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already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data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":"Virksomhedsnavn til domæne – Find virksomhedsdomæner i bulk | Datablist","description":"Konvertér en liste med virksomhedsnavne til verificerede domæner i bulk. Datablist tjekker først virksomhedsdatabaser, bruger derefter en live Google-søgning og giver hvert match en score."},"breadcrumb":"Virksomhedsnavn til domæne","tabs":["Oversigt","Sådan bruger du værktøjet"],"hero":{"title":"Virksomhedsnavn til domæne","description":"Konvertér en liste med virksomhedsnavne til de tilhørende domæner. Først kuraterede databaser og derefter en live Google-søgning efter de navne, de ikke finder.","trust":["Præcise domæner","Overholder GDPR","38.000+ brugere"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Find 500 domæner gratis","guide":"Se hele guiden","note":"Intet betalingskort nødvendigt"},"glance":{"eyebrow":"Oversigt","title":"Kort fortalt","description":"Domænet er det første felt, som alle andre enrichments kræver. Datablist matcher dine virksomhedsnavne med kuraterede virksomhedsdatabaser og bruger derefter en live Google-søgning til dem, databaserne ikke finder.","cards":[{"title":"Det leverer du","items":["Virksomhedsnavn: f.eks. Datablist, ét pr. række","Valgfrit: Målland: Indsnævrer matchet og kan angives pr. liste eller pr. række","Intet andet: Intet domæne, ingen URL og ingen LinkedIn-side"],"links":["Se hele inputreferencen"]},{"title":"Det får du","items":["Virksomhedsdomæne og fuld URL: f.eks. datablist.com og https://www.datablist.com","Domænesikkerhed: Høj, Mellem, Lav eller Meget lav på hver række","Status: success, not_found eller empty_name"],"links":["Se eksempel på output","Se hele outputreferencen"]},{"title":"Sådan afregnes det","items":["1 credit pr. databasematch: Den hurtige metode, som bruges til de fleste navne","2,5 credits pr. Google-søgning: Opkræves, uanset om der findes et domæne","Google-resultater caches i 48 timer: Nye kørsler efter en ændring af indstillingerne koster 1 credit"],"links":["Sådan fungerer credits"]}]},"sample":{"eyebrow":"Eksempeldata","title":"Sådan ser dine resultater ud","description":"Input: Virksomhedsnavn og målland. Output: Virksomhedsdomæne, domænesikkerhed og status.","groups":["Dine data","Tilføjet af Virksomhedsnavn til domæne"],"headers":["Virksomhedsnavn","Målland","Virksomhedsdomæne","Domænesikkerhed","Status"],"caption":"Eksempeldata. Navne og virksomheder er fiktive, og dine resultater kan variere.","footer":""},"calculator":{"eyebrow":"Beregner","title":"Hvad kommer det til at koste?","description":"Fortæl os, hvor mange virksomhedsnavne du skal finde domæner til, så viser vi dig den billigste løsning.","unitsLabel":"Virksomhedsnavne, der skal slås op","workflowLabel":"Hvilket workflow?","workflows":["Kun virksomhedsdatasæt (1 credit pr. match)","Datasæt og derefter Google fallback (2,5 credits pr. Google-søgning)"],"matchRateLabel":"Andel af navnene, som du forventer, at databasen matcher","needsLabel":"Har du også brug for at:","needs":["Køre dette via API/MCP","Opsætte automatiseret enrichment"],"resultLabels":["Anbefalet abonnement","Ekstra credits","Credits, du vil have"],"totalLabel":"I alt denne måned","cta":"Prøv gratis","note":"Intet betalingskort nødvendigt","pricingLink":"Se priser","creditsTitle":"Sådan fungerer credits","creditsBody":"1.000 credits = 1 $, så hver credit koster en tiendedel cent. Et databasematch koster 1 credit og opkræves kun, når der findes et domæne. En Google fallback-søgning koster 2,5 credits og opkræves uanset resultatet. Derfor er fordelingen mellem de to afgørende for din regning. Matchraten ovenfor er dit estimat og ikke et tal fra Datablist: Kør først en stikprøve med nogle hundrede navne, og angiv raten ud fra de faktiske resultater. Google-resultater caches i 48 timer, så det koster 1 credit pr. række i stedet for 2,5 at ændre en indstilling og køre igen inden for dette tidsrum. Credits i abonnementet fornyes hver måned og nulstilles, hvis de ikke bruges. 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Uensartede navne er helt i orden. Hvis din liste dækker flere lande, kan du tilføje en landekolonne, som Datablist bruger til at indsnævre hvert match."},{"label":"Trin 2","title":"Først databaser, derefter Google","body":"Datablist matcher dine navne med kuraterede virksomhedsdatasæt. Det er hurtigt og koster 1 credit pr. match. Navne, som datasættene ikke finder, sendes videre til en live Google-søgning, der springer kataloger og sociale netværk over."},{"label":"Trin 3","title":"Hvert match får et sikkerhedsniveau","body":"Hver række returneres med sikkerhedsniveauet Høj, Mellem, Lav eller Meget lav. Acceptér automatisk dem med høj sikkerhed, gennemgå dem i midten, og send resten til AI Agent med ekstra kontekst."}]},"customers":{"title":"Betroet af hurtigt voksende startups og Fortune 500-teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop med manuelt arbejde, som Datablist kan udføre på få sekunder","body":"Prøv Datablist, og se, hvor nemt det er at automatisere workflows. Mere end 38.000 brugere oplever allerede fordelene!","label":"Tal med os"},"templates":{"eyebrow":"Workflows","title":"Skabeloner","description":"Kom hurtigt i gang med færdige workflows baseret på virksomhedsdomæner.","cards":[{"title":"Avanceret website finder","description":"Find domæner til de navne, som hverken datasættet eller Google finder.","imageAlt":""},{"title":"Virksomheds-enrichment","description":"Gå fra et virksomhedsnavn til komplette firmografiske data.","imageAlt":""},{"title":"Virksomhedsnavn til LinkedIn","description":"Find virksomhedernes LinkedIn-sider ud fra deres navne.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Relaterede vejledninger","description":"Lær de nyeste workflows med detaljerede trin-for-trin-guides.","cards":[{"title":"Virksomhedsnavn til domæne: 3 metoder til bulk-søgning","imageAlt":"Virksomhedsnavn til domæne: 3 metoder til bulk-søgning"},{"title":"Sådan beriger du virksomhedsdata ud fra virksomhedsnavne","imageAlt":"Sådan beriger du virksomhedsdata ud fra virksomhedsnavne"},{"title":"Et alternativ til Clearbit til at finde virksomhedsdomæner","imageAlt":"Et alternativ til Clearbit til at finde virksomhedsdomæner"}]},"faq":{"eyebrow":"FAQ","title":"Ofte stillede spørgsmål","description":"Svar på almindelige spørgsmål om matchrater, afregning og håndtering af tvetydige virksomhedsnavne.","items":[{"question":"Hvad koster det at finde domæner til 500 virksomhedsnavne?","answer":"Det afhænger af, hvilken metode der bruges til hvert navn. Et databasematch koster 1 credit og opkræves kun, når der findes et domæne, så 500 vellykkede match koster cirka 500 credits. En Google fallback-søgning koster 2,5 credits og opkræves, uanset om den finder noget. Brug beregneren ovenfor til at modellere din egen fordeling."},{"question":"Hvad fortæller scoren for domænesikkerhed mig helt konkret?","answer":"Hvor sikker Datablist er på, at domænet tilhører det pågældende navn. Resultatet angives som Høj, Mellem, Lav eller Meget lav. Formålet er prioritering i stor skala: Acceptér automatisk Høj, gennemgå Mellem, før du bruger resultatet senere i dit workflow, og send Lav og Meget lav til en mere avanceret metode i stedet for at sende emails til dem."},{"question":"Hvordan håndterer I tvetydige navne som \"Dove\" eller \"United\"?","answer":"Et navn uden kontekst er reelt tvetydigt, og ingen søgning kan afklare det alene. To ting kan hjælpe. Angiv et målland pr. liste eller pr. række for at reducere antallet af kandidater. Kør derefter AI Agent på de resterende navne med ekstra kontekst som by, branche eller beskrivelse, så den kan vurdere, hvilket match der passer."},{"question":"Hvad sker der, når en søgning ikke giver noget resultat?","answer":"Outputtet Status returneres som not_found eller som empty_name, hvis inputfeltet var tomt. Filtrér visningen til disse rækker, og prøv igen: Tilføj et land, aktivér Google fallback, hvis du kun brugte databaser, eller flyt dem til AI Agent med mere kontekst."},{"question":"Hvorfor får jeg katalogsider i stedet for virksomhedernes websites?","answer":"Når Datablist vurderer Google-resultater, springer værktøjet som standard URL'er, der ikke ligger på roddomænet, og kendte kataloger som Crunchbase samt sociale netværk som LinkedIn og Facebook over. Hvis et branchespecifikt katalog stadig slipper igennem, kan du føje det til Spring følgende domæner over, så det udelukkes sammen med standardlisten."},{"question":"Kan jeg angive et forskelligt målland for hver række?","answer":"Ja. Aktivér Angiv målland pr. element, så der vises et inputfelt til Målland, som du kan knytte til en kolonne. Accepterede formater er ISO 3166-koder (FR, USA) eller det fulde engelske navn (Portugal). Rækker med et manglende eller ugyldigt land bruger den globale indstilling for Målland."},{"question":"Bliver jeg opkrævet to gange, hvis jeg kører enrichment igen?","answer":"Ikke for Google. Disse resultater caches i 48 timer, så hvis du ændrer en indstilling og kører igen inden for dette tidsrum, koster rækken 1 credit i stedet for 2,5. For at undgå at behandle rækker, du allerede har fundet domæner til, kan du filtrere visningen til dem, hvor domænet er tomt, og køre på alle elementer i visningen."},{"question":"Hvad skal jeg gøre, når jeg har domænerne?","answer":"Domænet åbner for resten af din stack. Virksomheds-enrichment tilføjer branche, størrelse, lokation og stiftelsesår. Waterfall Email Finder bruger et navn sammen med domænet og returnerer en verificeret emailadresse. Teknologi-enrichment aflæser virksomhedens stack fra websitet."}]},"related":{"eyebrow":"Integrationer","title":"Relaterede enrichments","description":"Kombinér Company Domain Finder med supplerende dataværktøjer i Datablist.","cards":[{"title":"Virksomheds-enrichment","description":"Konvertér et domæne til branche, størrelse, lokation og stiftelsesår.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Brug domænet sammen med et navn til at finde en verificeret emailadresse.","imageAlt":""},{"title":"Oprydning af virksomhedsnavne","description":"Fjern LLC og Inc, og ret brugen af store og små bogstaver, før du kører søgningen.","imageAlt":""}],"action":"Se alle enrichments"},"free":{"eyebrow":"Gratis værktøjer","title":"Prøv det gratis først","description":"Gratis versioner af relaterede værktøjer, som du kan afprøve på nogle få rækker, før du skalerer op.","cards":[{"title":"Gratis Domain Finder","description":"Indsæt virksomhedsnavne, og find deres websites. Gratis og uden betalingskort.","imageAlt":""},{"title":"Gratis oprydning af virksomhedsnavne","description":"Standardisér virksomhedsnavne: Fjern juridiske endelser, ret store og små bogstaver, og markér dubletter.","imageAlt":""},{"title":"Gratis Email Finder","description":"Find en arbejds-email ud fra et navn og en virksomhed. Gratis at prøve.","imageAlt":""}],"action":"Se alle gratis værktøjer"},"guide":{"hero":{"title":"Sådan bruger du Datablists Virksomhedsnavn til domæne","description":"Kør Datablists Virksomhedsnavn til domæne på din egen liste i 6 trin – helt uden kode. Efter guiden finder du en oversigt over indstillingerne og svar på almindelige spørgsmål.","trust":["Nem at bruge","Ingen teknisk konfiguration","Helt no-code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Gå til et afsnit","items":["Trin-for-trin-guide","Oversigt over indstillinger","Relaterede artikler","Ofte stillede spørgsmål"]},"title":"Trin-for-trin-guide","reference":{"title":"Oversigt over indstillinger","description":"En oversigt over alle indstillinger samt inputs og outputs. Trin-for-trin-guiden ovenfor dækker alt, hvad du skal bruge for at komme i gang.","groups":[{"title":"Indstillinger","rows":[["Workflow","Valg","Brug kun virksomhedsdatasættet, eller lad Datablist foretage en Google-søgning efter de navne, som datasættet ikke finder"],["Målland","Tekst","Indsnævr søgningen til ét land. Filtrerer datasættet og angiver landet for Google"],["Angiv målland pr. element","Afkrydsningsfelt","Tilføjer et inputfelt til Målland, så du kan angive landet pr. række"],["Acceptér websites, der ikke ligger på roddomænet","Afkrydsningsfelt","Tillad resultater, der ikke er et roddomæne, f.eks. en virksomhedsside på en hostingplatform"],["Spring følgende domæner over","Lang tekst","Kommaseparerede domæner, der skal udelukkes ud over den indbyggede liste over kataloger og sociale netværk"],["Behandl kun cachede Google-resultater","Afkrydsningsfelt","Genbrug kun gemte Google-resultater, foretag ingen nye live søgninger, og spring resultater fra datasættet over"]]},{"title":"Inputs","rows":[["Virksomhedsnavn","Tekst","Navnet på den virksomhed, der skal slås op, f.eks. google"],["Målland","Tekst","Vises kun, når Angiv målland pr. element er aktiveret. ISO 3166-kode eller engelsk landenavn"]]},{"title":"Outputs","rows":[["Virksomhedsdomæne","Tekst","Virksomhedens domæne, f.eks. google.com, når der findes et"],["Virksomhedens fulde URL","URL","Virksomhedens fulde URL, f.eks. https://www.google.com, når der findes en"],["Domænesikkerhed","Tekst","Hvor stærkt matchet er: Høj, Mellem, Lav eller Meget lav"],["Status","Tekst","Enten success, not_found eller empty_name"]]}]},"cta":{"title":"Stop med manuelt arbejde, som Datablist kan udføre på få sekunder","body":"Prøv Datablist, og se, hvor nemt det er at automatisere workflows. Mere end 38.000 brugere oplever allerede fordelene!","label":"Tal med os"},"articles":{"title":"Relaterede artikler","cards":[{"title":"Virksomhedsnavn til domæne: 3 metoder til bulk-søgning","imageAlt":"Virksomhedsnavn til domæne: 3 metoder til bulk-søgning"},{"title":"Find virksomhedswebsites ud fra virksomhedsnavne","imageAlt":"Find virksomhedswebsites ud fra virksomhedsnavne"},{"title":"Sådan beriger du virksomhedsdata ud fra virksomhedsnavne","imageAlt":"Sådan beriger du virksomhedsdata ud fra virksomhedsnavne"}]},"steps":[{"title":"Trin 1: Opret en konto, og upload dine data","paragraphs":["Opret først en konto på <a href=\"signup\">Datablist.com</a>","Upload derefter din CSV- eller Excel-fil med listen over virksomhedsnavne"],"imageAlts":["Virksomhedsnavn til domæne – Opret en konto","Virksomhedsnavn til domæne – Upload din virksomhedsliste"]},{"title":"Trin 2: Åbn enrichment-værktøjet Find virksomhedsdomæner","paragraphs":["1. Klik på Enrich i topmenuen","2. Åbn fanen Companies","3. Vælg Find Company Domain from Company Name."],"imageAlts":["Virksomhedsnavn til domæne – Enrichment-bibliotek"]},{"title":"Trin 3: Konfigurér workflowet","paragraphs":["Vælg \"Use only companies dataset\" under Workflow. Det er den billigste metode og koster 1 credit pr. fundet domæne.","Angiv Target Country, eller markér Define Target Country By Item, hvis hver række har sin egen landekolonne.","Vælg i stedet Google-workflowet for også at dække de navne, som datasættet ikke finder. Datablist foretager derefter en live søgning efter de resterende navne til 2,5 credits pr. søgning, uanset om der findes et domæne."],"imageAlts":["Virksomhedsnavn til domæne – Indstillinger for database-workflow","Virksomhedsnavn til domæne – Indstilling for Google-workflow"]},{"title":"Trin 4: Tilknyt kolonnen med virksomhedsnavne","paragraphs":["1. Angiv kolonnen med dine virksomhedsnavne som Input Property","2. Klik på Continue to outputs configuration"],"imageAlts":["Virksomhedsnavn til domæne – Tilknyt inputkolonnen"]},{"title":"Trin 5: Vælg dine domæneoutputs","paragraphs":["1. Brug ikonerne ⊕ eller Add all 3 outputs to collection til at føje outputtene til din samling.","2. Klik på Instant Run","Behold Domænesikkerhed og Status. De gør det muligt at prioritere resultaterne bagefter i stedet for at stole lige meget på alle rækker."],"imageAlts":["Virksomhedsnavn til domæne – Konfiguration af outputs"]},{"title":"Trin 6: Kør enrichment i bulk","paragraphs":["Konfigurér til sidst dine kørselsindstillinger ved at klikke på vinklen i højre side af knappen. Derefter kan du vælge mellem følgende muligheder:","• Kør på de første 10 elementer: Velegnet til at kontrollere resultaterne, før du fortsætter","• Kør på de første 100 elementer: Nyttigt, hvis du vil validere større stikprøver","• Kør på de første {X} elementer: Giver dig mulighed for at vælge, hvor mange elementer du vil behandle","• Kør på alle elementer i visningen: Behandl hele din liste (eller visningen, hvis du har aktiveret filtre)","Når du har valgt den ønskede mulighed, skal du klikke på Run on X items","På få minutter har du en kolonne med verificerede domæner ved siden af dine virksomhedsnavne, klar til næste enrichment.","Sortér eller filtrér efter Domænesikkerhed, og send derefter rækkerne med Lav, Meget lav og not_found til AI Agent med ekstra kontekst som by eller branche."],"imageAlts":["Virksomhedsnavn til domæne – Kørselsindstillinger","Virksomhedsnavn til domæne – Kørsel med Website Finder","Virksomhedsnavn til domæne – Databaseresultater","Virksomhedsnavn til domæne – Resultater fra AI Agent"]}],"faq":{"title":"Ofte stillede spørgsmål","items":[{"question":"Hvad er forskellen på de to workflowmuligheder?","answer":"Workflowet med kun virksomhedsdatasættet matcher dine navne med kuraterede navn-til-domæne-datasæt. Det er den hurtige metode, koster 1 credit og opkræves kun ved et match. Den anden mulighed tilføjer en live Google-søgning efter de navne, som datasættet ikke kunne matche, til 2,5 credits pr. søgning, uanset om der findes et domæne."},{"question":"Hvilket domæne får jeg, når flere domæner matcher et navn?","answer":"Det med mest trafik. Hvis det ikke er den ønskede metode, er afgrænsning efter Målland det mest effektive værktøj, da det filtrerer datasættet, før der overhovedet skal vælges mellem flere match."},{"question":"Hvad gør Acceptér websites, der ikke ligger på roddomænet?","answer":"Som standard afviser Datablist Google-resultater, der ikke ligger på et roddomæne. Det holder katalogsider som directory.com/mycompany ude af din liste. Ulempen er, at du også går glip af reelle virksomheder, hvis website ligger på en platform, f.eks. hostingplatform.com/mycompanypage. Aktivér indstillingen, når din liste indeholder mange små virksomheder."},{"question":"Hvordan påvirker Googles cache på 48 timer mine credits?","answer":"Datablist cacher Google-søgeresultater i 48 timer. Hvis du ændrer Acceptér websites, der ikke ligger på roddomænet eller Spring følgende domæner over og kører igen inden for dette tidsrum, hentes resultaterne fra cachen og koster 1 credit pr. række i stedet for 2,5. Det gør det billigt at finjustere disse to indstillinger."},{"question":"Hvad bruges Behandl kun cachede Google-resultater til?","answer":"Indstillingen begrænser kørslen til Google-resultater, du allerede har betalt for, og springer resultater fra datasættet helt over. Brug den til at give en tidligere kørsel nye scorer med andre indstillinger uden at betale for nye live søgninger."},{"question":"Hvilke landeformater accepterer Målland?","answer":"ISO 3166 Alpha-2-koder som FR, Alpha-3-koder som USA eller det fulde engelske landenavn som Portugal. Hvis en rækkes land mangler eller er ugyldigt, bruger Datablist den globale indstilling for Målland."},{"question":"Hvordan kører jeg kun de rækker igen, der mislykkedes?","answer":"Filtrér din visning efter Status eller efter Domænesikkerhed for de svage match, og vælg derefter Kør på alle elementer i visningen. Kun rækkerne i den filtrerede visning behandles, så du ikke betaler igen for rækker, du allerede har fundet domæner til."},{"question":"Hvornår bør jeg bruge AI Agent i stedet?","answer":"Når et navn er tvetydigt, og du har kontekst, som den almindelige søgning ikke kan bruge. Både datasættet og Google arbejder kun ud fra navnet. AI Agent kan modtage en by, branche eller beskrivelse sammen med navnet, undersøge virksomheden og returnere et domæne med en sikkerhedsscore og en forklaring. Gem den til de resterende navne, da den afregnes efter forbrug og koster mere pr. række."}]}},"corner":{"title":"Prøv gratis","body":"Konvertér dine virksomhedsnavne til verificerede domæner i bulk. Mere end 38.000 brugere er allerede på Datablist.","label":"Prøv gratis","close":"Luk CTA"}},"EnrichmentWaterfallEmailFinder":{"metadata":{"title":"Waterfall Email Finder - Find Verified Emails in Bulk | Datablist","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once with Datablist's Waterfall Email Finder."},"breadcrumb":"Waterfall Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Email Finder","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once.","trust":["Cheapest Waterfall on the Market","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Find 20 emails free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Maximize email find rates by querying over 20 top data providers in sequential order until a verified address is found.","cards":[{"title":"What you give","items":["First Name & Last Name: Or combined full name property","Company Name or Domain: e.g. acme.com or Acme Corp","Or LinkedIn Profile URL: Direct profile link method"],"links":["See full input reference"]},{"title":"What you get","items":["Work Email Address: The address found for the contact","Email Deliverability Status: verified or unverified for a found address","MX Provider Detected: E.g. Google Workspace, Microsoft 365"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Found Email: Deducted when an email is found","0 Credits if Not Found: Zero wasted spend on misses","Custom API Keys Supported: Bring your own provider accounts"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: First Name, Last Name and Company Domain. Output: Email, Email Status and MX Provider.","groups":["Your data","Added by Waterfall Email Finder"],"headers":["First Name","Last Name","Company Domain","Email","Email Status","MX Provider"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many verified emails you need and we'll show you the cheapest way to get them.","unitsLabel":"Verified emails needed","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Use your own API keys for the Email Finder","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You're only charged 25 credits when an email is actually verified and found, never for a miss. Plan credits renew every month and reset if unused, so they're sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, making them the better fit for one-off spikes in volume.","emailHint":"= {credits} credits at {rate} credits per found email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access, custom API keys, and automation are Growth-only.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist cascades your contact through multiple elite providers until a deliverable email is confirmed.","steps":[{"label":"Step 1","title":"Upload your list","body":"Import any CSV or Excel file with your contacts. All you need is a first name, last name, and company name or domain. Or a LinkedIn Profile URL if you have it."},{"label":"Step 2","title":"The waterfall runs across 20+ providers","body":"Instead of relying on a single email finder, Datablist queries multiple providers in sequence: Icypeas, Enrow, Findymail, Prospeo, Wiza, and more. If one provider does not find a result, the next one tries. This cascading approach increases your hit rate by up to 30% compared to using a single tool."},{"label":"Step 3","title":"Every email verified","body":"Each found address has Email Status information: verified or unverified. Review unverified addresses before sending. No-result and input errors appear in the run-status column. You only pay for emails that are actually found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Business Owner Finder","description":"Pull owner names and titles off company websites.","imageAlt":""},{"title":"Email First Line","description":"Draft a personalised opener for every contact.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Email Finder with complementary data tools in Datablist.","cards":[{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Find direct mobile phone numbers for B2B prospects globally.","imageAlt":""},{"title":"Company Enrichment","description":"Turn a domain into industry, size, location, and founded year.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about email finding rates, billing, and provider waterfall rules."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Email Finder","description":"Run Datablist's Waterfall Email Finder on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Search Method","Select","Find by name + company (default), or by LinkedIn Profile URL"],["Use Full Name","Checkbox","Use a single Full Name input instead of First Name and Last Name"],["Custom Waterfall","Checkbox","Use your own API keys and provider sequence with By Name and Company"],["Waterfall Sequence","Sequence","Define the order of providers and configure API keys for each one"]]},{"title":"Inputs","rows":[["First Name","Text","First input property for the name + company search method"],["Last Name","Text","Second input property for the name + company search method"],["Full Name","Text","Replaces First Name and Last Name when Use Full Name is enabled"],["Company Name or Domain","Text","Third input property for the name + company search method"],["LinkedIn Profile URL","Text","Standard LinkedIn profile URL. Required for LinkedIn mode; optional for name + company. Sales Navigator URLs are unsupported."]]},{"title":"Outputs","rows":[["Email","Email","The work email address found"],["Email Status","Text","Deliverability information for a found email: verified or unverified"],["MX Provider","Text","The contact's email provider, e.g. Google or Microsoft"],["Provider","Text","Available with Custom Waterfall. The email-finding provider that returned the result"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]}},"corner":{"title":"Try it for Free","body":"Find verified emails of all your contacts in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentSmartScraper":{"metadata":{"title":"Smart Scraper - Scrape Webpage Text, Emails and Social Links in Bulk | Datablist","description":"Scrape website text, email addresses, phone numbers, LinkedIn and Instagram links from a list of URLs. 0.10 credits per page, 0.50 with a proxy."},"breadcrumb":"Smart Scraper","tabs":["Overview","How to use"],"hero":{"title":"Smart Scraper","description":"Turn a list of webpage URLs into text, emails, phone numbers, and LinkedIn and Instagram links. A simple scrape costs 0.10 credits per page.","trust":["0.10 Credits per Page","Follows About and Contact Pages","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Smart Scraper reads each webpage on your list and returns its text, email addresses, phone numbers, LinkedIn links and Instagram links. It can follow About us and Contact pages, and use a proxy when a site blocks normal requests.","cards":[{"title":"What you give","items":["URL to Parse: A full URL with http or https, one per row","Follow Pages: Optional: follow the About us and Contact pages","Proxy and Rendering: Optional: proxy on errors, or render JavaScript pages"],"links":["See full input reference"]},{"title":"What you get","items":["Website Texts: Page text with headers and footers skipped, ready for ChatGPT","Emails and Phone Numbers: Comma-separated lists of what is found on the page","Social Links: LinkedIn profiles, LinkedIn company pages and Instagram profiles"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 simple pages cost 1,000 credits","0.50 Credits with a Proxy: With proxy fallback you pay it only for pages that need it","2 Credits with Render HTML: For pages rendered by JavaScript"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: URL to parse. Output: 6 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Smart Scraper"],"headers":["URL to parse","Website Texts","Email Addresses","Phone Numbers","LinkedIn Profiles","LinkedIn Company Pages","Instagram Profiles"],"caption":"Sample input and output.","scrollHint":"7 columns, scroll →","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping mode?","modes":["Basic scraping (0.1 credits per page)","With a proxy (0.5 credits per page)","With Render HTML (2 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Basic scraping costs 0.10 credits per page, proxy scraping 0.50 credits, and Render HTML 2 credits. A cached page costs 0.05 credits. This estimate counts each listed URL once at your selected rate. Additional About/Contact pages and automatic rendering can add to the total; cached results can reduce it. Plan credits follow your billing cycle. Top-up credits never expire and are used after subscription credits are exhausted.","scraperHint":"= {credits} credits at {rate} credits per page","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add webpage URLs and get clean data columns back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one webpage URL per row. Use the full URL with http or https, whether it is a company site, a directory or a landing page. Remove duplicate URLs first, so you do not scrape the same page twice."},{"label":"Step 2","title":"Choose what to extract","body":"Pick text, emails, phone numbers, LinkedIn links and Instagram profiles, and decide whether to follow the About us and Contact pages. Turn on the proxy for sites that block normal requests. Additional About/Contact pages have their own scrape costs."},{"label":"Step 3","title":"Get clean columns back","body":"Each URL returns its data as columns, with several results as comma-separated lists. Send the text to ChatGPT to classify or summarize each site, or filter the contact columns for outreach."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Video Links from Webpage","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Case Study Finder","description":"Find case studies on a company website.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Smart Scraper with complementary data tools in Datablist.","cards":[{"title":"Instagram Profile Scraper","description":"Scrape public Instagram profile data in bulk.","imageAlt":""},{"title":"Impressum Scraper","description":"Extract company details from German Impressum pages.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, About pages and text for ChatGPT."},"guide":{"hero":{"title":"How to use Datablist's Smart Scraper","description":"Run Datablist's Smart Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","Scrapes JS-Rendered Pages"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Follow \"About us\" page","Boolean","When enabled, Datablist scans the page to find the \"About us\" link. Then it scrapes the page to find relevant links, emails, texts, etc."],["Follow \"Contact\" page","Boolean","When enabled, Datablist scans the page to find the \"Contact\" link. Then it scrapes the page to find relevant links, emails, texts, etc."],["Use Proxy when needed","Boolean","Enable proxy requests when normal scraping fails or returns incomplete content. Proxy pages cost 0.50 credits; rendered pages cost 2 credits. Disabled by default. Access is not guaranteed."],["Proxy Policy","Select","Available when Use Proxy when needed is enabled. Use proxy on error (default) tries a direct request first. Always use proxy sends uncached page requests through the proxy from the start."],["Render HTML","Boolean","Available when Use Proxy when needed is enabled. Renders a page in a headless browser before scraping JavaScript content. Costs 2 credits per rendered page. Off by default."],["Show advanced settings","Boolean","Shows cache settings and ignore terms for Instagram and LinkedIn links."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."],["Instagram Ignore Terms","Text","Optional. Comma-separated list of terms to filter Instagram results. For example, with the ignore term: \"data\", the instagram https://www.instagram.com/DATAblist/ will be ignored."],["LinkedIn Ignore Terms","Text","Optional. Comma-separated list of terms to filter LinkedIn results. For example, with the ignore term: \"data\", https://www.linkedin.com/company/DATAblist/ will be ignored."]]},{"title":"Inputs","rows":[["URL to parse","-","Full URL with protocol (http/https)."]]},{"title":"Outputs","rows":[["Website Texts","LongText","Analyze the pages and extract relevant texts. Headers texts, footer texts, etc. are skipped. The text can be used to feed ChatGPT."],["Email Addresses","Text","Comma-separated list of email addresses when found."],["Phone Numbers","Text","Comma-separated list of phone numbers when found."],["LinkedIn Profiles","Text","Comma-separated list of LinkedIn profiles when found."],["LinkedIn Company Pages","Text","Comma-separated list of LinkedIn company pages when found."],["Instagram Profiles","Text","Comma-separated list of instagram profiles when found."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Scrape text, emails and social links from webpages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentWaterfallPhoneFinder":{"metadata":{"title":"Waterfall Phone Finder - Find Phone Numbers From LinkedIn URLs in Bulk | Datablist","description":"Find direct phone numbers from LinkedIn profile URLs in bulk. Datablist's Waterfall Phone Finder checks several data providers in sequence. 500 credits per phone number found."},"breadcrumb":"Waterfall Phone Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Phone Finder","description":"Turn LinkedIn profile URLs into direct phone numbers. Datablist checks several data providers in sequence, and you only pay for numbers it finds.","trust":["500 Credits per Number Found","LinkedIn URL to Phone Number","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall Phone Finder finds a phone number from a LinkedIn profile URL. It asks several data providers in sequence and stops at the first match, so you only pay for numbers it finds.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: One per row, in the format linkedin.com/in/name","Public Profile URLs Only: Sales Navigator profile URLs are not supported","Allowed Cache Age: Optional, 30 days by default"],"links":["See full input reference"]},{"title":"What you get","items":["Phone Number: The number found, in international format","Country: The two-letter country code of the number","Provider (Custom Waterfall): Optionally identify which provider found the number"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["500 Credits per New Number Found: 100 uncached numbers cost 50,000 credits","Billed per Number Found: No charge for no-number results or reused cached results","About $0.50 per Number: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: Phone Number and Country.","groups":["Your data","Added by Waterfall Phone Finder"],"headers":["LinkedIn Profile URL","Phone Number","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many phone numbers you want to find and we'll show you the cheapest way to get them.","unitsLabel":"Phone numbers to find","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall Phone Finder costs 500 credits per phone number found, and nothing when no number is found. The estimate assumes every profile returns a number, so your real cost is lower when some return no result. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","phoneHint":"= {credits} credits at {rate} credits per phone number found","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add LinkedIn URLs and Datablist checks several data providers for you.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with one LinkedIn profile URL per row. Use public profile URLs like linkedin.com/in/name. Sales Navigator URLs are not supported. Keep your original columns next to the results."},{"label":"Step 2","title":"The waterfall runs","body":"Datablist asks the first data provider for the number. If it comes back empty, the next provider tries, and so on until one finds a match. Several sources together cover more roles and regions than one, and the whole process runs in the background."},{"label":"Step 3","title":"Get numbers, pay for hits","body":"Each row gets a phone number in international format, its country code and a status. You only pay for the numbers found. A row with no result costs nothing, so a miss never hurts your budget."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Business Number Extractor","description":"Visit a company website and extract its phone number.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""},{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall Phone Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Finder from Name","description":"Find a prospect's LinkedIn profile URL from their name.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about coverage, billing and how the waterfall works."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Phone Finder","description":"Run Datablist's Waterfall Phone Finder on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Allowed Cache Age","Select","Reuse results up to 30 days old (default), 2 months or 6 months; choose No cache for a new lookup. Reused cached results are not charged again."],["Custom Waterfall","Checkbox","Use your own provider API keys and customize the provider order."],["Waterfall Sequence","Sequence","With Custom Waterfall, add Enrow, Prospeo, Findymail, Wiza or Full Enrich with an API key for each provider."]]},{"title":"Inputs","rows":[["LinkedIn Profile","Text","Person's Profile URL should be in the format of https://linkedin.com/in/xxx. This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Phone Number","Phone","Phone Number found in international format (with country prefix)."],["Country","Text","Alpha-2 country code for the phone Number. See Wikipedia page for more information on ISO 3166-1 alpha-2."],["Provider","Text","Available with Custom Waterfall. Identifies which phone-finding provider returned the result."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]}},"corner":{"title":"Try it for Free","body":"Find direct phone numbers from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentWaterfallPersonalEmailFinder":{"metadata":{"title":"Waterfall Personal Email Finder - Find Personal Emails in Bulk | Datablist","description":"Find personal email addresses from LinkedIn profile URLs in bulk. Datablist runs several email providers in sequence and charges 75 credits only for each email found."},"breadcrumb":"Waterfall Personal Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Personal Email Finder","description":"Turn a list of LinkedIn profile URLs into personal email addresses in bulk. Several providers run in sequence, and you only pay for the emails found.","trust":["75 Credits per Email Found","LinkedIn URL to Personal Email","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Waterfall Personal Email Finder takes a LinkedIn profile URL and searches several email providers one after the other. It stops at the first personal email it finds, so you pay only for results.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: Standard format, linkedin.com/in/name","One URL per row: Import a CSV or Excel file","No Sales Navigator URLs: Standard profile URLs only"],"links":["See full input reference"]},{"title":"What you get","items":["Email: A personal email address when found","Run Status: No result, invalid data, or missing data","Credits Used: Shown in the summary after every run"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["75 Credits per Email Found: Charged only when an email is returned","0 Credits if No Result: Empty rows cost nothing","About $0.075 per Email: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: Email.","groups":["Your data","Added by Waterfall Personal Email Finder"],"headers":["LinkedIn Profile URL","Email"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many personal emails you expect to find and we'll show you the cheapest way to pay for them.","unitsLabel":"Personal emails found","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You are charged 75 credits only when a personal email is found, never for an empty row. The estimate assumes every unit you enter is a found email, so a run with fewer finds costs less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","emailHint":"= {credits} credits at {rate} credits per found personal email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"One LinkedIn URL in, one personal email out, with several providers searching behind it.","steps":[{"label":"Step 1","title":"Upload your LinkedIn URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Use standard profile links such as linkedin.com/in/jane-doe. Sales Navigator links are not supported."},{"label":"Step 2","title":"Providers search in sequence","body":"Datablist asks the first provider for a personal email. If nothing comes back, the next provider tries, and the search continues until a match is confirmed or the sequence ends. One provider rarely covers everyone, so the sequence raises your chances."},{"label":"Step 3","title":"Get one email column","body":"Map the LinkedIn column, add the Email output and run. Rows with no personal email are marked as no result and are not charged. You pay 75 credits for each email found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Employee & Talent Finder","description":"Find employees at a list of companies.","imageAlt":""},{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Email First Line","description":"Write an email first line from a LinkedIn description.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Personal Email Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Reach anyone you want by using 20+ email finders.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Get phone numbers from a LinkedIn profile URL and pay only for results.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. 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This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Email","Email","Email Found"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]}},"corner":{"title":"Try it for Free","body":"Find personal emails from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentLinkedInProfileScraper":{"metadata":{"title":"LinkedIn Profile Scraper - Extract LinkedIn Profile Data in Bulk | Datablist","description":"Turn a list of LinkedIn or Sales Navigator profile URLs into full contact records in bulk. 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It reads the public page directly, so Datablist never needs your LinkedIn credentials.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: e.g. linkedin.com/in/janedoe","Or a Sales Navigator URL: e.g. linkedin.com/sales/lead/xxxx","Nothing else: No name, no company, no login"],"links":["See full input reference"]},{"title":"What you get","items":["Identity & Location: Name, headline, summary, city, state, country","Work History: Up to 10 experiences with titles, dates, and descriptions","Current Company Data: Website, industry, employee range, and description"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Profile: Fresh data pulled live from LinkedIn","20 Credits with Cached Profiles: Enable cached results when available; fresh fallback can cost 25","Charged per Profile: Not per field, however many you return"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. 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A profile costs 25 credits for fresh data, or 20 if you allow cached profiles. Unlike pay-per-result enrichments, you are charged for every profile the scraper processes, so clean malformed URLs out of your list before a large run. Plan credits renew every month and reset if unused, so they are sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, which makes them the better fit for one-off spikes.","profileHint":"= {credits} credits at {rate} credits per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist loads each public LinkedIn page, parses it, and writes the fields you picked straight into your collection.","steps":[{"label":"Step 1","title":"Upload your profile URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Standard profile URLs and Sales Navigator lead URLs both work, and you can mix them in the same column."},{"label":"Step 2","title":"Datablist reads the public page","body":"Datablist loads and parses each public profile itself. It never asks for your LinkedIn credentials and never acts as your account, which is why running it cannot get your profile restricted."},{"label":"Step 3","title":"Up to 40 fields land in your list","body":"Choose the outputs you want and Datablist writes them into new columns: name, headline, summary, location, work history, education, and firmographics for the current employer."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made workflows built around LinkedIn profile data.","cards":[{"title":"Employee & Talent Finder","description":"Find people at a company, filtered by role.","imageAlt":""},{"title":"Founders Finder","description":"Surface the founders behind a list of companies.","imageAlt":""},{"title":"Company Name to LinkedIn","description":"Resolve company names to their LinkedIn pages.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Scrape LinkedIn Leads","imageAlt":"How To Scrape LinkedIn Leads"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the LinkedIn Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from a LinkedIn URL using 20+ providers at once.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Unlock direct mobile numbers from the same LinkedIn profile URLs.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public company data from LinkedIn company page URLs.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about account safety, billing, and the data you get back."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Profile Scraper","description":"Run Datablist's LinkedIn Profile Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Doesn’t Risk Your Account","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Include LinkedIn Internal ID (URN)","Checkbox","Return the internal LinkedIn identifier, used to build Sales Navigator URLs. Requires fresh data; unavailable with Accept cached profiles"],["Include Pictures","Checkbox","Return the profile picture and company logo URLs. These links expire quickly. Requires fresh data; unavailable with Accept cached profiles"],["Accept cached profiles","Checkbox","Allow cached results when available at 20 credits. Fresh fallback results can cost 25. Cannot be combined with Include LinkedIn Internal ID (URN) or Include Pictures"],["Experiences to return","Select","How many work experiences to return: 3, 5, or 10. Defaults to 3"],["Educations to return","Select","How many education entries to return: 1, 3, or 5. Defaults to 1"]]},{"title":"Inputs","rows":[["Person's LinkedIn Profile","Text","The profile URL. Works with linkedin.com/in/xxx and Sales Navigator lead URLs"]]},{"title":"Outputs","rows":[["LinkedIn Profile URL Normalized","Url","The clean public profile URL, in the format linkedin.com/in/xxx"],["First Name / Last Name / Full Name","Text","The name on the profile, split and combined"],["Headline","Text","The tagline shown under the name on the profile"],["Summary","Text","The longer About blurb written by the person"],["City / State / Country / Country Name","Text","Location fields, with the country as a 2-letter ISO code and in words"],["Location","Text","The full location string as shown on the profile"],["Title (Current or last experience)","Text","Job title of the current or most recent role"],["Description (Current or last experience)","Text","The role description, where the profile has one"],["Start Date / End date (Current or last)","Date","Role dates. The end date is empty while the role is still active"],["Company Name (Current or last experience)","Text","Employer name on the current or most recent role"],["Company page URL / website","Text","The employer's LinkedIn page and its own website"],["Company description / industry / employee range","Text","Firmographics for the current employer, e.g. 11-50"],["Title, dates and company (Experience #2 to #10)","Text","Past roles, up to the number set in Experiences to return"],["Education entries","Text","School, degree, and dates, up to the number set in Educations to return"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Find LinkedIn Profiles From a Name","imageAlt":"How To Find LinkedIn Profiles From a Name"}]}},"corner":{"title":"Try it for Free","body":"Scrape every detail from your LinkedIn profile URLs. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentCompanyNameCleaner":{"metadata":{"title":"Company Name Cleaner - Clean Company Names in Bulk | Datablist","description":"Clean messy company names in bulk with AI. Remove LLC, Inc. and GmbH, fix casing and standardize names for outreach and your CRM. 0.5 credits per name."},"breadcrumb":"Company Name Cleaner","tabs":["Overview","How to use"],"hero":{"title":"Company Name Cleaner","description":"Fix messy company names in bulk. AI removes legal forms like LLC and GmbH, fixes casing and standardizes every name.","trust":["0.5 Credits per Name","Removes Legal Form","Perfect for Outreach"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Clean 1,000 company names free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Company Name Cleaner uses AI to turn raw company names into short, conversational names ready for outreach. It understands context instead of matching a fixed list of suffixes.","cards":[{"title":"What you give","items":["Company Name: The column with your messy names","Keep Legal Forms: Optional setting, off by default","Any language: Handles GmbH, SAS, Inc. and Ltd."],"links":["See full input reference"]},{"title":"What you get","items":["Cleaned Company Name: A normalized name for outreach or your CRM","Fixed casing: BESTFOODserviceGmbH becomes Bestfood Service","Company Name Confidence: Optional High, Medium, Low, or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.5 Credits per Name: 1,000 names cost 500 credits","Cached Names Cost 0: Matching requests reuse a cached result","Failed Rows Cost 0: Only successful uncached names use credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Outputs: Cleaned Company Name and optional Company Name Confidence.","groups":["Your data","Added by Company Name Cleaner"],"headers":["Company Name","Cleaned Company Name","Company Name Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many company names you need to clean and we'll show you the cheapest way to clean them.","unitsLabel":"Company names to clean","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"The Company Name Cleaner costs 0.5 credits per successful uncached name. The estimate counts every name you enter once. Matching cached requests cost 0 credits, so lists with repeated names can cost less. Failed rows cost 0 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","cleanerHint":"= {credits} credits at {rate} credits per name","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Upload the names, run the cleaner and get one clean column back.","steps":[{"label":"Step 1","title":"Upload your company names","body":"Import a CSV or Excel file and pick the column that holds the messy names. Your other columns stay untouched."},{"label":"Step 2","title":"AI cleans every name","body":"The AI removes legal forms such as LLC, Inc., GmbH and SAS, splits joined words and fixes casing. It reads the whole name, so a brand like Boston Consulting Group keeps its core name."},{"label":"Step 3","title":"Keep or remove legal forms","body":"One setting decides whether legal forms stay. Remove them for outreach, or keep them when your CRM needs the entity type. Matching cached requests cost 0 credits."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Clean company name","description":"Clean and standardize company names.","imageAlt":""},{"title":"Clean job title","description":"Remove unnecessary characters and normalize case.","imageAlt":""},{"title":"Correct capitalization","description":"Fix the capitalization of sentences and proper nouns.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Company Name Cleaner with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or the reverse.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes removed and casing fixed. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about company name cleaning, accuracy and credits."},"guide":{"hero":{"title":"How to use Datablist's Company Name Cleaner","description":"Run Datablist's Company Name Cleaner on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Keep Legal Forms","Boolean","Keep legal forms such as GmbH, Ltd., Inc., or SAS in the cleaned name instead of removing them. Default to False."]]},{"title":"Inputs","rows":[["Company Name","Text","Company Name to clean."]]},{"title":"Outputs","rows":[["Cleaned Company Name","Text","The company name cleaned and standardized."],["Company Name Confidence","Text","Optional: High, Medium, Low, or Very Low. AI estimate of whether the cleaned name preserves company identity; not external verification."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]}},"corner":{"title":"Try it for Free","body":"Clean messy company names in bulk with AI. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentInstagramProfileScraper":{"metadata":{"title":"Instagram Profile Scraper - Scrape Instagram Profile Data in Bulk | Datablist","description":"Scrape public Instagram profile data from usernames, URLs or IDs in bulk: bio, followers, website, public email and more. From 1 credit per profile."},"tabs":["Overview","How to use"],"hero":{"title":"Instagram Profile Scraper","description":"Turn Instagram usernames, profile URLs or IDs into profile data: bio, followers, website, public email and more, in bulk.","primary":"Scrape 500 profiles free","guide":"Check Full Guide","note":"No credit card needed","trust":["From 1 Credit per Profile","Up to 23 Data Points per Profile","Scrape 500 Profiles Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Instagram Profile Scraper reads a username, profile URL or Instagram ID from each row and returns the public profile data. Pick the scraping mode that matches the fields you need.","cards":[{"title":"What you give","items":["Instagram Identifier: A profile URL, a username or an Instagram ID, one per row","Scraping Type: Public profile, private profile, About data, or both","Clean Identifiers: Empty or malformed values are marked in the run status"],"links":["See full input reference"]},{"title":"What you get","items":["Profile Basics: Full name, bio, category, website and profile picture","Audience and Account: Follower and following counts, posts, account type, verified and business flags","Contact Details: Public email, phone and WhatsApp number when the profile shows them"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["From 1 Credit per Profile: Public profile mode, from a username or URL","Richer Modes Cost More: Private profile 2 to 3 credits, with About data from 4","Identifiers May Add 1 Credit: When Datablist must resolve the identifier first"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Instagram Identifier. Output: 21 columns in private profile mode, the same grid you work in inside Datablist.","groups":["Your data","Added by Instagram Profile Scraper"],"headers":["Instagram Identifier","Full Name","Description","Follower Count","Category","Website","Account Type","Public Email","Phone Number","Verified","Business Account","Following Count","WhatsApp Phone Number","Profile Picture","Private","Number of Posts","Business Zip Code","Business City","Business Street Address","User Id","User Username","User Profile URL"],"caption":"Sample input and output.","scrollHint":"22 columns, scroll →","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many profiles you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Profiles to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping type?","modes":["Public profile (1 credit per profile)","Private profile from usernames or URLs (3 credits per profile)","Private profile plus About data (4 credits or more per profile)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Instagram Profile Scraper starts at 1 credit per profile in public profile mode, and costs more in the richer modes. Datablist's default scraping type is Private profile, which costs 2 to 3 credits per profile. The modes above use the typical starting cost, so a mixed file or identifiers that need resolving can cost more. Fallback lookups can add to the cost, while available cached data can reduce it. Failed lookups can still use credits if a lookup was performed. The estimate charges every profile once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","scraperHint":"= {credits} credits at {rate} {rate, plural, one {credit} other {credits}} per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add Instagram identifiers and choose how much data you want.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with one Instagram identifier per row. A profile URL, a username or an Instagram ID all work, so mixed formats are fine. Keep your original identifier column next to the new ones."},{"label":"Step 2","title":"Choose a scraping mode","body":"Public profile mode is the cheapest and returns follower counts, bio and website. Private profile mode adds the public email and phone when the account shows them, and About data adds home country and join date."},{"label":"Step 3","title":"Get profile data and a run status","body":"Each row returns the fields for your mode. Use the run-status column to find failed rows, fix the identifiers and rerun only those rows. The scraped profile data lands in your collection, ready to filter and export."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data Extraction","description":"Visit a website and extract information about the company.","imageAlt":""},{"title":"B2B or B2C Classifier","description":"Classify a website as B2B or B2C by its primary audience.","imageAlt":""},{"title":"Company Summary from URL","description":"Visit a website and generate a summary of what the company does.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide","imageAlt":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide"},{"title":"Scrape Instagram followers, following list and post authors for free and enrich them","imageAlt":"Scrape Instagram followers, following list and post authors for free and enrich them"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Instagram Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""},{"title":"Smart Scraper","description":"Extract text, emails, phone numbers and social links from webpages.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about identifiers, scraping types, billing and results."},"guide":{"hero":{"title":"How to use Datablist's Instagram Profile Scraper","description":"Run Datablist's Instagram Profile Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Scraping Type","Select","The private profile includes the public phone_number and public email address if provided by the user. It costs 2 credits if the input is an Instagram Id, 2+1 credits if the input is an URL or an username. The About this account data have two outputs: Home Country and Date Joined. About data scraping costs 2 credits, 2+1 credits if the input is an URL or an username. The public profile doesn't include phone or email but is cheaper. It costs 1 credit if the input is an username or an URL, 1+1 credits if the input is the Instagram Id."]]},{"title":"Inputs","rows":[["Instagram Identifier","Text","Instagram user URL (https://www.instagram.com/tomhanks/), or username (tomhanks), or Instagram id (1758466516)."]]},{"title":"Outputs","rows":[["Full Name","Text","The full name of the user"],["Description","LongText","Instagram user bio."],["Follower Count","Number","Instagram user follower count."],["Following Count","Number","Instagram user following count."],["Category","Text","Instagram user category name."],["Website","Url","Instagram user external url."],["Public Email","Email","Private profile modes only. Instagram user public email address."],["Phone Number","Text","Private profile modes only. Instagram user phone number, when available."],["WhatsApp Phone Number","Text","Private profile modes only. Instagram WhatsApp phone number, when available."],["Account Type","Text","Private profile modes only. Instagram Account Type. One of: PERSONAL, BUSINESS, CREATOR"],["Profile Picture","Url","Instagram user profile picture."],["Private","Boolean","Is the Instagram profile private."],["Verified","Boolean","Is the Instagram profile verified."],["Business Account","Boolean","Is the Instagram profile a business profile."],["Number of Posts","Number","Number of posts posted"],["Business Zip Code","Text","-"],["Business City","Text","-"],["Business Street Address","Text","-"],["User Id","Text","Instagram internal id"],["User Username","Text","Instagram username"],["User Profile URL","Url","Instagram profile URL"],["Last Location","Text","Public profile mode only. If the user has posts with location information, retrieve the most recent location."],["Home Country","Text","About modes only. Instagram user country name. Ex: France."],["Date Joined","Text","About modes only. Month and year of joining Instagram. Ex: October 2012."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide","imageAlt":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide"},{"title":"Scrape Instagram followers, following list and post authors for free and enrich them","imageAlt":"Scrape Instagram followers, following list and post authors for free and enrich them"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Scrape public Instagram profile data in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Instagram Profile Scraper"},"EnrichmentGoogleSearch":{"metadata":{"title":"Google Search - Run Google Searches on CSV Rows in Bulk | Datablist","description":"Run a Google search for every row in your CSV or Excel file. Use row values in your query and return the link, title and snippet. 2.5 credits per search."},"tabs":["Overview","How to use"],"hero":{"title":"Google Search","description":"Run a Google search for every row in your spreadsheet. Build the query from your own columns and get the link, title and snippet back.","primary":"Run 200 searches free","guide":"Check Full Guide","note":"No credit card needed","trust":["2.5 Credits per Search","Live Google Search","Data for AI"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Google Search enrichment runs one search query per row and returns up to 5 Google results. Query templates use values from your columns, so one setup covers the whole list.","cards":[{"title":"What you give","items":["Google Search Query: A template that uses your columns","Target Country and Language: Optional, US and English by default","Filters: Skip domains and keywords you do not want"],"links":["See full settings reference"]},{"title":"What you get","items":["Result Link: The URL of the result","Result Title: The title of the result","Result Snippet: The short description of the result"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["2.5 Credits per Search: 1,000 searches cost 2,500 credits","Billed per Search: Each row you run is one search","Cached Searches: Matching cached queries cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result Link, Result Title and Result Snippet.","groups":["Your data","Added by Google Search"],"headers":["Company Name","Result Link","Result Title","Result Snippet"],"caption":"The search query is built from your columns, for example Company Name plus the word pricing.","scrollHint":"","footer":"The search query is built from your columns, for example Company Name plus the word pricing."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many searches you need to run and we'll show you the cheapest way to run them.","unitsLabel":"Searches to run","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Google Search costs 2.5 credits per search, and each row you run is one search. The estimate charges every search you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. Matching cached searches cost 0 credits. A completed search can still use credits when no result remains after filtering.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"searchHint":"= {credits} credits at {rate} credits per search"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one query template and Datablist runs it for every row.","steps":[{"label":"Step 1","title":"Import your file","body":"Upload a CSV or Excel file with the values you want to search for, such as company names, domains or person names. Every row becomes one search."},{"label":"Step 2","title":"Write a query template","body":"Type your query and insert row values by typing a slash and choosing the property. Optionally set the target country, the language, the number of results and the domains or keywords to skip."},{"label":"Step 3","title":"Collect links, titles and snippets","body":"Create output columns for the result link, title and snippet. The first result is required, and you can return up to 5 results per row. You pay 2.5 credits per search."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"LinkedIn School Pages","description":"Find LinkedIn school pages from school names.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Company Name to Domain: Find Company Websites in Bulk","imageAlt":"Company Name to Domain: Find Company Websites in Bulk"},{"title":"Automating Google Searches On Excel With AI (4 Steps)","imageAlt":"Automating Google Searches On Excel With AI (4 Steps)"},{"title":"Using Agents to Scale AI Search (Huge Time-Saver)","imageAlt":"Using Agents to Scale AI Search (Huge Time-Saver)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Google Search with complementary data tools in Datablist.","cards":[{"title":"AI Agent","description":"Browse websites and run Google searches for every row with one prompt.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Profile Finder from Name","description":"Find a prospect's LinkedIn profile URL from their name.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about queries, results, filters and credits."},"guide":{"hero":{"title":"How to use Datablist's Google Search","description":"Run Datablist's Google Search on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Google Search Query","RichText","Google search query. Type a slash and choose a property to insert row variables."],["Target Country","Select","Country to target for the Google search. Defaults to US if not set."],["Language","Select","Language of the Google search results. Defaults to English if not set."],["Number of Results","Select","Number of Google results to return for each row. Defaults to 1."],["Filter Out Domains/Urls","Text","Comma-separated list of domains to exclude. Example: facebook.com, linkedin.com. Matching is applied to the hostname only; full URL paths are not matched. Filtering is applied only on the first 10 Google results."],["Filter Out Keywords","Text","Comma-separated list of keywords to exclude. Results containing these keywords in the title or snippet will be skipped. Filtering is applied only on the first 10 Google results."]]},{"title":"Outputs","rows":[["Result Link","Url","URL of Google search result #1."],["Result Title","Text","Result title of Google search result #1."],["Result Snippet","LongText","Search snippet (short description) of result #1."],["Result 2 Link","Url","URL of Google search result #2. Available when Number of Results is at least 2."],["Result 2 Title","Text","Result title of Google search result #2. Available when Number of Results is at least 2."],["Result 2 Snippet","LongText","Search snippet (short description) of result #2. Available when Number of Results is at least 2."],["Result 3 Link","Url","URL of Google search result #3. Available when Number of Results is at least 3."],["Result 3 Title","Text","Result title of Google search result #3. Available when Number of Results is at least 3."],["Result 3 Snippet","LongText","Search snippet (short description) of result #3. Available when Number of Results is at least 3."],["Result 4 Link","Url","URL of Google search result #4. Available when Number of Results is at least 4."],["Result 4 Title","Text","Result title of Google search result #4. Available when Number of Results is at least 4."],["Result 4 Snippet","LongText","Search snippet (short description) of result #4. Available when Number of Results is at least 4."],["Result 5 Link","Url","URL of Google search result #5. Available when Number of Results is at least 5."],["Result 5 Title","Text","Result title of Google search result #5. Available when Number of Results is at least 5."],["Result 5 Snippet","LongText","Search snippet (short description) of result #5. Available when Number of Results is at least 5."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Company Name to Domain: Find Company Websites in Bulk","imageAlt":"Company Name to Domain: Find Company Websites in Bulk"},{"title":"Automating Google Searches On Excel With AI (4 Steps)","imageAlt":"Automating Google Searches On Excel With AI (4 Steps)"},{"title":"Using Agents to Scale AI Search (Huge Time-Saver)","imageAlt":"Using Agents to Scale AI Search (Huge Time-Saver)"}]}},"corner":{"title":"Try it for Free","body":"Run a Google search for every row in your file. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Google Search"},"EnrichmentAskChatGPT":{"metadata":{"title":"Ask ChatGPT/OpenAI - Run a ChatGPT Prompt on Every CSV or Excel Row | Datablist","description":"Run a ChatGPT prompt on every row of a CSV or Excel file. Free in Datablist with your own OpenAI API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask ChatGPT/OpenAI","description":"Write one prompt and run ChatGPT on every row of your CSV or Excel file. Free in Datablist with your own OpenAI API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask ChatGPT/OpenAI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your OpenAI API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by ChatGPT for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used when you provide your own OpenAI API key","Billed by OpenAI: Usage is charged to your own OpenAI account in own-key mode","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask ChatGPT/OpenAI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask ChatGPT/OpenAI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Ask ChatGPT/OpenAI can also run on Datablist credits instead of your own key. Switch on Use Datablist credits in the settings and Datablist charges your credits based on token usage. This page covers the free mode with your own key.","planRows":[["Datablist credits","None. This enrichment is free to run."],["OpenAI usage","OpenAI bills your own account for API usage, based on the tokens your prompts and results use. Prices depend on the model you choose."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]]},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your OpenAI API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format or tone, and turn on Cache Results on a paid Datablist plan to skip duplicate prompts."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages rate limits and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask ChatGPT/OpenAI with complementary data tools in Datablist.","cards":[{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"Ask Mistral AI","description":"Run Mistral AI on every row.","imageAlt":"Ask Mistral AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask ChatGPT/OpenAI","description":"Run Datablist's Ask ChatGPT/OpenAI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Datablist credits","Boolean","Check this setting to use Datablist's OpenAI account instead of your own key. Useful to avoid rate limits or when you do not have an OpenAI account."],["OpenAI API Key","Text","Your OpenAI API Key. Available in your OpenAI account under API Keys at platform.openai.com/api-keys. Turn on Use Datablist credits to use Datablist's OpenAI account instead."],["Prompt","RichText","Prompt to be used to call ChatGPT. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Cache Results","Boolean","Enable this to cache results for 48 hours. Identical prompts with the same settings on the same data reuse previous responses for free (no additional credits used). Available on paid Datablist plans."],["Max Concurrent Calls","Number","Maximum number of parallel calls. Default is 10. Reduce if you hit rate limit errors."],["GPT Model","Select","(Optional) Select the GPT model. Default to GPT 4o mini. See the OpenAI Models page."],["Model id","Text","Write the GPT model id. Example: gpt-5.4-nano, gpt-5.4-mini. Check OpenAI's pricing page for the list. Select Other in GPT Model first. Custom model IDs require your own API key."],["Advanced Settings","Boolean","Configure max tokens, reasoning effort, flex mode, and response verbosity."],["ChatGPT Max tokens","Number","The maximum number of output tokens. If unset, the provider/model default applies."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."],["Use Flex Mode","Boolean","Enable lower-cost Flex processing on compatible models, with longer response times."],["Flex Timeout (seconds)","Number","Default 360 seconds. Accepts 30–1,500 seconds; available when Flex mode and Advanced Settings are enabled."],["Reasoning Effort","Select","Low, Medium or High on compatible models. Defaults to Medium."],["Response Verbosity","Select","Low, Medium or High on compatible models. Defaults to Medium."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by ChatGPT."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run ChatGPT on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask ChatGPT/OpenAI"},"EnrichmentAskDeepSeek":{"metadata":{"title":"Ask DeepSeek AI - Run DeepSeek on Every CSV or Excel Row | Datablist","description":"Run a DeepSeek prompt on every row of a CSV or Excel file. Free in Datablist with your own DeepSeek API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask DeepSeek AI","description":"Write one prompt and run DeepSeek on every row of your CSV or Excel file. Free in Datablist with your own DeepSeek API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask DeepSeek AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your DeepSeek API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by DeepSeek for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by DeepSeek: Usage is charged to your own DeepSeek account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask DeepSeek AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask DeepSeek AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["DeepSeek usage","DeepSeek bills your own account for API usage. Fees come out of your topped-up balance or your granted balance, with the granted balance used first."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Your DeepSeek account needs a balance for the run to work. Top it up in the DeepSeek Platform before you start a large file."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your DeepSeek API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format, for example to return just the result."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask DeepSeek AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask DeepSeek AI","description":"Run Datablist's Ask DeepSeek AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["DeepSeek API Key","Text","Your DeepSeek API Key. Available at platform.deepseek.com/api_keys."],["Prompt","RichText","Prompt to be used to call DeepSeek. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["DeepSeek Model","Select","Choose the model to use. See DeepSeek's models and pricing page to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written on DeepSeek's models and pricing page. Select Other in DeepSeek Model first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run DeepSeek on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask DeepSeek AI"},"EnrichmentApolloPeopleSearch":{"metadata":{"title":"Apollo.io People Search - Find Leads by Company Domain in Bulk | Datablist","description":"Search people at a list of company domains with Apollo.io. Define job titles and seniority and get profiles in your CSV or Excel file. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Search","description":"Turn a list of company domains into matching people. Define job titles and seniority, and get profiles back. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Up to 3 Leads per Company","Fallback Titles When No Match"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Search runs Apollo people searches in bulk. Give it company domains, define the roles or seniority you want, and it returns matching profiles in your table.","cards":[{"title":"What you give","items":["Company Domain: One company domain per row, for example google.com","Job Titles or Seniority: At least one of the two, with optional fallback title lists","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Matching Profiles: Name, job title, seniority, location and LinkedIn URL","Work Email and Company Data: When Apollo returns them for the profile","Total Query Results: how many profiles matched each company"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","Any Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Domain. Output: Full Name #1, Job Title #1, Seniority #1, Country #1 and Total Query Results.","groups":["Your data","Added by Apollo.io People Search"],"headers":["Company Domain","Full Name #1","Job Title #1","Seniority #1","Country #1","Total Query Results"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Search does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo's People Search costs 0 Apollo credits. Turning the hits into complete profiles typically uses 1 Apollo credit per profile returned. The optional company name fallback uses 1 Apollo credit per search page."],["Running in the app","Needs a Datablist plan, and any paid plan works. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan. Check your Apollo API limits before running a large file. A Datablist plan is needed to run this enrichment in the app, and any paid plan works."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and the roles you want, and get people back.","steps":[{"label":"Step 1","title":"Import your company domains","body":"Upload a CSV or Excel file with one company domain per row. Domains are more precise than company names. Add the company name too as a fallback for companies with several domains."},{"label":"Step 2","title":"Define the people you want","body":"Paste your Apollo API key, then add job titles, a seniority level, or both. Add fallback title lists for when the first list finds nobody, and choose up to 3 people per company."},{"label":"Step 3","title":"Run it and review the status","body":"Datablist searches each company and writes the profiles into numbered columns, plus a Total Query Results count for every row. Filter no-result rows to adjust your titles and rerun them. Keep the status column so you can see which rows failed."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Find Company Domain from Company and Employee Names","description":"Find a company's official domain using its name and an employee's full name to identify and verify the correct company.","imageAlt":"Find Company Domain from Company and Employee Names"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Search with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Search","description":"Find people at a company by job title and seniority.","imageAlt":"Waterfall People Search"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Search","description":"Run Datablist's Apollo.io People Search on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Get your API key on developer.apollo.io/keys."],["Person Titles","Text","Comma-separated list of person's titles. For example: sales director, engineer manager. The query will return results matching ANY of the titles passed in. You must define at least one Person Title or Person Seniority."],["Titles Fallback 1","Text","Search other job titles when no profile matches the main title list. Optional."],["Titles Fallback 2","Text","Search other job titles when no profile matches the \"Titles Fallback 1\" list. Optional."],["Titles Fallback 3","Text","Search other job titles when no profile matches the \"Titles Fallback 2\" list. Optional."],["Person Seniority","Select (multiple)","Select one or more seniority levels. Apollo returns people matching any selected level. You must define at least one Person Title or Person Seniority."],["Number of persons returned per search","Number","Default to 1. Max 3."]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain. Ex: google.com"],["Company name (optional)","Text","Company name is used as fallback if the company domain has yielded no result. This can be the case with companies that have several domains (.fr, .es, .com, etc.)."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","Returned by Apollo."],["Job Start Date #1","Text","Returned by Apollo."],["Seniority #1","Text","Returned by Apollo."],["City #1","Text","Returned by Apollo."],["Country #1","Text","Returned by Apollo."],["Company LinkedIn Page #1","Url","Returned by Apollo."],["Apollo Person ID #1","Text","Unique Apollo identifier for the person."],["Work Email Address #1","Email","Work email returned by Apollo Bulk People Enrichment."],["Email Status #1","Text","Apollo verification status for the work email."],["Email Domain Catch-all #1","Boolean","Whether Apollo identifies the email domain as catch-all."],["Email Domain Catch-all Verdict #1","Text","Apollo's catch-all verdict for the email domain."],["Email Confidence #1","Number","Apollo confidence score for an extrapolated email."],["Profile Photo #1","Url","Profile photo URL."],["Twitter/X Profile #1","Url","Twitter or X profile URL."],["GitHub Profile #1","Url","GitHub profile URL."],["Facebook Profile #1","Url","Facebook profile URL."],["State/Region #1","Text","Person's state or region."],["Formatted Address #1","Text","Person's formatted location or address."],["Street Address #1","Text","Person's street address when available."],["Postal Code #1","Text","Person's postal code."],["Time Zone #1","Text","Person's time zone."],["Departments #1","Text","Apollo department classifications for the person."],["Subdepartments #1","Text","Apollo subdepartment classifications for the person."],["Functions #1","Text","Apollo job-function classifications for the person."],["Employment History #1","LongText","Complete employment history returned by Apollo, formatted as JSON."],["Apollo Organization ID #1","Text","Unique Apollo identifier for the current organization."],["Organization Name #1","Text","Name of the person's current organization."],["Intent Strength #1","Text","Apollo intent-strength value when available."],["Intent Available #1","Boolean","Whether Apollo exposes intent data for the person."],["Company Domain #1","Text","Primary domain of the current organization."],["Company Website #1","Url","Website URL of the current organization."],["Company Twitter/X #1","Url","Twitter or X URL of the current organization."],["Company Facebook #1","Url","Facebook URL of the current organization."],["Company AngelList #1","Url","AngelList URL of the current organization."],["Company Crunchbase #1","Url","Crunchbase URL of the current organization."],["Company Logo #1","Url","Logo URL of the current organization."],["Company Phone #1","Text","Main phone number of the current organization."],["Company Founded Year #1","Number","Year the current organization was founded."],["Company Industry #1","Text","Primary industry of the current organization."],["Company Industries #1","Text","Industries associated with the current organization."],["Company Secondary Industries #1","Text","Secondary industries associated with the current organization."],["Company Keywords #1","LongText","Keywords associated with the current organization."],["Company Estimated Employees #1","Number","Apollo's estimated employee count for the current organization."],["Company Revenue #1","Number","Numeric revenue estimate for the current organization."],["Company Revenue (Formatted) #1","Text","Formatted revenue estimate returned by Apollo."],["Company Headcount Growth (6 Months) #1","Number","Six-month organization headcount growth."],["Company Headcount Growth (12 Months) #1","Number","Twelve-month organization headcount growth."],["Company Headcount Growth (24 Months) #1","Number","Twenty-four-month organization headcount growth."],["Company Alexa Ranking #1","Number","Alexa ranking returned by Apollo."],["Company Formatted Address #1","Text","Formatted address of the current organization."],["Company Street Address #1","Text","Street address of the current organization."],["Company City #1","Text","City of the current organization."],["Company State/Region #1","Text","State or region of the current organization."],["Company Postal Code #1","Text","Postal code of the current organization."],["Company Country #1","Text","Country of the current organization."],["Company Languages #1","Text","Languages associated with the current organization."],["Company NAICS Codes #1","Text","NAICS industry classification codes."],["Company SIC Codes #1","Text","SIC industry classification codes."],["Company Stock Symbol #1","Text","Public stock symbol of the current organization."],["Company Stock Exchange #1","Text","Public stock exchange of the current organization."],["Company Retail Location Count #1","Number","Number of retail locations reported by Apollo."],["Total Query Results","Number","The total number of profiles maching the query"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find the right people at a list of companies with your own Apollo key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Search"},"EnrichmentApolloPeopleEnrichment":{"metadata":{"title":"Apollo.io People Enrichment - Enrich Contacts With Apollo in Bulk | Datablist","description":"Enrich contacts with the Apollo.io People Enrichment API from a CSV or Excel file. Get LinkedIn URL, job title, email and phone number. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Enrichment","description":"Enrich a list of contacts with Apollo: LinkedIn URL, job title, email, phone number and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Match by Email or LinkedIn","Social Profiles and Location"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Enrichment enriches contacts with the Apollo.io API. Provide a LinkedIn URL or an email, or a name with a company, and it returns the profile details Apollo has.","cards":[{"title":"What you give","items":["A LinkedIn URL or an Email: Either one is enough on its own","Or a Name and a Company: First and last name, or full name, with a company domain or name","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Contact Details: Email, phone number, title, seniority and LinkedIn URL","Profiles and Location: Twitter or X, Facebook, city, state and country","Company Details: Company name, LinkedIn page and website"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Full Name and Company Domain. Output: Email from Apollo, Title, LinkedIn URL and Seniority.","groups":["Your data","Added by Apollo.io People Enrichment"],"headers":["Full Name","Company Domain","Email from Apollo","Title","LinkedIn URL","Seniority"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it a LinkedIn URL, an email, or a name with a company, and get the contact details back.","steps":[{"label":"Step 1","title":"Import your contacts","body":"Upload a CSV or Excel file with your contacts. The most reliable inputs are a LinkedIn profile URL or an email. A first name, last name and company domain also work."},{"label":"Step 2","title":"Paste your key and map inputs","body":"Paste your Apollo API key and map the columns that identify each person. Skip the inputs you do not have, since one strong identifier is enough. Test on the first 10 rows before you run the whole list."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each contact and writes the details into new columns. Filter the rows with empty output columns to find the people Apollo could not match. Fix the source data and rerun those rows."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Enrichment with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email, a LinkedIn URL or a name.","imageAlt":"Waterfall People Enrichment"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Enrichment","description":"Run Datablist's Apollo.io People Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["First Name","Text","Person's first name. Ex: Tim"],["Last Name","Text","Person's last name. Ex: Zheng"],["Full Name","Text","Person's full name (if you don't have the first name and last name split). Ex: Tim Zheng. We recommend using the First Name and Last Name fields instead for better results."],["Email","Email","Person's email (optional). Ex: example@domain.com. If you have the person's email, you don't need to map the other input fields."],["LinkedIn Url","Text","Person's LinkedIn URL. If you provide the LinkedIn URL, do not map the name or other fields. This gives the best results."],["Company Name","Text","Person's company name (optional). Ex: Datablist"],["Company Domain","Text","Person's company domain (optional). Ex: datablist.com. Recommended over just the company name."]]},{"title":"Outputs","rows":[["Email from Apollo","Email","Person's email"],["Phone Number","Text","The matched company's business phone number, when available. This integration does not enable mobile-phone reveal."],["Title","Text","Person's job title. Ex: Sales Executive, CEO, etc."],["Seniority","Text","Person's seniority. Ex: entry, vp, c_suite"],["LinkedIn URL","Url","Person's LinkedIn url."],["Twitter URL","Url","Person's Twitter url."],["Facebook URL","Url","Person's Facebook url."],["Github URL","Url","GitHub URL output. Currently empty in this integration."],["State","Text","The person's state or region."],["City","Text","The person's city."],["Country","Text","The person's country."],["Company Name from Apollo","Text","Person's company name."],["Company LinkedIn URL","Url","Person's company LinkedIn url."],["Company Website","Url","Person's company website."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]}},"corner":{"title":"Try it for Free","body":"Enrich contacts with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Enrichment"},"EnrichmentApolloCompanyEnrichment":{"metadata":{"title":"Apollo.io Company Enrichment - Enrich Domains With Apollo in Bulk | Datablist","description":"Enrich company domains with the Apollo.io Organization Enrichment API from a CSV or Excel file. Get industry, employees, address and social URLs. