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credit，而不是 2.5 credits。因此，调整这两项设置的成本很低。"},{"question":"“仅处理 Google 缓存结果”有什么用途？","answer":"它会将运行范围限制为您已经付费获取的 Google 结果，并完全跳过数据集结果。您可以用它在不同设置下重新评估之前的运行结果，而无需为新的实时搜索付费。"},{"question":"“目标国家/地区”接受哪些格式？","answer":"支持 ISO 3166 Alpha-2 代码（例如 FR）、Alpha-3 代码（例如 USA），或完整英文名称（例如 Portugal）。如果某行的国家/地区缺失或无效，Datablist 将使用全局目标国家/地区设置。"},{"question":"如何仅重新运行失败的行？","answer":"按状态筛选视图；对于较弱的匹配，也可以按域名置信度筛选，然后选择“对视图中的所有项目运行”。系统只会处理筛选后视图中的行，因此您无需再次为已经解析的行付费。"},{"question":"什么时候应该改用 AI Agent？","answer":"当名称含义不明确，而您拥有查询工具无法使用的背景信息时。数据集和 Google 都仅基于名称进行查找；AI Agent 则可以同时接收城市、行业或公司描述等信息，研究相关公司，并返回域名、置信度评分和解释。建议仅将其用于其他方法未能处理的剩余数据，因为它按使用量计费，且每行成本更高。"}]}},"corner":{"title":"免费试用","body":"批量将公司名称转换为经过验证的域名。已有 38,000+ 用户使用 Datablist。","label":"免费试用","close":"关闭 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. 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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. 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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. 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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. 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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. 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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. 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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. 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. 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. 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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":"Apollo's API access depends on your Apollo plan. Check your Apollo API limits before running a large file. A Datablist plan is needed to run this enrichment in the app, and any paid plan works."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and the roles you want, and get people back.","steps":[{"label":"Step 1","title":"Import your company domains","body":"Upload a CSV or Excel file with one company domain per row. Domains are more precise than company names. Add the company name too as a fallback for companies with several domains."},{"label":"Step 2","title":"Define the people you want","body":"Paste your Apollo API key, then add job titles, a seniority level, or both. Add fallback title lists for when the first list finds nobody, and choose up to 3 people per company."},{"label":"Step 3","title":"Run it and review the status","body":"Datablist searches each company and writes the profiles into numbered columns, plus a Total Query Results count for every row. Filter no-result rows to adjust your titles and rerun them. Keep the status column so you can see which rows failed."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. 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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 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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"},"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. 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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. 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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 Mistral'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. 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Free in Datablist with your own Perplexity API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Perplexity AI","description":"Write one prompt and run Perplexity AI on every row of your CSV or Excel file. Free in Datablist with your own Perplexity API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","Answers From Live Web Data","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Perplexity 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 Perplexity 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 Perplexity for each row","Live Web Answers: Answers can draw on Perplexity's web search","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 Perplexity: Usage is charged to your own Perplexity 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 Perplexity AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Check on the web whether companies are SaaS","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":"Search the web and classify this company as SaaS or Not SaaS. Return only SaaS or Not SaaS:","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 Perplexity 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."],["Perplexity usage","Perplexity bills your own account for API usage with prepaid credits. Different models use different amounts of credits per request."],["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":"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. 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. 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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. 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On a typical task at default settings that works out to somewhere between 3 and 25 credits per row, and credits are spent even on rows where it finds nothing. Max iterations limits research depth: raising it lets the agent dig deeper and raises the top of the estimated range with it. It is not a fixed credit cap. Treat the number as sizing guidance, not a quote. The range models the default model and one rendered scrape per row when Render HTML is enabled; more page visits or a different model can change the cost. Run a hundred rows first and read your real per-row cost off that. Plan credits renew monthly and reset if unused. 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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. 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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. 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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. 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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. 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leads，或两个拥有相同条形码的商品。","DEDUPLICATION_DEF_DESC_3":"重复项会降低数据质量与效率。解决方式有两种：直接删除，或将相似条目合并为一个主记录。","DEDUPLICATION_DEF_DESC_4":"删除重复项很简单：去重算法找到重复条目后保留一条其余删除。合并重复项则需要分析重复记录并将其合并为一个主记录。","DUPLICATES_MODE_TITLE":"支持单个或多个数据集合的全量或部分字段分析","DUPLICATES_MODE_DESC_1":"Datablist 重复项查找器可进行全字段比较，或仅基于选定属性比对。","DUPLICATES_MODE_DESC_2":"使用选定属性模式，可基于 email 地址查找重复联系人，或用公司网站 URL 在公司列表中检测重复。","DUPLICATES_MODE_DESC_3":"Datablist 重复项查找器支持单个或多个列表。在多列表场景下，去重算法通过字段映射跨数据集比较记录。","MERGE_TITLE":"删除或整合重复项","DUPLICATES_PREVIEW_TITLE":"重复项预览","DUPLICATES_PREVIEW_DESC_1":"Datablist 会列出发现的重复项，便于你决定要执行的操作。","DUPLICATES_PREVIEW_DESC_2":"在详情抽屉中打开重复项进行编辑并合并信息，或直接删除重复项。","DUPLICATES_AUTO_MERGING_TITLE":"自动合并无冲突的重复项","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist 会自动找出可在不丢失信息的情况下合并的重复值。","DUPLICATES_AUTO_MERGING_BULLET_1":"当所有重复项的属性值完全一致时，仅保留一条，其余删除。","DUPLICATES_AUTO_MERGING_BULLET_2":"若重复项信息互补，将信息最完整的项设为主记录，并用其他记录填充其属性值，随后删除除主记录外的所有记录。","DUPLICATES_AUTO_MERGING_BULLET_3":"如存在属性值冲突，则跳过，等待人工合并。","MERGING_ASSISTANT_TITLE":"或使用合并助手手动处理冲突值","MERGING_ASSISTANT_DESC_1":"当无法自动合并时，使用 Datablist 合并助手选择保留的值，完成记录整合。","MERGING_ASSISTANT_DESC_2":"系统会选择信息最完整的记录作为主记录，并从次级记录中接收补充值。","DUPLICATES_DEDUPE_TITLE":"易用的 DeDupe 去重工具","DUPLICATES_DEDUPE_DESC_0":"市面上的去重工具多面向技术人员，配置繁琐、上手困难。","DUPLICATES_DEDUPE_DESC_1":"使用 Datablist，数据处理变得简单！数据去重终于人人可用。","DUPLICATES_DEDUPE_DESC_2":"直接在浏览器中对数十万条记录进行去重。","DUPLICATES_AUTO_MERGE_TITLE":"导入过程中自动合并","DUPLICATES_AUTO_MERGE_DESC_1":"除了使用重复项查找器外，你还可以在集合属性上设置“唯一值”规则。","DUPLICATES_AUTO_MERGE_DESC_2":"在数据导入时，如导入项已存在于集合或同一文件的其他位置，将按合并模式进行合并或删除。","DATA_DEDUP_WHEN_TITLE":"什么时候需要数据去重？","DATA_DEDUP_WHEN_MAIL_TITLE":"邮件列表去重","DATA_DEDUP_WHEN_MAIL_DESC_1":"随着时间推移，多个来源会汇入你的邮件列表：如网络研讨会参与者、购买用户、免费版用户等，同一个 email 可能在列表中出现多次。","DATA_DEDUP_WHEN_MAIL_DESC_2":"重复的 email 会给营销活动带来额外成本、类似 spam 的体验，并可能让已退订的用户仍然收到邮件，从而引发不满。","DATA_DEDUP_WHEN_MAIL_LINK":"如何清理邮件列表","DATA_DEDUP_WHEN_EXCEL_TITLE":"Microsoft Excel 去重","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets、Microsoft Excel 等表格工具提供基础去重能力，如高亮或删除某列的重复值。借助 Datablist 的自动合并与合并助手，可轻松处理复杂的重复记录。","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist 可直接打开 CSV 和 Excel 文件。","DATA_DEDUP_WHEN_EXCEL_LINK":"如何对 Excel 文件去重","DATA_DEDUP_WHEN_LEAD_TITLE":"Leads 与潜在客户去重工具","DATA_DEDUP_WHEN_LEAD_DESC_1":"在 B2B 营销中，潜在客户库的质量直接影响活动效果。充斥<doc>duplicate leads</doc>（重复线索）的脏数据会增加存储成本、削弱线索跟踪效率，并让销售团队倍感挫败。","DATA_DEDUP_WHEN_LEAD_DESC_2":"使用 Datablist 管理你的<doc>lead generation</doc>流程；或将 CRM 数据、lead 列表导入 Datablist 进行清理。","DATA_DEDUP_WHEN_LEAD_LINK":"如何对 lead 列表去重","DATA_DEDUP_WHEN_CSV_TITLE":"CSV 文件去重","DATA_DEDUP_WHEN_CSV_DESC_1":"清洗 CSV 数据往往耗时。数据工程师通常使用 Python 等编程语言来解析并清洗 CSV。Datablist 为非技术用户提供 No-Code 工具，直接处理<a1>CSV 文件</a1>的数据清洗流程。<a2>打开数十万行的 CSV</a2>并快速完成去重。","DATA_DEDUP_WHEN_CSV_LINK":"如何对 CSV 文件去重","SEE_ALSO_CSV_EDITOR":"CSV 编辑器","SEE_ALSO_GUIDE_EXCEL":"指南：在 Excel 中合并重复行且不丢失数据","SEE_ALSO_GUIDE":"指南：移除 CSV 重复项","SEE_ALSO_GUIDE_LARGE_CSV":"指南：在线编辑超大 CSV 文件","SEE_ALSO_COMBINE":"合并 CSV 文件","LEAD_LIST_BUILDING":"构建、清理并丰富你的 lead 列表","FIND_DUPLICATE_ONLINE_TITLE":"在线查找并移除重复项","FIND_DUPLICATE_ONLINE_DESC_1":"即时检测、合并并消除数据中的重复项。基于友好的 Web 界面，可在任意设备无障碍访问，无需复杂安装。","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist 使用先进算法快速识别重复项，为你节省时间并避免错误。告别人工查找，拥抱更顺畅的 workflow。","FUZZY_MATCHING_TITLE":"基于模糊匹配的去重","FUZZY_MATCHING_ONLINE_DESC_1":"模糊去重算法通过计算记录间的距离来判断相似度。你可以设置阈值来定义何时视为相似。与精确匹配不同，<0>fuzzy matching</0> 能智能识别变体，容忍拼写错误、缩写及细微差异。","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist 实现了<0>Levenshtein</0>与<1>Jaro-Winkler</1>距离算法。","CONSOLIDATE_DUPES_TITLE":"整合重复项，仅保留一条主记录","CONSOLIDATE_DUPES_DESC_1":"当简单合并不够用时，试试高级功能：通过合并（combine）或丢弃（drop）重复值来整合重复记录。","CONSOLIDATE_DUPES_DESC_2":"Datablist 会列出冲突字段，并让你选择处理方式。使用Combine values进行数据拼接，使用Drop values仅保留主记录的值。","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"使用 Datablist 的 AI Agent 进行 web scraping，自动化 Google 搜索，并用简单的 prompt 提取结构化数据。无需编码。","FAQ_Q1":"重复项查找器是否免费？","FAQ_A1":"是的，你可以免费在线查找并合并重复项。精确匹配与智能匹配等基础功能无需账号即可使用。若需模糊匹配或 phonetic（音近）匹配等高级算法，则需要付费方案。","FAQ_Q2":"这与 Excel 的“删除重复项”功能有何不同？","FAQ_A2":"Excel 会永久删除重复行，可能导致丢失其中的有价值数据。Datablist 通过合并记录，将所有重复项的互补信息智能整合为一条完整的主记录，你不会丢失任何数据。","FAQ_Q3":"我最多可以对多大的列表进行去重？","FAQ_A3":"Datablist 针对大文件而构建。免费版可处理最多 100 万行，付费版最高 150 万行，远超传统表格工具的限制。","FAQ_Q4":"能否识别包含拼写错误或细微差异的重复项？","FAQ_A4":"当然可以。我们的工具采用先进的模糊匹配算法（如 Levenshtein 与 Jaro-Winkler 距离），即使存在拼写错误或轻微格式差异，也能识别相似记录。","FAQ_Q5":"对于包含多个值的字段（如同一单元格内有两个 email），如何处理？","FAQ_A5":"我们已考虑到这种情况。你可以启用“Multiple Value Matching（多值匹配）”，将单元格内以分号分隔的每个值视作独立条目进行比对；只要其中一个值重复，即视为匹配。","FAQ_Q6":"我可以跨多个 CSV 或 Excel 文件查找重复项吗？","FAQ_A6":"可以。你可以将多个文件导入 Datablist，并在所有文件上运行重复项查找器。即使列或结构不同，也能基于公共标识符进行匹配。","FAQ_Q7":"使用它需要会写代码吗？","FAQ_A7":"完全不需要。Datablist 是彻底的 No-Code 方案。重复项查找器会通过友好的界面引导你按步骤选择列和匹配规则。","FAQ_Q8":"AI 如何帮助合并重复项？","FAQ_A8":"我们的 AI 编辑功能提供极高的灵活性。你可以用自然英语撰写指令，而不是受限于固定的合并规则。例如：让它汇总重复条目的销售额，或依据最新日期选择主记录。复杂逻辑，用一个简单的请求（prompt）就能完成。","FAQ_Q9":"合并重复项后，我的数据会如何处理？","FAQ_A9":"Datablist 会将数据整合为单一主记录：自动从其他重复项补全缺失信息；对于冲突数据，你可以选择拼接不同行的文本，或指定保留哪一个值。冗余记录随后会被删除。","FAQ_Q10":"可用的匹配算法有哪些？","FAQ_A10":"我们提供多种算法以满足不同需求：Exact（精确匹配）用于完全一致；Smart（智能匹配）可处理词序、URL 协议等变体；Phonetic（音近匹配）用于读音相近的姓名；Fuzzy Matching（模糊匹配）可处理拼写错误与笔误。","FAQ_Q11":"我能在合并前导出重复分组列表进行审阅吗？","FAQ_A11":"可以。Datablist 识别出所有重复分组后，你可以在修改前将其导出为 CSV 或 Excel 文件。导出文件会将重复项按组连续排列，方便在外部审阅或使用其他工具处理。","FAQ_Q12":"在 Datablist 中合并重复项后，如何更新我的 CRM？","FAQ_A12":"合并完成后，Datablist 会提供可下载的“变更清单”。该文件相当于日志，详细记录整个流程中被更新或删除的每一条记录。你可以据此在外部系统（如 CRM）中轻松复现这些变更，确保数据保持同步。"},"CSVEditor":{"PAGE_TITLE":"免费在线 CSV 编辑器与查看器","PAGE_DESC":"现代化的 CSV 在线编辑器，帮助您在线管理 CSV 文件。直接在浏览器中打开、编辑您的数据","HEADER_TITLE":"在线 CSV 编辑器与查看器","HEADER_DESC_1":"在线探索并编辑您的 Leads（潜在客户）、客户或产品的 CSV 文件。","NO_SIGNUP":"无需注册","ONLINE_100":"100% 在线","NO_CODE_CONFIG":"无代码配置","CSV_DEF_TITLE":"什么是 CSV 文件？","CSV_DEF_DESC_1":"CSV 是“Comma Separated Value(s)”的缩写，是一种使用文本文件存储结构化数据的格式。在 CSV 文件中，每一行是一个数据记录，每条记录由逗号分隔的字段组成（有时也使用分号 ';' 或制表符）。","CSV_DEF_DESC_2":"CSV 文件是在应用之间传输数据的常见方式。由于它基于文本文件，CSV 格式是导出数据库或电子表格数据的简便方法。","EDIT_TITLE":"在线打开 CSV 文件","EDIT_DESC_1":"直接在您的网页浏览器中上传 CSV 文件。Datablist CSV 编辑器会自动检测 CSV 列分隔符。","EDIT_DESC_2":"选择要导入的 CSV 列并定义数据类型：Text（文本）、LongText（长文本）、Date（日期）、Number（数字）、Email 地址等。","EDIT_DESC_3":"导入后，使用 Datablist 按任意属性排序，并用全文搜索筛选您的数据。","DATA_MANIP_TITLE":"清洗并整合您的 CSV 文件","DATA_MANIP_DESC":"别再用 Excel 或 Google Sheets 处理数据了 😱！","WHY_USE_CSV_TITLE":"为什么选择 Datablist 的 CSV 编辑器？","WHY_USE_CSV_BLOC_TITLE_1":"清洗您的邮件列表","WHY_USE_CSV_BLOC_DESC_1":"Email 列表是触达用户群体的理想方式。但随着时间推移，列表会变得混乱。使用 Datablist 提升送达率、节省成本，轻松去重并移除无效的 Email 地址。","WHY_USE_CSV_BLOC_TITLE_2":"管理您的产品目录","WHY_USE_CSV_BLOC_DESC_2":"几乎所有电商工具都支持用 CSV 导入/导出产品目录。无论是在发送到 Google Shopping 前清洗产品目录，还是把多个店铺的数据整合为一个集合，Datablist 都为清单（listing）管理量身打造。","WHY_USE_CSV_BLOC_TITLE_3":"丰富您的 Leads（潜在客户）数据","WHY_USE_CSV_BLOC_DESC_3":"有一份意向客户列表，想补充 Email、职务头衔、LinkedIn 资料等信息？CRM 工具在 Leads 表现出兴趣后进行跟踪与丰富很出色；但在大规模构建意向名单、进行 lead scoring（线索评分）方面往往受限。Datablist 是管理与跟踪意向名单的理想工具。","WHY_USE_CSV_BLOC_TITLE_4":"跟踪您的 SEO 关键词","WHY_USE_CSV_BLOC_DESC_4":"在制定 SEO 策略？使用 Datablist 保存 SEO 关键词、列出竞争对手、分析月度搜索量与关键词难度。记录博客选题，并跟踪竞品博客文章。","CSV_CLEANER_TITLE":"CSV 清洗工具","CSV_CLEANER_DESCRIPTION":"CSV 文件容易出现错误、不一致和格式问题，导致难以处理和分析。CSV 清洗指的是检测并纠正这些问题，确保数据准确、一致且格式规范。","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSV 去重","CSV_CLEANER_TITLE_BLOC_DESC_1":"数据去重是 CSV 清洗的重要环节。借助 Datablist Duplicates Finder，您可以基于所有可用列进行比较，或选择特定列进行比对。凭借其先进算法，该工具可在数秒内快速扫描大型数据集并识别重复项。除了识别 CSV 文件中的重复记录，Datablist Duplicate Finder 还提供强大的合并功能，可将重复记录整合为单一且准确的记录。","CSV_CLEANER_TITLE_BLOC_TITLE_3":"转换数据类型","CSV_CLEANER_TITLE_BLOC_DESC_3":"转换数据类型是 CSV 清洗的常见任务。通过将数值转换为标准化格式，确保数据准确与一致。您可以将 CSV 中的值转换为特定数据类型，如 DateTime（日期时间）、Numbers（数字）或 Boolean（布尔）。数据类型转换有助于筛选 CSV，并把字符串数据转换为可导入其他工具的标准化格式。","CSV_CLEANER_TITLE_BLOC_TITLE_6":"清理 HTML 标签并移除符号","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablist 内置清洗工具，可将带有标签的 HTML 代码转换为纯文本。其他清洗工具还包括移除文本中的表情与符号、去除多余空格。借助这些清洗工具，您可以提升数据的可读性与可用性；通过移除噪音和无关符号，让数据更清晰、更简洁。","CSV_CLEANER_TITLE_BLOC_TITLE_7":"查找与替换","CSV_CLEANER_TITLE_BLOC_DESC_7":"“查找与替换”工具非常适合数据清洗任务。搜索特定值或模式，并将其替换为正确或期望的值，从而修正拼写错误、格式不一致或其他录入错误。用于数据标准化时，您可以查找某个值的不同变体或格式，并统一替换为标准格式。","CSV_MANIPULATION_TITLE":"强大的 CSV 处理工具","CSV_MANIPULATION_BLOC_TITLE_1":"Bulk Edit（批量编辑）","CSV_MANIPULATION_BLOC_DESC_1":"Datablist Bulk Edit 简化了 CSV 清洗流程。一次性对多个项目进行修改：可应用于整个集合（collection）、已筛选项或选中项的批量编辑。它是管理和更新大型数据集的高效工具。借助 Datablist Bulk Edit，您可以标准化数据，对所有相关记录应用一致的格式和取值。","CSV_MANIPULATION_BLOC_TITLE_2":"用 JavaScript 编写数据处理脚本","CSV_MANIPULATION_BLOC_DESC_2":"JavaScript 是可在 Datablist 中直接使用的强大语言，适用于清洗您的数据。相比电子表格中的公式往往复杂且缓慢，JavaScript 具有高度灵活性，可编写自定义脚本来执行广泛的清洗任务：从简单的格式化与数据类型转换，到更复杂的数据转换与分析。","CSV_MANIPULATION_BLOC_TITLE_3":"拆分与合并 CSV 列","CSV_MANIPULATION_BLOC_DESC_3":"拆分与合并 CSV 列是实用的 CSV 清洗技巧，可帮助您以更有意义的方式重构和组织数据。例如，若某一列包含由分隔符（如逗号或分号）分隔的多个值，您可以按该分隔符将其拆分为多列。","CSV_MANIPULATION_TITLE_4":"从多个 CSV 文件对齐并整合您的数据","CSV_MANIPULATION_DESC_4":"使用 Datablist，数据对齐（reconciliation）变得轻松。将多种数据源导入到多个集合中，然后选择列表之间的公共标识符将其连接起来。Datablist 提供 'FULL OUTER JOIN' 和 'LEFT OUTER JOIN' 选项。您可以配置冲突数据的合并策略，选择跳过或合并导入的数据。","CSV_ONLINE_EDITOR":"在线且强大的 CSV 编辑器","CSV_ONLINE_EDITOR_DESC_1":"其他在线 CSV 编辑器通常只能简单打开和查看 CSV 文件，而且往往充斥广告。Datablist 作为在线 CSV 编辑器，无需在电脑上安装应用，即可提供强大的功能来打开大型 CSV 文件。它充分利用浏览器能力来存储与处理数据。","CSV_ONLINE_EDITOR_DESC_2":"您可以从零创建新的 CSV 文件、解析外部 CSV 文件，或直接打开 Excel 文件。打开后，使用内置筛选与排序工具探索数据，或清洗并编辑您的 CSV 数据。所有数据处理都可在浏览器内通过易用的界面完成。","CROSS_OS_TITLE":"适用于 Windows、Mac OS 和 Linux 的 CSV 编辑器","CROSS_OS_DESC_1":"Datablist CSV 编辑器兼容所有平台与操作系统。在 Microsoft Windows、Mac OS 和 Linux 上在线打开您的 CSV 文件。","CROSS_OS_DESC_2":"借助现代 Web 浏览器技术，我们的应用打破平台壁垒。您的数据会加载到在浏览器中运行的本地数据库中。通过云同步，Datablist 让您的数据在云端以及团队成员之间保持同步。","PARSE_ONLINE_TITLE":"在线解析与修改 CSV 文件","PARSE_ONLINE_DESC_1":"使用我们直观的应用，以闪电般的速度在线解析与修改 CSV 文件。通过友好的 Web 界面，无缝解析、提取并组织来自 CSV（及 Excel）文件的数据。","PARSE_ONLINE_DESC_2":"告别复杂安装与兼容性问题。只要设备能联网，Datablist 就能让您无障碍解析 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column。这使得该工具也适用于更高级的搜索场景，例如“compare CSV by key column”或“compare CSV files by multiple columns”。"]},{"TITLE":"比较设置：忽略空白、大小写和类 null 值","PARAGRAPHS":["真实导出文件的差异往往只是格式不同。一个文件可能包含多余空格、大写文本，或像 `null`、`N/A`、空字符串这样的占位值。比较设置允许你在计算 diff 之前忽略空白差异、忽略大小写，并将空值与类 null 值视为相等。","当用户需要更高级的 CSV 对比工具，而不是一个简单粗糙的文本 diff 时，这些选项就非常重要。它们可以减少噪音，让预览更聚焦于真实的数据变化。"]},{"TITLE":"输出格式：summary CSV、仅变更行 CSV 或完整 diff CSV","PARAGRAPHS":["有些 workflow 只需要一个紧凑的 summary，包含行状态和 key。另一些则只需要变更行 CSV，或需要一个完整 diff CSV，将原始值和更新后的值并排展示。输出设置允许你选择所需格式、指定分隔符，并决定导出文件中是否保留未变更的行。","这使该工具比许多免费的在线 CSV diff 工具更灵活，因为导出的结果可以针对审计、业务复盘、对账 workflow 或后续表格处理进行定制。"]},{"TITLE":"在线比较大型 CSV 文件","PARAGRAPHS":["该工具专为在线比较大型 CSV 文件而设计，不会试图在浏览器中渲染每一行。它会计算完整的汇总统计，将预览限制在可管理的样本范围内，同时仍允许你在之后下载完整的 diff 结果。","如果你需要一个可处理大型导出文件的免费 CSV diff 工具，这正是此页面的核心价值。"]},{"TITLE":"兼容多种 CSV 编码","PARAGRAPHS":["真实世界中的 CSV 文件并不总是以标准 UTF-8 保存。该工具能够处理常见的表格与导出编码，包括 UTF-8、带 BOM 的 UTF-8、UTF-16 LE、UTF-16 BE、Windows-1252 以及 Latin-1 风格文件。","当你需要对来自 Excel、旧版业务软件或区域性导出文件进行在线 CSV 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为基础，并排除仅存在于更新文件中的行。"},{"QUESTION":"我可以忽略空白或大小写差异吗？","ANSWER":"可以。比较设置支持忽略空白、忽略大小写，并将空值或类 null 值视为相等。这有助于你聚焦真实的数据变化，而不是仅仅看到格式层面的噪音。"},{"QUESTION":"支持哪些 CSV 编码？","ANSWER":"该工具兼容常见的 CSV 编码，包括 UTF-8、带 BOM 的 UTF-8、UTF-16 LE、UTF-16 BE、Windows-1252 和 Latin-1 风格文件。这对于处理来自 Excel、旧版软件和非 UTF-8 业务系统的 CSV 导出非常有帮助。"},{"QUESTION":"我可以在 diff 中看到行号吗？","ANSWER":"可以。当按 key column 匹配行时，diff 数据表可以显示两个文件中的行号。如果某条记录在两个文件中的行号不同，则会同时显示两个行号，方便你回溯到源 CSV。"},{"QUESTION":"有哪些可用的输出格式？","ANSWER":"你可以导出 summary CSV、变更行 CSV 或完整 diff CSV。输出设置还允许你选择分隔符，并决定是否包含未变更的行。"},{"QUESTION":"这个工具可以比较大型 CSV 文件吗？","ANSWER":"可以。预览会保持在受控范围内，以确保页面响应流畅；同时系统仍会计算完整 diff，用于统计和下载。因此它比依赖大量 DOM 渲染的简单查看器更适合处理较大的导出文件。"},{"QUESTION":"这个 CSV 对比工具是免费的吗？","ANSWER":"是的。本页面提供免费的在线 CSV diff 工具。你可以在线比较 CSV 文件、查看差异，并下载结果，无需安装桌面软件。"}],"OTHER_TOOLS_DESC":"比较完两个 CSV 文件后，还需要其他数据工具吗？这些工具专为相邻的数据清洗与格式转换 workflow 而设计。"},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV 行拆分器 — 按分隔符拆分/展开 CSV 行","PAGE_DESC":"免费在线工具，可按分隔符拆分 CSV 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tools"],"HERO_TITLE":"按分隔符拆分 CSV 行 — 几秒完成，无需 Excel 公式。","HERO_DESC":"我从 CRM 导出了联系人，所有 emails 都挤在一个单元格里，用逗号分隔。我需要每行只有一个 email。用 Excel 做起来很痛苦，这个工具 10 秒就够。","WHY_TITLE":"为什么拆分多值单元格很重要","WHY_DESC":"CRM、电商平台和问卷导出的数据，常常会把多个值塞进同一个单元格。tags、emails、电话号码、分类——都堆在一个分隔符后面。规范化后的数据更容易导入、去重、筛选和 enrich。每行一个值，才是大多数工具默认期望的数据格式。","INTRO_CARDS":[{"TITLE":"将 CSV 中的一列拆分为多行","PARAGRAPHS":["当你需要把 CSV 中的一列拆分成多行时，就可以使用这个工具。它特别适合这类文件：一个单元格中包含多个 emails、tags、电话号码、分类、技能或 ID，并由分隔符隔开。","这是规范化 CSV 数据、处理 CSV 多值单元格的最快方式之一，尤其适合在将文件导入其他系统之前使用。与其在一条记录中保留多个值，不如直接展开 CSV 行，让每个值都有自己独立的一行。"]},{"TITLE":"如何在 Excel 中将一个单元格拆分为多行","PARAGRAPHS":["很多人会搜索如何在 Excel 中将一个单元格拆分成多行，或者如何将逗号分隔的值拆分为 Excel 中的多行。对于 CSV 文件，这个在线工具通常比写公式、使用 Power Query 或手动复制行更快。","粘贴或上传你的 CSV，选择目标列，确认分隔符，然后下载结果。如果你的目标是在线把 CSV 中的多值单元格转换为多行，这个页面就是为这种 workflow 专门设计的。"]}],"EXAMPLES":{"EMAILS":{"TITLE":"示例：将包含多个 email 的联系人拆分为每个 email 一行","DESCRIPTION":"常见的 CRM 导出会把某个联系人的所有 email 放在同一个单元格中。拆分后，每个联系人会展开为多行，便于导入到任何工具中。","INPUT_LABEL":"CSV 输入","OUTPUT_LABEL":"CSV 输出"},"TAGS":{"TITLE":"示例：将产品 tags 展开为独立行","DESCRIPTION":"产品目录通常会把多个 tags 放在同一个单元格中。拆分后，你会得到干净的“每行一个 tag”结构，方便筛选、分组和分析。","INPUT_LABEL":"CSV 输入","OUTPUT_LABEL":"CSV 输出"}},"SETTINGS_CARDS":[{"TITLE":"工具如何拆分 CSV 行","ITEMS":[{"TITLE":"要拆分的列","BODY":"选择包含多个值的列，这些值位于同一个单元格中。其他列会在新生成的各行中自动复制。当前版本一次只能展开一列。"},{"TITLE":"单元格分隔符","BODY":"这是单元格内部用于分隔多个值的字符——不同于 CSV 的列分隔符。常见选项包括逗号、分号、竖线和制表符。工具会根据你的数据推荐合适的分隔符。"},{"TITLE":"去除空格","BODY":"默认启用。拆分后会移除每个值前后的空白字符。当值之间是 \", \" 而不只是 \",\" 时，这个选项尤其有用。"}]},{"TITLE":"高级选项","ITEMS":[{"TITLE":"删除重复值","BODY":"当一个单元格包含 `a,a,b` 时，启用此选项后只保留一个 `a`，最终生成两行而不是三行。适合处理源数据中的意外重复。"},{"TITLE":"跳过空值","BODY":"当拆分结果产生空字符串时，例如尾部分隔符 `a,b,` 导致的情况，此选项会忽略该空值，而不是创建一条空白行。"},{"TITLE":"默认保留空单元格","BODY":"如果某个单元格完全为空，则该行会原样保留。只有真正包含分隔符的单元格才会被展开。"}]}],"INFO_CARDS":[{"TITLE":"支持大体量 CSV 文件","PARAGRAPHS":["拆分操作会增加行数，有时增幅会很明显。例如，一个有 5,000 行、且每个单元格平均包含 3 个值的文件，拆分后会变成 15,000 行。这个工具可以轻松处理。","预览只显示前 100 行输出，以保持浏览器响应流畅。确认拆分结果正确后，你可以下载完整的 CSV 文件。"]},{"TITLE":"兼容多种 CSV 编码","PARAGRAPHS":["来自电子表格和旧系统导出的 CSV 文件，编码格式并不总是相同。这个工具支持常见的 CSV 编码，包括 UTF-8、带 BOM 的 UTF-8、UTF-16 LE、UTF-16 BE、Windows-1252 以及 Latin-1 风格文件。","这让它在处理包含重音字符、特殊字符或老旧导出格式的 CSV 文件时更可靠，而这些文件往往会让基础在线工具出错。"]},{"TITLE":"你的文件不会离开浏览器","PARAGRAPHS":["所有解析和拆分都在你的浏览器本地通过 Web Worker 完成，不会上传到任何服务器。这对于处理客户数据、CRM 导出或敏感联系人列表尤其重要。","此工具可免费使用，无需注册账号。"]}],"USE_CASES_TITLE":"何时使用这个工具","USE_CASES":[{"TITLE":"将逗号分隔的值拆分为多行","BODY":"把一个单元格中的 `a,b,c` 转成三条独立行——这是 CRM 和电商导出中最常见的用例。"},{"TITLE":"规范化每个单元格包含多个 emails 的 CSV","BODY":"展开联系人列表中“一个人对应多个 emails 且集中在同一列”的数据，让每个 email 都拥有独立的一行。"},{"TITLE":"将包含多个值的列拆分为多行","BODY":"当某个 CSV 列在一个单元格中存储多个值时，将其展开为多行，可让文件更易于导入、筛选和分析。"},{"TITLE":"展开 tags 和分类","BODY":"产品目录、博客文章和支持工单经常在一个字段中存储多个 tags。分析前先将它们规范化。"},{"TITLE":"拆分多个电话号码","BODY":"当联系人在一个单元格中包含多个电话号码时，可将它们拆分为独立行，便于更干净地导入到拨号工具或 CRM。"},{"TITLE":"为去重准备 tidy data","BODY":"每行一个值是 tidy data 的标准。拆分后，你可以使用 Datablist 对结果进行去重、筛选和 enrich。"},{"TITLE":"为导入做好数据准备","BODY":"大多数 CRM 和营销平台都要求每行一个值。拆分通常是导入或 enrich 数据前的第一步。"}],"VOCABULARY":{"TITLE":"CSV explode、unnest、flatten 或 unpivot","PARAGRAPHS":["不同工具对这种转换有不同叫法。你可能在寻找 CSV explode 列工具、展开 CSV 列的方法、展平 CSV 列的方法，或者针对多值列的 CSV unpivot workflow。","但在实践中，目标是相同的：把每个单元格中包含多个值的数据整理成 tidy data，让一个值对应一行。这样的结构更容易做 join、去重、分组、enrich 和导出。"]},"FAQ_TITLE":"常见问题","FAQ_ITEMS":[{"QUESTION":"可以使用分号作为单元格分隔符吗？","ANSWER":"可以。该工具支持逗号、分号、竖线、制表符以及自定义分隔符。当你选择某一列时，它也会尝试根据数据自动识别正确的分隔符。"},{"QUESTION":"支持大 CSV 文件吗？","ANSWER":"支持。拆分过程在 Web Worker 中执行，因此不会阻塞浏览器。预览最多显示 100 行，但即使你的文件有数万行，也仍然可以下载完整输出结果。"},{"QUESTION":"我的数据会被上传到服务器吗？","ANSWER":"不会。所有操作都在你的浏览器本地运行。你的 CSV 永远不会发送到任何服务器。因此它适合处理客户数据、内部导出以及任何你不希望上传的内容。"},{"QUESTION":"支持哪些 CSV 编码？","ANSWER":"该工具兼容常见的 CSV 编码，包括 UTF-8、带 BOM 的 UTF-8、UTF-16 LE、UTF-16 BE、Windows-1252 和 Latin-1 风格文件。这对于来自 Excel、旧软件或包含重音字符的导出文件尤其有帮助。"},{"QUESTION":"不包含分隔符的单元格会怎样处理？","ANSWER":"它们会保持原样。只有实际包含分隔符字符的单元格才会被展开为多行。空单元格默认也会保留。"},{"QUESTION":"能正确处理带引号的 CSV 字段吗？","ANSWER":"可以。底层 CSV 解析器会正确处理带引号的字段。像 \"mia.chen@example.test,mia@workmail.test\" 这样的值会被视为一个单独字段，并按单元格分隔符拆分，而不是按 CSV 分隔符拆分。"}],"CTA_TITLE":"拆分后还需要去重或 enrich 数据？","CTA_DESC":"当你的数据完成规范化——每行一个值——Datablist 可以帮助你轻松完成联系人去重、接入外部数据进行 enrich、按任意列筛选，并导出干净的最终文件。","CTA_LABEL":"免费试用 Datablist","OTHER_TOOLS_DESC":"拆分 CSV 后还需要其他数据工具？这些工具覆盖了相邻的数据清洗与格式转换 workflow。"},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — 按行数、大小、值、规则或日期拆分 CSV 文件","PAGE_DESC":"面向真实脏数据导出的免费在线 CSV Splitter。自动检测列、智能推荐拆分方式、预览输出文件，并可直接在浏览器中下载 CSV 或 ZIP 结果。","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"免费在线 CSV splitter，可按行数、文件大小、分组值、规则和日期范围拆分文件。完全在浏览器中运行，并将多文件导出下载为 ZIP 压缩包。","TOOL":{"ANALYSIS_COLUMNS":"列","ANALYSIS_DELIMITER":"分隔符","ANALYSIS_ENCODING":"编码","ANALYSIS_ROWS":"行数","DOWNLOAD_ACTIVE_FILE":"下载当前文件","EMPTY_SOURCE_LABEL":"上传 CSV 或粘贴到下方","ERROR_INVALID_ROWS_PER_FILE":"每个文件的行数必须是大于 0 的整数。","ERROR_LOAD_FILE":"无法加载此 CSV 文件。","ERROR_LOAD_PASTED_CSV":"无法读取已粘贴的 CSV。","ERROR_MISSING_RULES":"预览此次拆分前，请至少添加一条规则。","ERROR_MISSING_SOURCE":"继续之前，请先粘贴 CSV。","ERROR_MISSING_SOURCE_FOR_PREVIEW":"请先上传或粘贴 CSV。","ERROR_RULE_FILE_LABEL":"预览此次拆分前，每条规则都需要设置目标文件名。","FILE_HINT":"CSV 分隔符、带引号的换行、重复表头和编码都会自动处理。","LOAD_FIRST_DESC":"上传文件或粘贴 CSV，然后选择一种拆分模式以继续。","LOAD_FIRST_TITLE":"请先加载 CSV","MODE_LOCKED_HINT":"上传或粘贴 CSV 后，即可启用这些拆分模式。","MODE_OPTIONS":[{"DESCRIPTION":"按固定行数创建文件。这是大多数导出场景下最安全的默认选项。","LABEL":"按行拆分","MODE":"rows"},{"DESCRIPTION":"当其他工具拒绝较大的 CSV 文件时，将每个文件控制在大致的上传限制以内。","LABEL":"按文件大小拆分","MODE":"size"},{"DESCRIPTION":"按国家、负责人、状态或其他重复类别分别创建文件。","LABEL":"按列值拆分","MODE":"column_value"},{"DESCRIPTION":"根据国家、email 域名或公司规模等简单条件，将行分配到不同文件。","LABEL":"按规则拆分","MODE":"conditional"},{"DESCRIPTION":"使用日期列按月份、年份或 ISO 周对行进行分组。","LABEL":"按日期范围拆分","MODE":"date_range"}],"PASTE_CARD_DESC":"适合快速测试，或当文件已经在你的剪贴板中时使用。","PASTE_CARD_TITLE":"粘贴 CSV","PASTE_DROP_HINT":"粘贴或拖放文件","PASTED_LABEL":"已粘贴的 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Datablist 的服务器上运行，绝不会通过您的 LinkedIn 会话进行，因此无法追溯到您的账号，也不会计入您的 LinkedIn 活动限额。您将获得一份整洁的表格，可直接补充 email 或推送到 CRM。"}],"CTA":{"TITLE":"抓取完整搜索结果，而不只是十条 leads","BODY":"免费账号初始即有 500 credits，并且绝不会连接您的 LinkedIn。","LABEL":"创建免费账号"}},"USE_CASES":{"TITLE":"使用场景","ITEMS":[{"title":"从零开始构建 lead 列表","body":"将经过精细筛选的 Sales Navigator 搜索结果转换为整洁、去重且可以直接使用的列表，无需手动逐页浏览结果。","ctaLabel":"Lead 列表构建指南","ctaHref":"/how-to/lead-list-building-guide"},{"title":"查找已抓取 leads 的 email","body":"只有姓名和职位还不足以进行联系。