tools/domain-finder/tool-favicons/clay.png"},{"tool":"Phantombuster","cost":"$$69","perDomain":"Varierar","bestFor":"Befintliga Phantombuster-användare","favicon":"/free-tools/domain-finder/tool-favicons/phantombuster.png"},{"tool":"Marcom Robot","cost":"$$59","perDomain":"$$0.059","bestFor":"Begränsade användningsområden","favicon":"/free-tools/domain-finder/tool-favicons/marcom-robot.png"},{"tool":"BuiltWith","cost":"$$295","perDomain":"Premium","bestFor":"Teknikbaserad prospektering","favicon":"/free-tools/domain-finder/tool-favicons/builtwith.png"}],"NOTE":"Priserna avser varje verktygs billigaste betalplan med månadsvis fakturering och kontrollerades mot leverantörens egen prissida i september 2026. Kostnaden per domän har beräknats utifrån antalet sökningar som ingår i planen.","SOURCES":[{"n":1,"label":"Datablists priser","href":"https://www.datablist.com/pricing"},{"n":2,"label":"Company URL Finders planer","href":"https://companyurlfinder.com/plans"},{"n":3,"label":"CUFinders priser","href":"https://cufinder.io/pricing"},{"n":4,"label":"Clays priser","href":"https://www.clay.com/pricing"},{"n":5,"label":"Phantombusters priser","href":"https://phantombuster.com/pricing"},{"n":6,"label":"Marcom Robots priser","href":"https://www.marcomrobot.com/data-enrichment/pricing"},{"n":7,"label":"BuiltWiths planer","href":"https://builtwith.com/plans"}],"CTA":{"TITLE":"Sluta betala per domän","BODY":"Datablist kostar $0.005 per domän. Börja gratis med 500 krediter, utan kort.","LABEL":"Skapa ett kostnadsfritt konto"}},"RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du hantera större volymer?","ENRICHMENT":{"label":"Domain Finder-berikning","href":"https://www.datablist.com/enrichments/find-domain-for-company-name-bulk","blurb":"Bearbeta ett helt kalkylark i stället för tio namn åt gången, med samma matchning som först söker i databasen och sedan på Google."},"TOOLS":[{"label":"Sales Navigator Scraper","href":"https://www.datablist.com/tools/sales-navigator-scraper","blurb":"Hämta leads från en sök-URL utan att använda ditt LinkedIn-konto."},{"label":"Gratis Email Finder","href":"https://www.datablist.com/tools/email-finder","blurb":"Hitta jobb-email utifrån ett namn och ett företag."},{"label":"Company Name Cleaner","href":"https://www.datablist.com/tools/company-name-cleaner","blurb":"Ta bort bolagssuffix och korrigera skiftläge med AI-rensaren."}]},"FAQ":{"TITLE":"Vanliga frågor","ITEMS":[{"question":"Hur många domäner kan jag söka efter gratis?","answer":"10 namn per körning, utan konto eller kort. Kör verktyget igen när du behöver, inom gränserna för skälig användning som förhindrar automatiserad användning i stor skala."},{"question":"Vad gör jag om jag behöver bearbeta fler än 10 samtidigt?","answer":"Skapa ett kostnadsfritt konto så försvinner gränsen på 10 namn. Du får 500 kostnadsfria krediter från start för att direkt testa större batcher. För regelbunden massbearbetning ger Starter-planens 5,000 krediter per månad god marginal, till en kostnad på $0.005 per domänträff i databasen eller $0.0125 per Google-sökning."},{"question":"Vad hände med Clearbits kostnadsfria Name to Domain API?","answer":"Det avvecklades den 30 april 2025. Det här verktyget är en fristående direkt ersättare och har en konfidensnivå per rad, något Clearbit aldrig erbjöd."},{"question":"Kan jag använda verktyget via ett API?","answer":"Ja, Datablist erbjuder ett API från företagsnamn till domän som gör att du kan hitta ett företags webbplats programmatiskt. Installationsanvisningar finns i guiden för API-implementering på datablist.com/how-to/company-name-to-domain-api-enrichment."}]},"BREADCRUMB_CURRENT":"Domain Finder","SCHEMA_NAME":"Datablists kostnadsfria sökverktyg från företagsnamn till domän","SCHEMA_DESCRIPTION":"Kostnadsfritt onlineverktyg för att hitta domäner från företagsnamn. Klistra in en lista med företagsnamn och få deras webbplatser, med en konfidensnivå för varje träff."},"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":"Din lista","DESCRIPTION":"Klistra in upp till 10 företagsnamn och hitta deras domäner på några sekunder.","PLACEHOLDERS":["Datablist","Celonis","Företagsnamn"],"ROW_LABEL":"Företagsnamn, rad {number}","REMOVE_ROW":"Ta bort rad {number}","ADD_ROW":"Lägg till en rad","ROW_LIMIT":"Du har nått gränsen på 10 rader för gratisverktyget.","EMPTY":"Klistra in eller skriv ett företagsnamn för att komma igång","READY_ONE":"1 namn klart","READY_MANY":"{count} namn klara","FIND_ONE":"Hitta domän","FIND_MANY":"Hitta domäner","SAMPLE_BUTTON":"Visa exempelresultat","SAMPLE_NOTICE":"Exempelresultat · Dessa tio exempel är endast illustrativa. Konfidensnivåerna är exempel, inte aktuella resultat. Inga krediter användes.","REJECTED_ONE":"1 post verkade inte vara ett företagsnamn och hoppades över.","REJECTED_MANY":"{count} poster verkade inte vara företagsnamn och hoppades över.","OVERFLOW":"Du klistrade in {count} namn – endast de första 10 bearbetades gratis. Den kostnadsfria provperioden omfattar upp till 500 sökningar (1 kredit vardera).","PROCESS_ALL":"Bearbeta alla {count}","NUMBER":"#","COMPANY_NAME":"Företagsnamn","DOMAIN":"Domän","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Ingen träff hittades","COPY_ROW":"Kopiera domän för {name}","START_OVER":"Börja om","COPY_ALL":"Kopiera alla","DOWNLOAD_CSV":"Ladda ner CSV","DOWNLOAD_FILENAME":"domains.csv","HIGH":"Hög","MEDIUM":"Medel","LOW":"Låg","VERY_LOW":"Mycket låg","PRIVACY":"Dina namn och resultat är tillgängliga i den här webbläsaren i 24 timmar. Datablist lagrar uppgiftsdata längre för att kunna slutföra och stödja sökningen.","UNAVAILABLE":"Sökningen är tillfälligt otillgänglig. Du kan fortfarande använda Datablist-appen.","QUOTA_REACHED":"Du har förbrukat dagens kvot för gratisverktyget. Kom tillbaka om {hours} tim {minutes} min eller fortsätt i Datablist.","QUOTA_RUN_TOO_LARGE":"Den här sökningen överskrider din återstående dagskvot för gratisverktyget. Prova med färre namn eller kom tillbaka om {hours} tim {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} krediter kvar i dag","QUOTA_REDUCE":"{remaining} krediter kvar i dag. Prova med färre namn.","QUOTA_WAIT":"Dagens kvot är förbrukad. Kom tillbaka om {hours} tim {minutes} min.","CHALLENGE_REQUIRED":"Slutför verifieringen innan du startar sökningen.","RUN_FAILED":"Sökningen kunde inte slutföras. Försök igen senare.","SUBMISSION_UNKNOWN":"Vi kontrollerar om din sökning har startat. Ladda om sidan för att kontrollera statusen. Skicka inte in den igen.","RETRY_STATUS":"Vi kunde inte kontrollera sökningen just nu. Ladda om sidan och försök igen.","EXPIRED":"Resultatet är inte längre tillgängligt i den här webbläsaren.","BANNER":"Skapa ett kostnadsfritt konto och få 500 kostnadsfria sökningar från företagsnamn till domän. Inget kort krävs.","BANNER_CTA":"Få 500 kostnadsfria krediter","RESULT_CTA":"Starta en provperiod och få 500 kostnadsfria sökningar från företagsnamn till domän!","RESULT_CTA_BUTTON":"Starta gratis provperiod","CSV_NAME":"Namn","LOADING":"Laddar","ERROR":"Fel","COMPLETE":"Klar","HISTORY_TITLE":"Dina senaste sökningar","HISTORY_DESCRIPTION":"Öppna eller ta bort en sökning från den här webbläsaren medan resultaten är tillgängliga, i upp till 24 timmar. Att ta bort den här stoppar inte sökningen och återställer inte krediter.","HISTORY_REMOVE":"Ta bort {name} från den här webbläsaren","HISTORY_COMPLETE":"Klar","HISTORY_FAILED":"Behöver åtgärdas","HISTORY_ATTENTION":"Kontrollerar status","HISTORY_RUNNING":"Pågår","COPY_ERROR":"Kopieringen misslyckades. Försök igen eller ladda ner CSV-filen.","DEBUG_NOTICE":"Felsökningsresultat från betaåtgärden. Detta är testdata, inte en sökning efter den angivna personen.","MORE_OPTIONS":"Fler alternativ","COUNTRY_LABEL":"Målland","COUNTRY_HELP":"Begränsa företagsdata och Google-sökningen som reservmetod till ett visst land.","ALL_COUNTRIES":"Alla länder","RUN_OPTIONS":"Körningsalternativ","OPTION_ON":"På","OPTION_OFF":"Av"}},"ToolsSalesNavigatorScraper":{"CONTENT":{"META_TITLE":"Gratis Sales Navigator-scraper | Datablist","META_SOCIAL_TITLE":"Gratis Sales Navigator-scraper","META_DESCRIPTION":"Klistra in URL:en till en Sales Navigator-sökning och förhandsgranska leads gratis. Ingen LinkedIn-inloggning, inga cookies och inget sessions-ID, så ditt konto utsätts aldrig för risk.","SCHEMA_NAME":"Datablists kostnadsfria Sales Navigator-scraper","SCHEMA_DESCRIPTION":"Gratis Sales Navigator-scraper online. Klistra in en sök-URL och förhandsgranska leads utan att ansluta ett LinkedIn-konto – inga cookies eller sessions-ID krävs.","BREADCRUMB_CURRENT":"Sales Navigator-scraper","HERO":{"TITLE":"Testa marknadens säkraste Sales Navigator-scraper gratis!","DESCRIPTION":"Klistra in en sök-URL och förhandsgranska leads direkt."},"SAFETY":{"TITLE":"Därför utsätter detta inte ditt konto för risk","ITEMS":[{"safe":true,"label":"Datablist","body":"Behöver bara en sak: din sök-URL. Inga inloggningsuppgifter, cookies, sessions-ID:n eller tillägg."},{"safe":false,"label":"Chrome-tillägg","body":"Evaboot, Skrapp och liknande verktyg automatiserar klick i din inloggade session. LinkedIns användaravtal förbjuder detta, och det är ditt konto som utsätts för risken."},{"safe":false,"label":"Cookie-baserade molnverktyg","body":"Phantombuster och de flesta Apify-aktörer ber dig att klistra in din li_at-sessionscookie. Det innebär att du lämnar över din inloggade session till en tredje part."}]},"SOCIAL":{"TITLE":"Används av både startups och storföretag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för 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":"Så fungerar det","STEPS":[{"step":1,"title":"Gör din sökning i Sales Navigator","body":"Filtrera efter jobbtitel, senioritetsnivå, plats, antal anställda, bransch eller något annat Sales Navigator-filter tills resultatlistan motsvarar den målgrupp du faktiskt vill nå. Kopiera sedan URL:en direkt från adressfältet."},{"step":2,"title":"Klistra in URL:en här","body":"URL:en är det enda vi behöver. Ingen inloggning, inget lösenord, inget webbläsartillägg och ingen sessionscookie som kopieras från dina utvecklarverktyg. Vi tar bort de kontospecifika parametrar som Sales Navigator lägger till innan URL:en skickas vidare, eftersom vi varken vill ha eller använder dem."},{"step":3,"title":"Vi hämtar datan från vår egen infrastruktur","body":"Extraheringen körs på Datablists servrar, aldrig via din LinkedIn-session. Därför kan ingenting spåras till ditt konto eller räknas mot LinkedIns aktivitetsgränser. Du får tillbaka en ren tabell som är redo att berikas med emails eller skickas till ditt CRM."}],"CTA":{"TITLE":"Hämta en hel sökning, inte bara tio leads","BODY":"Ett gratiskonto börjar med 500 credits och ansluter aldrig till ditt LinkedIn-konto.","LABEL":"Skapa ett gratiskonto"}},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Bygg en leadlista från grunden","body":"Omvandla en välfiltrerad Sales Navigator-sökning till en ren, deduplicerad lista som du faktiskt kan arbeta med, i stället för att bläddra igenom resultaten manuellt.","ctaLabel":"Guide till att bygga leadlistor","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Hitta emails till de leads du hämtar","body":"Ett namn och en titel räcker inte för att kontakta någon. Kör den hämtade listan genom en waterfall email finder som kontrollerar fler än 20 leverantörer innan den ger upp om en kontakt.","ctaLabel":"Hitta emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Exportera en hel sökning på en gång","body":"Om du bläddrar manuellt genom resultaten i Sales Navigator begränsas du till några tiotal leads. Det är först när du exporterar hela sökningen på en gång som listan blir värd att bygga.","ctaLabel":"Exportera leads från Sales Navigator","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"Scrapa utan att riskera att bli blockerad","body":"Om du har skjutit upp scraping för att du inte vill förlora ditt nätverk är detta ett workflow som helt eliminerar risken för ditt konto.","ctaLabel":"Guide till säker scraping","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Jämförelse av Sales Navigator-scrapers","INTRO":"Alla andra verktyg nedan kör scrapingen via din egen LinkedIn-session med hjälp av ett tillägg eller en sessionscookie som du lämnar ut. Datablist är det enda som aldrig ansluter till ditt konto.","HEADERS":["Verktyg","Ditt LinkedIn-konto","Vad verktyget behöver från dig","Startpris","Kostnad/lead","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["Ansluter aldrig till det","En sök-URL","$$25/mån","$$0.05","Ja, 20+ leverantörer"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["Utsätts för risk","Tillägg på ditt konto","$$39/mån","$$0.039","Ja"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["Utsätts för risk","Tillägg på ditt konto","$$9/mån","$$0.09","Ja"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["Utsätts för risk","Din sessionscookie","$$69/mån","Varierar","Ja"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["Utsätts för risk","Din sessionscookie","$$19/mån","Varierar","Nej"]}],"NOTE":"Priserna är respektive verktygs billigaste betalplan med månadsfakturering och kontrollerades mot leverantörens egen prissida i september 2026. Kostnaden per lead beräknas utifrån antalet leads som ingår i planen.","SOURCES":[{"n":1,"label":"Datablists priser","href":"/pricing"},{"n":2,"label":"Skrapps priser","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evaboots priser","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombusters priser","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apifys priser","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Det enda verktyget som inte rör ditt konto","BODY":"Börja gratis med 500 credits. Inget tillägg, ingen sessionscookie och inget betalkort.","LABEL":"Skapa ett gratiskonto"}},"RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du detta i stor skala?","ENRICHMENT":{"label":"Sales Navigator-scraper","href":"/sources/linkedin-search-scraper","blurb":"Scrapa en hel sökning i stället för en förhandsgranskning med tio leads, fortfarande utan att ansluta ditt LinkedIn-konto."},"TOOLS":[{"label":"Gratis domänsökare","href":"/tools/domain-finder","blurb":"Omvandla företagsnamn till webbplatser, med en konfidensbedömning."},{"label":"Gratis email finder","href":"/tools/email-finder","blurb":"Hitta jobbemails utifrån namn och företag."},{"label":"Rensa företagsnamn","href":"/tools/company-name-cleaner","blurb":"Ta bort bolagssuffix och korrigera versaler och gemener med AI-rensaren."}]},"FAQ":{"TITLE":"Vanliga frågor","ITEMS":[{"question":"Behöver jag en Sales Navigator-prenumeration?","answer":"Ja. Det är Sales Navigators avancerade filter som skapar den sök-URL som verktyget läser, så du behöver en aktiv prenumeration för att skapa en sådan. Du behöver inte ge oss åtkomst till prenumerationen."},{"question":"Varför är detta säkert när andra scrapers inte är det?","answer":"Alla andra verktyg i jämförelsen ovan kör scrapingen via din egen inloggade LinkedIn-session, antingen genom ett webbläsartillägg eller en sessionscookie som du klistrar in. LinkedIns användaravtal förbjuder detta, och eventuella åtgärder drabbar ditt konto. Datablist läser bara sök-URL:en och extraherar datan från sin egen infrastruktur, så ingenting kan spåras tillbaka till dig."},{"question":"Vad kostar en fullständig scraping?","answer":"20 credits per lead när ingenting är anslutet till ditt LinkedIn-konto, eller 10 om du väljer att ansluta ditt eget konto. Datablist kostar från $25/månad med månadsfakturering och inkluderar 5,000 credits per månad."},{"question":"Finns det några begränsningar i Datablists Sales Navigator-scraper?","answer":"Ja. Den kan inte scrapa sökningar som innehåller kontobundna filter som \"Följer din företagssida\", sparade listor eller något som synkroniserats från ditt CRM, eftersom dessa finns bakom din personliga inloggning och vi inte ansluter till den."}]}},"TOOL":{"LABEL":"URL till din Sales Navigator-sökning","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"Ingen LinkedIn-inloggning, inga cookies och inget sessions-ID. Vi ansluter aldrig till ditt konto.","SUBMIT":"Scrapa leads","BUSY":"Scrapar","RESULTS":"Här är de första {count} leads från din sökning, gratis.","NAME":"Namn","JOB_TITLE":"Titel","COMPANY":"Företag","LOCATION":"Plats","COPY":"Kopiera","COPIED":"Kopierad","DOWNLOAD":"Ladda ned CSV","NOTE":"Den kostnadsfria förhandsgranskningen visar {count} leads utan kontaktuppgifter. Emails och profil-URL:er kommer från Datablists berikningar när du kör den fullständiga scrapingen.","ERROR_EMPTY":"Klistra in URL:en till en Sales Navigator-sökning för att börja.","ERROR_URL":"Det där ser inte ut som en URL.","ERROR_HOST":"Länken leder till {host}, inte till LinkedIn.","ERROR_PROFILE":"Det där är en enskild LinkedIn-profil, inte en sökning.","ERROR_RECORD":"Det där är en enskild Sales Navigator-post, inte en sökning.","ERROR_SEARCH":"Det där är en LinkedIn-länk, men inte en Sales Navigator-sökning.","ERROR_FAILURE":"Scrapingen slutfördes inte. Försök igen om en liten stund.","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"Scrapa hela listan","ERROR_HINTS":{"url":"Öppna din sökning i Sales Navigator och kopiera adressen från adressfältet.","host":"Sales Navigator-URL:er börjar med linkedin.com/sales/search/","profile":"Gör först en sökning i Sales Navigator och kopiera sedan URL:en.","record":"Gå tillbaka till sökresultaten och kopiera URL:en därifrån.","search":"Leta efter 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":"Därför är ett waterfall bättre än en enskild sökning","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":"Används av både startups och stora företag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för lead generation"}],"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":"Så fungerar 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":"Ett gratiskonto börjar med 500 credits och kan bearbeta en hel lista på en gång.","LABEL":"Skapa ett gratiskonto"}},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Bygg en lead-lista med personer som faktiskt går att kontakta","body":"Ett namn och ett företag räcker inte för att ta kontakt. Att omvandla en scrapad eller exporterad lista till en lista som du kan skicka email till är steget som gör den värdefull.","ctaLabel":"Hitta email i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Fyll luckorna i en befintlig lista","body":"De flesta exporter är bara delvis kompletta. Kör endast raderna som saknar en adress och betala ingenting för dem som inte ger något resultat.","ctaLabel":"Skapa en lead-lista med email","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"Använd dina egna leverantörsnycklar","body":"Betalar du redan för Hunter, Dropcontact eller liknande? Kör waterfall-sökningen med dina egna nycklar och hoppa över Datablists creditsystem helt.","ctaLabel":"Anpassad Waterfall Email Finder","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"Personalisera innan du skickar","body":"En verifierad adress är början, inte slutet. Det som avgör om ditt email fungerar är om den första raden känns skriven för just den personen.","ctaLabel":"Personalisering av kalla email","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"Vad 1 000 hittade email faktiskt kostar","INTRO":"Priser per credit döljer det som faktiskt spelar roll: vad du betalar för tusen adresser som du verkligen kan skicka till. Hunter är billigare per email eftersom tjänsten söker i ett enda index. Ett waterfall kostar mer per sökning men hittar personer som en enskild källa saknar. Bland waterfall-tjänsterna är Datablist billigast.","HEADERS":["Verktyg","Kostnad/1 000 email","Så hittar verktyget dem","Missar"],"BEST_LABEL":"Lägst av alla waterfall-tjänster","BEST_LABEL_MOBILE":"{cost} · lägst av alla waterfall-tjänster","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"Index från en enda källa","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"Waterfall med 20+ leverantörer","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"Waterfall med 20+ leverantörer","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"Waterfall med 20+ leverantörer","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"Egen databas","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150+ integrationer","misses":"Ingen kostnad","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"Endast offert","approach":"Egen databas","misses":"Ej publicerat","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"Endast offert","approach":"Egen databas","misses":"Ej publicerat","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"Kostnad per 1 000 hittade email, baserat på Datablists egen publicerade jämförelse och respektive leverantörs prissida, kontrollerat i september 2026. Alla listade verktyg tar endast betalt för adresser de hittar, så priserna är jämförbara. Leverantörer som endast lämnar offert publicerar inga priser.","SOURCES":[{"n":1,"label":"Datablists CPME-analys","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablists priser","href":"/pricing"},{"n":3,"label":"Hunter.io:s priser","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContacts priser","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrichs priser","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apollos priser","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clays priser","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"Betala bara för email du faktiskt får","BODY":"Börja gratis med 500 credits. Sökningar utan resultat kostar ingenting.","LABEL":"Skapa ett gratiskonto"}},"RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du göra detta i stor 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 Domain Finder","href":"/tools/domain-finder","blurb":"Omvandla företagsnamn till webbplatser, med en säkerhetsbedömning."