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io Company Enrichment","description":"Enrich a list of company domains with Apollo: industry, employees, address, social URLs and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","20 Data Fields per Company","Social URLs and Address"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io Company Enrichment enriches company domains with the Apollo.io Organization Enrichment API. Give it a domain and it returns the social URLs, industry, size, address and more.","cards":[{"title":"What you give","items":["A Company Domain: One domain per row, for example google.com","Your Apollo API Key: Pasted into the settings","No Other Settings: Map the domain, choose outputs and run"],"links":["See full input reference"]},{"title":"What you get","items":["Company Basics: Name, website, description, industry and founded year","Size, Phone and Address: Employees, phone number and the full address","Social Links: LinkedIn, Twitter or X, Facebook, Crunchbase and AngelList"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Domain. Output: Company Name, Company Industry, Estimated Number of Employees, City and Country.","groups":["Your data","Added by Apollo.io Company Enrichment"],"headers":["Domain","Company Name","Company Industry","Estimated Number of Employees","City","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io Company Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and get firmographic data back.","steps":[{"label":"Step 1","title":"Import your domains","body":"Upload a CSV or Excel file with one company domain per row. A clean domain, such as google.com, is all the enrichment needs to find a company."},{"label":"Step 2","title":"Paste your key and map the domain","body":"Paste your Apollo API key and map the Domain input to your domain column. There are no other settings to configure, so you can go straight to choosing outputs. Start with a test on the first 10 rows."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each domain and writes the company data into new columns. Filter the rows with empty output columns to find the domains Apollo could not match. Fix those domains and run the rows again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data extraction from website","description":"Visit a website, search for the About Page, and extract information about the company (summary, industry, number of employees) and its found social links.","imageAlt":"Company Data extraction from website"},{"title":"Company enrichment from company name","description":"Find and enrich a company using its name. Prioritizes fast exits when no reliable online presence exists.","imageAlt":"Company enrichment from company name"},{"title":"Get Company Sector","description":"Figure out the company's sector using the LLM knowledge, a company database, or by checking the website.","imageAlt":"Get Company Sector"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io Company Enrichment with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company Enrichment"},{"title":"Identify Technologies on Websites","description":"Find the technology stack of any website.","imageAlt":"Identify Technologies on Websites"},{"title":"LinkedIn Company Page Scraper","description":"Scrape company data from LinkedIn company pages.","imageAlt":"LinkedIn Company Page Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io Company Enrichment","description":"Run Datablist's Apollo.io Company Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["Domain","Text","Company domain to enrich. Example: google.com"]]},{"title":"Outputs","rows":[["Company Name","Text","The company name."],["Website URL","Url","The company website url."],["LinkedIn URL","Url","The company LinkedIn url."],["LinkedIn UID","Text","The company LinkedIn identifier. Ex: 69842428."],["Apollo Company Link","Text","Direct link to the company on Apollo.io. Ex: https://app.apollo.io/#/accounts/6758625db51a1202d1948b97"],["Twitter URL","Url","The company Twitter url."],["Facebook URL","Url","The company Facebook url."],["Crunchbase URL","Url","The company Crunchbase url."],["AngelList URL","Url","The company AngelList url."],["Company Phone","Text","The company Phone Number"],["Company Industry","Text","The company industry."],["Company Description","LongText","The company description."],["Founded Year","Number","The year the company was founded."],["Estimated Number of Employees","Number","The estimated number of employees."],["Company Full Address","Text","The full company postal address"],["Street Address","Text","The street address component from the full address"],["City","Text","The city component from the full address"],["State","Text","The state component from the full address"],["Postal Code","Text","The Postal Code component from the full address"],["Country","Text","The company country."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]}},"corner":{"title":"Try it for Free","body":"Enrich company domains with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io Company Enrichment"},"EnrichmentAskClaudeAI":{"metadata":{"title":"Ask Anthropic/Claude AI - Run Claude on Every CSV or Excel Row | Datablist","description":"Run a Claude prompt on every row of a CSV or Excel file. Free in Datablist with your own Anthropic API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Anthropic/Claude AI","description":"Write one prompt and run Claude on every row of your CSV or Excel file. Free in Datablist with your own Anthropic API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Anthropic/Claude AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Anthropic API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Claude for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Anthropic: Usage is charged to your own Anthropic account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask Anthropic/Claude AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies as B2B or B2C","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company as B2B or B2C. Return only B2B or B2C:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask Anthropic/Claude AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Anthropic usage","Anthropic bills your own account for API usage, based on the Claude model you choose and how much text each row uses."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"You need an active Anthropic account with billing enabled. The enrichment will not run with a key from an account that has no credits."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your Anthropic API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt so Claude knows its role and answers in a consistent format."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask Anthropic/Claude AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Mistral AI","description":"Run Mistral AI on every row.","imageAlt":"Ask Mistral AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask Anthropic/Claude AI","description":"Run Datablist's Ask Anthropic/Claude AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Anthropic API Key","Text","Your Anthropic API Key. Available at console.anthropic.com/settings/keys."],["Prompt","RichText","Prompt to be used to call Anthropic. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Anthropic Model","Select","Choose the model to use. See the Claude models overview in Anthropic's docs to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written in Anthropic's models overview. Select Other in the model setting first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run Claude on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask Anthropic/Claude AI"},"EnrichmentAskMistralAI":{"metadata":{"title":"Ask Mistral AI - Run Mistral on Every CSV or Excel Row | Datablist","description":"Run a Mistral AI prompt on every row of a CSV or Excel file. Free in Datablist with your own Mistral API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Mistral AI","description":"Write one prompt and run Mistral AI on every row of your CSV or Excel file. Free in Datablist with your own Mistral API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Mistral AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Mistral API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Mistral for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Mistral: Usage is charged to your own Mistral account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. 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Output: Result and Confidence.","groups":["Your data","Added by Classification with ChatGPT/OpenAI"],"headers":["Text","Result","Confidence"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify job titles by department","description":"A setup that works on any text column. Open it to see the text column and the labels.","toggle":"Show the example setup","promptLabel":"Setup","prompt":"Text to classify: Job Title\nLabels: Sales, Marketing, Operations, Engineering, Management, Other","note":"Map the Text input to the column you want to classify and type your labels separated by commas. Datablist returns one label and a confidence level for each row."},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Classification with ChatGPT/OpenAI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. 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Filter the low-confidence rows to review them or rerun them."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Categorize job title","description":"Classify a job title under broader categories like Marketing, Finance, Engineering, Sales, etc.","imageAlt":"Categorize job title"},{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Decision maker flag from job title","description":"Determine if a person is likely a decision maker based on their job title.","imageAlt":"Decision maker flag from job title"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Classification with ChatGPT/OpenAI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run any ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Language Detection","description":"Detect the language of any text.","imageAlt":"Language Detection"},{"title":"Entity Name Extraction","description":"Extract names from free text.","imageAlt":"Entity Name Extraction"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, labels, confidence and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Classification with ChatGPT/OpenAI","description":"Run Datablist's Classification with ChatGPT/OpenAI on your own list in 9 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. 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Flex mode provides cost-efficient processing with longer response times."],["Flex Timeout (seconds)","Number","Maximum time to wait for a Flex response. Default is 360 seconds (6 minutes); maximum is 1,500 seconds (25 minutes). Available when Use Flex Mode is enabled."]]},{"title":"Inputs","rows":[["Text","Text","Text to classify."]]},{"title":"Outputs","rows":[["Result","Text","The returned label, when available."],["Confidence","Text","Confidence level returned by the model: High, Medium, Low, or Very Low."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]}},"corner":{"title":"Try it for Free","body":"Sort every row of a CSV or Excel file into your own labels with your own OpenAI key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Classification with ChatGPT/OpenAI"},"EnrichmentAIResearchAgent":{"metadata":{"title":"AI Research Agent - Run Web Research on Every Row in Bulk | Datablist","description":"Give the agent a goal and the fields you want back. 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You define your own output fields in the prompt."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"The agent bills for the work it does, so this sizes your plan against the top of the range rather than the average.","unitsLabel":"Rows to research","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work, and why this is a range","creditsBody":"Unlike a fixed-price enrichment, the agent bills for what it actually does on each row: every Google search, every page it opens, every block of text it reads. A row it resolves from the first search result is cheap. A row that takes it through five pages is not. On a typical task at default settings that works out to somewhere between 3 and 25 credits per row, and credits are spent even on rows where it finds nothing. Max iterations limits research depth: raising it lets the agent dig deeper and raises the top of the estimated range with it. It is not a fixed credit cap. Treat the number as sizing guidance, not a quote. The range models the default model and one rendered scrape per row when Render HTML is enabled; more page visits or a different model can change the cost. Run a hundred rows first and read your real per-row cost off that. Plan credits renew monthly and reset if unused. 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":"Kloge mennesker spørger ofte","WHAT_IS_TITLE":"Hvad er Datablist?","WHAT_IS_TEXT":"Datablist er et AI-drevet regneark, der lader dig arbejde med dine data på den nemmest mulige måde – fra deduplikering og datavask til bearbejdning, berigelse og automatisering af workflows.","TECHNICAL_TITLE":"Er Datablist bygget til tekniske brugere?","TECHNICAL_TEXT":"Datablist er for alle, der skal arbejde med data – fra begyndere til power users. Vores regnearksgrænseflade og læringsressourcer sikrer, at du kan komme i gang og være produktiv med det samme.","INDUSTRIES_TITLE":"Hvilke brancher og teams bruger Datablist?","INDUSTRIES_TEXT":"Selvom størstedelen af vores kunder arbejder inden for salg, e-com operations, SaaS growth eller finans, er vi ikke begrænset til bestemte brancher eller teams – vi arbejder gerne med dem alle.","INTEGRATIONS_TITLE":"Hvilke værktøjer kan vi integrere med Datablist?","INTEGRATIONS_TEXT":"Datablist kan integrere med mange CRM'er og hjælper dig med at skære ned på mange abonnementer, såsom scrapers og email finders. Det låser også op for værktøjer, som ingen anden platform tilbyder, såsom vores AI research agent og deduplication assistant."},"FeatAIAgent":{"PAGE_TITLE":"AI Agent: Automatisér web research og dataudtræk","PAGE_DESC":"Brug Datablists AI Agent til at scrape ethvert website, automatisere Google-søgninger og udtrække strukturerede data med simple prompts. Ingen kode nødvendig.","HERO_TITLE":"Din automatiserede AI research-assistent","DESCRIPTION":"Stop med at spilde timer på manuelt research-arbejde. Beskriv dit mål på helt almindeligt engelsk, og vores AI Agent vil søge på Google, browse websites og udtrække de præcise data, du har brug for—helt automatisk.","FEATURE":"Feature","POWERFUL_AUTOMATION":"Kraftfuld automatisering","100%ONLINE":"100% online","EASY_TO_USE":"Nem at bruge","BEYOND_SCRAPING_TITLE":"Gå ud over traditionel web scraping","BEYOND_SCRAPING_DESC_1":"Traditionelle web scrapers er afhængige af stive regler og går i stykker i det øjeblik et websites layout ændrer sig. De kan ikke forstå kontekst eller håndtere komplekse, dynamiske sites.","BEYOND_SCRAPING_DESC_2":"Vores AI Agent er anderledes. Drevet af avancerede large language models, den forstår betydningen af indhold—ikke kun dets HTML-struktur. Den navigerer på websites som et menneske, hvilket gør den mere robust, alsidig og i stand til at udtrække nuanceret information.","BEYOND_SCRAPING_DESC_3":"Giv den et mål, og den planlægger og udfører trinene for at nå det\u0000fra at følge links og paginere gennem resultater til at analysere ustruktureret tekst.","HOW_IT_WORKS_TITLE":"Sådan fungerer AI Agent","HOW_IT_WORKS_DESC":"AI Agent følger en simpel, men kraftfuld proces for at gøre din forespørgsel til strukturerede data.","STEP_1_TITLE":"1. Du sætter målet","STEP_1_DESC":"Angiv en start-URL og en klar prompt, der forklarer, hvilke data du skal udtrække, og hvordan de skal formateres.","STEP_2_TITLE":"2. Agenten navigerer og forstår","STEP_2_DESC":"Agenten besøger websitet, gengiver JavaScript og analyserer indholdet for at forstå konteksten og finde de relevante oplysninger.","STEP_3_TITLE":"3. Den håndterer komplekse sider","STEP_3_DESC":"Skal du scrape en liste over flere sider? Aktiver blot pagination. Agenten vil intelligent finde og klikke på 'next' for at samle data fra alle sider.","STEP_4_TITLE":"4. Data udtrækkes og struktureres","STEP_4_DESC":"Baseret på din prompt udtrækker agenten de angivne datapunkter og leverer dem pænt i dine forudkonfigurerede kolonner.","USE_CASES_TITLE":"Fra Lead Gen til markedsindsigt: Uendelige muligheder","USE_CASE_LEAD_GEN_TITLE":"Boost din Lead Generation","USE_CASE_LEAD_GEN_DESC":"Find hyperrelevante personaliseringspunkter i stor skala. Scrape virksomheders case-studier, identificer nøglepersoner på 'Om os'-sider, eller udtræk kontaktoplysninger fra tyske 'Impressum'-sider.","USE_CASE_LEAD_GEN_LINK":"Se hvordan du scraper case-studier","USE_CASE_ECOMMERCE_TITLE":"E-commerce & produkt-scraping","USE_CASE_ECOMMERCE_DESC":"Udtræk produktnavne, priser, specifikationer og beskrivelser fra enhver e-commerce shop, også på tværs af flere kategorisider.","USE_CASE_ECOMMERCE_LINK":"Lær at scrape e-commerce sites","USE_CASE_REVIEWS_TITLE":"Anmeldelser & sentimentanalyse","USE_CASE_REVIEWS_DESC":"Saml kundefeedback ved at scrape anmeldelsesplatforme som Trustpilot eller Trusted Shops. Analyser sentiment og identificer gennemgående temaer for at forstå markedet.","USE_CASE_REVIEWS_LINK":"Guide til at scrape Trustpilot","USE_CASE_RESEARCH_TITLE":"Automatiseret markedsanalyse","USE_CASE_RESEARCH_DESC":"Automatisér gentagne Google-søgninger for hver række i dit regneark. Overvåg konkurrentnyheder, følg branchens tendenser, eller indsam data til rapporter uden manuelt arbejde.","USE_CASE_RESEARCH_LINK":"Lær at automatisere Google-søgninger","VIDEO_TITLE":"Se AI Agent i aktion","VIDEO_TEXT":"Se, hvordan AI Agent kan besøge en liste over tyske websites, finde 'Impressum'-siden og udtrække strukturerede kontaktoplysninger—en opgave, som er umulig for traditionelle scrapers.","TALK_TO_US_TEXT":"Klar til at sætte din web research på autopilot? Prøv AI Agent, og begynd at omsætte ustrukturerede webdata til handlingsrettede indsigter.","CSV_EDITOR_DESCRIPTION":"En moderne CSV-editor til at håndtere dine CSV-filer online. Åbn og rediger dine data direkte i din browser","LEAD_LIST_BUILDING":"Byg, rens og berig dine lead-lister","LEAD_BUILDING_DESCRIPTION":"Det bedste værktøj til at dykke ned i lead-lister med høj volumen. Organiser, berig og find de perfekte prospects."},"FeatAIEditing":{"PAGE_TITLE":"AI Editing: Automatiser Excel- og CSV-opgaver med prompts","PAGE_DESC":"Erstat komplekse formler og makroer. Brug simple prompts til at rense, transformere og analysere dine data i stor skala med Datablist's AI Editing-feature.","HERO_TITLE":"Automatiser regnearksopgaver med AI","DESCRIPTION":"Stop med at slås med komplekse formler. Beskriv blot på almindeligt engelsk, hvad du har brug for, og lad vores AI generere det perfekte script til at rense, transformere og analysere dine data på få sekunder.","FEATURE":"Feature","UNLIMITED":"Ubegrænset brug","100%ONLINE":"100% Online","NO_CODE":"No Code","REPLACE_FORMULAS_TITLE":"Erstat formler med simple prompts","REPLACE_FORMULAS_DESC_1":"Træt af at slå VLOOKUP-syntaks op eller debugge komplekse Excel-formler? Med AI Editing kan du sige farvel til formel-frustration.","REPLACE_FORMULAS_DESC_2":"Skriv blot, hvad du vil gøre, og vores AI genererer straks et skræddersyet script til at håndtere opgaven. Det er som at have en dataekspert ved din side, klar til at automatisere enhver dataopgave.","REPLACE_FORMULAS_DESC_3":"Uanset om du renser virksomhedsnavne, standardiserer adresser eller scorer leads, omsætter AI Editing dine instruktioner til handling.","HOW_IT_WORKS_TITLE":"Sådan fungerer det: Fra prompt til perfekte data i 4 trin","STEP_1_TITLE":"1. Importér dine data","STEP_1_DESC":"Upload din CSV- eller Excel-fil til Datablist. Vores platform håndterer store datasæt uden problemer, så du kan arbejde med hele din liste på én gang.","STEP_2_TITLE":"2. Åbn AI Editing","STEP_2_DESC":"Gå til menuen 'Edit' og vælg 'AI Editing'. Det åbner prompt-interfacet, hvor magien sker.","STEP_3_TITLE":"3. Skriv din prompt","STEP_3_DESC":"Beskriv opgaven, du vil udføre. Brug variabler ved at skrive /ColumnName for at referere til dine data. Vær så specifik, som du har brug for!","STEP_4_TITLE":"4. Forhåndsvis og kør","STEP_4_DESC":"AI'en genererer et script og viser dig en live forhåndsvisning af ændringerne. Hvis det ser rigtigt ud, klik 'Run' for at behandle hele din liste med det samme.","USE_CASES_TITLE":"Lås op for kraftfulde use cases","USE_CASE_FIND_REPLACE_TITLE":"Find og erstat i stor skala","USE_CASE_FIND_REPLACE_DESC":"Erstat hundredvis af termer på tværs af dit datasæt med én enkelt instruktion. Perfekt til at standardisere kategorier, rette almindelige stavefejl eller opdatere produktoplysninger.","USE_CASE_FIND_REPLACE_LINK":"Lær mere om find & erstat i stor skala","USE_CASE_CLEANING_TITLE":"Avanceret datavask","USE_CASE_CLEANING_DESC":"Rens og normalisér komplekse data såsom virksomhedsnavne ved at fjerne juridiske endelser (LLC, Inc.) eller standardisere jobtitler og adresser.","USE_CASE_CLEANING_LINK":"Se hvordan du renser virksomhedsnavne","USE_CASE_SCORING_TITLE":"Tilpasset lead scoring og datascoring","USE_CASE_SCORING_DESC":"Opret sofistikerede scoringsmodeller baseret på flere kriterier fra dine data. Tildel point, rangér leads og prioritér dine lister uden én eneste formel.","USE_CASE_SCORING_LINK":"Lær at score leads med AI","USE_CASE_TRANSFORM_TITLE":"Kompleks datatransformation","USE_CASE_TRANSFORM_DESC":"Fra at udtrække specifikke dele af en tekst til at udføre betinget logik håndterer AI Editing transformationer, der næsten er umulige med standard regnearksfunktioner.","USE_CASE_TRANSFORM_LINK":"Se flere eksempler på datavask","VIDEO_TITLE":"Se AI Editing i aktion","LEAD_BUILDING_DESCRIPTION":"Det bedste værktøj til at analysere store leadlister i dybden. Organisér, berig og find de perfekte prospects.","VIDEO_TEXT":"Se hvordan du opdaterer katalogenheder med en simpel prompt. Ingen formler, intet bøvl.","TALK_TO_US_TEXT":"Klar til at stoppe med at spilde tid på manuelle regnearksopgaver? Prøv AI Editing og transformér dit data-workflow i dag!","CSV_EDITOR_DESCRIPTION":"En moderne CSV-editor til at håndtere dine CSV-filer online. Åbn og redigér dine data direkte i din browser","LEAD_LIST_BUILDING":"Byg, rens og berig dine leadlister","SEE_ALSO":"Se også"},"FeatCombine":{"PAGE_TITLE":"Konsolider og flet CSV-filer gratis","PAGE_DESC":"Sammenkæd dine CSV-datalister baseret på en fælles nøglekolonne.","FEATURE":"Funktion","NOSIGNUP":"Ingen tilmelding nødvendig","100%ONLINE":"100% online","EASY_TO_USE":"Nem at bruge","HERO_TITLE":"Konsolider og flet CSV-filer gratis","HERO_DESC":"Sammenkæd dine CSV-datalister baseret på en fælles nøglekolonne.","DATA_RECONCILIATION_DEF":"Hvad er dataafstemning?","DATA_RECONCILIATION_DEF_DESC_1":"Dataafstemning er processen med at sammenligne og afstemme data fra forskellige kilder. Denne proces sker typisk, når der findes flere kilder med relaterede oplysninger.","DATA_RECONCILIATION_DEF_DESC_2":"Disse kilder kan omfatte databaser, regneark, softwaresystemer eller endda manuelle registreringer. Målet er at afstemme dataene for at skabe ét pålideligt og konsistent datasæt.","DATA_RECONCILIATION_DEF_DESC_3":"Dataafstemning giver værdifuld indsigt til beslutningstagning, da den forbinder spredte data. Det bruges ofte i bogføring, lagerstyring, marketing m.m.","JOIN_TITLE":"Sammenkæd dine CSV-filer til én samling","JOIN_DESC_1":"Google Sheets eller Microsoft Excel er fine værktøjer til regnskabsopgaver, men mangler funktioner til datastyring. Andre specialiserede værktøjer findes til data scientists som ETL (Extract, Transform, Load), men de er ikke tilgængelige for ikke-tekniske personer.","JOIN_DESC_2":"I Datablist skal du blot angive den kolonne, der skal bruges til at konsolidere dine CSV-filer, og værktøjet klarer resten.","SEE_TUTO":"Se guide","TALK_TO_US_TEXT":"Prøv Datablist og se, hvor let listekonsolidering kan være. 18.000+ brugere oplever det allerede!","MERGE_TITLE":"Flet data fra flere kilder","MERGE_DESC_1":"I en digital verden er håndtering af lister en hyppig opgave. Uanset om du:","MERGE_EX_1":"At skabe et samlet overblik over dine kunder","MERGE_EX_2":"At oprette en liste over emner fra flere kilder","MERGE_EX_3":"At berige en mailingliste med kontaktoplysninger","MERGE_DESC_2":"Du får brug for et værktøj som Datablist til at flette og administrere dine data.","WHEN_COMBINE_DATA":"Hvornår bør du kombinere datafiler?","WHEN_COMBINE_TITLE_1":"Konsolider kundefiler","WHEN_COMBINE_DESC_1":"Konsolidering af kundefiler er afgørende for at skabe et samlet overblik over dine kunder. Når virksomheder interagerer med kunder på tværs af forskellige kontaktpunkter, såsom salg, marketing, kundesupport og onlineplatforme, bliver værdifulde data spredt i forskellige systemer og databaser. Sammenkæd dine kundedata ved hjælp af deres email-adresse eller en anden unik identifikator. Derefter har alle dine teams, såsom marketing, salg og kundeservice, adgang til dette samlede og fuldstændige overblik.","WHEN_COMBINE_TITLE_2":"Berig ordredata med produktkataloger","WHEN_COMBINE_DESC_2":"Inden for e-handel håndterer du to hovedlister: en liste over produkter og en liste over ordrer. Ordrelisten henviser til det købte produkt. Ved at konsolidere dine produktegenskaber med din ordreliste får du indsigt fra salget, såsom hvilke hovedkategorier der sælger. Du kan også konsolidere andre eksterne data såsom trafikstatistik fra dit website.","WHEN_COMBINE_TITLE_3":"Aggreger virksomhedsdata for at opbygge din emneliste","WHEN_COMBINE_DESC_3":"Når du bygger din emneliste, gælder: Jo mere data du har om virksomhederne, desto bedre kan du segmentere dine emner. Datakonsolidering er nyttig til at <doc>berige din emneliste</doc> med eksterne datakilder. Antal medarbejdere, seneste finansieringsrunde, omsætning og estimeret webtrafik. Med nøjagtige og opdaterede oplysninger om potentielle emner forbedrer du din scoring og reducerer den tid, der bruges på ikke-kvalificerede emner.","WHEN_COMBINE_LINK_3":"Lær mere om opbygning af emnelister","WHEN_COMBINE_TITLE_4":"Berig leads med marketingdata","WHEN_COMBINE_DESC_4":"Ved at bringe data sammen fra forskellige kilder, såsom website-analyse, sociale mediers nøgletal og kundeinteraktioner, får virksomheder et helhedsblik på deres målgruppe. En oplagt brug af datakonsolidering er at anvende resultater fra email-kampagner i din leads-liste. Fremhæv de leads, der åbner eller klikker på din email, og målret dem via andre kanaler som LinkedIn eller andre sociale netværk. Ved at berige leads med konsoliderede data forbedrer du dine konverteringer og undgår at bruge tid og penge på uinteresserede leads."},"FeatDuplicates":{"PAGE_TITLE":"Gratis værktøj til deduplikering","PAGE_DESC":"Deduplicer dine lister på én eller flere kolonner. No-Code konfiguration og nemt at bruge for ikke-tekniske brugere.","SEE_ALSO":"Se også","LEARN_MORE":"Lær mere","GET_STARTED":"Kom i gang!","FEATURE":"Funktion","NOSIGNUP":"Ingen tilmelding nødvendig","100%ONLINE":"100% online","EASY_TO_USE":"Nemt at bruge","NO_TECHNICAL_REQUIRED":"Ingen teknisk viden nødvendig","NOCODE_CONF":"No-Code konfiguration","EXPORT_CSV_TITLE":"Eksporter til CSV- eller Excel-filer","EXPORT_CSV_DESC_1":"Skal du overføre dine data til en anden applikation eller et regneark?","EXPORT_CSV_DESC_2":"<0>Dataene er altid dine</0>, eksporter blot udvalgte elementer eller hele din samling til en CSV-fil eller en Microsoft Excel-fil.","EXPORT_CSV_DESC_3":"Genererede CSV-filer er kompatible med Google Sheets og alle almindelige applikationer.","OK_GO":"Ok, lad os komme i gang!","RESOURCES":"Ressourcer","AI_TITLE":"AI-behandling af dubletter","AI_TEXT":"Generér nye data, redigér eksisterende information og byg systemer fra bunden med simple prompts.","CSV_EDITOR_DESCRIPTION":"En moderne CSV-editor til at håndtere dine CSV-filer online. Åbn og redigér dine data direkte i din browser","LEAD_BUILDING_DESCRIPTION":"Det bedste værktøj til at dykke ned i lead-lister i stor skala. Organisér, berig og find de perfekte prospects.","COMBINE_DESCRIPTION":"Kombinér listefiler fra flere kilder i én samling. Nemt at bruge og for ikke-tekniske brugere.","TALK_TO_US_TEXT":"Prøv Datablist og se, hvor let datamatchning og deduplikering af poster kan være. 18.000+ brugere oplever det allerede!","HERO_TITLE":"Gratis værktøj til at fjerne dubletter","DESCRIPTION":"Endelig et brugervenligt alternativ til Excel til deduplikering af data. Find, flet eller fjern dubletter i CSV- eller Excel-filer.","DEDUPLICATION_DEF_TITLE":"Hvad er deduplikering af data?","DEDUPLICATION_DEF_DESC_1":"Deduplikering af data, eller <doc>deduping</doc>, er processen med at fjerne dublerede poster fra et datasæt.","DEDUPLICATION_DEF_DESC_2":"Deduping er nødvendigt for at have en liste med unikke poster. I marketing med mailinglister, i lead generation eller kundehåndtering. Eller i e‑handel ved håndtering af produktkataloger. To poster er dubletter, når de refererer til den samme enhed. To leads med samme email-adresse, eller to produkter med samme stregkode.","DEDUPLICATION_DEF_DESC_3":"Dubletter påvirker kvaliteten af dine data og sænker din produktivitet. To løsninger findes for at slippe af med dubletter: slet dem, eller flet lignende poster til én.","DEDUPLICATION_DEF_DESC_4":"At slette dubletter er let; deduplikeringsalgoritmen finder dublerede poster og sletter alle undtagen én. At flette dubletter kræver, at man analyserer dublerede poster for at kombinere dem til én masterpost.","DUPLICATES_MODE_TITLE":"Fuld eller delvis analyse af poster i én eller flere datasamlinger","DUPLICATES_MODE_DESC_1":"Datablist Duplicates Finder virker enten med fuld post-sammenligning eller baseret på udvalgte felter.","DUPLICATES_MODE_DESC_2":"Brug Valgte felter-tilstand til at finde dubletkontakter baseret på deres email-adresse eller til at opdage dubletter i en liste over virksomheder via deres website‑URL.","DUPLICATES_MODE_DESC_3":"Datablist Duplicates Finder virker med én eller flere lister. På tværs af flere lister bruger deduplikeringsalgoritmen field mapping til at sammenligne poster på tværs af dine datasæt.","MERGE_TITLE":"Slet eller konsolider dubletter","DUPLICATES_PREVIEW_TITLE":"Forhåndsvisning af dubletter","DUPLICATES_PREVIEW_DESC_1":"Datablist viser de fundne dubletter, så du kan vælge, hvilken handling der skal udføres.","DUPLICATES_PREVIEW_DESC_2":"Åbn dubletposterne i detaljepanelet for at redigere og flette information. Eller slet blot dubletterne.","DUPLICATES_AUTO_MERGING_TITLE":"Flet automatisk ikke-konfliktende dubletter","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist finder automatisk alle dubletværdier, der kan flettes uden at miste information.","DUPLICATES_AUTO_MERGING_BULLET_1":"Når alle dubletposter har de samme feltværdier, beholdes kun én post og de andre slettes.","DUPLICATES_AUTO_MERGING_BULLET_2":"Hvis dubletposterne supplerer hinanden, vælges posten med mest information som primær, og dens feltværdier udfyldes ved hjælp af andre posters værdier. Derefter slettes alle poster undtagen den primære.","DUPLICATES_AUTO_MERGING_BULLET_3":"Hvis dubletposter har modstridende feltværdier, springes de over til manuel fletning.","MERGING_ASSISTANT_TITLE":"Eller gennemgå konfliktværdier manuelt med fletteassistenten","MERGING_ASSISTANT_DESC_1":"Når automatisk fletning ikke er mulig, kan du bruge Datablists fletteassistent til at vælge, hvilken værdi der skal bevares, og konsolidere dine poster.","MERGING_ASSISTANT_DESC_2":"Posten med mest information vælges som masterpost og modtager supplerende værdier fra sekundære poster.","DUPLICATES_DEDUPE_TITLE":"Brugervenligt DeDupe-værktøj","DUPLICATES_DEDUPE_DESC_0":"Nuværende deduplikeringsværktøjer er rettet mod tekniske brugere. De er svære at bruge med endeløse konfigurationsindstillinger.","DUPLICATES_DEDUPE_DESC_1":"Med Datablist bliver arbejdet med data nemt! Deduplikering af data er endelig tilgængelig for alle.","DUPLICATES_DEDUPE_DESC_2":"Deduplicer hundredtusindvis af poster direkte i din webbrowser.","DUPLICATES_AUTO_MERGE_TITLE":"Automatisk fletning under import","DUPLICATES_AUTO_MERGE_DESC_1":"Ud over Duplicates Finder kan du sætte en 'Unikke værdier'-indstilling på felter i din samling.","DUPLICATES_AUTO_MERGE_DESC_2":"Under dataimport, når en post fra den importerede fil findes i samlingen eller andre steder i filen, bliver dataene flettet eller slettet afhængigt af fletningstilstanden.","DATA_DEDUP_WHEN_TITLE":"Hvornår skal man bruge deduplikering af data?","DATA_DEDUP_WHEN_MAIL_TITLE":"Deduplikering af mailinglister","DATA_DEDUP_WHEN_MAIL_DESC_1":"Over tid vil flere kilder flyde ind i din mailingliste. Med webinar-deltagere, købere, freemium-brugere osv. kan en email-adresse optræde flere gange på din mailingliste.","DATA_DEDUP_WHEN_MAIL_DESC_2":"Dublette email-adresser påvirker dine marketingkampagner med ekstra omkostninger, spamagtig adfærd og risiko for brugerfrustration, hvis de fortsætter med at modtage emails efter afmelding fra en kampagne.","DATA_DEDUP_WHEN_MAIL_LINK":"Sådan rydder du op i en mailingliste","DATA_DEDUP_WHEN_EXCEL_TITLE":"Deduplikering i Microsoft Excel","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets, Microsoft Excel og andre regnearksværktøjer tilbyder basale deduplikeringsfunktioner. De fremhæver dubletværdier i en kolonne eller sletter dem. Brug Datablists automatiske fletning og den manuelle fletteassistent til at håndtere komplekse dubletposter.","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist åbner både CSV- og Excel-filer.","DATA_DEDUP_WHEN_EXCEL_LINK":"Sådan deduplikerer du en Excel-fil","DATA_DEDUP_WHEN_LEAD_TITLE":"Værktøj til deduplikering af leads og prospects","DATA_DEDUP_WHEN_LEAD_DESC_1":"I B2B marketing påvirker kvaliteten af din prospect-database resultaterne af dine kampagner. En rodet dataliste med <doc>duplicate leads</doc> øger lagringsomkostningerne, reducerer effektiviteten af lead-tracking og skaber frustration i dit salgsteam.","DATA_DEDUP_WHEN_LEAD_DESC_2":"Styr dine <doc>lead generation</doc>-processer med Datablist. Eller importér dine CRM-data eller lead-lister til Datablist for at rense dem.","DATA_DEDUP_WHEN_LEAD_LINK":"Sådan deduplikerer du lead-lister","DATA_DEDUP_WHEN_CSV_TITLE":"Dedupliker CSV-filer","DATA_DEDUP_WHEN_CSV_DESC_1":"Rensning af CSV-data er tidskrævende. Dataingeniører bruger programmeringssprog som Python til at parse og rense CSV-data. Datablist tilbyder et No-Code-værktøj til at udføre datarensningsprocesser med dine <a1>CSV-filer</a1> for ikke-tekniske brugere. <a2>Åbn CSV-filer med hundredtusindvis af rækker</a2> og dedupliker poster hurtigt.","DATA_DEDUP_WHEN_CSV_LINK":"Sådan deduplikerer du en CSV-fil","SEE_ALSO_CSV_EDITOR":"CSV-editor","SEE_ALSO_GUIDE_EXCEL":"Guide: Flet dubletrækker i en Excel-fil uden at miste data","SEE_ALSO_GUIDE":"Guide: Fjern CSV-dubletter","SEE_ALSO_GUIDE_LARGE_CSV":"Guide: Redigér store CSV-filer online","SEE_ALSO_COMBINE":"Kombinér CSV-filer","LEAD_LIST_BUILDING":"Byg, rens og berig dine lead-lister","FIND_DUPLICATE_ONLINE_TITLE":"Find og fjern dubletter online","FIND_DUPLICATE_ONLINE_DESC_1":"Find, flet og eliminér dubletter i dine data med det samme. Med en brugervenlig webgrænseflade får du problemfri adgang fra enhver enhed og undgår komplekse installationer.","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist bruger avancerede algoritmer til hurtigt at identificere dubletter, så du sparer tid og undgår fejl. Sig farvel til manuelle søgninger og goddag til et strømlinet workflow.","FUZZY_MATCHING_TITLE":"Deduplikering med fuzzy matching","FUZZY_MATCHING_ONLINE_DESC_1":"Fuzzy-deduplikeringsalgoritmer bestemmer afstanden mellem poster. Med en tærskel definerer du, hvornår to poster er ens. I modsætning til exact matching identificerer <0>fuzzy matching</0> intelligent variationer og håndterer slåfejl, forkortelser og små forskelle i dine poster.","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist implementerer <0>Levenshtein</0>- og <1>Jaro-Winkler</1>-afstandsalgoritmerne.","CONSOLIDATE_DUPES_TITLE":"Konsolider dubletter for at beholde én post","CONSOLIDATE_DUPES_DESC_1":"Når en simpel fletning ikke er nok, brug de avancerede funktioner: kombinér eller drop dubletværdier for at konsolidere dine dubletposter.","CONSOLIDATE_DUPES_DESC_2":"Datablist viser dine konfliktfelter og lader dig vælge, hvordan du vil håndtere dem. Brug Combine values til sammenkædning af data. Og Drop values for at beholde værdien fra én masterpost.","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"Brug Datablists AI Agent til at scrape enhver hjemmeside, automatisere Google-søgninger og udtrække strukturerede data med simple prompts. Ingen kode nødvendig.","FAQ_Q1":"Er Duplicates Finder gratis at bruge?","FAQ_A1":"Ja, du kan finde og flette dubletter online gratis. Basisfunktioner som exact og smart matching er tilgængelige uden en konto. For avancerede algoritmer som fuzzy eller fonetisk matching kræves en betalt plan.","FAQ_Q2":"Hvordan adskiller dette sig fra Excels 'Remove Duplicates'-funktion?","FAQ_A2":"Excel sletter permanent dubletrækker, hvilket kan få dig til at miste potentielt værdifulde data fra disse poster. Datablist fletter poster og kombinerer intelligent supplerende information fra alle dubletter til én komplet masterpost. Du mister ingen data.","FAQ_Q3":"Hvor stor en liste kan jeg deduplikere?","FAQ_A3":"Datablist er bygget til at håndtere store filer. Du kan behandle lister med op til 1 million rækker på gratisplanen og op til 1,5 millioner rækker på vores betalte planer, langt ud over begrænsningerne i traditionelle regnearksværktøjer.","FAQ_Q4":"Kan den finde dubletter med stavefejl eller små variationer?","FAQ_A4":"Absolut. Vores værktøj bruger avancerede fuzzy matching-algoritmer, såsom Levenshtein- og Jaro‑Winkler‑afstand, til at identificere lignende poster selv med misspellings, tastefejl eller små formateringsforskelle.","FAQ_Q5":"Hvordan håndterer den felter med flere værdier, som to emails i én celle?","FAQ_A5":"Det er den designet til. Du kan aktivere \"Multiple Value Matching\" for at behandle hver værdi i en celle (separeret med et semikolon) som en separat post til sammenligning. Den finder et match, selv hvis blot én af værdierne er en dublet.","FAQ_Q6":"Kan jeg finde dubletter på tværs af flere CSV- eller Excel-filer?","FAQ_A6":"Ja. Du kan importere flere filer til Datablist og køre Duplicates Finder på tværs af dem alle. Den kan matche poster baseret på en fælles identifikator, selvom filerne har forskellige kolonner eller strukturer.","FAQ_Q7":"Skal jeg kunne kode for at bruge det?","FAQ_A7":"Slet ikke. Datablist er en helt no-code løsning. Duplicates Finder guider dig gennem en enkel, trin-for-trin proces, hvor du vælger dine kolonner og matchregler fra en brugervenlig grænseflade.","FAQ_Q8":"Hvordan kan AI hjælpe med at flette dubletter?","FAQ_A8":"Vores AI Editing-funktion giver dig ubegrænset fleksibilitet. I stedet for standard fletningsregler kan du skrive instruktioner på almindeligt engelsk. For eksempel kan du bede den om at summere salgstal fra dubletposter eller vælge masterposten baseret på den seneste dato. Det omsætter kompleks logik til en simpel forespørgsel.","FAQ_Q9":"Hvad sker der med mine data, når jeg fletter dubletter?","FAQ_A9":"Datablist konsoliderer dine data i én masterpost. Den udfylder automatisk manglende information fra andre dubletter og giver dig muligheder for konflikter: du kan kombinere tekst fra forskellige rækker eller vælge, hvilken værdi der skal bevares. De redundante poster slettes derefter.","FAQ_Q10":"Hvilke matchalgoritmer er tilgængelige?","FAQ_A10":"Vi tilbyder flere algoritmer til forskellige behov: 'Exact' til identiske matches, 'Smart' til variationer som ordorden eller URL-protokoller, 'Phonetic' til navne, der lyder ens, og 'Fuzzy Matching' til tastefejl og stavefejl.","FAQ_Q11":"Kan jeg eksportere listen over dubletgrupper for at gennemgå dem før fletning?","FAQ_A11":"Ja. Når Datablist har identificeret alle dubletgrupperne, kan du eksportere dem til en CSV- eller Excel-fil før du foretager ændringer. Denne fil lister alle dubletposter fortløbende, med hver gruppe angivet efter hinanden, så de er nemme at gennemgå eksternt eller behandle med et andet værktøj.","FAQ_Q12":"Når jeg har flettet dubletter i Datablist, hvordan opdaterer jeg så mit CRM?","FAQ_A12":"Når du er færdig med at flette, giver Datablist en downloadbar 'Changes List'. Denne fil fungerer som en log, der beskriver hver post, der blev opdateret eller slettet under processen. Du kan bruge filen til nemt at replikere ændringerne i dit eksterne system, f.eks. et CRM, så dine data forbliver helt synkroniserede."},"CSVEditor":{"PAGE_TITLE":"Gratis online CSV Editor og Viewer","PAGE_DESC":"En moderne CSV Editor til at håndtere dine CSV-filer online. Åbn og rediger dine data direkte i din browser","HEADER_TITLE":"Online CSV Editor og Viewer","HEADER_DESC_1":"Udforsk og rediger dine CSV-filer med Leads, kunder eller produkter online.","NO_SIGNUP":"Ingen tilmelding nødvendig","ONLINE_100":"100% online","NO_CODE_CONFIG":"No-code-konfiguration","CSV_DEF_TITLE":"Hvad er en CSV-fil?","CSV_DEF_DESC_1":"CSV står for 'Comma Separated Value(s)' og er et format til at gemme strukturerede data i tekstfiler. I en CSV-fil er hver linje en datapost. Og hver post består af felter adskilt af kommaer (eller nogle gange af semikoloner ';' eller tabulator-tegn).","CSV_DEF_DESC_2":"CSV-filer er en almindelig måde at overføre data mellem applikationer. Fordi det bygger på tekstfiler, er CSV-formatet en enkel måde at eksportere data fra databaser eller regneark.","EDIT_TITLE":"Åbn CSV-filer online","EDIT_DESC_1":"Upload dine CSV-filer direkte i din webbrowser. Datablist CSV Editor registrerer automatisk CSV-kolonneafgrænseren.","EDIT_DESC_2":"Vælg de CSV-kolonner, der skal importeres, og definer datatyper: Text, LongText, Date, Number, Email address osv.","EDIT_DESC_3":"Når de er importeret, kan du bruge Datablist til at sortere på enhver egenskab og filtrere dine data med fuldtekstsøgning.","DATA_MANIP_TITLE":"Rens og konsolider dine CSV-filer","DATA_MANIP_DESC":"Stop med at bruge Excel eller Google Sheets til datamanipulation 😱!","WHY_USE_CSV_TITLE":"Hvorfor bruge Datablists CSV Editor?","WHY_USE_CSV_BLOC_TITLE_1":"Rens din mailingliste","WHY_USE_CSV_BLOC_DESC_1":"Email-lister er den perfekte måde at nå din brugerbase. Men med tiden bliver en liste rodet. Forbedr leveringsraten og spar penge med Datablist. Fjern dubletter og ugyldige email-adresser nemt.","WHY_USE_CSV_BLOC_TITLE_2":"Administrer dine produktkataloger","WHY_USE_CSV_BLOC_DESC_2":"Alle e-commerce-værktøjer tillader import/eksport af produktkataloger med CSV-filer. Uanset om det er at rense dit produktkatalog, før du sender det til Google Shopping, eller at konsolidere flere webshops i en enkelt collection, er Datablist skræddersyet til listings management.","WHY_USE_CSV_BLOC_TITLE_3":"Berig dine leads","WHY_USE_CSV_BLOC_DESC_3":"Har du en prospect-liste, du vil berige med email-adresser, jobtitler, LinkedIn-profil osv.? CRM-værktøjer er gode til at tracke og berige leads, når de har vist interesse. Men til prospect list building og scoring af et stort antal leads har de begrænsninger. Datablist er et perfekt tracking-værktøj til prospects.","WHY_USE_CSV_BLOC_TITLE_4":"Spor dine SEO-søgeord","WHY_USE_CSV_BLOC_DESC_4":"Bygger du en SEO-strategi? Brug Datablist til at gemme dine SEO-søgeord, liste dine konkurrenter, analysere månedligt søgevolumen og søgeordssværhedsgrad. Notér dine idéer til blogindlæg og hold øje med konkurrenters blogindlæg, der er værd at følge.","CSV_CLEANER_TITLE":"CSV Cleaner","CSV_CLEANER_DESCRIPTION":"CSV-filer kan være udsatte for fejl, inkonsistenser og formateringsproblemer, som gør dem svære at arbejde med og analysere. CSV-rensning er processen med at opdage og rette disse problemer i en CSV-fil, så dataene er nøjagtige, konsistente og korrekt formaterede.","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSV-deduplikering","CSV_CLEANER_TITLE_BLOC_DESC_1":"Data-deduplikering er en vigtig del af CSV-rensning. Med Datablist Duplicates Finder kan du sammenligne data baseret på alle tilgængelige kolonner eller selektivt vælge specifikke kolonner til sammenligning. Med sin avancerede algoritme kan værktøjet hurtigt scanne selv store datasæt og identificere dubletter på få sekunder. Ud over at identificere dublerede poster i dine CSV-filer tilbyder Datablist Duplicate Finder en kraftfuld fletningsfunktion. Den konsoliderer dublerede poster til én enkelt, korrekt post.","CSV_CLEANER_TITLE_BLOC_TITLE_3":"Konverter datatyper","CSV_CLEANER_TITLE_BLOC_DESC_3":"Konvertering af datatyper er en almindelig opgave i CSV-rensning. Det sikrer datanøjagtighed og konsistens ved at transformere dataværdier til standardiserede formater. Med konvertering af datatyper kan du ændre formatet på værdier i din CSV, så de matcher specifikke datatyper, såsom DateTime, Numbers eller Boolean. Konvertering af datatyper er vigtigt for at filtrere din CSV og transformere dine strengdata til standardiserede formater, der kan importeres i andre værktøjer.","CSV_CLEANER_TITLE_BLOC_TITLE_6":"Rens HTML-tags og fjern symboler","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablist leveres med et indbygget renseværktøj til at konvertere HTML-kode med tags til almindelig tekst. Andre renseværktøjer omfatter fjernelse af smileys og symboler fra tekster samt fjernelse af unødvendige mellemrum. Med alle disse renseværktøjer kan du forbedre læsbarheden og anvendeligheden af dine data. Ved at fjerne unødvendig støj og symboler bliver dine data mere klare og mere præcise.","CSV_CLEANER_TITLE_BLOC_TITLE_7":"Find og erstat","CSV_CLEANER_TITLE_BLOC_DESC_7":"Værktøjet 'Find og erstat' er perfekt til datarensningsopgaver. Søg efter specifikke værdier eller mønstre og erstat dem med de korrekte eller ønskede værdier. Dette hjælper med at rette stavefejl, formateringsinkonsistenser eller andre tastefejl, der kan forekomme i dine data. Brug det til standardisering af dine data. Søg efter forskellige variationer eller formater af en specifik værdi, og erstat dem med et standardiseret format.","CSV_MANIPULATION_TITLE":"Et kraftfuldt CSV-manipulationsværktøj","CSV_MANIPULATION_BLOC_TITLE_1":"Bulk Edit","CSV_MANIPULATION_BLOC_DESC_1":"Datablist Bulk Edit gør CSV-rensning enklere. Lav ændringer i flere poster på én gang. Anvend ændringer på hele collections, redigér filtrerede poster, eller bulk edit valgte poster. Det er et meget effektivt værktøj til at administrere og opdatere store datasæt. Med Datablist Bulk Edit kan du standardisere dine data. Anvend ensartet formatering og værdier på alle relevante poster.","CSV_MANIPULATION_BLOC_TITLE_2":"Skriv JavaScript-kode til datamanipulation","CSV_MANIPULATION_BLOC_DESC_2":"JavaScript er et kraftfuldt sprog, der kan bruges direkte i Datablist til at rense dine data. En af de vigtigste fordele ved at bruge JavaScript til CSV-rensning er fleksibiliteten. Regnearksværktøjer bruger formler, som kan være komplekse og langsomme. JavaScript kan bruges til at skrive custom scripts, der kan udføre et bredt spektrum af rensningsopgaver, fra simpel formatering og konvertering af datatyper til mere komplekse datatransformationer og analyser.","CSV_MANIPULATION_BLOC_TITLE_3":"Opdel og flet CSV-kolonner","CSV_MANIPULATION_BLOC_DESC_3":"Opdeling og fletning af CSV-kolonner er en nyttig teknik til CSV-rensning. Det hjælper dig med at omstrukturere og organisere dine data på en mere meningsfuld måde. Hvis du for eksempel har en enkelt kolonne, der indeholder flere dataværdier adskilt af en afgrænser, såsom et komma eller et semikolon, kan du opdele kolonnen i flere kolonner baseret på afgrænseren.","CSV_MANIPULATION_TITLE_4":"Sammenkør dine data fra flere CSV-filer","CSV_MANIPULATION_DESC_4":"Datasammenkøring er nemt med Datablist. Importer dine datakilder i flere collections. Vælg derefter fælles identifikatorer mellem listerne for at joine dem. Datablist har 'FULL OUTER JOIN' og 'LEFT OUTER JOIN' join-muligheder. Du kan konfigurere, hvordan modstridende data flettes. Spring over eller flet de importerede data.","CSV_ONLINE_EDITOR":"En online og samtidig kraftfuld CSV Editor","CSV_ONLINE_EDITOR_DESC_1":"Andre online CSV-editorer tilbyder simple funktioner til at åbne og se CSV-filer. Og for det meste er de proppet med annoncer. Datablist er en online CSV Editor, og alligevel bringer den kraftfulde funktioner til at åbne store CSV-filer uden at installere en app på din computer. Den udnytter din browsers muligheder til at lagre og behandle data.","CSV_ONLINE_EDITOR_DESC_2":"Du kan oprette en ny CSV-fil fra bunden, parse eksterne CSV-filer eller åbne Excel-filer. Når de er åbnet, kan du bruge det indbyggede filter- og sorteringsværktøj til at udforske dine data. Eller rense og redigere dine CSV-data. Og al datamanipulation er tilgængelig via en brugervenlig grænseflade direkte i din browser.","CROSS_OS_TITLE":"En CSV Editor til Windows, Mac OS og Linux","CROSS_OS_DESC_1":"Datablist CSV Editor er kompatibel med alle platforme og operativsystemer. Åbn dine CSV-filer online på Microsoft Windows, Mac OS og Linux","CROSS_OS_DESC_2":"Ved at udnytte kraften i moderne webbrowser-teknologier nedbryder vores app platformbarrierer. Dine data indlæses i en lokal database, der kører i din webbrowser. Med Cloud Synchronization holder Datablist dine data synkroniseret i skyen og på tværs af dine teammedlemmer.","PARSE_ONLINE_TITLE":"Parse og rediger CSV-filer online","PARSE_ONLINE_DESC_1":"Parse og rediger CSV-filer online uden besvær med vores intuitive app i lynhurtig hastighed. Parse, udtræk og organiser data fra dine CSV- (og Excel-)filer, alt sammen i en brugervenlig webbaseret grænseflade.","PARSE_ONLINE_DESC_2":"Sig farvel til komplekse installationer eller kompatibilitetsproblemer. Datablist sikrer problemfri CSV-parsing fra enhver enhed med internetforbindelse.","PARSE_ONLINE_DESC_3":"Datablist parser store CSV-filer på få sekunder, så du hurtigt kan begynde at udtrække værdifulde indsigter.","PARSE_ONLINE_DESC_4":"Rediger dine CSV-data direkte med Datablist, og eksporter til CSV- eller Microsoft Excel-format.","SEE_ALSO":"Se også","DATA_EDITOR":"Online Data Editor","DATA_EDITOR_DESC":"Kraftfuld online data editor til at administrere og manipulere forskellige dataformater ud over CSV-filer.","DUPLICATES_REMOVER":"Duplicates Remover","DUPLICATES_REMOVER_DESC":"Avanceret duplikatdetektering og -fjernelse med fuzzy matching og fletningsmuligheder.","COMBINE_CSV":"Kombinér CSV-filer","COMBINE_CSV_DESC":"Flet og konsolider flere CSV-filer ved hjælp af fælles identifikatorer og join-operationer.","EMAIL_CLEANING":"Rensning af email-lister","EMAIL_CLEANING_DESC":"Rens og valider email-lister for at forbedre leveringsraten og reducere bounce rate.","WHY_USE_CSV_BLOC_LINK_1":"Sådan renser du en email-liste","PROSPECT_LIST_BUILDING":"Prospect list building","GUIDE_DATA_CLEANING":"Se vores guide til datarensning","INVENTORY_MANAGEMENT_LINK":"Administrer din online-butiks lager og leverandørfeeds","DUPLICATES_FINDER_LINK":"Find og flet dubletter","AI_EDITING_LINK":"Opret scripts til datatransformation med AI"},"DataEditor":{"PAGE_TITLE":"Online dataeditor ","PAGE_DESC":"Kraftfuld online dataeditor til at håndtere CSV, Excel og strukturerede data. Rens, redigér og transformér dine data med avancerede værktøjer og et no-code interface.","HEADER_TITLE":"Online dataeditor","HEADER_DESC_1":"Administrér dine data med en kraftfuld online editor, der kombinerer regnearkets enkelhed med databasens muligheder.","HEADER_DESC_2":"Importér CSV- og Excel-filer, rens dine data, og eksporter resultaterne – alt sammen direkte i din browser.","NO_SIGNUP":"Ingen tilmelding nødvendig","ONLINE_100":"100% online","EASY_TO_USE":"Nem at bruge","WHAT_IS_TITLE":"Hvad gør Datablist anderledes?","WHAT_IS_DESC":"Regnearksværktøjer er begrænsede, når man arbejder med datalister. I modsætning til databaser har de ingen datastruktur eller begrænsninger. Datablist bringer databasefunktioner ind, mens brugervenligheden fra regneark bevares. Perfekt til datarensning, lead management og arbejde med strukturerede data.","EDIT_TITLE":"Importér og redigér dine datafiler","EDIT_DESC_1":"Upload CSV- og Excel-filer direkte i din browser. Datablist registrerer automatisk kolonnertyper og datastruktur.","EDIT_DESC_2":"Definér datatyper for hver kolonne: tekst, email, tal, dato, URL og mere.","EDIT_DESC_3":"Sortér, filtrér og søg i dine data med kraftfulde værktøjer designet til store datasæt.","EDIT_DESC_4":"Al behandling sker lokalt i din browser for maksimal hastighed og privatliv.","DATA_MANIP_TITLE":"Avanceret datamanipulation","DATA_MANIP_DESC":"Gå ud over grundlæggende regnearksoperationer med kraftfulde værktøjer til datarensning og konsolidering.","DATA_MANIP_BLOC_DUPLICATES_TITLE":"Find og flet dubletter","DATA_MANIP_BLOC_DUPLICATES_DESC":"Avanceret detektion af dubletter med fuzzy matching, fonetiske algoritmer og smart sammenfletning uden datatab.","DATA_MANIP_BLOC_CONSO_TITLE":"Kombinér flere filer","DATA_MANIP_BLOC_CONSO_DESC":"Flet CSV-filer ved hjælp af fælles id'er med JOIN-operationer som i databaser.","DUPLICATES_LINK":"Lær om fjernelse af dubletter","COMBINE_LINK":"Guide: Kombinér CSV-filer","NOCODE_TITLE":"No-code dataoperationer","NOCODE_DESC_1":"Udfør komplekse dataoperationer uden at skrive kode. Brug intuitive interfaces til datarensning, transformation og berigelse.","NOCODE_DESC_2":"Indbyggede værktøjer til bulk editing, find & replace, konvertering af datatyper og mere.","PRODUCTIVITY_TITLE":"Boost din produktivitet","PRODUCTIVITY_DESC":"Arbejd hurtigere med tastaturgenveje, bulk-operationer og strømlinede workflows designet til dataprofessionelle.","PRODUCTIVITY_BULLET_1":"Kopiér og indsæt fra ethvert regnearksværktøj","PRODUCTIVITY_BULLET_2":"Tastaturgenveje til power users","PRODUCTIVITY_BULLET_3":"Bulk-redigér flere elementer på én gang","PRODUCTIVITY_BULLET_4":"Fortryd/gendan for sikre dataoperationer","FEATURES_TITLE":"Database-drevne funktioner","DATABASE_FEATURES_TITLE":"Datastruktur og begrænsninger","DATABASE_FEATURES_DESC":"Definér datatyper, unikke constraints og valideringsregler. Sikr datakvalitet med indbygget validering.","EDITING_FEATURES_TITLE":"Avancerede redigeringsværktøjer","EDITING_FEATURES_DESC":"Bulk edit, find & replace med regex, konvertering af datatyper og JavaScript-scripting til komplekse transformationer.","SEARCH_FEATURES_TITLE":"Kraftfuld søgning","SEARCH_FEATURES_DESC":"Fuldtekstsøgning på tværs af alle kolonner med øjeblikkelige resultater – selv på store datasæt.","FILTER_FEATURES_TITLE":"Avanceret filtrering","FILTER_FEATURES_DESC":"Opret komplekse filterbetingelser med AND/OR-logik, gem filtre, og arbejd med filtrerede delmængder.","CLEANING_TITLE":"Værktøjskasse til datarensning","BULK_EDIT_TITLE":"Bulk edit-operationer","BULK_EDIT_DESC":"Redigér flere elementer på én gang med bulk-operationer: ændr store/små bogstaver, tilføj præfikser/suffikser, fjern symboler, konvertér HTML til tekst og meget mere.","BULK_EDIT_LINK":"Bulk edit-dokumentation","DATA_TYPES_TITLE":"Konvertering af datatyper","DATA_TYPES_DESC":"Konvertér tekst til tal, datoer, afkrydsningsfelter. Parse Unix-tidsstempler, normaliser talformater, og sikr datakonsistens.","DATA_TYPES_LINK":"Guide: Datakonvertering","JAVASCRIPT_TITLE":"JavaScript-scripting","JAVASCRIPT_DESC":"Skriv tilpasset JavaScript-kode til komplekse datatransformationer. Kald eksterne API'er og skab tilpassede workflows.","JAVASCRIPT_LINK":"JavaScript-dokumentation","FIND_REPLACE_TITLE":"Find & Replace","FIND_REPLACE_DESC":"Avanceret find og replace med regulære udtryk, mulighed for skelnen mellem store/små bogstaver og match på hele ord.","FIND_REPLACE_LINK":"Guide: Find & Replace","EXPORT_TITLE":"Eksportér dine rensede data","EXPORT_DESC":"Eksportér til CSV- eller Excel-format med dine foretrukne skilletegn og encoding. Perfekt til import i andre værktøjer eller deling med dit team.","SEE_ALSO":"Relaterede værktøjer","CSV_EDITOR":"CSV Editor","CSV_EDITOR_DESC":"Specialiseret CSV-editor med avancerede funktioner til filer med kommaseparerede værdier.","DUPLICATES_REMOVER":"Dubletfjerner","DUPLICATES_REMOVER_DESC":"Avanceret detektion og fjernelse af dubletter med fuzzy matching-algoritmer.","COMBINE_CSV":"Kombinér CSV-filer","COMBINE_CSV_DESC":"Flet flere CSV-filer med JOIN-operationer i database-stil.","ENRICHMENTS":"Databerigelser","ENRICHMENTS_DESC":"Berig dine data med eksterne API'er til virksomhedsoplysninger, email-validering og mere."},"ToolsCommon":{"HOME":"Hjem","BREADCRUMB_NAV":"Brødkrummenavigation","BREADCRUMB_TITLE":"Værktøjer","OPEN_TOOL":"Åbn værktøj","OTHER_TOOLS_TITLE":"Andre værktøjer","RELATED_TOOLS_TITLE":"Relaterede værktøjer","UI":{"BROWSE":"Gennemse","CLEAR":"Ryd","COPIED":"Kopieret","COPY_CSV":"Kopiér CSV","DOWNLOAD_CSV":"Download CSV","INPUT":"Input","OUTPUT_PREVIEW":"Forhåndsvisning af output","PREVIEW":"Forhåndsvisning","REPLACE":"Erstat","SETTINGS":"Indstillinger","SPLIT_MODE":"Split-tilstand","UPLOAD_CSV_FILE":"Upload en CSV-fil","UPLOAD_JSON_FILE":"Upload en JSON-fil"},"TOOLS":{"JSON_TO_CSV":{"NAME":"JSON til CSV-konverter","DESCRIPTION":"Konvertér nested JSON, API-svar, blandede arrays og object-tunge payloads til en ren CSV med registrering af row nodes, selektiv flattening og avancerede parsing-kontroller."},"CSV_DIFF":{"NAME":"CSV Diff Tool","DESCRIPTION":"Sammenlign to CSV-filer online, match rækker efter id eller email, registrér tilføjede, fjernede, ændrede og uændrede rækker, og download en struktureret diff-CSV."},"CSV_ROWS_SPLITTER":{"NAME":"CSV Rows Splitter","DESCRIPTION":"Opdel celler med flere værdier i separate rækker. 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Dette værktøj bruger standardindstillingerne."}},"ToolsPage":{"PAGE_TITLE":"Datablist Tools","PAGE_DESC":"Udforsk Datablist-værktøjer til JSON, CSV og workflows med rodet data, herunder CSV diff og avanceret konvertering fra JSON til CSV til store og rodede eksporter.","CATEGORY":"Datablist Tools","HEADER_TITLE":"Smukke værktøjer til grimme data","HEADER_DESC":"Et voksende udvalg af fokuserede værktøjer til JSON, CSV og rodet data fra den virkelige verden. Hvert værktøj er designet som et produkt, ikke som en hurtig engangsformular.","ITEMLIST_NAME":"Datablist Tools","ITEMLIST_DESC":"En samling af Datablist-værktøjer til JSON, CSV og workflows til datakonvertering.","LISTING":{"FILES":{"TITLE":"Rens og transformér filer","CARDS":{"JSON_TO_CSV":{"DESCRIPTION":"Konvertér indlejret JSON eller API-svar til en ren CSV-fil."},"CSV_DIFF":{"DESCRIPTION":"Sammenlign to CSV-filer, og eksportér tilføjede, fjernede eller ændrede rækker."},"CSV_ROWS_SPLITTER":{"DESCRIPTION":"Opdel CSV-celler med flere værdier, så hver værdi får sin egen række."},"CSV_SPLITTER":{"DESCRIPTION":"Opdel en CSV-fil efter rækker, størrelse, værdier, regler eller datointervaller."}}},"LEADS":{"TITLE":"Find og klargør leads","CARDS":{"DOMAIN_FINDER":{"TITLE":"Finder til virksomhedsdomæner","DESCRIPTION":"Find webdomæner ud fra en liste over virksomhedsnavne."},"SALES_NAVIGATOR_SCRAPER":{"TITLE":"Sales Navigator Scraper","DESCRIPTION":"Se en forhåndsvisning af leads fra en søge-URL til Sales Navigator eller LinkedIn."},"EMAIL_FINDER":{"TITLE":"Email finder til arbejdsadresser","DESCRIPTION":"Find en arbejds-email ved hjælp af et navn og en virksomhed eller en LinkedIn-profil."},"COMPANY_NAME_CLEANER":{"TITLE":"Oprydning af virksomhedsnavne","DESCRIPTION":"Fjern juridiske selskabsbetegnelser, ret brugen af store og små bogstaver, og markér dubletter."},"INSTAGRAM_FOLLOWER_SCRAPER":{"TITLE":"Instagram Follower Scraper","DESCRIPTION":"Se et udvalg af følgere fra URL'en eller brugernavnet til en Instagram-profil."},"LINKEDIN_PROFILE_SCRAPER":{"TITLE":"Gratis LinkedIn Profile Scraper","DESCRIPTION":"Gratis online scraper til LinkedIn-profiler. Indsæt en vilkårlig profil-URL, og udtræk gratis op til 40 offentlige datapunkter. Kræver hverken login, cookies eller sessions-id."}}}},"KEYWORDS":["datablist tools","json tools","csv tools","json to csv tools","csv diff tool","csv splitter tool","data conversion tools"]},"ToolsJsonToCsv":{"PAGE_TITLE":"JSON til CSV-konverter","PAGE_DESC":"Gratis online JSON til CSV-konverter til nested JSON, store filer, API-svar og komplekse eksporter. Vælg row nodes, flatten objekter, forhåndsvis resultatet, og download CSV direkte i din browser.","SCHEMA_NAME":"Datablist JSON til CSV-konverter","SCHEMA_DESC":"Gratis online JSON til CSV-konverter til nested data, store filer, registrering af row nodes, flatten-kontroller og behandling direkte i browseren.","TOOL":{"EMPTY_SOURCE_LABEL":"Indsæt JSON eller upload en fil","ERROR_MISSING_SOURCE":"Indsæt først en JSON-payload eller upload en JSON-fil.","NO_PREVIEW_DESC":"Upload en JSON-fil eller indsæt JSON for at generere en CSV-preview.","NO_PREVIEW_TITLE":"Ingen preview endnu","OVERLAY_DESC":"Filen bliver behandlet lokalt og vist som preview med det samme.","OVERLAY_TITLE":"Slip din JSON-fil her","PASTE_LABEL":"Indsæt JSON","PASTED_LABEL":"Indsat JSON","STATUS_COLUMNS_REFRESHED":"Kolonner opdateret","STATUS_FAILED":"Konvertering mislykkedes","STATUS_PARSING":"Parser JSON","STATUS_PREVIEW_READY":"Preview klar","STATUS_PREVIEW_UPDATED":"Preview opdateret","STATUS_REFRESHING_COLUMNS":"Opdaterer fundne kolonner","STATUS_UPDATING_PREVIEW":"Opdaterer CSV-preview","STATUS_WAITING":"Venter på input","SUBMIT_LABEL":"Konvertér JSON","UI":{"CHAR_COUNT":"{count} tegn","JSON_PARSING":"JSON-parsing","PARSING_SIMPLE_DESC":"Standardparsingen fungerer til denne JSON. Åbn kun, hvis du vil tilpasse den.","PARSING_COMPLEX_DESC":"Der er registreret kompleks JSON. 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Forhåndsvisningen vises her med den registrerede rækkekilde og de anvendte regler for udvidelse.","PREVIEW_LIMIT":"Forhåndsvis op til 100 rækker. Download for at få hele CSV-filen.","ROWS":"Rækker","COLUMNS":"Kolonner","ERRORS":"Fejl"}},"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":"Indsæt din JSON. Få en ren CSV på få sekunder.","SEO_HERO_DESC":"En gratis online JSON til CSV-konverter til filer, som normalt får enklere værktøjer til at bryde sammen: nested objekter, blandede arrays og store payloads. Dine data bliver på din egen maskine.","INTRO_TITLE":"Nested JSON til CSV-konverter til API-svar og komplekse eksporter","INTRO_PARAGRAPHS":["De fleste værktøjer fejler, medmindre din JSON starter med et fladt array. Men data fra den virkelige verden kommer rodet. API-svar, webhook-payloads, CRM-eksporter og scraped filer indeholder nested objekter, metadata og blandede strukturer. Vi har bygget dette værktøj til at håndtere dem.","Vælg dine row nodes, vælg hvilke objekter der skal flattenes, og angiv regler for arrays. Forhåndsvis og download derefter din CSV. Hvis du leder efter den bedste JSON til CSV-konverter til data fra den virkelige verden, er det præcis det, vi har bygget denne til."],"EXAMPLES":{"API":{"TITLE":"Eksempel: Konvertér et nested API-svar til CSV","DESCRIPTION":"Ofte fungerer JSON-roden som et objekt, og dine rækker gemmer sig i et nested array som `results` eller `data`. Hvor simple konvertere fejler, registrerer vores arrayet, flattener strukturen og eksporterer en ren CSV.","JSON_LABEL":"Nested JSON-input","CSV_LABEL":"CSV-output"},"CONTACTS":{"TITLE":"Eksempel: Udtræk et nested contacts-array","DESCRIPTION":"Nogle payloads indeholder flere arrays. Du vil måske have parent-records eller et dybere array som contacts. Brug row node-vælgeren til at målrette det præcise array, du har brug for, og eksportér netop de rækker.","JSON_LABEL":"JSON med flere arrays","CSV_LABEL":"CSV-output til contacts"}},"PARSING_SETTINGS":{"TITLE":"Indstillinger for JSON-parsing","ITEMS":[{"TITLE":"Row nodes","BODY":"Vælg det array, der skal danne dine CSV-rækker. Brugbare data ligger sjældent i roden. Hvis din JSON indeholder flere arrays, kan du bruge denne kontrol til at vælge det rigtige."},{"TITLE":"Flatten nested objects","BODY":"Udvid objekter som `company` eller `metrics` til individuelle kolonner. Vælg specifikke objekter, der skal flattenes, så din CSV forbliver organiseret og du undgår dublerede felter."},{"TITLE":"Array handling","BODY":"Saml arrays med en separator, formatér dem som JSON-strenge, eller brug tilpassede regler. Du kan holde tags samlet, lade komplekse arrays stå som JSON eller kun udtrække det første element fra en liste."},{"TITLE":"Case-by-case array rules","BODY":"Anvend specifikke regler på forskellige arrays. Sæt én regel for tags og en anden for contacts. Standardkonvertere behandler alle arrays ens, men her får du præcis kontrol over dit endelige output."}]},"OUTPUT_SETTINGS":{"TITLE":"Indstillinger for CSV-output","ITEMS":[{"TITLE":"Separator","BODY":"Eksportér med komma, semikolon, pipe, tabulator eller en tilpasset separator. Match præcis det skilletegn, dit målsystem kræver."},{"TITLE":"Include header row","BODY":"Vælg om din CSV skal indeholde kolonnenavne i første række. Fjern headers for at eksportere rå datarækker til en anden pipeline."},{"TITLE":"Date output format","BODY":"Omformatér datoer før du eksporterer. Generér en CSV, der er klar til regneark eller BI-værktøjer uden manuelle rettelser."},{"TITLE":"Preview before download","BODY":"Kontrollér dit valg af rækker, flattende kolonner og array-regler i previewet, før du downloader filen."}]},"ROW_NODES":{"TITLE":"Sådan vælger du de rigtige row nodes","PARAGRAPHS":["Valg af det korrekte array sikrer en præcis konvertering. JSON-filer indeholder ofte wrapper-objekter, metadata og nested arrays. Simple konvertere vælger det første array, de finder, og returnerer derfor ofte forkerte data.","Brug indstillingen Row nodes til at vælge dit target-array. Hvis du vil have én række pr. virksomhed, vælger du parent-recorden. Hvis du vil have én række pr. contact, vælger du child-arrayet.","Denne funktion udtrækker forretningsdata fra rodede API-payloads, CRM-eksporter og webhook-logs."]},"LARGE_FILES":{"TITLE":"Konvertér store JSON-filer til CSV","PARAGRAPHS":["Har du brug for at konvertere en stor JSON til CSV, eller arbejde med en stor JSON-fil, som andre værktøjer ikke kan håndtere? Denne side er bygget med netop det use case i tankerne.","Du kan arbejde med store payloads, stadig inspicere et preview af den genererede CSV og derefter downloade den fulde eksport. Previewet hjælper dig med at bekræfte row nodes, flattende kolonner og array-regler, før du går videre med den endelige fil.","Hvis du har søgt efter “convert large JSON to CSV”, “JSON to CSV large file” eller “convert big JSON file to CSV”, er det præcis den type workflow, dette værktøj er designet til at håndtere."]},"PRIVACY":{"TITLE":"JSON til CSV online, uden at sende dine data væk","PARAGRAPHS":["Dette er en online JSON til CSV-konverter, men din fil uploades ikke til en ekstern server for parsing. Behandlingen sker lokalt i din browser.","Det er vigtigt, når du arbejder med kundedata, CRM-data, API-svar, interne logs eller andet, som du helst ikke vil sende videre bare for at konvertere det.","Kort sagt: det er hurtigt, det er praktisk, og det holder dine data mere sikre, fordi konverteringen bliver på din egen maskine."]},"USE_CASES_TITLE":"Hvornår du skal bruge dette værktøj","USE_CASES":[{"TITLE":"Konvertér JSON API-svar til CSV","BODY":"Eksportér data fra API'er, hvor records ligger i nested felter sammen med metadata."},{"TITLE":"Konvertér nested JSON til flade CSV-kolonner","BODY":"Gør nested virksomhedsdetaljer, adresseblokke og omsætningsdata til rene kolonner i regneark."},{"TITLE":"Udtræk nested arrays fra JSON","BODY":"Målret og eksportér dybere arrays som contacts, line items eller events ved hjælp af row node-vælgeren."},{"TITLE":"Konvertér CRM- eller webhook-JSON-eksporter til CSV","BODY":"Klargør HubSpot-eksporter, interne API-payloads og webhook-logs til Excel eller BI-værktøjer."},{"TITLE":"Håndtér arrays forskelligt i den samme JSON-fil","BODY":"Saml simple tags, behold det første element i en liste, eller stringify komplekse strukturer i den samme fil."},{"TITLE":"Klargør CSV til Excel, Sheets eller importer","BODY":"Juster separatorer, slå headers til eller fra, og formatér datoer, så din CSV matcher dit destinationssystem."},{"TITLE":"Konvertér store JSON-filer uden at miste overblikket","BODY":"Arbejd med store JSON-filer, behold et live preview af outputtet, og download den fulde CSV, når strukturen ser rigtig ud."},{"TITLE":"Brug en gratis online JSON til CSV-konverter","BODY":"Åbn siden, indsæt eller upload din JSON, gennemgå resultatet, og download CSV'en gratis uden at installere noget."}],"FAQ_TITLE":"FAQ: konvertering af kompleks JSON til CSV","FAQ_ITEMS":[{"QUESTION":"Er dette en gratis JSON til CSV-konverter?","ANSWER":"Ja. Denne JSON til CSV-konverter er gratis at bruge."},{"QUESTION":"Kan jeg konvertere en nested JSON-fil til CSV?","ANSWER":"Ja. Vælg de korrekte row nodes, vælg objekter der skal flattenes, og eksportér dine data."},{"QUESTION":"Kan jeg konvertere et JSON API-svar til CSV, når rækkerne ligger i et nested array?","ANSWER":"Ja. Vælg det nested array, ofte kaldet `results`, `items` eller `data`, og værktøjet bygger din CSV ud fra de records."},{"QUESTION":"Hvad gør indstillingen Row nodes?","ANSWER":"Den bestemmer, hvilket array der danner dine CSV-rækker. Brug den til at omgå root-objekter og målrette præcis de data, du har brug for."},{"QUESTION":"Kan jeg konvertere en stor JSON-fil til CSV?","ANSWER":"Ja. Værktøjet er bygget til at håndtere store payloads og samtidig give dig et preview af den genererede CSV, før du downloader den fulde fil."},{"QUESTION":"Kan jeg vælge, hvilke objekter der skal flattenes?","ANSWER":"Ja. Vælg specifikke objektstier, der skal udvides til kolonner. Objekter, der ikke er valgt, forbliver som JSON-strenge, så din eksport forbliver ren."},{"QUESTION":"Er denne JSON til CSV-konverter online og sikker?","ANSWER":"Ja. Den kører online i din browser, men parsing og konvertering sker lokalt på din maskine i stedet for at blive sendt til en server."},{"QUESTION":"Kan jeg anvende forskellige regler på forskellige arrays?","ANSWER":"Ja. Brug case-by-case mode til at samle, stringify eller reducere arrays pr. felt."},{"QUESTION":"Hvad gør denne til en af de bedste JSON til CSV-konvertere?","ANSWER":"Den er bygget til de rodede cases, som folk faktisk kæmper med: nested JSON, flere mulige arrays, selektiv flattening, regler pr. array, store filer, live preview og lokal behandling for bedre privatliv."}],"OTHER_TOOLS_DESC":"Har du brug for et andet værktøj efter at have konverteret JSON? Disse værktøjer dækker relaterede data-workflows som struktureret sammenligning og diff-visninger, der er nemme at auditere."},"ToolsCsvDiff":{"PAGE_TITLE":"CSV Diff Tool","PAGE_DESC":"Gratis online CSV diff-værktøj til at sammenligne to CSV-filer, finde tilføjede, fjernede og ændrede rækker, få vist forskelle på celleniveau, vælge join- og key column-indstillinger og downloade resultatet direkte i din browser.","SCHEMA_NAME":"Datablist CSV Diff Tool","SCHEMA_DESC":"Gratis online CSV-sammenligningsværktøj til tilføjede, fjernede, ændrede og uændrede rækker med behandling i browseren og CSV diff-output, der kan downloades.","TOOL":{"ERROR_MISSING_SOURCE":"Upload begge CSV-filer for at sammenligne dem.","FILE_EMPTY_HELP":"Upload eller slip en fil","FILE_EMPTY_NAME":"Vælg en CSV-fil","FILE_LOADED":"Indlæst","HELP_TEXT":"Upload to CSV-filer, vælg hvordan rækker skal matches, og få derefter vist diffen her. Alt kører lokalt i din browser.","ORIGINAL_FILE_DESC":"Den tidligere eksport, snapshot eller baseline-fil.","ORIGINAL_FILE_TITLE":"Original CSV","OVERLAY_DESC":"Slip først den originale fil, derefter den opdaterede.","OVERLAY_TITLE":"Slip dine CSV-filer her","STATUS_COMPARISON_FAILED":"Sammenligning mislykkedes","STATUS_FILES_READY":"Filer indlæst. Klar til sammenligning.","STATUS_PREVIEW_READY":"Preview klar","STATUS_WAITING":"Upload to CSV-filer for at få vist diffen.","SUBMIT_LABEL":"Sammenlign CSV-filer","UPDATED_FILE_DESC":"Den nyere eksport, du vil sammenligne med originalen.","UPDATED_FILE_TITLE":"Opdateret CSV","UI":{"COLUMNS_MAPPING":"Kolonnetilknytning","MAP_COLUMNS_THAT_CONTAIN_THE_SAME_DATA_WHEN":"Knyt kolonner, der indeholder de samme data, sammen, når de to CSV-filer bruger forskellige kolonnenavne.","ONLY_MAPPED_COLUMNS_ARE_USED_FOR_MATCHING_AND":"Kun tilknyttede kolonner bruges til matching og sammenligning. Ikke-tilknyttede kolonner forbliver synlige, når du udvider en række.","ORIGINAL_COLUMN":"Oprindelig kolonne","DO_NOT_COMPARE_THIS_COLUMN":"Sammenlign ikke denne kolonne","UNMAPPED_UPDATED_ONLY_COLUMNS":"Ikke-tilknyttede kolonner, der kun findes i den opdaterede fil:","MATCHING":"Matching","CHOOSE_HOW_ROWS_SHOULD_BE_MATCHED_BETWEEN_THE":"Vælg, hvordan rækker skal matches mellem den oprindelige og den opdaterede CSV-fil.","ROW_MATCHING_MODE":"Metode til matching af rækker","USE_A_KEY_COLUMN_WHEN_BOTH_FILES_SHARE":"Brug en nøglekolonne, når begge filer har en stabil identifikator. Brug sammenligning af hele rækken, hvis de ikke har.","AUTO_DETECT":"Registrer automatisk","SELECTED_KEY_COLUMN":"Valgt nøglekolonne","MULTIPLE_KEY_COLUMNS":"Flere nøglekolonner","FULL_ROW_CONTENT":"Hele rækkens indhold","CURRENT_MATCH_MODE":"Aktuel matchingmetode:","KEY_COLUMN":"Nøglekolonne","AUTO_DETECT_PREFERS_COLUMNS_LIKE_ID_EMAIL_SKU":"Automatisk registrering foretrækker kolonner som id, email, sku eller fælles felter med mange unikke værdier.","USE_DETECTED_SUGGESTION":"Brug det registrerede forslag","MULTIPLE_KEYS":"Flere nøgler","COMBINE_SHARED_COLUMNS_WHEN_ONE_COLUMN_ALONE_IS":"Kombiner fælles kolonner, når én kolonne alene ikke er unik nok.","JOIN_TYPE":"Join-type","FULL_OUTER_JOIN_SHOWS_EVERYTHING_INNER_JOIN_SHOWS":"Full outer join viser alt. Inner join viser kun matchede rækker. Left join bruger de oprindelige rækker som grundlag.","FULL_OUTER_JOIN":"Full outer join","INNER_JOIN":"Inner join","LEFT_JOIN":"Left join","COMPARISON":"Sammenligning","NORMALIZE_VALUES_BEFORE_DIFFING_TO_AVOID_NOISE_FROM":"Normaliser værdier før sammenligningen for at undgå støj fra ændringer, der kun vedrører formatering.","IGNORE_COLUMN_ORDER":"Ignorer kolonnerækkefølge","WHEN_ENABLED_COLUMNS_ARE_ALIGNED_BY_NAME_INSTEAD":"Når dette er aktiveret, justeres kolonner efter navn i stedet for position.","COMPARE_COLUMNS_BY_NAME":"Sammenlign kolonner efter navn","IGNORE_WHITESPACE":"Ignorer blanktegn","TRIM_LEADING_AND_TRAILING_WHITESPACE_BEFORE_COMPARING_CELL":"Fjern indledende og afsluttende blanktegn, før celleværdier sammenlignes.","TREAT_EXTRA_SPACES_AS_UNCHANGED":"Betragt ekstra mellemrum som uændrede","IGNORE_CASE":"Ignorer store og små bogstaver","USEFUL_WHEN_THE_SAME_VALUES_APPEAR_WITH_MIXED":"Nyttigt, når de samme værdier forekommer med forskellige kombinationer af store og små bogstaver.","COMPARE_TEXT_CASE_INSENSITIVELY":"Sammenlign tekst uden at skelne mellem store og små bogstaver","EMPTY_AND_NULL_LIKE_VALUES":"Tomme og null-lignende værdier","TREAT_EMPTY_STRINGS_NULL_UNDEFINED_AND_SIMILAR_PLACEHOLDER":"Betragt tomme strenge, null, undefined og lignende pladsholderværdier som ens.","NORMALIZE_EMPTY_AND_NULL_LIKE_VALUES":"Normaliser tomme og null-lignende værdier","OUTPUT":"Output","CHOOSE_WHAT_TO_EXPORT_AND_HOW_THE_DOWNLOADABLE":"Vælg, hvad der skal eksporteres, og hvordan den CSV-fil, der kan downloades, skal formateres.","OUTPUT_MODE":"Outputtype","SUMMARY_KEEPS_ONE_ROW_PER_RECORD_CHANGED_ROWS":"Oversigten beholder én række pr. post. Ændrede rækker fokuserer kun på redigeringer. Den fulde diff viser værdier side om side.","SUMMARY_CSV":"CSV-oversigt","CHANGED_ROWS_CSV":"CSV med ændrede rækker","FULL_DIFF_CSV":"CSV med fuld diff","DOWNLOAD_SEPARATOR":"Separator i download","CHOOSE_THE_DELIMITER_USED_IN_THE_DOWNLOADABLE_DIFF":"Vælg den separator, der bruges i den CSV-diff, som kan downloades.","INCLUDE_UNCHANGED_ROWS":"Medtag uændrede rækker","KEEP_UNCHANGED_ROWS_IN_THE_DOWNLOADABLE_OUTPUT_WHEN":"Behold uændrede rækker i det downloadbare output, når du har brug for en komplet gennemgang post for post.","INCLUDE_UNCHANGED_ROWS_IN_EXPORT":"Medtag uændrede rækker i eksporten","INCLUDE_HEADER_ROW":"Medtag kolonneoverskrifter","INCLUDE_COLUMN_HEADERS_IN_THE_DOWNLOADABLE_CSV":"Medtag kolonneoverskrifter i den CSV-fil, der kan downloades.","ADD_CSV_HEADER_ROW":"Tilføj række med CSV-kolonneoverskrifter","CSV_DIFF":"CSV-diff","DIFF_PREVIEW":"Forhåndsvisning af diff","DOWNLOAD_DIFFERENCES_CSV":"Download CSV med forskelle","DATA_TABLE":"Datatabel","CHANGED_ROWS":"Ændrede rækker","SEARCH_VISIBLE_ROWS":"Søg i synlige rækker","COMPARISON_ERROR":"Fejl under sammenligning","LARGE_CSV_FILES_STAY_IN_YOUR_BROWSER_WHILE":"Store CSV-filer forbliver i din browser, mens processen parser dem og beregner forskellene.","PREVIEW_THE_CSV_DIFF_HERE":"Forhåndsvis CSV-diffen her","UPLOAD_TWO_CSV_FILES_CHOOSE_HOW_ROWS_SHOULD":"Upload to CSV-filer, vælg, hvordan rækker skal matches, så viser tabellen tilføjede, fjernede, ændrede og uændrede rækker.","NO_ROWS_MATCH_THE_CURRENT_PREVIEW_FILTER":"Ingen rækker matcher det aktuelle filter i forhåndsvisningen.","STATUS":"Status","ROW_NUMBER":"Rækkenummer","EXPLAIN_ROW_NUMBER_FORMAT":"Forklar formatet for rækkenumre","KEY":"Nøgle","LOAD_MORE_ROWS":"Indlæs flere rækker","END_OF_CURRENT_RESULT_SET":"Slutningen af det aktuelle resultatsæt","WARNINGS":"Advarsler","CHANGED":"Ændret","ADDED":"Tilføjet","REMOVED":"Fjernet","UNCHANGED":"Uændret","PROCESSING":"Behandler","ORIGINAL_SEPARATOR":"Oprindelig separator:","UPDATED_SEPARATOR":"Opdateret separator:","MATCHED_BY":"Matchet efter:","ORIGINAL_ROWS":"Oprindelige rækker:","UPDATED_ROWS":"Opdaterede rækker:","SUMMARY":"Oversigt","MAPPED_COLUMNS":"Tilknyttede kolonner:","UNMAPPED_COLUMNS":"Ikke-tilknyttede kolonner:","DUPLICATE_KEY_ROWS_FLAGGED":"Rækker med dublerede nøgler markeret:","PREVIEW_COLUMNS":"Kolonner i forhåndsvisningen:","PARSING_ORIGINAL_CSV":"Parser den oprindelige CSV","PARSING_UPDATED_CSV":"Parser den opdaterede CSV","MATCHING_ROWS":"Matcher rækker","COMPUTING_DIFFERENCES":"Beregner forskelle","FILTER_ALL":"Alle","STATUS_ALL":"alle","FILTER_CHANGED":"Ændrede","STATUS_CHANGED":"ændret","FILTER_ADDED":"Tilføjede","STATUS_ADDED":"tilføjet","FILTER_REMOVED":"Fjernede","STATUS_REMOVED":"fjernet","FILTER_UNCHANGED":"Uændrede","STATUS_UNCHANGED":"uændret","COPIED":"Kopieret","COPY_FAILED":"Kopiering mislykkedes","COPY_DIFFERENCES_CSV":"Kopiér CSV med forskelle","FULL_ROW":"Hele rækken","FULL_ROW_CONTENT_2":"hele rækkens indhold","ROW_NUMBER_TOOLTIP":"{original} række : {updated} række.","ORIGINAL_VALUE_HEADER":"{file} – oprindelig","UPDATED_VALUE_HEADER":"{file} – opdateret","ROWS_CHANGED_PERCENT":"{percent}% af rækkerne er ændret","NO_CELL_CHANGES":"Ingen celleændringer","NO_CHANGED_CELLS":"Ingen ændrede celler.","SHOWING_ROWS":"Viser {visible} af {total} rækker","SEPARATOR_OPTION_COMMA":"Komma (,)","SEPARATOR_COMMA":"Komma","SEPARATOR_OPTION_SEMICOLON":"Semikolon (;)","SEPARATOR_SEMICOLON":"Semikolon","SEPARATOR_OPTION_PIPE":"Lodret streg (|)","SEPARATOR_PIPE":"Lodret streg","SEPARATOR_OPTION_TAB":"Tabulator (\\t)","SEPARATOR_TAB":"Tabulator","ROW_ONLY_UPDATED":"Denne række findes kun i den opdaterede CSV.","ROW_ONLY_ORIGINAL":"Denne række findes kun i den oprindelige CSV.","COLUMN_NEW":"ny kolonne","COLUMN_DELETED":"slettet kolonne","COLUMNS_CHANGED":"{count, plural, one {# kolonne ændret} other {# kolonner ændret}}","COLUMN_SAME":"samme"}},"KEYWORDS":["csv diff online","compare csv files online","csv comparison tool","compare two csv files online","compare csv by id","compare csv by key column","csv diff row numbers","compare csv row numbers","csv diff join type","full outer join csv compare","csv diff ignore case","csv diff ignore whitespace","csv diff utf-8","csv diff utf-16","csv diff windows-1252","csv diff latin-1","csv diff output csv","compare large csv files online","free csv diff tool","find differences between csv files","csv changes detector","datablist tools"],"HERO_TITLE":"CSV diff online til rigtige forretningsdata","HERO_DESC":"Dette CSV-sammenligningsværktøj er bygget til gamle og nye eksporter, CRM-snapshots, produktkataloger og lead-lister. I stedet for at vise en støjende tekst-diff linje for linje sammenligner det rækker som data, hjælper dig med at matche rækker efter id eller email og fremhæver, hvilke celler der faktisk er ændret.","EXAMPLE":{"TITLE":"Eksempel: sammenlign to CSV-eksporter efter id","DESCRIPTION":"Dette er den typiske workflow til at sammenligne en tidligere eksport med en nyere. Én række forbliver uændret, én række ændres, én forsvinder, og én ny række dukker op.","DIFF_LABEL":"Resultat af diff"},"MATCHING":{"TITLE":"Sammenlign CSV-rækker efter key column","PARAGRAPHS":["Den bedste måde at sammenligne to CSV-filer online på er som regel at matche rækker efter en stabil nøgle som `id`, `email`, `sku` eller `uuid`. Værktøjet foreslår automatisk en sandsynlig key column, når det finder en, men du kan overstyre det, vælge flere key columns eller falde tilbage til sammenligning af hele rækker.","Det er især nyttigt, når filer indeholder de samme records i en anden rækkefølge, eller når kolonner er blevet omarrangeret mellem eksporter."]},"STATUSES":{"TITLE":"Tilføjede, fjernede, ændrede og uændrede rækker","PARAGRAPHS":["Diff-resultatet opdeler rækker i fire praktiske statusser: tilføjet, fjernet, ændret og uændret. For ændrede rækker viser preview, hvilke kolonner der er ændret, samt den gamle værdi versus den nye værdi.","Det gør dette værktøj mere nyttigt end en simpel tekst-diff til CSV-filer, især når du skal forklare ændringer til ikke-tekniske teams."]},"ADVANCED_TITLE":"Avancerede CSV diff-indstillinger til mere præcis sammenligning","ADVANCED_DESC":"De fleste online CSV diff-værktøjer stopper ved en grundlæggende compare-knap. Dette værktøj giver dig mere kontrol, når du skal sammenligne CSV-filer efter key column, justere hvordan rækker joines, ignorere forskelle, der kun skyldes formatering, eller vælge det præcise diff-output, du vil downloade.","DETAIL_CARDS":[{"TITLE":"Join type: full outer join, inner join eller left join","PARAGRAPHS":["Join type definerer, hvilke rækker der vises i den endelige CSV diff. Full outer join er standard, fordi den viser alt: matchede rækker, tilføjede rækker og fjernede rækker. Inner join bevarer kun rækker, der findes i begge filer. Left join bruger den oprindelige CSV som base og er nyttig, når du primært vil se, hvilke oprindelige records der blev ændret eller forsvandt.","Det er især nyttigt ved søgninger som “full outer join CSV compare” eller “compare old and new CSV file with removed rows”, fordi join-tilstanden ændrer betydningen af diffen."]},{"TITLE":"Matching på key column for ids, emails, SKUs og sammenligning med flere nøgler","PARAGRAPHS":["Hvis du vil sammenligne CSV efter id, email, SKU, uuid eller en anden identifikator, er indstillingen for key column det, der gør resultatet pålideligt. I stedet for at matche rækker efter linjerækkefølge matcher værktøjet records efter den valgte nøgle, så omrokering af kolonner eller flytning af rækker ikke skaber falske forskelle.","Du kan også bruge flere key columns, når ét felt ikke er unikt nok. Det gør værktøjet nyttigt til mere avancerede søgninger som “compare CSV by key column” eller “compare CSV files by multiple columns”."]},{"TITLE":"Sammenligningsindstillinger til at ignorere whitespace, store/små bogstaver og null-lignende værdier","PARAGRAPHS":["Rigtige eksporter adskiller sig ofte kun på grund af formatering. Én fil kan indeholde ekstra mellemrum, tekst med store bogstaver eller placeholder-værdier som `null`, `N/A` eller tomme strenge. Sammenligningsindstillingerne lader dig ignorere forskelle i whitespace, ignorere store/små bogstaver og behandle tomme og null-lignende værdier som ens, før diffen beregnes.","Disse muligheder er vigtige, når brugere søger efter et mere avanceret CSV-sammenligningsværktøj i stedet for en naiv tekst-diff. De hjælper med at reducere støj og fokusere preview på faktiske dataændringer."]},{"TITLE":"Outputformat: summary CSV, changed rows CSV eller fuld diff CSV","PARAGRAPHS":["Nogle workflows har kun brug for en kompakt summary med rækkestatus og nøgler. Andre har brug for en CSV kun med ændrede rækker eller en fuld diff CSV med oprindelige og opdaterede værdier side om side. Outputindstillingerne lader dig vælge det format, vælge separator og beslutte, om uændrede rækker skal forblive i den eksporterede fil.","Det gør værktøjet mere fleksibelt end mange gratis CSV diff-værktøjer online, fordi det eksporterede resultat kan tilpasses til audits, business reviews, reconciliation-workflows eller efterfølgende arbejde i regneark."]},{"TITLE":"Sammenlign store CSV-filer online","PARAGRAPHS":["Værktøjet er designet til at sammenligne store CSV-filer online uden at forsøge at rende hver række i browseren. Det beregner fulde summary-tal, begrænser preview til et håndterbart sample og lader dig stadig downloade det fulde diff-resultat bagefter.","Hvis du har brug for et gratis CSV diff-værktøj til store eksporter, er den workflow til store filer hele pointen med denne side."]},{"TITLE":"Kompatibelt med flere CSV-encodings","PARAGRAPHS":["Rigtige CSV-filer gemmes ikke altid som almindelig UTF-8. Dette værktøj er bygget til at håndtere almindelige spreadsheet- og eksport-encodings, herunder UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil.","Det er vigtigt, når du har brug for en online CSV diff til filer fra Excel, ældre business software eller regionale eksporter, som ellers åbner med ødelagte accenter eller ulæselige tegn."]},{"TITLE":"Rækkenumre i diff-datatabellen","PARAGRAPHS":["Når du sammenligner CSV-filer efter key column, kan diff-datatabellen også vise de oprindelige rækkenumre for hver matchet record. Hvis rækken blev på samme position, ser du ét rækkenummer. Hvis recorden er flyttet, viser tabellen begge rækkenumre, så du kan spore den tilbage i hver fil.","Det er nyttigt til audits, reconciliation-arbejde og support-sager, hvor du ikke kun skal forklare, hvad der ændrede sig, men også præcis hvor rækken kom fra i den oprindelige CSV og den opdaterede CSV."]},{"TITLE":"Privat behandling i browseren","PARAGRAPHS":["CSV-filer parses og sammenlignes i din browser. Det er vigtigt, når du arbejder med kundeeksporter, omsætnings-snapshots, lagerdata eller andre følsomme regneark, som bør blive på din egen maskine.","Det gør også CSV diff online-oplevelsen hurtigere, fordi der ikke er noget upload-trin på serversiden, før du kan inspicere resultatet."]}],"FAQ_TITLE":"FAQ","FAQ_ITEMS":[{"QUESTION":"Hvordan sammenligner jeg to CSV-filer online?","ANSWER":"Upload den oprindelige CSV og den opdaterede CSV, vælg hvordan rækker skal matches, gennemgå diff-previewet, og download derefter summary eller den fulde diff CSV. Matching efter id, email eller en anden stabil nøgle giver som regel det tydeligste resultat."},{"QUESTION":"Kan jeg sammenligne CSV-filer efter id?","ANSWER":"Ja. Værktøjet er bygget til at sammenligne CSV-rækker efter key column. Det kan automatisk foreslå kolonner som id, email, sku, key eller uuid, og du kan også vælge flere key columns, når én kolonne alene ikke er nok."},{"QUESTION":"Hvad hvis kolonnerne er omarrangeret?","ANSWER":"Standardadfærden sammenligner kolonner efter kolonnenavn, ikke kun efter position. Det betyder, at omarrangerede kolonner ikke skaber falske forskelle, når kolonner med samme navn findes i begge filer."},{"QUESTION":"Hvad betyder join type i en CSV diff?","ANSWER":"Join type styrer, hvilke rækker der inkluderes i resultatet. Full outer join inkluderer matchede, tilføjede og fjernede rækker. Inner join inkluderer kun rækker, der findes i begge filer. Left join bruger den oprindelige CSV som base og udelukker rækker, der kun findes i den opdaterede fil."},{"QUESTION":"Kan jeg ignorere whitespace eller forskelle i store/små bogstaver?","ANSWER":"Ja. Sammenligningsindstillingerne kan ignorere whitespace, ignorere store/små bogstaver og behandle tomme eller null-lignende værdier som ens. Det hjælper, når du vil finde reelle dataændringer i stedet for støj, der kun skyldes formatering."},{"QUESTION":"Hvilke CSV-encodings understøttes?","ANSWER":"Værktøjet er kompatibelt med almindelige CSV-encodings, herunder UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil. Det hjælper med CSV-eksporter fra Excel, legacy-software og business-systemer, der ikke bruger UTF-8."},{"QUESTION":"Kan jeg se rækkenumre i diffen?","ANSWER":"Ja. Når rækker matches efter key column, kan diff-datatabellen vise rækkenumre for begge filer. Hvis recorden vises på forskellige linjenumre i hver fil, vises begge rækkenumre, så du kan spore matchningen tilbage til kilde-CSV'erne."},{"QUESTION":"Hvilke outputformater er tilgængelige?","ANSWER":"Du kan eksportere en summary CSV, en changed rows CSV eller en fuld diff CSV. Outputindstillingerne lader dig også vælge separator og om uændrede rækker skal inkluderes."},{"QUESTION":"Kan dette sammenligne store CSV-filer?","ANSWER":"Ja. Preview er begrænset, så siden forbliver responsiv, mens den fulde diff stadig beregnes til optællinger og download. Det gør værktøjet velegnet til større eksporter, end en simpel DOM-tung viewer komfortabelt kan håndtere."},{"QUESTION":"Er dette CSV-sammenligningsværktøj gratis?","ANSWER":"Ja. Denne side er et gratis online CSV diff-værktøj. Du kan sammenligne CSV-filer online, inspicere forskellene og downloade resultatet uden at skulle installere et desktop-program."}],"OTHER_TOOLS_DESC":"Har du brug for et andet data-værktøj efter at have sammenlignet to CSV-filer? Disse værktøjer er designet til nærliggende cleanup- og konverterings-workflows."},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV-række-splitter — opdel/udvid CSV-rækker efter skilletegn","PAGE_DESC":"Gratis onlineværktøj til at opdele CSV-rækker efter skilletegn. Vælg en kolonne, vælg en separator, og udvid celler med flere værdier til én række pr. værdi. Virker med store filer, fuldt i browseren.","SCHEMA_NAME":"Datablist CSV-række-splitter","SCHEMA_DESC":"Gratis online CSV-række-splitter. Opdel celler med flere værdier til individuelle rækker ved at vælge en kolonne og et skilletegn. Fuldt i browseren, virker med store filer.","TOOL":{"CHARS":"tegn","COLUMN_HELP":"Vælg, hvilken kolonne der indeholder flere værdier i hver celle.","COLUMN_LABEL":"Kolonne, der skal opdeles","COPY_ARIA":"Kopiér CSV","COPY_DONE_LABEL":"Kopieret!","DELIMITER_CUSTOM_HINT":"eller skriv en brugerdefineret separator","DELIMITER_HELP":"Tegnet, der bruges til at adskille værdier inde i cellen.","DELIMITER_LABEL":"Celleseparator","EMPTY_SOURCE_LABEL":"Indsæt CSV eller upload en fil","ERROR_MISSING_SOURCE":"Indsæt først CSV-data eller upload en CSV-fil.","NO_PREVIEW_DESC":"Upload en CSV eller indsæt data, og klik på Opdel rækker.","NO_PREVIEW_TITLE":"Ingen forhåndsvisning endnu","OPTIONS_DUPLICATES_DESC":"Behold kun den første forekomst af hver værdi i en celle.","OPTIONS_DUPLICATES_LABEL":"Fjern dubletter","OPTIONS_HEADER":"Indstillinger","OPTIONS_SKIP_EMPTY_DESC":"Fjern rækker, der ville være tomme efter opdeling.","OPTIONS_SKIP_EMPTY_LABEL":"Spring tomme værdier over","OPTIONS_TRIM_DESC":"Fjern indledende og afsluttende mellemrum fra hver værdi.","OPTIONS_TRIM_LABEL":"Trim mellemrum","OVERLAY_DESC":"Filen bliver behandlet lokalt og vist med det samme.","OVERLAY_TITLE":"Slip din CSV-fil her","PASTE_LABEL":"Indsæt CSV","PASTED_LABEL":"Indsat CSV","PREVIEW_LIMIT":"{count} af {total} rækker","PREVIEW_SPLIT_BADGE":"opdelt","ROWS_AFTER":"Rækker efter","ROWS_BEFORE":"Rækker før","STATUS_FAILED":"Behandling mislykkedes","STATUS_PREVIEW_READY":"Forhåndsvisning klar","STATUS_PROCESSING":"Behandler CSV…","STATUS_WAITING":"Venter på input","SUBMIT_LABEL":"Opdel rækker","TRUST_BROWSER":"Behandles i din browser","TRUST_LARGE_FILES":"Virker med store CSV-filer","TRUST_NO_UPLOAD":"Ingen upload til server","DELIMITERS":{"COMMA":"Komma ,","SEMICOLON":"Semikolon ;","PIPE":"Pipe |","TAB":"Tabulator \\t"},"CUSTOM_DELIMITER":"Brugerdefineret…","PASTE_PLACEHOLDER":"Navn,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":"Viser {count} af {total} rækker — download CSV-filen for at få alle rækker."