通过瀑布式 email finder 处理抓取的列表；该工具会依次查询 20 多家服务商，尽可能为联系人找到 email。","ctaLabel":"批量查找 Email","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"一次性导出完整搜索结果","body":"手动逐页浏览 Sales Navigator 结果，最多只能处理几十条 leads。一次性导出全部搜索结果，才能真正高效地构建列表。","ctaLabel":"导出 Sales Navigator Leads","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"安全抓取，避免封号风险","body":"如果您一直因为担心失去人脉网络而不敢进行抓取，这套 workflow 可以彻底消除账号风险。","ctaLabel":"安全抓取指南","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Sales Navigator 抓取工具对比","INTRO":"下方所有其他工具都会通过您自己的 LinkedIn 会话进行抓取，使用扩展程序或由您提供的会话 Cookie。Datablist 是唯一完全不会连接您账号的工具。","HEADERS":["工具","您的 LinkedIn 账号","需要您提供的信息","起始价格","每条 lead 成本","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["从不连接","一个搜索 URL","$$25/月","$$0.05","支持，覆盖 20+ 家服务商"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["存在风险","安装在您账号会话中的扩展程序","$$39/月","$$0.039","支持"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["存在风险","安装在您账号会话中的扩展程序","$$9/月","$$0.09","支持"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["存在风险","您的会话 Cookie","$$69/月","视情况而定","支持"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["存在风险","您的会话 Cookie","$$19/月","视情况而定","不支持"]}],"NOTE":"价格为各工具按月计费的最低付费套餐价格，并已于 2026 年 9 月根据各供应商的官方定价页面核实。每条 lead 的成本根据该套餐所含的 leads 数量计算。","SOURCES":[{"n":1,"label":"Datablist 定价","href":"/pricing"},{"n":2,"label":"Skrapp 定价","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evaboot 定价","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombuster 定价","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apify 定价","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"唯一完全不接触您账号的工具","BODY":"免费开始使用，获赠 500 credits。无需扩展程序、会话 Cookie 或银行卡。","LABEL":"创建免费账号"}},"RELATED":{"TITLE":"相关工具","EYEBROW":"需要批量处理？","ENRICHMENT":{"label":"Sales Navigator 抓取工具","href":"/sources/linkedin-search-scraper","blurb":"抓取完整搜索结果，而不只是预览十条 leads，并且仍然无需连接您的 LinkedIn 账号。"},"TOOLS":[{"label":"免费域名查找工具","href":"/tools/domain-finder","blurb":"根据公司名称查找网站，并提供可信度评分。"},{"label":"免费 Email Finder","href":"/tools/email-finder","blurb":"根据姓名和公司查找工作 email。"},{"label":"公司名称清理工具","href":"/tools/company-name-cleaner","blurb":"使用 AI 清理工具移除公司法律实体后缀并修正大小写。"}]},"FAQ":{"TITLE":"常见问题","ITEMS":[{"question":"我需要订阅 Sales Navigator 吗？","answer":"需要。Sales Navigator 的高级筛选条件会生成此工具读取的搜索 URL，因此您需要有效订阅才能创建该 URL。但您无需向我们提供账号访问权限。"},{"question":"为什么这个工具是安全的，而其他抓取工具不安全？","answer":"上方对比中的其他所有工具都会通过您已登录的 LinkedIn 会话执行抓取，具体方式是使用浏览器扩展程序或由您粘贴会话 Cookie。LinkedIn 的用户协议禁止此类行为，一旦被查处，受到影响的是您的账号。Datablist 只读取搜索 URL，并通过自己的基础设施提取数据，因此不会留下任何可追溯到您的信息。"},{"question":"完整抓取需要多少费用？","answer":"在不连接您的 LinkedIn 账号时，每条 lead 消耗 20 credits；如果您选择连接自己的账号，则为 10 credits。Datablist 的起始价格为每月 $25，按月计费，每月包含 5,000 credits。"},{"question":"Datablist 的 Sales Navigator 抓取工具有任何限制吗？","answer":"有。它无法抓取包含账号关联筛选条件的搜索，例如“关注您公司主页”、已保存列表或从 CRM 同步的任何内容，因为这些数据需要通过您的个人账号登录才能访问，而我们不会连接该账号。"}]}},"TOOL":{"LABEL":"您的 Sales Navigator 搜索 URL","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"无需 LinkedIn 登录信息、Cookie 或会话 ID。我们绝不会连接您的账号。","SUBMIT":"抓取 leads","BUSY":"正在抓取","RESULTS":"以下是您搜索结果中的前 {count} 条 leads，可免费查看。","NAME":"姓名","JOB_TITLE":"职位","COMPANY":"公司","LOCATION":"地区","COPY":"复制","COPIED":"已复制","DOWNLOAD":"下载 CSV","NOTE":"免费预览会显示 {count} 条 leads，但不包含联系方式。运行完整抓取后，可通过 Datablist 的数据补充功能获取 email 和个人资料 URL。","ERROR_EMPTY":"请粘贴 Sales Navigator 搜索 URL 以开始。","ERROR_URL":"这似乎不是有效的 URL。","ERROR_HOST":"该链接指向 {host}，而不是 LinkedIn。","ERROR_PROFILE":"这是单个 LinkedIn 个人资料，而不是搜索结果。","ERROR_RECORD":"这是单条 Sales Navigator 记录，而不是搜索结果。","ERROR_SEARCH":"这是 LinkedIn 链接，但不是 Sales Navigator 搜索链接。","ERROR_FAILURE":"抓取未完成，请稍后重试。","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"抓取完整列表","ERROR_HINTS":{"url":"在 Sales Navigator 中打开您的搜索，然后复制地址栏中的 URL。","host":"Sales Navigator URL 以 linkedin.com/sales/search/ 开头","profile":"请先在 Sales Navigator 中运行搜索，然后复制该 URL。","record":"返回搜索结果页面，并从那里复制 URL。","search":"请查找 linkedin.com/sales/search/people 或 /sales/search/company"}}},"ToolsEmailFinder":{"CONTENT":{"META_TITLE":"免费 Email Finder | Datablist","META_SOCIAL_TITLE":"免费 Email 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One found email free per day. Copy or download your result, with no signup required.","SCHEMA_NAME":"Datablist 免费 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":"免费 Email Finder","DESCRIPTION":"Find one work email free each day. Give a name and company, or a LinkedIn profile.\nNo signup required."},"WATERFALL":{"TITLE":"为什么瀑布式查找优于单次查询","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":"深受初创公司与大型企业信赖","STATS":[{"value":"35,000+","label":"家公司正在使用 Datablist"},{"value":"20M+","label":"每月完成数据丰富的行数"},{"value":"60+","label":"种 lead generation 工具"}],"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":"工作原理","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":"免费账户初始即获 500 个 credits，并可一次处理整份名单。","LABEL":"创建免费账户"}},"USE_CASES":{"TITLE":"应用场景","ITEMS":[{"title":"创建真正可触达的 leads 名单","body":"仅有姓名和公司还无法联系对方。将抓取或导出的名单转换为可用于发送 email 的名单，才真正让数据产生价值。","ctaLabel":"批量查找 Email","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"补全现有名单中的缺失信息","body":"大多数导出的名单都不完整。仅处理缺少邮箱地址的行，未找到结果的查询无需付费。","ctaLabel":"创建包含 Email 的 Leads 名单","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"使用您自己的提供商密钥","body":"已经在为 Hunter、Dropcontact 或类似服务付费？使用您自己的密钥运行瀑布式查找，即可完全绕过 Datablist credits 系统。","ctaLabel":"自定义瀑布式 Email Finder","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"发送前进行个性化处理","body":"经过验证的地址只是起点，而不是终点。email 能否奏效，取决于开头第一句话是否让人感觉是专门为收件人撰写的。","ctaLabel":"冷启动 Email 个性化","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"实际找到 1,000 个 email 需要多少费用","INTRO":"按 credit 标示的价格掩盖了真正重要的信息：获得 1,000 个真正可发送的地址究竟需要支付多少费用。Hunter 查询的是单一索引，因此每个 email 的成本更低。瀑布式查找的单次查询成本更高，但能找到单一来源无法覆盖的联系人。在瀑布式查找工具中，Datablist 的价格最低。","HEADERS":["工具","每 1,000 个 email 的成本","查找方式","未命中结果"],"BEST_LABEL":"所有瀑布式工具中最低","BEST_LABEL_MOBILE":"{cost} · 所有瀑布式工具中最低","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"单一来源索引","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"20+ 家提供商瀑布式查找","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"20+ 家提供商瀑布式查找","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"20+ 家提供商瀑布式查找","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"专有数据库","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150+ 项集成","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"仅提供报价","approach":"专有数据库","misses":"未公布","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"仅提供报价","approach":"专有数据库","misses":"未公布","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"每找到 1,000 个 email 的成本，数据来自 Datablist 已发布的比较分析及各供应商的定价页面，核查于 2026 年 9 月。列出的所有工具都只对成功找到的地址收费，因此可直接比较。仅提供报价的供应商未公开费率。","SOURCES":[{"n":1,"label":"Datablist 的 CPME 分析","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablist 定价","href":"/pricing"},{"n":3,"label":"Hunter.io 定价","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContact 定价","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrich 定价","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apollo 定价","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clay 定价","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"只为实际获得的 email 付费","BODY":"免费开始使用，并获得 500 个 credits。未找到结果的查询不收费。","LABEL":"创建免费账户"}},"RELATED":{"TITLE":"相关工具","EYEBROW":"需要批量处理？","ENRICHMENT":{"label":"瀑布式 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":"免费域名查找工具","href":"/tools/domain-finder","blurb":"将公司名称转换为网站地址，并提供置信度评级。"},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"从搜索 URL 获取 leads，无需操作您的 LinkedIn 账户。"},{"label":"公司名称清理工具","href":"/tools/company-name-cleaner","blurb":"使用 AI 清理工具移除公司法律实体后缀并修正大小写。"}]},"FAQ":{"TITLE":"常见问题","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":"您希望如何搜索？","MODE_NAME":"姓名 + 公司","MODE_LINKEDIN":"LinkedIn URL","FIRST_NAME":"名字","LAST_NAME":"姓氏","COMPANY":"公司或域名","LINKEDIN":"LinkedIn 个人资料 URL","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"域名比公司名称的查找效果更好。","HINT_LINKEDIN":"请提供个人资料，而非公司页面。","COPY":"复制","COPIED":"已复制","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":"注册免费账户即可获得 500 个 credits，足以找到 20 个 email。无需信用卡。","BANNER_CTA":"免费获取 500 个 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":"免费公司名称清洗工具 | Datablist","META_SOCIAL_TITLE":"免费公司名称清洗工具","META_DESCRIPTION":"使用 AI 每次最多清洗 10 个公司名称。统一大小写和法律实体后缀，然后复制或导出结果。无需注册；每日有使用额度限制。","SCHEMA_NAME":"Datablist 免费公司名称清洗工具","SCHEMA_DESCRIPTION":"使用 AI 每次最多清洗 10 个公司名称。统一大小写和法律实体后缀，然后复制或导出结果。无需注册；每日有使用额度限制。","BREADCRUMB_CURRENT":"公司名称清洗工具","HERO":{"TITLE":"免费规范杂乱的公司名称","DESCRIPTION":"粘贴列表，修正大小写，并选择是否保留法律实体后缀。每次最多处理 10 个名称，无需注册。"},"FORMULA":{"TITLE":"为什么不直接使用电子表格公式？","QUOTE":"“最终你会得到一个庞大且层层嵌套的 SUBSTITUTE 公式，一旦遇到无法识别的后缀就会失效。”这正是手写公式的陷阱：它只能识别你预先想到的模式，每出现一种新格式，都要修改本就难以阅读的公式。AI 清洗工具则会结合上下文理解名称，因此即使遇到没人专门编写规则的后缀、大小写样式或行业缩写，也能妥善处理。","HEADERS":["处理前","处理后","处理说明"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"修正全大写并移除后缀"},{"raw":"müller & söhne gmbh & co. kg","note":"修正全小写；优先识别复合法律实体后缀，而非仅识别“GmbH”"},{"raw":"\"Tech Company, INC.\"","note":"移除首尾引号和后缀"},{"raw":"SAP","note":"命中缩写白名单，完全保持原样"},{"raw":"1234567 Ontario Inc.","note":"编号公司格式；使用前请检查清洗后的名称"}],"NOTE":"以上为示例。AI 清洗工具仅返回清洗后的公司名称，不提供置信度评分或说明。使用重要名称前请仔细检查。","REVIEW":"需检查"},"FIXES":{"TITLE":"可以修复哪些问题","ITEMS":[{"icon":"Scissors","title":"移除法律实体后缀","body":"AI 清洗工具可以移除 Inc.、LLC、Ltd.、GmbH 和 SAS 等法律实体形式，同时保留易于识别的公司名称。"},{"icon":"CaseSensitive","title":"修正大小写","body":"清洗工具会统一不一致的大小写，同时保留易于识别的品牌名称和缩写。"},{"icon":"Eraser","title":"空格、引号和标点","body":"合并重复空格，移除从电子表格粘贴时残留的首尾引号，并清理移除后缀后留下的末尾逗号或句号。"},{"icon":"CopyCheck","title":"对比处理前后结果","body":"复制结果或下载 CSV 前，对比原始名称与清洗后的名称。"}]},"SOCIAL":{"TITLE":"深受初创企业和大型企业信赖","STATS":[{"value":"35,000+","label":"家公司正在使用 Datablist"},{"value":"20M+","label":"每月完成数据丰富的行数"},{"value":"60+","label":"款 lead generation 工具"}],"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":"工作原理","STEPS":[{"step":1,"title":"粘贴列表","body":"每行一个公司名称，每次最多处理 10 个。可直接处理从 CRM 导出的数据、抓取的 leads 列表或电子表格列，包括混乱的大小写和法律实体后缀。设置此上限是因为处理每个名称都会消耗 credits，并非工具无法处理更多数据。"},{"step":2,"title":"清洗工具规范每个名称","body":"AI 清洗工具会返回清洗后的名称，供你与原始名称对比。它不会返回置信度评分或说明。"},{"step":3,"title":"复制或下载结果","body":"将规范后的名称直接复制到剪贴板，或下载完整的 CSV 对比文件，其中包含每行的原始名称、清洗后名称和结果状态。"}],"CTA":{"TITLE":"一次清洗超过 10 个名称","BODY":"免费账户初始包含 500 credits，足以处理 1,000 个公司名称。","LABEL":"创建免费账户"}},"USE_CASES":{"TITLE":"使用场景","ITEMS":[{"title":"在名称进入 CRM 前进行规范","body":"在重复的“Acme Inc”和“ACME Corporation”记录堆积到同一条 pipeline 前，修正不一致的大小写和法律实体后缀。","ctaLabel":"如何规范公司名称","ctaHref":"/how-to/normalize-company-names"},{"title":"对现有列表进行去重","body":"对于大多数工具来说，仅大小写或后缀不同的两行会被视为不同公司。先规范名称，重复项便一目了然。","ctaLabel":"如何对公司名称去重","ctaHref":"/how-to/dedupe-company-names"},{"title":"更新陈旧的 CRM 导出数据","body":"从旧系统导出的数据最容易积累不一致的命名。重新导入时先进行规范，以免将混乱继续带入新系统。","ctaLabel":"清洗、丰富和更新 CRM 数据","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"发送 email 前规范列表","body":"公司名称字段会用于个性化变量。名称中多余的引号或刺眼的全大写，正是收件人会注意到的细节。","ctaLabel":"Email 列表清洗指南","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"免费规范你的列表","RELATED":{"TITLE":"相关工具","EYEBROW":"需要批量处理？","ENRICHMENT":{"label":"公司名称清洗数据丰富功能","href":"/enrichments/company-name-cleaner","blurb":"使用相同的清洗工具，但不受 10 个名称的限制，可直接对 Datablist 中的数据集运行。每个名称消耗 0.5 credits，重复行会使用缓存，不会重复计费。"},"TOOLS":[{"label":"免费域名查找工具","href":"/tools/domain-finder","blurb":"根据公司名称查找网站，并提供置信度评级。"},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"通过搜索 URL 获取 leads，无需操作你的 LinkedIn 账户。"},{"label":"免费 Email Finder","href":"/tools/email-finder","blurb":"根据姓名和公司查找工作 email。"}]},"FAQ":{"TITLE":"常见问题","ITEMS":[{"question":"这个免费工具是否基于 AI？","answer":"是的。它使用 Datablist 的 AI 公司名称清洗工具，与付费数据丰富功能使用的是同一款工具。它会理解上下文和行业术语，而不是仅匹配固定的后缀列表。由于处理每个名称都需要消耗 credits，每次最多可处理 10 个名称，每个名称消耗 0.5 credits。"},{"question":"我可以免费规范多少个名称？","answer":"每次最多 10 个，并受每个浏览器会话和 IP 每日 5 credits 的额度限制。每个提交的名称会预留 0.5 credit；任务完成后，未使用的预留额度将被释放。额度会在 UTC 时间午夜重置。"},{"question":"清洗工具会返回置信度评分吗？","answer":"不会。它只返回清洗后的公司名称。表格会显示返回的名称是否与输入内容不同。使用重要或含义不明确的名称前，请仔细检查。"},{"question":"我粘贴的名称会发送到哪里？","answer":"这些名称会发送到 Datablist 进行规范，因为清洗工具是在我们的基础设施上运行的 AI 模型，而不是浏览器中的脚本。只有按下按钮后任务才会运行，因此在发送任何内容前，你可以清楚查看从剪贴板读取了哪些内容。"},{"question":"这个工具与付费数据丰富功能有什么区别？","answer":"清洗工具相同，处理规模不同。此页面无需账户，每次可处理 10 个名称。数据丰富功能可直接对 Datablist 中的数据集运行，没有 10 个名称的限制，每个名称消耗 0.5 credits；无需导出后再重新粘贴，重复行还会使用缓存，不会重复计费。"},{"question":"我可以规范已经导入 Datablist 的名称吗？","answer":"可以。付费数据丰富功能可直接对 Datablist 中的数据集运行，因此无需导出后再重新粘贴。此免费工具适合快速处理你当前手头的列表。"}]}},"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. 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Datablist","CSV_NAME":"名称","LOADING":"加载中","ERROR":"错误","COMPLETE":"已完成","HISTORY_TITLE":"最近的查询","HISTORY_DESCRIPTION":"结果可用期间，你可以在此浏览器中打开或移除查询，最长保留 24 小时。从这里移除查询不会停止任务，也不会返还 credits。","HISTORY_REMOVE":"从此浏览器中移除 {name}","HISTORY_COMPLETE":"已完成","HISTORY_FAILED":"需要处理","HISTORY_ATTENTION":"正在检查状态","HISTORY_RUNNING":"处理中","CLEAN_ONE":"清洗名称","CLEAN_MANY":"清洗名称","NORMALIZE_ALL":"规范全部 {count} 个名称","ORIGINAL":"原始名称","NORMALIZED":"规范后名称","WHAT_CHANGED":"变更内容","REVIEW":"需检查","DUPLICATE_OF":"与“{name}”重复","NO_CHANGE":"无需更改","CHANGES":{"spaces":"已合并多余空格","quotes":"已移除引号","suffix":"已移除法律实体后缀","casing":"已修正大小写"},"COPY":"复制规范后的名称","COPIED":"已复制","DOWNLOAD":"下载 CSV","REVIEW_CTA_ONE":"有 1 行被标记为 需检查——清洗工具对该结果的把握不足。Datablist 基于 AI 的数据丰富功能会理解上下文，而不只是匹配后缀列表。","REVIEW_CTA_MANY":"有 {count} 行被标记为 需检查——清洗工具对这些结果的把握不足。Datablist 基于 AI 的数据丰富功能会理解上下文，而不只是匹配后缀列表。","SEE_ENRICHMENT":"查看数据丰富功能","DEBUG_NOTICE":"这是 beta action 的调试结果。这些是测试数据，并非针对所提交人员的真实查询结果。","CHANGED":"已更改","UNCHANGED":"未更改","COPY_ERROR":"复制失败。请重试或下载 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的云端抓取工具（PhantomBuster）","body":"要求您从开发者工具中复制并粘贴敏感的 sessionid Cookie。这相当于将您已登录的 Instagram 身份交给外部服务器，使账号面临高风险。"}]},"SOCIAL":{"TITLE":"深受初创公司和大型企业信赖","STATS":[{"value":"35,000+","label":"家公司正在使用 Datablist"},{"value":"20M+","label":"每月完成数据丰富的行数"},{"value":"60+","label":"种 lead generation 工具"}],"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":"使用方式","STEPS":[{"step":1,"title":"输入 Instagram 主页或用户名","body":"粘贴任意公开 Instagram 主页 URL（例如 instagram.com/nike）、用户名（@nike）或数字用户 ID。使用完整版 Datablist 应用时，也可以一次粘贴多个网红主页。"},{"step":2,"title":"我们通过云服务器安全抓取","body":"提取操作完全在 Datablist 的专用基础设施上运行。我们绝不会索取您的 Instagram 密码、双重验证码或会话 Cookie（sessionid），确保您的个人账号不会因操作限制或封禁而受到影响。"},{"step":3,"title":"导出并通过 email 和电话丰富数据","body":"将整理好的粉丝表下载为 CSV 或 Excel。在 Datablist 中，您可以让抓取到的用户名依次通过 15+ 家 email 和电话数据提供商，为创作者营销活动查找经过验证的联系信息。"}],"CTA":{"TITLE":"抓取完整粉丝列表，不只查看十行预览","BODY":"免费 Datablist 账号包含 500 个 credits（最多可抓取 50,000 位粉丝），完全无需登录 Instagram。","LABEL":"创建免费账号"}},"USE_CASES":{"TITLE":"使用场景","ITEMS":[{"title":"受众与竞争对手分析","body":"准确了解哪些人在关注竞争品牌和细分领域的头部账号。分析共同兴趣、认证比例和受众人口特征，优化您的市场定位。","ctaLabel":"Lead 列表构建指南","ctaHref":"/how-to/lead-list-building-guide"},{"title":"网红营销与创作者发掘","body":"提取行业头部创作者的粉丝列表，并筛选已认证主页或带有公开联系标签的主页，建立高转化的合作名单。","ctaLabel":"网红数据抓取指南","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"查找 Instagram leads 的 email","body":"仅有 Instagram 用户名无法直接开展 B2B outreach。通过 Datablist 的瀑布式 email finder 处理粉丝列表，查找经过验证的工作 email。","ctaLabel":"批量查找 Email","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"大规模抓取且不会导致账号被封","body":"传统工具迫使您拿一个 Instagram 账号去承受反抓取算法的风险。Datablist 的服务器端引擎可彻底消除账号风险。","ctaLabel":"Instagram 粉丝抓取文档","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Instagram 粉丝抓取工具对比","INTRO":"其他工具不是在您当前的浏览器中自动执行点击，就是要求粘贴敏感的会话 Cookie。Datablist 是唯一在隔离的云端基础设施上执行抓取的平台。","HEADERS":["工具","IG 账号","所需信息","价格","每位粉丝成本","数据丰富"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"从不连接账号","needs":"主页 URL 或 @用户名","cost":"$$25/月或免费试用","perFollower":"$$0.0001（0.01 credits）","enrichment":"Email 和电话瀑布式查询","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"存在风险","needs":"您的会话 Cookie（sessionid）","cost":"$$69/月","perFollower":"按时间计费（约 $0.003）","enrichment":"需要单独的 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粉丝抓取工具","href":"/sources/instagram-followers","blurb":"从多个主页批量抓取最多 2,000,000 位粉丝，按创作者筛选，并通过经过验证的 email 丰富数据。"},"TOOLS":[{"label":"免费 LinkedIn 主页抓取工具","href":"/tools/linkedin-profile-scraper","blurb":"从任意 LinkedIn 主页提取经过验证的工作经历、技能和当前职位。"},{"label":"免费 Sales Navigator 抓取工具","href":"/tools/sales-navigator-scraper","blurb":"无需连接 LinkedIn 账号，即可从 Sales Navigator 搜索结果中提取 leads。"},{"label":"免费 Email Finder","href":"/tools/email-finder","blurb":"根据姓名和域名，在 15+ 家提供商中进行瀑布式 email 查询。"}]},"FAQ":{"TITLE":"常见问题","ITEMS":[{"question":"我需要连接 Instagram 账号或提供登录信息吗？","answer":"不需要。Datablist 绝不会索取您的 Instagram 密码、双重验证码或会话 Cookie（sessionid）。所有抓取操作均在 Datablist 的专用云服务器上运行，因此您的个人或企业 Instagram 主页不会被连接，也不会被标记或封禁。"},{"question":"我可以抓取超过 100,000 位粉丝吗？","answer":"可以。Datablist 能够抓取超过 100,000 位粉丝，并支持每个集合最多包含 2,000,000 条记录的数据集。由于提取操作完全在 Datablist 的专用云端基础设施上运行，因此大型粉丝列表可以持续处理，不会因浏览器内存崩溃或速率限制而中断。"},{"question":"抓取 Instagram 粉丝是否合法？","answer":"合法。在主要司法管辖区，抓取公开主页中可公开访问的数据是合法的。Datablist 只提取任何未登录访客都能看到的数据，不会绕过私密主页限制。"},{"question":"会提取哪些数据？我可以查找 email 地址吗？","answer":"这款免费工具会返回用户 ID、用户名、全名、主页 URL、账号隐私状态和认证状态。未知的隐私或认证值将保持未指定状态。提取后，您可以让抓取到的用户名依次通过 Datablist 的瀑布式 Email 和电话查找工具，在 15+ 家数据提供商中查找经过验证的联系信息。"},{"question":"使用 Datablist 抓取 Instagram 粉丝需要多少钱？","answer":"抓取粉丝的费用为每位粉丝 0.01 credits（每个 credit 可抓取 100 位粉丝）。注册免费的 Datablist 账号即可获得 500 个免费 credits（足以抓取 50,000 位粉丝）。付费套餐 $25/月起，包含 5,000 个 credits（可抓取 500,000 位粉丝），且 credits 永不过期。"}]}},"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 粉丝","DESCRIPTION":"Instagram 主页 URL、用户名或 @用户名","PLACEHOLDERS":["https://www.instagram.com/nike/ 或 @nike"],"ROW_LABEL":"Instagram 主页","REMOVE_ROW":"移除主页","ADD_ROW":"添加主页","ROW_LIMIT":"每次可处理一个主页并抓取最多 100 位粉丝。","EMPTY":"输入 Instagram 主页即可开始","READY_ONE":"1 个主页已就绪","READY_MANY":"{count} 个主页已就绪","FIND_ONE":"抓取粉丝","FIND_MANY":"抓取粉丝","SAMPLE_BUTTON":"查看示例结果","SAMPLE_NOTICE":"包含虚构粉丝的演示示例。此预览在您的浏览器中运行，不消耗 credits。","REJECTED_ONE":"无法使用此主页，请检查格式。","REJECTED_MANY":"无法使用 {count} 个输入，请检查其格式。","OVERFLOW":"您粘贴了 {count} 个主页。这款免费工具一次只能处理一个。","PROCESS_ALL":"在 Datablist 中抓取全部 {count} 个主页","NO_MATCH":"未返回此主页的任何粉丝。","COPY_ROW":"复制 {name} 的主页 URL","START_OVER":"重新开始","COPY_ALL":"复制 CSV","DOWNLOAD_CSV":"下载 CSV","COPY_ERROR":"复制失败。请重试或下载 CSV。","PRIVACY":"您的输入和结果会在此浏览器中保留 24 小时。为了完成和支持此次运行，Datablist 会将任务数据保留更长时间。","UNAVAILABLE":"这款免费工具暂时不可用。您仍可使用 Datablist 应用。","QUOTA_REACHED":"您已用完这款免费工具的每日配额。请在 {hours} 小时 {minutes} 分钟后回来，或前往 Datablist 继续操作。","QUOTA_RUN_TOO_LARGE":"此次抓取超出您今天的剩余配额。请在 {hours} 小时 {minutes} 分钟后回来。","QUOTA_REMAINING":"今天剩余 {remaining}/{limit} credits","QUOTA_REDUCE":"今天剩余 {remaining} credits。请等待每日配额重置。","QUOTA_WAIT":"今日配额已用完。请在 {hours} 小时 {minutes} 分钟后回来。","CHALLENGE_REQUIRED":"请先完成验证，再抓取粉丝。","RUN_FAILED":"抓取未能完成。下方已显示所有可用的粉丝数据。","SUBMISSION_UNKNOWN":"我们正在检查您的抓取任务是否已启动。请重新加载以查看状态；请勿重复提交。","RETRY_STATUS":"目前无法检查抓取状态。请重新加载此页面后重试。","EXPIRED":"这些结果已无法在此浏览器中查看。","BANNER":"在 Datablist 中抓取更大的粉丝列表并丰富数据。注册即获 500 个免费 credits，无需信用卡。","BANNER_CTA":"获取 500 个免费 credits","RESULT_CTA":"在 Datablist 中抓取更大的粉丝列表。","RESULT_CTA_BUTTON":"打开 Datablist","HISTORY_TITLE":"您最近的抓取任务","HISTORY_DESCRIPTION":"您可以在 24 小时内通过此浏览器打开或移除抓取任务。在此处移除任务不会停止抓取或退还 credits。","HISTORY_REMOVE":"从此浏览器中移除 {name}","HISTORY_COMPLETE":"已完成","HISTORY_FAILED":"需要处理","HISTORY_ATTENTION":"正在检查状态","HISTORY_RUNNING":"进行中","DEBUG_NOTICE":"来自 Beta 版操作的调试结果。这些是测试数据。","LABEL":"Instagram 主页 URL、用户名或 @用户名","PLACEHOLDER":"https://www.instagram.com/cristiano/ 或 @nike","SCRAPE":"抓取粉丝","SCRAPING":"正在抓取","SAFETY":"无需 Instagram 登录信息、Cookie 或密码。我们绝不会连接您的账号。","SAMPLES":"或试用示例：","ERRORS":{"EMPTY":{"REASON":"请输入 Instagram 主页 URL、用户名或 @用户名。"},"USERNAME":{"REASON":"请输入有效的 Instagram 用户名。"},"TOO_LONG":{"REASON":"Instagram 用户名不能超过 30 个字符。"},"CHARACTERS":{"REASON":"用户名包含无效字符。","HINT":"Instagram 用户名只能包含字母、数字、句点和下划线。"},"RESERVED_HANDLE":{"REASON":"“{value}”是 Instagram 系统页面，并非用户主页。"},"BAD_URL":{"REASON":"这似乎不是有效的 URL 或用户名。","HINT":"请输入 Instagram 主页链接（例如 https://www.instagram.com/cristiano/）或 @用户名（@cristiano）。"},"WRONG_SITE":{"REASON":"这是 {value} 的链接，并非 Instagram 链接。","HINT":"请提供 Instagram 主页链接（例如 instagram.com/username）或 @用户名。"},"HOMEPAGE":{"REASON":"这是 Instagram 首页，并非具体主页。","HINT":"请粘贴末尾带用户名的主页 URL，例如 instagram.com/nike/。"},"POST":{"REASON":"这是单条 Instagram 帖子或 Reels 短视频的链接，并非主页。","HINT":"如需抓取粉丝，请打开作者的主页并复制该 URL。"},"STORY":{"REASON":"这是 Instagram Story 链接。","HINT":"Story 是临时内容，没有公开的粉丝列表。请粘贴创作者的主页 URL。"},"EXPLORE":{"REASON":"这是 Instagram 标签或探索页面，并非主页。","HINT":"请输入创作者、品牌或网红的主页 URL，以抓取其粉丝。"},"SYSTEM_PAGE":{"REASON":"该链接指向 Instagram 系统页面，并非用户主页。"},"PROFILE_USERNAME":{"REASON":"此 URL 中的主页用户名无效。","HINT":"请检查 URL 是否符合 https://www.instagram.com/username/ 格式。"}},"SCRAPE_ERROR":"抓取未完成。请稍后重试。","RESULTS":"以下是 @{handle} 的前 {count} 位粉丝，免费提供。","USER":"用户","USER_ID":"用户 ID","ACCOUNT_PRIVACY":"隐私状态","PROFILE":"主页","ID":"ID：{id}","VERIFIED":"已认证","PRIVATE":"私密","PUBLIC":"公开","VIEW":"查看","COPIED":"已复制","COPY":"复制","DOWNLOAD":"下载 CSV","SCRAPE_FULL":"抓取完整列表","RESULT_NOTE":"免费预览会显示 {count} 位粉丝，但不包含联系方式。如需批量抓取最多 2,000,000 位粉丝，并通过 email 和电话查找工具进行瀑布式查询，请使用 Datablist 的","SOURCE_LABEL":"Instagram 粉丝抓取工具","CSV_HEADER":"用户 ID,用户名,全名,已认证,私密,主页 URL,关注对象","YES":"是","NO":"否","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"免费 LinkedIn 个人资料抓取工具 | Datablist","META_SOCIAL_TITLE":"免费 LinkedIn 个人资料抓取工具","META_DESCRIPTION":"无需连接您的 LinkedIn 账户，即可查询 LinkedIn 个人资料。获取可用的身份、工作经历和教育数据。每日有使用额度限制。","SCHEMA_NAME":"Datablist 免费 LinkedIn 个人资料抓取工具","BREADCRUMB_CURRENT":"LinkedIn 个人资料抓取工具","HERO":{"TITLE":"免费 LinkedIn 个人资料抓取工具","DESCRIPTION":"粘贴 LinkedIn 或 Sales Navigator 个人页面 URL，即可获取可用的个人资料、工作及教育详情。无需 LinkedIn 登录信息或会话 Cookie。"},"SAFETY":{"TITLE":"无需连接您的 LinkedIn 账户","ITEMS":[{"safe":true,"label":"Datablist","body":"只需提供个人资料 URL。处理过程在 Datablist 基础设施上运行，无需您的 LinkedIn 登录信息、会话 Cookie 或浏览器扩展程序。"},{"safe":false,"label":"Chrome 扩展程序","body":"Evaboot、Skrapp 及类似浏览器工具会在您已登录的浏览器会话中自动执行点击和页面浏览操作。LinkedIn 会检测并限制使用客户端自动化工具的账户。"},{"safe":false,"label":"基于 Cookie 的云端工具","body":"Phantombuster 和云端 Actor 要求您复制并粘贴敏感的 li_at 会话 Cookie。将有效会话交给第三方共享服务器，会使您的账户面临被检测和封禁的风险。"}]},"SOCIAL":{"TITLE":"深受初创企业和大型企业信赖","STATS":[{"value":"35,000+","label":"家公司正在使用 Datablist"},{"value":"20M+","label":"每月完成数据丰富的行数"},{"value":"60+","label":"lead 生成工具"}],"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":"使用方式","STEPS":[{"step":1,"title":"复制任意 LinkedIn 个人资料 URL","body":"在 LinkedIn 或 Sales Navigator 中打开您想抓取的个人资料，然后从浏览器地址栏复制链接。支持标准个人资料 URL（linkedin.com/in/...）和 Sales Navigator lead URL。"},{"step":2,"title":"在此处粘贴 URL","body":"将 URL 粘贴到上方输入框。处理前，我们会自动移除追踪参数（如 trk 和 lipi）。全程无需登录信息、密码、Chrome 扩展程序或会话 Cookie。"},{"step":3,"title":"获取结构化个人资料详情","body":"数据提取在 Datablist 的专用基础设施上运行，与您的个人 LinkedIn 账户完全隔离。您将获得整洁的结构化数据，包括姓名、Headline、个人简介、当前雇主的公司特征、过往工作经历和教育背景。"}],"CTA":{"TITLE":"免费批量抓取 20 份个人资料","BODY":"免费 Datablist 账户初始包含 500 credits。上传 CSV，几分钟内即可丰富完整名单。","LABEL":"创建免费账户"}},"DATA":{"TITLE":"可从每份 LinkedIn 个人资料中获取哪些数据","ITEMS":[{"icon":"UserCheck","title":"身份与所在地","description":"用于准确识别潜在客户和细分受众的核心个人数据。","fields":["名字","姓氏","全名","Headline","关于 / 简介","城市、州/省和国家","国家代码（ISO-2）"]},{"icon":"Database","title":"当前职位与公司特征","description":"通过详细的雇主数据评估 ICP 匹配度，并支持精准的 outbound 消息。","fields":["职位名称","公司名称","公司 LinkedIn URL","公司网站","行业","员工人数范围","任职开始日期与时长","职位描述"]},{"icon":"BriefcaseIcon","title":"职业与工作经历","description":"最多可获取两个过往职位的详情。","fields":["两个过往职位名称","过往公司名称","任职时长与日期","职位描述与工作成就"]},{"icon":"Layers","title":"教育背景与语言","description":"可用的教育和语言详情。","fields":["大学 / 学校名称","所获学位","专业领域","毕业日期","掌握的语言"]}]},"USE_CASES":{"TITLE":"使用场景","ITEMS":[{"title":"冷 email 与消息个性化","body":"抓取潜在客户的工作经历、近期职业变动和个人简介，打造高度个性化且能引起共鸣、促进转化的冷 outreach。","ctaLabel":"Lead 名单构建指南","ctaHref":"/how-to/lead-list-building-guide"},{"title":"候选人搜寻与招聘","body":"将候选人的完整资料（包括可用的过往雇主和教育详情）直接提取到结构清晰的人才数据库中。","ctaLabel":"LinkedIn 详情抓取指南","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"查找已验证的工作 email","body":"使用 Datablist 覆盖 20+ 家数据提供商的瀑布式 email 数据丰富功能，将抓取到的姓名和公司网站转换为经过验证的工作 email 地址。","ctaLabel":"规模化查找 Email","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"刷新 CRM 联系人与账户数据","body":"让 Salesforce 或 HubSpot 中的联系人数据保持最新。无需手动录入，即可自动检测工作变动、最新晋升和更新后的公司特征。","ctaLabel":"CRM 数据丰富指南","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"LinkedIn 个人资料抓取工具对比","INTRO":"大多数 LinkedIn 抓取工具要么自动操作您的有效会话，要么按难以预测的执行时长收费。Datablist 在自有云基础设施上独立运行，并采用透明的按个人资料计费方式。","HEADERS":["工具","LinkedIn 账户","所需内容","价格","每份资料成本","批量 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会连接我的 LinkedIn 账户或使用会话 Cookie 吗？","answer":"不会。Datablist 从不连接您的 LinkedIn 账户，也绝不会要求您提供密码或会话 Cookie（li_at）。所有抓取任务都完全在我们的专用云基础设施上运行，并使用公开的个人资料数据，彻底消除账户受限或被封禁的风险。"