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Finderでは、氏名とドメインから検証済みのemailアドレスを取得できます。テクノロジーエンリッチメントでは、サイトから利用技術のstackを読み取ります。"}]},"related":{"eyebrow":"インテグレーション","title":"関連するエンリッチメント","description":"Company Domain FinderとDatablistの補完的なデータツールを組み合わせてご利用いただけます。","cards":[{"title":"企業データエンリッチメント","description":"ドメインから業界、規模、所在地、設立年を取得します。","imageAlt":""},{"title":"Waterfall Email Finder","description":"ドメインと氏名から検証済みのemailアドレスを検索します。","imageAlt":""},{"title":"会社名クリーナー","description":"検索前にLLCやIncを削除し、大文字・小文字を整えます。","imageAlt":""}],"action":"すべてのエンリッチメントを見る"},"free":{"eyebrow":"無料ツール","title":"まずは無料でお試しください","description":"関連ツールの無料版を使い、本格的な一括処理の前に数行でお試しいただけます。","cards":[{"title":"無料ドメイン検索","description":"会社名を貼り付けてWebサイトを検索できます。無料で、クレジットカードは不要です。","imageAlt":""},{"title":"無料会社名クリーナー","description":"会社名を正規化します。法人格を削除し、大文字・小文字を修正して、重複を検出します。","imageAlt":""},{"title":"無料Email 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3166コードまたは英語の国名を入力します"]]},{"title":"出力","rows":[["企業ドメイン","テキスト","見つかった場合の企業ドメイン（例：google.com）"],["企業の完全なURL","URL","見つかった場合の企業の完全なURL（例：https://www.google.com）"],["ドメイン信頼度","テキスト","マッチの確度：「高」「中」「低」「非常に低」のいずれか"],["ステータス","テキスト","success、not_found、empty_nameのいずれか"]]}]},"cta":{"title":"手作業はもう不要です Datablistなら数秒で完了","body":"Datablistをお試しいただき、workflowの自動化がいかに簡単かをご体験ください。 すでに38,000人以上のユーザーが利用しています！","label":"お問い合わせ"},"articles":{"title":"関連記事","cards":[{"title":"会社名からドメインを検索する3つの一括処理方法","imageAlt":"会社名からドメインを検索する3つの一括処理方法"},{"title":"会社名から企業Webサイトを検索する方法","imageAlt":"会社名から企業Webサイトを検索する方法"},{"title":"会社名から企業データをエンリッチする方法","imageAlt":"会社名から企業データをエンリッチする方法"}]},"steps":[{"title":"ステップ1：登録してデータをアップロード","paragraphs":["まず、<a href=\"signup\">Datablist.com</a>にご登録ください","次に、会社名のリストを含むCSVまたはExcelファイルをアップロードします"],"imageAlts":["会社名からドメインを検索 - 登録","会社名からドメインを検索 - 会社リストをアップロード"]},{"title":"ステップ2：企業ドメイン検索エンリッチメントを開く","paragraphs":["1. 上部メニューのEnrichをクリックします","2. Companiesタブを開きます","3. Find Company Domain from Company Nameを選択します。"],"imageAlts":["会社名からドメインを検索 - エンリッチメントライブラリ"]},{"title":"ステップ3：Workflowを設定","paragraphs":["Workflowで「Use only companies dataset」を選択します。ドメインが見つかった場合に1件につき1クレジットとなる、最も低コストな方法です。","Target Countryを設定します。各行に個別の国の列がある場合は、Define Target Country By Itemにチェックを入れてください。","データセットで見つからない会社名も検索するには、Googleのworkflowを選択します。残りの会社名に対してGoogleライブ検索が実行され、結果の有無にかかわらず1回につき2.5クレジットが消費されます。"],"imageAlts":["会社名からドメインを検索 - データベースWorkflow設定","会社名からドメインを検索 - Google Workflow設定"]},{"title":"ステップ4：会社名の列をマッピング","paragraphs":["1. 会社名が入力されている列をInput Propertyとして設定します","2. Continue to outputs configurationをクリックします"],"imageAlts":["会社名からドメインを検索 - 入力列をマッピング"]},{"title":"ステップ5：ドメインの出力項目を選択","paragraphs":["1. ⊕アイコンまたはAdd all 3 outputs to collectionを使用して、出力項目をコレクションに追加します。","2. Instant Runをクリックします","ドメイン信頼度とステータスは残してください。すべての行を同等に信頼するのではなく、実行後に結果を選別するために必要です。"],"imageAlts":["会社名からドメインを検索 - 出力設定"]},{"title":"ステップ6：エンリッチメントを一括実行","paragraphs":["最後に、ボタン右側の山形アイコンをクリックして実行設定を行います。以下のオプションから選択できます：","• 最初の10件で実行：本格的に実行する前の結果確認に適しています","• 最初の100件で実行：より大きなサンプルを検証する場合に便利です","• 最初の{X}件で実行：処理する件数を指定できます","• 表示中のすべての項目で実行：リスト全体、またはフィルターを有効にしている場合は現在の表示全体を処理します","ご希望のオプションを選択したら、Run on X itemsをクリックします","数分以内に、検証済みドメインの列が会社名の隣に追加され、次のエンリッチメントに進める状態になります。","ドメイン信頼度で並べ替えまたは絞り込みを行い、「低」「非常に低」およびnot_foundの行を、都市や業界などの追加情報とともにAI Agentへ送ります。"],"imageAlts":["会社名からドメインを検索 - 実行設定","会社名からドメインを検索 - Webサイト検索の実行","会社名からドメインを検索 - データベースの結果","会社名からドメインを検索 - AI Agentの結果"]}],"faq":{"title":"よくあるご質問","items":[{"question":"2つのworkflowオプションにはどのような違いがありますか？","answer":"「企業データセットのみ」では、会社名を厳選された会社名・ドメイン対応データセットと照合します。高速で、1クレジットを使用し、マッチした場合にのみ消費されます。2つ目のオプションでは、データセットでマッチしなかった会社名をGoogleでライブ検索します。1回につき2.5クレジットで、ドメインが見つかったかどうかにかかわらず消費されます。"},{"question":"1つの会社名に複数のドメインがマッチした場合、どれが返されますか？","answer":"最もトラフィックの多いドメインが返されます。この動作がご希望に合わない場合は、対象国による絞り込みが最も効果的です。同順位の判定が行われる前にデータセットを絞り込めます。"},{"question":"「ルート以外のWebサイトを許可」は何をする設定ですか？","answer":"デフォルトでは、DatablistはルートドメインではないGoogle検索結果を除外します。これにより、directory.com/mycompanyのようなディレクトリページがリストに含まれるのを防ぎます。一方で、hostingplatform.com/mycompanypageのように、プラットフォーム上にサイトを持つ実在企業も除外されます。小規模事業者が多いリストでは、この設定を有効にしてください。"},{"question":"Googleの48時間キャッシュはクレジットにどのように影響しますか？","answer":"DatablistはGoogle検索結果を48時間キャッシュします。その期間内に「ルート以外のWebサイトを許可」または「以下のドメインを除外」を変更して再実行すると、キャッシュから結果を取得するため、1行あたり2.5クレジットではなく1クレジットとなります。これにより、この2つの設定を低コストで調整できます。"},{"question":"「Googleのキャッシュ済み結果のみを処理」は何のための設定ですか？","answer":"すでに料金をお支払いいただいたGoogle検索結果のみに処理を限定し、データセットの結果を完全にスキップします。新しいライブ検索にクレジットを使用せず、過去の実行結果を異なる設定で再スコアリングする際にお使いください。"},{"question":"対象国にはどのような形式を使用できますか？","answer":"FRなどのISO 3166 Alpha-2コード、USAなどのAlpha-3コード、またはPortugalなどの英語の正式名称を使用できます。行の国が未入力または無効な場合は、Datablistが全体の対象国設定を適用します。"},{"question":"失敗した行だけを再実行するにはどうすればよいですか？","answer":"ステータス、またはマッチの確度が低い場合はドメイン信頼度で表示を絞り込み、「表示中のすべての項目で実行」を選択します。絞り込まれた表示内の行だけが処理されるため、すでに解決済みの行に再度クレジットを使用することはありません。"},{"question":"代わりにAI Agentを使用するのはどのような場合ですか？","answer":"会社名が曖昧で、通常の検索では利用できない追加情報をお持ちの場合です。データセットとGoogleはいずれも会社名だけを使用します。AI Agentでは都市、業界、説明なども入力でき、それを基に企業を調査し、信頼度スコアと説明を添えてドメインを返します。使用量に応じた料金で1行あたりのコストが高いため、通常の検索で残った項目に限定してご利用ください。"}]}},"corner":{"title":"無料で試す","body":"会社名から検証済みドメインを一括取得できます。すでに38,000人以上がDatablistを利用しています。","label":"無料で試す","close":"CTAを閉じる"}},"EnrichmentWaterfallEmailFinder":{"metadata":{"title":"Waterfall Email Finder - Find Verified Emails in Bulk | Datablist","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once with Datablist's Waterfall Email Finder."},"breadcrumb":"Waterfall Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Email Finder","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once.","trust":["Cheapest Waterfall on the Market","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Find 20 emails free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Maximize email find rates by querying over 20 top data providers in sequential order until a verified address is found.","cards":[{"title":"What you give","items":["First Name & Last Name: Or combined full name property","Company Name or Domain: e.g. acme.com or Acme Corp","Or LinkedIn Profile URL: Direct profile link method"],"links":["See full input reference"]},{"title":"What you get","items":["Work Email Address: The address found for the contact","Email Deliverability Status: verified or unverified for a found address","MX Provider Detected: E.g. Google Workspace, Microsoft 365"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Found Email: Deducted when an email is found","0 Credits if Not Found: Zero wasted spend on misses","Custom API Keys Supported: Bring your own provider accounts"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: First Name, Last Name and Company Domain. Output: Email, Email Status and MX Provider.","groups":["Your data","Added by Waterfall Email Finder"],"headers":["First Name","Last Name","Company Domain","Email","Email Status","MX Provider"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many verified emails you need and we'll show you the cheapest way to get them.","unitsLabel":"Verified emails needed","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Use your own API keys for the Email Finder","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You're only charged 25 credits when an email is actually verified and found, never for a miss. Plan credits renew every month and reset if unused, so they're sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, making them the better fit for one-off spikes in volume.","emailHint":"= {credits} credits at {rate} credits per found email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access, custom API keys, and automation are Growth-only.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist cascades your contact through multiple elite providers until a deliverable email is confirmed.","steps":[{"label":"Step 1","title":"Upload your list","body":"Import any CSV or Excel file with your contacts. All you need is a first name, last name, and company name or domain. Or a LinkedIn Profile URL if you have it."},{"label":"Step 2","title":"The waterfall runs across 20+ providers","body":"Instead of relying on a single email finder, Datablist queries multiple providers in sequence: Icypeas, Enrow, Findymail, Prospeo, Wiza, and more. If one provider does not find a result, the next one tries. This cascading approach increases your hit rate by up to 30% compared to using a single tool."},{"label":"Step 3","title":"Every email verified","body":"Each found address has Email Status information: verified or unverified. Review unverified addresses before sending. No-result and input errors appear in the run-status column. You only pay for emails that are actually found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Business Owner Finder","description":"Pull owner names and titles off company websites.","imageAlt":""},{"title":"Email First Line","description":"Draft a personalised opener for every contact.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Email Finder with complementary data tools in Datablist.","cards":[{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Find direct mobile phone numbers for B2B prospects globally.","imageAlt":""},{"title":"Company Enrichment","description":"Turn a domain into industry, size, location, and founded year.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about email finding rates, billing, and provider waterfall rules."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Email Finder","description":"Run Datablist's Waterfall Email Finder on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Search Method","Select","Find by name + company (default), or by LinkedIn Profile URL"],["Use Full Name","Checkbox","Use a single Full Name input instead of First Name and Last Name"],["Custom Waterfall","Checkbox","Use your own API keys and provider sequence with By Name and Company"],["Waterfall Sequence","Sequence","Define the order of providers and configure API keys for each one"]]},{"title":"Inputs","rows":[["First Name","Text","First input property for the name + company search method"],["Last Name","Text","Second input property for the name + company search method"],["Full Name","Text","Replaces First Name and Last Name when Use Full Name is enabled"],["Company Name or Domain","Text","Third input property for the name + company search method"],["LinkedIn Profile URL","Text","Standard LinkedIn profile URL. Required for LinkedIn mode; optional for name + company. Sales Navigator URLs are unsupported."]]},{"title":"Outputs","rows":[["Email","Email","The work email address found"],["Email Status","Text","Deliverability information for a found email: verified or unverified"],["MX Provider","Text","The contact's email provider, e.g. Google or Microsoft"],["Provider","Text","Available with Custom Waterfall. The email-finding provider that returned the result"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]}},"corner":{"title":"Try it for Free","body":"Find verified emails of all your contacts in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentSmartScraper":{"metadata":{"title":"Smart Scraper - Scrape Webpage Text, Emails and Social Links in Bulk | Datablist","description":"Scrape website text, email addresses, phone numbers, LinkedIn and Instagram links from a list of URLs. 0.10 credits per page, 0.50 with a proxy."},"breadcrumb":"Smart Scraper","tabs":["Overview","How to use"],"hero":{"title":"Smart Scraper","description":"Turn a list of webpage URLs into text, emails, phone numbers, and LinkedIn and Instagram links. A simple scrape costs 0.10 credits per page.","trust":["0.10 Credits per Page","Follows About and Contact Pages","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Smart Scraper reads each webpage on your list and returns its text, email addresses, phone numbers, LinkedIn links and Instagram links. It can follow About us and Contact pages, and use a proxy when a site blocks normal requests.","cards":[{"title":"What you give","items":["URL to Parse: A full URL with http or https, one per row","Follow Pages: Optional: follow the About us and Contact pages","Proxy and Rendering: Optional: proxy on errors, or render JavaScript pages"],"links":["See full input reference"]},{"title":"What you get","items":["Website Texts: Page text with headers and footers skipped, ready for ChatGPT","Emails and Phone Numbers: Comma-separated lists of what is found on the page","Social Links: LinkedIn profiles, LinkedIn company pages and Instagram profiles"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 simple pages cost 1,000 credits","0.50 Credits with a Proxy: With proxy fallback you pay it only for pages that need it","2 Credits with Render HTML: For pages rendered by JavaScript"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: URL to parse. Output: 6 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Smart Scraper"],"headers":["URL to parse","Website Texts","Email Addresses","Phone Numbers","LinkedIn Profiles","LinkedIn Company Pages","Instagram Profiles"],"caption":"Sample input and output.","scrollHint":"7 columns, scroll →","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping mode?","modes":["Basic scraping (0.1 credits per page)","With a proxy (0.5 credits per page)","With Render HTML (2 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Basic scraping costs 0.10 credits per page, proxy scraping 0.50 credits, and Render HTML 2 credits. A cached page costs 0.05 credits. This estimate counts each listed URL once at your selected rate. Additional About/Contact pages and automatic rendering can add to the total; cached results can reduce it. Plan credits follow your billing cycle. Top-up credits never expire and are used after subscription credits are exhausted.","scraperHint":"= {credits} credits at {rate} credits per page","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add webpage URLs and get clean data columns back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one webpage URL per row. Use the full URL with http or https, whether it is a company site, a directory or a landing page. Remove duplicate URLs first, so you do not scrape the same page twice."},{"label":"Step 2","title":"Choose what to extract","body":"Pick text, emails, phone numbers, LinkedIn links and Instagram profiles, and decide whether to follow the About us and Contact pages. Turn on the proxy for sites that block normal requests. Additional About/Contact pages have their own scrape costs."},{"label":"Step 3","title":"Get clean columns back","body":"Each URL returns its data as columns, with several results as comma-separated lists. Send the text to ChatGPT to classify or summarize each site, or filter the contact columns for outreach."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Video Links from Webpage","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Case Study Finder","description":"Find case studies on a company website.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Smart Scraper with complementary data tools in Datablist.","cards":[{"title":"Instagram Profile Scraper","description":"Scrape public Instagram profile data in bulk.","imageAlt":""},{"title":"Impressum Scraper","description":"Extract company details from German Impressum pages.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, About pages and text for ChatGPT."},"guide":{"hero":{"title":"How to use Datablist's Smart Scraper","description":"Run Datablist's Smart Scraper on your own list in 6 steps, no code needed. 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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. 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. 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Reused cached results are not charged again."],["Custom Waterfall","Checkbox","Use your own provider API keys and customize the provider order."],["Waterfall Sequence","Sequence","With Custom Waterfall, add Enrow, Prospeo, Findymail, Wiza or Full Enrich with an API key for each provider."]]},{"title":"Inputs","rows":[["LinkedIn Profile","Text","Person's Profile URL should be in the format of https://linkedin.com/in/xxx. This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Phone Number","Phone","Phone Number found in international format (with country prefix)."],["Country","Text","Alpha-2 country code for the phone Number. See Wikipedia page for more information on ISO 3166-1 alpha-2."],["Provider","Text","Available with Custom Waterfall. Identifies which phone-finding provider returned the result."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]}},"corner":{"title":"Try it for Free","body":"Find direct phone numbers from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentWaterfallPersonalEmailFinder":{"metadata":{"title":"Waterfall Personal Email Finder - Find Personal Emails in Bulk | Datablist","description":"Find personal email addresses from LinkedIn profile URLs in bulk. Datablist runs several email providers in sequence and charges 75 credits only for each email found."},"breadcrumb":"Waterfall Personal Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Personal Email Finder","description":"Turn a list of LinkedIn profile URLs into personal email addresses in bulk. Several providers run in sequence, and you only pay for the emails found.","trust":["75 Credits per Email Found","LinkedIn URL to Personal Email","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Waterfall Personal Email Finder takes a LinkedIn profile URL and searches several email providers one after the other. It stops at the first personal email it finds, so you pay only for results.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: Standard format, linkedin.com/in/name","One URL per row: Import a CSV or Excel file","No Sales Navigator URLs: Standard profile URLs only"],"links":["See full input reference"]},{"title":"What you get","items":["Email: A personal email address when found","Run Status: No result, invalid data, or missing data","Credits Used: Shown in the summary after every run"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["75 Credits per Email Found: Charged only when an email is returned","0 Credits if No Result: Empty rows cost nothing","About $0.075 per Email: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: Email.","groups":["Your data","Added by Waterfall Personal Email Finder"],"headers":["LinkedIn Profile URL","Email"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many personal emails you expect to find and we'll show you the cheapest way to pay for them.","unitsLabel":"Personal emails found","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You are charged 75 credits only when a personal email is found, never for an empty row. The estimate assumes every unit you enter is a found email, so a run with fewer finds costs less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","emailHint":"= {credits} credits at {rate} credits per found personal email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"One LinkedIn URL in, one personal email out, with several providers searching behind it.","steps":[{"label":"Step 1","title":"Upload your LinkedIn URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Use standard profile links such as linkedin.com/in/jane-doe. Sales Navigator links are not supported."},{"label":"Step 2","title":"Providers search in sequence","body":"Datablist asks the first provider for a personal email. If nothing comes back, the next provider tries, and the search continues until a match is confirmed or the sequence ends. One provider rarely covers everyone, so the sequence raises your chances."},{"label":"Step 3","title":"Get one email column","body":"Map the LinkedIn column, add the Email output and run. Rows with no personal email are marked as no result and are not charged. You pay 75 credits for each email found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Employee & Talent Finder","description":"Find employees at a list of companies.","imageAlt":""},{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Email First Line","description":"Write an email first line from a LinkedIn description.