},"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":"Opdel CSV-rækker efter skilletegn — på få sekunder. Ingen Excel-formler.","HERO_DESC":"Jeg eksporterede kontakter fra mit CRM. Alle emails lå samlet i én celle, kommasepareret. Jeg havde brug for én email pr. række. Excel gjorde det besværligt. Dette værktøj klarer det på 10 sekunder.","WHY_TITLE":"Hvorfor det er vigtigt at opdele celler med flere værdier","WHY_DESC":"CRM'er, e-handelsplatforme og survey-eksporter lægger ofte flere værdier i én enkelt celle. Tags, emails, telefonnumre, kategorier — de hober sig op bag et skilletegn. Normaliserede data er nemmere at importere, deduplikere, filtrere og berige. Én værdi pr. række er standarden, som dine værktøjer forventer.","INTRO_CARDS":[{"TITLE":"Opdel en kolonne i flere rækker i CSV","PARAGRAPHS":["Brug dette værktøj, når du skal opdele en kolonne i flere rækker i en CSV-fil. Det er bygget til filer, hvor én celle indeholder flere emails, tags, telefonnumre, kategorier, skills eller ID'er adskilt af et skilletegn.","Dette er en af de hurtigste måder at normalisere CSV-data og normalisere CSV-celler med flere værdier på, før du importerer filen til et andet system. I stedet for at have flere værdier i én record udvider du rækkerne i CSV-filen, så hver værdi får sin egen række."]},{"TITLE":"Sådan opdeler du en celle i flere rækker i Excel","PARAGRAPHS":["Mange søger efter, hvordan man opdeler en celle i flere rækker i Excel, eller hvordan man opdeler kommaseparerede værdier i flere rækker i Excel. Til CSV-filer er dette onlineværktøj som regel hurtigere end at bygge formler, bruge Power Query eller manuelt kopiere rækker.","Indsæt eller upload din CSV, vælg kolonnen, bekræft skilletegnet, og download resultatet. Hvis dit mål er at konvertere en celle med flere værdier til rækker i CSV online, er denne side bygget præcis til det workflow."]}],"EXAMPLES":{"EMAILS":{"TITLE":"Eksempel: opdel kontakter med flere emails til én række pr. email","DESCRIPTION":"En typisk CRM-eksport lægger alle kontaktens emails i én enkelt celle. Ved opdeling udvides hver kontakt til individuelle rækker, som du kan importere i ethvert værktøj.","INPUT_LABEL":"CSV-input","OUTPUT_LABEL":"CSV-output"},"TAGS":{"TITLE":"Eksempel: udvid produkt-tags til individuelle rækker","DESCRIPTION":"Produktkataloger pakker ofte flere tags i én celle. Ved opdeling får du en ren struktur med ét tag pr. række, klar til filtrering, gruppering eller analyse.","INPUT_LABEL":"CSV-input","OUTPUT_LABEL":"CSV-output"}},"SETTINGS_CARDS":[{"TITLE":"Sådan opdeler værktøjet CSV-rækker","ITEMS":[{"TITLE":"Kolonne der skal opdeles","BODY":"Vælg den kolonne, der indeholder flere værdier i én enkelt celle. Alle andre kolonner duplikeres på tværs af de nye rækker. Kun én kolonne udvides ad gangen i denne version."},{"TITLE":"Cellens skilletegn","BODY":"Dette er tegnet, der adskiller værdier inde i cellen — forskelligt fra CSV-filens kolonneseparator. Almindelige valg er komma, semikolon, pipe og tab. Værktøjet foreslår et skilletegn baseret på dine data."},{"TITLE":"Trim mellemrum","BODY":"Aktiveret som standard. Fjerner foranstillede og efterstillede mellemrum fra hver værdi efter opdeling. Nyttigt når værdier er adskilt med \", \" i stedet for kun \",\"."}]},{"TITLE":"Avancerede indstillinger","ITEMS":[{"TITLE":"Fjern dubletter","BODY":"Når en celle indeholder `a,a,b`, vil denne mulighed kun beholde én `a` og lave to rækker i stedet for tre. Nyttigt når dine kildedata har utilsigtede gentagelser."},{"TITLE":"Spring tomme værdier over","BODY":"Når en opdeling giver en tom streng, for eksempel fra et afsluttende skilletegn som `a,b,`, fjerner denne mulighed den tomme værdi i stedet for at oprette en tom række."},{"TITLE":"Tomme celler bevares som standard","BODY":"Hvis en celle er helt tom, bevares rækken uændret. Kun celler, der faktisk indeholder skilletegnet, udvides."}]}],"INFO_CARDS":[{"TITLE":"Virker med store CSV-filer","PARAGRAPHS":["Opdeling udvider antallet af rækker, nogle gange markant. En fil med 5.000 rækker og i gennemsnit 3 værdier pr. celle bliver til 15.000 rækker. Værktøjet håndterer det uden problemer.","Previewet viser de første 100 output-rækker, så browseren forbliver responsiv. Download den fulde CSV, når du har bekræftet, at opdelingen er korrekt."]},{"TITLE":"Kompatibel med flere CSV-encodings","PARAGRAPHS":["CSV-filer fra regneark og ældre eksporter er ikke altid encoded på samme måde. Dette værktøj understøtter almindelige CSV-encodings, herunder UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil.","Det gør det mere pålideligt, når du skal opdele rækker i CSV-filer, der indeholder accenter, specialtegn eller ældre eksportformater, som ofte fejler i simple onlineværktøjer."]},{"TITLE":"Din fil forlader aldrig browseren","PARAGRAPHS":["Al parsing og opdeling sker lokalt i din browser ved hjælp af en Web Worker. Ingen fil uploades til en server. Det er vigtigt, når du arbejder med kundedata, CRM-eksporter eller fortrolige kontaktlister.","Dette værktøj er gratis at bruge og kræver ingen konto."]}],"USE_CASES_TITLE":"Hvornår du skal bruge dette værktøj","USE_CASES":[{"TITLE":"Opdel kommaseparerede værdier til rækker","BODY":"Lav `a,b,c` i én celle om til tre separate rækker — det mest almindelige use case for CRM- og e-handels-eksporter."},{"TITLE":"Normaliser CSV med flere emails pr. celle","BODY":"Udvid kontaktlister, hvor én person har flere emails samlet i én kolonne, så hver email får sin egen række."},{"TITLE":"Opdel en kolonne med flere værdier til rækker","BODY":"Når én CSV-kolonne gemmer flere værdier i én celle, kan du udvide den til separate rækker, så filen bliver lettere at importere, filtrere og analysere."},{"TITLE":"Udvid tags og kategorier","BODY":"Produktkataloger, blogindlæg og support tickets gemmer ofte flere tags i ét felt. Normaliser dem før analyse."},{"TITLE":"Unnest telefonnumre","BODY":"Når kontakter har flere telefonnumre i én celle, kan du opdele dem til individuelle rækker for renere importer til dialers eller CRM'er."},{"TITLE":"Tidy data til deduplikering","BODY":"Én værdi pr. række er tidy data-standarden. Efter opdeling kan du bruge Datablist til at deduplikere, filtrere og berige resultaterne."},{"TITLE":"Forbered data til importer","BODY":"De fleste CRM- og marketingplatforme forventer én værdi pr. række. Opdeling er ofte første skridt før import eller berigelse af dine data."}],"VOCABULARY":{"TITLE":"CSV explode, unnest, flatten eller unpivot","PARAGRAPHS":["Forskellige værktøjer beskriver denne transformation på forskellige måder. Du leder måske efter et værktøj til CSV explode column, en måde at unnest en CSV-kolonne på, en metode til at flatten en CSV-kolonne eller et workflow til CSV unpivot multi-value column.","I praksis er målet det samme: tidy data med flere værdier pr. celle, så én værdi bliver til én række. Den struktur er lettere at joine, deduplikere, gruppere, berige og eksportere."]},"FAQ_TITLE":"FAQ","FAQ_ITEMS":[{"QUESTION":"Kan jeg bruge semikolon som cellens skilletegn?","ANSWER":"Ja. Værktøjet understøtter komma, semikolon, pipe, tab og brugerdefinerede skilletegn. Det forsøger også automatisk at registrere det korrekte skilletegn ud fra dine data, når du vælger en kolonne."},{"QUESTION":"Virker det med store CSV-filer?","ANSWER":"Ja. Opdelingen sker inde i en Web Worker, så den ikke blokerer browseren. Previewet er begrænset til 100 rækker, men det fulde output kan downloades, selv når din fil har titusindvis af rækker."},{"QUESTION":"Bliver mine data uploadet til en server?","ANSWER":"Nej. Alt kører lokalt i din browser. Din CSV sendes aldrig til nogen server. Det gør det sikkert til kundedata, interne eksporter og alt andet, du ikke ønsker at uploade."},{"QUESTION":"Hvilke CSV-encodings understøttes?","ANSWER":"Værktøjet er kompatibelt med almindelige CSV-encodings, herunder UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil. Det hjælper, når din CSV kommer fra Excel, ældre software eller eksporter med accenttegn."},{"QUESTION":"Hvad sker der med celler, der ikke indeholder skilletegnet?","ANSWER":"De bevares uændret. Kun celler, der faktisk indeholder skilletegnet, udvides til flere rækker. Tomme celler bevares også som standard."},{"QUESTION":"Håndterer det citerede CSV-felter korrekt?","ANSWER":"Ja. Den underliggende CSV-parser håndterer citerede felter korrekt. En værdi som \"mia.chen@example.test,mia@workmail.test\" behandles som én enkelt værdi og opdeles efter cellens skilletegn, ikke CSV-separatoren."}],"CTA_TITLE":"Har du brug for at deduplikere eller berige dine data efter opdeling?","CTA_DESC":"Når dine data er normaliseret — én værdi pr. række — gør Datablist det nemt at deduplikere kontakter, berige med eksterne data, filtrere efter enhver kolonne og eksportere en ren, færdig fil.","CTA_LABEL":"Prøv Datablist gratis","OTHER_TOOLS_DESC":"Har du brug for et andet dataværktøj efter at have opdelt din CSV? Disse værktøjer dækker tilstødende workflows til oprydning og konvertering."},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — Opdel CSV-filer efter rækker, størrelse, værdier, regler eller datoer","PAGE_DESC":"Gratis online CSV Splitter til rodede exports fra den virkelige verden. Auto-detekter kolonner, få forslag til smarte opdelingsmuligheder, preview outputfiler, og download CSV- eller ZIP-resultater direkte i din browser.","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"Gratis online CSV-splitter, der kan opdele efter rækker, filstørrelse, grupperede værdier, regler og datointervaller. Kører udelukkende i browseren og downloader multi-file exports som ZIP-arkiver.","TOOL":{"ANALYSIS_COLUMNS":"Kolonner","ANALYSIS_DELIMITER":"Separator","ANALYSIS_ENCODING":"Kodning","ANALYSIS_ROWS":"Rækker","DOWNLOAD_ACTIVE_FILE":"Download aktiv fil","EMPTY_SOURCE_LABEL":"Upload en CSV eller indsæt den nedenfor","ERROR_INVALID_ROWS_PER_FILE":"Rækker pr. fil skal være et helt tal større end 0.","ERROR_LOAD_FILE":"Kunne ikke indlæse denne CSV-fil.","ERROR_LOAD_PASTED_CSV":"Kunne ikke læse den indsatte CSV.","ERROR_MISSING_RULES":"Tilføj mindst én regel, før du forhåndsviser denne opdeling.","ERROR_MISSING_SOURCE":"Indsæt en CSV, før du fortsætter.","ERROR_MISSING_SOURCE_FOR_PREVIEW":"Upload eller indsæt først en CSV.","ERROR_RULE_FILE_LABEL":"Hver regel skal have et destinationsfilnavn, før du kan forhåndsvise denne opdeling.","FILE_HINT":"CSV-separator, linjeskift i anførselstegn, dublerede headers og kodning håndteres automatisk.","LOAD_FIRST_DESC":"Upload en fil eller indsæt CSV, og vælg derefter en split mode for at fortsætte.","LOAD_FIRST_TITLE":"Indlæs først en CSV","MODE_LOCKED_HINT":"Upload eller indsæt en CSV for at låse disse split modes op.","MODE_OPTIONS":[{"DESCRIPTION":"Opret filer med et fast antal rækker. Dette er det sikreste standardvalg for de fleste eksporter.","LABEL":"Split efter rækker","MODE":"rows"},{"DESCRIPTION":"Hold hver fil under en omtrentlig uploadgrænse, når et andet værktøj afviser større CSV-filer.","LABEL":"Split efter filstørrelse","MODE":"size"},{"DESCRIPTION":"Opret én fil pr. land, owner, status eller anden gentaget kategori.","LABEL":"Split efter kolonneværdier","MODE":"column_value"},{"DESCRIPTION":"Send rækker til filer baseret på simple betingelser som land, email-domæne eller virksomhedsstørrelse.","LABEL":"Split efter regler","MODE":"conditional"},{"DESCRIPTION":"Gruppér rækker efter måned, år eller ISO-uge ved hjælp af en datokolonne.","LABEL":"Split efter datointervaller","MODE":"date_range"}],"PASTE_CARD_DESC":"Nyttigt til hurtige tests, eller når filen allerede er i din udklipsholder.","PASTE_CARD_TITLE":"Indsæt CSV","PASTE_DROP_HINT":"Indsæt eller slip en fil","PASTED_LABEL":"Indsat CSV","PREPARING_MODE_DESC":"Denne mode kræver en dybere scanning af kolonnerne, før indstillingerne kan vises.","PREPARING_MODE_TITLE":"Forbereder denne split mode","PREVIEW_AFTER_BUILD_DESC":"Vælg en split mode, justér indstillingerne, og forhåndsvis outputfilerne før download.","PREVIEW_AFTER_BUILD_TITLE":"Forhåndsvisning kommer efter, at du har bygget opdelingen","PREVIEW_PANEL_DESC":"Gennemgå antal filer, advarsler og forhåndsvisningen af hvert output før download.","PREVIEW_PANEL_TITLE":"Forhåndsvis og download","PREVIEW_SPLIT_LABEL":"Forhåndsvis opdeling","READY_TO_SPLIT":"Klar til at splitte","STATUS_ANALYSIS_READY":"Analyse klar","STATUS_ANALYZING":"Analyserer kolonner…","STATUS_BUILDING_PREVIEW":"Bygger forhåndsvisning af opdeling…","STATUS_CHOOSE_MODE":"Vælg en split mode","STATUS_LOADING_PREVIEW":"Indlæser forhåndsvisning af fil…","STATUS_PREPARING_DOWNLOAD":"Forbereder fildownload…","STATUS_PREPARING_ZIP":"Forbereder ZIP-arkiv…","STATUS_PREVIEW_READY":"Forhåndsvisning klar","STATUS_READY_TO_SPLIT":"Klar til at splitte","STATUS_SETTINGS_READY":"Justér indstillinger og forhåndsvis","STATUS_UNABLE_LOAD_CSV":"Kan ikke indlæse CSV","STATUS_UNABLE_LOAD_FILE":"Kan ikke indlæse fil","STATUS_WAITING":"Venter på en CSV-fil","STATUS_ZIP_READY":"ZIP klar","UPLOAD_CSV":"Upload CSV","USE_CSV":"Brug CSV","UI":{"NAME_EMAIL_COUNTRY_10_ALICE_ALICE_EXAMPLE":"navn,email,land\nAlice,alice@example.com,FR","ROWS_PER_FILE":"Rækker pr. fil","MAX_SIZE_PER_FILE_BYTES":"Maks. størrelse pr. fil (bytes)","USE_250000_FOR_ROUGHLY_250_KB_1000000":"Brug 250000 for ca. 250 KB og 1000000 for ca. 1 MB.","GOOD_WHEN_DOWNSTREAM_TOOLS_HAVE_UPLOAD_LIMITS":"Velegnet, når efterfølgende værktøjer har uploadgrænser","SIZE_BASED_CHUNKS_USE_EXACT_ROW_SIZES":"Størrelsesbaserede dele bruger de præcise rækkestørrelser, men meget varierende rækker gør resultatet mindre forudsigeligt end ved opdeling efter rækker.","SPLIT_BY_COLUMN_S":"Opdel efter kolonne(r)","USE_ONE_COLUMN_FOR_SIMPLE_SEGMENTATION_OR":"Brug én kolonne til enkel segmentering, eller kombiner flere kolonner for at få mere detaljerede outputfiler.","LIMIT_OUTPUT_FILES":"Begræns antallet af outputfiler","RULE_BUILDER":"Regelbygger","RULES_RUN_IN_ORDER_CHOOSE_FIRST_MATCH":"Reglerne køres i rækkefølge. Vælg kun første match, eller tillad, at rækker placeres i flere filer.","ADD_RULE":"Tilføj regel","RULE":"Regel","REMOVE":"Fjern","EQUALS":"er lig med","DOES_NOT_EQUAL":"er ikke lig med","CONTAINS":"indeholder","DOES_NOT_CONTAIN":"indeholder ikke","STARTS_WITH":"starter med","ENDS_WITH":"slutter med","GREATER_THAN":"er større end","GREATER_THAN_OR_EQUAL":"er større end eller lig med","LESS_THAN":"er mindre end","LESS_THAN_OR_EQUAL":"er mindre end eller lig med","IS_EMPTY":"er tom","IS_NOT_EMPTY":"er ikke tom","COMPARISON_VALUE":"Sammenligningsværdi","DESTINATION_FILE_NAME":"Destinationsfilens navn","THIS_IS_THE_FILE_THAT_WILL_RECEIVE":"Dette er filen, der modtager rækker, som matcher denne regel. Eksempel: enterprise, gmail eller north-america.","EXAMPLE_ENTERPRISE":"Eksempel: enterprise","CASE_SENSITIVE":"Forskel på store og små bogstaver","DATE_COLUMN":"Datokolonne","GROUP_BY":"Gruppér efter","MONTH":"Måned","YEAR":"År","ISO_WEEK":"ISO-uge","ADVANCED_SETTINGS":"Avancerede indstillinger","USE_THESE_ONLY_WHEN_THE_SIMPLE_SETUP":"Brug kun disse, når den enkle opsætning ikke er tilstrækkelig. Her finder du indstillinger til projektion og finjustering.","EXPORT_SETTINGS":"Eksportindstillinger","FILENAME_PATTERN":"Filnavnsmønster","USE_VARIABLES_LIKE_INDEX_AND_LABEL_EXAMPLE":"Brug variabler som {index} og {label}. Eksempel: batch-{index}-{label}","STARTING_NUMBER":"Startnummer","THE_FIRST_FILE_INDEX_USED_WHEN_INDEX":"Det første filindeks, der bruges, når {index} indgår i filnavnsmønstret.","COLUMNS_TO_KEEP_IN_THE_OUTPUT":"Kolonner, der skal bevares i outputtet","PROJECTION_HAPPENS_BEFORE_THE_SPLIT_IT_REDUCES":"Projektionen udføres før opdelingen. Det reducerer filstørrelsen og giver renere eksportfiler.","SELECT_ALL":"Vælg alle","UNSELECT_ALL":"Fravælg alle","ROW_SETTINGS":"Rækkeindstillinger","OVERLAP_ROWS":"Overlappende rækker","USEFUL_WHEN_BATCH_TOOLS_NEED_CONTEXT_IN":"Nyttigt, når batchværktøjer har brug for kontekst i den næste fil.","SHUFFLE_ROWS":"Bland rækker","USEFUL_FOR_EXPERIMENTS_AND_SAMPLING":"Nyttigt til eksperimenter og stikprøver.","KEEP_GROUPED_ROWS_TOGETHER":"Hold grupperede rækker samlet","AVOID_BREAKING_THE_SAME_GROUP_ACROSS_FILES":"Undgå at opdele den samme gruppe på tværs af filer.","GROUPING_COLUMN":"Grupperingskolonne","CHOOSE_A_COLUMN":"Vælg en kolonne","COLUMN_VALUE_SETTINGS":"Indstillinger for kolonneværdier","RARE_VALUE_HANDLING":"Håndtering af sjældne værdier","KEEP_EVERY_DISTINCT_VALUE":"Bevar hver enkelt unik værdi","KEEP_TOP_N_VALUES_GROUP_THE_REST":"Bevar de N mest forekommende værdier, og gruppér resten","GROUP_BUCKETS_BELOW_A_ROW_THRESHOLD":"Gruppér grupper under en rækkegrænse","TOP_N_VALUES_TO_KEEP":"Antal topværdier, der skal bevares","MINIMUM_ROWS_PER_BUCKET":"Minimum antal rækker pr. gruppe","OTHER_BUCKET_LABEL":"Etiket til gruppen Andre","ALSO_SPLIT_LARGE_GROUPS_BY_FILE_SIZE":"Opdel også store grupper efter filstørrelse","USEFUL_WHEN_ONE_SEGMENT_IS_MUCH_BIGGER":"Nyttigt, når ét segment er meget større end resten.","MAX_SIZE_PER_GROUPED_FILE_BYTES":"Maks. størrelse pr. grupperet fil (bytes)","RULE_SETTINGS":"Regelindstillinger","FIRST_MATCH_ONLY":"Kun første match","TURN_THIS_OFF_TO_DUPLICATE_A_ROW":"Slå dette fra for at kopiere en række til flere outputfiler.","KEEP_UNMATCHED_ROWS_IN_A_SEPARATE_FILE":"Gem rækker uden match i en separat fil","TURN_THIS_ON_IF_YOU_WANT_ROWS":"Slå dette til, hvis rækker, der ikke matcher nogen regel, skal placeres i deres egen eksportfil.","UNMATCHED_ROWS_FILE_NAME":"Filnavn til rækker uden match","THIS_NAME_IS_USED_FOR_THE_EXTRA":"Dette navn bruges til den ekstra fil, der samler rækker, som ikke matcher nogen af dine regler.","DATE_SETTINGS":"Datoindstillinger","DATE_FORMAT":"Datoformat","USE_A_FIXED_FORMAT_WHEN_THE_ANALYZER":"Brug et fast format, hvis analysen har gættet forkert.","AUTO_DETECT":"Registrér automatisk","YYYY_MM_DD":"YYYY-MM-DD","DD_MM_YYYY":"DD/MM/YYYY","MM_DD_YYYY":"MM/DD/YYYY","DD_MM_YYYY_2":"DD-MM-YYYY","MM_DD_YYYY_2":"MM-DD-YYYY","INVALID_DATES":"Ugyldige datoer","SEND_TO_A_SEPARATE_FILE":"Send til en separat fil","SKIP_INVALID_ROWS":"Spring ugyldige rækker over","INVALID_DATE_FILE_LABEL":"Etiket til fil med ugyldige datoer","COLUMN_TYPE_OVERRIDES":"Tilsidesættelse af kolonnetyper","USE_THIS_WHEN_A_NUMBER_OR_DATE":"Brug dette, hvis en tal- eller datokolonne er blevet registreret forkert. Det påvirker regelsammenligninger og datobaserede opdelinger.","DETECTED_AS":"Registreret som","TEXT":"Tekst","NUMBER":"Tal","DATE":"Dato","COMMA_THOUSANDS_SEPARATOR":"Komma som tusindtalsseparator","DOT_THOUSANDS_SEPARATOR":"Punktum som tusindtalsseparator","SPACE_THOUSANDS_SEPARATOR":"Mellemrum som tusindtalsseparator","APOSTROPHE_THOUSANDS_SEPARATOR":"Apostrof som tusindtalsseparator","NO_THOUSANDS_SEPARATOR":"Ingen tusindtalsseparator","ONLY":"Kun","ROWS_SHOWN_IN_PREVIEW":"rækker vist i forhåndsvisningen","PREVIEW_LOADS_ON_DEMAND_FOR_THIS_FILE":"Forhåndsvisningen indlæses efter behov for denne fil","LARGE_ROW_BASED_SPLITS_ONLY_PRELOAD_THE":"Ved store rækkebaserede opdelinger indlæses kun den første fil på forhånd, så forhåndsvisningen forbliver hurtig.","SUGGESTED_GROUPING_COLUMNS":"Foreslåede grupperingskolonner","GROUPS":"grupper","LARGEST":"Største:","SMALLEST":"Mindste:","MEDIAN":"Median:","NO_STRONG_GROUPING_COLUMN_WAS_DETECTED_ROW":"Der blev ikke fundet nogen oplagt grupperingskolonne. Række- eller størrelsesbaseret opdeling er de sikreste standardvalg for denne fil.","FILE_ANALYSIS":"Filanalyse","DUPLICATE_HEADERS":"Dublerede kolonneoverskrifter:","EMPTY_COLUMNS":"Tomme kolonner:","LARGE_TEXT_COLUMNS":"Kolonner med meget tekst:","LEARN_MORE_ABOUT":"Læs mere om {title}","SOMETHING_WENT_WRONG":"Noget gik galt","TAB":"Tabulator","DOWNLOAD_ZIP":"Download ZIP","OUTPUT_FILES":"Outputfiler","PROJECTED_COLUMNS":"Valgte outputkolonner","LARGEST_FILE":"Største fil","ZIP_SIZE":"ZIP-størrelse","ROWS_COUNT":"{count} rækker","OUTPUT_FILE_META":"{rows} rækker · {size}","ROWS_SHOWN":"Kun {count} rækker vises i forhåndsvisningen","GROUPS_COUNT":"{count} grupper","NONE":"ingen"}},"KEYWORDS":["csv splitter","split csv by column value","split csv by file size","split csv by date","split csv by rules","split large csv online","csv splitter zip download","csv split into multiple files","split csv by country","datablist tools"],"HERO_TITLE":"Opdel CSV-filer efter betydning, ikke kun efter chunk-størrelse","HERO_DESC":"Mange CSV splitter-værktøjer stopper ved “hver 1.000 rækker”. Virkelige exports er mere rodede. Nogle gange har du brug for én fil pr. land, én fil pr. måned, én fil til enterprise accounts eller en fallback-fil til de rækker, der ikke matchede noget. Dette værktøj er bygget til den virkelighed.","INTRO_CARDS":[{"TITLE":"Smart analyse før opdelingen","PARAGRAPHS":["Værktøjet auto-detekterer encoding, delimiter, duplikerede headers, tomme kolonner, large-text fields og grouping columns med lav kardinalitet. Det gør det lettere at vælge en praktisk opdeling i stedet for at gætte.","Du får også advarsler, når en opdeling er risikabel: for mange outputfiler, for mange bittesmå filer eller én kæmpestor bucket, der er meget større end resten."]},{"TITLE":"Bygget til store CSV-exports fra den virkelige verden","PARAGRAPHS":["Store filer bliver på klientsiden. Du kan preview resultatet før download, beholde kun de kolonner du har brug for og eksportere én fil eller mange filer i et ZIP-arkiv.","Det fungerer godt til outreach-batches, handoff pr. land, CRM cleanup, compliance reviews og månedlige historiske udsnit."]}],"GUIDE_TITLE":"Guide til indstillinger for de svære dele","GUIDE_DESC":"Nogle split-indstillinger er kraftfulde, men ikke oplagte ved første øjekast. Hjælpeikonerne i værktøjet hopper til de matchende forklaringer nedenfor, så du kan forstå, hvad en indstilling faktisk ændrer, før du previewer opdelingen.","GUIDES":[{"ID":"csv-splitter-help-rows","EXTRA_IDS":["csv-splitter-help-overlap","csv-splitter-help-grouped-rows","csv-splitter-help-size"],"ICON":"rows","TITLE":"Rækker, overlap og størrelsesbaserede chunks","DESCRIPTION":"Det er de hurtigste split-modes og som regel de sikreste, når du bare har brug for mindre filer.","PARAGRAPHS":["Rækker pr. fil giver hvert output omtrent samme antal rækker. Det er bedst, når downstream-værktøjer går op i batch-størrelse, ikke kategori eller betydning.","Overlap-rækker gentager nogle få rækker ved grænsen mellem filer. Brug det kun, når næste batch har brug for lidt kontekst fra den forrige.","Hold grupperede rækker samlet forhindrer værktøjet i at splitte den samme account, virksomhed eller ordre på tværs af flere filer. Det er vigtigt, når rækker, der tilhører samme enhed, skal holdes samlet.","Maks. størrelse pr. fil er til upload-grænser. Den forsøger at holde sig under et byte-mål, men rækkelængder kan variere, så den sidste fil eller nogle filer kan stadig føles mindre jævne end række-baserede chunks."]},{"ID":"csv-splitter-help-column-values","EXTRA_IDS":["csv-splitter-help-rare-values","csv-splitter-help-large-groups"],"ICON":"split","TITLE":"Grupperede outputs og sjældne værdier","DESCRIPTION":"Værdibaserede opdelinger er bedst, når én CSV pr. land, ejer, status eller kilde gør resultatet lettere at gennemgå eller overdrage.","PARAGRAPHS":["Opdel efter kolonne(r) opretter ét output pr. unik værdi eller værdikombination. Én kolonne giver enklere outputs; to eller flere kolonner skaber mere granulære filer.","Håndtering af sjældne værdier hjælper, når enkeltstående værdier ville skabe for mange bittesmå filer. Du kan beholde kun de største grupper og samle resten i en “other”-bucket.","Opdel også store grupper efter filstørrelse er nyttigt, når én kategori er meget større end resten. Det bevarer grouping-logikken, men forhindrer, at én kæmpefil dominerer exporten."]},{"ID":"csv-splitter-help-rules","EXTRA_IDS":["csv-splitter-help-unmatched"],"ICON":"rules","TITLE":"Regler, første match og unmatched rows","DESCRIPTION":"Regelbaseret opdeling er nyttig, når filernes destination afhænger af business logic i stedet for én simpel grouping column.","PARAGRAPHS":["Kun første match betyder, at en række stopper ved den første regel, den matcher. Slå det kun fra, hvis du bevidst vil have den samme række kopieret til flere outputfiler.","Behold unmatched rows i en separat fil sikrer, at rækker, som ikke opfylder nogen af dine regler, stadig bliver bevaret i deres egen export.","Filnavn til unmatched rows er ganske enkelt navnet på den catch-all-fil. Det hjælper, når du vil have et tydeligt output som <code>needs-review.csv</code> eller <code>no-rule-match.csv</code>."]},{"ID":"csv-splitter-help-date-splits","EXTRA_IDS":["csv-splitter-help-date-format","csv-splitter-help-invalid-dates","csv-splitter-help-export-settings","csv-splitter-help-projection"],"ICON":"dates","TITLE":"Datoer, export-indstillinger og renere outputfiler","DESCRIPTION":"Disse indstillinger er vigtige, når input er rodet, eller når de eksporterede filnavne skal passe ind i et eksisterende workflow.","PARAGRAPHS":["Datoformat er der til tvetydige datokolonner. Hvis detektoren gætter forkert, så tving det forventede format før grouping efter måned, år eller uge.","Ugyldige datoer lader dig beslutte, om dårlige værdier skal springes over eller flyttes til en separat fil. Det er mere sikkert end at miste rækker i stilhed.","Filnavnsmønster styrer de endelige outputnavne. Brug variabler som <code>{index}</code> og <code>{label}</code>, når dine batches har brug for forudsigelig nummerering.","Kolonner, der skal beholdes i outputtet fjerner unødvendige kolonner før opdelingen. Det gør exports lettere og renere, især når den oprindelige CSV har hjælpekolonner, du ikke vil have downstream."]}],"EDGE_TITLE":"Edge cases dette værktøj håndterer","EDGE_DESC":"Virkelige CSV-exports er sjældent rene. Dette værktøj er bygget til at håndtere de irriterende tilfælde, som normalt ødelægger simplere splitters.","EDGE_CASES":[{"ICON":"shield","TITLE":"Quoted cells, indlejrede kommaer og linjeskift","DESCRIPTION":"Rækker bliver ikke splittet, bare fordi en quoted cell indeholder et komma eller et linjeskift.","BODY":"Parseren holder quoted CSV-værdier intakte, så adresser, noter eller lange tekstfelter ikke bliver brudt op i falske rækker under opdelingen."},{"ICON":"files","TITLE":"Duplikerede headers, tomme kolonner og projiceret output","DESCRIPTION":"Rodede headers og overdimensionerede exports er almindelige i CRM-, finance- og support-exports.","BODY":"Duplikerede headers normaliseres, så sammenligninger stadig virker. Tomme kolonner kan identificeres, og projection lader dig fjerne kolonner før generering af outputs."},{"ICON":"rows","TITLE":"Store filer og lazy preview","DESCRIPTION":"Preview skal hjælpe dig med at beslutte, ikke blokere dig fra at behandle store filer.","BODY":"Ved store række-baserede opdelinger kan værktøjet holde preview let og kun preloade den første outputfil. Sekundære previews og downloads materialiseres on demand."},{"ICON":"dates","TITLE":"Ugyldige datoer, unmatched rules og ujævne grupper","DESCRIPTION":"Splitteren holder edge-case-rækker synlige i stedet for stille og roligt at kassere dem.","BODY":"Rækker med ugyldige datoer kan komme i en separat fil, rækker der ikke matcher nogen regel kan beholdes i deres egen export, og grupperede opdelinger kan advare dig, når ét segment er meget større end resten."}],"EXAMPLES":{"COUNTRY":{"TITLE":"Opdel efter land eller status","DESCRIPTION":"Brug opdeling efter grupperede værdier, når du vil have én CSV pr. land, ejer, status, kilde eller ethvert felt med lav kardinalitet."},"RULES":{"TITLE":"Byg regelbaserede outputfiler","DESCRIPTION":"Betingede regler lader dig definere praktiske destinationer såsom enterprise accounts, Gmail-adresser eller fallback-rækker, der ikke matcher noget."},"INPUT_LABEL":"Input","OUTPUT_LABEL":"Output"},"FAQ_ITEMS":[{"QUESTION":"Kan jeg opdele en CSV efter kolonneværdi?","ANSWER":"Ja. Vælg én eller flere kolonner, preview antallet af grupper, sæt eventuelt et loft over antallet af outputfiler, og saml sjældne værdier i en “other”-fil."},{"QUESTION":"Kan jeg opdele en CSV efter filstørrelse?","ANSWER":"Ja. Angiv et byte-mål pr. fil. Det er nyttigt, når et andet værktøj har upload-grænser. Preview advarer, når rækkelængder varierer for meget til pålidelige estimater."},{"QUESTION":"Kan jeg opdele en CSV efter måned eller år?","ANSWER":"Ja. Vælg en datokolonne, vælg måned, år eller ISO-uge, og beslut, om ugyldige datoer skal i deres egen fil eller springes over."},{"QUESTION":"Laver værktøjet et ZIP-arkiv?","ANSWER":"Ja. Opdelinger med ét output downloades som en CSV. Opdelinger med flere filer downloades som en ZIP, så store segmenterede exports forbliver håndterbare."}],"FAQ_TITLE":"FAQ"},"ToolsDomainFinder":{"CONTENT":{"META_TITLE":"Gratis søgning fra virksomhedsnavn til domæne | Datablist","META_SOCIAL_TITLE":"Gratis søgning fra virksomhedsnavn til domæne","META_DESCRIPTION":"Indsæt op til 10 virksomhedsnavne, og find deres websites med det samme. Gratis og uden krav om betalingskort.","HERO":{"TITLE":"Find domæner ud fra virksomhedsnavne","DESCRIPTION":"Indsæt en liste med virksomhedsnavne, og få deres websites på få sekunder. Gratis og uden krav om betalingskort."},"PROOF":{"TITLE":"Baseret på reelle data – ikke gætteri","EYEBROW":"Hvad databasen rent faktisk indeholder","BODY":"Det samme virksomhedsdatasæt, som ligger bag Datablists betalte produkt til data enrichment, krydstjekket med kendte relationer mellem moderselskaber og datterselskaber, så et match ikke ubemærket peger på det forkerte brand.","STATS":[{"value":"85%+","label":"matchrate"},{"value":"3","label":"søgemetoder"},{"value":"32M","label":"virksomheder"}]},"SOCIAL":{"TITLE":"Betroet af startups og store virksomheder","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Indsæt din liste","body":"Kopiér virksomhedsnavne fra en CRM-eksport, en kolonne i et regneark eller en ufærdig leadliste, og indsæt dem i vores gratis værktøj til at finde domæner ud fra virksomhedsnavne. Vi opdeler automatisk ved linjeskift eller kommaer og fjerner identiske dubletter."},{"step":2,"title":"Vi tjekker databasen og derefter Google","body":"Hvert navn matches med Datablists egen virksomhedsdatabase – det samme datasæt, som ligger bag vores betalte produkt til data enrichment. Hvis databasen ikke giver et sikkert match, foretager vi en live Google-søgning. Vi vælger ikke bare det første resultat: Hver kandidat vurderes ud fra, hvor godt den matcher den ønskede virksomhed, så en katalogside eller en nyhedsartikel om virksomheden ikke returneres som dens website."},{"step":3,"title":"Hvert resultat får en sikkerhedsvurdering","body":"Ikke alle domænematches er lige sikre, så hver række vurderes som Høj, Middel eller Lav ud fra, hvor tæt navnet matchede, og hvordan domænet blev fundet. Rækker med høj sikkerhed kan bruges med det samme. Resultater med middel eller lav sikkerhed bør gennemgås hurtigt, før de føjes til en outreach-liste."}],"FLOW":["Virksomhedsdatabase","intet sikkert match","live Google-søgning","verificeret resultat"],"CTA":{"TITLE":"500 gratis søgninger – intet betalingskort","BODY":"Med en gratis konto fjernes grænsen på 10 navne, og du får 500 credits til at begynde med.","LABEL":"Opret en gratis konto"}},"USE_CASES":{"TITLE":"Anvendelsesmuligheder","ITEMS":[{"title":"Personalisering af kold outreach","body":"Find websitet, før du skriver din email, så din indledning henviser til noget konkret.","ctaLabel":"Guide til personalisering af kolde emails","ctaHref":"https://www.datablist.com/how-to/cold-email-personalization-tactics"},{"title":"Berigelse af leadlister","body":"Udfyld manglende domæner på en liste over potentielle kunder, før den overføres til dit CRM eller sequencer-værktøj.","ctaLabel":"Guide til berigelse af leadlister","ctaHref":"https://www.datablist.com/how-to/lead-list-building-guide"},{"title":"CRM-oprydning","body":"Knyt en isoleret virksomhedsregistrering til dens rigtige website igen.","ctaLabel":"Guide til CRM-rensning","ctaHref":"https://www.datablist.com/how-to/clean-enrich-refresh-data-crm"},{"title":"Research af nichevirksomheder","body":"Find websites for mindre eller nyere virksomheder, som generelle søgemaskiner og forældede databaser overser.","ctaLabel":"Guide til virksomhedsresearch","ctaHref":"https://www.datablist.com/how-to/chatgpt-search-on-spreadsheet"}]},"COMPARISON":{"TITLE":"Datablist sammenlignet med andre domæneværktøjer","HEADERS":["Værktøj","Månedlig pris","Pris pr. domæne","Bedst til"],"ROWS":[{"tool":"Datablist","cost":"$$25","perDomain":"$$0.005","bestFor":"Prisvenlig opbygning af leadlister og data enrichment i stor skala","favicon":"/free-tools/domain-finder/tool-favicons/datablist.png"},{"tool":"Company URL Finder","cost":"$$49","perDomain":"$$0.049","bestFor":"Teams, der allerede arbejder i Google Sheets","favicon":"/free-tools/domain-finder/tool-favicons/company-url-finder.png"},{"tool":"CUFinder","cost":"$$49","perDomain":"$$0.049","bestFor":"Omfattende API-integrationer","favicon":"/free-tools/domain-finder/tool-favicons/cufinder.png"},{"tool":"Clay","cost":"$$185","perDomain":"$$0.0745","bestFor":"Komplekse workflows til data enrichment","favicon":"/free-tools/domain-finder/tool-favicons/clay.png"},{"tool":"Phantombuster","cost":"$$69","perDomain":"Variabel","bestFor":"Eksisterende Phantombuster-brugere","favicon":"/free-tools/domain-finder/tool-favicons/phantombuster.png"},{"tool":"Marcom Robot","cost":"$$59","perDomain":"$$0.059","bestFor":"Begrænsede anvendelsesmuligheder","favicon":"/free-tools/domain-finder/tool-favicons/marcom-robot.png"},{"tool":"BuiltWith","cost":"$$295","perDomain":"Premium","bestFor":"Teknologibaseret prospektering","favicon":"/free-tools/domain-finder/tool-favicons/builtwith.png"}],"NOTE":"Priserne er hvert værktøjs billigste betalte abonnement med månedlig fakturering og blev kontrolleret på udbyderens egen prisside i september 2026. Prisen pr. domæne er beregnet ud fra det antal søgninger, som abonnementet inkluderer.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"https://www.datablist.com/pricing"},{"n":2,"label":"Company URL Finder-abonnementer","href":"https://companyurlfinder.com/plans"},{"n":3,"label":"CUFinder-priser","href":"https://cufinder.io/pricing"},{"n":4,"label":"Clay-priser","href":"https://www.clay.com/pricing"},{"n":5,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":6,"label":"Marcom Robot-priser","href":"https://www.marcomrobot.com/data-enrichment/pricing"},{"n":7,"label":"BuiltWith-abonnementer","href":"https://builtwith.com/plans"}],"CTA":{"TITLE":"Stop med at betale pr. domæne","BODY":"Datablist koster $0.005 pr. domæne. Start gratis med 500 credits og uden betalingskort.","LABEL":"Opret en gratis konto"}},"RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i større mængder?","ENRICHMENT":{"label":"Domain Finder enrichment","href":"https://www.datablist.com/enrichments/find-domain-for-company-name-bulk","blurb":"Behandl et helt regneark i stedet for ti navne ad gangen med den samme matching, der først bruger databasen og derefter Google."},"TOOLS":[{"label":"Sales Navigator Scraper","href":"https://www.datablist.com/tools/sales-navigator-scraper","blurb":"Få leads fra en søge-URL uden at bruge din LinkedIn-konto."},{"label":"Gratis Email Finder","href":"https://www.datablist.com/tools/email-finder","blurb":"Find arbejds-emails ud fra et navn og en virksomhed."},{"label":"Rensning af virksomhedsnavne","href":"https://www.datablist.com/tools/company-name-cleaner","blurb":"Fjern juridiske selskabsendelser, og ret brugen af store og små bogstaver med AI-værktøjet."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"Hvor mange domæner kan jeg søge efter gratis?","answer":"10 navne pr. kørsel – uden konto og uden betalingskort. Kør værktøjet igen, når du har brug for det, inden for rimelige brugsgrænser, der forhindrer automatiseret brug i stor skala."},{"question":"Hvad gør jeg, hvis jeg skal behandle mere end 10 ad gangen?","answer":"Opret en gratis konto, så forsvinder grænsen på 10 navne. Du starter med 500 gratis credits, så du straks kan teste større batches. Til regelmæssig bulkbrug giver Starter-abonnementets 5,000 månedlige credits god dækning til $0.005 pr. domænematch i databasen eller $0.0125 pr. Google-søgning."},{"question":"Hvad skete der med Clearbits gratis Name to Domain API?","answer":"Det blev udfaset den 30. april 2025. Dette værktøj er en selvstændig drop-in-erstatning med en sikkerhedsvurdering for hver række – noget Clearbit aldrig havde."},{"question":"Kan jeg bruge dette værktøj via et API?","answer":"Ja, Datablist tilbyder et API fra virksomhedsnavn til domæne, som gør det muligt at finde en virksomheds website programmatisk. Se implementeringsguiden til API'et på datablist.com/how-to/company-name-to-domain-api-enrichment for opsætningstrin."}]},"BREADCRUMB_CURRENT":"Domænesøgning","SCHEMA_NAME":"Datablists gratis søgning fra virksomhedsnavn til domæne","SCHEMA_DESCRIPTION":"Gratis onlineværktøj til at finde domæner ud fra virksomhedsnavne. Indsæt en liste med virksomhedsnavne, og få deres websites med en sikkerhedsvurdering for hvert match."},"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 liste","DESCRIPTION":"Indsæt op til 10 virksomhedsnavne, og find deres domæner på få sekunder.","PLACEHOLDERS":["Datablist","Celonis","Virksomhedsnavn"],"ROW_LABEL":"Virksomhedsnavn, række {number}","REMOVE_ROW":"Fjern række {number}","ADD_ROW":"Tilføj endnu en række","ROW_LIMIT":"Du har nået gratisværktøjets grænse på 10 rækker.","EMPTY":"Indsæt eller skriv et virksomhedsnavn for at komme i gang","READY_ONE":"1 navn er klar","READY_MANY":"{count} navne er klar","FIND_ONE":"Find domæne","FIND_MANY":"Find domæner","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Eksempelresultater · Disse ti eksempler er kun vejledende. Sikkerhedsvurderingerne er eksempler og ikke live-scorer. Der blev ikke brugt nogen credits.","REJECTED_ONE":"1 post lignede ikke et virksomhedsnavn og blev sprunget over.","REJECTED_MANY":"{count} poster lignede ikke virksomhedsnavne og blev sprunget over.","OVERFLOW":"Du indsatte {count} navne – kun de første 10 blev behandlet gratis. Den gratis prøveperiode dækker op til 500 søgninger (1 credit pr. søgning).","PROCESS_ALL":"Behandl alle {count}","NUMBER":"#","COMPANY_NAME":"Virksomhedsnavn","DOMAIN":"Domæne","CONFIDENCE":"Sikkerhed","STATUS":"Status","NO_MATCH":"Intet match fundet","COPY_ROW":"Kopiér domæne for {name}","START_OVER":"Start forfra","COPY_ALL":"Kopiér alle","DOWNLOAD_CSV":"Download CSV","DOWNLOAD_FILENAME":"domains.csv","HIGH":"Høj","MEDIUM":"Middel","LOW":"Lav","VERY_LOW":"Meget lav","PRIVACY":"Dine navne og resultater er tilgængelige i denne browser i 24 timer. Datablist opbevarer opgavedata længere for at kunne gennemføre og understøtte søgningen.","UNAVAILABLE":"Denne søgning er midlertidigt utilgængelig. Du kan stadig bruge Datablist-appen.","QUOTA_REACHED":"Du har brugt din daglige kvote til dette gratis værktøj. Kom tilbage om {hours} t. {minutes} min., eller fortsæt i Datablist.","QUOTA_RUN_TOO_LARGE":"Denne søgning overstiger din resterende daglige kvote til dette gratis værktøj. Prøv med færre navne, eller kom tilbage om {hours} t. {minutes} min.","QUOTA_REMAINING":"{remaining} af {limit} credits tilbage i dag","QUOTA_REDUCE":"{remaining} credits tilbage i dag. Prøv med færre navne.","QUOTA_WAIT":"Den daglige kvote er brugt. Kom tilbage om {hours} t. {minutes} min.","CHALLENGE_REQUIRED":"Gennemfør verificeringen, før du starter søgningen.","RUN_FAILED":"Søgningen kunne ikke gennemføres. Prøv igen senere.","SUBMISSION_UNKNOWN":"Vi kontrollerer, om din søgning er startet. Genindlæs denne side for at kontrollere dens status, og undlad at indsende den igen.","RETRY_STATUS":"Vi kunne ikke kontrollere søgningen lige nu. Genindlæs denne side for at prøve igen.","EXPIRED":"Dette resultat er ikke længere tilgængeligt i denne browser.","BANNER":"Opret en gratis konto, og få 500 gratis søgninger fra virksomhedsnavn til domæne – intet betalingskort påkrævet.","BANNER_CTA":"Få 500 gratis credits","RESULT_CTA":"Tilmeld dig en gratis prøveperiode, og få 500 gratis søgninger fra virksomhedsnavn til domæne!","RESULT_CTA_BUTTON":"Start gratis prøveperiode","CSV_NAME":"Navn","LOADING":"Indlæser","ERROR":"Fejl","COMPLETE":"Fuldført","HISTORY_TITLE":"Dine seneste søgninger","HISTORY_DESCRIPTION":"Åbn eller fjern en søgning fra denne browser, mens resultaterne er tilgængelige, i op til 24 timer. Hvis du fjerner den her, stopper det ikke søgningen, og dine credits gendannes ikke.","HISTORY_REMOVE":"Fjern {name} fra denne browser","HISTORY_COMPLETE":"Fuldført","HISTORY_FAILED":"Kræver opmærksomhed","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"I gang","COPY_ERROR":"Kopieringen mislykkedes. Prøv igen, eller download CSV-filen.","DEBUG_NOTICE":"Debugresultater fra beta-handlingen. Dette er testdata og ikke en søgning på den indsendte person.","MORE_OPTIONS":"Flere indstillinger","COUNTRY_LABEL":"Målland","COUNTRY_HELP":"Begræns virksomhedsdatasættet og Google-søgningen, der bruges som fallback, til et bestemt land.","ALL_COUNTRIES":"Alle lande","RUN_OPTIONS":"Kørselsindstillinger","OPTION_ON":"Til","OPTION_OFF":"Fra"}},"ToolsSalesNavigatorScraper":{"CONTENT":{"META_TITLE":"Gratis Sales Navigator Scraper | Datablist","META_SOCIAL_TITLE":"Gratis Sales Navigator Scraper","META_DESCRIPTION":"Indsæt URL'en til en Sales Navigator-søgning, og se en gratis forhåndsvisning af leads. Intet LinkedIn-login, ingen cookies og intet session-ID, så din konto aldrig er i fare.","SCHEMA_NAME":"Datablists gratis Sales Navigator Scraper","SCHEMA_DESCRIPTION":"Gratis online Sales Navigator Scraper. Indsæt en søge-URL, og se en forhåndsvisning af leads uden at forbinde en LinkedIn-konto – ingen cookies eller session-ID er nødvendige.","BREADCRUMB_CURRENT":"Sales Navigator Scraper","HERO":{"TITLE":"Prøv markedets sikreste Sales Navigator Scraper gratis!","DESCRIPTION":"Indsæt en søge-URL, og se en forhåndsvisning af leads med det samme."},"SAFETY":{"TITLE":"Derfor udsætter dette ikke din konto for risiko","ITEMS":[{"safe":true,"label":"Datablist","body":"Kræver kun én ting: din søge-URL. Ingen loginoplysninger, cookies, session-ID eller browserudvidelse."},{"safe":false,"label":"Chrome-udvidelser","body":"Evaboot, Skrapp og lignende værktøjer automatiserer klik i din aktive session. LinkedIns brugeraftale forbyder dette, og det er din konto, der bærer risikoen."},{"safe":false,"label":"Cookie-baserede cloudværktøjer","body":"Phantombuster og de fleste Apify actors beder dig indsætte din li_at-sessionscookie. Det svarer til at overdrage din aktive session til en tredjepart."}]},"SOCIAL":{"TITLE":"Betroet af startups og store virksomheder","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Kør din søgning i Sales Navigator","body":"Filtrér efter stillingsbetegnelse, anciennitet, lokation, antal medarbejdere, branche eller et hvilket som helst andet Sales Navigator-filter, indtil resultatlisten matcher den målgruppe, du rent faktisk ønsker. Kopiér derefter URL'en direkte fra adresselinjen."},{"step":2,"title":"Indsæt URL'en her","body":"Denne URL er det eneste, vi skal bruge. Intet login, ingen adgangskode, ingen browserudvidelse og ingen sessionscookie kopieret fra dine devtools. Vi fjerner de kontospecifikke parametre, som Sales Navigator tilføjer, før URL'en sendes videre, fordi vi hverken ønsker eller bruger dem."},{"step":3,"title":"Vi scraper fra vores egen infrastruktur","body":"Udtrækket kører på Datablists servere og aldrig gennem din LinkedIn-session. Derfor kan intet spores tilbage til din konto eller tælle med i dine aktivitetsgrænser på LinkedIn. Du får en ren tabel retur, som er klar til at blive beriget med emails eller sendt til dit CRM."}],"CTA":{"TITLE":"Scrape en hel søgning – ikke kun ti leads","BODY":"En gratis konto starter med 500 credits og forbindes aldrig til din LinkedIn-konto.","LABEL":"Opret en gratis konto"}},"USE_CASES":{"TITLE":"Use cases","ITEMS":[{"title":"Opbygning af en leadliste fra bunden","body":"Omdan en velafgrænset Sales Navigator-søgning til en ren, deduplikeret liste, du rent faktisk kan arbejde med, i stedet for manuelt at bladre gennem resultaterne.","ctaLabel":"Guide til opbygning af leadlister","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Find emails til de leads, du scraper","body":"Et navn og en stillingsbetegnelse er ikke nok til at tage kontakt. Kør den scrapede liste gennem en waterfall email finder, der tjekker mere end 20 udbydere, før den opgiver at finde en kontakt.","ctaLabel":"Find emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Eksportér en hel søgning på én gang","body":"Hvis du manuelt bladrer gennem resultaterne i Sales Navigator, ender du med højst nogle få dusin leads. Det er eksporten af hele søgningen på én gang, der gør det værd at opbygge en liste.","ctaLabel":"Eksportér leads fra Sales Navigator","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"Scraping uden risiko for at blive udelukket","body":"Hvis du har udskudt scraping, fordi du ikke vil risikere at miste dit netværk, er dette workflowet, der helt fjerner risikoen for din konto.","ctaLabel":"Guide til sikker scraping","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Sammenligning af Sales Navigator scrapers","INTRO":"Alle de andre værktøjer nedenfor kører scrapingen gennem din egen LinkedIn-session ved hjælp af en udvidelse eller en sessionscookie, som du udleverer. Datablist er det eneste værktøj, der slet ikke opretter forbindelse til din konto.","HEADERS":["Værktøj","Din LinkedIn-konto","Hvad det kræver af dig","Startpris","Pris pr. lead","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["Opretter aldrig forbindelse til den","En søge-URL","$$25/md.","$$0.05","Ja, mere end 20 udbydere"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["I fare","Udvidelse på din konto","$$39/md.","$$0.039","Ja"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["I fare","Udvidelse på din konto","$$9/md.","$$0.09","Ja"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["I fare","Din sessionscookie","$$69/md.","Varierer","Ja"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["I fare","Din sessionscookie","$$19/md.","Varierer","Nej"]}],"NOTE":"Priserne er hvert værktøjs billigste betalte abonnement med månedlig fakturering, kontrolleret på udbyderens egen prisside i september 2026. Prisen pr. lead er beregnet ud fra det antal leads, abonnementet inkluderer.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"/pricing"},{"n":2,"label":"Skrapp-priser","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evaboot-priser","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apify-priser","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Det eneste værktøj, der ikke rører din konto","BODY":"Start gratis med 500 credits. Ingen udvidelse, ingen sessionscookie og intet betalingskort.","LABEL":"Opret en gratis konto"}},"RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i stor skala?","ENRICHMENT":{"label":"Sales Navigator Scraper","href":"/sources/linkedin-search-scraper","blurb":"Scrape en hel søgning i stedet for kun en forhåndsvisning med ti leads – stadig uden at forbinde din LinkedIn-konto."},"TOOLS":[{"label":"Gratis Domain Finder","href":"/tools/domain-finder","blurb":"Find websites ud fra virksomhedsnavne, inklusive en vurdering af sikkerheden."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Find arbejds-emails ud fra et navn og en virksomhed."},{"label":"Rensning af virksomhedsnavne","href":"/tools/company-name-cleaner","blurb":"Fjern juridiske selskabsbetegnelser, og ret brugen af store og små bogstaver med AI-værktøjet."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"Skal jeg have et Sales Navigator-abonnement?","answer":"Ja. Det er Sales Navigators avancerede filtre, der genererer den søge-URL, som værktøjet læser, så du skal have et aktivt abonnement for at oprette en. Du behøver ikke at give os adgang til det."},{"question":"Hvordan kan dette være sikkert, når andre scrapers ikke er det?","answer":"Alle de andre værktøjer i sammenligningen ovenfor kører scrapingen gennem din egen aktive LinkedIn-session via en browserudvidelse eller en sessionscookie, som du indsætter. LinkedIns brugeraftale forbyder dette, og det er din konto, der rammes af håndhævelsen. Datablist læser kun søge-URL'en og foretager udtrækket fra sin egen infrastruktur, så intet kan spores tilbage til dig."},{"question":"Hvad koster en komplet scraping?","answer":"20 credits pr. lead, når intet er forbundet til din LinkedIn-konto, eller 10, hvis du vælger at forbinde din egen. Datablist starter ved $25 om måneden med månedlig fakturering og inkluderer 5,000 credits pr. måned."},{"question":"Har Datablists Sales Navigator Scraper nogen begrænsninger?","answer":"Ja. Den kan ikke scrape søgninger, der indeholder kontospecifikke filtre som \"Følger din virksomhedsside\", gemte lister eller noget, der er synkroniseret fra dit CRM, fordi disse data ligger bag dit personlige login, som vi ikke opretter forbindelse til."}]}},"TOOL":{"LABEL":"URL'en til din Sales Navigator-søgning","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"Intet LinkedIn-login, ingen cookies og intet session-ID. Vi opretter aldrig forbindelse til din konto.","SUBMIT":"Scrape leads","BUSY":"Scraper","RESULTS":"Her er de første {count} leads fra din søgning – gratis.","NAME":"Navn","JOB_TITLE":"Stilling","COMPANY":"Virksomhed","LOCATION":"Lokation","COPY":"Kopiér","COPIED":"Kopieret","DOWNLOAD":"Download CSV","NOTE":"Den gratis forhåndsvisning viser {count} leads uden kontaktoplysninger. Emails og profil-URL'er kommer fra Datablists enrichments, når du kører den komplette scraping.","ERROR_EMPTY":"Indsæt en URL til en Sales Navigator-søgning for at komme i gang.","ERROR_URL":"Det ligner ikke en URL.","ERROR_HOST":"Dette link peger på {host}, ikke LinkedIn.","ERROR_PROFILE":"Dette er en enkelt LinkedIn-profil, ikke en søgning.","ERROR_RECORD":"Dette er en enkelt Sales Navigator-post, ikke en søgning.","ERROR_SEARCH":"Dette er et LinkedIn-link, men ikke en Sales Navigator-søgning.","ERROR_FAILURE":"Scrapingen blev ikke gennemført. Prøv igen om et øjeblik.","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"Scrape hele listen","ERROR_HINTS":{"url":"Åbn din søgning i Sales Navigator, og kopiér adressen fra adresselinjen.","host":"Sales Navigator-URL'er starter med linkedin.com/sales/search/","profile":"Kør først en søgning i Sales Navigator, og kopiér derefter URL'en.","record":"Gå tilbage til dine søgeresultater, og kopiér URL'en derfra.","search":"Se 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":"Derfor er en waterfall bedre end et enkelt opslag","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":"Startups og store virksomheder har tillid til os","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Give us a name and a company","body":"First name, last name, and either the company name or its domain. A domain is more reliable, because it skips the step of working out which business the name refers to. If you only have a LinkedIn profile, select LinkedIn URL and paste that instead."},{"step":2,"title":"We run a waterfall, not a single lookup","body":"Datablist tries available work-email providers in sequence and stops when an address is found. The free tool uses the synchronous waterfall; larger lists and the full workflow are available in the Datablist app."},{"step":3,"title":"You see what was actually found","body":"Copy the address or download the result as CSV. If no email is found, the reserved credits return to your daily allowance once the task settles. Your results can be reopened in this browser for 24 hours."}],"CTA":{"TITLE":"Find emails for a full list","BODY":"En gratis konto starter med 500 credits og kan behandle en hel liste på én gang.","LABEL":"Opret en gratis konto"}},"USE_CASES":{"TITLE":"Anvendelsesmuligheder","ITEMS":[{"title":"Opbyg en leadliste med kontaktbare personer","body":"Et navn og en virksomhed er ikke nok til at kontakte nogen. Først når du omdanner en scrapet eller eksporteret liste til en liste, du kan sende emails til, får den reel værdi.","ctaLabel":"Find emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Udfyld hullerne i en eksisterende liste","body":"De fleste eksporter er kun delvist udfyldt. Kør kun de rækker, der mangler en adresse, og betal intet for dem, der ikke giver noget resultat.","ctaLabel":"Opret en leadliste med emails","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"Brug dine egne udbydernøgler","body":"Betaler du allerede for Hunter, Dropcontact eller lignende? Kør waterfall-søgningen med dine egne nøgler, og spring Datablists credit-system helt over.","ctaLabel":"Tilpasset Waterfall Email Finder","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"Tilpas indholdet, før du sender","body":"En verificeret adresse er begyndelsen, ikke slutningen. Det afgørende for, om en email virker, er, om den første linje lyder, som om den er skrevet til netop denne person.","ctaLabel":"Personalisering af cold emails","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"Hvad 1.000 fundne emails reelt koster","INTRO":"Priser pr. credit skjuler det vigtigste: hvad du betaler for 1.000 adresser, du rent faktisk kan sende til. Hunter er billigere pr. email, fordi værktøjet søger i ét indeks. En waterfall koster mere pr. opslag og finder de personer, som en enkelt kilde ikke har. Blandt waterfall-løsningerne er Datablist den billigste.","HEADERS":["Værktøj","Pris pr. 1.000 emails","Sådan finder værktøjet dem","Ingen resultater"],"BEST_LABEL":"Laveste pris blandt alle waterfall-løsninger","BEST_LABEL_MOBILE":"{cost} · laveste pris blandt alle waterfall-løsninger","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"Indeks med én kilde","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"Waterfall med 20+ udbydere","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"Waterfall med 20+ udbydere","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"Waterfall med 20+ udbydere","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"Egen database","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150+ integrationer","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"Kun tilbud","approach":"Egen database","misses":"Ikke offentliggjort","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"Kun tilbud","approach":"Egen database","misses":"Ikke offentliggjort","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"Pris pr. 1.000 fundne emails baseret på Datablists egen offentliggjorte sammenligning og hver udbyders prisside, kontrolleret i september 2026. Alle de viste værktøjer tager kun betaling for adresser, de finder, så priserne kan sammenlignes. Udbydere med priser baseret på tilbud offentliggør ikke deres takster.","SOURCES":[{"n":1,"label":"Datablists CPME-analyse","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablist-priser","href":"/pricing"},{"n":3,"label":"Hunter.io-priser","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContact-priser","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrich-priser","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apollo-priser","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clay-priser","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"Betal kun for de emails, du rent faktisk får","BODY":"Start gratis med 500 credits. Opslag uden resultater koster intet.","LABEL":"Opret en gratis konto"}},"RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i større mængder?","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":"Find websites ud fra virksomhedsnavne med en angivelse af sikkerhedsniveauet."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Hent leads fra en søge-URL uden at bruge din LinkedIn-konto."},{"label":"Company Name Cleaner","href":"/tools/company-name-cleaner","blurb":"Fjern juridiske selskabsendelser, og ret brugen af store og små bogstaver med AI-værktøjet."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"How many emails can I find for free?","answer":"The tool allows 25 credits per UTC day, enough for one found work email. Each search reserves 25 credits while it runs. A search that finds nothing costs no credits after settlement, so you can try again within the remaining allowance. Limits apply to both your browser session and IP address."},{"question":"What happens after my daily allowance is used?","answer":"New searches pause until midnight UTC. The form shows how long you need to wait. Existing results remain available for 24 hours, and you can continue with larger lists in the Datablist app."},{"question":"What does it cost in the Datablist app?","answer":"25 Datablist credits per email found when using the default waterfall. Lookups that come back empty cost nothing. A $20 credit pack is 20,000 credits, which is up to 800 found emails."},{"question":"How is this different from a normal email finder?","answer":"A waterfall tries multiple available providers rather than relying on a single lookup. The free tool returns the address and its deliverability status without exposing provider details. Custom provider keys and larger lists are available in the Datablist app."},{"question":"What do I need to provide?","answer":"Either a first name, last name and company, or a LinkedIn profile URL. A company domain beats a company name, because it removes the guesswork of matching the name to the right business first."},{"question":"Can I search from a LinkedIn profile instead?","answer":"Yes, select LinkedIn URL above the fields and paste the profile URL. It has to be a person's profile (linkedin.com/in/...), not a company page. This is useful when you know who someone is but not where they work."},{"question":"Do you find personal email addresses?","answer":"This tool finds work emails. Datablist has a separate Personal Email Finder enrichment for consumer addresses, which is a different product with different rules around it."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Email Finder","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"Finding emails for a full list?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and find work emails for your contacts. Use names and companies or LinkedIn profile URLs, review the email addresses and their statuses, and export the enriched list.","BULK_CTA":"Explore bulk Email Finder","API_TITLE":"Find work emails from your code","API_DESCRIPTION":"Use the Waterfall Email Finder API to add email lookups to your application or automated workflow. Send a person's name and company or LinkedIn profile URL, then retrieve the email address and its status.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"MODE_LABEL":"Hvordan vil du søge?","MODE_NAME":"Navn + virksomhed","MODE_LINKEDIN":"LinkedIn-URL","FIRST_NAME":"Fornavn","LAST_NAME":"Efternavn","COMPANY":"Virksomhed eller domæne","LINKEDIN":"URL til LinkedIn-profil","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"Et domæne fungerer bedre end et virksomhedsnavn.","HINT_LINKEDIN":"En persons profil, ikke en virksomhedsside.","COPY":"Kopiér","COPIED":"Kopieret","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":"Opret en gratis konto, og få 500 credits – nok til 20 fundne emails. Intet betalingskort påkrævet.","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 af virksomhedsnavne | Datablist","META_SOCIAL_TITLE":"Gratis rensning af virksomhedsnavne","META_DESCRIPTION":"Rens op til 10 virksomhedsnavne pr. kørsel med AI. Standardiser store og små bogstaver samt juridiske virksomhedsformer, og kopiér eller eksportér derefter resultaterne. Ingen tilmelding; der gælder en daglig grænse.","SCHEMA_NAME":"Datablist – gratis rensning af virksomhedsnavne","SCHEMA_DESCRIPTION":"Rens op til 10 virksomhedsnavne pr. kørsel med AI. Standardiser store og små bogstaver samt juridiske virksomhedsformer, og kopiér eller eksportér derefter resultaterne. Ingen tilmelding; der gælder en daglig grænse.","BREADCRUMB_CURRENT":"Rensning af virksomhedsnavne","HERO":{"TITLE":"Standardiser rodede virksomhedsnavne gratis","DESCRIPTION":"Indsæt en liste, ret brugen af store og små bogstaver, og vælg, om juridiske endelser skal bevares. 10 navne pr. kørsel, ingen tilmelding."},"FORMULA":{"TITLE":"Hvorfor ikke bare bruge en formel i et regneark?","QUOTE":"“Du ender med en enorm, indlejret SUBSTITUTE-formel, der går i stykker, hvis den møder en endelse, den ikke genkender.” Det er fælden ved hjemmelavede formler: De kender kun de mønstre, du selv har tænkt på, og hvert nyt format kræver endnu en ændring i noget, der allerede er svært at læse. En AI-baseret renser læser i stedet navnet i sin kontekst. Derfor kan den håndtere en endelse, en bestemt brug af store og små bogstaver eller en brancheforkortelse, som ingen har skrevet en regel for.","HEADERS":["Før","Efter","Hvad det viser"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"STORE BOGSTAVER rettet, endelse fjernet"},{"raw":"müller & söhne gmbh & co. kg","note":"små bogstaver rettet, den sammensatte endelse prioriteres frem for \"GmbH\" alene"},{"raw":"\"Tech Company, INC.\"","note":"omsluttende anførselstegn og endelse fjernet"},{"raw":"SAP","note":"akronym på tilladelseslisten, bevaret præcis som det er"},{"raw":"1234567 Ontario Inc.","note":"et format for nummererede virksomheder; gennemgå det rensede navn, før du bruger det"}],"NOTE":"Eksemplerne er vejledende. AI-renseren returnerer et renset virksomhedsnavn; den returnerer ikke konfidensscores eller forklaringer. Gennemgå vigtige navne, før du bruger dem.","REVIEW":"Gennemgå"},"FIXES":{"TITLE":"Det retter værktøjet","ITEMS":[{"icon":"Scissors","title":"Fjernelse af juridiske endelser","body":"AI-renseren kan fjerne juridiske virksomhedsformer som Inc., LLC, Ltd., GmbH og SAS, samtidig med at det genkendelige virksomhedsnavn bevares."},{"icon":"CaseSensitive","title":"Rettelse af store og små bogstaver","body":"Værktøjet standardiserer inkonsekvent brug af store og små bogstaver og kan bevare genkendelige navne og forkortelser."},{"icon":"Eraser","title":"Mellemrum, anførselstegn og tegnsætning","body":"Fjerner dobbelte mellemrum og omsluttende anførselstegn fra indsættelser fra regneark samt det afsluttende komma eller punktum, der står tilbage, når en endelse er fjernet."},{"icon":"CopyCheck","title":"Sammenlign før og efter","body":"Sammenlign de oprindelige og rensede navne, før du kopierer resultaterne eller downloader en CSV-fil."}]},"SOCIAL":{"TITLE":"Virksomheder og startups har tillid til os","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Indsæt din liste","body":"Ét virksomhedsnavn pr. linje, op til 10 pr. kørsel. Fungerer med data direkte fra en CRM-eksport, en scraped leadliste eller en kolonne i et regneark – også med rodet brug af store og små bogstaver og juridiske endelser. Grænsen er der, fordi hvert navn koster credits at behandle, ikke fordi værktøjet har problemer med flere."},{"step":2,"title":"Værktøjet standardiserer hvert navn","body":"AI-renseren returnerer et renset navn, så du kan sammenligne det med originalen. Den returnerer ikke konfidensscores eller forklaringer."},{"step":3,"title":"Kopiér eller download resultatet","body":"Kopiér de standardiserede navne direkte til udklipsholderen, eller download hele sammenligningen som en CSV-fil med det oprindelige navn, det rensede navn og resultatstatus for hver række."}],"CTA":{"TITLE":"Rens mere end 10 ad gangen","BODY":"En gratis konto inkluderer 500 credits fra start, nok til 1,000 virksomhedsnavne.","LABEL":"Opret en gratis konto"}},"USE_CASES":{"TITLE":"Anvendelsesmuligheder","ITEMS":[{"title":"Standardisering af navne, før de kommer ind i dit CRM","body":"Fang inkonsekvent brug af store og små bogstaver og juridiske endelser, før dubletter som \"Acme Inc\" og \"ACME Corporation\" hober sig op i den samme pipeline.","ctaLabel":"Sådan standardiserer du virksomhedsnavne","ctaHref":"/how-to/normalize-company-names"},{"title":"Fjernelse af dubletter fra en eksisterende liste","body":"To rækker, der kun adskiller sig ved brugen af store og små bogstaver eller en endelse, opfattes som forskellige virksomheder af de fleste værktøjer. Standardiser først, så bliver dubletterne tydelige.","ctaLabel":"Sådan fjerner du dubletter blandt virksomhedsnavne","ctaHref":"/how-to/dedupe-company-names"},{"title":"Opdatering af en forældet CRM-eksport","body":"I en eksport fra et ældre system har inkonsekvent navngivning typisk hobet sig op. Standardiser den på vej tilbage i systemet i stedet for at tage rodet med videre.","ctaLabel":"Rens, berig og opdater CRM-data","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"Standardisering af en liste før udsendelse af emails","body":"Felter med virksomhedsnavne bruges i personaliseringstokens. Et navn med overflødige anførselstegn eller skrevet med STORE BOGSTAVER er netop den slags detalje, en modtager lægger mærke til.","ctaLabel":"Guide til rensning af emaillister","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"Standardiser din liste gratis","RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i større skala?","ENRICHMENT":{"label":"Berigelse til rensning af virksomhedsnavne","href":"/enrichments/company-name-cleaner","blurb":"Den samme renser uden grænsen på 10 navne, kørt direkte på et datasæt i Datablist. 0.5 credits pr. navn, og gentagne rækker caches i stedet for at blive opkrævet to gange."},"TOOLS":[{"label":"Gratis Domain Finder","href":"/tools/domain-finder","blurb":"Find websites ud fra virksomhedsnavne med en konfidensvurdering."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Få leads fra en søge-URL uden at bruge din LinkedIn-konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Find arbejdsemails ud fra et navn og en virksomhed."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"Er dette gratis værktøj AI-baseret?","answer":"Ja. Det bruger Datablists AI Company Name Cleaner, den samme som ligger bag den betalte berigelse, og som læser kontekst og branchejargon i stedet for at matche mod en fast liste over endelser. Grænsen er 10 navne pr. kørsel, fordi hvert navn koster 0.5 credits at behandle."},{"question":"Hvor mange navne kan jeg standardisere gratis?","answer":"Op til 10 pr. kørsel inden for en daglig grænse på 5 credits pr. browsersession og IP-adresse. Hvert indsendt navn reserverer 0.5 credit; en eventuel ubrugt reservation frigives, når kørslen er færdig. Grænsen nulstilles ved midnat UTC."},{"question":"Returnerer renseren konfidensscores?","answer":"Nej. Den returnerer et renset virksomhedsnavn. Tabellen viser, om det returnerede navn er forskelligt fra dit input. Gennemgå vigtige eller tvetydige navne, før du bruger dem."},{"question":"Hvor sendes de navne hen, som jeg indsætter?","answer":"De sendes til Datablist for at blive standardiseret, fordi renseren er en AI-model, der kører på vores infrastruktur, og ikke et script i din browser. Intet kører, før du trykker på knappen, så du kan se præcis, hvad der blev hentet fra din udklipsholder, før noget af det sendes."},{"question":"Hvad er forskellen på dette og den betalte berigelse?","answer":"Samme renser, forskellig skala. Denne side behandler 10 navne ad gangen uden en konto. Berigelsen kører direkte på et datasæt i Datablist uden en grænse på 10 navne og koster 0.5 credits pr. navn. Du slipper derfor for at eksportere og indsætte igen, og gentagne rækker caches i stedet for at blive opkrævet to gange."},{"question":"Kan jeg standardisere navne, jeg allerede har importeret i Datablist?","answer":"Ja – den betalte berigelse kører direkte på et datasæt i Datablist, så du behøver ikke at eksportere og indsætte igen. Dette gratis værktøj er beregnet til en kort liste, du har ved hånden lige 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 liste","DESCRIPTION":"Indsæt op til 10 virksomhedsnavne for at rette store og små bogstaver samt juridiske virksomhedsformer.","PLACEHOLDERS":["Acme Solutions LLC","MÜLLER & SÖHNE GMBH","Virksomhedsnavn"],"ROW_LABEL":"Virksomhedsnavn, række {number}","REMOVE_ROW":"Fjern række {number}","ADD_ROW":"Tilføj endnu en række","ROW_LIMIT":"Op til 10 virksomhedsnavne pr. kørsel.","EMPTY":"Indsæt eller skriv et virksomhedsnavn for at komme i gang","READY_ONE":"1 navn er klar","READY_MANY":"{count} navne er klar","FIND_ONE":"Rens navn","FIND_MANY":"Rens navne","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Vejledende eksempelresultater. Konfidensvurderingerne er eksempler, ikke aktuelle scores. Denne forhåndsvisning bruger ingen credits.","REJECTED_ONE":"Ét input kunne ikke bruges. Kontrollér formatet.","REJECTED_MANY":"{count} input kunne ikke bruges. Kontrollér deres format.","OVERFLOW":"Du indsatte {count} navne. Op til 10 kan behandles ad gangen.","PROCESS_ALL":"Rens alle {count} navne i Datablist","NUMBER":"#","COMPANY_NAME":"Virksomhedsnavn","DOMAIN":"Domæne","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Intet renset navn blev returneret","COPY_ROW":"Kopiér renset navn","START_OVER":"Start forfra","COPY_ALL":"Kopiér standardiserede navne","DOWNLOAD_CSV":"Download CSV","DOWNLOAD_FILENAME":"rensede-virksomhedsnavne.csv","HIGH":"Høj","MEDIUM":"Mellem","LOW":"Lav","VERY_LOW":"Meget lav","PRIVACY":"Dine input og resultater er tilgængelige i denne browser i 24 timer. Datablist opbevarer opgavedata længere for at gennemføre og understøtte kørslen.","UNAVAILABLE":"Dette gratis værktøj er midlertidigt utilgængeligt. Du kan stadig bruge Datablist-appen.","QUOTA_REACHED":"Du har opbrugt din daglige kvote for dette gratis værktøj. Kom tilbage om {hours} t. {minutes} min., eller fortsæt i Datablist.","QUOTA_RUN_TOO_LARGE":"Denne søgning overstiger din resterende daglige kvote for dette gratis værktøj. Prøv med færre navne, eller kom tilbage om {hours} t. {minutes} min.","QUOTA_REMAINING":"{remaining} af {limit} credits tilbage i dag","QUOTA_REDUCE":"{remaining} credits tilbage i dag. Prøv med færre navne.","QUOTA_WAIT":"Den daglige kvote er opbrugt. Kom tilbage om {hours} t. {minutes} min.","CHALLENGE_REQUIRED":"Gennemfør verificeringen, før du starter søgningen.","RUN_FAILED":"Kørslen kunne ikke gennemføres. Du kan åbne eventuelle tilgængelige resultater eller prøve igen senere.","SUBMISSION_UNKNOWN":"Vi kontrollerer, om din søgning er startet. Genindlæs denne side for at tjekke dens status; indsend den ikke igen.","RETRY_STATUS":"Vi kunne ikke kontrollere søgningen lige nu. Genindlæs denne side for at prøve igen.","EXPIRED":"Dette resultat er ikke længere tilgængeligt i denne browser.","BANNER":"Opret en gratis konto, og få 500 credits – nok til at rense 1,000 virksomhedsnavne. Intet betalingskort nødvendigt.","BANNER_CTA":"Få 500 gratis credits","RESULT_CTA":"Rens større lister i Datablist.","RESULT_CTA_BUTTON":"Åbn Datablist","CSV_NAME":"Navn","LOADING":"Indlæser","ERROR":"Fejl","COMPLETE":"Færdig","HISTORY_TITLE":"Dine seneste søgninger","HISTORY_DESCRIPTION":"Åbn eller fjern en søgning fra denne browser, mens resultaterne er tilgængelige, i op til 24 timer. Hvis du fjerner den her, stopper det ikke søgningen og gendanner ikke credits.","HISTORY_REMOVE":"Fjern {name} fra denne browser","HISTORY_COMPLETE":"Færdig","HISTORY_FAILED":"Kræver opmærksomhed","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"I gang","CLEAN_ONE":"Rens navn","CLEAN_MANY":"Rens navne","NORMALIZE_ALL":"Standardiser alle {count}","ORIGINAL":"Original","NORMALIZED":"Standardiseret","WHAT_CHANGED":"Hvad blev ændret","REVIEW":"Gennemgå","DUPLICATE_OF":"Dublet af “{name}”","NO_CHANGE":"Ingen ændring nødvendig","CHANGES":{"spaces":"Ekstra mellemrum fjernet","quotes":"Anførselstegn fjernet","suffix":"Juridisk endelse fjernet","casing":"Store og små bogstaver rettet"},"COPY":"Kopiér standardiserede navne","COPIED":"Kopieret","DOWNLOAD":"Download CSV","REVIEW_CTA_ONE":"1 række er markeret med Gennemgå – renseren var ikke sikker på den. Datablists AI-baserede berigelse læser kontekst, ikke kun en liste over endelser.","REVIEW_CTA_MANY":"{count} rækker er markeret med Gennemgå – renseren var ikke sikker på dem. Datablists AI-baserede berigelse læser kontekst, ikke kun en liste over endelser.","SEE_ENRICHMENT":"Se berigelsen","DEBUG_NOTICE":"Fejlfindingsresultater fra beta-handlingen. Dette er testdata, ikke en søgning på den indsendte person.","CHANGED":"Ændret","UNCHANGED":"Uændret","COPY_ERROR":"Kopieringen mislykkedes. Prøv igen, eller download CSV-filen.","MORE_OPTIONS":"Flere indstillinger","KEEP_SUFFIX_LABEL":"Bevar juridiske endelser","KEEP_SUFFIX_HELP":"Bevar juridiske virksomhedsformer som Inc., LLC, Ltd. og GmbH i de rensede navne.","RUN_OPTIONS":"Indstillinger for kørsel","OPTION_ON":"Til","OPTION_OFF":"Fra","CONFIDENCE_HELP":"AI-estimeret konfidens for, at det rensede navn bevarer virksomhedens identitet. Dette er ikke en ekstern verificering."}},"ToolsInstagramFollowerScraper":{"CONTENT":{"META_TITLE":"Gratis Instagram follower scraper | Datablist","META_SOCIAL_TITLE":"Gratis Instagram follower scraper","META_DESCRIPTION":"Gratis online Instagram follower scraper. Udtræk følgere fra enhver offentlig Instagram-profil uden login, cookies eller browserudvidelser.","SCHEMA_NAME":"Datablist gratis Instagram follower scraper","BREADCRUMB_CURRENT":"Instagram follower scraper","HERO":{"TITLE":"Gratis Instagram follower scraper","DESCRIPTION":"Indtast én Instagram-profil-URL eller ét handle, og få op til 100 følgere pr. kørsel. Kræver hverken login eller cookies."},"SAFETY":{"TITLE":"Derfor udsætter dette ikke din Instagram-konto for risiko","ITEMS":[{"safe":true,"label":"Datablist","body":"Kræver kun den offentlige profil-URL eller det offentlige handle. Opretter aldrig forbindelse til din personlige Instagram-konto og kræver ingen loginoplysninger, cookies eller browserudvidelser."},{"safe":false,"label":"Chrome-udvidelser (IG Exporter osv.)","body":"Automatiserer scraping ved at overtage din aktive browsersession. Meta overvåger hurtig scrolling og API-anmodninger i sessionen, hvilket kan medføre øjeblikkelige handlingsblokeringer og suspendering af kontoen."},{"safe":false,"label":"Cookiebaserede cloud-scrapers (PhantomBuster)","body":"Kræver, at du kopierer og indsætter din følsomme sessionid-cookie fra udviklerværktøjerne. Det overdrager din indloggede Instagram-identitet til eksterne servere og udsætter din konto for stor risiko."}]},"SOCIAL":{"TITLE":"Betroet af startups og større virksomheder","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Indtast en Instagram-profil eller et brugernavn","body":"Indsæt en offentlig Instagram-profil-URL (f.eks. instagram.com/nike), et handle (@nike) eller et numerisk bruger-ID. Du kan også indsætte flere influencerprofiler på én gang, når du bruger den fulde Datablist-app."},{"step":2,"title":"Vi scraper sikkert fra vores cloud-servere","body":"Udtrækket kører udelukkende på Datablists dedikerede infrastruktur. Vi beder aldrig om din Instagram-adgangskode, tofaktorkode eller sessionscookie (sessionid), så din personlige konto er 100 % beskyttet mod handlingsblokeringer eller udelukkelser."},{"step":3,"title":"Eksportér og berig med emails og telefonnumre","body":"Download din rensede følgertabel som CSV eller Excel. I Datablist kan du sende de scrapede handles gennem mere end 15 email- og telefonudbydere i en waterfall-proces for at finde verificerede kontaktoplysninger til dine creator-kampagner."}],"CTA":{"TITLE":"Scrape komplette følgerlister – ikke kun ti eksempelrækker","BODY":"En gratis Datablist-konto inkluderer 500 credits (op til 50,000 følgere), og Instagram-login er ikke nødvendigt.","LABEL":"Opret en gratis konto"}},"USE_CASES":{"TITLE":"Anvendelsesmuligheder","ITEMS":[{"title":"Målgruppe- og konkurrentanalyse","body":"Find ud af præcis, hvem der følger konkurrerende brands og førende profiler i din niche. Analysér fælles interesser, verificeringsrater og målgruppedemografi for at skærpe din markedspositionering.","ctaLabel":"Guide til opbygning af leadlister","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Influencer marketing og opdagelse af creators","body":"Udtræk følgerlister fra førende creators i branchen, og filtrér efter verificerede profiler eller offentlige kontakt-tags for at opbygge lister over samarbejdspartnere med høj konvertering.","ctaLabel":"Guide til scraping af influencere","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"Find emails til Instagram-leads","body":"Et Instagram-handle alene kan ikke kontaktes direkte via B2B-outreach. Kør din følgerliste gennem Datablists waterfall email finder for at finde verificerede professionelle emails.","ctaLabel":"Find emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Scraping i stor skala uden kontoudelukkelser","body":"Traditionelle værktøjer tvinger dig til at risikere en Instagram-konto over for anti-scraping-algoritmer. Datablists serverbaserede motor fjerner kontorisikoen helt.","ctaLabel":"Dokumentation til Instagram Followers","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Sammenligning af Instagram follower scrapers","INTRO":"Alle konkurrenter automatiserer enten klik i din aktive browser eller kræver, at du indsætter din følsomme sessionscookie. Datablist er den eneste platform, der udfører scraping på isoleret cloud-infrastruktur.","HEADERS":["Værktøj","IG-konto","Hvad det kræver","Pris","Pris/følger","Berigelse"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"Opretter aldrig forbindelse til den","needs":"Profil-URL eller @handle","cost":"$$25/md. eller gratis prøveperiode","perFollower":"$$0.0001 (0.01 credits)","enrichment":"Email- og telefon-waterfall","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"I risiko","needs":"Din sessionscookie (sessionid)","cost":"$$69/md.","perFollower":"Tidsbaseret (~$0.003)","enrichment":"Kræver en separat Phantom","best":false},{"tool":"Apify","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/apify.svg","safety":"I risiko / teknisk","needs":"API-opsætning og actor-konfiguration","cost":"$$49/md.","perFollower":"Compute-enheder (varierer)","enrichment":"Nej (kun rådata)","best":false},{"tool":"Chrome-udvidelser","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/chrome.svg","safety":"Høj risiko (kontoudelukkelse)","needs":"Udvidelse på din konto","cost":"$$15/md.","perFollower":"~$0.001","enrichment":"Nej","best":false}],"NOTE":"Priserne er hvert værktøjs billigste niveau ved månedlig fakturering, verificeret i september 2026. Datablists pris pr. følger er beregnet ud fra 0.01 credits pr. følger på abonnementet til $25/måned.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"https://www.datablist.com/pricing"},{"n":2,"label":"PhantomBuster-priser","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify-priser","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Den eneste scraper, der aldrig beder om dit Instagram-login","BODY":"Start gratis med 500 credits. Ingen udvidelse, ingen sessionscookie og intet betalingskort nødvendigt.","LABEL":"Opret en gratis konto"}},"RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i bulk?","ENRICHMENT":{"label":"Instagram Followers Scraper","href":"/sources/instagram-followers","blurb":"Scrape op til 2,000,000 følgere fra flere profiler i bulk, filtrér efter creator, og berig med verificerede emails."},"TOOLS":[{"label":"Gratis LinkedIn Profile Scraper","href":"/tools/linkedin-profile-scraper","blurb":"Udtræk verificeret arbejdshistorik, kompetencer og nuværende stilling fra enhver LinkedIn-profil."},{"label":"Gratis Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Udtræk leads fra Sales Navigator-søgninger uden at tilknytte en LinkedIn-konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Waterfall-søgning efter emails hos mere end 15 udbydere ud fra et navn og domæne."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"Skal jeg tilknytte min Instagram-konto eller angive loginoplysninger?","answer":"Nej. Datablist beder aldrig om din Instagram-adgangskode, tofaktorkode eller sessionscookie (sessionid). Al scraping kører på Datablists dedikerede cloud-servere, så din personlige Instagram-profil eller virksomhedsprofil aldrig tilknyttes og derfor ikke kan markeres eller udelukkes."},{"question":"Kan jeg scrape mere end 100,000 følgere?","answer":"Ja. Datablist kan scrape mere end 100,000 følgere og understøtter datasæt med op til 2,000,000 poster pr. samling. Fordi udtrækket udelukkende kører på Datablists dedikerede cloud-infrastruktur, behandles store følgerlister kontinuerligt uden browsernedbrud på grund af hukommelsen eller afbrydelser som følge af rate limits."},{"question":"Er det lovligt at scrape Instagram-følgere?","answer":"Ja. Scraping af offentligt tilgængelige data fra offentlige profiler er lovligt i de fleste større jurisdiktioner. Datablist udtrækker kun data, som er synlige for enhver besøgende, der ikke er logget ind, og omgår ikke begrænsninger for private profiler."},{"question":"Hvilke datapunkter udtrækkes, og kan jeg finde emailadresser?","answer":"Dette gratis værktøj returnerer bruger-ID, brugernavn, fuldt navn, profil-URL, kontoens privatlivsstatus og verificeringsstatus. Ukendte værdier for privatliv eller verificering forbliver uspecificerede. Efter udtrækket kan du sende de scrapede handles gennem Datablists Waterfall Email- og Phone Finders på tværs af mere end 15 dataudbydere for at finde verificerede kontaktoplysninger."},{"question":"Hvad koster det at scrape Instagram-følgere i Datablist?","answer":"Scraping af følgere koster 0.01 credits pr. følger (100 følgere pr. credit). En gratis Datablist-konto inkluderer 500 gratis credits ved oprettelse (nok til 50,000 følgere). Betalte abonnementer starter ved $25/måned for 5,000 credits (500,000 følgere), og dine credits udløber aldrig."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Instagram Follower Scraper","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk scraping","API_LABEL":"API","BULK_TITLE":"More than 100 followers or multiple profiles?","BULK_DESCRIPTION":"Enter a list of Instagram profiles in Datablist and set a follower limit per profile. Import the followers into a collection, review the results, and export your list as CSV or Excel. No Instagram login required.","BULK_CTA":"Explore bulk follower scraping","API_TITLE":"Retrieve Instagram followers from your code","API_DESCRIPTION":"Use the Instagram Followers/Following Scraper API to collect followers or following users for one or more profiles. Send usernames or profile URLs, set a limit per profile, and retrieve the results as JSON for your application or automated workflow.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"Instagram-følgere","DESCRIPTION":"Instagram-profil-URL, brugernavn eller handle","PLACEHOLDERS":["https://www.instagram.com/nike/ eller @nike"],"ROW_LABEL":"Instagram-profil","REMOVE_ROW":"Fjern profil","ADD_ROW":"Tilføj en profil","ROW_LIMIT":"Én profil og op til 100 følgere pr. kørsel.","EMPTY":"Indtast en Instagram-profil for at komme i gang","READY_ONE":"1 profil er klar","READY_MANY":"{count} profiler er klar","FIND_ONE":"Scrape følgere","FIND_MANY":"Scrape følgere","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Illustrativt eksempel med fiktive følgere. Denne forhåndsvisning kører i din browser og bruger ingen credits.","REJECTED_ONE":"Denne profil kunne ikke bruges. Kontrollér formatet.","REJECTED_MANY":"{count} input kunne ikke bruges. Kontrollér deres format.","OVERFLOW":"Du indsatte {count} profiler. Dette gratis værktøj accepterer én ad gangen.","PROCESS_ALL":"Scrape alle {count} profiler i Datablist","NO_MATCH":"Der blev ikke fundet nogen følgere for denne profil.","COPY_ROW":"Kopiér profil-URL for {name}","START_OVER":"Start forfra","COPY_ALL":"Kopiér CSV","DOWNLOAD_CSV":"Download CSV","COPY_ERROR":"Kopieringen mislykkedes. Prøv igen, eller download CSV-filen.","PRIVACY":"Dine input og resultater er tilgængelige i denne browser i 24 timer. Datablist opbevarer opgavedata længere for at gennemføre og understøtte kørslen.","UNAVAILABLE":"Dette gratis værktøj er midlertidigt utilgængeligt. Du kan stadig bruge Datablist-appen.","QUOTA_REACHED":"Du har brugt din daglige kvote for dette gratis værktøj. Kom tilbage om {hours} t. {minutes} min., eller fortsæt i Datablist.","QUOTA_RUN_TOO_LARGE":"Denne scraping overstiger din resterende daglige kvote. Kom tilbage om {hours} t. {minutes} min.","QUOTA_REMAINING":"{remaining} af {limit} credits tilbage i dag","QUOTA_REDUCE":"{remaining} credits tilbage i dag. Vent, indtil din daglige kvote nulstilles.","QUOTA_WAIT":"Den daglige kvote er brugt. Kom tilbage om {hours} t. {minutes} min.","CHALLENGE_REQUIRED":"Gennemfør verificeringen, før du scraper følgere.","RUN_FAILED":"Scrapingen kunne ikke gennemføres. Alle tilgængelige følgere vises nedenfor.","SUBMISSION_UNKNOWN":"Vi undersøger, om din scraping er startet. Genindlæs siden for at kontrollere dens status. Indsend den ikke igen.","RETRY_STATUS":"Vi kunne ikke kontrollere scrapingen lige nu. Genindlæs siden for at prøve igen.","EXPIRED":"Disse resultater er ikke længere tilgængelige i denne browser.","BANNER":"Scrape større følgerlister, og berig dem i Datablist. Start med 500 gratis credits – intet betalingskort nødvendigt.","BANNER_CTA":"Få 500 gratis credits","RESULT_CTA":"Scrape større følgerlister i Datablist.","RESULT_CTA_BUTTON":"Åbn Datablist","HISTORY_TITLE":"Dine seneste scrapings","HISTORY_DESCRIPTION":"Åbn eller fjern en scraping fra denne browser i op til 24 timer. Hvis du fjerner den her, stopper det ikke scrapingen og gendanner ikke credits.","HISTORY_REMOVE":"Fjern {name} fra denne browser","HISTORY_COMPLETE":"Fuldført","HISTORY_FAILED":"Kræver opmærksomhed","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"I gang","DEBUG_NOTICE":"Debug-resultater fra beta-handlingen. Dette er testdata.","LABEL":"Instagram-profil-URL, brugernavn eller handle","PLACEHOLDER":"https://www.instagram.com/cristiano/ eller @nike","SCRAPE":"Scrape følgere","SCRAPING":"Scraper","SAFETY":"Kræver hverken Instagram-login, cookies eller adgangskode. Vi opretter aldrig forbindelse til din konto.","SAMPLES":"Eller prøv et eksempel:","ERRORS":{"EMPTY":{"REASON":"Indtast en Instagram-profil-URL, et brugernavn eller et handle."},"USERNAME":{"REASON":"Indtast et gyldigt Instagram-brugernavn."},"TOO_LONG":{"REASON":"Instagram-brugernavne må ikke overstige 30 tegn."},"CHARACTERS":{"REASON":"Ugyldige tegn i brugernavnet.","HINT":"Instagram-brugernavne må kun indeholde bogstaver, tal, punktummer og understregningstegn."},"RESERVED_HANDLE":{"REASON":"\"{value}\" er en Instagram-systemside, ikke en brugerprofil."},"BAD_URL":{"REASON":"Det ligner ikke en gyldig URL eller et gyldigt brugernavn.","HINT":"Indtast et link til en Instagram-profil (f.eks. https://www.instagram.com/cristiano/) eller et handle (@cristiano)."},"WRONG_SITE":{"REASON":"Det er et link til {value}, ikke Instagram.","HINT":"Angiv et link til en Instagram-profil (f.eks. instagram.com/username) eller et handle."},"HOMEPAGE":{"REASON":"Det er Instagrams startside, ikke en bestemt profil.","HINT":"Indsæt en profil-URL med et brugernavn til sidst, f.eks. instagram.com/nike/."},"POST":{"REASON":"Det er et link til et individuelt Instagram-opslag eller en reel, ikke en profil.","HINT":"For at scrape følgere skal du i stedet åbne forfatterens profilside og kopiere denne URL."},"STORY":{"REASON":"Det er et link til en Instagram Story.","HINT":"Stories er midlertidige og har ingen offentlig følgerliste. Indsæt creatorens profil-URL."},"EXPLORE":{"REASON":"Det er et Instagram-tag eller en Explore-side, ikke en profil.","HINT":"Indtast profil-URL'en for en creator, et brand eller en influencer for at scrape deres følgere."},"SYSTEM_PAGE":{"REASON":"Det peger på en Instagram-systemside, ikke en brugerprofil."},"PROFILE_USERNAME":{"REASON":"Profilens brugernavn i denne URL er ikke gyldigt.","HINT":"Kontrollér, at URL'en matcher https://www.instagram.com/username/."}},"SCRAPE_ERROR":"Scrapingen blev ikke gennemført. Prøv igen om et øjeblik.","RESULTS":"Her er de første {count} følgere for @{handle}, gratis.","USER":"Bruger","USER_ID":"Bruger-ID","ACCOUNT_PRIVACY":"Privatliv","PROFILE":"Profil","ID":"ID: {id}","VERIFIED":"Verificeret","PRIVATE":"Privat","PUBLIC":"Offentlig","VIEW":"Vis","COPIED":"Kopieret","COPY":"Kopiér","DOWNLOAD":"Download CSV","SCRAPE_FULL":"Scrape hele listen","RESULT_NOTE":"Den gratis forhåndsvisning viser {count} følgere uden kontaktoplysninger. Brug Datablists løsning til at scrape op til 2,000,000 følgere i bulk og sende dem gennem email- og telefonfindere:","SOURCE_LABEL":"Instagram Followers Scraper","CSV_HEADER":"Bruger-ID,Brugernavn,Fuldt navn,Verificeret,Privat,Profil-URL,Følger af","YES":"Ja","NO":"Nej","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"Gratis LinkedIn-profilscraper | Datablist","META_SOCIAL_TITLE":"Gratis LinkedIn-profilscraper","META_DESCRIPTION":"Slå en persons LinkedIn-profil op uden at forbinde din LinkedIn-konto. Få tilgængelige oplysninger om identitet, jobhistorik og uddannelse. Der gælder en daglig grænse.","SCHEMA_NAME":"Datablists gratis LinkedIn-profilscraper","BREADCRUMB_CURRENT":"LinkedIn-profilscraper","HERO":{"TITLE":"Gratis LinkedIn-profilscraper","DESCRIPTION":"Indsæt URL'en til en personprofil på LinkedIn eller Sales Navigator for at få tilgængelige oplysninger om profil, job og uddannelse. Kræver hverken LinkedIn-login eller sessionscookie."},"SAFETY":{"TITLE":"Ingen forbindelse til din LinkedIn-konto","ITEMS":[{"safe":true,"label":"Datablist","body":"Kun profilens URL er påkrævet. Behandlingen kører på Datablists infrastruktur uden dit LinkedIn-login, din sessionscookie eller en browserudvidelse."},{"safe":false,"label":"Chrome-udvidelser","body":"Evaboot, Skrapp og lignende browserværktøjer automatiserer klik og sidevisninger i din indloggede browsersession. LinkedIn registrerer og begrænser konti, der bruger automatisering på klientsiden."},{"safe":false,"label":"Cookiebaserede cloudværktøjer","body":"Phantombuster og cloud-aktører kræver, at du kopierer og indsætter din følsomme li_at-sessionscookie. Når du overlader din aktive session til delte tredjepartsservere, udsætter du din konto for risikoen for at blive registreret og udelukket."}]},"SOCIAL":{"TITLE":"Bruges af startups og store virksomheder","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Kopiér URL'en til en LinkedIn-profil","body":"Gå til den profil, du vil scrape på LinkedIn eller Sales Navigator, og kopiér linket fra browserens adresselinje. Både almindelige profil-URL'er (linkedin.com/in/...) og lead-URL'er fra Sales Navigator understøttes."