},{"question":"我能为抓取到的个人资料查找经过验证的工作 email 吗？","answer":"可以。在 Datablist 中，您可以通过覆盖 20+ 家数据提供商的 Waterfall Email Finder，逐级使用抓取到的姓名和公司域名来查找并验证 email 地址，并且只需为确认匹配的结果支付 credits。"},{"question":"每份 LinkedIn 个人资料会提取哪些数据？","answer":"该工具会返回可用的身份信息、Headline、简介、所在地、语言、联系人数量、当前职位、最多两个过往职位以及第一条教育经历。缺失字段将保持为空。不包含技能、图片和 URN。"},{"question":"我可以批量抓取 LinkedIn 个人资料并使用 Sales Navigator URL 吗？","answer":"可以。Datablist 支持标准 LinkedIn 个人资料 URL 和 Sales Navigator lead URL。您可以上传包含数千个链接的 CSV 来批量抓取个人资料，速度约为 3 分钟处理 1,000 份资料。"},{"question":"使用 Datablist 抓取个人资料需要多少费用？","answer":"每份个人资料的抓取成本为 25 credits（缓存数据为 20 credits）。每个免费账户注册时均可获得 500 个免费 credits（足够抓取 20 份完整资料）。付费套餐起价为每月 $25，包含 5,000 credits，且 credits 永不过期。"},{"question":"此工具可以返回缓存的个人资料数据吗？","answer":"可以。此免费工具支持缓存的个人资料。数据可能不完整或已过时。如有可用数据，工具将返回一个当前职位、最多两个过往职位和一条教育经历；不会返回技能、个人头像或 LinkedIn URN。每次运行会从您每个会话和 IP 每日 25 credits 的额度中预留 25 credits。"}]}},"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. 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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":"您的个人资料","DESCRIPTION":"输入一个 LinkedIn 个人资料 URL 或 Sales Navigator lead URL","PLACEHOLDERS":["https://www.linkedin.com/in/username 或 https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"LinkedIn 个人资料 URL","REMOVE_ROW":"移除第 {number} 行","ADD_ROW":"添加一行","ROW_LIMIT":"每次可处理一份 LinkedIn 个人资料。","EMPTY":"粘贴 LinkedIn 个人资料 URL 即可开始","READY_ONE":"可以查询此个人资料","READY_MANY":"可以查询此个人资料","FIND_ONE":"抓取个人资料","FIND_MANY":"抓取个人资料","SAMPLE_BUTTON":"查看示例结果","SAMPLE_NOTICE":"示例结果仅供说明。此预览不会消耗 credits。","REJECTED_ONE":"一个输入无法使用。请检查其格式。","REJECTED_MANY":"有 {count} 个输入无法使用。请检查其格式。","OVERFLOW":"一次只能处理一份个人资料。","PROCESS_ALL":"处理全部 {count} 项","NUMBER":"#","COMPANY_NAME":"公司名称","DOMAIN":"域名","CONFIDENCE":"置信度","STATUS":"状态","NO_MATCH":"未找到个人资料数据","COPY_ROW":"复制 {name} 的域名","START_OVER":"重新开始","COPY_ALL":"复制 CSV","DOWNLOAD_CSV":"下载 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指向“{value}”。请粘贴 LinkedIn 个人资料链接。"},"COMPANY":{"REASON":"这是公司或机构页面，不是个人资料。","HINT":"如需抓取个人信息，请粘贴格式为 linkedin.com/in/username 的个人资料 URL"},"SEARCH":{"REASON":"这是搜索结果 URL，不是个人资料 URL。","HINT":"如需抓取搜索结果，请试用我们的免费 Sales Navigator 抓取工具。使用此工具时，请点击某份个人资料并粘贴其个人链接。"},"POST":{"REASON":"这是 LinkedIn 动态帖子或文章，不是个人资料。","HINT":"请点击作者姓名查看其个人资料，然后复制并粘贴个人资料 URL。"},"PATH":{"REASON":"无法识别 LinkedIn 个人资料路径。","HINT":"请粘贴符合 linkedin.com/in/username 格式的个人资料链接或 Sales Navigator lead URL。"}},"VERIFIED_PROFILE":"已验证的个人资料","SCRAPED_CLEAN":"个人资料数据","ENRICHMENT_LABEL":"LinkedIn 个人资料抓取工具","RESULT_NOTE_SUFFIX":"批量数据丰富功能。","DEBUG_NOTICE":"来自 beta 操作的调试结果。这些是测试数据，并非对所提交人员的查询结果。","CHANGED":"已更改","UNCHANGED":"未更改","CSV_HEADER_LINE":"全名|名字|姓氏|Headline|职位名称|公司名称|公司网站|公司 LinkedIn URL|行业|员工人数范围|城市|州/省|国家|国家代码|标准化个人资料 URL|简介|过往经历 1 职位|过往经历 1 公司|过往经历 1 日期|过往经历 2 职位|过往经历 2 公司|过往经历 2 日期|教育经历学校|教育经历学位|语言|主要技能"}},"UseCaseAiScraping":{"PAGE_TITLE":"无需代码的 AI Web Scraping","PAGE_DESC":"用一个简单的 prompt（提示词）即可抓取成千上万的网站。Datablist 的 AI 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与你一同扩展。可设置周期性抓取，让你的数据自动保持新鲜与同步更新。","BENEFITS_PRECISE_TITLE":"精确且结构化的输出","BENEFITS_PRECISE_BODY":"以干净、有序的格式获取所需数据。AI Agent 将结构化结果直接写入电子表格，随时用于分析或导出。","SEE_ALSO":"另请参阅","VIDEO_TITLE":"观看 AI Scraping 实际演示","VIDEO_TEXT":"观看如何用一个简单的 prompt（提示词）在一分钟内构建自定义的 lead scoring 模型。无需公式，无繁琐设置。"},"UseCaseDataCleaning":{"PAGE_TITLE":"数据清洗，自动化。","PAGE_DESC":"Datablist 提供强大且易上手的工具集，用于去重、标准化与丰富你的数据，把混乱变为清晰。","USE_CASE":"应用场景","HERO_TITLE":"数据清洗，自动化。","VIDEO_TITLE":"No.1 无代码（No-Code）数据清洗工具","VIDEO_TEXT":"几次点击即可提取、转换并清洗数据。无限制，彻底告别公式。","HERO_DESC":"别再与凌乱的电子表格和臃肿的 CRM 纠缠。Datablist 提供强大且易用的工具集，用于去重、标准化与丰富你的数据，把混乱变为清晰。","MASTER_TITLE":"从杂乱数据到可执行洞察","MASTER_BODY":"不准确的数据会消耗时间和成本。无论来源于多个 leads 渠道、web scraping 的网页内容，还是不同团队的录入，混乱数据都会导致营销活动失败与糟糕决策。Datablist 是你的数据中枢，可在规模化场景清洗、合并并标准化你的列表，确保数据始终可靠、随时可用。","DEDUPE_CRM_TITLE":"智能去重你的 CRM 与列表","DEDUPE_CRM_CONTENT_1":"你的 CRM 是权威数据源，但重复记录会让它不可靠。“John Smith”“Jon Smith”，“Example Inc.” 与 “Example LLC” 这样的差异会制造混淆。Datablist 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生成自定义脚本。无需写代码即可处理复杂清洗任务。","GRID_ENRICH_TITLE":"丰富并补全数据","GRID_ENRICH_BODY":"通过补充缺失数据来完善记录。查找公司域名、验证 email，并获取档案信息。","GRID_CONSOLIDATE_TITLE":"合并字段值","GRID_CONSOLIDATE_BODY":"合并重复记录中的冲突数据。将多个电话号码或备注整合为一条干净记录，且不丢失信息。","LEARN_MORE":"了解更多","SEE_ALSO":"相关内容"},"UseCaseInventoryManagement":{"PAGE_TITLE":"自动化您的电商库存管理","PAGE_DESC":"别再把时间浪费在手工更新上。使用我们强大的 no-code 平台，自动获取、清洗、翻译并同步供应商目录到所有销售渠道。","USE_CASE":"使用场景","HERO_TITLE":"自动化您的电商库存管理","HERO_DESC":"别再把时间浪费在手工更新上。使用我们强大的 no-code 平台，自动获取、清洗、翻译并同步供应商目录到所有销售渠道。","INTRO_TITLE":"从杂乱目录到完美商品列表","INTRO_BODY":"管理来自多个供应商的产品数据往往是一场格式不一致、重复条目与无尽手工修正的噩梦。Datablist 将这种混乱转化为精简的自动化 workflow，确保您的库存始终准确、最新，并完美适配任意电商平台。","VIDEO_TITLE":"观看 AI 编辑实操","VIDEO_TEXT":"只需一个简单的 prompt 即可更新目录中的单位。无需公式，无需折腾。","FETCH_TITLE":"自动获取供应商目录","FETCH_CONTENT_1":"告别手动下载和杂乱的 email 附件。配置自动导入器，从任何来源（URL、FTP 服务器或 API）获取目录文件。按天、按周或按月定时更新，确保数据始终新鲜。","FETCH_CONTENT_2":"我们的智能 web scraping 工具可直接从供应商网站提取产品数据，让最新信息源源不断地自动流入，无需人工干预。","TRANSFORM_TITLE":"用 AI 转换并标准化数据","TRANSFORM_CONTENT_1":"供应商数据很少能直接用于您的店铺。使用我们的 no-code 清洗工具套件，标准化品类、去除品牌名中的法律后缀（如 Inc., Ltd. 等）、格式化价格，并合并重复项。","TRANSFORM_CONTENT_2":"通过 AI 驱动的转换更进一步：自动生成有吸引力的产品描述，为国际市场翻译内容，并确保每条上架信息都为转化优化。","SYNC_TITLE":"同步到任意电商平台或 Marketplace","SYNC_CONTENT_1":"当数据完成清洗与标准化后，将其推送到所有销售渠道。Datablist 可无缝为任意目的地准备目录，包括 Shopify、WooCommerce、Amazon 等。","SYNC_CONTENT_2":"我们的系统为每次同步提供清晰的状态更新，并对失败尝试自动重试。以一个可靠的单一真实数据源管理整个多渠道运营。","BENEFITS_TITLE":"自动化库存 workflow 的力量","BENEFITS_SCALE_TITLE":"轻松处理海量目录","BENEFITS_SCALE_BODY":"轻松管理数十万、甚至数百万商品条目。我们的平台为高性能与可扩展性而构建。","BENEFITS_FLEXIBLE_TITLE":"灵活、易于配置","BENEFITS_FLEXIBLE_BODY":"我们直观的 no-code 界面让你在几分钟而非数周内搭建复杂的数据转换 workflow，无需开发人员参与。","BENEFITS_RELIABLE_TITLE":"可靠且全自动","BENEFITS_RELIABLE_BODY":"一次配置 workflow，持续自动运行。借助清晰的状态跟踪与可重试的同步，你可以放心数据始终在该在的位置。","BENEFITS_COST_TITLE":"高性价比的强大能力","BENEFITS_COST_BODY":"采用按点数计费（credit-based）的方式，按用量付费。以传统方案一小部分成本，获得企业级自动化。","TRANSLATE_TITLE":"为全球市场翻译产品目录","TRANSLATE_CONTENT_1":"借助 Datablist 的 AI 自动翻译产品目录，拓展电商业务至国际市场。不止于直译，通过本地化产品名称以匹配当地客户的真实搜索习惯。","TRANSLATE_CONTENT_2":"我们的 AI 会保留描述与规格中的关键 HTML 和 JSON 结构，避免在回传到 Shopify、WooCommerce 等平台时出现技术错误。这个强大的 no-code 方案，帮助你以远低于传统工具的成本实现全球化扩张。","TRANSLATE_CTA":"如何翻译产品目录","FILTER_TITLE":"无论规模大小，深入筛选任何目录","FILTER_CONTENT_1":"别再为库存规模拖垮表格工具而苦恼。Datablist 可处理高达 150 万条目的超大产品目录，能力远超 Airtable 或 Google Sheets 等工具的限制。","FILTER_CONTENT_2":"借助强大的筛选工具，快速精准定位所需。通过 AND/OR 逻辑与筛选分组实现高级查询，远不止简单搜索。追求极致精度时，可使用正则表达式（Regular Expressions），按 SKU、标题或描述中的特定模式查找产品。","FILTER_CONTENT_3":"不必重复劳动。你可以将任意复杂筛选保存为自定义 \"Segment\"，便于后续快速调用。这些已保存的筛选非常适合创建“新品”或“促销”等动态列表，并会自动与团队共享，确保大家基于同一视图协作。","SEE_ALSO":"相关内容"},"UseCaseLeadBuilding":{"PAGE_TITLE":"面向增长团队的 leads 构建","PAGE_DESC":"深入挖掘海量 leads 列表的最佳工具。组织、富化并找到理想的目标客户。","HERO_TITLE":"面向增长团队的 leads 列表构建","USE_CASE":"使用场景","HERO_DESC":"深入挖掘海量 leads 列表的最佳工具。组织、富化并找到理想的目标客户。","MASTER_TITLE":"管理海量 leads","MASTER_BODY":"Datablist 专为管理数百万条数据而设计。定义你的 Lead 数据结构，在这个开放且对技术友好的平台上尽情操作你的数据。通过类表格界面组织你的 leads，或使用我们的 API 构建复杂数据平台。从高容量的 leads 列表中，发现值得联系的高质量 leads。","CRM_TITLE":"在你的 Sales CRM 上游构建 leads 列表","CRM_CONTENT_1":"CRM 工具非常适合跟踪已互动的潜在客户（engaged prospects），但并不适用于管理几十万条 leads。你的增长团队需要一个上游的数据存储来整合和管理海量 leads。","CRM_CONTENT_2":"把冷 leads 存进 CRM 会污染系统，还可能带来高昂账单。","DATABASE_TITLE":"别再把 leads 存在自建数据库里","DATABASE_CONTENT_1":"你是否把 leads 存在自建数据库、Excel、Airtable 或数据仓库中？选择其中任意一种都意味着取舍：要么灵活性优先于可扩展性，要么复杂性压倒简洁性。","DATABASE_CONTENT_2":"Datablist 兼具自建数据库的能力与 Airtable 的灵活性，让你在不妥协的前提下节省时间与成本。","NOCODE_TITLE":"易用且对技术友好的工具","NOCODE_CONTENT_1":"用类表格界面管理你的 leads。强大的筛选与搜索可在数秒内浏览数十万条 leads。","NOCODE_CONTENT_2":"在 Datablist 中，CSV 是一等公民。导入大型 CSV，并用唯一标识符进行关联，快速生成你的 leads 列表。数据始终归你所有。一键将 leads 导出为 CSV，与其他工具配合使用。","NOCODE_CONTENT_3":"想更进一步？通过与开放 API 连接的无服务器（serverless）函数来自动化你的数据流。","CENTRALIZE_TITLE":"将所有 lead 来源集中到一个数据存储中","CENTRALIZE_SCRAPING_TITLE":"你的 web scraping 目的地","CENTRALIZE_SCRAPING_CONTENT_1":"从外部来源提取数据并存入你的数据存储。","CENTRALIZE_SCRAPING_CONTENT_2":"从社交网络（LinkedIn、Facebook、Xing）、商业目录（Crunchbase、AngelList）、在线社区等渠道进行 web scraping，获取 leads。","CENTRALIZE_NEWSLETTER_TITLE":"Newsletter 订阅者","CENTRALIZE_NEWSLETTER_CONTENT_1":"跟踪并富化你的邮件列表订阅者数据，发掘高价值潜客。","CENTRALIZE_NEWSLETTER_CONTENT_2":"利用邮件列表的 webhooks 获取使用数据，识别已互动的 leads。","CENTRALIZE_SIGNUP_TITLE":"富化你的新用户数据","CENTRALIZE_SIGNUP_CONTENT_1":"识别使用一次性或企业 email 地址的用户。自动富化新用户，找到其 LinkedIn 个人资料，并与高潜力用户互动。","CENTRALIZE_SIGNUP_CONTENT_2":"连接你的产品使用数据，搭建客户数据平台（CDP）。","CENTRALIZE_MAGNET_TITLE":"存储 Lead Magnet 下载","CENTRALIZE_MAGNET_CONTENT_1":"将白皮书下载、网络研讨会（webinar）及线下活动获得的新 leads 统一存入一个列表。","CENTRALIZE_MAGNET_CONTENT_2":"可手动富化，或使用我们集成的 Enrichment API 自动补全，识别商机。","ENRICH_TITLE":"清洗并富化你的 leads","ENRICH_COMPANIES_TITLE":"富化公司与个人资料","ENRICH_COMPANIES_BODY":"通过集成的富化服务获取完整的资料信息。可由 email 地址反查 LinkedIn 账号，或由 leads 的姓名反查 email 地址。可从任意服务进行规模化富化，或接入你自有的服务。","CLEAN_TITLE":"清洗你的数据","CLEAN_BODY":"借助 Datablist 的读写型数据存储保持数据新鲜。使用我们的数据清洗功能批量清理 leads。校验 email 地址，识别一次性邮箱提供商，并将其从你的营销活动中排除。","DEDUPLICATE_TITLE":"去重你的 leads","DEDUPLICATE_BODY":"使用 Datablist Duplicates Finder 一键移除重复的 leads。选择一个或多个字段即可自动去重。借助 Datablist Merge Assistant 合并冲突数据。","MERGE_TITLE":"为每条 lead 创建唯一档案","MERGE_BODY":"基于 lead 的 email 地址或公司官网定义唯一性，为每条 lead 创建唯一档案。用这些唯一属性更新你的 lead 数据，或整合外部列表。","SEE_ALSO":"相关内容","DATA_SOURCES":"数据与 leads 来源","DATA_SOURCES_DESCRIPTION":"用我们强大的内置 lead 来源加速你的 pipeline！","AI_RESEARCH_AGENT":"AI Research Agent","AI_RESEARCH_AGENT_DESCRIPTION":"用一个简单的 prompt，即可对你的条目进行规模化研究，或设置自动化 Google 搜索。","ENRICHMENTS":"富化","ENRICHMENTS_DESCRIPTION":"用我们易用的富化功能打造强大的 workflow"},"IndustryRecruiting":{"PAGE_TITLE":"更智能的招聘，从这里开始","PAGE_DESC":"面向招聘机构的必备无代码平台。可抓取职位信息、丰富公司数据，并找到招聘负责人/用人经理的直接联系方式。","HERO_TITLE":"更智能的招聘，从这里开始","INDUSTRY_LABEL":"行业","HERO_DESC":"面向招聘机构的必备无代码平台。可抓取职位信息、丰富公司数据，并找到招聘负责人/用人经理的直接联系方式。","WHY_DATABLIST_TITLE":"别再苦搜，开始促成入职","WHY_DATABLIST_BODY":"人工寻源（sourcing）缓慢、重复且结果不稳定。Datablist 自动化处理获取新客户与候选人最繁琐的环节，让你专注于真正擅长的工作：建立关系并促成入职/成单。","FIND_JOBS_TITLE":"挖掘每一个招聘机会","FIND_JOBS_CONTENT_1":"不错过任何 leads（线索）。使用我们的 AI Scraper，从 LinkedIn、Indeed 等任意招聘网站，或你的目标公司列表中的招聘页面，批量提取职位发布。","FIND_JOBS_CONTENT_2":"轻松构建与你关键词与专业领域匹配的实时在招职位数据库，为你持续带来高质量的客户 leads。","FIND_CONTACTS_TITLE":"直达真正的决策者","FIND_CONTACTS_CONTENT_1":"职位发布只是开始。Datablist 通过数据丰富（enrichment）完善公司画像，找出头衔背后的人。识别目标公司中的部门负责人、团队 lead、用人/招聘经理。","FIND_CONTACTS_CONTENT_2":"按职位、部门或职级对名单进行细分，确保你的 outreach 始终触达拥有用人决策权的人。","GET_DETAILS_TITLE":"即时直连，直达对方","GET_DETAILS_CONTENT_1":"别再为查找联系方式浪费时间。我们强大的 waterfall enrichment（瀑布式数据丰富）可为你的目标联系人找到经过验证的专业 email 地址与电话号码。","GET_DETAILS_CONTENT_2":"凭借更高的成功率与高性价比的点数（credit）计费模型，你可以比以往更快、更经济地构建可执行的联系人名单。","BENEFITS_TITLE":"为你的机构带来不对称优势","EASY_USE_TITLE":"几分钟即可上线","EASY_USE_BODY":"借助直观、类表格的界面即刻上手。无需技术背景即可搭建强大的寻源 workflow。","FLEXIBLE_TITLE":"你的 workflow，你来定义","FLEXIBLE_BODY":"从抓取目标到数据丰富序列，每一步都可自定义。Datablist 适配你的独特寻源策略，而不是让你去迁就工具。","COST_EFFECTIVE_TITLE":"按需付费的强大能力","COST_EFFECTIVE_BODY":"我们的点数（credit）体系意味着只为实际使用付费。无论是独立招聘顾问还是大型团队，各类机构都适用。","ALL_IN_ONE_TITLE":"一处搞定一切","ALL_IN_ONE_BODY":"从抓取与清洗，到丰富与导出，一站式完成。无需来回切换多个工具，就能管理你面向客户与候选人的全数据流程。","SEE_ALSO":"另请参阅","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"用一个简单的 prompt，就能从任意网站提取结构化数据。非常适用于招聘网站、公司页面等场景。","ENRICHMENTS":"数据丰富","ENRICHMENTS_DESCRIPTION":"使用我们易用的公司与联系人数据丰富，打造强大的 workflow。","FAQ_Q1":"Datablist 如何发现职位空缺？","FAQ_A1":"我们的 Job Postings Scraper 可扫描 19+ 个主流招聘网站（含 Indeed、Glassdoor）。你也可以使用 AI Agent 自动抓取特定公司的招聘页面或垂直/小众招聘板块，持续获得新的客户机会。","FAQ_Q2":"如何找到用人/招聘经理的联系方式？","FAQ_A2":"当你有了一份公司清单后，我们的 Waterfall People Search enrichment 将定位这些组织中的合适联系人。你可以按职位、职级或部门搜索，精准找到决策者。","FAQ_Q3":"联系方式是否准确并已验证？","FAQ_A3":"是的。我们的 Waterfall Email Finder 与 Phone Finder 会查询多个数据提供方，找到已验证的专业 email 地址与直拨电话号码。多源策略相比单一供应商工具能显著提升成功率。","FAQ_Q4":"使用你们的抓取工具会危及我的 LinkedIn 账号吗？","FAQ_A4":"不会。与浏览器扩展不同，我们的抓取在云端运行，不需要你的个人 LinkedIn 凭据，可让你的账号 100% 远离限制或封禁风险。","FAQ_Q5":"价格如何？","FAQ_A5":"Datablist 采用灵活的按需付费点数（credit）体系。你只为获得的数据付费。举例来说，充值 20 美元的点数就足以抓取数千条职位发布。此模式适用于任意规模的机构，让你无需大额前期投入即可扩展寻源。","FAQ_Q6":"我能按特定行业或地区定向职位吗？","FAQ_A6":"可以。我们的职位抓取包含高级筛选器，可按关键词、行业、公司规模、地区与职级进行定向。你甚至可以排除招聘机构，仅聚焦直聘企业。","FAQ_Q7":"我的候选人名单很混乱，Datablist 能帮我清洗吗？","FAQ_A7":"当然可以。Datablist 内置强大的数据清洗与去重工具。你可以轻松合并来自不同来源的重复联系人、规范职位名称，并在无需复杂公式的情况下完成数据格式化。","FAQ_Q8":"我能把寻源流程自动化吗？","FAQ_A8":"可以。你可以将职位抓取设置为按日、按周或按月运行。Datablist 会自动发现符合你条件的新职位发布，持续为你提供新鲜的 leads。"},"IndustryVentureCapital":{"PAGE_TITLE":"现代 VC 的操作系统","PAGE_DESC":"借助 AI 驱动的数据平台，发现、筛选并跟踪成千上万家初创公司。告别杂乱的电子表格和僵硬的 CRM。用 Datablist 搭建你的 deal flow（项目流）引擎。","INDUSTRY_LABEL":"行业","HERO_TITLE":"现代 VC 的操作系统","HERO_DESC":"借助 AI 驱动的数据平台，发现、筛选并跟踪成千上万家初创公司。告别杂乱的电子表格和僵硬的 CRM。用 Datablist 搭建你的 deal flow（项目流）引擎。","WHY_DATABLIST_TITLE":"你的 CRM 并非为风投打造","WHY_DATABLIST_BODY":"CRM 是为销售 pipeline 设计的，不是为 deal flow（项目流）设计的。它们僵硬、昂贵，且难以跟踪你雷达上的成千上万家早期公司。Datablist 是一个灵活、可扩展的数据枢纽，专为应对风投的独特数据挑战而设计。","SOURCE_DEALS_TITLE":"在人人皆知之前先行获取项目","SOURCE_DEALS_CONTENT_1":"超越你的人脉和 inbound 请求。使用我们的 AI Scraper，从 ProductHunt、IndieHackers 及其他细分目录中挖掘潜力初创公司。","SOURCE_DEALS_CONTENT_2":"通过率先识别高潜公司，并在其进入主流之前跟踪新兴趋势，抢占先机。","TRACK_COMPANIES_TITLE":"跟踪增长信号，而不只是融资轮次","TRACK_COMPANIES_CONTENT_1":"融资是滞后性的成功指标。跟踪真正重要的实时增长信号。我们的招聘平台爬虫会识别哪些初创正在为关键岗位招聘——这清晰地表明了产品市场匹配（PMF）与规模化。","TRACK_COMPANIES_CONTENT_2":"监控招聘趋势以评估公司的发展轨迹，并据此做出数据驱动的投资决策。","SCORE_STARTUPS_TITLE":"用 AI 构建自定义评分模型","SCORE_STARTUPS_CONTENT_1":"别只凭直觉。使用我们的 AI Editing 工具构建强大的自定义评分算法。根据团队经验、技术 stack、市场信号以及你的专属标准对初创公司进行排序。","SCORE_STARTUPS_CONTENT_2":"系统化识别并将团队精力聚焦在 pipeline 中排名前 1% 的机会。","DILIGENCE_TITLE":"尽调与跟踪所需的一切工具","FEATURE_DATA_TITLE":"数据整合","FEATURE_DATA_BODY":"从多来源清洗、去重并合并数据到一个主清单，保持你的初创数据库干净可靠。","FEATURE_ENRICH_TITLE":"公司数据富化","FEATURE_ENRICH_BODY":"自动为公司画像补充 firmographics、技术 stack（技术栈）、网站数据等信息，获得 360 度全景视图。","FEATURE_CONTACTS_TITLE":"创始人 Outreach","FEATURE_CONTACTS_BODY":"借助我们的 Waterfall Enrichment（瀑布式富化），为创始人及关键高管找到已验证的 email 与电话，让你的首次触达更见成效。","FEATURE_API_TITLE":"API 与集成","FEATURE_API_BODY":"将 Datablist 连接到你的内部工具，并通过我们灵活、对开发者友好的 API 自动化整套数据 workflow。","SEE_ALSO":"相关内容","VIDEO_TITLE":"观看 AI Agent 实战","VIDEO_TEXT":"看看 AI Agent 如何访问一组初创公司网站，并提取结构化联系信息——这是传统爬虫难以完成的任务。","FAQ_Q1":"Datablist 与传统 CRM 有何不同？","FAQ_A1":"CRM 是为线性的销售流程（sales pipeline）而设计的，在跟踪成千上万笔潜在交易时会迅速变得臃肿。Datablist 是为风投 deal flow 的规模与复杂性打造的灵活数据枢纽，让你无需受制于销售 pipeline 的刚性，也能管理海量初创数据。","FAQ_Q2":"Datablist 能帮助我们挖掘新的初创公司吗？","FAQ_A2":"可以。你可以使用我们的 AI Agent 去爬取 ProductHunt、IndieHackers 等初创目录，在它们进入所有人雷达之前发现有潜力的公司，提前捕捉高潜 deal。","FAQ_Q3":"我们可以跟踪哪些增长信号？","FAQ_A3":"除了依赖融资公告，你还能跟踪实时增长指标。我们的招聘板爬虫会发现哪些初创正在为关键岗位积极招人，这是增长与产品市场匹配的强烈信号。","FAQ_Q4":"AI 评分模型如何工作？","FAQ_A4":"你可以用我们的 AI 工具构建自定义评分模型。由你来定义与你投资论点相关的标准——如团队经验、技术 stack 或市场趋势——AI 会生成脚本为 pipeline 中的每家初创打分排序，帮助你聚焦最优机会。","FAQ_Q5":"我们的数据又乱又分散在多个表格里。你们如何帮助？","FAQ_A5":"Datablist 在数据整合方面表现出色。你可以从多个来源导入数据，然后使用我们的工具进行清洗、去重与合并，将一切汇总到一个可靠的初创主清单中。","FAQ_Q6":"Datablist 如何处理成千上万家公司？会不会很慢？","FAQ_A6":"Datablist 天生面向大数据集管理，每个列表可处理高达 150 万条记录，远超电子表格或 Airtable 等工具的限制。你可以快速筛选、排序并管理成千上万家公司，而不会遇到性能问题。","FAQ_Q7":"你们能帮我们找到创始人的联系信息吗？","FAQ_A7":"可以。一旦你锁定了潜力初创，我们的 Waterfall Enrichment 工具即可为创始人和关键团队成员找到已验证的 email 地址与电话号码，让你的首次 outreach 更有效。","FAQ_Q8":"使用 Datablist 需要开发人员吗？","FAQ_A8":"不需要。Datablist 是一款 no-code 平台，拥有友好的电子表格界面。无需写代码，你就能从 sourcing 到 scoring 构建复杂的数据 workflows。"},"IndustryRetailAndECommerce":{"PAGE_TITLE":"简化您的零售与电商运营","PAGE_DESC":"轻松管理产品目录、供应商 Feed（数据源）和客户数据。Datablist 是面向零售与电商企业的灵活零代码（no-code）平台。","HERO_TITLE":"简化您的零售与电商运营","INDUSTRY":"行业","HERO_DESC":"轻松管理产品目录、供应商 Feed（数据源）和客户数据。Datablist 是面向零售与电商企业的灵活零代码（no-code）平台。","MASTER_TITLE":"您的电商数据中枢","MASTER_BODY":"告别多份电子表格与复杂数据库来回切换。Datablist 提供一个简单易用的平台，集中管理您的全部电商数据。我们的灵活零代码（no-code）界面与基于积分（credits）的定价，让各规模企业都具备出色的成本效益。","PRODUCT_CATALOG_TITLE":"整合并清洗您的产品目录","PRODUCT_CATALOG_CONTENT_1":"从任意来源导入产品数据，并整合为一个干净、统一的目录。我们强大的数据清洗工具可帮助您标准化单位、价格，甚至清理描述中的 HTML。","PRODUCT_CATALOG_CONTENT_2":"借助 Datablist，您可轻松管理成千上万的产品，确保数据始终准确、最新。","SUPPLIER_FEEDS_TITLE":"自动化您的供应商 Feed","SUPPLIER_FEEDS_CONTENT_1":"自动获取供应商的价格与库存 Feed，使库存保持同步。Datablist 可连接外部 API，轻松与供应商系统集成。","SUPPLIER_FEEDS_CONTENT_2":"通过自动化这一关键环节，节省时间并减少错误。","FEATURES_TITLE":"成功所需的一切","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"整合产品目录","CONSOLIDATE_PRODUCT_CATALOG_BODY":"将来自多个供应商与来源的产品数据合并为一个主目录。","CLEAN_DATA_TITLE":"清洗您的数据","CLEAN_DATA_BODY":"对产品信息进行标准化与清洗，包括单位、价格与 HTML，呈现一致且专业的体验。","TRANSLATE_PRODUCT_TITLE":"翻译产品信息","TRANSLATE_PRODUCT_BODY":"轻松翻译产品标题与描述，触达全球受众。","GENERATE_PRODUCT_TEXT_TITLE":"使用 AI 生成产品文案","GENERATE_PRODUCT_TEXT_BODY":"使用 AI 生成有吸引力的产品描述与其他文案，节省时间与精力。","SYNC_TO_EXTERNAL_APIS_TITLE":"同步至外部 API","SYNC_TO_EXTERNAL_APIS_BODY":"通过将数据同步到外部 API，与您的其他工具与系统集成。","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"获取供应商 Feed","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"通过获取供应商的最新价格与库存 Feed，自动更新产品信息。","AGGREGATE_ORDER_FEEDS_TITLE":"汇总订单 Feed","AGGREGATE_ORDER_FEEDS_BODY":"聚合所有渠道的订单 Feed，获得完整的销售视图。","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"管理客户与受众列表","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"保持客户与受众列表干净有序，更高效地开展营销活动。","FAQ_Q1":"我的产品数据很混乱，来自多家供应商且格式各不相同。Datablist 如何帮助？","FAQ_A1":"Datablist 正是为此而生。您可以将多份 CSV 或 Excel 文件中的产品数据导入到一个主目录。我们的 Duplicates Finder（重复项查找）会帮助您合并重复的产品条目，并且还能自动汇总如库存数量等数值字段。","FAQ_Q2":"Datablist 能在不破坏 HTML 或 JSON 格式的情况下翻译产品描述吗？","FAQ_A2":"可以。我们的 AI 驱动翻译器（使用如 ChatGPT 等模型）可处理复杂内容。您可以提供自定义指令，确保只翻译文本，同时保留所有 HTML 标签与 JSON 结构，非常适合电商目录。","FAQ_Q3":"我们的产品目录很大，电子表格经常崩溃。Datablist 能处理多少产品？","FAQ_A3":"电子表格难以应对大型数据集，而 Datablist 天生为规模而建。您可以轻松管理每个集合多达 150 万条记录的产品目录，远超 Airtable 或 Google 表格等工具的限制。","FAQ_Q4":"如何从 Shopify 或 WooCommerce 等平台导入我的目录？","FAQ_A4":"Shopify 与 WooCommerce 等电商平台支持将产品目录导出为 CSV 文件。您可将该 CSV 直接导入 Datablist，开始对数据进行清洗、富化或翻译。","FAQ_Q5":"我可以自动从供应商处获取价格与库存更新吗？","FAQ_A5":"可以。如果您的供应商通过 API 提供数据，您可以使用我们的“Import from a remote CSV or JSON file”（从远程 CSV 或 JSON 文件导入）数据源，自动获取并更新产品信息。这样无需人工操作即可保持库存与定价同步。","FAQ_Q6":"Datablist 是否适合同时管理多个客户目录的电商代理机构？","FAQ_A6":"完全适合。您可以为每位客户的产品目录创建独立集合，并按文件夹进行组织，便于管理。这让它成为您所有数据清洗与管理工作的集中高效中枢。","FAQ_Q7":"如何清理不一致的产品数据，比如价格或描述中的 HTML？","FAQ_A7":"Datablist 提供多种适用于产品目录的数据清洗工具。您可以将带 HTML 标签的文本转换为干净的纯文本，规范化使用不同分隔符的数字，去除多余空格，并统一文本大小写，确保数据一致。","FAQ_Q8":"AI 能帮助我撰写独特的产品描述吗？","FAQ_A8":"可以。您可以使用我们的“Ask ChatGPT”富化，基于产品特征生成有吸引力的产品描述。这既省时，又能规模化产出独特内容。"},"IndustrySaaSAI":{"PAGE_TITLE":"SaaS & AI 初创公司的 GTM 副驾驶","PAGE_DESC":"别再在杂乱的电子表格和昂贵的工具之间疲于奔命。Datablist 是您的一体化平台，用于获取、清洗并丰富 leads，让您专注于促成成交。","HERO_TITLE":"SaaS & AI 初创公司的 GTM 副驾驶","INDUSTRY_LABEL":"行业","HERO_DESC":"别再在杂乱的电子表格和昂贵的工具之间疲于奔命。Datablist 是您的一体化平台，用于获取、清洗并丰富 leads，让您专注于促成成交。","MASTER_TITLE":"更快打造您的销售引擎","MASTER_BODY":"作为初创公司，速度就是一切。您需要源源不断且合格的 leads，但搭建销售管道很耗时。Datablist 将从寻找潜在客户到个性化 outreach 的全流程进行简化，全部在一个易用的零代码平台上完成。","PROBLEM_TITLE":"问题在于 Lead Gen（获客），而不是您的产品","PROBLEM_CONTENT_1":"您在做 web scraping、购买名单、从 CRM 导出数据，但最终一团糟。电子表格崩溃、数据过时，团队把大量时间花在手动录入而不是销售上。","PROBLEM_CONTENT_2":"自建数据库消耗大量资源，而为不同工具付多份订阅费用很快就会变得昂贵。这种低效正在让您丢单。","SOLUTION_TITLE":"一个平台即可构建、清洗与丰富","SOLUTION_CONTENT_1":"Datablist 兼具数据库的能力与电子表格的简洁易用。它是一款为高速成长初创公司的 GTM 团队打造的灵活零代码工具。","SOLUTION_CONTENT_2":"整合所有 lead 来源，清理脏数据，用最新信息丰富联系人，并在无需写任何代码的情况下自动化您的 workflows。这是可灵活扩展、具成本优势的方案，助您规模化增长。","FEATURES_TITLE":"驱动增长所需的一切","GRID_SOURCE_TITLE":"获取高意向 leads","GRID_SOURCE_BODY":"不再局限于静态数据库。使用我们的 Job Board Scraper（职位板抓取器）发现正在招聘的公司——这清晰地表明他们有预算且有待解决的问题。每天获取新鲜 leads。","GRID_SCRAPE_TITLE":"AI 驱动的 scraping","GRID_SCRAPE_BODY":"构建竞争对手买不到的独特 lead 列表。我们的 AI Agent 可抓取任何网站，寻找细分数据、客户案例，或一家企业正在使用的特定技术。","GRID_PERSONALIZE_TITLE":"规模化个性化 outreach","GRID_PERSONALIZE_BODY":"别再群发千篇一律的 emails。使用 AI Agent 为每位潜在客户收集独特洞察。找到能体现您做过功课的谈资，从而获得更多回复。","GRID_DEDUPE_TITLE":"去重并合并","GRID_DEDUPE_BODY":"使用我们强大的 Duplicates Finder（重复项查找器）清理您的 lead 和客户名单。跨多来源合并重复记录且不丢失有价值的数据，确保唯一可信数据源。","GRID_CLEAN_TITLE":"清洗与丰富您的 CRM","GRID_CLEAN_BODY":"保持 CRM 数据准确、最新。验证 emails，规范公司名称，并使用来自 LinkedIn 等提供方的最新数据来丰富记录，以提升营销活动表现。","GRID_AUTOMATE_TITLE":"自动化您的 workflows","GRID_AUTOMATE_BODY":"设置周期任务，持续获得新的、已丰富的 leads。安排 scrapers（抓取器）和 enrichments 每天或每周运行，让您的销售团队始终拥有充足的销售管道。","WORKFLOW_TITLE":"经过验证的高质量 leads Workflow","WORKFLOW_STEP1_TITLE":"1. 获取有购买意向的公司","WORKFLOW_STEP1_CONTENT_1":"首先找到有明确需求的公司。使用我们的 Job Postings Scraper（招聘信息抓取器）识别正在为与您产品/服务相关岗位积极招聘的企业。","WORKFLOW_STEP1_CONTENT_2":"这是他们拥有预算且有紧迫问题待解决的强力信号。","WORKFLOW_STEP2_TITLE":"2. 找到决策者与联系方式","WORKFLOW_STEP2_CONTENT_1":"锁定目标账号后，使用我们的 Waterfall People Search（瀑布式人员搜索）在这些公司中找到合适的联系人——例如 Head of Sales 或 Marketing Director。","WORKFLOW_STEP2_CONTENT_2":"随后使用我们的 email finder 和 phone finder 获取已验证的联系信息。","WORKFLOW_STEP3_TITLE":"3. 为个性化收集情报","WORKFLOW_STEP3_CONTENT_1":"这是您获取不对称优势的关键。使用 AI Agent 调研每位潜在客户。让它查找其最新博客、案例研究，甚至他们在用的 SaaS 工具。","WORKFLOW_STEP3_CONTENT_2":"您将获得独特洞察，以撰写与众不同且更易获得回复的 outreach 信息。","WORKFLOW_STEP4_TITLE":"4. 清洗并定稿您的名单","WORKFLOW_STEP4_CONTENT_1":"在启动 outreach 前，用我们的 Duplicates Finder 处理最终名单。它会合并任何重复的联系人或公司，确保列表干净有序。","WORKFLOW_STEP4_CONTENT_2":"现在，您的名单已可同步到销售 CRM 或 email sequencer（邮件序列工具）。","SEE_ALSO":"相关内容","FAQ_Q1":"Datablist 与 ZoomInfo 或 Apollo 等标准 B2B 数据库有何不同？","FAQ_A1":"B2B 数据库提供的是静态、预先收集的数据；而 Datablist 让您能够从实时来源构建新鲜且专有的 lead 列表。您可以使用我们的 Job Scrapers（职位抓取器）发现具有活跃招聘意向的公司——这是强有力的购买信号。我们的 AI Agent 还可以执行定制的 web scraping，收集任何数据库都没有的细分数据，为您带来独特的竞争优势。","FAQ_Q2":"我的初创公司需要快速获取高质量 leads。Datablist 能如何帮助？","FAQ_A2":"Datablist 为速度而生。先使用我们的 Job Postings Scraper 聚合来自 19+ 个招聘网站的数据，寻找有即时需求的公司。随后利用我们的 Waterfall enrichment 工具，快速找到决策者及其已验证的联系方式。整个 workflow 从筛选账号到得到可直接用于 outreach 的名单，都可在几分钟内完成。","FAQ_Q3":"使用 Datablist 需要开发人员或技术能力吗？","FAQ_A3":"不需要。Datablist 是零代码平台，结合了友好的电子表格界面、强大的 AI 与自动化工具。您可以通过自然语言 prompt 与点选式界面完成诸如 web scraping、数据清洗与 enrichment 等复杂任务。它为 GTM 团队而建，而非为开发者。","FAQ_Q4":"Datablist 如何帮助我的销售团队实现 email 个性化？","FAQ_A4":"千篇一律的 outreach 无效。Datablist 的 AI Agent 就是您销售团队的研究助理。您可以让它访问每位潜在客户的网站，找到独特谈资，例如最新案例研究、其使用的特定技术或公司新闻。这样，您就能在规模化的同时打造高度个性化的信息，大幅提升回复率。","FAQ_Q5":"我们的 lead 名单来源杂乱且重复很多。Datablist 如何进行清洗与去重？","FAQ_A5":"Datablist 擅长数据卫生管理。我们的 Duplicates Finder 采用包括 fuzzy matching（模糊匹配）在内的高级算法，可在多文件间识别相似记录，即便名称或细节略有差异。随后您可以自动合并重复项、在不丢失数据的情况下整合冲突信息（如多个电话号码），并标准化字段，最终形成单一、干净的唯一可信数据源。","FAQ_Q6":"我能否自动化获客以持续获得潜在客户？","FAQ_A6":"可以。Datablist 为自动化而生。您可以将数据源（如 Job Postings Scraper）设定为每日或每周运行，确保团队始终拥有最新的高意向公司清单可供触达，从而以极少的人工投入构建持续、可预测的销售管道。","FAQ_Q7":"定价模式对初创公司是否友好且具性价比？","FAQ_A7":"当然。Datablist 的 enrichment 采用按点数计费的 credit-based 体系，您只为实际使用付费——非常适合需要精打细算的初创公司。诸如 Free Email Validator 等功能不限量；我们的付费方案也比同时订阅多款独立的 scraping、清洗与 enrichment 工具更加实惠。","FAQ_Q8":"Datablist 如何与我们现有的 CRM 与销售工具集成？","FAQ_A8":"Datablist 旨在融入您现有的 workflow。我们提供与 Pipedrive 的直接集成，实现无缝数据同步。对于 HubSpot 或 Salesforce 等其他 CRM，您可以轻松将清洗和富集后的列表导出为 CSV 或 Excel 快速导入。您也可以通过 Zapier 将 Datablist 连接到成千上万的应用。"},"Alternatives":{"HERO_DESC":"Datablist 是一款 Leads 管理工具，也是 {toolName} 的优秀替代方案。Datablist 非常适合用于构建自定义的 lead generation（获客）workflows。对比 Datablist 与 {toolName}，看看哪款工具更契合您的需求。","WHAT_IS_TITLE":"什么是 {toolName}？","WHAT_IS_DESC":"{toolName} 是一款帮助销售团队开展 outreach 活动的 SaaS 工具。它集成了多种数据富化（data enrichment）服务，并借助 AI 自动撰写个性化的 outreach 文案。随后，{toolName} 可与 CRM 和 outreach 工具连接以发送活动。","COMPARISON_TITLE":"Datablist 在哪些方面更出色？","COMPARISON_CONTENT_1":"Datablist 和 {toolName} 都用于管理 lead 列表的工具。","COMPARISON_CONTENT_2":"Datablist 专注于数据清洗、lead 去重，以及通过我们的 REST API 构建自定义 workflows。Datablist 速度快，可轻松管理数十万条 leads。","COMPARISON_CONTENT_3":"Clay 专注于 leads sourcing 和瀑布式富化（waterfall enrichments）。","COMPARISON_CONTENT_4":"如果您希望打造集中式的 leads 数据库，结合高级去重与强大的数据清洗以确保数据质量，Datablist 将是理想选择。","BENEFITS_TITLE":"为什么团队正在从 {toolName} 迁移到 Datablist？","COST_EFFECTIVE_TITLE":"Datablist 是 {toolName} 更实惠的替代方案","COST_EFFECTIVE_DESC":"Clay 的免费计划受限。Clay 的入门方案为 $149/月，仅含 2000 credits（额度）。Datablist 提供更低的月订阅价格和更实惠的 credit 套餐。您在 web scraping（网页抓取）、清洗与富化 leads 的用量越多，使用 Datablist 节省的成本就越可观。","CLEANING_TITLE":"高级清洗与去重工具","CLEANING_DESC":"Datablist 提供先进的数据清洗工具。从数据类型转换到数据规范化，Datablist 在大规模数据清洗方面远胜电子表格工具。Lead 去重是 Datablist 的原生功能。通过模糊匹配与高级重复合并，可避免对同一个 lead 进行重复富化。","API_TITLE":"通过 API 扩展","API_DESC":"Datablist 的数据存储可通过 API 完整访问。使用我们的 RESTful API 创建 collections（集合）、properties（属性）与 items（条目）。在用 Make.com 或 Zapier？通过 API 将它们连接到 Datablist，搭建强大的 outreach workflows。","SCALE_TITLE":"处理更大规模的列表","SCALE_DESC":"Datablist 在云端同步场景支持最多 100,000 条记录，在数据操作、转换与清洗场景可处理高达 2,000,000 条记录。无惧性能瓶颈，轻松扩展您的 lead 管理。","SUPERIOR_TITLE":"Datablist：更优的 Lead Generation 替代方案","SUPERIOR_INTRO":"在 Datablist，我们深知用户在使用 Clay 等其他 lead generation 工具时面临的挑战。因此，我们设计的平台既易用又高速，并能灵活融入您现有的 workflows。直观的界面让上手与配置更顺畅、学习成本更低，帮助您快速开始生成 leads，毫无负担。","ACCURATE_DATA_TITLE":"准确且可靠的数据","ACCURATE_DATA_DESC":"我们以数据准确性为先，确保您获得最新且正确的联系信息。这意味着更有效的 outreach 活动与更高的转化率。告别其他平台常见的不一致和过时数据问题。","AFFORDABLE_PRICING_TITLE":"实惠的定价","AFFORDABLE_PRICING_DESC":"Datablist 提供具竞争力且透明的定价，适用于各类规模的企业。我们的高性价比模式确保您物有所值，不会出现意外开支。与其他工具不同，您无需担心成本迅速叠加。","RESPONSIVE_SUPPORT_TITLE":"响应迅速的客户支持","RESPONSIVE_SUPPORT_DESC":"我们的专属支持团队随时待命，快速高效地解决您遇到的任何问题。