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Personal Email Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Reach anyone you want by using 20+ email finders.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Get phone numbers from a LinkedIn profile URL and pay only for results.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about accuracy, billing and outreach rules for personal emails."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Personal Email Finder","description":"Run Datablist's Waterfall Personal Email Finder on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["LinkedIn Profile","Text","Person's Profile URL should be in the format of https://linkedin.com/in/xxx . This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Email","Email","Email Found"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]}},"corner":{"title":"Try it for Free","body":"Find personal emails from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentLinkedInProfileScraper":{"metadata":{"title":"LinkedIn Profile Scraper - Extract LinkedIn Profile Data in Bulk | Datablist","description":"Turn a list of LinkedIn or Sales Navigator profile URLs into full contact records in bulk. No account connection required, so your LinkedIn profile is never at risk."},"breadcrumb":"LinkedIn Profile Scraper","tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Profile Scraper","description":"Turn a list of LinkedIn profile URLs into full contact records. Your own account is never connected, so it can never be flagged.","trust":["No Login Required","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Scrape 20 profiles free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The LinkedIn Profile Scraper pulls public profile data from any LinkedIn or Sales Navigator URL. It reads the public page directly, so Datablist never needs your LinkedIn credentials.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: e.g. linkedin.com/in/janedoe","Or a Sales Navigator URL: e.g. linkedin.com/sales/lead/xxxx","Nothing else: No name, no company, no login"],"links":["See full input reference"]},{"title":"What you get","items":["Identity & Location: Name, headline, summary, city, state, country","Work History: Up to 10 experiences with titles, dates, and descriptions","Current Company Data: Website, industry, employee range, and description"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Profile: Fresh data pulled live from LinkedIn","20 Credits with Cached Profiles: Enable cached results when available; fresh fallback can cost 25","Charged per Profile: Not per field, however many you return"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: 42 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by LinkedIn Profile Scraper"],"headers":["LinkedIn Profile URL","Full Name","Headline","Title (current job)","Company Name (current job)","Location","First Name","Last Name","Summary","City","State","Country","Country Name","Employment Type (current job)","Description (current job)","Start Date (current job)","End date (current job)","Location (current job)","Company page URL (current job)","Company website (current job)","Company description (current job)","Company Industry (current job)","Company employee range (current job)","Title (job #2)","Employment Type (job #2)","Description (job #2)","Start Date (job #2)","End date (job #2)","Company Name (job #2)","Title (job #3)","Employment Type (job #3)","Description (job #3)","Start Date (job #3)","End date (job #3)","Company Name (job #3)","School (education)","Degree (education)","Field of Study (education)","Start Date (education)","End date (education)","Languages","Connections","LinkedIn Profile URL Normalized"],"caption":"Sample input and output.","scrollHint":"43 columns, scroll →","footer":"Scroll sideways to see all 43 columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many LinkedIn profiles you need to scrape and we'll show you the cheapest way to get them.","unitsLabel":"Profiles to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"cachedLabel":"Accept cached profiles (20 credits instead of 25)","resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. A profile costs 25 credits for fresh data, or 20 if you allow cached profiles. Unlike pay-per-result enrichments, you are charged for every profile the scraper processes, so clean malformed URLs out of your list before a large run. Plan credits renew every month and reset if unused, so they are sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, which makes them the better fit for one-off spikes.","profileHint":"= {credits} credits at {rate} credits per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist loads each public LinkedIn page, parses it, and writes the fields you picked straight into your collection.","steps":[{"label":"Step 1","title":"Upload your profile URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Standard profile URLs and Sales Navigator lead URLs both work, and you can mix them in the same column."},{"label":"Step 2","title":"Datablist reads the public page","body":"Datablist loads and parses each public profile itself. It never asks for your LinkedIn credentials and never acts as your account, which is why running it cannot get your profile restricted."},{"label":"Step 3","title":"Up to 40 fields land in your list","body":"Choose the outputs you want and Datablist writes them into new columns: name, headline, summary, location, work history, education, and firmographics for the current employer."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made workflows built around LinkedIn profile data.","cards":[{"title":"Employee & Talent Finder","description":"Find people at a company, filtered by role.","imageAlt":""},{"title":"Founders Finder","description":"Surface the founders behind a list of companies.","imageAlt":""},{"title":"Company Name to LinkedIn","description":"Resolve company names to their LinkedIn pages.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Scrape LinkedIn Leads","imageAlt":"How To Scrape LinkedIn Leads"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the LinkedIn Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from a LinkedIn URL using 20+ providers at once.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Unlock direct mobile numbers from the same LinkedIn profile URLs.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public company data from LinkedIn company page URLs.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about account safety, billing, and the data you get back."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Profile Scraper","description":"Run Datablist's LinkedIn Profile Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Doesn’t Risk Your Account","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Include LinkedIn Internal ID (URN)","Checkbox","Return the internal LinkedIn identifier, used to build Sales Navigator URLs. Requires fresh data; unavailable with Accept cached profiles"],["Include Pictures","Checkbox","Return the profile picture and company logo URLs. These links expire quickly. Requires fresh data; unavailable with Accept cached profiles"],["Accept cached profiles","Checkbox","Allow cached results when available at 20 credits. Fresh fallback results can cost 25. Cannot be combined with Include LinkedIn Internal ID (URN) or Include Pictures"],["Experiences to return","Select","How many work experiences to return: 3, 5, or 10. Defaults to 3"],["Educations to return","Select","How many education entries to return: 1, 3, or 5. Defaults to 1"]]},{"title":"Inputs","rows":[["Person's LinkedIn Profile","Text","The profile URL. Works with linkedin.com/in/xxx and Sales Navigator lead URLs"]]},{"title":"Outputs","rows":[["LinkedIn Profile URL Normalized","Url","The clean public profile URL, in the format linkedin.com/in/xxx"],["First Name / Last Name / Full Name","Text","The name on the profile, split and combined"],["Headline","Text","The tagline shown under the name on the profile"],["Summary","Text","The longer About blurb written by the person"],["City / State / Country / Country Name","Text","Location fields, with the country as a 2-letter ISO code and in words"],["Location","Text","The full location string as shown on the profile"],["Title (Current or last experience)","Text","Job title of the current or most recent role"],["Description (Current or last experience)","Text","The role description, where the profile has one"],["Start Date / End date (Current or last)","Date","Role dates. The end date is empty while the role is still active"],["Company Name (Current or last experience)","Text","Employer name on the current or most recent role"],["Company page URL / website","Text","The employer's LinkedIn page and its own website"],["Company description / industry / employee range","Text","Firmographics for the current employer, e.g. 11-50"],["Title, dates and company (Experience #2 to #10)","Text","Past roles, up to the number set in Experiences to return"],["Education entries","Text","School, degree, and dates, up to the number set in Educations to return"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Find LinkedIn Profiles From a Name","imageAlt":"How To Find LinkedIn Profiles From a Name"}]}},"corner":{"title":"Try it for Free","body":"Scrape every detail from your LinkedIn profile URLs. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentCompanyNameCleaner":{"metadata":{"title":"Company Name Cleaner - Clean Company Names in Bulk | Datablist","description":"Clean messy company names in bulk with AI. Remove LLC, Inc. and GmbH, fix casing and standardize names for outreach and your CRM. 0.5 credits per name."},"breadcrumb":"Company Name Cleaner","tabs":["Overview","How to use"],"hero":{"title":"Company Name Cleaner","description":"Fix messy company names in bulk. AI removes legal forms like LLC and GmbH, fixes casing and standardizes every name.","trust":["0.5 Credits per Name","Removes Legal Form","Perfect for Outreach"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Clean 1,000 company names free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Company Name Cleaner uses AI to turn raw company names into short, conversational names ready for outreach. It understands context instead of matching a fixed list of suffixes.","cards":[{"title":"What you give","items":["Company Name: The column with your messy names","Keep Legal Forms: Optional setting, off by default","Any language: Handles GmbH, SAS, Inc. and Ltd."],"links":["See full input reference"]},{"title":"What you get","items":["Cleaned Company Name: A normalized name for outreach or your CRM","Fixed casing: BESTFOODserviceGmbH becomes Bestfood Service","Company Name Confidence: Optional High, Medium, Low, or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.5 Credits per Name: 1,000 names cost 500 credits","Cached Names Cost 0: Matching requests reuse a cached result","Failed Rows Cost 0: Only successful uncached names use credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Outputs: Cleaned Company Name and optional Company Name Confidence.","groups":["Your data","Added by Company Name Cleaner"],"headers":["Company Name","Cleaned Company Name","Company Name Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many company names you need to clean and we'll show you the cheapest way to clean them.","unitsLabel":"Company names to clean","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"The Company Name Cleaner costs 0.5 credits per successful uncached name. The estimate counts every name you enter once. Matching cached requests cost 0 credits, so lists with repeated names can cost less. Failed rows cost 0 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","cleanerHint":"= {credits} credits at {rate} credits per name","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Upload the names, run the cleaner and get one clean column back.","steps":[{"label":"Step 1","title":"Upload your company names","body":"Import a CSV or Excel file and pick the column that holds the messy names. Your other columns stay untouched."},{"label":"Step 2","title":"AI cleans every name","body":"The AI removes legal forms such as LLC, Inc., GmbH and SAS, splits joined words and fixes casing. It reads the whole name, so a brand like Boston Consulting Group keeps its core name."},{"label":"Step 3","title":"Keep or remove legal forms","body":"One setting decides whether legal forms stay. Remove them for outreach, or keep them when your CRM needs the entity type. Matching cached requests cost 0 credits."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Clean company name","description":"Clean and standardize company names.","imageAlt":""},{"title":"Clean job title","description":"Remove unnecessary characters and normalize case.","imageAlt":""},{"title":"Correct capitalization","description":"Fix the capitalization of sentences and proper nouns.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Company Name Cleaner with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or the reverse.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes removed and casing fixed. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about company name cleaning, accuracy and credits."},"guide":{"hero":{"title":"How to use Datablist's Company Name Cleaner","description":"Run Datablist's Company Name Cleaner on your own list in 6 steps, no code needed. 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. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Find Company Domain from Company and Employee Names","description":"Find a company's official domain using its name and an employee's full name to identify and verify the correct company.","imageAlt":"Find Company Domain from Company and Employee Names"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Search with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Search","description":"Find people at a company by job title and seniority.","imageAlt":"Waterfall People Search"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Search","description":"Run Datablist's Apollo.io People Search on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Get your API key on developer.apollo.io/keys."],["Person Titles","Text","Comma-separated list of person's titles. For example: sales director, engineer manager. The query will return results matching ANY of the titles passed in. You must define at least one Person Title or Person Seniority."],["Titles Fallback 1","Text","Search other job titles when no profile matches the main title list. Optional."],["Titles Fallback 2","Text","Search other job titles when no profile matches the \"Titles Fallback 1\" list. Optional."],["Titles Fallback 3","Text","Search other job titles when no profile matches the \"Titles Fallback 2\" list. Optional."],["Person Seniority","Select (multiple)","Select one or more seniority levels. Apollo returns people matching any selected level. You must define at least one Person Title or Person Seniority."],["Number of persons returned per search","Number","Default to 1. Max 3."]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain. Ex: google.com"],["Company name (optional)","Text","Company name is used as fallback if the company domain has yielded no result. This can be the case with companies that have several domains (.fr, .es, .com, etc.)."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","Returned by Apollo."],["Job Start Date #1","Text","Returned by Apollo."],["Seniority #1","Text","Returned by Apollo."],["City #1","Text","Returned by Apollo."],["Country #1","Text","Returned by Apollo."],["Company LinkedIn Page #1","Url","Returned by Apollo."],["Apollo Person ID #1","Text","Unique Apollo identifier for the person."],["Work Email Address #1","Email","Work email returned by Apollo Bulk People Enrichment."],["Email Status #1","Text","Apollo verification status for the work email."],["Email Domain Catch-all #1","Boolean","Whether Apollo identifies the email domain as catch-all."],["Email Domain Catch-all Verdict #1","Text","Apollo's catch-all verdict for the email domain."],["Email Confidence #1","Number","Apollo confidence score for an extrapolated email."],["Profile Photo #1","Url","Profile photo URL."],["Twitter/X Profile #1","Url","Twitter or X profile URL."],["GitHub Profile #1","Url","GitHub profile URL."],["Facebook Profile #1","Url","Facebook profile URL."],["State/Region #1","Text","Person's state or region."],["Formatted Address #1","Text","Person's formatted location or address."],["Street Address #1","Text","Person's street address when available."],["Postal Code #1","Text","Person's postal code."],["Time Zone #1","Text","Person's time zone."],["Departments #1","Text","Apollo department classifications for the person."],["Subdepartments #1","Text","Apollo subdepartment classifications for the person."],["Functions #1","Text","Apollo job-function classifications for the person."],["Employment History #1","LongText","Complete employment history returned by Apollo, formatted as JSON."],["Apollo Organization ID #1","Text","Unique Apollo identifier for the current organization."],["Organization Name #1","Text","Name of the person's current organization."],["Intent Strength #1","Text","Apollo intent-strength value when available."],["Intent Available #1","Boolean","Whether Apollo exposes intent data for the person."],["Company Domain #1","Text","Primary domain of the current organization."],["Company Website #1","Url","Website URL of the current organization."],["Company Twitter/X #1","Url","Twitter or X URL of the current organization."],["Company Facebook #1","Url","Facebook URL of the current organization."],["Company AngelList #1","Url","AngelList URL of the current organization."],["Company Crunchbase #1","Url","Crunchbase URL of the current organization."],["Company Logo #1","Url","Logo URL of the current organization."],["Company Phone #1","Text","Main phone number of the current organization."],["Company Founded Year #1","Number","Year the current organization was founded."],["Company Industry #1","Text","Primary industry of the current organization."],["Company Industries #1","Text","Industries associated with the current organization."],["Company Secondary Industries #1","Text","Secondary industries associated with the current organization."],["Company Keywords #1","LongText","Keywords associated with the current organization."],["Company Estimated Employees #1","Number","Apollo's estimated employee count for the current organization."],["Company Revenue #1","Number","Numeric revenue estimate for the current organization."],["Company Revenue (Formatted) #1","Text","Formatted revenue estimate returned by Apollo."],["Company Headcount Growth (6 Months) #1","Number","Six-month organization headcount growth."],["Company Headcount Growth (12 Months) #1","Number","Twelve-month organization headcount growth."],["Company Headcount Growth (24 Months) #1","Number","Twenty-four-month organization headcount growth."],["Company Alexa Ranking #1","Number","Alexa ranking returned by Apollo."],["Company Formatted Address #1","Text","Formatted address of the current organization."],["Company Street Address #1","Text","Street address of the current organization."],["Company City #1","Text","City of the current organization."],["Company State/Region #1","Text","State or region of the current organization."],["Company Postal Code #1","Text","Postal code of the current organization."],["Company Country #1","Text","Country of the current organization."],["Company Languages #1","Text","Languages associated with the current organization."],["Company NAICS Codes #1","Text","NAICS industry classification codes."],["Company SIC Codes #1","Text","SIC industry classification codes."],["Company Stock Symbol #1","Text","Public stock symbol of the current organization."],["Company Stock Exchange #1","Text","Public stock exchange of the current organization."],["Company Retail Location Count #1","Number","Number of retail locations reported by Apollo."],["Total Query Results","Number","The total number of profiles maching the query"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find the right people at a list of companies with your own Apollo key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Search"},"EnrichmentApolloPeopleEnrichment":{"metadata":{"title":"Apollo.io People Enrichment - Enrich Contacts With Apollo in Bulk | Datablist","description":"Enrich contacts with the Apollo.io People Enrichment API from a CSV or Excel file. Get LinkedIn URL, job title, email and phone number. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Enrichment","description":"Enrich a list of contacts with Apollo: LinkedIn URL, job title, email, phone number and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Match by Email or LinkedIn","Social Profiles and Location"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Enrichment enriches contacts with the Apollo.io API. Provide a LinkedIn URL or an email, or a name with a company, and it returns the profile details Apollo has.","cards":[{"title":"What you give","items":["A LinkedIn URL or an Email: Either one is enough on its own","Or a Name and a Company: First and last name, or full name, with a company domain or name","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Contact Details: Email, phone number, title, seniority and LinkedIn URL","Profiles and Location: Twitter or X, Facebook, city, state and country","Company Details: Company name, LinkedIn page and website"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Full Name and Company Domain. Output: Email from Apollo, Title, LinkedIn URL and Seniority.","groups":["Your data","Added by Apollo.io People Enrichment"],"headers":["Full Name","Company Domain","Email from Apollo","Title","LinkedIn URL","Seniority"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it a LinkedIn URL, an email, or a name with a company, and get the contact details back.","steps":[{"label":"Step 1","title":"Import your contacts","body":"Upload a CSV or Excel file with your contacts. The most reliable inputs are a LinkedIn profile URL or an email. A first name, last name and company domain also work."},{"label":"Step 2","title":"Paste your key and map inputs","body":"Paste your Apollo API key and map the columns that identify each person. Skip the inputs you do not have, since one strong identifier is enough. Test on the first 10 rows before you run the whole list."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each contact and writes the details into new columns. Filter the rows with empty output columns to find the people Apollo could not match. Fix the source data and rerun those rows."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Enrichment with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email, a LinkedIn URL or a name.","imageAlt":"Waterfall People Enrichment"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Enrichment","description":"Run Datablist's Apollo.io People Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["First Name","Text","Person's first name. Ex: Tim"],["Last Name","Text","Person's last name. Ex: Zheng"],["Full Name","Text","Person's full name (if you don't have the first name and last name split). Ex: Tim Zheng. We recommend using the First Name and Last Name fields instead for better results."],["Email","Email","Person's email (optional). Ex: example@domain.com. If you have the person's email, you don't need to map the other input fields."],["LinkedIn Url","Text","Person's LinkedIn URL. If you provide the LinkedIn URL, do not map the name or other fields. This gives the best results."],["Company Name","Text","Person's company name (optional). Ex: Datablist"],["Company Domain","Text","Person's company domain (optional). Ex: datablist.com. Recommended over just the company name."]]},{"title":"Outputs","rows":[["Email from Apollo","Email","Person's email"],["Phone Number","Text","The matched company's business phone number, when available. This integration does not enable mobile-phone reveal."],["Title","Text","Person's job title. Ex: Sales Executive, CEO, etc."],["Seniority","Text","Person's seniority. Ex: entry, vp, c_suite"],["LinkedIn URL","Url","Person's LinkedIn url."],["Twitter URL","Url","Person's Twitter url."],["Facebook URL","Url","Person's Facebook url."],["Github URL","Url","GitHub URL output. Currently empty in this integration."],["State","Text","The person's state or region."],["City","Text","The person's city."],["Country","Text","The person's country."],["Company Name from Apollo","Text","Person's company name."],["Company LinkedIn URL","Url","Person's company LinkedIn url."],["Company Website","Url","Person's company website."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]}},"corner":{"title":"Try it for Free","body":"Enrich contacts with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Enrichment"},"EnrichmentApolloCompanyEnrichment":{"metadata":{"title":"Apollo.io Company Enrichment - Enrich Domains With Apollo in Bulk | Datablist","description":"Enrich company domains with the Apollo.io Organization Enrichment API from a CSV or Excel file. Get industry, employees, address and social URLs. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io Company Enrichment","description":"Enrich a list of company domains with Apollo: industry, employees, address, social URLs and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","20 Data Fields per Company","Social URLs and Address"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io Company Enrichment enriches company domains with the Apollo.io Organization Enrichment API. Give it a domain and it returns the social URLs, industry, size, address and more.","cards":[{"title":"What you give","items":["A Company Domain: One domain per row, for example google.com","Your Apollo API Key: Pasted into the settings","No Other Settings: Map the domain, choose outputs and run"],"links":["See full input reference"]},{"title":"What you get","items":["Company Basics: Name, website, description, industry and founded year","Size, Phone and Address: Employees, phone number and the full address","Social Links: LinkedIn, Twitter or X, Facebook, Crunchbase and AngelList"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Domain. Output: Company Name, Company Industry, Estimated Number of Employees, City and Country.","groups":["Your data","Added by Apollo.io Company Enrichment"],"headers":["Domain","Company Name","Company Industry","Estimated Number of Employees","City","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io Company Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and get firmographic data back.","steps":[{"label":"Step 1","title":"Import your domains","body":"Upload a CSV or Excel file with one company domain per row. A clean domain, such as google.com, is all the enrichment needs to find a company."},{"label":"Step 2","title":"Paste your key and map the domain","body":"Paste your Apollo API key and map the Domain input to your domain column. There are no other settings to configure, so you can go straight to choosing outputs. Start with a test on the first 10 rows."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each domain and writes the company data into new columns. Filter the rows with empty output columns to find the domains Apollo could not match. Fix those domains and run the rows again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data extraction from website","description":"Visit a website, search for the About Page, and extract information about the company (summary, industry, number of employees) and its found social links.","imageAlt":"Company Data extraction from website"},{"title":"Company enrichment from company name","description":"Find and enrich a company using its name. Prioritizes fast exits when no reliable online presence exists.","imageAlt":"Company enrichment from company name"},{"title":"Get Company Sector","description":"Figure out the company's sector using the LLM knowledge, a company database, or by checking the website.","imageAlt":"Get Company Sector"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io Company Enrichment with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company Enrichment"},{"title":"Identify Technologies on Websites","description":"Find the technology stack of any website.","imageAlt":"Identify Technologies on Websites"},{"title":"LinkedIn Company Page Scraper","description":"Scrape company data from LinkedIn company pages.","imageAlt":"LinkedIn Company Page Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io Company Enrichment","description":"Run Datablist's Apollo.io Company Enrichment on your own list in 8 steps, no code needed. 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Ex: https://app.apollo.io/#/accounts/6758625db51a1202d1948b97"],["Twitter URL","Url","The company Twitter url."],["Facebook URL","Url","The company Facebook url."],["Crunchbase URL","Url","The company Crunchbase url."],["AngelList URL","Url","The company AngelList url."],["Company Phone","Text","The company Phone Number"],["Company Industry","Text","The company industry."],["Company Description","LongText","The company description."],["Founded Year","Number","The year the company was founded."],["Estimated Number of Employees","Number","The estimated number of employees."],["Company Full Address","Text","The full company postal address"],["Street Address","Text","The street address component from the full address"],["City","Text","The city component from the full address"],["State","Text","The state component from the full address"],["Postal Code","Text","The Postal Code component from the full address"],["Country","Text","The company country."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]}},"corner":{"title":"Try it for Free","body":"Enrich company domains with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io Company Enrichment"},"EnrichmentAskClaudeAI":{"metadata":{"title":"Ask Anthropic/Claude AI - Run Claude on Every CSV or Excel Row | Datablist","description":"Run a Claude prompt on every row of a CSV or Excel file. 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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. It searches Google, opens websites, reads them, and fills in your columns for every row in your list."},"tabs":["Overview","How to use"],"hero":{"title":"AI Research Agent","description":"Give the agent a goal and the fields you want back. It searches Google, reads the pages it finds, and fills in every row.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["Ready-Made Templates","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The AI Research Agent handles the work a database cannot: reading the live web. It searches Google, opens the pages it finds, understands what is on them, and returns the exact fields you asked for.","cards":[{"title":"What you give","items":["A Prompt: Plain English. Type / to pull in a column","Your Expected Outputs: Name each field you want back","Or a Ready-Made Template: Business Owner Finder and others, no prompt to write"],"links":["See full input reference"]},{"title":"What you get","items":["Your Own Output Fields: Whatever you defined, structured into columns","Confidence Score: Optional model assessment from 0 to 100; spot-check results against sources","Run Status: Says why a row came back empty"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Usage-Based Credits: Roughly 3 to 25 credits per row at default settings","Charged per Run, Not per Result: The agent does the work even when it finds nothing","Max Iterations Limits Research: Default 7 iterations per row; more iterations can cost more"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name and Website. Output: Pricing Model, Free Plan and Confidence Score.","groups":["Your data","Added by AI Research Agent"],"headers":["Company Name","Website","Pricing Model","Free Plan","Confidence Score"],"caption":"Pricing Model and Free Plan are example fields. You define your own output fields in the prompt.","scrollHint":"","footer":"Pricing Model and Free Plan are example fields. You define your own output fields in the prompt."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"The agent bills for the work it does, so this sizes your plan against the top of the range rather than the average.","unitsLabel":"Rows to research","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work, and why this is a range","creditsBody":"Unlike a fixed-price enrichment, the agent bills for what it actually does on each row: every Google search, every page it opens, every block of text it reads. A row it resolves from the first search result is cheap. A row that takes it through five pages is not. On a typical task at default settings that works out to somewhere between 3 and 25 credits per row, and credits are spent even on rows where it finds nothing. Max iterations limits research depth: raising it lets the agent dig deeper and raises the top of the estimated range with it. It is not a fixed credit cap. Treat the number as sizing guidance, not a quote. The range models the default model and one rendered scrape per row when Render HTML is enabled; more page visits or a different model can change the cost. Run a hundred rows first and read your real per-row cost off that. Plan credits renew monthly and reset if unused. Top-up credits never expire.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"settingsLabel":"Agent settings","iterationsLabel":"Max iterations per row","iterationOptions":["3 steps (tight, for simple lookups)","7 steps (default)","10 steps","15 steps"],"renderLabel":"Render HTML before scraping (+2 credits per scrape; estimates one scrape per row)","agentHint":"= {low} to {high} credits, at roughly {lowRate} to {highRate} credits per row"},"process":{"eyebrow":"The Process","title":"How it Works","description":"The agent runs your instruction once per row, on the live web, and writes structured results back into your columns.","steps":[{"label":"Step 1","title":"Tell it what you want","body":"Write the goal in plain English and pull your columns in by typing / and picking the property, for example: visit /Website and find the name and title of the owner. Or pick a ready-made template and skip the prompt entirely."},{"label":"Step 2","title":"It searches, opens, and reads","body":"For each row the agent runs Google searches, follows the links it finds, and reads the pages. Because it works from meaning rather than fixed selectors, it keeps working when a site's layout changes."},{"label":"Step 3","title":"Structured fields, not a blob of text","body":"You name the outputs up front, so results come back as real columns you can filter and sort. You can also add a confidence score from 0 to 100, and review run status when something went wrong."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made agent templates. 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は、データを扱うすべての方のためのツールです。初心者からパワーユーザーまで、どなたにもお使いいただけます。スプレッドシートのインターフェースと学習リソースにより、すぐに成果を上げていただけます。","INDUSTRIES_TITLE":"どの業界・チームで Datablist は活用されていますか？","INDUSTRIES_TEXT":"お客様の多くは営業、EC 運用、SaaS のグロース、ファイナンス領域ですが、特定の業界やチームに限定はしておりません。どのような組織でもご活用いただけます。","INTEGRATIONS_TITLE":"Datablist はどのようなツールと連携できますか？","INTEGRATIONS_TEXT":"Datablist は多くの CRM と連携でき、スクレイパーや email finder などの複数のサブスクリプションを削減・置き換えられます。さらに、当社の AI リサーチエージェントやデデュープアシスタントなど、他のプラットフォームにはないツールもご提供いたします。"},"FeatAIAgent":{"PAGE_TITLE":"AIエージェント：Webリサーチとデータ抽出を自動化","PAGE_DESC":"DatablistのAIエージェントを使えば、あらゆるウェブサイトをスクレイプし、Google検索を自動化し、シンプルな prompt 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複雑なページにも対応","STEP_3_DESC":"複数ページのリストをスクレイプしたいですか？ページネーションを有効にするだけです。全ページからデータを収集するために、エージェントが賢く「次へ」を見つけてクリックします。","STEP_4_TITLE":"4. データを抽出して構造化","STEP_4_DESC":"prompt に基づき、指定のデータポイントを抽出し、事前に設定した列にきれいに出力します。","USE_CASES_TITLE":"リード獲得から市場インテリジェンスまで：可能性は無限大","USE_CASE_LEAD_GEN_TITLE":"リード獲得を加速","USE_CASE_LEAD_GEN_DESC":"大規模に関連性の高いパーソナライズ要素を発見します。企業のケーススタディをスクレイプし、「About Us」ページでキーパーソンを特定したり、ドイツの「Impressum」ページから連絡先を抽出したりできます。","USE_CASE_LEAD_GEN_LINK":"ケーススタディをスクレイプする方法を見る","USE_CASE_ECOMMERCE_TITLE":"Eコマース & 商品スクレイピング","USE_CASE_ECOMMERCE_DESC":"複数のカテゴリーページにまたがる場合でも、あらゆるEコマースストアから商品名、価格、仕様、説明を抽出します。","USE_CASE_ECOMMERCE_LINK":"Eコマースサイトのスクレイピング方法を学ぶ","USE_CASE_REVIEWS_TITLE":"レビューとセンチメント分析","USE_CASE_REVIEWS_DESC":"TrustpilotやTrusted Shopsなどのレビュー・プラットフォームをスクレイピングして顧客フィードバックを集約。センチメントを分析し、共通テーマを特定して市場を把握します。","USE_CASE_REVIEWS_LINK":"Trustpilotをスクレイプするガイド","USE_CASE_RESEARCH_TITLE":"自動化された市場調査","USE_CASE_RESEARCH_DESC":"スプレッドシートの各行に対する繰り返しのGoogle検索を自動化します。競合ニュースをモニタリングし、業界トレンドを追跡し、レポートのためのデータ収集を手作業なしで行えます。","USE_CASE_RESEARCH_LINK":"Google検索を自動化する方法を学ぶ","VIDEO_TITLE":"AIエージェントの実演を見る","VIDEO_TEXT":"AIエージェントがドイツのウェブサイト一覧を巡回し、「Impressum」ページを見つけ、構造化された連絡先情報を抽出する様子をご覧ください—従来のスクレイパーでは不可能なタスクです。","TALK_TO_US_TEXT":"ウェブリサーチを自動操縦にする準備はできていますか？AIエージェントをお試しいただき、非構造化Webデータを実用的なインサイトへ変換し始めましょう。","CSV_EDITOR_DESCRIPTION":"オンラインでCSVファイルを管理できるモダンなCSVエディタ。ブラウザ上でデータを開いて編集できます。","LEAD_LIST_BUILDING":"リードリストを作成・クリーン化・エンリッチ","LEAD_BUILDING_DESCRIPTION":"大量のリードリストを深掘りするための最適なツールです。整理・エンリッチし、最適な見込み客を見つけます。"},"FeatAIEditing":{"PAGE_TITLE":"AI Editing: プロンプトでExcel・CSVタスクを自動化","PAGE_DESC":"複雑な数式やマクロは不要に。DatablistのAI 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AI Editingを開く","STEP_2_DESC":"「Edit」メニューから「AI Editing」を選択します。プロンプトを入力するインターフェースが開き、ここで魔法が始まります。","STEP_3_TITLE":"3. プロンプトを作成","STEP_3_DESC":"実行したいタスクを説明します。データを参照するには /ColumnName と入力して変数を使用できます。必要なだけ具体的に記述してください。","STEP_4_TITLE":"4. プレビューして実行","STEP_4_DESC":"AIがスクリプトを生成し、変更結果のライブプレビューを表示します。問題なければ「Run」をクリックして、リスト全体を即時に処理します。","USE_CASES_TITLE":"強力な活用例","USE_CASE_FIND_REPLACE_TITLE":"一括検索・置換","USE_CASE_FIND_REPLACE_DESC":"1つの指示でデータセット全体の数百項目を置換。カテゴリの標準化、よくある誤字の修正、商品情報の更新に最適です。","USE_CASE_FIND_REPLACE_LINK":"一括検索・置換の詳細を見る","USE_CASE_CLEANING_TITLE":"高度なデータクレンジング","USE_CASE_CLEANING_DESC":"会社名から法的接尾辞（LLC、Inc.）を除去したり、役職名や住所を標準化するなど、複雑なデータのクレンジングと正規化を行います。","USE_CASE_CLEANING_LINK":"会社名のクレンジング方法を見る","USE_CASE_SCORING_TITLE":"カスタムリード＆データスコアリング","USE_CASE_SCORING_DESC":"データの複数条件に基づく高度なスコアリングモデルを作成できます。ポイント付与、リードのランク付け、リストの優先順位付けを、数式なしで実現します。","USE_CASE_SCORING_LINK":"AIでリードをスコアリングする方法を学ぶ","USE_CASE_TRANSFORM_TITLE":"複雑なデータ変換","USE_CASE_TRANSFORM_DESC":"テキストの特定部分の抽出から条件ロジックの実行まで、標準的なスプレッドシート関数では困難な変換もAI Editingが処理します。","USE_CASE_TRANSFORM_LINK":"データクレンジングの例をもっと見る","VIDEO_TITLE":"AI Editingの実演を見る","LEAD_BUILDING_DESCRIPTION":"大量のリードリストを深掘りするための最適なツール。整理・エンリッチして、理想的な見込み客を見つけましょう。","VIDEO_TEXT":"シンプルなプロンプトでカタログの単位を更新する方法をご覧ください。数式不要、手間いらず。","TALK_TO_US_TEXT":"スプレッドシートの手作業に時間を浪費するのはもうやめませんか？AI Editingをぜひお試しください。今日からデータのワークフローが変わります。","CSV_EDITOR_DESCRIPTION":"CSVファイルをオンラインで管理できるモダンなCSVエディタ。ブラウザで直接開いて編集できます。","LEAD_LIST_BUILDING":"リードリストの構築・クレンジング・エンリッチ","SEE_ALSO":"関連情報"},"FeatCombine":{"PAGE_TITLE":"無料でCSVファイルを統合・マージ","PAGE_DESC":"共通の識別子カラムに基づいてCSVデータリストを結合します。","FEATURE":"機能","NOSIGNUP":"サインアップ不要","100%ONLINE":"100% オンライン","EASY_TO_USE":"簡単に使えます","HERO_TITLE":"無料でCSVファイルを統合・マージ","HERO_DESC":"共通の識別子カラムに基づいてCSVデータリストを結合します。","DATA_RECONCILIATION_DEF":"データリコンシリエーション（データ照合）とは？","DATA_RECONCILIATION_DEF_DESC_1":"データリコンシリエーションは、異なるソースのデータを比較し、整合させるプロセスです。これは、関連する情報を持つ複数のデータソースが存在する場合に一般的に行われます。","DATA_RECONCILIATION_DEF_DESC_2":"これらのソースには、データベース、スプレッドシート、ソフトウェアシステム、さらには手作業の記録が含まれます。目的は、データを突き合わせて、単一で信頼できる一貫性のあるデータセットを作成することです。","DATA_RECONCILIATION_DEF_DESC_3":"データリコンシリエーションは、疎なデータ同士をつなぐことで意思決定に役立つインサイトを提供します。