},{"step":2,"title":"Indsæt URL'en her","body":"Indsæt URL'en i feltet ovenfor. Vi fjerner automatisk sporingsparametre (som trk og lipi) før behandlingen. Der kræves aldrig login, adgangskode, Chrome-udvidelse eller sessionscookie."},{"step":3,"title":"Hent strukturerede profiloplysninger","body":"Udtrækningen kører på Datablists dedikerede infrastruktur, helt adskilt fra din personlige LinkedIn-konto. Du får rene, strukturerede data retur: navn, headline, resumé, firmografiske oplysninger om nuværende arbejdsgiver, tidligere jobhistorik og uddannelse."}],"CTA":{"TITLE":"Scrape 20 profiler gratis på én gang","BODY":"En gratis Datablist-konto starter med 500 credits. Upload din CSV, og berig hele lister på få minutter.","LABEL":"Opret en gratis konto"}},"DATA":{"TITLE":"Hvilke data du får fra hver LinkedIn-profil","ITEMS":[{"icon":"UserCheck","title":"Identitet og lokation","description":"Centrale personoplysninger, der gør det muligt at identificere potentielle kunder præcist og segmentere målgrupper.","fields":["Fornavn","Efternavn","Fulde navn","Headline","Om / resumé","By, region og land","Landekode (ISO-2)"]},{"icon":"Database","title":"Nuværende rolle og firmografi","description":"Detaljerede arbejdsgiverdata til at vurdere ICP-match og målrette outbound-kommunikation.","fields":["Jobtitel","Virksomhedsnavn","Virksomhedens LinkedIn-URL","Virksomhedens website","Branche","Interval for antal medarbejdere","Rollens startdato og varighed","Rollebeskrivelse"]},{"icon":"BriefcaseIcon","title":"Karriere og jobhistorik","description":"Tilgængelige oplysninger om op til to tidligere roller.","fields":["To tidligere jobtitler","Navne på tidligere virksomheder","Ansættelsesperiode og datoer","Rollebeskrivelser og resultater"]},{"icon":"Layers","title":"Uddannelse og sprog","description":"Tilgængelige oplysninger om uddannelse og sprog.","fields":["Universitetets / skolens navn","Opnået grad","Studieretning","Datoer for afsluttet uddannelse","Talte sprog"]}]},"USE_CASES":{"TITLE":"Anvendelsesmuligheder","ITEMS":[{"title":"Personalisering af cold emails og beskeder","body":"Scrape potentielle kunders jobhistorik, nylige karriereskift og bio-resuméer for at skabe hyperpersonaliseret cold outreach, der rammer målgruppen og konverterer.","ctaLabel":"Guide til opbygning af leadlister","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Kandidatsøgning og rekruttering","body":"Udtræk komplette kandidatprofiler, herunder tilgængelige oplysninger om tidligere arbejdsgivere og uddannelse, direkte til en organiseret talentdatabase.","ctaLabel":"Guide til scraping af LinkedIn-oplysninger","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"Find verificerede arbejdsmails","body":"Omdan scrapede navne og virksomhedswebsites til verificerede professionelle emailadresser med Datablists waterfall email enrichment på tværs af 20+ udbydere.","ctaLabel":"Find emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Opdatering af kontakter og virksomheder i CRM","body":"Hold dine kontakter i Salesforce eller HubSpot opdaterede. Registrer automatisk jobskifte, nye forfremmelser og opdaterede firmografiske oplysninger uden manuel dataindtastning.","ctaLabel":"Guide til CRM-data enrichment","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"Sammenligning af LinkedIn-profilscrapere","INTRO":"De fleste LinkedIn-scrapere automatiserer enten din aktive session eller fakturerer for en uforudsigelig kørselstid. Datablist fungerer uafhængigt på sin egen cloudinfrastruktur med gennemskuelig pris pr. profil.","HEADERS":["Værktøj","LinkedIn-konto","Hvad det kræver","Pris","Pris / profil","CSV i bulk"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/linkedin-profile-scraper/datablist.png","values":["Opretter aldrig forbindelse til den","Kun offentlig profil-URL","$$25/md.","$$0.025","Ja, 100k+ rækker"],"best":true},{"tool":"Phantombuster","favicon":"/free-tools/linkedin-profile-scraper/phantombuster.png","values":["I fare","Sessionscookie (li_at)","$$69/md.","Faktureres pr. minut","Begrænset"],"best":false},{"tool":"Apify","favicon":"/free-tools/linkedin-profile-scraper/apify.svg","values":["I fare","Opsætning af actor / proxy-nøgler","$$29/md.","Varierer","Via API/JSON"],"best":false},{"tool":"Clay","favicon":"/free-tools/linkedin-profile-scraper/clay.png","values":["Sikker (databaseopslag)","Databaseopslag (ikke live)","$$185/md.","$$0.05 - $0.10","Ja"],"best":false},{"tool":"Evaboot","favicon":"/free-tools/linkedin-profile-scraper/evaboot.png","values":["I fare","Udvidelse på din konto","$$9/md.","$$0.09","Kun Sales Nav"],"best":false}],"NOTE":"Priserne er hvert værktøjs billigste abonnement ved månedlig fakturering og blev kontrolleret på hver udbyders aktuelle prisside i september 2026. Datablists pris pr. profil er beregnet ud fra 25 credits pr. profil med abonnementet til $25/måned.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"/pricing"},{"n":2,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify-priser","href":"https://apify.com/pricing"},{"n":4,"label":"Clay-priser","href":"https://clay.com/pricing"},{"n":5,"label":"Evaboot-priser","href":"https://evaboot.com/pricing"}],"CTA":{"TITLE":"Den eneste scraper, der aldrig opretter forbindelse til din LinkedIn-konto","BODY":"Start gratis med 500 credits. Ingen udvidelse, ingen sessionscookie og intet betalingskort påkrævet.","LABEL":"Opret en gratis konto"}},"RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i bulk?","ENRICHMENT":{"label":"LinkedIn-profilscraper","href":"/enrichments/linkedin-profile-scraper-bulk","blurb":"Behandl større lister med LinkedIn-profiler fra en CSV i Datablist uden at forbinde din LinkedIn-konto."},"TOOLS":[{"label":"Gratis Sales Navigator-scraper","href":"/tools/sales-navigator-scraper","blurb":"Udtræk leads fra Sales Navigator-søgninger uden at forbinde din konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Find verificerede arbejdsmails ud fra en persons navn og virksomhedens domæne."},{"label":"Gratis Domain Finder","href":"/tools/domain-finder","blurb":"Konvertér virksomhedsnavne til officielle websitedomæner med confidence scores."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"Forbinder Datablist til min LinkedIn-konto eller bruger sessionscookies?","answer":"Nej. Datablist forbinder aldrig til din LinkedIn-konto og beder aldrig om din adgangskode eller dine sessionscookies (li_at). Al scraping kører udelukkende på vores dedikerede cloudinfrastruktur med offentlige profildata, så enhver risiko for kontobegrænsninger eller udelukkelser elimineres."},{"question":"Kan jeg finde verificerede arbejdsmails til de scrapede profiler?","answer":"Ja. I Datablist kan du sende scrapede navne og virksomhedsdomæner gennem vores Waterfall Email Finder på tværs af 20+ dataudbydere for at finde og verificere emailadresser, og du betaler kun credits for bekræftede matches."},{"question":"Hvilke datapunkter udtrækkes fra hver LinkedIn-profil?","answer":"Værktøjet returnerer tilgængelige oplysninger om identitet, headline, resumé, lokation, sprog, forbindelser, nuværende job, op til to tidligere roller og den første uddannelsespost. Manglende felter forbliver tomme. Kompetencer, billeder og URN'er medtages ikke."},{"question":"Kan jeg scrape LinkedIn-profiler i bulk og bruge URL'er fra Sales Navigator?","answer":"Ja. Datablist accepterer almindelige URL'er til LinkedIn-profiler og lead-URL'er fra Sales Navigator. Du kan uploade en CSV med tusindvis af links for at scrape profiler i bulk med en hastighed på cirka 1.000 profiler på 3 minutter."},{"question":"Hvad koster det at scrape profiler i Datablist?","answer":"Scraping koster 25 credits pr. profil (20 credits for cachede data). Alle gratis konti inkluderer 500 gratis credits ved oprettelse (nok til 20 komplette profiler). Betalte abonnementer starter ved $25/måned for 5.000 credits, og credits udløber aldrig."},{"question":"Kan dette værktøj returnere cachede profildata?","answer":"Ja. Dette gratis værktøj accepterer cachede profiler. Data kan være ufuldstændige eller forældede. Det returnerer én nuværende rolle, op til to tidligere roller og én uddannelsespost, når de er tilgængelige. Det returnerer ikke kompetencer, profilbilleder eller en LinkedIn-URN. Hver kørsel reserverer 25 credits fra din daglige grænse på 25 credits pr. session og IP."}]}},"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":"Indtast én URL til en LinkedIn-profil eller et Sales Navigator-lead","PLACEHOLDERS":["https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"URL til LinkedIn-profil","REMOVE_ROW":"Fjern række {number}","ADD_ROW":"Tilføj endnu en række","ROW_LIMIT":"Én LinkedIn-profil pr. kørsel.","EMPTY":"Indsæt en URL til en LinkedIn-profil for at komme i gang","READY_ONE":"Klar til at slå denne profil op","READY_MANY":"Klar til at slå denne profil op","FIND_ONE":"Scrape profil","FIND_MANY":"Scrape profil","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Illustrative eksempelresultater. Denne forhåndsvisning bruger ingen credits.","REJECTED_ONE":"Ét input kunne ikke bruges. Kontrollér formatet.","REJECTED_MANY":"{count} input kunne ikke bruges. Kontrollér deres format.","OVERFLOW":"Der kan køres én profil ad gangen.","PROCESS_ALL":"Behandl alle {count}","NUMBER":"#","COMPANY_NAME":"Virksomhedsnavn","DOMAIN":"Domæne","CONFIDENCE":"Sikkerhed","STATUS":"Status","NO_MATCH":"Ingen profildata fundet","COPY_ROW":"Kopiér domæne for {name}","START_OVER":"Start forfra","COPY_ALL":"Kopiér CSV","DOWNLOAD_CSV":"Download CSV","DOWNLOAD_FILENAME":"linkedin-profile.csv","DOWNLOAD_JSON":"Download JSON","DOWNLOAD_JSON_FILENAME":"linkedin-profile.json","HIGH":"Høj","MEDIUM":"Middel","LOW":"Lav","VERY_LOW":"Meget lav","PRIVACY":"Dine input og resultater er tilgængelige i denne browser i 24 timer. Datablist opbevarer opgavedata længere for at gennemføre og understøtte kørslen.","UNAVAILABLE":"Dette gratis værktøj er midlertidigt utilgængeligt. Du kan stadig bruge Datablist-appen.","QUOTA_REACHED":"Du har brugt din daglige kvote til dette gratis værktøj. Kom tilbage om {hours} t. {minutes} min., eller fortsæt i Datablist.","QUOTA_RUN_TOO_LARGE":"Dette opslag overstiger din resterende daglige kvote til dette gratis værktøj. Prøv med færre navne, eller kom tilbage om {hours} t. {minutes} min.","QUOTA_REMAINING":"{remaining} af {limit} credits tilbage i dag","QUOTA_REDUCE":"{remaining} credits tilbage i dag. Dette profilopslag kræver 25 credits.","QUOTA_WAIT":"Den daglige kvote er brugt. Kom tilbage om {hours} t. {minutes} min.","CHALLENGE_REQUIRED":"Gennemfør verificeringen, før du starter opslaget.","RUN_FAILED":"Kørslen kunne ikke gennemføres. Du kan åbne eventuelle tilgængelige resultater eller prøve igen senere.","SUBMISSION_UNKNOWN":"Vi undersøger, om dit opslag blev startet. Genindlæs denne side for at kontrollere statussen. Undlad at indsende opslaget igen.","RETRY_STATUS":"Vi kunne ikke kontrollere opslaget lige nu. Genindlæs denne side for at prøve igen.","EXPIRED":"Dette resultat er ikke længere tilgængeligt i denne browser.","BANNER":"Har du brug for flere profiler? Fortsæt i Datablist.","BANNER_CTA":"Åbn Datablist","RESULT_CTA":"Berig en komplet liste med LinkedIn-profiler i Datablist.","RESULT_CTA_BUTTON":"Åbn Datablist","CSV_NAME":"Navn","LOADING":"Indlæser","ERROR":"Fejl","COMPLETE":"Fuldført","HISTORY_TITLE":"Dine seneste opslag","HISTORY_DESCRIPTION":"Åbn eller fjern et opslag fra denne browser, mens resultaterne er tilgængelige, i op til 24 timer. Hvis du fjerner det her, stoppes opslaget ikke, og credits tilbageføres ikke.","HISTORY_REMOVE":"Fjern {name} fra denne browser","HISTORY_COMPLETE":"Fuldført","HISTORY_FAILED":"Kræver handling","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"I gang","LABEL":"URL til LinkedIn-profil eller Sales Navigator-lead","PLACEHOLDER":"https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/...","SCRAPE":"Scrape profil","SAFETY":"Intet LinkedIn-login, ingen cookies eller sessions-id. Vi forbinder aldrig til din konto.","SAMPLES":"Eller prøv et eksempel:","RESULTS":"Her er de udtrukne oplysninger for {name}, helt gratis.","TABLE":"Datatabel","OVERVIEW":"Oversigtskort","PROPERTY":"Egenskab","VALUE":"Udtrukket værdi","IDENTITY":"Identitet og lokation","CURRENT":"Nuværende stilling og firmografi","HISTORY":"Jobhistorik ({count} stillinger)","EDUCATION_SKILLS":"Uddannelse og sprog","CONNECTIONS":"Forbindelser","LANGUAGES":"Sprog","NAME":"Fulde navn","FIRST_LAST":"For- og efternavn","HEADLINE":"Headline","SUMMARY":"Om / resumé","LOCATION":"Lokation","LOCATION_VALUE":"{location} (Land: {country})","PROFILE_URL":"Profil-URL","URN":"LinkedIn-URN","JOB":"Nuværende jobtitel","COMPANY":"Virksomhedsnavn","WEBSITE":"Virksomhedens website","INDUSTRY_SIZE":"Branche og størrelse","DATES":"Ansættelsesperiode / datoer","PREVIOUS_ROLE":"Tidligere rolle #{number}","ROLE_AT":"{title} hos {company}","EDUCATION":"Uddannelse #{number}","SKILLS":"Vigtigste kompetencer","BIO":"Om / bio","POSITION":"Nuværende stilling","PAST":"Tidligere erfaring","COPY_CSV":"Kopiér CSV","COPIED_CSV":"CSV kopieret","COPY_JSON":"Kopiér JSON","COPIED_JSON":"JSON kopieret","DOWNLOAD":"Download CSV","FULL_LIST":"Scrape hele listen","RESULT_NOTE":"Den gratis forhåndsvisning udtrækker komplette datapunkter fra en enkelt profil. Brug Datablists til at scrape hundredvis eller tusindvis af profiler i bulk fra en CSV helt uden risiko for din konto.","COPY_ERROR":"Kopieringen mislykkedes. Prøv igen, eller download CSV-filen.","CSV_HEADERS":["Fulde navn","Fornavn","Efternavn","Headline","Jobtitel","Virksomhedsnavn","Virksomhedens website","Virksomhedens LinkedIn-URL","Branche","Medarbejderinterval","By","Region","Land","Landekode","Normaliseret profil-URL","Resumé","Tidligere erfaring 1 – titel","Tidligere erfaring 1 – virksomhed","Tidligere erfaring 1 – datoer","Tidligere erfaring 2 – titel","Tidligere erfaring 2 – virksomhed","Tidligere erfaring 2 – datoer","Uddannelsesinstitution","Uddannelsesgrad","Sprog"],"ERRORS":{"EMPTY":{"REASON":"Indsæt en URL til en LinkedIn-profil.","HINT":"Eksempel: https://www.linkedin.com/in/satyanadella"},"INVALID_URL":{"REASON":"Dette ligner ikke en gyldig URL.","HINT":"Sørg for at indsætte et komplet link, der starter med linkedin.com"},"WRONG_SITE":{"REASON":"Det er ikke en LinkedIn-URL.","HINT":"URL'en peger på \"{value}\". Indsæt et link til en LinkedIn-profil."},"COMPANY":{"REASON":"Det er en virksomheds- eller institutionsside, ikke en personlig profil.","HINT":"Hvis du vil scrape personer, skal du indsætte URL'en til en individuel profil i formatet linkedin.com/in/username"},"SEARCH":{"REASON":"Det er en URL til søgeresultater, ikke en profil-URL.","HINT":"Prøv vores gratis Sales Navigator-scraper for at scrape søgeresultater. I dette værktøj skal du klikke på en profil og indsætte personens individuelle link."},"POST":{"REASON":"Det er et opslag eller en artikel i LinkedIn-feedet, ikke en profil.","HINT":"Klik på forfatterens navn for at se vedkommendes profil, og kopiér og indsæt derefter profilens URL."},"PATH":{"REASON":"LinkedIn-profilstien blev ikke genkendt.","HINT":"Indsæt et profillink, der matcher linkedin.com/in/username, eller en URL til et Sales Navigator-lead."}},"VERIFIED_PROFILE":"Verificeret profil","SCRAPED_CLEAN":"Profildata","ENRICHMENT_LABEL":"LinkedIn-profilscraper","RESULT_NOTE_SUFFIX":" bulk enrichment.","DEBUG_NOTICE":"Debug-resultater fra beta-handlingen. Dette er testdata, ikke et opslag af den indsendte person.","CHANGED":"Ændret","UNCHANGED":"Uændret","CSV_HEADER_LINE":"Fulde navn|Fornavn|Efternavn|Headline|Jobtitel|Virksomhedsnavn|Virksomhedens website|Virksomhedens LinkedIn-URL|Branche|Medarbejderinterval|By|Region|Land|Landekode|Normaliseret profil-URL|Resumé|Tidligere erfaring 1 – titel|Tidligere erfaring 1 – virksomhed|Tidligere erfaring 1 – datoer|Tidligere erfaring 2 – titel|Tidligere erfaring 2 – virksomhed|Tidligere erfaring 2 – datoer|Uddannelsesinstitution|Uddannelsesgrad|Sprog"}},"UseCaseAiScraping":{"PAGE_TITLE":"AI Web Scraping uden kode","PAGE_DESC":"Scrape tusindvis af websites med en simpel prompt. Datablist's AI Agent forstår dine behov, navigerer på sider og udtrækker strukturerede data—ingen kode nødvendig.","USE_CASE":"Anvendelsesområder","HERO_TITLE":"AI Web Scraping uden kode","HERO_DESC":"Scrape tusindvis af websites med en simpel prompt. Datablist's AI Agent forstår dine behov, navigerer på sider og udtrækker strukturerede data—ingen kode nødvendig.","PROBLEM_TITLE":"Traditionel web scraping holder ikke længere","PROBLEM_BODY":"Web scrapers, der bygger på CSS-selektorer, er skrøbelige og kræver konstant vedligeholdelse. En lille ændring i et websites layout kan ødelægge hele dit workflow. Datablist's AI Agent løser det ved at forstå indholdet som et menneske og er dermed robust over for website-opdateringer.","PROMPT_TITLE":"Fra simple prompts til strukturerede data","PROMPT_CONTENT_1":"Glem komplekse konfigurationer. Fortæl bare AI Agenten, hvad du har brug for, på helt almindeligt engelsk. Vil du finde navnet på CEO'en fra en 'About Us'-side? Bed om det. Har du brug for at udtrække produktpriser fra en kategoriside? Beskriv bare, hvad du leder efter.","PROMPT_CONTENT_2":"Agenten fortolker dine instruktioner, browser nettet og returnerer rene, strukturerede data direkte i dit regneark.","SCALE_TITLE":"Bygget til skalering, prissat for alle","SCALE_CONTENT_1":"Uanset om du skal scrape ti websites eller ti tusind, er vores AI Agent klar. Den håndterer tekniske detaljer som paginering og proxy-håndtering automatisk, så du kan fokusere på dataene, ikke processen.","SCALE_CONTENT_2":"Vores kreditbaserede system er omkostningseffektivt, så du kan køre scraping i stor skala uden at sprænge budgettet. Få de data, du har brug for, når du har brug for dem.","ROBUST_TITLE":"Tilpasser sig ethvert website, enhver ændring","ROBUST_CONTENT_1":"Det moderne web er dynamisk og ændrer sig konstant. Vores AI Agent er bygget til at være robust. Fordi den forstår konteksten og betydningen af data, er den ikke afhængig af en rigid website-struktur.","ROBUST_CONTENT_2":"Det betyder mere pålidelig dataudtræk og mindre tid brugt på at reparere ødelagte scrapers. Lad AI håndtere webbets kompleksitet for dig.","USECASES_TITLE":"Lås op for en verden af data med AI scraping","USECASES_LEADGEN_TITLE":"Sæt turbo på din leadgenerering","USECASES_LEADGEN_CONTENT_1":"Gå ud over basale firmografiske data. Brug AI Agenten til at scrape virksomheders websites for cases, anvendte teknologier eller seneste nyheder.","USECASES_LEADGEN_CONTENT_2":"Disse rige, kontekstuelle data er det perfekte brændstof til stærkt personlige og effektive outreach-kampagner.","USECASES_MARKET_TITLE":"Automatiser markeds- og konkurrentresearch","USECASES_MARKET_CONTENT_1":"Stop med at spilde timer på manuel research. Overvåg automatisk konkurrenters websites for produktopdateringer, prisændringer eller nye jobopslag.","USECASES_MARKET_CONTENT_2":"Indsaml kundeanmeldelser fra sider som Trustpilot eller Trusted Shops for at analysere sentiment og identificere markedstendenser.","USECASES_ECOMMERCE_TITLE":"E-commerce & produktovervågning","USECASES_ECOMMERCE_CONTENT_1":"Scrape uden besvær produktlister fra enhver e-commerce-side. Udtræk navne, priser, SKU'er, beskrivelser og kundeanmeldelser.","USECASES_ECOMMERCE_CONTENT_2":"Hold øje med dine konkurrenters lager, overvåg prisstrategier, eller aggreger produktdata til din egen platform.","BENEFITS_TITLE":"Kraftfuld scraping, gjort simpelt","BENEFITS_NOCODE_TITLE":"No-code interface","BENEFITS_NOCODE_BODY":"Ingen programmeringsfærdigheder påkrævet. Hvis du kan skrive en instruktion, kan du scrape nettet. Vores intuitive interface gør dataudtræk tilgængeligt for alle.","BENEFITS_FLEXIBLE_TITLE":"Fleksibel og konfigurerbar","BENEFITS_FLEXIBLE_BODY":"Tilpas dine scraping-opgaver præcist til dine behov. Udtræk et enkelt datapunkt eller et helt dataset. AI Agenten tilpasser sig dine specifikke krav.","BENEFITS_SCALABLE_TITLE":"Skalerbar og automatiseret","BENEFITS_SCALABLE_BODY":"Fra små opgaver til massive dataindsamlingsprojekter skalerer vores AI Agent med dig. Planlæg tilbagevendende scraping for at holde dine data friske og automatisk opdaterede.","BENEFITS_PRECISE_TITLE":"Præcis og struktureret output","BENEFITS_PRECISE_BODY":"Få de data, du har brug for, i et rent og organiseret format. AI Agenten leverer strukturerede resultater direkte i et regneark—klar til analyse eller eksport.","SEE_ALSO":"Se også","VIDEO_TITLE":"Se AI scraping i praksis","VIDEO_TEXT":"Se, hvordan du kan opbygge en skræddersyet lead scoring-model på under et minut med en simpel prompt. Ingen formler, intet bøvl."},"UseCaseDataCleaning":{"PAGE_TITLE":"Datarensning, automatiseret.","PAGE_DESC":"Datablist leverer en kraftfuld og brugervenlig værktøjskasse til at fjerne dubletter, normalisere og berige dine data, så kaos bliver til klarhed.","USE_CASE":"Anvendelsesområder","HERO_TITLE":"Datarensning, automatiseret.","VIDEO_TITLE":"Det #1 no-code datarensningsværktøj","VIDEO_TEXT":"Udtræk, konvertér og rens data med få klik. Ingen begrænsninger og helt sikkert ingen flere formler.","HERO_DESC":"Stop med at kæmpe med rodede regneark og overfyldte CRM'er. Datablist leverer en kraftfuld og brugervenlig værktøjskasse til at fjerne dubletter, normalisere og berige dine data, så kaos bliver til klarhed.","MASTER_TITLE":"Fra rodede data til indsigter, du kan handle på","MASTER_BODY":"Unøjagtige data koster dig tid og penge. Uanset om de stammer fra flere lead-kilder, scrapet webindhold eller forskellige team-input, fører rodede data til mislykkede kampagner og dårlige beslutninger. Datablist er din centrale hub til at rense, konsolidere og standardisere dine lister i stor skala, så dine data altid er pålidelige og klar til handling.","DEDUPE_CRM_TITLE":"Fjern dubletter i dit CRM og dine lister – intelligent","DEDUPE_CRM_CONTENT_1":"Dit CRM er din primære kilde, men dubletter gør det upålideligt. 'John Smith' og 'Jon Smith' hos 'Example Inc.' vs 'Example LLC' skaber forvirring. Datablist går ud over simpel matching.","DEDUPE_CRM_CONTENT_2":"Vores avancerede algoritmer (fuzzy, fonetisk og smart matching) finder og fletter lignende personer og virksomheder og konsoliderer deres oplysninger uden at miste kritiske data. Rens Pipedrive, HubSpot eller enhver CRM-eksportfil på få minutter.","MERGE_TITLE":"Konsolider data på tværs af flere filer","MERGE_CONTENT_1":"Du har leads i tre forskellige regneark og kundedata i et andet. Hvordan kombinerer du dem uden at skabe flere dubletter? Manuel sammensmeltning af filer er langsom og fejlbehæftet.","MERGE_CONTENT_2":"Datablist gør det nemt. Importér alle dine lister, definér en unik identifikator som en email eller et website, og lad vores værktøjer flette posterne. Vi kombinerer data fra flere kilder til én ren masterliste.","NORMALIZE_TITLE":"Standardiser og normaliser data med et klik","NORMALIZE_CONTENT_1":"Inkonsistente data er ubrugelige data. Telefonnummer i forskellige formater, jobtitler med blandet store/små bogstaver og rodede URL'er forhindrer effektiv filtrering og automatisering. At rette dette manuelt, række for række, er en tidskrævende opgave.","NORMALIZE_CONTENT_2":"Brug Datablists bulk-redigeringsværktøjer til at rette datatyper, rette store/små bogstaver, fjerne ekstra mellemrum og normalisere telefonnumre og URL'er på tværs af tusindvis af poster øjeblikkeligt. Sæt en standard og anvend den på hele dit datasæt.","CLEANING_GRID_TITLE":"Din komplette værktøjskasse til datarensning","CLEANING_GRID_DESC":"Alt, hvad du skal bruge, for at forvandle rå, rodede data til en værdifuld, organiseret ressource.","GRID_DEDUPE_TITLE":"Avanceret deduplikering","GRID_DEDUPE_BODY":"Find og flet lignende poster med smarte, fuzzy og fonetiske matching-algoritmer, som simple regneark ikke kan håndtere.","GRID_MERGE_TITLE":"Flet og konsolider lister","GRID_MERGE_BODY":"Kombinér flere CSV- eller Excel-filer til én masterliste ved hjælp af en unik nøgle til at opdatere og konsolidere poster.","GRID_FIX_TITLE":"Ret datatyper","GRID_FIX_BODY":"Konvertér nemt tekstfelter til strukturerede data som datoer, tal eller checkbokse for nøjagtig sortering og filtrering.","GRID_AI_TITLE":"AI-drevet rensning","GRID_AI_BODY":"Brug vores AI Editing-værktøj til at generere brugerdefinerede skripter fra simple tekstprompts. Håndter komplekse renseopgaver uden at skrive kode.","GRID_ENRICH_TITLE":"Berig og udfyld huller","GRID_ENRICH_BODY":"Fuldend dine poster ved at berige dem med manglende data. Find virksomhedsdomæner, valider emails og hent profilinformation.","GRID_CONSOLIDATE_TITLE":"Konsolider værdier","GRID_CONSOLIDATE_BODY":"Flet modstridende data fra dubletter. Kombinér flere telefonnumre eller noter til én ren post uden at miste information.","LEARN_MORE":"Læs mere","SEE_ALSO":"Se også"},"UseCaseInventoryManagement":{"PAGE_TITLE":"Automatisér din lagerstyring for e‑handel","PAGE_DESC":"Stop med at spilde timer på manuelle opdateringer. Hent, rens, oversæt og synkroniser automatisk leverandørkataloger til alle dine salgskanaler med vores kraftfulde no-code-platform.","USE_CASE":"Anvendelsesområder","HERO_TITLE":"Automatisér din lagerstyring for e‑handel","HERO_DESC":"Stop med at spilde timer på manuelle opdateringer. Hent, rens, oversæt og synkroniser automatisk leverandørkataloger til alle dine salgskanaler med vores kraftfulde no-code-platform.","INTRO_TITLE":"Fra rodede kataloger til perfekte produktlister","INTRO_BODY":"Håndtering af produktdata fra flere leverandører er et mareridt af uens formater, dubletter og endeløse manuelle rettelser. Datablist omdanner dette kaos til et strømlinet, automatiseret workflow, så dit lager altid er korrekt, opdateret og perfekt formateret til enhver markedsplads.","VIDEO_TITLE":"Se AI-redigering i aktion","VIDEO_TEXT":"Se, hvordan du opdaterer katalogets enheder med en simpel prompt. Ingen formler, intet bøvl.","FETCH_TITLE":"Hent leverandørkataloger automatisk","FETCH_CONTENT_1":"Glem manuelle downloads og rodede email-vedhæftninger. Opsæt automatiserede importflows, der henter katalogfiler fra enhver kilde – det kan være en URL, en FTP-server eller en API. Planlæg opdateringer dagligt, ugentligt eller månedligt, så dine data altid er friske.","FETCH_CONTENT_2":"Vores smarte web scrapers kan endda udtrække produktdata direkte fra leverandørers websites, så du får en konstant strøm af de nyeste oplysninger uden at løfte en finger.","TRANSFORM_TITLE":"Transformér og standardisér data med AI","TRANSFORM_CONTENT_1":"Leverandørdata er sjældent klar til din webshop. Brug vores pakke af no-code renseværktøjer til at standardisere kategorier, fjerne juridiske endelser fra brandnavne, formatere priser og flette dubletter.","TRANSFORM_CONTENT_2":"Gå endnu videre med AI-drevne transformationer. Generér automatisk overbevisende produktbeskrivelser, oversæt indhold til internationale markeder, og sørg for, at hver produktside er optimeret til konvertering.","SYNC_TITLE":"Synkroniser til enhver e‑handelsplatform eller markedsplads","SYNC_CONTENT_1":"Når dine data er rene og standardiserede, kan du publicér dem der, hvor du sælger. Datablist forbereder sømløst dit katalog til enhver destination, inklusive Shopify, WooCommerce, Amazon og meget mere.","SYNC_CONTENT_2":"Vores system giver klare statusopdateringer for hver synkronisering med automatiske genforsøg ved fejl. Administrér hele din multikanal-drift fra én pålidelig single source of truth.","BENEFITS_TITLE":"Styrken ved et automatiseret lager-workflow","BENEFITS_SCALE_TITLE":"Håndter enorme kataloger","BENEFITS_SCALE_BODY":"Administrer uden besvær produktlister med hundredtusinder eller endda millioner af varer. Vores platform er bygget til performance og skalering.","BENEFITS_FLEXIBLE_TITLE":"Fleksibel og nem at konfigurere","BENEFITS_FLEXIBLE_BODY":"Vores intuitive no-code-grænseflade lader dig bygge komplekse data-transformation workflows på få minutter, ikke uger. Ingen udviklere påkrævet.","BENEFITS_RELIABLE_TITLE":"Pålidelig og automatiseret","BENEFITS_RELIABLE_BODY":"Opsæt dine workflows én gang og lad dem køre. Med tydelig statussporing og synkroniseringer, der kan forsøges igen, kan du stole på, at dine data altid er, hvor de skal være.","BENEFITS_COST_TITLE":"Kraftfuldt og omkostningseffektivt","BENEFITS_COST_BODY":"Udnyt vores kreditbaserede system og betal kun for det, du bruger. Få automatisering på enterprise-niveau til en brøkdel af prisen for traditionelle løsninger.","TRANSLATE_TITLE":"Oversæt produktkataloger til globale markeder","TRANSLATE_CONTENT_1":"Udvid din e‑handel til internationale markeder ved automatisk at oversætte dine produktkataloger med Datablist AI. Gå videre end simpel oversættelse ved at lokalisere produktnavne, så de matcher, hvordan lokale kunder faktisk søger.","TRANSLATE_CONTENT_2":"Vores AI bevarer kritiske HTML- og JSON-strukturer i beskrivelser og specifikationer og forhindrer tekniske fejl ved genupload til platforme som Shopify eller WooCommerce. Denne kraftfulde no-code-løsning hjælper dig med at skalere globalt til en brøkdel af prisen på traditionelle værktøjer.","TRANSLATE_CTA":"Sådan oversætter du et produktkatalog","FILTER_TITLE":"Dyk ned i ethvert katalog – uanset størrelsen","FILTER_CONTENT_1":"Stop med at slås med regneark, der crasher under vægten af dit lager. Datablist er bygget til at håndtere enorme produktkataloger med op til 1,5 millioner varer og overgår langt grænserne i værktøjer som Airtable eller Google Sheets.","FILTER_CONTENT_2":"Find hurtigt præcis det, du har brug for, med kraftfulde filtreringsværktøjer. Gå ud over simple søgninger ved at kombinere flere betingelser med AND/OR-logik og filtergrupper til avancerede forespørgsler. For maksimal præcision kan du bruge regulære udtryk til at finde produkter baseret på specifikke mønstre i deres SKU'er, titler eller beskrivelser.","FILTER_CONTENT_3":"Gentag ikke dit arbejde. Du kan gemme ethvert sæt af komplekse filtre som et brugerdefineret \"Segment\" for hurtig adgang senere. Disse gemte filtre er perfekte til at skabe dynamiske lister som \"nye varer\" eller \"kampagnevarer\" og deles automatisk med dit team, så alle arbejder ud fra samme visning.","SEE_ALSO":"Se også"},"UseCaseLeadBuilding":{"PAGE_TITLE":"Lead Building til growth teams","PAGE_DESC":"Det bedste værktøj til at dykke ned i lead-lister i stor skala. Organisér, berig og find de perfekte prospects.","HERO_TITLE":"Opbygning af lead-lister til growth teams","USE_CASE":"Use Cases","HERO_DESC":"Det bedste værktøj til at dykke ned i lead-lister i stor skala. Organisér, berig og find de perfekte prospects.","MASTER_TITLE":"Håndter store mængder af leads","MASTER_BODY":"Datablist er designet til at håndtere millioner af poster. Definér din lead-datastruktur, og begynd at arbejde med dine data på en åben og tech-venlig platform. Organisér dine leads med vores regnearks-lignende interface, eller via vores API for at bygge komplekse dataplatforme. Fra dine high-volume lead-lister kan du finde kvalificerede leads at kontakte.","CRM_TITLE":"Byg lead-lister før de lander i din Sales CRM","CRM_CONTENT_1":"CRM-værktøjer er perfekte til at tracke engagerede prospects. Men de egner sig ikke til hundredtusinder af leads. Dit growth team har brug for et datalager forud for CRM'en til at konsolidere og håndtere high-volume leads.","CRM_CONTENT_2":"At gemme kolde leads i din CRM er den bedste måde at forurene den og få dyre fakturaer.","DATABASE_TITLE":"Stop med at gemme leads i en tilpasset database","DATABASE_CONTENT_1":"Opbevarer du dine leads i en tilpasset database, Excel, Airtable eller et datalager? At vælge en af dem betyder kompromiser. Fleksibilitet over skalerbarhed. Eller kompleksitet over enkelhed.","DATABASE_CONTENT_2":"Datablist kombinerer styrken fra en tilpasset database med fleksibiliteten fra Airtable. Spar penge og tid uden kompromiser.","NOCODE_TITLE":"Let at bruge og tech-venligt værktøj","NOCODE_CONTENT_1":"Administrér dine leads med et regnearks-lignende interface. Kraftig filtrering og søgning lader dig udforske hundredtusinder af leads på sekunder.","NOCODE_CONTENT_2":"Med Datablist har CSV-filer førsteklasses status. Importér store CSV-filer og kombiner dem med unikke id'er for at opbygge dine lead-lister. Dine data er dine data. Eksportér dine leads til en CSV-fil for at bruge dem med andre værktøjer med et enkelt klik.","NOCODE_CONTENT_3":"Vil du længere? Automatisér dit dataflow med serverless functions forbundet til vores åbne API.","CENTRALIZE_TITLE":"Centralisér alle dine lead-kilder i ét datalager","CENTRALIZE_SCRAPING_TITLE":"Din scraping-destination","CENTRALIZE_SCRAPING_CONTENT_1":"Udtræk data fra eksterne kilder og gem dem i dit datalager.","CENTRALIZE_SCRAPING_CONTENT_2":"Scrape leads fra sociale netværk (LinkedIn, Facebook, Xing), virksomhedskataloger (Crunchbase, AngelList), online communities osv.","CENTRALIZE_NEWSLETTER_TITLE":"Nyhedsbrevsabonnenter","CENTRALIZE_NEWSLETTER_CONTENT_1":"Track og berig dine mailingliste-abonnenter for at finde prospects med høj værdi.","CENTRALIZE_NEWSLETTER_CONTENT_2":"Brug dine mailingliste-webhooks til at få brugsdata og finde engagerede leads.","CENTRALIZE_SIGNUP_TITLE":"Berig dine nye brugere","CENTRALIZE_SIGNUP_CONTENT_1":"Registrér brugere med midlertidige eller professionelle emailadresser. Berig automatisk dine nye brugere, find deres LinkedIn-profil, og engagér med brugere med højt potentiale.","CENTRALIZE_SIGNUP_CONTENT_2":"Forbind dine produktbrugsdata for at bygge en Customer Data Platform (CDP).","CENTRALIZE_MAGNET_TITLE":"Gem lead magnet-downloads","CENTRALIZE_MAGNET_CONTENT_1":"Gem alle dine nye leads fra whitepaper-downloads, webinars og fysiske events i én liste.","CENTRALIZE_MAGNET_CONTENT_2":"Berig manuelt eller med vores integrerede enrichment APIs for at opdage muligheder.","ENRICH_TITLE":"Ryd op i og berig dine leads","ENRICH_COMPANIES_TITLE":"Berig virksomheder og profiler","ENRICH_COMPANIES_BODY":"Få komplette profiloplysninger med integrerede enrichment-tjenester. Få LinkedIn-konti fra emailadresser, eller emailadresser ud fra dine leads' navne. Berig i stor skala fra enhver tjeneste, eller forbind dine egne.","CLEAN_TITLE":"Ryd op i dine data","CLEAN_BODY":"Hold dine data friske med Datablists læse- og skrive-datalager. Brug vores Data Cleansing-funktioner til at rense dine leads i stor skala. Validér emailadresser for at finde udbydere af midlertidige emailadresser og udeluk dem fra dine kampagner.","DEDUPLICATE_TITLE":"Deduplicer dine leads","DEDUPLICATE_BODY":"Fjern dublet-leads på et øjeblik med Datablist Duplicates Finder. Vælg en eller flere egenskaber for automatisk deduplikering. Flet modstridende data med Datablist Merge Assistant.","MERGE_TITLE":"Opret unikke lead-profiler","MERGE_BODY":"Definér unikhed på dit leads emailadresse eller virksomhedens website for at skabe unikke lead-profiler. Opdatér dine leaddata eller konsolider eksterne lister ved hjælp af dine unikke egenskaber.","SEE_ALSO":"Se også","DATA_SOURCES":"Data- og lead-kilder","DATA_SOURCES_DESCRIPTION":"Boost din pipeline med vores kraftfulde indbyggede lead-kilder!","AI_RESEARCH_AGENT":"AI Research Agent","AI_RESEARCH_AGENT_DESCRIPTION":"Skalér research på dine poster, eller opsæt automatiserede Google-søgninger med én simpel prompt.","ENRICHMENTS":"Berigelser","ENRICHMENTS_DESCRIPTION":"Skab kraftfulde workflows med vores brugervenlige berigelser"},"IndustryRecruiting":{"PAGE_TITLE":"Smartere rekruttering starter her","PAGE_DESC":"Den essentielle no-code platform for rekrutteringsbureauer. Scrape jobopslag, berig virksomhedsdata, og find direkte kontaktoplysninger til ansættelsesansvarlige.","HERO_TITLE":"Smartere rekruttering starter her","INDUSTRY_LABEL":"Brancher","HERO_DESC":"Den essentielle no-code platform for rekrutteringsbureauer. Scrape jobopslag, berig virksomhedsdata, og find direkte kontaktoplysninger til ansættelsesansvarlige.","WHY_DATABLIST_TITLE":"Stop med at lede. Begynd at placere kandidater.","WHY_DATABLIST_BODY":"Manuel sourcing er langsom, repetitiv og giver inkonsistente resultater. Datablist automatiserer de mest trættende dele af sourcing af nye kunder og kandidater, så du kan fokusere på det, du er bedst til: at opbygge relationer og lukke placeringer.","FIND_JOBS_TITLE":"Afdæk alle rekrutteringsmuligheder","FIND_JOBS_CONTENT_1":"Gå aldrig glip af et lead. Brug vores AI Scraper til at udtrække jobopslag fra enhver jobportal som LinkedIn, Indeed, eller fra en liste over målvirksomheders karrieresider.","FIND_JOBS_CONTENT_2":"Opbyg nemt en realtidsdatabase over ledige stillinger, der matcher dine keywords og din ekspertise, og få en konstant strøm af kvalificerede kunde-leads.","FIND_CONTACTS_TITLE":"Identificér de rette beslutningstagere","FIND_CONTACTS_CONTENT_1":"Et jobopslag er kun begyndelsen. Datablist beriger virksomhedsdata for at afdække personerne bag titlerne. Identificér afdelingsledere, team leads og ansættelsesansvarlige i dine målvirksomheder.","FIND_CONTACTS_CONTENT_2":"Segmentér dine lister efter jobtitel, afdeling eller senioritet, så din outreach altid er rettet mod personen med ansættelseskompetence.","GET_DETAILS_TITLE":"Tag direkte kontakt – med det samme","GET_DETAILS_CONTENT_1":"Stop med at spilde tid på at lede efter kontaktoplysninger. Vores kraftfulde waterfall enrichment finder verificerede, professionelle email-adresser og direkte telefonnumre til dine målkontakter.","GET_DETAILS_CONTENT_2":"Med en højere succesrate og en omkostningseffektiv, kreditbaseret model kan du opbygge anvendelige kontaktlister hurtigere og billigere end nogensinde før.","BENEFITS_TITLE":"En unfair fordel for dit bureau","EASY_USE_TITLE":"Kom i gang på få minutter","EASY_USE_BODY":"Kom i gang med det samme med vores intuitive interface, der minder om et regneark. Ingen tekniske færdigheder kræves for at bygge stærke sourcing workflows.","FLEXIBLE_TITLE":"Dit workflow, på din måde","FLEXIBLE_BODY":"Tilpas hvert trin – fra scraping-mål til enrichment-sekvenser. Datablist tilpasser sig din unikke sourcing-strategi, ikke omvendt.","COST_EFFECTIVE_TITLE":"Pay-as-you-go Power","COST_EFFECTIVE_BODY":"Vores kreditbaserede system betyder, at du kun betaler for det, du bruger. Perfekt til bureauer i alle størrelser – fra solorekruttere til store teams.","ALL_IN_ONE_TITLE":"Alt samlet ét sted","ALL_IN_ONE_BODY":"Fra scraping og cleaning til enrichment og eksport. Administrér hele din kunde- og kandidat-datapipeline uden at jonglere med flere værktøjer.","SEE_ALSO":"Se også","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"Udtræk strukturerede data fra ethvert website med en simpel prompt. Perfekt til jobportaler, virksomhedssider og mere.","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESCRIPTION":"Skab kraftfulde workflows med vores brugervenlige enrichments til virksomheds- og kontaktdata.","FAQ_Q1":"Hvordan finder Datablist ledige stillinger?","FAQ_A1":"Vores Job Postings Scraper scanner over 19 store jobportaler, inklusive Indeed og Glassdoor. Du kan også bruge vores AI Agent til automatisk at scrape specifikke virksomheders karrieresider eller enhver niche-jobportal, så du får en konstant strøm af kunde-muligheder.","FAQ_Q2":"Hvordan finder I kontaktoplysninger på ansættelsesansvarlige?","FAQ_A2":"Når du har en liste over virksomheder, finder vores Waterfall People Search enrichment de rette kontakter i de organisationer. Du kan søge efter jobtitel, senioritet eller afdeling for præcist at udpege beslutningstagere.","FAQ_Q3":"Er kontaktoplysningerne præcise og verificerede?","FAQ_A3":"Ja. Vores Waterfall Email Finder og Phone Finder forespørger flere dataleverandører for at finde verificerede, professionelle email-adresser og direkte telefonnumre. Denne multi-source tilgang giver en højere succesrate end værktøjer fra en enkelt leverandør.","FAQ_Q4":"Risikerer jeg min LinkedIn-konto ved at bruge jeres scrapers?","FAQ_A4":"Nej. I modsætning til browser-udvidelser kører vores scrapers fra skyen og kræver ikke dine personlige LinkedIn-loginoplysninger. Det holder din konto 100 % sikker mod begrænsninger eller udelukkelser.","FAQ_Q5":"Hvad koster det?","FAQ_A5":"Datablist bruger et fleksibelt, pay-as-you-go kredit-system. Du betaler kun for de data, du får. For eksempel er en kredit-opfyldning på $20 nok til at scrape tusindvis af jobopslag. Denne model er perfekt til bureauer i alle størrelser og lader dig skalere din sourcing uden en stor upfront-investering.","FAQ_Q6":"Kan jeg målrette stillinger i bestemte brancher eller lokationer?","FAQ_A6":"Ja. Vores job-scrapers har avancerede filtre, der lader dig målrette jobopslag efter keywords, branche, virksomhedsstørrelse, lokation og senioritetsniveau. Du kan endda udelukke rekrutteringsbureauer for kun at fokusere på direkte arbejdsgivere.","FAQ_Q7":"Jeg har rodede kandidatlister. Kan Datablist hjælpe med at rense dem?","FAQ_A7":"Helt sikkert. Datablist inkluderer kraftfulde værktøjer til data cleaning og deduplikering. Du kan nemt flette duplikerede kontakter fra forskellige kilder, standardisere jobtitler og formatere dine data uden komplekse formler.","FAQ_Q8":"Kan jeg automatisere sourcing-processen?","FAQ_A8":"Ja. Du kan planlægge, at job-scrapers kører dagligt, ugentligt eller månedligt. Datablist finder automatisk nye jobopslag, der matcher dine kriterier, og giver dig en stabil kilde til friske leads."},"IndustryVentureCapital":{"PAGE_TITLE":"Operativsystemet for moderne VC'er","PAGE_DESC":"Find, vurder og følg tusindvis af startups med en AI-drevet dataplatform. Drop de rodede regneark og rigide CRM'er. Byg jeres dealflow-motor med Datablist.","INDUSTRY_LABEL":"Brancher","HERO_TITLE":"Operativsystemet for moderne VC'er","HERO_DESC":"Find, vurder og følg tusindvis af startups med en AI-drevet dataplatform. Drop de rodede regneark og rigide CRM'er. Byg jeres dealflow-motor med Datablist.","WHY_DATABLIST_TITLE":"Jeres CRM er ikke bygget til venturekapital","WHY_DATABLIST_BODY":"CRM'er er til salgspipelines, ikke dealflow. De er rigide, dyre og slår fejl, når de skal følge de tusindvis af early-stage-virksomheder på jeres radar. Datablist er en fleksibel, skalerbar datahub designet til at håndtere de unikke dataudfordringer i venturekapital.","SOURCE_DEALS_TITLE":"Find deals, før de bliver almen viden","SOURCE_DEALS_CONTENT_1":"Gå ud over jeres netværk og inbound-forespørgsler. Brug vores AI Scraper til at finde lovende startups fra platforme som ProductHunt, IndieHackers og andre nichekataloger.","SOURCE_DEALS_CONTENT_2":"Få en fordel ved først at identificere virksomheder med stort potentiale og følge spirende trends, før de rammer mainstream.","TRACK_COMPANIES_TITLE":"Følg vækstsignaler – ikke kun fundingrunder","TRACK_COMPANIES_CONTENT_1":"Funding er en efterslæbende indikator for succes. Følg vækstsignaler i realtid, der betyder noget. Vores scrapers til jobportaler identificerer, hvilke startups der ansætter til nøglepositioner—et klart tegn på product-market fit og skalering.","TRACK_COMPANIES_CONTENT_2":"Overvåg ansættelsestendenser for at vurdere en virksomheds kurs og træffe datadrevne investeringsbeslutninger.","SCORE_STARTUPS_TITLE":"Byg tilpassede scoringmodeller med AI","SCORE_STARTUPS_CONTENT_1":"Stop med kun at stole på mavefornemmelsen. Brug vores AI Editing-værktøjer til at bygge kraftfulde, tilpassede scoringsalgoritmer. Ranger startups baseret på teamets erfaring, tech stack, markedssignaler og jeres egne unikke kriterier.","SCORE_STARTUPS_CONTENT_2":"Identificer systematisk og fokuser jeres teams energi på de øverste 1 % af mulighederne i jeres pipeline.","DILIGENCE_TITLE":"Alle de værktøjer, I skal bruge til due diligence og tracking","FEATURE_DATA_TITLE":"Datakonsolidering","FEATURE_DATA_BODY":"Rens, deduplikér og flet data fra flere kilder i én masterliste. Hold jeres startup-database ren og pålidelig.","FEATURE_ENRICH_TITLE":"Virksomhedsberigelse","FEATURE_ENRICH_BODY":"Berig automatisk virksomhedsprofiler med firmografiske data, tech stacks, websitedata og mere for et 360-graders overblik.","FEATURE_CONTACTS_TITLE":"Outreach til founders","FEATURE_CONTACTS_BODY":"Find verificerede emails og telefonnumre på founders og nøgleledere med vores Waterfall Enrichment. Få den første kontakt til at tælle.","FEATURE_API_TITLE":"API & integrationer","FEATURE_API_BODY":"Forbind Datablist til jeres interne værktøjer og automatiser hele jeres data workflow med vores fleksible, udviklervenlige API.","SEE_ALSO":"Se også","VIDEO_TITLE":"Se AI Agent i aktion","VIDEO_TEXT":"Se, hvordan AI Agent kan besøge en liste med startup-websites og udtrække strukturerede kontaktoplysninger. En opgave, som traditionelle scrapers ikke kan løse.","FAQ_Q1":"Hvordan adskiller Datablist sig fra et traditionelt CRM?","FAQ_A1":"CRM'er er designet til lineære salgsprocesser og bliver uoverskuelige, når man skal følge tusindvis af potentielle deals. Datablist er en fleksibel datahub bygget til skalaen og kompleksiteten i venturekapitalens dealflow, så I kan håndtere enorme mængder startup-data uden rigiditeten i en salgspipeline.","FAQ_Q2":"Kan Datablist hjælpe os med at finde nye startups?","FAQ_A2":"Ja. I kan bruge vores AI Agent til at scrape startup-kataloger som ProductHunt eller IndieHackers for at finde lovende virksomheder, før de kommer på alles radar. Det hjælper jer med at opdage deals med stort potentiale tidligt.","FAQ_Q3":"Hvilke typer vækstsignaler kan vi følge?","FAQ_A3":"I stedet for kun at læne jer op ad funding-annonceringer kan I følge vækstindikatorer i realtid. Vores scrapers til jobportaler finder startups, der aktivt ansætter til nøglepositioner, hvilket er et stærkt signal om vækst og product-market fit.","FAQ_Q4":"Hvordan fungerer AI-scoringmodellen?","FAQ_A4":"I kan bygge tilpassede scoringmodeller med vores AI-værktøjer. I definerer de kriterier, der er vigtige for jeres tese—som teamets erfaring, tech stack eller markedstendenser—og AI'en genererer et script til at rangere alle startups i jeres pipeline, så I kan fokusere på de bedste muligheder.","FAQ_Q5":"Vores data er rodede og spredt ud over flere regneark. Hvordan kan I hjælpe?","FAQ_A5":"Datablist er stærk til datakonsolidering. I kan importere data fra flere kilder og derefter bruge vores værktøjer til at rense, deduplikere og flette alt til en enkelt, pålidelig masterliste over startups.","FAQ_Q6":"Hvordan håndterer Datablist tusindvis af virksomheder? Bliver det langsomt?","FAQ_A6":"Datablist er bygget til at håndtere store datasæt og klarer op til 1,5 millioner poster pr. liste—langt over grænserne for regneark eller værktøjer som Airtable. I kan filtrere, sortere og administrere tusindvis af virksomheder hurtigt uden performanceproblemer.","FAQ_Q7":"Kan I hjælpe os med at finde kontaktoplysninger på founders?","FAQ_A7":"Ja. Når I har identificeret en lovende startup, kan vores Waterfall Enrichment-værktøjer finde verificerede emails og telefonnumre på founders og nøglepersoner, så jeres første outreach bliver mere effektiv.","FAQ_Q8":"Skal vi bruge en udvikler for at bruge Datablist?","FAQ_A8":"Nej. Datablist er en no-code platform med en brugervenlig regnearksgrænseflade. I kan bygge komplekse data workflows—fra sourcing til scoring—uden at skrive kode."},"IndustryRetailAndECommerce":{"PAGE_TITLE":"Strømlin din detail- og e-handelsdrift","PAGE_DESC":"Administrer dine produktkataloger, leverandørfeeds og kundedata nemt. Datablist er den fleksible no-code-platform til detail- og e-handelsvirksomheder.","HERO_TITLE":"Strømlin din detail- og e-handelsdrift","INDUSTRY":"Branche","HERO_DESC":"Administrer dine produktkataloger, leverandørfeeds og kundedata nemt. Datablist er den fleksible no-code-platform til detail- og e-handelsvirksomheder.","MASTER_TITLE":"Dit centrale hub for e-handelsdata","MASTER_BODY":"Stop med at jonglere med flere regneark og komplekse databaser. Datablist giver dig én, brugervenlig platform til at administrere alle dine e-handelsdata. Vores fleksible no-code-interface og kreditbaseret prissætning gør det til en omkostningseffektiv løsning for virksomheder i alle størrelser.","PRODUCT_CATALOG_TITLE":"Konsolider og rens dit produktkatalog","PRODUCT_CATALOG_CONTENT_1":"Importer produktdata fra enhver kilde og konsolider dem i ét samlet, rent katalog. Vores kraftfulde værktøjer til datarensning hjælper dig med at standardisere enheder, priser og endda fjerne HTML fra beskrivelser.","PRODUCT_CATALOG_CONTENT_2":"Med Datablist kan du nemt administrere tusindvis af produkter og sikre, at dine data altid er nøjagtige og opdaterede.","SUPPLIER_FEEDS_TITLE":"Automatiser dine leverandørfeeds","SUPPLIER_FEEDS_CONTENT_1":"Hent automatisk leverandørernes pris- og lagerfeeds for at holde dit lager synkroniseret. Datablist kan forbinde til eksterne API'er, så integration med dine leverandørers systemer er nem.","SUPPLIER_FEEDS_CONTENT_2":"Spar tid og reducer fejl ved at automatisere denne kritiske del af din drift.","FEATURES_TITLE":"Alt, du skal bruge for at få succes","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"Konsolider produktkataloger","CONSOLIDATE_PRODUCT_CATALOG_BODY":"Flet produktdata fra flere leverandører og kilder i ét masterkatalog.","CLEAN_DATA_TITLE":"Rens dine data","CLEAN_DATA_BODY":"Standardiser og rens produktinformation, inkl. enheder, priser og HTML, for et ensartet og professionelt udtryk.","TRANSLATE_PRODUCT_TITLE":"Oversæt produktinformation","TRANSLATE_PRODUCT_BODY":"Oversæt nemt produkttitler og -beskrivelser for at nå et globalt publikum.","GENERATE_PRODUCT_TEXT_TITLE":"Generer produkttekster med AI","GENERATE_PRODUCT_TEXT_BODY":"Brug AI til at generere overbevisende produktbeskrivelser og andet indhold, så du sparer tid og kræfter.","SYNC_TO_EXTERNAL_APIS_TITLE":"Synkroniser til eksterne API'er","SYNC_TO_EXTERNAL_APIS_BODY":"Integrer med dine andre værktøjer og systemer ved at synkronisere dine data med eksterne API'er.","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"Hent leverandørfeeds","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"Opdater automatisk din produktinformation ved at hente de nyeste pris- og lagerfeeds fra dine leverandører.","AGGREGATE_ORDER_FEEDS_TITLE":"Aggreger ordrefeeds","AGGREGATE_ORDER_FEEDS_BODY":"Få et komplet overblik over dit salg ved at aggregere ordrefeeds fra alle dine kanaler.","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"Administrer kunde- og målgruppelister","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"Hold dine kunde- og målgruppelister rene og velorganiserede for mere effektive marketingkampagner.","FAQ_Q1":"Mine produktdata er noget rod og kommer fra flere leverandører i forskellige formater. Hvordan kan Datablist hjælpe?","FAQ_A1":"Denne udfordring er Datablist skabt til at løse. Du kan importere produktdata fra flere CSV- eller Excel-filer til ét samlet masterkatalog. Vores Duplicates Finder hjælper dig derefter med at flette dublerede produktposter, og du kan endda summere numeriske værdier som lagerantal automatisk.","FAQ_Q2":"Kan Datablist oversætte mine produktbeskrivelser uden at ødelægge HTML- eller JSON-formateringen?","FAQ_A2":"Ja. Vores AI-drevne oversætter, som bruger modeller som ChatGPT, kan håndtere komplekst indhold. Du kan give tilpassede instruktioner, så den kun oversætter teksten og bevarer alle dine HTML-tags og JSON-strukturer, hvilket er perfekt til e-handelskataloger.","FAQ_Q3":"Mit regneark går ned med vores store produktkatalog. Hvor mange produkter kan Datablist håndtere?","FAQ_A3":"Regneark har det svært med store datasæt, men Datablist er bygget til skala. Du kan nemt håndtere produktkataloger med op til 1,5 millioner poster pr. collection — langt ud over grænserne i værktøjer som Airtable eller Google Sheets.","FAQ_Q4":"Hvordan importerer jeg mit katalog fra en platform som Shopify eller WooCommerce?","FAQ_A4":"E-handelsplatforme som Shopify og WooCommerce lader dig eksportere dit produktkatalog som en CSV-fil. Du kan importere den CSV-fil direkte i Datablist for at begynde at rense, berige eller oversætte dine data.","FAQ_Q5":"Kan jeg automatisere hentning af pris- og lageropdateringer fra mine leverandører?","FAQ_A5":"Ja. Hvis dine leverandører leverer data via en API, kan du bruge vores datakilde 'Import from a remote CSV or JSON file' til automatisk at hente og opdatere din produktinformation. Det hjælper med at holde lager og priser synkroniseret uden manuelt arbejde.","FAQ_Q6":"Er Datablist et godt værktøj for e-handelsbureauer, der håndterer flere kundekataloger?","FAQ_A6":"Helt sikkert. Du kan oprette separate collections for hver kundes produktkatalog og organisere dem i mapper for nem styring. Det gør det til et centralt, effektivt hub for alle dine opgaver med datarensning og -styring.","FAQ_Q7":"Hvordan kan jeg rydde op i inkonsistente produktdata, som priser eller HTML i beskrivelser?","FAQ_A7":"Datablist tilbyder flere værktøjer til datarensning, der er perfekte til produktkataloger. Du kan konvertere tekst med HTML-tags til ren tekst, normalisere tal med forskellige skilletegn, fjerne ekstra mellemrum og ændre tekstens case, så dine data bliver konsistente.","FAQ_Q8":"Kan AI hjælpe mig med at skrive unikke produktbeskrivelser?","FAQ_A8":"Ja. Du kan bruge vores 'Ask ChatGPT'-enrichment til at generere overbevisende produktbeskrivelser ud fra dine produktegenskaber. Det sparer tid og hjælper dig med at skabe unikt indhold i stor skala."},"IndustrySaaSAI":{"PAGE_TITLE":"Din GTM Co-pilot til SaaS- og AI-startups","PAGE_DESC":"Stop med at jonglere med rodede regneark og dyre værktøjer. Datablist er din alt-i-én platform til at finde, rense og berige leads, så du kan fokusere på at lukke aftaler.","HERO_TITLE":"Din GTM Co-pilot til SaaS- og AI-startups","INDUSTRY_LABEL":"Brancher","HERO_DESC":"Stop med at jonglere med rodede regneark og dyre værktøjer. Datablist er din alt-i-én platform til at finde, rense og berige leads, så du kan fokusere på at lukke aftaler.","MASTER_TITLE":"Byg din salgsmotor – hurtigere","MASTER_BODY":"Som startup er fart alt. Du har brug for en konstant strøm af kvalificerede leads, men at opbygge en salgspipeline er tidskrævende. Datablist strømliner hele processen – fra at finde prospects til at personalisere outreach – alt sammen i én nem, no-code platform.","PROBLEM_TITLE":"Det er din lead gen, der er i stykker – ikke dit produkt","PROBLEM_CONTENT_1":"Du scraper data, køber lister og eksporterer fra dit CRM, men ender med rod. Regneark går ned, data bliver forældet, og dit team spilder timer på manuel dataindtastning i stedet for at sælge.","PROBLEM_CONTENT_2":"Skræddersyede databaser er en ressourcesluger, og flere abonnementer på forskellige værktøjer bliver hurtigt dyrt. Denne ineffektivitet koster dig aftaler.","SOLUTION_TITLE":"Én platform til at bygge, rense og berige","SOLUTION_CONTENT_1":"Datablist kombinerer kraften fra en database med enkelheden i et regneark. Det er et fleksibelt no-code-værktøj designet til GTM-teams i hurtigtgående startups.","SOLUTION_CONTENT_2":"Konsolider alle dine lead-kilder, ryd op i rodede data, berig kontakter med friske informationer, og automatiser dine workflows uden at skrive en eneste linje kode. Det er den fleksible, omkostningseffektive løsning, du behøver for at skalere.","FEATURES_TITLE":"Alt du behøver for at sætte fart på din vækst","GRID_SOURCE_TITLE":"Find leads med høj købsintention","GRID_SOURCE_BODY":"Gå videre end statiske databaser. Brug vores Job Board Scraper til at finde virksomheder, der aktivt ansætter — et klart signal om, at de har budget og et problem, der skal løses. Få friske leads dagligt.","GRID_SCRAPE_TITLE":"AI-drevet scraping","GRID_SCRAPE_BODY":"Byg unikke lead-lister, som dine konkurrenter ikke kan købe. Vores AI Agent scraper enhver website for at finde nichedata, kundecases eller specifikke teknologier, en virksomhed bruger.","GRID_PERSONALIZE_TITLE":"Personliggør outreach i stor skala","GRID_PERSONALIZE_BODY":"Stop med at sende generiske emails. Brug AI Agent til at samle unikke indsigter for hver prospect. Find samtalepunkter, der viser, at du har gjort dit hjemmearbejde, og få flere svar.","GRID_DEDUPE_TITLE":"Deduplicer og flet","GRID_DEDUPE_BODY":"Ryd op i dine lead- og kundelister med vores kraftige Duplicates Finder. Flet dubletter fra flere kilder uden at miste værdifulde data, og sikr en single source of truth.","GRID_CLEAN_TITLE":"Rens og berig dit CRM","GRID_CLEAN_BODY":"Hold dine CRM-data præcise og opdaterede. Validér emails, standardiser virksomhedsnavne, og berig poster med friske data fra LinkedIn og andre udbydere for at forbedre kampagneresultater.","GRID_AUTOMATE_TITLE":"Automatiser dine workflows","GRID_AUTOMATE_BODY":"Opsæt tilbagevendende opgaver for at få en konstant strøm af nye, berigede leads. Planlæg scrapers og enrichments til at køre dagligt eller ugentligt, så dit salgsteam altid har en fuld pipeline.","WORKFLOW_TITLE":"Et gennemprøvet workflow til leads i høj kvalitet","WORKFLOW_STEP1_TITLE":"1. Find virksomheder med købsintention","WORKFLOW_STEP1_CONTENT_1":"Start med at finde virksomheder med et klart behov. Brug vores Job Postings Scraper til at identificere virksomheder, der aktivt ansætter til roller, som dit produkt eller din service understøtter.","WORKFLOW_STEP1_CONTENT_2":"Det er et af de stærkeste signaler om, at de har budget og et presserende problem, der skal løses.","WORKFLOW_STEP2_TITLE":"2. Find beslutningstagere og kontaktinfo","WORKFLOW_STEP2_CONTENT_1":"Når du har dine target accounts, så brug vores Waterfall People Search til at finde de rigtige kontakter i de virksomheder — som fx Head of Sales eller en Marketing Director.","WORKFLOW_STEP2_CONTENT_2":"Brug derefter vores email- og phone finders til at få verificeret kontaktinformation.","WORKFLOW_STEP3_TITLE":"3. Saml indsigt til personalisering","WORKFLOW_STEP3_CONTENT_1":"Her får du en unfair fordel. Brug AI Agent til at researche hver prospect. Bed den om at finde deres seneste blogindlæg, kundecases eller endda hvilke SaaS-værktøjer de bruger.","WORKFLOW_STEP3_CONTENT_2":"Du får unikke indsigter til at skrive outreach-beskeder, der skiller sig ud og får svar.","WORKFLOW_STEP4_TITLE":"4. Rens og færdiggør din liste","WORKFLOW_STEP4_CONTENT_1":"Før du starter din outreach, skal du køre den endelige liste gennem vores Duplicates Finder. Den fletter eventuelle duplikerede kontakter eller virksomheder og sikrer en ren, organiseret liste.","WORKFLOW_STEP4_CONTENT_2":"Nu er din liste klar til at blive synkroniseret til dit sales CRM eller din email sequencer.","SEE_ALSO":"Se også","FAQ_Q1":"Hvordan adskiller Datablist sig fra en standard B2B-database som ZoomInfo eller Apollo?","FAQ_A1":"Hvor B2B-databaser leverer statisk, forudindsamlet data, giver Datablist dig mulighed for at bygge friske, proprietære lead-lister fra live kilder. Du kan bruge vores Job Scrapers til at finde virksomheder, der aktivt ansætter — et stærkt købssignal. Vores AI Agent kan også udføre custom web scraping for at indsamle nichedata, som ingen database tilbyder, hvilket giver dig en unik konkurrencefordel.","FAQ_Q2":"Min startup har brug for leads i høj kvalitet – hurtigt. Hvordan kan Datablist hjælpe?","FAQ_A2":"Datablist er designet til fart. Du kan starte med at finde virksomheder med akut behov via vores Job Postings Scraper, som samler data fra over 19 jobportaler. Brug derefter vores Waterfall enrichment-værktøjer til hurtigt at finde beslutningstagere og deres verificerede kontaktinformation. Hele workflowet – fra at finde accounts til at have en outreach-klar liste – kan gøres på få minutter.","FAQ_Q3":"Har jeg brug for en udvikler eller tekniske kompetencer for at bruge Datablist?","FAQ_A3":"Nej, Datablist er en no-code platform. Den kombinerer en brugervenlig regnearksgrænseflade med kraftfuld AI og automatiseringsværktøjer. Du kan udføre komplekse opgaver som web scraping, datarensning og enrichment med simple prompts i naturligt sprog og en point-and-click-grænseflade. Den er bygget til GTM-teams – ikke udviklere.","FAQ_Q4":"Hvordan hjælper Datablist mit salgsteam med email-personalisering?","FAQ_A4":"Generisk outreach virker ikke. Datablists AI Agent fungerer som en research-assistent for dit salgsteam. Du kan bede den besøge hver prospects website og finde unikke samtalepunkter som nylige kundecases, specifikke teknologier de bruger, eller virksomhedsnyheder. Det gør det muligt at skrive stærkt personaliserede beskeder i stor skala og markant øge svarraterne.","FAQ_Q5":"Vi har rodede lead-lister fra flere kilder. Hvordan håndterer Datablist rensning og deduplikering?","FAQ_A5":"Datablist er stærk til datahygiejne. Vores Duplicates Finder bruger avancerede algoritmer, inkl. fuzzy matching, til at identificere lignende poster på tværs af flere filer – selv med små variationer i navne eller detaljer. Du kan derefter automatisk flette dubletter, kombinere modstridende information (fx flere telefonnumre) uden at miste data og standardisere felter for at skabe en single source of truth, der er ren og ensartet.","FAQ_Q6":"Kan jeg automatisere lead generation for at få en kontinuerlig strøm af prospects?","FAQ_A6":"Ja. Datablist er bygget til automatisering. Du kan planlægge dine datakilder, fx Job Postings Scraper, til at køre dagligt eller ugentligt. Det sikrer, at dit team altid har en frisk liste over virksomheder med høj købsintention at målrette, hvilket skaber en konsistent og forudsigelig salgspipeline med minimalt manuelt arbejde.","FAQ_Q7":"Er prismodellen omkostningseffektiv for en startup?","FAQ_A7":"Helt sikkert. Datablist bruger et kreditbaseret system til enrichments, så du kun betaler for det, du bruger — ideelt for startups, der styrer et budget. Mange funktioner som Free Email Validator er ubegrænsede, og vores betalte planer er designet til at være langt mere budgetvenlige end at abonnere på flere, separate værktøjer til scraping, rensning og enrichment.","FAQ_Q8":"Hvordan integrerer Datablist med vores eksisterende CRM og salgsværktøjer?","FAQ_A8":"Datablist er designet til at passe ind i jeres eksisterende workflow. Vi tilbyder en direkte integration med Pipedrive for sømløs datasynkronisering. For andre CRM’er som HubSpot eller Salesforce kan I nemt eksportere jeres rensede og berigede lister som CSV- eller Excel-filer til hurtig import. I kan også forbinde Datablist med tusindvis af apps via værktøjer som Zapier."},"Alternatives":{"HERO_DESC":"Datablist er et Lead Management-værktøj og et godt alternativ til {toolName}. Datablist er det perfekte værktøj til at bygge skræddersyede workflows til leadgenerering. Sammenlign Datablist og {toolName}, og se hvilket værktøj der passer bedst til dig.","WHAT_IS_TITLE":"Hvad er {toolName}?","WHAT_IS_DESC":"{toolName} er et SaaS-værktøj, der hjælper salgsteams med at køre outreach-kampagner. Det integrerer flere databerigelsestjenester og automatiserer udarbejdelsen af personaliserede outreach-beskeder med AI. Derefter integrerer {toolName} med CRM'er og outreach-værktøjer for at sende kampagnerne.","COMPARISON_TITLE":"Hvor er Datablist bedre?","COMPARISON_CONTENT_1":"Datablist og {toolName} er to værktøjer til at håndtere lead-lister.","COMPARISON_CONTENT_2":"Datablist fokuserer på datavask, deduplikering af leads og skræddersyede workflows med vores REST API. Datablist er hurtig og kan håndtere hundredtusindvis af leads uden problemer.","COMPARISON_CONTENT_3":"Clay fokuserer på sourcing af leads og waterfall enrichments.","COMPARISON_CONTENT_4":"Hvis du vil opbygge en centraliseret leads-database med avanceret deduplikering og kraftig datavask for at sikre datakvalitet, er Datablist noget for dig.","BENEFITS_TITLE":"Hvorfor skifter teams fra {toolName} til Datablist?","COST_EFFECTIVE_TITLE":"Datablist er et billigere alternativ til {toolName}","COST_EFFECTIVE_DESC":"Clay har en begrænset gratis plan. Clays starter-plan starter ved $149/md. med kun 2.000 credits. Datablist har et billigere månedligt abonnement og billigere kreditpakker. Jo mere du bruger værktøjet til scraping, datavask og databerigelse af dine leads, desto mere sparer du ved at bruge Datablist.","CLEANING_TITLE":"Avancerede værktøjer til datavask og deduplikering","CLEANING_DESC":"Datablist tilbyder avancerede værktøjer til datavask. Fra konvertering af datatyper til datanormalisering overgår Datablist regnearksværktøjer, når datavask skal skaleres. Deduplikering af leads er en indbygget Datablist-funktion. Fuzzy matching og avanceret sammenfletning af dubletter forhindrer, at du beriger det samme lead to gange.","API_TITLE":"Kan udvides via API","API_DESC":"Datablists datalager er fuldt tilgængeligt via API. Opret collections, properties og items med vores RESTful API. Bruger du Make.com eller Zapier? Forbind dem til Datablist via API'et for at bygge kraftfulde outreach workflows.","SCALE_TITLE":"Håndter større lister","SCALE_DESC":"Datablist håndterer op til 100.000 poster med cloud sync og op til 2 millioner poster til datamanipulation, transformation og datavask. Skaler din lead management uden performance-problemer.","SUPERIOR_TITLE":"Datablist: Et bedre alternativ til leadgenerering","SUPERIOR_INTRO":"Hos Datablist forstår vi de udfordringer, brugere møder med andre værktøjer til leadgenerering som Clay. Derfor har vi designet vores platform til at være brugervenlig, hurtig og let at integrere i dine eksisterende workflows. Vores intuitive interface sikrer en gnidningsfri opsætning med minimal læringskurve, så du hurtigt kan begynde at generere leads uden besvær.","ACCURATE_DATA_TITLE":"Præcise og pålidelige data","ACCURATE_DATA_DESC":"Vi prioriterer datanøjagtighed, så du får opdaterede og korrekte kontaktoplysninger. Det betyder mere effektive outreach-kampagner og bedre konverteringsrater. Sig farvel til inkonsistenser og forældede data, som du oplever på andre platforme.","AFFORDABLE_PRICING_TITLE":"Overkommelige priser","AFFORDABLE_PRICING_DESC":"Datablist tilbyder konkurrencedygtige og gennemsigtige priser, der passer til virksomheder i alle størrelser. Vores omkostningseffektive model sikrer, at du får mest værdi uden uventede udgifter. I modsætning til andre værktøjer skal du ikke bekymre dig om, at omkostningerne hurtigt løber løbsk.","RESPONSIVE_SUPPORT_TITLE":"Responsiv kundesupport","RESPONSIVE_SUPPORT_DESC":"Vores dedikerede supportteam er altid klar til at hjælpe dig, så eventuelle problemer bliver løst hurtigt og effektivt. Vi er stolte af vores hurtige svartider og ekspert-support, så du kan fokusere på det vigtigste - at vækste din forretning.","SUPERIOR_CONCLUSION":"Vælg Datablist for en gnidningsfri, pålidelig og overkommelig oplevelse med leadgenerering.","SEE_ALSO":"Se også","ENRICHMENTS":"Databerigelser","ENRICHMENTS_DESC":"Opdag vores databerigelsestjenester, som forbedrer dine leaddata med virksomhedsoplysninger, kontaktoplysninger og mere.","DATA_SOURCES":"Datakilder","DATA_SOURCES_DESC":"Udforsk alle tilgængelige datakilder for at importere og scrape data fra forskellige platforme og websites.","API_DOCS":"API-dokumentation","API_DOCS_DESC":"Lær at integrere Datablist med dine eksisterende workflows ved hjælp af vores omfattende REST API.","LEAD_BUILDING":"Opbygning af lead-lister","LEAD_BUILDING_DESC":"Bliv skarp til at opbygge lead-lister i høj kvalitet med vores omfattende guide og værktøjer."},"AIPrompts":{"metadata":{"title":"AI Prompts","description":"Brug vores AI prompts til at forbedre leadgenerering, data-berigelse og datavask. Disse prompts hjælper dig med at finde leads af høj kvalitet og holde dine data nøjagtige. Brug AI til at identificere potentielle kunder og opdatere lead-information. Perfekt til virksomheder, der vil skalere med AI-drevne værktøjer, som optimerer lead management."},"breadcrumb":{"home":"Hjem","aiPrompts":"AI Prompts"},"header":{"category":"AI-værktøjer til forretningsvækst","title":"Top AI Prompts til leadgenerering, data-berigelse og datavask","description":"Automatiser søgning efter leads, berigelse og datavask. Disse AI prompts skalerer dine GTM workflows."},"enrichment":{"title":"AI Agent Prompts (Berigelse)","description":"Brug disse prompts til at berige dine eksisterende items. Kør disse AI prompts på dine nuværende records for at finde manglende detaljer, lave research eller analysere information for hver række."},"dataSource":{"title":"Source AI Agent Prompts (Datakilde)","description":"Disse prompts opretter nye items. Brug dem til at scrape websites for struktureret information, finde kontakter der matcher specifikke kriterier, eller bygge målrettede lister fra bunden med AI. Start med en URL, en instruktion eller input fra en anden collection for at generere friske data."},"cta":"Se prompt","detail":{"metadataTitle":"ChatGPT-prompt til: {title}","metadataNotFound":"AI Prompt ikke fundet","pageTitle":"ChatGPT-prompt til: {title}","pageTitleDataSource":"AI Agent-prompt: {title}","breadcrumbHome":"Hjem","breadcrumbEnrichments":"Enrichments Store","breadcrumbAIPrompts":"AI Prompts","copiedText":"Prompt kopieret","copyText":"Kopiér prompt til udklipsholderen","relatedPrompts":"Relaterede prompts"},"enrichmentContent":{"howToTitle":"Hvordan bruger jeg denne prompt på en CSV-fil?","howToIntro":"**Datablist lader dig tage en hel CSV-fil og køre prompts direkte på hver linje.**","howToTemplates":"Den gode nyhed er, at den prompt du skal bruge allerede findes i Datablist under \"Templates\"-sektionen. Du behøver ikke at starte fra bunden! Vælg blot den skabelon, der passer til din opgave, og så er den klar til at køre på hver linje i din CSV. Det gør det endnu nemmere at transformere dine data med få klik.","openDatablist":"Åbn Datablist","noSignup":"Ingen tilmelding nødvendig","step1":"Importer din CSV-fil i Datablist. Vælg derefter \"Enrich\" i headeren.","step2":"Vælg skabelonen: **{title}**","step2Image":"Vælg skabelon","step3":"Erstat variablerne i prompten med din collection's properties ved at bruge `/` eller '{{'.","step3Image":"Definér variabler med din collection's properties","step4":"Hvis du ikke har alle variablerne, så redigér bare prompten.","step5":"**Det var det!** Du kan nu køre prompten på hver linje i din CSV-fil og få resultaterne i en ny kolonne. 🚀","costTitle":"Hvad koster det?","costIntro":"Du har to muligheder. Begge er super simple.","option1Title":"Valgmulighed 1 – Brug din egen OpenAI API-nøgle.","option1Desc1":"Helt gratis hos os. Tilslut bare din nøgle, og Datablist sender forespørgsler via din konto. Du betaler OpenAI direkte baseret på deres forbrugspriser. Ingen mellemmand. Ingen ekstra gebyrer.","option1Desc2":"Med din API-nøgle vil du for 1.000 items måske betale OpenAI omkring **$2**.","option1Desc3":"Det er perfekt, hvis du allerede har en OpenAI-nøgle eller vil have fuld kontrol over omkostningerne.\n**Bonus:** ingen rate limits fra os!","option2Title":"Valgmulighed 2 – Brug Datablist Credits.","option2Desc1":"Ingen API-nøgle? Intet problem. Du kan bruge Datablists indbyggede ChatGPT-konto. Vi håndterer API-delen for dig. Du betaler bare med Datablist credits.","option2List1":"Opsætning af API-nøgle – springes over","option2List2":"ChatGPT rate limits – undgås","option2List3":"Kontobegrænsninger – ikke dit problem","option2Desc2":"Det virker bare.","tldr":"TL;DR","tldrKey":"**Brug din nøgle** = billigere","tldrCredits":"**Brug Datablist credits** = nemmere","tldrEnd":"Uanset hvad har du kontrollen.","aiAgentTitle":"Bemærkning om AI Agent-prompts","aiAgentDesc1":"Denne prompt er lavet til Datablist [AI Agent](/enrichments/ai-agent) berigelse. **En AI Agent er et smart værktøj, der bruger kunstig intelligens (AI) til at udføre opgaver for dig. Den kan browse websites, bruge Google til at finde information og interagere med forskellige onlinetjenester.** Det betyder, at den kan hjælpe dig med realtidsdata og opdaterede svar.","aiAgentDesc2":"ChatGPT API'en kan derimod kun analysere input-teksten og svare baseret på sin eksisterende viden. Den har ikke mulighed for at tilgå internettet eller indsamle ny information på egen hånd.","aiAgentDesc3":"En AI Agent giver en mere dynamisk oplevelse ved at trække realtidsdata ind, mens ChatGPT API'et bygger på eksisterende viden for at besvare forespørgsler.","aiAgentDesc4":"**Når du interagerer direkte på [https://chatgpt.com/](https://chatgpt.com/), interagerer du med en Agent. Nogle gange går den online for at give ekstra information til din prompt (men ikke ofte). Andre værktøjer, der er forbundet til ChatGPT, bruger dog API'et. Så husk, at denne prompt ikke kan bruges i et andet værktøj, der kalder ChatGPT API'et.**","aiAgentDesc5":"Datablist [AI Agent](/enrichments/ai-agent) kører en agent på hver linje i din CSV."},"aiScraperContent":{"howToTitle":"Sådan bruger du denne AI-prompt","step1Title":"**Opret en ny Collection**: Start med at oprette en ny, tom collection i Datablist, hvor dataene gemmes. Klik på '+ Create new collection' i sidepanelet.","step1ImageAlt":"AI web scraping > Traditionel web scraping","step2Title":"**Vælg AI Agent-kilden**: Klik \"See all sources\" eller gå til \"Import\" -> \"Import From Data Sources\". Vælg \"AI Agent - Site Scraper\".","step2ImageAlt":"Vælg AI Agent - Site Scraper","step3Title":"**Konfigurer kilden:**","step3Item1":"**Select Template**: Find og vælg prompten fra \"Template\"-dropdown-menuen. Prompten ovenfor bliver automatisk indlæst.","step3Item2":"**URL to Scrape**: Indtast din URL, der skal scrapes","step3Item3":"**Enable Pagination (Optional)**: Hvis resultaterne er på flere sider, markér ***Enable Pagination*** og angiv en fornuftig grænse for ***Max Pages*** (fx 10).","step3Item4":"**Customize (Optional)**: Du kan justere AI-modellen (fx er GPT-4o mini ofte omkostningseffektiv), redigere prompten til specifikke behov eller ændre de forventede ***Outputs***.","step3ImageAlt":"AI web scraping > Traditionel web scraping","step4Title":"**Gennemse Outputs**: Klik ***Continue***. Datablist viser de outputfelter, der er defineret i prompten (Project Name, Client Company Name). Klik på ***+***-ikonet ved hver for at oprette de tilsvarende properties (kolonner) i din collection.","step4ImageAlt":"Outputs","step5Title":"**Kør import**: Klik ***Run import now***. AI Agenten begynder at scrape websitet baseret på prompten og udfylder din collection.","pricingTitle":"Priser","pricingDesc":"Denne datakilde bruger Datablist credits efter forbrug. Omkostningerne afhænger af websitets kompleksitet og antallet af besøgte sider.","pricingTest":"Test ved først at køre AI Agenten på en enkelt side for at få et estimat af omkostningen.","faqTitle":"FAQ","faq1Question":"Hvordan starter jeg endnu en kørsel med samme konfiguration?","faq1Answer":"Når du har kørt din AI Agent, skal du klikke på den lyserøde knap øverst til højre i din datatabel for at åbne den igen med dine senest brugte indstillinger.","faq1ImageAlt":"Brug dine eksisterende agent-indstillinger","faq2Question":"Hvad sker der, hvis AI Agenten forsøger at tilgå et beskyttet website eller bliver blokeret?","faq2Answer":"AI Agenten bruger automatisk proxyservere, når det er nødvendigt, for at tilgå websites med scraping-beskyttelse eller geografiske begrænsninger. Det øger chancen for vellykket dataudtræk, men meget tungt beskyttede sider kan stadig give udfordringer.","faq3Question":"Hvor meget data kan jeg behandle med AI Agenten?","faq3Answer":"Når du kører AI Agenten (enten som en berigelse eller en datakilde), kan Datablist collections håndtere behandling af op til 100.000 items (rækker). For større datasæt kan du have brug for at splitte dataene i flere collections.","faq4Question":"Hvordan adskiller AI Agenten sig fra ChatGPT/Claude/Gemini-enrichments?","faq4Answer":"Standard AI-enrichments (ChatGPT, Claude, Gemini) behandler data, der allerede er i din collection, ved hjælp af AI'ens eksisterende viden. AI Agenten kan aktivt interagere med det live web—lave Google-søgninger, browse websites og udtrække ny information baseret på din prompt.","faq5Question":"Hvor præcise er resultaterne?","faq5Answer":"Nøjagtighed afhænger i høj grad af klarheden og specificiteten i din prompt samt opgavens kompleksitet og den tilgængelige information online. Tydelige instruktioner, eksempler og regler for fejl-håndtering forbedrer resultaterne. Datablist giver ofte en confidence score for AI Agent-outputs for at hjælpe med at vurdere pålideligheden."},"aiOnColContent":{"step1Title":"**Opret en ny Collection**: Start med at oprette en ny, tom collection i Datablist, hvor dataene gemmes. Klik på '+ Create new collection' i sidepanelet.","step1ImageAlt":"Ny Collection","step2Title":"**Konfigurer kilden:**","step2Item1":"**Select Template**: Find og vælg prompten fra \"Template\"-dropdown-menuen. Prompten ovenfor bliver automatisk indlæst.","step2Item2":"**For every item in**: Vælg en collection med items. AI Agenten kører for hvert item.","step2Item3":"**Prompt**: Redigér prompten med variabler fra din collection. Brug \"/\" for at vælge en property.","step2Item4":"**Customize (Optional)**: Du kan justere AI-modellen (fx er GPT-4o mini ofte omkostningseffektiv), redigere prompten til specifikke behov eller ændre de forventede ***Outputs***.","step2ImageAlt":"Eksempel på prompt"}},"About":{"metadata":{"title":"Om os","description":"Vores mission er at hjælpe dig med at transformere din forretning til en digital virksomhed."},"jsonLd":{"description":"Vores mission er at hjælpe dig med at transformere din forretning til en digital virksomhed."},"vision":{"heading":"Skab vækst i din forretning med data","paragraph1":"Med samarbejde landsatte vi et menneske på månen, og vores forventede levealder er fordoblet siden 1900.","paragraph2":"Teknologi er en katalysator og en multiplikator for, hvad samarbejde kan opnå. Før den industrielle revolution i 1750 fordobledes den gennemsnitlige individuelle indkomst hvert 6.000. år; siden da er den blevet fordoblet hvert 50. år.","paragraph3":"I en organisation gør Teknologi mennesker i stand til at producere mere og automatiserer gentagne opgaver, så organisationens produktivitet øges.","paragraph4":"Vi mener, at denne produktivitetsgevinst er nøglen til at forbedre verdens levestandard. Prisen på varer falder, og produktivitetsgevinster lader folk bruge mere tid på aktiviteter uden for arbejdet.","paragraph5":"Når vi producerer mere med mindre arbejde, har vi mere tid til dem, vi holder af!"},"approach":{"heading":"Vores tilgang","paragraph1":"Før Datablist brugte jeg otte år som Co‑Founder og CTO i en SaaS‑virksomhed med 80% ingeniører.","paragraph2":"Vi optimerede og automatiserede vores produktudvikling. Vi byggede test- og deployment‑pipelines, så enhver kodeændring førte til en stabil ny version til vores kunder.","paragraph3":"Og alligevel var vores virksomheds drift, som hos mange virksomheder og måske også jeres, baseret på regneark. Fra onboarding af medarbejdere til mailinglister, eller til <ProspectBuildingLink>at opbygge kundeemnelister</ProspectBuildingLink>, er der ingen alternativer til brugervenlige regnearksværktøjer.","paragraph4":"Når dine interne processer ligger i regneark, er du halvvejs i din digitalisering. Men den anden halvdel af digitaliseringen er svær. At implementere automatisering med regneark eller forbinde regneark med hinanden giver flere tårer end glæde. Vi har alle haft dårlige erfaringer med flere versioner samt duplikerede eller ugyldige data.","paragraph5":"Det er derfor, vi bygger Datablist. Datablist bringer datastrukturer ind og er samtidig fleksibel, så du kan opbygge dine unikke processer.","paragraph6":"Vores mission er at hjælpe dig med at transformere din forretning til en digital virksomhed. Forestil dig et digitalt operativsystem med interne værktøjer drevet af data. Skalerbart, fleksibelt og udvideligt, så dit digitale operativsystem vokser sammen med din virksomhed."},"learnMore":{"heading":"Vores tanker"},"team":{"heading":"Team","members":{"florian":{"name":"Florian Poullin","title":"Founder","description":"Tidligere: Co‑Founder og CTO hos IZBERG‑Marketplace (opkøbt i januar 2019 af Open Group, en fransk børsnoteret virksomhed)"},"habib":{"name":"Habib Benabdeslam","title":"GTM & Growth Expert","description":"Habib kombinerer sin passion for mennesker, teknologi og konkurrence for at drive growth hos Datablist."}},"tooltips":{"followLinkedIn":"Følg {name} på LinkedIn","followTwitter":"Følg {name} på Twitter","bookCall":"Book et møde med {name}"},"altText":"{name} - Datablist"}},"Contact":{"metadata":{"title":"Kontakt ","description":"Kontakt Datablist for support, salgsforespørgsler eller for at booke en demo."},"header":{"category":"Kontakt","title":"Send os en besked","description":"Anmod om support, chat med vores team, eller få prisinformation."},"support":{"title":"Teknisk support","description":"For teknisk support kan du kontakte os via email. Del gerne skærmbilleder og så meget kontekst som muligt.","showEmailButton":"Vis support-email","generatingButton":"Genererer email-knap...","emailButton":"Klik her for at sende en email"},"sales":{"title":"Salg & Marketing","description":"For at sende en besked til vores salgsteam, udfyld venligst denne formular.","button":"Kontakt salg"},"demo":{"title":"Få en demo","description":"Lær mere om vores produkter med en skræddersyet live-demo fra vores salgsteam.","button":"Book demo-møde"},"salesPage":{"metadata":{"title":"Kontakt ","description":"Kontakt Datablist for support, salgsforespørgsler eller for at booke en demo."},"breadcrumb":{"contact":"Kontakt os","current":"Salg & Marketing"},"header":{"category":"Kontakt","title":"Kontakt vores Salg & Marketing-team","description":"Udfyld formularen nedenfor for erhvervshenvendelser."}}},"Pricing":{"metadata":{"title":"Priser","description":"Vælg den perfekte plan til dine databehov. Fleksible prisplaner for enkeltpersoner og teams."},"header":{"title":"Priser","subtitle":"Start gratis (<link>du kan starte uden at oprette en konto</link>). Opgrader for at frigøre dine datas potentiale."},"switcher":{"monthly":"Månedligt","yearly":"Årligt","discount":"-20%"},"plans":{"creditsYear":"{credits} credits pr. år.","creditsMonth":"{credits} credits pr. måned.","includedUsers":"{users} {users, plural, =1 {user} other {users}} inkluderet","extraUsersMonth":"Derefter {price}/bruger/måned","extraUsersYear":"Derefter {price}/bruger/år","free":{"name":"Gratis plan","price":"0","users":"En bruger","extraUsers":"Ingen ekstra brugere tilladt","credits":"500 credits pr. år","bulletsText":"Gratis plan inkluderer:","bullets":["Ubegrænsede samlinger","Importer op til 1 million elementer pr. samling, lagret i din browsers lager","Duplikatfinder","Adgang til gratis databerigelser","Importer CSV- og Excel-filer","Eksporter til CSV- og Excel-filer"],"restrictions":["Ingen Cloud-synkronisering","Ingen automatisering af berigelser","Ingen premium-berigelser","Ingen brugerdefineret API-berigelse","Ingen eksportintegrationer"]},"starter":{"name":"Starter","creditsExtra":"Brug top-ups for flere credits.","billedYearly":"faktureres årligt","bulletsText":"Alt i den gratis plan, og:","bullets":["Importer op til 2 millioner elementer pr. samling, lagret i din browsers lager","Synkronisér samlinger med under 100.000 elementer i skyen","Avanceret filtrering med regulære udtryk og filtergrupper.","Avancerede deduplikeringsalgoritmer og indstillinger for automatisk sammenfletning","Deduplikering på tværs af flere samlinger","Avancerede dataudtrækningsalgoritmer","Kodebibliotek til JavaScript Run","AI Agent-berigelse","Adgang til alle premium-berigelser","Prioriteret support"],"restrictions":["Ingen automatisering af berigelser","Ingen eksportintegrationer","Ingen brugerdefineret API-berigelse","Ingen adgang til REST API"]},"growth":{"name":"Growth","creditsExtra":"Brug top-ups for flere credits.","billedYearly":"faktureres årligt","mostPopular":"Mest populær","bulletsText":"Alt i Starter-planen, og:","bullets":["Automatisering af berigelser","Automatisering af datakilder","Brugerdefineret API-berigelse","Datablist REST API","Teknisk onboarding"]},"common":{"perMonth":"pr. måned","signUp":"Tilmeld dig","notIncluded":"Ikke inkluderet:"}},"faq":{"title":"Ofte stillede spørgsmål","subtitle":"Nedenfor finder du svar på de spørgsmål, vi oftest får om vores abonnementer","questions":{"canIUseFree":{"title":"Kan jeg bruge Datablist gratis?","message":"Den gratis plan er gratis for altid. Den er målrettet enkeltpersoner med lejlighedsvise behov. Vores betalte planer giver flere datahandlinger, cloud-synkronisering og teamstyring."},"whatIsCollection":{"title":"Hvad er en Datablist-samling?","message":"I Datablist struktureres dine data med samlinger, der indeholder elementer. Alle elementer i en samling deler samme datastruktur. For eksempel kan en samling være en liste over salgsleads, en mailingliste med emails eller kandidater til rekruttering. <link>Se dokumentation om samlinger</link>."},"whereIsDataStored":{"title":"Hvor er mine data gemt?","message":"Datablist bruger en lokal database fra webbrowseren til at gemme strukturerede data. En lokal database er perfekt til hurtig adgang og en reaktiv brugeroplevelse. Men de lokale data er begrænset til din browser og kan gå tabt. For betalte planer synkroniseres samlinger med op til 100.000 elementer i skyen."},"canIExport":{"title":"Kan jeg eksportere mine data gemt i Datablist?","message":"Selvfølgelig! Data er dit aktiv, og eksport er gratis og ubegrænset. Du kan eksportere data direkte fra dine samlinger i CSV- og/eller Excel-format. For samlinger, der ikke er synkroniseret i skyen, anbefaler vi, at du foretager regelmæssige eksporter for at sikkerhedskopiere dine data, hvis din browser sletter dem. Bemærk, at Excel har nogle begrænsninger på størrelsen af en celle og på antallet af rækker. En stor samling kan muligvis ikke eksporteres i Excel-format."},"whatAreCredits":{"title":"Hvad bruges credits til?","message":"For nogle berigelser (OpenAI, Google Translate, Deepl, Email Finder, osv.) bruger Datablist tredjeparts-API'er. De fleste tredjeparts-API'er er betalte tjenester. For at håndtere dette har Datablist et credit-system. Alle andre funktioner (deduplikering, redigering, filtrering osv.) er ubegrænsede. <link>Mere om Datablist Credits</link>."},"whenCreditsYearly":{"title":"Hvornår får jeg mine credits på den årlige plan?","message":"På årlige planer får du tildelt summen af månedlige credits ved abonnementstidspunktet. På Starter-planen modtager du 60.000 credits på én gang, og på Growth-planen får du 240.000 credits."},"whatIsEnrichment":{"title":"Hvad er en berigelse?","message":"<enrichmentsLink>Berigelser</enrichmentsLink> er onlineprogrammer, der udfører operationer på alle eller en del af elementerne i dine samlinger. Datablist <storeLink>Enrichments Store</storeLink> inkluderer berigelser til leadgenerering, tekstoversættelser, web scraping, ChatGPT osv."},"premiumEnrichmentsList":{"title":"Har I en liste over premium-berigelser?","message":"Vi tilføjer berigelser hver måned. For at få en opdateret liste over vores berigelser, <link>åbn Datablist</link> og klik på \"Enrich\"-knappen i samlingens header. Alle berigelser er listet der. Et \"Premium\"-label er synligt ved siden af premium-berigelser."},"canBrowserDelete":{"title":"Kan min browser slette mine lokale data?","message":"Det kan ske, hvis du rydder din browsers cache, eller når du rammer grænsen for din harddisk. Den lokale database, som Datablist bruger, slettes sammen med cookies, cachede data og alle webstedsgenererede data, når du rydder webstedsdata i din browser. For at undgå datatab skal du bruge cloud-synkronisering (tilgængelig for samlinger med under 100.000 elementer i de betalte planer). En anden måde at beskytte dine data på er periodisk at eksportere dine data til en CSV-fil."},"cloudSyncLimit":{"title":"Hvad sker der, når jeg rammer grænsen for synkronisering til skyen?","message":"Betalte planer har cloud-synkronisering for samlinger med under 100.000 elementer. For større samlinger er cloud-synkronisering endnu ikke mulig, og dataene i din samling gemmes kun i din browser."},"browserSupport":{"title":"Virker Datablist med alle webbrowsere?","message":"Datablist kræver en moderne webbrowser. Seneste versioner af Chrome, Safari, Firefox og Edge understøttes. Internet Explorer understøttes ikke. Datablist retter sig i øjeblikket mod desktop-webbrowsere. En mobil version, der er kompatibel med mobile webbrowsere, er på vores roadmap."},"freeVsPremium":{"title":"Hvad er forskellen mellem gratis og premium-berigelser?","message":"Gratis berigelser er tilgængelige for registrerede gratis brugere, mens premium-berigelser er forbeholdt kunder. Premium-berigelser er som regel afhængige af tredjeparts-tjenester og har månedlige kaldgrænser."},"hitEnrichmentLimit":{"title":"Hvad sker der, når jeg rammer grænsen for premium-berigelser?","message":"Når dine credits er opbrugt, kan du ikke køre premium-berigelser. 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For alle.","LEAD_GENERATION_TITLE":"Leadgenerering","LEAD_GENERATION_DESC":"Find, berig og personaliser beskeder for at skabe nye muligheder i stor skala.","INVENTORY_TITLE":"Lagerstyring","INVENTORY_DESC":"Bevar et rent, opdateret overblik ved at centralisere salg, lager, automatiske genbestillinger og meget mere.","VC_TITLE":"Venturekapital & PE","VC_DESC":"Centraliser data og få flere indsigter til bedre beslutninger.","RECRUITING_TITLE":"Rekrutteringsbureauer","RECRUITING_DESC":"Følg ledige stillinger og tag kontakt, når behovet er størst.","RETAIL_TITLE":"Retail & E-commerce","RETAIL_DESC":"Administrer leverandører, og synkroniser lager, ordrer og meget mere.","SAAS_TITLE":"SaaS & AI-startups","SAAS_DESC":"Voks hurtigt og samtidig rentabelt – med automatisering.","SALES_TITLE":"Salg","OPERATIONS_TITLE":"Drift","MARKETING_TITLE":"Marketing","PROCUREMENT_TITLE":"Indkøb","GUIDES_TITLE":"Guides","GUIDES_DESC":"Læs vores bedste guides til scraping, datavask og lead management.","DATA_SOURCES_TITLE":"Data- og leadkilder","DATA_SOURCES_DESC":"Boost din pipeline med vores stærke indbyggede leadkilder!","AI_PROMPTS_TITLE":"AI Prompts","AI_PROMPTS_DESC":"Det mest komplette AI prompt-bibliotek til alle use cases","ENRICHMENTS_TITLE":"Berigelser","ENRICHMENTS_DESC":"Skab stærke workflows med vores brugervenlige berigelser","HELP_CENTER_TITLE":"Hjælpcenter","HELP_CENTER_DESC":"Lær at bruge Datablists funktioner","CONTACT_TITLE":"Kontakt os","CONTACT_DESC":"Send os en besked.","BLOG_TITLE":"Blog & Release Notes","BLOG_DESC":"Nyheder og indsigter om Datablist og markedet","AFFILIATION_TITLE":"Affiliate-program","AFFILIATION_DESC":"Tjen 25% løbende provision.","TOP_GUIDES_TITLE":"Vores mest nyttige guides","PROMPT_GUIDE_TITLE":"Sådan skriver du en prompt, der altid virker (fuld guide)","DEDUPE_GUIDE_TITLE":"Sådan fjerner du dubletter på tværs af flere Excel-filer","AI_AGENTS_GUIDE_TITLE":"AI Agents vs. AI Assistants: Hvad er forskellen?","MORE_RESOURCES_TITLE":"Flere nyttige ressourcer","COMPANY_TITLE":"Virksomhed","BY_USE_CASE_TITLE":"Efter use case","BY_INDUSTRIES_TITLE":"Efter brancher","BY_ROLES_TITLE":"Efter roller","INTEGRATIONS_TITLE":"Integrationer","FEATURES_TITLE":"Funktioner","COMBINE_CSV_TITLE":"Kombiner CSV'er","COMBINE_CSV_DESC":"Kombiner flere CSV'er til én liste","PRICING_TITLE":"Priser","PRICING_DESC":"Gennemsigtige priser for ethvert behov."},"Authors":{"HABIB_DESCRIPTION":"

Jeg er en nysgerrig iværksætter.