我们以快速响应与专家级支持为荣，助您专注于最重要的事情——发展业务。","SUPERIOR_CONCLUSION":"选择 Datablist，体验无缝、可靠且实惠的 lead generation。","SEE_ALSO":"另请参阅","ENRICHMENTS":"数据富化","ENRICHMENTS_DESC":"探索我们的数据富化服务，用公司信息、联系方式等内容增强您的 lead 数据。","DATA_SOURCES":"数据源","DATA_SOURCES_DESC":"探索所有可用数据源，从各类平台与网站导入并进行 web scraping（网页抓取）。","API_DOCS":"API 文档","API_DOCS_DESC":"通过我们全面的 REST API，了解如何将 Datablist 集成到您现有的 workflows。","LEAD_BUILDING":"Lead 列表构建","LEAD_BUILDING_DESC":"借助我们的完整指南与工具，掌握构建高质量 lead 列表的最佳实践。"},"AIPrompts":{"metadata":{"title":"AI Prompts","description":"使用我们的 AI prompts 提升 lead generation、enrichment 和数据清洗。这些 prompts 帮你找到高质量的 leads，并保持数据准确。使用 AI 识别潜在客户、更新 lead 信息。非常适合希望通过 AI 驱动工具优化 lead 管理、实现规模化的企业。"},"breadcrumb":{"home":"首页","aiPrompts":"AI Prompts"},"header":{"category":"助力业务增长的 AI 工具","title":"用于 Lead Generation、Enrichment 与数据清洗的顶级 AI Prompts","description":"自动化 lead 寻找、enrichment 和数据清洗。这些 AI prompts 可扩展你的 GTM workflows。"},"enrichment":{"title":"AI Agent Prompts (Enrichment)","description":"使用这些 prompts 为你的现有条目做 enrichment。在当前记录上运行这些 AI prompts，以查找缺失细节、进行调研，或对每一行的信息进行分析。"},"dataSource":{"title":"Source AI Agent Prompts (Data Source)","description":"这些 prompts 会创建新的条目。使用它们进行 web scraping，从网站提取结构化信息，查找符合特定条件的联系人，或用 AI 从零构建目标列表。你可以以一个 URL、一段指令，或来自另一 collection 的输入作为起点，生成全新数据。"},"cta":"查看 Prompt","detail":{"metadataTitle":"用于 {title} 的 ChatGPT prompt","metadataNotFound":"未找到 AI Prompt","pageTitle":"用于 {title} 的 ChatGPT prompt","pageTitleDataSource":"AI Agent prompt：{title}","breadcrumbHome":"首页","breadcrumbEnrichments":"Enrichments 商店","breadcrumbAIPrompts":"AI Prompts","copiedText":"Prompt 已复制","copyText":"复制 prompt 到剪贴板","relatedPrompts":"相关 Prompts"},"enrichmentContent":{"howToTitle":"如何在 CSV 文件上使用此 prompt？","howToIntro":"**Datablist 允许你拿整个 CSV 文件并在每一行上直接运行 prompts。**","howToTemplates":"好消息是，你需要的 prompt 已在 Datablist 的 \"Templates\" 区域就绪。无需从零开始！只需选择符合任务的 template，即可在你的 CSV 每一行上运行。用几次点击就能轻松改造你的数据。","openDatablist":"打开 Datablist","noSignup":"无需注册","step1":"在 Datablist 中导入你的 CSV 文件。然后从顶部导航选择 \"Enrich\"。","step2":"选择模板：**{title}**","step2Image":"选择模板","step3":"使用 \"/\" 或 '{{' 将 prompt 中的变量替换为你 collection 的属性。","step3Image":"使用你的 collection 属性定义变量","step4":"如果缺少某些变量，直接编辑 prompt 即可。","step5":"**就这么简单！** 现在你可以在 CSV 文件的每一行上运行该 prompt，并在新列中获得结果。 🚀","costTitle":"费用是多少？","costIntro":"你有两种选择，且都非常简单。","option1Title":"选项 1 – 使用你自己的 OpenAI API key。","option1Desc1":"我们这边完全免费。只需接入你的 key，Datablist 会通过你的账号发送请求。你直接向 OpenAI 支付，按其用量计费。没有中间商，无额外费用。","option1Desc2":"使用你的 API key，以 1,000 个条目为例，你可能向 OpenAI 支付约 **$2**。","option1Desc3":"非常适合已经有 OpenAI key 或希望完全掌控成本的用户。\n**加分项：** 没有来自我们的速率限制！","option2Title":"选项 2 – 使用 Datablist Credits。","option2Desc1":"没有 API key？没问题。你可以使用 Datablist 内置的 ChatGPT 账号。我们替你处理 API 相关事项，你只需使用 Datablist credits 结算。","option2List1":"API key 设置 – 跳过","option2List2":"ChatGPT 限频 – 规避","option2List3":"账号限制 – 无需操心","option2Desc2":"即插即用。","tldr":"TL;DR","tldrKey":"**Use your key** = 更便宜","tldrCredits":"**Use Datablist credits** = 更省事","tldrEnd":"无论哪种方式，你都可掌控。","aiAgentTitle":"关于 AI Agent prompts 的说明","aiAgentDesc1":"此 prompt 适用于 Datablist [AI Agent](/enrichments/ai-agent) enrichment。**AI Agent 是一种使用人工智能（AI）为你执行任务的智能工具。它可以浏览网站、用 Google 查找信息，并与不同的在线服务交互。** 这意味着它可以使用实时数据，为你提供最新答案。","aiAgentDesc2":"相比之下，ChatGPT API 只能分析输入文本，并基于其既有知识作答。它无法自行访问互联网或收集新信息。","aiAgentDesc3":"AI Agent 通过引入实时数据提供更动态的体验，而 ChatGPT API 则依赖既有知识来响应查询。","aiAgentDesc4":"**当你直接在 [https://chatgpt.com/](https://chatgpt.com/) 上交互时，你是在与一个 Agent 交互。有时它会联网为你的 prompt 提供额外信息（但不经常）。然而，其他连接到 ChatGPT 的工具使用的是 API。因此请记住，此 prompt 不能用于调用 ChatGPT API 的其他工具中。**","aiAgentDesc5":"Datablist [AI Agent](/enrichments/ai-agent) 会在你的 CSV 每一行上运行一个 agent。"},"aiScraperContent":{"howToTitle":"如何使用此 AI Prompt","step1Title":"**创建一个新的 Collection**：首先在 Datablist 中创建一个新的空 collection 用于存储数据。点击侧边栏中的“+ Create new collection”。","step1ImageAlt":"AI web scraping > 常规 web scraping","step2Title":"**选择 AI Agent Source**：点击 \"See all sources\"，或前往 \"Import\" -> \"Import From Data Sources\"。选择 \"AI Agent - Site Scraper\"。","step2ImageAlt":"选择 AI Agent - Site Scraper","step3Title":"**配置数据源**：","step3Item1":"**Select Template**：在 \"Template\" 下拉菜单中找到并选择该 prompt。上面的 prompt 会被自动加载。","step3Item2":"**URL to Scrape**：输入要抓取的 URL","step3Item3":"**Enable Pagination (Optional)**：如果结果跨多页，勾选 ***Enable Pagination***，并设置合理的 ***Max Pages*** 上限（例如 10）。","step3Item4":"**Customize (Optional)**：你可以调整 AI 模型（例如 GPT-4o mini 通常性价比更高）、根据特定需求编辑 prompt，或修改期望的 ***Outputs***。","step3ImageAlt":"AI web scraping > 常规 web scraping","step4Title":"**Review Outputs**：点击 ***Continue***。Datablist 会显示在 prompt 中定义的输出字段（Project Name, Client Company Name）。点击每个字段旁的 ***+*** 图标，在你的 collection 中创建相应的属性（列）。","step4ImageAlt":"Outputs","step5Title":"**Run Import**：点击 ***Run import now***。AI Agent 将根据 prompt 开始抓取网站，并填充到你的 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我是一位充满好奇心的创业者。

我喜欢人、科技和竞争；有时也会有点过头，对我自己未必是好事。

既然我未能如愿去纽约，每周五下午你常常会在法兰克福的某个地方看到我和陌生人聊天。

目前在 Datablist 负责所有与增长相关的工作。

","FLORIAN_DESCRIPTION":"

Datablist 的创始人兼 CEO。

内心是一名工程师。我喜欢构建、解决问题，并每天学习。

常驻法国。

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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Yellow Pages Extractor","description":"Extract business details from Yellow Pages including phone number, website URL, business name, and physical address.","imageAlt":"Yellow Pages Extractor"},{"title":"Business Number Extractor","description":"Visit a company website and extract their phone number with the source location.","imageAlt":"Business Number Extractor"},{"title":"Company Name to Website","description":"Search on Google for websites matching a company domain. Then visit the first results to find the one matching.","imageAlt":"Company Name to Website"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"How to scrape Google results from multiple queries at once","imageAlt":"How to scrape Google results from multiple queries at once"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Google Maps Connector with complementary data tools in Datablist.","cards":[{"title":"Location Lookup","description":"Get the city, country and coordinates of a location.","imageAlt":"Location Lookup"},{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company Enrichment"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about queries, results, coverage and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Google Maps Connector","description":"Run Datablist's Google Maps Connector on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Google Places Query","RichText","Search query for Google Places. Type a slash and choose a property to insert row values, for example the company name and the city. Google Places does not support searching by exact street address."],["Target Country","Text","Country to target for the Google Places search. Defaults to US if not set."],["Language","Text","Language of the Google Places results. Defaults to English if not set."],["Number of Results","Text","Number of places returned per search, from 1 to 5."]]},{"title":"Outputs","rows":[["Place Name","Text","Name of place #1."],["Place Address","Text","Address of place #1."],["Place Rating","Number","Rating of place #1."],["Place Rating Count","Number","Number of ratings of place #1."],["Place Category","Text","Category of place #1."],["Place Phone","Phone","Phone number of place #1."],["Place Website","Url","Website of place #1."],["Place Latitude","Number","Latitude of place #1."],["Place Longitude","Number","Longitude of place #1."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"How to scrape Google results from multiple queries at once","imageAlt":"How to scrape Google results from multiple queries at once"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]}},"corner":{"title":"Try it for Free","body":"Find business details on Google Maps for every row. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Google Maps Connector"},"EnrichmentLocationLookup":{"metadata":{"title":"Location Lookup - Get City, Country and Coordinates From Addresses in Bulk | Datablist","description":"Turn addresses and location text in a CSV or Excel file into city, country, country code, latitude and longitude, in bulk. 0.05 credits per location."},"tabs":["Overview","How to use"],"hero":{"title":"Location Lookup","description":"Turn addresses, cities and country names into a clean city, country, country code and coordinates. 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A location can be a full address, a city with or without its country, a country, or a country flag emoji.","cards":[{"title":"What you give","items":["Location: An address, a city, a country or a flag emoji","Messy Formats: Free text with a location inside works","No Settings: Map the column and run it"],"links":["See full input reference"]},{"title":"What you get","items":["City and Country: The city and the country, when available","Country Code: The ISO 3166-1 alpha-2 code, for example gb","Latitude and Longitude: Coordinates for maps and distance filters"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.05 Credits per Location: 10,000 locations cost 500 credits","500 Free Credits at Signup: Enough to look up 10,000 locations","Billed per Row Processed: Each location costs the same"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Location. Output: City, Country, Country Code, Latitude and Longitude.","groups":["Your data","Added by Location Lookup"],"headers":["Location","City","Country","Country Code","Latitude","Longitude"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many locations you want to look up and we'll show you the cheapest way to run them.","unitsLabel":"Locations 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. Location Lookup costs 0.05 credits per location, so 10,000 locations cost 500 credits and 100,000 locations 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 location column and get structured place data back in new columns.","steps":[{"label":"Step 1","title":"Import your locations","body":"Upload a CSV or Excel file with addresses, cities or countries. LinkedIn locations, CRM address fields and form answers all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Look up each location","body":"Datablist reads each value, finds the city and country it refers to and returns the ISO country code and coordinates when available. Flag emojis and country names work as well as full addresses."},{"label":"Step 3","title":"Filter and segment by place","body":"Use the new City, Country and Country Code columns to split lists by market, route leads by region or plot them on a map. Latitude and longitude are number columns you can export to a map. Values like Greater Toronto Area are read too."}]},"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":"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"},{"title":"Normalize Postal Addresses","description":"Standardize postal addresses effectively, the prompt ensures that addresses are formatted consistently.","imageAlt":"Normalize Postal Addresses"}]},"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 extract the City and Country from a list of addresses","imageAlt":"How to extract the City and Country from a list of addresses"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Location Lookup with complementary data tools in Datablist.","cards":[{"title":"Google Places/Maps Search","description":"Find businesses on Google Maps for every row.","imageAlt":"Google Places/Maps Search"},{"title":"Entity Name Extraction","description":"Extract names from free text.","imageAlt":"Entity Name Extraction"},{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company 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, 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 formats, accuracy, coverage and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Location Lookup","description":"Run Datablist's Location Lookup 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":[["Location","RichText","Text containing a location information."]]},{"title":"Outputs","rows":[["City","Text","The name of the City, when available."],["Country","Text","The name of the Country, when available."],["Country Code","Text","Return the ISO 3166-1alpha2 country code when available. E.g. gb for the United Kingdom, de for Germany, etc."],["Latitude","Number","Latitude Coordinate."],["Longitude","Number","Longitude Coordinate."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","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 extract the City and Country from a list of addresses","imageAlt":"How to extract the City and Country from a list of addresses"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"}]}},"corner":{"title":"Try it for Free","body":"Get the city, country and coordinates of every location in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Location Lookup"},"EnrichmentWebsiteToPDF":{"metadata":{"title":"Website to PDF Tool - Generate PDF Files From a List of URLs in Bulk | Datablist","description":"Turn every URL in a CSV or Excel file into a PDF file, in bulk, with a download link per row. Portrait or landscape, extra CSS. 30 credits per URL."},"tabs":["Overview","How to use"],"hero":{"title":"Website to PDF Tool","description":"Turn every URL in your list into a PDF file and get a download link in a new column. Each conversion costs 30 credits.","primary":"Convert 16 pages free","guide":"Check Full Guide","note":"No credit card needed","trust":["30 Credits per URL","Portrait or Landscape PDFs","Convert 16 Pages Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Website to PDF Tool opens each URL in a virtual browser, prints it to a PDF file and saves the file in the cloud. You get a download link per row, valid for 7 days by default.","cards":[{"title":"What you give","items":["Source URL: One URL per row","Orientation: Optional: Portrait (default) or Landscape","Extra CSS: Optional: styles applied before printing"],"links":["See full input reference"]},{"title":"What you get","items":["PDF Download Link: One link per URL, in a new column","Link Validity: 7 days by default, or 30 days","Your Original List: Stays unchanged next to the links"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["30 Credits per URL: 100 URLs cost 3,000 credits","500 Free Credits at Signup: Enough to convert 16 pages","Billed per Successful Conversion: Failed and invalid URLs cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Source URL. Output: Result.","groups":["Your data","Added by Website to PDF Tool"],"headers":["Source URL","Result"],"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 convert and we'll show you the cheapest way to run them.","unitsLabel":"URLs to convert","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 to PDF Tool costs 30 credits per URL converted, so 100 URLs cost 3,000 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. Failed or invalid URLs cost 0 credits. The estimate assumes every URL produces a PDF.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a list of URLs and get a PDF download link for each one.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with the pages to save. Invoices, reports, articles, product pages and legal pages all work. 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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":"Write Company Summary","description":"Visit a website and generate a summary of what the company does using the metadata (title, description) and the content.","imageAlt":"Write Company Summary"},{"title":"Company Data From Website","description":"Visit a website, search for the About Page, and extract information about the company.","imageAlt":"Company Data From Website"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Website to PDF Tool with complementary data tools in Datablist.","cards":[{"title":"Bulk Scraper","description":"Scrape pages with CSS selectors and regular expressions.","imageAlt":"Bulk Scraper"},{"title":"Fetch Meta Data from URLs","description":"Pull page titles and meta tags from a list of URLs.","imageAlt":"Fetch Meta Data from URLs"},{"title":"Website Status Checker","description":"Find dead, redirected and parked websites.","imageAlt":"Website Status Checker"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about layout, links, cost and large lists.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Website to PDF Tool","description":"Run Datablist's Website to PDF Tool on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Orientation","Text","Generate PDF file in Portrait or Landscape. Default is Portrait."],["Extra CSS","LongText","Add extra CSS styles to the page before generating the PDF."],["Download Link Validity","Text","Datablist gives a download link for each PDF file. The link stays valid for a few days. The default is 7 days."]]},{"title":"Inputs","rows":[["Source URL","Url","URL to generate a PDF from"]]},{"title":"Outputs","rows":[["Result","Url","A link to download the PDF file. The link expires based on the Download Link Validity setting."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"}]}},"corner":{"title":"Try it for Free","body":"Turn a list of URLs into PDF files in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Website to PDF Tool"},"EnrichmentBulkScraper":{"metadata":{"title":"Bulk Scraper - Scrape URLs With CSS Selectors and Regular Expressions | Datablist","description":"Scrape a list of URLs from a CSV or Excel file with CSS selectors, regular expressions or JSONPath, in bulk. 0.10 credits per page, proxy option for protected pages."},"tabs":["Overview","How to use"],"hero":{"title":"Bulk Scraper","description":"Scrape the exact text you need from every URL in your list with CSS selectors or regular expressions. Each page costs 0.10 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.10 Credits per Page","Proxy for Protected Pages","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Bulk Scraper visits each URL and extracts the text that matches your CSS selectors, your regular expressions or a JSON object inside the HTML. Each selector creates its own output column, and a proxy option helps with protected pages.","cards":[{"title":"What you give","items":["Url to parse: One URL per row","CSS Selectors: One or more selectors, each with its own column name","Regex or JSONPath: Optional: extract with patterns or from JSON"],"links":["See full input reference"]},{"title":"What you get","items":["One Column per Selector: The text found for each selector","Status per Selector: success, empty_text or not_found","Run Status: Review rows that could not be scraped"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 pages cost 1,000 credits","0.50 Credits With Proxy: Only when the proxy is used","0.05 Credits When Cached: Pages fetched in the last 7 days"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Url to parse. Output: Page Heading and Status for Page Heading.","groups":["Your data","Added by Bulk Scraper"],"headers":["Url to parse","Page Heading","Status for Page Heading"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Bulk Scraper costs 0.10 credits per page with basic scraping, so 10,000 pages cost 1,000 credits. The estimate assumes basic scraping for every page: a scrape with the proxy costs 0.50 credits and a page already in the 7-day cache costs 0.05 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. Render HTML uses a proxy and costs 2 credits per fresh rendered page; it is not included in the basic-scraping estimate.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a list of URLs, describe what to extract and get it back in new columns.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with the pages to scrape. Product pages, job listings, directory entries and profile pages all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Describe what to extract","body":"Add a CSS selector for each piece of text you want, and name the column it fills. Use regular expressions or a JSON object in the HTML when selectors are not enough. Ready-made templates cover job listings, video links and alternate languages."},{"label":"Step 3","title":"Get one column per field","body":"Each selector fills its own column, with a status that tells you if the text was found. Switch on the proxy for protected pages and rerun the failed rows. Failed rows keep their status, so you can fix a selector and run them again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Scrape WTTJ Job Listings","description":"Extract job offer and company data from WelcomeToTheJungle job listing pages.","imageAlt":"Scrape WTTJ Job Listings"},{"title":"Extract Video Links","description":"Parse webpage to find video links from Youtube, Vimeo, Dailymotion, etc. and videos using HTML5 tag video.","imageAlt":"Extract Video Links"},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract the alternate languages of a page.","imageAlt":"Extract Alternate Languages"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Bulk Scraper with complementary data tools in Datablist.","cards":[{"title":"Smart Scraper","description":"Scrape page text, emails and social links in bulk.","imageAlt":"Smart Scraper"},{"title":"Fetch Meta Data from URLs","description":"Pull page titles and meta tags from a list of URLs.","imageAlt":"Fetch Meta Data from URLs"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about selectors, proxies, caching and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Bulk Scraper","description":"Run Datablist's Bulk Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Proxy for Protected Pages","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Proxy when needed","Boolean","Use a proxy to avoid protected pages, bypass rate limit, CAPTCHA, etc. Enrichment Cost is 0.50 credit per scrape with proxy. Disabled by default."],["Render HTML","Boolean","Enable Use Proxy when needed first. Render the page in a headless browser for JavaScript content. A proxy is always used and a fresh rendered scrape costs 2 credits."],["Proxy Policy","Text","Available when Use Proxy when needed is enabled and Render HTML is off. Use proxy on error (default), or always use proxy."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."],["Css Selectors","List","Matches pattern query against HTML tree. Each selector has a CSS Selector, a CSS Selector Content (InnerText by default, HTML or an attribute) and a Name for its output column."],["Extract using Regular Expressions","Boolean","Matches Regular Expressions against HTML code."],["Regular Expressions","List","The regular expressions to match, each with a name for its output column."],["Extract data from a JSON object inside the HTML code.","Boolean","Some webpages have JSON available in their HTML code. Use this setting to define the path to the JSON data, and to define the JSONPaths to extract information."],["Path to the JSON object","Text","Where the JSON object sits in the HTML code."],["JSONPath expressions","List","The JSONPath expressions to extract, each with a name for its output column."]]},{"title":"Inputs","rows":[["Url to parse","Url","The URL of the page to scrape."]]},{"title":"Outputs","rows":[["Scraped Text #X","LongText","Text found in matching CSS nodes for the selector. The column takes the name you give the selector."],["Status for each selector","Text","One of the following: success, empty_text, not_found"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]}},"corner":{"title":"Try it for Free","body":"Scrape any field from a list of URLs with CSS selectors. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Bulk Scraper"},"EnrichmentWebsiteMetaDataFetcher":{"metadata":{"title":"Website Meta Data Fetcher - Get Title, Description and Canonical From URLs | Datablist","description":"Get the meta title, description, keywords and canonical tag of every URL in a CSV or Excel file, and check if the site is online. 0.20 credits per URL."