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Hämta leads från en sök-URL utan att röra ditt LinkedIn-konto."},{"label":"Company Name Cleaner","href":"/tools/company-name-cleaner","blurb":"Ta bort bolagssuffix och korrigera stora och små bokstäver med AI-rensaren."}]},"FAQ":{"TITLE":"Vanliga frågor","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":"Hur vill du söka?","MODE_NAME":"Namn + företag","MODE_LINKEDIN":"LinkedIn-URL","FIRST_NAME":"Förnamn","LAST_NAME":"Efternamn","COMPANY":"Företag eller domän","LINKEDIN":"URL till LinkedIn-profil","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"En domän fungerar bättre än ett företagsnamn.","HINT_LINKEDIN":"En personprofil, inte en företagssida.","COPY":"Kopiera","COPIED":"Kopierad","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":"Skapa ett gratiskonto och få 500 credits, vilket räcker till 20 hittade email. Inget kort behövs.","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 rensning av företagsnamn | Datablist","META_SOCIAL_TITLE":"Gratis rensning av företagsnamn","META_DESCRIPTION":"Rensa upp till 10 företagsnamn per körning med AI. Normalisera skiftläge och juridiska bolagsformer och kopiera eller exportera sedan resultaten. Ingen registrering krävs; en daglig gräns gäller.","SCHEMA_NAME":"Datablist – gratis rensning av företagsnamn","SCHEMA_DESCRIPTION":"Rensa upp till 10 företagsnamn per körning med AI. Normalisera skiftläge och juridiska bolagsformer och kopiera eller exportera sedan resultaten. Ingen registrering krävs; en daglig gräns gäller.","BREADCRUMB_CURRENT":"Rensning av företagsnamn","HERO":{"TITLE":"Normalisera röriga företagsnamn gratis","DESCRIPTION":"Klistra in en lista, rätta skiftläget och välj om juridiska suffix ska behållas. 10 namn per körning, ingen registrering krävs."},"FORMULA":{"TITLE":"Varför inte bara använda en kalkylbladsformel?","QUOTE":"”Det slutar med en enorm, nästlad SUBSTITUTE-formel som slutar fungera om den stöter på ett suffix den inte känner igen.” Det är fällan med egenbyggda formler: de känner bara till de mönster du själv har tänkt på, och varje nytt format innebär ännu en ändring i något som redan är svårt att läsa. En AI-baserad rensare läser i stället namnet i sitt sammanhang och kan därför hantera ett suffix, ett visst skiftläge eller en branschförkortning som ingen har skrivit en regel för.","HEADERS":["Före","Efter","Vad det visar"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"VERSALER har korrigerats, suffixet har tagits bort"},{"raw":"müller & söhne gmbh & co. kg","note":"gemener har korrigerats, det sammansatta suffixet prioriteras framför enbart ”GmbH”"},{"raw":"\"Tech Company, INC.\"","note":"omslutande citattecken och suffix har tagits bort"},{"raw":"SAP","note":"finns i listan över tillåtna akronymer och lämnas helt oförändrat"},{"raw":"1234567 Ontario Inc.","note":"ett format för numrerade företag; granska det rensade namnet innan du använder det"}],"NOTE":"Illustrativa exempel. AI-rensaren returnerar ett rensat företagsnamn, men inga konfidensvärden eller förklaringar. Granska viktiga namn innan du använder dem.","REVIEW":"Granska"},"FIXES":{"TITLE":"Det här åtgärdas","ITEMS":[{"icon":"Scissors","title":"Borttagning av juridiska suffix","body":"AI-rensaren kan ta bort juridiska bolagsformer som Inc., LLC, Ltd., GmbH och SAS och samtidigt behålla det igenkännbara företagsnamnet."},{"icon":"CaseSensitive","title":"Korrigering av skiftläge","body":"Rensaren normaliserar inkonsekvent användning av stora och små bokstäver och kan bevara välkända namn och förkortningar."},{"icon":"Eraser","title":"Blanksteg, citattecken och skiljetecken","body":"Tar bort dubbla blanksteg och omslutande citattecken som följt med vid inklistring från ett kalkylblad samt rensar bort avslutande kommatecken eller punkter som blir kvar när ett suffix tas bort."},{"icon":"CopyCheck","title":"Jämför före och efter","body":"Jämför de ursprungliga och rensade namnen innan du kopierar resultaten eller laddar ned en CSV-fil."}]},"SOCIAL":{"TITLE":"Betrott av startups och storföretag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för 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":"Så fungerar det","STEPS":[{"step":1,"title":"Klistra in din lista","body":"Ett företagsnamn per rad, upp till 10 per körning. Fungerar med data direkt från en CRM-export, en scrapad leadlista eller en kalkylbladskolumn – även med rörigt skiftläge och juridiska suffix. Gränsen finns eftersom varje namn kostar krediter att behandla, inte för att verktyget får problem med fler namn."},{"step":2,"title":"Rensaren normaliserar varje namn","body":"AI-rensaren returnerar ett rensat namn så att du kan jämföra det med originalet. Den returnerar inga konfidensvärden eller förklaringar."},{"step":3,"title":"Kopiera eller ladda ned resultatet","body":"Kopiera de normaliserade namnen direkt till urklipp eller ladda ned hela jämförelsen som en CSV-fil med det ursprungliga namnet, det rensade namnet och resultatstatusen för varje rad."}],"CTA":{"TITLE":"Rensa fler än 10 åt gången","BODY":"Ett gratiskonto innehåller 500 krediter från start, vilket räcker till 1 000 företagsnamn.","LABEL":"Skapa ett gratiskonto"}},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Normalisera namn innan de hamnar i ditt CRM","body":"Fånga upp inkonsekvent skiftläge och juridiska suffix innan dubbletter som ”Acme Inc” och ”ACME Corporation” samlas i samma pipeline.","ctaLabel":"Så normaliserar du företagsnamn","ctaHref":"/how-to/normalize-company-names"},{"title":"Ta bort dubbletter i en befintlig lista","body":"Två rader som bara skiljer sig åt genom skiftläge eller ett suffix tolkas som olika företag av de flesta verktyg. Normalisera först, så blir dubbletterna tydliga.","ctaLabel":"Så tar du bort dubbletter bland företagsnamn","ctaHref":"/how-to/dedupe-company-names"},{"title":"Uppdatera en inaktuell CRM-export","body":"I exporter från äldre system har inkonsekventa namn ofta hunnit samlas. Normalisera dem på vägen tillbaka in i systemet i stället för att föra röran vidare.","ctaLabel":"Rensa, berika och uppdatera CRM-data","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"Normalisera en lista före ett email-utskick","body":"Fält med företagsnamn används i personaliseringstokens. Ett namn med överflödiga citattecken eller som SKRIKER MED VERSALER är en detalj som mottagaren faktiskt lägger märke till.","ctaLabel":"Guide till rensning av emaillistor","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"Normalisera din lista gratis","RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du göra detta i stor skala?","ENRICHMENT":{"label":"Berikning för rensning av företagsnamn","href":"/enrichments/company-name-cleaner","blurb":"Samma rensare utan gränsen på 10 namn, körd direkt på ett dataset i Datablist. 0,5 krediter per namn, och upprepade rader hämtas från cache i stället för att debiteras två gånger."},"TOOLS":[{"label":"Gratis domänsökare","href":"/tools/domain-finder","blurb":"Hitta webbplatser från företagsnamn, med en konfidensbedömning."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Leads från en sök-URL utan att använda ditt LinkedIn-konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Jobbmailadresser utifrån ett namn och ett företag."}]},"FAQ":{"TITLE":"Vanliga frågor","ITEMS":[{"question":"Är det här gratisverktyget AI-baserat?","answer":"Ja. Det använder Datablists AI-baserade rensare för företagsnamn, samma som ligger bakom den betalda berikningen. Den läser sammanhang och branschjargong i stället för att matcha mot en fast lista med suffix. Gränsen är 10 namn per körning eftersom varje namn kostar 0,5 krediter att behandla."},{"question":"Hur många namn kan jag normalisera gratis?","answer":"Upp till 10 per körning, inom en daglig gräns på 5 krediter per webbläsarsession och IP-adress. Varje inskickat namn reserverar 0,5 krediter. En reservation som inte används frigörs när körningen är klar. Gränsen återställs vid midnatt UTC."},{"question":"Returnerar rensaren konfidensvärden?","answer":"Nej. Den returnerar ett rensat företagsnamn. Tabellen visar om det returnerade namnet skiljer sig från din inmatning. Granska viktiga eller tvetydiga namn innan du använder dem."},{"question":"Vart skickas namnen jag klistrar in?","answer":"De skickas till Datablist för att normaliseras eftersom rensaren är en AI-modell som körs i vår infrastruktur och inte ett skript i din webbläsare. Inget körs förrän du trycker på knappen, så du kan se exakt vad som hämtades från urklipp innan något skickas."},{"question":"Vad är skillnaden mellan detta och den betalda berikningen?","answer":"Samma rensare, olika skala. Den här sidan behandlar 10 namn åt gången utan konto. Berikningen körs direkt på ett dataset i Datablist utan gränsen på 10 namn och kostar 0,5 krediter per namn. Du behöver därför inte exportera och klistra in på nytt, och upprepade rader hämtas från cache i stället för att debiteras två gånger."},{"question":"Kan jag normalisera namn som jag redan har importerat till Datablist?","answer":"Ja – den betalda berikningen körs direkt på ett dataset i Datablist, så du behöver inte exportera och klistra in på nytt. Det här gratisverktyget är avsett för en kort lista som du har till hands just nu."}]}},"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":"Din lista","DESCRIPTION":"Klistra in upp till 10 företagsnamn för att korrigera skiftläge och juridiska bolagsformer.","PLACEHOLDERS":["Acme Solutions LLC","MÜLLER & SÖHNE GMBH","Företagsnamn"],"ROW_LABEL":"Företagsnamn, rad {number}","REMOVE_ROW":"Ta bort rad {number}","ADD_ROW":"Lägg till en rad","ROW_LIMIT":"Upp till 10 företagsnamn per körning.","EMPTY":"Klistra in eller skriv ett företagsnamn för att börja","READY_ONE":"1 namn klart","READY_MANY":"{count} namn klara","FIND_ONE":"Rensa namn","FIND_MANY":"Rensa namn","SAMPLE_BUTTON":"Visa exempelresultat","SAMPLE_NOTICE":"Illustrativa exempelresultat. Konfidensbedömningarna är exempel, inte aktuella värden. Den här förhandsvisningen använder inga krediter.","REJECTED_ONE":"En inmatning kunde inte användas. Kontrollera formatet.","REJECTED_MANY":"{count} inmatningar kunde inte användas. Kontrollera deras format.","OVERFLOW":"Du klistrade in {count} namn. Upp till 10 kan behandlas samtidigt.","PROCESS_ALL":"Rensa alla {count} namn i Datablist","NUMBER":"#","COMPANY_NAME":"Företagsnamn","DOMAIN":"Domän","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Inget rensat namn returnerades","COPY_ROW":"Kopiera rensat namn","START_OVER":"Börja om","COPY_ALL":"Kopiera normaliserade namn","DOWNLOAD_CSV":"Ladda ned CSV","DOWNLOAD_FILENAME":"rensade-foretagsnamn.csv","HIGH":"Hög","MEDIUM":"Medel","LOW":"Låg","VERY_LOW":"Mycket låg","PRIVACY":"Dina inmatningar och resultat är tillgängliga i den här webbläsaren i 24 timmar. Datablist sparar uppgiftsdata längre för att kunna slutföra och stödja körningen.","UNAVAILABLE":"Det här gratisverktyget är tillfälligt otillgängligt. Du kan fortfarande använda Datablist-appen.","QUOTA_REACHED":"Du har använt dagens kvot för det här gratisverktyget. Kom tillbaka om {hours} tim {minutes} min eller fortsätt i Datablist.","QUOTA_RUN_TOO_LARGE":"Den här sökningen överskrider din återstående dagskvot för gratisverktyget. Prova med färre namn eller kom tillbaka om {hours} tim {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} krediter kvar i dag","QUOTA_REDUCE":"{remaining} krediter kvar i dag. Prova med färre namn.","QUOTA_WAIT":"Dagens kvot är förbrukad. Kom tillbaka om {hours} tim {minutes} min.","CHALLENGE_REQUIRED":"Slutför verifieringen innan du kör sökningen.","RUN_FAILED":"Körningen kunde inte slutföras. Du kan öppna eventuella tillgängliga resultat eller försöka igen senare.","SUBMISSION_UNKNOWN":"Vi kontrollerar om din sökning har startat. Ladda om sidan för att kontrollera dess status. Skicka inte in den igen.","RETRY_STATUS":"Vi kunde inte kontrollera sökningen just nu. Ladda om sidan och försök igen.","EXPIRED":"Resultatet är inte längre tillgängligt i den här webbläsaren.","BANNER":"Registrera ett gratiskonto och få 500 krediter, tillräckligt för att rensa 1 000 företagsnamn. Inget kort krävs.","BANNER_CTA":"Få 500 kostnadsfria krediter","RESULT_CTA":"Rensa större listor i Datablist.","RESULT_CTA_BUTTON":"Öppna Datablist","CSV_NAME":"Namn","LOADING":"Läser in","ERROR":"Fel","COMPLETE":"Klar","HISTORY_TITLE":"Dina senaste sökningar","HISTORY_DESCRIPTION":"Öppna eller ta bort en sökning från den här webbläsaren medan resultaten är tillgängliga, i upp till 24 timmar. Om du tar bort den här stoppas inte sökningen och inga krediter återställs.","HISTORY_REMOVE":"Ta bort {name} från den här webbläsaren","HISTORY_COMPLETE":"Klar","HISTORY_FAILED":"Kräver åtgärd","HISTORY_ATTENTION":"Kontrollerar status","HISTORY_RUNNING":"Pågår","CLEAN_ONE":"Rensa namn","CLEAN_MANY":"Rensa namn","NORMALIZE_ALL":"Normalisera alla {count}","ORIGINAL":"Original","NORMALIZED":"Normaliserat","WHAT_CHANGED":"Vad ändrades","REVIEW":"Granska","DUPLICATE_OF":"Dubblett av ”{name}”","NO_CHANGE":"Ingen ändring behövs","CHANGES":{"spaces":"Extra blanksteg har tagits bort","quotes":"Citattecken har tagits bort","suffix":"Juridiskt suffix har tagits bort","casing":"Skiftläget har korrigerats"},"COPY":"Kopiera normaliserade namn","COPIED":"Kopierat","DOWNLOAD":"Ladda ned CSV","REVIEW_CTA_ONE":"1 rad är markerad med Granska – rensaren var osäker på den. Datablists AI-baserade berikning läser sammanhang, inte bara en lista med suffix.","REVIEW_CTA_MANY":"{count} rader är markerade med Granska – rensaren var osäker på dem. Datablists AI-baserade berikning läser sammanhang, inte bara en lista med suffix.","SEE_ENRICHMENT":"Visa berikningen","DEBUG_NOTICE":"Felsökningsresultat från betaåtgärden. Detta är testdata, inte en sökning efter den inskickade personen.","CHANGED":"Ändrat","UNCHANGED":"Oförändrat","COPY_ERROR":"Kopieringen misslyckades. Försök igen eller ladda ned CSV-filen.","MORE_OPTIONS":"Fler alternativ","KEEP_SUFFIX_LABEL":"Behåll juridiska suffix","KEEP_SUFFIX_HELP":"Behåll juridiska bolagsformer som Inc., LLC, Ltd. och GmbH i de rensade namnen.","RUN_OPTIONS":"Körningsalternativ","OPTION_ON":"På","OPTION_OFF":"Av","CONFIDENCE_HELP":"AI-uppskattad konfidens för att det rensade namnet bevarar företagets identitet. Detta är ingen extern verifiering."}},"ToolsInstagramFollowerScraper":{"CONTENT":{"META_TITLE":"Gratis Instagram follower scraper | Datablist","META_SOCIAL_TITLE":"Gratis Instagram follower scraper","META_DESCRIPTION":"Gratis Instagram follower scraper online. Extrahera följare från valfri offentlig Instagram-profil utan inloggning, cookies eller webbläsartillägg.","SCHEMA_NAME":"Datablists kostnadsfria Instagram follower scraper","BREADCRUMB_CURRENT":"Instagram follower scraper","HERO":{"TITLE":"Gratis Instagram follower scraper","DESCRIPTION":"Ange en URL eller ett användarnamn för en Instagram-profil och få upp till 100 följare per körning. Ingen inloggning eller cookies krävs."},"SAFETY":{"TITLE":"Därför utsätts inte ditt Instagram-konto för risk","ITEMS":[{"safe":true,"label":"Datablist","body":"Behöver endast den offentliga profilens URL eller användarnamn. Ansluter aldrig till ditt personliga Instagram-konto och kräver inga inloggningsuppgifter, cookies eller webbläsartillägg."},{"safe":false,"label":"Chrome-tillägg (IG Exporter osv.)","body":"Automatiserar scraping genom att ta över din aktiva webbläsarsession. Meta övervakar snabb scrollning och API-anrop under sessionen, vilket kan leda till omedelbara åtgärdsblockeringar och avstängning av kontot."},{"safe":false,"label":"Cookie-baserade cloud scrapers (PhantomBuster)","body":"Kräver att du kopierar och klistrar in din känsliga sessionid-cookie från utvecklarverktygen. Det överför din inloggade Instagram-identitet till externa servrar och utsätter ditt konto för hög risk."}]},"SOCIAL":{"TITLE":"Används av startups och storföretag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för lead generation"}],"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":"Så fungerar det","STEPS":[{"step":1,"title":"Ange en Instagram-profil eller ett användarnamn","body":"Klistra in URL:en till en valfri offentlig Instagram-profil (t.ex. instagram.com/nike), ett användarnamn (@nike) eller ett numeriskt användar-ID. I den fullständiga Datablist-appen kan du även klistra in flera influencer-profiler samtidigt."},{"step":2,"title":"Vi genomför scraping säkert från våra molnservrar","body":"Extraheringen körs helt på Datablists dedikerade infrastruktur. Vi ber aldrig om ditt Instagram-lösenord, din tvåfaktorskod eller sessionscookie (sessionid), så ditt personliga konto är 100 % skyddat mot åtgärdsblockeringar och avstängningar."},{"step":3,"title":"Exportera och berika med emails och telefonnummer","body":"Ladda ned din rensade följartabell som CSV eller Excel. I Datablist kan du köra insamlade användarnamn i en kaskad genom fler än 15 leverantörer av email- och telefondata för att hitta verifierade kontaktuppgifter till dina creator-kampanjer."