Jeg kan lide mennesker, tech og konkurrence; nogle gange lidt for meget for mit eget bedste.

Da jeg ikke nåede til New York, finder du mig hver fredag eftermiddag i gang med at tale med fremmede et sted i Frankfurt.

Arbejder i øjeblikket med alt, der handler om growth @Datablist

","FLORIAN_DESCRIPTION":"

Stifter & CEO hos Datablist.

Ingeniør inderst inde. Jeg nyder at bygge, løse problemer og lære hver dag.

Bosat i Frankrig.

"},"Automations":{"TITLE":"Få mere gjort på kortere tid med automatiseringer","FREQUENCIES_TITLE":"Sæt tilpassede frekvenser for tilbagevendende projekter","FREQUENCIES_DESC":"Planlæg importer, berigelser og mere med specifikke tidsbaserede triggers for at undgå gentagne opgaver.","CONNECT_TITLE":"Opret forbindelse til Zapier, Make og n8n","CONNECT_DESC":"Integrer med Zapier, Make og n8n for at styrke dine workflows med tusindvis af andre apps.","STATUS_TITLE":"Statuskolonne","STATUS_DESC":"Gå tilbage i historikken, opdag fejl hurtigt, iterér på prompts og rekonfigurer berigelser efter behov.","CONDITIONAL_TITLE":"Betingede automatiseringer","CONDITIONAL_DESC":"Opret smarte workflow-automatiseringer med if/and/or-filtre for at udløse specifikke handlinger baseret på dataændringer, statusopdateringer eller brugerdefinerede regler."},"common":{"OPEN_DATABLIST_NOW":"Åbn Datablist nu!","OPEN_DATABLIST":"Åbn Datablist","TRY_DATABLIST":"Prøv Datablist","BOOK_DEMO":"Book en demo","NOSIGNUP":"Ingen tilmelding nødvendig","RELATED_GUIDES":"Relaterede guider","FAQ":"Ofte stillede spørgsmål","DEV_DOC":"Udviklerdokumentation","HOVER_VIDEO_PLAY":"Hold markøren over videoen for at afspille","CLICK_VIDEO_PLAY":"Klik på videoen for at afspille"},"ContentCommon":{"RELATED_HOW_TOS":"Relaterede guides"},"DedupeClean":{"TITLE":"Deduplikering, Datavask og Administration","DEDUPLICATION_TEXT":"Sammenlign data i én eller på tværs af flere filer for at finde dubletter baseret på én kolonne eller flere kolonner ved hjælp af AI og algoritmer, som fanger selv små variationer.","DEDUPLICATION_SUBTITLE":"Med vores dubletfinder kan du:","CONSOLIDATE_INFO":"Konsolider information","MERGE_DUPLICATES":"Flet dubletter","DEDUPE_DATASETS":"Fjern dubletter på tværs af flere datasæt","EDIT_GROUPS":"Rediger dubletgrupper, tilføj tags m.m.","DATA_CLEANING_TEXT":"Udtræk, konverter og rens data med få klik. Ingen begrænsninger – og helt sikkert ingen flere formler.","DATA_CLEANING_SUBTITLE":"Her er et par eksempler på, hvad du kan gøre:","NORMALIZE_DATA":"Normaliser datastrukturer","CONVERT_FORMATS":"Konverter data til 9 forskellige formater","FIND_REPLACE":"Find og erstat værdier","EXTRACT_DATA":"Udtræk data uden formler","AI_TEXT":"Generer nye data, rediger eksisterende information, og byg systemer fra bunden med enkle prompts.","AI_SUBTITLE":"Din AI-assistent kan f.eks.:","GENERATE_IDS":"Generer unikke ID'er for hver række","BUILD_SCORING":"Byg scoringssystemer","EDIT_SCALE":"Rediger data i stor skala","STANDARDIZE_UNITS":"Standardiser enheder m.m.","MANAGEMENT_TEXT":"Bevar overblikket med avancerede filtre, mapper og søgefelter, så du hurtigt finder præcis det, du leder efter.","MANAGEMENT_SUBTITLE":"Med disse og mange flere features gør du opgaverne enklere og sparer tid:","SEND_DATA":"Send data mellem sheets","SEARCH_BARS":"Søgefelter i sheets og workspaces","TIMESTAMP_COLUMNS":"Tidsstempelkolonner og filtre","VERSION_HISTORY":"7-dages versionshistorik","TAB_DEDUPLICATION":"Deduplikering","TAB_DATA_CLEANING":"Datavask","TAB_AI_ASSISTANT":"AI-assistent","TAB_MANAGEMENT":"Administration"},"HomePage":{"HERO_LABEL":"AI-drevet regneark","HERO_TITLE":"Arbejd med dine data på den nemme måde","HERO_SUBTITLE_1":"Rens, berig, automatiser og administrer alle dine lister og workflows ét sted.","HERO_SUBTITLE_2":"Datablist er AI-regnearket, der lader dig kombinere kraften og hastigheden fra AI & automatisering med sikkerheden ved menneskelig kontrol."},"Integrations":{"TITLE":"JA, vi integrerer med dine foretrukne værktøjer","SUBTITLE":"Datablist giver dig ubegrænsede muligheder for tilpasning ved at forbinde din nuværende tech stack med vores native integrationer eller ved at bygge dine egne med vores open API.","LINK_TEXT":"Se alle vores databerigelser"},"Learn":{"TITLE":"Arbejd smartere, voks hurtigere med indhold, der giver indsigter og får dig til at handle","ICP_TITLE":"Faktaene, som ingen fortæller dig, om at finde din ICP","ICP_DESC":"At finde din ICP gør alting lettere. Men når det kommer til definitioner, får du kun halvdelen af historien.","CSV_DUPLICATES_TITLE":"Sådan fjerner og fletter du duplikater i CSV gratis","CSV_DUPLICATES_DESC":"Deduplikering behøver ikke være svært, men løsningerne er det ofte. Læs denne artikel og lær, hvordan du deduplikerer nemt og gratis.","CHATGPT_TITLE":"Sådan kører du ChatGPT på rækker i Excel/CSV (gratis værktøj)","CHATGPT_DESC":"Kør ChatGPT på Excel- eller CSV-filer. Lær, hvordan du kan undgå dyre abonnementer med Datablists gratis plan (uden kode).","AI_PROMPTS_TITLE":"AI Prompts","AI_PROMPTS_DESC":"Få adgang til det mest komplette bibliotek med reelt nyttige prompts.","GLOSSARY_TITLE":"Ordliste","GLOSSARY_DESC":"Forstå alle definitioner og forkortelser inden for automatisering, GTM og AI.","DOCS_TITLE":"Docs","DOCS_DESC":"Lær at udnytte hver funktion med detaljerede vejledninger og eksempler."},"HomeUseCases":{"SUBTITLE":"Hvad er formålet med dit regneark?","CENTRALIZING_DATA_TITLE":"Centralisering af data","CENTRALIZING_DATA_DESC":"AirTable, Google Sheets, Clay osv. er ikke dårlige, men de adskiller, hvor du gemmer data, fra hvor du arbejder med dem. Datablist samler det hele ét sted. Spring imports, exports, APIs og anden kompleksitet over. Arbejd, gem og skaler i ét integreret miljø.","LEAD_SCORING_TITLE":"Lead Scoring","LEAD_SCORING_DESC":"Med Datablist kan du bruge AI til at opbygge systemer, der vurderer dine leads ud fra specifikke kriterier, så du kun går efter højkonverterende muligheder og får flere og bedre kunder hurtigere.","AI_SCRAPING_TITLE":"AI Scraping","AI_SCRAPING_DESC":"Traditionelle scrapere kan kun scrape data i et bestemt format, hvilket ofte efterlader dig med ufyldte poster eller unøjagtige data, men med Datablist kan du blot fortælle AI, hvad der skal scrapes, og den gør det hele for dig – uden at du skal lære at kode, sætte APIs op eller noget som helst komplekst. Fortæl bare, hvad du vil have, hvor det findes, og så er den der (den kan også håndtere pagination).","INVENTORY_MANAGEMENT_TITLE":"Lagerstyring","INVENTORY_MANAGEMENT_DESC":"Forbind dit leverandørkatalog med dit shopsystem, rediger data, opret dynamiske priser, automatisér lagerbeholdningen og strømlign hele din forsyningskæde. Datablist hjælper dig med at holde optimal lagerbeholdning uden hovedpinen ved traditionelle styringssystemer.","FINDING_LEADS_TITLE":"Find leads","FINDING_LEADS_DESC":"Uanset om du laver cold emailing eller cold calling, giver Datablist dig mulighed for at bruge LinkedIn, Wappalyzer, Google Maps, Instagram m.fl. til at oprette lister, mens du filtrerer efter virksomhedsstørrelse, branche, region og mere for at finde de bedste leads – alt i ét værktøj.","SCRAPING_ECOM_TITLE":"Scraping af webshops","SCRAPING_ECOM_DESC":"Hent hvilket som helst produkt og dets information fra enhver shop uden at kode – uanset om det er en lille shop bygget på Shopify eller en Amazon-merchant. Med Datablist kan du scrape tusindvis af produkter på få minutter ved blot at angive en kategoriside eller en søge-URL.","DEDUPLICATION_TITLE":"Fjernelse af dubletter","DEDUPLICATION_DESC":"Find og mærk, flet eller fjern dubletter på få minutter ved hjælp af foruddefinerede eller tilpassede regler, så du bliver færdig uden at hoppe frem og tilbage i timevis mellem ChatGPT og Excel. Datablists deduplikering- og matchingsuite er så præcis, at den fanger selv dubletter med små variationer.","AUTOMATING_SEARCHES_TITLE":"Automatisering af Google-søgninger","AUTOMATING_SEARCHES_DESC":"Opsæt en tilbagevendende søgning, der kører hver time, dagligt, ugentligt eller i et valgfrit interval. Datablists søgesystem bruger AI, så du kan gå længere end en simpel query-søgning: skriv en fuld prompt med outputformater, filtrér kun relevant information, så du ikke bare kan automatisere, men også spare tid ved at få det svar, du har brug for.","CRM_ENRICHMENT_TITLE":"CRM-berigelse","CRM_ENRICHMENT_DESC":"Tag dine CRM-data ind i Datablist, berig dem med relevante og opdaterede kontaktoplysninger, kontodata eller unikke datapunkter, som ingen andre databaser har, ved hjælp af vores AI research agent eller en af de 50+ berigelser, og send det tilbage uden besværet med at eksportere og importere filer.","PERSONALIZING_OUTREACH_TITLE":"Personalisering af outreach","PERSONALIZING_OUTREACH_DESC":"Få alt, du behøver, for at opsætte højt personaliserede kampagner, signalbaserede, evergreen-kampagner og mere – alt samlet ét sted. Fra account data, verificerede kontaktoplysninger og AI-automations til den nødvendige indsigt understøtter Datablist dig med alt, hvad du skal bruge for at generere leads.","SOMETHING_ELSE_TITLE":"Noget andet","SOMETHING_ELSE_DESC1":"Vores brugere er som regel mere kreative end os, når det gælder automatisering af workflows.","SOMETHING_ELSE_DESC2":"Så hvad vil du automatisere?"},"Testimonials":{"TITLE":"Det siger vores brugere","SUBTITLE":"18.000+ personer kan ikke tage fejl. Her er, hvad de siger"},"HowTo":{"PAGE_TITLE":"Tutorials om datavask, data-berigelse og leadgenerering","PAGE_DESC":"Lær at automatisere dine data-workflows med vores omfattende tutorials og guides.","TITLE":"Guides & Tutorials","SUBTITLE":"Lær at vækste din forretning med vores guides.","FILTER_BY_CATEGORIES":"Filtrer efter kategorier","ALL_CATEGORIES":"Alle kategorier","RELATED_GUIDES":"Relaterede guides","TABLE_OF_CONTENT":"Indholdsfortegnelse","GUIDES_COUNT":"Guides","LANDING_POPULAR":"Populære","LANDING_LATEST_ARTICLES":"Seneste artikler","CATEGORY_MORE_ARTICLES":"Flere artikler om \"{categoryName}\"","LANDING_SEE_ALL":"Se alle","LANDING_SEE_ALL_ARTICLES_TITLE":"Se alle how-to-artikler","LANDING_SEE_ALL_ARTICLES_DESCRIPTION":"Gennemse hele arkivet for at finde alle guides, tutorials og workflows samlet ét sted.","LANDING_BROWSE_ALL_GUIDES":"Gennemse alle how-to-guides","CATEGORY_BROWSE_ALL_GUIDES":"Se alle guides om {categoryName}","TUTORIALS_BREADCRUMB":"Tutorials","GUIDES_BREADCRUMB":"Guides","HOME_BREADCRUMB":"Hjem","MIN_READ":"{minutes} min. læsning","AUTHORS_CATEGORY":"Forfattere","AUTHOR_GUIDES_DESCRIPTION":"Gennemse alle how-to-guides og tutorials skrevet af {authorName}.","CATEGORY_TITLES":{"DATA_CLEANING":"Datavask","CRM_HYGIENE":"CRM-hygiejne","AI_AUTOMATION":"AI & Automatisering","NO_CODE_SCRAPING":"No-code scraping","DATA_ENRICHMENT":"Data-berigelse","SALES_MARKETING":"Salg & Marketing","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 nogensinde undret dig over, hvorfor dine marketingkampagner ikke rammer plet? Eller hvorfor dit salgsteam har svært ved at finde de rigtige kontakter? Det skyldes ofte rodet data. Dårlig data koster virksomheder dyrt, fører til spildt arbejde og tabte muligheder. Vores guides viser dig, hvordan du tager styringen. Vi går dig igennem enkle trin til at rense dine lister, fjerne duplikater og rette fejl. Med vores hjælp lærer du at forvandle dine data fra kaos til en stærk forretningsressource. Vores artikler dækker alt fra hurtige løsninger til avancerede strategier, så du kan forbedre datakvaliteten uden at være teknisk ekspert. Gør dig klar til at rydde op i dine data, strømline dine processer og skabe bedre forretningsresultater.","CRM_HYGIENE":"Dit CRM er hjertet i dine salgs- og marketingindsatser. Men hvis det er fyldt med forældede, duplikerede eller ufuldstændige poster, holder det dig tilbage. Vores artikler om CRM-hygiejne giver dig de værktøjer og tips, du skal bruge for at holde din database i topform. Du lærer at opsætte simple processer for dataindtastning, vedligeholde korrekte kontaktoplysninger og sikre, at hver post er værdifuld. Vi viser, hvordan du undgår de typiske faldgruber, der skaber rod i CRM, så dit team nemmere kan finde det, de søger, og lukke aftaler hurtigere. Et rent CRM betyder en sundere forretning, og vores guides hjælper dig dertil.","AI_AUTOMATION":"Klar til at arbejde smartere i stedet for hårdere? AI og automatisering ændrer spillereglerne for virksomheder overalt. Vores artikler viser, hvordan du bruger disse stærke værktøjer til at automatisere gentagne opgaver, analysere data på nye måder og træffe bedre beslutninger. Du lærer at integrere AI i dine daglige workflows – fra at bruge chatbots til at håndtere kundespørgsmål til at automatisere dataklassificering. Vi bryder komplekse koncepter ned til simple, handlingsorienterede trin. Uanset om du er ejer af en mindre virksomhed eller en del af et større team, hjælper vores guides dig med at udnytte AI til at øge produktiviteten og åbne nye vækstmuligheder. Det er tid til at lade teknologien arbejde for dig.","NO_CODE_SCRAPING":"Web scraping var tidligere et job for udviklere. Ikke længere. Med vores no-code scraping-guides kan du indsamle de data, du har brug for, fra enhver hjemmeside – uden tekniske færdigheder. Vi guider dig gennem enkle, kraftfulde værktøjer, der lader dig udtrække alt fra kontaktoplysninger til produktdetaljer. Vores artikler dækker det grundlæggende i scraping og viser, hvordan du håndterer komplekse sites uden at skrive en eneste linje kode. Du lærer at bygge målrettede lead-lister, overvåge konkurrentpriser og indsamle markedsanalyse på ingen tid. Sig farvel til manuel dataindsamling og goddag til hurtig, effektiv og ubesværet scraping.","DATA_ENRICHMENT":"Dine data er værdifulde, men mangler sikkert centrale detaljer. Data-berigelse handler om at udfylde hullerne. Vores artikler viser, hvordan du kan tage en simpel oplysning, som en emailadresse, og gøre den til en komplet profil. Du lærer at finde virksomhedsnavne, stillingsbetegnelser, profiler på sociale medier og meget mere. Denne proces hjælper dig med at personalisere din outreach, forbedre din targeting og skabe et mere komplet billede af dine kunder. Vores guides dækker de bedste værktøjer og metoder til at berige dine data, så hver post bliver mere værdifuld og hjælper dig med at forbinde med de rigtige personer.","SALES_MARKETING":"Salg og marketing er to sider af samme sag, og når de arbejder sammen, vokser din forretning. Vores artikler er fyldt med strategier og indsigter, der hjælper jeres teams med at samarbejde effektivt. Vi dækker alt fra at bygge en stærk Ideal Customer Profile til at skabe engagerende outreach-kampagner. Du finder praktiske råd om leadgenerering, konverteringsoptimering og customer retention. Vores guides fokuserer på hands-on taktikker, der skaber resultater, hjælper dig med at tiltrække flere kvalificerede leads og gøre dem til loyale kunder. Gør dig klar til at skabe alignment mellem dine salgs- og marketingindsatser og nå dine forretningsmål."}},"Enrichments":{"TITLE":"Berigelse og sourcing","API_DOCUMENTATION":{"LABEL":"API","CTA_LABEL":"API documentation","NEW_TAB":"(opens in a new tab)"},"LISTING_ACTION":"Læs mere","CATALOG_CTA":{"ENRICHMENTS_TITLE":"Se alle databerigelser","SOURCES_TITLE":"Se alle datakilder","BODY":"Opret en gratis Datablist-konto for at se hele kataloget.","LABEL":"Opret en gratis konto"},"AI_AGENT_TEXT":"Lås op for unikke indsigter og automatiser søgninger på få minutter, som dine konkurrenter skal bruge timer på.","AI_AGENT_SUBTITLE":"For eksempel kan vores AI Agent:","RESEARCH_BUSINESSES":"Undersøg små virksomheder","MONITOR_PRICING":"Overvåg prissider","SCRAPE_DATA":"Scrape ustrukturerede data","FIND_REVIEWS":"Find produktanmeldelser & mere","B2B_TEXT":"Få adgang til 50+ datakilder af høj kvalitet for at finde og nå ud til din næste kunde.","B2B_SUBTITLE":"Berig dit CRM, ATS eller enhver anden database med præcise, opdaterede data.","GET_EMAILS":"Få emails og telefonnumre.","FIND_ACCOUNT_DATA":"Find opdaterede virksomhedsdata.","SCRAPE_PROFILES":"Scrape profiler på sociale medier.","TRACK_POSITIONS":"Følg ledige stillinger.","SYNC_TEXT":"Gå ud over begrænsningerne i Excel, Google Sheets og AirTable.","SYNC_SUBTITLE":"Med Datablist kan du:","IMPORT_FILES":"Importer filer med op til 2 millioner rækker.","SYNC_CLOUD":"Synkroniser 100.000 rækker pr. ark til skyen.","CONNECT_TOOLS":"Forbind til ethvert eksternt værktøj uden kode.","FILTER_DATA":"Filtrer dine data før 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. 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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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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. 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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. Output: Website Status, HTTP Status Code, Final URL, Page Title and Error Message.","groups":["Your data","Added by Website Status & Parked Domain Checker"],"headers":["Website Url","Website Status","HTTP Status Code","Final URL","Page Title","Error Message"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many websites you want to check and we'll show you the cheapest way to run them.","unitsLabel":"Websites to check","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which check?","modes":["Standard check (0.2 credits per website)","With a proxy retry (0.6 credits per website)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Website Status & Parked Domain Checker costs 0.20 credits per check, and 0.60 credits when a protected site needs a proxy retry. A cached URL costs 0.05 credits. The estimate charges every website you enter once at the rate you select, and assumes unreachable sites are charged too, because the cost line does not say otherwise. Plan credits renew every month and reset if unused. 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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":"Virksomhedsnavn til domæne – Find virksomhedsdomæner i bulk | Datablist","description":"Konvertér en liste med virksomhedsnavne til verificerede domæner i bulk. Datablist tjekker først virksomhedsdatabaser, bruger derefter en live Google-søgning og giver hvert match en score."},"breadcrumb":"Virksomhedsnavn til domæne","tabs":["Oversigt","Sådan bruger du værktøjet"],"hero":{"title":"Virksomhedsnavn til domæne","description":"Konvertér en liste med virksomhedsnavne til de tilhørende domæner. Først kuraterede databaser og derefter en live Google-søgning efter de navne, de ikke finder.","trust":["Præcise domæner","Overholder GDPR","38.000+ brugere"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Find 500 domæner gratis","guide":"Se hele guiden","note":"Intet betalingskort nødvendigt"},"glance":{"eyebrow":"Oversigt","title":"Kort fortalt","description":"Domænet er det første felt, som alle andre enrichments kræver. Datablist matcher dine virksomhedsnavne med kuraterede virksomhedsdatabaser og bruger derefter en live Google-søgning til dem, databaserne ikke finder.","cards":[{"title":"Det leverer du","items":["Virksomhedsnavn: f.eks. Datablist, ét pr. række","Valgfrit: Målland: Indsnævrer matchet og kan angives pr. liste eller pr. række","Intet andet: Intet domæne, ingen URL og ingen LinkedIn-side"],"links":["Se hele inputreferencen"]},{"title":"Det får du","items":["Virksomhedsdomæne og fuld URL: f.eks. datablist.com og https://www.datablist.com","Domænesikkerhed: Høj, Mellem, Lav eller Meget lav på hver række","Status: success, not_found eller empty_name"],"links":["Se eksempel på output","Se hele outputreferencen"]},{"title":"Sådan afregnes det","items":["1 credit pr. databasematch: Den hurtige metode, som bruges til de fleste navne","2,5 credits pr. 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Navne og virksomheder er fiktive, og dine resultater kan variere.","footer":""},"calculator":{"eyebrow":"Beregner","title":"Hvad kommer det til at koste?","description":"Fortæl os, hvor mange virksomhedsnavne du skal finde domæner til, så viser vi dig den billigste løsning.","unitsLabel":"Virksomhedsnavne, der skal slås op","workflowLabel":"Hvilket workflow?","workflows":["Kun virksomhedsdatasæt (1 credit pr. match)","Datasæt og derefter Google fallback (2,5 credits pr. Google-søgning)"],"matchRateLabel":"Andel af navnene, som du forventer, at databasen matcher","needsLabel":"Har du også brug for at:","needs":["Køre dette via API/MCP","Opsætte automatiseret enrichment"],"resultLabels":["Anbefalet abonnement","Ekstra credits","Credits, du vil have"],"totalLabel":"I alt denne måned","cta":"Prøv gratis","note":"Intet betalingskort nødvendigt","pricingLink":"Se priser","creditsTitle":"Sådan fungerer credits","creditsBody":"1.000 credits = 1 $, så hver credit koster en tiendedel cent. Et databasematch koster 1 credit og opkræves kun, når der findes et domæne. En Google fallback-søgning koster 2,5 credits og opkræves uanset resultatet. Derfor er fordelingen mellem de to afgørende for din regning. Matchraten ovenfor er dit estimat og ikke et tal fra Datablist: Kør først en stikprøve med nogle hundrede navne, og angiv raten ud fra de faktiske resultater. Google-resultater caches i 48 timer, så det koster 1 credit pr. række i stedet for 2,5 at ændre en indstilling og køre igen inden for dette tidsrum. Credits i abonnementet fornyes hver måned og nulstilles, hvis de ikke bruges. Ekstra credits udløber aldrig.","datasetHint":"= {credits} credits ved 1 credit pr. matchet domæne","googleHint":"= {credits} credits: {matched} databasematches til 1 credit og {googled} Google-søgninger til 2,5 credits","planPrice":"{plan}: {price}/md.","growthReason":"Påkrævet: Adgang til API/MCP og automatisering starter med Growth-abonnementet.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"Du sparede {amount} ({discount}% i forhold til grundprisen) på dine ekstra credits","leftover":"{credits} credits tilbage til andre enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"Processen","title":"Sådan fungerer det","description":"Datablist starter med den billigste og mest pålidelige kilde, fortsætter til den bredeste og giver det fundne en score.","steps":[{"label":"Trin 1","title":"Upload dine virksomhedsnavne","body":"Importér en CSV- eller Excel-fil med ét virksomhedsnavn pr. række. Uensartede navne er helt i orden. Hvis din liste dækker flere lande, kan du tilføje en landekolonne, som Datablist bruger til at indsnævre hvert match."},{"label":"Trin 2","title":"Først databaser, derefter Google","body":"Datablist matcher dine navne med kuraterede virksomhedsdatasæt. Det er hurtigt og koster 1 credit pr. match. Navne, som datasættene ikke finder, sendes videre til en live Google-søgning, der springer kataloger og sociale netværk over."},{"label":"Trin 3","title":"Hvert match får et sikkerhedsniveau","body":"Hver række returneres med sikkerhedsniveauet Høj, Mellem, Lav eller Meget lav. Acceptér automatisk dem med høj sikkerhed, gennemgå dem i midten, og send resten til AI Agent med ekstra kontekst."}]},"customers":{"title":"Betroet af hurtigt voksende startups og Fortune 500-teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop med manuelt arbejde, som Datablist kan udføre på få sekunder","body":"Prøv Datablist, og se, hvor nemt det er at automatisere workflows. Mere end 38.000 brugere oplever allerede fordelene!","label":"Tal med os"},"templates":{"eyebrow":"Workflows","title":"Skabeloner","description":"Kom hurtigt i gang med færdige workflows baseret på virksomhedsdomæner.","cards":[{"title":"Avanceret website finder","description":"Find domæner til de navne, som hverken datasættet eller Google finder.","imageAlt":""},{"title":"Virksomheds-enrichment","description":"Gå fra et virksomhedsnavn til komplette firmografiske data.","imageAlt":""},{"title":"Virksomhedsnavn til LinkedIn","description":"Find virksomhedernes LinkedIn-sider ud fra deres navne.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Relaterede vejledninger","description":"Lær de nyeste workflows med detaljerede trin-for-trin-guides.","cards":[{"title":"Virksomhedsnavn til domæne: 3 metoder til bulk-søgning","imageAlt":"Virksomhedsnavn til domæne: 3 metoder til bulk-søgning"},{"title":"Sådan beriger du virksomhedsdata ud fra virksomhedsnavne","imageAlt":"Sådan beriger du virksomhedsdata ud fra virksomhedsnavne"},{"title":"Et alternativ til Clearbit til at finde virksomhedsdomæner","imageAlt":"Et alternativ til Clearbit til at finde virksomhedsdomæner"}]},"faq":{"eyebrow":"FAQ","title":"Ofte stillede spørgsmål","description":"Svar på almindelige spørgsmål om matchrater, afregning og håndtering af tvetydige virksomhedsnavne.","items":[{"question":"Hvad koster det at finde domæner til 500 virksomhedsnavne?","answer":"Det afhænger af, hvilken metode der bruges til hvert navn. Et databasematch koster 1 credit og opkræves kun, når der findes et domæne, så 500 vellykkede match koster cirka 500 credits. En Google fallback-søgning koster 2,5 credits og opkræves, uanset om den finder noget. Brug beregneren ovenfor til at modellere din egen fordeling."},{"question":"Hvad fortæller scoren for domænesikkerhed mig helt konkret?","answer":"Hvor sikker Datablist er på, at domænet tilhører det pågældende navn. Resultatet angives som Høj, Mellem, Lav eller Meget lav. Formålet er prioritering i stor skala: Acceptér automatisk Høj, gennemgå Mellem, før du bruger resultatet senere i dit workflow, og send Lav og Meget lav til en mere avanceret metode i stedet for at sende emails til dem."},{"question":"Hvordan håndterer I tvetydige navne som \"Dove\" eller \"United\"?","answer":"Et navn uden kontekst er reelt tvetydigt, og ingen søgning kan afklare det alene. To ting kan hjælpe. Angiv et målland pr. liste eller pr. række for at reducere antallet af kandidater. Kør derefter AI Agent på de resterende navne med ekstra kontekst som by, branche eller beskrivelse, så den kan vurdere, hvilket match der passer."},{"question":"Hvad sker der, når en søgning ikke giver noget resultat?","answer":"Outputtet Status returneres som not_found eller som empty_name, hvis inputfeltet var tomt. Filtrér visningen til disse rækker, og prøv igen: Tilføj et land, aktivér Google fallback, hvis du kun brugte databaser, eller flyt dem til AI Agent med mere kontekst."},{"question":"Hvorfor får jeg katalogsider i stedet for virksomhedernes websites?","answer":"Når Datablist vurderer Google-resultater, springer værktøjet som standard URL'er, der ikke ligger på roddomænet, og kendte kataloger som Crunchbase samt sociale netværk som LinkedIn og Facebook over. Hvis et branchespecifikt katalog stadig slipper igennem, kan du føje det til Spring følgende domæner over, så det udelukkes sammen med standardlisten."},{"question":"Kan jeg angive et forskelligt målland for hver række?","answer":"Ja. Aktivér Angiv målland pr. element, så der vises et inputfelt til Målland, som du kan knytte til en kolonne. Accepterede formater er ISO 3166-koder (FR, USA) eller det fulde engelske navn (Portugal). Rækker med et manglende eller ugyldigt land bruger den globale indstilling for Målland."},{"question":"Bliver jeg opkrævet to gange, hvis jeg kører enrichment igen?","answer":"Ikke for Google. Disse resultater caches i 48 timer, så hvis du ændrer en indstilling og kører igen inden for dette tidsrum, koster rækken 1 credit i stedet for 2,5. For at undgå at behandle rækker, du allerede har fundet domæner til, kan du filtrere visningen til dem, hvor domænet er tomt, og køre på alle elementer i visningen."},{"question":"Hvad skal jeg gøre, når jeg har domænerne?","answer":"Domænet åbner for resten af din stack. Virksomheds-enrichment tilføjer branche, størrelse, lokation og stiftelsesår. Waterfall Email Finder bruger et navn sammen med domænet og returnerer en verificeret emailadresse. Teknologi-enrichment aflæser virksomhedens stack fra websitet."}]},"related":{"eyebrow":"Integrationer","title":"Relaterede enrichments","description":"Kombinér Company Domain Finder med supplerende dataværktøjer i Datablist.","cards":[{"title":"Virksomheds-enrichment","description":"Konvertér et domæne til branche, størrelse, lokation og stiftelsesår.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Brug domænet sammen med et navn til at finde en verificeret emailadresse.","imageAlt":""},{"title":"Oprydning af virksomhedsnavne","description":"Fjern LLC og Inc, og ret brugen af store og små bogstaver, før du kører søgningen.","imageAlt":""}],"action":"Se alle enrichments"},"free":{"eyebrow":"Gratis værktøjer","title":"Prøv det gratis først","description":"Gratis versioner af relaterede værktøjer, som du kan afprøve på nogle få rækker, før du skalerer op.","cards":[{"title":"Gratis Domain Finder","description":"Indsæt virksomhedsnavne, og find deres websites. Gratis og uden betalingskort.","imageAlt":""},{"title":"Gratis oprydning af virksomhedsnavne","description":"Standardisér virksomhedsnavne: Fjern juridiske endelser, ret store og små bogstaver, og markér dubletter.","imageAlt":""},{"title":"Gratis Email Finder","description":"Find en arbejds-email ud fra et navn og en virksomhed. Gratis at prøve.","imageAlt":""}],"action":"Se alle gratis værktøjer"},"guide":{"hero":{"title":"Sådan bruger du Datablists Virksomhedsnavn til domæne","description":"Kør Datablists Virksomhedsnavn til domæne på din egen liste i 6 trin – helt uden kode. Efter guiden finder du en oversigt over indstillingerne og svar på almindelige spørgsmål.","trust":["Nem at bruge","Ingen teknisk konfiguration","Helt no-code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Gå til et afsnit","items":["Trin-for-trin-guide","Oversigt over indstillinger","Relaterede artikler","Ofte stillede spørgsmål"]},"title":"Trin-for-trin-guide","reference":{"title":"Oversigt over indstillinger","description":"En oversigt over alle indstillinger samt inputs og outputs. Trin-for-trin-guiden ovenfor dækker alt, hvad du skal bruge for at komme i gang.","groups":[{"title":"Indstillinger","rows":[["Workflow","Valg","Brug kun virksomhedsdatasættet, eller lad Datablist foretage en Google-søgning efter de navne, som datasættet ikke finder"],["Målland","Tekst","Indsnævr søgningen til ét land. Filtrerer datasættet og angiver landet for Google"],["Angiv målland pr. element","Afkrydsningsfelt","Tilføjer et inputfelt til Målland, så du kan angive landet pr. række"],["Acceptér websites, der ikke ligger på roddomænet","Afkrydsningsfelt","Tillad resultater, der ikke er et roddomæne, f.eks. en virksomhedsside på en hostingplatform"],["Spring følgende domæner over","Lang tekst","Kommaseparerede domæner, der skal udelukkes ud over den indbyggede liste over kataloger og sociale netværk"],["Behandl kun cachede Google-resultater","Afkrydsningsfelt","Genbrug kun gemte Google-resultater, foretag ingen nye live søgninger, og spring resultater fra datasættet over"]]},{"title":"Inputs","rows":[["Virksomhedsnavn","Tekst","Navnet på den virksomhed, der skal slås op, f.eks. google"],["Målland","Tekst","Vises kun, når Angiv målland pr. element er aktiveret. ISO 3166-kode eller engelsk landenavn"]]},{"title":"Outputs","rows":[["Virksomhedsdomæne","Tekst","Virksomhedens domæne, f.eks. google.com, når der findes et"],["Virksomhedens fulde URL","URL","Virksomhedens fulde URL, f.eks. https://www.google.com, når der findes en"],["Domænesikkerhed","Tekst","Hvor stærkt matchet er: Høj, Mellem, Lav eller Meget lav"],["Status","Tekst","Enten success, not_found eller empty_name"]]}]},"cta":{"title":"Stop med manuelt arbejde, som Datablist kan udføre på få sekunder","body":"Prøv Datablist, og se, hvor nemt det er at automatisere workflows. Mere end 38.000 brugere oplever allerede fordelene!","label":"Tal med os"},"articles":{"title":"Relaterede artikler","cards":[{"title":"Virksomhedsnavn til domæne: 3 metoder til bulk-søgning","imageAlt":"Virksomhedsnavn til domæne: 3 metoder til bulk-søgning"},{"title":"Find virksomhedswebsites ud fra virksomhedsnavne","imageAlt":"Find virksomhedswebsites ud fra virksomhedsnavne"},{"title":"Sådan beriger du virksomhedsdata ud fra virksomhedsnavne","imageAlt":"Sådan beriger du virksomhedsdata ud fra virksomhedsnavne"}]},"steps":[{"title":"Trin 1: Opret en konto, og upload dine data","paragraphs":["Opret først en konto på <a href=\"signup\">Datablist.com</a>","Upload derefter din CSV- eller Excel-fil med listen over virksomhedsnavne"],"imageAlts":["Virksomhedsnavn til domæne – Opret en konto","Virksomhedsnavn til domæne – Upload din virksomhedsliste"]},{"title":"Trin 2: Åbn enrichment-værktøjet Find virksomhedsdomæner","paragraphs":["1. Klik på Enrich i topmenuen","2. Åbn fanen Companies","3. Vælg Find Company Domain from Company Name."],"imageAlts":["Virksomhedsnavn til domæne – Enrichment-bibliotek"]},{"title":"Trin 3: Konfigurér workflowet","paragraphs":["Vælg \"Use only companies dataset\" under Workflow. Det er den billigste metode og koster 1 credit pr. fundet domæne.","Angiv Target Country, eller markér Define Target Country By Item, hvis hver række har sin egen landekolonne.","Vælg i stedet Google-workflowet for også at dække de navne, som datasættet ikke finder. Datablist foretager derefter en live søgning efter de resterende navne til 2,5 credits pr. søgning, uanset om der findes et domæne."],"imageAlts":["Virksomhedsnavn til domæne – Indstillinger for database-workflow","Virksomhedsnavn til domæne – Indstilling for Google-workflow"]},{"title":"Trin 4: Tilknyt kolonnen med virksomhedsnavne","paragraphs":["1. Angiv kolonnen med dine virksomhedsnavne som Input Property","2. Klik på Continue to outputs configuration"],"imageAlts":["Virksomhedsnavn til domæne – Tilknyt inputkolonnen"]},{"title":"Trin 5: Vælg dine domæneoutputs","paragraphs":["1. Brug ikonerne ⊕ eller Add all 3 outputs to collection til at føje outputtene til din samling.","2. Klik på Instant Run","Behold Domænesikkerhed og Status. De gør det muligt at prioritere resultaterne bagefter i stedet for at stole lige meget på alle rækker."],"imageAlts":["Virksomhedsnavn til domæne – Konfiguration af outputs"]},{"title":"Trin 6: Kør enrichment i bulk","paragraphs":["Konfigurér til sidst dine kørselsindstillinger ved at klikke på vinklen i højre side af knappen. Derefter kan du vælge mellem følgende muligheder:","• Kør på de første 10 elementer: Velegnet til at kontrollere resultaterne, før du fortsætter","• Kør på de første 100 elementer: Nyttigt, hvis du vil validere større stikprøver","• Kør på de første {X} elementer: Giver dig mulighed for at vælge, hvor mange elementer du vil behandle","• Kør på alle elementer i visningen: Behandl hele din liste (eller visningen, hvis du har aktiveret filtre)","Når du har valgt den ønskede mulighed, skal du klikke på Run on X items","På få minutter har du en kolonne med verificerede domæner ved siden af dine virksomhedsnavne, klar til næste enrichment.","Sortér eller filtrér efter Domænesikkerhed, og send derefter rækkerne med Lav, Meget lav og not_found til AI Agent med ekstra kontekst som by eller branche."],"imageAlts":["Virksomhedsnavn til domæne – Kørselsindstillinger","Virksomhedsnavn til domæne – Kørsel med Website Finder","Virksomhedsnavn til domæne – Databaseresultater","Virksomhedsnavn til domæne – Resultater fra AI Agent"]}],"faq":{"title":"Ofte stillede spørgsmål","items":[{"question":"Hvad er forskellen på de to workflowmuligheder?","answer":"Workflowet med kun virksomhedsdatasættet matcher dine navne med kuraterede navn-til-domæne-datasæt. Det er den hurtige metode, koster 1 credit og opkræves kun ved et match. Den anden mulighed tilføjer en live Google-søgning efter de navne, som datasættet ikke kunne matche, til 2,5 credits pr. søgning, uanset om der findes et domæne."},{"question":"Hvilket domæne får jeg, når flere domæner matcher et navn?","answer":"Det med mest trafik. Hvis det ikke er den ønskede metode, er afgrænsning efter Målland det mest effektive værktøj, da det filtrerer datasættet, før der overhovedet skal vælges mellem flere match."},{"question":"Hvad gør Acceptér websites, der ikke ligger på roddomænet?","answer":"Som standard afviser Datablist Google-resultater, der ikke ligger på et roddomæne. Det holder katalogsider som directory.com/mycompany ude af din liste. Ulempen er, at du også går glip af reelle virksomheder, hvis website ligger på en platform, f.eks. hostingplatform.com/mycompanypage. Aktivér indstillingen, når din liste indeholder mange små virksomheder."},{"question":"Hvordan påvirker Googles cache på 48 timer mine credits?","answer":"Datablist cacher Google-søgeresultater i 48 timer. Hvis du ændrer Acceptér websites, der ikke ligger på roddomænet eller Spring følgende domæner over og kører igen inden for dette tidsrum, hentes resultaterne fra cachen og koster 1 credit pr. række i stedet for 2,5. Det gør det billigt at finjustere disse to indstillinger."},{"question":"Hvad bruges Behandl kun cachede Google-resultater til?","answer":"Indstillingen begrænser kørslen til Google-resultater, du allerede har betalt for, og springer resultater fra datasættet helt over. Brug den til at give en tidligere kørsel nye scorer med andre indstillinger uden at betale for nye live søgninger."},{"question":"Hvilke landeformater accepterer Målland?","answer":"ISO 3166 Alpha-2-koder som FR, Alpha-3-koder som USA eller det fulde engelske landenavn som Portugal. Hvis en rækkes land mangler eller er ugyldigt, bruger Datablist den globale indstilling for Målland."},{"question":"Hvordan kører jeg kun de rækker igen, der mislykkedes?","answer":"Filtrér din visning efter Status eller efter Domænesikkerhed for de svage match, og vælg derefter Kør på alle elementer i visningen. Kun rækkerne i den filtrerede visning behandles, så du ikke betaler igen for rækker, du allerede har fundet domæner til."},{"question":"Hvornår bør jeg bruge AI Agent i stedet?","answer":"Når et navn er tvetydigt, og du har kontekst, som den almindelige søgning ikke kan bruge. Både datasættet og Google arbejder kun ud fra navnet. AI Agent kan modtage en by, branche eller beskrivelse sammen med navnet, undersøge virksomheden og returnere et domæne med en sikkerhedsscore og en forklaring. Gem den til de resterende navne, da den afregnes efter forbrug og koster mere pr. række."}]}},"corner":{"title":"Prøv gratis","body":"Konvertér dine virksomhedsnavne til verificerede domæner i bulk. Mere end 38.000 brugere er allerede på Datablist.","label":"Prøv gratis","close":"Luk 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. 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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":"Kloge mennesker spørger ofte","WHAT_IS_TITLE":"Hvad er Datablist?","WHAT_IS_TEXT":"Datablist er et AI-drevet regneark, der lader dig arbejde med dine data på den nemmest mulige måde – fra deduplikering og datavask til bearbejdning, berigelse og automatisering af workflows.","TECHNICAL_TITLE":"Er Datablist bygget til tekniske brugere?","TECHNICAL_TEXT":"Datablist er for alle, der skal arbejde med data – fra begyndere til power users. Vores regnearksgrænseflade og læringsressourcer sikrer, at du kan komme i gang og være produktiv med det samme.","INDUSTRIES_TITLE":"Hvilke brancher og teams bruger Datablist?","INDUSTRIES_TEXT":"Selvom størstedelen af vores kunder arbejder inden for salg, e-com operations, SaaS growth eller finans, er vi ikke begrænset til bestemte brancher eller teams – vi arbejder gerne med dem alle.","INTEGRATIONS_TITLE":"Hvilke værktøjer kan vi integrere med Datablist?","INTEGRATIONS_TEXT":"Datablist kan integrere med mange CRM'er og hjælper dig med at skære ned på mange abonnementer, såsom scrapers og email finders. Det låser også op for værktøjer, som ingen anden platform tilbyder, såsom vores AI research agent og deduplication assistant."},"FeatAIAgent":{"PAGE_TITLE":"AI Agent: Automatisér web research og dataudtræk","PAGE_DESC":"Brug Datablists AI Agent til at scrape ethvert website, automatisere Google-søgninger og udtrække strukturerede data med simple prompts. Ingen kode nødvendig.","HERO_TITLE":"Din automatiserede AI research-assistent","DESCRIPTION":"Stop med at spilde timer på manuelt research-arbejde. Beskriv dit mål på helt almindeligt engelsk, og vores AI Agent vil søge på Google, browse websites og udtrække de præcise data, du har brug for—helt automatisk.","FEATURE":"Feature","POWERFUL_AUTOMATION":"Kraftfuld automatisering","100%ONLINE":"100% online","EASY_TO_USE":"Nem at bruge","BEYOND_SCRAPING_TITLE":"Gå ud over traditionel web scraping","BEYOND_SCRAPING_DESC_1":"Traditionelle web scrapers er afhængige af stive regler og går i stykker i det øjeblik et websites layout ændrer sig. De kan ikke forstå kontekst eller håndtere komplekse, dynamiske sites.","BEYOND_SCRAPING_DESC_2":"Vores AI Agent er anderledes. Drevet af avancerede large language models, den forstår betydningen af indhold—ikke kun dets HTML-struktur. Den navigerer på websites som et menneske, hvilket gør den mere robust, alsidig og i stand til at udtrække nuanceret information.","BEYOND_SCRAPING_DESC_3":"Giv den et mål, og den planlægger og udfører trinene for at nå det\u0000fra at følge links og paginere gennem resultater til at analysere ustruktureret tekst.","HOW_IT_WORKS_TITLE":"Sådan fungerer AI Agent","HOW_IT_WORKS_DESC":"AI Agent følger en simpel, men kraftfuld proces for at gøre din forespørgsel til strukturerede data.","STEP_1_TITLE":"1. Du sætter målet","STEP_1_DESC":"Angiv en start-URL og en klar prompt, der forklarer, hvilke data du skal udtrække, og hvordan de skal formateres.","STEP_2_TITLE":"2. Agenten navigerer og forstår","STEP_2_DESC":"Agenten besøger websitet, gengiver JavaScript og analyserer indholdet for at forstå konteksten og finde de relevante oplysninger.","STEP_3_TITLE":"3. Den håndterer komplekse sider","STEP_3_DESC":"Skal du scrape en liste over flere sider? Aktiver blot pagination. Agenten vil intelligent finde og klikke på 'next' for at samle data fra alle sider.","STEP_4_TITLE":"4. Data udtrækkes og struktureres","STEP_4_DESC":"Baseret på din prompt udtrækker agenten de angivne datapunkter og leverer dem pænt i dine forudkonfigurerede kolonner.","USE_CASES_TITLE":"Fra Lead Gen til markedsindsigt: Uendelige muligheder","USE_CASE_LEAD_GEN_TITLE":"Boost din Lead Generation","USE_CASE_LEAD_GEN_DESC":"Find hyperrelevante personaliseringspunkter i stor skala. Scrape virksomheders case-studier, identificer nøglepersoner på 'Om os'-sider, eller udtræk kontaktoplysninger fra tyske 'Impressum'-sider.","USE_CASE_LEAD_GEN_LINK":"Se hvordan du scraper case-studier","USE_CASE_ECOMMERCE_TITLE":"E-commerce & produkt-scraping","USE_CASE_ECOMMERCE_DESC":"Udtræk produktnavne, priser, specifikationer og beskrivelser fra enhver e-commerce shop, også på tværs af flere kategorisider.","USE_CASE_ECOMMERCE_LINK":"Lær at scrape e-commerce sites","USE_CASE_REVIEWS_TITLE":"Anmeldelser & sentimentanalyse","USE_CASE_REVIEWS_DESC":"Saml kundefeedback ved at scrape anmeldelsesplatforme som Trustpilot eller Trusted Shops. Analyser sentiment og identificer gennemgående temaer for at forstå markedet.","USE_CASE_REVIEWS_LINK":"Guide til at scrape Trustpilot","USE_CASE_RESEARCH_TITLE":"Automatiseret markedsanalyse","USE_CASE_RESEARCH_DESC":"Automatisér gentagne Google-søgninger for hver række i dit regneark. Overvåg konkurrentnyheder, følg branchens tendenser, eller indsam data til rapporter uden manuelt arbejde.","USE_CASE_RESEARCH_LINK":"Lær at automatisere Google-søgninger","VIDEO_TITLE":"Se AI Agent i aktion","VIDEO_TEXT":"Se, hvordan AI Agent kan besøge en liste over tyske websites, finde 'Impressum'-siden og udtrække strukturerede kontaktoplysninger—en opgave, som er umulig for traditionelle scrapers.","TALK_TO_US_TEXT":"Klar til at sætte din web research på autopilot? Prøv AI Agent, og begynd at omsætte ustrukturerede webdata til handlingsrettede indsigter.","CSV_EDITOR_DESCRIPTION":"En moderne CSV-editor til at håndtere dine CSV-filer online. Åbn og rediger dine data direkte i din browser","LEAD_LIST_BUILDING":"Byg, rens og berig dine lead-lister","LEAD_BUILDING_DESCRIPTION":"Det bedste værktøj til at dykke ned i lead-lister med høj volumen. Organiser, berig og find de perfekte prospects."},"FeatAIEditing":{"PAGE_TITLE":"AI Editing: Automatiser Excel- og CSV-opgaver med prompts","PAGE_DESC":"Erstat komplekse formler og makroer. Brug simple prompts til at rense, transformere og analysere dine data i stor skala med Datablist's AI Editing-feature.","HERO_TITLE":"Automatiser regnearksopgaver med AI","DESCRIPTION":"Stop med at slås med komplekse formler. Beskriv blot på almindeligt engelsk, hvad du har brug for, og lad vores AI generere det perfekte script til at rense, transformere og analysere dine data på få sekunder.","FEATURE":"Feature","UNLIMITED":"Ubegrænset brug","100%ONLINE":"100% Online","NO_CODE":"No Code","REPLACE_FORMULAS_TITLE":"Erstat formler med simple prompts","REPLACE_FORMULAS_DESC_1":"Træt af at slå VLOOKUP-syntaks op eller debugge komplekse Excel-formler? Med AI Editing kan du sige farvel til formel-frustration.","REPLACE_FORMULAS_DESC_2":"Skriv blot, hvad du vil gøre, og vores AI genererer straks et skræddersyet script til at håndtere opgaven. Det er som at have en dataekspert ved din side, klar til at automatisere enhver dataopgave.","REPLACE_FORMULAS_DESC_3":"Uanset om du renser virksomhedsnavne, standardiserer adresser eller scorer leads, omsætter AI Editing dine instruktioner til handling.","HOW_IT_WORKS_TITLE":"Sådan fungerer det: Fra prompt til perfekte data i 4 trin","STEP_1_TITLE":"1. Importér dine data","STEP_1_DESC":"Upload din CSV- eller Excel-fil til Datablist. Vores platform håndterer store datasæt uden problemer, så du kan arbejde med hele din liste på én gang.","STEP_2_TITLE":"2. Åbn AI Editing","STEP_2_DESC":"Gå til menuen 'Edit' og vælg 'AI Editing'. Det åbner prompt-interfacet, hvor magien sker.","STEP_3_TITLE":"3. Skriv din prompt","STEP_3_DESC":"Beskriv opgaven, du vil udføre. Brug variabler ved at skrive /ColumnName for at referere til dine data. Vær så specifik, som du har brug for!","STEP_4_TITLE":"4. Forhåndsvis og kør","STEP_4_DESC":"AI'en genererer et script og viser dig en live forhåndsvisning af ændringerne. Hvis det ser rigtigt ud, klik 'Run' for at behandle hele din liste med det samme.","USE_CASES_TITLE":"Lås op for kraftfulde use cases","USE_CASE_FIND_REPLACE_TITLE":"Find og erstat i stor skala","USE_CASE_FIND_REPLACE_DESC":"Erstat hundredvis af termer på tværs af dit datasæt med én enkelt instruktion. Perfekt til at standardisere kategorier, rette almindelige stavefejl eller opdatere produktoplysninger.","USE_CASE_FIND_REPLACE_LINK":"Lær mere om find & erstat i stor skala","USE_CASE_CLEANING_TITLE":"Avanceret datavask","USE_CASE_CLEANING_DESC":"Rens og normalisér komplekse data såsom virksomhedsnavne ved at fjerne juridiske endelser (LLC, Inc.) eller standardisere jobtitler og adresser.","USE_CASE_CLEANING_LINK":"Se hvordan du renser virksomhedsnavne","USE_CASE_SCORING_TITLE":"Tilpasset lead scoring og datascoring","USE_CASE_SCORING_DESC":"Opret sofistikerede scoringsmodeller baseret på flere kriterier fra dine data. Tildel point, rangér leads og prioritér dine lister uden én eneste formel.","USE_CASE_SCORING_LINK":"Lær at score leads med AI","USE_CASE_TRANSFORM_TITLE":"Kompleks datatransformation","USE_CASE_TRANSFORM_DESC":"Fra at udtrække specifikke dele af en tekst til at udføre betinget logik håndterer AI Editing transformationer, der næsten er umulige med standard regnearksfunktioner.","USE_CASE_TRANSFORM_LINK":"Se flere eksempler på datavask","VIDEO_TITLE":"Se AI Editing i aktion","LEAD_BUILDING_DESCRIPTION":"Det bedste værktøj til at analysere store leadlister i dybden. Organisér, berig og find de perfekte prospects.","VIDEO_TEXT":"Se hvordan du opdaterer katalogenheder med en simpel prompt. Ingen formler, intet bøvl.","TALK_TO_US_TEXT":"Klar til at stoppe med at spilde tid på manuelle regnearksopgaver? Prøv AI Editing og transformér dit data-workflow i dag!","CSV_EDITOR_DESCRIPTION":"En moderne CSV-editor til at håndtere dine CSV-filer online. Åbn og redigér dine data direkte i din browser","LEAD_LIST_BUILDING":"Byg, rens og berig dine leadlister","SEE_ALSO":"Se også"},"FeatCombine":{"PAGE_TITLE":"Konsolider og flet CSV-filer gratis","PAGE_DESC":"Sammenkæd dine CSV-datalister baseret på en fælles nøglekolonne.","FEATURE":"Funktion","NOSIGNUP":"Ingen tilmelding nødvendig","100%ONLINE":"100% online","EASY_TO_USE":"Nem at bruge","HERO_TITLE":"Konsolider og flet CSV-filer gratis","HERO_DESC":"Sammenkæd dine CSV-datalister baseret på en fælles nøglekolonne.","DATA_RECONCILIATION_DEF":"Hvad er dataafstemning?","DATA_RECONCILIATION_DEF_DESC_1":"Dataafstemning er processen med at sammenligne og afstemme data fra forskellige kilder. Denne proces sker typisk, når der findes flere kilder med relaterede oplysninger.","DATA_RECONCILIATION_DEF_DESC_2":"Disse kilder kan omfatte databaser, regneark, softwaresystemer eller endda manuelle registreringer. Målet er at afstemme dataene for at skabe ét pålideligt og konsistent datasæt.","DATA_RECONCILIATION_DEF_DESC_3":"Dataafstemning giver værdifuld indsigt til beslutningstagning, da den forbinder spredte data. Det bruges ofte i bogføring, lagerstyring, marketing m.m.","JOIN_TITLE":"Sammenkæd dine CSV-filer til én samling","JOIN_DESC_1":"Google Sheets eller Microsoft Excel er fine værktøjer til regnskabsopgaver, men mangler funktioner til datastyring. Andre specialiserede værktøjer findes til data scientists som ETL (Extract, Transform, Load), men de er ikke tilgængelige for ikke-tekniske personer.","JOIN_DESC_2":"I Datablist skal du blot angive den kolonne, der skal bruges til at konsolidere dine CSV-filer, og værktøjet klarer resten.","SEE_TUTO":"Se guide","TALK_TO_US_TEXT":"Prøv Datablist og se, hvor let listekonsolidering kan være. 18.000+ brugere oplever det allerede!","MERGE_TITLE":"Flet data fra flere kilder","MERGE_DESC_1":"I en digital verden er håndtering af lister en hyppig opgave. Uanset om du:","MERGE_EX_1":"At skabe et samlet overblik over dine kunder","MERGE_EX_2":"At oprette en liste over emner fra flere kilder","MERGE_EX_3":"At berige en mailingliste med kontaktoplysninger","MERGE_DESC_2":"Du får brug for et værktøj som Datablist til at flette og administrere dine data.","WHEN_COMBINE_DATA":"Hvornår bør du kombinere datafiler?","WHEN_COMBINE_TITLE_1":"Konsolider kundefiler","WHEN_COMBINE_DESC_1":"Konsolidering af kundefiler er afgørende for at skabe et samlet overblik over dine kunder. Når virksomheder interagerer med kunder på tværs af forskellige kontaktpunkter, såsom salg, marketing, kundesupport og onlineplatforme, bliver værdifulde data spredt i forskellige systemer og databaser. Sammenkæd dine kundedata ved hjælp af deres email-adresse eller en anden unik identifikator. Derefter har alle dine teams, såsom marketing, salg og kundeservice, adgang til dette samlede og fuldstændige overblik.","WHEN_COMBINE_TITLE_2":"Berig ordredata med produktkataloger","WHEN_COMBINE_DESC_2":"Inden for e-handel håndterer du to hovedlister: en liste over produkter og en liste over ordrer. Ordrelisten henviser til det købte produkt. Ved at konsolidere dine produktegenskaber med din ordreliste får du indsigt fra salget, såsom hvilke hovedkategorier der sælger. Du kan også konsolidere andre eksterne data såsom trafikstatistik fra dit website.","WHEN_COMBINE_TITLE_3":"Aggreger virksomhedsdata for at opbygge din emneliste","WHEN_COMBINE_DESC_3":"Når du bygger din emneliste, gælder: Jo mere data du har om virksomhederne, desto bedre kan du segmentere dine emner. Datakonsolidering er nyttig til at <doc>berige din emneliste</doc> med eksterne datakilder. Antal medarbejdere, seneste finansieringsrunde, omsætning og estimeret webtrafik. Med nøjagtige og opdaterede oplysninger om potentielle emner forbedrer du din scoring og reducerer den tid, der bruges på ikke-kvalificerede emner.","WHEN_COMBINE_LINK_3":"Lær mere om opbygning af emnelister","WHEN_COMBINE_TITLE_4":"Berig leads med marketingdata","WHEN_COMBINE_DESC_4":"Ved at bringe data sammen fra forskellige kilder, såsom website-analyse, sociale mediers nøgletal og kundeinteraktioner, får virksomheder et helhedsblik på deres målgruppe. En oplagt brug af datakonsolidering er at anvende resultater fra email-kampagner i din leads-liste. Fremhæv de leads, der åbner eller klikker på din email, og målret dem via andre kanaler som LinkedIn eller andre sociale netværk. Ved at berige leads med konsoliderede data forbedrer du dine konverteringer og undgår at bruge tid og penge på uinteresserede leads."},"FeatDuplicates":{"PAGE_TITLE":"Gratis værktøj til deduplikering","PAGE_DESC":"Deduplicer dine lister på én eller flere kolonner. No-Code konfiguration og nemt at bruge for ikke-tekniske brugere.","SEE_ALSO":"Se også","LEARN_MORE":"Lær mere","GET_STARTED":"Kom i gang!","FEATURE":"Funktion","NOSIGNUP":"Ingen tilmelding nødvendig","100%ONLINE":"100% online","EASY_TO_USE":"Nemt at bruge","NO_TECHNICAL_REQUIRED":"Ingen teknisk viden nødvendig","NOCODE_CONF":"No-Code konfiguration","EXPORT_CSV_TITLE":"Eksporter til CSV- eller Excel-filer","EXPORT_CSV_DESC_1":"Skal du overføre dine data til en anden applikation eller et regneark?","EXPORT_CSV_DESC_2":"<0>Dataene er altid dine</0>, eksporter blot udvalgte elementer eller hele din samling til en CSV-fil eller en Microsoft Excel-fil.","EXPORT_CSV_DESC_3":"Genererede CSV-filer er kompatible med Google Sheets og alle almindelige applikationer.","OK_GO":"Ok, lad os komme i gang!","RESOURCES":"Ressourcer","AI_TITLE":"AI-behandling af dubletter","AI_TEXT":"Generér nye data, redigér eksisterende information og byg systemer fra bunden med simple prompts.","CSV_EDITOR_DESCRIPTION":"En moderne CSV-editor til at håndtere dine CSV-filer online. Åbn og redigér dine data direkte i din browser","LEAD_BUILDING_DESCRIPTION":"Det bedste værktøj til at dykke ned i lead-lister i stor skala. Organisér, berig og find de perfekte prospects.","COMBINE_DESCRIPTION":"Kombinér listefiler fra flere kilder i én samling. Nemt at bruge og for ikke-tekniske brugere.","TALK_TO_US_TEXT":"Prøv Datablist og se, hvor let datamatchning og deduplikering af poster kan være. 18.000+ brugere oplever det allerede!","HERO_TITLE":"Gratis værktøj til at fjerne dubletter","DESCRIPTION":"Endelig et brugervenligt alternativ til Excel til deduplikering af data. Find, flet eller fjern dubletter i CSV- eller Excel-filer.","DEDUPLICATION_DEF_TITLE":"Hvad er deduplikering af data?","DEDUPLICATION_DEF_DESC_1":"Deduplikering af data, eller <doc>deduping</doc>, er processen med at fjerne dublerede poster fra et datasæt.","DEDUPLICATION_DEF_DESC_2":"Deduping er nødvendigt for at have en liste med unikke poster. I marketing med mailinglister, i lead generation eller kundehåndtering. Eller i e‑handel ved håndtering af produktkataloger. To poster er dubletter, når de refererer til den samme enhed. To leads med samme email-adresse, eller to produkter med samme stregkode.","DEDUPLICATION_DEF_DESC_3":"Dubletter påvirker kvaliteten af dine data og sænker din produktivitet. To løsninger findes for at slippe af med dubletter: slet dem, eller flet lignende poster til én.","DEDUPLICATION_DEF_DESC_4":"At slette dubletter er let; deduplikeringsalgoritmen finder dublerede poster og sletter alle undtagen én. At flette dubletter kræver, at man analyserer dublerede poster for at kombinere dem til én masterpost.","DUPLICATES_MODE_TITLE":"Fuld eller delvis analyse af poster i én eller flere datasamlinger","DUPLICATES_MODE_DESC_1":"Datablist Duplicates Finder virker enten med fuld post-sammenligning eller baseret på udvalgte felter.","DUPLICATES_MODE_DESC_2":"Brug Valgte felter-tilstand til at finde dubletkontakter baseret på deres email-adresse eller til at opdage dubletter i en liste over virksomheder via deres website‑URL.","DUPLICATES_MODE_DESC_3":"Datablist Duplicates Finder virker med én eller flere lister. På tværs af flere lister bruger deduplikeringsalgoritmen field mapping til at sammenligne poster på tværs af dine datasæt.","MERGE_TITLE":"Slet eller konsolider dubletter","DUPLICATES_PREVIEW_TITLE":"Forhåndsvisning af dubletter","DUPLICATES_PREVIEW_DESC_1":"Datablist viser de fundne dubletter, så du kan vælge, hvilken handling der skal udføres.","DUPLICATES_PREVIEW_DESC_2":"Åbn dubletposterne i detaljepanelet for at redigere og flette information. Eller slet blot dubletterne.","DUPLICATES_AUTO_MERGING_TITLE":"Flet automatisk ikke-konfliktende dubletter","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist finder automatisk alle dubletværdier, der kan flettes uden at miste information.","DUPLICATES_AUTO_MERGING_BULLET_1":"Når alle dubletposter har de samme feltværdier, beholdes kun én post og de andre slettes.","DUPLICATES_AUTO_MERGING_BULLET_2":"Hvis dubletposterne supplerer hinanden, vælges posten med mest information som primær, og dens feltværdier udfyldes ved hjælp af andre posters værdier. Derefter slettes alle poster undtagen den primære.","DUPLICATES_AUTO_MERGING_BULLET_3":"Hvis dubletposter har modstridende feltværdier, springes de over til manuel fletning.","MERGING_ASSISTANT_TITLE":"Eller gennemgå konfliktværdier manuelt med fletteassistenten","MERGING_ASSISTANT_DESC_1":"Når automatisk fletning ikke er mulig, kan du bruge Datablists fletteassistent til at vælge, hvilken værdi der skal bevares, og konsolidere dine poster.","MERGING_ASSISTANT_DESC_2":"Posten med mest information vælges som masterpost og modtager supplerende værdier fra sekundære poster.","DUPLICATES_DEDUPE_TITLE":"Brugervenligt DeDupe-værktøj","DUPLICATES_DEDUPE_DESC_0":"Nuværende deduplikeringsværktøjer er rettet mod tekniske brugere. De er svære at bruge med endeløse konfigurationsindstillinger.","DUPLICATES_DEDUPE_DESC_1":"Med Datablist bliver arbejdet med data nemt! Deduplikering af data er endelig tilgængelig for alle.","DUPLICATES_DEDUPE_DESC_2":"Deduplicer hundredtusindvis af poster direkte i din webbrowser.","DUPLICATES_AUTO_MERGE_TITLE":"Automatisk fletning under import","DUPLICATES_AUTO_MERGE_DESC_1":"Ud over Duplicates Finder kan du sætte en 'Unikke værdier'-indstilling på felter i din samling.","DUPLICATES_AUTO_MERGE_DESC_2":"Under dataimport, når en post fra den importerede fil findes i samlingen eller andre steder i filen, bliver dataene flettet eller slettet afhængigt af fletningstilstanden.","DATA_DEDUP_WHEN_TITLE":"Hvornår skal man bruge deduplikering af data?","DATA_DEDUP_WHEN_MAIL_TITLE":"Deduplikering af mailinglister","DATA_DEDUP_WHEN_MAIL_DESC_1":"Over tid vil flere kilder flyde ind i din mailingliste. Med webinar-deltagere, købere, freemium-brugere osv. kan en email-adresse optræde flere gange på din mailingliste.","DATA_DEDUP_WHEN_MAIL_DESC_2":"Dublette email-adresser påvirker dine marketingkampagner med ekstra omkostninger, spamagtig adfærd og risiko for brugerfrustration, hvis de fortsætter med at modtage emails efter afmelding fra en kampagne.","DATA_DEDUP_WHEN_MAIL_LINK":"Sådan rydder du op i en mailingliste","DATA_DEDUP_WHEN_EXCEL_TITLE":"Deduplikering i Microsoft Excel","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets, Microsoft Excel og andre regnearksværktøjer tilbyder basale deduplikeringsfunktioner. De fremhæver dubletværdier i en kolonne eller sletter dem. Brug Datablists automatiske fletning og den manuelle fletteassistent til at håndtere komplekse dubletposter.","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist åbner både CSV- og Excel-filer.","DATA_DEDUP_WHEN_EXCEL_LINK":"Sådan deduplikerer du en Excel-fil","DATA_DEDUP_WHEN_LEAD_TITLE":"Værktøj til deduplikering af leads og prospects","DATA_DEDUP_WHEN_LEAD_DESC_1":"I B2B marketing påvirker kvaliteten af din prospect-database resultaterne af dine kampagner. En rodet dataliste med <doc>duplicate leads</doc> øger lagringsomkostningerne, reducerer effektiviteten af lead-tracking og skaber frustration i dit salgsteam.","DATA_DEDUP_WHEN_LEAD_DESC_2":"Styr dine <doc>lead generation</doc>-processer med Datablist. Eller importér dine CRM-data eller lead-lister til Datablist for at rense dem.","DATA_DEDUP_WHEN_LEAD_LINK":"Sådan deduplikerer du lead-lister","DATA_DEDUP_WHEN_CSV_TITLE":"Dedupliker CSV-filer","DATA_DEDUP_WHEN_CSV_DESC_1":"Rensning af CSV-data er tidskrævende. Dataingeniører bruger programmeringssprog som Python til at parse og rense CSV-data. Datablist tilbyder et No-Code-værktøj til at udføre datarensningsprocesser med dine <a1>CSV-filer</a1> for ikke-tekniske brugere. <a2>Åbn CSV-filer med hundredtusindvis af rækker</a2> og dedupliker poster hurtigt.","DATA_DEDUP_WHEN_CSV_LINK":"Sådan deduplikerer du en CSV-fil","SEE_ALSO_CSV_EDITOR":"CSV-editor","SEE_ALSO_GUIDE_EXCEL":"Guide: Flet dubletrækker i en Excel-fil uden at miste data","SEE_ALSO_GUIDE":"Guide: Fjern CSV-dubletter","SEE_ALSO_GUIDE_LARGE_CSV":"Guide: Redigér store CSV-filer online","SEE_ALSO_COMBINE":"Kombinér CSV-filer","LEAD_LIST_BUILDING":"Byg, rens og berig dine lead-lister","FIND_DUPLICATE_ONLINE_TITLE":"Find og fjern dubletter online","FIND_DUPLICATE_ONLINE_DESC_1":"Find, flet og eliminér dubletter i dine data med det samme. Med en brugervenlig webgrænseflade får du problemfri adgang fra enhver enhed og undgår komplekse installationer.","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist bruger avancerede algoritmer til hurtigt at identificere dubletter, så du sparer tid og undgår fejl. Sig farvel til manuelle søgninger og goddag til et strømlinet workflow.","FUZZY_MATCHING_TITLE":"Deduplikering med fuzzy matching","FUZZY_MATCHING_ONLINE_DESC_1":"Fuzzy-deduplikeringsalgoritmer bestemmer afstanden mellem poster. Med en tærskel definerer du, hvornår to poster er ens. I modsætning til exact matching identificerer <0>fuzzy matching</0> intelligent variationer og håndterer slåfejl, forkortelser og små forskelle i dine poster.","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist implementerer <0>Levenshtein</0>- og <1>Jaro-Winkler</1>-afstandsalgoritmerne.","CONSOLIDATE_DUPES_TITLE":"Konsolider dubletter for at beholde én post","CONSOLIDATE_DUPES_DESC_1":"Når en simpel fletning ikke er nok, brug de avancerede funktioner: kombinér eller drop dubletværdier for at konsolidere dine dubletposter.","CONSOLIDATE_DUPES_DESC_2":"Datablist viser dine konfliktfelter og lader dig vælge, hvordan du vil håndtere dem. Brug Combine values til sammenkædning af data. Og Drop values for at beholde værdien fra én masterpost.","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"Brug Datablists AI Agent til at scrape enhver hjemmeside, automatisere Google-søgninger og udtrække strukturerede data med simple prompts. Ingen kode nødvendig.","FAQ_Q1":"Er Duplicates Finder gratis at bruge?","FAQ_A1":"Ja, du kan finde og flette dubletter online gratis. Basisfunktioner som exact og smart matching er tilgængelige uden en konto. For avancerede algoritmer som fuzzy eller fonetisk matching kræves en betalt plan.","FAQ_Q2":"Hvordan adskiller dette sig fra Excels 'Remove Duplicates'-funktion?","FAQ_A2":"Excel sletter permanent dubletrækker, hvilket kan få dig til at miste potentielt værdifulde data fra disse poster. Datablist fletter poster og kombinerer intelligent supplerende information fra alle dubletter til én komplet masterpost. Du mister ingen data.","FAQ_Q3":"Hvor stor en liste kan jeg deduplikere?","FAQ_A3":"Datablist er bygget til at håndtere store filer. Du kan behandle lister med op til 1 million rækker på gratisplanen og op til 1,5 millioner rækker på vores betalte planer, langt ud over begrænsningerne i traditionelle regnearksværktøjer.","FAQ_Q4":"Kan den finde dubletter med stavefejl eller små variationer?","FAQ_A4":"Absolut. Vores værktøj bruger avancerede fuzzy matching-algoritmer, såsom Levenshtein- og Jaro‑Winkler‑afstand, til at identificere lignende poster selv med misspellings, tastefejl eller små formateringsforskelle.","FAQ_Q5":"Hvordan håndterer den felter med flere værdier, som to emails i én celle?","FAQ_A5":"Det er den designet til. Du kan aktivere \"Multiple Value Matching\" for at behandle hver værdi i en celle (separeret med et semikolon) som en separat post til sammenligning. Den finder et match, selv hvis blot én af værdierne er en dublet.","FAQ_Q6":"Kan jeg finde dubletter på tværs af flere CSV- eller Excel-filer?","FAQ_A6":"Ja. Du kan importere flere filer til Datablist og køre Duplicates Finder på tværs af dem alle. Den kan matche poster baseret på en fælles identifikator, selvom filerne har forskellige kolonner eller strukturer.","FAQ_Q7":"Skal jeg kunne kode for at bruge det?","FAQ_A7":"Slet ikke. Datablist er en helt no-code løsning. Duplicates Finder guider dig gennem en enkel, trin-for-trin proces, hvor du vælger dine kolonner og matchregler fra en brugervenlig grænseflade.","FAQ_Q8":"Hvordan kan AI hjælpe med at flette dubletter?","FAQ_A8":"Vores AI Editing-funktion giver dig ubegrænset fleksibilitet. I stedet for standard fletningsregler kan du skrive instruktioner på almindeligt engelsk. For eksempel kan du bede den om at summere salgstal fra dubletposter eller vælge masterposten baseret på den seneste dato. Det omsætter kompleks logik til en simpel forespørgsel.","FAQ_Q9":"Hvad sker der med mine data, når jeg fletter dubletter?","FAQ_A9":"Datablist konsoliderer dine data i én masterpost. Den udfylder automatisk manglende information fra andre dubletter og giver dig muligheder for konflikter: du kan kombinere tekst fra forskellige rækker eller vælge, hvilken værdi der skal bevares. De redundante poster slettes derefter.","FAQ_Q10":"Hvilke matchalgoritmer er tilgængelige?","FAQ_A10":"Vi tilbyder flere algoritmer til forskellige behov: 'Exact' til identiske matches, 'Smart' til variationer som ordorden eller URL-protokoller, 'Phonetic' til navne, der lyder ens, og 'Fuzzy Matching' til tastefejl og stavefejl.","FAQ_Q11":"Kan jeg eksportere listen over dubletgrupper for at gennemgå dem før fletning?","FAQ_A11":"Ja. Når Datablist har identificeret alle dubletgrupperne, kan du eksportere dem til en CSV- eller Excel-fil før du foretager ændringer. Denne fil lister alle dubletposter fortløbende, med hver gruppe angivet efter hinanden, så de er nemme at gennemgå eksternt eller behandle med et andet værktøj.","FAQ_Q12":"Når jeg har flettet dubletter i Datablist, hvordan opdaterer jeg så mit CRM?","FAQ_A12":"Når du er færdig med at flette, giver Datablist en downloadbar 'Changes List'. Denne fil fungerer som en log, der beskriver hver post, der blev opdateret eller slettet under processen. Du kan bruge filen til nemt at replikere ændringerne i dit eksterne system, f.eks. et CRM, så dine data forbliver helt synkroniserede."},"CSVEditor":{"PAGE_TITLE":"Gratis online CSV Editor og Viewer","PAGE_DESC":"En moderne CSV Editor til at håndtere dine CSV-filer online. Åbn og rediger dine data direkte i din browser","HEADER_TITLE":"Online CSV Editor og Viewer","HEADER_DESC_1":"Udforsk og rediger dine CSV-filer med Leads, kunder eller produkter online.","NO_SIGNUP":"Ingen tilmelding nødvendig","ONLINE_100":"100% online","NO_CODE_CONFIG":"No-code-konfiguration","CSV_DEF_TITLE":"Hvad er en CSV-fil?","CSV_DEF_DESC_1":"CSV står for 'Comma Separated Value(s)' og er et format til at gemme strukturerede data i tekstfiler. I en CSV-fil er hver linje en datapost. Og hver post består af felter adskilt af kommaer (eller nogle gange af semikoloner ';' eller tabulator-tegn).","CSV_DEF_DESC_2":"CSV-filer er en almindelig måde at overføre data mellem applikationer. Fordi det bygger på tekstfiler, er CSV-formatet en enkel måde at eksportere data fra databaser eller regneark.","EDIT_TITLE":"Åbn CSV-filer online","EDIT_DESC_1":"Upload dine CSV-filer direkte i din webbrowser. Datablist CSV Editor registrerer automatisk CSV-kolonneafgrænseren.","EDIT_DESC_2":"Vælg de CSV-kolonner, der skal importeres, og definer datatyper: Text, LongText, Date, Number, Email address osv.","EDIT_DESC_3":"Når de er importeret, kan du bruge Datablist til at sortere på enhver egenskab og filtrere dine data med fuldtekstsøgning.","DATA_MANIP_TITLE":"Rens og konsolider dine CSV-filer","DATA_MANIP_DESC":"Stop med at bruge Excel eller Google Sheets til datamanipulation 😱!","WHY_USE_CSV_TITLE":"Hvorfor bruge Datablists CSV Editor?","WHY_USE_CSV_BLOC_TITLE_1":"Rens din mailingliste","WHY_USE_CSV_BLOC_DESC_1":"Email-lister er den perfekte måde at nå din brugerbase. Men med tiden bliver en liste rodet. Forbedr leveringsraten og spar penge med Datablist. Fjern dubletter og ugyldige email-adresser nemt.","WHY_USE_CSV_BLOC_TITLE_2":"Administrer dine produktkataloger","WHY_USE_CSV_BLOC_DESC_2":"Alle e-commerce-værktøjer tillader import/eksport af produktkataloger med CSV-filer. Uanset om det er at rense dit produktkatalog, før du sender det til Google Shopping, eller at konsolidere flere webshops i en enkelt collection, er Datablist skræddersyet til listings management.","WHY_USE_CSV_BLOC_TITLE_3":"Berig dine leads","WHY_USE_CSV_BLOC_DESC_3":"Har du en prospect-liste, du vil berige med email-adresser, jobtitler, LinkedIn-profil osv.? CRM-værktøjer er gode til at tracke og berige leads, når de har vist interesse. Men til prospect list building og scoring af et stort antal leads har de begrænsninger. Datablist er et perfekt tracking-værktøj til prospects.","WHY_USE_CSV_BLOC_TITLE_4":"Spor dine SEO-søgeord","WHY_USE_CSV_BLOC_DESC_4":"Bygger du en SEO-strategi? Brug Datablist til at gemme dine SEO-søgeord, liste dine konkurrenter, analysere månedligt søgevolumen og søgeordssværhedsgrad. Notér dine idéer til blogindlæg og hold øje med konkurrenters blogindlæg, der er værd at følge.","CSV_CLEANER_TITLE":"CSV Cleaner","CSV_CLEANER_DESCRIPTION":"CSV-filer kan være udsatte for fejl, inkonsistenser og formateringsproblemer, som gør dem svære at arbejde med og analysere. CSV-rensning er processen med at opdage og rette disse problemer i en CSV-fil, så dataene er nøjagtige, konsistente og korrekt formaterede.","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSV-deduplikering","CSV_CLEANER_TITLE_BLOC_DESC_1":"Data-deduplikering er en vigtig del af CSV-rensning. Med Datablist Duplicates Finder kan du sammenligne data baseret på alle tilgængelige kolonner eller selektivt vælge specifikke kolonner til sammenligning. Med sin avancerede algoritme kan værktøjet hurtigt scanne selv store datasæt og identificere dubletter på få sekunder. Ud over at identificere dublerede poster i dine CSV-filer tilbyder Datablist Duplicate Finder en kraftfuld fletningsfunktion. Den konsoliderer dublerede poster til én enkelt, korrekt post.","CSV_CLEANER_TITLE_BLOC_TITLE_3":"Konverter datatyper","CSV_CLEANER_TITLE_BLOC_DESC_3":"Konvertering af datatyper er en almindelig opgave i CSV-rensning. Det sikrer datanøjagtighed og konsistens ved at transformere dataværdier til standardiserede formater. Med konvertering af datatyper kan du ændre formatet på værdier i din CSV, så de matcher specifikke datatyper, såsom DateTime, Numbers eller Boolean. Konvertering af datatyper er vigtigt for at filtrere din CSV og transformere dine strengdata til standardiserede formater, der kan importeres i andre værktøjer.","CSV_CLEANER_TITLE_BLOC_TITLE_6":"Rens HTML-tags og fjern symboler","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablist leveres med et indbygget renseværktøj til at konvertere HTML-kode med tags til almindelig tekst. Andre renseværktøjer omfatter fjernelse af smileys og symboler fra tekster samt fjernelse af unødvendige mellemrum. Med alle disse renseværktøjer kan du forbedre læsbarheden og anvendeligheden af dine data. Ved at fjerne unødvendig støj og symboler bliver dine data mere klare og mere præcise.","CSV_CLEANER_TITLE_BLOC_TITLE_7":"Find og erstat","CSV_CLEANER_TITLE_BLOC_DESC_7":"Værktøjet 'Find og erstat' er perfekt til datarensningsopgaver. Søg efter specifikke værdier eller mønstre og erstat dem med de korrekte eller ønskede værdier. Dette hjælper med at rette stavefejl, formateringsinkonsistenser eller andre tastefejl, der kan forekomme i dine data. Brug det til standardisering af dine data. Søg efter forskellige variationer eller formater af en specifik værdi, og erstat dem med et standardiseret format.","CSV_MANIPULATION_TITLE":"Et kraftfuldt CSV-manipulationsværktøj","CSV_MANIPULATION_BLOC_TITLE_1":"Bulk Edit","CSV_MANIPULATION_BLOC_DESC_1":"Datablist Bulk Edit gør CSV-rensning enklere. Lav ændringer i flere poster på én gang. Anvend ændringer på hele collections, redigér filtrerede poster, eller bulk edit valgte poster. Det er et meget effektivt værktøj til at administrere og opdatere store datasæt. Med Datablist Bulk Edit kan du standardisere dine data. Anvend ensartet formatering og værdier på alle relevante poster.","CSV_MANIPULATION_BLOC_TITLE_2":"Skriv JavaScript-kode til datamanipulation","CSV_MANIPULATION_BLOC_DESC_2":"JavaScript er et kraftfuldt sprog, der kan bruges direkte i Datablist til at rense dine data. En af de vigtigste fordele ved at bruge JavaScript til CSV-rensning er fleksibiliteten. Regnearksværktøjer bruger formler, som kan være komplekse og langsomme. JavaScript kan bruges til at skrive custom scripts, der kan udføre et bredt spektrum af rensningsopgaver, fra simpel formatering og konvertering af datatyper til mere komplekse datatransformationer og analyser.","CSV_MANIPULATION_BLOC_TITLE_3":"Opdel og flet CSV-kolonner","CSV_MANIPULATION_BLOC_DESC_3":"Opdeling og fletning af CSV-kolonner er en nyttig teknik til CSV-rensning. Det hjælper dig med at omstrukturere og organisere dine data på en mere meningsfuld måde. Hvis du for eksempel har en enkelt kolonne, der indeholder flere dataværdier adskilt af en afgrænser, såsom et komma eller et semikolon, kan du opdele kolonnen i flere kolonner baseret på afgrænseren.","CSV_MANIPULATION_TITLE_4":"Sammenkør dine data fra flere CSV-filer","CSV_MANIPULATION_DESC_4":"Datasammenkøring er nemt med Datablist. Importer dine datakilder i flere collections. Vælg derefter fælles identifikatorer mellem listerne for at joine dem. Datablist har 'FULL OUTER JOIN' og 'LEFT OUTER JOIN' join-muligheder. Du kan konfigurere, hvordan modstridende data flettes. Spring over eller flet de importerede data.","CSV_ONLINE_EDITOR":"En online og samtidig kraftfuld CSV Editor","CSV_ONLINE_EDITOR_DESC_1":"Andre online CSV-editorer tilbyder simple funktioner til at åbne og se CSV-filer. Og for det meste er de proppet med annoncer. Datablist er en online CSV Editor, og alligevel bringer den kraftfulde funktioner til at åbne store CSV-filer uden at installere en app på din computer. Den udnytter din browsers muligheder til at lagre og behandle data.","CSV_ONLINE_EDITOR_DESC_2":"Du kan oprette en ny CSV-fil fra bunden, parse eksterne CSV-filer eller åbne Excel-filer. Når de er åbnet, kan du bruge det indbyggede filter- og sorteringsværktøj til at udforske dine data. Eller rense og redigere dine CSV-data. Og al datamanipulation er tilgængelig via en brugervenlig grænseflade direkte i din browser.","CROSS_OS_TITLE":"En CSV Editor til Windows, Mac OS og Linux","CROSS_OS_DESC_1":"Datablist CSV Editor er kompatibel med alle platforme og operativsystemer. Åbn dine CSV-filer online på Microsoft Windows, Mac OS og Linux","CROSS_OS_DESC_2":"Ved at udnytte kraften i moderne webbrowser-teknologier nedbryder vores app platformbarrierer. Dine data indlæses i en lokal database, der kører i din webbrowser. Med Cloud Synchronization holder Datablist dine data synkroniseret i skyen og på tværs af dine teammedlemmer.","PARSE_ONLINE_TITLE":"Parse og rediger CSV-filer online","PARSE_ONLINE_DESC_1":"Parse og rediger CSV-filer online uden besvær med vores intuitive app i lynhurtig hastighed. Parse, udtræk og organiser data fra dine CSV- (og Excel-)filer, alt sammen i en brugervenlig webbaseret grænseflade.","PARSE_ONLINE_DESC_2":"Sig farvel til komplekse installationer eller kompatibilitetsproblemer. Datablist sikrer problemfri CSV-parsing fra enhver enhed med internetforbindelse.","PARSE_ONLINE_DESC_3":"Datablist parser store CSV-filer på få sekunder, så du hurtigt kan begynde at udtrække værdifulde indsigter.","PARSE_ONLINE_DESC_4":"Rediger dine CSV-data direkte med Datablist, og eksporter til CSV- eller Microsoft Excel-format.","SEE_ALSO":"Se også","DATA_EDITOR":"Online Data Editor","DATA_EDITOR_DESC":"Kraftfuld online data editor til at administrere og manipulere forskellige dataformater ud over CSV-filer.","DUPLICATES_REMOVER":"Duplicates Remover","DUPLICATES_REMOVER_DESC":"Avanceret duplikatdetektering og -fjernelse med fuzzy matching og fletningsmuligheder.","COMBINE_CSV":"Kombinér CSV-filer","COMBINE_CSV_DESC":"Flet og konsolider flere CSV-filer ved hjælp af fælles identifikatorer og join-operationer.","EMAIL_CLEANING":"Rensning af email-lister","EMAIL_CLEANING_DESC":"Rens og valider email-lister for at forbedre leveringsraten og reducere bounce rate.","WHY_USE_CSV_BLOC_LINK_1":"Sådan renser du en email-liste","PROSPECT_LIST_BUILDING":"Prospect list building","GUIDE_DATA_CLEANING":"Se vores guide til datarensning","INVENTORY_MANAGEMENT_LINK":"Administrer din online-butiks lager og leverandørfeeds","DUPLICATES_FINDER_LINK":"Find og flet dubletter","AI_EDITING_LINK":"Opret scripts til datatransformation med AI"},"DataEditor":{"PAGE_TITLE":"Online dataeditor ","PAGE_DESC":"Kraftfuld online dataeditor til at håndtere CSV, Excel og strukturerede data. Rens, redigér og transformér dine data med avancerede værktøjer og et no-code interface.","HEADER_TITLE":"Online dataeditor","HEADER_DESC_1":"Administrér dine data med en kraftfuld online editor, der kombinerer regnearkets enkelhed med databasens muligheder.","HEADER_DESC_2":"Importér CSV- og Excel-filer, rens dine data, og eksporter resultaterne – alt sammen direkte i din browser.","NO_SIGNUP":"Ingen tilmelding nødvendig","ONLINE_100":"100% online","EASY_TO_USE":"Nem at bruge","WHAT_IS_TITLE":"Hvad gør Datablist anderledes?","WHAT_IS_DESC":"Regnearksværktøjer er begrænsede, når man arbejder med datalister. I modsætning til databaser har de ingen datastruktur eller begrænsninger. Datablist bringer databasefunktioner ind, mens brugervenligheden fra regneark bevares. Perfekt til datarensning, lead management og arbejde med strukturerede data.","EDIT_TITLE":"Importér og redigér dine datafiler","EDIT_DESC_1":"Upload CSV- og Excel-filer direkte i din browser. Datablist registrerer automatisk kolonnertyper og datastruktur.","EDIT_DESC_2":"Definér datatyper for hver kolonne: tekst, email, tal, dato, URL og mere.","EDIT_DESC_3":"Sortér, filtrér og søg i dine data med kraftfulde værktøjer designet til store datasæt.","EDIT_DESC_4":"Al behandling sker lokalt i din browser for maksimal hastighed og privatliv.","DATA_MANIP_TITLE":"Avanceret datamanipulation","DATA_MANIP_DESC":"Gå ud over grundlæggende regnearksoperationer med kraftfulde værktøjer til datarensning og konsolidering.","DATA_MANIP_BLOC_DUPLICATES_TITLE":"Find og flet dubletter","DATA_MANIP_BLOC_DUPLICATES_DESC":"Avanceret detektion af dubletter med fuzzy matching, fonetiske algoritmer og smart sammenfletning uden datatab.","DATA_MANIP_BLOC_CONSO_TITLE":"Kombinér flere filer","DATA_MANIP_BLOC_CONSO_DESC":"Flet CSV-filer ved hjælp af fælles id'er med JOIN-operationer som i databaser.","DUPLICATES_LINK":"Lær om fjernelse af dubletter","COMBINE_LINK":"Guide: Kombinér CSV-filer","NOCODE_TITLE":"No-code dataoperationer","NOCODE_DESC_1":"Udfør komplekse dataoperationer uden at skrive kode. Brug intuitive interfaces til datarensning, transformation og berigelse.","NOCODE_DESC_2":"Indbyggede værktøjer til bulk editing, find & replace, konvertering af datatyper og mere.","PRODUCTIVITY_TITLE":"Boost din produktivitet","PRODUCTIVITY_DESC":"Arbejd hurtigere med tastaturgenveje, bulk-operationer og strømlinede workflows designet til dataprofessionelle.","PRODUCTIVITY_BULLET_1":"Kopiér og indsæt fra ethvert regnearksværktøj","PRODUCTIVITY_BULLET_2":"Tastaturgenveje til power users","PRODUCTIVITY_BULLET_3":"Bulk-redigér flere elementer på én gang","PRODUCTIVITY_BULLET_4":"Fortryd/gendan for sikre dataoperationer","FEATURES_TITLE":"Database-drevne funktioner","DATABASE_FEATURES_TITLE":"Datastruktur og begrænsninger","DATABASE_FEATURES_DESC":"Definér datatyper, unikke constraints og valideringsregler. Sikr datakvalitet med indbygget validering.","EDITING_FEATURES_TITLE":"Avancerede redigeringsværktøjer","EDITING_FEATURES_DESC":"Bulk edit, find & replace med regex, konvertering af datatyper og JavaScript-scripting til komplekse transformationer.","SEARCH_FEATURES_TITLE":"Kraftfuld søgning","SEARCH_FEATURES_DESC":"Fuldtekstsøgning på tværs af alle kolonner med øjeblikkelige resultater – selv på store datasæt.","FILTER_FEATURES_TITLE":"Avanceret filtrering","FILTER_FEATURES_DESC":"Opret komplekse filterbetingelser med AND/OR-logik, gem filtre, og arbejd med filtrerede delmængder.","CLEANING_TITLE":"Værktøjskasse til datarensning","BULK_EDIT_TITLE":"Bulk edit-operationer","BULK_EDIT_DESC":"Redigér flere elementer på én gang med bulk-operationer: ændr store/små bogstaver, tilføj præfikser/suffikser, fjern symboler, konvertér HTML til tekst og meget mere.","BULK_EDIT_LINK":"Bulk edit-dokumentation","DATA_TYPES_TITLE":"Konvertering af datatyper","DATA_TYPES_DESC":"Konvertér tekst til tal, datoer, afkrydsningsfelter. Parse Unix-tidsstempler, normaliser talformater, og sikr datakonsistens.","DATA_TYPES_LINK":"Guide: Datakonvertering","JAVASCRIPT_TITLE":"JavaScript-scripting","JAVASCRIPT_DESC":"Skriv tilpasset JavaScript-kode til komplekse datatransformationer. Kald eksterne API'er og skab tilpassede workflows.","JAVASCRIPT_LINK":"JavaScript-dokumentation","FIND_REPLACE_TITLE":"Find & Replace","FIND_REPLACE_DESC":"Avanceret find og replace med regulære udtryk, mulighed for skelnen mellem store/små bogstaver og match på hele ord.","FIND_REPLACE_LINK":"Guide: Find & Replace","EXPORT_TITLE":"Eksportér dine rensede data","EXPORT_DESC":"Eksportér til CSV- eller Excel-format med dine foretrukne skilletegn og encoding. Perfekt til import i andre værktøjer eller deling med dit team.","SEE_ALSO":"Relaterede værktøjer","CSV_EDITOR":"CSV Editor","CSV_EDITOR_DESC":"Specialiseret CSV-editor med avancerede funktioner til filer med kommaseparerede værdier.","DUPLICATES_REMOVER":"Dubletfjerner","DUPLICATES_REMOVER_DESC":"Avanceret detektion og fjernelse af dubletter med fuzzy matching-algoritmer.","COMBINE_CSV":"Kombinér CSV-filer","COMBINE_CSV_DESC":"Flet flere CSV-filer med JOIN-operationer i database-stil.","ENRICHMENTS":"Databerigelser","ENRICHMENTS_DESC":"Berig dine data med eksterne API'er til virksomhedsoplysninger, email-validering og mere."