会計、在庫管理、マーケティングなどで広く活用されています。","JOIN_TITLE":"CSVファイルを1つのコレクションに結合","JOIN_DESC_1":"GoogleスプレッドシートやMicrosoft Excelは経理業務には便利ですが、データ管理機能は十分ではありません。データサイエンティスト向けにはETL（Extract, Transform, Load）といった専門ツールもありますが、非技術者の方には扱いやすいとはいえません。","JOIN_DESC_2":"Datablistでは、CSVファイルを統合するために使用する項目（キー）を指定するだけで、あとはツールが処理します。","SEE_TUTO":"チュートリアルを見る","TALK_TO_US_TEXT":"Datablistをお試しいただき、リスト統合がいかに簡単かをご体験ください。すでに18,000人以上のユーザーが活用しています。","MERGE_TITLE":"複数ソースのデータをマージ","MERGE_DESC_1":"デジタルの世界では、リスト管理は日常的な業務です。たとえば、次のような場合です。","MERGE_EX_1":"顧客の統合ビュー（Single View）を構築する","MERGE_EX_2":"複数のソースから見込み客リストを作成する","MERGE_EX_3":"連絡先情報でメーリングリストをエンリッチする","MERGE_DESC_2":"このような用途には、Datablistのようなツールでデータをマージ・管理することが有効です。","WHEN_COMBINE_DATA":"データファイルを結合すべきタイミング","WHEN_COMBINE_TITLE_1":"顧客ファイルを統合","WHEN_COMBINE_DESC_1":"顧客のシングルビューを実現するには、顧客ファイルの統合が不可欠です。企業は営業、マーケティング、カスタマーサポート、オンラインプラットフォームなど、さまざまなタッチポイントで顧客と接点を持つため、価値あるデータが複数のシステムやデータベースに分散しがちです。emailアドレスやその他の一意の識別子で顧客データを結合します。そうすることで、マーケティング、営業、カスタマーサービスなど、すべてのチームがこの統合された包括的なビューにアクセスできるようになります。","WHEN_COMBINE_TITLE_2":"注文データを商品カタログでエンリッチ","WHEN_COMBINE_DESC_2":"ECでは、主に商品リストと注文リストという2つのリストを管理します。注文リストには、購入された商品の参照が含まれます。商品属性を注文リストに統合することで、販売からインサイトを得られます。たとえば、よく売れている主要カテゴリなどです。自社サイトのトラフィック統計など、外部データもあわせて統合できます。","WHEN_COMBINE_TITLE_3":"企業データを集約して見込み客リストを構築","WHEN_COMBINE_DESC_3":"見込み客リストを構築する際、企業に関するデータが多いほど、見込み客を細かくセグメントできます。データ統合は、外部データソースを用いて<doc>見込み客リストをエンリッチする</doc>のに有用です。従業員数、直近の資金調達ラウンド、売上、推定Webトラフィックなどが該当します。潜在的な見込み客について正確で最新の情報を把握できれば、lead scoringを改善し、不適格な見込み客に費やす時間を削減できます。","WHEN_COMBINE_LINK_3":"見込み客リスト構築について詳しく見る","WHEN_COMBINE_TITLE_4":"leadsをマーケティングデータでエンリッチ","WHEN_COMBINE_DESC_4":"ウェブサイトのアナリティクス、ソーシャルメディアの指標、顧客とのインタラクションなど、さまざまなソースのデータをまとめることで、オーディエンスを包括的に把握できます。データ統合の代表的な活用例は、emailキャンペーンの結果をleadsリストに反映することです。emailを開封・クリックしたleadsをハイライトし、LinkedInなどの他のソーシャルネットワークでターゲティングします。統合データでleadsをエンリッチすることで、コンバージョンが向上し、関心の低いleadsに時間やコストを費やすことを避けられます。"},"FeatDuplicates":{"PAGE_TITLE":"無料の重複排除ツール","PAGE_DESC":"複数列のいずれかでリストの重複を排除します。ノーコードで設定でき、非技術者の方にも簡単にお使いいただけます。","SEE_ALSO":"こちらもご覧ください","LEARN_MORE":"詳しく見る","GET_STARTED":"今すぐ始める！","FEATURE":"機能","NOSIGNUP":"サインアップ不要","100%ONLINE":"100% オンライン","EASY_TO_USE":"かんたん操作","NO_TECHNICAL_REQUIRED":"技術的な知識は不要です","NOCODE_CONF":"ノーコード設定","EXPORT_CSV_TITLE":"CSV または Excel へエクスポート","EXPORT_CSV_DESC_1":"データを他のアプリやスプレッドシートに移行しますか？","EXPORT_CSV_DESC_2":"<0>データの所有権は常にお客様にあります</0>。選択したアイテムまたはコレクション全体を CSV もしくは Microsoft Excel ファイルとしてエクスポートできます。","EXPORT_CSV_DESC_3":"生成される CSV ファイルは Google スプレッドシートなど一般的なアプリケーションと互換性があります。","OK_GO":"OK、始めましょう！","RESOURCES":"リソース","AI_TITLE":"AI による重複処理","AI_TEXT":"シンプルなプロンプトで新しいデータを生成し、既存情報を編集し、ゼロからシステムを構築できます。","CSV_EDITOR_DESCRIPTION":"最新のオンライン CSV エディタ。CSV ファイルを開いて、ブラウザーで直接データを編集できます。","LEAD_BUILDING_DESCRIPTION":"大量のリードリストを深掘りする最適なツール。整理・エンリッチし、理想的な見込み客を見つけます。","COMBINE_DESCRIPTION":"複数ソースのリストファイルを 1 つのコレクションに結合します。非技術者の方にも簡単に使えます。","TALK_TO_US_TEXT":"Datablist をお試しいただき、データマッチングやレコードの重複排除がどれほど簡単かをご体験ください。すでに 18,000 名以上のユーザーが利用しています！","HERO_TITLE":"無料の重複削除ツール","DESCRIPTION":"ついに、Excel に代わる使いやすい重複排除ツールが登場。CSV や Excel ファイル内の重複値を検出・マージ・削除できます。","DEDUPLICATION_DEF_TITLE":"データの重複排除とは？","DEDUPLICATION_DEF_DESC_1":"データの重複排除（<doc>デデュープ</doc>）は、データセットから重複レコードを取り除くプロセスです。","DEDUPLICATION_DEF_DESC_2":"一意のリストを維持するにはデデュープが不可欠です。メーリングリストを使うマーケティング、リードジェネレーション、顧客管理、あるいは EC の商品カタログ管理など。2 つのエントリが同一の実体を指す場合、それらは重複です。同じ email アドレスを持つ 2 件のリード、同じバーコードを持つ 2 つの商品などが該当します。","DEDUPLICATION_DEF_DESC_3":"重複はデータ品質を損ない、生産性を低下させます。重複をなくす方法は 2 つあります。削除するか、類似エントリを 1 件にマージして統合するかです。","DEDUPLICATION_DEF_DESC_4":"重複の削除は簡単で、アルゴリズムが重複エントリを見つけ、1 件を除いて削除します。重複のマージは、重複エントリを分析し統合して 1 つのマスターレコードにする必要があります。","DUPLICATES_MODE_TITLE":"1 つまたは複数のデータコレクションで、全項目または選択項目を解析","DUPLICATES_MODE_DESC_1":"Datablist Duplicates Finder は、全アイテム比較または選択したプロパティでの比較に対応します。","DUPLICATES_MODE_DESC_2":"Selected Properties モードを使えば、email アドレスに基づいて重複コンタクトを検出したり、ウェブサイト URL によって企業リストの重複を見つけたりできます。","DUPLICATES_MODE_DESC_3":"Datablist Duplicates Finder は、1 つまたは複数のリストで動作します。複数リストの場合、重複排除アルゴリズムはフィールドマッピングを用いて、データセット間でレコードを比較します。","MERGE_TITLE":"重複の削除または統合","DUPLICATES_PREVIEW_TITLE":"重複のプレビュー","DUPLICATES_PREVIEW_DESC_1":"Datablist は検出した重複を一覧表示し、実行する操作を選択できるようにします。","DUPLICATES_PREVIEW_DESC_2":"詳細ドロワーで重複アイテムを開き、情報を編集・マージできます。あるいは重複をそのまま削除することもできます。","DUPLICATES_AUTO_MERGING_TITLE":"競合のない重複を自動マージ","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist は、情報を失うことなくマージできるすべての重複値を自動的に見つけます。","DUPLICATES_AUTO_MERGING_BULLET_1":"重複アイテムのプロパティ値がすべて同一の場合、1 件だけを残し、残りは削除します。","DUPLICATES_AUTO_MERGING_BULLET_2":"重複アイテムが相補的な場合は、情報量が最も多いアイテムをプライマリアイテムとして選択し、そのプロパティ値を他のアイテムの値で補完します。その後、プライマリ以外のアイテムはすべて削除します。","DUPLICATES_AUTO_MERGING_BULLET_3":"重複アイテムに競合するプロパティ値がある場合は、自動処理をスキップし手動マージに回します。","MERGING_ASSISTANT_TITLE":"競合する値はマージアシスタントで手動確認","MERGING_ASSISTANT_DESC_1":"自動マージが難しい場合は、Datablist のマージアシスタントで保持する値を選び、アイテムを統合してください。","MERGING_ASSISTANT_DESC_2":"情報量が最も多いアイテムがマスターアイテムに選ばれ、セカンダリーアイテムから補完値を受け取ります。","DUPLICATES_DEDUPE_TITLE":"誰でも使える DeDupe ツール","DUPLICATES_DEDUPE_DESC_0":"これまでの重複排除ツールは技術者向けで、設定項目が多く扱いづらいものでした。","DUPLICATES_DEDUPE_DESC_1":"Datablist ならデータ操作が簡単に！データの重複排除がついに誰でも使えるようになりました。","DUPLICATES_DEDUPE_DESC_2":"数十万件のレコードでも、Web ブラウザー上で直接デデュープできます。","DUPLICATES_AUTO_MERGE_TITLE":"インポート時の自動マージ","DUPLICATES_AUTO_MERGE_DESC_1":"Duplicates Finder に加えて、コレクションのプロパティに 'Unique values' 設定を適用できます。","DUPLICATES_AUTO_MERGE_DESC_2":"データインポート中に、取り込みファイルのアイテムがコレクション内やファイル内の他のアイテムと重複している場合、マージモードに従ってマージまたは削除されます。","DATA_DEDUP_WHEN_TITLE":"データ重複排除はいつ使うべき？","DATA_DEDUP_WHEN_MAIL_TITLE":"メーリングリストのデデュープ","DATA_DEDUP_WHEN_MAIL_DESC_1":"時間の経過とともに、ウェビナー参加者、購入者、フリーミアムユーザーなど、複数のソースがメーリングリストに流入します。1 つの email アドレスが複数回登録されることがあります。","DATA_DEDUP_WHEN_MAIL_DESC_2":"重複した email アドレスは、余分なコストやスパム的な挙動、配信停止後もメールを受け取り続けることによるユーザーの不満など、マーケティング施策に悪影響を与えます。","DATA_DEDUP_WHEN_MAIL_LINK":"メーリングリストをクリーンアップする方法","DATA_DEDUP_WHEN_EXCEL_TITLE":"Microsoft Excel の重複排除","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets や Microsoft Excel などのスプレッドシートには基本的な重複排除機能があります。列内の重複をハイライトしたり削除したりできます。Datablist の自動マージと手動のマージアシスタントで、複雑な重複レコードにも対応できます。","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist は CSV と Excel ファイルをどちらも開けます。","DATA_DEDUP_WHEN_EXCEL_LINK":"Excel ファイルをデデュープする方法","DATA_DEDUP_WHEN_LEAD_TITLE":"リード/見込み客の重複排除ツール","DATA_DEDUP_WHEN_LEAD_DESC_1":"B2B マーケティングでは、見込み客データベースの品質がキャンペーン成果に直結します。<doc>重複リード</doc>を含む汚れたデータリストは、ストレージコストを増やし、リードトラッキングの効率を下げ、営業チームにフラストレーションをもたらします。","DATA_DEDUP_WHEN_LEAD_DESC_2":"Datablist で <doc>リードジェネレーション</doc>のプロセスを管理しましょう。あるいは CRM データやリードリストを Datablist にインポートしてクリーンアップできます。","DATA_DEDUP_WHEN_LEAD_LINK":"リードリストを重複排除する方法","DATA_DEDUP_WHEN_CSV_TITLE":"CSV ファイルのデデュープ","DATA_DEDUP_WHEN_CSV_DESC_1":"CSV データのクレンジングは時間がかかります。データエンジニアは Python などのプログラミング言語で CSV を解析・クリーンアップします。Datablist は非技術者向けに、<a1>CSV ファイル</a1>でデータクレンジングを行えるノーコードツールを提供します。<a2>数十万行の CSV</a2> を開いて、重複レコードを高速に処理できます。","DATA_DEDUP_WHEN_CSV_LINK":"CSV ファイルをデデュープする方法","SEE_ALSO_CSV_EDITOR":"CSV エディタ","SEE_ALSO_GUIDE_EXCEL":"ガイド：Excel ファイルで重複行をデータを失わずにマージする","SEE_ALSO_GUIDE":"ガイド：CSV の重複を削除する","SEE_ALSO_GUIDE_LARGE_CSV":"ガイド：大きな CSV をオンラインで編集する","SEE_ALSO_COMBINE":"CSV ファイルを結合","LEAD_LIST_BUILDING":"リードリストの構築・クレンジング・エンリッチメント","FIND_DUPLICATE_ONLINE_TITLE":"オンラインで重複を検出・削除","FIND_DUPLICATE_ONLINE_DESC_1":"データ内の重複を即座に検出・マージ・排除します。使いやすい Web インターフェースで、面倒なインストールなくあらゆるデバイスから利用できます。","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist は高度なアルゴリズムで重複を素早く特定し、時間を節約してミスを防ぎます。手作業の検索に別れを告げ、効率化されたワークフローを実現しましょう。","FUZZY_MATCHING_TITLE":"あいまい一致での重複排除","FUZZY_MATCHING_ONLINE_DESC_1":"あいまいデデュープアルゴリズムは、レコード間の距離を算出します。閾値を使って、2 件のレコードがどの程度似ていれば同一とみなすかを定義します。厳密一致と異なり、<0>fuzzy matching</0> はタイプミスや略語、細かな表記揺れを考慮して賢く類似を見つけます。","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist は <0>Levenshtein</0> と <1>Jaro-Winkler</1> の距離アルゴリズムを実装しています。","CONSOLIDATE_DUPES_TITLE":"重複を統合して 1 件のレコードに集約","CONSOLIDATE_DUPES_DESC_1":"単純なマージだけでは足りない場合は、重複値の結合または破棄などの高度な機能で、重複レコードを統合しましょう。","CONSOLIDATE_DUPES_DESC_2":"Datablist は競合しているフィールドを一覧表示し、対応方法を選べます。データ連結には 値を結合、1 つのマスターレコードの値を残すには 値を破棄 を使います。","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"Datablist の AI Agent で、あらゆるウェブサイトをスクレイピングし、Google 検索を自動化し、シンプルなプロンプトで構造化データを抽出できます。コードは不要です。","FAQ_Q1":"Duplicates Finder は無料で使えますか？","FAQ_A1":"はい。オンラインで重複の検出とマージを無料で行えます。厳密一致やスマートマッチングなどの基本機能はアカウント不要で利用可能です。あいまい一致や Phonetic などの高度なアルゴリズムには有料プランが必要です。","FAQ_Q2":"Excel の「重複の削除」とはどう違いますか？","FAQ_A2":"Excel は重複行を完全に削除するため、そこに含まれていた有益な情報を失う可能性があります。Datablist はレコードをマージし、重複間の相補情報を賢く 1 つの完全なマスターレコードに統合します。データを失うことはありません。","FAQ_Q3":"どのくらい大きいリストまでデデュープできますか？","FAQ_A3":"Datablist は大容量ファイルの処理を前提に設計されています。無料プランで最大 100 万行、有料プランでは最大 150 万行まで処理でき、従来のスプレッドシートの制限を大きく超えています。","FAQ_Q4":"タイプミスやわずかな違いがある重複も見つけられますか？","FAQ_A4":"もちろんです。Levenshtein や Jaro-Winkler 距離などの高度なあいまいマッチングにより、スペルミスやタイプミス、軽微な書式差があっても類似レコードを特定します。","FAQ_Q5":"1 つのセルに email が 2 件あるなど、複数値のフィールドには対応できますか？","FAQ_A5":"そのために設計されています。\"Multiple Value Matching\" を有効にすると、（セミコロン区切りの）セル内の各値を個別のエントリとして比較できます。いずれか 1 つでも重複があれば一致とみなします。","FAQ_Q6":"複数の CSV や Excel ファイルをまたいで重複を見つけられますか？","FAQ_A6":"はい。複数のファイルを Datablist にインポートし、それら全体に対して Duplicates Finder を実行できます。列や構造が異なっていても、共通の識別子に基づいてレコードを照合できます。","FAQ_Q7":"使うのにコーディングは必要ですか？","FAQ_A7":"いいえ、不要です。Datablist は完全なノーコードソリューションです。Duplicates Finder が、ユーザーフレンドリーな UI で列とマッチングルールを選ぶだけのステップバイステップでご案内します。","FAQ_Q8":"AI は重複のマージにどう役立ちますか？","FAQ_A8":"AI 編集機能で柔軟に対応できます。標準のマージルールの代わりに、平易な英語で指示を書くことができます。たとえば、重複エントリの売上数値を合計する、最新日付に基づいてマスターレコードを選ぶ、など。複雑なロジックをシンプルなリクエストに変換します。","FAQ_Q9":"重複をマージした後、データはどうなりますか？","FAQ_A9":"Datablist はデータを 1 つのマスターレコードに統合します。他の重複から不足情報を自動補完し、競合データへの対応も選べます。異なる行のテキストを結合することも、保持する値を選ぶことも可能です。不要になったレコードは削除されます。","FAQ_Q10":"利用できるマッチングアルゴリズムは何ですか？","FAQ_A10":"用途に応じて複数のアルゴリズムをご用意しています。完全一致の 'Exact'、語順や URL プロトコルなどの違いに強い 'Smart'、読みが近い名前に効く 'Phonetic'、タイプミスに強い 'Fuzzy Matching' です。","FAQ_Q11":"マージ前に、重複グループの一覧をエクスポートしてレビューできますか？","FAQ_A11":"はい。Datablist がすべての重複グループを特定した後、変更前に CSV または Excel にエクスポートできます。このファイルは、各グループの重複アイテムが連続して並ぶ形で出力されるため、外部でのレビューや他ツールでの処理が容易です。","FAQ_Q12":"Datablist で重複をマージした後、CRM をどのように更新すればよいですか？","FAQ_A12":"マージ完了後、Datablist はダウンロード可能な 'Changes List' を提供します。このファイルはプロセス中に更新・削除された各レコードを詳細に記録するログとして機能します。CRM など外部システムでも、このファイルを使えば変更を容易に反映でき、データの完全な同期を維持できます。"},"CSVEditor":{"PAGE_TITLE":"無料のオンラインCSVエディター＆ビューア","PAGE_DESC":"CSVファイルをオンラインで管理できるモダンなCSVエディターです。ブラウザ上で直接、データを開いて編集できます。","HEADER_TITLE":"オンラインCSVエディター＆ビューア","HEADER_DESC_1":"Leads、顧客、製品のCSVファイルをオンラインで探索・編集できます。","NO_SIGNUP":"サインアップ不要","ONLINE_100":"100%オンライン","NO_CODE_CONFIG":"ノーコード設定","CSV_DEF_TITLE":"CSVファイルとは？","CSV_DEF_DESC_1":"CSVは「Comma Separated Value(s)」の略で、テキストファイルで構造化データを保存するための形式です。CSVファイルでは各行が1件のデータレコードで、各レコードはカンマ（場合によってはセミコロン「;」やタブ）で区切られたフィールドで構成されます。","CSV_DEF_DESC_2":"CSVファイルはアプリケーション間でデータをやり取りする一般的な方法です。テキストファイルに基づくため、データベースやスプレッドシートのデータをエクスポートするシンプルな手段になります。","EDIT_TITLE":"CSVファイルをオンラインで開く","EDIT_DESC_1":"ブラウザから直接CSVファイルをアップロードできます。Datablist CSV Editor はCSVのカラム区切り文字を自動検出します。","EDIT_DESC_2":"インポートするCSVのカラムを選択し、データ型（Text、LongText、Date、Number、Email address など）を定義できます。","EDIT_DESC_3":"インポート後は、Datablistで任意のプロパティで並べ替え、全文検索でデータをフィルタできます。","DATA_MANIP_TITLE":"CSVファイルのクリーンアップと統合","DATA_MANIP_DESC":"データ操作にExcelやGoogleスプレッドシートを使うのはもうやめましょう 😱","WHY_USE_CSV_TITLE":"なぜDatablistのCSVエディターなのか？","WHY_USE_CSV_BLOC_TITLE_1":"メーリングリストをクリーンアップ","WHY_USE_CSV_BLOC_DESC_1":"Email リストはユーザーベースにリーチする最適な手段です。しかし時間の経過とともにリストは乱雑になりがちです。Datablistで到達率を高め、コストを削減しましょう。重複や無効なEmailアドレスを簡単に除去できます。","WHY_USE_CSV_BLOC_TITLE_2":"商品カタログを管理","WHY_USE_CSV_BLOC_DESC_2":"ほぼすべてのECツールはCSVで商品カタログのインポート／エクスポートに対応しています。Googleショッピングへ送る前のカタログのクリーンアップでも、複数ショップのデータを1つのコレクションに統合する場合でも、Datablistはリスティング管理に最適です。","WHY_USE_CSV_BLOC_TITLE_3":"Leads をエンリッチ","WHY_USE_CSV_BLOC_DESC_3":"Emailアドレス、役職、LinkedIn プロフィールなどでプロスペクトリストをエンリッチしたいですか？CRMは関心を示した後のLeadsのトラッキングとエンリッチには最適ですが、大量のプロスペクトのリスト作成やlead scoringには制約があります。Datablistはプロスペクトのトラッキングに最適なツールです。","WHY_USE_CSV_BLOC_TITLE_4":"SEOキーワードをトラッキング","WHY_USE_CSV_BLOC_DESC_4":"SEO戦略を構築中ですか？DatablistでSEOキーワードを保存し、競合をリスト化し、月間検索ボリュームやキーワード難易度を分析できます。ブログ投稿のアイデアを書き留め、競合のブログ投稿もトラッキングしましょう。","CSV_CLEANER_TITLE":"CSVクリーナー","CSV_CLEANER_DESCRIPTION":"CSVファイルはエラーや不整合、書式の問題が発生しやすく、扱いや分析を難しくすることがあります。CSVのクリーニングとは、CSVファイル内のこれらの問題を検出・修正し、データの正確性・一貫性・適切な書式を担保するプロセスを指します。","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSVの重複排除","CSV_CLEANER_TITLE_BLOC_DESC_1":"データの重複排除はCSVクリーニングの重要な要素です。Datablist Duplicates Finder を使えば、利用可能なすべてのカラムで比較したり、特定のカラムを選んで比較したりできます。高度なアルゴリズムにより、大規模データでも数秒でスキャンして重複を特定します。さらに、Datablist Duplicate Finder には強力なマージ機能があり、重複レコードを1つの正確なレコードに統合できます。","CSV_CLEANER_TITLE_BLOC_TITLE_3":"データ型を変換","CSV_CLEANER_TITLE_BLOC_DESC_3":"データ型の変換はCSVクリーニングで一般的な作業です。値を標準化された形式に変換することで、正確性と一貫性を確保します。DateTime、Numbers、Boolean などの特定のデータ型に合わせてCSV内の値の形式を変更できます。データ型の変換は、CSVのフィルタリングや、文字列データを他ツールへインポート可能な標準形式に整えるうえで重要です。","CSV_CLEANER_TITLE_BLOC_TITLE_6":"HTMLタグの除去と記号の削除","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablistには、タグ付きのHTMLコードをプレーンテキストに変換するクリーニングツールが組み込まれています。ほかにも、テキストからの絵文字や記号の削除、不要なスペースの除去などのツールを備えています。これらのクリーニング機能により、データの可読性と使いやすさが向上します。不要なノイズや記号を取り除くことで、データをより明確かつ簡潔にできます。","CSV_CLEANER_TITLE_BLOC_TITLE_7":"検索と置換","CSV_CLEANER_TITLE_BLOC_DESC_7":"「検索と置換」ツールはデータクリーニングに最適です。特定の値やパターンを検索し、正しい値や望ましい値に置換できます。これにより、スペルミスや書式の不整合、データ入力時の誤りを修正できます。データの標準化にもご活用ください。特定の値の異なる表記や形式を検索し、標準化された形式に置換します。","CSV_MANIPULATION_TITLE":"強力なCSV操作ツール","CSV_MANIPULATION_BLOC_TITLE_1":"一括編集","CSV_MANIPULATION_BLOC_DESC_1":"Datablist の一括編集はCSVクリーニングを簡素化します。複数アイテムを一度に変更できます。コレクション全体への適用、フィルタ済みアイテムの編集、選択したアイテムの一括編集が可能です。大規模データセットの管理・更新に非常に効率的です。Datablist の一括編集で、データの標準化を行えます。関連するすべてのレコードに一貫した書式や値を適用できます。","CSV_MANIPULATION_BLOC_TITLE_2":"データ操作のためのJavaScriptコード作成","CSV_MANIPULATION_BLOC_DESC_2":"JavaScriptは、Datablist上で直接データをクリーンアップするために利用できる強力な言語です。CSVクリーニングにJavaScriptを使う大きな利点は柔軟性です。スプレッドシートの数式は複雑で遅くなりがちですが、JavaScriptならシンプルな書式変換やデータ型の変換から、より高度なデータ変換・分析まで、幅広いクリーニング処理を行うカスタムスクリプトを作成できます。","CSV_MANIPULATION_BLOC_TITLE_3":"CSVカラムの分割と結合","CSV_MANIPULATION_BLOC_DESC_3":"CSVカラムの分割・結合は、CSVクリーニングに役立つ手法です。データをより意味のある形に再構成・整理できます。たとえば、カンマやセミコロンなどの区切り文字で複数の値が入った1つのカラムがある場合、その区切り文字に基づいて複数カラムに分割できます。","CSV_MANIPULATION_TITLE_4":"複数CSVからデータを照合・統合","CSV_MANIPULATION_DESC_4":"Datablistならデータの照合作業も簡単です。複数のデータソースを複数のコレクションにインポートし、各リスト間の共通識別子を選んで結合します。Datablistは「FULL OUTER JOIN」「LEFT OUTER JOIN」の結合に対応。競合データのマージ方法も設定でき、インポートデータをスキップまたはマージできます。","CSV_ONLINE_EDITOR":"オンラインで使える高機能CSVエディター","CSV_ONLINE_EDITOR_DESC_1":"他のオンラインCSVエディターは、開く・閲覧するための簡易機能のみで、しかも多くは広告だらけです。Datablist はオンラインCSVエディターでありながら、PCにアプリをインストールせずに大容量CSVを高速に開ける強力な機能を備えています。ブラウザの機能を活用してデータを保存・処理します。","CSV_ONLINE_EDITOR_DESC_2":"新しいCSVファイルをゼロから作成したり、外部のCSVをパースしたり、Excelファイルを開くこともできます。開いた後は、内蔵のフィルターとソートツールでデータを探索する、もしくはCSVデータをクリーンアップ・編集できます。すべてのデータ操作は、ブラウザ内の使いやすいインターフェースからご利用いただけます。","CROSS_OS_TITLE":"Windows・Mac OS・Linux に対応したCSVエディター","CROSS_OS_DESC_1":"Datablist CSV Editor は、あらゆるプラットフォームとOSに対応しています。Microsoft Windows、Mac OS、Linux でCSVファイルをオンラインで開けます。","CROSS_OS_DESC_2":"最新のWebブラウザ技術を活用し、プラットフォームの壁を取り払います。データはブラウザ内で動作するローカルデータベースに読み込まれます。クラウド同期により、Datablist はデータをクラウドとチームメンバー間で継続的に同期します。","PARSE_ONLINE_TITLE":"CSVファイルをオンラインでパース＆編集","PARSE_ONLINE_DESC_1":"直感的なアプリで、超高速にCSVファイルをオンラインでパース・修正できます。CSV（やExcel）からデータをシームレスに抽出・整理し、使いやすいWebベースのインターフェースで操作できます。","PARSE_ONLINE_DESC_2":"面倒なインストールや互換性の問題とは無縁です。インターネット接続があれば、どのデバイスからでもDatablistで手間なくCSVをパースできます。","PARSE_ONLINE_DESC_3":"Datablistは大型のCSVファイルも数秒でパースし、すばやく有益なインサイトの抽出を開始できます。","PARSE_ONLINE_DESC_4":"DatablistでCSVデータを直接修正し、CSVまたはMicrosoft Excel形式でエクスポートできます。","SEE_ALSO":"関連ページ","DATA_EDITOR":"オ��ラインデータエディター","DATA_EDITOR_DESC":"CSV以外の多様なデータ形式も管理・操作できる強力なオンラインデータエディター。","DUPLICATES_REMOVER":"重複レコードの削除","DUPLICATES_REMOVER_DESC":"ファジーマッチとマージに対応した高度な重複検出・削除ツール。","COMBINE_CSV":"CSVファイルを結合","COMBINE_CSV_DESC":"共通の識別子とJOIN操作を使って、複数のCSVファイルをマージ・統合します。","EMAIL_CLEANING":"Emailリストのクリーニング","EMAIL_CLEANING_DESC":"Emailリストをクリーンアップ＆検証して、到達率を改善しバウンス率を削減します。","WHY_USE_CSV_BLOC_LINK_1":"Emailリストをクリーンアップする方法","PROSPECT_LIST_BUILDING":"プロスペクトリストの作成","GUIDE_DATA_CLEANING":"データクリーニングガイドをご覧ください","INVENTORY_MANAGEMENT_LINK":"オンラインストアの在庫とサプライヤーフィードを管理","DUPLICATES_FINDER_LINK":"重複レコードの検出とマージ","AI_EDITING_LINK":"AIでデータ変換スクリプトを作成"},"DataEditor":{"PAGE_TITLE":"オンラインデータエディター ","PAGE_DESC":"CSV、Excel、構造化データを管理できる強力なオンラインデータエディターです。ノーコードのインターフェースと高度なツールで、データのクレンジング、編集、変換を行えます。","HEADER_TITLE":"オンラインデータエディター","HEADER_DESC_1":"スプレッドシートの手軽さとデータベースの機能を兼ね備えた強力なオンラインエディターで、データを管理できます。","HEADER_DESC_2":"CSV と Excel 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{count}行","RECOMMENDED_SUFFIX":" · 推奨","ROW_NODES_HELP":"誤った配列が選択されている場合は、列を編集する前にこちらで切り替えてください。","FLATTEN_OBJECTS":"ネストされたオブジェクトをフラット化","FLATTEN_OBJECTS_DESC":"`data.name`を独立したCSV列に変換します。","OBJECTS_TO_FLATTEN":"フラット化するオブジェクト","OBJECTS_TO_FLATTEN_DESC":"個別の列に展開するネストされたオブジェクトを選択してください。","ARRAY_HANDLING":"配列の処理","ARRAY_HANDLING_DESC":"配列の値をCSVにどのように出力するかを指定します。","ARRAY_SEPARATOR":"配列の区切り文字","ARRAY_FIELDS":"配列フィールドごとに設定","ARRAY_FIELDS_DESC":"検出された各配列列のエクスポート方法を選択してください。","ARRAY_JOIN":"要素を結合","ARRAY_JSON":"JSON文字列に変換","ARRAY_CASE_BY_CASE":"個別に設定","ARRAY_KEEP_FIRST":"最初の要素のみ保持","DETECTED_COLUMNS":"検出された列","DETECTED_COLUMNS_DESC":"エクスポート前にJSONパスを確認し、ヘッダー名の変更や列の除外を行えます。","COLUMN_COUNT":"表示中 {visible} / 全{total}列","CSV":"CSV","CSV_DESC":"エクスポートするCSVの形式を設定します。","CSV_SEPARATOR":"CSV区切り文字","CSV_SEPARATOR_DESC":"列間に使用する区切り文字を選択してください。","SEPARATOR_COMMA":"カンマ (,)","SEPARATOR_PIPE":"パイプ (|)","SEPARATOR_SEMICOLON":"セミコロン (;)","SEPARATOR_TAB":"タブ (\\t)","CUSTOM":"カスタム","ENTER_SEPARATOR":"区切り文字を入力","QUOTE_TYPE":"引用符の種類","QUOTE_TYPE_DESC":"エスケープが必要な場合に、フィールドを囲む方法を選択してください。","DOUBLE_QUOTE":"ダブルクォート (\")","SINGLE_QUOTE":"シングルクォート (')","INCLUDE_HEADER":"ヘッダー行を含める","INCLUDE_HEADER_DESC":"CSVの先頭行に列名を出力します。","DATE_FORMAT":"日付の出力形式","DATE_FORMAT_DESC":"エクスポート前に、検出されたISO形式に類似する日付を変換します。","DATE_KEEP_ORIGINAL":"元の形式を維持","DATE_ISO":"ISO日付 (yyyy-MM-dd)","DATE_EUROPEAN":"ヨーロッパ形式 (dd/MM/yyyy)","DATE_US":"米国形式 (MM/dd/yyyy)","DATE_TIME":"日付と時刻 (yyyy-MM-dd HH:mm:ss)","DATE_READABLE":"読みやすい形式 (MMM d, yyyy)","OUTPUT":"出力","COPY_CSV":"CSVをコピー","COPIED":"コピーしました","COPY_FAILED":"コピーに失敗しました","DOWNLOAD_CSV":"CSVをダウンロード","TABLE_VIEW":"テーブル表示","RAW_CSV":"未加工のCSV","EMPTY_PREVIEW":"JSONをアップロードするか、左側に貼り付けてください。検出された行の取得元とフラット化ルールを適用したプレビューがこちらに表示されます。","PREVIEW_LIMIT":"最大100行をプレビューできます。完全なCSVを取得するにはダウンロードしてください。","ROWS":"行","COLUMNS":"列","ERRORS":"エラー"}},"KEYWORDS":["json to csv","json to csv converter free","json to csv online","nested json to csv","complex json to csv","json api response to csv","convert large json to csv","json to csv large file","convert big json file to csv","best json to csv converter","row nodes json to csv","extract nested array from json to csv","convert nested json array to csv","flatten nested json to csv","json converter","csv export","datablist tools"],"SEO_HERO_TITLE":"JSONを貼り付けるだけ。数秒でクリーンなCSVを取得。","SEO_HERO_DESC":"シンプルなツールでは壊れがちなファイルにも対応する、無料のオンラインJSON to CSVコンバーターです。ネストされたオブジェクト、混在した配列、大きなペイロードも処理できます。データはお使いの端末上に保持されます。","INTRO_TITLE":"APIレスポンスや複雑なエクスポート向けのネストJSON to CSVコンバーター","INTRO_PARAGRAPHS":["多くのツールは、JSONがフラットな配列で始まっていないと正しく動作しません。しかし、実際のデータはもっと複雑です。APIレスポンス、webhookペイロード、CRMエクスポート、スクレイピングしたファイルには、ネストされたオブジェクト、メタデータ、混在した構造が含まれています。そこで、それらに対応できるよう本ツールを開発しました。","Row nodesを選択し、フラット化するオブジェクトを指定し、配列ルールを設定してください。その後、CSVをプレビューしてダウンロードできます。実運用のデータに適した最良のJSON to CSVコンバーターをお探しでしたら、そのために開発したのがこのツールです。"],"EXAMPLES":{"API":{"TITLE":"例：ネストされたAPIレスポンスをCSVに変換","DESCRIPTION":"多くの場合、JSONのルートはオブジェクトとして構成されており、行データは`results`や`data`のようなネストされた配列内にあります。シンプルなコンバーターでは対応できませんが、このツールはその配列を検出し、構造をフラット化して、クリーンなCSVとしてエクスポートします。","JSON_LABEL":"ネストされたJSON入力","CSV_LABEL":"CSV出力"},"CONTACTS":{"TITLE":"例：ネストされたcontacts配列を抽出","DESCRIPTION":"ペイロードによっては複数の配列が含まれます。親レコードが必要な場合もあれば、contactsのようなさらに深い配列が必要な場合もあります。row nodeセレクターを使用して必要な配列を正確に指定し、その行だけをエクスポートできます。","JSON_LABEL":"複数の配列を含むJSON","CSV_LABEL":"contacts向けCSV出力"}},"PARSING_SETTINGS":{"TITLE":"JSONパース設定","ITEMS":[{"TITLE":"Row nodes","BODY":"CSVの行を構成する配列を選択します。有用なデータがルートにそのまま存在することはまれです。JSONに複数の配列が含まれている場合は、この設定で適切なものを選択してください。"},{"TITLE":"ネストされたオブジェクトをフラット化","BODY":"`company`や`metrics`のようなオブジェクトを個別の列に展開します。フラット化するオブジェクトを選択することで、CSVを整理し、重複フィールドを避けられます。"