}],"CTA":{"TITLE":"Scrapa fullständiga följarlistor, inte bara tio förhandsvisningsrader","BODY":"Ett kostnadsfritt Datablist-konto innehåller 500 krediter (upp till 50,000 följare) och kräver ingen Instagram-inloggning.","LABEL":"Skapa ett gratiskonto"}},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Målgrupps- och konkurrentanalys","body":"Ta reda på exakt vilka som följer konkurrerande varumärken och ledande aktörer inom nischen. Analysera gemensamma intressen, verifieringsgrad och målgruppsdemografi för att vässa din marknadspositionering.","ctaLabel":"Guide till att bygga lead-listor","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Influencer marketing och creator discovery","body":"Extrahera följarlistor från ledande creators i branschen och filtrera efter verifierade profiler eller offentliga kontakttaggar för att bygga listor över samarbeten med hög konverteringsgrad.","ctaLabel":"Guide till influencer scraping","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"Hitta emails till Instagram-leads","body":"Ett Instagram-användarnamn räcker inte för direkt B2B-outreach. Kör följarlistan genom Datablists waterfall email finder för att hitta verifierade professionella emails.","ctaLabel":"Hitta emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Scraping i stor skala utan kontoavstängningar","body":"Traditionella verktyg tvingar dig att offra ett Instagram-konto till algoritmer mot scraping. Datablists serverbaserade motor eliminerar kontorisken helt.","ctaLabel":"Dokumentation för Instagram Followers","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Jämförelse av Instagram follower scrapers","INTRO":"Alla konkurrenter automatiserar antingen klick i din aktiva webbläsare eller kräver att du klistrar in din känsliga sessionscookie. Datablist är den enda plattformen som utför scraping i isolerad molninfrastruktur.","HEADERS":["Verktyg","IG-konto","Vad som krävs","Pris","Kostnad/följare","Berikning"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"Ansluter aldrig till det","needs":"Profil-URL eller @användarnamn","cost":"$$25/mån eller gratis provperiod","perFollower":"$$0.0001 (0.01 krediter)","enrichment":"Waterfall för email och telefonnummer","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"Utsatt för risk","needs":"Din sessionscookie (sessionid)","cost":"$$69/mån","perFollower":"Tidsbaserat (~$0.003)","enrichment":"Separat Phantom krävs","best":false},{"tool":"Apify","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/apify.svg","safety":"Riskfyllt/tekniskt","needs":"API-konfiguration och actor-inställningar","cost":"$$49/mån","perFollower":"Beräkningsenheter (varierar)","enrichment":"Nej (endast rådata)","best":false},{"tool":"Chrome-tillägg","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/chrome.svg","safety":"Hög risk (kontoavstängning)","needs":"Tillägg på ditt konto","cost":"$$15/mån","perFollower":"~$0.001","enrichment":"Nej","best":false}],"NOTE":"Priserna avser varje verktygs billigaste nivå med månadsdebitering och verifierades i september 2026. Datablists kostnad per följare beräknas till 0.01 krediter per följare med abonnemanget för $25/månad.","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 enda scrapern som aldrig ber om din Instagram-inloggning","BODY":"Börja gratis med 500 krediter. Inget tillägg, ingen sessionscookie och inget betalkort krävs.","LABEL":"Skapa ett gratiskonto"}},"RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du detta i bulk?","ENRICHMENT":{"label":"Instagram Followers Scraper","href":"/sources/instagram-followers","blurb":"Scrapa upp till 2,000,000 följare från flera profiler i bulk, filtrera efter creator och berika med verifierade emails."},"TOOLS":[{"label":"Gratis LinkedIn Profile Scraper","href":"/tools/linkedin-profile-scraper","blurb":"Extrahera verifierad arbetshistorik, kompetenser och nuvarande roll från valfri LinkedIn-profil."},{"label":"Gratis Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Extrahera leads från Sales Navigator-sökningar utan att ansluta ett LinkedIn-konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Waterfall-sökning efter email hos fler än 15 leverantörer utifrån namn och domän."}]},"FAQ":{"TITLE":"Vanliga frågor","ITEMS":[{"question":"Måste jag ansluta mitt Instagram-konto eller ange inloggningsuppgifter?","answer":"Nej. Datablist ber aldrig om ditt Instagram-lösenord, din tvåfaktorskod eller sessionscookie (sessionid). All scraping körs på Datablists dedikerade molnservrar, vilket innebär att din personliga Instagram-profil eller företagsprofil aldrig ansluts och därför inte kan flaggas eller stängas av."},{"question":"Kan jag scrapa fler än 100,000 följare?","answer":"Ja. Datablist kan scrapa fler än 100,000 följare och stöder dataset med upp till 2,000,000 poster per samling. Eftersom extraheringen körs helt på Datablists dedikerade molninfrastruktur behandlas stora följarlistor kontinuerligt utan krascher på grund av webbläsarminnet eller avbrott till följd av hastighetsbegränsningar."},{"question":"Är det lagligt att scrapa Instagram-följare?","answer":"Ja. Scraping av offentligt tillgängliga data från offentliga profiler är lagligt i större jurisdiktioner. Datablist extraherar endast data som är synliga för alla oinloggade besökare och kringgår inte begränsningar för privata profiler."},{"question":"Vilka datapunkter extraheras, och kan jag hitta email-adresser?","answer":"Det här kostnadsfria verktyget returnerar användar-ID, användarnamn, fullständigt namn, profil-URL, kontots sekretessstatus och verifieringsstatus. Okända värden för sekretess eller verifiering förblir ospecificerade. Efter extraheringen kan du köra insamlade användarnamn i en kaskad genom Datablists Waterfall Email och Phone Finders hos fler än 15 dataleverantörer för att hitta verifierade kontaktuppgifter."},{"question":"Vad kostar det att scrapa Instagram-följare i Datablist?","answer":"Scraping av följare kostar 0.01 krediter per följare (100 följare per kredit). Ett kostnadsfritt Datablist-konto innehåller 500 gratiskrediter vid registrering (tillräckligt för 50,000 följare). Betalabonnemang börjar på $25/månad för 5,000 krediter (500,000 följare), och krediterna löper aldrig ut."}]}},"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-följare","DESCRIPTION":"URL, användarnamn eller handle för Instagram-profil","PLACEHOLDERS":["https://www.instagram.com/nike/ eller @nike"],"ROW_LABEL":"Instagram-profil","REMOVE_ROW":"Ta bort profil","ADD_ROW":"Lägg till en profil","ROW_LIMIT":"En profil och upp till 100 följare per körning.","EMPTY":"Ange en Instagram-profil för att komma igång","READY_ONE":"1 profil är klar","READY_MANY":"{count} profiler är klara","FIND_ONE":"Scrapa följare","FIND_MANY":"Scrapa följare","SAMPLE_BUTTON":"Visa exempelresultat","SAMPLE_NOTICE":"Illustrativt exempel med fiktiva följare. Förhandsvisningen körs i din webbläsare och använder inga krediter.","REJECTED_ONE":"Den här profilen kunde inte användas. Kontrollera formatet.","REJECTED_MANY":"{count} inmatningar kunde inte användas. Kontrollera deras format.","OVERFLOW":"Du klistrade in {count} profiler. Det här kostnadsfria verktyget tar emot en i taget.","PROCESS_ALL":"Scrapa alla {count} profiler i Datablist","NO_MATCH":"Inga följare returnerades för den här profilen.","COPY_ROW":"Kopiera profil-URL för {name}","START_OVER":"Börja om","COPY_ALL":"Kopiera CSV","DOWNLOAD_CSV":"Ladda ned CSV","COPY_ERROR":"Kopieringen misslyckades. Försök igen eller ladda ned CSV-filen.","PRIVACY":"Dina inmatningar och resultat är tillgängliga i den här webbläsaren i 24 timmar. Datablist sparar uppgiftsdata längre för att slutföra och ge support för körningen.","UNAVAILABLE":"Det här kostnadsfria verktyget är tillfälligt otillgängligt. Du kan fortfarande använda Datablist-appen.","QUOTA_REACHED":"Du har förbrukat din dagliga kvot för det här kostnadsfria verktyget. Kom tillbaka om {hours} h {minutes} min eller fortsätt i Datablist.","QUOTA_RUN_TOO_LARGE":"Denna scraping överskrider din återstående dagliga kvot. Kom tillbaka om {hours} h {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} krediter kvar i dag","QUOTA_REDUCE":"{remaining} krediter kvar i dag. Vänta tills din dagliga kvot återställs.","QUOTA_WAIT":"Den dagliga kvoten är förbrukad. Kom tillbaka om {hours} h {minutes} min.","CHALLENGE_REQUIRED":"Slutför verifieringen innan du scrapar följare.","RUN_FAILED":"Scrapingen kunde inte slutföras. Alla tillgängliga följare visas nedan.","SUBMISSION_UNKNOWN":"Vi kontrollerar om din scraping har startat. Ladda om sidan för att kontrollera statusen. Skicka inte in den igen.","RETRY_STATUS":"Vi kunde inte kontrollera scrapingen just nu. Ladda om sidan för att försöka igen.","EXPIRED":"Dessa resultat är inte längre tillgängliga i den här webbläsaren.","BANNER":"Scrapa större följarlistor och berika dem i Datablist. Börja med 500 gratiskrediter, inget kort krävs.","BANNER_CTA":"Få 500 gratiskrediter","RESULT_CTA":"Scrapa större följarlistor i Datablist.","RESULT_CTA_BUTTON":"Öppna Datablist","HISTORY_TITLE":"Dina senaste scraping-körningar","HISTORY_DESCRIPTION":"Öppna eller ta bort en scraping från den här webbläsaren i upp till 24 timmar. Om du tar bort den här stoppas inte scrapingen och krediter återställs inte.","HISTORY_REMOVE":"Ta bort {name} från den här webbläsaren","HISTORY_COMPLETE":"Slutförd","HISTORY_FAILED":"Kräver åtgärd","HISTORY_ATTENTION":"Kontrollerar status","HISTORY_RUNNING":"Pågår","DEBUG_NOTICE":"Felsökningsresultat från betaåtgärden. Detta är testdata.","LABEL":"URL, användarnamn eller handle för Instagram-profil","PLACEHOLDER":"https://www.instagram.com/cristiano/ eller @nike","SCRAPE":"Scrapa följare","SCRAPING":"Scrapar","SAFETY":"Ingen Instagram-inloggning, inga cookies och inget lösenord krävs. Vi ansluter aldrig till ditt konto.","SAMPLES":"Eller prova ett exempel:","ERRORS":{"EMPTY":{"REASON":"Ange en URL, ett användarnamn eller ett handle för en Instagram-profil."},"USERNAME":{"REASON":"Ange ett giltigt Instagram-användarnamn."},"TOO_LONG":{"REASON":"Instagram-användarnamn får inte vara längre än 30 tecken."},"CHARACTERS":{"REASON":"Användarnamnet innehåller ogiltiga tecken.","HINT":"Instagram-användarnamn får endast innehålla bokstäver, siffror, punkter och understreck."},"RESERVED_HANDLE":{"REASON":"\"{value}\" är en systemsida på Instagram, inte en användarprofil."},"BAD_URL":{"REASON":"Det där verkar inte vara en giltig URL eller ett giltigt användarnamn.","HINT":"Ange en länk till en Instagram-profil (t.ex. https://www.instagram.com/cristiano/) eller ett handle (@cristiano)."},"WRONG_SITE":{"REASON":"Det där är en länk till {value}, inte Instagram.","HINT":"Ange en länk till en Instagram-profil (t.ex. instagram.com/username) eller ett handle."},"HOMEPAGE":{"REASON":"Det där är Instagrams startsida, inte en specifik profil.","HINT":"Klistra in en profil-URL med ett användarnamn på slutet, till exempel instagram.com/nike/."},"POST":{"REASON":"Det där är en länk till ett enskilt Instagram-inlägg eller en reel, inte en profil.","HINT":"För att scrapa följare öppnar du i stället skaparens profilsida och kopierar den URL:en."},"STORY":{"REASON":"Det där är en länk till en Instagram Story.","HINT":"Stories är tillfälliga och har ingen offentlig följarlista. Klistra in profil-URL:en för den creator som publicerat den."},"EXPLORE":{"REASON":"Det där är en tagg- eller Explore-sida på Instagram, inte en profil.","HINT":"Ange profil-URL:en för en creator, ett varumärke eller en influencer för att scrapa följarna."},"SYSTEM_PAGE":{"REASON":"Det där leder till en systemsida på Instagram, inte en användarprofil."},"PROFILE_USERNAME":{"REASON":"Profilens användarnamn i den här URL:en är ogiltigt.","HINT":"Kontrollera att URL:en följer formatet https://www.instagram.com/username/."}},"SCRAPE_ERROR":"Scrapingen slutfördes inte. Försök igen om en liten stund.","RESULTS":"Här är de första {count} följarna för @{handle}, kostnadsfritt.","USER":"Användare","USER_ID":"Användar-ID","ACCOUNT_PRIVACY":"Sekretess","PROFILE":"Profil","ID":"ID: {id}","VERIFIED":"Verifierad","PRIVATE":"Privat","PUBLIC":"Offentlig","VIEW":"Visa","COPIED":"Kopierat","COPY":"Kopiera","DOWNLOAD":"Ladda ned CSV","SCRAPE_FULL":"Scrapa hela listan","RESULT_NOTE":"Den kostnadsfria förhandsvisningen visar {count} följare utan kontaktuppgifter. Använd Datablists verktyg för att scrapa upp till 2,000,000 följare i bulk och köra dem i en kaskad genom email- och telefonsökverktyg:","SOURCE_LABEL":"Instagram Followers Scraper","CSV_HEADER":"Användar-ID,Användarnamn,Fullständigt namn,Verifierad,Privat,Profil-URL,Följer","YES":"Ja","NO":"Nej","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"Gratis LinkedIn-profilskrapa | Datablist","META_SOCIAL_TITLE":"Gratis LinkedIn-profilskrapa","META_DESCRIPTION":"Slå upp en persons LinkedIn-profil utan att ansluta ditt LinkedIn-konto. Hämta tillgängliga uppgifter om identitet, jobbhistorik och utbildning. Daglig gräns gäller.","SCHEMA_NAME":"Datablists kostnadsfria LinkedIn-profilskrapa","BREADCRUMB_CURRENT":"LinkedIn-profilskrapa","HERO":{"TITLE":"Gratis LinkedIn-profilskrapa","DESCRIPTION":"Klistra in en person-URL från LinkedIn eller Sales Navigator för att hämta tillgängliga profil-, jobb- och utbildningsuppgifter. Ingen LinkedIn-inloggning eller sessionscookie krävs."},"SAFETY":{"TITLE":"Ingen anslutning till ditt LinkedIn-konto","ITEMS":[{"safe":true,"label":"Datablist","body":"Endast profilens URL krävs. Bearbetningen körs i Datablists infrastruktur utan din LinkedIn-inloggning, sessionscookie eller ett webbläsartillägg."},{"safe":false,"label":"Chrome-tillägg","body":"Evaboot, Skrapp och liknande webbläsarverktyg automatiserar klick och sidvisningar i din inloggade webbläsarsession. LinkedIn upptäcker och begränsar konton som använder automatisering på klientsidan."},{"safe":false,"label":"Cookie-baserade molnverktyg","body":"Phantombuster och molnbaserade aktörer kräver att du kopierar och klistrar in din känsliga li_at-sessionscookie. När du överlämnar din aktiva session till delade servrar hos tredje part utsätts ditt konto för risk för upptäckt och avstängning."}]},"SOCIAL":{"TITLE":"Betrodd av startups och storföretag","STATS":[{"value":"35,000+","label":"företag använder Datablist"},{"value":"20M+","label":"rader berikas varje månad"},{"value":"60+","label":"verktyg för 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":"Så fungerar det","STEPS":[{"step":1,"title":"Kopiera valfri URL till en LinkedIn-profil","body":"Gå till profilen du vill skrapa på LinkedIn eller Sales Navigator och kopiera länken från webbläsarens adressfält. Både vanliga profil-URL:er (linkedin.com/in/...) och URL:er till leads i Sales Navigator stöds."},{"step":2,"title":"Klistra in URL:en här","body":"Klistra in URL:en i fältet ovan. Vi tar automatiskt bort spårningsparametrar (som trk och lipi) före bearbetningen. Ingen inloggning, inget lösenord, Chrome-tillägg eller sessionscookie krävs någonsin."},{"step":3,"title":"Hämta strukturerade profiluppgifter","body":"Extraheringen körs i Datablists dedikerade infrastruktur, helt separat från ditt personliga LinkedIn-konto. Du får ren, strukturerad data: namn, rubrik, sammanfattning, företagsdata om nuvarande arbetsgivare, tidigare jobbhistorik och utbildning."}],"CTA":{"TITLE":"Skrapa 20 profiler gratis i bulk","BODY":"Ett kostnadsfritt Datablist-konto börjar med 500 credits. Ladda upp din CSV och berika hela listor på några minuter.","LABEL":"Skapa ett kostnadsfritt konto"}},"DATA":{"TITLE":"Vilka data du får från varje LinkedIn-profil","ITEMS":[{"icon":"UserCheck","title":"Identitet och plats","description":"Grundläggande personuppgifter för att identifiera prospekt korrekt och segmentera målgrupper.","fields":["Förnamn","Efternamn","Fullständigt namn","Rubrik","Om / Sammanfattning","Stad, delstat och land","Landskod (ISO-2)"]},{"icon":"Database","title":"Nuvarande roll och företagsdata","description":"Detaljerade arbetsgivardata för att bedöma matchning mot ICP och skapa riktade outbound-budskap.","fields":["Jobbtitel","Företagsnamn","Företagets LinkedIn-URL","Företagets webbplats","Bransch","Intervall för antal anställda","Rollens startdatum och längd","Rollbeskrivning"]},{"icon":"BriefcaseIcon","title":"Karriär och jobbhistorik","description":"Tillgängliga uppgifter om upp till två tidigare roller.","fields":["Två tidigare jobbtitlar","Tidigare företagsnamn","Anställningstid och datum","Rollbeskrivningar och prestationer"]},{"icon":"Layers","title":"Utbildning och språk","description":"Tillgängliga uppgifter om utbildning och språk.","fields":["Universitetets / skolans namn","Examen","Studieinriktning","Examensdatum","Talade språk"]}]},"USE_CASES":{"TITLE":"Användningsområden","ITEMS":[{"title":"Personalisering av kalla email och meddelanden","body":"Skrapa prospekts jobbhistorik, senaste karriärbyten och biografiska sammanfattningar för att skapa hyperpersonaliserad kall outreach som engagerar och konverterar.","ctaLabel":"Guide för att bygga leadlistor","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Kandidatsökning och rekrytering","body":"Extrahera kompletta kandidatprofiler, inklusive tillgängliga uppgifter om tidigare arbetsgivare och utbildning, direkt till en organiserad talangdatabas.","ctaLabel":"Guide för att skrapa LinkedIn-uppgifter","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"Hitta verifierade jobbmailadresser","body":"Omvandla skrapade namn och företagswebbplatser till verifierade professionella emailadresser med Datablists waterfall-berikning för email via över 20 leverantörer.","ctaLabel":"Hitta email i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Uppdatera kontakter och konton i CRM","body":"Håll dina kontakter i Salesforce eller HubSpot uppdaterade. Upptäck automatiskt jobbbyten, nya befordringar och uppdaterade företagsdata utan manuell datainmatning.","ctaLabel":"Guide till CRM-databerikning","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"Jämförelse av LinkedIn-profilskrapor","INTRO":"De flesta LinkedIn-skrapor automatiserar antingen din aktiva session eller debiterar för oförutsägbar körtid. Datablist arbetar självständigt i sin egen molninfrastruktur med transparent prissättning per profil.","HEADERS":["Verktyg","LinkedIn-konto","Vad som krävs","Pris","Kostnad / profil","CSV i bulk"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/linkedin-profile-scraper/datablist.png","values":["Ansluter aldrig till det","Endast offentlig profil-URL","$$25/mån","$$0.025","Ja, över 100k rader"],"best":true},{"tool":"Phantombuster","favicon":"/free-tools/linkedin-profile-scraper/phantombuster.png","values":["I riskzonen","Sessionscookie (li_at)","$$69/mån","Debitering per minut","Begränsat"],"best":false},{"tool":"Apify","favicon":"/free-tools/linkedin-profile-scraper/apify.svg","values":["I riskzonen","Konfiguration av actor / proxynycklar","$$29/mån","Varierar","Via API/JSON"],"best":false},{"tool":"Clay","favicon":"/free-tools/linkedin-profile-scraper/clay.png","values":["Säkert (databassökning)","Databassökning (inte live)","$$185/mån","$$0.05 - $0.10","Ja"],"best":false},{"tool":"Evaboot","favicon":"/free-tools/linkedin-profile-scraper/evaboot.png","values":["I riskzonen","Tillägg på ditt konto","$$9/mån","$$0.09","Endast Sales Nav"],"best":false}],"NOTE":"Priserna är den lägsta nivån för varje verktyg vid månadsvis fakturering och kontrollerades mot respektive leverantörs aktuella prissida i september 2026. Datablists kostnad per profil beräknas utifrån 25 credits per profil med planen för $25/månad.","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 enda skrapan som aldrig ansluter till ditt LinkedIn-konto","BODY":"Börja gratis med 500 credits. Inget tillägg, ingen sessionscookie och inget kreditkort krävs.","LABEL":"Skapa ett kostnadsfritt konto"}},"RELATED":{"TITLE":"Relaterade verktyg","EYEBROW":"Behöver du detta i bulk?","ENRICHMENT":{"label":"LinkedIn-profilskrapa","href":"/enrichments/linkedin-profile-scraper-bulk","blurb":"Bearbeta större listor med LinkedIn-profiler från en CSV i Datablist utan att ansluta ditt LinkedIn-konto."},"TOOLS":[{"label":"Gratis Sales Navigator-skrapa","href":"/tools/sales-navigator-scraper","blurb":"Extrahera leads från sökningar i Sales Navigator utan att ansluta ditt konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Hitta verifierade jobbmailadresser från en persons namn och företagets domän."},{"label":"Gratis domänsökare","href":"/tools/domain-finder","blurb":"Omvandla företagsnamn till officiella webbdomäner med konfidenspoäng."}]},"FAQ":{"TITLE":"Vanliga frågor","ITEMS":[{"question":"Ansluter Datablist till mitt LinkedIn-konto eller använder sessionscookies?","answer":"Nej. Datablist ansluter aldrig till ditt LinkedIn-konto och ber aldrig om ditt lösenord eller dina sessionscookies (li_at). All skrapning sker helt i vår dedikerade molninfrastruktur med hjälp av offentliga profildata, vilket helt eliminerar risken för kontobegränsningar eller avstängningar."