},"tabs":["Overview","How to use"],"hero":{"title":"Website Meta Data Fetcher","description":"Get the title, description, keywords and canonical tag of every URL in your list, and see which sites are online. Each URL costs 0.20 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.20 Credits per URL","Title and Meta Description","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Website Meta Data Fetcher visits each URL and returns the content of its title, description, keywords and canonical meta tags, plus whether the website is reachable. A proxy option helps with protected pages.","cards":[{"title":"What you give","items":["Website URL: One URL or domain per row","Use Proxy when needed: Optional: for protected or rate-limited pages","Disable cached data: Optional: force a fresh fetch"],"links":["See full input reference"]},{"title":"What you get","items":["Title and Description: The content of the title and description tags","Keywords and Canonical: The keywords tag and the canonical URL","Website online?: Whether the website is reachable"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.20 Credits per URL: 10,000 URLs cost 2,000 credits","0.60 Credits With Proxy: Only when the proxy is used","0.05 Credits When Cached: Pages fetched in the last 7 days"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Website URL. Output: Website Title, Website Description, Website Canonical tag and Website online?.","groups":["Your data","Added by Website Meta Data Fetcher"],"headers":["Website URL","Website Title","Website Description","Website Canonical tag","Website online?"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many URLs you want to check and we'll show you the cheapest way to run them.","unitsLabel":"URLs to check","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Website Meta Data Fetcher costs 0.20 credits per URL with basic scraping, so 10,000 URLs cost 2,000 credits. The estimate assumes basic scraping for every URL: a scrape with the proxy costs 0.60 credits and a page already in the 7-day cache costs 0.05 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a list of URLs and get their meta information back in new columns.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with website URLs or domains. Lead lists, SEO audits, directory exports and competitor lists all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Fetch each page","body":"Datablist visits each URL and reads its meta tags. Switch on the proxy for protected pages. Pages fetched in the last 7 days come from the cache at a lower cost. You only pay the proxy price on the pages that need it."},{"label":"Step 3","title":"Use the results","body":"Each row returns the title, description, keywords and canonical tag, and whether the site is online, so you can qualify leads or audit pages in bulk. Dead or unreachable sites are easy to filter with the online column."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Company Summary","description":"Visit a website and generate a summary of what the company does using the metadata (title, description) and the content.","imageAlt":"Write Company Summary"},{"title":"B2B or B2C Website","description":"Classify a website as B2B or B2C by identifying its primary audience and purpose.","imageAlt":"B2B or B2C Website"},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract the alternate languages of a page.","imageAlt":"Extract Alternate Languages"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Website Meta Data Fetcher with complementary data tools in Datablist.","cards":[{"title":"Website Status Checker","description":"Find dead, redirected and parked websites.","imageAlt":"Website Status Checker"},{"title":"Bulk Scraper","description":"Scrape pages with CSS selectors and regular expressions.","imageAlt":"Bulk Scraper"},{"title":"Identify Technologies on Websites","description":"Find the technology stack of any website.","imageAlt":"Identify Technologies on Websites"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, caching and dead websites.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Website Meta Data Fetcher","description":"Run Datablist's Website Meta Data Fetcher on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Proxy when needed","Boolean","Use a proxy to avoid protected pages, bypass rate limit, CAPTCHA, etc. Enrichment Cost is 0.60 credit per scrape with proxy. Disabled by default."],["Proxy Policy","Text","When to enable proxy? Default: Proxy enabled on scraping error."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."]]},{"title":"Inputs","rows":[["Website Url","Text","The website url to fetch meta information"]]},{"title":"Outputs","rows":[["Website Title","Text","The page title, with metadata fallback when available."],["Website Description","Text","Content of the Description Meta tag"],["Website Keywords","Text","Content of the Keywords Meta tag"],["Website Canonical tag","Text","The canonical URL of the page."],["Website online?","Boolean","Is the website currently reachable"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"}]}},"corner":{"title":"Try it for Free","body":"Get the title, description and canonical tag of every URL in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Website Meta Data Fetcher"},"EnrichmentFreeEmailValidation":{"metadata":{"title":"Free Email Validation Tool - Check Email Syntax, Disposable Domains and MX Records | Datablist","description":"Validate email addresses in a CSV or Excel file for free: syntax, disposable domains and MX records, plus business email and email provider detection."},"tabs":["Overview","How to use"],"hero":{"title":"Free Email Validation Tool","description":"Check every email address in your list for valid syntax, disposable domains and working MX records. Free on every plan.","primary":"Always free","guide":"Check Full Guide","note":"No credit card needed","trust":["Always Free","Disposable and MX Checks","Business Email Detection"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Free Email Validation Tool checks each address for valid syntax, flags disposable (temporary) email domains and looks up the domain's MX records. It also tells you if the address is a business email and which provider hosts it. It does not ping the mailbox.","cards":[{"title":"What you give","items":["Email: One email address per row","MX Check: On by default, can be switched off","Nothing Else: Map the column and run it"],"links":["See full input reference"]},{"title":"What you get","items":["Valid Email: The enabled validation checks passed","Error Status: Why an address is invalid","Business Email and Provider: Business or generic domain, and the MX provider"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Always Free: No credits used","Any Plan: Works on the free plan","Large Lists: No per-email charge; your plan’s import limits still apply"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Email. Output: Valid Email, Error status, Business Email, Domain and MX Provider.","groups":["Your data","Added by Free Email Validation Tool"],"headers":["Email","Valid Email","Error status","Business Email","Domain","MX Provider"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run on every plan","description":"Free Email Validation Tool does not use Datablist credits, so there is no cost to estimate.","planRows":[["Datablist credits","None. This enrichment is always free."],["Running in the app","Works on every plan, including the free plan."],["Running through the API or MCP","Needs the Growth plan. API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Free Email Validation Tool checks syntax, disposable domains and MX records. It does not ping the mailbox. For mailbox-level checks, use Waterfall Email Verifier, which uses credits."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of email addresses and get validation results back in new columns.","steps":[{"label":"Step 1","title":"Import your email list","body":"Upload a CSV or Excel file with email addresses. Newsletter exports, CRM contacts, event signups and scraped lists all work. There is no credit cost. Your plan’s file-import limits still apply."},{"label":"Step 2","title":"Run the free checks","body":"Datablist checks the syntax, flags disposable email domains and looks up each domain's MX records, the mail servers that accept its email. It does not ping the mailbox, so it stays fast and free."},{"label":"Step 3","title":"Clean your list","body":"Filter out invalid and disposable addresses, keep business emails for outreach, and send risky rows to a mailbox verifier if you need more certainty. Error status tells you why each invalid address failed."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Check if Still at Company","description":"Verify if a prospect is still working at their company by comparing their email domain with the company website.","imageAlt":"Check if Still at Company"},{"title":"Write Email First Line","description":"Use a person's LinkedIn description to write an email's first line.","imageAlt":"Write Email First Line"},{"title":"Clean Company Name","description":"Clean and standardize company names.","imageAlt":"Clean Company Name"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to clean an email list for free","imageAlt":"How to clean an email list for free"},{"title":"How to detect disposable domains in a list of email addresses","imageAlt":"How to detect disposable domains in a list of email addresses"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Free Email Validation Tool with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Verifier","description":"Verify mailboxes across several providers.","imageAlt":"Waterfall Email Verifier"},{"title":"Extract Name from Email Address","description":"Get a person's name from an email address.","imageAlt":"Extract Name from Email Address"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about what is checked, cost and accuracy.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Free Email Validation","description":"Run Datablist's Free Email Validation on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Disable MX-records analysis","Boolean","Disable domain DNS/MX analysis to run syntax and disposable-domain checks only. MX Provider stays empty when this setting is enabled."]]},{"title":"Inputs","rows":[["Email","Text","The email address to validate."]]},{"title":"Outputs","rows":[["Valid Email","Boolean","Checked when syntax and disposable-domain checks pass, and when the enabled DNS/MX checks pass. This does not verify mailbox existence."],["Error status","Text","The reason when the email address is invalid"],["Business Email","Boolean","Return True if the domain is not from a generic email provider (gmail, yahoo, etc.)"],["Domain","Text","Return the domain part of the email. After the @. Example: gmail.com"],["MX Provider","Text","Return the email provider. Examples: google, microsoft, ovh, etc."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to clean an email list for free","imageAlt":"How to clean an email list for free"},{"title":"How to detect disposable domains in a list of email addresses","imageAlt":"How to detect disposable domains in a list of email addresses"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]}},"corner":{"title":"Try it for Free","body":"Validate email syntax, disposable domains and MX records for free. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Free Email Validation Tool"},"EnrichmentEntityNameExtraction":{"metadata":{"title":"Entity Name Extraction - Extract People, Company and Location Names From Text | Datablist","description":"Extract person names, company names and locations from text in a CSV or Excel file, in bulk. Machine learning model trained in 10 languages. 0.05 credits per text."},"tabs":["Overview","How to use"],"hero":{"title":"Entity Name Extraction","description":"Pull person, company and location names out of free text in your spreadsheet. Each text costs 0.05 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.05 Credits per Text","Finds People and Company Names","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Entity Name Extraction reads a text column and returns the person names, company names and locations it finds. 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. Output: Person Name, Organization Name and Location.","groups":["Your data","Added by Entity Name Extraction"],"headers":["Text","Person Name","Organization Name","Location"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many texts you want to process and we'll show you the cheapest way to run them.","unitsLabel":"Texts to process","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Entity Name Extraction costs 0.05 credits per text, so 10,000 texts cost 500 credits and 100,000 texts cost 5,000 credits. 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. 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","ISO Code and Confidence Level","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Language Detection Tool reads a text column and returns the language name, the ISO 639 code and a confidence level for each row. 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. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Detect the language","body":"Datablist reads each text and returns the language name, the ISO 639 code and a confidence level. No AI prompt is needed, so large lists run fast and cheap. The confidence level shows how clear each match is."},{"label":"Step 3","title":"Filter and route your rows","body":"Use the confidence column to keep High and Medium results and review the rest. Split rows by language before translation, routing or analysis. Low-confidence rows are easy to filter for a manual check."}]},"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":"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. Each row 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 Row","Type and Carrier Detection","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Phone Number Extractor scans each row of text, finds the phone numbers in it and returns them in international format. It can also return the country, the number type and the carrier name.","cards":[{"title":"What you give","items":["Source Text: A text column, one text per row","Local Phone Countries: Optional: countries for numbers without a + code","Country per Row: Optional: a Country column that overrides the setting"],"links":["See full input reference"]},{"title":"What you get","items":["Extracted Numbers: Phone numbers in international format","Countries and Types: Optional: country name and number type for each number","Carrier Names: Optional: the carrier when the metadata has one"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.01 Credits per Row: 10,000 rows cost 100 credits","500 Free Credits at Signup: Enough to scan 50,000 rows","Billed per Row: A row with several numbers costs the same"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Source Text. Output: Extracted Numbers, Extracted Countries, Extracted Number Types and Extracted Carriers.","groups":["Your data","Added by Phone Number Extractor"],"headers":["Source Text","Extracted Numbers","Extracted Countries","Extracted Number Types","Extracted Carriers"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many rows you want to scan and we'll show you the cheapest way to run them.","unitsLabel":"Rows to scan","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Phone Number Extractor costs 0.01 credits per row, so 10,000 rows cost 100 credits and 1,000,000 rows cost 10,000 credits. Plan credits renew every month and reset if unused. 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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":"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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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. 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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. 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. 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A profile costs 25 credits for fresh data, or 20 if you allow cached profiles. Unlike pay-per-result enrichments, you are charged for every profile the scraper processes, so clean malformed URLs out of your list before a large run. Plan credits renew every month and reset if unused, so they are sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, which makes them the better fit for one-off spikes.","profileHint":"= {credits} credits at {rate} credits per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist loads each public LinkedIn page, parses it, and writes the fields you picked straight into your collection.","steps":[{"label":"Step 1","title":"Upload your profile URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Standard profile URLs and Sales Navigator lead URLs both work, and you can mix them in the same column."},{"label":"Step 2","title":"Datablist reads the public page","body":"Datablist loads and parses each public profile itself. It never asks for your LinkedIn credentials and never acts as your account, which is why running it cannot get your profile restricted."},{"label":"Step 3","title":"Up to 40 fields land in your list","body":"Choose the outputs you want and Datablist writes them into new columns: name, headline, summary, location, work history, education, and firmographics for the current employer."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made workflows built around LinkedIn profile data.","cards":[{"title":"Employee & Talent Finder","description":"Find people at a company, filtered by role.","imageAlt":""},{"title":"Founders Finder","description":"Surface the founders behind a list of companies.","imageAlt":""},{"title":"Company Name to LinkedIn","description":"Resolve company names to their LinkedIn pages.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Scrape LinkedIn Leads","imageAlt":"How To Scrape LinkedIn Leads"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the LinkedIn Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from a LinkedIn URL using 20+ providers at once.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Unlock direct mobile numbers from the same LinkedIn profile URLs.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public company data from LinkedIn company page URLs.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about account safety, billing, and the data you get back."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Profile Scraper","description":"Run Datablist's LinkedIn Profile Scraper on your own list in 6 steps, no code needed. 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Cannot be combined with Include LinkedIn Internal ID (URN) or Include Pictures"],["Experiences to return","Select","How many work experiences to return: 3, 5, or 10. Defaults to 3"],["Educations to return","Select","How many education entries to return: 1, 3, or 5. Defaults to 1"]]},{"title":"Inputs","rows":[["Person's LinkedIn Profile","Text","The profile URL. Works with linkedin.com/in/xxx and Sales Navigator lead URLs"]]},{"title":"Outputs","rows":[["LinkedIn Profile URL Normalized","Url","The clean public profile URL, in the format linkedin.com/in/xxx"],["First Name / Last Name / Full Name","Text","The name on the profile, split and combined"],["Headline","Text","The tagline shown under the name on the profile"],["Summary","Text","The longer About blurb written by the person"],["City / State / Country / Country Name","Text","Location fields, with the country as a 2-letter ISO code and in words"],["Location","Text","The full location string as shown on the profile"],["Title (Current or last experience)","Text","Job title of the current or most recent role"],["Description (Current or last experience)","Text","The role description, where the profile has one"],["Start Date / End date (Current or last)","Date","Role dates. The end date is empty while the role is still active"],["Company Name (Current or last experience)","Text","Employer name on the current or most recent role"],["Company page URL / website","Text","The employer's LinkedIn page and its own website"],["Company description / industry / employee range","Text","Firmographics for the current employer, e.g. 11-50"],["Title, dates and company (Experience #2 to #10)","Text","Past roles, up to the number set in Experiences to return"],["Education entries","Text","School, degree, and dates, up to the number set in Educations to return"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Find LinkedIn Profiles From a Name","imageAlt":"How To Find LinkedIn Profiles From a Name"}]}},"corner":{"title":"Try it for Free","body":"Scrape every detail from your LinkedIn profile URLs. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentCompanyNameCleaner":{"metadata":{"title":"Company Name Cleaner - Clean Company Names in Bulk | Datablist","description":"Clean messy company names in bulk with AI. Remove LLC, Inc. and GmbH, fix casing and standardize names for outreach and your CRM. 0.5 credits per name."},"breadcrumb":"Company Name Cleaner","tabs":["Overview","How to use"],"hero":{"title":"Company Name Cleaner","description":"Fix messy company names in bulk. AI removes legal forms like LLC and GmbH, fixes casing and standardizes every name.","trust":["0.5 Credits per Name","Removes Legal Form","Perfect for Outreach"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Clean 1,000 company names free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Company Name Cleaner uses AI to turn raw company names into short, conversational names ready for outreach. It understands context instead of matching a fixed list of suffixes.","cards":[{"title":"What you give","items":["Company Name: The column with your messy names","Keep Legal Forms: Optional setting, off by default","Any language: Handles GmbH, SAS, Inc. and Ltd."],"links":["See full input reference"]},{"title":"What you get","items":["Cleaned Company Name: A normalized name for outreach or your CRM","Fixed casing: BESTFOODserviceGmbH becomes Bestfood Service","Company Name Confidence: Optional High, Medium, Low, or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.5 Credits per Name: 1,000 names cost 500 credits","Cached Names Cost 0: Matching requests reuse a cached result","Failed Rows Cost 0: Only successful uncached names use credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Outputs: Cleaned Company Name and optional Company Name Confidence.","groups":["Your data","Added by Company Name Cleaner"],"headers":["Company Name","Cleaned Company Name","Company Name Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many company names you need to clean and we'll show you the cheapest way to clean them.","unitsLabel":"Company names to clean","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"The Company Name Cleaner costs 0.5 credits per successful uncached name. The estimate counts every name you enter once. Matching cached requests cost 0 credits, so lists with repeated names can cost less. Failed rows cost 0 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","cleanerHint":"= {credits} credits at {rate} credits per name","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Upload the names, run the cleaner and get one clean column back.","steps":[{"label":"Step 1","title":"Upload your company names","body":"Import a CSV or Excel file and pick the column that holds the messy names. Your other columns stay untouched."},{"label":"Step 2","title":"AI cleans every name","body":"The AI removes legal forms such as LLC, Inc., GmbH and SAS, splits joined words and fixes casing. It reads the whole name, so a brand like Boston Consulting Group keeps its core name."},{"label":"Step 3","title":"Keep or remove legal forms","body":"One setting decides whether legal forms stay. Remove them for outreach, or keep them when your CRM needs the entity type. Matching cached requests cost 0 credits."