},"ToolsCommon":{"HOME":"Hjem","BREADCRUMB_NAV":"Brødkrummenavigation","BREADCRUMB_TITLE":"Værktøjer","OPEN_TOOL":"Åbn værktøj","OTHER_TOOLS_TITLE":"Andre værktøjer","RELATED_TOOLS_TITLE":"Relaterede værktøjer","UI":{"BROWSE":"Gennemse","CLEAR":"Ryd","COPIED":"Kopieret","COPY_CSV":"Kopiér CSV","DOWNLOAD_CSV":"Download CSV","INPUT":"Input","OUTPUT_PREVIEW":"Forhåndsvisning af output","PREVIEW":"Forhåndsvisning","REPLACE":"Erstat","SETTINGS":"Indstillinger","SPLIT_MODE":"Split-tilstand","UPLOAD_CSV_FILE":"Upload en CSV-fil","UPLOAD_JSON_FILE":"Upload en JSON-fil"},"TOOLS":{"JSON_TO_CSV":{"NAME":"JSON til CSV-konverter","DESCRIPTION":"Konvertér nested JSON, API-svar, blandede arrays og object-tunge payloads til en ren CSV med registrering af row nodes, selektiv flattening og avancerede parsing-kontroller."},"CSV_DIFF":{"NAME":"CSV Diff Tool","DESCRIPTION":"Sammenlign to CSV-filer online, match rækker efter id eller email, registrér tilføjede, fjernede, ændrede og uændrede rækker, og download en struktureret diff-CSV."},"CSV_ROWS_SPLITTER":{"NAME":"CSV Rows Splitter","DESCRIPTION":"Opdel celler med flere værdier i separate rækker. Upload en CSV, vælg kolonnen og separatoren, og udvid tags, emails eller telefonnumre til én værdi pr. række."},"CSV_SPLITTER":{"NAME":"CSV Splitter","DESCRIPTION":"Opdel en CSV efter rækker, filstørrelse, kolonneværdier, regler eller datointervaller. Forhåndsvis outputtet, behold kun de kolonner, du har brug for, og download resultatet som CSV eller ZIP."}},"ENRICHMENT_WAIT":{"PHASES":{"VALIDATING":"Tjekker dine input…","PREPARING":"Forbereder din anmodning…","STARTING":"Starter din opgave…","PROCESSING":"Behandler dine data…","CONTINUING":"Vi arbejder stadig. Resultaterne vises automatisk her."},"REASSURANCE":"Hold denne fane åben for at se resultaterne, så snart de er klar. Hvis du forlader siden, kan du vende tilbage i denne browser inden for 24 timer.","PROGRESS_LABEL":"Behandler din anmodning","RUNNING_TITLE":"Behandler · Datablist","READY_TITLE":"Resultaterne er klar · Datablist","ATTENTION_TITLE":"Opgaven kræver din opmærksomhed · Datablist","SAMPLE":{"REASSURANCE":"Denne prøvekørsel bruger ingen credits.","PROGRESS_LABEL":"Forbereder prøveresultater","RUNNING_TITLE":"Indlæser prøveresultater · Datablist","READY_TITLE":"Prøveresultaterne er klar · Datablist"}},"ENRICHMENT_OPTIONS":{"LOADING":"Indlæser valgmuligheder…","LOAD_FAILED":"Valgmulighederne kunne ikke indlæses. Genindlæs siden for at prøve igen.","UNAVAILABLE":"Ekstra valgmuligheder er ikke tilgængelige i øjeblikket. Dette værktøj bruger standardindstillingerne."}},"ToolsPage":{"PAGE_TITLE":"Datablist Tools","PAGE_DESC":"Udforsk Datablist-værktøjer til JSON, CSV og workflows med rodet data, herunder CSV diff og avanceret konvertering fra JSON til CSV til store og rodede eksporter.","CATEGORY":"Datablist Tools","HEADER_TITLE":"Smukke værktøjer til grimme data","HEADER_DESC":"Et voksende udvalg af fokuserede værktøjer til JSON, CSV og rodet data fra den virkelige verden. Hvert værktøj er designet som et produkt, ikke som en hurtig engangsformular.","ITEMLIST_NAME":"Datablist Tools","ITEMLIST_DESC":"En samling af Datablist-værktøjer til JSON, CSV og workflows til datakonvertering.","LISTING":{"FILES":{"TITLE":"Rens og transformér filer","CARDS":{"JSON_TO_CSV":{"DESCRIPTION":"Konvertér indlejret JSON eller API-svar til en ren CSV-fil."},"CSV_DIFF":{"DESCRIPTION":"Sammenlign to CSV-filer, og eksportér tilføjede, fjernede eller ændrede rækker."},"CSV_ROWS_SPLITTER":{"DESCRIPTION":"Opdel CSV-celler med flere værdier, så hver værdi får sin egen række."},"CSV_SPLITTER":{"DESCRIPTION":"Opdel en CSV-fil efter rækker, størrelse, værdier, regler eller datointervaller."}}},"LEADS":{"TITLE":"Find og klargør leads","CARDS":{"DOMAIN_FINDER":{"TITLE":"Finder til virksomhedsdomæner","DESCRIPTION":"Find webdomæner ud fra en liste over virksomhedsnavne."},"SALES_NAVIGATOR_SCRAPER":{"TITLE":"Sales Navigator Scraper","DESCRIPTION":"Se en forhåndsvisning af leads fra en søge-URL til Sales Navigator eller LinkedIn."},"EMAIL_FINDER":{"TITLE":"Email finder til arbejdsadresser","DESCRIPTION":"Find en arbejds-email ved hjælp af et navn og en virksomhed eller en LinkedIn-profil."},"COMPANY_NAME_CLEANER":{"TITLE":"Oprydning af virksomhedsnavne","DESCRIPTION":"Fjern juridiske selskabsbetegnelser, ret brugen af store og små bogstaver, og markér dubletter."},"INSTAGRAM_FOLLOWER_SCRAPER":{"TITLE":"Instagram Follower Scraper","DESCRIPTION":"Se et udvalg af følgere fra URL'en eller brugernavnet til en Instagram-profil."},"LINKEDIN_PROFILE_SCRAPER":{"TITLE":"Gratis LinkedIn Profile Scraper","DESCRIPTION":"Gratis online scraper til LinkedIn-profiler. Indsæt en vilkårlig profil-URL, og udtræk gratis op til 40 offentlige datapunkter. Kræver hverken login, cookies eller sessions-id."}}}},"KEYWORDS":["datablist tools","json tools","csv tools","json to csv tools","csv diff tool","csv splitter tool","data conversion tools"]},"ToolsJsonToCsv":{"PAGE_TITLE":"JSON til CSV-konverter","PAGE_DESC":"Gratis online JSON til CSV-konverter til nested JSON, store filer, API-svar og komplekse eksporter. Vælg row nodes, flatten objekter, forhåndsvis resultatet, og download CSV direkte i din browser.","SCHEMA_NAME":"Datablist JSON til CSV-konverter","SCHEMA_DESC":"Gratis online JSON til CSV-konverter til nested data, store filer, registrering af row nodes, flatten-kontroller og behandling direkte i browseren.","TOOL":{"EMPTY_SOURCE_LABEL":"Indsæt JSON eller upload en fil","ERROR_MISSING_SOURCE":"Indsæt først en JSON-payload eller upload en JSON-fil.","NO_PREVIEW_DESC":"Upload en JSON-fil eller indsæt JSON for at generere en CSV-preview.","NO_PREVIEW_TITLE":"Ingen preview endnu","OVERLAY_DESC":"Filen bliver behandlet lokalt og vist som preview med det samme.","OVERLAY_TITLE":"Slip din JSON-fil her","PASTE_LABEL":"Indsæt JSON","PASTED_LABEL":"Indsat JSON","STATUS_COLUMNS_REFRESHED":"Kolonner opdateret","STATUS_FAILED":"Konvertering mislykkedes","STATUS_PARSING":"Parser JSON","STATUS_PREVIEW_READY":"Preview klar","STATUS_PREVIEW_UPDATED":"Preview opdateret","STATUS_REFRESHING_COLUMNS":"Opdaterer fundne kolonner","STATUS_UPDATING_PREVIEW":"Opdaterer CSV-preview","STATUS_WAITING":"Venter på input","SUBMIT_LABEL":"Konvertér JSON","UI":{"CHAR_COUNT":"{count} tegn","JSON_PARSING":"JSON-parsing","PARSING_SIMPLE_DESC":"Standardparsingen fungerer til denne JSON. Åbn kun, hvis du vil tilpasse den.","PARSING_COMPLEX_DESC":"Der er registreret kompleks JSON. Gennemgå registreringen af rækker og kolonner før eksport.","ROW_NODES":"Rækkenoder","NODE_OPTION":"{path} · {count} rækker","RECOMMENDED_SUFFIX":" · anbefalet","ROW_NODES_HELP":"Hvis det forkerte array er valgt, kan du skifte det her, før du redigerer kolonnerne.","FLATTEN_OBJECTS":"Udvid indlejrede objekter","FLATTEN_OBJECTS_DESC":"Gør `data.name` til en separat CSV-kolonne.","OBJECTS_TO_FLATTEN":"Objekter, der skal udvides","OBJECTS_TO_FLATTEN_DESC":"Vælg, hvilke indlejrede objekter der skal udvides til separate kolonner.","ARRAY_HANDLING":"Håndtering af arrays","ARRAY_HANDLING_DESC":"Vælg, hvordan arrayværdier skal skrives i CSV-filen.","ARRAY_SEPARATOR":"Arrayseparator","ARRAY_FIELDS":"Konfigurer hvert arrayfelt","ARRAY_FIELDS_DESC":"Vælg, hvordan hver registreret arraykolonne skal eksporteres.","ARRAY_JOIN":"Sammenkæd elementer","ARRAY_JSON":"Konvertér til JSON-streng","ARRAY_CASE_BY_CASE":"Fra felt til felt","ARRAY_KEEP_FIRST":"Behold det første","DETECTED_COLUMNS":"Registrerede kolonner","DETECTED_COLUMNS_DESC":"Gennemgå JSON-stien, omdøb kolonneoverskrifter, eller udelad kolonner før eksport.","COLUMN_COUNT":"{visible} synlige / {total} i alt","CSV":"CSV","CSV_DESC":"Bestem, hvordan den eksporterede CSV-fil formateres.","CSV_SEPARATOR":"CSV-separator","CSV_SEPARATOR_DESC":"Vælg det skilletegn, der bruges mellem kolonner.","SEPARATOR_COMMA":"Komma (,)","SEPARATOR_PIPE":"Pipe (|)","SEPARATOR_SEMICOLON":"Semikolon (;)","SEPARATOR_TAB":"Tabulator (\\t)","CUSTOM":"Brugerdefineret","ENTER_SEPARATOR":"Indtast separator","QUOTE_TYPE":"Anførselstegnstype","QUOTE_TYPE_DESC":"Vælg, hvordan felter omsluttes, når de skal escapes.","DOUBLE_QUOTE":"Dobbelte anførselstegn (\")","SINGLE_QUOTE":"Enkelt anførselstegn (')","INCLUDE_HEADER":"Medtag kolonneoverskrifter","INCLUDE_HEADER_DESC":"Skriv kolonnenavnene i den første CSV-række.","DATE_FORMAT":"Format for datovisning","DATE_FORMAT_DESC":"Omformatér registrerede ISO-lignende datoer før eksport.","DATE_KEEP_ORIGINAL":"Behold originalen","DATE_ISO":"ISO-dato (yyyy-MM-dd)","DATE_EUROPEAN":"Europæisk (dd/MM/yyyy)","DATE_US":"Amerikansk (MM/dd/yyyy)","DATE_TIME":"Dato og klokkeslæt (yyyy-MM-dd HH:mm:ss)","DATE_READABLE":"Læsbar (MMM d, yyyy)","OUTPUT":"Output","COPY_CSV":"Kopiér CSV","COPIED":"Kopieret","COPY_FAILED":"Kopiering mislykkedes","DOWNLOAD_CSV":"Download CSV","TABLE_VIEW":"Tabelvisning","RAW_CSV":"Rå CSV","EMPTY_PREVIEW":"Upload JSON, eller indsæt det til venstre. Forhåndsvisningen vises her med den registrerede rækkekilde og de anvendte regler for udvidelse.","PREVIEW_LIMIT":"Forhåndsvis op til 100 rækker. Download for at få hele CSV-filen.","ROWS":"Rækker","COLUMNS":"Kolonner","ERRORS":"Fejl"}},"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":"Indsæt din JSON. Få en ren CSV på få sekunder.","SEO_HERO_DESC":"En gratis online JSON til CSV-konverter til filer, som normalt får enklere værktøjer til at bryde sammen: nested objekter, blandede arrays og store payloads. Dine data bliver på din egen maskine.","INTRO_TITLE":"Nested JSON til CSV-konverter til API-svar og komplekse eksporter","INTRO_PARAGRAPHS":["De fleste værktøjer fejler, medmindre din JSON starter med et fladt array. Men data fra den virkelige verden kommer rodet. API-svar, webhook-payloads, CRM-eksporter og scraped filer indeholder nested objekter, metadata og blandede strukturer. Vi har bygget dette værktøj til at håndtere dem.","Vælg dine row nodes, vælg hvilke objekter der skal flattenes, og angiv regler for arrays. Forhåndsvis og download derefter din CSV. Hvis du leder efter den bedste JSON til CSV-konverter til data fra den virkelige verden, er det præcis det, vi har bygget denne til."],"EXAMPLES":{"API":{"TITLE":"Eksempel: Konvertér et nested API-svar til CSV","DESCRIPTION":"Ofte fungerer JSON-roden som et objekt, og dine rækker gemmer sig i et nested array som `results` eller `data`. Hvor simple konvertere fejler, registrerer vores arrayet, flattener strukturen og eksporterer en ren CSV.","JSON_LABEL":"Nested JSON-input","CSV_LABEL":"CSV-output"},"CONTACTS":{"TITLE":"Eksempel: Udtræk et nested contacts-array","DESCRIPTION":"Nogle payloads indeholder flere arrays. Du vil måske have parent-records eller et dybere array som contacts. Brug row node-vælgeren til at målrette det præcise array, du har brug for, og eksportér netop de rækker.","JSON_LABEL":"JSON med flere arrays","CSV_LABEL":"CSV-output til contacts"}},"PARSING_SETTINGS":{"TITLE":"Indstillinger for JSON-parsing","ITEMS":[{"TITLE":"Row nodes","BODY":"Vælg det array, der skal danne dine CSV-rækker. Brugbare data ligger sjældent i roden. Hvis din JSON indeholder flere arrays, kan du bruge denne kontrol til at vælge det rigtige."},{"TITLE":"Flatten nested objects","BODY":"Udvid objekter som `company` eller `metrics` til individuelle kolonner. Vælg specifikke objekter, der skal flattenes, så din CSV forbliver organiseret og du undgår dublerede felter."},{"TITLE":"Array handling","BODY":"Saml arrays med en separator, formatér dem som JSON-strenge, eller brug tilpassede regler. Du kan holde tags samlet, lade komplekse arrays stå som JSON eller kun udtrække det første element fra en liste."},{"TITLE":"Case-by-case array rules","BODY":"Anvend specifikke regler på forskellige arrays. Sæt én regel for tags og en anden for contacts. Standardkonvertere behandler alle arrays ens, men her får du præcis kontrol over dit endelige output."}]},"OUTPUT_SETTINGS":{"TITLE":"Indstillinger for CSV-output","ITEMS":[{"TITLE":"Separator","BODY":"Eksportér med komma, semikolon, pipe, tabulator eller en tilpasset separator. Match præcis det skilletegn, dit målsystem kræver."},{"TITLE":"Include header row","BODY":"Vælg om din CSV skal indeholde kolonnenavne i første række. Fjern headers for at eksportere rå datarækker til en anden pipeline."},{"TITLE":"Date output format","BODY":"Omformatér datoer før du eksporterer. Generér en CSV, der er klar til regneark eller BI-værktøjer uden manuelle rettelser."},{"TITLE":"Preview before download","BODY":"Kontrollér dit valg af rækker, flattende kolonner og array-regler i previewet, før du downloader filen."}]},"ROW_NODES":{"TITLE":"Sådan vælger du de rigtige row nodes","PARAGRAPHS":["Valg af det korrekte array sikrer en præcis konvertering. JSON-filer indeholder ofte wrapper-objekter, metadata og nested arrays. Simple konvertere vælger det første array, de finder, og returnerer derfor ofte forkerte data.","Brug indstillingen Row nodes til at vælge dit target-array. Hvis du vil have én række pr. virksomhed, vælger du parent-recorden. Hvis du vil have én række pr. contact, vælger du child-arrayet.","Denne funktion udtrækker forretningsdata fra rodede API-payloads, CRM-eksporter og webhook-logs."]},"LARGE_FILES":{"TITLE":"Konvertér store JSON-filer til CSV","PARAGRAPHS":["Har du brug for at konvertere en stor JSON til CSV, eller arbejde med en stor JSON-fil, som andre værktøjer ikke kan håndtere? Denne side er bygget med netop det use case i tankerne.","Du kan arbejde med store payloads, stadig inspicere et preview af den genererede CSV og derefter downloade den fulde eksport. Previewet hjælper dig med at bekræfte row nodes, flattende kolonner og array-regler, før du går videre med den endelige fil.","Hvis du har søgt efter “convert large JSON to CSV”, “JSON to CSV large file” eller “convert big JSON file to CSV”, er det præcis den type workflow, dette værktøj er designet til at håndtere."]},"PRIVACY":{"TITLE":"JSON til CSV online, uden at sende dine data væk","PARAGRAPHS":["Dette er en online JSON til CSV-konverter, men din fil uploades ikke til en ekstern server for parsing. Behandlingen sker lokalt i din browser.","Det er vigtigt, når du arbejder med kundedata, CRM-data, API-svar, interne logs eller andet, som du helst ikke vil sende videre bare for at konvertere det.","Kort sagt: det er hurtigt, det er praktisk, og det holder dine data mere sikre, fordi konverteringen bliver på din egen maskine."]},"USE_CASES_TITLE":"Hvornår du skal bruge dette værktøj","USE_CASES":[{"TITLE":"Konvertér JSON API-svar til CSV","BODY":"Eksportér data fra API'er, hvor records ligger i nested felter sammen med metadata."},{"TITLE":"Konvertér nested JSON til flade CSV-kolonner","BODY":"Gør nested virksomhedsdetaljer, adresseblokke og omsætningsdata til rene kolonner i regneark."},{"TITLE":"Udtræk nested arrays fra JSON","BODY":"Målret og eksportér dybere arrays som contacts, line items eller events ved hjælp af row node-vælgeren."},{"TITLE":"Konvertér CRM- eller webhook-JSON-eksporter til CSV","BODY":"Klargør HubSpot-eksporter, interne API-payloads og webhook-logs til Excel eller BI-værktøjer."},{"TITLE":"Håndtér arrays forskelligt i den samme JSON-fil","BODY":"Saml simple tags, behold det første element i en liste, eller stringify komplekse strukturer i den samme fil."},{"TITLE":"Klargør CSV til Excel, Sheets eller importer","BODY":"Juster separatorer, slå headers til eller fra, og formatér datoer, så din CSV matcher dit destinationssystem."},{"TITLE":"Konvertér store JSON-filer uden at miste overblikket","BODY":"Arbejd med store JSON-filer, behold et live preview af outputtet, og download den fulde CSV, når strukturen ser rigtig ud."},{"TITLE":"Brug en gratis online JSON til CSV-konverter","BODY":"Åbn siden, indsæt eller upload din JSON, gennemgå resultatet, og download CSV'en gratis uden at installere noget."}],"FAQ_TITLE":"FAQ: konvertering af kompleks JSON til CSV","FAQ_ITEMS":[{"QUESTION":"Er dette en gratis JSON til CSV-konverter?","ANSWER":"Ja. Denne JSON til CSV-konverter er gratis at bruge."},{"QUESTION":"Kan jeg konvertere en nested JSON-fil til CSV?","ANSWER":"Ja. Vælg de korrekte row nodes, vælg objekter der skal flattenes, og eksportér dine data."},{"QUESTION":"Kan jeg konvertere et JSON API-svar til CSV, når rækkerne ligger i et nested array?","ANSWER":"Ja. Vælg det nested array, ofte kaldet `results`, `items` eller `data`, og værktøjet bygger din CSV ud fra de records."},{"QUESTION":"Hvad gør indstillingen Row nodes?","ANSWER":"Den bestemmer, hvilket array der danner dine CSV-rækker. Brug den til at omgå root-objekter og målrette præcis de data, du har brug for."},{"QUESTION":"Kan jeg konvertere en stor JSON-fil til CSV?","ANSWER":"Ja. Værktøjet er bygget til at håndtere store payloads og samtidig give dig et preview af den genererede CSV, før du downloader den fulde fil."},{"QUESTION":"Kan jeg vælge, hvilke objekter der skal flattenes?","ANSWER":"Ja. Vælg specifikke objektstier, der skal udvides til kolonner. Objekter, der ikke er valgt, forbliver som JSON-strenge, så din eksport forbliver ren."},{"QUESTION":"Er denne JSON til CSV-konverter online og sikker?","ANSWER":"Ja. Den kører online i din browser, men parsing og konvertering sker lokalt på din maskine i stedet for at blive sendt til en server."},{"QUESTION":"Kan jeg anvende forskellige regler på forskellige arrays?","ANSWER":"Ja. Brug case-by-case mode til at samle, stringify eller reducere arrays pr. felt."},{"QUESTION":"Hvad gør denne til en af de bedste JSON til CSV-konvertere?","ANSWER":"Den er bygget til de rodede cases, som folk faktisk kæmper med: nested JSON, flere mulige arrays, selektiv flattening, regler pr. array, store filer, live preview og lokal behandling for bedre privatliv."}],"OTHER_TOOLS_DESC":"Har du brug for et andet værktøj efter at have konverteret JSON? Disse værktøjer dækker relaterede data-workflows som struktureret sammenligning og diff-visninger, der er nemme at auditere."},"ToolsCsvDiff":{"PAGE_TITLE":"CSV Diff Tool","PAGE_DESC":"Gratis online CSV diff-værktøj til at sammenligne to CSV-filer, finde tilføjede, fjernede og ændrede rækker, få vist forskelle på celleniveau, vælge join- og key column-indstillinger og downloade resultatet direkte i din browser.","SCHEMA_NAME":"Datablist CSV Diff Tool","SCHEMA_DESC":"Gratis online CSV-sammenligningsværktøj til tilføjede, fjernede, ændrede og uændrede rækker med behandling i browseren og CSV diff-output, der kan downloades.","TOOL":{"ERROR_MISSING_SOURCE":"Upload begge CSV-filer for at sammenligne dem.","FILE_EMPTY_HELP":"Upload eller slip en fil","FILE_EMPTY_NAME":"Vælg en CSV-fil","FILE_LOADED":"Indlæst","HELP_TEXT":"Upload to CSV-filer, vælg hvordan rækker skal matches, og få derefter vist diffen her. Alt kører lokalt i din browser.","ORIGINAL_FILE_DESC":"Den tidligere eksport, snapshot eller baseline-fil.","ORIGINAL_FILE_TITLE":"Original CSV","OVERLAY_DESC":"Slip først den originale fil, derefter den opdaterede.","OVERLAY_TITLE":"Slip dine CSV-filer her","STATUS_COMPARISON_FAILED":"Sammenligning mislykkedes","STATUS_FILES_READY":"Filer indlæst. Klar til sammenligning.","STATUS_PREVIEW_READY":"Preview klar","STATUS_WAITING":"Upload to CSV-filer for at få vist diffen.","SUBMIT_LABEL":"Sammenlign CSV-filer","UPDATED_FILE_DESC":"Den nyere eksport, du vil sammenligne med originalen.","UPDATED_FILE_TITLE":"Opdateret CSV","UI":{"COLUMNS_MAPPING":"Kolonnetilknytning","MAP_COLUMNS_THAT_CONTAIN_THE_SAME_DATA_WHEN":"Knyt kolonner, der indeholder de samme data, sammen, når de to CSV-filer bruger forskellige kolonnenavne.","ONLY_MAPPED_COLUMNS_ARE_USED_FOR_MATCHING_AND":"Kun tilknyttede kolonner bruges til matching og sammenligning. Ikke-tilknyttede kolonner forbliver synlige, når du udvider en række.","ORIGINAL_COLUMN":"Oprindelig kolonne","DO_NOT_COMPARE_THIS_COLUMN":"Sammenlign ikke denne kolonne","UNMAPPED_UPDATED_ONLY_COLUMNS":"Ikke-tilknyttede kolonner, der kun findes i den opdaterede fil:","MATCHING":"Matching","CHOOSE_HOW_ROWS_SHOULD_BE_MATCHED_BETWEEN_THE":"Vælg, hvordan rækker skal matches mellem den oprindelige og den opdaterede CSV-fil.","ROW_MATCHING_MODE":"Metode til matching af rækker","USE_A_KEY_COLUMN_WHEN_BOTH_FILES_SHARE":"Brug en nøglekolonne, når begge filer har en stabil identifikator. Brug sammenligning af hele rækken, hvis de ikke har.","AUTO_DETECT":"Registrer automatisk","SELECTED_KEY_COLUMN":"Valgt nøglekolonne","MULTIPLE_KEY_COLUMNS":"Flere nøglekolonner","FULL_ROW_CONTENT":"Hele rækkens indhold","CURRENT_MATCH_MODE":"Aktuel matchingmetode:","KEY_COLUMN":"Nøglekolonne","AUTO_DETECT_PREFERS_COLUMNS_LIKE_ID_EMAIL_SKU":"Automatisk registrering foretrækker kolonner som id, email, sku eller fælles felter med mange unikke værdier.","USE_DETECTED_SUGGESTION":"Brug det registrerede forslag","MULTIPLE_KEYS":"Flere nøgler","COMBINE_SHARED_COLUMNS_WHEN_ONE_COLUMN_ALONE_IS":"Kombiner fælles kolonner, når én kolonne alene ikke er unik nok.","JOIN_TYPE":"Join-type","FULL_OUTER_JOIN_SHOWS_EVERYTHING_INNER_JOIN_SHOWS":"Full outer join viser alt. Inner join viser kun matchede rækker. Left join bruger de oprindelige rækker som grundlag.","FULL_OUTER_JOIN":"Full outer join","INNER_JOIN":"Inner join","LEFT_JOIN":"Left join","COMPARISON":"Sammenligning","NORMALIZE_VALUES_BEFORE_DIFFING_TO_AVOID_NOISE_FROM":"Normaliser værdier før sammenligningen for at undgå støj fra ændringer, der kun vedrører formatering.","IGNORE_COLUMN_ORDER":"Ignorer kolonnerækkefølge","WHEN_ENABLED_COLUMNS_ARE_ALIGNED_BY_NAME_INSTEAD":"Når dette er aktiveret, justeres kolonner efter navn i stedet for position.","COMPARE_COLUMNS_BY_NAME":"Sammenlign kolonner efter navn","IGNORE_WHITESPACE":"Ignorer blanktegn","TRIM_LEADING_AND_TRAILING_WHITESPACE_BEFORE_COMPARING_CELL":"Fjern indledende og afsluttende blanktegn, før celleværdier sammenlignes.","TREAT_EXTRA_SPACES_AS_UNCHANGED":"Betragt ekstra mellemrum som uændrede","IGNORE_CASE":"Ignorer store og små bogstaver","USEFUL_WHEN_THE_SAME_VALUES_APPEAR_WITH_MIXED":"Nyttigt, når de samme værdier forekommer med forskellige kombinationer af store og små bogstaver.","COMPARE_TEXT_CASE_INSENSITIVELY":"Sammenlign tekst uden at skelne mellem store og små bogstaver","EMPTY_AND_NULL_LIKE_VALUES":"Tomme og null-lignende værdier","TREAT_EMPTY_STRINGS_NULL_UNDEFINED_AND_SIMILAR_PLACEHOLDER":"Betragt tomme strenge, null, undefined og lignende pladsholderværdier som ens.","NORMALIZE_EMPTY_AND_NULL_LIKE_VALUES":"Normaliser tomme og null-lignende værdier","OUTPUT":"Output","CHOOSE_WHAT_TO_EXPORT_AND_HOW_THE_DOWNLOADABLE":"Vælg, hvad der skal eksporteres, og hvordan den CSV-fil, der kan downloades, skal formateres.","OUTPUT_MODE":"Outputtype","SUMMARY_KEEPS_ONE_ROW_PER_RECORD_CHANGED_ROWS":"Oversigten beholder én række pr. post. Ændrede rækker fokuserer kun på redigeringer. Den fulde diff viser værdier side om side.","SUMMARY_CSV":"CSV-oversigt","CHANGED_ROWS_CSV":"CSV med ændrede rækker","FULL_DIFF_CSV":"CSV med fuld diff","DOWNLOAD_SEPARATOR":"Separator i download","CHOOSE_THE_DELIMITER_USED_IN_THE_DOWNLOADABLE_DIFF":"Vælg den separator, der bruges i den CSV-diff, som kan downloades.","INCLUDE_UNCHANGED_ROWS":"Medtag uændrede rækker","KEEP_UNCHANGED_ROWS_IN_THE_DOWNLOADABLE_OUTPUT_WHEN":"Behold uændrede rækker i det downloadbare output, når du har brug for en komplet gennemgang post for post.","INCLUDE_UNCHANGED_ROWS_IN_EXPORT":"Medtag uændrede rækker i eksporten","INCLUDE_HEADER_ROW":"Medtag kolonneoverskrifter","INCLUDE_COLUMN_HEADERS_IN_THE_DOWNLOADABLE_CSV":"Medtag kolonneoverskrifter i den CSV-fil, der kan downloades.","ADD_CSV_HEADER_ROW":"Tilføj række med CSV-kolonneoverskrifter","CSV_DIFF":"CSV-diff","DIFF_PREVIEW":"Forhåndsvisning af diff","DOWNLOAD_DIFFERENCES_CSV":"Download CSV med forskelle","DATA_TABLE":"Datatabel","CHANGED_ROWS":"Ændrede rækker","SEARCH_VISIBLE_ROWS":"Søg i synlige rækker","COMPARISON_ERROR":"Fejl under sammenligning","LARGE_CSV_FILES_STAY_IN_YOUR_BROWSER_WHILE":"Store CSV-filer forbliver i din browser, mens processen parser dem og beregner forskellene.","PREVIEW_THE_CSV_DIFF_HERE":"Forhåndsvis CSV-diffen her","UPLOAD_TWO_CSV_FILES_CHOOSE_HOW_ROWS_SHOULD":"Upload to CSV-filer, vælg, hvordan rækker skal matches, så viser tabellen tilføjede, fjernede, ændrede og uændrede rækker.","NO_ROWS_MATCH_THE_CURRENT_PREVIEW_FILTER":"Ingen rækker matcher det aktuelle filter i forhåndsvisningen.","STATUS":"Status","ROW_NUMBER":"Rækkenummer","EXPLAIN_ROW_NUMBER_FORMAT":"Forklar formatet for rækkenumre","KEY":"Nøgle","LOAD_MORE_ROWS":"Indlæs flere rækker","END_OF_CURRENT_RESULT_SET":"Slutningen af det aktuelle resultatsæt","WARNINGS":"Advarsler","CHANGED":"Ændret","ADDED":"Tilføjet","REMOVED":"Fjernet","UNCHANGED":"Uændret","PROCESSING":"Behandler","ORIGINAL_SEPARATOR":"Oprindelig separator:","UPDATED_SEPARATOR":"Opdateret separator:","MATCHED_BY":"Matchet efter:","ORIGINAL_ROWS":"Oprindelige rækker:","UPDATED_ROWS":"Opdaterede rækker:","SUMMARY":"Oversigt","MAPPED_COLUMNS":"Tilknyttede kolonner:","UNMAPPED_COLUMNS":"Ikke-tilknyttede kolonner:","DUPLICATE_KEY_ROWS_FLAGGED":"Rækker med dublerede nøgler markeret:","PREVIEW_COLUMNS":"Kolonner i forhåndsvisningen:","PARSING_ORIGINAL_CSV":"Parser den oprindelige CSV","PARSING_UPDATED_CSV":"Parser den opdaterede CSV","MATCHING_ROWS":"Matcher rækker","COMPUTING_DIFFERENCES":"Beregner forskelle","FILTER_ALL":"Alle","STATUS_ALL":"alle","FILTER_CHANGED":"Ændrede","STATUS_CHANGED":"ændret","FILTER_ADDED":"Tilføjede","STATUS_ADDED":"tilføjet","FILTER_REMOVED":"Fjernede","STATUS_REMOVED":"fjernet","FILTER_UNCHANGED":"Uændrede","STATUS_UNCHANGED":"uændret","COPIED":"Kopieret","COPY_FAILED":"Kopiering mislykkedes","COPY_DIFFERENCES_CSV":"Kopiér CSV med forskelle","FULL_ROW":"Hele rækken","FULL_ROW_CONTENT_2":"hele rækkens indhold","ROW_NUMBER_TOOLTIP":"{original} række : {updated} række.","ORIGINAL_VALUE_HEADER":"{file} – oprindelig","UPDATED_VALUE_HEADER":"{file} – opdateret","ROWS_CHANGED_PERCENT":"{percent}% af rækkerne er ændret","NO_CELL_CHANGES":"Ingen celleændringer","NO_CHANGED_CELLS":"Ingen ændrede celler.","SHOWING_ROWS":"Viser {visible} af {total} rækker","SEPARATOR_OPTION_COMMA":"Komma (,)","SEPARATOR_COMMA":"Komma","SEPARATOR_OPTION_SEMICOLON":"Semikolon (;)","SEPARATOR_SEMICOLON":"Semikolon","SEPARATOR_OPTION_PIPE":"Lodret streg (|)","SEPARATOR_PIPE":"Lodret streg","SEPARATOR_OPTION_TAB":"Tabulator (\\t)","SEPARATOR_TAB":"Tabulator","ROW_ONLY_UPDATED":"Denne række findes kun i den opdaterede CSV.","ROW_ONLY_ORIGINAL":"Denne række findes kun i den oprindelige CSV.","COLUMN_NEW":"ny kolonne","COLUMN_DELETED":"slettet kolonne","COLUMNS_CHANGED":"{count, plural, one {# kolonne ændret} other {# kolonner ændret}}","COLUMN_SAME":"samme"}},"KEYWORDS":["csv diff online","compare csv files online","csv comparison tool","compare two csv files online","compare csv by id","compare csv by key column","csv diff row numbers","compare csv row numbers","csv diff join type","full outer join csv compare","csv diff ignore case","csv diff ignore whitespace","csv diff utf-8","csv diff utf-16","csv diff windows-1252","csv diff latin-1","csv diff output csv","compare large csv files online","free csv diff tool","find differences between csv files","csv changes detector","datablist tools"],"HERO_TITLE":"CSV diff online til rigtige forretningsdata","HERO_DESC":"Dette CSV-sammenligningsværktøj er bygget til gamle og nye eksporter, CRM-snapshots, produktkataloger og lead-lister. I stedet for at vise en støjende tekst-diff linje for linje sammenligner det rækker som data, hjælper dig med at matche rækker efter id eller email og fremhæver, hvilke celler der faktisk er ændret.","EXAMPLE":{"TITLE":"Eksempel: sammenlign to CSV-eksporter efter id","DESCRIPTION":"Dette er den typiske workflow til at sammenligne en tidligere eksport med en nyere. Én række forbliver uændret, én række ændres, én forsvinder, og én ny række dukker op.","DIFF_LABEL":"Resultat af diff"},"MATCHING":{"TITLE":"Sammenlign CSV-rækker efter key column","PARAGRAPHS":["Den bedste måde at sammenligne to CSV-filer online på er som regel at matche rækker efter en stabil nøgle som `id`, `email`, `sku` eller `uuid`. Værktøjet foreslår automatisk en sandsynlig key column, når det finder en, men du kan overstyre det, vælge flere key columns eller falde tilbage til sammenligning af hele rækker.","Det er især nyttigt, når filer indeholder de samme records i en anden rækkefølge, eller når kolonner er blevet omarrangeret mellem eksporter."]},"STATUSES":{"TITLE":"Tilføjede, fjernede, ændrede og uændrede rækker","PARAGRAPHS":["Diff-resultatet opdeler rækker i fire praktiske statusser: tilføjet, fjernet, ændret og uændret. For ændrede rækker viser preview, hvilke kolonner der er ændret, samt den gamle værdi versus den nye værdi.","Det gør dette værktøj mere nyttigt end en simpel tekst-diff til CSV-filer, især når du skal forklare ændringer til ikke-tekniske teams."]},"ADVANCED_TITLE":"Avancerede CSV diff-indstillinger til mere præcis sammenligning","ADVANCED_DESC":"De fleste online CSV diff-værktøjer stopper ved en grundlæggende compare-knap. Dette værktøj giver dig mere kontrol, når du skal sammenligne CSV-filer efter key column, justere hvordan rækker joines, ignorere forskelle, der kun skyldes formatering, eller vælge det præcise diff-output, du vil downloade.","DETAIL_CARDS":[{"TITLE":"Join type: full outer join, inner join eller left join","PARAGRAPHS":["Join type definerer, hvilke rækker der vises i den endelige CSV diff. Full outer join er standard, fordi den viser alt: matchede rækker, tilføjede rækker og fjernede rækker. Inner join bevarer kun rækker, der findes i begge filer. Left join bruger den oprindelige CSV som base og er nyttig, når du primært vil se, hvilke oprindelige records der blev ændret eller forsvandt.","Det er især nyttigt ved søgninger som “full outer join CSV compare” eller “compare old and new CSV file with removed rows”, fordi join-tilstanden ændrer betydningen af diffen."]},{"TITLE":"Matching på key column for ids, emails, SKUs og sammenligning med flere nøgler","PARAGRAPHS":["Hvis du vil sammenligne CSV efter id, email, SKU, uuid eller en anden identifikator, er indstillingen for key column det, der gør resultatet pålideligt. I stedet for at matche rækker efter linjerækkefølge matcher værktøjet records efter den valgte nøgle, så omrokering af kolonner eller flytning af rækker ikke skaber falske forskelle.","Du kan også bruge flere key columns, når ét felt ikke er unikt nok. Det gør værktøjet nyttigt til mere avancerede søgninger som “compare CSV by key column” eller “compare CSV files by multiple columns”."]},{"TITLE":"Sammenligningsindstillinger til at ignorere whitespace, store/små bogstaver og null-lignende værdier","PARAGRAPHS":["Rigtige eksporter adskiller sig ofte kun på grund af formatering. Én fil kan indeholde ekstra mellemrum, tekst med store bogstaver eller placeholder-værdier som `null`, `N/A` eller tomme strenge. Sammenligningsindstillingerne lader dig ignorere forskelle i whitespace, ignorere store/små bogstaver og behandle tomme og null-lignende værdier som ens, før diffen beregnes.","Disse muligheder er vigtige, når brugere søger efter et mere avanceret CSV-sammenligningsværktøj i stedet for en naiv tekst-diff. De hjælper med at reducere støj og fokusere preview på faktiske dataændringer."]},{"TITLE":"Outputformat: summary CSV, changed rows CSV eller fuld diff CSV","PARAGRAPHS":["Nogle workflows har kun brug for en kompakt summary med rækkestatus og nøgler. Andre har brug for en CSV kun med ændrede rækker eller en fuld diff CSV med oprindelige og opdaterede værdier side om side. Outputindstillingerne lader dig vælge det format, vælge separator og beslutte, om uændrede rækker skal forblive i den eksporterede fil.","Det gør værktøjet mere fleksibelt end mange gratis CSV diff-værktøjer online, fordi det eksporterede resultat kan tilpasses til audits, business reviews, reconciliation-workflows eller efterfølgende arbejde i regneark."]},{"TITLE":"Sammenlign store CSV-filer online","PARAGRAPHS":["Værktøjet er designet til at sammenligne store CSV-filer online uden at forsøge at rende hver række i browseren. Det beregner fulde summary-tal, begrænser preview til et håndterbart sample og lader dig stadig downloade det fulde diff-resultat bagefter.","Hvis du har brug for et gratis CSV diff-værktøj til store eksporter, er den workflow til store filer hele pointen med denne side."]},{"TITLE":"Kompatibelt med flere CSV-encodings","PARAGRAPHS":["Rigtige CSV-filer gemmes ikke altid som almindelig UTF-8. Dette værktøj er bygget til at håndtere almindelige spreadsheet- og eksport-encodings, herunder UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil.","Det er vigtigt, når du har brug for en online CSV diff til filer fra Excel, ældre business software eller regionale eksporter, som ellers åbner med ødelagte accenter eller ulæselige tegn."]},{"TITLE":"Rækkenumre i diff-datatabellen","PARAGRAPHS":["Når du sammenligner CSV-filer efter key column, kan diff-datatabellen også vise de oprindelige rækkenumre for hver matchet record. Hvis rækken blev på samme position, ser du ét rækkenummer. Hvis recorden er flyttet, viser tabellen begge rækkenumre, så du kan spore den tilbage i hver fil.","Det er nyttigt til audits, reconciliation-arbejde og support-sager, hvor du ikke kun skal forklare, hvad der ændrede sig, men også præcis hvor rækken kom fra i den oprindelige CSV og den opdaterede CSV."]},{"TITLE":"Privat behandling i browseren","PARAGRAPHS":["CSV-filer parses og sammenlignes i din browser. Det er vigtigt, når du arbejder med kundeeksporter, omsætnings-snapshots, lagerdata eller andre følsomme regneark, som bør blive på din egen maskine.","Det gør også CSV diff online-oplevelsen hurtigere, fordi der ikke er noget upload-trin på serversiden, før du kan inspicere resultatet."]}],"FAQ_TITLE":"FAQ","FAQ_ITEMS":[{"QUESTION":"Hvordan sammenligner jeg to CSV-filer online?","ANSWER":"Upload den oprindelige CSV og den opdaterede CSV, vælg hvordan rækker skal matches, gennemgå diff-previewet, og download derefter summary eller den fulde diff CSV. Matching efter id, email eller en anden stabil nøgle giver som regel det tydeligste resultat."},{"QUESTION":"Kan jeg sammenligne CSV-filer efter id?","ANSWER":"Ja. Værktøjet er bygget til at sammenligne CSV-rækker efter key column. Det kan automatisk foreslå kolonner som id, email, sku, key eller uuid, og du kan også vælge flere key columns, når én kolonne alene ikke er nok."},{"QUESTION":"Hvad hvis kolonnerne er omarrangeret?","ANSWER":"Standardadfærden sammenligner kolonner efter kolonnenavn, ikke kun efter position. Det betyder, at omarrangerede kolonner ikke skaber falske forskelle, når kolonner med samme navn findes i begge filer."},{"QUESTION":"Hvad betyder join type i en CSV diff?","ANSWER":"Join type styrer, hvilke rækker der inkluderes i resultatet. Full outer join inkluderer matchede, tilføjede og fjernede rækker. Inner join inkluderer kun rækker, der findes i begge filer. Left join bruger den oprindelige CSV som base og udelukker rækker, der kun findes i den opdaterede fil."},{"QUESTION":"Kan jeg ignorere whitespace eller forskelle i store/små bogstaver?","ANSWER":"Ja. Sammenligningsindstillingerne kan ignorere whitespace, ignorere store/små bogstaver og behandle tomme eller null-lignende værdier som ens. Det hjælper, når du vil finde reelle dataændringer i stedet for støj, der kun skyldes formatering."},{"QUESTION":"Hvilke CSV-encodings understøttes?","ANSWER":"Værktøjet er kompatibelt med almindelige CSV-encodings, herunder UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil. Det hjælper med CSV-eksporter fra Excel, legacy-software og business-systemer, der ikke bruger UTF-8."},{"QUESTION":"Kan jeg se rækkenumre i diffen?","ANSWER":"Ja. Når rækker matches efter key column, kan diff-datatabellen vise rækkenumre for begge filer. Hvis recorden vises på forskellige linjenumre i hver fil, vises begge rækkenumre, så du kan spore matchningen tilbage til kilde-CSV'erne."},{"QUESTION":"Hvilke outputformater er tilgængelige?","ANSWER":"Du kan eksportere en summary CSV, en changed rows CSV eller en fuld diff CSV. Outputindstillingerne lader dig også vælge separator og om uændrede rækker skal inkluderes."},{"QUESTION":"Kan dette sammenligne store CSV-filer?","ANSWER":"Ja. Preview er begrænset, så siden forbliver responsiv, mens den fulde diff stadig beregnes til optællinger og download. Det gør værktøjet velegnet til større eksporter, end en simpel DOM-tung viewer komfortabelt kan håndtere."},{"QUESTION":"Er dette CSV-sammenligningsværktøj gratis?","ANSWER":"Ja. Denne side er et gratis online CSV diff-værktøj. Du kan sammenligne CSV-filer online, inspicere forskellene og downloade resultatet uden at skulle installere et desktop-program."}],"OTHER_TOOLS_DESC":"Har du brug for et andet data-værktøj efter at have sammenlignet to CSV-filer? Disse værktøjer er designet til nærliggende cleanup- og konverterings-workflows."},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV-række-splitter — opdel/udvid CSV-rækker efter skilletegn","PAGE_DESC":"Gratis onlineværktøj til at opdele CSV-rækker efter skilletegn. Vælg en kolonne, vælg en separator, og udvid celler med flere værdier til én række pr. værdi. Virker med store filer, fuldt i browseren.","SCHEMA_NAME":"Datablist CSV-række-splitter","SCHEMA_DESC":"Gratis online CSV-række-splitter. Opdel celler med flere værdier til individuelle rækker ved at vælge en kolonne og et skilletegn. Fuldt i browseren, virker med store filer.","TOOL":{"CHARS":"tegn","COLUMN_HELP":"Vælg, hvilken kolonne der indeholder flere værdier i hver celle.","COLUMN_LABEL":"Kolonne, der skal opdeles","COPY_ARIA":"Kopiér CSV","COPY_DONE_LABEL":"Kopieret!","DELIMITER_CUSTOM_HINT":"eller skriv en brugerdefineret separator","DELIMITER_HELP":"Tegnet, der bruges til at adskille værdier inde i cellen.","DELIMITER_LABEL":"Celleseparator","EMPTY_SOURCE_LABEL":"Indsæt CSV eller upload en fil","ERROR_MISSING_SOURCE":"Indsæt først CSV-data eller upload en CSV-fil.","NO_PREVIEW_DESC":"Upload en CSV eller indsæt data, og klik på Opdel rækker.","NO_PREVIEW_TITLE":"Ingen forhåndsvisning endnu","OPTIONS_DUPLICATES_DESC":"Behold kun den første forekomst af hver værdi i en celle.","OPTIONS_DUPLICATES_LABEL":"Fjern dubletter","OPTIONS_HEADER":"Indstillinger","OPTIONS_SKIP_EMPTY_DESC":"Fjern rækker, der ville være tomme efter opdeling.","OPTIONS_SKIP_EMPTY_LABEL":"Spring tomme værdier over","OPTIONS_TRIM_DESC":"Fjern indledende og afsluttende mellemrum fra hver værdi.","OPTIONS_TRIM_LABEL":"Trim mellemrum","OVERLAY_DESC":"Filen bliver behandlet lokalt og vist med det samme.","OVERLAY_TITLE":"Slip din CSV-fil her","PASTE_LABEL":"Indsæt CSV","PASTED_LABEL":"Indsat CSV","PREVIEW_LIMIT":"{count} af {total} rækker","PREVIEW_SPLIT_BADGE":"opdelt","ROWS_AFTER":"Rækker efter","ROWS_BEFORE":"Rækker før","STATUS_FAILED":"Behandling mislykkedes","STATUS_PREVIEW_READY":"Forhåndsvisning klar","STATUS_PROCESSING":"Behandler CSV…","STATUS_WAITING":"Venter på input","SUBMIT_LABEL":"Opdel rækker","TRUST_BROWSER":"Behandles i din browser","TRUST_LARGE_FILES":"Virker med store CSV-filer","TRUST_NO_UPLOAD":"Ingen upload til server","DELIMITERS":{"COMMA":"Komma ,","SEMICOLON":"Semikolon ;","PIPE":"Pipe |","TAB":"Tabulator \\t"},"CUSTOM_DELIMITER":"Brugerdefineret…","PASTE_PLACEHOLDER":"Navn,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":"Viser {count} af {total} rækker — download CSV-filen for at få alle rækker."},"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":"Opdel CSV-rækker efter skilletegn — på få sekunder. Ingen Excel-formler.","HERO_DESC":"Jeg eksporterede kontakter fra mit CRM. Alle emails lå samlet i én celle, kommasepareret. Jeg havde brug for én email pr. række. Excel gjorde det besværligt. Dette værktøj klarer det på 10 sekunder.","WHY_TITLE":"Hvorfor det er vigtigt at opdele celler med flere værdier","WHY_DESC":"CRM'er, e-handelsplatforme og survey-eksporter lægger ofte flere værdier i én enkelt celle. Tags, emails, telefonnumre, kategorier — de hober sig op bag et skilletegn. Normaliserede data er nemmere at importere, deduplikere, filtrere og berige. Én værdi pr. række er standarden, som dine værktøjer forventer.","INTRO_CARDS":[{"TITLE":"Opdel en kolonne i flere rækker i CSV","PARAGRAPHS":["Brug dette værktøj, når du skal opdele en kolonne i flere rækker i en CSV-fil. Det er bygget til filer, hvor én celle indeholder flere emails, tags, telefonnumre, kategorier, skills eller ID'er adskilt af et skilletegn.","Dette er en af de hurtigste måder at normalisere CSV-data og normalisere CSV-celler med flere værdier på, før du importerer filen til et andet system. I stedet for at have flere værdier i én record udvider du rækkerne i CSV-filen, så hver værdi får sin egen række."]},{"TITLE":"Sådan opdeler du en celle i flere rækker i Excel","PARAGRAPHS":["Mange søger efter, hvordan man opdeler en celle i flere rækker i Excel, eller hvordan man opdeler kommaseparerede værdier i flere rækker i Excel. Til CSV-filer er dette onlineværktøj som regel hurtigere end at bygge formler, bruge Power Query eller manuelt kopiere rækker.","Indsæt eller upload din CSV, vælg kolonnen, bekræft skilletegnet, og download resultatet. Hvis dit mål er at konvertere en celle med flere værdier til rækker i CSV online, er denne side bygget præcis til det workflow."]}],"EXAMPLES":{"EMAILS":{"TITLE":"Eksempel: opdel kontakter med flere emails til én række pr. email","DESCRIPTION":"En typisk CRM-eksport lægger alle kontaktens emails i én enkelt celle. Ved opdeling udvides hver kontakt til individuelle rækker, som du kan importere i ethvert værktøj.","INPUT_LABEL":"CSV-input","OUTPUT_LABEL":"CSV-output"},"TAGS":{"TITLE":"Eksempel: udvid produkt-tags til individuelle rækker","DESCRIPTION":"Produktkataloger pakker ofte flere tags i én celle. Ved opdeling får du en ren struktur med ét tag pr. række, klar til filtrering, gruppering eller analyse.","INPUT_LABEL":"CSV-input","OUTPUT_LABEL":"CSV-output"}},"SETTINGS_CARDS":[{"TITLE":"Sådan opdeler værktøjet CSV-rækker","ITEMS":[{"TITLE":"Kolonne der skal opdeles","BODY":"Vælg den kolonne, der indeholder flere værdier i én enkelt celle. Alle andre kolonner duplikeres på tværs af de nye rækker. Kun én kolonne udvides ad gangen i denne version."},{"TITLE":"Cellens skilletegn","BODY":"Dette er tegnet, der adskiller værdier inde i cellen — forskelligt fra CSV-filens kolonneseparator. Almindelige valg er komma, semikolon, pipe og tab. Værktøjet foreslår et skilletegn baseret på dine data."},{"TITLE":"Trim mellemrum","BODY":"Aktiveret som standard. Fjerner foranstillede og efterstillede mellemrum fra hver værdi efter opdeling. Nyttigt når værdier er adskilt med \", \" i stedet for kun \",\"."}]},{"TITLE":"Avancerede indstillinger","ITEMS":[{"TITLE":"Fjern dubletter","BODY":"Når en celle indeholder `a,a,b`, vil denne mulighed kun beholde én `a` og lave to rækker i stedet for tre. Nyttigt når dine kildedata har utilsigtede gentagelser."},{"TITLE":"Spring tomme værdier over","BODY":"Når en opdeling giver en tom streng, for eksempel fra et afsluttende skilletegn som `a,b,`, fjerner denne mulighed den tomme værdi i stedet for at oprette en tom række."},{"TITLE":"Tomme celler bevares som standard","BODY":"Hvis en celle er helt tom, bevares rækken uændret. Kun celler, der faktisk indeholder skilletegnet, udvides."}]}],"INFO_CARDS":[{"TITLE":"Virker med store CSV-filer","PARAGRAPHS":["Opdeling udvider antallet af rækker, nogle gange markant. En fil med 5.000 rækker og i gennemsnit 3 værdier pr. celle bliver til 15.000 rækker. Værktøjet håndterer det uden problemer.","Previewet viser de første 100 output-rækker, så browseren forbliver responsiv. Download den fulde CSV, når du har bekræftet, at opdelingen er korrekt."]},{"TITLE":"Kompatibel med flere CSV-encodings","PARAGRAPHS":["CSV-filer fra regneark og ældre eksporter er ikke altid encoded på samme måde. Dette værktøj understøtter almindelige CSV-encodings, herunder UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil.","Det gør det mere pålideligt, når du skal opdele rækker i CSV-filer, der indeholder accenter, specialtegn eller ældre eksportformater, som ofte fejler i simple onlineværktøjer."]},{"TITLE":"Din fil forlader aldrig browseren","PARAGRAPHS":["Al parsing og opdeling sker lokalt i din browser ved hjælp af en Web Worker. Ingen fil uploades til en server. Det er vigtigt, når du arbejder med kundedata, CRM-eksporter eller fortrolige kontaktlister.","Dette værktøj er gratis at bruge og kræver ingen konto."]}],"USE_CASES_TITLE":"Hvornår du skal bruge dette værktøj","USE_CASES":[{"TITLE":"Opdel kommaseparerede værdier til rækker","BODY":"Lav `a,b,c` i én celle om til tre separate rækker — det mest almindelige use case for CRM- og e-handels-eksporter."},{"TITLE":"Normaliser CSV med flere emails pr. celle","BODY":"Udvid kontaktlister, hvor én person har flere emails samlet i én kolonne, så hver email får sin egen række."},{"TITLE":"Opdel en kolonne med flere værdier til rækker","BODY":"Når én CSV-kolonne gemmer flere værdier i én celle, kan du udvide den til separate rækker, så filen bliver lettere at importere, filtrere og analysere."},{"TITLE":"Udvid tags og kategorier","BODY":"Produktkataloger, blogindlæg og support tickets gemmer ofte flere tags i ét felt. Normaliser dem før analyse."},{"TITLE":"Unnest telefonnumre","BODY":"Når kontakter har flere telefonnumre i én celle, kan du opdele dem til individuelle rækker for renere importer til dialers eller CRM'er."},{"TITLE":"Tidy data til deduplikering","BODY":"Én værdi pr. række er tidy data-standarden. Efter opdeling kan du bruge Datablist til at deduplikere, filtrere og berige resultaterne."},{"TITLE":"Forbered data til importer","BODY":"De fleste CRM- og marketingplatforme forventer én værdi pr. række. Opdeling er ofte første skridt før import eller berigelse af dine data."}],"VOCABULARY":{"TITLE":"CSV explode, unnest, flatten eller unpivot","PARAGRAPHS":["Forskellige værktøjer beskriver denne transformation på forskellige måder. Du leder måske efter et værktøj til CSV explode column, en måde at unnest en CSV-kolonne på, en metode til at flatten en CSV-kolonne eller et workflow til CSV unpivot multi-value column.","I praksis er målet det samme: tidy data med flere værdier pr. celle, så én værdi bliver til én række. Den struktur er lettere at joine, deduplikere, gruppere, berige og eksportere."]},"FAQ_TITLE":"FAQ","FAQ_ITEMS":[{"QUESTION":"Kan jeg bruge semikolon som cellens skilletegn?","ANSWER":"Ja. Værktøjet understøtter komma, semikolon, pipe, tab og brugerdefinerede skilletegn. Det forsøger også automatisk at registrere det korrekte skilletegn ud fra dine data, når du vælger en kolonne."},{"QUESTION":"Virker det med store CSV-filer?","ANSWER":"Ja. Opdelingen sker inde i en Web Worker, så den ikke blokerer browseren. Previewet er begrænset til 100 rækker, men det fulde output kan downloades, selv når din fil har titusindvis af rækker."},{"QUESTION":"Bliver mine data uploadet til en server?","ANSWER":"Nej. Alt kører lokalt i din browser. Din CSV sendes aldrig til nogen server. Det gør det sikkert til kundedata, interne eksporter og alt andet, du ikke ønsker at uploade."},{"QUESTION":"Hvilke CSV-encodings understøttes?","ANSWER":"Værktøjet er kompatibelt med almindelige CSV-encodings, herunder UTF-8, UTF-8 med BOM, UTF-16 LE, UTF-16 BE, Windows-1252 og filer i Latin-1-stil. Det hjælper, når din CSV kommer fra Excel, ældre software eller eksporter med accenttegn."},{"QUESTION":"Hvad sker der med celler, der ikke indeholder skilletegnet?","ANSWER":"De bevares uændret. Kun celler, der faktisk indeholder skilletegnet, udvides til flere rækker. Tomme celler bevares også som standard."},{"QUESTION":"Håndterer det citerede CSV-felter korrekt?","ANSWER":"Ja. Den underliggende CSV-parser håndterer citerede felter korrekt. En værdi som \"mia.chen@example.test,mia@workmail.test\" behandles som én enkelt værdi og opdeles efter cellens skilletegn, ikke CSV-separatoren."}],"CTA_TITLE":"Har du brug for at deduplikere eller berige dine data efter opdeling?","CTA_DESC":"Når dine data er normaliseret — én værdi pr. række — gør Datablist det nemt at deduplikere kontakter, berige med eksterne data, filtrere efter enhver kolonne og eksportere en ren, færdig fil.","CTA_LABEL":"Prøv Datablist gratis","OTHER_TOOLS_DESC":"Har du brug for et andet dataværktøj efter at have opdelt din CSV? Disse værktøjer dækker tilstødende workflows til oprydning og konvertering."},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — Opdel CSV-filer efter rækker, størrelse, værdier, regler eller datoer","PAGE_DESC":"Gratis online CSV Splitter til rodede exports fra den virkelige verden. Auto-detekter kolonner, få forslag til smarte opdelingsmuligheder, preview outputfiler, og download CSV- eller ZIP-resultater direkte i din browser.","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"Gratis online CSV-splitter, der kan opdele efter rækker, filstørrelse, grupperede værdier, regler og datointervaller. Kører udelukkende i browseren og downloader multi-file exports som ZIP-arkiver.","TOOL":{"ANALYSIS_COLUMNS":"Kolonner","ANALYSIS_DELIMITER":"Separator","ANALYSIS_ENCODING":"Kodning","ANALYSIS_ROWS":"Rækker","DOWNLOAD_ACTIVE_FILE":"Download aktiv fil","EMPTY_SOURCE_LABEL":"Upload en CSV eller indsæt den nedenfor","ERROR_INVALID_ROWS_PER_FILE":"Rækker pr. fil skal være et helt tal større end 0.","ERROR_LOAD_FILE":"Kunne ikke indlæse denne CSV-fil.","ERROR_LOAD_PASTED_CSV":"Kunne ikke læse den indsatte CSV.","ERROR_MISSING_RULES":"Tilføj mindst én regel, før du forhåndsviser denne opdeling.","ERROR_MISSING_SOURCE":"Indsæt en CSV, før du fortsætter.","ERROR_MISSING_SOURCE_FOR_PREVIEW":"Upload eller indsæt først en CSV.","ERROR_RULE_FILE_LABEL":"Hver regel skal have et destinationsfilnavn, før du kan forhåndsvise denne opdeling.","FILE_HINT":"CSV-separator, linjeskift i anførselstegn, dublerede headers og kodning håndteres automatisk.","LOAD_FIRST_DESC":"Upload en fil eller indsæt CSV, og vælg derefter en split mode for at fortsætte.","LOAD_FIRST_TITLE":"Indlæs først en CSV","MODE_LOCKED_HINT":"Upload eller indsæt en CSV for at låse disse split modes op.","MODE_OPTIONS":[{"DESCRIPTION":"Opret filer med et fast antal rækker. Dette er det sikreste standardvalg for de fleste eksporter.","LABEL":"Split efter rækker","MODE":"rows"},{"DESCRIPTION":"Hold hver fil under en omtrentlig uploadgrænse, når et andet værktøj afviser større CSV-filer.","LABEL":"Split efter filstørrelse","MODE":"size"},{"DESCRIPTION":"Opret én fil pr. land, owner, status eller anden gentaget kategori.","LABEL":"Split efter kolonneværdier","MODE":"column_value"},{"DESCRIPTION":"Send rækker til filer baseret på simple betingelser som land, email-domæne eller virksomhedsstørrelse.","LABEL":"Split efter regler","MODE":"conditional"},{"DESCRIPTION":"Gruppér rækker efter måned, år eller ISO-uge ved hjælp af en datokolonne.","LABEL":"Split efter datointervaller","MODE":"date_range"}],"PASTE_CARD_DESC":"Nyttigt til hurtige tests, eller når filen allerede er i din udklipsholder.","PASTE_CARD_TITLE":"Indsæt CSV","PASTE_DROP_HINT":"Indsæt eller slip en fil","PASTED_LABEL":"Indsat CSV","PREPARING_MODE_DESC":"Denne mode kræver en dybere scanning af kolonnerne, før indstillingerne kan vises.","PREPARING_MODE_TITLE":"Forbereder denne split mode","PREVIEW_AFTER_BUILD_DESC":"Vælg en split mode, justér indstillingerne, og forhåndsvis outputfilerne før download.","PREVIEW_AFTER_BUILD_TITLE":"Forhåndsvisning kommer efter, at du har bygget opdelingen","PREVIEW_PANEL_DESC":"Gennemgå antal filer, advarsler og forhåndsvisningen af hvert output før download.","PREVIEW_PANEL_TITLE":"Forhåndsvis og download","PREVIEW_SPLIT_LABEL":"Forhåndsvis opdeling","READY_TO_SPLIT":"Klar til at splitte","STATUS_ANALYSIS_READY":"Analyse klar","STATUS_ANALYZING":"Analyserer kolonner…","STATUS_BUILDING_PREVIEW":"Bygger forhåndsvisning af opdeling…","STATUS_CHOOSE_MODE":"Vælg en split mode","STATUS_LOADING_PREVIEW":"Indlæser forhåndsvisning af fil…","STATUS_PREPARING_DOWNLOAD":"Forbereder fildownload…","STATUS_PREPARING_ZIP":"Forbereder ZIP-arkiv…","STATUS_PREVIEW_READY":"Forhåndsvisning klar","STATUS_READY_TO_SPLIT":"Klar til at splitte","STATUS_SETTINGS_READY":"Justér indstillinger og forhåndsvis","STATUS_UNABLE_LOAD_CSV":"Kan ikke indlæse CSV","STATUS_UNABLE_LOAD_FILE":"Kan ikke indlæse fil","STATUS_WAITING":"Venter på en CSV-fil","STATUS_ZIP_READY":"ZIP klar","UPLOAD_CSV":"Upload CSV","USE_CSV":"Brug CSV","UI":{"NAME_EMAIL_COUNTRY_10_ALICE_ALICE_EXAMPLE":"navn,email,land\nAlice,alice@example.com,FR","ROWS_PER_FILE":"Rækker pr. fil","MAX_SIZE_PER_FILE_BYTES":"Maks. størrelse pr. fil (bytes)","USE_250000_FOR_ROUGHLY_250_KB_1000000":"Brug 250000 for ca. 250 KB og 1000000 for ca. 1 MB.","GOOD_WHEN_DOWNSTREAM_TOOLS_HAVE_UPLOAD_LIMITS":"Velegnet, når efterfølgende værktøjer har uploadgrænser","SIZE_BASED_CHUNKS_USE_EXACT_ROW_SIZES":"Størrelsesbaserede dele bruger de præcise rækkestørrelser, men meget varierende rækker gør resultatet mindre forudsigeligt end ved opdeling efter rækker.","SPLIT_BY_COLUMN_S":"Opdel efter kolonne(r)","USE_ONE_COLUMN_FOR_SIMPLE_SEGMENTATION_OR":"Brug én kolonne til enkel segmentering, eller kombiner flere kolonner for at få mere detaljerede outputfiler.","LIMIT_OUTPUT_FILES":"Begræns antallet af outputfiler","RULE_BUILDER":"Regelbygger","RULES_RUN_IN_ORDER_CHOOSE_FIRST_MATCH":"Reglerne køres i rækkefølge. Vælg kun første match, eller tillad, at rækker placeres i flere filer.","ADD_RULE":"Tilføj regel","RULE":"Regel","REMOVE":"Fjern","EQUALS":"er lig med","DOES_NOT_EQUAL":"er ikke lig med","CONTAINS":"indeholder","DOES_NOT_CONTAIN":"indeholder ikke","STARTS_WITH":"starter med","ENDS_WITH":"slutter med","GREATER_THAN":"er større end","GREATER_THAN_OR_EQUAL":"er større end eller lig med","LESS_THAN":"er mindre end","LESS_THAN_OR_EQUAL":"er mindre end eller lig med","IS_EMPTY":"er tom","IS_NOT_EMPTY":"er ikke tom","COMPARISON_VALUE":"Sammenligningsværdi","DESTINATION_FILE_NAME":"Destinationsfilens navn","THIS_IS_THE_FILE_THAT_WILL_RECEIVE":"Dette er filen, der modtager rækker, som matcher denne regel. Eksempel: enterprise, gmail eller north-america.","EXAMPLE_ENTERPRISE":"Eksempel: enterprise","CASE_SENSITIVE":"Forskel på store og små bogstaver","DATE_COLUMN":"Datokolonne","GROUP_BY":"Gruppér efter","MONTH":"Måned","YEAR":"År","ISO_WEEK":"ISO-uge","ADVANCED_SETTINGS":"Avancerede indstillinger","USE_THESE_ONLY_WHEN_THE_SIMPLE_SETUP":"Brug kun disse, når den enkle opsætning ikke er tilstrækkelig. Her finder du indstillinger til projektion og finjustering.","EXPORT_SETTINGS":"Eksportindstillinger","FILENAME_PATTERN":"Filnavnsmønster","USE_VARIABLES_LIKE_INDEX_AND_LABEL_EXAMPLE":"Brug variabler som {index} og {label}. Eksempel: batch-{index}-{label}","STARTING_NUMBER":"Startnummer","THE_FIRST_FILE_INDEX_USED_WHEN_INDEX":"Det første filindeks, der bruges, når {index} indgår i filnavnsmønstret.","COLUMNS_TO_KEEP_IN_THE_OUTPUT":"Kolonner, der skal bevares i outputtet","PROJECTION_HAPPENS_BEFORE_THE_SPLIT_IT_REDUCES":"Projektionen udføres før opdelingen. Det reducerer filstørrelsen og giver renere eksportfiler.","SELECT_ALL":"Vælg alle","UNSELECT_ALL":"Fravælg alle","ROW_SETTINGS":"Rækkeindstillinger","OVERLAP_ROWS":"Overlappende rækker","USEFUL_WHEN_BATCH_TOOLS_NEED_CONTEXT_IN":"Nyttigt, når batchværktøjer har brug for kontekst i den næste fil.","SHUFFLE_ROWS":"Bland rækker","USEFUL_FOR_EXPERIMENTS_AND_SAMPLING":"Nyttigt til eksperimenter og stikprøver.","KEEP_GROUPED_ROWS_TOGETHER":"Hold grupperede rækker samlet","AVOID_BREAKING_THE_SAME_GROUP_ACROSS_FILES":"Undgå at opdele den samme gruppe på tværs af filer.","GROUPING_COLUMN":"Grupperingskolonne","CHOOSE_A_COLUMN":"Vælg en kolonne","COLUMN_VALUE_SETTINGS":"Indstillinger for kolonneværdier","RARE_VALUE_HANDLING":"Håndtering af sjældne værdier","KEEP_EVERY_DISTINCT_VALUE":"Bevar hver enkelt unik værdi","KEEP_TOP_N_VALUES_GROUP_THE_REST":"Bevar de N mest forekommende værdier, og gruppér resten","GROUP_BUCKETS_BELOW_A_ROW_THRESHOLD":"Gruppér grupper under en rækkegrænse","TOP_N_VALUES_TO_KEEP":"Antal topværdier, der skal bevares","MINIMUM_ROWS_PER_BUCKET":"Minimum antal rækker pr. gruppe","OTHER_BUCKET_LABEL":"Etiket til gruppen Andre","ALSO_SPLIT_LARGE_GROUPS_BY_FILE_SIZE":"Opdel også store grupper efter filstørrelse","USEFUL_WHEN_ONE_SEGMENT_IS_MUCH_BIGGER":"Nyttigt, når ét segment er meget større end resten.","MAX_SIZE_PER_GROUPED_FILE_BYTES":"Maks. størrelse pr. grupperet fil (bytes)","RULE_SETTINGS":"Regelindstillinger","FIRST_MATCH_ONLY":"Kun første match","TURN_THIS_OFF_TO_DUPLICATE_A_ROW":"Slå dette fra for at kopiere en række til flere outputfiler.","KEEP_UNMATCHED_ROWS_IN_A_SEPARATE_FILE":"Gem rækker uden match i en separat fil","TURN_THIS_ON_IF_YOU_WANT_ROWS":"Slå dette til, hvis rækker, der ikke matcher nogen regel, skal placeres i deres egen eksportfil.","UNMATCHED_ROWS_FILE_NAME":"Filnavn til rækker uden match","THIS_NAME_IS_USED_FOR_THE_EXTRA":"Dette navn bruges til den ekstra fil, der samler rækker, som ikke matcher nogen af dine regler.","DATE_SETTINGS":"Datoindstillinger","DATE_FORMAT":"Datoformat","USE_A_FIXED_FORMAT_WHEN_THE_ANALYZER":"Brug et fast format, hvis analysen har gættet forkert.","AUTO_DETECT":"Registrér automatisk","YYYY_MM_DD":"YYYY-MM-DD","DD_MM_YYYY":"DD/MM/YYYY","MM_DD_YYYY":"MM/DD/YYYY","DD_MM_YYYY_2":"DD-MM-YYYY","MM_DD_YYYY_2":"MM-DD-YYYY","INVALID_DATES":"Ugyldige datoer","SEND_TO_A_SEPARATE_FILE":"Send til en separat fil","SKIP_INVALID_ROWS":"Spring ugyldige rækker over","INVALID_DATE_FILE_LABEL":"Etiket til fil med ugyldige datoer","COLUMN_TYPE_OVERRIDES":"Tilsidesættelse af kolonnetyper","USE_THIS_WHEN_A_NUMBER_OR_DATE":"Brug dette, hvis en tal- eller datokolonne er blevet registreret forkert. Det påvirker regelsammenligninger og datobaserede opdelinger.","DETECTED_AS":"Registreret som","TEXT":"Tekst","NUMBER":"Tal","DATE":"Dato","COMMA_THOUSANDS_SEPARATOR":"Komma som tusindtalsseparator","DOT_THOUSANDS_SEPARATOR":"Punktum som tusindtalsseparator","SPACE_THOUSANDS_SEPARATOR":"Mellemrum som tusindtalsseparator","APOSTROPHE_THOUSANDS_SEPARATOR":"Apostrof som tusindtalsseparator","NO_THOUSANDS_SEPARATOR":"Ingen tusindtalsseparator","ONLY":"Kun","ROWS_SHOWN_IN_PREVIEW":"rækker vist i forhåndsvisningen","PREVIEW_LOADS_ON_DEMAND_FOR_THIS_FILE":"Forhåndsvisningen indlæses efter behov for denne fil","LARGE_ROW_BASED_SPLITS_ONLY_PRELOAD_THE":"Ved store rækkebaserede opdelinger indlæses kun den første fil på forhånd, så forhåndsvisningen forbliver hurtig.","SUGGESTED_GROUPING_COLUMNS":"Foreslåede grupperingskolonner","GROUPS":"grupper","LARGEST":"Største:","SMALLEST":"Mindste:","MEDIAN":"Median:","NO_STRONG_GROUPING_COLUMN_WAS_DETECTED_ROW":"Der blev ikke fundet nogen oplagt grupperingskolonne. Række- eller størrelsesbaseret opdeling er de sikreste standardvalg for denne fil.","FILE_ANALYSIS":"Filanalyse","DUPLICATE_HEADERS":"Dublerede kolonneoverskrifter:","EMPTY_COLUMNS":"Tomme kolonner:","LARGE_TEXT_COLUMNS":"Kolonner med meget tekst:","LEARN_MORE_ABOUT":"Læs mere om {title}","SOMETHING_WENT_WRONG":"Noget gik galt","TAB":"Tabulator","DOWNLOAD_ZIP":"Download ZIP","OUTPUT_FILES":"Outputfiler","PROJECTED_COLUMNS":"Valgte outputkolonner","LARGEST_FILE":"Største fil","ZIP_SIZE":"ZIP-størrelse","ROWS_COUNT":"{count} rækker","OUTPUT_FILE_META":"{rows} rækker · {size}","ROWS_SHOWN":"Kun {count} rækker vises i forhåndsvisningen","GROUPS_COUNT":"{count} grupper","NONE":"ingen"}},"KEYWORDS":["csv splitter","split csv by column value","split csv by file size","split csv by date","split csv by rules","split large csv online","csv splitter zip download","csv split into multiple files","split csv by country","datablist tools"],"HERO_TITLE":"Opdel CSV-filer efter betydning, ikke kun efter chunk-størrelse","HERO_DESC":"Mange CSV splitter-værktøjer stopper ved “hver 1.000 rækker”. Virkelige exports er mere rodede. Nogle gange har du brug for én fil pr. land, én fil pr. måned, én fil til enterprise accounts eller en fallback-fil til de rækker, der ikke matchede noget. Dette værktøj er bygget til den virkelighed.","INTRO_CARDS":[{"TITLE":"Smart analyse før opdelingen","PARAGRAPHS":["Værktøjet auto-detekterer encoding, delimiter, duplikerede headers, tomme kolonner, large-text fields og grouping columns med lav kardinalitet. Det gør det lettere at vælge en praktisk opdeling i stedet for at gætte.","Du får også advarsler, når en opdeling er risikabel: for mange outputfiler, for mange bittesmå filer eller én kæmpestor bucket, der er meget større end resten."]},{"TITLE":"Bygget til store CSV-exports fra den virkelige verden","PARAGRAPHS":["Store filer bliver på klientsiden. Du kan preview resultatet før download, beholde kun de kolonner du har brug for og eksportere én fil eller mange filer i et ZIP-arkiv.","Det fungerer godt til outreach-batches, handoff pr. land, CRM cleanup, compliance reviews og månedlige historiske udsnit."]}],"GUIDE_TITLE":"Guide til indstillinger for de svære dele","GUIDE_DESC":"Nogle split-indstillinger er kraftfulde, men ikke oplagte ved første øjekast. Hjælpeikonerne i værktøjet hopper til de matchende forklaringer nedenfor, så du kan forstå, hvad en indstilling faktisk ændrer, før du previewer opdelingen.","GUIDES":[{"ID":"csv-splitter-help-rows","EXTRA_IDS":["csv-splitter-help-overlap","csv-splitter-help-grouped-rows","csv-splitter-help-size"],"ICON":"rows","TITLE":"Rækker, overlap og størrelsesbaserede chunks","DESCRIPTION":"Det er de hurtigste split-modes og som regel de sikreste, når du bare har brug for mindre filer.","PARAGRAPHS":["Rækker pr. fil giver hvert output omtrent samme antal rækker. Det er bedst, når downstream-værktøjer går op i batch-størrelse, ikke kategori eller betydning.","Overlap-rækker gentager nogle få rækker ved grænsen mellem filer. Brug det kun, når næste batch har brug for lidt kontekst fra den forrige.","Hold grupperede rækker samlet forhindrer værktøjet i at splitte den samme account, virksomhed eller ordre på tværs af flere filer. Det er vigtigt, når rækker, der tilhører samme enhed, skal holdes samlet.","Maks. størrelse pr. fil er til upload-grænser. Den forsøger at holde sig under et byte-mål, men rækkelængder kan variere, så den sidste fil eller nogle filer kan stadig føles mindre jævne end række-baserede chunks."]},{"ID":"csv-splitter-help-column-values","EXTRA_IDS":["csv-splitter-help-rare-values","csv-splitter-help-large-groups"],"ICON":"split","TITLE":"Grupperede outputs og sjældne værdier","DESCRIPTION":"Værdibaserede opdelinger er bedst, når én CSV pr. land, ejer, status eller kilde gør resultatet lettere at gennemgå eller overdrage.","PARAGRAPHS":["Opdel efter kolonne(r) opretter ét output pr. unik værdi eller værdikombination. Én kolonne giver enklere outputs; to eller flere kolonner skaber mere granulære filer.","Håndtering af sjældne værdier hjælper, når enkeltstående værdier ville skabe for mange bittesmå filer. Du kan beholde kun de største grupper og samle resten i en “other”-bucket.","Opdel også store grupper efter filstørrelse er nyttigt, når én kategori er meget større end resten. Det bevarer grouping-logikken, men forhindrer, at én kæmpefil dominerer exporten."]},{"ID":"csv-splitter-help-rules","EXTRA_IDS":["csv-splitter-help-unmatched"],"ICON":"rules","TITLE":"Regler, første match og unmatched rows","DESCRIPTION":"Regelbaseret opdeling er nyttig, når filernes destination afhænger af business logic i stedet for én simpel grouping column.","PARAGRAPHS":["Kun første match betyder, at en række stopper ved den første regel, den matcher. Slå det kun fra, hvis du bevidst vil have den samme række kopieret til flere outputfiler.","Behold unmatched rows i en separat fil sikrer, at rækker, som ikke opfylder nogen af dine regler, stadig bliver bevaret i deres egen export.","Filnavn til unmatched rows er ganske enkelt navnet på den catch-all-fil. Det hjælper, når du vil have et tydeligt output som <code>needs-review.csv</code> eller <code>no-rule-match.csv</code>."]},{"ID":"csv-splitter-help-date-splits","EXTRA_IDS":["csv-splitter-help-date-format","csv-splitter-help-invalid-dates","csv-splitter-help-export-settings","csv-splitter-help-projection"],"ICON":"dates","TITLE":"Datoer, export-indstillinger og renere outputfiler","DESCRIPTION":"Disse indstillinger er vigtige, når input er rodet, eller når de eksporterede filnavne skal passe ind i et eksisterende workflow.","PARAGRAPHS":["Datoformat er der til tvetydige datokolonner. Hvis detektoren gætter forkert, så tving det forventede format før grouping efter måned, år eller uge.","Ugyldige datoer lader dig beslutte, om dårlige værdier skal springes over eller flyttes til en separat fil. Det er mere sikkert end at miste rækker i stilhed.","Filnavnsmønster styrer de endelige outputnavne. Brug variabler som <code>{index}</code> og <code>{label}</code>, når dine batches har brug for forudsigelig nummerering.","Kolonner, der skal beholdes i outputtet fjerner unødvendige kolonner før opdelingen. Det gør exports lettere og renere, især når den oprindelige CSV har hjælpekolonner, du ikke vil have downstream."]}],"EDGE_TITLE":"Edge cases dette værktøj håndterer","EDGE_DESC":"Virkelige CSV-exports er sjældent rene. Dette værktøj er bygget til at håndtere de irriterende tilfælde, som normalt ødelægger simplere splitters.","EDGE_CASES":[{"ICON":"shield","TITLE":"Quoted cells, indlejrede kommaer og linjeskift","DESCRIPTION":"Rækker bliver ikke splittet, bare fordi en quoted cell indeholder et komma eller et linjeskift.","BODY":"Parseren holder quoted CSV-værdier intakte, så adresser, noter eller lange tekstfelter ikke bliver brudt op i falske rækker under opdelingen."},{"ICON":"files","TITLE":"Duplikerede headers, tomme kolonner og projiceret output","DESCRIPTION":"Rodede headers og overdimensionerede exports er almindelige i CRM-, finance- og support-exports.","BODY":"Duplikerede headers normaliseres, så sammenligninger stadig virker. Tomme kolonner kan identificeres, og projection lader dig fjerne kolonner før generering af outputs."},{"ICON":"rows","TITLE":"Store filer og lazy preview","DESCRIPTION":"Preview skal hjælpe dig med at beslutte, ikke blokere dig fra at behandle store filer.","BODY":"Ved store række-baserede opdelinger kan værktøjet holde preview let og kun preloade den første outputfil. Sekundære previews og downloads materialiseres on demand."},{"ICON":"dates","TITLE":"Ugyldige datoer, unmatched rules og ujævne grupper","DESCRIPTION":"Splitteren holder edge-case-rækker synlige i stedet for stille og roligt at kassere dem.","BODY":"Rækker med ugyldige datoer kan komme i en separat fil, rækker der ikke matcher nogen regel kan beholdes i deres egen export, og grupperede opdelinger kan advare dig, når ét segment er meget større end resten."}],"EXAMPLES":{"COUNTRY":{"TITLE":"Opdel efter land eller status","DESCRIPTION":"Brug opdeling efter grupperede værdier, når du vil have én CSV pr. land, ejer, status, kilde eller ethvert felt med lav kardinalitet."},"RULES":{"TITLE":"Byg regelbaserede outputfiler","DESCRIPTION":"Betingede regler lader dig definere praktiske destinationer såsom enterprise accounts, Gmail-adresser eller fallback-rækker, der ikke matcher noget."},"INPUT_LABEL":"Input","OUTPUT_LABEL":"Output"},"FAQ_ITEMS":[{"QUESTION":"Kan jeg opdele en CSV efter kolonneværdi?","ANSWER":"Ja. Vælg én eller flere kolonner, preview antallet af grupper, sæt eventuelt et loft over antallet af outputfiler, og saml sjældne værdier i en “other”-fil."},{"QUESTION":"Kan jeg opdele en CSV efter filstørrelse?","ANSWER":"Ja. Angiv et byte-mål pr. fil. Det er nyttigt, når et andet værktøj har upload-grænser. Preview advarer, når rækkelængder varierer for meget til pålidelige estimater."},{"QUESTION":"Kan jeg opdele en CSV efter måned eller år?","ANSWER":"Ja. Vælg en datokolonne, vælg måned, år eller ISO-uge, og beslut, om ugyldige datoer skal i deres egen fil eller springes over."},{"QUESTION":"Laver værktøjet et ZIP-arkiv?","ANSWER":"Ja. Opdelinger med ét output downloades som en CSV. Opdelinger med flere filer downloades som en ZIP, så store segmenterede exports forbliver håndterbare."}],"FAQ_TITLE":"FAQ"},"ToolsDomainFinder":{"CONTENT":{"META_TITLE":"Gratis søgning fra virksomhedsnavn til domæne | Datablist","META_SOCIAL_TITLE":"Gratis søgning fra virksomhedsnavn til domæne","META_DESCRIPTION":"Indsæt op til 10 virksomhedsnavne, og find deres websites med det samme. Gratis og uden krav om betalingskort.","HERO":{"TITLE":"Find domæner ud fra virksomhedsnavne","DESCRIPTION":"Indsæt en liste med virksomhedsnavne, og få deres websites på få sekunder. Gratis og uden krav om betalingskort."},"PROOF":{"TITLE":"Baseret på reelle data – ikke gætteri","EYEBROW":"Hvad databasen rent faktisk indeholder","BODY":"Det samme virksomhedsdatasæt, som ligger bag Datablists betalte produkt til data enrichment, krydstjekket med kendte relationer mellem moderselskaber og datterselskaber, så et match ikke ubemærket peger på det forkerte brand.","STATS":[{"value":"85%+","label":"matchrate"},{"value":"3","label":"søgemetoder"},{"value":"32M","label":"virksomheder"}]},"SOCIAL":{"TITLE":"Betroet af startups og store virksomheder","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Indsæt din liste","body":"Kopiér virksomhedsnavne fra en CRM-eksport, en kolonne i et regneark eller en ufærdig leadliste, og indsæt dem i vores gratis værktøj til at finde domæner ud fra virksomhedsnavne. Vi opdeler automatisk ved linjeskift eller kommaer og fjerner identiske dubletter."},{"step":2,"title":"Vi tjekker databasen og derefter Google","body":"Hvert navn matches med Datablists egen virksomhedsdatabase – det samme datasæt, som ligger bag vores betalte produkt til data enrichment. Hvis databasen ikke giver et sikkert match, foretager vi en live Google-søgning. Vi vælger ikke bare det første resultat: Hver kandidat vurderes ud fra, hvor godt den matcher den ønskede virksomhed, så en katalogside eller en nyhedsartikel om virksomheden ikke returneres som dens website."},{"step":3,"title":"Hvert resultat får en sikkerhedsvurdering","body":"Ikke alle domænematches er lige sikre, så hver række vurderes som Høj, Middel eller Lav ud fra, hvor tæt navnet matchede, og hvordan domænet blev fundet. Rækker med høj sikkerhed kan bruges med det samme. Resultater med middel eller lav sikkerhed bør gennemgås hurtigt, før de føjes til en outreach-liste."}],"FLOW":["Virksomhedsdatabase","intet sikkert match","live Google-søgning","verificeret resultat"],"CTA":{"TITLE":"500 gratis søgninger – intet betalingskort","BODY":"Med en gratis konto fjernes grænsen på 10 navne, og du får 500 credits til at begynde med.","LABEL":"Opret en gratis konto"}},"USE_CASES":{"TITLE":"Anvendelsesmuligheder","ITEMS":[{"title":"Personalisering af kold outreach","body":"Find websitet, før du skriver din email, så din indledning henviser til noget konkret.","ctaLabel":"Guide til personalisering af kolde emails","ctaHref":"https://www.datablist.com/how-to/cold-email-personalization-tactics"},{"title":"Berigelse af leadlister","body":"Udfyld manglende domæner på en liste over potentielle kunder, før den overføres til dit CRM eller sequencer-værktøj.","ctaLabel":"Guide til berigelse af leadlister","ctaHref":"https://www.datablist.com/how-to/lead-list-building-guide"},{"title":"CRM-oprydning","body":"Knyt en isoleret virksomhedsregistrering til dens rigtige website igen.","ctaLabel":"Guide til CRM-rensning","ctaHref":"https://www.datablist.com/how-to/clean-enrich-refresh-data-crm"},{"title":"Research af nichevirksomheder","body":"Find websites for mindre eller nyere virksomheder, som generelle søgemaskiner og forældede databaser overser.","ctaLabel":"Guide til virksomhedsresearch","ctaHref":"https://www.datablist.com/how-to/chatgpt-search-on-spreadsheet"}]},"COMPARISON":{"TITLE":"Datablist sammenlignet med andre domæneværktøjer","HEADERS":["Værktøj","Månedlig pris","Pris pr. domæne","Bedst til"],"ROWS":[{"tool":"Datablist","cost":"$$25","perDomain":"$$0.005","bestFor":"Prisvenlig opbygning af leadlister og data enrichment i stor skala","favicon":"/free-tools/domain-finder/tool-favicons/datablist.png"},{"tool":"Company URL Finder","cost":"$$49","perDomain":"$$0.049","bestFor":"Teams, der allerede arbejder i Google Sheets","favicon":"/free-tools/domain-finder/tool-favicons/company-url-finder.png"},{"tool":"CUFinder","cost":"$$49","perDomain":"$$0.049","bestFor":"Omfattende API-integrationer","favicon":"/free-tools/domain-finder/tool-favicons/cufinder.png"},{"tool":"Clay","cost":"$$185","perDomain":"$$0.0745","bestFor":"Komplekse workflows til data enrichment","favicon":"/free-tools/domain-finder/tool-favicons/clay.png"},{"tool":"Phantombuster","cost":"$$69","perDomain":"Variabel","bestFor":"Eksisterende Phantombuster-brugere","favicon":"/free-tools/domain-finder/tool-favicons/phantombuster.png"},{"tool":"Marcom Robot","cost":"$$59","perDomain":"$$0.059","bestFor":"Begrænsede anvendelsesmuligheder","favicon":"/free-tools/domain-finder/tool-favicons/marcom-robot.png"},{"tool":"BuiltWith","cost":"$$295","perDomain":"Premium","bestFor":"Teknologibaseret prospektering","favicon":"/free-tools/domain-finder/tool-favicons/builtwith.png"}],"NOTE":"Priserne er hvert værktøjs billigste betalte abonnement med månedlig fakturering og blev kontrolleret på udbyderens egen prisside i september 2026. Prisen pr. domæne er beregnet ud fra det antal søgninger, som abonnementet inkluderer.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"https://www.datablist.com/pricing"},{"n":2,"label":"Company URL Finder-abonnementer","href":"https://companyurlfinder.com/plans"},{"n":3,"label":"CUFinder-priser","href":"https://cufinder.io/pricing"},{"n":4,"label":"Clay-priser","href":"https://www.clay.com/pricing"},{"n":5,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":6,"label":"Marcom Robot-priser","href":"https://www.marcomrobot.com/data-enrichment/pricing"},{"n":7,"label":"BuiltWith-abonnementer","href":"https://builtwith.com/plans"}],"CTA":{"TITLE":"Stop med at betale pr. domæne","BODY":"Datablist koster $0.005 pr. domæne. Start gratis med 500 credits og uden betalingskort.","LABEL":"Opret en gratis konto"}},"RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i større mængder?","ENRICHMENT":{"label":"Domain Finder enrichment","href":"https://www.datablist.com/enrichments/find-domain-for-company-name-bulk","blurb":"Behandl et helt regneark i stedet for ti navne ad gangen med den samme matching, der først bruger databasen og derefter Google."},"TOOLS":[{"label":"Sales Navigator Scraper","href":"https://www.datablist.com/tools/sales-navigator-scraper","blurb":"Få leads fra en søge-URL uden at bruge din LinkedIn-konto."},{"label":"Gratis Email Finder","href":"https://www.datablist.com/tools/email-finder","blurb":"Find arbejds-emails ud fra et navn og en virksomhed."},{"label":"Rensning af virksomhedsnavne","href":"https://www.datablist.com/tools/company-name-cleaner","blurb":"Fjern juridiske selskabsendelser, og ret brugen af store og små bogstaver med AI-værktøjet."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"Hvor mange domæner kan jeg søge efter gratis?","answer":"10 navne pr. kørsel – uden konto og uden betalingskort. Kør værktøjet igen, når du har brug for det, inden for rimelige brugsgrænser, der forhindrer automatiseret brug i stor skala."},{"question":"Hvad gør jeg, hvis jeg skal behandle mere end 10 ad gangen?","answer":"Opret en gratis konto, så forsvinder grænsen på 10 navne. Du starter med 500 gratis credits, så du straks kan teste større batches. Til regelmæssig bulkbrug giver Starter-abonnementets 5,000 månedlige credits god dækning til $0.005 pr. domænematch i databasen eller $0.0125 pr. Google-søgning."},{"question":"Hvad skete der med Clearbits gratis Name to Domain API?","answer":"Det blev udfaset den 30. april 2025. Dette værktøj er en selvstændig drop-in-erstatning med en sikkerhedsvurdering for hver række – noget Clearbit aldrig havde."},{"question":"Kan jeg bruge dette værktøj via et API?","answer":"Ja, Datablist tilbyder et API fra virksomhedsnavn til domæne, som gør det muligt at finde en virksomheds website programmatisk. Se implementeringsguiden til API'et på datablist.com/how-to/company-name-to-domain-api-enrichment for opsætningstrin."}]},"BREADCRUMB_CURRENT":"Domænesøgning","SCHEMA_NAME":"Datablists gratis søgning fra virksomhedsnavn til domæne","SCHEMA_DESCRIPTION":"Gratis onlineværktøj til at finde domæner ud fra virksomhedsnavne. Indsæt en liste med virksomhedsnavne, og få deres websites med en sikkerhedsvurdering for hvert match."