},{"question":"Kan jag hitta verifierade jobbmailadresser för de skrapade profilerna?","answer":"Ja. I Datablist kan du skicka skrapade namn och företagsdomäner genom vår Waterfall Email Finder hos över 20 dataleverantörer för att hitta och verifiera emailadresser. Du betalar endast credits för bekräftade träffar."},{"question":"Vilka datapunkter extraheras från varje LinkedIn-profil?","answer":"Verktyget returnerar tillgängliga uppgifter om identitet, rubrik, sammanfattning, plats, språk, kontakter, nuvarande jobb, upp till två tidigare roller och den första utbildningsposten. Saknade fält förblir tomma. Kompetenser, bilder och URN:er ingår inte."},{"question":"Kan jag skrapa LinkedIn-profiler i bulk och använda URL:er från Sales Navigator?","answer":"Ja. Datablist accepterar vanliga URL:er till LinkedIn-profiler och URL:er till leads i Sales Navigator. Du kan ladda upp en CSV med tusentals länkar för att skrapa profiler i bulk med en hastighet på cirka 1,000 profiler på 3 minuter."},{"question":"Hur mycket kostar det att skrapa profiler i Datablist?","answer":"Skrapning kostar 25 credits per profil (20 credits för cachad data). Varje kostnadsfritt konto inkluderar 500 gratis credits vid registrering (tillräckligt för 20 fullständiga profiler). Betalplaner börjar på $25/månad för 5,000 credits, och credits upphör aldrig att gälla."},{"question":"Kan verktyget returnera cachade profildata?","answer":"Ja. Detta kostnadsfria verktyg accepterar cachade profiler. Data kan vara ofullständiga eller inaktuella. Det returnerar en nuvarande roll, upp till två tidigare roller och en utbildningspost när de är tillgängliga. Det returnerar inte kompetenser, profilbilder eller LinkedIn-URN. Varje körning reserverar 25 credits från din dagliga tilldelning på 25 credits per session och IP-adress."}]}},"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":"Din profil","DESCRIPTION":"Ange en URL till en LinkedIn-profil eller ett lead i Sales Navigator","PLACEHOLDERS":["https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"URL till LinkedIn-profil","REMOVE_ROW":"Ta bort rad {number}","ADD_ROW":"Lägg till en rad till","ROW_LIMIT":"En LinkedIn-profil per körning.","EMPTY":"Klistra in en URL till en LinkedIn-profil för att komma igång","READY_ONE":"Redo att slå upp den här profilen","READY_MANY":"Redo att slå upp den här profilen","FIND_ONE":"Skrapa profil","FIND_MANY":"Skrapa profil","SAMPLE_BUTTON":"Visa exempelresultat","SAMPLE_NOTICE":"Illustrativa exempelresultat. Den här förhandsvisningen använder inga credits.","REJECTED_ONE":"En inmatning kunde inte användas. Kontrollera formatet.","REJECTED_MANY":"{count} inmatningar kunde inte användas. Kontrollera deras format.","OVERFLOW":"En profil kan köras åt gången.","PROCESS_ALL":"Bearbeta alla {count}","NUMBER":"#","COMPANY_NAME":"Företagsnamn","DOMAIN":"Domän","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Inga profildata hittades","COPY_ROW":"Kopiera domän för {name}","START_OVER":"Börja om","COPY_ALL":"Kopiera CSV","DOWNLOAD_CSV":"Ladda ner CSV","DOWNLOAD_FILENAME":"linkedin-profile.csv","DOWNLOAD_JSON":"Ladda ner JSON","DOWNLOAD_JSON_FILENAME":"linkedin-profile.json","HIGH":"Hög","MEDIUM":"Medel","LOW":"Låg","VERY_LOW":"Mycket låg","PRIVACY":"Dina inmatningar och resultat är tillgängliga i den här webbläsaren i 24 timmar. Datablist behåller uppgiftsdata längre för att slutföra och stödja körningen.","UNAVAILABLE":"Det här kostnadsfria verktyget är tillfälligt otillgängligt. Du kan fortfarande använda Datablist-appen.","QUOTA_REACHED":"Du har förbrukat dagens kvot för det här kostnadsfria verktyget. Kom tillbaka om {hours} h {minutes} min eller fortsätt i Datablist.","QUOTA_RUN_TOO_LARGE":"Den här sökningen överskrider din återstående dagskvot för det kostnadsfria verktyget. Prova med färre namn eller kom tillbaka om {hours} h {minutes} min.","QUOTA_REMAINING":"{remaining} av {limit} credits kvar i dag","QUOTA_REDUCE":"{remaining} credits kvar i dag. Den här profilsökningen kräver 25 credits.","QUOTA_WAIT":"Dagskvoten är förbrukad. Kom tillbaka om {hours} h {minutes} min.","CHALLENGE_REQUIRED":"Slutför verifieringen innan du kör sökningen.","RUN_FAILED":"Körningen kunde inte slutföras. Du kan öppna eventuella tillgängliga resultat eller försöka igen senare.","SUBMISSION_UNKNOWN":"Vi kontrollerar om din sökning har startat. Ladda om sidan för att kontrollera statusen. Skicka inte in den igen.","RETRY_STATUS":"Vi kunde inte kontrollera sökningen just nu. Ladda om sidan för att försöka igen.","EXPIRED":"Det här resultatet är inte längre tillgängligt i denna webbläsare.","BANNER":"Behöver du fler profiler? Fortsätt i Datablist.","BANNER_CTA":"Öppna Datablist","RESULT_CTA":"Berika en hel lista med LinkedIn-profiler i Datablist.","RESULT_CTA_BUTTON":"Öppna Datablist","CSV_NAME":"Namn","LOADING":"Laddar","ERROR":"Fel","COMPLETE":"Slutförd","HISTORY_TITLE":"Dina senaste sökningar","HISTORY_DESCRIPTION":"Öppna eller ta bort en sökning från den här webbläsaren medan resultaten är tillgängliga, i upp till 24 timmar. Om du tar bort den här stoppas inte sökningen och inga credits återställs.","HISTORY_REMOVE":"Ta bort {name} från den här webbläsaren","HISTORY_COMPLETE":"Slutförd","HISTORY_FAILED":"Kräver åtgärd","HISTORY_ATTENTION":"Kontrollerar status","HISTORY_RUNNING":"Pågår","LABEL":"URL till LinkedIn-profil eller lead i Sales Navigator","PLACEHOLDER":"https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/...","SCRAPE":"Skrapa profil","SAFETY":"Ingen LinkedIn-inloggning, inga cookies eller sessions-ID:n. Vi ansluter aldrig till ditt konto.","SAMPLES":"Eller prova ett exempel:","RESULTS":"Här är de extraherade uppgifterna för {name}, gratis.","TABLE":"Datatabell","OVERVIEW":"Översiktskort","PROPERTY":"Egenskap","VALUE":"Extraherat värde","IDENTITY":"Identitet och plats","CURRENT":"Nuvarande befattning och företagsdata","HISTORY":"Jobbhistorik ({count} befattningar)","EDUCATION_SKILLS":"Utbildning och språk","CONNECTIONS":"Kontakter","LANGUAGES":"Språk","NAME":"Fullständigt namn","FIRST_LAST":"För- och efternamn","HEADLINE":"Rubrik","SUMMARY":"Om / Sammanfattning","LOCATION":"Plats","LOCATION_VALUE":"{location} (Land: {country})","PROFILE_URL":"Profil-URL","URN":"LinkedIn-URN","JOB":"Nuvarande jobbtitel","COMPANY":"Företagsnamn","WEBSITE":"Företagets webbplats","INDUSTRY_SIZE":"Bransch och storlek","DATES":"Anställningstid / Datum","PREVIOUS_ROLE":"Tidigare roll nr {number}","ROLE_AT":"{title} på {company}","EDUCATION":"Utbildning nr {number}","SKILLS":"Främsta kompetenser","BIO":"Om / Biografi","POSITION":"Nuvarande befattning","PAST":"Tidigare erfarenheter","COPY_CSV":"Kopiera CSV","COPIED_CSV":"CSV kopierad","COPY_JSON":"Kopiera JSON","COPIED_JSON":"JSON kopierad","DOWNLOAD":"Ladda ner CSV","FULL_LIST":"Skrapa hela listan","RESULT_NOTE":"Den kostnadsfria förhandsvisningen extraherar fullständiga datapunkter från en enskild profil. För att skrapa hundratals eller tusentals profiler i bulk från en CSV utan risk för kontot använder du Datablists ","COPY_ERROR":"Kopieringen misslyckades. Försök igen eller ladda ner CSV-filen.","CSV_HEADERS":["Fullständigt namn","Förnamn","Efternamn","Rubrik","Jobbtitel","Företagsnamn","Företagets webbplats","Företagets LinkedIn-URL","Bransch","Intervall för antal anställda","Stad","Delstat","Land","Landskod","Normaliserad profil-URL","Sammanfattning","Tidigare erfarenhet 1 – titel","Tidigare erfarenhet 1 – företag","Tidigare erfarenhet 1 – datum","Tidigare erfarenhet 2 – titel","Tidigare erfarenhet 2 – företag","Tidigare erfarenhet 2 – datum","Utbildning – skola","Utbildning – examen","Språk"],"ERRORS":{"EMPTY":{"REASON":"Klistra in en URL till en LinkedIn-profil.","HINT":"Exempel: https://www.linkedin.com/in/satyanadella"},"INVALID_URL":{"REASON":"Det här ser inte ut som en giltig URL.","HINT":"Se till att klistra in en fullständig länk som börjar med linkedin.com"},"WRONG_SITE":{"REASON":"Det här är inte en LinkedIn-URL.","HINT":"URL:en pekar på \"{value}\". Klistra in en länk till en LinkedIn-profil."},"COMPANY":{"REASON":"Det här är en företags- eller institutionssida, inte en personlig profil.","HINT":"För att skrapa personer klistrar du in en individuell profil-URL i formatet linkedin.com/in/username"},"SEARCH":{"REASON":"Det här är en URL till sökresultat, inte en profil-URL.","HINT":"För att skrapa sökresultat kan du prova vår kostnadsfria Sales Navigator-skrapa. För det här verktyget klickar du på en profil och klistrar in personens individuella länk."},"POST":{"REASON":"Det här är ett inlägg eller en artikel i LinkedIn-flödet, inte en profil.","HINT":"Klicka på författarens namn för att visa profilen och kopiera och klistra sedan in profilens URL."},"PATH":{"REASON":"Okänd sökväg till LinkedIn-profil.","HINT":"Klistra in en profillänk som matchar linkedin.com/in/username eller en URL till ett lead i Sales Navigator."}},"VERIFIED_PROFILE":"Verifierad profil","SCRAPED_CLEAN":"Profildata","ENRICHMENT_LABEL":"LinkedIn-profilskrapa","RESULT_NOTE_SUFFIX":" bulkberikning.","DEBUG_NOTICE":"Felsökningsresultat från betaåtgärden. Detta är testdata, inte en sökning efter den angivna personen.","CHANGED":"Ändrad","UNCHANGED":"Oförändrad","CSV_HEADER_LINE":"Fullständigt namn|Förnamn|Efternamn|Rubrik|Jobbtitel|Företagsnamn|Företagets webbplats|Företagets LinkedIn-URL|Bransch|Intervall för antal anställda|Stad|Delstat|Land|Landskod|Normaliserad profil-URL|Sammanfattning|Tidigare erfarenhet 1 – titel|Tidigare erfarenhet 1 – företag|Tidigare erfarenhet 1 – datum|Tidigare erfarenhet 2 – titel|Tidigare erfarenhet 2 – företag|Tidigare erfarenhet 2 – datum|Utbildning – skola|Utbildning – examen|Språk"}},"UseCaseAiScraping":{"PAGE_TITLE":"AI Web Scraping utan kod","PAGE_DESC":"Skrapa tusentals webbplatser med en enkel prompt. Datablist's AI Agent förstår dina behov, navigerar på sidor och extraherar strukturerad data—utan kod.","USE_CASE":"Användningsområden","HERO_TITLE":"AI Web Scraping utan kod","HERO_DESC":"Skrapa tusentals webbplatser med en enkel prompt. Datablist's AI Agent förstår dina behov, navigerar på sidor och extraherar strukturerad data—utan kod.","PROBLEM_TITLE":"Traditionell Web Scraping fungerar inte","PROBLEM_BODY":"Web scrapers som förlitar sig på CSS-selektorer är sköra och kräver ständigt underhåll. En liten ändring i en webbplats layout kan krascha hela ditt workflow. Datablist's AI Agent löser detta genom att förstå innehåll som en människa, vilket gör den motståndskraftig mot uppdateringar av webbplatser.","PROMPT_TITLE":"Från enkla prompts till strukturerad data","PROMPT_CONTENT_1":"Glöm komplexa konfigurationer. Säg bara till AI Agent vad du behöver på enkel engelska. Vill du hitta VD:ns namn från en 'Om oss'-sida? Be om det. Behöver du extrahera produktpriser från en kategorisida? Beskriv bara vad du letar efter.","PROMPT_CONTENT_2":"Agenten tolkar dina instruktioner, surfar på webben och levererar ren, strukturerad data direkt till ditt kalkylblad.","SCALE_TITLE":"Byggd för att skala, prissatt för alla","SCALE_CONTENT_1":"Oavsett om du behöver skrapa tio webbplatser eller tiotusen är vår AI Agent redo. Den hanterar det tekniska som paginering och proxyhantering automatiskt, så att du kan fokusera på data, inte processen.","SCALE_CONTENT_2":"Vårt kreditbaserade system är kostnadseffektivt och låter dig köra storskaliga scraping-uppgifter utan att spräcka budgeten. Få den data du behöver, när du behöver den.","ROBUST_TITLE":"Anpassar sig till alla webbplatser, alla förändringar","ROBUST_CONTENT_1":"Den moderna webben är dynamisk och förändras ständigt. Vår AI Agent är byggd för att vara motståndskraftig. Eftersom den förstår sammanhanget och betydelsen i data är den inte beroende av en stel webbplatsstruktur.","ROBUST_CONTENT_2":"Det betyder mer tillförlitlig dataextraktion och mindre tid på att laga trasiga web scrapers. Låt AI hantera webben åt dig.","USECASES_TITLE":"Lås upp en värld av data med AI Scraping","USECASES_LEADGEN_TITLE":"Maxa din leadgenerering","USECASES_LEADGEN_CONTENT_1":"Gå bortom grundläggande firmografiska data. Använd AI Agent för att skrapa företagswebbplatser efter kundcase, tekniker som används eller senaste nyheter.","USECASES_LEADGEN_CONTENT_2":"Denna rika, kontextuella data är det perfekta bränslet för mycket personliga och effektiva outreach-kampanjer.","USECASES_MARKET_TITLE":"Automatisera marknads- och konkurrentanalys","USECASES_MARKET_CONTENT_1":"Sluta slösa timmar på manuell research. Övervaka automatiskt konkurrenters webbplatser för produktuppdateringar, prisändringar eller nya jobbannonser.","USECASES_MARKET_CONTENT_2":"Samla in kundrecensioner från sajter som Trustpilot eller Trusted Shops för att analysera sentiment och identifiera marknadstrender.","USECASES_ECOMMERCE_TITLE":"E-handel & produktbevakning","USECASES_ECOMMERCE_CONTENT_1":"Skrapa enkelt produktlistor från vilken e-handelssajt som helst. Extrahera namn, priser, SKU:er, beskrivningar och kundrecensioner.","USECASES_ECOMMERCE_CONTENT_2":"Håll koll på konkurrenternas lager, övervaka prissättningsstrategier eller aggregera produktdata till din egen plattform.","BENEFITS_TITLE":"Kraftfull Web Scraping, gjort enkelt","BENEFITS_NOCODE_TITLE":"No-code-gränssnitt","BENEFITS_NOCODE_BODY":"Inga programmeringskunskaper krävs. Om du kan skriva en instruktion kan du skrapa webben. Vårt intuitiva gränssnitt gör dataextraktion tillgängligt för alla.","BENEFITS_FLEXIBLE_TITLE":"Flexibelt & konfigurerbart","BENEFITS_FLEXIBLE_BODY":"Skräddarsy dina scraping-uppgifter efter dina exakta behov. Extrahera en enda datapunkt eller en hel datamängd. AI Agent anpassar sig efter dina specifika krav.","BENEFITS_SCALABLE_TITLE":"Skalbart & automatiserat","BENEFITS_SCALABLE_BODY":"Från små uppgifter till massiva datainsamlingsprojekt skalar vår AI Agent med dig. Schemalägg återkommande skrapningar för att hålla din data färsk och automatiskt uppdaterad.","BENEFITS_PRECISE_TITLE":"Precisa & strukturerade resultat","BENEFITS_PRECISE_BODY":"Få den data du behöver i ett rent, organiserat format. AI Agent levererar strukturerade resultat direkt till ett kalkylblad, redo för analys eller export.","SEE_ALSO":"Se även","VIDEO_TITLE":"Se AI Scraping i praktiken","VIDEO_TEXT":"Se hur du kan skapa en anpassad lead scoring-modell på under en minut med en enkel prompt. Inga formler, inget krångel."},"UseCaseDataCleaning":{"PAGE_TITLE":"Datarensning, automatiserad.","PAGE_DESC":"Datablist erbjuder en kraftfull och lättanvänd verktygslåda för att ta bort dubbletter, normalisera och berika din data – och förvandla kaos till klarhet.","USE_CASE":"Användningsområden","HERO_TITLE":"Datarensning, automatiserad.","VIDEO_TITLE":"Det #1 no-code-verktyget för datarensning","VIDEO_TEXT":"Extrahera, konvertera och rensa data med bara några klick. Inga begränsningar och definitivt inga fler formler.","HERO_DESC":"Sluta kämpa med röriga kalkylblad och överbelastade CRM-system. Datablist erbjuder en kraftfull och lättanvänd verktygslåda för att ta bort dubbletter, normalisera och berika din data – och förvandla kaos till klarhet.","MASTER_TITLE":"Från rörig data till handlingsbara insikter","MASTER_BODY":"Felaktig data kostar tid och pengar. Oavsett om den kommer från flera leadkällor, webbskrapat innehåll eller indata från olika team leder rörig data till misslyckade kampanjer och dåliga beslut. Datablist är din centrala hubb för att städa, konsolidera och standardisera dina listor i stor skala så att din data alltid är tillförlitlig och redo att användas.","DEDUPE_CRM_TITLE":"Ta bort dubbletter i ditt CRM och dina listor – intelligent","DEDUPE_CRM_CONTENT_1":"Ditt CRM är din sanningskälla, men dubbletter gör det opålitligt. 'John Smith' och 'Jon Smith' på 'Example Inc.' vs 'Example LLC' skapar förvirring. Datablist går längre än enkel matchning.","DEDUPE_CRM_CONTENT_2":"Våra avancerade algoritmer (fuzzy-, fonetisk och smart matchning) hittar och slår samman liknande personer och företag och konsoliderar informationen utan att tappa kritisk data. Rensa ditt Pipedrive, HubSpot eller valfri CRM-export på några minuter.","MERGE_TITLE":"Konsolidera data över flera filer","MERGE_CONTENT_1":"Du har leads i tre olika kalkylblad och kunddata i ett annat. Hur kombinerar du dem utan att skapa fler dubbletter? Att slå ihop filer manuellt är långsamt och felbenäget.","MERGE_CONTENT_2":"Datablist gör det enkelt. Importera alla dina listor, definiera en unik identifierare som en email eller webbplats, och låt våra verktyg slå ihop posterna. Vi kombinerar data från flera källor till en ren masterlista.","NORMALIZE_TITLE":"Standardisera och normalisera data med ett klick","NORMALIZE_CONTENT_1":"Inkonsekvent data är oanvändbar. Telefonnummer med olika format, blandade versaler/gemener i befattningar och röriga URL:er förhindrar effektiv filtrering och automatisering. Att fixa detta manuellt, rad för rad, är tidsödande.","NORMALIZE_CONTENT_2":"Använd Datablists bulkredigering för att korrigera datatyper, rensa skiftläge i text, ta bort extra mellanslag och normalisera telefonnummer och URL:er över tusentals poster direkt. Sätt en standard och applicera den på hela din datamängd.","CLEANING_GRID_TITLE":"Din kompletta verktygslåda för datarensning","CLEANING_GRID_DESC":"Allt du behöver för att omvandla rå, rörig data till en värdefull och organiserad tillgång.","GRID_DEDUPE_TITLE":"Avancerad deduplikering","GRID_DEDUPE_BODY":"Hitta och slå samman liknande poster med smart, fuzzy och fonetisk matchning som enkla kalkylblad inte klarar.","GRID_MERGE_TITLE":"Slå ihop och konsolidera listor","GRID_MERGE_BODY":"Kombinera flera CSV- eller Excel-filer till en enda masterlista med en unik nyckel för att uppdatera och konsolidera poster.","GRID_FIX_TITLE":"Korrigera datatyper","GRID_FIX_BODY":"Konvertera enkelt textfält till strukturerad data som datum, tal eller kryssrutor för korrekt sortering och filtrering.","GRID_AI_TITLE":"AI-driven rensning","GRID_AI_BODY":"Använd vårt AI Editing-verktyg för att generera anpassade skript från enkla text-promptar. Hantera komplexa rensningsuppgifter utan att skriva någon kod.","GRID_ENRICH_TITLE":"Berika och fyll luckor","GRID_ENRICH_BODY":"Komplettera dina poster genom att berika dem med saknad data. Hitta företagsdomäner, validera email och hämta profilinformation.","GRID_CONSOLIDATE_TITLE":"Konsolidera värden","GRID_CONSOLIDATE_BODY":"Slå ihop motstridig data från dubbletter. Kombinera flera telefonnummer eller anteckningar till en enda, ren post utan att förlora information.","LEARN_MORE":"Läs mer","SEE_ALSO":"Se även"},"UseCaseInventoryManagement":{"PAGE_TITLE":"Automatisera lagerhanteringen i din e-handel","PAGE_DESC":"Sluta slösa timmar på manuella uppdateringar. Hämta, rensa, översätt och synka leverantörskataloger automatiskt till alla dina säljkanaler med vår kraftfulla no-code-plattform.","USE_CASE":"Användningsområden","HERO_TITLE":"Automatisera lagerhanteringen i din e-handel","HERO_DESC":"Sluta slösa timmar på manuella uppdateringar. Hämta, rensa, översätt och synka leverantörskataloger automatiskt till alla dina säljkanaler med vår kraftfulla no-code-plattform.","INTRO_TITLE":"Från röriga kataloger till perfekta produktlistningar","INTRO_BODY":"Att hantera produktdata från flera leverantörer är en mardröm med omatchade format, dubbletter och ändlösa manuella korrigeringar. Datablist förvandlar detta kaos till ett strömlinjeformat, automatiserat workflow och säkerställer att ditt lager alltid är korrekt, uppdaterat och perfekt formaterat för varje marknadsplats.","VIDEO_TITLE":"Se AI-redigering i praktiken","VIDEO_TEXT":"Se hur du uppdaterar enheter i katalogen med en enkel prompt. Inga formler, inget krångel.","FETCH_TITLE":"Hämta leverantörskataloger automatiskt","FETCH_CONTENT_1":"Glöm manuella