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Clean company name","description":"Clean and standardize company names.","imageAlt":""},{"title":"Clean job title","description":"Remove unnecessary characters and normalize case.","imageAlt":""},{"title":"Correct capitalization","description":"Fix the capitalization of sentences and proper nouns.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Company Name Cleaner with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or the reverse.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes removed and casing fixed. 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. 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. 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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. 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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. 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Optional."],["Titles Fallback 2","Text","Search other job titles when no profile matches the \"Titles Fallback 1\" list. Optional."],["Titles Fallback 3","Text","Search other job titles when no profile matches the \"Titles Fallback 2\" list. Optional."],["Person Seniority","Select (multiple)","Select one or more seniority levels. Apollo returns people matching any selected level. You must define at least one Person Title or Person Seniority."],["Number of persons returned per search","Number","Default to 1. Max 3."]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain. Ex: google.com"],["Company name (optional)","Text","Company name is used as fallback if the company domain has yielded no result. This can be the case with companies that have several domains (.fr, .es, .com, etc.)."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","Returned by Apollo."],["Job Start Date #1","Text","Returned by Apollo."],["Seniority #1","Text","Returned by Apollo."],["City #1","Text","Returned by Apollo."],["Country #1","Text","Returned by Apollo."],["Company LinkedIn Page #1","Url","Returned by Apollo."],["Apollo Person ID #1","Text","Unique Apollo identifier for the person."],["Work Email Address #1","Email","Work email returned by Apollo Bulk People Enrichment."],["Email Status #1","Text","Apollo verification status for the work email."],["Email Domain Catch-all #1","Boolean","Whether Apollo identifies the email domain as catch-all."],["Email Domain Catch-all Verdict #1","Text","Apollo's catch-all verdict for the email domain."],["Email Confidence #1","Number","Apollo confidence score for an extrapolated email."],["Profile Photo #1","Url","Profile photo URL."],["Twitter/X Profile #1","Url","Twitter or X profile URL."],["GitHub Profile #1","Url","GitHub profile URL."],["Facebook Profile #1","Url","Facebook profile URL."],["State/Region #1","Text","Person's state or region."],["Formatted Address #1","Text","Person's formatted location or address."],["Street Address #1","Text","Person's street address when available."],["Postal Code #1","Text","Person's postal code."],["Time Zone #1","Text","Person's time zone."],["Departments #1","Text","Apollo department classifications for the person."],["Subdepartments #1","Text","Apollo subdepartment classifications for the person."],["Functions #1","Text","Apollo job-function classifications for the person."],["Employment History #1","LongText","Complete employment history returned by Apollo, formatted as JSON."],["Apollo Organization ID #1","Text","Unique Apollo identifier for the current organization."],["Organization Name #1","Text","Name of the person's current organization."],["Intent Strength #1","Text","Apollo intent-strength value when available."],["Intent Available #1","Boolean","Whether Apollo exposes intent data for the person."],["Company Domain #1","Text","Primary domain of the current organization."],["Company Website #1","Url","Website URL of the current organization."],["Company Twitter/X #1","Url","Twitter or X URL of the current organization."],["Company Facebook #1","Url","Facebook URL of the current organization."],["Company AngelList #1","Url","AngelList URL of the current organization."],["Company Crunchbase #1","Url","Crunchbase URL of the current organization."],["Company Logo #1","Url","Logo URL of the current organization."],["Company Phone #1","Text","Main phone number of the current organization."],["Company Founded Year #1","Number","Year the current organization was founded."],["Company Industry #1","Text","Primary industry of the current organization."],["Company Industries #1","Text","Industries associated with the current organization."],["Company Secondary Industries #1","Text","Secondary industries associated with the current organization."],["Company Keywords #1","LongText","Keywords associated with the current organization."],["Company Estimated Employees #1","Number","Apollo's estimated employee count for the current organization."],["Company Revenue #1","Number","Numeric revenue estimate for the current organization."],["Company Revenue (Formatted) #1","Text","Formatted revenue estimate returned by Apollo."],["Company Headcount Growth (6 Months) #1","Number","Six-month organization headcount growth."],["Company Headcount Growth (12 Months) #1","Number","Twelve-month organization headcount growth."],["Company Headcount Growth (24 Months) #1","Number","Twenty-four-month organization headcount growth."],["Company Alexa Ranking #1","Number","Alexa ranking returned by Apollo."],["Company Formatted Address #1","Text","Formatted address of the current organization."],["Company Street Address #1","Text","Street address of the current organization."],["Company City #1","Text","City of the current organization."],["Company State/Region #1","Text","State or region of the current organization."],["Company Postal Code #1","Text","Postal code of the current organization."],["Company Country #1","Text","Country of the current organization."],["Company Languages #1","Text","Languages associated with the current organization."],["Company NAICS Codes #1","Text","NAICS industry classification codes."],["Company SIC Codes #1","Text","SIC industry classification codes."],["Company Stock Symbol #1","Text","Public stock symbol of the current organization."],["Company Stock Exchange #1","Text","Public stock exchange of the current organization."],["Company Retail Location Count #1","Number","Number of retail locations reported by Apollo."],["Total Query Results","Number","The total number of profiles maching the query"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find the right people at a list of companies with your own Apollo key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Search"},"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. 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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. 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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. 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在线","EASY_TO_USE":"易于使用","NO_TECHNICAL_REQUIRED":"无需技术背景","NOCODE_CONF":"No-Code 配置","EXPORT_CSV_TITLE":"导出为 CSV 或 Excel 文件","EXPORT_CSV_DESC_1":"需要将数据传到其他应用或电子表格吗？","EXPORT_CSV_DESC_2":"<0>数据始终属于你</0>，可将所选项目或整个集合导出为 CSV 或 Microsoft Excel 文件。","EXPORT_CSV_DESC_3":"生成的 CSV 文件兼容 Google Sheets 及各类常见应用。","OK_GO":"好的，开始吧！","RESOURCES":"资源","AI_TITLE":"AI 处理重复项","AI_TEXT":"使用简单的 prompt 生成新数据、编辑现有信息，并从零搭建系统。","CSV_EDITOR_DESCRIPTION":"现代化的在线 CSV 编辑器。在浏览器中直接打开并编辑你的数据","LEAD_BUILDING_DESCRIPTION":"深挖海量 leads 的最佳工具。组织、清理与丰富数据，快速找到理想潜客。","COMBINE_DESCRIPTION":"将来自多来源的列表文件合并为一个集合。简单易用，非技术用户也能上手。","TALK_TO_US_TEXT":"试试 Datablist，感受数据匹配与记录去重的轻松与高效。已有 18,000+ 位用户在使用！","HERO_TITLE":"免费重复项清理工具","DESCRIPTION":"终于有比 Excel 更易用的数据去重替代方案。在 CSV 或 Excel 文件中查找、合并或移除重复值。","DEDUPLICATION_DEF_TITLE":"什么是数据去重？","DEDUPLICATION_DEF_DESC_1":"数据去重（<doc>deduping</doc>）是从数据集中消除重复记录的过程。","DEDUPLICATION_DEF_DESC_2":"去重可确保列表中的条目唯一。在使用邮件列表做营销、lead generation 或客户管理时，在电商商品目录管理中都需要去重。当两个条目指向同一实体时即为重复，例如两个使用相同 email 地址的 leads，或两个拥有相同条形码的商品。","DEDUPLICATION_DEF_DESC_3":"重复项会降低数据质量与效率。解决方式有两种：直接删除，或将相似条目合并为一个主记录。","DEDUPLICATION_DEF_DESC_4":"删除重复项很简单：去重算法找到重复条目后保留一条其余删除。合并重复项则需要分析重复记录并将其合并为一个主记录。","DUPLICATES_MODE_TITLE":"支持单个或多个数据集合的全量或部分字段分析","DUPLICATES_MODE_DESC_1":"Datablist 重复项查找器可进行全字段比较，或仅基于选定属性比对。","DUPLICATES_MODE_DESC_2":"使用选定属性模式，可基于 email 地址查找重复联系人，或用公司网站 URL 在公司列表中检测重复。","DUPLICATES_MODE_DESC_3":"Datablist 重复项查找器支持单个或多个列表。在多列表场景下，去重算法通过字段映射跨数据集比较记录。","MERGE_TITLE":"删除或整合重复项","DUPLICATES_PREVIEW_TITLE":"重复项预览","DUPLICATES_PREVIEW_DESC_1":"Datablist 会列出发现的重复项，便于你决定要执行的操作。","DUPLICATES_PREVIEW_DESC_2":"在详情抽屉中打开重复项进行编辑并合并信息，或直接删除重复项。","DUPLICATES_AUTO_MERGING_TITLE":"自动合并无冲突的重复项","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist 会自动找出可在不丢失信息的情况下合并的重复值。","DUPLICATES_AUTO_MERGING_BULLET_1":"当所有重复项的属性值完全一致时，仅保留一条，其余删除。","DUPLICATES_AUTO_MERGING_BULLET_2":"若重复项信息互补，将信息最完整的项设为主记录，并用其他记录填充其属性值，随后删除除主记录外的所有记录。","DUPLICATES_AUTO_MERGING_BULLET_3":"如存在属性值冲突，则跳过，等待人工合并。","MERGING_ASSISTANT_TITLE":"或使用合并助手手动处理冲突值","MERGING_ASSISTANT_DESC_1":"当无法自动合并时，使用 Datablist 合并助手选择保留的值，完成记录整合。","MERGING_ASSISTANT_DESC_2":"系统会选择信息最完整的记录作为主记录，并从次级记录中接收补充值。","DUPLICATES_DEDUPE_TITLE":"易用的 DeDupe 去重工具","DUPLICATES_DEDUPE_DESC_0":"市面上的去重工具多面向技术人员，配置繁琐、上手困难。","DUPLICATES_DEDUPE_DESC_1":"使用 Datablist，数据处理变得简单！数据去重终于人人可用。","DUPLICATES_DEDUPE_DESC_2":"直接在浏览器中对数十万条记录进行去重。","DUPLICATES_AUTO_MERGE_TITLE":"导入过程中自动合并","DUPLICATES_AUTO_MERGE_DESC_1":"除了使用重复项查找器外，你还可以在集合属性上设置“唯一值”规则。","DUPLICATES_AUTO_MERGE_DESC_2":"在数据导入时，如导入项已存在于集合或同一文件的其他位置，将按合并模式进行合并或删除。","DATA_DEDUP_WHEN_TITLE":"什么时候需要数据去重？","DATA_DEDUP_WHEN_MAIL_TITLE":"邮件列表去重","DATA_DEDUP_WHEN_MAIL_DESC_1":"随着时间推移，多个来源会汇入你的邮件列表：如网络研讨会参与者、购买用户、免费版用户等，同一个 email 可能在列表中出现多次。","DATA_DEDUP_WHEN_MAIL_DESC_2":"重复的 email 会给营销活动带来额外成本、类似 spam 的体验，并可能让已退订的用户仍然收到邮件，从而引发不满。","DATA_DEDUP_WHEN_MAIL_LINK":"如何清理邮件列表","DATA_DEDUP_WHEN_EXCEL_TITLE":"Microsoft Excel 去重","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets、Microsoft Excel 等表格工具提供基础去重能力，如高亮或删除某列的重复值。借助 Datablist 的自动合并与合并助手，可轻松处理复杂的重复记录。","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist 可直接打开 CSV 和 Excel 文件。","DATA_DEDUP_WHEN_EXCEL_LINK":"如何对 Excel 文件去重","DATA_DEDUP_WHEN_LEAD_TITLE":"Leads 与潜在客户去重工具","DATA_DEDUP_WHEN_LEAD_DESC_1":"在 B2B 营销中，潜在客户库的质量直接影响活动效果。充斥<doc>duplicate leads</doc>（重复线索）的脏数据会增加存储成本、削弱线索跟踪效率，并让销售团队倍感挫败。","DATA_DEDUP_WHEN_LEAD_DESC_2":"使用 Datablist 管理你的<doc>lead generation</doc>流程；或将 CRM 数据、lead 列表导入 Datablist 进行清理。","DATA_DEDUP_WHEN_LEAD_LINK":"如何对 lead 列表去重","DATA_DEDUP_WHEN_CSV_TITLE":"CSV 文件去重","DATA_DEDUP_WHEN_CSV_DESC_1":"清洗 CSV 数据往往耗时。数据工程师通常使用 Python 等编程语言来解析并清洗 CSV。Datablist 为非技术用户提供 No-Code 工具，直接处理<a1>CSV 文件</a1>的数据清洗流程。<a2>打开数十万行的 CSV</a2>并快速完成去重。","DATA_DEDUP_WHEN_CSV_LINK":"如何对 CSV 文件去重","SEE_ALSO_CSV_EDITOR":"CSV 编辑器","SEE_ALSO_GUIDE_EXCEL":"指南：在 Excel 中合并重复行且不丢失数据","SEE_ALSO_GUIDE":"指南：移除 CSV 重复项","SEE_ALSO_GUIDE_LARGE_CSV":"指南：在线编辑超大 CSV 文件","SEE_ALSO_COMBINE":"合并 CSV 文件","LEAD_LIST_BUILDING":"构建、清理并丰富你的 lead 列表","FIND_DUPLICATE_ONLINE_TITLE":"在线查找并移除重复项","FIND_DUPLICATE_ONLINE_DESC_1":"即时检测、合并并消除数据中的重复项。基于友好的 Web 界面，可在任意设备无障碍访问，无需复杂安装。","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist 使用先进算法快速识别重复项，为你节省时间并避免错误。告别人工查找，拥抱更顺畅的 workflow。","FUZZY_MATCHING_TITLE":"基于模糊匹配的去重","FUZZY_MATCHING_ONLINE_DESC_1":"模糊去重算法通过计算记录间的距离来判断相似度。你可以设置阈值来定义何时视为相似。与精确匹配不同，<0>fuzzy matching</0> 能智能识别变体，容忍拼写错误、缩写及细微差异。","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist 实现了<0>Levenshtein</0>与<1>Jaro-Winkler</1>距离算法。","CONSOLIDATE_DUPES_TITLE":"整合重复项，仅保留一条主记录","CONSOLIDATE_DUPES_DESC_1":"当简单合并不够用时，试试高级功能：通过合并（combine）或丢弃（drop）重复值来整合重复记录。","CONSOLIDATE_DUPES_DESC_2":"Datablist 会列出冲突字段，并让你选择处理方式。使用Combine values进行数据拼接，使用Drop values仅保留主记录的值。","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"使用 Datablist 的 AI Agent 进行 web scraping，自动化 Google 搜索，并用简单的 prompt 提取结构化数据。无需编码。","FAQ_Q1":"重复项查找器是否免费？","FAQ_A1":"是的，你可以免费在线查找并合并重复项。精确匹配与智能匹配等基础功能无需账号即可使用。若需模糊匹配或 phonetic（音近）匹配等高级算法，则需要付费方案。","FAQ_Q2":"这与 Excel 的“删除重复项”功能有何不同？","FAQ_A2":"Excel 会永久删除重复行，可能导致丢失其中的有价值数据。Datablist 通过合并记录，将所有重复项的互补信息智能整合为一条完整的主记录，你不会丢失任何数据。","FAQ_Q3":"我最多可以对多大的列表进行去重？","FAQ_A3":"Datablist 针对大文件而构建。免费版可处理最多 100 万行，付费版最高 150 万行，远超传统表格工具的限制。","FAQ_Q4":"能否识别包含拼写错误或细微差异的重复项？","FAQ_A4":"当然可以。我们的工具采用先进的模糊匹配算法（如 Levenshtein 与 Jaro-Winkler 距离），即使存在拼写错误或轻微格式差异，也能识别相似记录。","FAQ_Q5":"对于包含多个值的字段（如同一单元格内有两个 email），如何处理？","FAQ_A5":"我们已考虑到这种情况。你可以启用“Multiple Value Matching（多值匹配）”，将单元格内以分号分隔的每个值视作独立条目进行比对；只要其中一个值重复，即视为匹配。","FAQ_Q6":"我可以跨多个 CSV 或 Excel 文件查找重复项吗？","FAQ_A6":"可以。你可以将多个文件导入 Datablist，并在所有文件上运行重复项查找器。即使列或结构不同，也能基于公共标识符进行匹配。","FAQ_Q7":"使用它需要会写代码吗？","FAQ_A7":"完全不需要。Datablist 是彻底的 No-Code 方案。重复项查找器会通过友好的界面引导你按步骤选择列和匹配规则。","FAQ_Q8":"AI 如何帮助合并重复项？","FAQ_A8":"我们的 AI 编辑功能提供极高的灵活性。你可以用自然英语撰写指令，而不是受限于固定的合并规则。例如：让它汇总重复条目的销售额，或依据最新日期选择主记录。复杂逻辑，用一个简单的请求（prompt）就能完成。","FAQ_Q9":"合并重复项后，我的数据会如何处理？","FAQ_A9":"Datablist 会将数据整合为单一主记录：自动从其他重复项补全缺失信息；对于冲突数据，你可以选择拼接不同行的文本，或指定保留哪一个值。冗余记录随后会被删除。","FAQ_Q10":"可用的匹配算法有哪些？","FAQ_A10":"我们提供多种算法以满足不同需求：Exact（精确匹配）用于完全一致；Smart（智能匹配）可处理词序、URL 协议等变体；Phonetic（音近匹配）用于读音相近的姓名；Fuzzy Matching（模糊匹配）可处理拼写错误与笔误。","FAQ_Q11":"我能在合并前导出重复分组列表进行审阅吗？","FAQ_A11":"可以。Datablist 识别出所有重复分组后，你可以在修改前将其导出为 CSV 或 Excel 文件。导出文件会将重复项按组连续排列，方便在外部审阅或使用其他工具处理。","FAQ_Q12":"在 Datablist 中合并重复项后，如何更新我的 CRM？","FAQ_A12":"合并完成后，Datablist 会提供可下载的“变更清单”。该文件相当于日志，详细记录整个流程中被更新或删除的每一条记录。你可以据此在外部系统（如 CRM）中轻松复现这些变更，确保数据保持同步。"},"CSVEditor":{"PAGE_TITLE":"免费在线 CSV 编辑器与查看器","PAGE_DESC":"现代化的 CSV 在线编辑器，帮助您在线管理 CSV 文件。直接在浏览器中打开、编辑您的数据","HEADER_TITLE":"在线 CSV 编辑器与查看器","HEADER_DESC_1":"在线探索并编辑您的 Leads（潜在客户）、客户或产品的 CSV 文件。","NO_SIGNUP":"无需注册","ONLINE_100":"100% 在线","NO_CODE_CONFIG":"无代码配置","CSV_DEF_TITLE":"什么是 CSV 文件？","CSV_DEF_DESC_1":"CSV 是“Comma Separated Value(s)”的缩写，是一种使用文本文件存储结构化数据的格式。在 CSV 文件中，每一行是一个数据记录，每条记录由逗号分隔的字段组成（有时也使用分号 ';' 或制表符）。","CSV_DEF_DESC_2":"CSV 文件是在应用之间传输数据的常见方式。由于它基于文本文件，CSV 格式是导出数据库或电子表格数据的简便方法。","EDIT_TITLE":"在线打开 CSV 文件","EDIT_DESC_1":"直接在您的网页浏览器中上传 CSV 文件。Datablist CSV 编辑器会自动检测 CSV 列分隔符。","EDIT_DESC_2":"选择要导入的 CSV 列并定义数据类型：Text（文本）、LongText（长文本）、Date（日期）、Number（数字）、Email 地址等。","EDIT_DESC_3":"导入后，使用 Datablist 按任意属性排序，并用全文搜索筛选您的数据。","DATA_MANIP_TITLE":"清洗并整合您的 CSV 文件","DATA_MANIP_DESC":"别再用 Excel 或 Google Sheets 处理数据了 😱！","WHY_USE_CSV_TITLE":"为什么选择 Datablist 的 CSV 编辑器？","WHY_USE_CSV_BLOC_TITLE_1":"清洗您的邮件列表","WHY_USE_CSV_BLOC_DESC_1":"Email 列表是触达用户群体的理想方式。但随着时间推移，列表会变得混乱。使用 Datablist 提升送达率、节省成本，轻松去重并移除无效的 Email 地址。","WHY_USE_CSV_BLOC_TITLE_2":"管理您的产品目录","WHY_USE_CSV_BLOC_DESC_2":"几乎所有电商工具都支持用 CSV 导入/导出产品目录。无论是在发送到 Google Shopping 前清洗产品目录，还是把多个店铺的数据整合为一个集合，Datablist 都为清单（listing）管理量身打造。","WHY_USE_CSV_BLOC_TITLE_3":"丰富您的 Leads（潜在客户）数据","WHY_USE_CSV_BLOC_DESC_3":"有一份意向客户列表，想补充 Email、职务头衔、LinkedIn 资料等信息？CRM 工具在 Leads 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diff，而这些文件否则可能出现乱码、重音字符损坏或不可读字符时，这一点非常重要。"]},{"TITLE":"diff 数据表中的行号","PARAGRAPHS":["当你按 key column 比较 CSV 文件时，diff 数据表还可以显示每条匹配记录在源文件中的行号。如果该行位置未变化，你会看到一个行号；如果记录发生了移动，表格会同时显示两个行号，便于你在各自文件中追踪。","这对于审计、对账和支持场景非常有用，因为你不仅需要说明发生了什么变化，还需要准确指出该行在原始 CSV 和更新后 CSV 中分别来自哪里。"]},{"TITLE":"基于浏览器的私密处理","PARAGRAPHS":["CSV 文件会直接在你的浏览器中解析和比较。当你处理客户导出、营收快照、库存数据或任何应保留在本机的敏感表格时，这一点尤为重要。","这也让在线 CSV diff 体验更快，因为在查看结果之前无需经过服务端上传步骤。"]}],"FAQ_TITLE":"常见问题","FAQ_ITEMS":[{"QUESTION":"如何在线比较两个 CSV 文件？","ANSWER":"上传原始 CSV 和更新后的 CSV，选择行的匹配方式，查看 diff 预览，然后下载 summary 或完整 diff CSV。按 id、email 或其他稳定 key 进行匹配，通常能得到最清晰的结果。"},{"QUESTION":"可以按 id 比较 CSV 文件吗？","ANSWER":"可以。该工具专为按 key column 比较 CSV 行而设计。它可以自动推荐 id、email、sku、key 或 uuid 等列；如果单个列不足以唯一标识记录，你也可以选择多个 key column。"},{"QUESTION":"如果列顺序被重新排列了怎么办？","ANSWER":"默认行为是按列名比较列，而不只是按位置比较。这意味着，只要两个文件中存在相同名称的列，列重排就不会造成错误差异。"},{"QUESTION":"CSV diff 中的 join 类型是什么意思？","ANSWER":"Join 类型控制结果中会包含哪些行。Full outer join 包含匹配行、新增行和删除行。Inner join 只包含两个文件中都存在的行。Left join 以原始 CSV 为基础，并排除仅存在于更新文件中的行。"},{"QUESTION":"我可以忽略空白或大小写差异吗？","ANSWER":"可以。比较设置支持忽略空白、忽略大小写，并将空值或类 null 值视为相等。这有助于你聚焦真实的数据变化，而不是仅仅看到格式层面的噪音。"},{"QUESTION":"支持哪些 CSV 编码？","ANSWER":"该工具兼容常见的 CSV 编码，包括 UTF-8、带 BOM 的 UTF-8、UTF-16 LE、UTF-16 BE、Windows-1252 和 Latin-1 风格文件。这对于处理来自 Excel、旧版软件和非 UTF-8 业务系统的 CSV 导出非常有帮助。"},{"QUESTION":"我可以在 diff 中看到行号吗？","ANSWER":"可以。当按 key column 匹配行时，diff 数据表可以显示两个文件中的行号。如果某条记录在两个文件中的行号不同，则会同时显示两个行号，方便你回溯到源 CSV。"},{"QUESTION":"有哪些可用的输出格式？","ANSWER":"你可以导出 summary CSV、变更行 CSV 或完整 diff CSV。输出设置还允许你选择分隔符，并决定是否包含未变更的行。"},{"QUESTION":"这个工具可以比较大型 CSV 文件吗？","ANSWER":"可以。预览会保持在受控范围内，以确保页面响应流畅；同时系统仍会计算完整 diff，用于统计和下载。因此它比依赖大量 DOM 渲染的简单查看器更适合处理较大的导出文件。"},{"QUESTION":"这个 CSV 对比工具是免费的吗？","ANSWER":"是的。本页面提供免费的在线 CSV diff 工具。你可以在线比较 CSV 文件、查看差异，并下载结果，无需安装桌面软件。"}],"OTHER_TOOLS_DESC":"比较完两个 CSV 文件后，还需要其他数据工具吗？这些工具专为相邻的数据清洗与格式转换 workflow 而设计。"},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV 行拆分器 — 按分隔符拆分/展开 CSV 行","PAGE_DESC":"免费在线工具，可按分隔符拆分 CSV 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tools"],"HERO_TITLE":"按分隔符拆分 CSV 行 — 几秒完成，无需 Excel 公式。","HERO_DESC":"我从 CRM 导出了联系人，所有 emails 都挤在一个单元格里，用逗号分隔。我需要每行只有一个 email。用 Excel 做起来很痛苦，这个工具 10 秒就够。","WHY_TITLE":"为什么拆分多值单元格很重要","WHY_DESC":"CRM、电商平台和问卷导出的数据，常常会把多个值塞进同一个单元格。tags、emails、电话号码、分类——都堆在一个分隔符后面。规范化后的数据更容易导入、去重、筛选和 enrich。每行一个值，才是大多数工具默认期望的数据格式。","INTRO_CARDS":[{"TITLE":"将 CSV 中的一列拆分为多行","PARAGRAPHS":["当你需要把 CSV 中的一列拆分成多行时，就可以使用这个工具。它特别适合这类文件：一个单元格中包含多个 emails、tags、电话号码、分类、技能或 ID，并由分隔符隔开。","这是规范化 CSV 数据、处理 CSV 多值单元格的最快方式之一，尤其适合在将文件导入其他系统之前使用。与其在一条记录中保留多个值，不如直接展开 CSV 行，让每个值都有自己独立的一行。"]},{"TITLE":"如何在 Excel 中将一个单元格拆分为多行","PARAGRAPHS":["很多人会搜索如何在 Excel 中将一个单元格拆分成多行，或者如何将逗号分隔的值拆分为 Excel 中的多行。对于 CSV 文件，这个在线工具通常比写公式、使用 Power Query 或手动复制行更快。","粘贴或上传你的 CSV，选择目标列，确认分隔符，然后下载结果。如果你的目标是在线把 CSV 中的多值单元格转换为多行，这个页面就是为这种 workflow 专门设计的。"]}],"EXAMPLES":{"EMAILS":{"TITLE":"示例：将包含多个 email 的联系人拆分为每个 email 一行","DESCRIPTION":"常见的 CRM 导出会把某个联系人的所有 email 放在同一个单元格中。拆分后，每个联系人会展开为多行，便于导入到任何工具中。","INPUT_LABEL":"CSV 输入","OUTPUT_LABEL":"CSV 输出"},"TAGS":{"TITLE":"示例：将产品 tags 展开为独立行","DESCRIPTION":"产品目录通常会把多个 tags 放在同一个单元格中。拆分后，你会得到干净的“每行一个 tag”结构，方便筛选、分组和分析。","INPUT_LABEL":"CSV 输入","OUTPUT_LABEL":"CSV 输出"}},"SETTINGS_CARDS":[{"TITLE":"工具如何拆分 CSV 行","ITEMS":[{"TITLE":"要拆分的列","BODY":"选择包含多个值的列，这些值位于同一个单元格中。其他列会在新生成的各行中自动复制。当前版本一次只能展开一列。"},{"TITLE":"单元格分隔符","BODY":"这是单元格内部用于分隔多个值的字符——不同于 CSV 的列分隔符。常见选项包括逗号、分号、竖线和制表符。工具会根据你的数据推荐合适的分隔符。"},{"TITLE":"去除空格","BODY":"默认启用。拆分后会移除每个值前后的空白字符。当值之间是 \", \" 而不只是 \",\" 时，这个选项尤其有用。"}]},{"TITLE":"高级选项","ITEMS":[{"TITLE":"删除重复值","BODY":"当一个单元格包含 `a,a,b` 时，启用此选项后只保留一个 `a`，最终生成两行而不是三行。适合处理源数据中的意外重复。"},{"TITLE":"跳过空值","BODY":"当拆分结果产生空字符串时，例如尾部分隔符 `a,b,` 导致的情况，此选项会忽略该空值，而不是创建一条空白行。"},{"TITLE":"默认保留空单元格","BODY":"如果某个单元格完全为空，则该行会原样保留。只有真正包含分隔符的单元格才会被展开。"}]}],"INFO_CARDS":[{"TITLE":"支持大体量 CSV 文件","PARAGRAPHS":["拆分操作会增加行数，有时增幅会很明显。例如，一个有 5,000 行、且每个单元格平均包含 3 个值的文件，拆分后会变成 15,000 行。这个工具可以轻松处理。","预览只显示前 100 行输出，以保持浏览器响应流畅。确认拆分结果正确后，你可以下载完整的 CSV 文件。"]},{"TITLE":"兼容多种 CSV 编码","PARAGRAPHS":["来自电子表格和旧系统导出的 CSV 文件，编码格式并不总是相同。这个工具支持常见的 CSV 编码，包括 UTF-8、带 BOM 的 UTF-8、UTF-16 LE、UTF-16 BE、Windows-1252 以及 Latin-1 风格文件。","这让它在处理包含重音字符、特殊字符或老旧导出格式的 CSV 文件时更可靠，而这些文件往往会让基础在线工具出错。"]},{"TITLE":"你的文件不会离开浏览器","PARAGRAPHS":["所有解析和拆分都在你的浏览器本地通过 Web Worker 完成，不会上传到任何服务器。这对于处理客户数据、CRM 导出或敏感联系人列表尤其重要。","此工具可免费使用，无需注册账号。"]}],"USE_CASES_TITLE":"何时使用这个工具","USE_CASES":[{"TITLE":"将逗号分隔的值拆分为多行","BODY":"把一个单元格中的 `a,b,c` 转成三条独立行——这是 CRM 和电商导出中最常见的用例。"},{"TITLE":"规范化每个单元格包含多个 emails 的 CSV","BODY":"展开联系人列表中“一个人对应多个 emails 且集中在同一列”的数据，让每个 email 都拥有独立的一行。"},{"TITLE":"将包含多个值的列拆分为多行","BODY":"当某个 CSV 列在一个单元格中存储多个值时，将其展开为多行，可让文件更易于导入、筛选和分析。"},{"TITLE":"展开 tags 和分类","BODY":"产品目录、博客文章和支持工单经常在一个字段中存储多个 tags。分析前先将它们规范化。"},{"TITLE":"拆分多个电话号码","BODY":"当联系人在一个单元格中包含多个电话号码时，可将它们拆分为独立行，便于更干净地导入到拨号工具或 CRM。"},{"TITLE":"为去重准备 tidy data","BODY":"每行一个值是 tidy data 的标准。拆分后，你可以使用 Datablist 对结果进行去重、筛选和 enrich。"},{"TITLE":"为导入做好数据准备","BODY":"大多数 CRM 和营销平台都要求每行一个值。拆分通常是导入或 enrich 数据前的第一步。"}],"VOCABULARY":{"TITLE":"CSV explode、unnest、flatten 或 unpivot","PARAGRAPHS":["不同工具对这种转换有不同叫法。你可能在寻找 CSV explode 列工具、展开 CSV 列的方法、展平 CSV 列的方法，或者针对多值列的 CSV unpivot workflow。","但在实践中，目标是相同的：把每个单元格中包含多个值的数据整理成 tidy data，让一个值对应一行。这样的结构更容易做 join、去重、分组、enrich 和导出。"]},"FAQ_TITLE":"常见问题","FAQ_ITEMS":[{"QUESTION":"可以使用分号作为单元格分隔符吗？","ANSWER":"可以。该工具支持逗号、分号、竖线、制表符以及自定义分隔符。当你选择某一列时，它也会尝试根据数据自动识别正确的分隔符。"},{"QUESTION":"支持大 CSV 文件吗？","ANSWER":"支持。拆分过程在 Web Worker 中执行，因此不会阻塞浏览器。预览最多显示 100 行，但即使你的文件有数万行，也仍然可以下载完整输出结果。"},{"QUESTION":"我的数据会被上传到服务器吗？","ANSWER":"不会。所有操作都在你的浏览器本地运行。你的 CSV 永远不会发送到任何服务器。因此它适合处理客户数据、内部导出以及任何你不希望上传的内容。"},{"QUESTION":"支持哪些 CSV 编码？","ANSWER":"该工具兼容常见的 CSV 编码，包括 UTF-8、带 BOM 的 UTF-8、UTF-16 LE、UTF-16 BE、Windows-1252 和 Latin-1 风格文件。这对于来自 Excel、旧软件或包含重音字符的导出文件尤其有帮助。"},{"QUESTION":"不包含分隔符的单元格会怎样处理？","ANSWER":"它们会保持原样。只有实际包含分隔符字符的单元格才会被展开为多行。空单元格默认也会保留。"},{"QUESTION":"能正确处理带引号的 CSV 字段吗？","ANSWER":"可以。底层 CSV 解析器会正确处理带引号的字段。像 \"mia.chen@example.test,mia@workmail.test\" 这样的值会被视为一个单独字段，并按单元格分隔符拆分，而不是按 CSV 分隔符拆分。"}],"CTA_TITLE":"拆分后还需要去重或 enrich 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分隔符、带引号的换行、重复表头和编码都会自动处理。","LOAD_FIRST_DESC":"上传文件或粘贴 CSV，然后选择一种拆分模式以继续。","LOAD_FIRST_TITLE":"请先加载 CSV","MODE_LOCKED_HINT":"上传或粘贴 CSV 后，即可启用这些拆分模式。","MODE_OPTIONS":[{"DESCRIPTION":"按固定行数创建文件。这是大多数导出场景下最安全的默认选项。","LABEL":"按行拆分","MODE":"rows"},{"DESCRIPTION":"当其他工具拒绝较大的 CSV 文件时，将每个文件控制在大致的上传限制以内。","LABEL":"按文件大小拆分","MODE":"size"},{"DESCRIPTION":"按国家、负责人、状态或其他重复类别分别创建文件。","LABEL":"按列值拆分","MODE":"column_value"},{"DESCRIPTION":"根据国家、email 域名或公司规模等简单条件，将行分配到不同文件。","LABEL":"按规则拆分","MODE":"conditional"},{"DESCRIPTION":"使用日期列按月份、年份或 ISO 周对行进行分组。","LABEL":"按日期范围拆分","MODE":"date_range"}],"PASTE_CARD_DESC":"适合快速测试，或当文件已经在你的剪贴板中时使用。","PASTE_CARD_TITLE":"粘贴 CSV","PASTE_DROP_HINT":"粘贴或拖放文件","PASTED_LABEL":"已粘贴的 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leads，可免费查看。","NAME":"姓名","JOB_TITLE":"职位","COMPANY":"公司","LOCATION":"地区","COPY":"复制","COPIED":"已复制","DOWNLOAD":"下载 CSV","NOTE":"免费预览会显示 {count} 条 leads，但不包含联系方式。运行完整抓取后，可通过 Datablist 的数据补充功能获取 email 和个人资料 URL。","ERROR_EMPTY":"请粘贴 Sales Navigator 搜索 URL 以开始。","ERROR_URL":"这似乎不是有效的 URL。","ERROR_HOST":"该链接指向 {host}，而不是 LinkedIn。","ERROR_PROFILE":"这是单个 LinkedIn 个人资料，而不是搜索结果。","ERROR_RECORD":"这是单条 Sales Navigator 记录，而不是搜索结果。","ERROR_SEARCH":"这是 LinkedIn 链接，但不是 Sales Navigator 搜索链接。","ERROR_FAILURE":"抓取未完成，请稍后重试。","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"抓取完整列表","ERROR_HINTS":{"url":"在 Sales Navigator 中打开您的搜索，然后复制地址栏中的 URL。","host":"Sales Navigator URL 以 linkedin.com/sales/search/ 开头","profile":"请先在 Sales Navigator 中运行搜索，然后复制该 URL。","record":"返回搜索结果页面，并从那里复制 URL。","search":"请查找 linkedin.com/sales/search/people 或 /sales/search/company"}}},"ToolsEmailFinder":{"CONTENT":{"META_TITLE":"免费 Email Finder | Datablist","META_SOCIAL_TITLE":"免费 Email 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One found email free per day. Copy or download your result, with no signup required.","SCHEMA_NAME":"Datablist 免费 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":"免费 Email Finder","DESCRIPTION":"Find one work email free each day. Give a name and company, or a LinkedIn profile.\nNo signup required."},"WATERFALL":{"TITLE":"为什么瀑布式查找优于单次查询","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":"深受初创公司与大型企业信赖","STATS":[{"value":"35,000+","label":"家公司正在使用 Datablist"},{"value":"20M+","label":"每月完成数据丰富的行数"},{"value":"60+","label":"种 lead generation 工具"}],"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":"工作原理","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":"免费账户初始即获 500 个 credits，并可一次处理整份名单。","LABEL":"创建免费账户"}},"USE_CASES":{"TITLE":"应用场景","ITEMS":[{"title":"创建真正可触达的 leads 名单","body":"仅有姓名和公司还无法联系对方。将抓取或导出的名单转换为可用于发送 email 的名单，才真正让数据产生价值。","ctaLabel":"批量查找 Email","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"补全现有名单中的缺失信息","body":"大多数导出的名单都不完整。仅处理缺少邮箱地址的行，未找到结果的查询无需付费。","ctaLabel":"创建包含 Email 的 Leads 名单","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"使用您自己的提供商密钥","body":"已经在为 Hunter、Dropcontact 或类似服务付费？使用您自己的密钥运行瀑布式查找，即可完全绕过 Datablist credits 系统。","ctaLabel":"自定义瀑布式 Email Finder","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"发送前进行个性化处理","body":"经过验证的地址只是起点，而不是终点。email 能否奏效，取决于开头第一句话是否让人感觉是专门为收件人撰写的。","ctaLabel":"冷启动 Email 个性化","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"实际找到 1,000 个 email 需要多少费用","INTRO":"按 credit 标示的价格掩盖了真正重要的信息：获得 1,000 个真正可发送的地址究竟需要支付多少费用。Hunter 查询的是单一索引，因此每个 email 的成本更低。瀑布式查找的单次查询成本更高，但能找到单一来源无法覆盖的联系人。