},"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 liste","DESCRIPTION":"Indsæt op til 10 virksomhedsnavne, og find deres domæner på få sekunder.","PLACEHOLDERS":["Datablist","Celonis","Virksomhedsnavn"],"ROW_LABEL":"Virksomhedsnavn, række {number}","REMOVE_ROW":"Fjern række {number}","ADD_ROW":"Tilføj endnu en række","ROW_LIMIT":"Du har nået gratisværktøjets grænse på 10 rækker.","EMPTY":"Indsæt eller skriv et virksomhedsnavn for at komme i gang","READY_ONE":"1 navn er klar","READY_MANY":"{count} navne er klar","FIND_ONE":"Find domæne","FIND_MANY":"Find domæner","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Eksempelresultater · Disse ti eksempler er kun vejledende. Sikkerhedsvurderingerne er eksempler og ikke live-scorer. Der blev ikke brugt nogen credits.","REJECTED_ONE":"1 post lignede ikke et virksomhedsnavn og blev sprunget over.","REJECTED_MANY":"{count} poster lignede ikke virksomhedsnavne og blev sprunget over.","OVERFLOW":"Du indsatte {count} navne – kun de første 10 blev behandlet gratis. Den gratis prøveperiode dækker op til 500 søgninger (1 credit pr. søgning).","PROCESS_ALL":"Behandl alle {count}","NUMBER":"#","COMPANY_NAME":"Virksomhedsnavn","DOMAIN":"Domæne","CONFIDENCE":"Sikkerhed","STATUS":"Status","NO_MATCH":"Intet match fundet","COPY_ROW":"Kopiér domæne for {name}","START_OVER":"Start forfra","COPY_ALL":"Kopiér alle","DOWNLOAD_CSV":"Download CSV","DOWNLOAD_FILENAME":"domains.csv","HIGH":"Høj","MEDIUM":"Middel","LOW":"Lav","VERY_LOW":"Meget lav","PRIVACY":"Dine navne og resultater er tilgængelige i denne browser i 24 timer. Datablist opbevarer opgavedata længere for at kunne gennemføre og understøtte søgningen.","UNAVAILABLE":"Denne søgning er midlertidigt utilgængelig. Du kan stadig bruge Datablist-appen.","QUOTA_REACHED":"Du har brugt din daglige kvote til dette gratis værktøj. Kom tilbage om {hours} t. {minutes} min., eller fortsæt i Datablist.","QUOTA_RUN_TOO_LARGE":"Denne søgning overstiger din resterende daglige kvote til dette gratis værktøj. Prøv med færre navne, eller kom tilbage om {hours} t. {minutes} min.","QUOTA_REMAINING":"{remaining} af {limit} credits tilbage i dag","QUOTA_REDUCE":"{remaining} credits tilbage i dag. Prøv med færre navne.","QUOTA_WAIT":"Den daglige kvote er brugt. Kom tilbage om {hours} t. {minutes} min.","CHALLENGE_REQUIRED":"Gennemfør verificeringen, før du starter søgningen.","RUN_FAILED":"Søgningen kunne ikke gennemføres. Prøv igen senere.","SUBMISSION_UNKNOWN":"Vi kontrollerer, om din søgning er startet. Genindlæs denne side for at kontrollere dens status, og undlad at indsende den igen.","RETRY_STATUS":"Vi kunne ikke kontrollere søgningen lige nu. Genindlæs denne side for at prøve igen.","EXPIRED":"Dette resultat er ikke længere tilgængeligt i denne browser.","BANNER":"Opret en gratis konto, og få 500 gratis søgninger fra virksomhedsnavn til domæne – intet betalingskort påkrævet.","BANNER_CTA":"Få 500 gratis credits","RESULT_CTA":"Tilmeld dig en gratis prøveperiode, og få 500 gratis søgninger fra virksomhedsnavn til domæne!","RESULT_CTA_BUTTON":"Start gratis prøveperiode","CSV_NAME":"Navn","LOADING":"Indlæser","ERROR":"Fejl","COMPLETE":"Fuldført","HISTORY_TITLE":"Dine seneste søgninger","HISTORY_DESCRIPTION":"Åbn eller fjern en søgning fra denne browser, mens resultaterne er tilgængelige, i op til 24 timer. Hvis du fjerner den her, stopper det ikke søgningen, og dine credits gendannes ikke.","HISTORY_REMOVE":"Fjern {name} fra denne browser","HISTORY_COMPLETE":"Fuldført","HISTORY_FAILED":"Kræver opmærksomhed","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"I gang","COPY_ERROR":"Kopieringen mislykkedes. Prøv igen, eller download CSV-filen.","DEBUG_NOTICE":"Debugresultater fra beta-handlingen. Dette er testdata og ikke en søgning på den indsendte person.","MORE_OPTIONS":"Flere indstillinger","COUNTRY_LABEL":"Målland","COUNTRY_HELP":"Begræns virksomhedsdatasættet og Google-søgningen, der bruges som fallback, til et bestemt land.","ALL_COUNTRIES":"Alle lande","RUN_OPTIONS":"Kørselsindstillinger","OPTION_ON":"Til","OPTION_OFF":"Fra"}},"ToolsSalesNavigatorScraper":{"CONTENT":{"META_TITLE":"Gratis Sales Navigator Scraper | Datablist","META_SOCIAL_TITLE":"Gratis Sales Navigator Scraper","META_DESCRIPTION":"Indsæt URL'en til en Sales Navigator-søgning, og se en gratis forhåndsvisning af leads. Intet LinkedIn-login, ingen cookies og intet session-ID, så din konto aldrig er i fare.","SCHEMA_NAME":"Datablists gratis Sales Navigator Scraper","SCHEMA_DESCRIPTION":"Gratis online Sales Navigator Scraper. Indsæt en søge-URL, og se en forhåndsvisning af leads uden at forbinde en LinkedIn-konto – ingen cookies eller session-ID er nødvendige.","BREADCRUMB_CURRENT":"Sales Navigator Scraper","HERO":{"TITLE":"Prøv markedets sikreste Sales Navigator Scraper gratis!","DESCRIPTION":"Indsæt en søge-URL, og se en forhåndsvisning af leads med det samme."},"SAFETY":{"TITLE":"Derfor udsætter dette ikke din konto for risiko","ITEMS":[{"safe":true,"label":"Datablist","body":"Kræver kun én ting: din søge-URL. Ingen loginoplysninger, cookies, session-ID eller browserudvidelse."},{"safe":false,"label":"Chrome-udvidelser","body":"Evaboot, Skrapp og lignende værktøjer automatiserer klik i din aktive session. LinkedIns brugeraftale forbyder dette, og det er din konto, der bærer risikoen."},{"safe":false,"label":"Cookie-baserede cloudværktøjer","body":"Phantombuster og de fleste Apify actors beder dig indsætte din li_at-sessionscookie. Det svarer til at overdrage din aktive session til en tredjepart."}]},"SOCIAL":{"TITLE":"Betroet af startups og store virksomheder","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Kør din søgning i Sales Navigator","body":"Filtrér efter stillingsbetegnelse, anciennitet, lokation, antal medarbejdere, branche eller et hvilket som helst andet Sales Navigator-filter, indtil resultatlisten matcher den målgruppe, du rent faktisk ønsker. Kopiér derefter URL'en direkte fra adresselinjen."},{"step":2,"title":"Indsæt URL'en her","body":"Denne URL er det eneste, vi skal bruge. Intet login, ingen adgangskode, ingen browserudvidelse og ingen sessionscookie kopieret fra dine devtools. Vi fjerner de kontospecifikke parametre, som Sales Navigator tilføjer, før URL'en sendes videre, fordi vi hverken ønsker eller bruger dem."},{"step":3,"title":"Vi scraper fra vores egen infrastruktur","body":"Udtrækket kører på Datablists servere og aldrig gennem din LinkedIn-session. Derfor kan intet spores tilbage til din konto eller tælle med i dine aktivitetsgrænser på LinkedIn. Du får en ren tabel retur, som er klar til at blive beriget med emails eller sendt til dit CRM."}],"CTA":{"TITLE":"Scrape en hel søgning – ikke kun ti leads","BODY":"En gratis konto starter med 500 credits og forbindes aldrig til din LinkedIn-konto.","LABEL":"Opret en gratis konto"}},"USE_CASES":{"TITLE":"Use cases","ITEMS":[{"title":"Opbygning af en leadliste fra bunden","body":"Omdan en velafgrænset Sales Navigator-søgning til en ren, deduplikeret liste, du rent faktisk kan arbejde med, i stedet for manuelt at bladre gennem resultaterne.","ctaLabel":"Guide til opbygning af leadlister","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Find emails til de leads, du scraper","body":"Et navn og en stillingsbetegnelse er ikke nok til at tage kontakt. Kør den scrapede liste gennem en waterfall email finder, der tjekker mere end 20 udbydere, før den opgiver at finde en kontakt.","ctaLabel":"Find emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Eksportér en hel søgning på én gang","body":"Hvis du manuelt bladrer gennem resultaterne i Sales Navigator, ender du med højst nogle få dusin leads. Det er eksporten af hele søgningen på én gang, der gør det værd at opbygge en liste.","ctaLabel":"Eksportér leads fra Sales Navigator","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"Scraping uden risiko for at blive udelukket","body":"Hvis du har udskudt scraping, fordi du ikke vil risikere at miste dit netværk, er dette workflowet, der helt fjerner risikoen for din konto.","ctaLabel":"Guide til sikker scraping","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Sammenligning af Sales Navigator scrapers","INTRO":"Alle de andre værktøjer nedenfor kører scrapingen gennem din egen LinkedIn-session ved hjælp af en udvidelse eller en sessionscookie, som du udleverer. Datablist er det eneste værktøj, der slet ikke opretter forbindelse til din konto.","HEADERS":["Værktøj","Din LinkedIn-konto","Hvad det kræver af dig","Startpris","Pris pr. lead","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["Opretter aldrig forbindelse til den","En søge-URL","$$25/md.","$$0.05","Ja, mere end 20 udbydere"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["I fare","Udvidelse på din konto","$$39/md.","$$0.039","Ja"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["I fare","Udvidelse på din konto","$$9/md.","$$0.09","Ja"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["I fare","Din sessionscookie","$$69/md.","Varierer","Ja"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["I fare","Din sessionscookie","$$19/md.","Varierer","Nej"]}],"NOTE":"Priserne er hvert værktøjs billigste betalte abonnement med månedlig fakturering, kontrolleret på udbyderens egen prisside i september 2026. Prisen pr. lead er beregnet ud fra det antal leads, abonnementet inkluderer.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"/pricing"},{"n":2,"label":"Skrapp-priser","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evaboot-priser","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apify-priser","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Det eneste værktøj, der ikke rører din konto","BODY":"Start gratis med 500 credits. Ingen udvidelse, ingen sessionscookie og intet betalingskort.","LABEL":"Opret en gratis konto"}},"RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i stor skala?","ENRICHMENT":{"label":"Sales Navigator Scraper","href":"/sources/linkedin-search-scraper","blurb":"Scrape en hel søgning i stedet for kun en forhåndsvisning med ti leads – stadig uden at forbinde din LinkedIn-konto."},"TOOLS":[{"label":"Gratis Domain Finder","href":"/tools/domain-finder","blurb":"Find websites ud fra virksomhedsnavne, inklusive en vurdering af sikkerheden."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Find arbejds-emails ud fra et navn og en virksomhed."},{"label":"Rensning af virksomhedsnavne","href":"/tools/company-name-cleaner","blurb":"Fjern juridiske selskabsbetegnelser, og ret brugen af store og små bogstaver med AI-værktøjet."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"Skal jeg have et Sales Navigator-abonnement?","answer":"Ja. Det er Sales Navigators avancerede filtre, der genererer den søge-URL, som værktøjet læser, så du skal have et aktivt abonnement for at oprette en. Du behøver ikke at give os adgang til det."},{"question":"Hvordan kan dette være sikkert, når andre scrapers ikke er det?","answer":"Alle de andre værktøjer i sammenligningen ovenfor kører scrapingen gennem din egen aktive LinkedIn-session via en browserudvidelse eller en sessionscookie, som du indsætter. LinkedIns brugeraftale forbyder dette, og det er din konto, der rammes af håndhævelsen. Datablist læser kun søge-URL'en og foretager udtrækket fra sin egen infrastruktur, så intet kan spores tilbage til dig."},{"question":"Hvad koster en komplet scraping?","answer":"20 credits pr. lead, når intet er forbundet til din LinkedIn-konto, eller 10, hvis du vælger at forbinde din egen. Datablist starter ved $25 om måneden med månedlig fakturering og inkluderer 5,000 credits pr. måned."},{"question":"Har Datablists Sales Navigator Scraper nogen begrænsninger?","answer":"Ja. Den kan ikke scrape søgninger, der indeholder kontospecifikke filtre som \"Følger din virksomhedsside\", gemte lister eller noget, der er synkroniseret fra dit CRM, fordi disse data ligger bag dit personlige login, som vi ikke opretter forbindelse til."}]}},"TOOL":{"LABEL":"URL'en til din Sales Navigator-søgning","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"Intet LinkedIn-login, ingen cookies og intet session-ID. Vi opretter aldrig forbindelse til din konto.","SUBMIT":"Scrape leads","BUSY":"Scraper","RESULTS":"Her er de første {count} leads fra din søgning – gratis.","NAME":"Navn","JOB_TITLE":"Stilling","COMPANY":"Virksomhed","LOCATION":"Lokation","COPY":"Kopiér","COPIED":"Kopieret","DOWNLOAD":"Download CSV","NOTE":"Den gratis forhåndsvisning viser {count} leads uden kontaktoplysninger. Emails og profil-URL'er kommer fra Datablists enrichments, når du kører den komplette scraping.","ERROR_EMPTY":"Indsæt en URL til en Sales Navigator-søgning for at komme i gang.","ERROR_URL":"Det ligner ikke en URL.","ERROR_HOST":"Dette link peger på {host}, ikke LinkedIn.","ERROR_PROFILE":"Dette er en enkelt LinkedIn-profil, ikke en søgning.","ERROR_RECORD":"Dette er en enkelt Sales Navigator-post, ikke en søgning.","ERROR_SEARCH":"Dette er et LinkedIn-link, men ikke en Sales Navigator-søgning.","ERROR_FAILURE":"Scrapingen blev ikke gennemført. Prøv igen om et øjeblik.","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"Scrape hele listen","ERROR_HINTS":{"url":"Åbn din søgning i Sales Navigator, og kopiér adressen fra adresselinjen.","host":"Sales Navigator-URL'er starter med linkedin.com/sales/search/","profile":"Kør først en søgning i Sales Navigator, og kopiér derefter URL'en.","record":"Gå tilbage til dine søgeresultater, og kopiér URL'en derfra.","search":"Se 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":"Derfor er en waterfall bedre end et enkelt opslag","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":"Startups og store virksomheder har tillid til os","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Give us a name and a company","body":"First name, last name, and either the company name or its domain. A domain is more reliable, because it skips the step of working out which business the name refers to. If you only have a LinkedIn profile, select LinkedIn URL and paste that instead."},{"step":2,"title":"We run a waterfall, not a single lookup","body":"Datablist tries available work-email providers in sequence and stops when an address is found. The free tool uses the synchronous waterfall; larger lists and the full workflow are available in the Datablist app."},{"step":3,"title":"You see what was actually found","body":"Copy the address or download the result as CSV. If no email is found, the reserved credits return to your daily allowance once the task settles. Your results can be reopened in this browser for 24 hours."}],"CTA":{"TITLE":"Find emails for a full list","BODY":"En gratis konto starter med 500 credits og kan behandle en hel liste på én gang.","LABEL":"Opret en gratis konto"}},"USE_CASES":{"TITLE":"Anvendelsesmuligheder","ITEMS":[{"title":"Opbyg en leadliste med kontaktbare personer","body":"Et navn og en virksomhed er ikke nok til at kontakte nogen. Først når du omdanner en scrapet eller eksporteret liste til en liste, du kan sende emails til, får den reel værdi.","ctaLabel":"Find emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Udfyld hullerne i en eksisterende liste","body":"De fleste eksporter er kun delvist udfyldt. Kør kun de rækker, der mangler en adresse, og betal intet for dem, der ikke giver noget resultat.","ctaLabel":"Opret en leadliste med emails","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"Brug dine egne udbydernøgler","body":"Betaler du allerede for Hunter, Dropcontact eller lignende? Kør waterfall-søgningen med dine egne nøgler, og spring Datablists credit-system helt over.","ctaLabel":"Tilpasset Waterfall Email Finder","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"Tilpas indholdet, før du sender","body":"En verificeret adresse er begyndelsen, ikke slutningen. Det afgørende for, om en email virker, er, om den første linje lyder, som om den er skrevet til netop denne person.","ctaLabel":"Personalisering af cold emails","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"Hvad 1.000 fundne emails reelt koster","INTRO":"Priser pr. credit skjuler det vigtigste: hvad du betaler for 1.000 adresser, du rent faktisk kan sende til. Hunter er billigere pr. email, fordi værktøjet søger i ét indeks. En waterfall koster mere pr. opslag og finder de personer, som en enkelt kilde ikke har. Blandt waterfall-løsningerne er Datablist den billigste.","HEADERS":["Værktøj","Pris pr. 1.000 emails","Sådan finder værktøjet dem","Ingen resultater"],"BEST_LABEL":"Laveste pris blandt alle waterfall-løsninger","BEST_LABEL_MOBILE":"{cost} · laveste pris blandt alle waterfall-løsninger","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"Indeks med én kilde","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"Waterfall med 20+ udbydere","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"Waterfall med 20+ udbydere","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"Waterfall med 20+ udbydere","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"Egen database","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150+ integrationer","misses":"Ingen betaling","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"Kun tilbud","approach":"Egen database","misses":"Ikke offentliggjort","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"Kun tilbud","approach":"Egen database","misses":"Ikke offentliggjort","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"Pris pr. 1.000 fundne emails baseret på Datablists egen offentliggjorte sammenligning og hver udbyders prisside, kontrolleret i september 2026. Alle de viste værktøjer tager kun betaling for adresser, de finder, så priserne kan sammenlignes. Udbydere med priser baseret på tilbud offentliggør ikke deres takster.","SOURCES":[{"n":1,"label":"Datablists CPME-analyse","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablist-priser","href":"/pricing"},{"n":3,"label":"Hunter.io-priser","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContact-priser","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrich-priser","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apollo-priser","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clay-priser","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"Betal kun for de emails, du rent faktisk får","BODY":"Start gratis med 500 credits. Opslag uden resultater koster intet.","LABEL":"Opret en gratis konto"}},"RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i større mængder?","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":"Find websites ud fra virksomhedsnavne med en angivelse af sikkerhedsniveauet."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Hent leads fra en søge-URL uden at bruge din LinkedIn-konto."},{"label":"Company Name Cleaner","href":"/tools/company-name-cleaner","blurb":"Fjern juridiske selskabsendelser, og ret brugen af store og små bogstaver med AI-værktøjet."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"How many emails can I find for free?","answer":"The tool allows 25 credits per UTC day, enough for one found work email. Each search reserves 25 credits while it runs. A search that finds nothing costs no credits after settlement, so you can try again within the remaining allowance. Limits apply to both your browser session and IP address."},{"question":"What happens after my daily allowance is used?","answer":"New searches pause until midnight UTC. The form shows how long you need to wait. Existing results remain available for 24 hours, and you can continue with larger lists in the Datablist app."},{"question":"What does it cost in the Datablist app?","answer":"25 Datablist credits per email found when using the default waterfall. Lookups that come back empty cost nothing. A $20 credit pack is 20,000 credits, which is up to 800 found emails."},{"question":"How is this different from a normal email finder?","answer":"A waterfall tries multiple available providers rather than relying on a single lookup. The free tool returns the address and its deliverability status without exposing provider details. Custom provider keys and larger lists are available in the Datablist app."},{"question":"What do I need to provide?","answer":"Either a first name, last name and company, or a LinkedIn profile URL. A company domain beats a company name, because it removes the guesswork of matching the name to the right business first."},{"question":"Can I search from a LinkedIn profile instead?","answer":"Yes, select LinkedIn URL above the fields and paste the profile URL. It has to be a person's profile (linkedin.com/in/...), not a company page. This is useful when you know who someone is but not where they work."},{"question":"Do you find personal email addresses?","answer":"This tool finds work emails. Datablist has a separate Personal Email Finder enrichment for consumer addresses, which is a different product with different rules around it."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Email Finder","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"Finding emails for a full list?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and find work emails for your contacts. Use names and companies or LinkedIn profile URLs, review the email addresses and their statuses, and export the enriched list.","BULK_CTA":"Explore bulk Email Finder","API_TITLE":"Find work emails from your code","API_DESCRIPTION":"Use the Waterfall Email Finder API to add email lookups to your application or automated workflow. Send a person's name and company or LinkedIn profile URL, then retrieve the email address and its status.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"MODE_LABEL":"Hvordan vil du søge?","MODE_NAME":"Navn + virksomhed","MODE_LINKEDIN":"LinkedIn-URL","FIRST_NAME":"Fornavn","LAST_NAME":"Efternavn","COMPANY":"Virksomhed eller domæne","LINKEDIN":"URL til LinkedIn-profil","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"Et domæne fungerer bedre end et virksomhedsnavn.","HINT_LINKEDIN":"En persons profil, ikke en virksomhedsside.","COPY":"Kopiér","COPIED":"Kopieret","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":"Opret en gratis konto, og få 500 credits – nok til 20 fundne emails. Intet betalingskort påkrævet.","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 af virksomhedsnavne | Datablist","META_SOCIAL_TITLE":"Gratis rensning af virksomhedsnavne","META_DESCRIPTION":"Rens op til 10 virksomhedsnavne pr. kørsel med AI. Standardiser store og små bogstaver samt juridiske virksomhedsformer, og kopiér eller eksportér derefter resultaterne. Ingen tilmelding; der gælder en daglig grænse.","SCHEMA_NAME":"Datablist – gratis rensning af virksomhedsnavne","SCHEMA_DESCRIPTION":"Rens op til 10 virksomhedsnavne pr. kørsel med AI. Standardiser store og små bogstaver samt juridiske virksomhedsformer, og kopiér eller eksportér derefter resultaterne. Ingen tilmelding; der gælder en daglig grænse.","BREADCRUMB_CURRENT":"Rensning af virksomhedsnavne","HERO":{"TITLE":"Standardiser rodede virksomhedsnavne gratis","DESCRIPTION":"Indsæt en liste, ret brugen af store og små bogstaver, og vælg, om juridiske endelser skal bevares. 10 navne pr. kørsel, ingen tilmelding."},"FORMULA":{"TITLE":"Hvorfor ikke bare bruge en formel i et regneark?","QUOTE":"“Du ender med en enorm, indlejret SUBSTITUTE-formel, der går i stykker, hvis den møder en endelse, den ikke genkender.” Det er fælden ved hjemmelavede formler: De kender kun de mønstre, du selv har tænkt på, og hvert nyt format kræver endnu en ændring i noget, der allerede er svært at læse. En AI-baseret renser læser i stedet navnet i sin kontekst. Derfor kan den håndtere en endelse, en bestemt brug af store og små bogstaver eller en brancheforkortelse, som ingen har skrevet en regel for.","HEADERS":["Før","Efter","Hvad det viser"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"STORE BOGSTAVER rettet, endelse fjernet"},{"raw":"müller & söhne gmbh & co. kg","note":"små bogstaver rettet, den sammensatte endelse prioriteres frem for \"GmbH\" alene"},{"raw":"\"Tech Company, INC.\"","note":"omsluttende anførselstegn og endelse fjernet"},{"raw":"SAP","note":"akronym på tilladelseslisten, bevaret præcis som det er"},{"raw":"1234567 Ontario Inc.","note":"et format for nummererede virksomheder; gennemgå det rensede navn, før du bruger det"}],"NOTE":"Eksemplerne er vejledende. AI-renseren returnerer et renset virksomhedsnavn; den returnerer ikke konfidensscores eller forklaringer. Gennemgå vigtige navne, før du bruger dem.","REVIEW":"Gennemgå"},"FIXES":{"TITLE":"Det retter værktøjet","ITEMS":[{"icon":"Scissors","title":"Fjernelse af juridiske endelser","body":"AI-renseren kan fjerne juridiske virksomhedsformer som Inc., LLC, Ltd., GmbH og SAS, samtidig med at det genkendelige virksomhedsnavn bevares."},{"icon":"CaseSensitive","title":"Rettelse af store og små bogstaver","body":"Værktøjet standardiserer inkonsekvent brug af store og små bogstaver og kan bevare genkendelige navne og forkortelser."},{"icon":"Eraser","title":"Mellemrum, anførselstegn og tegnsætning","body":"Fjerner dobbelte mellemrum og omsluttende anførselstegn fra indsættelser fra regneark samt det afsluttende komma eller punktum, der står tilbage, når en endelse er fjernet."},{"icon":"CopyCheck","title":"Sammenlign før og efter","body":"Sammenlign de oprindelige og rensede navne, før du kopierer resultaterne eller downloader en CSV-fil."}]},"SOCIAL":{"TITLE":"Virksomheder og startups har tillid til os","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Indsæt din liste","body":"Ét virksomhedsnavn pr. linje, op til 10 pr. kørsel. Fungerer med data direkte fra en CRM-eksport, en scraped leadliste eller en kolonne i et regneark – også med rodet brug af store og små bogstaver og juridiske endelser. Grænsen er der, fordi hvert navn koster credits at behandle, ikke fordi værktøjet har problemer med flere."},{"step":2,"title":"Værktøjet standardiserer hvert navn","body":"AI-renseren returnerer et renset navn, så du kan sammenligne det med originalen. Den returnerer ikke konfidensscores eller forklaringer."},{"step":3,"title":"Kopiér eller download resultatet","body":"Kopiér de standardiserede navne direkte til udklipsholderen, eller download hele sammenligningen som en CSV-fil med det oprindelige navn, det rensede navn og resultatstatus for hver række."}],"CTA":{"TITLE":"Rens mere end 10 ad gangen","BODY":"En gratis konto inkluderer 500 credits fra start, nok til 1,000 virksomhedsnavne.","LABEL":"Opret en gratis konto"}},"USE_CASES":{"TITLE":"Anvendelsesmuligheder","ITEMS":[{"title":"Standardisering af navne, før de kommer ind i dit CRM","body":"Fang inkonsekvent brug af store og små bogstaver og juridiske endelser, før dubletter som \"Acme Inc\" og \"ACME Corporation\" hober sig op i den samme pipeline.","ctaLabel":"Sådan standardiserer du virksomhedsnavne","ctaHref":"/how-to/normalize-company-names"},{"title":"Fjernelse af dubletter fra en eksisterende liste","body":"To rækker, der kun adskiller sig ved brugen af store og små bogstaver eller en endelse, opfattes som forskellige virksomheder af de fleste værktøjer. Standardiser først, så bliver dubletterne tydelige.","ctaLabel":"Sådan fjerner du dubletter blandt virksomhedsnavne","ctaHref":"/how-to/dedupe-company-names"},{"title":"Opdatering af en forældet CRM-eksport","body":"I en eksport fra et ældre system har inkonsekvent navngivning typisk hobet sig op. Standardiser den på vej tilbage i systemet i stedet for at tage rodet med videre.","ctaLabel":"Rens, berig og opdater CRM-data","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"Standardisering af en liste før udsendelse af emails","body":"Felter med virksomhedsnavne bruges i personaliseringstokens. Et navn med overflødige anførselstegn eller skrevet med STORE BOGSTAVER er netop den slags detalje, en modtager lægger mærke til.","ctaLabel":"Guide til rensning af emaillister","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"Standardiser din liste gratis","RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i større skala?","ENRICHMENT":{"label":"Berigelse til rensning af virksomhedsnavne","href":"/enrichments/company-name-cleaner","blurb":"Den samme renser uden grænsen på 10 navne, kørt direkte på et datasæt i Datablist. 0.5 credits pr. navn, og gentagne rækker caches i stedet for at blive opkrævet to gange."},"TOOLS":[{"label":"Gratis Domain Finder","href":"/tools/domain-finder","blurb":"Find websites ud fra virksomhedsnavne med en konfidensvurdering."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Få leads fra en søge-URL uden at bruge din LinkedIn-konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Find arbejdsemails ud fra et navn og en virksomhed."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"Er dette gratis værktøj AI-baseret?","answer":"Ja. Det bruger Datablists AI Company Name Cleaner, den samme som ligger bag den betalte berigelse, og som læser kontekst og branchejargon i stedet for at matche mod en fast liste over endelser. Grænsen er 10 navne pr. kørsel, fordi hvert navn koster 0.5 credits at behandle."},{"question":"Hvor mange navne kan jeg standardisere gratis?","answer":"Op til 10 pr. kørsel inden for en daglig grænse på 5 credits pr. browsersession og IP-adresse. Hvert indsendt navn reserverer 0.5 credit; en eventuel ubrugt reservation frigives, når kørslen er færdig. Grænsen nulstilles ved midnat UTC."},{"question":"Returnerer renseren konfidensscores?","answer":"Nej. Den returnerer et renset virksomhedsnavn. Tabellen viser, om det returnerede navn er forskelligt fra dit input. Gennemgå vigtige eller tvetydige navne, før du bruger dem."},{"question":"Hvor sendes de navne hen, som jeg indsætter?","answer":"De sendes til Datablist for at blive standardiseret, fordi renseren er en AI-model, der kører på vores infrastruktur, og ikke et script i din browser. Intet kører, før du trykker på knappen, så du kan se præcis, hvad der blev hentet fra din udklipsholder, før noget af det sendes."},{"question":"Hvad er forskellen på dette og den betalte berigelse?","answer":"Samme renser, forskellig skala. Denne side behandler 10 navne ad gangen uden en konto. Berigelsen kører direkte på et datasæt i Datablist uden en grænse på 10 navne og koster 0.5 credits pr. navn. Du slipper derfor for at eksportere og indsætte igen, og gentagne rækker caches i stedet for at blive opkrævet to gange."},{"question":"Kan jeg standardisere navne, jeg allerede har importeret i Datablist?","answer":"Ja – den betalte berigelse kører direkte på et datasæt i Datablist, så du behøver ikke at eksportere og indsætte igen. Dette gratis værktøj er beregnet til en kort liste, du har ved hånden lige 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 liste","DESCRIPTION":"Indsæt op til 10 virksomhedsnavne for at rette store og små bogstaver samt juridiske virksomhedsformer.","PLACEHOLDERS":["Acme Solutions LLC","MÜLLER & SÖHNE GMBH","Virksomhedsnavn"],"ROW_LABEL":"Virksomhedsnavn, række {number}","REMOVE_ROW":"Fjern række {number}","ADD_ROW":"Tilføj endnu en række","ROW_LIMIT":"Op til 10 virksomhedsnavne pr. kørsel.","EMPTY":"Indsæt eller skriv et virksomhedsnavn for at komme i gang","READY_ONE":"1 navn er klar","READY_MANY":"{count} navne er klar","FIND_ONE":"Rens navn","FIND_MANY":"Rens navne","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Vejledende eksempelresultater. Konfidensvurderingerne er eksempler, ikke aktuelle scores. Denne forhåndsvisning bruger ingen credits.","REJECTED_ONE":"Ét input kunne ikke bruges. Kontrollér formatet.","REJECTED_MANY":"{count} input kunne ikke bruges. Kontrollér deres format.","OVERFLOW":"Du indsatte {count} navne. Op til 10 kan behandles ad gangen.","PROCESS_ALL":"Rens alle {count} navne i Datablist","NUMBER":"#","COMPANY_NAME":"Virksomhedsnavn","DOMAIN":"Domæne","CONFIDENCE":"Konfidens","STATUS":"Status","NO_MATCH":"Intet renset navn blev returneret","COPY_ROW":"Kopiér renset navn","START_OVER":"Start forfra","COPY_ALL":"Kopiér standardiserede navne","DOWNLOAD_CSV":"Download CSV","DOWNLOAD_FILENAME":"rensede-virksomhedsnavne.csv","HIGH":"Høj","MEDIUM":"Mellem","LOW":"Lav","VERY_LOW":"Meget lav","PRIVACY":"Dine input og resultater er tilgængelige i denne browser i 24 timer. Datablist opbevarer opgavedata længere for at gennemføre og understøtte kørslen.","UNAVAILABLE":"Dette gratis værktøj er midlertidigt utilgængeligt. Du kan stadig bruge Datablist-appen.","QUOTA_REACHED":"Du har opbrugt din daglige kvote for dette gratis værktøj. Kom tilbage om {hours} t. {minutes} min., eller fortsæt i Datablist.","QUOTA_RUN_TOO_LARGE":"Denne søgning overstiger din resterende daglige kvote for dette gratis værktøj. Prøv med færre navne, eller kom tilbage om {hours} t. {minutes} min.","QUOTA_REMAINING":"{remaining} af {limit} credits tilbage i dag","QUOTA_REDUCE":"{remaining} credits tilbage i dag. Prøv med færre navne.","QUOTA_WAIT":"Den daglige kvote er opbrugt. Kom tilbage om {hours} t. {minutes} min.","CHALLENGE_REQUIRED":"Gennemfør verificeringen, før du starter søgningen.","RUN_FAILED":"Kørslen kunne ikke gennemføres. Du kan åbne eventuelle tilgængelige resultater eller prøve igen senere.","SUBMISSION_UNKNOWN":"Vi kontrollerer, om din søgning er startet. Genindlæs denne side for at tjekke dens status; indsend den ikke igen.","RETRY_STATUS":"Vi kunne ikke kontrollere søgningen lige nu. Genindlæs denne side for at prøve igen.","EXPIRED":"Dette resultat er ikke længere tilgængeligt i denne browser.","BANNER":"Opret en gratis konto, og få 500 credits – nok til at rense 1,000 virksomhedsnavne. Intet betalingskort nødvendigt.","BANNER_CTA":"Få 500 gratis credits","RESULT_CTA":"Rens større lister i Datablist.","RESULT_CTA_BUTTON":"Åbn Datablist","CSV_NAME":"Navn","LOADING":"Indlæser","ERROR":"Fejl","COMPLETE":"Færdig","HISTORY_TITLE":"Dine seneste søgninger","HISTORY_DESCRIPTION":"Åbn eller fjern en søgning fra denne browser, mens resultaterne er tilgængelige, i op til 24 timer. Hvis du fjerner den her, stopper det ikke søgningen og gendanner ikke credits.","HISTORY_REMOVE":"Fjern {name} fra denne browser","HISTORY_COMPLETE":"Færdig","HISTORY_FAILED":"Kræver opmærksomhed","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"I gang","CLEAN_ONE":"Rens navn","CLEAN_MANY":"Rens navne","NORMALIZE_ALL":"Standardiser alle {count}","ORIGINAL":"Original","NORMALIZED":"Standardiseret","WHAT_CHANGED":"Hvad blev ændret","REVIEW":"Gennemgå","DUPLICATE_OF":"Dublet af “{name}”","NO_CHANGE":"Ingen ændring nødvendig","CHANGES":{"spaces":"Ekstra mellemrum fjernet","quotes":"Anførselstegn fjernet","suffix":"Juridisk endelse fjernet","casing":"Store og små bogstaver rettet"},"COPY":"Kopiér standardiserede navne","COPIED":"Kopieret","DOWNLOAD":"Download CSV","REVIEW_CTA_ONE":"1 række er markeret med Gennemgå – renseren var ikke sikker på den. Datablists AI-baserede berigelse læser kontekst, ikke kun en liste over endelser.","REVIEW_CTA_MANY":"{count} rækker er markeret med Gennemgå – renseren var ikke sikker på dem. Datablists AI-baserede berigelse læser kontekst, ikke kun en liste over endelser.","SEE_ENRICHMENT":"Se berigelsen","DEBUG_NOTICE":"Fejlfindingsresultater fra beta-handlingen. Dette er testdata, ikke en søgning på den indsendte person.","CHANGED":"Ændret","UNCHANGED":"Uændret","COPY_ERROR":"Kopieringen mislykkedes. Prøv igen, eller download CSV-filen.","MORE_OPTIONS":"Flere indstillinger","KEEP_SUFFIX_LABEL":"Bevar juridiske endelser","KEEP_SUFFIX_HELP":"Bevar juridiske virksomhedsformer som Inc., LLC, Ltd. og GmbH i de rensede navne.","RUN_OPTIONS":"Indstillinger for kørsel","OPTION_ON":"Til","OPTION_OFF":"Fra","CONFIDENCE_HELP":"AI-estimeret konfidens for, at det rensede navn bevarer virksomhedens identitet. Dette er ikke en ekstern verificering."}},"ToolsInstagramFollowerScraper":{"CONTENT":{"META_TITLE":"Gratis Instagram follower scraper | Datablist","META_SOCIAL_TITLE":"Gratis Instagram follower scraper","META_DESCRIPTION":"Gratis online Instagram follower scraper. Udtræk følgere fra enhver offentlig Instagram-profil uden login, cookies eller browserudvidelser.","SCHEMA_NAME":"Datablist gratis Instagram follower scraper","BREADCRUMB_CURRENT":"Instagram follower scraper","HERO":{"TITLE":"Gratis Instagram follower scraper","DESCRIPTION":"Indtast én Instagram-profil-URL eller ét handle, og få op til 100 følgere pr. kørsel. Kræver hverken login eller cookies."},"SAFETY":{"TITLE":"Derfor udsætter dette ikke din Instagram-konto for risiko","ITEMS":[{"safe":true,"label":"Datablist","body":"Kræver kun den offentlige profil-URL eller det offentlige handle. Opretter aldrig forbindelse til din personlige Instagram-konto og kræver ingen loginoplysninger, cookies eller browserudvidelser."},{"safe":false,"label":"Chrome-udvidelser (IG Exporter osv.)","body":"Automatiserer scraping ved at overtage din aktive browsersession. Meta overvåger hurtig scrolling og API-anmodninger i sessionen, hvilket kan medføre øjeblikkelige handlingsblokeringer og suspendering af kontoen."},{"safe":false,"label":"Cookiebaserede cloud-scrapers (PhantomBuster)","body":"Kræver, at du kopierer og indsætter din følsomme sessionid-cookie fra udviklerværktøjerne. Det overdrager din indloggede Instagram-identitet til eksterne servere og udsætter din konto for stor risiko."}]},"SOCIAL":{"TITLE":"Betroet af startups og større virksomheder","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Indtast en Instagram-profil eller et brugernavn","body":"Indsæt en offentlig Instagram-profil-URL (f.eks. instagram.com/nike), et handle (@nike) eller et numerisk bruger-ID. Du kan også indsætte flere influencerprofiler på én gang, når du bruger den fulde Datablist-app."},{"step":2,"title":"Vi scraper sikkert fra vores cloud-servere","body":"Udtrækket kører udelukkende på Datablists dedikerede infrastruktur. Vi beder aldrig om din Instagram-adgangskode, tofaktorkode eller sessionscookie (sessionid), så din personlige konto er 100 % beskyttet mod handlingsblokeringer eller udelukkelser."},{"step":3,"title":"Eksportér og berig med emails og telefonnumre","body":"Download din rensede følgertabel som CSV eller Excel. I Datablist kan du sende de scrapede handles gennem mere end 15 email- og telefonudbydere i en waterfall-proces for at finde verificerede kontaktoplysninger til dine creator-kampagner."}],"CTA":{"TITLE":"Scrape komplette følgerlister – ikke kun ti eksempelrækker","BODY":"En gratis Datablist-konto inkluderer 500 credits (op til 50,000 følgere), og Instagram-login er ikke nødvendigt.","LABEL":"Opret en gratis konto"}},"USE_CASES":{"TITLE":"Anvendelsesmuligheder","ITEMS":[{"title":"Målgruppe- og konkurrentanalyse","body":"Find ud af præcis, hvem der følger konkurrerende brands og førende profiler i din niche. Analysér fælles interesser, verificeringsrater og målgruppedemografi for at skærpe din markedspositionering.","ctaLabel":"Guide til opbygning af leadlister","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Influencer marketing og opdagelse af creators","body":"Udtræk følgerlister fra førende creators i branchen, og filtrér efter verificerede profiler eller offentlige kontakt-tags for at opbygge lister over samarbejdspartnere med høj konvertering.","ctaLabel":"Guide til scraping af influencere","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"Find emails til Instagram-leads","body":"Et Instagram-handle alene kan ikke kontaktes direkte via B2B-outreach. Kør din følgerliste gennem Datablists waterfall email finder for at finde verificerede professionelle emails.","ctaLabel":"Find emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Scraping i stor skala uden kontoudelukkelser","body":"Traditionelle værktøjer tvinger dig til at risikere en Instagram-konto over for anti-scraping-algoritmer. Datablists serverbaserede motor fjerner kontorisikoen helt.","ctaLabel":"Dokumentation til Instagram Followers","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Sammenligning af Instagram follower scrapers","INTRO":"Alle konkurrenter automatiserer enten klik i din aktive browser eller kræver, at du indsætter din følsomme sessionscookie. Datablist er den eneste platform, der udfører scraping på isoleret cloud-infrastruktur.","HEADERS":["Værktøj","IG-konto","Hvad det kræver","Pris","Pris/følger","Berigelse"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"Opretter aldrig forbindelse til den","needs":"Profil-URL eller @handle","cost":"$$25/md. eller gratis prøveperiode","perFollower":"$$0.0001 (0.01 credits)","enrichment":"Email- og telefon-waterfall","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"I risiko","needs":"Din sessionscookie (sessionid)","cost":"$$69/md.","perFollower":"Tidsbaseret (~$0.003)","enrichment":"Kræver en separat Phantom","best":false},{"tool":"Apify","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/apify.svg","safety":"I risiko / teknisk","needs":"API-opsætning og actor-konfiguration","cost":"$$49/md.","perFollower":"Compute-enheder (varierer)","enrichment":"Nej (kun rådata)","best":false},{"tool":"Chrome-udvidelser","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/chrome.svg","safety":"Høj risiko (kontoudelukkelse)","needs":"Udvidelse på din konto","cost":"$$15/md.","perFollower":"~$0.001","enrichment":"Nej","best":false}],"NOTE":"Priserne er hvert værktøjs billigste niveau ved månedlig fakturering, verificeret i september 2026. Datablists pris pr. følger er beregnet ud fra 0.01 credits pr. følger på abonnementet til $25/måned.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"https://www.datablist.com/pricing"},{"n":2,"label":"PhantomBuster-priser","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify-priser","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Den eneste scraper, der aldrig beder om dit Instagram-login","BODY":"Start gratis med 500 credits. Ingen udvidelse, ingen sessionscookie og intet betalingskort nødvendigt.","LABEL":"Opret en gratis konto"}},"RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i bulk?","ENRICHMENT":{"label":"Instagram Followers Scraper","href":"/sources/instagram-followers","blurb":"Scrape op til 2,000,000 følgere fra flere profiler i bulk, filtrér efter creator, og berig med verificerede emails."},"TOOLS":[{"label":"Gratis LinkedIn Profile Scraper","href":"/tools/linkedin-profile-scraper","blurb":"Udtræk verificeret arbejdshistorik, kompetencer og nuværende stilling fra enhver LinkedIn-profil."},{"label":"Gratis Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"Udtræk leads fra Sales Navigator-søgninger uden at tilknytte en LinkedIn-konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Waterfall-søgning efter emails hos mere end 15 udbydere ud fra et navn og domæne."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"Skal jeg tilknytte min Instagram-konto eller angive loginoplysninger?","answer":"Nej. Datablist beder aldrig om din Instagram-adgangskode, tofaktorkode eller sessionscookie (sessionid). Al scraping kører på Datablists dedikerede cloud-servere, så din personlige Instagram-profil eller virksomhedsprofil aldrig tilknyttes og derfor ikke kan markeres eller udelukkes."},{"question":"Kan jeg scrape mere end 100,000 følgere?","answer":"Ja. Datablist kan scrape mere end 100,000 følgere og understøtter datasæt med op til 2,000,000 poster pr. samling. Fordi udtrækket udelukkende kører på Datablists dedikerede cloud-infrastruktur, behandles store følgerlister kontinuerligt uden browsernedbrud på grund af hukommelsen eller afbrydelser som følge af rate limits."},{"question":"Er det lovligt at scrape Instagram-følgere?","answer":"Ja. Scraping af offentligt tilgængelige data fra offentlige profiler er lovligt i de fleste større jurisdiktioner. Datablist udtrækker kun data, som er synlige for enhver besøgende, der ikke er logget ind, og omgår ikke begrænsninger for private profiler."},{"question":"Hvilke datapunkter udtrækkes, og kan jeg finde emailadresser?","answer":"Dette gratis værktøj returnerer bruger-ID, brugernavn, fuldt navn, profil-URL, kontoens privatlivsstatus og verificeringsstatus. Ukendte værdier for privatliv eller verificering forbliver uspecificerede. Efter udtrækket kan du sende de scrapede handles gennem Datablists Waterfall Email- og Phone Finders på tværs af mere end 15 dataudbydere for at finde verificerede kontaktoplysninger."},{"question":"Hvad koster det at scrape Instagram-følgere i Datablist?","answer":"Scraping af følgere koster 0.01 credits pr. følger (100 følgere pr. credit). En gratis Datablist-konto inkluderer 500 gratis credits ved oprettelse (nok til 50,000 følgere). Betalte abonnementer starter ved $25/måned for 5,000 credits (500,000 følgere), og dine credits udløber aldrig."}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Instagram Follower Scraper","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk scraping","API_LABEL":"API","BULK_TITLE":"More than 100 followers or multiple profiles?","BULK_DESCRIPTION":"Enter a list of Instagram profiles in Datablist and set a follower limit per profile. Import the followers into a collection, review the results, and export your list as CSV or Excel. No Instagram login required.","BULK_CTA":"Explore bulk follower scraping","API_TITLE":"Retrieve Instagram followers from your code","API_DESCRIPTION":"Use the Instagram Followers/Following Scraper API to collect followers or following users for one or more profiles. Send usernames or profile URLs, set a limit per profile, and retrieve the results as JSON for your application or automated workflow.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"Instagram-følgere","DESCRIPTION":"Instagram-profil-URL, brugernavn eller handle","PLACEHOLDERS":["https://www.instagram.com/nike/ eller @nike"],"ROW_LABEL":"Instagram-profil","REMOVE_ROW":"Fjern profil","ADD_ROW":"Tilføj en profil","ROW_LIMIT":"Én profil og op til 100 følgere pr. kørsel.","EMPTY":"Indtast en Instagram-profil for at komme i gang","READY_ONE":"1 profil er klar","READY_MANY":"{count} profiler er klar","FIND_ONE":"Scrape følgere","FIND_MANY":"Scrape følgere","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Illustrativt eksempel med fiktive følgere. Denne forhåndsvisning kører i din browser og bruger ingen credits.","REJECTED_ONE":"Denne profil kunne ikke bruges. Kontrollér formatet.","REJECTED_MANY":"{count} input kunne ikke bruges. Kontrollér deres format.","OVERFLOW":"Du indsatte {count} profiler. Dette gratis værktøj accepterer én ad gangen.","PROCESS_ALL":"Scrape alle {count} profiler i Datablist","NO_MATCH":"Der blev ikke fundet nogen følgere for denne profil.","COPY_ROW":"Kopiér profil-URL for {name}","START_OVER":"Start forfra","COPY_ALL":"Kopiér CSV","DOWNLOAD_CSV":"Download CSV","COPY_ERROR":"Kopieringen mislykkedes. Prøv igen, eller download CSV-filen.","PRIVACY":"Dine input og resultater er tilgængelige i denne browser i 24 timer. Datablist opbevarer opgavedata længere for at gennemføre og understøtte kørslen.","UNAVAILABLE":"Dette gratis værktøj er midlertidigt utilgængeligt. Du kan stadig bruge Datablist-appen.","QUOTA_REACHED":"Du har brugt din daglige kvote for dette gratis værktøj. Kom tilbage om {hours} t. {minutes} min., eller fortsæt i Datablist.","QUOTA_RUN_TOO_LARGE":"Denne scraping overstiger din resterende daglige kvote. Kom tilbage om {hours} t. {minutes} min.","QUOTA_REMAINING":"{remaining} af {limit} credits tilbage i dag","QUOTA_REDUCE":"{remaining} credits tilbage i dag. Vent, indtil din daglige kvote nulstilles.","QUOTA_WAIT":"Den daglige kvote er brugt. Kom tilbage om {hours} t. {minutes} min.","CHALLENGE_REQUIRED":"Gennemfør verificeringen, før du scraper følgere.","RUN_FAILED":"Scrapingen kunne ikke gennemføres. Alle tilgængelige følgere vises nedenfor.","SUBMISSION_UNKNOWN":"Vi undersøger, om din scraping er startet. Genindlæs siden for at kontrollere dens status. Indsend den ikke igen.","RETRY_STATUS":"Vi kunne ikke kontrollere scrapingen lige nu. Genindlæs siden for at prøve igen.","EXPIRED":"Disse resultater er ikke længere tilgængelige i denne browser.","BANNER":"Scrape større følgerlister, og berig dem i Datablist. Start med 500 gratis credits – intet betalingskort nødvendigt.","BANNER_CTA":"Få 500 gratis credits","RESULT_CTA":"Scrape større følgerlister i Datablist.","RESULT_CTA_BUTTON":"Åbn Datablist","HISTORY_TITLE":"Dine seneste scrapings","HISTORY_DESCRIPTION":"Åbn eller fjern en scraping fra denne browser i op til 24 timer. Hvis du fjerner den her, stopper det ikke scrapingen og gendanner ikke credits.","HISTORY_REMOVE":"Fjern {name} fra denne browser","HISTORY_COMPLETE":"Fuldført","HISTORY_FAILED":"Kræver opmærksomhed","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"I gang","DEBUG_NOTICE":"Debug-resultater fra beta-handlingen. Dette er testdata.","LABEL":"Instagram-profil-URL, brugernavn eller handle","PLACEHOLDER":"https://www.instagram.com/cristiano/ eller @nike","SCRAPE":"Scrape følgere","SCRAPING":"Scraper","SAFETY":"Kræver hverken Instagram-login, cookies eller adgangskode. Vi opretter aldrig forbindelse til din konto.","SAMPLES":"Eller prøv et eksempel:","ERRORS":{"EMPTY":{"REASON":"Indtast en Instagram-profil-URL, et brugernavn eller et handle."},"USERNAME":{"REASON":"Indtast et gyldigt Instagram-brugernavn."},"TOO_LONG":{"REASON":"Instagram-brugernavne må ikke overstige 30 tegn."},"CHARACTERS":{"REASON":"Ugyldige tegn i brugernavnet.","HINT":"Instagram-brugernavne må kun indeholde bogstaver, tal, punktummer og understregningstegn."},"RESERVED_HANDLE":{"REASON":"\"{value}\" er en Instagram-systemside, ikke en brugerprofil."},"BAD_URL":{"REASON":"Det ligner ikke en gyldig URL eller et gyldigt brugernavn.","HINT":"Indtast et link til en Instagram-profil (f.eks. https://www.instagram.com/cristiano/) eller et handle (@cristiano)."},"WRONG_SITE":{"REASON":"Det er et link til {value}, ikke Instagram.","HINT":"Angiv et link til en Instagram-profil (f.eks. instagram.com/username) eller et handle."},"HOMEPAGE":{"REASON":"Det er Instagrams startside, ikke en bestemt profil.","HINT":"Indsæt en profil-URL med et brugernavn til sidst, f.eks. instagram.com/nike/."},"POST":{"REASON":"Det er et link til et individuelt Instagram-opslag eller en reel, ikke en profil.","HINT":"For at scrape følgere skal du i stedet åbne forfatterens profilside og kopiere denne URL."},"STORY":{"REASON":"Det er et link til en Instagram Story.","HINT":"Stories er midlertidige og har ingen offentlig følgerliste. Indsæt creatorens profil-URL."},"EXPLORE":{"REASON":"Det er et Instagram-tag eller en Explore-side, ikke en profil.","HINT":"Indtast profil-URL'en for en creator, et brand eller en influencer for at scrape deres følgere."},"SYSTEM_PAGE":{"REASON":"Det peger på en Instagram-systemside, ikke en brugerprofil."},"PROFILE_USERNAME":{"REASON":"Profilens brugernavn i denne URL er ikke gyldigt.","HINT":"Kontrollér, at URL'en matcher https://www.instagram.com/username/."}},"SCRAPE_ERROR":"Scrapingen blev ikke gennemført. Prøv igen om et øjeblik.","RESULTS":"Her er de første {count} følgere for @{handle}, gratis.","USER":"Bruger","USER_ID":"Bruger-ID","ACCOUNT_PRIVACY":"Privatliv","PROFILE":"Profil","ID":"ID: {id}","VERIFIED":"Verificeret","PRIVATE":"Privat","PUBLIC":"Offentlig","VIEW":"Vis","COPIED":"Kopieret","COPY":"Kopiér","DOWNLOAD":"Download CSV","SCRAPE_FULL":"Scrape hele listen","RESULT_NOTE":"Den gratis forhåndsvisning viser {count} følgere uden kontaktoplysninger. Brug Datablists løsning til at scrape op til 2,000,000 følgere i bulk og sende dem gennem email- og telefonfindere:","SOURCE_LABEL":"Instagram Followers Scraper","CSV_HEADER":"Bruger-ID,Brugernavn,Fuldt navn,Verificeret,Privat,Profil-URL,Følger af","YES":"Ja","NO":"Nej","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"Gratis LinkedIn-profilscraper | Datablist","META_SOCIAL_TITLE":"Gratis LinkedIn-profilscraper","META_DESCRIPTION":"Slå en persons LinkedIn-profil op uden at forbinde din LinkedIn-konto. Få tilgængelige oplysninger om identitet, jobhistorik og uddannelse. Der gælder en daglig grænse.","SCHEMA_NAME":"Datablists gratis LinkedIn-profilscraper","BREADCRUMB_CURRENT":"LinkedIn-profilscraper","HERO":{"TITLE":"Gratis LinkedIn-profilscraper","DESCRIPTION":"Indsæt URL'en til en personprofil på LinkedIn eller Sales Navigator for at få tilgængelige oplysninger om profil, job og uddannelse. Kræver hverken LinkedIn-login eller sessionscookie."},"SAFETY":{"TITLE":"Ingen forbindelse til din LinkedIn-konto","ITEMS":[{"safe":true,"label":"Datablist","body":"Kun profilens URL er påkrævet. Behandlingen kører på Datablists infrastruktur uden dit LinkedIn-login, din sessionscookie eller en browserudvidelse."},{"safe":false,"label":"Chrome-udvidelser","body":"Evaboot, Skrapp og lignende browserværktøjer automatiserer klik og sidevisninger i din indloggede browsersession. LinkedIn registrerer og begrænser konti, der bruger automatisering på klientsiden."},{"safe":false,"label":"Cookiebaserede cloudværktøjer","body":"Phantombuster og cloud-aktører kræver, at du kopierer og indsætter din følsomme li_at-sessionscookie. Når du overlader din aktive session til delte tredjepartsservere, udsætter du din konto for risikoen for at blive registreret og udelukket."}]},"SOCIAL":{"TITLE":"Bruges af startups og store virksomheder","STATS":[{"value":"35,000+","label":"virksomheder bruger Datablist"},{"value":"20M+","label":"rækker beriges hver måned"},{"value":"60+","label":"værktøjer til 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":"Sådan fungerer det","STEPS":[{"step":1,"title":"Kopiér URL'en til en LinkedIn-profil","body":"Gå til den profil, du vil scrape på LinkedIn eller Sales Navigator, og kopiér linket fra browserens adresselinje. Både almindelige profil-URL'er (linkedin.com/in/...) og lead-URL'er fra Sales Navigator understøttes."},{"step":2,"title":"Indsæt URL'en her","body":"Indsæt URL'en i feltet ovenfor. Vi fjerner automatisk sporingsparametre (som trk og lipi) før behandlingen. Der kræves aldrig login, adgangskode, Chrome-udvidelse eller sessionscookie."},{"step":3,"title":"Hent strukturerede profiloplysninger","body":"Udtrækningen kører på Datablists dedikerede infrastruktur, helt adskilt fra din personlige LinkedIn-konto. Du får rene, strukturerede data retur: navn, headline, resumé, firmografiske oplysninger om nuværende arbejdsgiver, tidligere jobhistorik og uddannelse."}],"CTA":{"TITLE":"Scrape 20 profiler gratis på én gang","BODY":"En gratis Datablist-konto starter med 500 credits. Upload din CSV, og berig hele lister på få minutter.","LABEL":"Opret en gratis konto"}},"DATA":{"TITLE":"Hvilke data du får fra hver LinkedIn-profil","ITEMS":[{"icon":"UserCheck","title":"Identitet og lokation","description":"Centrale personoplysninger, der gør det muligt at identificere potentielle kunder præcist og segmentere målgrupper.","fields":["Fornavn","Efternavn","Fulde navn","Headline","Om / resumé","By, region og land","Landekode (ISO-2)"]},{"icon":"Database","title":"Nuværende rolle og firmografi","description":"Detaljerede arbejdsgiverdata til at vurdere ICP-match og målrette outbound-kommunikation.","fields":["Jobtitel","Virksomhedsnavn","Virksomhedens LinkedIn-URL","Virksomhedens website","Branche","Interval for antal medarbejdere","Rollens startdato og varighed","Rollebeskrivelse"]},{"icon":"BriefcaseIcon","title":"Karriere og jobhistorik","description":"Tilgængelige oplysninger om op til to tidligere roller.","fields":["To tidligere jobtitler","Navne på tidligere virksomheder","Ansættelsesperiode og datoer","Rollebeskrivelser og resultater"]},{"icon":"Layers","title":"Uddannelse og sprog","description":"Tilgængelige oplysninger om uddannelse og sprog.","fields":["Universitetets / skolens navn","Opnået grad","Studieretning","Datoer for afsluttet uddannelse","Talte sprog"]}]},"USE_CASES":{"TITLE":"Anvendelsesmuligheder","ITEMS":[{"title":"Personalisering af cold emails og beskeder","body":"Scrape potentielle kunders jobhistorik, nylige karriereskift og bio-resuméer for at skabe hyperpersonaliseret cold outreach, der rammer målgruppen og konverterer.","ctaLabel":"Guide til opbygning af leadlister","ctaHref":"/how-to/lead-list-building-guide"},{"title":"Kandidatsøgning og rekruttering","body":"Udtræk komplette kandidatprofiler, herunder tilgængelige oplysninger om tidligere arbejdsgivere og uddannelse, direkte til en organiseret talentdatabase.","ctaLabel":"Guide til scraping af LinkedIn-oplysninger","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"Find verificerede arbejdsmails","body":"Omdan scrapede navne og virksomhedswebsites til verificerede professionelle emailadresser med Datablists waterfall email enrichment på tværs af 20+ udbydere.","ctaLabel":"Find emails i stor skala","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"Opdatering af kontakter og virksomheder i CRM","body":"Hold dine kontakter i Salesforce eller HubSpot opdaterede. Registrer automatisk jobskifte, nye forfremmelser og opdaterede firmografiske oplysninger uden manuel dataindtastning.","ctaLabel":"Guide til CRM-data enrichment","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"Sammenligning af LinkedIn-profilscrapere","INTRO":"De fleste LinkedIn-scrapere automatiserer enten din aktive session eller fakturerer for en uforudsigelig kørselstid. Datablist fungerer uafhængigt på sin egen cloudinfrastruktur med gennemskuelig pris pr. profil.","HEADERS":["Værktøj","LinkedIn-konto","Hvad det kræver","Pris","Pris / profil","CSV i bulk"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/linkedin-profile-scraper/datablist.png","values":["Opretter aldrig forbindelse til den","Kun offentlig profil-URL","$$25/md.","$$0.025","Ja, 100k+ rækker"],"best":true},{"tool":"Phantombuster","favicon":"/free-tools/linkedin-profile-scraper/phantombuster.png","values":["I fare","Sessionscookie (li_at)","$$69/md.","Faktureres pr. minut","Begrænset"],"best":false},{"tool":"Apify","favicon":"/free-tools/linkedin-profile-scraper/apify.svg","values":["I fare","Opsætning af actor / proxy-nøgler","$$29/md.","Varierer","Via API/JSON"],"best":false},{"tool":"Clay","favicon":"/free-tools/linkedin-profile-scraper/clay.png","values":["Sikker (databaseopslag)","Databaseopslag (ikke live)","$$185/md.","$$0.05 - $0.10","Ja"],"best":false},{"tool":"Evaboot","favicon":"/free-tools/linkedin-profile-scraper/evaboot.png","values":["I fare","Udvidelse på din konto","$$9/md.","$$0.09","Kun Sales Nav"],"best":false}],"NOTE":"Priserne er hvert værktøjs billigste abonnement ved månedlig fakturering og blev kontrolleret på hver udbyders aktuelle prisside i september 2026. Datablists pris pr. profil er beregnet ud fra 25 credits pr. profil med abonnementet til $25/måned.","SOURCES":[{"n":1,"label":"Datablist-priser","href":"/pricing"},{"n":2,"label":"Phantombuster-priser","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify-priser","href":"https://apify.com/pricing"},{"n":4,"label":"Clay-priser","href":"https://clay.com/pricing"},{"n":5,"label":"Evaboot-priser","href":"https://evaboot.com/pricing"}],"CTA":{"TITLE":"Den eneste scraper, der aldrig opretter forbindelse til din LinkedIn-konto","BODY":"Start gratis med 500 credits. Ingen udvidelse, ingen sessionscookie og intet betalingskort påkrævet.","LABEL":"Opret en gratis konto"}},"RELATED":{"TITLE":"Relaterede værktøjer","EYEBROW":"Har du brug for dette i bulk?","ENRICHMENT":{"label":"LinkedIn-profilscraper","href":"/enrichments/linkedin-profile-scraper-bulk","blurb":"Behandl større lister med LinkedIn-profiler fra en CSV i Datablist uden at forbinde din LinkedIn-konto."},"TOOLS":[{"label":"Gratis Sales Navigator-scraper","href":"/tools/sales-navigator-scraper","blurb":"Udtræk leads fra Sales Navigator-søgninger uden at forbinde din konto."},{"label":"Gratis Email Finder","href":"/tools/email-finder","blurb":"Find verificerede arbejdsmails ud fra en persons navn og virksomhedens domæne."},{"label":"Gratis Domain Finder","href":"/tools/domain-finder","blurb":"Konvertér virksomhedsnavne til officielle websitedomæner med confidence scores."}]},"FAQ":{"TITLE":"Ofte stillede spørgsmål","ITEMS":[{"question":"Forbinder Datablist til min LinkedIn-konto eller bruger sessionscookies?","answer":"Nej. Datablist forbinder aldrig til din LinkedIn-konto og beder aldrig om din adgangskode eller dine sessionscookies (li_at). Al scraping kører udelukkende på vores dedikerede cloudinfrastruktur med offentlige profildata, så enhver risiko for kontobegrænsninger eller udelukkelser elimineres."},{"question":"Kan jeg finde verificerede arbejdsmails til de scrapede profiler?","answer":"Ja. I Datablist kan du sende scrapede navne og virksomhedsdomæner gennem vores Waterfall Email Finder på tværs af 20+ dataudbydere for at finde og verificere emailadresser, og du betaler kun credits for bekræftede matches."},{"question":"Hvilke datapunkter udtrækkes fra hver LinkedIn-profil?","answer":"Værktøjet returnerer tilgængelige oplysninger om identitet, headline, resumé, lokation, sprog, forbindelser, nuværende job, op til to tidligere roller og den første uddannelsespost. Manglende felter forbliver tomme. Kompetencer, billeder og URN'er medtages ikke."},{"question":"Kan jeg scrape LinkedIn-profiler i bulk og bruge URL'er fra Sales Navigator?","answer":"Ja. Datablist accepterer almindelige URL'er til LinkedIn-profiler og lead-URL'er fra Sales Navigator. Du kan uploade en CSV med tusindvis af links for at scrape profiler i bulk med en hastighed på cirka 1.000 profiler på 3 minutter."},{"question":"Hvad koster det at scrape profiler i Datablist?","answer":"Scraping koster 25 credits pr. profil (20 credits for cachede data). Alle gratis konti inkluderer 500 gratis credits ved oprettelse (nok til 20 komplette profiler). Betalte abonnementer starter ved $25/måned for 5.000 credits, og credits udløber aldrig."},{"question":"Kan dette værktøj returnere cachede profildata?","answer":"Ja. Dette gratis værktøj accepterer cachede profiler. Data kan være ufuldstændige eller forældede. Det returnerer én nuværende rolle, op til to tidligere roller og én uddannelsespost, når de er tilgængelige. Det returnerer ikke kompetencer, profilbilleder eller en LinkedIn-URN. Hver kørsel reserverer 25 credits fra din daglige grænse på 25 credits pr. session og IP."}]}},"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":"Indtast én URL til en LinkedIn-profil eller et Sales Navigator-lead","PLACEHOLDERS":["https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"URL til LinkedIn-profil","REMOVE_ROW":"Fjern række {number}","ADD_ROW":"Tilføj endnu en række","ROW_LIMIT":"Én LinkedIn-profil pr. kørsel.","EMPTY":"Indsæt en URL til en LinkedIn-profil for at komme i gang","READY_ONE":"Klar til at slå denne profil op","READY_MANY":"Klar til at slå denne profil op","FIND_ONE":"Scrape profil","FIND_MANY":"Scrape profil","SAMPLE_BUTTON":"Se eksempelresultater","SAMPLE_NOTICE":"Illustrative eksempelresultater. Denne forhåndsvisning bruger ingen credits.","REJECTED_ONE":"Ét input kunne ikke bruges. Kontrollér formatet.","REJECTED_MANY":"{count} input kunne ikke bruges. Kontrollér deres format.","OVERFLOW":"Der kan køres én profil ad gangen.","PROCESS_ALL":"Behandl alle {count}","NUMBER":"#","COMPANY_NAME":"Virksomhedsnavn","DOMAIN":"Domæne","CONFIDENCE":"Sikkerhed","STATUS":"Status","NO_MATCH":"Ingen profildata fundet","COPY_ROW":"Kopiér domæne for {name}","START_OVER":"Start forfra","COPY_ALL":"Kopiér CSV","DOWNLOAD_CSV":"Download CSV","DOWNLOAD_FILENAME":"linkedin-profile.csv","DOWNLOAD_JSON":"Download JSON","DOWNLOAD_JSON_FILENAME":"linkedin-profile.json","HIGH":"Høj","MEDIUM":"Middel","LOW":"Lav","VERY_LOW":"Meget lav","PRIVACY":"Dine input og resultater er tilgængelige i denne browser i 24 timer. Datablist opbevarer opgavedata længere for at gennemføre og understøtte kørslen.","UNAVAILABLE":"Dette gratis værktøj er midlertidigt utilgængeligt. Du kan stadig bruge Datablist-appen.","QUOTA_REACHED":"Du har brugt din daglige kvote til dette gratis værktøj. Kom tilbage om {hours} t. {minutes} min., eller fortsæt i Datablist.","QUOTA_RUN_TOO_LARGE":"Dette opslag overstiger din resterende daglige kvote til dette gratis værktøj. Prøv med færre navne, eller kom tilbage om {hours} t. {minutes} min.","QUOTA_REMAINING":"{remaining} af {limit} credits tilbage i dag","QUOTA_REDUCE":"{remaining} credits tilbage i dag. Dette profilopslag kræver 25 credits.","QUOTA_WAIT":"Den daglige kvote er brugt. Kom tilbage om {hours} t. {minutes} min.","CHALLENGE_REQUIRED":"Gennemfør verificeringen, før du starter opslaget.","RUN_FAILED":"Kørslen kunne ikke gennemføres. Du kan åbne eventuelle tilgængelige resultater eller prøve igen senere.","SUBMISSION_UNKNOWN":"Vi undersøger, om dit opslag blev startet. Genindlæs denne side for at kontrollere statussen. Undlad at indsende opslaget igen.","RETRY_STATUS":"Vi kunne ikke kontrollere opslaget lige nu. Genindlæs denne side for at prøve igen.","EXPIRED":"Dette resultat er ikke længere tilgængeligt i denne browser.","BANNER":"Har du brug for flere profiler? Fortsæt i Datablist.","BANNER_CTA":"Åbn Datablist","RESULT_CTA":"Berig en komplet liste med LinkedIn-profiler i Datablist.","RESULT_CTA_BUTTON":"Åbn Datablist","CSV_NAME":"Navn","LOADING":"Indlæser","ERROR":"Fejl","COMPLETE":"Fuldført","HISTORY_TITLE":"Dine seneste opslag","HISTORY_DESCRIPTION":"Åbn eller fjern et opslag fra denne browser, mens resultaterne er tilgængelige, i op til 24 timer. Hvis du fjerner det her, stoppes opslaget ikke, og credits tilbageføres ikke.","HISTORY_REMOVE":"Fjern {name} fra denne browser","HISTORY_COMPLETE":"Fuldført","HISTORY_FAILED":"Kræver handling","HISTORY_ATTENTION":"Kontrollerer status","HISTORY_RUNNING":"I gang","LABEL":"URL til LinkedIn-profil eller Sales Navigator-lead","PLACEHOLDER":"https://www.linkedin.com/in/username eller https://www.linkedin.com/sales/lead/...","SCRAPE":"Scrape profil","SAFETY":"Intet LinkedIn-login, ingen cookies eller sessions-id. Vi forbinder aldrig til din konto.","SAMPLES":"Eller prøv et eksempel:","RESULTS":"Her er de udtrukne oplysninger for {name}, helt gratis.","TABLE":"Datatabel","OVERVIEW":"Oversigtskort","PROPERTY":"Egenskab","VALUE":"Udtrukket værdi","IDENTITY":"Identitet og lokation","CURRENT":"Nuværende stilling og firmografi","HISTORY":"Jobhistorik ({count} stillinger)","EDUCATION_SKILLS":"Uddannelse og sprog","CONNECTIONS":"Forbindelser","LANGUAGES":"Sprog","NAME":"Fulde navn","FIRST_LAST":"For- og efternavn","HEADLINE":"Headline","SUMMARY":"Om / resumé","LOCATION":"Lokation","LOCATION_VALUE":"{location} (Land: {country})","PROFILE_URL":"Profil-URL","URN":"LinkedIn-URN","JOB":"Nuværende jobtitel","COMPANY":"Virksomhedsnavn","WEBSITE":"Virksomhedens website","INDUSTRY_SIZE":"Branche og størrelse","DATES":"Ansættelsesperiode / datoer","PREVIOUS_ROLE":"Tidligere rolle #{number}","ROLE_AT":"{title} hos {company}","EDUCATION":"Uddannelse #{number}","SKILLS":"Vigtigste kompetencer","BIO":"Om / bio","POSITION":"Nuværende stilling","PAST":"Tidligere erfaring","COPY_CSV":"Kopiér CSV","COPIED_CSV":"CSV kopieret","COPY_JSON":"Kopiér JSON","COPIED_JSON":"JSON kopieret","DOWNLOAD":"Download CSV","FULL_LIST":"Scrape hele listen","RESULT_NOTE":"Den gratis forhåndsvisning udtrækker komplette datapunkter fra en enkelt profil. Brug Datablists til at scrape hundredvis eller tusindvis af profiler i bulk fra en CSV helt uden risiko for din konto.","COPY_ERROR":"Kopieringen mislykkedes. Prøv igen, eller download CSV-filen.","CSV_HEADERS":["Fulde navn","Fornavn","Efternavn","Headline","Jobtitel","Virksomhedsnavn","Virksomhedens website","Virksomhedens LinkedIn-URL","Branche","Medarbejderinterval","By","Region","Land","Landekode","Normaliseret profil-URL","Resumé","Tidligere erfaring 1 – titel","Tidligere erfaring 1 – virksomhed","Tidligere erfaring 1 – datoer","Tidligere erfaring 2 – titel","Tidligere erfaring 2 – virksomhed","Tidligere erfaring 2 – datoer","Uddannelsesinstitution","Uddannelsesgrad","Sprog"],"ERRORS":{"EMPTY":{"REASON":"Indsæt en URL til en LinkedIn-profil.","HINT":"Eksempel: https://www.linkedin.com/in/satyanadella"},"INVALID_URL":{"REASON":"Dette ligner ikke en gyldig URL.","HINT":"Sørg for at indsætte et komplet link, der starter med linkedin.com"},"WRONG_SITE":{"REASON":"Det er ikke en LinkedIn-URL.","HINT":"URL'en peger på \"{value}\". Indsæt et link til en LinkedIn-profil."},"COMPANY":{"REASON":"Det er en virksomheds- eller institutionsside, ikke en personlig profil.","HINT":"Hvis du vil scrape personer, skal du indsætte URL'en til en individuel profil i formatet linkedin.com/in/username"},"SEARCH":{"REASON":"Det er en URL til søgeresultater, ikke en profil-URL.","HINT":"Prøv vores gratis Sales Navigator-scraper for at scrape søgeresultater. I dette værktøj skal du klikke på en profil og indsætte personens individuelle link."},"POST":{"REASON":"Det er et opslag eller en artikel i LinkedIn-feedet, ikke en profil.","HINT":"Klik på forfatterens navn for at se vedkommendes profil, og kopiér og indsæt derefter profilens URL."},"PATH":{"REASON":"LinkedIn-profilstien blev ikke genkendt.","HINT":"Indsæt et profillink, der matcher linkedin.com/in/username, eller en URL til et Sales Navigator-lead."}},"VERIFIED_PROFILE":"Verificeret profil","SCRAPED_CLEAN":"Profildata","ENRICHMENT_LABEL":"LinkedIn-profilscraper","RESULT_NOTE_SUFFIX":" bulk enrichment.","DEBUG_NOTICE":"Debug-resultater fra beta-handlingen. Dette er testdata, ikke et opslag af den indsendte person.","CHANGED":"Ændret","UNCHANGED":"Uændret","CSV_HEADER_LINE":"Fulde navn|Fornavn|Efternavn|Headline|Jobtitel|Virksomhedsnavn|Virksomhedens website|Virksomhedens LinkedIn-URL|Branche|Medarbejderinterval|By|Region|Land|Landekode|Normaliseret profil-URL|Resumé|Tidligere erfaring 1 – titel|Tidligere erfaring 1 – virksomhed|Tidligere erfaring 1 – datoer|Tidligere erfaring 2 – titel|Tidligere erfaring 2 – virksomhed|Tidligere erfaring 2 – datoer|Uddannelsesinstitution|Uddannelsesgrad|Sprog"}},"UseCaseAiScraping":{"PAGE_TITLE":"AI Web Scraping uden kode","PAGE_DESC":"Scrape tusindvis af websites med en simpel prompt. Datablist's AI Agent forstår dine behov, navigerer på sider og udtrækker strukturerede data—ingen kode nødvendig.","USE_CASE":"Anvendelsesområder","HERO_TITLE":"AI Web Scraping uden kode","HERO_DESC":"Scrape tusindvis af websites med en simpel prompt. Datablist's AI Agent forstår dine behov, navigerer på sider og udtrækker strukturerede data—ingen kode nødvendig.","PROBLEM_TITLE":"Traditionel web scraping holder ikke længere","PROBLEM_BODY":"Web scrapers, der bygger på CSS-selektorer, er skrøbelige og kræver konstant vedligeholdelse. En lille ændring i et websites layout kan ødelægge hele dit workflow. Datablist's AI Agent løser det ved at forstå indholdet som et menneske og er dermed robust over for website-opdateringer.","PROMPT_TITLE":"Fra simple prompts til strukturerede data","PROMPT_CONTENT_1":"Glem komplekse konfigurationer. Fortæl bare AI Agenten, hvad du har brug for, på helt almindeligt engelsk. Vil du finde navnet på CEO'en fra en 'About Us'-side? Bed om det. Har du brug for at udtrække produktpriser fra en kategoriside? Beskriv bare, hvad du leder efter.","PROMPT_CONTENT_2":"Agenten fortolker dine instruktioner, browser nettet og returnerer rene, strukturerede data direkte i dit regneark.","SCALE_TITLE":"Bygget til skalering, prissat for alle","SCALE_CONTENT_1":"Uanset om du skal scrape ti websites eller ti tusind, er vores AI Agent klar. Den håndterer tekniske detaljer som paginering og proxy-håndtering automatisk, så du kan fokusere på dataene, ikke processen.","SCALE_CONTENT_2":"Vores kreditbaserede system er omkostningseffektivt, så du kan køre scraping i stor skala uden at sprænge budgettet. Få de data, du har brug for, når du har brug for dem.","ROBUST_TITLE":"Tilpasser sig ethvert website, enhver ændring","ROBUST_CONTENT_1":"Det moderne web er dynamisk og ændrer sig konstant. Vores AI Agent er bygget til at være robust. Fordi den forstår konteksten og betydningen af data, er den ikke afhængig af en rigid website-struktur.","ROBUST_CONTENT_2":"Det betyder mere pålidelig dataudtræk og mindre tid brugt på at reparere ødelagte scrapers. Lad AI håndtere webbets kompleksitet for dig.","USECASES_TITLE":"Lås op for en verden af data med AI scraping","USECASES_LEADGEN_TITLE":"Sæt turbo på din leadgenerering","USECASES_LEADGEN_CONTENT_1":"Gå ud over basale firmografiske data. Brug AI Agenten til at scrape virksomheders websites for cases, anvendte teknologier eller seneste nyheder.","USECASES_LEADGEN_CONTENT_2":"Disse rige, kontekstuelle data er det perfekte brændstof til stærkt personlige og effektive outreach-kampagner.","USECASES_MARKET_TITLE":"Automatiser markeds- og konkurrentresearch","USECASES_MARKET_CONTENT_1":"Stop med at spilde timer på manuel research. Overvåg automatisk konkurrenters websites for produktopdateringer, prisændringer eller nye jobopslag.","USECASES_MARKET_CONTENT_2":"Indsaml kundeanmeldelser fra sider som Trustpilot eller Trusted Shops for at analysere sentiment og identificere markedstendenser.","USECASES_ECOMMERCE_TITLE":"E-commerce & produktovervågning","USECASES_ECOMMERCE_CONTENT_1":"Scrape uden besvær produktlister fra enhver e-commerce-side. Udtræk navne, priser, SKU'er, beskrivelser og kundeanmeldelser.","USECASES_ECOMMERCE_CONTENT_2":"Hold øje med dine konkurrenters lager, overvåg prisstrategier, eller aggreger produktdata til din egen platform.","BENEFITS_TITLE":"Kraftfuld scraping, gjort simpelt","BENEFITS_NOCODE_TITLE":"No-code interface","BENEFITS_NOCODE_BODY":"Ingen programmeringsfærdigheder påkrævet. Hvis du kan skrive en instruktion, kan du scrape nettet. Vores intuitive interface gør dataudtræk tilgængeligt for alle.","BENEFITS_FLEXIBLE_TITLE":"Fleksibel og konfigurerbar","BENEFITS_FLEXIBLE_BODY":"Tilpas dine scraping-opgaver præcist til dine behov. Udtræk et enkelt datapunkt eller et helt dataset. AI Agenten tilpasser sig dine specifikke krav.","BENEFITS_SCALABLE_TITLE":"Skalerbar og automatiseret","BENEFITS_SCALABLE_BODY":"Fra små opgaver til massive dataindsamlingsprojekter skalerer vores AI Agent med dig. Planlæg tilbagevendende scraping for at holde dine data friske og automatisk opdaterede.","BENEFITS_PRECISE_TITLE":"Præcis og struktureret output","BENEFITS_PRECISE_BODY":"Få de data, du har brug for, i et rent og organiseret format. AI Agenten leverer strukturerede resultater direkte i et regneark—klar til analyse eller eksport.","SEE_ALSO":"Se også","VIDEO_TITLE":"Se AI scraping i praksis","VIDEO_TEXT":"Se, hvordan du kan opbygge en skræddersyet lead scoring-model på under et minut med en simpel prompt. Ingen formler, intet bøvl."},"UseCaseDataCleaning":{"PAGE_TITLE":"Datarensning, automatiseret.","PAGE_DESC":"Datablist leverer en kraftfuld og brugervenlig værktøjskasse til at fjerne dubletter, normalisere og berige dine data, så kaos bliver til klarhed.","USE_CASE":"Anvendelsesområder","HERO_TITLE":"Datarensning, automatiseret.","VIDEO_TITLE":"Det #1 no-code datarensningsværktøj","VIDEO_TEXT":"Udtræk, konvertér og rens data med få klik. Ingen begrænsninger og helt sikkert ingen flere formler.","HERO_DESC":"Stop med at kæmpe med rodede regneark og overfyldte CRM'er. Datablist leverer en kraftfuld og brugervenlig værktøjskasse til at fjerne dubletter, normalisere og berige dine data, så kaos bliver til klarhed.","MASTER_TITLE":"Fra rodede data til indsigter, du kan handle på","MASTER_BODY":"Unøjagtige data koster dig tid og penge. Uanset om de stammer fra flere lead-kilder, scrapet webindhold eller forskellige team-input, fører rodede data til mislykkede kampagner og dårlige beslutninger. Datablist er din centrale hub til at rense, konsolidere og standardisere dine lister i stor skala, så dine data altid er pålidelige og klar til handling.","DEDUPE_CRM_TITLE":"Fjern dubletter i dit CRM og dine lister – intelligent","DEDUPE_CRM_CONTENT_1":"Dit CRM er din primære kilde, men dubletter gør det upålideligt. 