nedladdningar och röriga email-bilagor. Ställ in automatiska importer för att hämta katalogfiler från valfri källa\u0002oavsett om det är en URL, FTP-server eller API. Schemalägg uppdateringar dagligen, veckovis eller månadsvis så att din data alltid är aktuell.","FETCH_CONTENT_2":"Våra smarta webbskrapor kan till och med extrahera produktdata direkt från leverantörers webbplatser, så att du får ett konstant flöde av den senaste informationen utan att behöva lyfta ett finger.","TRANSFORM_TITLE":"Transformera och standardisera data med AI","TRANSFORM_CONTENT_1":"Leverantörsdata är sällan redo för din webbshop. Använd våra no-code-verktyg för datarensning för att standardisera kategorier, ta bort juridiska ändelser från varumärkesnamn, formatera priser och slå ihop dubbletter.","TRANSFORM_CONTENT_2":"Gå längre med AI-drivna omvandlingar. Generera automatiskt säljande produktbeskrivningar, översätt innehåll för internationella marknader och säkerställ att varje listning är optimerad för konvertering.","SYNC_TITLE":"Synka till valfri e-handelsplattform eller marknadsplats","SYNC_CONTENT_1":"När din data är ren och standardiserad kan du skicka den vart du än säljer. Datablist förbereder sömlöst din katalog för alla destinationer, inklusive Shopify, WooCommerce, Amazon med flera.","SYNC_CONTENT_2":"Vårt system ger tydliga statusuppdateringar för varje synkronisering, med automatiska försök igen vid eventuella misslyckanden. Hantera hela din multikanalverksamhet från en enda tillförlitlig källa.","BENEFITS_TITLE":"Kraften i ett automatiserat lager-workflow","BENEFITS_SCALE_TITLE":"Hantera enorma kataloger","BENEFITS_SCALE_BODY":"Hantera produktlistor med hundratusentals eller till och med miljontals artiklar utan ansträngning. Vår plattform är byggd för prestanda och skalbarhet.","BENEFITS_FLEXIBLE_TITLE":"Flexibel och enkel att konfigurera","BENEFITS_FLEXIBLE_BODY":"Vårt intuitiva no-code-gränssnitt låter dig bygga komplexa dataomvandlings-workflows på minuter, inte veckor. Inga utvecklare krävs.","BENEFITS_RELIABLE_TITLE":"Pålitlig och automatiserad","BENEFITS_RELIABLE_BODY":"Ställ in dina workflows en gång och låt dem rulla. Med tydlig statushantering och synkar med automatiska återförsök kan du lita på att din data alltid finns där den ska.","BENEFITS_COST_TITLE":"Kostnadseffektiv kraft","BENEFITS_COST_BODY":"Utnyttja vårt kreditbaserade system för att bara betala för det du använder. Få automation på enterprise-nivå till en bråkdel av kostnaden jämfört med traditionella lösningar.","TRANSLATE_TITLE":"Översätt produktkataloger för globala marknader","TRANSLATE_CONTENT_1":"Utöka din e-handelsräckvidd till internationella marknader genom att automatiskt översätta dina produktkataloger med Datablists AI. Gå bortom enkel översättning genom att lokalisera produktnamn så att de matchar hur lokala kunder faktiskt söker.","TRANSLATE_CONTENT_2":"Vår AI bevarar kritiska HTML- och JSON-strukturer i beskrivningar och specifikationer, vilket förhindrar tekniska fel vid återuppladdning till plattformar som Shopify eller WooCommerce. Denna kraftfulla no-code-lösning hjälper dig att skala globalt till en bråkdel av kostnaden jämfört med traditionella verktyg.","TRANSLATE_CTA":"Så här översätter du en produktkatalog","FILTER_TITLE":"Fördjupa dig i vilken katalog som helst, oavsett storlek","FILTER_CONTENT_1":"Sluta brottas med kalkylark som kraschar under tyngden av ditt lager. Datablist är byggt för att hantera massiva produktkataloger med upp till 1,5 miljoner artiklar, vilket vida överstiger gränserna för verktyg som Airtable eller Google Sheets.","FILTER_CONTENT_2":"Hitta snabbt exakt det du behöver med kraftfulla filtreringsverktyg. Gå bortom enkla sökningar genom att kombinera flera villkor med AND/OR-logik och filtergrupper för avancerade sökfrågor. För maximal precision, använd reguljära uttryck (regex) för att hitta produkter baserat på specifika mönster i deras SKU:er, titlar eller beskrivningar.","FILTER_CONTENT_3":"Gör inte om jobbet. Du kan spara vilken uppsättning komplexa filter som helst som ett anpassat \"Segment\" för snabb åtkomst senare. Dessa sparade filter är perfekta för att skapa dynamiska listor som \"nyheter\" eller \"kampanjvaror\" och delas automatiskt med ditt team så att alla arbetar utifrån samma vy.","SEE_ALSO":"Se även"},"UseCaseLeadBuilding":{"PAGE_TITLE":"Leadgenerering för growth-team","PAGE_DESC":"Det bästa verktyget för att gå på djupet i stora leadlistor. Organisera, berika och hitta de perfekta prospekten.","HERO_TITLE":"Bygg leadlistor för growth-team","USE_CASE":"Användningsfall","HERO_DESC":"Det bästa verktyget för att gå på djupet i stora leadlistor. Organisera, berika och hitta de perfekta prospekten.","MASTER_TITLE":"Hantera stora mängder leads","MASTER_BODY":"Datablist är byggt för att hantera miljoner poster. Definiera din datastruktur för leads och börja arbeta med dina data i en öppen och teknikvänlig plattform. Organisera dina leads i vårt kalkylbladsliknande gränssnitt eller via vårt API för att bygga komplexa dataplattformar. Upptäck kvalitetsleads att kontakta från dina stora leadlistor.","CRM_TITLE":"Bygg leadlistor innan de hamnar i ditt Sales CRM","CRM_CONTENT_1":"CRM-verktyg är perfekta för att följa engagerade prospekt. Men de passar inte för hundratusentals leads. Ditt growth-team behöver ett datalager uppströms för att konsolidera och hantera leads i stor skala.","CRM_CONTENT_2":"Att lagra kalla leads i ditt CRM är det snabbaste sättet att förorena det och få dyra fakturor.","DATABASE_TITLE":"Sluta lagra leads i en egen databas","DATABASE_CONTENT_1":"Lagrar du dina leads i en egen databas, Excel, Airtable eller ett datalager? Att välja något av dem innebär kompromisser. Flexibilitet framför skalbarhet. Eller komplexitet framför enkelhet.","DATABASE_CONTENT_2":"Datablist kombinerar kraften i en egen databas med flexibiliteten hos Airtable. Spara pengar och tid utan kompromisser.","NOCODE_TITLE":"Lätt att använda och teknikvänligt verktyg","NOCODE_CONTENT_1":"Hantera dina leads i ett kalkylbladsliknande gränssnitt. Kraftfull filtrering och sökning låter dig utforska hundratusentals leads på några sekunder.","NOCODE_CONTENT_2":"Med Datablist är CSV-filer förstklassiga. Importera stora CSV-filer och kombinera dem med unika identifierare för att skapa dina leadlistor. Dina data är dina data. Exportera dina leads till en CSV-fil för att använda dem i andra verktyg med ett klick.","NOCODE_CONTENT_3":"Vill du gå längre? Automatisera ditt dataflöde med serverless-funktioner kopplade till vårt öppna API.","CENTRALIZE_TITLE":"Centralisera alla dina leadkällor i ett och samma datalager","CENTRALIZE_SCRAPING_TITLE":"Din scraping-destination","CENTRALIZE_SCRAPING_CONTENT_1":"Extrahera data från externa källor och lagra dem i ditt datalager.","CENTRALIZE_SCRAPING_CONTENT_2":"Scrapa leads från sociala nätverk (LinkedIn, Facebook, Xing), företagskataloger (Crunchbase, AngelList), online-communities etc.","CENTRALIZE_NEWSLETTER_TITLE":"Nyhetsbrevsprenumeranter","CENTRALIZE_NEWSLETTER_CONTENT_1":"Följ upp och berika prenumeranter på din e-postlista för att hitta värdefulla prospekt.","CENTRALIZE_NEWSLETTER_CONTENT_2":"Använd webhooks från din e-postlista för att få användningsdata och hitta engagerade leads.","CENTRALIZE_SIGNUP_TITLE":"Berika dina nya användare","CENTRALIZE_SIGNUP_CONTENT_1":"Upptäck användare med engångs- eller professionella email-adresser. Berika dina nya användare automatiskt, hitta deras LinkedIn-profiler och engagera användare med hög potential.","CENTRALIZE_SIGNUP_CONTENT_2":"Koppla din produktanvändningsdata för att bygga en Customer Data Platform (CDP).","CENTRALIZE_MAGNET_TITLE":"Lagra nedladdningar av lead magnets","CENTRALIZE_MAGNET_CONTENT_1":"Lagra alla dina nya leads från whitepaper-nedladdningar, webbinarier och fysiska event i en och samma lista.","CENTRALIZE_MAGNET_CONTENT_2":"Berika manuellt eller med våra integrerade beriknings-API:er för att hitta möjligheter.","ENRICH_TITLE":"Rensa och berika dina leads","ENRICH_COMPANIES_TITLE":"Berika företag och profiler","ENRICH_COMPANIES_BODY":"Få komplett profilinformation med integrerade berikningstjänster. Hämta LinkedIn-konton från email-adresser eller email-adresser från namnen på dina leads. Berika i stor skala från valfria tjänster eller koppla dina egna.","CLEAN_TITLE":"Rensa dina data","CLEAN_BODY":"Håll dina data fräscha med Datablists läs- och skrivbara datalager. Använd våra funktioner för datastädning för att massrensa dina leads. Validera email-adresser för att hitta leverantörer av engångs-email och utesluta dem från dina kampanjer.","DEDUPLICATE_TITLE":"Ta bort dubbletter i dina leads","DEDUPLICATE_BODY":"Ta bort dubbletter av leads på ett ögonblick med Datablist Duplicates Finder. Välj en eller flera egenskaper för att avdubbla automatiskt. Slå samman motstridiga data med Datablist Merge Assistant.","MERGE_TITLE":"Skapa unika leadprofiler","MERGE_BODY":"Definiera unikhet utifrån en leads email-adress eller företagets webbplats för att skapa unika leadprofiler. Uppdatera dina leaddata eller konsolidera externa listor med hjälp av dina unika egenskaper.","SEE_ALSO":"Se även","DATA_SOURCES":"Data- och leadkällor","DATA_SOURCES_DESCRIPTION":"Boosta din pipeline med våra kraftfulla inbyggda leadkällor!","AI_RESEARCH_AGENT":"AI Research Agent","AI_RESEARCH_AGENT_DESCRIPTION":"Skala research på dina poster eller sätt upp automatiserade Google-sökningar med en enkel prompt.","ENRICHMENTS":"Berikningar","ENRICHMENTS_DESCRIPTION":"Skapa kraftfulla workflows med våra lättanvända berikningar"},"IndustryRecruiting":{"PAGE_TITLE":"Smartare rekrytering börjar här","PAGE_DESC":"Den oumbärliga no-code-plattformen för rekryteringsbyråer. Scrapa jobbannonser, berika företagsdata och hitta direkt kontaktinformation till rekryterande chefer.","HERO_TITLE":"Smartare rekrytering börjar här","INDUSTRY_LABEL":"Branscher","HERO_DESC":"Den oumbärliga no-code-plattformen för rekryteringsbyråer. Scrapa jobbannonser, berika företagsdata och hitta direkt kontaktinformation till rekryterande chefer.","WHY_DATABLIST_TITLE":"Sluta leta. Börja tillsätta.","WHY_DATABLIST_BODY":"Manuell sourcing är långsam, repetitiv och ger inkonsekventa resultat. Datablist automatiserar de mest tidsödande delarna av att sourca nya kunder och kandidater, så att du kan fokusera på det du gör bäst: bygga relationer och slutföra tillsättningar.","FIND_JOBS_TITLE":"Upptäck alla rekryteringsmöjligheter","FIND_JOBS_CONTENT_1":"Missa aldrig en lead. Använd vår AI Scraper för att extrahera jobbannonser från vilken jobbsajt som helst, som LinkedIn, Indeed eller från en lista över målbolagens karriärsidor.","FIND_JOBS_CONTENT_2":"Bygg enkelt en realtidsdatabas över lediga tjänster som matchar dina nyckelord och din expertis, vilket ger ett konstant flöde av kvalificerade kundleads.","FIND_CONTACTS_TITLE":"Hitta rätt beslutsfattare","FIND_CONTACTS_CONTENT_1":"En jobbannons är bara början. Datablist berikar företagsdata för att avslöja personerna bakom titlarna. Identifiera avdelningschefer, team leads och rekryterande chefer inom dina målbolag.","FIND_CONTACTS_CONTENT_2":"Segmentera dina listor efter jobbtitel, avdelning eller senioritetsnivå så att din outreach alltid riktas till personen med mandat att rekrytera.","GET_DETAILS_TITLE":"Ta kontakt direkt, på en gång","GET_DETAILS_CONTENT_1":"Sluta slösa tid på att leta kontaktuppgifter. Vår kraftfulla Waterfall-berikning hittar verifierade, professionella emailadresser och telefonnummer till dina målpersoner.","GET_DETAILS_CONTENT_2":"Med högre träffsäkerhet och en kostnadseffektiv, kreditbaserad modell kan du bygga användbara kontaktlistor snabbare och billigare än någonsin.","BENEFITS_TITLE":"Ett orättvist övertag för din byrå","EASY_USE_TITLE":"Kom igång på några minuter","EASY_USE_BODY":"Kom igång direkt med vårt intuitiva, kalkylbladsliknande gränssnitt. Inga tekniska kunskaper krävs för att bygga kraftfulla sourcing-workflows.","FLEXIBLE_TITLE":"Ditt workflow, på ditt sätt","FLEXIBLE_BODY":"Anpassa varje steg, från scraping-mål till berikningssekvenser. Datablist anpassar sig till din unika sourcing-strategi – inte tvärtom.","COST_EFFECTIVE_TITLE":"Betala efter behov","COST_EFFECTIVE_BODY":"Vårt kreditbaserade system innebär att du bara betalar för det du använder. Perfekt för byråer i alla storlekar, från solo-rekryterare till stora team.","ALL_IN_ONE_TITLE":"Allt på ett ställe","ALL_IN_ONE_BODY":"Från scraping och rensning till berikning och export. Hantera hela din pipeline för kund- och kandidatdata utan att jonglera flera verktyg.","SEE_ALSO":"Se även","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"Extrahera strukturerad data från vilken webbplats som helst med en enkel prompt. Perfekt för jobbsajter, företagssidor och mycket mer.","ENRICHMENTS":"Berikningar","ENRICHMENTS_DESCRIPTION":"Skapa kraftfulla workflows med våra lättanvända berikningar för företags- och kontaktdata.","FAQ_Q1":"Hur hittar Datablist lediga jobb?","FAQ_A1":"Vår Job Postings Scraper skannar över 19 ledande jobbsajter, inklusive Indeed och Glassdoor. Du kan också använda vår AI Agent för att scrapa specifika företags karriärsidor eller valfri nischad jobbsajt automatiskt, vilket ger ett konstant flöde av kundmöjligheter.","FAQ_Q2":"Hur hittar ni kontaktuppgifter till rekryterande chefer?","FAQ_A2":"När du har en lista över företag hittar vår Waterfall People Search-berikning rätt kontakter inom organisationerna. Du kan söka på jobbtitel, senioritet eller avdelning för att ringa in beslutsfattare.","FAQ_Q3":"Är kontaktuppgifterna korrekta och verifierade?","FAQ_A3":"Ja. Vår Waterfall Email Finder och Phone Finder frågar flera dataleverantörer för att hitta verifierade professionella emailadresser och direktnummer. Denna multi-source-ansats ger dig högre träffgrad än verktyg med en enda leverantör.","FAQ_Q4":"Riskerar jag mitt LinkedIn-konto genom att använda era scrapers?","FAQ_A4":"Nej. Till skillnad från webbläsartillägg körs våra scrapers i molnet och kräver inte dina personliga LinkedIn-uppgifter. Det håller ditt konto 100 % säkert från begränsningar eller avstängningar.","FAQ_Q5":"Vad kostar det?","FAQ_A5":"Datablist använder ett flexibelt, pay-as-you-go kreditsystem. Du betalar bara för den data du får. Till exempel räcker en påfyllning på 20 $ i krediter för att scrapa tusentals jobbannonser. Denna modell passar byråer i alla storlekar och låter dig skala din sourcing utan en stor initial investering.","FAQ_Q6":"Kan jag rikta in mig på jobb i specifika branscher eller platser?","FAQ_A6":"Ja. Våra jobbscrapers har avancerade filter som låter dig rikta in jobbannonser efter nyckelord, bransch, företagsstorlek, plats och senioritetsnivå. Du kan till och med exkludera rekryteringsbyråer för att fokusera enbart på direkta arbetsgivare.","FAQ_Q7":"Jag har röriga kandidatlistor. Kan Datablist hjälpa till att rensa dem?","FAQ_A7":"Absolut. Datablist innehåller kraftfulla verktyg för datarensning och deduplicering. Du kan enkelt slå ihop dubblettkontakter från olika källor, standardisera jobbtitlar och formatera din data utan komplexa formler.","FAQ_Q8":"Kan jag automatisera sourcing-processen?","FAQ_A8":"Ja. Du kan schemalägga jobbscrapers att köras dagligen, veckovis eller månadsvis. Datablist hittar automatiskt nya jobbannonser som matchar dina kriterier och ger dig en jämn källa till nya leads."},"IndustryVentureCapital":{"PAGE_TITLE":"Operativsystemet för moderna VC:er","PAGE_DESC":"Identifiera, screena och spåra tusentals startups med en AI-driven dataplattform. Lämna röriga kalkylblad och rigida CRM-system. Bygg din dealflow-motor med Datablist.","INDUSTRY_LABEL":"Branscher","HERO_TITLE":"Operativsystemet för moderna VC:er","HERO_DESC":"Identifiera, screena och spåra tusentals startups med en AI-driven dataplattform. Lämna röriga kalkylblad och rigida CRM-system. Bygg din dealflow-motor med Datablist.","WHY_DATABLIST_TITLE":"Ditt CRM är inte byggt för riskkapital","WHY_DATABLIST_BODY":"CRM-system är för säljpipelines, inte för dealflow. De är rigida, dyra och brister i att följa de tusentals bolag i tidigt skede som finns på din radar. Datablist är en flexibel, skalbar datahubb utformad för att hantera riskkapitalets unika datautmaningar.","SOURCE_DEALS_TITLE":"Hitta deals innan de blir allmängods","SOURCE_DEALS_CONTENT_1":"Gå bortom ditt nätverk och inbound-förfrågningar. Använd vår AI Scraper för att hitta lovande startups från plattformar som ProductHunt, IndieHackers och andra nischade kataloger.","SOURCE_DEALS_CONTENT_2":"Få ett försprång genom att identifiera bolag med hög potential först och följa framväxande trender innan de blir mainstream.","TRACK_COMPANIES_TITLE":"Följ tillväxtsignaler – inte bara finansieringsrundor","TRACK_COMPANIES_CONTENT_1":"Finansiering är en eftersläpande indikator på framgång. Följ realtidssignaler som verkligen betyder något. Våra job board-scrapers identifierar vilka startups som rekryterar till nyckelroller – en tydlig signal om product-market fit och skalning.","TRACK_COMPANIES_CONTENT_2":"Övervaka rekryteringstrender för att bedöma ett bolags utveckling och fatta datadrivna investeringsbeslut.","SCORE_STARTUPS_TITLE":"Bygg anpassade scoring-modeller med AI","SCORE_STARTUPS_CONTENT_1":"Sluta förlita dig enbart på magkänslan. Använd våra AI Editing-verktyg för att bygga kraftfulla, anpassade scoring-algoritmer. Ranka startups baserat på teamets erfarenhet, tech stack, marknadssignaler och dina egna unika kriterier.","SCORE_STARTUPS_CONTENT_2":"Identifiera systematiskt och fokusera teamets energi på de översta 1 % av möjligheterna i din pipeline.","DILIGENCE_TITLE":"Alla verktyg du behöver för due diligence och uppföljning","FEATURE_DATA_TITLE":"Datakonsolidering","FEATURE_DATA_BODY":"Rengör, deduplicera och slå samman data från flera källor till en enda masterlista. Håll din startup-databas ren och tillförlitlig.","FEATURE_ENRICH_TITLE":"Företagsberikning","FEATURE_ENRICH_BODY":"Berika företagsprofiler automatiskt med firmografiska data, tech stacks, webbplatsdata och mer för en 360-graders vy.","FEATURE_CONTACTS_TITLE":"Outreach till grundare","FEATURE_CONTACTS_BODY":"Hitta verifierade emailadresser och telefonnummer till grundare och nyckelpersoner med vår Waterfall Enrichment. Låt första kontakten räknas.","FEATURE_API_TITLE":"API & integrationer","FEATURE_API_BODY":"Koppla Datablist till dina interna verktyg och automatisera hela ditt data-workflow med vårt flexibla, utvecklarvänliga API.","SEE_ALSO":"Se även","VIDEO_TITLE":"Se AI Agent i praktiken","VIDEO_TEXT":"Se hur AI Agent kan besöka en lista med startup-webbplatser och extrahera strukturerad kontaktinformation. En uppgift som är omöjlig för traditionella scrapers.","FAQ_Q1":"Hur skiljer sig Datablist från ett traditionellt CRM?","FAQ_A1":"CRM-system är utformade för linjära säljprocesser och blir röriga när man ska följa tusentals potentiella deals. Datablist är en flexibel datahubb byggd för skalan och komplexiteten i riskkapitalets dealflow, så att du kan hantera enorma mängder startup-data utan säljpipelinens rigiditet.","FAQ_Q2":"Kan Datablist hjälpa oss att hitta nya startups?","FAQ_A2":"Ja. Du kan använda vår AI Agent för att skrapa startupkataloger som ProductHunt eller IndieHackers och hitta lovande bolag innan de dyker upp på allas radar. Det hjälper dig att upptäcka högpotential-deals tidigt.","FAQ_Q3":"Vilka typer av tillväxtsignaler kan vi följa?","FAQ_A3":"I stället för att bara förlita er på finansieringsnyheter kan ni följa realtidssignaler. Våra job board-scrapers hittar startups som aktivt rekryterar till nyckelroller, vilket är en stark signal om tillväxt och product-market fit.","FAQ_Q4":"Hur fungerar AI-scoringmodellen?","FAQ_A4":"Du kan bygga anpassade scoring-modeller med våra AI-verktyg. Du definierar de kriterier som är viktiga för din tes – som teamets erfarenhet, tech stack eller marknadstrender – och AI genererar ett skript som rankar varje startup i din pipeline, så att du kan fokusera på de bästa möjligheterna.","FAQ_Q5":"Vår data är rörig och utspridd över flera kalkylblad. Hur kan ni hjälpa?","FAQ_A5":"Datablist är mycket bra på datakonsolidering. Du kan importera data från flera källor och sedan använda våra verktyg för att rengöra, deduplicera och slå ihop allt till en enda, tillförlitlig masterlista över startups.","FAQ_Q6":"Hur hanterar Datablist tusentals bolag? Blir det långsamt?","FAQ_A6":"Datablist är byggt för att hantera stora datamängder och klarar upp till 1,5 miljoner poster per lista, vilket vida överstiger gränserna i kalkylblad eller verktyg som Airtable. Du kan filtrera, sortera och hantera tusentals bolag snabbt utan prestandaproblem.","FAQ_Q7":"Kan ni hjälpa oss att hitta kontaktinformation till grundare?","FAQ_A7":"Ja. När du har identifierat en lovande startup kan våra Waterfall Enrichment-verktyg hitta verifierade emailadresser och telefonnummer till grundare och nyckelpersoner, vilket gör din första outreach mer effektiv.","FAQ_Q8":"Behöver jag en utvecklare för att använda Datablist?","FAQ_A8":"Nej. Datablist är en no-code-plattform med ett användarvänligt kalkylbladsgränssnitt. Du kan bygga komplexa data-workflows, från sourcing till scoring, utan att skriva kod."