在瀑布式查找工具中，Datablist 的价格最低。","HEADERS":["工具","每 1,000 个 email 的成本","查找方式","未命中结果"],"BEST_LABEL":"所有瀑布式工具中最低","BEST_LABEL_MOBILE":"{cost} · 所有瀑布式工具中最低","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"单一来源索引","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"20+ 家提供商瀑布式查找","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"20+ 家提供商瀑布式查找","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"20+ 家提供商瀑布式查找","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"专有数据库","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150+ 项集成","misses":"不收费","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"仅提供报价","approach":"专有数据库","misses":"未公布","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"仅提供报价","approach":"专有数据库","misses":"未公布","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"每找到 1,000 个 email 的成本，数据来自 Datablist 已发布的比较分析及各供应商的定价页面，核查于 2026 年 9 月。列出的所有工具都只对成功找到的地址收费，因此可直接比较。仅提供报价的供应商未公开费率。","SOURCES":[{"n":1,"label":"Datablist 的 CPME 分析","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablist 定价","href":"/pricing"},{"n":3,"label":"Hunter.io 定价","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContact 定价","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrich 定价","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apollo 定价","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clay 定价","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"只为实际获得的 email 付费","BODY":"免费开始使用，并获得 500 个 credits。未找到结果的查询不收费。","LABEL":"创建免费账户"}},"RELATED":{"TITLE":"相关工具","EYEBROW":"需要批量处理？","ENRICHMENT":{"label":"瀑布式 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":"免费域名查找工具","href":"/tools/domain-finder","blurb":"将公司名称转换为网站地址，并提供置信度评级。"},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"从搜索 URL 获取 leads，无需操作您的 LinkedIn 账户。"},{"label":"公司名称清理工具","href":"/tools/company-name-cleaner","blurb":"使用 AI 清理工具移除公司法律实体后缀并修正大小写。"}]},"FAQ":{"TITLE":"常见问题","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":"您希望如何搜索？","MODE_NAME":"姓名 + 公司","MODE_LINKEDIN":"LinkedIn URL","FIRST_NAME":"名字","LAST_NAME":"姓氏","COMPANY":"公司或域名","LINKEDIN":"LinkedIn 个人资料 URL","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"域名比公司名称的查找效果更好。","HINT_LINKEDIN":"请提供个人资料，而非公司页面。","COPY":"复制","COPIED":"已复制","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":"注册免费账户即可获得 500 个 credits，足以找到 20 个 email。无需信用卡。","BANNER_CTA":"免费获取 500 个 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":"免费公司名称清洗工具 | Datablist","META_SOCIAL_TITLE":"免费公司名称清洗工具","META_DESCRIPTION":"使用 AI 每次最多清洗 10 个公司名称。统一大小写和法律实体后缀，然后复制或导出结果。无需注册；每日有使用额度限制。","SCHEMA_NAME":"Datablist 免费公司名称清洗工具","SCHEMA_DESCRIPTION":"使用 AI 每次最多清洗 10 个公司名称。统一大小写和法律实体后缀，然后复制或导出结果。无需注册；每日有使用额度限制。","BREADCRUMB_CURRENT":"公司名称清洗工具","HERO":{"TITLE":"免费规范杂乱的公司名称","DESCRIPTION":"粘贴列表，修正大小写，并选择是否保留法律实体后缀。每次最多处理 10 个名称，无需注册。"},"FORMULA":{"TITLE":"为什么不直接使用电子表格公式？","QUOTE":"“最终你会得到一个庞大且层层嵌套的 SUBSTITUTE 公式，一旦遇到无法识别的后缀就会失效。”这正是手写公式的陷阱：它只能识别你预先想到的模式，每出现一种新格式，都要修改本就难以阅读的公式。AI 清洗工具则会结合上下文理解名称，因此即使遇到没人专门编写规则的后缀、大小写样式或行业缩写，也能妥善处理。","HEADERS":["处理前","处理后","处理说明"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"修正全大写并移除后缀"},{"raw":"müller & söhne gmbh & co. kg","note":"修正全小写；优先识别复合法律实体后缀，而非仅识别“GmbH”"},{"raw":"\"Tech Company, INC.\"","note":"移除首尾引号和后缀"},{"raw":"SAP","note":"命中缩写白名单，完全保持原样"},{"raw":"1234567 Ontario Inc.","note":"编号公司格式；使用前请检查清洗后的名称"}],"NOTE":"以上为示例。AI 清洗工具仅返回清洗后的公司名称，不提供置信度评分或说明。使用重要名称前请仔细检查。","REVIEW":"需检查"},"FIXES":{"TITLE":"可以修复哪些问题","ITEMS":[{"icon":"Scissors","title":"移除法律实体后缀","body":"AI 清洗工具可以移除 Inc.、LLC、Ltd.、GmbH 和 SAS 等法律实体形式，同时保留易于识别的公司名称。"},{"icon":"CaseSensitive","title":"修正大小写","body":"清洗工具会统一不一致的大小写，同时保留易于识别的品牌名称和缩写。"},{"icon":"Eraser","title":"空格、引号和标点","body":"合并重复空格，移除从电子表格粘贴时残留的首尾引号，并清理移除后缀后留下的末尾逗号或句号。"},{"icon":"CopyCheck","title":"对比处理前后结果","body":"复制结果或下载 CSV 前，对比原始名称与清洗后的名称。"}]},"SOCIAL":{"TITLE":"深受初创企业和大型企业信赖","STATS":[{"value":"35,000+","label":"家公司正在使用 Datablist"},{"value":"20M+","label":"每月完成数据丰富的行数"},{"value":"60+","label":"款 lead generation 工具"}],"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":"工作原理","STEPS":[{"step":1,"title":"粘贴列表","body":"每行一个公司名称，每次最多处理 10 个。可直接处理从 CRM 导出的数据、抓取的 leads 列表或电子表格列，包括混乱的大小写和法律实体后缀。设置此上限是因为处理每个名称都会消耗 credits，并非工具无法处理更多数据。"},{"step":2,"title":"清洗工具规范每个名称","body":"AI 清洗工具会返回清洗后的名称，供你与原始名称对比。它不会返回置信度评分或说明。"},{"step":3,"title":"复制或下载结果","body":"将规范后的名称直接复制到剪贴板，或下载完整的 CSV 对比文件，其中包含每行的原始名称、清洗后名称和结果状态。"}],"CTA":{"TITLE":"一次清洗超过 10 个名称","BODY":"免费账户初始包含 500 credits，足以处理 1,000 个公司名称。","LABEL":"创建免费账户"}},"USE_CASES":{"TITLE":"使用场景","ITEMS":[{"title":"在名称进入 CRM 前进行规范","body":"在重复的“Acme Inc”和“ACME Corporation”记录堆积到同一条 pipeline 前，修正不一致的大小写和法律实体后缀。","ctaLabel":"如何规范公司名称","ctaHref":"/how-to/normalize-company-names"},{"title":"对现有列表进行去重","body":"对于大多数工具来说，仅大小写或后缀不同的两行会被视为不同公司。先规范名称，重复项便一目了然。","ctaLabel":"如何对公司名称去重","ctaHref":"/how-to/dedupe-company-names"},{"title":"更新陈旧的 CRM 导出数据","body":"从旧系统导出的数据最容易积累不一致的命名。重新导入时先进行规范，以免将混乱继续带入新系统。","ctaLabel":"清洗、丰富和更新 CRM 数据","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"发送 email 前规范列表","body":"公司名称字段会用于个性化变量。名称中多余的引号或刺眼的全大写，正是收件人会注意到的细节。","ctaLabel":"Email 列表清洗指南","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"免费规范你的列表","RELATED":{"TITLE":"相关工具","EYEBROW":"需要批量处理？","ENRICHMENT":{"label":"公司名称清洗数据丰富功能","href":"/enrichments/company-name-cleaner","blurb":"使用相同的清洗工具，但不受 10 个名称的限制，可直接对 Datablist 中的数据集运行。每个名称消耗 0.5 credits，重复行会使用缓存，不会重复计费。"},"TOOLS":[{"label":"免费域名查找工具","href":"/tools/domain-finder","blurb":"根据公司名称查找网站，并提供置信度评级。"},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"通过搜索 URL 获取 leads，无需操作你的 LinkedIn 账户。"},{"label":"免费 Email Finder","href":"/tools/email-finder","blurb":"根据姓名和公司查找工作 email。"}]},"FAQ":{"TITLE":"常见问题","ITEMS":[{"question":"这个免费工具是否基于 AI？","answer":"是的。它使用 Datablist 的 AI 公司名称清洗工具，与付费数据丰富功能使用的是同一款工具。它会理解上下文和行业术语，而不是仅匹配固定的后缀列表。由于处理每个名称都需要消耗 credits，每次最多可处理 10 个名称，每个名称消耗 0.5 credits。"},{"question":"我可以免费规范多少个名称？","answer":"每次最多 10 个，并受每个浏览器会话和 IP 每日 5 credits 的额度限制。每个提交的名称会预留 0.5 credit；任务完成后，未使用的预留额度将被释放。额度会在 UTC 时间午夜重置。"},{"question":"清洗工具会返回置信度评分吗？","answer":"不会。它只返回清洗后的公司名称。表格会显示返回的名称是否与输入内容不同。使用重要或含义不明确的名称前，请仔细检查。"},{"question":"我粘贴的名称会发送到哪里？","answer":"这些名称会发送到 Datablist 进行规范，因为清洗工具是在我们的基础设施上运行的 AI 模型，而不是浏览器中的脚本。只有按下按钮后任务才会运行，因此在发送任何内容前，你可以清楚查看从剪贴板读取了哪些内容。"},{"question":"这个工具与付费数据丰富功能有什么区别？","answer":"清洗工具相同，处理规模不同。此页面无需账户，每次可处理 10 个名称。数据丰富功能可直接对 Datablist 中的数据集运行，没有 10 个名称的限制，每个名称消耗 0.5 credits；无需导出后再重新粘贴，重复行还会使用缓存，不会重复计费。"},{"question":"我可以规范已经导入 Datablist 的名称吗？","answer":"可以。付费数据丰富功能可直接对 Datablist 中的数据集运行，因此无需导出后再重新粘贴。此免费工具适合快速处理你当前手头的列表。"}]}},"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. 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的云端抓取工具（PhantomBuster）","body":"要求您从开发者工具中复制并粘贴敏感的 sessionid Cookie。这相当于将您已登录的 Instagram 身份交给外部服务器，使账号面临高风险。"}]},"SOCIAL":{"TITLE":"深受初创公司和大型企业信赖","STATS":[{"value":"35,000+","label":"家公司正在使用 Datablist"},{"value":"20M+","label":"每月完成数据丰富的行数"},{"value":"60+","label":"种 lead generation 工具"}],"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":"使用方式","STEPS":[{"step":1,"title":"输入 Instagram 主页或用户名","body":"粘贴任意公开 Instagram 主页 URL（例如 instagram.com/nike）、用户名（@nike）或数字用户 ID。使用完整版 Datablist 应用时，也可以一次粘贴多个网红主页。"},{"step":2,"title":"我们通过云服务器安全抓取","body":"提取操作完全在 Datablist 的专用基础设施上运行。我们绝不会索取您的 Instagram 密码、双重验证码或会话 Cookie（sessionid），确保您的个人账号不会因操作限制或封禁而受到影响。"},{"step":3,"title":"导出并通过 email 和电话丰富数据","body":"将整理好的粉丝表下载为 CSV 或 Excel。在 Datablist 中，您可以让抓取到的用户名依次通过 15+ 家 email 和电话数据提供商，为创作者营销活动查找经过验证的联系信息。"}],"CTA":{"TITLE":"抓取完整粉丝列表，不只查看十行预览","BODY":"免费 Datablist 账号包含 500 个 credits（最多可抓取 50,000 位粉丝），完全无需登录 Instagram。","LABEL":"创建免费账号"}},"USE_CASES":{"TITLE":"使用场景","ITEMS":[{"title":"受众与竞争对手分析","body":"准确了解哪些人在关注竞争品牌和细分领域的头部账号。分析共同兴趣、认证比例和受众人口特征，优化您的市场定位。","ctaLabel":"Lead 列表构建指南","ctaHref":"/how-to/lead-list-building-guide"},{"title":"网红营销与创作者发掘","body":"提取行业头部创作者的粉丝列表，并筛选已认证主页或带有公开联系标签的主页，建立高转化的合作名单。","ctaLabel":"网红数据抓取指南","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"查找 Instagram leads 的 email","body":"仅有 Instagram 用户名无法直接开展 B2B outreach。通过 Datablist 的瀑布式 email finder 处理粉丝列表，查找经过验证的工作 email。","ctaLabel":"批量查找 Email","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"大规模抓取且不会导致账号被封","body":"传统工具迫使您拿一个 Instagram 账号去承受反抓取算法的风险。Datablist 的服务器端引擎可彻底消除账号风险。","ctaLabel":"Instagram 粉丝抓取文档","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Instagram 粉丝抓取工具对比","INTRO":"其他工具不是在您当前的浏览器中自动执行点击，就是要求粘贴敏感的会话 Cookie。Datablist 是唯一在隔离的云端基础设施上执行抓取的平台。","HEADERS":["工具","IG 账号","所需信息","价格","每位粉丝成本","数据丰富"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"从不连接账号","needs":"主页 URL 或 @用户名","cost":"$$25/月或免费试用","perFollower":"$$0.0001（0.01 credits）","enrichment":"Email 和电话瀑布式查询","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"存在风险","needs":"您的会话 Cookie（sessionid）","cost":"$$69/月","perFollower":"按时间计费（约 $0.003）","enrichment":"需要单独的 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只提取任何未登录访客都能看到的数据，不会绕过私密主页限制。"},{"question":"会提取哪些数据？我可以查找 email 地址吗？","answer":"这款免费工具会返回用户 ID、用户名、全名、主页 URL、账号隐私状态和认证状态。未知的隐私或认证值将保持未指定状态。提取后，您可以让抓取到的用户名依次通过 Datablist 的瀑布式 Email 和电话查找工具，在 15+ 家数据提供商中查找经过验证的联系信息。"},{"question":"使用 Datablist 抓取 Instagram 粉丝需要多少钱？","answer":"抓取粉丝的费用为每位粉丝 0.01 credits（每个 credit 可抓取 100 位粉丝）。注册免费的 Datablist 账号即可获得 500 个免费 credits（足以抓取 50,000 位粉丝）。付费套餐 $25/月起，包含 5,000 个 credits（可抓取 500,000 位粉丝），且 credits 永不过期。"}]}},"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 粉丝","DESCRIPTION":"Instagram 主页 URL、用户名或 @用户名","PLACEHOLDERS":["https://www.instagram.com/nike/ 或 @nike"],"ROW_LABEL":"Instagram 主页","REMOVE_ROW":"移除主页","ADD_ROW":"添加主页","ROW_LIMIT":"每次可处理一个主页并抓取最多 100 位粉丝。","EMPTY":"输入 Instagram 主页即可开始","READY_ONE":"1 个主页已就绪","READY_MANY":"{count} 个主页已就绪","FIND_ONE":"抓取粉丝","FIND_MANY":"抓取粉丝","SAMPLE_BUTTON":"查看示例结果","SAMPLE_NOTICE":"包含虚构粉丝的演示示例。此预览在您的浏览器中运行，不消耗 credits。","REJECTED_ONE":"无法使用此主页，请检查格式。","REJECTED_MANY":"无法使用 {count} 个输入，请检查其格式。","OVERFLOW":"您粘贴了 {count} 个主页。这款免费工具一次只能处理一个。","PROCESS_ALL":"在 Datablist 中抓取全部 {count} 个主页","NO_MATCH":"未返回此主页的任何粉丝。","COPY_ROW":"复制 {name} 的主页 URL","START_OVER":"重新开始","COPY_ALL":"复制 CSV","DOWNLOAD_CSV":"下载 CSV","COPY_ERROR":"复制失败。请重试或下载 CSV。","PRIVACY":"您的输入和结果会在此浏览器中保留 24 小时。为了完成和支持此次运行，Datablist 会将任务数据保留更长时间。","UNAVAILABLE":"这款免费工具暂时不可用。您仍可使用 Datablist 应用。","QUOTA_REACHED":"您已用完这款免费工具的每日配额。请在 {hours} 小时 {minutes} 分钟后回来，或前往 Datablist 继续操作。","QUOTA_RUN_TOO_LARGE":"此次抓取超出您今天的剩余配额。请在 {hours} 小时 {minutes} 分钟后回来。","QUOTA_REMAINING":"今天剩余 {remaining}/{limit} credits","QUOTA_REDUCE":"今天剩余 {remaining} credits。请等待每日配额重置。","QUOTA_WAIT":"今日配额已用完。请在 {hours} 小时 {minutes} 分钟后回来。","CHALLENGE_REQUIRED":"请先完成验证，再抓取粉丝。","RUN_FAILED":"抓取未能完成。下方已显示所有可用的粉丝数据。","SUBMISSION_UNKNOWN":"我们正在检查您的抓取任务是否已启动。请重新加载以查看状态；请勿重复提交。","RETRY_STATUS":"目前无法检查抓取状态。请重新加载此页面后重试。","EXPIRED":"这些结果已无法在此浏览器中查看。","BANNER":"在 Datablist 中抓取更大的粉丝列表并丰富数据。注册即获 500 个免费 credits，无需信用卡。","BANNER_CTA":"获取 500 个免费 credits","RESULT_CTA":"在 Datablist 中抓取更大的粉丝列表。","RESULT_CTA_BUTTON":"打开 Datablist","HISTORY_TITLE":"您最近的抓取任务","HISTORY_DESCRIPTION":"您可以在 24 小时内通过此浏览器打开或移除抓取任务。在此处移除任务不会停止抓取或退还 credits。","HISTORY_REMOVE":"从此浏览器中移除 {name}","HISTORY_COMPLETE":"已完成","HISTORY_FAILED":"需要处理","HISTORY_ATTENTION":"正在检查状态","HISTORY_RUNNING":"进行中","DEBUG_NOTICE":"来自 Beta 版操作的调试结果。这些是测试数据。","LABEL":"Instagram 主页 URL、用户名或 @用户名","PLACEHOLDER":"https://www.instagram.com/cristiano/ 或 @nike","SCRAPE":"抓取粉丝","SCRAPING":"正在抓取","SAFETY":"无需 Instagram 登录信息、Cookie 或密码。我们绝不会连接您的账号。","SAMPLES":"或试用示例：","ERRORS":{"EMPTY":{"REASON":"请输入 Instagram 主页 URL、用户名或 @用户名。"},"USERNAME":{"REASON":"请输入有效的 Instagram 用户名。"},"TOO_LONG":{"REASON":"Instagram 用户名不能超过 30 个字符。"},"CHARACTERS":{"REASON":"用户名包含无效字符。","HINT":"Instagram 用户名只能包含字母、数字、句点和下划线。"},"RESERVED_HANDLE":{"REASON":"“{value}”是 Instagram 系统页面，并非用户主页。"},"BAD_URL":{"REASON":"这似乎不是有效的 URL 或用户名。","HINT":"请输入 Instagram 主页链接（例如 https://www.instagram.com/cristiano/）或 @用户名（@cristiano）。"},"WRONG_SITE":{"REASON":"这是 {value} 的链接，并非 Instagram 链接。","HINT":"请提供 Instagram 主页链接（例如 instagram.com/username）或 @用户名。"},"HOMEPAGE":{"REASON":"这是 Instagram 首页，并非具体主页。","HINT":"请粘贴末尾带用户名的主页 URL，例如 instagram.com/nike/。"},"POST":{"REASON":"这是单条 Instagram 帖子或 Reels 短视频的链接，并非主页。","HINT":"如需抓取粉丝，请打开作者的主页并复制该 URL。"},"STORY":{"REASON":"这是 Instagram Story 链接。","HINT":"Story 是临时内容，没有公开的粉丝列表。请粘贴创作者的主页 URL。"},"EXPLORE":{"REASON":"这是 Instagram 标签或探索页面，并非主页。","HINT":"请输入创作者、品牌或网红的主页 URL，以抓取其粉丝。"},"SYSTEM_PAGE":{"REASON":"该链接指向 Instagram 系统页面，并非用户主页。"},"PROFILE_USERNAME":{"REASON":"此 URL 中的主页用户名无效。","HINT":"请检查 URL 是否符合 https://www.instagram.com/username/ 格式。"}},"SCRAPE_ERROR":"抓取未完成。请稍后重试。","RESULTS":"以下是 @{handle} 的前 {count} 位粉丝，免费提供。","USER":"用户","USER_ID":"用户 ID","ACCOUNT_PRIVACY":"隐私状态","PROFILE":"主页","ID":"ID：{id}","VERIFIED":"已认证","PRIVATE":"私密","PUBLIC":"公开","VIEW":"查看","COPIED":"已复制","COPY":"复制","DOWNLOAD":"下载 CSV","SCRAPE_FULL":"抓取完整列表","RESULT_NOTE":"免费预览会显示 {count} 位粉丝，但不包含联系方式。如需批量抓取最多 2,000,000 位粉丝，并通过 email 和电话查找工具进行瀑布式查询，请使用 Datablist 的","SOURCE_LABEL":"Instagram 粉丝抓取工具","CSV_HEADER":"用户 ID,用户名,全名,已认证,私密,主页 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lead URL。"},{"step":2,"title":"在此处粘贴 URL","body":"将 URL 粘贴到上方输入框。处理前，我们会自动移除追踪参数（如 trk 和 lipi）。全程无需登录信息、密码、Chrome 扩展程序或会话 Cookie。"},{"step":3,"title":"获取结构化个人资料详情","body":"数据提取在 Datablist 的专用基础设施上运行，与您的个人 LinkedIn 账户完全隔离。您将获得整洁的结构化数据，包括姓名、Headline、个人简介、当前雇主的公司特征、过往工作经历和教育背景。"}],"CTA":{"TITLE":"免费批量抓取 20 份个人资料","BODY":"免费 Datablist 账户初始包含 500 credits。上传 CSV，几分钟内即可丰富完整名单。","LABEL":"创建免费账户"}},"DATA":{"TITLE":"可从每份 LinkedIn 个人资料中获取哪些数据","ITEMS":[{"icon":"UserCheck","title":"身份与所在地","description":"用于准确识别潜在客户和细分受众的核心个人数据。","fields":["名字","姓氏","全名","Headline","关于 / 简介","城市、州/省和国家","国家代码（ISO-2）"]},{"icon":"Database","title":"当前职位与公司特征","description":"通过详细的雇主数据评估 ICP 匹配度，并支持精准的 outbound 消息。","fields":["职位名称","公司名称","公司 LinkedIn URL","公司网站","行业","员工人数范围","任职开始日期与时长","职位描述"]},{"icon":"BriefcaseIcon","title":"职业与工作经历","description":"最多可获取两个过往职位的详情。","fields":["两个过往职位名称","过往公司名称","任职时长与日期","职位描述与工作成就"]},{"icon":"Layers","title":"教育背景与语言","description":"可用的教育和语言详情。","fields":["大学 / 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会连接我的 LinkedIn 账户或使用会话 Cookie 吗？","answer":"不会。Datablist 从不连接您的 LinkedIn 账户，也绝不会要求您提供密码或会话 Cookie（li_at）。所有抓取任务都完全在我们的专用云基础设施上运行，并使用公开的个人资料数据，彻底消除账户受限或被封禁的风险。"},{"question":"我能为抓取到的个人资料查找经过验证的工作 email 吗？","answer":"可以。在 Datablist 中，您可以通过覆盖 20+ 家数据提供商的 Waterfall Email Finder，逐级使用抓取到的姓名和公司域名来查找并验证 email 地址，并且只需为确认匹配的结果支付 credits。"},{"question":"每份 LinkedIn 个人资料会提取哪些数据？","answer":"该工具会返回可用的身份信息、Headline、简介、所在地、语言、联系人数量、当前职位、最多两个过往职位以及第一条教育经历。缺失字段将保持为空。不包含技能、图片和 URN。"},{"question":"我可以批量抓取 LinkedIn 个人资料并使用 Sales Navigator URL 吗？","answer":"可以。Datablist 支持标准 LinkedIn 个人资料 URL 和 Sales Navigator lead URL。您可以上传包含数千个链接的 CSV 来批量抓取个人资料，速度约为 3 分钟处理 1,000 份资料。"},{"question":"使用 Datablist 抓取个人资料需要多少费用？","answer":"每份个人资料的抓取成本为 25 credits（缓存数据为 20 credits）。每个免费账户注册时均可获得 500 个免费 credits（足够抓取 20 份完整资料）。付费套餐起价为每月 $25，包含 5,000 credits，且 credits 永不过期。"},{"question":"此工具可以返回缓存的个人资料数据吗？","answer":"可以。此免费工具支持缓存的个人资料。数据可能不完整或已过时。如有可用数据，工具将返回一个当前职位、最多两个过往职位和一条教育经历；不会返回技能、个人头像或 LinkedIn URN。每次运行会从您每个会话和 IP 每日 25 credits 的额度中预留 25 credits。"}]}},"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. 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指向“{value}”。请粘贴 LinkedIn 个人资料链接。"},"COMPANY":{"REASON":"这是公司或机构页面，不是个人资料。","HINT":"如需抓取个人信息，请粘贴格式为 linkedin.com/in/username 的个人资料 URL"},"SEARCH":{"REASON":"这是搜索结果 URL，不是个人资料 URL。","HINT":"如需抓取搜索结果，请试用我们的免费 Sales Navigator 抓取工具。使用此工具时，请点击某份个人资料并粘贴其个人链接。"},"POST":{"REASON":"这是 LinkedIn 动态帖子或文章，不是个人资料。","HINT":"请点击作者姓名查看其个人资料，然后复制并粘贴个人资料 URL。"},"PATH":{"REASON":"无法识别 LinkedIn 个人资料路径。","HINT":"请粘贴符合 linkedin.com/in/username 格式的个人资料链接或 Sales Navigator lead URL。"}},"VERIFIED_PROFILE":"已验证的个人资料","SCRAPED_CLEAN":"个人资料数据","ENRICHMENT_LABEL":"LinkedIn 个人资料抓取工具","RESULT_NOTE_SUFFIX":"批量数据丰富功能。","DEBUG_NOTICE":"来自 beta 操作的调试结果。这些是测试数据，并非对所提交人员的查询结果。","CHANGED":"已更改","UNCHANGED":"未更改","CSV_HEADER_LINE":"全名|名字|姓氏|Headline|职位名称|公司名称|公司网站|公司 LinkedIn URL|行业|员工人数范围|城市|州/省|国家|国家代码|标准化个人资料 URL|简介|过往经历 1 职位|过往经历 1 公司|过往经历 1 日期|过往经历 2 职位|过往经历 2 公司|过往经历 2 日期|教育经历学校|教育经历学位|语言|主要技能"}},"UseCaseAiScraping":{"PAGE_TITLE":"无需代码的 AI Web Scraping","PAGE_DESC":"用一个简单的 prompt（提示词）即可抓取成千上万的网站。Datablist 的 AI 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Scraping 解锁数据世界","USECASES_LEADGEN_TITLE":"强力提升你的 Lead Generation（获客）","USECASES_LEADGEN_CONTENT_1":"超越基础的企业特征数据（firmographics）。使用 AI Agent 抓取公司网站上的案例研究、所用技术或最新新闻。","USECASES_LEADGEN_CONTENT_2":"这些丰富的上下文数据为高度个性化且高转化的 outreach 活动提供完美燃料。","USECASES_MARKET_TITLE":"自动化市场与竞品研究","USECASES_MARKET_CONTENT_1":"不再把数小时浪费在手动调研上。自动监控竞品网站的产品更新、价格变动或新职位发布。","USECASES_MARKET_CONTENT_2":"从 Trustpilot 或 Trusted Shops 等网站收集用户评价，用于情感分析并识别市场趋势。","USECASES_ECOMMERCE_TITLE":"电商与产品监控","USECASES_ECOMMERCE_CONTENT_1":"轻松抓取任意电商网站的商品列表。提取名称、价格、SKU、描述与用户评价。","USECASES_ECOMMERCE_CONTENT_2":"盯紧对手库存，监控定价策略，或为你的平台聚合商品数据。","BENEFITS_TITLE":"强大的 Web Scraping，简单易用","BENEFITS_NOCODE_TITLE":"No-Code 界面","BENEFITS_NOCODE_BODY":"无需编程技能。只要会写指令，就能抓取 Web。我们直观的界面让数据提取对所有人都触手可及。","BENEFITS_FLEXIBLE_TITLE":"灵活且可配置","BENEFITS_FLEXIBLE_BODY":"按需定制你的抓取任务。既可提取单一数据点，也可提取整套数据集。AI Agent 会适配你的具体需求。","BENEFITS_SCALABLE_TITLE":"可扩展与自动化","BENEFITS_SCALABLE_BODY":"从小型任务到海量数据采集项目，我们的 AI Agent 与你一同扩展。可设置周期性抓取，让你的数据自动保持新鲜与同步更新。","BENEFITS_PRECISE_TITLE":"精确且结构化的输出","BENEFITS_PRECISE_BODY":"以干净、有序的格式获取所需数据。AI Agent 将结构化结果直接写入电子表格，随时用于分析或导出。","SEE_ALSO":"另请参阅","VIDEO_TITLE":"观看 AI Scraping 实际演示","VIDEO_TEXT":"观看如何用一个简单的 prompt（提示词）在一分钟内构建自定义的 lead scoring 模型。无需公式，无繁琐设置。"},"UseCaseDataCleaning":{"PAGE_TITLE":"数据清洗，自动化。","PAGE_DESC":"Datablist 提供强大且易上手的工具集，用于去重、标准化与丰富你的数据，把混乱变为清晰。","USE_CASE":"应用场景","HERO_TITLE":"数据清洗，自动化。","VIDEO_TITLE":"No.1 无代码（No-Code）数据清洗工具","VIDEO_TEXT":"几次点击即可提取、转换并清洗数据。无限制，彻底告别公式。","HERO_DESC":"别再与凌乱的电子表格和臃肿的 CRM 纠缠。Datablist 提供强大且易用的工具集，用于去重、标准化与丰富你的数据，把混乱变为清晰。","MASTER_TITLE":"从杂乱数据到可执行洞察","MASTER_BODY":"不准确的数据会消耗时间和成本。无论来源于多个 leads 渠道、web scraping 的网页内容，还是不同团队的录入，混乱数据都会导致营销活动失败与糟糕决策。Datablist 是你的数据中枢，可在规模化场景清洗、合并并标准化你的列表，确保数据始终可靠、随时可用。","DEDUPE_CRM_TITLE":"智能去重你的 CRM 与列表","DEDUPE_CRM_CONTENT_1":"你的 CRM 是权威数据源，但重复记录会让它不可靠。“John Smith”“Jon Smith”，“Example Inc.” 与 “Example LLC” 这样的差异会制造混淆。Datablist 超越简单匹配。","DEDUPE_CRM_CONTENT_2":"我们的高级算法（模糊、语音与智能匹配）可发现并合并相似的人物与公司，在不丢失关键信息的前提下整合其数据。几分钟内清理你的 Pipedrive、HubSpot 或任意 CRM 导出。","MERGE_TITLE":"跨多个文件整合数据","MERGE_CONTENT_1":"你的 leads 分散在三个不同表格里，客户数据在另一个表里。如何在不产生更多重复的前提下合并？手动合并既慢又容易出错。","MERGE_CONTENT_2":"Datablist 让这一切变得简单。导入所有列表，设置一个唯一标识符（如 email 或网站），交给我们的工具去合并记录。我们会把来自多源的数据统一到一个干净的主列表中。","NORMALIZE_TITLE":"一键标准化与规范化数据","NORMALIZE_CONTENT_1":"不一致的数据基本不可用。电话格式各异、职位大小写混杂、URL 杂乱，都会阻碍有效筛选与自动化。逐行手动修复既枯燥又低效。","NORMALIZE_CONTENT_2":"使用 Datablist 的批量编辑工具，修正数据类型、统一大小写、去除多余空格，并在成千上万条记录中即时规范电话号码与 URL。设定标准，并一键应用到整个数据集。","CLEANING_GRID_TITLE":"完整的数据清洗工具箱","CLEANING_GRID_DESC":"将原始且杂乱的数据转化为有价值、井然有序的资产所需的一切。","GRID_DEDUPE_TITLE":"高级去重","GRID_DEDUPE_BODY":"通过智能、模糊与语音匹配算法发现并合并相似记录，这些是普通表格难以处理的。","GRID_MERGE_TITLE":"合并与整合列表","GRID_MERGE_BODY":"将多个 CSV 或 Excel 文件合并为单一主列表，使用唯一键来更新并整合记录。","GRID_FIX_TITLE":"修正数据类型","GRID_FIX_BODY":"轻松将文本字段转换为日期、数字或复选框等结构化数据，以便精准排序与筛选。","GRID_AI_TITLE":"AI 驱动的清洗","GRID_AI_BODY":"使用我们的 AI Editing 工具，从简单的文本 prompt 生成自定义脚本。无需写代码即可处理复杂清洗任务。","GRID_ENRICH_TITLE":"丰富并补全数据","GRID_ENRICH_BODY":"通过补充缺失数据来完善记录。查找公司域名、验证 email，并获取档案信息。","GRID_CONSOLIDATE_TITLE":"合并字段值","GRID_CONSOLIDATE_BODY":"合并重复记录中的冲突数据。将多个电话号码或备注整合为一条干净记录，且不丢失信息。","LEARN_MORE":"了解更多","SEE_ALSO":"相关内容"},"UseCaseInventoryManagement":{"PAGE_TITLE":"自动化您的电商库存管理","PAGE_DESC":"别再把时间浪费在手工更新上。使用我们强大的 no-code 平台，自动获取、清洗、翻译并同步供应商目录到所有销售渠道。","USE_CASE":"使用场景","HERO_TITLE":"自动化您的电商库存管理","HERO_DESC":"别再把时间浪费在手工更新上。使用我们强大的 no-code 平台，自动获取、清洗、翻译并同步供应商目录到所有销售渠道。","INTRO_TITLE":"从杂乱目录到完美商品列表","INTRO_BODY":"管理来自多个供应商的产品数据往往是一场格式不一致、重复条目与无尽手工修正的噩梦。Datablist 将这种混乱转化为精简的自动化 workflow，确保您的库存始终准确、最新，并完美适配任意电商平台。","VIDEO_TITLE":"观看 AI 编辑实操","VIDEO_TEXT":"只需一个简单的 prompt 即可更新目录中的单位。无需公式，无需折腾。","FETCH_TITLE":"自动获取供应商目录","FETCH_CONTENT_1":"告别手动下载和杂乱的 email 附件。配置自动导入器，从任何来源（URL、FTP 服务器或 API）获取目录文件。按天、按周或按月定时更新，确保数据始终新鲜。","FETCH_CONTENT_2":"我们的智能 web scraping 工具可直接从供应商网站提取产品数据，让最新信息源源不断地自动流入，无需人工干预。","TRANSFORM_TITLE":"用 AI 转换并标准化数据","TRANSFORM_CONTENT_1":"供应商数据很少能直接用于您的店铺。使用我们的 no-code 清洗工具套件，标准化品类、去除品牌名中的法律后缀（如 Inc., Ltd. 等）、格式化价格，并合并重复项。","TRANSFORM_CONTENT_2":"通过 AI 驱动的转换更进一步：自动生成有吸引力的产品描述，为国际市场翻译内容，并确保每条上架信息都为转化优化。","SYNC_TITLE":"同步到任意电商平台或 Marketplace","SYNC_CONTENT_1":"当数据完成清洗与标准化后，将其推送到所有销售渠道。Datablist 可无缝为任意目的地准备目录，包括 Shopify、WooCommerce、Amazon 等。","SYNC_CONTENT_2":"我们的系统为每次同步提供清晰的状态更新，并对失败尝试自动重试。以一个可靠的单一真实数据源管理整个多渠道运营。","BENEFITS_TITLE":"自动化库存 workflow 的力量","BENEFITS_SCALE_TITLE":"轻松处理海量目录","BENEFITS_SCALE_BODY":"轻松管理数十万、甚至数百万商品条目。我们的平台为高性能与可扩展性而构建。","BENEFITS_FLEXIBLE_TITLE":"灵活、易于配置","BENEFITS_FLEXIBLE_BODY":"我们直观的 no-code 界面让你在几分钟而非数周内搭建复杂的数据转换 workflow，无需开发人员参与。","BENEFITS_RELIABLE_TITLE":"可靠且全自动","BENEFITS_RELIABLE_BODY":"一次配置 workflow，持续自动运行。借助清晰的状态跟踪与可重试的同步，你可以放心数据始终在该在的位置。","BENEFITS_COST_TITLE":"高性价比的强大能力","BENEFITS_COST_BODY":"采用按点数计费（credit-based）的方式，按用量付费。以传统方案一小部分成本，获得企业级自动化。","TRANSLATE_TITLE":"为全球市场翻译产品目录","TRANSLATE_CONTENT_1":"借助 Datablist 的 AI 自动翻译产品目录，拓展电商业务至国际市场。不止于直译，通过本地化产品名称以匹配当地客户的真实搜索习惯。","TRANSLATE_CONTENT_2":"我们的 AI 会保留描述与规格中的关键 HTML 和 JSON 结构，避免在回传到 Shopify、WooCommerce 等平台时出现技术错误。这个强大的 no-code 方案，帮助你以远低于传统工具的成本实现全球化扩张。","TRANSLATE_CTA":"如何翻译产品目录","FILTER_TITLE":"无论规模大小，深入筛选任何目录","FILTER_CONTENT_1":"别再为库存规模拖垮表格工具而苦恼。Datablist 可处理高达 150 万条目的超大产品目录，能力远超 Airtable 或 Google Sheets 等工具的限制。","FILTER_CONTENT_2":"借助强大的筛选工具，快速精准定位所需。通过 AND/OR 逻辑与筛选分组实现高级查询，远不止简单搜索。追求极致精度时，可使用正则表达式（Regular Expressions），按 SKU、标题或描述中的特定模式查找产品。","FILTER_CONTENT_3":"不必重复劳动。你可以将任意复杂筛选保存为自定义 \"Segment\"，便于后续快速调用。这些已保存的筛选非常适合创建“新品”或“促销”等动态列表，并会自动与团队共享，确保大家基于同一视图协作。","SEE_ALSO":"相关内容"},"UseCaseLeadBuilding":{"PAGE_TITLE":"面向增长团队的 leads 构建","PAGE_DESC":"深入挖掘海量 leads 列表的最佳工具。组织、富化并找到理想的目标客户。","HERO_TITLE":"面向增长团队的 leads 列表构建","USE_CASE":"使用场景","HERO_DESC":"深入挖掘海量 leads 列表的最佳工具。组织、富化并找到理想的目标客户。","MASTER_TITLE":"管理海量 leads","MASTER_BODY":"Datablist 专为管理数百万条数据而设计。定义你的 Lead 数据结构，在这个开放且对技术友好的平台上尽情操作你的数据。通过类表格界面组织你的 leads，或使用我们的 API 构建复杂数据平台。从高容量的 leads 列表中，发现值得联系的高质量 leads。","CRM_TITLE":"在你的 Sales CRM 上游构建 leads 列表","CRM_CONTENT_1":"CRM 工具非常适合跟踪已互动的潜在客户（engaged prospects），但并不适用于管理几十万条 leads。你的增长团队需要一个上游的数据存储来整合和管理海量 leads。","CRM_CONTENT_2":"把冷 leads 存进 CRM 会污染系统，还可能带来高昂账单。","DATABASE_TITLE":"别再把 leads 存在自建数据库里","DATABASE_CONTENT_1":"你是否把 leads 存在自建数据库、Excel、Airtable 或数据仓库中？选择其中任意一种都意味着取舍：要么灵活性优先于可扩展性，要么复杂性压倒简洁性。","DATABASE_CONTENT_2":"Datablist 兼具自建数据库的能力与 Airtable 的灵活性，让你在不妥协的前提下节省时间与成本。","NOCODE_TITLE":"易用且对技术友好的工具","NOCODE_CONTENT_1":"用类表格界面管理你的 leads。强大的筛选与搜索可在数秒内浏览数十万条 leads。","NOCODE_CONTENT_2":"在 Datablist 中，CSV 是一等公民。导入大型 CSV，并用唯一标识符进行关联，快速生成你的 leads 列表。数据始终归你所有。一键将 leads 导出为 CSV，与其他工具配合使用。","NOCODE_CONTENT_3":"想更进一步？通过与开放 API 连接的无服务器（serverless）函数来自动化你的数据流。","CENTRALIZE_TITLE":"将所有 lead 来源集中到一个数据存储中","CENTRALIZE_SCRAPING_TITLE":"你的 web scraping 目的地","CENTRALIZE_SCRAPING_CONTENT_1":"从外部来源提取数据并存入你的数据存储。","CENTRALIZE_SCRAPING_CONTENT_2":"从社交网络（LinkedIn、Facebook、Xing）、商业目录（Crunchbase、AngelList）、在线社区等渠道进行 web scraping，获取 leads。","CENTRALIZE_NEWSLETTER_TITLE":"Newsletter 订阅者","CENTRALIZE_NEWSLETTER_CONTENT_1":"跟踪并富化你的邮件列表订阅者数据，发掘高价值潜客。","CENTRALIZE_NEWSLETTER_CONTENT_2":"利用邮件列表的 webhooks 获取使用数据，识别已互动的 leads。","CENTRALIZE_SIGNUP_TITLE":"富化你的新用户数据","CENTRALIZE_SIGNUP_CONTENT_1":"识别使用一次性或企业 email 地址的用户。自动富化新用户，找到其 LinkedIn 个人资料，并与高潜力用户互动。","CENTRALIZE_SIGNUP_CONTENT_2":"连接你的产品使用数据，搭建客户数据平台（CDP）。","CENTRALIZE_MAGNET_TITLE":"存储 Lead Magnet 下载","CENTRALIZE_MAGNET_CONTENT_1":"将白皮书下载、网络研讨会（webinar）及线下活动获得的新 leads 统一存入一个列表。","CENTRALIZE_MAGNET_CONTENT_2":"可手动富化，或使用我们集成的 Enrichment API 自动补全，识别商机。","ENRICH_TITLE":"清洗并富化你的 leads","ENRICH_COMPANIES_TITLE":"富化公司与个人资料","ENRICH_COMPANIES_BODY":"通过集成的富化服务获取完整的资料信息。可由 email 地址反查 LinkedIn 账号，或由 leads 的姓名反查 email 地址。可从任意服务进行规模化富化，或接入你自有的服务。","CLEAN_TITLE":"清洗你的数据","CLEAN_BODY":"借助 Datablist 的读写型数据存储保持数据新鲜。使用我们的数据清洗功能批量清理 leads。校验 email 地址，识别一次性邮箱提供商，并将其从你的营销活动中排除。","DEDUPLICATE_TITLE":"去重你的 leads","DEDUPLICATE_BODY":"使用 Datablist Duplicates Finder 一键移除重复的 leads。选择一个或多个字段即可自动去重。借助 Datablist Merge Assistant 合并冲突数据。","MERGE_TITLE":"为每条 lead 创建唯一档案","MERGE_BODY":"基于 lead 的 email 地址或公司官网定义唯一性，为每条 lead 创建唯一档案。