},{"TITLE":"配列の処理","BODY":"区切り文字で配列を結合したり、JSON文字列として整形したり、カスタムルールを適用したりできます。tagsを結合したまま保持したり、複雑な配列をJSONのまま残したり、リストの先頭要素だけを抽出したりできます。"},{"TITLE":"配列ごとの個別ルール","BODY":"異なる配列ごとに個別のルールを適用できます。たとえばtagsには1つのルール、contactsには別のルールを設定できます。一般的なコンバーターはすべての配列を同じように扱いますが、この機能では最終出力を細かく制御できます。"}]},"OUTPUT_SETTINGS":{"TITLE":"CSV出力設定","ITEMS":[{"TITLE":"区切り文字","BODY":"カンマ、セミコロン、パイプ、タブ、またはカスタム区切り文字でエクスポートできます。出力先システムで必要な区切り形式に正確に合わせられます。"},{"TITLE":"ヘッダー行を含める","BODY":"CSVの1行目に列名を含めるかどうかを選択できます。別のパイプライン向けに生データの行だけを出力したい場合は、ヘッダーを除外してください。"},{"TITLE":"日付の出力形式","BODY":"エクスポート前に日付形式を再整形できます。手作業で編集しなくても、スプレッドシートやBIツールですぐ使えるCSVを生成できます。"},{"TITLE":"ダウンロード前にプレビュー","BODY":"ファイルをダウンロードする前に、プレビューでrow nodes、フラット化した列、配列ルールをご確認いただけます。"}]},"ROW_NODES":{"TITLE":"適切なRow nodesの選び方","PARAGRAPHS":["正しい配列を選択することで、正確な変換が可能になります。JSONファイルには、ラッパーオブジェクト、メタデータ、ネストされた配列が含まれていることがよくあります。シンプルなコンバーターは最初に検出した配列を選んでしまうため、誤ったデータを返すことがあります。","Row nodes設定を使って対象の配列を選択してください。companyごとに1行にしたい場合は親レコードを、contactごとに1行にしたい場合は子配列を選択します。","この機能により、複雑なAPIペイロード、CRMエクスポート、webhookログからビジネスデータを抽出できます。"]},"LARGE_FILES":{"TITLE":"大容量JSONファイルをCSVに変換","PARAGRAPHS":["大きなJSONをCSVに変換したい場合や、他のツールでは処理しきれない大容量JSONファイルを扱う必要がある場合にも対応しています。このページは、そのようなユースケースを想定して構築されています。","大きなペイロードを扱いながら、生成されるCSVのプレビューを確認し、その後フルエクスポートをダウンロードできます。プレビューにより、最終ファイルを確定する前に、row nodes、フラット化した列、配列ルールをご確認いただけます。","“convert large JSON to CSV”、“JSON to CSV large file”、“convert big JSON file to CSV”のようなキーワードでお探しであれば、まさにそのようなworkflowに対応するためのツールです。"]},"PRIVACY":{"TITLE":"データを外部に送信しないオンラインJSON to CSV","PARAGRAPHS":["これはオンラインJSON to CSVコンバーターですが、パース処理のためにファイルがリモートサーバーへアップロードされることはありません。処理はブラウザ内でローカルに行われます。","これは、顧客向けエクスポート、CRMデータ、APIレスポンス、内部ログなど、変換のためだけに外部へ送信したくないデータを扱う際に重要です。","つまり、高速で便利なうえ、変換処理がお使いの端末内にとどまるため、データの安全性も高まります。"]},"USE_CASES_TITLE":"このツールを使う場面","USE_CASES":[{"TITLE":"JSON APIレスポンスをCSVに変換","BODY":"メタデータとともにネストされたフィールド内にレコードがあるAPIからデータをエクスポートします。"},{"TITLE":"ネストされたJSONをフラットなCSV列に変換","BODY":"ネストされたcompany詳細、住所ブロック、売上データを、整ったスプレッドシート列に変換します。"},{"TITLE":"JSONからネストされた配列を抽出","BODY":"row nodeセレクターを使って、contacts、line items、eventsのようなより深い配列を指定してエクスポートします。"},{"TITLE":"CRMまたはwebhookのJSONエクスポートをCSVに変換","BODY":"HubSpotのエクスポート、内部APIペイロード、webhookログを、ExcelやBIツール向けに整えます。"},{"TITLE":"同じJSONファイル内で配列ごとに異なる処理を行う","BODY":"シンプルなtagsは結合し、リストは先頭要素だけを保持し、複雑な構造は同一ファイル内で文字列化できます。"},{"TITLE":"Excel、Sheets、またはインポート向けにCSVを準備","BODY":"区切り文字の調整、ヘッダーの切り替え、日付形式の設定により、CSVを出力先システムに合わせられます。"},{"TITLE":"可視性を保ったまま大容量JSONファイルを変換","BODY":"大きなJSONファイルを扱いながら、出力のライブプレビューを確認し、構造が適切であることを確認してから完全なCSVをダウンロードできます。"},{"TITLE":"無料のオンラインJSON to CSVコンバーターを利用","BODY":"ページを開き、JSONを貼り付けるかアップロードし、結果を確認して、何もインストールせずに無料でCSVをダウンロードできます。"}],"FAQ_TITLE":"FAQ：複雑なJSON to CSV変換","FAQ_ITEMS":[{"QUESTION":"これは無料のJSON to CSVコンバーターですか？","ANSWER":"はい。本JSON to CSVコンバーターは無料でご利用いただけます。"},{"QUESTION":"ネストされたJSONファイルをCSVに変換できますか？","ANSWER":"はい。適切なRow nodesを選択し、フラット化するオブジェクトを指定して、データをエクスポートできます。"},{"QUESTION":"行データがネストされた配列内にあるJSON APIレスポンスをCSVに変換できますか？","ANSWER":"はい。`results`、`items`、`data`といった名前のネスト配列を選択すると、そのレコードをもとにCSVを作成します。"},{"QUESTION":"Row nodes設定は何をしますか？","ANSWER":"どの配列をCSVの行として使用するかを決定します。ルートオブジェクトを迂回し、必要なデータを正確に指定するためにご利用いただけます。"},{"QUESTION":"大容量のJSONファイルをCSVに変換できますか？","ANSWER":"はい。本ツールは大きなペイロードに対応しており、フルファイルをダウンロードする前に生成されるCSVのプレビューもご確認いただけます。"},{"QUESTION":"どのオブジェクトをフラット化するか選べますか？","ANSWER":"はい。列として展開する特定のオブジェクトパスを選択できます。選択しなかったオブジェクトはJSON文字列のまま保持されるため、エクスポートを見やすく保てます。"},{"QUESTION":"このJSON to CSVコンバーターはオンラインで安全ですか？","ANSWER":"はい。ブラウザ上でオンライン動作しますが、パースと変換はサーバーへ送信されず、お使いの端末上でローカルに実行されます。"},{"QUESTION":"配列ごとに異なるルールを適用できますか？","ANSWER":"はい。配列ごとのモードを使用することで、フィールド単位で配列を結合、文字列化、または縮約できます。"},{"QUESTION":"このツールが優れたJSON to CSVコンバーターの1つである理由は何ですか？","ANSWER":"実際に多くの方が苦労するケースに対応するためです。ネストされたJSON、複数の候補配列、選択的なフラット化、配列ごとのルール、大容量ファイル、ライブプレビュー、そしてプライバシーに配慮したローカル処理に対応しています。"}],"OTHER_TOOLS_DESC":"JSON変換後に別のユーティリティが必要ですか。これらのツールは、構造化比較や監査しやすい差分確認など、隣接するデータworkflowをカバーします。"},"ToolsCsvDiff":{"PAGE_TITLE":"CSV Diffツール","PAGE_DESC":"2つのCSVファイルを比較し、追加・削除・変更された行を検出し、セル単位の差分をプレビューし、join種別やキー列の設定を選択し、結果をブラウザでダウンロードできる無料のオンラインCSV diffツールです。","SCHEMA_NAME":"Datablist CSV Diffツール","SCHEMA_DESC":"追加・削除・変更・未変更の行を比較できる、ブラウザ内処理とダウンロード可能なdiff CSV出力に対応した無料のオンラインCSV比較ツールです。","TOOL":{"ERROR_MISSING_SOURCE":"比較するには、2つのCSVファイルを両方アップロードしてください。","FILE_EMPTY_HELP":"ファイルをアップロードまたはドロップしてください","FILE_EMPTY_NAME":"CSVファイルを選択してください","FILE_LOADED":"読み込み済み","HELP_TEXT":"2つのCSVファイルをアップロードし、行の照合方法を選択すると、こちらでdiffをプレビューできます。すべての処理はお使いのブラウザ内でローカルに実行されます。","ORIGINAL_FILE_DESC":"以前のエクスポート、スナップショット、またはベースラインのファイルです。","ORIGINAL_FILE_TITLE":"Original CSV","OVERLAY_DESC":"先に元のファイルをドロップし、その後に更新済みファイルをドロップしてください。","OVERLAY_TITLE":"ここにCSVファイルをドロップしてください","STATUS_COMPARISON_FAILED":"比較に失敗しました","STATUS_FILES_READY":"ファイルを読み込みました。比較の準備ができました。","STATUS_PREVIEW_READY":"プレビューの準備ができました","STATUS_WAITING":"diffをプレビューするには、2つのCSVファイルをアップロードしてください。","SUBMIT_LABEL":"CSVファイルを比較","UPDATED_FILE_DESC":"元のファイルと比較する新しいエクスポートです。","UPDATED_FILE_TITLE":"Updated CSV","UI":{"COLUMNS_MAPPING":"カラムのマッピング","MAP_COLUMNS_THAT_CONTAIN_THE_SAME_DATA_WHEN":"2つのCSVファイルでカラム名が異なる場合、同じデータを含むカラムをマッピングします。","ONLY_MAPPED_COLUMNS_ARE_USED_FOR_MATCHING_AND":"マッピングされたカラムのみが照合と比較に使用されます。マッピングされていないカラムは、行を展開した際に引き続き表示されます。","ORIGINAL_COLUMN":"元のカラム","DO_NOT_COMPARE_THIS_COLUMN":"このカラムを比較しない","UNMAPPED_UPDATED_ONLY_COLUMNS":"更新後のCSVにのみ存在する未マッピングのカラム：","MATCHING":"照合","CHOOSE_HOW_ROWS_SHOULD_BE_MATCHED_BETWEEN_THE":"元のCSVファイルと更新後のCSVファイルの行を照合する方法を選択してください。","ROW_MATCHING_MODE":"行の照合モード","USE_A_KEY_COLUMN_WHEN_BOTH_FILES_SHARE":"両方のファイルに共通する安定した識別子がある場合は、キーカラムを使用します。ない場合は、行全体の比較に切り替えます。","AUTO_DETECT":"自動検出","SELECTED_KEY_COLUMN":"選択したキーカラム","MULTIPLE_KEY_COLUMNS":"複数のキーカラム","FULL_ROW_CONTENT":"行全体の内容","CURRENT_MATCH_MODE":"現在の照合モード：","KEY_COLUMN":"キーカラム","AUTO_DETECT_PREFERS_COLUMNS_LIKE_ID_EMAIL_SKU":"自動検出では、id、email、skuなどのカラムや、一意性の高い共通フィールドが優先されます。","USE_DETECTED_SUGGESTION":"検出された候補を使用","MULTIPLE_KEYS":"複数のキー","COMBINE_SHARED_COLUMNS_WHEN_ONE_COLUMN_ALONE_IS":"1つのカラムだけでは一意性が不十分な場合は、共通カラムを組み合わせます。","JOIN_TYPE":"結合タイプ","FULL_OUTER_JOIN_SHOWS_EVERYTHING_INNER_JOIN_SHOWS":"完全外部結合ではすべてが表示されます。内部結合では一致した行のみが表示されます。左外部結合では元のCSVの行が基準として保持されます。","FULL_OUTER_JOIN":"完全外部結合","INNER_JOIN":"内部結合","LEFT_JOIN":"左外部結合","COMPARISON":"比較","NORMALIZE_VALUES_BEFORE_DIFFING_TO_AVOID_NOISE_FROM":"差分を算出する前に値を正規化し、書式だけの変更による不要な差分を除外します。","IGNORE_COLUMN_ORDER":"カラムの順序を無視","WHEN_ENABLED_COLUMNS_ARE_ALIGNED_BY_NAME_INSTEAD":"有効にすると、カラムは位置ではなく名前に基づいて対応付けられます。","COMPARE_COLUMNS_BY_NAME":"カラム名で比較","IGNORE_WHITESPACE":"空白を無視","TRIM_LEADING_AND_TRAILING_WHITESPACE_BEFORE_COMPARING_CELL":"セルの値を比較する前に、先頭と末尾の空白を削除します。","TREAT_EXTRA_SPACES_AS_UNCHANGED":"余分な空白を変更なしとして扱う","IGNORE_CASE":"大文字と小文字を無視","USEFUL_WHEN_THE_SAME_VALUES_APPEAR_WITH_MIXED":"同じ値の大文字と小文字が混在している場合に便利です。","COMPARE_TEXT_CASE_INSENSITIVELY":"大文字と小文字を区別せずにテキストを比較","EMPTY_AND_NULL_LIKE_VALUES":"空値とnull相当の値","TREAT_EMPTY_STRINGS_NULL_UNDEFINED_AND_SIMILAR_PLACEHOLDER":"空文字列、null、undefined、および同様のプレースホルダー値を同一として扱います。","NORMALIZE_EMPTY_AND_NULL_LIKE_VALUES":"空値とnull相当の値を正規化","OUTPUT":"出力","CHOOSE_WHAT_TO_EXPORT_AND_HOW_THE_DOWNLOADABLE":"エクスポートする内容と、ダウンロードするCSVの形式を選択してください。","OUTPUT_MODE":"出力モード","SUMMARY_KEEPS_ONE_ROW_PER_RECORD_CHANGED_ROWS":"サマリーではレコードごとに1行を保持します。変更された行では編集箇所のみを対象にします。完全な差分では変更前後の値を並べて表示します。","SUMMARY_CSV":"サマリーCSV","CHANGED_ROWS_CSV":"変更された行のCSV","FULL_DIFF_CSV":"完全な差分CSV","DOWNLOAD_SEPARATOR":"ダウンロード用の区切り文字","CHOOSE_THE_DELIMITER_USED_IN_THE_DOWNLOADABLE_DIFF":"ダウンロードする差分CSVで使用する区切り文字を選択してください。","INCLUDE_UNCHANGED_ROWS":"変更のない行を含める","KEEP_UNCHANGED_ROWS_IN_THE_DOWNLOADABLE_OUTPUT_WHEN":"レコード単位の完全な監査が必要な場合、変更のない行もダウンロードする出力に含めます。","INCLUDE_UNCHANGED_ROWS_IN_EXPORT":"変更のない行をエクスポートに含める","INCLUDE_HEADER_ROW":"ヘッダー行を含める","INCLUDE_COLUMN_HEADERS_IN_THE_DOWNLOADABLE_CSV":"ダウンロードするCSVにカラムヘッダーを含めます。","ADD_CSV_HEADER_ROW":"CSVヘッダー行を追加","CSV_DIFF":"CSV差分","DIFF_PREVIEW":"差分プレビュー","DOWNLOAD_DIFFERENCES_CSV":"差分CSVをダウンロード","DATA_TABLE":"データテーブル","CHANGED_ROWS":"変更された行","SEARCH_VISIBLE_ROWS":"表示中の行を検索","COMPARISON_ERROR":"比較エラー","LARGE_CSV_FILES_STAY_IN_YOUR_BROWSER_WHILE":"大容量のCSVファイルは、ワーカーが解析して差分を算出している間もブラウザ内に保持されます。","PREVIEW_THE_CSV_DIFF_HERE":"CSVの差分をここでプレビュー","UPLOAD_TWO_CSV_FILES_CHOOSE_HOW_ROWS_SHOULD":"2つのCSVファイルをアップロードし、行の照合方法を選択すると、追加、削除、変更、変更なしの各行がこのテーブルに表示されます。","NO_ROWS_MATCH_THE_CURRENT_PREVIEW_FILTER":"現在のプレビューフィルターに一致する行はありません。","STATUS":"ステータス","ROW_NUMBER":"行番号","EXPLAIN_ROW_NUMBER_FORMAT":"行番号の形式について","KEY":"キー","LOAD_MORE_ROWS":"さらに行を読み込む","END_OF_CURRENT_RESULT_SET":"現在の結果セットの末尾です","WARNINGS":"警告","CHANGED":"変更あり","ADDED":"追加","REMOVED":"削除","UNCHANGED":"変更なし","PROCESSING":"処理中","ORIGINAL_SEPARATOR":"元のCSVの区切り文字：","UPDATED_SEPARATOR":"更新後のCSVの区切り文字：","MATCHED_BY":"照合基準：","ORIGINAL_ROWS":"元のCSVの行数：","UPDATED_ROWS":"更新後のCSVの行数：","SUMMARY":"サマリー","MAPPED_COLUMNS":"マッピング済みのカラム：","UNMAPPED_COLUMNS":"未マッピングのカラム：","DUPLICATE_KEY_ROWS_FLAGGED":"重複キーとして検出された行：","PREVIEW_COLUMNS":"プレビューするカラム：","PARSING_ORIGINAL_CSV":"元のCSVを解析中","PARSING_UPDATED_CSV":"更新後のCSVを解析中","MATCHING_ROWS":"行を照合中","COMPUTING_DIFFERENCES":"差分を算出中","FILTER_ALL":"すべて","STATUS_ALL":"すべて","FILTER_CHANGED":"変更あり","STATUS_CHANGED":"変更あり","FILTER_ADDED":"追加","STATUS_ADDED":"追加","FILTER_REMOVED":"削除","STATUS_REMOVED":"削除","FILTER_UNCHANGED":"変更なし","STATUS_UNCHANGED":"変更なし","COPIED":"コピーしました","COPY_FAILED":"コピーできませんでした","COPY_DIFFERENCES_CSV":"差分CSVをコピー","FULL_ROW":"行全体","FULL_ROW_CONTENT_2":"行全体の内容","ROW_NUMBER_TOOLTIP":"{original}行目：{updated}行目。","ORIGINAL_VALUE_HEADER":"{file} 変更前","UPDATED_VALUE_HEADER":"{file} 変更後","ROWS_CHANGED_PERCENT":"行の{percent}%が変更されています","NO_CELL_CHANGES":"セルの変更なし","NO_CHANGED_CELLS":"変更されたセルはありません。","SHOWING_ROWS":"{total}行中{visible}行を表示","SEPARATOR_OPTION_COMMA":"カンマ（,）","SEPARATOR_COMMA":"カンマ","SEPARATOR_OPTION_SEMICOLON":"セミコロン（;）","SEPARATOR_SEMICOLON":"セミコロン","SEPARATOR_OPTION_PIPE":"パイプ（|）","SEPARATOR_PIPE":"パイプ","SEPARATOR_OPTION_TAB":"タブ（\\t）","SEPARATOR_TAB":"タブ","ROW_ONLY_UPDATED":"この行は更新後のCSVにのみ存在します。","ROW_ONLY_ORIGINAL":"この行は元のCSVにのみ存在します。","COLUMN_NEW":"新しいカラム","COLUMN_DELETED":"削除されたカラム","COLUMNS_CHANGED":"{count, plural, one {#個のカラムが変更されました} other {#個のカラムが変更されました}}","COLUMN_SAME":"同一"}},"KEYWORDS":["csv diff online","compare csv files online","csv comparison tool","compare two csv files online","compare csv by id","compare csv by key column","csv diff row numbers","compare csv row numbers","csv diff join type","full outer join csv compare","csv diff ignore case","csv diff ignore whitespace","csv diff utf-8","csv diff utf-16","csv diff windows-1252","csv diff latin-1","csv diff output csv","compare large csv files online","free csv diff tool","find differences between csv files","csv changes detector","datablist tools"],"HERO_TITLE":"実務データのためのオンラインCSV diff","HERO_DESC":"このCSV比較ツールは、旧版と最新版のエクスポート、CRMスナップショット、商品カタログ、リードリストの比較向けに設計されています。ノイズの多い行単位のテキストdiffを表示する代わりに、データとして行を比較し、idやemailで行を対応付けし、実際に変更されたセルをハイライトいたします。","EXAMPLE":{"TITLE":"例: idで2つのCSVエクスポートを比較","DESCRIPTION":"これは、以前のエクスポートと新しいエクスポートを比較する一般的なworkflowです。1つの行は未変更のまま、1つの行は変更され、1つの行は消え、新しい1つの行が追加されます。","DIFF_LABEL":"差分結果"},"MATCHING":{"TITLE":"キー列でCSV行を比較","PARAGRAPHS":["通常、2つのCSVファイルをオンラインで比較する最適な方法は、`id`、`email`、`sku`、`uuid` などの安定したキーで行を対応付けることです。ツールは見つかった場合に有力なキー列を自動提案いたしますが、設定を上書きしたり、複数のキー列を選択したり、行全体の比較に切り替えたりすることも可能です。","これは、同じレコードが別の順序で含まれている場合や、エクスポート間で列の並び替えが行われた場合に特に有効です。"]},"STATUSES":{"TITLE":"追加・削除・変更・未変更の行","PARAGRAPHS":["diff結果では、行を実用的な4つのステータス、すなわち追加・削除・変更・未変更に分類します。変更された行については、どの列が変更されたか、また旧値と新値の違いをプレビューでご確認いただけます。","そのため、特に技術部門以外のチームに何が変わったのかをご説明する必要がある場合、単純なCSVテキストdiffよりも有用です。"]},"ADVANCED_TITLE":"より正確に比較するための高度なCSV diff設定","ADVANCED_DESC":"多くのオンラインCSV diffツールは基本的な比較ボタンだけで終わります。本ツールでは、キー列でCSVファイルを比較したい場合、行のjoin方法を調整したい場合、書式のみの差異を無視したい場合、またはダウンロードするdiff出力を正確に選びたい場合に、より細かな制御が可能です。","DETAIL_CARDS":[{"TITLE":"Join種別: full outer join、inner join、left join","PARAGRAPHS":["Join種別は、最終的なCSV diffにどの行を含めるかを定義します。full outer joinがデフォルトなのは、対応した行、追加された行、削除された行を含めてすべてを表示できるためです。inner joinは両方のファイルに存在する行のみを保持します。left joinは元のCSVを基準にし、主にどの元レコードが変更または消失したかを確認したい場合に便利です。","これは、「full outer join CSV compare」や「removed rowsを含めて新旧CSVファイルを比較する」といった検索意図に特に役立ちます。joinモードによってdiffの意味が変わるためです。"]},{"TITLE":"id、email、SKU、および複合キー比較のためのキー列マッチング","PARAGRAPHS":["id、email、SKU、uuid、またはその他の識別子でCSVを比較したい場合、信頼性の高い結果を得る鍵となるのがキー列設定です。行順で対応付けるのではなく、選択したキーでレコードをマッチングするため、列の並び替えや行の移動による誤差分が発生しません。","また、1つの項目だけでは十分に一意でない場合は、複数のキー列をご利用いただけます。そのため、「compare CSV by key column」や「複数列でCSVファイルを比較する」といった、より高度な用途にも適しています。"]},{"TITLE":"空白、大小文字、null相当値を無視する比較設定","PARAGRAPHS":["実際のエクスポートでは、書式の違いだけで差分が生じることが少なくありません。片方のファイルに余分なスペース、大文字のテキスト、`null`、`N/A`、空文字のようなプレースホルダー値が含まれている場合があります。比較設定では、空白の違いを無視し、大小文字の違いを無視し、空値やnull相当の値を同一として扱ったうえでdiffを計算できます。","これらのオプションは、単純なテキストdiffではなく、より高度なCSV比較ツールを求めるユーザーにとって重要です。ノイズを減らし、実際のデータ変更にプレビューの焦点を当てるのに役立ちます。"]},{"TITLE":"出力形式: summary CSV、changed rows CSV、またはfull diff CSV","PARAGRAPHS":["workflowによっては、行ステータスとキーのみを含むコンパクトなsummaryで十分な場合があります。一方で、変更された行だけのCSVや、元の値と更新後の値を横に並べたfull diff CSVが必要な場合もあります。出力設定では、こうした形式を選択し、区切り文字を指定し、未変更行をエクスポートファイルに含めるかどうかも決められます。","そのため、多くの無料オンラインCSV diffツールより柔軟にご利用いただけます。監査、ビジネスレビュー、照合作業のworkflow、または後続のスプレッドシート作業に合わせて、エクスポート結果を調整できます。"]},{"TITLE":"大容量CSVファイルをオンラインで比較","PARAGRAPHS":["本ツールは、ブラウザ内ですべての行を描画しようとせずに、大きなCSVファイルをオンラインで比較できるよう設計されています。全体件数のsummaryを計算しつつ、プレビューは扱いやすいサンプルに限定し、その後で完全なdiff結果をダウンロードすることも可能です。","大規模なエクスポート向けの無料CSV diffツールをお探しの場合、この大容量ファイルworkflowこそが本ページの主な価値です。"]},{"TITLE":"複数のCSVエンコーディングに対応","PARAGRAPHS":["実際のCSVファイルは、必ずしも標準的なUTF-8で保存されているとは限りません。本ツールは、UTF-8、BOM付きUTF-8、UTF-16 LE、UTF-16 BE、Windows-1252、Latin-1系ファイルなど、一般的なスプレッドシートおよびエクスポートのエンコーディングに対応しています。","これは、Excel、古い業務ソフト、または地域別エクスポート由来のファイルをオンラインでCSV diffしたい場合に重要です。そうしたファイルは、アクセント付き文字の文字化けや判読不能な文字が発生しやすいためです。"]},{"TITLE":"diffデータテーブル内の行番号表示","PARAGRAPHS":["キー列でCSVファイルを比較する場合、diffデータテーブルには各対応レコードの元の行番号も表示できます。行が同じ位置にある場合は1つの行番号が表示され、レコードが移動している場合は両方の行番号が表示されるため、各ファイル内で追跡できます。","これは、監査、照合作業、サポート対応において、何が変わったかだけでなく、その行が元のCSVと更新後CSVのどこにあったかを正確に説明する必要がある場合に便利です。"]},{"TITLE":"プライベートなブラウザ内処理","PARAGRAPHS":["CSVファイルの解析と比較はブラウザ内で行われます。これは、顧客エクスポート、売上スナップショット、在庫データ、その他お手元の環境に保持すべき機密性の高いスプレッドシートを扱う際に重要です。","また、結果を確認する前にサーバー側へアップロードする工程がないため、オンラインCSV diffの体験がより高速になります。"]}],"FAQ_TITLE":"よくあるご質問","FAQ_ITEMS":[{"QUESTION":"2つのCSVファイルをオンラインで比較するにはどうすればよいですか？","ANSWER":"元のCSVと更新後のCSVをアップロードし、行のマッチング方法を選択し、diffプレビューを確認した後、summaryまたはfull diff CSVをダウンロードしてください。通常は、id、email、またはその他の安定したキーでマッチングすると、最も分かりやすい結果になります。"},{"QUESTION":"idでCSVファイルを比較できますか？","ANSWER":"はい。本ツールはキー列でCSV行を比較できるよう設計されています。id、email、sku、key、uuid などの列を自動提案でき、1列だけでは不十分な場合は複数のキー列を選択することも可能です。"},{"QUESTION":"列の順序が入れ替わっている場合はどうなりますか？","ANSWER":"デフォルトでは、列の比較は位置だけでなく列名に基づいて行われます。そのため、両方のファイルに同じ列名が存在する限り、列の並び替えによって誤った差分は発生いたしません。"},{"QUESTION":"CSV diffにおけるjoin種別とは何ですか？","ANSWER":"join種別は、結果に含める行を制御します。full outer joinは、対応した行・追加された行・削除された行を含みます。inner joinは、両方のファイルに存在する行のみを含みます。left joinは元のCSVを基準にし、更新後ファイルにのみ存在する行を除外します。"},{"QUESTION":"空白や大小文字の違いは無視できますか？","ANSWER":"はい。比較設定では、空白の違いを無視し、大小文字の違いを無視し、空値やnull相当の値を同一として扱えます。これにより、書式上のノイズではなく、実際のデータ変更を見つけやすくなります。"},{"QUESTION":"どのCSVエンコーディングに対応していますか？","ANSWER":"本ツールは、UTF-8、BOM付きUTF-8、UTF-16 LE、UTF-16 BE、Windows-1252、Latin-1系ファイルなど、一般的なCSVエンコーディングに対応しています。これにより、Excel、レガシーソフトウェア、非UTF-8の業務システムから出力されたCSVにも対応しやすくなります。"},{"QUESTION":"diffで行番号を確認できますか？","ANSWER":"はい。キー列で行をマッチングした場合、diffデータテーブルには両方のファイルの行番号を表示できます。各ファイルでレコードの行番号が異なる場合は、両方の行番号が表示されるため、元のCSVまで追跡できます。"},{"QUESTION":"どのような出力形式がありますか？","ANSWER":"summary CSV、changed rows CSV、full diff CSVをエクスポートできます。出力設定では、区切り文字や、未変更行を含めるかどうかも選択可能です。"},{"QUESTION":"大きなCSVファイルも比較できますか？","ANSWER":"はい。ページの応答性を保つためプレビューは制限されますが、件数集計とダウンロード用のfull diffは引き続き計算されます。そのため、DOMを多用する単純なビューアよりも大きなエクスポートに適しています。"},{"QUESTION":"このCSV比較ツールは無料ですか？","ANSWER":"はい。このページは無料のオンラインCSV diffツールです。デスクトップアプリをインストールすることなく、CSVファイルをオンラインで比較し、差分を確認し、結果をダウンロードできます。"}],"OTHER_TOOLS_DESC":"2つのCSVファイルを比較した後、別のデータユーティリティが必要でしょうか。これらのツールは、関連するクレンジングや変換workflow向けに設計されています。"},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV行分割ツール — 区切り文字でCSVの行を分割・展開","PAGE_DESC":"区切り文字でCSVの行を分割できる無料オンラインツールです。列を選択し、セパレーターを指定するだけで、複数の値が入ったセルを値ごとに1行へ展開できます。大きなファイルにも対応し、すべてブラウザ内で処理されます。","SCHEMA_NAME":"Datablist CSV行分割ツール","SCHEMA_DESC":"無料のオンラインCSV行分割ツールです。列と区切り文字を選ぶことで、複数の値を含むセルを個別の行に分割できます。完全にブラウザ内で動作し、大きなファイルにも対応しています。","TOOL":{"CHARS":"文字","COLUMN_HELP":"各セル内に複数の値が含まれている列を選択してください。","COLUMN_LABEL":"分割する列","COPY_ARIA":"CSVをコピー","COPY_DONE_LABEL":"コピーしました。","DELIMITER_CUSTOM_HINT":"またはカスタム区切り文字を入力","DELIMITER_HELP":"セル内の値を区切るために使用される文字です。","DELIMITER_LABEL":"セルの区切り文字","EMPTY_SOURCE_LABEL":"CSVを貼り付けるか、ファイルをアップロードしてください","ERROR_MISSING_SOURCE":"先にCSVデータを貼り付けるか、CSVファイルをアップロードしてください。","NO_PREVIEW_DESC":"CSVをアップロードするかデータを貼り付けて、［行を分割］をクリックしてください。","NO_PREVIEW_TITLE":"まだプレビューはありません","OPTIONS_DUPLICATES_DESC":"セル内の各値について、最初の出現のみを保持します。","OPTIONS_DUPLICATES_LABEL":"重複を削除","OPTIONS_HEADER":"オプション","OPTIONS_SKIP_EMPTY_DESC":"分割後に空になる行を除外します。","OPTIONS_SKIP_EMPTY_LABEL":"空の値をスキップ","OPTIONS_TRIM_DESC":"各値の前後にある空白を削除します。","OPTIONS_TRIM_LABEL":"空白をトリミング","OVERLAY_DESC":"ファイルはローカルで解析され、すぐにプレビューが表示されます。","OVERLAY_TITLE":"ここにCSVファイルをドロップしてください","PASTE_LABEL":"CSVを貼り付け","PASTED_LABEL":"貼り付けたCSV","PREVIEW_LIMIT":"{total}行中{count}行","PREVIEW_SPLIT_BADGE":"分割","ROWS_AFTER":"分割後の行数","ROWS_BEFORE":"分割前の行数","STATUS_FAILED":"処理に失敗しました","STATUS_PREVIEW_READY":"プレビューの準備ができました","STATUS_PROCESSING":"CSVを処理中…","STATUS_WAITING":"入力待ち","SUBMIT_LABEL":"行を分割","TRUST_BROWSER":"ブラウザ内で処理","TRUST_LARGE_FILES":"大きなCSVファイルにも対応","TRUST_NO_UPLOAD":"サーバーへのアップロード不要","DELIMITERS":{"COMMA":"カンマ ,","SEMICOLON":"セミコロン ;","PIPE":"パイプ |","TAB":"タブ \\t"},"CUSTOM_DELIMITER":"カスタム…","PASTE_PLACEHOLDER":"氏名,メールアドレス\nMia Chen,\"mia.chen@example.test,mia@workmail.test\"\nLucas Martin,\"lucas@northwind.test,lucas@ops.test\"\nSofia Lopez,sofia.lopez@example.test","PREVIEW_DOWNLOAD_HINT":"全{total}行のうち{count}行を表示しています — すべての行を取得するにはCSVをダウンロードしてください。"},"KEYWORDS":["区切り文字でcsv行を分割","csvで列を複数行に分割","Excelでセルを複数行に分割","csvデータを正規化","csvの複数値セルを正規化","csv utf-8 utf-16 windows-1252","csv latin-1 encoding tool","expand rows csv","csv unpivot multi-value column","カンマ区切りの値を行に分割","csv explode column","unnest csv column","tidy data multiple values per cell","flatten csv column","Excelでカンマ区切りの値を複数行に分割","1つのセルに複数の値があるcsvを正規化する方法","複数値セルをcsvの行に変換オンライン","1つのセル内のemailsを複数行に分割","datablist tools"],"HERO_TITLE":"区切り文字でCSV行を分割 — 数秒で完了。Excelの数式は不要です。","HERO_DESC":"CRMからcontactsをエクスポートしたところ、すべてのemailsが1つのセルにカンマ区切りで入っていました。必要だったのは、1行につき1つのemailです。Excelでは手間がかかりましたが、このツールなら10秒で完了します。","WHY_TITLE":"複数値セルの分割が重要な理由","WHY_DESC":"CRM、eコマースプラットフォーム、アンケートのエクスポートでは、複数の値が1つのセルにまとめられていることがよくあります。tags、emails、電話番号、カテゴリなどが、区切り文字の後ろに並んで格納されます。正規化されたデータは、インポート、重複排除、フィルタリング、データエンリッチメントがしやすくなります。1行につき1つの値という形式は、多くのツールが前提としている標準です。","INTRO_CARDS":[{"TITLE":"CSVで列を複数行に分割","PARAGRAPHS":["このツールは、CSV内の1つの列を複数行に分割したい場合にご利用いただけます。1つのセルに複数のemails、tags、電話番号、カテゴリ、スキル、IDなどが区切り文字で区切られて入っているファイル向けに設計されています。","別のシステムへファイルをインポートする前に、CSVデータやCSVの複数値セルを正規化する最も迅速な方法の1つです。1つのレコードに複数の値を保持したままにするのではなく、CSV内の行を展開して、各値がそれぞれ独立した行になるようにします。"]},{"TITLE":"Excelでセルを複数行に分割する方法","PARAGRAPHS":["Excelでセルを複数行に分割する方法、あるいはExcelでカンマ区切りの値を複数行に分割する方法をお探しの方は多くいらっしゃいます。CSVファイルであれば、このオンラインツールは、数式の作成、Power Queryの使用、または行の手動コピーよりも通常は高速です。","CSVを貼り付けるかアップロードし、列を選択して区切り文字を確認し、結果をダウンロードするだけです。複数値セルをCSVの行にオンラインで変換したい場合、このページはまさにそのworkflowのために作られています。"]}],"EXAMPLES":{"EMAILS":{"TITLE":"例：複数emailを持つcontactsをemailごとに1行へ分割","DESCRIPTION":"一般的なCRMエクスポートでは、contactのすべてのemailが1つのセルにまとめられていることがあります。分割すると、各contactが個別の行に展開され、どのツールにもインポートしやすくなります。","INPUT_LABEL":"CSV入力","OUTPUT_LABEL":"CSV出力"},"TAGS":{"TITLE":"例：商品tagsを個別の行に展開","DESCRIPTION":"商品カタログでは、複数のtagsが1つのセルに入っていることがよくあります。分割することで、フィルタリング、グループ化、分析に適した、1行1tagのクリーンな構造になります。","INPUT_LABEL":"CSV入力","OUTPUT_LABEL":"CSV出力"}},"SETTINGS_CARDS":[{"TITLE":"ツールによるCSV行分割の仕組み","ITEMS":[{"TITLE":"分割する列","BODY":"1つのセル内に複数の値が入っている列を選択してください。その他の列は、新しく作成される各行に複製されます。このバージョンでは、一度に展開できる列は1つのみです。"},{"TITLE":"セルの区切り文字","BODY":"これはセル内の値を区切る文字です。CSVの列区切りとは異なります。一般的にはカンマ、セミコロン、パイプ、タブが使われます。ツールはデータに基づいて適切な区切り文字を提案します。"