},"IndustryRetailAndECommerce":{"PAGE_TITLE":"Effektivisera er detaljhandels- och e-handelsverksamhet","PAGE_DESC":"Hantera era produktkataloger, leverantörsflöden och kunddata enkelt. Datablist är den flexibla no-code-plattformen för detaljhandel och e-handelsföretag.","HERO_TITLE":"Effektivisera er detaljhandels- och e-handelsverksamhet","INDUSTRY":"Bransch","HERO_DESC":"Hantera era produktkataloger, leverantörsflöden och kunddata enkelt. Datablist är den flexibla no-code-plattformen för detaljhandel och e-handelsföretag.","MASTER_TITLE":"Er centrala nav för e-handelsdata","MASTER_BODY":"Sluta jonglera flera kalkylblad och komplexa databaser. Datablist ger er en enda, lättanvänd plattform för att hantera all er e-handelsdata. Vårt flexibla no-code-gränssnitt och kreditbaserad prissättning gör det till en kostnadseffektiv lösning för företag i alla storlekar.","PRODUCT_CATALOG_TITLE":"Konsolidera och städa er produktkatalog","PRODUCT_CATALOG_CONTENT_1":"Importera produktdata från vilken källa som helst och konsolidera den till en enda, ren katalog. Våra kraftfulla datastädningsverktyg hjälper er att standardisera enheter och priser samt rensa bort HTML från beskrivningar.","PRODUCT_CATALOG_CONTENT_2":"Med Datablist kan ni enkelt hantera tusentals produkter och säkerställa att er data alltid är korrekt och uppdaterad.","SUPPLIER_FEEDS_TITLE":"Automatisera era leverantörsflöden","SUPPLIER_FEEDS_CONTENT_1":"Hämta automatiskt leverantörers pris- och lagerflöden för att hålla ert lager i synk. Datablist kan ansluta till externa APIs, vilket gör det enkelt att integrera med era leverantörers system.","SUPPLIER_FEEDS_CONTENT_2":"Spara tid och minska fel genom att automatisera den här kritiska delen av er verksamhet.","FEATURES_TITLE":"Allt ni behöver för att lyckas","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"Konsolidera produktkataloger","CONSOLIDATE_PRODUCT_CATALOG_BODY":"Slå ihop produktdata från flera leverantörer och källor till en huvudkatalog.","CLEAN_DATA_TITLE":"Städa er data","CLEAN_DATA_BODY":"Standardisera och städa produktinformation, inklusive enheter, priser och HTML, för ett enhetligt och professionellt uttryck.","TRANSLATE_PRODUCT_TITLE":"Översätt produktinformation","TRANSLATE_PRODUCT_BODY":"Översätt enkelt produkttitlar och beskrivningar för att nå en global målgrupp.","GENERATE_PRODUCT_TEXT_TITLE":"Generera produkttexter med AI","GENERATE_PRODUCT_TEXT_BODY":"Använd AI för att skapa övertygande produktbeskrivningar och annan text, vilket sparar tid och arbete.","SYNC_TO_EXTERNAL_APIS_TITLE":"Synka till externa APIs","SYNC_TO_EXTERNAL_APIS_BODY":"Integrera med era andra verktyg och system genom att synka er data till externa APIs.","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"Hämta leverantörsflöden","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"Uppdatera automatiskt er produktinformation genom att hämta de senaste pris- och lagerflödena från era leverantörer.","AGGREGATE_ORDER_FEEDS_TITLE":"Aggregatera orderflöden","AGGREGATE_ORDER_FEEDS_BODY":"Få en komplett bild av er försäljning genom att aggregatera orderflöden från alla era kanaler.","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"Hantera kund- och målgruppslistor","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"Håll era kund- och målgruppslistor rena och organiserade för mer effektiva marknadsföringskampanjer.","FAQ_Q1":"Min produktdata är rörig och kommer från flera leverantörer i olika format. Hur kan Datablist hjälpa?","FAQ_A1":"Datablist är byggt för att lösa just detta. Du kan importera produktdata från flera CSV- eller Excel-filer till en enda huvudkatalog. Vår Duplicates Finder hjälper dig sedan att slå ihop dubbletter av produktposter, och du kan till och med summera numeriska värden som lagersaldon automatiskt.","FAQ_Q2":"Kan Datablist översätta mina produktbeskrivningar utan att förstöra HTML- eller JSON-formatet?","FAQ_A2":"Ja. Vår AI-drivna översättare, som använder modeller som ChatGPT, klarar komplext innehåll. Du kan ange egna instruktioner för att säkerställa att den bara översätter texten och samtidigt bevarar alla HTML-taggar och JSON-strukturer, perfekt för e-handelskataloger.","FAQ_Q3":"Mitt kalkylblad kraschar med vår stora produktkatalog. Hur många produkter kan Datablist hantera?","FAQ_A3":"Kalkylblad har svårt med stora datamängder, men Datablist är byggt för skala. Du kan enkelt hantera produktkataloger med upp till 1,5 miljoner poster per collection, långt bortom gränserna för verktyg som Airtable eller Google Sheets.","FAQ_Q4":"Hur importerar jag min katalog från en plattform som Shopify eller WooCommerce?","FAQ_A4":"E-handelsplattformar som Shopify och WooCommerce låter dig exportera din produktkatalog som en CSV-fil. Du kan importera den CSV-filen direkt till Datablist för att börja städa, berika eller översätta din data.","FAQ_Q5":"Kan jag automatisera hämtning av pris- och lageruppdateringar från mina leverantörer?","FAQ_A5":"Ja. Om dina leverantörer tillhandahåller data via ett API kan du använda vår datakälla 'Import from a remote CSV or JSON file' för att automatiskt hämta och uppdatera din produktinformation. Det hjälper dig att hålla lager och priser i synk utan manuellt arbete.","FAQ_Q6":"Är Datablist ett bra verktyg för e-handelsbyråer som hanterar flera kundkataloger?","FAQ_A6":"Absolut. Du kan skapa separata collections för varje kunds produktkatalog och organisera dem i mappar för enkel hantering. Det gör det till ett centralt och effektivt nav för alla dina uppgifter inom datastädning och datahantering.","FAQ_Q7":"Hur kan jag städa upp inkonsekvent produktdata, som priser eller HTML i beskrivningar?","FAQ_A7":"Datablist erbjuder flera datastädningsverktyg som är perfekta för produktkataloger. Du kan konvertera text med HTML-taggar till ren klartext, normalisera tal med olika avgränsare, ta bort extra blanksteg och ändra textens skiftläge, så att din data blir konsekvent.","FAQ_Q8":"Kan AI hjälpa mig att skriva unika produktbeskrivningar?","FAQ_A8":"Ja. Du kan använda vår enrichment 'Ask ChatGPT' för att generera övertygande produktbeskrivningar utifrån dina produktegenskaper. Det sparar tid och hjälper dig att skapa unikt innehåll i stor skala."},"IndustrySaaSAI":{"PAGE_TITLE":"GTM-co-piloten för SaaS- och AI-startups","PAGE_DESC":"Sluta jonglera röriga kalkylblad och dyra verktyg. Datablist är din allt-i-ett-plattform för att hitta, rensa och berika leads, så att du kan fokusera på att stänga affärer.","HERO_TITLE":"GTM-co-piloten för SaaS- och AI-startups","INDUSTRY_LABEL":"Branscher","HERO_DESC":"Sluta jonglera röriga kalkylblad och dyra verktyg. Datablist är din allt-i-ett-plattform för att hitta, rensa och berika leads, så att du kan fokusera på att stänga affärer.","MASTER_TITLE":"Bygg din säljmotor snabbare","MASTER_BODY":"Som startup är fart allt. Du behöver ett konstant flöde av kvalificerade leads, men att bygga en säljpipeline tar tid. Datablist effektiviserar hela processen, från att hitta prospekt till att personalisera outreach – allt i en lättanvänd no-code-plattform.","PROBLEM_TITLE":"Det är din leadgenerering som är trasig – inte din produkt","PROBLEM_CONTENT_1":"Du scrapar data, köper listor och exporterar från ditt CRM, men det slutar i kaos. Kalkylblad kraschar, data blir inaktuell och ditt team slösar timmar på manuell datainmatning i stället för att sälja.","PROBLEM_CONTENT_2":"Skräddarsydda databaser är ett resursläckage och flera abonnemang på olika verktyg blir snabbt dyrt. Denna ineffektivitet kostar dig affärer.","SOLUTION_TITLE":"En plattform för att bygga, rensa och berika","SOLUTION_CONTENT_1":"Datablist kombinerar kraften i en databas med enkelheten i ett kalkylblad. Det är ett flexibelt no-code-verktyg byggt för GTM-team på snabbfotade startups.","SOLUTION_CONTENT_2":"Samla alla dina leadkällor, städa upp rörig data, berika kontakter med färsk information och automatisera dina workflows utan att skriva en rad kod. Det är den flexibla och kostnadseffektiva lösningen du behöver för att skala.","FEATURES_TITLE":"Allt du behöver för att driva din tillväxt","GRID_SOURCE_TITLE":"Hitta leads med hög köpintention","GRID_SOURCE_BODY":"Gå bortom statiska databaser. Använd vår Job Board Scraper för att hitta företag som aktivt rekryterar – en tydlig signal om budget och ett problem att lösa. Få färska leads dagligen.","GRID_SCRAPE_TITLE":"AI-driven scraping","GRID_SCRAPE_BODY":"Bygg unika leadlistor som dina konkurrenter inte kan köpa. Vår AI Agent scrapar vilken webbplats som helst för att hitta nischad data, kundcase eller specifika teknologier som ett företag använder.","GRID_PERSONALIZE_TITLE":"Personalisera outreach i stor skala","GRID_PERSONALIZE_BODY":"Sluta skicka generiska email. Använd AI Agent för att samla unika insikter för varje prospekt. Hitta ingångar som visar att du gjort din hemläxa och få fler svar.","GRID_DEDUPE_TITLE":"Ta bort dubbletter och slå ihop","GRID_DEDUPE_BODY":"Städa upp dina lead- och kundlistor med vår kraftfulla Duplicates Finder. Slå ihop dubbla poster från flera källor utan att förlora värdefull data och skapa en enda sanningskälla.","GRID_CLEAN_TITLE":"Rensa och berika ditt CRM","GRID_CLEAN_BODY":"Håll din CRM-data korrekt och uppdaterad. Validera emails, standardisera företagsnamn och berika poster med färsk data från LinkedIn och andra leverantörer för bättre kampanjresultat.","GRID_AUTOMATE_TITLE":"Automatisera dina workflows","GRID_AUTOMATE_BODY":"Sätt upp återkommande uppgifter för ett konstant flöde av nya, berikade leads. Schemalägg scrapers och berikningar att köras dagligen eller veckovis, så att ditt säljteam alltid har en full pipeline.","WORKFLOW_TITLE":"Ett beprövat workflow för högkvalitativa leads","WORKFLOW_STEP1_TITLE":"1. Hitta företag med köpintention","WORKFLOW_STEP1_CONTENT_1":"Börja med att hitta företag med ett tydligt behov. Använd vår Job Postings Scraper för att identifiera verksamheter som aktivt rekryterar roller som din produkt eller tjänst stödjer.","WORKFLOW_STEP1_CONTENT_2":"Det är en av de starkaste signalerna på budget och ett brådskande problem att lösa.","WORKFLOW_STEP2_TITLE":"2. Hitta beslutsfattare och kontaktinfo","WORKFLOW_STEP2_CONTENT_1":"När du har dina target accounts använder du vår Waterfall People Search för att hitta rätt kontakter i dessa företag – som Head of Sales eller en Marketing Director.","WORKFLOW_STEP2_CONTENT_2":"Använd sedan vår email finder och phone finder för att få verifierad kontaktinformation.","WORKFLOW_STEP3_TITLE":"3. Samla insikter för personalisering","WORKFLOW_STEP3_CONTENT_1":"Här skaffar du dig ett övertag. Använd AI Agent för att researcha varje prospekt. Be den hitta deras senaste blogginlägg, kundcase eller till och med vilka SaaS-verktyg de använder.","WORKFLOW_STEP3_CONTENT_2":"Du får unika insikter för att skapa outreach-meddelanden som sticker ut och får svar.","WORKFLOW_STEP4_TITLE":"4. Rensa och färdigställ din lista","WORKFLOW_STEP4_CONTENT_1":"Innan du startar din outreach, kör den slutliga listan genom vår Duplicates Finder. Den slår ihop dubbletter av kontakter eller företag och säkerställer en ren, organiserad lista.","WORKFLOW_STEP4_CONTENT_2":"Nu är din lista redo att synkas med ditt sälj-CRM eller en email sequencer.","SEE_ALSO":"Se även","FAQ_Q1":"Hur skiljer sig Datablist från en standard B2B-databas som ZoomInfo eller Apollo?","FAQ_A1":"Medan B2B-databaser levererar statisk, förinsamlade data ger Datablist dig möjligheten att bygga färska, proprietära leadlistor från källor i realtid. Du kan använda våra Job Scrapers för att hitta företag med aktiv rekryteringsintention – en stark köpsignal. Vår AI Agent kan även göra custom web scraping för att samla nischad data som ingen databas erbjuder, vilket ger dig ett unikt konkurrensövertag.","FAQ_Q2":"Min startup behöver högkvalitativa leads, snabbt. Hur kan Datablist hjälpa?","FAQ_A2":"Datablist är byggt för hastighet. Börja med att hitta företag med omedelbara behov via vår Job Postings Scraper, som samlar data från över 19 jobbsajter. Använd sedan våra Waterfall-berikningsverktyg för att snabbt hitta beslutsfattare och deras verifierade kontaktinformation. Hela workflowet – från att sourca konton till att ha en lista redo för outreach – kan göras på några minuter.","FAQ_Q3":"Behöver jag en utvecklare eller tekniska färdigheter för att använda Datablist?","FAQ_A3":"Nej, Datablist är en no-code-plattform. Den kombinerar ett användarvänligt kalkylbladsgränssnitt med kraftfull AI och automationsverktyg. Du kan göra komplexa uppgifter som web scraping, datarensning och enrichment med enkla, naturliga language prompts och ett point-and-click-gränssnitt. Den är byggd för GTM-team, inte utvecklare.","FAQ_Q4":"Hur hjälper Datablist mitt säljteam med email-personalisering?","FAQ_A4":"Generisk outreach fungerar inte. Datablists AI Agent fungerar som en researchassistent åt ditt säljteam. Du kan instruera den att besöka varje prospekts webbplats och hitta unika pratpunkter, som senaste kundcase, specifika teknologier de använder eller företagsnyheter. Det gör att du kan skapa högst personliga meddelanden i skala och kraftigt öka svarsfrekvensen.","FAQ_Q5":"Vi har röriga leadlistor från flera källor. Hur hanterar Datablist rensning och deduplicering?","FAQ_A5":"Datablist är bäst i klassen på datahygien. Vår Duplicates Finder använder avancerade algoritmer, inklusive fuzzy matching, för att identifiera liknande poster över flera filer – även med små variationer i namn eller detaljer. Du kan sedan automatiskt slå ihop dubbletter, kombinera motstridig information (som flera telefonnummer) utan att förlora data och standardisera fält för att skapa en enda, ren sanningskälla.","FAQ_Q6":"Kan jag automatisera leadgenerering för att få ett kontinuerligt flöde av prospekt?","FAQ_A6":"Ja. Datablist är byggt för automation. Du kan schemalägga dina datakällor, som Job Postings Scraper, att köras dagligen eller veckovis. Det säkerställer att ditt team alltid har en färsk lista med företag med hög köpintention att bearbeta, vilket skapar en konsekvent och förutsägbar säljpipeline med minimal manuell insats.","FAQ_Q7":"Är prismodellen kostnadseffektiv för en startup?","FAQ_A7":"Absolut. Datablist använder ett kreditbaserat system för berikningar, så du betalar bara för det du använder – perfekt för startups med budgetansvar. Många funktioner, som Free Email Validator, är obegränsade och våra betalplaner är betydligt mer prisvärda än att abonnera på flera separata verktyg för scraping, rensning och enrichment.","FAQ_Q8":"Hur integrerar Datablist med ditt befintliga CRM och dina säljverktyg?","FAQ_A8":"Datablist är gjort för att passa in i ditt befintliga workflow. Vi erbjuder en direktintegration med Pipedrive för smidig datasynk. För andra CRM som HubSpot eller Salesforce kan du enkelt exportera dina rensade och berikade listor som CSV- eller Excel-filer för snabb import. Du kan också koppla Datablist till tusentals appar via verktyg som Zapier."},"Alternatives":{"HERO_DESC":"Datablist är ett verktyg för Lead Management och ett bra alternativ till {toolName}. Datablist är det perfekta verktyget för att bygga skräddarsydda workflows för leadgenerering. Jämför Datablist och {toolName} och se vilket verktyg som passar dig bäst.","WHAT_IS_TITLE":"Vad är {toolName}?","WHAT_IS_DESC":"{toolName} är ett SaaS-verktyg som hjälper säljteam att köra outreach-kampanjer. Det integrerar flera tjänster för databerikning och automatiserar skapandet av personliga outreach-meddelanden med AI. Sedan kopplar {toolName} mot CRM-system och outreach-verktyg för att skicka kampanjerna.","COMPARISON_TITLE":"Var är Datablist bättre?","COMPARISON_CONTENT_1":"Datablist och {toolName} är två verktyg för att hantera leadlistor.","COMPARISON_CONTENT_2":"Datablist fokuserar på datastädning, deduplicering av leads och skräddarsydda workflows med vårt REST API. Datablist är snabbt och kan hantera hundratusentals leads utan problem.","COMPARISON_CONTENT_3":"Clay fokuserar på leads sourcing och waterfall-berikning.","COMPARISON_CONTENT_4":"Om du vill bygga en centraliserad leads-databas med avancerad deduplicering och kraftfull datastädning för att säkerställa datakvalitet är Datablist för dig.","BENEFITS_TITLE":"Varför byter team från {toolName} till Datablist?","COST_EFFECTIVE_TITLE":"Datablist är ett billigare alternativ till {toolName}","COST_EFFECTIVE_DESC":"Clay har en begränsad gratisplan. Clays startplan börjar på 149 USD/månad med endast 2 000 credits. Datablist har ett billigare månadsabonnemang och billigare kreditpaket. Ju mer du använder verktyget för web scraping, datastädning och databerikning av dina leads, desto mer pengar sparar du med Datablist.","CLEANING_TITLE":"Avancerade verktyg för datastädning och deduplicering","CLEANING_DESC":"Datablist erbjuder avancerade verktyg för datastädning. Från konvertering av datatyper till normalisering av data – Datablist slår kalkylbladsverktyg för datastädning i stor skala. Lead-deduplicering är en inbyggd funktion i Datablist. Fuzzy matching och avancerad sammanslagning av dubletter förhindrar att du berikar samma lead två gånger.","API_TITLE":"Utbyggbart via API","API_DESC":"Datablists datalager är fullt åtkomligt via API. Skapa collections, properties och items med vårt RESTful API. Använder du Make.com eller Zapier? Koppla dem till Datablist via API:t för att bygga kraftfulla outreach-workflows.","SCALE_TITLE":"Hantera större listor","SCALE_DESC":"Datablist hanterar upp till 100 000 items med molnsynkronisering och upp till 2 miljoner items för datamanipulation, transformation och datastädning. Skala din lead management utan prestandaproblem.","SUPERIOR_TITLE":"Datablist: Ett överlägset alternativ för leadgenerering","SUPERIOR_INTRO":"På Datablist förstår vi utmaningarna användare stöter på med andra verktyg för leadgenerering som Clay. Därför har vi utformat vår plattform så att den är användarvänlig, snabb och lätt att integrera i dina befintliga workflows. Vårt intuitiva gränssnitt säkerställer en smidig igångsättning med minimal inlärningskurva, så att du snabbt kan börja generera leads utan krångel.","ACCURATE_DATA_TITLE":"Korrekt och tillförlitlig data","ACCURATE_DATA_DESC":"Vi prioriterar datakvalitet och ser till att du får uppdaterad och korrekt kontaktinformation. Det ger effektivare outreach-kampanjer och bättre konverteringsgrad. Säg hej då till inkonsekvenser och inaktuell data som ofta upplevs på andra plattformar.","AFFORDABLE_PRICING_TITLE":"Prisvärd prissättning","AFFORDABLE_PRICING_DESC":"Datablist erbjuder konkurrenskraftig och transparent prissättning som passar företag i alla storlekar. Vår kostnadseffektiva modell säkerställer att du får maximalt värde utan oväntade kostnader. Till skillnad från andra verktyg behöver du inte oroa dig för att kostnaderna snabbt skenar.","RESPONSIVE_SUPPORT_TITLE":"Snabb kundsupport","RESPONSIVE_SUPPORT_DESC":"Vårt dedikerade supportteam är alltid redo att hjälpa dig snabbt, så att eventuella problem löses skyndsamt och effektivt. Vi är stolta över våra snabba svarstider och vårt expertstöd, så att du kan fokusera på det som är viktigast - att växa ditt företag.","SUPERIOR_CONCLUSION":"Välj Datablist för en smidig, pålitlig och prisvärd upplevelse av leadgenerering.","SEE_ALSO":"Se även","ENRICHMENTS":"Berikningar","ENRICHMENTS_DESC":"Upptäck våra tjänster för databerikning för att förbättra din leaddata med företagsinformation, kontaktuppgifter och mer.","DATA_SOURCES":"Datakällor","DATA_SOURCES_DESC":"Utforska alla tillgängliga datakällor för att importera och scrapa data från olika plattformar och webbplatser.","API_DOCS":"API-dokumentation","API_DOCS_DESC":"Lär dig hur du integrerar Datablist med dina befintliga workflows med hjälp av vårt omfattande REST API.","LEAD_BUILDING":"Bygga leadlistor","LEAD_BUILDING_DESC":"Behärska konsten att bygga högkvalitativa leadlistor med vår omfattande guide och våra verktyg."