用这些唯一属性更新你的 lead 数据，或整合外部列表。","SEE_ALSO":"相关内容","DATA_SOURCES":"数据与 leads 来源","DATA_SOURCES_DESCRIPTION":"用我们强大的内置 lead 来源加速你的 pipeline！","AI_RESEARCH_AGENT":"AI Research Agent","AI_RESEARCH_AGENT_DESCRIPTION":"用一个简单的 prompt，即可对你的条目进行规模化研究，或设置自动化 Google 搜索。","ENRICHMENTS":"富化","ENRICHMENTS_DESCRIPTION":"用我们易用的富化功能打造强大的 workflow"},"IndustryRecruiting":{"PAGE_TITLE":"更智能的招聘，从这里开始","PAGE_DESC":"面向招聘机构的必备无代码平台。可抓取职位信息、丰富公司数据，并找到招聘负责人/用人经理的直接联系方式。","HERO_TITLE":"更智能的招聘，从这里开始","INDUSTRY_LABEL":"行业","HERO_DESC":"面向招聘机构的必备无代码平台。可抓取职位信息、丰富公司数据，并找到招聘负责人/用人经理的直接联系方式。","WHY_DATABLIST_TITLE":"别再苦搜，开始促成入职","WHY_DATABLIST_BODY":"人工寻源（sourcing）缓慢、重复且结果不稳定。Datablist 自动化处理获取新客户与候选人最繁琐的环节，让你专注于真正擅长的工作：建立关系并促成入职/成单。","FIND_JOBS_TITLE":"挖掘每一个招聘机会","FIND_JOBS_CONTENT_1":"不错过任何 leads（线索）。使用我们的 AI Scraper，从 LinkedIn、Indeed 等任意招聘网站，或你的目标公司列表中的招聘页面，批量提取职位发布。","FIND_JOBS_CONTENT_2":"轻松构建与你关键词与专业领域匹配的实时在招职位数据库，为你持续带来高质量的客户 leads。","FIND_CONTACTS_TITLE":"直达真正的决策者","FIND_CONTACTS_CONTENT_1":"职位发布只是开始。Datablist 通过数据丰富（enrichment）完善公司画像，找出头衔背后的人。识别目标公司中的部门负责人、团队 lead、用人/招聘经理。","FIND_CONTACTS_CONTENT_2":"按职位、部门或职级对名单进行细分，确保你的 outreach 始终触达拥有用人决策权的人。","GET_DETAILS_TITLE":"即时直连，直达对方","GET_DETAILS_CONTENT_1":"别再为查找联系方式浪费时间。我们强大的 waterfall enrichment（瀑布式数据丰富）可为你的目标联系人找到经过验证的专业 email 地址与电话号码。","GET_DETAILS_CONTENT_2":"凭借更高的成功率与高性价比的点数（credit）计费模型，你可以比以往更快、更经济地构建可执行的联系人名单。","BENEFITS_TITLE":"为你的机构带来不对称优势","EASY_USE_TITLE":"几分钟即可上线","EASY_USE_BODY":"借助直观、类表格的界面即刻上手。无需技术背景即可搭建强大的寻源 workflow。","FLEXIBLE_TITLE":"你的 workflow，你来定义","FLEXIBLE_BODY":"从抓取目标到数据丰富序列，每一步都可自定义。Datablist 适配你的独特寻源策略，而不是让你去迁就工具。","COST_EFFECTIVE_TITLE":"按需付费的强大能力","COST_EFFECTIVE_BODY":"我们的点数（credit）体系意味着只为实际使用付费。无论是独立招聘顾问还是大型团队，各类机构都适用。","ALL_IN_ONE_TITLE":"一处搞定一切","ALL_IN_ONE_BODY":"从抓取与清洗，到丰富与导出，一站式完成。无需来回切换多个工具，就能管理你面向客户与候选人的全数据流程。","SEE_ALSO":"另请参阅","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"用一个简单的 prompt，就能从任意网站提取结构化数据。非常适用于招聘网站、公司页面等场景。","ENRICHMENTS":"数据丰富","ENRICHMENTS_DESCRIPTION":"使用我们易用的公司与联系人数据丰富，打造强大的 workflow。","FAQ_Q1":"Datablist 如何发现职位空缺？","FAQ_A1":"我们的 Job Postings Scraper 可扫描 19+ 个主流招聘网站（含 Indeed、Glassdoor）。你也可以使用 AI Agent 自动抓取特定公司的招聘页面或垂直/小众招聘板块，持续获得新的客户机会。","FAQ_Q2":"如何找到用人/招聘经理的联系方式？","FAQ_A2":"当你有了一份公司清单后，我们的 Waterfall People Search enrichment 将定位这些组织中的合适联系人。你可以按职位、职级或部门搜索，精准找到决策者。","FAQ_Q3":"联系方式是否准确并已验证？","FAQ_A3":"是的。我们的 Waterfall Email Finder 与 Phone Finder 会查询多个数据提供方，找到已验证的专业 email 地址与直拨电话号码。多源策略相比单一供应商工具能显著提升成功率。","FAQ_Q4":"使用你们的抓取工具会危及我的 LinkedIn 账号吗？","FAQ_A4":"不会。与浏览器扩展不同，我们的抓取在云端运行，不需要你的个人 LinkedIn 凭据，可让你的账号 100% 远离限制或封禁风险。","FAQ_Q5":"价格如何？","FAQ_A5":"Datablist 采用灵活的按需付费点数（credit）体系。你只为获得的数据付费。举例来说，充值 20 美元的点数就足以抓取数千条职位发布。此模式适用于任意规模的机构，让你无需大额前期投入即可扩展寻源。","FAQ_Q6":"我能按特定行业或地区定向职位吗？","FAQ_A6":"可以。我们的职位抓取包含高级筛选器，可按关键词、行业、公司规模、地区与职级进行定向。你甚至可以排除招聘机构，仅聚焦直聘企业。","FAQ_Q7":"我的候选人名单很混乱，Datablist 能帮我清洗吗？","FAQ_A7":"当然可以。Datablist 内置强大的数据清洗与去重工具。你可以轻松合并来自不同来源的重复联系人、规范职位名称，并在无需复杂公式的情况下完成数据格式化。","FAQ_Q8":"我能把寻源流程自动化吗？","FAQ_A8":"可以。你可以将职位抓取设置为按日、按周或按月运行。Datablist 会自动发现符合你条件的新职位发布，持续为你提供新鲜的 leads。"},"IndustryVentureCapital":{"PAGE_TITLE":"现代 VC 的操作系统","PAGE_DESC":"借助 AI 驱动的数据平台，发现、筛选并跟踪成千上万家初创公司。告别杂乱的电子表格和僵硬的 CRM。用 Datablist 搭建你的 deal flow（项目流）引擎。","INDUSTRY_LABEL":"行业","HERO_TITLE":"现代 VC 的操作系统","HERO_DESC":"借助 AI 驱动的数据平台，发现、筛选并跟踪成千上万家初创公司。告别杂乱的电子表格和僵硬的 CRM。用 Datablist 搭建你的 deal flow（项目流）引擎。","WHY_DATABLIST_TITLE":"你的 CRM 并非为风投打造","WHY_DATABLIST_BODY":"CRM 是为销售 pipeline 设计的，不是为 deal flow（项目流）设计的。它们僵硬、昂贵，且难以跟踪你雷达上的成千上万家早期公司。Datablist 是一个灵活、可扩展的数据枢纽，专为应对风投的独特数据挑战而设计。","SOURCE_DEALS_TITLE":"在人人皆知之前先行获取项目","SOURCE_DEALS_CONTENT_1":"超越你的人脉和 inbound 请求。使用我们的 AI Scraper，从 ProductHunt、IndieHackers 及其他细分目录中挖掘潜力初创公司。","SOURCE_DEALS_CONTENT_2":"通过率先识别高潜公司，并在其进入主流之前跟踪新兴趋势，抢占先机。","TRACK_COMPANIES_TITLE":"跟踪增长信号，而不只是融资轮次","TRACK_COMPANIES_CONTENT_1":"融资是滞后性的成功指标。跟踪真正重要的实时增长信号。我们的招聘平台爬虫会识别哪些初创正在为关键岗位招聘——这清晰地表明了产品市场匹配（PMF）与规模化。","TRACK_COMPANIES_CONTENT_2":"监控招聘趋势以评估公司的发展轨迹，并据此做出数据驱动的投资决策。","SCORE_STARTUPS_TITLE":"用 AI 构建自定义评分模型","SCORE_STARTUPS_CONTENT_1":"别只凭直觉。使用我们的 AI Editing 工具构建强大的自定义评分算法。根据团队经验、技术 stack、市场信号以及你的专属标准对初创公司进行排序。","SCORE_STARTUPS_CONTENT_2":"系统化识别并将团队精力聚焦在 pipeline 中排名前 1% 的机会。","DILIGENCE_TITLE":"尽调与跟踪所需的一切工具","FEATURE_DATA_TITLE":"数据整合","FEATURE_DATA_BODY":"从多来源清洗、去重并合并数据到一个主清单，保持你的初创数据库干净可靠。","FEATURE_ENRICH_TITLE":"公司数据富化","FEATURE_ENRICH_BODY":"自动为公司画像补充 firmographics、技术 stack（技术栈）、网站数据等信息，获得 360 度全景视图。","FEATURE_CONTACTS_TITLE":"创始人 Outreach","FEATURE_CONTACTS_BODY":"借助我们的 Waterfall Enrichment（瀑布式富化），为创始人及关键高管找到已验证的 email 与电话，让你的首次触达更见成效。","FEATURE_API_TITLE":"API 与集成","FEATURE_API_BODY":"将 Datablist 连接到你的内部工具，并通过我们灵活、对开发者友好的 API 自动化整套数据 workflow。","SEE_ALSO":"相关内容","VIDEO_TITLE":"观看 AI Agent 实战","VIDEO_TEXT":"看看 AI Agent 如何访问一组初创公司网站，并提取结构化联系信息——这是传统爬虫难以完成的任务。","FAQ_Q1":"Datablist 与传统 CRM 有何不同？","FAQ_A1":"CRM 是为线性的销售流程（sales pipeline）而设计的，在跟踪成千上万笔潜在交易时会迅速变得臃肿。Datablist 是为风投 deal flow 的规模与复杂性打造的灵活数据枢纽，让你无需受制于销售 pipeline 的刚性，也能管理海量初创数据。","FAQ_Q2":"Datablist 能帮助我们挖掘新的初创公司吗？","FAQ_A2":"可以。你可以使用我们的 AI Agent 去爬取 ProductHunt、IndieHackers 等初创目录，在它们进入所有人雷达之前发现有潜力的公司，提前捕捉高潜 deal。","FAQ_Q3":"我们可以跟踪哪些增长信号？","FAQ_A3":"除了依赖融资公告，你还能跟踪实时增长指标。我们的招聘板爬虫会发现哪些初创正在为关键岗位积极招人，这是增长与产品市场匹配的强烈信号。","FAQ_Q4":"AI 评分模型如何工作？","FAQ_A4":"你可以用我们的 AI 工具构建自定义评分模型。由你来定义与你投资论点相关的标准——如团队经验、技术 stack 或市场趋势——AI 会生成脚本为 pipeline 中的每家初创打分排序，帮助你聚焦最优机会。","FAQ_Q5":"我们的数据又乱又分散在多个表格里。你们如何帮助？","FAQ_A5":"Datablist 在数据整合方面表现出色。你可以从多个来源导入数据，然后使用我们的工具进行清洗、去重与合并，将一切汇总到一个可靠的初创主清单中。","FAQ_Q6":"Datablist 如何处理成千上万家公司？会不会很慢？","FAQ_A6":"Datablist 天生面向大数据集管理，每个列表可处理高达 150 万条记录，远超电子表格或 Airtable 等工具的限制。你可以快速筛选、排序并管理成千上万家公司，而不会遇到性能问题。","FAQ_Q7":"你们能帮我们找到创始人的联系信息吗？","FAQ_A7":"可以。一旦你锁定了潜力初创，我们的 Waterfall Enrichment 工具即可为创始人和关键团队成员找到已验证的 email 地址与电话号码，让你的首次 outreach 更有效。","FAQ_Q8":"使用 Datablist 需要开发人员吗？","FAQ_A8":"不需要。Datablist 是一款 no-code 平台，拥有友好的电子表格界面。无需写代码，你就能从 sourcing 到 scoring 构建复杂的数据 workflows。"},"IndustryRetailAndECommerce":{"PAGE_TITLE":"简化您的零售与电商运营","PAGE_DESC":"轻松管理产品目录、供应商 Feed（数据源）和客户数据。Datablist 是面向零售与电商企业的灵活零代码（no-code）平台。","HERO_TITLE":"简化您的零售与电商运营","INDUSTRY":"行业","HERO_DESC":"轻松管理产品目录、供应商 Feed（数据源）和客户数据。Datablist 是面向零售与电商企业的灵活零代码（no-code）平台。","MASTER_TITLE":"您的电商数据中枢","MASTER_BODY":"告别多份电子表格与复杂数据库来回切换。Datablist 提供一个简单易用的平台，集中管理您的全部电商数据。我们的灵活零代码（no-code）界面与基于积分（credits）的定价，让各规模企业都具备出色的成本效益。","PRODUCT_CATALOG_TITLE":"整合并清洗您的产品目录","PRODUCT_CATALOG_CONTENT_1":"从任意来源导入产品数据，并整合为一个干净、统一的目录。我们强大的数据清洗工具可帮助您标准化单位、价格，甚至清理描述中的 HTML。","PRODUCT_CATALOG_CONTENT_2":"借助 Datablist，您可轻松管理成千上万的产品，确保数据始终准确、最新。","SUPPLIER_FEEDS_TITLE":"自动化您的供应商 Feed","SUPPLIER_FEEDS_CONTENT_1":"自动获取供应商的价格与库存 Feed，使库存保持同步。Datablist 可连接外部 API，轻松与供应商系统集成。","SUPPLIER_FEEDS_CONTENT_2":"通过自动化这一关键环节，节省时间并减少错误。","FEATURES_TITLE":"成功所需的一切","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"整合产品目录","CONSOLIDATE_PRODUCT_CATALOG_BODY":"将来自多个供应商与来源的产品数据合并为一个主目录。","CLEAN_DATA_TITLE":"清洗您的数据","CLEAN_DATA_BODY":"对产品信息进行标准化与清洗，包括单位、价格与 HTML，呈现一致且专业的体验。","TRANSLATE_PRODUCT_TITLE":"翻译产品信息","TRANSLATE_PRODUCT_BODY":"轻松翻译产品标题与描述，触达全球受众。","GENERATE_PRODUCT_TEXT_TITLE":"使用 AI 生成产品文案","GENERATE_PRODUCT_TEXT_BODY":"使用 AI 生成有吸引力的产品描述与其他文案，节省时间与精力。","SYNC_TO_EXTERNAL_APIS_TITLE":"同步至外部 API","SYNC_TO_EXTERNAL_APIS_BODY":"通过将数据同步到外部 API，与您的其他工具与系统集成。","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"获取供应商 Feed","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"通过获取供应商的最新价格与库存 Feed，自动更新产品信息。","AGGREGATE_ORDER_FEEDS_TITLE":"汇总订单 Feed","AGGREGATE_ORDER_FEEDS_BODY":"聚合所有渠道的订单 Feed，获得完整的销售视图。","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"管理客户与受众列表","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"保持客户与受众列表干净有序，更高效地开展营销活动。","FAQ_Q1":"我的产品数据很混乱，来自多家供应商且格式各不相同。Datablist 如何帮助？","FAQ_A1":"Datablist 正是为此而生。您可以将多份 CSV 或 Excel 文件中的产品数据导入到一个主目录。我们的 Duplicates Finder（重复项查找）会帮助您合并重复的产品条目，并且还能自动汇总如库存数量等数值字段。","FAQ_Q2":"Datablist 能在不破坏 HTML 或 JSON 格式的情况下翻译产品描述吗？","FAQ_A2":"可以。我们的 AI 驱动翻译器（使用如 ChatGPT 等模型）可处理复杂内容。您可以提供自定义指令，确保只翻译文本，同时保留所有 HTML 标签与 JSON 结构，非常适合电商目录。","FAQ_Q3":"我们的产品目录很大，电子表格经常崩溃。Datablist 能处理多少产品？","FAQ_A3":"电子表格难以应对大型数据集，而 Datablist 天生为规模而建。您可以轻松管理每个集合多达 150 万条记录的产品目录，远超 Airtable 或 Google 表格等工具的限制。","FAQ_Q4":"如何从 Shopify 或 WooCommerce 等平台导入我的目录？","FAQ_A4":"Shopify 与 WooCommerce 等电商平台支持将产品目录导出为 CSV 文件。您可将该 CSV 直接导入 Datablist，开始对数据进行清洗、富化或翻译。","FAQ_Q5":"我可以自动从供应商处获取价格与库存更新吗？","FAQ_A5":"可以。如果您的供应商通过 API 提供数据，您可以使用我们的“Import from a remote CSV or JSON file”（从远程 CSV 或 JSON 文件导入）数据源，自动获取并更新产品信息。这样无需人工操作即可保持库存与定价同步。","FAQ_Q6":"Datablist 是否适合同时管理多个客户目录的电商代理机构？","FAQ_A6":"完全适合。您可以为每位客户的产品目录创建独立集合，并按文件夹进行组织，便于管理。这让它成为您所有数据清洗与管理工作的集中高效中枢。","FAQ_Q7":"如何清理不一致的产品数据，比如价格或描述中的 HTML？","FAQ_A7":"Datablist 提供多种适用于产品目录的数据清洗工具。您可以将带 HTML 标签的文本转换为干净的纯文本，规范化使用不同分隔符的数字，去除多余空格，并统一文本大小写，确保数据一致。","FAQ_Q8":"AI 能帮助我撰写独特的产品描述吗？","FAQ_A8":"可以。您可以使用我们的“Ask ChatGPT”富化，基于产品特征生成有吸引力的产品描述。这既省时，又能规模化产出独特内容。"},"IndustrySaaSAI":{"PAGE_TITLE":"SaaS & AI 初创公司的 GTM 副驾驶","PAGE_DESC":"别再在杂乱的电子表格和昂贵的工具之间疲于奔命。Datablist 是您的一体化平台，用于获取、清洗并丰富 leads，让您专注于促成成交。","HERO_TITLE":"SaaS & AI 初创公司的 GTM 副驾驶","INDUSTRY_LABEL":"行业","HERO_DESC":"别再在杂乱的电子表格和昂贵的工具之间疲于奔命。Datablist 是您的一体化平台，用于获取、清洗并丰富 leads，让您专注于促成成交。","MASTER_TITLE":"更快打造您的销售引擎","MASTER_BODY":"作为初创公司，速度就是一切。您需要源源不断且合格的 leads，但搭建销售管道很耗时。Datablist 将从寻找潜在客户到个性化 outreach 的全流程进行简化，全部在一个易用的零代码平台上完成。","PROBLEM_TITLE":"问题在于 Lead Gen（获客），而不是您的产品","PROBLEM_CONTENT_1":"您在做 web scraping、购买名单、从 CRM 导出数据，但最终一团糟。电子表格崩溃、数据过时，团队把大量时间花在手动录入而不是销售上。","PROBLEM_CONTENT_2":"自建数据库消耗大量资源，而为不同工具付多份订阅费用很快就会变得昂贵。这种低效正在让您丢单。","SOLUTION_TITLE":"一个平台即可构建、清洗与丰富","SOLUTION_CONTENT_1":"Datablist 兼具数据库的能力与电子表格的简洁易用。它是一款为高速成长初创公司的 GTM 团队打造的灵活零代码工具。","SOLUTION_CONTENT_2":"整合所有 lead 来源，清理脏数据，用最新信息丰富联系人，并在无需写任何代码的情况下自动化您的 workflows。这是可灵活扩展、具成本优势的方案，助您规模化增长。","FEATURES_TITLE":"驱动增长所需的一切","GRID_SOURCE_TITLE":"获取高意向 leads","GRID_SOURCE_BODY":"不再局限于静态数据库。使用我们的 Job Board Scraper（职位板抓取器）发现正在招聘的公司——这清晰地表明他们有预算且有待解决的问题。每天获取新鲜 leads。","GRID_SCRAPE_TITLE":"AI 驱动的 scraping","GRID_SCRAPE_BODY":"构建竞争对手买不到的独特 lead 列表。我们的 AI Agent 可抓取任何网站，寻找细分数据、客户案例，或一家企业正在使用的特定技术。","GRID_PERSONALIZE_TITLE":"规模化个性化 outreach","GRID_PERSONALIZE_BODY":"别再群发千篇一律的 emails。使用 AI Agent 为每位潜在客户收集独特洞察。找到能体现您做过功课的谈资，从而获得更多回复。","GRID_DEDUPE_TITLE":"去重并合并","GRID_DEDUPE_BODY":"使用我们强大的 Duplicates Finder（重复项查找器）清理您的 lead 和客户名单。跨多来源合并重复记录且不丢失有价值的数据，确保唯一可信数据源。","GRID_CLEAN_TITLE":"清洗与丰富您的 CRM","GRID_CLEAN_BODY":"保持 CRM 数据准确、最新。验证 emails，规范公司名称，并使用来自 LinkedIn 等提供方的最新数据来丰富记录，以提升营销活动表现。","GRID_AUTOMATE_TITLE":"自动化您的 workflows","GRID_AUTOMATE_BODY":"设置周期任务，持续获得新的、已丰富的 leads。安排 scrapers（抓取器）和 enrichments 每天或每周运行，让您的销售团队始终拥有充足的销售管道。","WORKFLOW_TITLE":"经过验证的高质量 leads Workflow","WORKFLOW_STEP1_TITLE":"1. 获取有购买意向的公司","WORKFLOW_STEP1_CONTENT_1":"首先找到有明确需求的公司。使用我们的 Job Postings Scraper（招聘信息抓取器）识别正在为与您产品/服务相关岗位积极招聘的企业。","WORKFLOW_STEP1_CONTENT_2":"这是他们拥有预算且有紧迫问题待解决的强力信号。","WORKFLOW_STEP2_TITLE":"2. 找到决策者与联系方式","WORKFLOW_STEP2_CONTENT_1":"锁定目标账号后，使用我们的 Waterfall People Search（瀑布式人员搜索）在这些公司中找到合适的联系人——例如 Head of Sales 或 Marketing Director。","WORKFLOW_STEP2_CONTENT_2":"随后使用我们的 email finder 和 phone finder 获取已验证的联系信息。","WORKFLOW_STEP3_TITLE":"3. 为个性化收集情报","WORKFLOW_STEP3_CONTENT_1":"这是您获取不对称优势的关键。使用 AI Agent 调研每位潜在客户。让它查找其最新博客、案例研究，甚至他们在用的 SaaS 工具。","WORKFLOW_STEP3_CONTENT_2":"您将获得独特洞察，以撰写与众不同且更易获得回复的 outreach 信息。","WORKFLOW_STEP4_TITLE":"4. 清洗并定稿您的名单","WORKFLOW_STEP4_CONTENT_1":"在启动 outreach 前，用我们的 Duplicates Finder 处理最终名单。它会合并任何重复的联系人或公司，确保列表干净有序。","WORKFLOW_STEP4_CONTENT_2":"现在，您的名单已可同步到销售 CRM 或 email sequencer（邮件序列工具）。","SEE_ALSO":"相关内容","FAQ_Q1":"Datablist 与 ZoomInfo 或 Apollo 等标准 B2B 数据库有何不同？","FAQ_A1":"B2B 数据库提供的是静态、预先收集的数据；而 Datablist 让您能够从实时来源构建新鲜且专有的 lead 列表。您可以使用我们的 Job Scrapers（职位抓取器）发现具有活跃招聘意向的公司——这是强有力的购买信号。我们的 AI Agent 还可以执行定制的 web scraping，收集任何数据库都没有的细分数据，为您带来独特的竞争优势。","FAQ_Q2":"我的初创公司需要快速获取高质量 leads。Datablist 能如何帮助？","FAQ_A2":"Datablist 为速度而生。先使用我们的 Job Postings Scraper 聚合来自 19+ 个招聘网站的数据，寻找有即时需求的公司。随后利用我们的 Waterfall enrichment 工具，快速找到决策者及其已验证的联系方式。整个 workflow 从筛选账号到得到可直接用于 outreach 的名单，都可在几分钟内完成。","FAQ_Q3":"使用 Datablist 需要开发人员或技术能力吗？","FAQ_A3":"不需要。Datablist 是零代码平台，结合了友好的电子表格界面、强大的 AI 与自动化工具。您可以通过自然语言 prompt 与点选式界面完成诸如 web scraping、数据清洗与 enrichment 等复杂任务。它为 GTM 团队而建，而非为开发者。","FAQ_Q4":"Datablist 如何帮助我的销售团队实现 email 个性化？","FAQ_A4":"千篇一律的 outreach 无效。Datablist 的 AI Agent 就是您销售团队的研究助理。您可以让它访问每位潜在客户的网站，找到独特谈资，例如最新案例研究、其使用的特定技术或公司新闻。这样，您就能在规模化的同时打造高度个性化的信息，大幅提升回复率。","FAQ_Q5":"我们的 lead 名单来源杂乱且重复很多。Datablist 如何进行清洗与去重？","FAQ_A5":"Datablist 擅长数据卫生管理。我们的 Duplicates Finder 采用包括 fuzzy matching（模糊匹配）在内的高级算法，可在多文件间识别相似记录，即便名称或细节略有差异。随后您可以自动合并重复项、在不丢失数据的情况下整合冲突信息（如多个电话号码），并标准化字段，最终形成单一、干净的唯一可信数据源。","FAQ_Q6":"我能否自动化获客以持续获得潜在客户？","FAQ_A6":"可以。Datablist 为自动化而生。您可以将数据源（如 Job Postings Scraper）设定为每日或每周运行，确保团队始终拥有最新的高意向公司清单可供触达，从而以极少的人工投入构建持续、可预测的销售管道。","FAQ_Q7":"定价模式对初创公司是否友好且具性价比？","FAQ_A7":"当然。Datablist 的 enrichment 采用按点数计费的 credit-based 体系，您只为实际使用付费——非常适合需要精打细算的初创公司。诸如 Free Email Validator 等功能不限量；我们的付费方案也比同时订阅多款独立的 scraping、清洗与 enrichment 工具更加实惠。","FAQ_Q8":"Datablist 如何与我们现有的 CRM 与销售工具集成？","FAQ_A8":"Datablist 旨在融入您现有的 workflow。我们提供与 Pipedrive 的直接集成，实现无缝数据同步。对于 HubSpot 或 Salesforce 等其他 CRM，您可以轻松将清洗和富集后的列表导出为 CSV 或 Excel 快速导入。您也可以通过 Zapier 将 Datablist 连接到成千上万的应用。"},"Alternatives":{"HERO_DESC":"Datablist 是一款 Leads 管理工具，也是 {toolName} 的优秀替代方案。Datablist 非常适合用于构建自定义的 lead generation（获客）workflows。对比 Datablist 与 {toolName}，看看哪款工具更契合您的需求。","WHAT_IS_TITLE":"什么是 {toolName}？","WHAT_IS_DESC":"{toolName} 是一款帮助销售团队开展 outreach 活动的 SaaS 工具。它集成了多种数据富化（data enrichment）服务，并借助 AI 自动撰写个性化的 outreach 文案。随后，{toolName} 可与 CRM 和 outreach 工具连接以发送活动。","COMPARISON_TITLE":"Datablist 在哪些方面更出色？","COMPARISON_CONTENT_1":"Datablist 和 {toolName} 都用于管理 lead 列表的工具。","COMPARISON_CONTENT_2":"Datablist 专注于数据清洗、lead 去重，以及通过我们的 REST API 构建自定义 workflows。Datablist 速度快，可轻松管理数十万条 leads。","COMPARISON_CONTENT_3":"Clay 专注于 leads sourcing 和瀑布式富化（waterfall enrichments）。","COMPARISON_CONTENT_4":"如果您希望打造集中式的 leads 数据库，结合高级去重与强大的数据清洗以确保数据质量，Datablist 将是理想选择。","BENEFITS_TITLE":"为什么团队正在从 {toolName} 迁移到 Datablist？","COST_EFFECTIVE_TITLE":"Datablist 是 {toolName} 更实惠的替代方案","COST_EFFECTIVE_DESC":"Clay 的免费计划受限。Clay 的入门方案为 $149/月，仅含 2000 credits（额度）。Datablist 提供更低的月订阅价格和更实惠的 credit 套餐。您在 web scraping（网页抓取）、清洗与富化 leads 的用量越多，使用 Datablist 节省的成本就越可观。","CLEANING_TITLE":"高级清洗与去重工具","CLEANING_DESC":"Datablist 提供先进的数据清洗工具。从数据类型转换到数据规范化，Datablist 在大规模数据清洗方面远胜电子表格工具。Lead 去重是 Datablist 的原生功能。通过模糊匹配与高级重复合并，可避免对同一个 lead 进行重复富化。","API_TITLE":"通过 API 扩展","API_DESC":"Datablist 的数据存储可通过 API 完整访问。使用我们的 RESTful API 创建 collections（集合）、properties（属性）与 items（条目）。在用 Make.com 或 Zapier？通过 API 将它们连接到 Datablist，搭建强大的 outreach workflows。","SCALE_TITLE":"处理更大规模的列表","SCALE_DESC":"Datablist 在云端同步场景支持最多 100,000 条记录，在数据操作、转换与清洗场景可处理高达 2,000,000 条记录。无惧性能瓶颈，轻松扩展您的 lead 管理。","SUPERIOR_TITLE":"Datablist：更优的 Lead Generation 替代方案","SUPERIOR_INTRO":"在 Datablist，我们深知用户在使用 Clay 等其他 lead generation 工具时面临的挑战。因此，我们设计的平台既易用又高速，并能灵活融入您现有的 workflows。直观的界面让上手与配置更顺畅、学习成本更低，帮助您快速开始生成 leads，毫无负担。","ACCURATE_DATA_TITLE":"准确且可靠的数据","ACCURATE_DATA_DESC":"我们以数据准确性为先，确保您获得最新且正确的联系信息。这意味着更有效的 outreach 活动与更高的转化率。告别其他平台常见的不一致和过时数据问题。","AFFORDABLE_PRICING_TITLE":"实惠的定价","AFFORDABLE_PRICING_DESC":"Datablist 提供具竞争力且透明的定价，适用于各类规模的企业。我们的高性价比模式确保您物有所值，不会出现意外开支。与其他工具不同，您无需担心成本迅速叠加。","RESPONSIVE_SUPPORT_TITLE":"响应迅速的客户支持","RESPONSIVE_SUPPORT_DESC":"我们的专属支持团队随时待命，快速高效地解决您遇到的任何问题。我们以快速响应与专家级支持为荣，助您专注于最重要的事情——发展业务。","SUPERIOR_CONCLUSION":"选择 Datablist，体验无缝、可靠且实惠的 lead generation。","SEE_ALSO":"另请参阅","ENRICHMENTS":"数据富化","ENRICHMENTS_DESC":"探索我们的数据富化服务，用公司信息、联系方式等内容增强您的 lead 数据。","DATA_SOURCES":"数据源","DATA_SOURCES_DESC":"探索所有可用数据源，从各类平台与网站导入并进行 web scraping（网页抓取）。","API_DOCS":"API 文档","API_DOCS_DESC":"通过我们全面的 REST API，了解如何将 Datablist 集成到您现有的 workflows。","LEAD_BUILDING":"Lead 列表构建","LEAD_BUILDING_DESC":"借助我们的完整指南与工具，掌握构建高质量 lead 列表的最佳实践。"},"AIPrompts":{"metadata":{"title":"AI Prompts","description":"使用我们的 AI prompts 提升 lead generation、enrichment 和数据清洗。这些 prompts 帮你找到高质量的 leads，并保持数据准确。使用 AI 识别潜在客户、更新 lead 信息。非常适合希望通过 AI 驱动工具优化 lead 管理、实现规模化的企业。"},"breadcrumb":{"home":"首页","aiPrompts":"AI Prompts"},"header":{"category":"助力业务增长的 AI 工具","title":"用于 Lead Generation、Enrichment 与数据清洗的顶级 AI Prompts","description":"自动化 lead 寻找、enrichment 和数据清洗。这些 AI prompts 可扩展你的 GTM workflows。"},"enrichment":{"title":"AI Agent Prompts (Enrichment)","description":"使用这些 prompts 为你的现有条目做 enrichment。在当前记录上运行这些 AI prompts，以查找缺失细节、进行调研，或对每一行的信息进行分析。"},"dataSource":{"title":"Source AI Agent Prompts (Data Source)","description":"这些 prompts 会创建新的条目。使用它们进行 web scraping，从网站提取结构化信息，查找符合特定条件的联系人，或用 AI 从零构建目标列表。你可以以一个 URL、一段指令，或来自另一 collection 的输入作为起点，生成全新数据。"},"cta":"查看 Prompt","detail":{"metadataTitle":"用于 {title} 的 ChatGPT prompt","metadataNotFound":"未找到 AI Prompt","pageTitle":"用于 {title} 的 ChatGPT prompt","pageTitleDataSource":"AI Agent prompt：{title}","breadcrumbHome":"首页","breadcrumbEnrichments":"Enrichments 商店","breadcrumbAIPrompts":"AI Prompts","copiedText":"Prompt 已复制","copyText":"复制 prompt 到剪贴板","relatedPrompts":"相关 Prompts"},"enrichmentContent":{"howToTitle":"如何在 CSV 文件上使用此 prompt？","howToIntro":"**Datablist 允许你拿整个 CSV 文件并在每一行上直接运行 prompts。**","howToTemplates":"好消息是，你需要的 prompt 已在 Datablist 的 \"Templates\" 区域就绪。无需从零开始！只需选择符合任务的 template，即可在你的 CSV 每一行上运行。用几次点击就能轻松改造你的数据。","openDatablist":"打开 Datablist","noSignup":"无需注册","step1":"在 Datablist 中导入你的 CSV 文件。然后从顶部导航选择 \"Enrich\"。","step2":"选择模板：**{title}**","step2Image":"选择模板","step3":"使用 \"/\" 或 '{{' 将 prompt 中的变量替换为你 collection 的属性。","step3Image":"使用你的 collection 属性定义变量","step4":"如果缺少某些变量，直接编辑 prompt 即可。","step5":"**就这么简单！** 现在你可以在 CSV 文件的每一行上运行该 prompt，并在新列中获得结果。 🚀","costTitle":"费用是多少？","costIntro":"你有两种选择，且都非常简单。","option1Title":"选项 1 – 使用你自己的 OpenAI API key。","option1Desc1":"我们这边完全免费。只需接入你的 key，Datablist 会通过你的账号发送请求。你直接向 OpenAI 支付，按其用量计费。没有中间商，无额外费用。","option1Desc2":"使用你的 API key，以 1,000 个条目为例，你可能向 OpenAI 支付约 **$2**。","option1Desc3":"非常适合已经有 OpenAI key 或希望完全掌控成本的用户。\n**加分项：** 没有来自我们的速率限制！","option2Title":"选项 2 – 使用 Datablist Credits。","option2Desc1":"没有 API key？没问题。你可以使用 Datablist 内置的 ChatGPT 账号。我们替你处理 API 相关事项，你只需使用 Datablist credits 结算。","option2List1":"API key 设置 – 跳过","option2List2":"ChatGPT 限频 – 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的代理机构吗？让我们一起定制最适合您需求的方案。","description2":"我们也提供专业服务（Professional Services），用于定制集成或满足特定需求。","description3":"<link>与我们预约通话。</link>","complexUseCase":{"title":"有复杂场景吗？","description1":"无论是代理机构、技术合作伙伴、专业服务伙伴，还是任何有复杂需求的客户：请<contactLink>联系我们</contactLink>，或<bookLink>与我们的团队预约通话</bookLink>。","description2":"此外，欢迎查看我们的<helpLink>帮助中心</helpLink>，了解 Datablist 的工作方式。"}},"v4":{"hero":{"eyebrow":"定价","title":["简单的套餐，准确的数据。","强大的 AI workflow。"],"description":"根据所需功能选择套餐，并随着使用量增长增购 credits。","badges":["适合个人和团队的套餐","不限次数的数据操作","可随时取消"],"note":"付费套餐包含用于数据丰富的 credits。免费套餐每年包含 500 credits。"},"billing":{"monthly":"按月","yearly":"按年","save":"节省 {discount}%"},"common":{"currency":"$$","currencyCode":"USD","price":"{currency}{amount}","perMonth":"/月","freeForever":"永久免费","billedYearly":"按年计费","includedCredits":"包含的 Credits","freeCredits":"500 credits / 年","creditsSelector":"{amount} credits/月","creditsComparison":"{amount} credits / 月","includedInPlan":"已包含在套餐中","addOnNote":"+${price}/月附加包","choose":"选择 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leads、研究目标账户并丰富数据。","featuresHeading":"包含免费版的全部功能，另加：","features":["<accent>50+ 款 lead 抓取与数据丰富工具</accent>：email 与电话号码查找、LinkedIn、域名、公司数据等","<accent>20+ 款高级清理工具</accent>：验证、清洗、解析","Sales Navigator 抓取工具","AI 研究 Agent 和 AI 抓取 Agent","云端备份，每张表最多 10 万行","{users, plural, =1 {包含 1 位用户} other {包含 # 位用户}}","基础支持"]},"growth":{"name":"Growth","tag":"适合自动执行数据丰富的个人用户和小型团队。","cta":"免费开始","micro":"无需信用卡。","choose":"如果您希望丰富数据并自动化 workflow。","featuresHeading":"包含 Starter 的全部功能，另加：","features":["自动化（定时与 triggers 触发）","REST API + HTTP 调用","集成（Lemlist、Pipedrive 等）","{users, plural, =1 {包含 1 位用户} other {包含 # 位用户}}","优先支持"]},"scale":{"name":"Scale","tag":"适合规模化运行 GTM 系统的成长型团队和代理机构","cta":"免费开始","micro":"无需信用卡。","choose":"如果您需要管理大型数据库、使用自己的 AI key，并保留未使用的 credits。","featuresHeading":"包含 Growth 的全部功能，另加：","features":["Credits 结转","在 AI Agent 中使用自有 key","云端备份，每张表最多 20 万行","专属客户成功经理","优先支持 + onboarding"]}},"enterprise":{"title":"企业版","description":"自定义 credit 用量、安全审核、发票结算、专属客户成功经理和定制 onboarding。适合有特定需求的代理机构和大型团队。","cta":"联系销售"},"comparison":{"title":"比较所有功能","description":"并排比较所有套餐。点击分区标题可将其折叠。","groups":[{"title":"套餐","rows":[{"label":"包含免费 credits"},{"label":"团队成员","values":["1","无限 ∞","无限 ∞","无限 ∞"]},{"label":"优先支持"},{"label":"Onboarding"},{"label":"Credits 结转"},{"label":"专属客户成功经理"}]},{"title":"Lead 生成工具","rows":[{"label":"瀑布式 Email Finder","description":"通过姓名和公司或 LinkedIn URL 查找已验证的 B2B email。整合 20+ 家数据提供商，每找到一个 email 消耗 25 credits，仅对成功找到的 email 计费。"},{"label":"瀑布式电话号码查找器","description":"通过 LinkedIn 个人资料 URL 查找手机号码。仅在成功找到号码时付费。"},{"label":"LinkedIn 个人资料抓取工具","description":"从任意 LinkedIn 或 Sales Navigator 个人资料 URL 提取最多 40 个数据点（职位、公司、经历、教育背景），且不会给您的账户带来风险。"},{"label":"公司数据丰富","description":"通过公司域名或 LinkedIn 页面丰富公司数据：行业、规模、地点、成立年份等，最多可获取 9 个数据点。"},{"label":"公司域名查找器","description":"根据公司名称查找其网站和域名，并提供置信度评分。"},{"label":"招聘网站抓取","description":"从 LinkedIn、Indeed 和 Glassdoor 等 19+ 个招聘网站抓取职位信息。可按职位、地点、公司等条件筛选。"},{"label":"Sales Nav 抓取工具（使用您的账户）","description":"使用您自己的 LinkedIn 账户，从 LinkedIn 或 Sales Navigator 搜索结果中抓取 leads 或公司。每条 lead 消耗 10 credits。"},{"label":"Sales Nav 抓取工具（无需账户）","description":"无需连接您自己的账户，即可从 Sales Navigator 搜索结果中抓取 leads 或公司。每条 lead 消耗 20 credits。"}]},{"title":"AI 与自动化","rows":[{"label":"ChatGPT / Claude 集成（使用您的 key）","description":"使用您自己的 API key，对各行数据运行任意 LLM prompt。不消耗 Datablist credits。"},{"label":"AI 研究 Agent","description":"向 Agent 提出任意任务或问题，它会搜索 Google 并访问网站以完成任务。"},{"label":"自动化","description":"按照计划或通过 trigger 自动运行数据丰富和导入。"},{"label":"REST API + HTTP 调用","description":"以编程方式读写数据，并从 workflow 中调用任意外部端点。"},{"label":"集成（Lemlist、Pipedrive 等）","description":"将 leads 直接推送至第三方平台。"},{"label":"在 AI Agent 中使用自有 key","description":"在 AI Agent 中使用您自己的模型 API key，以降低成本。"}]},{"title":"电子表格功能","rows":[{"label":"存储方式","values":["仅限浏览器","云端同步","云端同步","云端同步"]},{"label":"表格数量","values":["∞","∞","∞","∞"]},{"label":"每张表的导入上限","values":["200 万条记录","200 万条记录","200 万条记录","200 万条记录"]},{"label":"每张表的同步行数","values":["-","10 万","10 万","20 万（即将推出）"]},{"label":"版本历史（即将推出）","values":["无","7 天","14 天","30 天"]},{"label":"AI 编辑","values":["3 次免费编辑","无限","无限","无限"]}]},{"title":"数据清理功能","rows":[{"label":"单文件去重","description":"使用可配置的匹配规则，在一个集合中查找、合并或删除重复项。"},{"label":"查找和替换","description":"在某个属性或整个集合中查找并替换值。"},{"label":"批量编辑","description":"一次编辑多个项目：批量设置或替换值。"},{"label":"从文本中提取数据","description":"从任意文本字段中提取 email、URL 和电话号码。"},{"label":"Email 格式验证","description":"即时检查 email 语法、域名和 MX 记录。免费且即时完成。"},{"label":"回收站与数据恢复","description":"从回收站中恢复意外删除的项目。"},{"label":"多文件去重","description":"一次对多个集合或导入的数据进行去重。"},{"label":"Email 可送达性验证","description":"通过多个服务商全面检查可送达性（语法、域名、邮箱和 catch-all）。"},{"label":"公司名称清洗器","description":"标准化公司名称：移除 LLC 和 Inc，并修正大小写。"},{"label":"电话号码清洗器","description":"标准化电话号码格式并补充缺失的国家/地区代码。"},{"label":"姓名解析器","description":"将全名拆分为名字和姓氏，并识别性别和称谓。"},{"label":"语言检测","description":"识别任意文本的语言并提供置信度评分。"}]}]},"credits":{"title":"Credits 如何运作","description":"在所有套餐中，运行 workflow、清理数据、提取文本以及使用您自己的 API key 始终免费。Credits 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credits。数据清理、去重和使用您自己的 API key 的工具不会消耗 credits。"},{"question":"我的 credits 会过期或结转吗？","answer":"套餐 credits 会随计费周期刷新，且不会结转。充值获得的 credits 永不过期。"},{"question":"定期续购附加包与一次性充值有什么区别？","answer":"定期续购附加包每月会以更优惠的单个 credit 价格补充 credits，最适合稳定用量。一次性充值适合偶发的用量高峰，且永不过期。"},{"question":"我可以使用自己的 API key 吗？","answer":"可以。所有套餐均可使用您自己的 key 免费运行 LLM 工具（ChatGPT、Claude、Gemini 等）。从 Starter 套餐起，Apollo、PeopleDataLabs、Moz 和 Bing 也可使用您自己的 key。"},{"question":"Data Actions 是否收费？","answer":"不收费。去重和清理等数据操作均免费。数据丰富功能只收取相应的 data credits，不会额外收取操作 credits。"},{"question":"哪些数据丰富功能仅在找到结果时收费？","answer":"大多数查找器（email、电话号码、个人 email）仅在成功找到结果时收费，因此未找到结果不会产生费用。少数数据丰富功能按尝试次数收费。完整明细请参阅帮助中心。"},{"question":"如何获得 500 个免费 credits？","answer":"使用企业 email 地址注册 Datablist，即可获得 500 个免费 credits。"}]},"accessibility":{"included":"已包含","notIncluded":"未包含"}}},"Logos":{"SUBTITLE":"与行业领先者同行"},"LocaleSwitcher":{"label":"切换语言"},"ThemeSwitcher":{"LABEL":"主题","LIGHT":"浅色","DARK":"深色","AUTO":"自动"},"TalkToUs":{"TITLE":"如果我们每周为您腾出额外 3-5 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指南 by Johan Abadie (1)

技术画像定向：按企业技术栈精准筛选客户并确定销售优先级