},{"TITLE":"前後の空白を削除","BODY":"初期設定で有効です。分割後、各値の前後にある空白文字を削除します。値が\",\"ではなく\", \"で区切られている場合に便利です。"}]},{"TITLE":"詳細オプション","ITEMS":[{"TITLE":"重複を削除","BODY":"セルに `a,a,b` が含まれている場合、このオプションを有効にすると `a` は1つだけ保持され、3行ではなく2行が生成されます。元データに意図しない重複がある場合に便利です。"},{"TITLE":"空の値をスキップ","BODY":"分割の結果として空文字が生じた場合、たとえば `a,b,` のように末尾に区切り文字があるケースでは、このオプションにより空の値を削除し、空白行を作成しません。"},{"TITLE":"空のセルは初期設定で保持されます","BODY":"セルが完全に空の場合、その行はそのまま保持されます。実際に区切り文字を含むセルだけが展開されます。"}]}],"INFO_CARDS":[{"TITLE":"大きなCSVファイルにも対応","PARAGRAPHS":["分割を行うと、行数は増加し、ときには大幅に増えることがあります。たとえば5,000行のファイルで、1セルあたり平均3つの値がある場合、15,000行になります。このツールは、そのようなケースでも問題なく処理できます。","プレビューには最初の100行のみが表示されるため、ブラウザの応答性が保たれます。分割結果が正しいことを確認した後、完全なCSVをダウンロードしてください。"]},{"TITLE":"複数のCSVエンコーディングに対応","PARAGRAPHS":["スプレッドシートや古いシステムのエクスポートから生成されたCSVファイルは、必ずしも同じエンコーディングではありません。このツールは、UTF-8、BOM付きUTF-8、UTF-16 LE、UTF-16 BE、Windows-1252、Latin-1形式のファイルなど、一般的なCSVエンコーディングに対応しています。","そのため、アクセント付き文字、特殊文字、または基本的なオンラインツールでは崩れやすい古いエクスポート形式を含むCSVファイルの行分割でも、より安心してご利用いただけます。"]},{"TITLE":"ファイルはブラウザの外に送信されません","PARAGRAPHS":["解析と分割はすべてWeb Workerを使用して、お使いのブラウザ内でローカルに実行されます。ファイルがサーバーにアップロードされることはありません。customer data、CRMエクスポート、機密性の高いcontactリストを扱う場合には重要なポイントです。","このツールは無料でご利用いただけ、アカウント登録も不要です。"]}],"USE_CASES_TITLE":"このツールを使う場面","USE_CASES":[{"TITLE":"カンマ区切りの値を行に分割","BODY":"1つのセル内の `a,b,c` を3つの個別の行に変換します。CRMやeコマースのエクスポートで最も一般的なユースケースです。"},{"TITLE":"1セルに複数emailsがあるCSVを正規化","BODY":"1人の人物に複数のemailsがあり、それらが1つの列にまとめられているcontactリストを展開し、各emailがそれぞれ独立した行になるようにします。"},{"TITLE":"複数値を含む列を行に分割","BODY":"1つのCSV列に1セルあたり複数の値が保存されている場合、それを個別の行に展開することで、ファイルのインポート、フィルタリング、分析がしやすくなります。"},{"TITLE":"tagsとカテゴリを展開","BODY":"商品カタログ、ブログ記事、サポートチケットでは、複数のtagsが1つのフィールドに保存されていることがよくあります。分析前に正規化しておくと便利です。"},{"TITLE":"電話番号を個別展開","BODY":"contactsが1つのセルに複数の電話番号を持っている場合、個別の行に分割することで、dialerやCRMへのインポートがよりクリーンになります。"},{"TITLE":"重複排除のためのtidy dataを作成","BODY":"1行につき1つの値という形式は、tidy dataの標準です。分割後は、Datablistを使って重複排除、フィルタリング、データエンリッチメントを行えます。"},{"TITLE":"インポート用データを準備","BODY":"ほとんどのCRMやmarketing platformでは、1行につき1つの値が想定されています。分割は、データのインポートやエンリッチメント前の最初のステップになることがよくあります。"}],"VOCABULARY":{"TITLE":"CSV explode、unnest、flatten、またはunpivotとは","PARAGRAPHS":["この変換は、ツールによってさまざまな表現が使われます。CSV explode column tool、CSV列をunnestする方法、CSV列をflattenする方法、あるいはCSV unpivot multi-value column workflowをお探しの場合もあるかもしれません。","実際の目的は同じです。1つのセルに複数の値があるデータをtidy data化し、1つの値を1行にすることです。この構造にすることで、結合、重複排除、グループ化、エンリッチメント、エクスポートがしやすくなります。"]},"FAQ_TITLE":"よくあるご質問","FAQ_ITEMS":[{"QUESTION":"セルの区切り文字としてセミコロンを使えますか？","ANSWER":"はい。カンマ、セミコロン、パイプ、タブ、カスタム区切り文字に対応しています。列を選択すると、データに基づいて適切な区切り文字の自動検出も試みます。"},{"QUESTION":"大きなCSVファイルでも使えますか？","ANSWER":"はい。分割処理はWeb Worker内で実行されるため、ブラウザをブロックしません。プレビューは100行までですが、ファイルに数万行ある場合でも完全な出力をダウンロードできます。"},{"QUESTION":"データはサーバーにアップロードされますか？","ANSWER":"いいえ。すべての処理はお使いのブラウザ内でローカルに実行されます。CSVがサーバーに送信されることはありません。そのため、customer data、社内エクスポート、その他アップロードしたくないデータでも安心してご利用いただけます。"},{"QUESTION":"どのCSVエンコーディングに対応していますか？","ANSWER":"UTF-8、BOM付きUTF-8、UTF-16 LE、UTF-16 BE、Windows-1252、Latin-1形式のファイルなど、一般的なCSVエンコーディングに対応しています。Excel、古いソフトウェア、またはアクセント付き文字を含むエクスポート由来のCSVでも役立ちます。"},{"QUESTION":"区切り文字を含まないセルはどうなりますか？","ANSWER":"そのまま保持されます。実際に区切り文字を含むセルだけが複数行に展開されます。空のセルも初期設定では保持されます。"},{"QUESTION":"引用符付きのCSVフィールドも正しく処理できますか？","ANSWER":"はい。内部のCSV parserが引用符付きフィールドを適切に処理します。たとえば \"mia.chen@example.test,mia@workmail.test\" のような値は1つの値として扱われ、CSVの区切り文字ではなく、セルの区切り文字に基づいて分割されます。"}],"CTA_TITLE":"分割後にデータの重複排除やエンリッチメントも必要ですか？","CTA_DESC":"データが正規化され、1行につき1つの値になった後は、Datablistでcontactsの重複排除、外部データによるエンリッチメント、任意の列でのフィルタリング、そしてクリーンな最終ファイルのエクスポートを簡単に行えます。","CTA_LABEL":"Datablistを無料で試す","OTHER_TOOLS_DESC":"CSVの分割後に別のデータユーティリティが必要ですか？これらのツールは、関連するクリーンアップや変換workflowに対応しています。"},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — 行数、サイズ、値、ルール、または日付でCSVファイルを分割","PAGE_DESC":"実運用の煩雑なエクスポート向けの無料オンラインCSV Splitterです。列を自動検出し、適切な分割オプションを提案し、出力ファイルをプレビューしたうえで、CSVまたはZIPの結果をブラウザから直接ダウンロードできます。","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"行数、ファイルサイズ、グループ化された値、ルール、日付範囲で分割できる無料オンラインCSV splitterです。すべてブラウザ内で動作し、複数ファイルのエクスポートはZIPアーカイブとしてダウンロードできます。","TOOL":{"ANALYSIS_COLUMNS":"列","ANALYSIS_DELIMITER":"区切り文字","ANALYSIS_ENCODING":"エンコーディング","ANALYSIS_ROWS":"行","DOWNLOAD_ACTIVE_FILE":"現在のファイルをダウンロード","EMPTY_SOURCE_LABEL":"CSVをアップロードするか、下に貼り付けてください","ERROR_INVALID_ROWS_PER_FILE":"1ファイルあたりの行数は、0より大きい整数である必要があります。","ERROR_LOAD_FILE":"このCSVファイルを読み込めませんでした。","ERROR_LOAD_PASTED_CSV":"貼り付けたCSVを読み取れませんでした。","ERROR_MISSING_RULES":"この分割のプレビュー前に、少なくとも1つのルールを追加してください。","ERROR_MISSING_SOURCE":"続行する前にCSVを貼り付けてください。","ERROR_MISSING_SOURCE_FOR_PREVIEW":"まずCSVをアップロードするか、貼り付けてください。","ERROR_RULE_FILE_LABEL":"この分割をプレビューする前に、各ルールに出力先ファイル名が必要です。","FILE_HINT":"CSVの区切り文字、引用符付きの改行、重複ヘッダー、エンコーディングは自動的に処理されます。","LOAD_FIRST_DESC":"ファイルをアップロードするかCSVを貼り付けてから、続行するために分割モードを選択してください。","LOAD_FIRST_TITLE":"先にCSVを読み込んでください","MODE_LOCKED_HINT":"これらの分割モードを有効にするには、CSVをアップロードするか貼り付けてください。","MODE_OPTIONS":[{"DESCRIPTION":"固定の行数でファイルを作成します。ほとんどのエクスポートで最も安全なデフォルトです。","LABEL":"行数で分割","MODE":"rows"},{"DESCRIPTION":"別のツールで大きなCSVファイルが拒否される場合に、各ファイルをおおよそのアップロード上限内に収めます。","LABEL":"ファイルサイズで分割","MODE":"size"},{"DESCRIPTION":"国、担当者、ステータス、またはその他の繰り返しカテゴリごとに1つのファイルを作成します。","LABEL":"列の値で分割","MODE":"column_value"},{"DESCRIPTION":"国、emailドメイン、会社規模などのシンプルな条件に基づいて、行を各ファイルに振り分けます。","LABEL":"ルールで分割","MODE":"conditional"},{"DESCRIPTION":"日付列を使って、行を月、年、またはISO週ごとにグループ化します。","LABEL":"日付範囲で分割","MODE":"date_range"}],"PASTE_CARD_DESC":"簡単なテストや、ファイルがすでにクリップボードにある場合に便利です。","PASTE_CARD_TITLE":"CSVを貼り付け","PASTE_DROP_HINT":"貼り付けるか、ファイルをドロップしてください","PASTED_LABEL":"貼り付けたCSV","PREPARING_MODE_DESC":"このモードでは、設定を表示する前に、より詳細な列スキャンが必要です。","PREPARING_MODE_TITLE":"この分割モードを準備中","PREVIEW_AFTER_BUILD_DESC":"分割モードを選択し、設定を調整してから、ダウンロード前に出力ファイルをプレビューしてください。","PREVIEW_AFTER_BUILD_TITLE":"プレビューは分割の作成後に表示されます","PREVIEW_PANEL_DESC":"ダウンロード前に、ファイル数、警告、および各出力のプレビューをご確認ください。","PREVIEW_PANEL_TITLE":"プレビューとダウンロード","PREVIEW_SPLIT_LABEL":"分割をプレビュー","READY_TO_SPLIT":"分割の準備ができました","STATUS_ANALYSIS_READY":"分析の準備ができました","STATUS_ANALYZING":"列を分析中…","STATUS_BUILDING_PREVIEW":"分割プレビューを作成中…","STATUS_CHOOSE_MODE":"分割モードを選択してください","STATUS_LOADING_PREVIEW":"ファイルプレビューを読み込み中…","STATUS_PREPARING_DOWNLOAD":"ファイルのダウンロードを準備中…","STATUS_PREPARING_ZIP":"ZIPアーカイブを準備中…","STATUS_PREVIEW_READY":"プレビューの準備ができました","STATUS_READY_TO_SPLIT":"分割の準備ができました","STATUS_SETTINGS_READY":"設定を調整してプレビューしてください","STATUS_UNABLE_LOAD_CSV":"CSVを読み込めません","STATUS_UNABLE_LOAD_FILE":"ファイルを読み込めません","STATUS_WAITING":"CSVファイルをお待ちしています","STATUS_ZIP_READY":"ZIPの準備ができました","UPLOAD_CSV":"CSVをアップロード","USE_CSV":"CSVを使用","UI":{"NAME_EMAIL_COUNTRY_10_ALICE_ALICE_EXAMPLE":"name,email,country\nAlice,alice@example.com,FR","ROWS_PER_FILE":"ファイルあたりの行数","MAX_SIZE_PER_FILE_BYTES":"ファイルあたりの最大サイズ（バイト）","USE_250000_FOR_ROUGHLY_250_KB_1000000":"約250 KBの場合は250000、約1 MBの場合は1000000を使用してください。","GOOD_WHEN_DOWNSTREAM_TOOLS_HAVE_UPLOAD_LIMITS":"後続ツールにアップロード制限がある場合に便利です","SIZE_BASED_CHUNKS_USE_EXACT_ROW_SIZES":"サイズベースの分割では各行の正確なサイズを使用しますが、行ごとのサイズに大きなばらつきがある場合、行数ベースの分割より結果を予測しにくくなります。","SPLIT_BY_COLUMN_S":"列で分割","USE_ONE_COLUMN_FOR_SIMPLE_SEGMENTATION_OR":"シンプルにセグメント分けする場合は1列を使用し、より細かく分割する場合は複数の列を組み合わせてください。","LIMIT_OUTPUT_FILES":"出力ファイル数を制限","RULE_BUILDER":"ルールビルダー","RULES_RUN_IN_ORDER_CHOOSE_FIRST_MATCH":"ルールは上から順に実行されます。最初に一致したルールのみを適用するか、行を複数のファイルに振り分けるかを選択してください。","ADD_RULE":"ルールを追加","RULE":"ルール","REMOVE":"削除","EQUALS":"次と等しい","DOES_NOT_EQUAL":"次と等しくない","CONTAINS":"次を含む","DOES_NOT_CONTAIN":"次を含まない","STARTS_WITH":"次で始まる","ENDS_WITH":"次で終わる","GREATER_THAN":"次より大きい","GREATER_THAN_OR_EQUAL":"次以上","LESS_THAN":"次より小さい","LESS_THAN_OR_EQUAL":"次以下","IS_EMPTY":"空である","IS_NOT_EMPTY":"空ではない","COMPARISON_VALUE":"比較値","DESTINATION_FILE_NAME":"出力先ファイル名","THIS_IS_THE_FILE_THAT_WILL_RECEIVE":"このルールに一致する行を格納するファイルです。例：enterprise、gmail、north-america。","EXAMPLE_ENTERPRISE":"例：enterprise","CASE_SENSITIVE":"大文字と小文字を区別","DATE_COLUMN":"日付列","GROUP_BY":"グループ化の単位","MONTH":"月","YEAR":"年","ISO_WEEK":"ISO週","ADVANCED_SETTINGS":"詳細設定","USE_THESE_ONLY_WHEN_THE_SIMPLE_SETUP":"シンプルな設定では不十分な場合にのみご使用ください。列の選択や細かな調整はこちらで行えます。","EXPORT_SETTINGS":"エクスポート設定","FILENAME_PATTERN":"ファイル名パターン","USE_VARIABLES_LIKE_INDEX_AND_LABEL_EXAMPLE":"{index}や{label}などの変数を使用できます。例：batch-{index}-{label}","STARTING_NUMBER":"開始番号","THE_FIRST_FILE_INDEX_USED_WHEN_INDEX":"ファイル名パターンに{index}を使用した場合の、最初のファイルのインデックスです。","COLUMNS_TO_KEEP_IN_THE_OUTPUT":"出力に残す列","PROJECTION_HAPPENS_BEFORE_THE_SPLIT_IT_REDUCES":"列の選択は分割前に適用されます。ファイルサイズを削減し、エクスポートファイルを整理できます。","SELECT_ALL":"すべて選択","UNSELECT_ALL":"すべて選択解除","ROW_SETTINGS":"行の設定","OVERLAP_ROWS":"行を重複させる","USEFUL_WHEN_BATCH_TOOLS_NEED_CONTEXT_IN":"バッチツールで次のファイルにも前後のコンテキストが必要な場合に便利です。","SHUFFLE_ROWS":"行をシャッフル","USEFUL_FOR_EXPERIMENTS_AND_SAMPLING":"実験やサンプリングに便利です。","KEEP_GROUPED_ROWS_TOGETHER":"同じグループの行をまとめる","AVOID_BREAKING_THE_SAME_GROUP_ACROSS_FILES":"同じグループが複数のファイルに分割されるのを防ぎます。","GROUPING_COLUMN":"グループ化する列","CHOOSE_A_COLUMN":"列を選択","COLUMN_VALUE_SETTINGS":"列値の設定","RARE_VALUE_HANDLING":"出現頻度の低い値の処理","KEEP_EVERY_DISTINCT_VALUE":"すべての個別値を保持","KEEP_TOP_N_VALUES_GROUP_THE_REST":"上位N個の値を保持し、残りをグループ化","GROUP_BUCKETS_BELOW_A_ROW_THRESHOLD":"行数がしきい値未満のグループをまとめる","TOP_N_VALUES_TO_KEEP":"保持する上位N個の値","MINIMUM_ROWS_PER_BUCKET":"グループあたりの最小行数","OTHER_BUCKET_LABEL":"「その他」グループのラベル","ALSO_SPLIT_LARGE_GROUPS_BY_FILE_SIZE":"大きなグループをファイルサイズでも分割","USEFUL_WHEN_ONE_SEGMENT_IS_MUCH_BIGGER":"1つのセグメントが他より大幅に大きい場合に便利です。","MAX_SIZE_PER_GROUPED_FILE_BYTES":"グループ化ファイルあたりの最大サイズ（バイト）","RULE_SETTINGS":"ルール設定","FIRST_MATCH_ONLY":"最初の一致のみ","TURN_THIS_OFF_TO_DUPLICATE_A_ROW":"1つの行を複数の出力に複製する場合は、オフにしてください。","KEEP_UNMATCHED_ROWS_IN_A_SEPARATE_FILE":"一致しない行を別ファイルに保存","TURN_THIS_ON_IF_YOU_WANT_ROWS":"どのルールにも一致しない行を個別にエクスポートする場合は、オンにしてください。","UNMATCHED_ROWS_FILE_NAME":"一致しない行のファイル名","THIS_NAME_IS_USED_FOR_THE_EXTRA":"どのルールにも一致しない行をまとめる追加ファイルに、この名前が使用されます。","DATE_SETTINGS":"日付設定","DATE_FORMAT":"日付形式","USE_A_FIXED_FORMAT_WHEN_THE_ANALYZER":"解析時の日付形式の推定が誤っている場合は、形式を固定してください。","AUTO_DETECT":"自動検出","YYYY_MM_DD":"YYYY-MM-DD","DD_MM_YYYY":"DD/MM/YYYY","MM_DD_YYYY":"MM/DD/YYYY","DD_MM_YYYY_2":"DD-MM-YYYY","MM_DD_YYYY_2":"MM-DD-YYYY","INVALID_DATES":"無効な日付","SEND_TO_A_SEPARATE_FILE":"別ファイルに出力","SKIP_INVALID_ROWS":"無効な行をスキップ","INVALID_DATE_FILE_LABEL":"無効な日付用ファイルのラベル","COLUMN_TYPE_OVERRIDES":"列タイプの上書き","USE_THIS_WHEN_A_NUMBER_OR_DATE":"数値列または日付列が誤って検出された場合にご使用ください。ルールでの比較と日付ベースの分割に影響します。","DETECTED_AS":"検出されたタイプ","TEXT":"テキスト","NUMBER":"数値","DATE":"日付","COMMA_THOUSANDS_SEPARATOR":"カンマの桁区切り","DOT_THOUSANDS_SEPARATOR":"ピリオドの桁区切り","SPACE_THOUSANDS_SEPARATOR":"スペースの桁区切り","APOSTROPHE_THOUSANDS_SEPARATOR":"アポストロフィの桁区切り","NO_THOUSANDS_SEPARATOR":"桁区切りなし","ONLY":"のみ","ROWS_SHOWN_IN_PREVIEW":"行をプレビューに表示","PREVIEW_LOADS_ON_DEMAND_FOR_THIS_FILE":"このファイルのプレビューは必要に応じて読み込まれます","LARGE_ROW_BASED_SPLITS_ONLY_PRELOAD_THE":"行数ベースで大きなファイルを分割する場合、プレビューを高速に保つため、最初のファイルのみ事前に読み込まれます。","SUGGESTED_GROUPING_COLUMNS":"推奨されるグループ化列","GROUPS":"グループ","LARGEST":"最大：","SMALLEST":"最小：","MEDIAN":"中央値：","NO_STRONG_GROUPING_COLUMN_WAS_DETECTED_ROW":"グループ化に適した列が検出されませんでした。このファイルでは、行数またはサイズによる分割がより安全な初期設定です。","FILE_ANALYSIS":"ファイル分析","DUPLICATE_HEADERS":"重複するヘッダー：","EMPTY_COLUMNS":"空の列：","LARGE_TEXT_COLUMNS":"長文テキストの列：","LEARN_MORE_ABOUT":"{title}について詳しく見る","SOMETHING_WENT_WRONG":"エラーが発生しました","TAB":"タブ","DOWNLOAD_ZIP":"ZIPをダウンロード","OUTPUT_FILES":"出力ファイル","PROJECTED_COLUMNS":"出力対象の列","LARGEST_FILE":"最大のファイル","ZIP_SIZE":"ZIPサイズ","ROWS_COUNT":"{count}行","OUTPUT_FILE_META":"{rows}行・{size}","ROWS_SHOWN":"プレビューには{count}行のみ表示されています","GROUPS_COUNT":"{count}グループ","NONE":"なし"}},"KEYWORDS":["csv splitter","split csv by column value","split csv by file size","split csv by date","split csv by rules","split large csv online","csv splitter zip download","csv split into multiple files","split csv by country","datablist tools"],"HERO_TITLE":"CSVファイルを、単なるチャンクサイズではなく意味に基づいて分割","HERO_DESC":"多くのCSV splitterツールは「1,000行ごと」といった分割で止まります。しかし、実際のエクスポートはもっと複雑です。国ごとに1ファイル、月ごとに1ファイル、enterprise accounts用に1ファイル、あるいはどの条件にも一致しなかった行のためのフォールバックファイルが必要な場合があります。このツールは、そのような実務上の現実に対応するために設計されています。","INTRO_CARDS":[{"TITLE":"分割前のスマートな分析","PARAGRAPHS":["このツールは、encoding、delimiter、重複ヘッダー、空の列、大きなテキストフィールド、低cardinalityのグルーピング列を自動検出します。推測に頼るのではなく、実用的な分割方法を選びやすくなります。","また、分割にリスクがある場合は警告も表示されます。たとえば、出力ファイル数が多すぎる、非常に小さいファイルが多すぎる、あるいは1つの巨大なバケットが他を大きく上回る場合などです。"]},{"TITLE":"大規模な実データのCSVエクスポート向けに設計","PARAGRAPHS":["大きなファイルもクライアント側に保持されます。ダウンロード前に結果をプレビューし、必要な列だけを残して、単一ファイルまたは複数ファイルをZIPアーカイブでエクスポートできます。","これは、outreachバッチ、国別の引き渡し、CRMクリーンアップ、コンプライアンスレビュー、月次の履歴データ分割に適しています。"]}],"GUIDE_TITLE":"迷いやすい設定のガイド","GUIDE_DESC":"一部の分割設定は強力ですが、初見では分かりにくいことがあります。ツール内のヘルプアイコンから以下の該当説明へ移動できるため、分割をプレビューする前に、各設定が実際に何を変更するのかをご理解いただけます。","GUIDES":[{"ID":"csv-splitter-help-rows","EXTRA_IDS":["csv-splitter-help-overlap","csv-splitter-help-grouped-rows","csv-splitter-help-size"],"ICON":"rows","TITLE":"行数、overlap、サイズベースのチャンク","DESCRIPTION":"これらは最も高速な分割モードであり、単にファイルを小さくしたい場合には通常もっとも安全です。","PARAGRAPHS":["Rows per file は、各出力の行数をおおむね同じにします。後続ツールがカテゴリや意味ではなくバッチサイズを重視する場合に最適です。","Overlap rows は、ファイルの境界で数行を重複させます。次のバッチが前のバッチの文脈を少し必要とする場合にのみご利用ください。","Keep grouped rows together は、同じaccount、company、またはorderが複数ファイルに分断されるのを防ぎます。1つのエンティティに属する行をまとめて保持したい場合に重要です。","Max size per file は、アップロード上限への対応に便利です。バイト数の目標値以下に収めることを目指しますが、行ごとの長さは異なるため、最後のファイルや一部のファイルは行数ベースのチャンクほど均一にならない場合があります。"]},{"ID":"csv-splitter-help-column-values","EXTRA_IDS":["csv-splitter-help-rare-values","csv-splitter-help-large-groups"],"ICON":"split","TITLE":"グループ化された出力とレアな値","DESCRIPTION":"値ベースの分割は、国、owner、status、またはsourceごとに1つのCSVを作成したい場合に適しており、レビューや引き渡しがしやすくなります。","PARAGRAPHS":["Split by column(s) は、一意の値または値の組み合わせごとに1つの出力を作成します。1列ならシンプルな出力になり、2列以上ではより細かなファイルに分かれます。","Rare-value handling は、単発の値によって非常に小さなファイルが大量に作成される場合に役立ちます。大きなグループだけを残し、それ以外を「other」バケットにまとめることができます。","Also split large groups by file size は、1つのカテゴリだけが他より大幅に大きい場合に便利です。グルーピングのロジックは維持しつつ、単一の巨大ファイルがエクスポート全体を支配するのを防ぎます。"]},{"ID":"csv-splitter-help-rules","EXTRA_IDS":["csv-splitter-help-unmatched"],"ICON":"rules","TITLE":"ルール、最初の一致、未一致の行","DESCRIPTION":"ルールベースの分割は、ファイルの振り分け先が単純なグルーピング列ではなく、ビジネスロジックに依存する場合に有効です。","PARAGRAPHS":["First match only は、行が最初に一致したルールで処理を止める設定です。同じ行を意図的に複数の出力ファイルへコピーしたい場合を除き、オフにしないことをおすすめします。","Keep unmatched rows in a separate file は、どのルールも満たさない行も専用のエクスポートとして保持できるようにします。","Unmatched rows file name は、その受け皿となるファイル名です。たとえば <code>needs-review.csv</code> や <code>no-rule-match.csv</code> のように、分かりやすい出力名にしたい場合に役立ちます。"]},{"ID":"csv-splitter-help-date-splits","EXTRA_IDS":["csv-splitter-help-date-format","csv-splitter-help-invalid-dates","csv-splitter-help-export-settings","csv-splitter-help-projection"],"ICON":"dates","TITLE":"日付、エクスポート設定、より整理された出力ファイル","DESCRIPTION":"これらの設定は、入力データが煩雑な場合や、エクスポート後のファイル名を既存のworkflowに合わせる必要がある場合に重要です。","PARAGRAPHS":["Date format は、解釈が曖昧な日付列のための設定です。検出結果が誤っている場合は、月、年、または週ごとにグループ化する前に想定する形式を明示的に指定してください。","Invalid dates では、不正な値をスキップするか、別ファイルに移すかを選べます。行が気づかないうちに失われるのを防ぐ、より安全な方法です。","Filename pattern は、最終的な出力名を制御します。バッチに予測可能な番号付けが必要な場合は、<code>{index}</code> や <code>{label}</code> のような変数をご利用ください。","Columns to keep in the output は、分割前に不要な列を除去します。特に、元のCSVに下流工程では不要な補助列が含まれている場合、エクスポートを軽量かつ整理された状態に保てます。"]}],"EDGE_TITLE":"このツールが対応するエッジケース","EDGE_DESC":"実際のCSVエクスポートがきれいに整っていることはほとんどありません。このツールは、一般的なsplitterでは壊れやすい厄介なケースにも対応できるよう設計されています。","EDGE_CASES":[{"ICON":"shield","TITLE":"引用付きセル、埋め込みカンマ、改行","DESCRIPTION":"引用符付きセルにカンマや改行が含まれていても、それだけで行が分割されることはありません。","BODY":"パーサーは引用付きのCSV値をそのまま保持するため、住所、メモ、長文テキストフィールドなどが、分割中に誤って別の行として扱われることはありません。"},{"ICON":"files","TITLE":"重複ヘッダー、空の列、出力projection","DESCRIPTION":"煩雑なヘッダーや過大なエクスポートは、CRM、財務、サポートのエクスポートでよく見られます。","BODY":"重複ヘッダーは比較処理が機能するよう正規化されます。空の列も特定でき、projectionを使えば出力生成前に列を削除できます。"},{"ICON":"rows","TITLE":"大容量ファイルとlazy preview","DESCRIPTION":"プレビューは判断を助けるものであり、大きなファイルの処理を妨げるべきではありません。","BODY":"大規模な行ベース分割では、ツールはプレビューを軽量に保ち、最初の出力ファイルのみを事前読み込みできます。追加のプレビューやダウンロードは、必要になった時点で生成されます。"},{"ICON":"dates","TITLE":"不正な日付、未一致ルール、不均一なグループ","DESCRIPTION":"このsplitterは、エッジケースの行を静かに破棄するのではなく、見える形で保持します。","BODY":"不正な日付を含む行は別ファイルに送ることができ、どのルールにも一致しない行も専用のエクスポートとして保持できます。また、グループ分割では、1つのセグメントだけが他より極端に大きい場合に警告を表示できます。"}],"EXAMPLES":{"COUNTRY":{"TITLE":"国またはstatusで分割","DESCRIPTION":"国、owner、status、source、またはその他の低cardinalityフィールドごとに1つのCSVが必要な場合は、グループ化された値による分割をご利用ください。"},"RULES":{"TITLE":"ルールベースの出力ファイルを作成","DESCRIPTION":"条件付きルールにより、enterprise accounts、Gmailアドレス、または何にも一致しないフォールバック行など、実務的な振り分け先を定義できます。"},"INPUT_LABEL":"入力","OUTPUT_LABEL":"出力"},"FAQ_ITEMS":[{"QUESTION":"CSVを列の値で分割できますか？","ANSWER":"はい。1つまたは複数の列を選択し、グループ数をプレビューし、必要に応じて出力ファイル数の上限を設定し、レアな値を「other」ファイルにまとめることができます。"},{"QUESTION":"CSVをファイルサイズで分割できますか？","ANSWER":"はい。ファイルごとの目標バイト数を設定できます。別のツールにアップロード制限がある場合に便利です。プレビューでは、行の長さのばらつきが大きく、見積もりの信頼性が低い場合に警告が表示されます。"},{"QUESTION":"CSVを月または年ごとに分割できますか？","ANSWER":"はい。日付列を選択し、月・年・ISO週を指定し、不正な日付を専用ファイルに入れるかスキップするかを決められます。"},{"QUESTION":"このツールはZIPアーカイブを作成しますか？","ANSWER":"はい。出力が1つの場合はCSVとしてダウンロードされます。複数ファイルに分割する場合は、大規模なセグメント化エクスポートも扱いやすいよう、ZIPとしてダウンロードされます。"}],"FAQ_TITLE":"よくあるご質問"},"ToolsDomainFinder":{"CONTENT":{"META_TITLE":"無料の会社名→ドメイン検索ツール | Datablist","META_SOCIAL_TITLE":"無料の会社名→ドメイン検索ツール","META_DESCRIPTION":"会社名を最大10件貼り付けるだけで、Webサイトをすぐに検索できます。無料で、クレジットカードは不要です。","HERO":{"TITLE":"会社名からドメインを検索","DESCRIPTION":"会社名のリストを貼り付けると、数秒でWebサイトを取得できます。無料で、カード登録も不要です。"},"PROOF":{"TITLE":"推測ではなく、実データに基づいています","EYEBROW":"データベースに実際に収録されている情報","BODY":"Datablistの有料データエンリッチメント製品と同じ企業データセットを使用しています。既知の親会社・子会社関係とも照合するため、誤ったブランドがひそかに紐づくことを防げます。","STATS":[{"value":"85%+","label":"マッチ率"},{"value":"3","label":"検索モード"},{"value":"32M","label":"企業"}]},"SOCIAL":{"TITLE":"スタートアップから大企業まで幅広く利用されています","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リード獲得ツール"}],"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":"ご利用方法","STEPS":[{"step":1,"title":"リストを貼り付けます","body":"CRMからのエクスポート、スプレッドシートの列、作成途中のリードリストなどから会社名をコピーし、無料の会社名→ドメイン検索ツールに貼り付けてください。改行またはカンマで自動的に分割し、完全に重複する項目は削除します。"},{"step":2,"title":"データベースを確認し、その後Googleで検索します","body":"各社名を、Datablistの有料データエンリッチメント製品でも使用している独自の企業データベースと照合します。信頼できる一致がない場合は、リアルタイムのGoogle検索に切り替えます。単に最初の検索結果を採用するのではなく、指定された企業との一致度に基づいて各候補をスコアリングするため、ディレクトリの掲載ページや企業についての記事を公式Webサイトとして返すことはありません。"},{"step":3,"title":"すべての結果に信頼度を表示します","body":"ドメインの一致結果は、すべてが同じ確度とは限りません。そのため、社名の一致度とドメインの検出方法に基づき、各行を「高」「中」「低」で評価します。信頼度が「高」の行はすぐにご利用いただけます。「中」または「低」の行は、outreachリストに追加する前に数秒だけご確認いただくことをおすすめします。"}],"FLOW":["企業データベース","信頼できる一致なし","リアルタイムのGoogle検索","検証済みの結果"],"CTA":{"TITLE":"500件まで無料、カード不要","BODY":"無料アカウントを作成すると10件の上限が解除され、500クレジットから始められます。","LABEL":"無料アカウントを作成"}},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"コールドoutreachのパーソナライズ","body":"emailを書く前にWebサイトを見つけ、実際の情報を冒頭文に反映できます。","ctaLabel":"コールドemailのパーソナライズガイド","ctaHref":"https://www.datablist.com/how-to/cold-email-personalization-tactics"},{"title":"リードリストのデータエンリッチメント","body":"見込み顧客リストをCRMやシーケンサーに取り込む前に、欠けているドメインを補完できます。","ctaLabel":"リードリストのデータエンリッチメントガイド","ctaHref":"https://www.datablist.com/how-to/lead-list-building-guide"},{"title":"CRMのクリーンアップ","body":"紐づけが失われた企業レコードを、実際のWebサイトに再接続できます。","ctaLabel":"CRMクリーニングガイド","ctaHref":"https://www.datablist.com/how-to/clean-enrich-refresh-data-crm"},{"title":"ニッチ企業の調査","body":"一般的な検索エンジンや古いデータベースでは見つからない、小規模企業や新しい企業のWebサイトを検索できます。","ctaLabel":"企業調査ガイド","ctaHref":"https://www.datablist.com/how-to/chatgpt-search-on-spreadsheet"}]},"COMPARISON":{"TITLE":"Datablistと他のドメイン検索ツールの比較","HEADERS":["ツール","月額料金","ドメイン単価","最適な用途"],"ROWS":[{"tool":"Datablist","cost":"$$25","perDomain":"$$0.005","bestFor":"低コストで大規模なリードリスト作成とデータエンリッチメント","favicon":"/free-tools/domain-finder/tool-favicons/datablist.png"},{"tool":"Company URL Finder","cost":"$$49","perDomain":"$$0.049","bestFor":"すでにGoogleスプレッドシートを利用しているチーム","favicon":"/free-tools/domain-finder/tool-favicons/company-url-finder.png"},{"tool":"CUFinder","cost":"$$49","perDomain":"$$0.049","bestFor":"幅広いAPI連携","favicon":"/free-tools/domain-finder/tool-favicons/cufinder.png"},{"tool":"Clay","cost":"$$185","perDomain":"$$0.0745","bestFor":"複雑なデータエンリッチメントworkflow","favicon":"/free-tools/domain-finder/tool-favicons/clay.png"},{"tool":"Phantombuster","cost":"$$69","perDomain":"変動制","bestFor":"既存のPhantombusterユーザー","favicon":"/free-tools/domain-finder/tool-favicons/phantombuster.png"},{"tool":"Marcom Robot","cost":"$$59","perDomain":"$$0.059","bestFor":"限定的な用途","favicon":"/free-tools/domain-finder/tool-favicons/marcom-robot.png"},{"tool":"BuiltWith","cost":"$$295","perDomain":"プレミアム","bestFor":"テクノロジー情報に基づく見込み顧客開拓","favicon":"/free-tools/domain-finder/tool-favicons/builtwith.png"}],"NOTE":"各料金は、2026年9月に各ベンダーの公式料金ページで確認した、月払いにおける最安の有料プランです。