},"AIPrompts":{"metadata":{"title":"AI Prompts","description":"Använd våra AI prompts för att förbättra leadgenerering, berikning och datastädning. Dessa prompts hjälper dig att hitta högkvalitativa leads och hålla din data korrekt. Använd AI för att identifiera potentiella kunder och uppdatera lead-information. Perfekt för företag som vill skala med AI-drivna verktyg som optimerar leadhantering."},"breadcrumb":{"home":"Hem","aiPrompts":"AI Prompts"},"header":{"category":"AI-verktyg för affärstillväxt","title":"De bästa AI prompts för leadgenerering, berikning & datastädning","description":"Automatisera lead-sökning, berikning och datastädning. Dessa AI prompts skalar dina GTM-workflows."},"enrichment":{"title":"AI Agent Prompts (Berikning)","description":"Använd dessa prompts för att berika dina befintliga poster. Kör AI prompts på dina nuvarande poster för att hitta saknade detaljer, göra research eller analysera information för varje rad."},"dataSource":{"title":"Source AI Agent Prompts (Datakälla)","description":"Dessa prompts skapar nya poster. Använd dem för att skrapa webbplatser på strukturerad information, hitta kontakter som matchar specifika kriterier eller bygga riktade listor från grunden med AI. Börja med en URL, en instruktion eller input från en annan collection för att generera ny data."},"cta":"Visa prompt","detail":{"metadataTitle":"ChatGPT-prompt för: {title}","metadataNotFound":"AI Prompt kunde inte hittas","pageTitle":"ChatGPT-prompt för: {title}","pageTitleDataSource":"AI Agent-prompt: {title}","breadcrumbHome":"Hem","breadcrumbEnrichments":"Enrichments Store","breadcrumbAIPrompts":"AI Prompts","copiedText":"Prompt kopierad","copyText":"Kopiera prompt till urklipp","relatedPrompts":"Relaterade prompts"},"enrichmentContent":{"howToTitle":"Hur använder jag den här prompten på en CSV-fil?","howToIntro":"**Datablist låter dig ta en hel CSV-fil och köra prompts direkt på varje rad.**","howToTemplates":"Den goda nyheten är att prompten du behöver redan finns i Datablist under avsnittet \"Templates\". Du behöver inte börja från scratch! Välj helt enkelt mallen som passar din uppgift, så är den redo att köras på varje rad i din CSV. Det gör det ännu enklare att transformera din data med bara några klick.","openDatablist":"Öppna Datablist","noSignup":"Ingen registrering krävs","step1":"Importera din CSV-fil i Datablist. Välj sedan \"Enrich\" i toppmenyn.","step2":"Välj mallen: **{title}**","step2Image":"Välj mall","step3":"Ersätt variablerna i prompten med egenskaper från din collection med hjälp av `/` eller '{{'.","step3Image":"Definiera variabler med din collections egenskaper","step4":"Om du inte har alla variabler, redigera bara prompten.","step5":"**Klart!** Du kan nu köra prompten på varje rad i din CSV-fil och få resultatet i en ny kolumn. \u000f🚀","costTitle":"Vad kostar det?","costIntro":"Du har två alternativ. Båda är väldigt enkla.","option1Title":"Alternativ 1 – Använd din egen OpenAI API-nyckel.","option1Desc1":"Helt gratis från vår sida. Koppla bara in din nyckel så skickar Datablist förfrågningar via ditt konto. Du betalar OpenAI direkt enligt deras användningspriser. Ingen mellanhand. Inga extra avgifter.","option1Desc2":"Med din API-nyckel kan du för 1\u0000a0000 poster betala OpenAI omkring **$2**.","option1Desc3":"Detta är perfekt om du redan har en OpenAI-nyckel eller vill ha full kostnadskontroll.\n**Bonus:** inga rate limits från oss!","option2Title":"Alternativ 2 – Använd Datablist Credits.","option2Desc1":"Ingen API-nyckel? Inga problem. Du kan använda Datablists inbyggda ChatGPT-konto. Vi hanterar API-delen åt dig. Du betalar bara med Datablist Credits.","option2List1":"API-nyckelkonfiguration – överhoppas","option2List2":"ChatGPT rate limits – undviks","option2List3":"Kontobegränsningar – inte ditt problem","option2Desc2":"Det fungerar bara.","tldr":"TL;DR","tldrKey":"**Använd din nyckel** = billigare","tldrCredits":"**Använd Datablist Credits** = enklare","tldrEnd":"Oavsett vilket har du kontrollen.","aiAgentTitle":"Kommentar om AI Agent-prompts","aiAgentDesc1":"Den här prompten är gjord för Datablist [AI Agent](/enrichments/ai-agent) berikning. **En AI Agent är ett smart verktyg som använder artificiell intelligens (AI) för att utföra uppgifter åt dig. Den kan surfa på webbplatser, använda Google för att hitta information och interagera med olika onlinetjänster.** Det betyder att den kan hjälpa dig med realtidsdata och uppdaterade svar.","aiAgentDesc2":"ChatGPT API kan å andra sidan bara analysera inmatad text och svara baserat på sin befintliga kunskap. Den kan inte komma åt internet eller samla ny information på egen hand.","aiAgentDesc3":"En AI Agent ger en mer dynamisk upplevelse genom att hämta realtidsdata, medan ChatGPT API förlitar sig på förhandskunskap för att svara på frågor.","aiAgentDesc4":"**När du interagerar direkt på [https://chatgpt.com/](https://chatgpt.com/) interagerar du med en Agent. Ibland går den online för att ge extra information till din prompt (men inte ofta). Andra verktyg som är anslutna till ChatGPT använder dock API:et. Så kom ihåg att den här prompten inte kan användas i ett annat verktyg som anropar ChatGPT API.**","aiAgentDesc5":"Datablist [AI Agent](/enrichments/ai-agent) kör en agent på varje rad i din CSV."},"aiScraperContent":{"howToTitle":"Så här använder du den här AI-prompten","step1Title":"**Create a New Collection**: Börja med att skapa en ny, tom collection i Datablist där datan ska lagras. Klicka på '+ Create new collection' i sidomenyn.","step1ImageAlt":"AI web scraping > vanlig web scraping","step2Title":"**Select the AI Agent Source**: Klicka på \"See all sources\" eller gå till \"Import\" -> \"Import From Data Sources\". Välj \"AI Agent - Site Scraper\".","step2ImageAlt":"Välj AI Agent - Site Scraper","step3Title":"**Konfigurera källan**:","step3Item1":"**Select Template**: Leta upp och välj prompten i \"Template\"-rullgardinsmenyn. Prompten ovan laddas automatiskt.","step3Item2":"**URL to Scrape**: Ange din URL att skrapa","step3Item3":"**Enable Pagination (Optional)**: Om resultaten finns på flera sidor, markera ***Enable Pagination*** och sätt en rimlig gräns för ***Max Pages*** (t.ex. 10).","step3Item4":"**Customize (Optional)**: Du kan justera AI-modellen (t.ex. GPT-4o mini är ofta kostnadseffektiv), redigera prompten för specifika behov eller ändra förväntade ***Outputs***.","step3ImageAlt":"AI web scraping > vanlig web scraping","step4Title":"**Granska Outputs**: Klicka på ***Continue***. Datablist visar de output-fält som definieras i prompten (Project Name, Client Company Name). Klicka på ***+***-ikonen bredvid varje fält för att skapa motsvarande egenskaper (kolumner) i din collection.","step4ImageAlt":"Outputs","step5Title":"**Run Import**: Klicka på ***Run import now***. AI Agent börjar skrapa webbplatsen baserat på prompten och fyller din collection.","pricingTitle":"Prissättning","pricingDesc":"Den här datakällan använder Datablist Credits baserat på användning. Kostnaden beror på webbplatsens komplexitet och antalet besökta sidor.","pricingTest":"Testa att köra AI Agent på en enda sida först för att uppskatta kostnaden.","faqTitle":"FAQ","faq1Question":"Hur startar jag en ny körning med samma konfiguration?","faq1Answer":"När du har kört din AI Agent klickar du på den rosa knappen längst upp till höger i din datatabell för att öppna den igen med senast använda inställningar.","faq1ImageAlt":"Använd dina befintliga agentinställningar","faq2Question":"Vad händer om AI Agent försöker komma åt en skyddad webbplats eller blir blockerad?","faq2Answer":"AI Agent använder automatiskt proxyservrar vid behov för att komma åt webbplatser som kan ha skydd mot scraping eller geografiska begränsningar. Det ökar chansen för lyckad datautvinning, men mycket hårt skyddade sajter kan fortfarande vara en utmaning.","faq3Question":"Hur mycket data kan jag bearbeta med AI Agent?","faq3Answer":"När du kör AI Agent (antingen som berikning eller som en datakälla) kan Datablist-collections hantera upp till 100\u0000a0000 poster (rader). För större dataset kan du behöva dela upp datan i flera collections.","faq4Question":"Hur skiljer sig AI Agent från ChatGPT/Claude/Gemini-berikningarna?","faq4Answer":"Standard-AI-berikningar (ChatGPT, Claude, Gemini) bearbetar data som redan finns i din collection med AI:ns befintliga kunskap. AI Agent kan aktivt interagera med det levande webben—göra Google-sökningar, surfa på webbplatser och extrahera ny information baserat på din prompt.","faq5Question":"Hur exakta är resultaten?","faq5Answer":"Noggrannheten beror i hög grad på hur tydlig och specifik din prompt är, samt på uppgiftens komplexitet och tillgänglig information online. Tydliga instruktioner, exempel och regler för felhantering förbättrar resultaten. Datablist tillhandahåller ofta en konfidenspoäng för AI Agent-utdata för att hjälpa dig bedöma tillförlitligheten."},"aiOnColContent":{"step1Title":"**Create a New Collection**: Börja med att skapa en ny, tom collection i Datablist där datan ska lagras. Klicka på '+ Create new collection' i sidomenyn.","step1ImageAlt":"Ny Collection","step2Title":"**Konfigurera källan**:","step2Item1":"**Select Template**: Leta upp och välj prompten i \"Template\"-rullgardinsmenyn. Prompten ovan laddas automatiskt.","step2Item2":"**For every item in**: Ange en collection med poster. AI Agent körs för varje post.","step2Item3":"**Prompt**: Redigera prompten med variabler från din collection. Använd \"/\" för att välja en egenskap.","step2Item4":"**Customize (Optional)**: Du kan justera AI-modellen (t.ex. GPT-4o mini är ofta kostnadseffektiv), redigera prompten för specifika behov eller ändra förväntade ***Outputs***.","step2ImageAlt":"Exempel på prompt"}},"About":{"metadata":{"title":"Om oss","description":"Vårt uppdrag är att hjälpa dig att förvandla din verksamhet till ett digitalt företag."},"jsonLd":{"description":"Vårt uppdrag är att hjälpa dig att förvandla din verksamhet till ett digitalt företag."},"vision":{"heading":"Väx din verksamhet med data","paragraph1":"Med samarbete landade vi en människa på månen och vår medellivslängd har fördubblats sedan 1900.","paragraph2":"Teknik är en katalysator och en multiplikator för vad samarbete kan åstadkomma. Före den industriella revolutionen 1750 fördubblades den genomsnittliga individuella inkomsten vart 6 000:e år; sedan dess har den fördubblats vart 50:e år.","paragraph3":"I en organisation hjälper Teknik människor att producera mer och automatiserar repetitiva uppgifter så att organisationens produktivitet ökar.","paragraph4":"Vi tror att denna produktivitetsökning är nyckeln till att förbättra levnadsstandarden i världen. Priset på varor sjunker och produktivitetsvinster gör att människor kan lägga mer tid på aktiviteter utanför arbetet.","paragraph5":"När vi producerar mer med mindre arbete får vi mer tid att tillbringa med våra nära och kära!"},"approach":{"heading":"Vårt arbetssätt","paragraph1":"Innan Datablist arbetade jag åtta år som medgrundare och CTO på ett SaaS-företag med 80 % ingenjörer.","paragraph2":"Vi optimerade och automatiserade vår produktutveckling. Vi byggde test- och deployment-pipelines så att varje kodändring ledde till en stabil ny version för våra kunder.","paragraph3":"Ändå förlitade sig vår verksamhet, precis som många andras och kanske din, på kalkylblad. Från onboarding av medarbetare till mailinglistor, eller för <ProspectBuildingLink>att bygga prospekteringslistor</ProspectBuildingLink>, finns det inga alternativ till lättanvända kalkylbladsverktyg.","paragraph4":"När dina interna processer ligger i kalkylblad är du halvvägs i din digitalisering. Men den andra halvan av digitaliseringen är svår. Att implementera automation med kalkylblad eller koppla ihop kalkylblad leder oftare till tårar än glädje. Vi har alla dåliga erfarenheter av flera versioner, dubbletter eller ogiltig data.","paragraph5":"Det är därför vi bygger Datablist. Datablist tillför datastrukturer samtidigt som det är flexibelt, så att du kan skapa dina unika processer.","paragraph6":"Vårt uppdrag är att hjälpa dig att förvandla din verksamhet till ett digitalt företag. Föreställ dig ett digitalt operativsystem med interna verktyg drivna av data. Skalbart, flexibelt och utbyggbart så att ditt digitala operativsystem växer med din verksamhet."},"learnMore":{"heading":"Våra tankar"},"team":{"heading":"Team","members":{"florian":{"name":"Florian Poullin","title":"Grundare","description":"Tidigare: Medgrundare och CTO på IZBERG-Marketplace (förvärvat i januari 2019 av Open Group, ett franskt börsnoterat företag)"},"habib":{"name":"Habib Benabdeslam","title":"GTM & Growth Expert","description":"Habib kombinerar sin passion för människor, teknik och tävling för att leda tillväxten på Datablist."}},"tooltips":{"followLinkedIn":"Följ {name} på LinkedIn","followTwitter":"Följ {name} på Twitter","bookCall":"Boka ett samtal med {name}"},"altText":"{name} - Datablist"}},"Contact":{"metadata":{"title":"Kontakt ","description":"Kontakta Datablist för support, frågor om försäljning eller för att boka en demo."},"header":{"category":"Kontakt","title":"Skicka ett meddelande till oss","description":"Begär support, chatta med vårt team eller få prisuppgifter."},"support":{"title":"Teknisk support","description":"För teknisk support kan du kontakta oss via email. Dela gärna skärmdumpar och så mycket kontext som möjligt.","showEmailButton":"Visa supportens emailadress","generatingButton":"Genererar email-knapp...","emailButton":"Klicka här för att skicka ett email"},"sales":{"title":"Försäljning & Marknadsföring","description":"För att skicka ett meddelande till vårt säljteam, fyll i detta formulär.","button":"Säljfråga"},"demo":{"title":"Få en demo","description":"Lär dig mer om våra produkter via en skräddarsydd live-demo med vårt säljteam.","button":"Boka demo-samtal"},"salesPage":{"metadata":{"title":"Kontakt ","description":"Kontakta Datablist för support, säljfrågor eller för att boka en demo."},"breadcrumb":{"contact":"Kontakta oss","current":"Sälj & Marknadsföring"},"header":{"category":"Kontakt","title":"Kontakta vårt sälj- och marknadsteam","description":"Fyll i formuläret nedan för affärsförfrågningar."}}},"Pricing":{"metadata":{"title":"Priser","description":"Välj den perfekta planen för dina databehov. Flexibla priser för individer och team."},"header":{"title":"Priser","subtitle":"Starta gratis (<link>du kan börja utan att registrera dig</link>). Uppgradera för att låsa upp potentialen i din data."},"switcher":{"monthly":"Månadsvis","yearly":"Årsvis","discount":"-20%"},"plans":{"creditsYear":"{credits} credits per år.","creditsMonth":"{credits} credits per månad.","includedUsers":"{users} {users, plural, =1 {user} other {users}} ingår","extraUsersMonth":"Sedan {price}/användare/månad","extraUsersYear":"Sedan {price}/användare/år","free":{"name":"Gratisplan","price":"0","users":"En användare","extraUsers":"Inga extra användare tillåtna","credits":"500 krediter per år","bulletsText":"Gratisplanen innehåller:","bullets":["Obegränsat antal samlingar","Importera upp till 1 miljon objekt per samling som lagras i din webbläsares lagring","Dubblettsökning","Tillgång till kostnadsfria databerikningar","Importera CSV- och Excel-filer","Exportera till CSV- och Excel-filer"],"restrictions":["Ingen molnsynkronisering","Ingen berikningsautomation","Inga premium-berikningar","Ingen anpassad API-berikning","Inga exportintegrationer"]},"starter":{"name":"Starter","creditsExtra":"Fyll på med fler krediter.","billedYearly":"faktureras årligen","bulletsText":"Allt i Gratisplanen, och dessutom:","bullets":["Importera upp till 2 miljoner objekt per samling som lagras i din webbläsares lagring","Synka samlingar med färre än 100 000 objekt i molnet","Avancerad filtrering med reguljära uttryck och filtergrupper.","Avancerade dedupliceringsalgoritmer och inställningar för automatisk sammanslagning","Deduplicering mellan flera samlingar","Avancerade algoritmer för dataextraktion","Kodbibliotek för JavaScript-körning","AI Agent-berikning","Tillgång till alla premium-berikningar","Prioriterad support"],"restrictions":["Ingen berikningsautomation","Inga exportintegrationer","Ingen anpassad API-berikning","Ingen åtkomst till REST API"]},"growth":{"name":"Growth","creditsExtra":"Fyll på med fler krediter.","billedYearly":"faktureras årligen","mostPopular":"Mest populär","bulletsText":"Allt i Starter-planen, och dessutom:","bullets":["Berikningsautomation","Automatisering av datakällor","Anpassad API-berikning","Datablist REST API","Teknisk onboarding"]},"common":{"perMonth":"per månad","signUp":"Registrera dig","notIncluded":"Ingår inte:"}},"faq":{"title":"Vanliga frågor","subtitle":"Nedan hittar du svar på de frågor vi oftast får om våra abonnemang","questions":{"canIUseFree":{"title":"Kan jag använda Datablist gratis?","message":"Gratisplanen är gratis för alltid. Den är utformad för individer med sporadiska behov. Våra betalplaner erbjuder fler datafunktioner, molnsynk och teamhantering."},"whatIsCollection":{"title":"Vad är en Datablist-samling?","message":"I Datablist struktureras din data med samlingar som innehåller objekt. Alla objekt i en samling delar samma datastruktur. Till exempel kan en samling vara en lista med sales leads, mailing list emails eller rekryteringskandidater. <link>Se dokumentationen för samlingar</link>."},"whereIsDataStored":{"title":"Var lagras min data?","message":"Datablist använder en lokal databas som tillhandahålls av webbläsare för att lagra strukturerad data. En lokal databas är perfekt för snabb åtkomst och en responsiv användarupplevelse. Men den lokala datan är begränsad till din webbläsare och riskerar att gå förlorad. För betalplaner synkas samlingar med upp till 100 000 objekt i molnet."},"canIExport":{"title":"Kan jag exportera min data som lagras i Datablist?","message":"Självklart! Data är din tillgång och exporter är gratis och obegränsade. Du kan exportera datan direkt från dina samlingar i CSV- och/eller Excel-format. För samlingar som inte synkas i molnet rekommenderar vi att du gör regelbundna exporter för att säkerhetskopiera din data ifall din webbläsare raderar den. Observera att Excel har vissa begränsningar för cellstorlek och antal rader. En stor samling kanske inte kan exporteras i Excel-format."},"whatAreCredits":{"title":"Vad används krediterna till?","message":"För vissa berikningar (OpenAI, Google Translate, Deepl, Email Finder, etc.) förlitar sig Datablist på tredjeparts-API:er. De flesta tredjeparts-API:er är betaltjänster. För att hantera detta använder Datablist ett kreditsystem. Alla andra funktioner (deduplicering, redigering, filtrering osv.) är obegränsade. <link>Mer om Datablist-krediter</link>."