'John Smith' og 'Jon Smith' hos 'Example Inc.' vs 'Example LLC' skaber forvirring. Datablist går ud over simpel matching.","DEDUPE_CRM_CONTENT_2":"Vores avancerede algoritmer (fuzzy, fonetisk og smart matching) finder og fletter lignende personer og virksomheder og konsoliderer deres oplysninger uden at miste kritiske data. Rens Pipedrive, HubSpot eller enhver CRM-eksportfil på få minutter.","MERGE_TITLE":"Konsolider data på tværs af flere filer","MERGE_CONTENT_1":"Du har leads i tre forskellige regneark og kundedata i et andet. Hvordan kombinerer du dem uden at skabe flere dubletter? Manuel sammensmeltning af filer er langsom og fejlbehæftet.","MERGE_CONTENT_2":"Datablist gør det nemt. Importér alle dine lister, definér en unik identifikator som en email eller et website, og lad vores værktøjer flette posterne. Vi kombinerer data fra flere kilder til én ren masterliste.","NORMALIZE_TITLE":"Standardiser og normaliser data med et klik","NORMALIZE_CONTENT_1":"Inkonsistente data er ubrugelige data. Telefonnummer i forskellige formater, jobtitler med blandet store/små bogstaver og rodede URL'er forhindrer effektiv filtrering og automatisering. At rette dette manuelt, række for række, er en tidskrævende opgave.","NORMALIZE_CONTENT_2":"Brug Datablists bulk-redigeringsværktøjer til at rette datatyper, rette store/små bogstaver, fjerne ekstra mellemrum og normalisere telefonnumre og URL'er på tværs af tusindvis af poster øjeblikkeligt. Sæt en standard og anvend den på hele dit datasæt.","CLEANING_GRID_TITLE":"Din komplette værktøjskasse til datarensning","CLEANING_GRID_DESC":"Alt, hvad du skal bruge, for at forvandle rå, rodede data til en værdifuld, organiseret ressource.","GRID_DEDUPE_TITLE":"Avanceret deduplikering","GRID_DEDUPE_BODY":"Find og flet lignende poster med smarte, fuzzy og fonetiske matching-algoritmer, som simple regneark ikke kan håndtere.","GRID_MERGE_TITLE":"Flet og konsolider lister","GRID_MERGE_BODY":"Kombinér flere CSV- eller Excel-filer til én masterliste ved hjælp af en unik nøgle til at opdatere og konsolidere poster.","GRID_FIX_TITLE":"Ret datatyper","GRID_FIX_BODY":"Konvertér nemt tekstfelter til strukturerede data som datoer, tal eller checkbokse for nøjagtig sortering og filtrering.","GRID_AI_TITLE":"AI-drevet rensning","GRID_AI_BODY":"Brug vores AI Editing-værktøj til at generere brugerdefinerede skripter fra simple tekstprompts. Håndter komplekse renseopgaver uden at skrive kode.","GRID_ENRICH_TITLE":"Berig og udfyld huller","GRID_ENRICH_BODY":"Fuldend dine poster ved at berige dem med manglende data. Find virksomhedsdomæner, valider emails og hent profilinformation.","GRID_CONSOLIDATE_TITLE":"Konsolider værdier","GRID_CONSOLIDATE_BODY":"Flet modstridende data fra dubletter. Kombinér flere telefonnumre eller noter til én ren post uden at miste information.","LEARN_MORE":"Læs mere","SEE_ALSO":"Se også"},"UseCaseInventoryManagement":{"PAGE_TITLE":"Automatisér din lagerstyring for e‑handel","PAGE_DESC":"Stop med at spilde timer på manuelle opdateringer. Hent, rens, oversæt og synkroniser automatisk leverandørkataloger til alle dine salgskanaler med vores kraftfulde no-code-platform.","USE_CASE":"Anvendelsesområder","HERO_TITLE":"Automatisér din lagerstyring for e‑handel","HERO_DESC":"Stop med at spilde timer på manuelle opdateringer. Hent, rens, oversæt og synkroniser automatisk leverandørkataloger til alle dine salgskanaler med vores kraftfulde no-code-platform.","INTRO_TITLE":"Fra rodede kataloger til perfekte produktlister","INTRO_BODY":"Håndtering af produktdata fra flere leverandører er et mareridt af uens formater, dubletter og endeløse manuelle rettelser. Datablist omdanner dette kaos til et strømlinet, automatiseret workflow, så dit lager altid er korrekt, opdateret og perfekt formateret til enhver markedsplads.","VIDEO_TITLE":"Se AI-redigering i aktion","VIDEO_TEXT":"Se, hvordan du opdaterer katalogets enheder med en simpel prompt. Ingen formler, intet bøvl.","FETCH_TITLE":"Hent leverandørkataloger automatisk","FETCH_CONTENT_1":"Glem manuelle downloads og rodede email-vedhæftninger. Opsæt automatiserede importflows, der henter katalogfiler fra enhver kilde – det kan være en URL, en FTP-server eller en API. Planlæg opdateringer dagligt, ugentligt eller månedligt, så dine data altid er friske.","FETCH_CONTENT_2":"Vores smarte web scrapers kan endda udtrække produktdata direkte fra leverandørers websites, så du får en konstant strøm af de nyeste oplysninger uden at løfte en finger.","TRANSFORM_TITLE":"Transformér og standardisér data med AI","TRANSFORM_CONTENT_1":"Leverandørdata er sjældent klar til din webshop. Brug vores pakke af no-code renseværktøjer til at standardisere kategorier, fjerne juridiske endelser fra brandnavne, formatere priser og flette dubletter.","TRANSFORM_CONTENT_2":"Gå endnu videre med AI-drevne transformationer. Generér automatisk overbevisende produktbeskrivelser, oversæt indhold til internationale markeder, og sørg for, at hver produktside er optimeret til konvertering.","SYNC_TITLE":"Synkroniser til enhver e‑handelsplatform eller markedsplads","SYNC_CONTENT_1":"Når dine data er rene og standardiserede, kan du publicér dem der, hvor du sælger. Datablist forbereder sømløst dit katalog til enhver destination, inklusive Shopify, WooCommerce, Amazon og meget mere.","SYNC_CONTENT_2":"Vores system giver klare statusopdateringer for hver synkronisering med automatiske genforsøg ved fejl. Administrér hele din multikanal-drift fra én pålidelig single source of truth.","BENEFITS_TITLE":"Styrken ved et automatiseret lager-workflow","BENEFITS_SCALE_TITLE":"Håndter enorme kataloger","BENEFITS_SCALE_BODY":"Administrer uden besvær produktlister med hundredtusinder eller endda millioner af varer. Vores platform er bygget til performance og skalering.","BENEFITS_FLEXIBLE_TITLE":"Fleksibel og nem at konfigurere","BENEFITS_FLEXIBLE_BODY":"Vores intuitive no-code-grænseflade lader dig bygge komplekse data-transformation workflows på få minutter, ikke uger. Ingen udviklere påkrævet.","BENEFITS_RELIABLE_TITLE":"Pålidelig og automatiseret","BENEFITS_RELIABLE_BODY":"Opsæt dine workflows én gang og lad dem køre. Med tydelig statussporing og synkroniseringer, der kan forsøges igen, kan du stole på, at dine data altid er, hvor de skal være.","BENEFITS_COST_TITLE":"Kraftfuldt og omkostningseffektivt","BENEFITS_COST_BODY":"Udnyt vores kreditbaserede system og betal kun for det, du bruger. Få automatisering på enterprise-niveau til en brøkdel af prisen for traditionelle løsninger.","TRANSLATE_TITLE":"Oversæt produktkataloger til globale markeder","TRANSLATE_CONTENT_1":"Udvid din e‑handel til internationale markeder ved automatisk at oversætte dine produktkataloger med Datablist AI. Gå videre end simpel oversættelse ved at lokalisere produktnavne, så de matcher, hvordan lokale kunder faktisk søger.","TRANSLATE_CONTENT_2":"Vores AI bevarer kritiske HTML- og JSON-strukturer i beskrivelser og specifikationer og forhindrer tekniske fejl ved genupload til platforme som Shopify eller WooCommerce. Denne kraftfulde no-code-løsning hjælper dig med at skalere globalt til en brøkdel af prisen på traditionelle værktøjer.","TRANSLATE_CTA":"Sådan oversætter du et produktkatalog","FILTER_TITLE":"Dyk ned i ethvert katalog – uanset størrelsen","FILTER_CONTENT_1":"Stop med at slås med regneark, der crasher under vægten af dit lager. Datablist er bygget til at håndtere enorme produktkataloger med op til 1,5 millioner varer og overgår langt grænserne i værktøjer som Airtable eller Google Sheets.","FILTER_CONTENT_2":"Find hurtigt præcis det, du har brug for, med kraftfulde filtreringsværktøjer. Gå ud over simple søgninger ved at kombinere flere betingelser med AND/OR-logik og filtergrupper til avancerede forespørgsler. For maksimal præcision kan du bruge regulære udtryk til at finde produkter baseret på specifikke mønstre i deres SKU'er, titler eller beskrivelser.","FILTER_CONTENT_3":"Gentag ikke dit arbejde. Du kan gemme ethvert sæt af komplekse filtre som et brugerdefineret \"Segment\" for hurtig adgang senere. Disse gemte filtre er perfekte til at skabe dynamiske lister som \"nye varer\" eller \"kampagnevarer\" og deles automatisk med dit team, så alle arbejder ud fra samme visning.","SEE_ALSO":"Se også"},"UseCaseLeadBuilding":{"PAGE_TITLE":"Lead Building til growth teams","PAGE_DESC":"Det bedste værktøj til at dykke ned i lead-lister i stor skala. Organisér, berig og find de perfekte prospects.","HERO_TITLE":"Opbygning af lead-lister til growth teams","USE_CASE":"Use Cases","HERO_DESC":"Det bedste værktøj til at dykke ned i lead-lister i stor skala. Organisér, berig og find de perfekte prospects.","MASTER_TITLE":"Håndter store mængder af leads","MASTER_BODY":"Datablist er designet til at håndtere millioner af poster. Definér din lead-datastruktur, og begynd at arbejde med dine data på en åben og tech-venlig platform. Organisér dine leads med vores regnearks-lignende interface, eller via vores API for at bygge komplekse dataplatforme. Fra dine high-volume lead-lister kan du finde kvalificerede leads at kontakte.","CRM_TITLE":"Byg lead-lister før de lander i din Sales CRM","CRM_CONTENT_1":"CRM-værktøjer er perfekte til at tracke engagerede prospects. Men de egner sig ikke til hundredtusinder af leads. Dit growth team har brug for et datalager forud for CRM'en til at konsolidere og håndtere high-volume leads.","CRM_CONTENT_2":"At gemme kolde leads i din CRM er den bedste måde at forurene den og få dyre fakturaer.","DATABASE_TITLE":"Stop med at gemme leads i en tilpasset database","DATABASE_CONTENT_1":"Opbevarer du dine leads i en tilpasset database, Excel, Airtable eller et datalager? At vælge en af dem betyder kompromiser. Fleksibilitet over skalerbarhed. Eller kompleksitet over enkelhed.","DATABASE_CONTENT_2":"Datablist kombinerer styrken fra en tilpasset database med fleksibiliteten fra Airtable. Spar penge og tid uden kompromiser.","NOCODE_TITLE":"Let at bruge og tech-venligt værktøj","NOCODE_CONTENT_1":"Administrér dine leads med et regnearks-lignende interface. Kraftig filtrering og søgning lader dig udforske hundredtusinder af leads på sekunder.","NOCODE_CONTENT_2":"Med Datablist har CSV-filer førsteklasses status. Importér store CSV-filer og kombiner dem med unikke id'er for at opbygge dine lead-lister. Dine data er dine data. Eksportér dine leads til en CSV-fil for at bruge dem med andre værktøjer med et enkelt klik.","NOCODE_CONTENT_3":"Vil du længere? Automatisér dit dataflow med serverless functions forbundet til vores åbne API.","CENTRALIZE_TITLE":"Centralisér alle dine lead-kilder i ét datalager","CENTRALIZE_SCRAPING_TITLE":"Din scraping-destination","CENTRALIZE_SCRAPING_CONTENT_1":"Udtræk data fra eksterne kilder og gem dem i dit datalager.","CENTRALIZE_SCRAPING_CONTENT_2":"Scrape leads fra sociale netværk (LinkedIn, Facebook, Xing), virksomhedskataloger (Crunchbase, AngelList), online communities osv.","CENTRALIZE_NEWSLETTER_TITLE":"Nyhedsbrevsabonnenter","CENTRALIZE_NEWSLETTER_CONTENT_1":"Track og berig dine mailingliste-abonnenter for at finde prospects med høj værdi.","CENTRALIZE_NEWSLETTER_CONTENT_2":"Brug dine mailingliste-webhooks til at få brugsdata og finde engagerede leads.","CENTRALIZE_SIGNUP_TITLE":"Berig dine nye brugere","CENTRALIZE_SIGNUP_CONTENT_1":"Registrér brugere med midlertidige eller professionelle emailadresser. Berig automatisk dine nye brugere, find deres LinkedIn-profil, og engagér med brugere med højt potentiale.","CENTRALIZE_SIGNUP_CONTENT_2":"Forbind dine produktbrugsdata for at bygge en Customer Data Platform (CDP).","CENTRALIZE_MAGNET_TITLE":"Gem lead magnet-downloads","CENTRALIZE_MAGNET_CONTENT_1":"Gem alle dine nye leads fra whitepaper-downloads, webinars og fysiske events i én liste.","CENTRALIZE_MAGNET_CONTENT_2":"Berig manuelt eller med vores integrerede enrichment APIs for at opdage muligheder.","ENRICH_TITLE":"Ryd op i og berig dine leads","ENRICH_COMPANIES_TITLE":"Berig virksomheder og profiler","ENRICH_COMPANIES_BODY":"Få komplette profiloplysninger med integrerede enrichment-tjenester. Få LinkedIn-konti fra emailadresser, eller emailadresser ud fra dine leads' navne. Berig i stor skala fra enhver tjeneste, eller forbind dine egne.","CLEAN_TITLE":"Ryd op i dine data","CLEAN_BODY":"Hold dine data friske med Datablists læse- og skrive-datalager. Brug vores Data Cleansing-funktioner til at rense dine leads i stor skala. Validér emailadresser for at finde udbydere af midlertidige emailadresser og udeluk dem fra dine kampagner.","DEDUPLICATE_TITLE":"Deduplicer dine leads","DEDUPLICATE_BODY":"Fjern dublet-leads på et øjeblik med Datablist Duplicates Finder. Vælg en eller flere egenskaber for automatisk deduplikering. Flet modstridende data med Datablist Merge Assistant.","MERGE_TITLE":"Opret unikke lead-profiler","MERGE_BODY":"Definér unikhed på dit leads emailadresse eller virksomhedens website for at skabe unikke lead-profiler. Opdatér dine leaddata eller konsolider eksterne lister ved hjælp af dine unikke egenskaber.","SEE_ALSO":"Se også","DATA_SOURCES":"Data- og lead-kilder","DATA_SOURCES_DESCRIPTION":"Boost din pipeline med vores kraftfulde indbyggede lead-kilder!","AI_RESEARCH_AGENT":"AI Research Agent","AI_RESEARCH_AGENT_DESCRIPTION":"Skalér research på dine poster, eller opsæt automatiserede Google-søgninger med én simpel prompt.","ENRICHMENTS":"Berigelser","ENRICHMENTS_DESCRIPTION":"Skab kraftfulde workflows med vores brugervenlige berigelser"},"IndustryRecruiting":{"PAGE_TITLE":"Smartere rekruttering starter her","PAGE_DESC":"Den essentielle no-code platform for rekrutteringsbureauer. Scrape jobopslag, berig virksomhedsdata, og find direkte kontaktoplysninger til ansættelsesansvarlige.","HERO_TITLE":"Smartere rekruttering starter her","INDUSTRY_LABEL":"Brancher","HERO_DESC":"Den essentielle no-code platform for rekrutteringsbureauer. Scrape jobopslag, berig virksomhedsdata, og find direkte kontaktoplysninger til ansættelsesansvarlige.","WHY_DATABLIST_TITLE":"Stop med at lede. Begynd at placere kandidater.","WHY_DATABLIST_BODY":"Manuel sourcing er langsom, repetitiv og giver inkonsistente resultater. Datablist automatiserer de mest trættende dele af sourcing af nye kunder og kandidater, så du kan fokusere på det, du er bedst til: at opbygge relationer og lukke placeringer.","FIND_JOBS_TITLE":"Afdæk alle rekrutteringsmuligheder","FIND_JOBS_CONTENT_1":"Gå aldrig glip af et lead. Brug vores AI Scraper til at udtrække jobopslag fra enhver jobportal som LinkedIn, Indeed, eller fra en liste over målvirksomheders karrieresider.","FIND_JOBS_CONTENT_2":"Opbyg nemt en realtidsdatabase over ledige stillinger, der matcher dine keywords og din ekspertise, og få en konstant strøm af kvalificerede kunde-leads.","FIND_CONTACTS_TITLE":"Identificér de rette beslutningstagere","FIND_CONTACTS_CONTENT_1":"Et jobopslag er kun begyndelsen. Datablist beriger virksomhedsdata for at afdække personerne bag titlerne. Identificér afdelingsledere, team leads og ansættelsesansvarlige i dine målvirksomheder.","FIND_CONTACTS_CONTENT_2":"Segmentér dine lister efter jobtitel, afdeling eller senioritet, så din outreach altid er rettet mod personen med ansættelseskompetence.","GET_DETAILS_TITLE":"Tag direkte kontakt – med det samme","GET_DETAILS_CONTENT_1":"Stop med at spilde tid på at lede efter kontaktoplysninger. Vores kraftfulde waterfall enrichment finder verificerede, professionelle email-adresser og direkte telefonnumre til dine målkontakter.","GET_DETAILS_CONTENT_2":"Med en højere succesrate og en omkostningseffektiv, kreditbaseret model kan du opbygge anvendelige kontaktlister hurtigere og billigere end nogensinde før.","BENEFITS_TITLE":"En unfair fordel for dit bureau","EASY_USE_TITLE":"Kom i gang på få minutter","EASY_USE_BODY":"Kom i gang med det samme med vores intuitive interface, der minder om et regneark. Ingen tekniske færdigheder kræves for at bygge stærke sourcing workflows.","FLEXIBLE_TITLE":"Dit workflow, på din måde","FLEXIBLE_BODY":"Tilpas hvert trin – fra scraping-mål til enrichment-sekvenser. Datablist tilpasser sig din unikke sourcing-strategi, ikke omvendt.","COST_EFFECTIVE_TITLE":"Pay-as-you-go Power","COST_EFFECTIVE_BODY":"Vores kreditbaserede system betyder, at du kun betaler for det, du bruger. Perfekt til bureauer i alle størrelser – fra solorekruttere til store teams.","ALL_IN_ONE_TITLE":"Alt samlet ét sted","ALL_IN_ONE_BODY":"Fra scraping og cleaning til enrichment og eksport. Administrér hele din kunde- og kandidat-datapipeline uden at jonglere med flere værktøjer.","SEE_ALSO":"Se også","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"Udtræk strukturerede data fra ethvert website med en simpel prompt. Perfekt til jobportaler, virksomhedssider og mere.","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESCRIPTION":"Skab kraftfulde workflows med vores brugervenlige enrichments til virksomheds- og kontaktdata.","FAQ_Q1":"Hvordan finder Datablist ledige stillinger?","FAQ_A1":"Vores Job Postings Scraper scanner over 19 store jobportaler, inklusive Indeed og Glassdoor. Du kan også bruge vores AI Agent til automatisk at scrape specifikke virksomheders karrieresider eller enhver niche-jobportal, så du får en konstant strøm af kunde-muligheder.","FAQ_Q2":"Hvordan finder I kontaktoplysninger på ansættelsesansvarlige?","FAQ_A2":"Når du har en liste over virksomheder, finder vores Waterfall People Search enrichment de rette kontakter i de organisationer. Du kan søge efter jobtitel, senioritet eller afdeling for præcist at udpege beslutningstagere.","FAQ_Q3":"Er kontaktoplysningerne præcise og verificerede?","FAQ_A3":"Ja. Vores Waterfall Email Finder og Phone Finder forespørger flere dataleverandører for at finde verificerede, professionelle email-adresser og direkte telefonnumre. Denne multi-source tilgang giver en højere succesrate end værktøjer fra en enkelt leverandør.","FAQ_Q4":"Risikerer jeg min LinkedIn-konto ved at bruge jeres scrapers?","FAQ_A4":"Nej. I modsætning til browser-udvidelser kører vores scrapers fra skyen og kræver ikke dine personlige LinkedIn-loginoplysninger. Det holder din konto 100 % sikker mod begrænsninger eller udelukkelser.","FAQ_Q5":"Hvad koster det?","FAQ_A5":"Datablist bruger et fleksibelt, pay-as-you-go kredit-system. Du betaler kun for de data, du får. For eksempel er en kredit-opfyldning på $20 nok til at scrape tusindvis af jobopslag. Denne model er perfekt til bureauer i alle størrelser og lader dig skalere din sourcing uden en stor upfront-investering.","FAQ_Q6":"Kan jeg målrette stillinger i bestemte brancher eller lokationer?","FAQ_A6":"Ja. Vores job-scrapers har avancerede filtre, der lader dig målrette jobopslag efter keywords, branche, virksomhedsstørrelse, lokation og senioritetsniveau. Du kan endda udelukke rekrutteringsbureauer for kun at fokusere på direkte arbejdsgivere.","FAQ_Q7":"Jeg har rodede kandidatlister. Kan Datablist hjælpe med at rense dem?","FAQ_A7":"Helt sikkert. Datablist inkluderer kraftfulde værktøjer til data cleaning og deduplikering. Du kan nemt flette duplikerede kontakter fra forskellige kilder, standardisere jobtitler og formatere dine data uden komplekse formler.","FAQ_Q8":"Kan jeg automatisere sourcing-processen?","FAQ_A8":"Ja. Du kan planlægge, at job-scrapers kører dagligt, ugentligt eller månedligt. Datablist finder automatisk nye jobopslag, der matcher dine kriterier, og giver dig en stabil kilde til friske leads."},"IndustryVentureCapital":{"PAGE_TITLE":"Operativsystemet for moderne VC'er","PAGE_DESC":"Find, vurder og følg tusindvis af startups med en AI-drevet dataplatform. Drop de rodede regneark og rigide CRM'er. Byg jeres dealflow-motor med Datablist.","INDUSTRY_LABEL":"Brancher","HERO_TITLE":"Operativsystemet for moderne VC'er","HERO_DESC":"Find, vurder og følg tusindvis af startups med en AI-drevet dataplatform. Drop de rodede regneark og rigide CRM'er. Byg jeres dealflow-motor med Datablist.","WHY_DATABLIST_TITLE":"Jeres CRM er ikke bygget til venturekapital","WHY_DATABLIST_BODY":"CRM'er er til salgspipelines, ikke dealflow. De er rigide, dyre og slår fejl, når de skal følge de tusindvis af early-stage-virksomheder på jeres radar. Datablist er en fleksibel, skalerbar datahub designet til at håndtere de unikke dataudfordringer i venturekapital.","SOURCE_DEALS_TITLE":"Find deals, før de bliver almen viden","SOURCE_DEALS_CONTENT_1":"Gå ud over jeres netværk og inbound-forespørgsler. Brug vores AI Scraper til at finde lovende startups fra platforme som ProductHunt, IndieHackers og andre nichekataloger.","SOURCE_DEALS_CONTENT_2":"Få en fordel ved først at identificere virksomheder med stort potentiale og følge spirende trends, før de rammer mainstream.","TRACK_COMPANIES_TITLE":"Følg vækstsignaler – ikke kun fundingrunder","TRACK_COMPANIES_CONTENT_1":"Funding er en efterslæbende indikator for succes. Følg vækstsignaler i realtid, der betyder noget. Vores scrapers til jobportaler identificerer, hvilke startups der ansætter til nøglepositioner—et klart tegn på product-market fit og skalering.","TRACK_COMPANIES_CONTENT_2":"Overvåg ansættelsestendenser for at vurdere en virksomheds kurs og træffe datadrevne investeringsbeslutninger.","SCORE_STARTUPS_TITLE":"Byg tilpassede scoringmodeller med AI","SCORE_STARTUPS_CONTENT_1":"Stop med kun at stole på mavefornemmelsen. Brug vores AI Editing-værktøjer til at bygge kraftfulde, tilpassede scoringsalgoritmer. Ranger startups baseret på teamets erfaring, tech stack, markedssignaler og jeres egne unikke kriterier.","SCORE_STARTUPS_CONTENT_2":"Identificer systematisk og fokuser jeres teams energi på de øverste 1 % af mulighederne i jeres pipeline.","DILIGENCE_TITLE":"Alle de værktøjer, I skal bruge til due diligence og tracking","FEATURE_DATA_TITLE":"Datakonsolidering","FEATURE_DATA_BODY":"Rens, deduplikér og flet data fra flere kilder i én masterliste. Hold jeres startup-database ren og pålidelig.","FEATURE_ENRICH_TITLE":"Virksomhedsberigelse","FEATURE_ENRICH_BODY":"Berig automatisk virksomhedsprofiler med firmografiske data, tech stacks, websitedata og mere for et 360-graders overblik.","FEATURE_CONTACTS_TITLE":"Outreach til founders","FEATURE_CONTACTS_BODY":"Find verificerede emails og telefonnumre på founders og nøgleledere med vores Waterfall Enrichment. Få den første kontakt til at tælle.","FEATURE_API_TITLE":"API & integrationer","FEATURE_API_BODY":"Forbind Datablist til jeres interne værktøjer og automatiser hele jeres data workflow med vores fleksible, udviklervenlige API.","SEE_ALSO":"Se også","VIDEO_TITLE":"Se AI Agent i aktion","VIDEO_TEXT":"Se, hvordan AI Agent kan besøge en liste med startup-websites og udtrække strukturerede kontaktoplysninger. En opgave, som traditionelle scrapers ikke kan løse.","FAQ_Q1":"Hvordan adskiller Datablist sig fra et traditionelt CRM?","FAQ_A1":"CRM'er er designet til lineære salgsprocesser og bliver uoverskuelige, når man skal følge tusindvis af potentielle deals. Datablist er en fleksibel datahub bygget til skalaen og kompleksiteten i venturekapitalens dealflow, så I kan håndtere enorme mængder startup-data uden rigiditeten i en salgspipeline.","FAQ_Q2":"Kan Datablist hjælpe os med at finde nye startups?","FAQ_A2":"Ja. I kan bruge vores AI Agent til at scrape startup-kataloger som ProductHunt eller IndieHackers for at finde lovende virksomheder, før de kommer på alles radar. Det hjælper jer med at opdage deals med stort potentiale tidligt.","FAQ_Q3":"Hvilke typer vækstsignaler kan vi følge?","FAQ_A3":"I stedet for kun at læne jer op ad funding-annonceringer kan I følge vækstindikatorer i realtid. Vores scrapers til jobportaler finder startups, der aktivt ansætter til nøglepositioner, hvilket er et stærkt signal om vækst og product-market fit.","FAQ_Q4":"Hvordan fungerer AI-scoringmodellen?","FAQ_A4":"I kan bygge tilpassede scoringmodeller med vores AI-værktøjer. I definerer de kriterier, der er vigtige for jeres tese—som teamets erfaring, tech stack eller markedstendenser—og AI'en genererer et script til at rangere alle startups i jeres pipeline, så I kan fokusere på de bedste muligheder.","FAQ_Q5":"Vores data er rodede og spredt ud over flere regneark. Hvordan kan I hjælpe?","FAQ_A5":"Datablist er stærk til datakonsolidering. I kan importere data fra flere kilder og derefter bruge vores værktøjer til at rense, deduplikere og flette alt til en enkelt, pålidelig masterliste over startups.","FAQ_Q6":"Hvordan håndterer Datablist tusindvis af virksomheder? Bliver det langsomt?","FAQ_A6":"Datablist er bygget til at håndtere store datasæt og klarer op til 1,5 millioner poster pr. liste—langt over grænserne for regneark eller værktøjer som Airtable. I kan filtrere, sortere og administrere tusindvis af virksomheder hurtigt uden performanceproblemer.","FAQ_Q7":"Kan I hjælpe os med at finde kontaktoplysninger på founders?","FAQ_A7":"Ja. Når I har identificeret en lovende startup, kan vores Waterfall Enrichment-værktøjer finde verificerede emails og telefonnumre på founders og nøglepersoner, så jeres første outreach bliver mere effektiv.","FAQ_Q8":"Skal vi bruge en udvikler for at bruge Datablist?","FAQ_A8":"Nej. Datablist er en no-code platform med en brugervenlig regnearksgrænseflade. I kan bygge komplekse data workflows—fra sourcing til scoring—uden at skrive kode."},"IndustryRetailAndECommerce":{"PAGE_TITLE":"Strømlin din detail- og e-handelsdrift","PAGE_DESC":"Administrer dine produktkataloger, leverandørfeeds og kundedata nemt. Datablist er den fleksible no-code-platform til detail- og e-handelsvirksomheder.","HERO_TITLE":"Strømlin din detail- og e-handelsdrift","INDUSTRY":"Branche","HERO_DESC":"Administrer dine produktkataloger, leverandørfeeds og kundedata nemt. Datablist er den fleksible no-code-platform til detail- og e-handelsvirksomheder.","MASTER_TITLE":"Dit centrale hub for e-handelsdata","MASTER_BODY":"Stop med at jonglere med flere regneark og komplekse databaser. Datablist giver dig én, brugervenlig platform til at administrere alle dine e-handelsdata. Vores fleksible no-code-interface og kreditbaseret prissætning gør det til en omkostningseffektiv løsning for virksomheder i alle størrelser.","PRODUCT_CATALOG_TITLE":"Konsolider og rens dit produktkatalog","PRODUCT_CATALOG_CONTENT_1":"Importer produktdata fra enhver kilde og konsolider dem i ét samlet, rent katalog. Vores kraftfulde værktøjer til datarensning hjælper dig med at standardisere enheder, priser og endda fjerne HTML fra beskrivelser.","PRODUCT_CATALOG_CONTENT_2":"Med Datablist kan du nemt administrere tusindvis af produkter og sikre, at dine data altid er nøjagtige og opdaterede.","SUPPLIER_FEEDS_TITLE":"Automatiser dine leverandørfeeds","SUPPLIER_FEEDS_CONTENT_1":"Hent automatisk leverandørernes pris- og lagerfeeds for at holde dit lager synkroniseret. Datablist kan forbinde til eksterne API'er, så integration med dine leverandørers systemer er nem.","SUPPLIER_FEEDS_CONTENT_2":"Spar tid og reducer fejl ved at automatisere denne kritiske del af din drift.","FEATURES_TITLE":"Alt, du skal bruge for at få succes","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"Konsolider produktkataloger","CONSOLIDATE_PRODUCT_CATALOG_BODY":"Flet produktdata fra flere leverandører og kilder i ét masterkatalog.","CLEAN_DATA_TITLE":"Rens dine data","CLEAN_DATA_BODY":"Standardiser og rens produktinformation, inkl. enheder, priser og HTML, for et ensartet og professionelt udtryk.","TRANSLATE_PRODUCT_TITLE":"Oversæt produktinformation","TRANSLATE_PRODUCT_BODY":"Oversæt nemt produkttitler og -beskrivelser for at nå et globalt publikum.","GENERATE_PRODUCT_TEXT_TITLE":"Generer produkttekster med AI","GENERATE_PRODUCT_TEXT_BODY":"Brug AI til at generere overbevisende produktbeskrivelser og andet indhold, så du sparer tid og kræfter.","SYNC_TO_EXTERNAL_APIS_TITLE":"Synkroniser til eksterne API'er","SYNC_TO_EXTERNAL_APIS_BODY":"Integrer med dine andre værktøjer og systemer ved at synkronisere dine data med eksterne API'er.","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"Hent leverandørfeeds","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"Opdater automatisk din produktinformation ved at hente de nyeste pris- og lagerfeeds fra dine leverandører.","AGGREGATE_ORDER_FEEDS_TITLE":"Aggreger ordrefeeds","AGGREGATE_ORDER_FEEDS_BODY":"Få et komplet overblik over dit salg ved at aggregere ordrefeeds fra alle dine kanaler.","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"Administrer kunde- og målgruppelister","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"Hold dine kunde- og målgruppelister rene og velorganiserede for mere effektive marketingkampagner.","FAQ_Q1":"Mine produktdata er noget rod og kommer fra flere leverandører i forskellige formater. Hvordan kan Datablist hjælpe?","FAQ_A1":"Denne udfordring er Datablist skabt til at løse. Du kan importere produktdata fra flere CSV- eller Excel-filer til ét samlet masterkatalog. Vores Duplicates Finder hjælper dig derefter med at flette dublerede produktposter, og du kan endda summere numeriske værdier som lagerantal automatisk.","FAQ_Q2":"Kan Datablist oversætte mine produktbeskrivelser uden at ødelægge HTML- eller JSON-formateringen?","FAQ_A2":"Ja. Vores AI-drevne oversætter, som bruger modeller som ChatGPT, kan håndtere komplekst indhold. Du kan give tilpassede instruktioner, så den kun oversætter teksten og bevarer alle dine HTML-tags og JSON-strukturer, hvilket er perfekt til e-handelskataloger.","FAQ_Q3":"Mit regneark går ned med vores store produktkatalog. Hvor mange produkter kan Datablist håndtere?","FAQ_A3":"Regneark har det svært med store datasæt, men Datablist er bygget til skala. Du kan nemt håndtere produktkataloger med op til 1,5 millioner poster pr. collection — langt ud over grænserne i værktøjer som Airtable eller Google Sheets.","FAQ_Q4":"Hvordan importerer jeg mit katalog fra en platform som Shopify eller WooCommerce?","FAQ_A4":"E-handelsplatforme som Shopify og WooCommerce lader dig eksportere dit produktkatalog som en CSV-fil. Du kan importere den CSV-fil direkte i Datablist for at begynde at rense, berige eller oversætte dine data.","FAQ_Q5":"Kan jeg automatisere hentning af pris- og lageropdateringer fra mine leverandører?","FAQ_A5":"Ja. Hvis dine leverandører leverer data via en API, kan du bruge vores datakilde 'Import from a remote CSV or JSON file' til automatisk at hente og opdatere din produktinformation. Det hjælper med at holde lager og priser synkroniseret uden manuelt arbejde.","FAQ_Q6":"Er Datablist et godt værktøj for e-handelsbureauer, der håndterer flere kundekataloger?","FAQ_A6":"Helt sikkert. Du kan oprette separate collections for hver kundes produktkatalog og organisere dem i mapper for nem styring. Det gør det til et centralt, effektivt hub for alle dine opgaver med datarensning og -styring.","FAQ_Q7":"Hvordan kan jeg rydde op i inkonsistente produktdata, som priser eller HTML i beskrivelser?","FAQ_A7":"Datablist tilbyder flere værktøjer til datarensning, der er perfekte til produktkataloger. Du kan konvertere tekst med HTML-tags til ren tekst, normalisere tal med forskellige skilletegn, fjerne ekstra mellemrum og ændre tekstens case, så dine data bliver konsistente.","FAQ_Q8":"Kan AI hjælpe mig med at skrive unikke produktbeskrivelser?","FAQ_A8":"Ja. Du kan bruge vores 'Ask ChatGPT'-enrichment til at generere overbevisende produktbeskrivelser ud fra dine produktegenskaber. Det sparer tid og hjælper dig med at skabe unikt indhold i stor skala."},"IndustrySaaSAI":{"PAGE_TITLE":"Din GTM Co-pilot til SaaS- og AI-startups","PAGE_DESC":"Stop med at jonglere med rodede regneark og dyre værktøjer. Datablist er din alt-i-én platform til at finde, rense og berige leads, så du kan fokusere på at lukke aftaler.","HERO_TITLE":"Din GTM Co-pilot til SaaS- og AI-startups","INDUSTRY_LABEL":"Brancher","HERO_DESC":"Stop med at jonglere med rodede regneark og dyre værktøjer. Datablist er din alt-i-én platform til at finde, rense og berige leads, så du kan fokusere på at lukke aftaler.","MASTER_TITLE":"Byg din salgsmotor – hurtigere","MASTER_BODY":"Som startup er fart alt. Du har brug for en konstant strøm af kvalificerede leads, men at opbygge en salgspipeline er tidskrævende. Datablist strømliner hele processen – fra at finde prospects til at personalisere outreach – alt sammen i én nem, no-code platform.","PROBLEM_TITLE":"Det er din lead gen, der er i stykker – ikke dit produkt","PROBLEM_CONTENT_1":"Du scraper data, køber lister og eksporterer fra dit CRM, men ender med rod. Regneark går ned, data bliver forældet, og dit team spilder timer på manuel dataindtastning i stedet for at sælge.","PROBLEM_CONTENT_2":"Skræddersyede databaser er en ressourcesluger, og flere abonnementer på forskellige værktøjer bliver hurtigt dyrt. Denne ineffektivitet koster dig aftaler.","SOLUTION_TITLE":"Én platform til at bygge, rense og berige","SOLUTION_CONTENT_1":"Datablist kombinerer kraften fra en database med enkelheden i et regneark. Det er et fleksibelt no-code-værktøj designet til GTM-teams i hurtigtgående startups.","SOLUTION_CONTENT_2":"Konsolider alle dine lead-kilder, ryd op i rodede data, berig kontakter med friske informationer, og automatiser dine workflows uden at skrive en eneste linje kode. Det er den fleksible, omkostningseffektive løsning, du behøver for at skalere.","FEATURES_TITLE":"Alt du behøver for at sætte fart på din vækst","GRID_SOURCE_TITLE":"Find leads med høj købsintention","GRID_SOURCE_BODY":"Gå videre end statiske databaser. Brug vores Job Board Scraper til at finde virksomheder, der aktivt ansætter — et klart signal om, at de har budget og et problem, der skal løses. Få friske leads dagligt.","GRID_SCRAPE_TITLE":"AI-drevet scraping","GRID_SCRAPE_BODY":"Byg unikke lead-lister, som dine konkurrenter ikke kan købe. Vores AI Agent scraper enhver website for at finde nichedata, kundecases eller specifikke teknologier, en virksomhed bruger.","GRID_PERSONALIZE_TITLE":"Personliggør outreach i stor skala","GRID_PERSONALIZE_BODY":"Stop med at sende generiske emails. Brug AI Agent til at samle unikke indsigter for hver prospect. Find samtalepunkter, der viser, at du har gjort dit hjemmearbejde, og få flere svar.","GRID_DEDUPE_TITLE":"Deduplicer og flet","GRID_DEDUPE_BODY":"Ryd op i dine lead- og kundelister med vores kraftige Duplicates Finder. Flet dubletter fra flere kilder uden at miste værdifulde data, og sikr en single source of truth.","GRID_CLEAN_TITLE":"Rens og berig dit CRM","GRID_CLEAN_BODY":"Hold dine CRM-data præcise og opdaterede. Validér emails, standardiser virksomhedsnavne, og berig poster med friske data fra LinkedIn og andre udbydere for at forbedre kampagneresultater.","GRID_AUTOMATE_TITLE":"Automatiser dine workflows","GRID_AUTOMATE_BODY":"Opsæt tilbagevendende opgaver for at få en konstant strøm af nye, berigede leads. Planlæg scrapers og enrichments til at køre dagligt eller ugentligt, så dit salgsteam altid har en fuld pipeline.","WORKFLOW_TITLE":"Et gennemprøvet workflow til leads i høj kvalitet","WORKFLOW_STEP1_TITLE":"1. Find virksomheder med købsintention","WORKFLOW_STEP1_CONTENT_1":"Start med at finde virksomheder med et klart behov. Brug vores Job Postings Scraper til at identificere virksomheder, der aktivt ansætter til roller, som dit produkt eller din service understøtter.","WORKFLOW_STEP1_CONTENT_2":"Det er et af de stærkeste signaler om, at de har budget og et presserende problem, der skal løses.","WORKFLOW_STEP2_TITLE":"2. Find beslutningstagere og kontaktinfo","WORKFLOW_STEP2_CONTENT_1":"Når du har dine target accounts, så brug vores Waterfall People Search til at finde de rigtige kontakter i de virksomheder — som fx Head of Sales eller en Marketing Director.","WORKFLOW_STEP2_CONTENT_2":"Brug derefter vores email- og phone finders til at få verificeret kontaktinformation.","WORKFLOW_STEP3_TITLE":"3. Saml indsigt til personalisering","WORKFLOW_STEP3_CONTENT_1":"Her får du en unfair fordel. Brug AI Agent til at researche hver prospect. Bed den om at finde deres seneste blogindlæg, kundecases eller endda hvilke SaaS-værktøjer de bruger.","WORKFLOW_STEP3_CONTENT_2":"Du får unikke indsigter til at skrive outreach-beskeder, der skiller sig ud og får svar.","WORKFLOW_STEP4_TITLE":"4. Rens og færdiggør din liste","WORKFLOW_STEP4_CONTENT_1":"Før du starter din outreach, skal du køre den endelige liste gennem vores Duplicates Finder. Den fletter eventuelle duplikerede kontakter eller virksomheder og sikrer en ren, organiseret liste.","WORKFLOW_STEP4_CONTENT_2":"Nu er din liste klar til at blive synkroniseret til dit sales CRM eller din email sequencer.","SEE_ALSO":"Se også","FAQ_Q1":"Hvordan adskiller Datablist sig fra en standard B2B-database som ZoomInfo eller Apollo?","FAQ_A1":"Hvor B2B-databaser leverer statisk, forudindsamlet data, giver Datablist dig mulighed for at bygge friske, proprietære lead-lister fra live kilder. Du kan bruge vores Job Scrapers til at finde virksomheder, der aktivt ansætter — et stærkt købssignal. Vores AI Agent kan også udføre custom web scraping for at indsamle nichedata, som ingen database tilbyder, hvilket giver dig en unik konkurrencefordel.","FAQ_Q2":"Min startup har brug for leads i høj kvalitet – hurtigt. Hvordan kan Datablist hjælpe?","FAQ_A2":"Datablist er designet til fart. Du kan starte med at finde virksomheder med akut behov via vores Job Postings Scraper, som samler data fra over 19 jobportaler. Brug derefter vores Waterfall enrichment-værktøjer til hurtigt at finde beslutningstagere og deres verificerede kontaktinformation. Hele workflowet – fra at finde accounts til at have en outreach-klar liste – kan gøres på få minutter.","FAQ_Q3":"Har jeg brug for en udvikler eller tekniske kompetencer for at bruge Datablist?","FAQ_A3":"Nej, Datablist er en no-code platform. Den kombinerer en brugervenlig regnearksgrænseflade med kraftfuld AI og automatiseringsværktøjer. Du kan udføre komplekse opgaver som web scraping, datarensning og enrichment med simple prompts i naturligt sprog og en point-and-click-grænseflade. Den er bygget til GTM-teams – ikke udviklere.","FAQ_Q4":"Hvordan hjælper Datablist mit salgsteam med email-personalisering?","FAQ_A4":"Generisk outreach virker ikke. Datablists AI Agent fungerer som en research-assistent for dit salgsteam. Du kan bede den besøge hver prospects website og finde unikke samtalepunkter som nylige kundecases, specifikke teknologier de bruger, eller virksomhedsnyheder. Det gør det muligt at skrive stærkt personaliserede beskeder i stor skala og markant øge svarraterne.","FAQ_Q5":"Vi har rodede lead-lister fra flere kilder. Hvordan håndterer Datablist rensning og deduplikering?","FAQ_A5":"Datablist er stærk til datahygiejne. Vores Duplicates Finder bruger avancerede algoritmer, inkl. fuzzy matching, til at identificere lignende poster på tværs af flere filer – selv med små variationer i navne eller detaljer. Du kan derefter automatisk flette dubletter, kombinere modstridende information (fx flere telefonnumre) uden at miste data og standardisere felter for at skabe en single source of truth, der er ren og ensartet.","FAQ_Q6":"Kan jeg automatisere lead generation for at få en kontinuerlig strøm af prospects?","FAQ_A6":"Ja. Datablist er bygget til automatisering. Du kan planlægge dine datakilder, fx Job Postings Scraper, til at køre dagligt eller ugentligt. Det sikrer, at dit team altid har en frisk liste over virksomheder med høj købsintention at målrette, hvilket skaber en konsistent og forudsigelig salgspipeline med minimalt manuelt arbejde.","FAQ_Q7":"Er prismodellen omkostningseffektiv for en startup?","FAQ_A7":"Helt sikkert. Datablist bruger et kreditbaseret system til enrichments, så du kun betaler for det, du bruger — ideelt for startups, der styrer et budget. Mange funktioner som Free Email Validator er ubegrænsede, og vores betalte planer er designet til at være langt mere budgetvenlige end at abonnere på flere, separate værktøjer til scraping, rensning og enrichment.","FAQ_Q8":"Hvordan integrerer Datablist med vores eksisterende CRM og salgsværktøjer?","FAQ_A8":"Datablist er designet til at passe ind i jeres eksisterende workflow. Vi tilbyder en direkte integration med Pipedrive for sømløs datasynkronisering. For andre CRM’er som HubSpot eller Salesforce kan I nemt eksportere jeres rensede og berigede lister som CSV- eller Excel-filer til hurtig import. I kan også forbinde Datablist med tusindvis af apps via værktøjer som Zapier."},"Alternatives":{"HERO_DESC":"Datablist er et Lead Management-værktøj og et godt alternativ til {toolName}. Datablist er det perfekte værktøj til at bygge skræddersyede workflows til leadgenerering. Sammenlign Datablist og {toolName}, og se hvilket værktøj der passer bedst til dig.","WHAT_IS_TITLE":"Hvad er {toolName}?","WHAT_IS_DESC":"{toolName} er et SaaS-værktøj, der hjælper salgsteams med at køre outreach-kampagner. Det integrerer flere databerigelsestjenester og automatiserer udarbejdelsen af personaliserede outreach-beskeder med AI. Derefter integrerer {toolName} med CRM'er og outreach-værktøjer for at sende kampagnerne.","COMPARISON_TITLE":"Hvor er Datablist bedre?","COMPARISON_CONTENT_1":"Datablist og {toolName} er to værktøjer til at håndtere lead-lister.","COMPARISON_CONTENT_2":"Datablist fokuserer på datavask, deduplikering af leads og skræddersyede workflows med vores REST API. Datablist er hurtig og kan håndtere hundredtusindvis af leads uden problemer.","COMPARISON_CONTENT_3":"Clay fokuserer på sourcing af leads og waterfall enrichments.","COMPARISON_CONTENT_4":"Hvis du vil opbygge en centraliseret leads-database med avanceret deduplikering og kraftig datavask for at sikre datakvalitet, er Datablist noget for dig.","BENEFITS_TITLE":"Hvorfor skifter teams fra {toolName} til Datablist?","COST_EFFECTIVE_TITLE":"Datablist er et billigere alternativ til {toolName}","COST_EFFECTIVE_DESC":"Clay har en begrænset gratis plan. Clays starter-plan starter ved $149/md. med kun 2.000 credits. Datablist har et billigere månedligt abonnement og billigere kreditpakker. Jo mere du bruger værktøjet til scraping, datavask og databerigelse af dine leads, desto mere sparer du ved at bruge Datablist.","CLEANING_TITLE":"Avancerede værktøjer til datavask og deduplikering","CLEANING_DESC":"Datablist tilbyder avancerede værktøjer til datavask. Fra konvertering af datatyper til datanormalisering overgår Datablist regnearksværktøjer, når datavask skal skaleres. Deduplikering af leads er en indbygget Datablist-funktion. Fuzzy matching og avanceret sammenfletning af dubletter forhindrer, at du beriger det samme lead to gange.","API_TITLE":"Kan udvides via API","API_DESC":"Datablists datalager er fuldt tilgængeligt via API. Opret collections, properties og items med vores RESTful API. Bruger du Make.com eller Zapier? Forbind dem til Datablist via API'et for at bygge kraftfulde outreach workflows.","SCALE_TITLE":"Håndter større lister","SCALE_DESC":"Datablist håndterer op til 100.000 poster med cloud sync og op til 2 millioner poster til datamanipulation, transformation og datavask. Skaler din lead management uden performance-problemer.","SUPERIOR_TITLE":"Datablist: Et bedre alternativ til leadgenerering","SUPERIOR_INTRO":"Hos Datablist forstår vi de udfordringer, brugere møder med andre værktøjer til leadgenerering som Clay. Derfor har vi designet vores platform til at være brugervenlig, hurtig og let at integrere i dine eksisterende workflows. Vores intuitive interface sikrer en gnidningsfri opsætning med minimal læringskurve, så du hurtigt kan begynde at generere leads uden besvær.","ACCURATE_DATA_TITLE":"Præcise og pålidelige data","ACCURATE_DATA_DESC":"Vi prioriterer datanøjagtighed, så du får opdaterede og korrekte kontaktoplysninger. Det betyder mere effektive outreach-kampagner og bedre konverteringsrater. Sig farvel til inkonsistenser og forældede data, som du oplever på andre platforme.","AFFORDABLE_PRICING_TITLE":"Overkommelige priser","AFFORDABLE_PRICING_DESC":"Datablist tilbyder konkurrencedygtige og gennemsigtige priser, der passer til virksomheder i alle størrelser. Vores omkostningseffektive model sikrer, at du får mest værdi uden uventede udgifter. I modsætning til andre værktøjer skal du ikke bekymre dig om, at omkostningerne hurtigt løber løbsk.","RESPONSIVE_SUPPORT_TITLE":"Responsiv kundesupport","RESPONSIVE_SUPPORT_DESC":"Vores dedikerede supportteam er altid klar til at hjælpe dig, så eventuelle problemer bliver løst hurtigt og effektivt. Vi er stolte af vores hurtige svartider og ekspert-support, så du kan fokusere på det vigtigste - at vækste din forretning.","SUPERIOR_CONCLUSION":"Vælg Datablist for en gnidningsfri, pålidelig og overkommelig oplevelse med leadgenerering.","SEE_ALSO":"Se også","ENRICHMENTS":"Databerigelser","ENRICHMENTS_DESC":"Opdag vores databerigelsestjenester, som forbedrer dine leaddata med virksomhedsoplysninger, kontaktoplysninger og mere.","DATA_SOURCES":"Datakilder","DATA_SOURCES_DESC":"Udforsk alle tilgængelige datakilder for at importere og scrape data fra forskellige platforme og websites.","API_DOCS":"API-dokumentation","API_DOCS_DESC":"Lær at integrere Datablist med dine eksisterende workflows ved hjælp af vores omfattende REST API.","LEAD_BUILDING":"Opbygning af lead-lister","LEAD_BUILDING_DESC":"Bliv skarp til at opbygge lead-lister i høj kvalitet med vores omfattende guide og værktøjer."},"AIPrompts":{"metadata":{"title":"AI Prompts","description":"Brug vores AI prompts til at forbedre leadgenerering, data-berigelse og datavask. Disse prompts hjælper dig med at finde leads af høj kvalitet og holde dine data nøjagtige. Brug AI til at identificere potentielle kunder og opdatere lead-information. Perfekt til virksomheder, der vil skalere med AI-drevne værktøjer, som optimerer lead management."},"breadcrumb":{"home":"Hjem","aiPrompts":"AI Prompts"},"header":{"category":"AI-værktøjer til forretningsvækst","title":"Top AI Prompts til leadgenerering, data-berigelse og datavask","description":"Automatiser søgning efter leads, berigelse og datavask. Disse AI prompts skalerer dine GTM workflows."},"enrichment":{"title":"AI Agent Prompts (Berigelse)","description":"Brug disse prompts til at berige dine eksisterende items. Kør disse AI prompts på dine nuværende records for at finde manglende detaljer, lave research eller analysere information for hver række."},"dataSource":{"title":"Source AI Agent Prompts (Datakilde)","description":"Disse prompts opretter nye items. Brug dem til at scrape websites for struktureret information, finde kontakter der matcher specifikke kriterier, eller bygge målrettede lister fra bunden med AI. Start med en URL, en instruktion eller input fra en anden collection for at generere friske data."},"cta":"Se prompt","detail":{"metadataTitle":"ChatGPT-prompt til: {title}","metadataNotFound":"AI Prompt ikke fundet","pageTitle":"ChatGPT-prompt til: {title}","pageTitleDataSource":"AI Agent-prompt: {title}","breadcrumbHome":"Hjem","breadcrumbEnrichments":"Enrichments Store","breadcrumbAIPrompts":"AI Prompts","copiedText":"Prompt kopieret","copyText":"Kopiér prompt til udklipsholderen","relatedPrompts":"Relaterede prompts"},"enrichmentContent":{"howToTitle":"Hvordan bruger jeg denne prompt på en CSV-fil?","howToIntro":"**Datablist lader dig tage en hel CSV-fil og køre prompts direkte på hver linje.**","howToTemplates":"Den gode nyhed er, at den prompt du skal bruge allerede findes i Datablist under \"Templates\"-sektionen. Du behøver ikke at starte fra bunden! Vælg blot den skabelon, der passer til din opgave, og så er den klar til at køre på hver linje i din CSV. Det gør det endnu nemmere at transformere dine data med få klik.","openDatablist":"Åbn Datablist","noSignup":"Ingen tilmelding nødvendig","step1":"Importer din CSV-fil i Datablist. Vælg derefter \"Enrich\" i headeren.","step2":"Vælg skabelonen: **{title}**","step2Image":"Vælg skabelon","step3":"Erstat variablerne i prompten med din collection's properties ved at bruge `/` eller '{{'.","step3Image":"Definér variabler med din collection's properties","step4":"Hvis du ikke har alle variablerne, så redigér bare prompten.","step5":"**Det var det!** Du kan nu køre prompten på hver linje i din CSV-fil og få resultaterne i en ny kolonne. 🚀","costTitle":"Hvad koster det?","costIntro":"Du har to muligheder. Begge er super simple.","option1Title":"Valgmulighed 1 – Brug din egen OpenAI API-nøgle.","option1Desc1":"Helt gratis hos os. Tilslut bare din nøgle, og Datablist sender forespørgsler via din konto. Du betaler OpenAI direkte baseret på deres forbrugspriser. Ingen mellemmand. Ingen ekstra gebyrer.","option1Desc2":"Med din API-nøgle vil du for 1.000 items måske betale OpenAI omkring **$2**.","option1Desc3":"Det er perfekt, hvis du allerede har en OpenAI-nøgle eller vil have fuld kontrol over omkostningerne.\n**Bonus:** ingen rate limits fra os!","option2Title":"Valgmulighed 2 – Brug Datablist Credits.","option2Desc1":"Ingen API-nøgle? Intet problem. Du kan bruge Datablists indbyggede ChatGPT-konto. Vi håndterer API-delen for dig. Du betaler bare med Datablist credits.","option2List1":"Opsætning af API-nøgle – springes over","option2List2":"ChatGPT rate limits – undgås","option2List3":"Kontobegrænsninger – ikke dit problem","option2Desc2":"Det virker bare.","tldr":"TL;DR","tldrKey":"**Brug din nøgle** = billigere","tldrCredits":"**Brug Datablist credits** = nemmere","tldrEnd":"Uanset hvad har du kontrollen.","aiAgentTitle":"Bemærkning om AI Agent-prompts","aiAgentDesc1":"Denne prompt er lavet til Datablist [AI Agent](/enrichments/ai-agent) berigelse. **En AI Agent er et smart værktøj, der bruger kunstig intelligens (AI) til at udføre opgaver for dig. Den kan browse websites, bruge Google til at finde information og interagere med forskellige onlinetjenester.** Det betyder, at den kan hjælpe dig med realtidsdata og opdaterede svar.","aiAgentDesc2":"ChatGPT API'en kan derimod kun analysere input-teksten og svare baseret på sin eksisterende viden. Den har ikke mulighed for at tilgå internettet eller indsamle ny information på egen hånd.","aiAgentDesc3":"En AI Agent giver en mere dynamisk oplevelse ved at trække realtidsdata ind, mens ChatGPT API'et bygger på eksisterende viden for at besvare forespørgsler.","aiAgentDesc4":"**Når du interagerer direkte på [https://chatgpt.com/](https://chatgpt.com/), interagerer du med en Agent. Nogle gange går den online for at give ekstra information til din prompt (men ikke ofte). Andre værktøjer, der er forbundet til ChatGPT, bruger dog API'et. Så husk, at denne prompt ikke kan bruges i et andet værktøj, der kalder ChatGPT API'et.**","aiAgentDesc5":"Datablist [AI Agent](/enrichments/ai-agent) kører en agent på hver linje i din CSV."},"aiScraperContent":{"howToTitle":"Sådan bruger du denne AI-prompt","step1Title":"**Opret en ny Collection**: Start med at oprette en ny, tom collection i Datablist, hvor dataene gemmes. Klik på '+ Create new collection' i sidepanelet.","step1ImageAlt":"AI web scraping > Traditionel web scraping","step2Title":"**Vælg AI Agent-kilden**: Klik \"See all sources\" eller gå til \"Import\" -> \"Import From Data Sources\". Vælg \"AI Agent - Site Scraper\".","step2ImageAlt":"Vælg AI Agent - Site Scraper","step3Title":"**Konfigurer kilden:**","step3Item1":"**Select Template**: Find og vælg prompten fra \"Template\"-dropdown-menuen. Prompten ovenfor bliver automatisk indlæst.","step3Item2":"**URL to Scrape**: Indtast din URL, der skal scrapes","step3Item3":"**Enable Pagination (Optional)**: Hvis resultaterne er på flere sider, markér ***Enable Pagination*** og angiv en fornuftig grænse for ***Max Pages*** (fx 10).","step3Item4":"**Customize (Optional)**: Du kan justere AI-modellen (fx er GPT-4o mini ofte omkostningseffektiv), redigere prompten til specifikke behov eller ændre de forventede ***Outputs***.","step3ImageAlt":"AI web scraping > Traditionel web scraping","step4Title":"**Gennemse Outputs**: Klik ***Continue***. Datablist viser de outputfelter, der er defineret i prompten (Project Name, Client Company Name). Klik på ***+***-ikonet ved hver for at oprette de tilsvarende properties (kolonner) i din collection.","step4ImageAlt":"Outputs","step5Title":"**Kør import**: Klik ***Run import now***. AI Agenten begynder at scrape websitet baseret på prompten og udfylder din collection.","pricingTitle":"Priser","pricingDesc":"Denne datakilde bruger Datablist credits efter forbrug. Omkostningerne afhænger af websitets kompleksitet og antallet af besøgte sider.","pricingTest":"Test ved først at køre AI Agenten på en enkelt side for at få et estimat af omkostningen.","faqTitle":"FAQ","faq1Question":"Hvordan starter jeg endnu en kørsel med samme konfiguration?","faq1Answer":"Når du har kørt din AI Agent, skal du klikke på den lyserøde knap øverst til højre i din datatabel for at åbne den igen med dine senest brugte indstillinger.","faq1ImageAlt":"Brug dine eksisterende agent-indstillinger","faq2Question":"Hvad sker der, hvis AI Agenten forsøger at tilgå et beskyttet website eller bliver blokeret?","faq2Answer":"AI Agenten bruger automatisk proxyservere, når det er nødvendigt, for at tilgå websites med scraping-beskyttelse eller geografiske begrænsninger. Det øger chancen for vellykket dataudtræk, men meget tungt beskyttede sider kan stadig give udfordringer.","faq3Question":"Hvor meget data kan jeg behandle med AI Agenten?","faq3Answer":"Når du kører AI Agenten (enten som en berigelse eller en datakilde), kan Datablist collections håndtere behandling af op til 100.000 items (rækker). For større datasæt kan du have brug for at splitte dataene i flere collections.","faq4Question":"Hvordan adskiller AI Agenten sig fra ChatGPT/Claude/Gemini-enrichments?","faq4Answer":"Standard AI-enrichments (ChatGPT, Claude, Gemini) behandler data, der allerede er i din collection, ved hjælp af AI'ens eksisterende viden. AI Agenten kan aktivt interagere med det live web—lave Google-søgninger, browse websites og udtrække ny information baseret på din prompt.","faq5Question":"Hvor præcise er resultaterne?","faq5Answer":"Nøjagtighed afhænger i høj grad af klarheden og specificiteten i din prompt samt opgavens kompleksitet og den tilgængelige information online. Tydelige instruktioner, eksempler og regler for fejl-håndtering forbedrer resultaterne. Datablist giver ofte en confidence score for AI Agent-outputs for at hjælpe med at vurdere pålideligheden."},"aiOnColContent":{"step1Title":"**Opret en ny Collection**: Start med at oprette en ny, tom collection i Datablist, hvor dataene gemmes. Klik på '+ Create new collection' i sidepanelet.","step1ImageAlt":"Ny Collection","step2Title":"**Konfigurer kilden:**","step2Item1":"**Select Template**: Find og vælg prompten fra \"Template\"-dropdown-menuen. Prompten ovenfor bliver automatisk indlæst.","step2Item2":"**For every item in**: Vælg en collection med items. AI Agenten kører for hvert item.","step2Item3":"**Prompt**: Redigér prompten med variabler fra din collection. Brug \"/\" for at vælge en property.","step2Item4":"**Customize (Optional)**: Du kan justere AI-modellen (fx er GPT-4o mini ofte omkostningseffektiv), redigere prompten til specifikke behov eller ændre de forventede ***Outputs***.","step2ImageAlt":"Eksempel på prompt"}},"About":{"metadata":{"title":"Om os","description":"Vores mission er at hjælpe dig med at transformere din forretning til en digital virksomhed."},"jsonLd":{"description":"Vores mission er at hjælpe dig med at transformere din forretning til en digital virksomhed."},"vision":{"heading":"Skab vækst i din forretning med data","paragraph1":"Med samarbejde landsatte vi et menneske på månen, og vores forventede levealder er fordoblet siden 1900.","paragraph2":"Teknologi er en katalysator og en multiplikator for, hvad samarbejde kan opnå. Før den industrielle revolution i 1750 fordobledes den gennemsnitlige individuelle indkomst hvert 6.000. år; siden da er den blevet fordoblet hvert 50. år.","paragraph3":"I en organisation gør Teknologi mennesker i stand til at producere mere og automatiserer gentagne opgaver, så organisationens produktivitet øges.","paragraph4":"Vi mener, at denne produktivitetsgevinst er nøglen til at forbedre verdens levestandard. Prisen på varer falder, og produktivitetsgevinster lader folk bruge mere tid på aktiviteter uden for arbejdet.","paragraph5":"Når vi producerer mere med mindre arbejde, har vi mere tid til dem, vi holder af!"},"approach":{"heading":"Vores tilgang","paragraph1":"Før Datablist brugte jeg otte år som Co‑Founder og CTO i en SaaS‑virksomhed med 80% ingeniører.","paragraph2":"Vi optimerede og automatiserede vores produktudvikling. Vi byggede test- og deployment‑pipelines, så enhver kodeændring førte til en stabil ny version til vores kunder.","paragraph3":"Og alligevel var vores virksomheds drift, som hos mange virksomheder og måske også jeres, baseret på regneark. Fra onboarding af medarbejdere til mailinglister, eller til <ProspectBuildingLink>at opbygge kundeemnelister</ProspectBuildingLink>, er der ingen alternativer til brugervenlige regnearksværktøjer.","paragraph4":"Når dine interne processer ligger i regneark, er du halvvejs i din digitalisering. Men den anden halvdel af digitaliseringen er svær. At implementere automatisering med regneark eller forbinde regneark med hinanden giver flere tårer end glæde. Vi har alle haft dårlige erfaringer med flere versioner samt duplikerede eller ugyldige data.","paragraph5":"Det er derfor, vi bygger Datablist. Datablist bringer datastrukturer ind og er samtidig fleksibel, så du kan opbygge dine unikke processer.","paragraph6":"Vores mission er at hjælpe dig med at transformere din forretning til en digital virksomhed. Forestil dig et digitalt operativsystem med interne værktøjer drevet af data. Skalerbart, fleksibelt og udvideligt, så dit digitale operativsystem vokser sammen med din virksomhed."},"learnMore":{"heading":"Vores tanker"},"team":{"heading":"Team","members":{"florian":{"name":"Florian Poullin","title":"Founder","description":"Tidligere: Co‑Founder og CTO hos IZBERG‑Marketplace (opkøbt i januar 2019 af Open Group, en fransk børsnoteret virksomhed)"},"habib":{"name":"Habib Benabdeslam","title":"GTM & Growth Expert","description":"Habib kombinerer sin passion for mennesker, teknologi og konkurrence for at drive growth hos Datablist."}},"tooltips":{"followLinkedIn":"Følg {name} på LinkedIn","followTwitter":"Følg {name} på Twitter","bookCall":"Book et møde med {name}"},"altText":"{name} - Datablist"}},"Contact":{"metadata":{"title":"Kontakt ","description":"Kontakt Datablist for support, salgsforespørgsler eller for at booke en demo."},"header":{"category":"Kontakt","title":"Send os en besked","description":"Anmod om support, chat med vores team, eller få prisinformation."},"support":{"title":"Teknisk support","description":"For teknisk support kan du kontakte os via email. Del gerne skærmbilleder og så meget kontekst som muligt.","showEmailButton":"Vis support-email","generatingButton":"Genererer email-knap...","emailButton":"Klik her for at sende en email"},"sales":{"title":"Salg & Marketing","description":"For at sende en besked til vores salgsteam, udfyld venligst denne formular.","button":"Kontakt salg"},"demo":{"title":"Få en demo","description":"Lær mere om vores produkter med en skræddersyet live-demo fra vores salgsteam.","button":"Book demo-møde"},"salesPage":{"metadata":{"title":"Kontakt ","description":"Kontakt Datablist for support, salgsforespørgsler eller for at booke en demo."},"breadcrumb":{"contact":"Kontakt os","current":"Salg & Marketing"},"header":{"category":"Kontakt","title":"Kontakt vores Salg & Marketing-team","description":"Udfyld formularen nedenfor for erhvervshenvendelser."}}},"Pricing":{"metadata":{"title":"Priser","description":"Vælg den perfekte plan til dine databehov. Fleksible prisplaner for enkeltpersoner og teams."},"header":{"title":"Priser","subtitle":"Start gratis (<link>du kan starte uden at oprette en konto</link>). Opgrader for at frigøre dine datas potentiale."},"switcher":{"monthly":"Månedligt","yearly":"Årligt","discount":"-20%"},"plans":{"creditsYear":"{credits} credits pr. år.","creditsMonth":"{credits} credits pr. måned.","includedUsers":"{users} {users, plural, =1 {user} other {users}} inkluderet","extraUsersMonth":"Derefter {price}/bruger/måned","extraUsersYear":"Derefter {price}/bruger/år","free":{"name":"Gratis plan","price":"0","users":"En bruger","extraUsers":"Ingen ekstra brugere tilladt","credits":"500 credits pr. år","bulletsText":"Gratis plan inkluderer:","bullets":["Ubegrænsede samlinger","Importer op til 1 million elementer pr. samling, lagret i din browsers lager","Duplikatfinder","Adgang til gratis databerigelser","Importer CSV- og Excel-filer","Eksporter til CSV- og Excel-filer"],"restrictions":["Ingen Cloud-synkronisering","Ingen automatisering af berigelser","Ingen premium-berigelser","Ingen brugerdefineret API-berigelse","Ingen eksportintegrationer"]},"starter":{"name":"Starter","creditsExtra":"Brug top-ups for flere credits.","billedYearly":"faktureres årligt","bulletsText":"Alt i den gratis plan, og:","bullets":["Importer op til 2 millioner elementer pr. samling, lagret i din browsers lager","Synkronisér samlinger med under 100.000 elementer i skyen","Avanceret filtrering med regulære udtryk og filtergrupper.","Avancerede deduplikeringsalgoritmer og indstillinger for automatisk sammenfletning","Deduplikering på tværs af flere samlinger","Avancerede dataudtrækningsalgoritmer","Kodebibliotek til JavaScript Run","AI Agent-berigelse","Adgang til alle premium-berigelser","Prioriteret support"],"restrictions":["Ingen automatisering af berigelser","Ingen eksportintegrationer","Ingen brugerdefineret API-berigelse","Ingen adgang til REST API"]},"growth":{"name":"Growth","creditsExtra":"Brug top-ups for flere credits.","billedYearly":"faktureres årligt","mostPopular":"Mest populær","bulletsText":"Alt i Starter-planen, og:","bullets":["Automatisering af berigelser","Automatisering af datakilder","Brugerdefineret API-berigelse","Datablist REST API","Teknisk onboarding"]},"common":{"perMonth":"pr. måned","signUp":"Tilmeld dig","notIncluded":"Ikke inkluderet:"}},"faq":{"title":"Ofte stillede spørgsmål","subtitle":"Nedenfor finder du svar på de spørgsmål, vi oftest får om vores abonnementer","questions":{"canIUseFree":{"title":"Kan jeg bruge Datablist gratis?","message":"Den gratis plan er gratis for altid. Den er målrettet enkeltpersoner med lejlighedsvise behov. Vores betalte planer giver flere datahandlinger, cloud-synkronisering og teamstyring."},"whatIsCollection":{"title":"Hvad er en Datablist-samling?","message":"I Datablist struktureres dine data med samlinger, der indeholder elementer. Alle elementer i en samling deler samme datastruktur. For eksempel kan en samling være en liste over salgsleads, en mailingliste med emails eller kandidater til rekruttering. <link>Se dokumentation om samlinger</link>."},"whereIsDataStored":{"title":"Hvor er mine data gemt?","message":"Datablist bruger en lokal database fra webbrowseren til at gemme strukturerede data. En lokal database er perfekt til hurtig adgang og en reaktiv brugeroplevelse. Men de lokale data er begrænset til din browser og kan gå tabt. For betalte planer synkroniseres samlinger med op til 100.000 elementer i skyen."},"canIExport":{"title":"Kan jeg eksportere mine data gemt i Datablist?","message":"Selvfølgelig! Data er dit aktiv, og eksport er gratis og ubegrænset. Du kan eksportere data direkte fra dine samlinger i CSV- og/eller Excel-format. For samlinger, der ikke er synkroniseret i skyen, anbefaler vi, at du foretager regelmæssige eksporter for at sikkerhedskopiere dine data, hvis din browser sletter dem. Bemærk, at Excel har nogle begrænsninger på størrelsen af en celle og på antallet af rækker. En stor samling kan muligvis ikke eksporteres i Excel-format."},"whatAreCredits":{"title":"Hvad bruges credits til?","message":"For nogle berigelser (OpenAI, Google Translate, Deepl, Email Finder, osv.) bruger Datablist tredjeparts-API'er. De fleste tredjeparts-API'er er betalte tjenester. For at håndtere dette har Datablist et credit-system. Alle andre funktioner (deduplikering, redigering, filtrering osv.) er ubegrænsede. <link>Mere om Datablist Credits</link>."},"whenCreditsYearly":{"title":"Hvornår får jeg mine credits på den årlige plan?","message":"På årlige planer får du tildelt summen af månedlige credits ved abonnementstidspunktet. På Starter-planen modtager du 60.000 credits på én gang, og på Growth-planen får du 240.000 credits."},"whatIsEnrichment":{"title":"Hvad er en berigelse?","message":"<enrichmentsLink>Berigelser</enrichmentsLink> er onlineprogrammer, der udfører operationer på alle eller en del af elementerne i dine samlinger. Datablist <storeLink>Enrichments Store</storeLink> inkluderer berigelser til leadgenerering, tekstoversættelser, web scraping, ChatGPT osv."},"premiumEnrichmentsList":{"title":"Har I en liste over premium-berigelser?","message":"Vi tilføjer berigelser hver måned. For at få en opdateret liste over vores berigelser, <link>åbn Datablist</link> og klik på \"Enrich\"-knappen i samlingens header. Alle berigelser er listet der. Et \"Premium\"-label er synligt ved siden af premium-berigelser."},"canBrowserDelete":{"title":"Kan min browser slette mine lokale data?","message":"Det kan ske, hvis du rydder din browsers cache, eller når du rammer grænsen for din harddisk. Den lokale database, som Datablist bruger, slettes sammen med cookies, cachede data og alle webstedsgenererede data, når du rydder webstedsdata i din browser. For at undgå datatab skal du bruge cloud-synkronisering (tilgængelig for samlinger med under 100.000 elementer i de betalte planer). En anden måde at beskytte dine data på er periodisk at eksportere dine data til en CSV-fil."},"cloudSyncLimit":{"title":"Hvad sker der, når jeg rammer grænsen for synkronisering til skyen?","message":"Betalte planer har cloud-synkronisering for samlinger med under 100.000 elementer. For større samlinger er cloud-synkronisering endnu ikke mulig, og dataene i din samling gemmes kun i din browser."},"browserSupport":{"title":"Virker Datablist med alle webbrowsere?","message":"Datablist kræver en moderne webbrowser. Seneste versioner af Chrome, Safari, Firefox og Edge understøttes. Internet Explorer understøttes ikke. Datablist retter sig i øjeblikket mod desktop-webbrowsere. En mobil version, der er kompatibel med mobile webbrowsere, er på vores roadmap."},"freeVsPremium":{"title":"Hvad er forskellen mellem gratis og premium-berigelser?","message":"Gratis berigelser er tilgængelige for registrerede gratis brugere, mens premium-berigelser er forbeholdt kunder. Premium-berigelser er som regel afhængige af tredjeparts-tjenester og har månedlige kaldgrænser."},"hitEnrichmentLimit":{"title":"Hvad sker der, når jeg rammer grænsen for premium-berigelser?","message":"Når dine credits er opbrugt, kan du ikke køre premium-berigelser. Du kan toppe din credits-saldo op eller vente på, at dine månedlige credits bliver fornyet."},"paymentOptions":{"title":"Hvilke betalingsmuligheder har jeg?","message":"Alle månedlige betalinger sker via kreditkort eller PayPal. Datablist bruger Chargebee, Stripe eller PayPal til at behandle og opbevare kreditkortdata."},"canCancel":{"title":"Kan jeg annullere min plan når som helst?","message":"Der er ingen bindingsperiode hos Datablist. Gå blot til abonnementssektionen og klik på 'Downgrade account'."},"canUpgrade":{"title":"Kan jeg opgradere fra Starter til Growth-planen?","message":"Ja. Du kan opgradere fra Starter til Growth-planen. Når du går fra Starter til Growth, sker ændringen med det samme, og du bliver opkrævet pro rata for de dage, der er tilbage, før næste faktureringscyklus. For eksempel, hvis din faktureringsdato er den 5. i hver måned, og du opgraderer til Growth den 1., bliver du faktureret forskellen i abonnementet for de resterende 5 dage."},"canDowngrade":{"title":"Kan jeg nedgradere fra Growth til Starter-planen?","message":"Ja. Du kan nedgradere fra Growth til Starter-planen. Når du nedgraderer, træder ændringerne i kraft ved slutningen af faktureringscyklussen. For eksempel, hvis din faktureringsdato er den 5. hver måned, og du nedgraderer til Starter den 1., forbliver du på Growth indtil den 5."},"refunds":{"title":"Tilbyder I refusioner?","message":"Vi tilbyder ikke refusioner, beklager. Produktet kan testes med vores gratis version."}}},"cloudAgency":{"title":"Cloud Agency? Lad os tage en snak!","description1":"Er du et leadgenereringsbureau? Lad os sammensætte en plan, der passer til dine behov.","description2":"Vi tilbyder også Professional Services til skræddersyede integrationer eller specifikke behov.","description3":"<link>Book et møde med os.</link>","complexUseCase":{"title":"Har du et komplekst use case?","description1":"For bureaer, teknologipartnere, professional services-partnere eller alle med et komplekst behov: Venligst <contactLink>kontakt os</contactLink> eller <bookLink>book et møde med vores team</bookLink>.","description2":"Tjek også vores <helpLink>Help Center</helpLink> for at lære mere om, hvordan Datablist fungerer."}},"v4":{"hero":{"eyebrow":"Priser","title":["Enkle abonnementer. Præcise data.","Effektive AI-workflows."],"description":"Vælg et abonnement med de funktioner, du har brug for, og tilføj derefter credits, efterhånden som dit forbrug vokser.","badges":["Abonnementer til enkeltpersoner og teams","Ubegrænsede datahandlinger","Opsig når som helst"],"note":"Betalte abonnementer inkluderer credits til databerigelse. Free inkluderer 500 credits om året."},"billing":{"monthly":"Månedligt","yearly":"Årligt","save":"Spar {discount}%"},"common":{"currency":"$$","currencyCode":"USD","price":"{currency}{amount}","perMonth":"/md.","freeForever":"gratis for altid","billedYearly":"faktureres årligt","includedCredits":"Inkluderede credits","freeCredits":"500 credits / år","creditsSelector":"{amount} credits/md.","creditsComparison":"{amount} credits / md.","includedInPlan":"inkluderet i abonnementet","addOnNote":"+${price}/md. som tilvalg","choose":"Vælg {name} {reason}","featuresPrevious":"Du får alt i <muted>{name}</muted> plus:","popular":"Mest populær","breakdown":"Se detaljer","startFree":"Start gratis","startTrial":"Kom gratis i gang","limited":"Begrænset","limitedTooltip":"Tilgængelig med dine 500 gratis credits. Kørsel er langsommere på Free-abonnementet.","loading":"Indlæser priser…","creditsMonth":"{amount} credits om måneden","creditsYear":"{amount} credits om året","includedUsers":"{users, plural, =1 {1 bruger inkluderet} other {# brugere inkluderet}}","extraUsersMonth":"Derefter {price}/bruger/måned","extraUsersYear":"Derefter {price}/bruger/år","annualBilling":"{price} faktureres årligt","buyCredits":"Køb credits i Datablist"},"plans":{"free":{"name":"Free","tag":"Enkeltbrugere, der renser og udforsker data i browseren.","cta":"Kom gratis i gang","micro":"Intet betalingskort påkrævet.","choose":"hvis du kun har brug for enkel deduplikering og datarensning.","featuresHeading":"Vigtige inkluderede funktioner:","features":["<accent>5 værktøjer til datarensning og udtræk</accent>: deduplikering, søg og erstat, masseredigering","ChatGPT-/Claude-integration med din egen nøgle","AI-redigering (begrænset)","2 millioner poster / tabel, kun i browseren","Én bruger","Begrænsede berigelser","Langsom kørselshastighed","Ingen cloud-backup"]},"starter":{"name":"Starter","tag":"Enkeltpersoner, der kører workflows til scraping, berigelse og datarensning.","cta":"Kom gratis i gang","micro":"Intet betalingskort påkrævet.","choose":"hvis du vil scrape leads, researche virksomheder og berige data på én platform.","featuresHeading":"Alt i Free plus:","features":["<accent>50+ værktøjer til lead scraping og berigelse</accent>: email- og telefonnummersøgning, LinkedIn, domæner, virksomhedsdata og meget mere","<accent>20+ avancerede renseværktøjer</accent>: verificering, rensning og parsere","Sales Navigator Scraper","AI Research Agent og AI Scraping Agent","Cloud-backup af op til 100k rækker / tabel","{users, plural, =1 {1 bruger inkluderet} other {# brugere inkluderet}}","Grundlæggende support"]},"growth":{"name":"Growth","tag":"Enkeltpersoner og små teams, der automatiserer databerigelse.","cta":"Kom gratis i gang","micro":"Intet betalingskort påkrævet.","choose":"hvis du vil berige data og automatisere workflows.","featuresHeading":"Alt i Starter plus:","features":["Automatiseringer (planlagte og triggerbaserede)","REST API + Call HTTP","Integrationer (Lemlist, Pipedrive m.fl.)","{users, plural, =1 {1 bruger inkluderet} other {# brugere inkluderet}}","Prioriteret support"]},"scale":{"name":"Scale","tag":"Teams i vækst og bureauer, der driver GTM-systemer i stor skala","cta":"Kom gratis i gang","micro":"Intet betalingskort påkrævet.","choose":"hvis du administrerer store databaser, vil bruge dine egne AI-nøgler og beholde dine ubrugte credits.","featuresHeading":"Alt i Growth plus:","features":["Overførsel af ubrugte credits","Egen nøgle til AI Agent","Cloud-backup af op til 200k rækker / tabel","Dedikeret success manager","Prioriteret support + onboarding"]}},"enterprise":{"title":"Enterprise","description":"Tilpassede creditmængder, sikkerhedsgennemgang, fakturering, en dedikeret success manager og skræddersyet onboarding. Til bureauer og større teams med specifikke behov.","cta":"Kontakt salg"},"comparison":{"title":"Sammenlign alle funktioner","description":"Alle abonnementer side om side. Klik på en sektionsoverskrift for at folde den sammen.","groups":[{"title":"Abonnement","rows":[{"label":"Gratis credits inkluderet"},{"label":"Teammedlemmer","values":["1","Ubegrænset ∞","Ubegrænset ∞","Ubegrænset ∞"]},{"label":"Prioriteret support"},{"label":"Onboarding"},{"label":"Overførsel af ubrugte credits"},{"label":"Dedikeret success manager"}]},{"title":"Værktøjer til leadgenerering","rows":[{"label":"Waterfall Email Finder","description":"Find verificerede B2B-emails ud fra et navn og en virksomhed eller en LinkedIn-URL. Kombinerer 20+ udbydere til 25 credits pr. email, og du betaler kun for fundne emails."},{"label":"Waterfall Phone Finder","description":"Find mobilnumre ud fra URL'en til en LinkedIn-profil. Betal kun, når der findes et nummer."},{"label":"LinkedIn Profile Scraper","description":"Hent op til 40 datapunkter (rolle, virksomhed, erfaring og uddannelse) fra enhver profil-URL på LinkedIn eller Sales Navigator uden at udsætte din konto for risiko."},{"label":"Virksomhedsberigelse","description":"Berig en virksomhed ud fra dens domæne eller LinkedIn-side: branche, størrelse, placering, stiftelsesår og mere – op til 9 datapunkter."},{"label":"Company Domain Finder","description":"Find website og domæne ud fra et virksomhedsnavn med en vurdering af sikkerheden."},{"label":"Jobopslagsscraping","description":"Scrape jobopslag fra 19+ jobportaler, herunder LinkedIn, Indeed og Glassdoor. Kan filtreres efter titel, placering, virksomhed og mere"},{"label":"Sales Nav Scraper (din konto)","description":"Scrape leads eller virksomheder fra en søgning på LinkedIn eller Sales Navigator med din egen LinkedIn-konto. 10 credits pr. lead."},{"label":"Sales Nav Scraper (uden konto)","description":"Scrape leads eller virksomheder fra en Sales Navigator-søgning uden at tilknytte din egen konto. 20 credits pr. lead."}]},{"title":"AI og automatisering","rows":[{"label":"ChatGPT-/Claude-integration (din nøgle)","description":"Kør et hvilket som helst LLM-prompt på tværs af dine rækker med din egen API-nøgle. Der bruges ingen Datablist-credits."},{"label":"AI Research Agent","description":"Giv agenten en valgfri opgave eller et spørgsmål, så søger den på Google og besøger websites for at løse opgaven."},{"label":"Automatisering","description":"Kør automatisk berigelser og importer efter en tidsplan eller trigger."},{"label":"REST API + Call HTTP","description":"Læs og skriv dine data via kode, og kald et hvilket som helst eksternt endpoint fra et workflow."},{"label":"Integrationer (Lemlist, Pipedrive m.fl.)","description":"Send leads direkte til tredjepartssystemer."},{"label":"Egen nøgle til AI Agent","description":"Brug din egen API-nøgle til modellen med AI Agent for at reducere omkostningerne."}]},{"title":"Regnearksfunktioner","rows":[{"label":"Lagring","values":["Kun browser","Cloud-synkronisering","Cloud-synkronisering","Cloud-synkronisering"]},{"label":"Antal tabeller","values":["∞","∞","∞","∞"]},{"label":"Importgrænse / tabel","values":["2 millioner poster","2 millioner poster","2 millioner poster","2 millioner poster"]},{"label":"Synkroniserede rækker / tabel","values":["-","100k","100k","200k (snart)"]},{"label":"Versionshistorik (snart)","values":["Ingen","7 dage","14 dage","30 dage"]},{"label":"AI-redigering","values":["3 gratis redigeringer","Ubegrænset","Ubegrænset","Ubegrænset"]}]},{"title":"Funktioner til datarensning","rows":[{"label":"Deduplikering af én fil","description":"Find, flet eller fjern dubletter i en samling med konfigurerbare matchregler."},{"label":"Søg og erstat","description":"Søg efter og erstat værdier i en egenskab eller hele samlingen."},{"label":"Masseredigering","description":"Rediger mange elementer på én gang: angiv eller erstat værdier samlet."},{"label":"Udtræk data fra tekst","description":"Udtræk emails, URL'er og telefonnumre fra ethvert tekstfelt."},{"label":"Emailvalidering","description":"Kontrollér øjeblikkeligt emailens syntaks, domæne og MX-poster. Et gratis tjek med det samme."},{"label":"Papirkurv og datagendannelse","description":"Gendan elementer, der ved en fejl er blevet slettet, fra papirkurven."},{"label":"Deduplikering af flere filer","description":"Fjern dubletter på tværs af flere samlinger eller importer på én gang."},{"label":"Emailverificering","description":"Kontrollér fuld leveringsevne (syntaks, domæne, postkasse og catch-all) på tværs af flere udbydere."},{"label":"Rensning af virksomhedsnavne","description":"Standardiser virksomhedsnavne: fjern LLC og Inc, og ret brugen af store og små bogstaver."},{"label":"Rensning af telefonnumre","description":"Standardiser telefonnummerformater, og tilføj manglende landekoder."},{"label":"Navneparser","description":"Opdel et fuldt navn i for- og efternavn, og registrer køn og titel."},{"label":"Registrer sprog","description":"Identificer sproget i en tekst med en sikkerhedsscore."}]}]},"credits":{"title":"Sådan fungerer credits","description":"Det er altid gratis at køre workflows, rense data, udtrække tekst og bruge dine egne API-nøgler – på alle abonnementer. Credits bruges til berigelser, der henter oplysninger fra betalte datakilder, såsom email finders, telefonnummersøgning og LinkedIn-scraping. Free inkluderer 500 credits om året. Betalte abonnementer inkluderer credits for din faktureringsperiode, og du kan til enhver tid købe flere.","cards":[{"title":"Gratis med alle abonnementer","description":"Free inkluderer 500 credits om året. Antallet af credits på betalte abonnementer afhænger af din faktureringsperiode. Du bruger kun credits på berigelser, der henter oplysninger fra betalte datakilder."},{"title":"Tilbagevendende creditpakker","description":"Har du brug for flere hver måned? Tilføj en tilbagevendende pakke for at få den bedste pris pr. credit. Jo større pakken er, desto lavere er prisen pr. credit."},{"title":"Engangs-top-ups","description":"Ved lejlighedsvise spidsbelastninger kan du købe en engangs-top-up. Top-ups udløber aldrig, og du beholder dem, selvom du opsiger abonnementet."}],"note":"Rensning, deduplikering og alle værktøjer, du kører med din egen API-nøgle, bruger aldrig credits.","costsTitle":"Det får du for dine credits","costsDescription":"Et udvalg af de mest populære creditbaserede værktøjer og deres pris.","costs":[{"name":"Company Domain Finder","description":"<accent>1 credit</accent> pr. opslag • Hurtig masseidentifikation af domæner ud fra virksomhedsnavne"},{"name":"AI Research Agent","description":"<accent>Forbrugsbaseret</accent> • Gratis og ubegrænset, når du bruger din egen API-nøgle"},{"name":"Sales Navigator Scraper","description":"<accent>10–20 credits</accent> pr. eksporteret lead • Verificeret email- og virksomhedsindsigt"},{"name":"Waterfall Email Finder","description":"<accent>25 credits</accent> pr. fundet email • Garanti for kun at betale ved resultat (0 credits, hvis intet findes)"},{"name":"LinkedIn Profile Scraper","description":"<accent>25 credits</accent> pr. profil • Scraper erfaring, jobhistorik og kontaktdata"},{"name":"Jobopslagsscraping","description":"<accent>10 credits</accent> pr. opslag • Udtrækker jobtitel, virksomhed, løn og placering"}]},"topup":{"title":"Vælg størrelsen på en engangs-top-up","description":"Kun faste pakker – ingen tilpassede mængder – så prisen er altid præcis som vist.","question":"Hvor mange credits har du brug for?","credits":"credits","summary":"Oversigt","oneTime":"engangsbeløb","rate":"{rate} / 1.000 credits","delivered":"{label} ({amount})","offRate":"{discount}% rabat på grundprisen","baseRate":"Grundpris ({rate} / 1k)","labels":["Leverede credits","Anvendt niveau","Udløber","Faktureres i"],"never":"Aldrig","cta":"Køb nu →","tiles":[{"title":"Betal efter forbrug","description":"Kræver et betalt abonnement. Køb kun credits, når du har brug for dem."},{"title":"Lægges oven i abonnementet","description":"Føjes til den månedlige mængde i dit abonnement."},{"title":"Øjeblikkelig levering","description":"Dine credits indsættes, så snart betalingen er bekræftet."}],"tierLabels":["20k","40k","60k","80k","100k","120k","140k","200k","300k","500k","750k","1M","1.25M","1.5M"]},"faq":{"title":"Ofte stillede spørgsmål","items":[{"question":"Hvad er credits, og hvad bruger dem?","answer":"Credits er Datablists interne valuta. Berigelser, der kalder en betalt datakilde (email- og telefonnummersøgning, scrapers, LinkedIn, virksomhedsdata og oversættelser), bruger credits. Rensning, deduplikering og værktøjer med din egen API-nøgle gør ikke."},{"question":"Udløber mine credits, eller overføres de?","answer":"Credits fra dit abonnement fornyes ved hver faktureringsperiode og overføres ikke. Credits fra top-ups udløber aldrig."},{"question":"Hvad er forskellen på et tilbagevendende tilvalg og en engangs-top-up?","answer":"Et tilbagevendende tilvalg fylder dine credits op hver måned til en bedre pris pr. credit og er bedst til et stabilt forbrug. En engangs-top-up er et enkelt køb til lejlighedsvise spidsbelastninger, og den udløber aldrig."},{"question":"Kan jeg bruge mine egne API-nøgler?","answer":"Ja. LLM-værktøjer (ChatGPT, Claude, Gemini m.fl.) kører gratis med din egen nøgle på alle abonnementer. Apollo, PeopleDataLabs, Moz og Bing kører med din nøgle fra Starter og opefter."},{"question":"Tager I betaling for datahandlinger?","answer":"Nej. Datahandlinger såsom deduplikering og rensning er gratis. Du betaler datacredits for berigelser uden en separat handlingscredit oveni."},{"question":"Hvilke berigelser koster kun credits, når de finder et resultat?","answer":"De fleste finders (email, telefon og personlig email) koster kun ved et resultat, så du betaler aldrig, hvis intet findes. Enkelte berigelser koster pr. forsøg. Se den fulde oversigt i hjælpecentret."},{"question":"Hvordan får jeg de 500 gratis credits?","answer":"Opret en Datablist-konto med en virksomheds-emailadresse for at modtage 500 gratis credits."}]},"accessibility":{"included":"Inkluderet","notIncluded":"Ikke inkluderet"}}},"Logos":{"SUBTITLE":"Du er i godt selskab"},"LocaleSwitcher":{"label":"Skift sprog"},"ThemeSwitcher":{"LABEL":"Tema","LIGHT":"Lys","DARK":"Mørk","AUTO":"Automatisk"},"TalkToUs":{"TITLE":"Hvad ville du gøre, hvis vi gav dig 3-5 ekstra timer om ugen?","SUBTITLE":"Prøv Datablist og se, hvor nemt det er at automatisere workflows. 18.000+ brugere oplever det allerede!","CTA":"Tal med os","START_FOR_FREE":"Kom i gang 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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