ドメイン単価は、そのプランに含まれる検索件数から算出しています。","SOURCES":[{"n":1,"label":"Datablistの料金","href":"https://www.datablist.com/pricing"},{"n":2,"label":"Company URL Finderのプラン","href":"https://companyurlfinder.com/plans"},{"n":3,"label":"CUFinderの料金","href":"https://cufinder.io/pricing"},{"n":4,"label":"Clayの料金","href":"https://www.clay.com/pricing"},{"n":5,"label":"Phantombusterの料金","href":"https://phantombuster.com/pricing"},{"n":6,"label":"Marcom Robotの料金","href":"https://www.marcomrobot.com/data-enrichment/pricing"},{"n":7,"label":"BuiltWithのプラン","href":"https://builtwith.com/plans"}],"CTA":{"TITLE":"ドメインごとの高額な料金は不要です","BODY":"Datablistは1ドメインあたり$0.005です。カード登録不要で、500クレジットを無料でお試しいただけます。","LABEL":"無料アカウントを作成"}},"RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理をご希望ですか？","ENRICHMENT":{"label":"Domain Finderエンリッチメント","href":"https://www.datablist.com/enrichments/find-domain-for-company-name-bulk","blurb":"一度に10件ずつではなく、スプレッドシート全体を処理できます。同じデータベース優先・Google検索補完方式で照合します。"},"TOOLS":[{"label":"Sales Navigator Scraper","href":"https://www.datablist.com/tools/sales-navigator-scraper","blurb":"LinkedInアカウントを操作することなく、検索URLからleadsを取得できます。"},{"label":"無料Email Finder","href":"https://www.datablist.com/tools/email-finder","blurb":"氏名と会社名から仕事用emailを検索できます。"},{"label":"会社名クリーナー","href":"https://www.datablist.com/tools/company-name-cleaner","blurb":"AIクリーナーで法人格を示す接尾辞を削除し、大文字・小文字を整えます。"}]},"FAQ":{"TITLE":"よくあるご質問","ITEMS":[{"question":"無料でいくつのドメインを検索できますか？","answer":"1回につき10件まで、アカウント登録もカード登録も不要です。ツールの大規模な自動実行を防ぐ公正利用の範囲内で、必要なときに何度でも再実行できます。"},{"question":"一度に10件を超えて処理する必要がある場合はどうすればよいですか？","answer":"無料アカウントを作成すると10件の上限がなくなり、500無料クレジットで大きなバッチをすぐにお試しいただけます。定期的に一括利用する場合、Starterプランでは毎月5,000クレジットをご利用いただけます。ドメインデータベースでの一致は1件あたり$0.005、Google検索は1件あたり$0.0125です。"},{"question":"Clearbitの無料Name to Domain APIはどうなりましたか？","answer":"2025年4月30日に提供を終了しました。本ツールは単独でそのまま代替でき、Clearbitにはなかった行ごとの信頼度評価も備えています。"},{"question":"このツールをAPI経由で利用できますか？","answer":"はい。Datablistでは、企業のWebサイトをプログラムから検索できる会社名→ドメインAPIをご提供しています。設定手順については、datablist.com/how-to/company-name-to-domain-api-enrichmentのAPI実装ガイドをご覧ください。"}]},"BREADCRUMB_CURRENT":"ドメイン検索","SCHEMA_NAME":"Datablist無料会社名→ドメイン検索ツール","SCHEMA_DESCRIPTION":"無料で利用できるオンラインの会社名→ドメイン検索ツールです。会社名のリストを貼り付けると、各一致結果の信頼度とともにWebサイトを取得できます。"},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Domain Finder","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than 10 company names?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and find company domains across your entire list. Review the matches, keep your original columns, and export the enriched results.","BULK_CTA":"Explore bulk Domain Finder","API_TITLE":"Find company domains from your code","API_DESCRIPTION":"Use the Company Name to Domain API to add domain lookups to your application or automated workflow. Send a company name and retrieve its domain programmatically.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"お客様のリスト","DESCRIPTION":"会社名を最大10件貼り付けると、数秒でドメインを検索できます。","PLACEHOLDERS":["Datablist","Celonis","会社名"],"ROW_LABEL":"会社名、行{number}","REMOVE_ROW":"行{number}を削除","ADD_ROW":"行を追加","ROW_LIMIT":"無料ツールでは10行が上限です。","EMPTY":"会社名を貼り付けるか入力して開始してください","READY_ONE":"1件の会社名を処理できます","READY_MANY":"{count}件の会社名を処理できます","FIND_ONE":"ドメインを検索","FIND_MANY":"ドメインを検索","SAMPLE_BUTTON":"サンプル結果を見る","SAMPLE_NOTICE":"サンプル結果 · この10件は例示用です。信頼度はサンプルであり、リアルタイムのスコアではありません。クレジットは使用されていません。","REJECTED_ONE":"1件は会社名と判断できなかったため、スキップされました。","REJECTED_MANY":"{count}件は会社名と判断できなかったため、スキップされました。","OVERFLOW":"{count}件の会社名が貼り付けられました。無料で実行されたのは最初の10件のみです。無料トライアルでは最大500件の検索をご利用いただけます（1件につき1クレジット）。","PROCESS_ALL":"{count}件すべてを処理","NUMBER":"#","COMPANY_NAME":"会社名","DOMAIN":"ドメイン","CONFIDENCE":"信頼度","STATUS":"ステータス","NO_MATCH":"一致する結果が見つかりません","COPY_ROW":"{name}のドメインをコピー","START_OVER":"最初からやり直す","COPY_ALL":"すべてコピー","DOWNLOAD_CSV":"CSVをダウンロード","DOWNLOAD_FILENAME":"domains.csv","HIGH":"高","MEDIUM":"中","LOW":"低","VERY_LOW":"非常に低い","PRIVACY":"会社名と結果は、このブラウザで24時間ご利用いただけます。Datablistでは、検索処理の完了とサポートのため、タスクデータをより長く保持します。","UNAVAILABLE":"この検索は一時的にご利用いただけません。Datablistアプリは引き続きご利用いただけます。","QUOTA_REACHED":"この無料ツールの1日あたりの上限に達しました。{hours}時間{minutes}分後に再度お試しいただくか、Datablistで続行してください。","QUOTA_RUN_TOO_LARGE":"この検索は、この無料ツールで本日ご利用可能な残りの上限を超えています。会社名を減らすか、{hours}時間{minutes}分後に再度お試しください。","QUOTA_REMAINING":"本日の残りクレジット：{limit}件中{remaining}件","QUOTA_REDUCE":"本日の残りは{remaining}クレジットです。会社名を減らしてお試しください。","QUOTA_WAIT":"本日の上限に達しました。{hours}時間{minutes}分後に再度お試しください。","CHALLENGE_REQUIRED":"検索を実行する前に認証を完了してください。","RUN_FAILED":"検索を完了できませんでした。後でもう一度お試しください。","SUBMISSION_UNKNOWN":"検索が開始されたか確認しています。ステータスを確認するには、このページを再読み込みしてください。重複して送信しないようお願いいたします。","RETRY_STATUS":"現在、検索ステータスを確認できませんでした。ページを再読み込みして、もう一度お試しください。","EXPIRED":"この結果は、このブラウザではご利用いただけなくなりました。","BANNER":"無料アカウントに登録すると、会社名からドメインを検索できる500無料クレジットを獲得できます。カード登録は不要です。","BANNER_CTA":"500無料クレジットを獲得","RESULT_CTA":"無料トライアルに登録すると、会社名からドメインを500件まで無料で検索できます！","RESULT_CTA_BUTTON":"無料トライアルを開始","CSV_NAME":"会社名","LOADING":"読み込み中","ERROR":"エラー","COMPLETE":"完了","HISTORY_TITLE":"最近の検索","HISTORY_DESCRIPTION":"結果が利用可能な間、最長24時間、このブラウザから検索を開いたり削除したりできます。ここで削除しても検索は停止せず、クレジットも返還されません。","HISTORY_REMOVE":"このブラウザから{name}を削除","HISTORY_COMPLETE":"完了","HISTORY_FAILED":"確認が必要です","HISTORY_ATTENTION":"ステータスを確認中","HISTORY_RUNNING":"処理中","COPY_ERROR":"コピーに失敗しました。もう一度お試しいただくか、CSVをダウンロードしてください。","DEBUG_NOTICE":"ベータ版アクションのデバッグ結果です。これはテストデータであり、送信された人物を検索した結果ではありません。","MORE_OPTIONS":"その他のオプション","COUNTRY_LABEL":"対象国","COUNTRY_HELP":"企業データセットとGoogle検索による補完を、特定の国に絞り込みます。","ALL_COUNTRIES":"すべての国","RUN_OPTIONS":"実行オプション","OPTION_ON":"オン","OPTION_OFF":"オフ"}},"ToolsSalesNavigatorScraper":{"CONTENT":{"META_TITLE":"無料Sales Navigatorスクレイパー | Datablist","META_SOCIAL_TITLE":"無料Sales Navigatorスクレイパー","META_DESCRIPTION":"Sales Navigatorの検索URLを貼り付けるだけで、leadsを無料でプレビューできます。LinkedInへのログイン、Cookie、セッションIDは不要なため、お客様のアカウントが危険にさらされることはありません。","SCHEMA_NAME":"Datablist無料Sales Navigatorスクレイパー","SCHEMA_DESCRIPTION":"無料のオンラインSales Navigatorスクレイパーです。検索URLを貼り付けるだけで、LinkedInアカウントに接続せずにleadsをプレビューできます。CookieやセッションIDも必要ありません。","BREADCRUMB_CURRENT":"Sales Navigatorスクレイパー","HERO":{"TITLE":"市場で最も安全なSales Navigatorスクレイパーを無料でお試しください！","DESCRIPTION":"検索URLを貼り付けるだけで、leadsをすぐにプレビューできます。"},"SAFETY":{"TITLE":"お客様のアカウントが危険にさらされない理由","ITEMS":[{"safe":true,"label":"Datablist","body":"必要なのは検索URLだけです。認証情報、Cookie、セッションID、拡張機能は一切不要です。"},{"safe":false,"label":"Chrome拡張機能","body":"Evaboot、Skrappなどのツールは、ログイン中のセッション内でクリック操作を自動化します。これはLinkedInのユーザー規約で禁止されており、リスクを負うのはお客様のアカウントです。"},{"safe":false,"label":"Cookieベースのクラウドツール","body":"Phantombusterや大半のApify Actorでは、li_atセッションCookieの貼り付けを求められます。これは、ログイン中のセッションを第三者に渡すことを意味します。"}]},"SOCIAL":{"TITLE":"スタートアップから大企業まで幅広く利用されています","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リード獲得ツール"}],"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":"ご利用方法","STEPS":[{"step":1,"title":"Sales Navigatorで検索を実行","body":"役職、職位、所在地、従業員数、業界、その他のSales Navigatorフィルターで絞り込み、検索結果を本当にアプローチしたい対象に整えます。その後、アドレスバーからURLをそのままコピーしてください。"},{"step":2,"title":"こちらにURLを貼り付け","body":"必要なのはそのURLだけです。ログイン、パスワード、ブラウザー拡張機能、開発者ツールからコピーしたセッションCookieは不要です。URLが送信される前に、Sales Navigatorが追加したアカウント固有のパラメーターを削除します。これらは必要なく、使用もしないためです。"},{"step":3,"title":"Datablist独自のインフラからスクレイピング","body":"抽出処理はDatablistのサーバー上で実行され、お客様のLinkedInセッションを経由することはありません。そのため、お客様のアカウントまで追跡されることも、LinkedInのアクティビティ上限にカウントされることもありません。結果はクリーンな表として返され、emailによるエンリッチやCRMへの送信にすぐご利用いただけます。"}],"CTA":{"TITLE":"10件だけでなく、検索結果全体をスクレイピング","BODY":"無料アカウントには500クレジットが付与され、LinkedInに接続することはありません。","LABEL":"無料アカウントを作成"}},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"リードリストをゼロから作成","body":"Sales Navigatorで詳細に絞り込んだ検索結果を、手作業でページをめくることなく、実際に活用できるクリーンで重複のないリストに変換できます。","ctaLabel":"リードリスト作成ガイド","ctaHref":"/how-to/lead-list-building-guide"},{"title":"スクレイピングしたleadsのemailを検索","body":"氏名と役職だけでは連絡できません。スクレイピングしたリストを、連絡先が見つかるまで20社以上のプロバイダーを確認するウォーターフォール型email finderにかけられます。","ctaLabel":"大規模なemail検索","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"検索結果全体を一括エクスポート","body":"Sales Navigatorの検索結果を手作業でページ送りすると、取得できるleadsは数十件に限られます。検索結果全体を一度にエクスポートできるからこそ、リストを作成する価値があります。","ctaLabel":"Sales Navigatorのleadsをエクスポート","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"アカウント停止のリスクを避けてスクレイピング","body":"人脈を失いたくないためにスクレイピングを先延ばしにしていた方には、アカウントリスクを完全に排除できるworkflowです。","ctaLabel":"安全なスクレイピングガイド","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Sales Navigatorスクレイパーの比較","INTRO":"以下の他のツールはすべて、拡張機能またはお客様が提供するセッションCookieを使用し、お客様自身のLinkedInセッションを通じてスクレイピングを実行します。アカウントに一切接続しないのはDatablistだけです。","HEADERS":["ツール","お客様のLinkedInアカウント","お客様側で必要なもの","最低料金","lead単価","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["一切接続しません","検索URL","$$25/月","$$0.05","あり、20社以上のプロバイダー"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["リスクあり","アカウント上で動作する拡張機能","$$39/月","$$0.039","あり"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["リスクあり","アカウント上で動作する拡張機能","$$9/月","$$0.09","あり"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["リスクあり","お客様のセッションCookie","$$69/月","変動","あり"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["リスクあり","お客様のセッションCookie","$$19/月","変動","なし"]}],"NOTE":"料金は、2026年9月に各ベンダーの公式料金ページで確認した、月払いにおける各ツールの最も安い有料プランです。lead単価は、そのプランに含まれるleads数を基に算出しています。","SOURCES":[{"n":1,"label":"Datablistの料金","href":"/pricing"},{"n":2,"label":"Skrappの料金","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evabootの料金","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombusterの料金","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apifyの料金","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"お客様のアカウントに一切触れない唯一のツール","BODY":"500クレジット付きで無料で始められます。拡張機能、セッションCookie、カードは不要です。","LABEL":"無料アカウントを作成"}},"RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理が必要ですか？","ENRICHMENT":{"label":"Sales Navigatorスクレイパー","href":"/sources/linkedin-search-scraper","blurb":"LinkedInアカウントに接続することなく、10件のプレビューではなく検索結果全体をスクレイピングできます。"},"TOOLS":[{"label":"無料ドメインファインダー","href":"/tools/domain-finder","blurb":"企業名からWebサイトを特定し、信頼度も表示します。"},{"label":"無料Email Finder","href":"/tools/email-finder","blurb":"氏名と企業名から仕事用emailを検索します。"},{"label":"企業名クリーナー","href":"/tools/company-name-cleaner","blurb":"AIクリーナーで法人格の表記を削除し、大文字・小文字を修正します。"}]},"FAQ":{"TITLE":"よくあるご質問","ITEMS":[{"question":"Sales Navigatorのサブスクリプションは必要ですか？","answer":"はい。Sales Navigatorの高度なフィルターによって、このツールが読み取る検索URLが生成されるため、URLを作成するには有効なサブスクリプションが必要です。ただし、そのサブスクリプションへのアクセス権をDatablistに付与していただく必要はありません。"},{"question":"他のスクレイパーが安全ではない中、なぜこれは安全なのですか？","answer":"上記の比較にある他のツールはすべて、ブラウザー拡張機能または貼り付けられたセッションCookieを介して、お客様自身のログイン済みLinkedInセッション上でスクレイピングを実行します。これはLinkedInのユーザー規約で禁止されており、規約違反への措置はお客様のアカウントに及びます。Datablistは検索URLのみを読み取り、独自のインフラから抽出するため、お客様までさかのぼって追跡できるものはありません。"},{"question":"全件スクレイピングの料金はいくらですか？","answer":"LinkedInアカウントに何も接続しない場合はlead 1件につき20クレジット、ご自身のアカウントへの接続を選択した場合は10クレジットです。Datablistは月払いで月額$25からご利用いただけ、毎月5,000クレジットが含まれます。"},{"question":"DatablistのSales Navigatorスクレイパーに制限はありますか？","answer":"はい。アカウントに紐づくフィルター（「自社ページをフォローしている」など）、保存済みリスト、CRMから同期された項目を含む検索はスクレイピングできません。これらは個人のログインの背後にあり、Datablistはそこへ接続しないためです。"}]}},"TOOL":{"LABEL":"Sales Navigatorの検索URL","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"LinkedInへのログイン、Cookie、セッションIDは不要です。お客様のアカウントに接続することはありません。","SUBMIT":"leadsをスクレイピング","BUSY":"スクレイピング中","RESULTS":"検索結果の最初の{count}件のleadsを無料で表示しています。","NAME":"氏名","JOB_TITLE":"役職","COMPANY":"企業","LOCATION":"所在地","COPY":"コピー","COPIED":"コピーしました","DOWNLOAD":"CSVをダウンロード","NOTE":"無料プレビューでは、連絡先情報を除く{count}件のleadsを表示します。全件スクレイピングを実行すると、emailとプロフィールURLをDatablistのエンリッチメントから取得できます。","ERROR_EMPTY":"Sales Navigatorの検索URLを貼り付けて開始してください。","ERROR_URL":"URLとして認識できません。","ERROR_HOST":"このリンクはLinkedInではなく、{host}を参照しています。","ERROR_PROFILE":"これは検索結果ではなく、個別のLinkedInプロフィールです。","ERROR_RECORD":"これは検索結果ではなく、Sales Navigatorの単一レコードです。","ERROR_SEARCH":"LinkedInのリンクですが、Sales Navigatorの検索URLではありません。","ERROR_FAILURE":"スクレイピングを完了できませんでした。しばらくしてからもう一度お試しください。","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"リスト全体をスクレイピング","ERROR_HINTS":{"url":"Sales Navigatorで検索結果を開き、アドレスバーのURLをコピーしてください。","host":"Sales NavigatorのURLはlinkedin.com/sales/search/で始まります。","profile":"まずSales Navigatorで検索を実行し、その検索URLをコピーしてください。","record":"検索結果に戻り、そこからURLをコピーしてください。","search":"linkedin.com/sales/search/peopleまたは/sales/search/companyで始まるURLをお探しください。"}}},"ToolsEmailFinder":{"CONTENT":{"META_TITLE":"無料メールファインダー | Datablist","META_SOCIAL_TITLE":"無料メールファインダー","META_DESCRIPTION":"Find a work email from a name and company or a LinkedIn profile. One found email free per day. Copy or download your result, with no signup required.","SCHEMA_NAME":"Datablist無料メールファインダー","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":"メールファインダー","HERO":{"TITLE":"無料メールファインダー","DESCRIPTION":"Find one work email free each day. Give a name and company, or a LinkedIn profile.\nNo signup required."},"WATERFALL":{"TITLE":"単一検索よりウォーターフォール方式が優れている理由","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":"スタートアップから大企業まで幅広く導入","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リードジェネレーションツール"}],"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":"ご利用方法","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":"無料アカウントには最初から500クレジットが付与され、リスト全体を一括処理できます。","LABEL":"無料アカウントを作成"}},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"実際に連絡できるリードリストの作成","body":"氏名と会社情報だけでは連絡できません。スクレイピングまたはエクスポートしたリストを、実際にメール送信できるリストへ変換することで、初めて価値が生まれます。","ctaLabel":"メールを大規模に検索","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"既存リストの欠損情報を補完","body":"エクスポートしたデータの多くは、一部の情報が欠けています。アドレスがない行だけを処理でき、結果が空だった行には料金がかかりません。","ctaLabel":"メール付きリードリストを作成","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"お持ちのプロバイダーキーを使用","body":"すでにHunterやDropcontactなどをご契約中ですか？お持ちのキーを使ってウォーターフォール検索を実行すれば、Datablistのクレジットシステムを使用せずに済みます。","ctaLabel":"カスタム・ウォーターフォールメールファインダー","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"送信前にパーソナライズ","body":"検証済みアドレスの取得は始まりにすぎません。メールの成果を左右するのは、冒頭の一文がその相手だけに向けて書かれたように読めるかどうかです。","ctaLabel":"コールドメールのパーソナライズ","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"実際に見つかったメール1,000件のコスト","INTRO":"クレジット単価だけでは、本当に重要な「実際に送信できるアドレスを1,000件取得するための費用」が見えません。Hunterは単一のインデックスを照会するため、メール1件あたりの料金が安価です。ウォーターフォール方式は1回の検索コストが高い一方、単一ソースにはない対象者も見つけられます。ウォーターフォール型サービスの中では、Datablistが最も低価格です。","HEADERS":["ツール","メール1,000件あたりのコスト","検索方法","未検出時"],"BEST_LABEL":"ウォーターフォール型で最安","BEST_LABEL_MOBILE":"{cost} · ウォーターフォール型で最安","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"単一ソースのインデックス","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"20社以上のプロバイダーによるウォーターフォール","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"20社以上のプロバイダーによるウォーターフォール","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"20社以上のプロバイダーによるウォーターフォール","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"独自データベース","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150以上の連携サービス","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"要見積もり","approach":"独自データベース","misses":"非公開","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"要見積もり","approach":"独自データベース","misses":"非公開","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"見つかったメール1,000件あたりのコスト。Datablistが公開している比較資料および各ベンダーの料金ページを基に、2026年9月に確認しました。掲載されているすべてのツールは、見つかったアドレスに対してのみ課金されるため、同じ条件で比較できます。要見積もりのベンダーは料金を公開していません。","SOURCES":[{"n":1,"label":"DatablistのCPME分析","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablistの料金","href":"/pricing"},{"n":3,"label":"Hunter.ioの料金","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContactの料金","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrichの料金","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apolloの料金","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clayの料金","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"実際に取得できたメールだけにお支払い","BODY":"500クレジット付きで無料で始められます。何も見つからなかった検索には料金がかかりません。","LABEL":"無料アカウントを作成"}},"RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理が必要ですか？","ENRICHMENT":{"label":"ウォーターフォールメールファインダー","href":"/enrichments/email-finder","blurb":"Run a full list through the work-email waterfall, paying only for the addresses it finds."},"TOOLS":[{"label":"無料ドメインファインダー","href":"/tools/domain-finder","blurb":"会社名からWebサイトを検索し、信頼度も表示します。"},{"label":"Sales Navigatorスクレイパー","href":"/tools/sales-navigator-scraper","blurb":"LinkedInアカウントに触れることなく、検索URLからリードを取得します。"},{"label":"会社名クリーナー","href":"/tools/company-name-cleaner","blurb":"AIクリーナーで法人種別などの接尾辞を削除し、大文字・小文字の表記を整えます。"}]},"FAQ":{"TITLE":"よくあるご質問","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":"検索方法を選択してください","MODE_NAME":"氏名＋会社","MODE_LINKEDIN":"LinkedIn URL","FIRST_NAME":"名","LAST_NAME":"姓","COMPANY":"会社名またはドメイン","LINKEDIN":"LinkedInプロフィールURL","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"会社名よりドメインの方が高精度です。","HINT_LINKEDIN":"会社ページではなく、個人のプロフィールをご指定ください。","COPY":"コピー","COPIED":"コピーしました","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":"無料アカウントに登録すると、メール20件分に相当する500クレジットを獲得できます。カード登録は不要です。","BANNER_CTA":"無料で500クレジットを獲得","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":"無料の会社名クリーナー | Datablist","META_SOCIAL_TITLE":"無料の会社名クリーナー","META_DESCRIPTION":"AIで1回につき最大10件の会社名をクリーニングできます。大文字・小文字表記や法人種別を正規化し、結果をコピーまたはエクスポートできます。登録不要で、1日あたりの利用上限があります。","SCHEMA_NAME":"Datablist無料会社名クリーナー","SCHEMA_DESCRIPTION":"AIで1回につき最大10件の会社名をクリーニングできます。大文字・小文字表記や法人種別を正規化し、結果をコピーまたはエクスポートできます。登録不要で、1日あたりの利用上限があります。","BREADCRUMB_CURRENT":"会社名クリーナー","HERO":{"TITLE":"表記が乱れた会社名を無料で正規化","DESCRIPTION":"リストを貼り付けて大文字・小文字表記を整え、法人種別を残すかどうかを選択できます。1回につき10件まで、登録は不要です。"},"FORMULA":{"TITLE":"スプレッドシートの数式だけでは不十分な理由","QUOTE":"「認識できない法人種別が一つあるだけで壊れてしまう、巨大で入れ子になったSUBSTITUTE関数になってしまいます。」これが自作の数式に潜む落とし穴です。想定したパターンしか処理できず、新しい形式が現れるたびに、すでに読みにくい数式を編集しなければなりません。一方、AIクリーナーは会社名を文脈に沿って読み取るため、ルール化されていない法人種別、大小文字の表記方法、業界特有の略称にも対応できます。","HEADERS":["処理前","処理後","処理内容"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"すべて大文字の表記を修正し、法人種別を削除"},{"raw":"müller & söhne gmbh & co. kg","note":"小文字表記を修正し、「GmbH」単体ではなく複合的な法人種別を優先"},{"raw":"\"Tech Company, INC.\"","note":"前後の引用符と法人種別を削除"},{"raw":"SAP","note":"許可リストに登録された略称のため、そのまま維持"},{"raw":"1234567 Ontario Inc.","note":"番号を使用した会社名の形式です。使用前にクリーニング後の名称をご確認ください"}],"NOTE":"上記は説明用の例です。AIクリーナーが返すのはクリーニング済みの会社名であり、信頼度スコアや説明は返しません。重要な会社名は使用前にご確認ください。","REVIEW":"要確認"},"FIXES":{"TITLE":"修正できる項目","ITEMS":[{"icon":"Scissors","title":"法人種別の削除","body":"AIクリーナーは、認識可能な会社名を維持したまま、Inc.、LLC、Ltd.、GmbH、SASなどの法人種別を削除できます。"},{"icon":"CaseSensitive","title":"大文字・小文字表記の修正","body":"クリーナーは不統一な大文字・小文字表記を正規化し、一般に認識されている固有名や略称を維持できます。"},{"icon":"Eraser","title":"空白、引用符、句読点","body":"重複した空白を一つにまとめ、スプレッドシートからの貼り付けで残った前後の引用符を削除し、法人種別の削除後に残る末尾のコンマやピリオドも整えます。"},{"icon":"CopyCheck","title":"処理前と処理後を比較","body":"結果をコピーまたはCSVでダウンロードする前に、元の会社名とクリーニング後の会社名を比較できます。"}]},"SOCIAL":{"TITLE":"スタートアップから大企業まで幅広く導入","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リード獲得ツール"}],"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":"ご利用方法","STEPS":[{"step":1,"title":"リストを貼り付ける","body":"1行につき会社名を1件入力し、1回に最大10件まで処理できます。CRMからエクスポートしたデータ、web scrapingで取得したリードリスト、スプレッドシートの列をそのまま使用でき、大文字・小文字表記の乱れや法人種別が含まれていても問題ありません。この上限はツールの処理能力によるものではなく、各会社名の処理にクレジットが必要なために設定されています。"},{"step":2,"title":"クリーナーが各会社名を正規化","body":"AIクリーナーがクリーニング済みの会社名を返すため、元の名称と比較できます。信頼度スコアや説明は返しません。"},{"step":3,"title":"結果をコピーまたはダウンロード","body":"正規化された会社名をクリップボードへ直接コピーするか、各行の元の会社名、クリーニング後の会社名、処理ステータスを含む完全な比較結果をCSVでダウンロードできます。"}],"CTA":{"TITLE":"一度に10件を超える会社名をクリーニング","BODY":"無料アカウントには、1,000件の会社名を処理できる500クレジットが付与されます。","LABEL":"無料アカウントを作成"}},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"CRM登録前の会社名を正規化","body":"「Acme Inc」と「ACME Corporation」のような重複レコードが同じパイプラインに蓄積する前に、大文字・小文字表記の不統一や法人種別を修正できます。","ctaLabel":"会社名を正規化する方法","ctaHref":"/how-to/normalize-company-names"},{"title":"既存リストの重複を排除","body":"大文字・小文字表記や法人種別だけが異なる2行は、多くのツールで別会社として認識されます。