},"whenCreditsYearly":{"title":"När får jag mina krediter för årsplanen?","message":"På årsplaner får du summan av månadskrediterna vid teckningstillfället. I Starter-planen får du 60 000 krediter på en gång, och i Growth-planen får du 240 000 krediter."},"whatIsEnrichment":{"title":"Vad är en berikning?","message":"<enrichmentsLink>Berikningar</enrichmentsLink> är online-program som utför operationer på alla eller en del av objekten i din samling. Datablists <storeLink>Enrichments Store</storeLink> innehåller berikningar för leadgenerering, textöversättning, web scraping, ChatGPT, etc."},"premiumEnrichmentsList":{"title":"Har ni en lista över premium-berikningar?","message":"Vi lägger till berikningar varje månad. För en uppdaterad lista över våra berikningar, <link>öppna Datablist</link> och klicka på knappen \"Enrich\" i en samlings header. Alla berikningar listas där. En \"Premium\"-etikett syns bredvid premium-berikningar."},"canBrowserDelete":{"title":"Kan min webbläsare radera min lokala data?","message":"Det kan hända om du rensar webbläsarens cache eller när du når din hårddiskgräns. Den lokala databasen som Datablist använder raderas tillsammans med cookies, cachelagrad data och annan webbplatsskapad data när du rensar webbplatsdata i din webbläsare. För att förhindra dataförlust, använd molnsynkronisering (tillgänglig för samlingar med färre än 100 000 objekt i betalplanerna). Ett annat sätt att skydda din data är att regelbundet exportera den till en CSV-fil."},"cloudSyncLimit":{"title":"Vad händer när jag når gränsen för molnsynkning av objekt?","message":"Betalplaner har molnsynkning för samlingar med färre än 100 000 objekt. För större samlingar är molnsynkning ännu inte möjlig och samlingens data lagras endast i din webbläsare."},"browserSupport":{"title":"Fungerar Datablist i alla webbläsare?","message":"Datablist kräver en modern webbläsare. Nya versioner av Chrome, Safari, Firefox och Edge stöds. Internet Explorer stöds inte. Datablist riktar sig för närvarande mot webbläsare på dator. En mobilversion som är kompatibel med mobila webbläsare finns på vår roadmap."},"freeVsPremium":{"title":"Vad är skillnaderna mellan gratis- och premium-berikningar?","message":"Gratisberikningar är tillgängliga för registrerade gratisanvändare medan premium-berikningar är begränsade till kunder. Premium-berikningar förlitar sig vanligtvis på tredjepartstjänster och har månatliga anropsbegränsningar."},"hitEnrichmentLimit":{"title":"Vad händer när jag når gränsen för premium-berikningar?","message":"När dina krediter är slut kan du inte köra premium-berikningar. Du kan fylla på ditt kreditsaldo eller vänta på att dina månadskrediter förnyas."},"paymentOptions":{"title":"Vilka betalningsalternativ har jag?","message":"Alla månadsbetalningar görs via kreditkort eller paypal. Datablist använder Chargebee, Stripe eller Paypal för att behandla och lagra kreditkortsdata."},"canCancel":{"title":"Kan jag när som helst avsluta min plan?","message":"Det finns ingen bindningstid hos Datablist. Gå bara till abonnemangssektionen och klicka på 'Downgrade account'."},"canUpgrade":{"title":"Kan jag uppgradera från Starter till Growth-planen?","message":"Ja. Du kan uppgradera från Starter till Growth-planen. När du går från Starter till Growth sker ändringen omedelbart och du debiteras pro rata för de dagar som återstår innan nästa faktureringscykel. Till exempel, om din faktureringsdag är den 5:e varje månad och du uppgraderar till Growth den 1:a, debiteras du mellanskillnaden för de återstående 5 dagarna."},"canDowngrade":{"title":"Kan jag nedgradera från Growth till Starter-planen?","message":"Ja. Du kan nedgradera från Growth till Starter-planen. När du nedgraderar träder ändringarna i kraft vid slutet av faktureringscykeln. Till exempel, om din faktureringsdag är den 5:e varje månad och du nedgraderar till Starter den 1:a, ligger du kvar på Growth till den 5:e."},"refunds":{"title":"Erbjuder ni återbetalningar?","message":"Vi erbjuder inte återbetalningar, tyvärr. Produkten kan testas med vår gratisversion."}}},"cloudAgency":{"title":"Cloud Agency? Låt oss prata!","description1":"Är du en byrå för leadgenerering? Låt oss ta fram en plan som passar dina behov.","description2":"Vi erbjuder också Professional Services för kundanpassade integrationer eller specifika behov.","description3":"<link>Boka ett samtal med oss.</link>","complexUseCase":{"title":"Har du ett komplext användningsfall?","description1":"För byråer, teknologipartners, professional services-partners eller alla med ett komplext behov: Vänligen <contactLink>kontakta oss</contactLink> eller <bookLink>boka ett samtal med vårt team</bookLink>.","description2":"Kolla också in vårt <helpLink>Hjälpcenter</helpLink> för att lära dig mer om hur Datablist fungerar."}},"v4":{"hero":{"eyebrow":"Priser","title":["Enkla abonnemang. Korrekta data.","Kraftfulla AI-workflows."],"description":"Välj ett abonnemang med de funktioner du behöver och lägg sedan till krediter i takt med att din användning ökar.","badges":["Abonnemang för individer och team","Obegränsade dataåtgärder","Avsluta när som helst"],"note":"Betalda abonnemang inkluderar krediter för databerikning. Gratisversionen inkluderar 500 krediter per år."},"billing":{"monthly":"Månadsvis","yearly":"Årsvis","save":"Spara {discount}%"},"common":{"currency":"$$","currencyCode":"USD","price":"{currency}{amount}","perMonth":"/mån","freeForever":"gratis för alltid","billedYearly":"faktureras årsvis","includedCredits":"Inkluderade krediter","freeCredits":"500 krediter/år","creditsSelector":"{amount} krediter/mån","creditsComparison":"{amount} krediter/mån","includedInPlan":"ingår i abonnemanget","addOnNote":"+${price}/mån som tillägg","choose":"Välj {name} {reason}","featuresPrevious":"Du får allt i <muted>{name}</muted> plus:","popular":"Populärast","breakdown":"Se specifikation","startFree":"Börja gratis","startTrial":"Börja gratis","limited":"Begränsat","limitedTooltip":"Tillgängligt med dina 500 kostnadsfria krediter. Körningar är långsammare med gratisabonnemanget.","loading":"Läser in priser…","creditsMonth":"{amount} krediter per månad","creditsYear":"{amount} krediter per år","includedUsers":"{users, plural, =1 {1 användare ingår} other {# användare ingår}}","extraUsersMonth":"Därefter {price}/användare/månad","extraUsersYear":"Därefter {price}/användare/år","annualBilling":"{price} faktureras årsvis","buyCredits":"Köp krediter i Datablist"},"plans":{"free":{"name":"Gratis","tag":"För enskilda användare som rensar och utforskar data i webbläsaren.","cta":"Börja gratis","micro":"Inget kort krävs.","choose":"om du bara behöver enkel deduplicering och datarensning.","featuresHeading":"Viktiga funktioner som ingår:","features":["<accent>5 verktyg för datarensning och extrahering</accent>: deduplicering, sök och ersätt, massredigering","ChatGPT-/Claude-integration med din egen nyckel","AI-redigering (begränsad)","2 miljoner poster/tabell, endast i webbläsaren","En användare","Begränsade berikningar","Långsam körningshastighet","Ingen molnbackup"]},"starter":{"name":"Starter","tag":"För individer som använder workflows för scraping, berikning och rensning.","cta":"Börja gratis","micro":"Inget kort krävs.","choose":"om du vill scrapa leads, undersöka konton och berika data på en och samma plattform.","featuresHeading":"Allt i Gratis plus:","features":["<accent>Över 50 verktyg för scraping och berikning av leads</accent>: email- och telefonnummersökning, LinkedIn, domäner, företagsdata med mera","<accent>Över 20 avancerade rensningsverktyg</accent>: verifiering, rensare och parsers","Sales Navigator Scraper","AI Research Agent och AI Scraping Agent","Molnbackup, upp till 100 000 rader/tabell","{users, plural, =1 {1 användare ingår} other {# användare ingår}}","Grundläggande support"]},"growth":{"name":"Growth","tag":"För individer och små team som automatiserar databerikning.","cta":"Börja gratis","micro":"Inget kort krävs.","choose":"om du vill berika data och automatisera workflows.","featuresHeading":"Allt i Starter plus:","features":["Automatiseringar (schemalagda och triggerbaserade)","REST API + Call HTTP","Integrationer (Lemlist, Pipedrive med flera)","{users, plural, =1 {1 användare ingår} other {# användare ingår}}","Prioriterad support"]},"scale":{"name":"Scale","tag":"För växande team och byråer som driver GTM-system i stor skala","cta":"Börja gratis","micro":"Inget kort krävs.","choose":"om du hanterar stora databaser, vill använda dina egna AI-nycklar och behålla dina oanvända krediter.","featuresHeading":"Allt i Growth plus:","features":["Överföring av oanvända krediter","Egen nyckel för AI Agent","Molnbackup, upp till 200 000 rader/tabell","Dedikerad Customer Success Manager","Prioriterad support + onboarding"]}},"enterprise":{"title":"Enterprise","description":"Anpassade kreditvolymer, säkerhetsgranskning, fakturering, en dedikerad Customer Success Manager och skräddarsydd onboarding. För byråer och större team med särskilda behov.","cta":"Kontakta säljteamet"},"comparison":{"title":"Jämför alla funktioner","description":"Alla abonnemang sida vid sida. Klicka på en sektionsrubrik för att minimera den.","groups":[{"title":"Abonnemang","rows":[{"label":"Kostnadsfria krediter ingår"},{"label":"Teammedlemmar","values":["1","Obegränsat ∞","Obegränsat ∞","Obegränsat ∞"]},{"label":"Prioriterad support"},{"label":"Onboarding"},{"label":"Överföring av oanvända krediter"},{"label":"Dedikerad Customer Success Manager"}]},{"title":"Verktyg för leadgenerering","rows":[{"label":"Waterfall Email Finder","description":"Hitta verifierade B2B-emails utifrån ett namn och företag eller en LinkedIn-URL. Kombinerar över 20 leverantörer till en kostnad av 25 krediter per email, och du betalar bara för hittade emails."},{"label":"Waterfall Phone Finder","description":"Hitta mobilnummer från en URL till en LinkedIn-profil. Betala endast när ett nummer hittas."},{"label":"LinkedIn Profile Scraper","description":"Hämta upp till 40 datapunkter (roll, företag, erfarenhet och utbildning) från valfri profil-URL på LinkedIn eller Sales Navigator, utan att riskera ditt konto."},{"label":"Företagsberikning","description":"Berika ett företag utifrån dess domän eller LinkedIn-sida med bransch, storlek, plats, grundandeår med mera – upp till 9 datapunkter."},{"label":"Company Domain Finder","description":"Hitta webbplatsen och domänen för ett företagsnamn, med en konfidensbedömning."},{"label":"Scraping av jobbportaler","description":"Scrapa jobbannonser från över 19 jobbportaler, inklusive LinkedIn, Indeed och Glassdoor. Filtrera efter titel, plats, företag med mera."},{"label":"Sales Nav Scraper (ditt konto)","description":"Scrapa leads eller företag från en sökning på LinkedIn eller Sales Navigator med ditt eget LinkedIn-konto. 10 krediter per lead."},{"label":"Sales Nav Scraper (utan konto)","description":"Scrapa leads eller företag från en sökning i Sales Navigator utan att ansluta ditt eget konto. 20 krediter per lead."}]},{"title":"AI och automatisering","rows":[{"label":"ChatGPT-/Claude-integration (din nyckel)","description":"Kör valfri LLM-prompt på dina rader med din egen API-nyckel. Inga Datablist-krediter används."},{"label":"AI Research Agent","description":"Ge agenten valfri uppgift eller fråga så söker den på Google och besöker webbplatser för att lösa uppgiften."},{"label":"Automatisering","description":"Kör berikningar och importer automatiskt enligt ett schema eller en trigger."},{"label":"REST API + Call HTTP","description":"Läs och skriv data programmatiskt och anropa valfri extern endpoint från ett workflow."},{"label":"Integrationer (Lemlist, Pipedrive med flera)","description":"Skicka leads direkt till tredjepartskällor."},{"label":"Egen nyckel för AI Agent","description":"Använd din egen API-nyckel för modellen med AI Agent för att sänka kostnaderna."}]},{"title":"Kalkylbladsfunktioner","rows":[{"label":"Lagring","values":["Endast i webbläsaren","Molnsynkronisering","Molnsynkronisering","Molnsynkronisering"]},{"label":"Antal tabeller","values":["∞","∞","∞","∞"]},{"label":"Importgräns/tabell","values":["2 miljoner poster","2 miljoner poster","2 miljoner poster","2 miljoner poster"]},{"label":"Synkroniserade rader/tabell","values":["-","100 000","100 000","200 000 (snart)"]},{"label":"Versionshistorik (snart)","values":["Ingen","7 dagar","14 dagar","30 dagar"]},{"label":"AI-redigering","values":["3 kostnadsfria redigeringar","Obegränsat","Obegränsat","Obegränsat"]}]},{"title":"Funktioner för datarensning","rows":[{"label":"Deduplicering i en fil","description":"Hitta, slå samman eller ta bort dubbletter i en samling med konfigurerbara matchningsregler."},{"label":"Sök och ersätt","description":"Sök efter och ersätt värden i en egenskap eller i hela samlingen."},{"label":"Massredigering","description":"Redigera många objekt samtidigt: ange eller ersätt värden i bulk."},{"label":"Extrahera data från text","description":"Hämta emails, URL:er och telefonnummer från valfritt textfält."},{"label":"Emailvalidering","description":"Kontrollera syntax, domän och MX-poster för email direkt. En kostnadsfri och omedelbar kontroll."},{"label":"Papperskorg och dataåterställning","description":"Återställ objekt som av misstag har tagits bort från papperskorgen."},{"label":"Deduplicering i flera filer","description":"Deduplicera flera samlingar eller importer samtidigt."},{"label":"Emailverifiering","description":"Kontrollera full leveransbarhet (syntax, domän, inkorg och catch-all) hos flera leverantörer."},{"label":"Rensning av företagsnamn","description":"Standardisera företagsnamn: ta bort LLC och Inc samt korrigera användningen av stora och små bokstäver."},{"label":"Rensning av telefonnummer","description":"Standardisera telefonnummerformat och lägg till landskoder som saknas."},{"label":"Namnparser","description":"Dela upp ett fullständigt namn i för- och efternamn samt identifiera kön och titel."},{"label":"Identifiera språk","description":"Identifiera språket i valfri text med ett konfidensvärde."}]}]},"credits":{"title":"Så fungerar krediter","description":"Att köra workflows, rensa data, extrahera text och använda egna API-nycklar är alltid kostnadsfritt i alla abonnemang. Krediter används för berikningar som hämtar information från betalda datakällor, exempelvis email finders, telefonnummersökning och LinkedIn-scraping. Gratisversionen inkluderar 500 krediter per år. Betalda abonnemang inkluderar krediter för din faktureringsperiod, och du kan köpa fler när som helst.","cards":[{"title":"Ingår kostnadsfritt i alla abonnemang","description":"Gratisversionen inkluderar 500 krediter per år. Antalet krediter i betalda abonnemang beror på faktureringsperioden. Du använder bara krediter för berikningar som hämtar information från betalda datakällor."},{"title":"Återkommande kreditpaket","description":"Behöver du fler varje månad? Lägg till ett återkommande paket för bästa pris per kredit. Ju större paket, desto lägre pris per kredit."},{"title":"Engångspåfyllningar","description":"Köp en engångspåfyllning vid tillfälliga användningstoppar. Påfyllningar löper aldrig ut och du behåller dem även om du avslutar abonnemanget."}],"note":"Rensning, deduplicering och alla verktyg som du kör med din egen API-nyckel använder aldrig krediter.","costsTitle":"Det här får du för krediterna","costsDescription":"Några av de populäraste kreditbaserade verktygen och vad de kostar.","costs":[{"name":"Company Domain Finder","description":"<accent>1 kredit</accent> per sökning • Snabb domänmatchning i bulk utifrån företagsnamn"},{"name":"AI Research Agent","description":"<accent>Användningsbaserat</accent> • Kostnadsfritt och obegränsat när du använder din egen API-nyckel"},{"name":"Sales Navigator Scraper","description":"<accent>10–20 krediter</accent> per exporterad lead • Verifierad email- och företagsinformation"},{"name":"Waterfall Email Finder","description":"<accent>25 krediter</accent> per hittad email • Du betalar bara vid träff (0 krediter om ingen email hittas)"},{"name":"LinkedIn Profile Scraper","description":"<accent>25 krediter</accent> per profil • Scrapar erfarenhet, jobbhistorik och kontaktuppgifter"},{"name":"Scraping av jobbportaler","description":"<accent>10 krediter</accent> per annons • Extraherar jobbtitel, företag, lön och plats"}]},"topup":{"title":"Välj storlek på en engångspåfyllning","description":"Endast fasta paket, inga anpassade belopp, så priset är alltid exakt det som visas.","question":"Hur många krediter behöver du?","credits":"krediter","summary":"Sammanfattning","oneTime":"engångsköp","rate":"{rate}/1 000 krediter","delivered":"{label} ({amount})","offRate":"{discount}% rabatt på grundpriset","baseRate":"Grundpris ({rate}/1 000)","labels":["Levererade krediter","Tillämpad nivå","Löper ut","Faktureras i"],"never":"Aldrig","cta":"Köp nu →","tiles":[{"title":"Betala efter behov","description":"Ett betalt abonnemang krävs. Köp bara krediter när du behöver dem."},{"title":"Kombineras med abonnemanget","description":"Läggs ovanpå den månatliga kvoten i ditt abonnemang."},{"title":"Omedelbar leverans","description":"Krediterna läggs till så snart betalningen har bekräftats."}],"tierLabels":["20k","40k","60k","80k","100k","120k","140k","200k","300k","500k","750k","1M","1.25M","1.5M"]},"faq":{"title":"Vanliga frågor","items":[{"question":"Vad är krediter och vad används de till?","answer":"Krediter är Datablists interna valuta. Berikningar som anropar en betald datakälla (email- och telefonnummersökning, scrapers, LinkedIn, företagsdata och översättningar) förbrukar krediter. Rensning, deduplicering och verktyg som använder din egen API-nyckel gör det inte."},{"question":"Löper mina krediter ut eller förs de över?","answer":"Abonnemangskrediter förnyas vid varje faktureringsperiod och förs inte över. Krediter från påfyllningar löper aldrig ut."},{"question":"Vad är skillnaden mellan ett återkommande tillägg och en engångspåfyllning?","answer":"Ett återkommande tillägg fyller på dina krediter varje månad till ett bättre pris per kredit och passar bäst vid jämn användning. En engångspåfyllning är ett enstaka köp för tillfälliga användningstoppar och löper aldrig ut."},{"question":"Kan jag använda mina egna API-nycklar?","answer":"Ja. LLM-verktyg (ChatGPT, Claude, Gemini med flera) körs kostnadsfritt med din egen nyckel i alla abonnemang. Apollo, PeopleDataLabs, Moz och Bing kan använda din egen nyckel från Starter och uppåt."},{"question":"Tar ni betalt för dataåtgärder?","answer":"Nej. Dataåtgärder som deduplicering och rensning är kostnadsfria. Du betalar datakrediter för berikningar, utan någon separat åtgärdskredit ovanpå."},{"question":"Vilka berikningar debiteras bara när de hittar ett resultat?","answer":"De flesta sökverktyg (email, telefonnummer och privata emails) debiteras endast vid träff, så du betalar aldrig för en miss. Några berikningar debiteras per försök. Se hela specifikationen i hjälpcentret."},{"question":"Hur får jag de 500 kostnadsfria krediterna?","answer":"Registrera dig för Datablist med en emailadress för företag för att få 500 kostnadsfria krediter."}]},"accessibility":{"included":"Ingår","notIncluded":"Ingår inte"}}},"Logos":{"SUBTITLE":"Du är i gott sällskap"},"LocaleSwitcher":{"label":"Byt språk"},"ThemeSwitcher":{"LABEL":"Tema","LIGHT":"Ljust","DARK":"Mörkt","AUTO":"Automatiskt"},"TalkToUs":{"TITLE":"Vad skulle du göra om vi gav dig 3–5 extra timmar varje vecka?","SUBTITLE":"Prova Datablist och se hur enkelt workflow-automatisering kan vara. 18 000+ användare upplever det redan!","CTA":"Prata med oss","START_FOR_FREE":"Kom igång 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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