最初に正規化すると、重複が明確になります。","ctaLabel":"会社名の重複を排除する方法","ctaHref":"/how-to/dedupe-company-names"},{"title":"古いCRMエクスポートを更新","body":"古いシステムからエクスポートしたデータには、表記の不統一が特に蓄積しやすくなります。乱れたデータをそのまま引き継がず、再インポート時に正規化できます。","ctaLabel":"CRMデータのクリーニング、エンリッチ、更新","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"email送信前にリストを正規化","body":"会社名フィールドはパーソナライズ用トークンに使用されます。不要な引用符やすべて大文字の会社名は、受信者が実際に気づきやすい細部です。","ctaLabel":"emailリストのクリーニングガイド","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"リストを無料で正規化","RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理が必要ですか？","ENRICHMENT":{"label":"会社名クリーナーのエンリッチメント","href":"/enrichments/company-name-cleaner","blurb":"同じクリーナーを10件の上限なしで、Datablist内のデータセットに直接実行できます。会社名1件につき0.5クレジットで、同じ行を再処理する場合はキャッシュが使用され、二重に課金されません。"},"TOOLS":[{"label":"無料ドメインファインダー","href":"/tools/domain-finder","blurb":"会社名からWebサイトを検索し、信頼度も表示します。"},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"LinkedInアカウントにアクセスせず、検索URLからリードを取得できます。"},{"label":"無料email finder","href":"/tools/email-finder","blurb":"氏名と会社名から仕事用emailを検索します。"}]},"FAQ":{"TITLE":"よくあるご質問","ITEMS":[{"question":"この無料ツールはAIを使用していますか？","answer":"はい。有料エンリッチメントにも採用されているDatablistのAI会社名クリーナーを使用しています。固定された法人種別リストとの照合だけでなく、文脈や業界用語も読み取ります。各会社名の処理には0.5クレジットが必要なため、1回につき10件までに制限されています。"},{"question":"無料で何件の会社名を正規化できますか？","answer":"ブラウザセッションおよびIPごとに1日5クレジットの利用枠があり、その範囲内で1回につき最大10件を処理できます。送信した会社名1件につき0.5クレジットが一時的に確保され、未使用分は処理完了時に返還されます。利用枠はUTCの午前0時にリセットされます。"},{"question":"クリーナーは信頼度スコアを返しますか？","answer":"いいえ。クリーニング済みの会社名を返します。表には、返された会社名が入力内容と異なるかどうかが表示されます。重要な会社名や曖昧な会社名は、使用前にご確認ください。"},{"question":"貼り付けた会社名はどこに送信されますか？","answer":"クリーナーはブラウザ内のスクリプトではなく、当社のインフラ上で動作するAIモデルのため、会社名は正規化処理のためにDatablistへ送信されます。ボタンを押すまで処理は開始されないため、クリップボードから読み取られた内容を送信前に正確に確認できます。"},{"question":"このツールと有料エンリッチメントの違いは何ですか？","answer":"クリーナーは同じですが、処理規模が異なります。このページではアカウントなしで一度に10件を処理できます。有料エンリッチメントでは、Datablist内のデータセットに対して10件の上限なしで直接実行でき、会社名1件につき0.5クレジットです。エクスポートして再度貼り付ける必要がなく、同じ行にはキャッシュが使用されるため二重に課金されません。"},{"question":"Datablistにすでにインポートした会社名も正規化できますか？","answer":"はい。有料エンリッチメントはDatablist内のデータセットに直接実行できるため、エクスポートして再度貼り付ける必要はありません。この無料ツールは、お手元のリストをすぐに処理したい場合に適しています。"}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Company Name Cleaner","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than 10 company names?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and clean company names across your entire list. Choose whether to keep legal forms, review the cleaned names and confidence levels, and export the results with your original columns.","BULK_CTA":"Explore bulk Company Name Cleaner","API_TITLE":"Clean company names from your code","API_DESCRIPTION":"Use the Company Name Cleaner API to standardize names in your application or automated workflow. Send company names, choose whether to keep legal forms, and retrieve the cleaned names with AI-estimated confidence levels.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"会社名リスト","DESCRIPTION":"最大10件の会社名を貼り付けて、大文字・小文字表記や法人種別をクリーニングできます。","PLACEHOLDERS":["Acme Solutions LLC","MÜLLER & SÖHNE GMBH","会社名"],"ROW_LABEL":"会社名、行{number}","REMOVE_ROW":"行{number}を削除","ADD_ROW":"行を追加","ROW_LIMIT":"1回につき最大10件の会社名を処理できます。","EMPTY":"会社名を貼り付けるか入力して開始してください","READY_ONE":"1件の会社名を処理できます","READY_MANY":"{count}件の会社名を処理できます","FIND_ONE":"会社名をクリーニング","FIND_MANY":"会社名をクリーニング","SAMPLE_BUTTON":"サンプル結果を見る","SAMPLE_NOTICE":"説明用のサンプル結果です。信頼度は例示であり、実際のスコアではありません。このプレビューではクレジットを消費しません。","REJECTED_ONE":"1件の入力を使用できませんでした。形式をご確認ください。","REJECTED_MANY":"{count}件の入力を使用できませんでした。形式をご確認ください。","OVERFLOW":"{count}件の会社名が貼り付けられました。一度に処理できるのは最大10件です。","PROCESS_ALL":"Datablistで{count}件すべての会社名をクリーニング","NUMBER":"#","COMPANY_NAME":"会社名","DOMAIN":"ドメイン","CONFIDENCE":"信頼度","STATUS":"ステータス","NO_MATCH":"クリーニング済みの会社名が返されませんでした","COPY_ROW":"クリーニング済みの会社名をコピー","START_OVER":"最初からやり直す","COPY_ALL":"正規化済みの会社名をコピー","DOWNLOAD_CSV":"CSVをダウンロード","DOWNLOAD_FILENAME":"cleaned-company-names.csv","HIGH":"高","MEDIUM":"中","LOW":"低","VERY_LOW":"非常に低い","PRIVACY":"入力内容と結果は、このブラウザで24時間ご利用いただけます。Datablistでは、処理の完了およびサポートのため、タスクデータをそれより長く保持します。","UNAVAILABLE":"この無料ツールは一時的にご利用いただけません。Datablistアプリは引き続きご利用いただけます。","QUOTA_REACHED":"この無料ツールの1日あたりの利用上限に達しました。{hours}時間{minutes}分後に再度お試しいただくか、Datablistで続行してください。","QUOTA_RUN_TOO_LARGE":"この検索に必要なクレジットが、この無料ツールの本日の残り利用枠を超えています。会社名を減らすか、{hours}時間{minutes}分後に再度お試しください。","QUOTA_REMAINING":"本日の残りクレジット：{limit}中{remaining}","QUOTA_REDUCE":"本日の残りは{remaining}クレジットです。会社名を減らしてお試しください。","QUOTA_WAIT":"本日の利用上限に達しました。{hours}時間{minutes}分後に再度お試しください。","CHALLENGE_REQUIRED":"検索を実行する前に認証を完了してください。","RUN_FAILED":"処理を完了できませんでした。取得済みの結果を開くか、後でもう一度お試しください。","SUBMISSION_UNKNOWN":"検索が開始されたか確認しています。ページを再読み込みしてステータスをご確認ください。重複して送信しないでください。","RETRY_STATUS":"現在、検索のステータスを確認できませんでした。ページを再読み込みして、もう一度お試しください。","EXPIRED":"この結果は、このブラウザではご利用いただけなくなりました。","BANNER":"無料アカウントに登録すると、1,000件の会社名をクリーニングできる500クレジットを獲得できます。カード登録は不要です。","BANNER_CTA":"無料で500クレジットを獲得","RESULT_CTA":"Datablistで大規模なリストをクリーニングできます。","RESULT_CTA_BUTTON":"Datablistを開く","CSV_NAME":"会社名","LOADING":"読み込み中","ERROR":"エラー","COMPLETE":"完了","HISTORY_TITLE":"最近の検索","HISTORY_DESCRIPTION":"結果が利用可能な間、最大24時間、このブラウザから検索結果を開いたり削除したりできます。ここから削除しても検索処理は停止せず、クレジットも返還されません。","HISTORY_REMOVE":"このブラウザから{name}を削除","HISTORY_COMPLETE":"完了","HISTORY_FAILED":"要対応","HISTORY_ATTENTION":"ステータスを確認中","HISTORY_RUNNING":"処理中","CLEAN_ONE":"会社名をクリーニング","CLEAN_MANY":"会社名をクリーニング","NORMALIZE_ALL":"{count}件すべてを正規化","ORIGINAL":"元の会社名","NORMALIZED":"正規化後","WHAT_CHANGED":"変更内容","REVIEW":"要確認","DUPLICATE_OF":"「{name}」と重複","NO_CHANGE":"変更不要","CHANGES":{"spaces":"余分な空白を削除","quotes":"引用符を削除","suffix":"法人種別を削除","casing":"大文字・小文字表記を修正"},"COPY":"正規化済みの会社名をコピー","COPIED":"コピーしました","DOWNLOAD":"CSVをダウンロード","REVIEW_CTA_ONE":"1行が要確認と判定されました。クリーナーが十分な確信を持てなかったためです。DatablistのAIベースのエンリッチメントは、法人種別リストだけでなく文脈も読み取ります。","REVIEW_CTA_MANY":"{count}行が要確認と判定されました。クリーナーが十分な確信を持てなかったためです。DatablistのAIベースのエンリッチメントは、法人種別リストだけでなく文脈も読み取ります。","SEE_ENRICHMENT":"エンリッチメントを見る","DEBUG_NOTICE":"ベータ版アクションのデバッグ結果です。これはテストデータであり、送信された人物を検索した結果ではありません。","CHANGED":"変更あり","UNCHANGED":"変更なし","COPY_ERROR":"コピーに失敗しました。もう一度お試しいただくか、CSVをダウンロードしてください。","MORE_OPTIONS":"その他のオプション","KEEP_SUFFIX_LABEL":"法人種別を残す","KEEP_SUFFIX_HELP":"Inc.、LLC、Ltd.、GmbHなどの法人種別をクリーニング後の会社名に残します。","RUN_OPTIONS":"実行オプション","OPTION_ON":"オン","OPTION_OFF":"オフ","CONFIDENCE_HELP":"クリーニング後の会社名が企業の同一性を維持しているかについて、AIが推定した信頼度です。外部情報による検証結果ではありません。"}},"ToolsInstagramFollowerScraper":{"CONTENT":{"META_TITLE":"無料Instagramフォロワースクレイパー | Datablist","META_SOCIAL_TITLE":"無料Instagramフォロワースクレイパー","META_DESCRIPTION":"無料のオンラインInstagramフォロワースクレイパーです。ログイン、Cookie、ブラウザ拡張機能なしで、公開Instagramプロフィールからフォロワーを抽出できます。","SCHEMA_NAME":"Datablist無料Instagramフォロワースクレイパー","BREADCRUMB_CURRENT":"Instagramフォロワースクレイパー","HERO":{"TITLE":"無料Instagramフォロワースクレイパー","DESCRIPTION":"InstagramプロフィールのURLまたはハンドルを1件入力すると、1回の実行につき最大100人のフォロワーを取得できます。ログインやCookieは不要です。"},"SAFETY":{"TITLE":"Instagramアカウントを危険にさらさない理由","ITEMS":[{"safe":true,"label":"Datablist","body":"必要なのは公開プロフィールのURLまたはハンドルだけです。お客様個人のInstagramアカウントには一切接続せず、認証情報、Cookie、ブラウザ拡張機能も必要ありません。"},{"safe":false,"label":"Chrome拡張機能（IG Exporterなど）","body":"アクティブなブラウザセッションを利用して、スクレイピングを自動化します。Metaはセッション内の高速スクロールやAPIリクエストを監視しているため、即座にアクションがブロックされたり、アカウントが停止されたりする可能性があります。"},{"safe":false,"label":"Cookieベースのクラウドスクレイパー（PhantomBuster）","body":"DevToolsから機密性の高いsessionid Cookieをコピー＆ペーストする必要があります。ログイン済みのInstagram IDを外部サーバーに委ねることになり、アカウントが大きなリスクにさらされます。"}]},"SOCIAL":{"TITLE":"スタートアップから大企業まで、多くのお客様に信頼されています","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リードジェネレーションツール"}],"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":"ご利用方法","STEPS":[{"step":1,"title":"Instagramプロフィールまたはユーザーネームを入力","body":"公開InstagramプロフィールのURL（例：instagram.com/nike）、ハンドル（@nike）、または数値のユーザーIDを貼り付けてください。Datablistのフルアプリケーションでは、複数のインフルエンサープロフィールを一度に貼り付けることもできます。"},{"step":2,"title":"Datablistのクラウドサーバーで安全にスクレイピング","body":"抽出処理はすべてDatablist専用インフラ上で実行されます。Instagramのパスワード、二要素認証コード、セッションCookie（sessionid）を求めることは一切ないため、お客様個人のアカウントをアクションブロックやBANのリスクから100%保護できます。"},{"step":3,"title":"エクスポートし、emailと電話番号でエンリッチ","body":"整理されたフォロワー一覧をCSVまたはExcel形式でダウンロードできます。Datablistでは、スクレイピングしたハンドルを15社以上のemail・電話番号プロバイダーにウォーターフォール方式で照会し、クリエイターキャンペーン向けの検証済み連絡先情報を取得できます。"}],"CTA":{"TITLE":"プレビュー10行だけでなく、フォロワーリスト全体をスクレイピング","BODY":"Datablistの無料アカウントには500クレジット（最大50,000フォロワー分）が含まれ、Instagramへのログインは一切不要です。","LABEL":"無料アカウントを作成"}},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"オーディエンス・競合分析","body":"競合ブランドやニッチ市場のリーダーをフォローしているユーザーを正確に把握できます。共通の関心、認証率、オーディエンス属性を分析し、市場でのポジショニングを強化できます。","ctaLabel":"リードリスト作成ガイド","ctaHref":"/how-to/lead-list-building-guide"},{"title":"インフルエンサーマーケティングとクリエイター発掘","body":"業界トップクリエイターのフォロワーリストを抽出し、認証済みプロフィールや公開連絡先タグで絞り込むことで、高い成果につながるコラボレーション候補リストを作成できます。","ctaLabel":"インフルエンサースクレイピングガイド","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"Instagram leadsのemail検索","body":"Instagramハンドルだけでは、B2B outreachで直接アプローチできません。フォロワーリストをDatablistのウォーターフォール型email finderにかけることで、検証済みのビジネス用emailを見つけられます。","ctaLabel":"大規模なemail検索","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"アカウントBANのない大規模スクレイピング","body":"従来のツールでは、スクレイピング対策アルゴリズムに対してInstagramアカウントを危険にさらさざるを得ません。Datablistのサーバーサイドエンジンなら、アカウントのリスクを完全に排除できます。","ctaLabel":"Instagramフォロワーのドキュメント","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Instagramフォロワースクレイパーの比較","INTRO":"競合ツールはいずれも、アクティブなブラウザ上のクリック操作を自動化するか、機密性の高いセッションCookieの貼り付けを求めます。隔離されたクラウドインフラ上でスクレイピングを実行するプラットフォームはDatablistだけです。","HEADERS":["ツール","IGアカウント","必要なもの","料金","フォロワー単価","エンリッチメント"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"一切接続しません","needs":"プロフィールURLまたは@ハンドル","cost":"月額$25または無料トライアル","perFollower":"$$0.0001（0.01クレジット）","enrichment":"email・電話番号ウォーターフォール","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"リスクあり","needs":"お客様のセッションCookie（sessionid）","cost":"月額$69","perFollower":"時間制（約$0.003）","enrichment":"別のPhantomが必要","best":false},{"tool":"Apify","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/apify.svg","safety":"リスクあり／技術知識が必要","needs":"API設定とActor構成","cost":"月額$49","perFollower":"コンピュートユニット（変動）","enrichment":"なし（生データのみ）","best":false},{"tool":"Chrome拡張機能","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/chrome.svg","safety":"高リスク（アカウントBAN）","needs":"お客様のアカウント上の拡張機能","cost":"月額$15","perFollower":"約$0.001","enrichment":"なし","best":false}],"NOTE":"各料金は2026年9月に確認した、月払いにおける各ツールの最安プランです。Datablistのフォロワー単価は、月額$25プランにおける1フォロワーあたり0.01クレジットとして算出しています。","SOURCES":[{"n":1,"label":"Datablistの料金","href":"https://www.datablist.com/pricing"},{"n":2,"label":"PhantomBusterの料金","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apifyの料金","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Instagramへのログインを一切求めない唯一のスクレイパー","BODY":"500クレジット付きで無料で始められます。拡張機能、セッションCookie、クレジットカードは不要です。","LABEL":"無料アカウントを作成"}},"RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理が必要ですか？","ENRICHMENT":{"label":"Instagramフォロワースクレイパー","href":"/sources/instagram-followers","blurb":"複数のプロフィールから最大2,000,000人のフォロワーを一括スクレイピングし、クリエイターで絞り込んで、検証済みemailでエンリッチできます。"},"TOOLS":[{"label":"無料LinkedInプロフィールスクレイパー","href":"/tools/linkedin-profile-scraper","blurb":"任意のLinkedInプロフィールから、検証済みの職歴、スキル、現在の役職を抽出します。"},{"label":"無料Sales Navigatorスクレイパー","href":"/tools/sales-navigator-scraper","blurb":"LinkedInアカウントを接続せずに、Sales Navigatorの検索結果からleadsを抽出します。"},{"label":"無料Email Finder","href":"/tools/email-finder","blurb":"氏名とドメインをもとに、15社以上のプロバイダーを横断してウォーターフォール方式でemailを検索します。"}]},"FAQ":{"TITLE":"よくあるご質問","ITEMS":[{"question":"Instagramアカウントの接続やログイン情報の提供は必要ですか？","answer":"いいえ。Datablistがお客様のInstagramパスワード、二要素認証コード、セッションCookie（sessionid）を求めることは一切ありません。すべてのスクレイピングはDatablist専用のクラウドサーバーで実行されるため、個人用またはビジネス用のInstagramプロフィールが接続されることはなく、フラグ付けやBANの対象にもなりません。"},{"question":"100,000人を超えるフォロワーもスクレイピングできますか？","answer":"はい。Datablistでは100,000人を超えるフォロワーをスクレイピングでき、1コレクションあたり最大2,000,000件のデータセットに対応しています。抽出処理はすべてDatablist専用のクラウドインフラ上で実行されるため、大規模なフォロワーリストも、ブラウザのメモリクラッシュやレート制限による中断なしで継続的に処理できます。"},{"question":"Instagramフォロワーのスクレイピングは合法ですか？","answer":"はい。公開プロフィール上で一般公開されているデータのスクレイピングは、主要な法域で合法です。Datablistが抽出するのは未ログインの訪問者にも表示されるデータのみであり、非公開プロフィールの制限を回避することはありません。"},{"question":"どのデータ項目が抽出されますか？emailアドレスも検索できますか？","answer":"この無料ツールでは、ユーザーID、ユーザーネーム、氏名、プロフィールURL、アカウントの公開設定、認証ステータスを取得できます。公開設定または認証ステータスが不明な場合は、未指定のまま表示されます。抽出後、スクレイピングしたハンドルを、15社以上のデータプロバイダーに対応するDatablistのウォーターフォール型email・電話番号finderにかけ、検証済みの連絡先情報を取得できます。"},{"question":"DatablistでInstagramフォロワーをスクレイピングする料金はいくらですか？","answer":"フォロワーのスクレイピングには、1フォロワーあたり0.01クレジット（1クレジットで100フォロワー）がかかります。Datablistの無料アカウントには、登録時に500無料クレジット（50,000フォロワー分）が付与されます。有料プランは月額$25、5,000クレジット（500,000フォロワー分）からで、クレジットに有効期限はありません。"}]}},"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フォロワー","DESCRIPTION":"InstagramプロフィールURL、ユーザーネーム、またはハンドル","PLACEHOLDERS":["https://www.instagram.com/nike/ または @nike"],"ROW_LABEL":"Instagramプロフィール","REMOVE_ROW":"プロフィールを削除","ADD_ROW":"プロフィールを追加","ROW_LIMIT":"1回の実行につき、プロフィール1件、最大100フォロワーまでです。","EMPTY":"Instagramプロフィールを入力して開始してください","READY_ONE":"1件のプロフィールを処理できます","READY_MANY":"{count}件のプロフィールを処理できます","FIND_ONE":"フォロワーをスクレイピング","FIND_MANY":"フォロワーをスクレイピング","SAMPLE_BUTTON":"サンプル結果を見る","SAMPLE_NOTICE":"架空のフォロワーを使用したサンプルです。このプレビューはブラウザ内で実行され、クレジットは消費しません。","REJECTED_ONE":"このプロフィールは使用できませんでした。形式をご確認ください。","REJECTED_MANY":"{count}件の入力を使用できませんでした。形式をご確認ください。","OVERFLOW":"{count}件のプロフィールが貼り付けられました。この無料ツールでは一度に1件のみ処理できます。","PROCESS_ALL":"Datablistですべての{count}件のプロフィールをスクレイピング","NO_MATCH":"このプロフィールのフォロワーは取得できませんでした。","COPY_ROW":"{name}のプロフィールURLをコピー","START_OVER":"最初からやり直す","COPY_ALL":"CSVをコピー","DOWNLOAD_CSV":"CSVをダウンロード","COPY_ERROR":"コピーに失敗しました。もう一度お試しいただくか、CSVをダウンロードしてください。","PRIVACY":"入力内容と結果は、このブラウザで24時間ご利用いただけます。Datablistは処理の完了とサポートのため、タスクデータをそれより長く保持します。","UNAVAILABLE":"この無料ツールは現在一時的にご利用いただけません。Datablistアプリは引き続きご利用いただけます。","QUOTA_REACHED":"この無料ツールの1日あたりの上限に達しました。{hours}時間{minutes}分後に再度お試しいただくか、Datablistで続行してください。","QUOTA_RUN_TOO_LARGE":"このスクレイピングは、本日の残り上限を超えています。{hours}時間{minutes}分後に再度お試しください。","QUOTA_REMAINING":"本日の残りクレジット：{limit}中{remaining}","QUOTA_REDUCE":"本日の残りクレジットは{remaining}です。1日あたりの上限がリセットされるまでお待ちください。","QUOTA_WAIT":"本日の上限に達しました。{hours}時間{minutes}分後に再度お試しください。","CHALLENGE_REQUIRED":"フォロワーをスクレイピングする前に、認証を完了してください。","RUN_FAILED":"スクレイピングを完了できませんでした。取得できたフォロワーは以下に表示されています。","SUBMISSION_UNKNOWN":"スクレイピングが開始されたか確認しています。ページを再読み込みしてステータスをご確認ください。重複送信はしないでください。","RETRY_STATUS":"現在、スクレイピングのステータスを確認できませんでした。ページを再読み込みして、もう一度お試しください。","EXPIRED":"この結果は、このブラウザではご利用いただけなくなりました。","BANNER":"Datablistで大規模なフォロワーリストをスクレイピングし、エンリッチできます。カード登録不要、500無料クレジットで始められます。","BANNER_CTA":"500無料クレジットを獲得","RESULT_CTA":"Datablistで大規模なフォロワーリストをスクレイピングできます。","RESULT_CTA_BUTTON":"Datablistを開く","HISTORY_TITLE":"最近のスクレイピング","HISTORY_DESCRIPTION":"このブラウザでは、スクレイピングを最大24時間、開いたり削除したりできます。ここから削除しても、スクレイピングは停止せず、クレジットも返還されません。","HISTORY_REMOVE":"このブラウザから{name}を削除","HISTORY_COMPLETE":"完了","HISTORY_FAILED":"確認が必要","HISTORY_ATTENTION":"ステータスを確認中","HISTORY_RUNNING":"処理中","DEBUG_NOTICE":"ベータ版アクションのデバッグ結果です。これはテストデータです。","LABEL":"InstagramプロフィールURL、ユーザーネーム、またはハンドル","PLACEHOLDER":"https://www.instagram.com/cristiano/ または @nike","SCRAPE":"フォロワーをスクレイピング","SCRAPING":"スクレイピング中","SAFETY":"Instagramへのログイン、Cookie、パスワードは不要です。お客様のアカウントには一切接続しません。","SAMPLES":"または、サンプルをお試しください：","ERRORS":{"EMPTY":{"REASON":"InstagramプロフィールのURL、ユーザーネーム、またはハンドルを入力してください。"},"USERNAME":{"REASON":"有効なInstagramユーザーネームを入力してください。"},"TOO_LONG":{"REASON":"Instagramのユーザーネームは30文字以内で入力してください。"},"CHARACTERS":{"REASON":"ユーザーネームに使用できない文字が含まれています。","HINT":"Instagramのユーザーネームには、英字、数字、ピリオド、アンダースコアのみ使用できます。"},"RESERVED_HANDLE":{"REASON":"「{value}」はInstagramのシステムページであり、ユーザープロフィールではありません。"},"BAD_URL":{"REASON":"有効なURLまたはユーザーネームではないようです。","HINT":"Instagramプロフィールのリンク（例：https://www.instagram.com/cristiano/）またはハンドル（@cristiano）を入力してください。"},"WRONG_SITE":{"REASON":"これはInstagramではなく、{value}のリンクです。","HINT":"Instagramプロフィールのリンク（例：instagram.com/username）またはハンドルを入力してください。"},"HOMEPAGE":{"REASON":"これはInstagramのホームページであり、特定のプロフィールではありません。","HINT":"instagram.com/nike/ のように、末尾にユーザーネームが含まれるプロフィールURLを貼り付けてください。"},"POST":{"REASON":"これはInstagramの個別投稿またはリールへのリンクであり、プロフィールではありません。","HINT":"フォロワーをスクレイピングするには、投稿者のプロフィールページを開き、そのURLをコピーしてください。"},"STORY":{"REASON":"これはInstagramストーリーズのリンクです。","HINT":"ストーリーズは一時的なもので、公開フォロワーリストはありません。クリエイターのプロフィールURLを貼り付けてください。"},"EXPLORE":{"REASON":"これはInstagramのタグまたは発見タブのページであり、プロフィールではありません。","HINT":"フォロワーをスクレイピングするクリエイター、ブランド、またはインフルエンサーのプロフィールURLを入力してください。"},"SYSTEM_PAGE":{"REASON":"これはInstagramのシステムページを指しており、ユーザープロフィールではありません。"},"PROFILE_USERNAME":{"REASON":"このURLに含まれるプロフィールのユーザーネームは無効です。","HINT":"URLが https://www.instagram.com/username/ の形式になっているかご確認ください。"}},"SCRAPE_ERROR":"スクレイピングを完了できませんでした。しばらくしてからもう一度お試しください。","RESULTS":"@{handle}の最初の{count}人のフォロワーを無料で表示しています。","USER":"ユーザー","USER_ID":"ユーザーID","ACCOUNT_PRIVACY":"公開設定","PROFILE":"プロフィール","ID":"ID：{id}","VERIFIED":"認証済み","PRIVATE":"非公開","PUBLIC":"公開","VIEW":"表示","COPIED":"コピーしました","COPY":"コピー","DOWNLOAD":"CSVをダウンロード","SCRAPE_FULL":"リスト全体をスクレイピング","RESULT_NOTE":"無料プレビューでは、連絡先情報を除く{count}人のフォロワーを表示します。最大2,000,000人のフォロワーを一括スクレイピングし、email・電話番号finderでウォーターフォール検索するには、Datablistの以下のツールをご利用ください：","SOURCE_LABEL":"Instagramフォロワースクレイパー","CSV_HEADER":"ユーザーID,ユーザーネーム,氏名,認証済み,非公開,プロフィールURL,フォロー先","YES":"はい","NO":"いいえ","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"無料LinkedInプロフィールスクレイパー | Datablist","META_SOCIAL_TITLE":"無料LinkedInプロフィールスクレイパー","META_DESCRIPTION":"LinkedInアカウントを接続せずに、LinkedInの個人プロフィールを検索できます。取得可能な本人情報、職歴、学歴データを確認できます。1日あたりの利用上限があります。","SCHEMA_NAME":"Datablist無料LinkedInプロフィールスクレイパー","BREADCRUMB_CURRENT":"LinkedInプロフィールスクレイパー","HERO":{"TITLE":"無料LinkedInプロフィールスクレイパー","DESCRIPTION":"LinkedInまたはSales Navigatorの個人URLを貼り付けると、取得可能なプロフィール、職歴、学歴の詳細を確認できます。LinkedInへのログインやセッションCookieは不要です。"},"SAFETY":{"TITLE":"LinkedInアカウントへの接続は不要です","ITEMS":[{"safe":true,"label":"Datablist","body":"必要なのはプロフィールURLのみです。LinkedInへのログイン、セッションCookie、ブラウザ拡張機能を使用せず、Datablistのインフラ上で処理します。"},{"safe":false,"label":"Chrome拡張機能","body":"Evaboot、Skrappなどのブラウザツールは、ログイン中のブラウザセッション内でクリックやページ閲覧を自動化します。LinkedInはクライアント側の自動化を検知し、使用しているアカウントを制限します。"},{"safe":false,"label":"Cookieベースのクラウドツール","body":"Phantombusterなどのクラウド型ツールでは、機密性の高いli_atセッションCookieをコピーして貼り付ける必要があります。有効なセッションを第三者の共有サーバーに渡すと、アカウントが検知・停止されるリスクが生じます。"}]},"SOCIAL":{"TITLE":"スタートアップから大企業まで幅広くご利用いただいています","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リードジェネレーションツール"}],"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":"ご利用方法","STEPS":[{"step":1,"title":"LinkedInプロフィールURLをコピー","body":"LinkedInまたはSales Navigatorでスクレイピングしたいプロフィールを開き、ブラウザのアドレスバーからリンクをコピーします。通常のプロフィールURL（linkedin.com/in/...）とSales NavigatorのリードURLの両方に対応しています。"},{"step":2,"title":"こちらにURLを貼り付け","body":"上の入力欄にURLを貼り付けてください。処理前にトラッキングパラメーター（trkやlipiなど）を自動的に削除します。ログイン情報、パスワード、Chrome拡張機能、セッションCookieは一切必要ありません。"},{"step":3,"title":"構造化されたプロフィール情報を取得","body":"抽出処理は、個人のLinkedInアカウントから完全に分離されたDatablist専用インフラ上で実行されます。氏名、ヘッドライン、概要、現在の勤務先の企業属性、過去の職歴、学歴を、整理された構造化データとして取得できます。"}],"CTA":{"TITLE":"20件のプロフィールを無料で一括スクレイピング","BODY":"無料のDatablistアカウントには、最初から500クレジットが付与されます。CSVをアップロードすれば、リスト全体を数分でエンリッチできます。","LABEL":"無料アカウントを作成"}},"DATA":{"TITLE":"各LinkedInプロフィールから取得できるデータ","ITEMS":[{"icon":"UserCheck","title":"本人情報と所在地","description":"見込み顧客を正確に特定し、オーディエンスをセグメント化するための基本的な個人データです。","fields":["名","姓","氏名","ヘッドライン","自己紹介／概要","市区町村、都道府県、国","国コード（ISO-2）"]},{"icon":"Database","title":"現在の役職と企業属性","description":"ICPとの適合性を評価し、ターゲットを絞ったアウトバウンドメッセージに活用できる詳細な勤務先データです。","fields":["役職名","会社名","企業LinkedIn URL","企業Webサイト","業界","従業員数の範囲","着任日と在職期間","役職の説明"]},{"icon":"BriefcaseIcon","title":"キャリアと職歴","description":"過去2件までの役職について、取得可能な詳細情報を提供します。","fields":["過去2件の役職名","過去の会社名","在職期間と日付","職務内容と実績"]},{"icon":"Layers","title":"学歴と言語","description":"取得可能な学歴および言語の詳細情報です。","fields":["大学／学校名","取得学位","専攻分野","卒業年月","使用言語"]}]},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"コールドメールとメッセージのパーソナライズ","body":"見込み顧客の職歴、最近の転職、経歴概要をスクレイピングし、相手に響き成果につながる高度にパーソナライズされたコールドアウトリーチを作成できます。","ctaLabel":"リードリスト作成ガイド","ctaHref":"/how-to/lead-list-building-guide"},{"title":"候補者のソーシングと採用","body":"取得可能な過去の勤務先や学歴を含む候補者プロフィール全体を抽出し、整理された人材データベースへ直接取り込めます。","ctaLabel":"LinkedIn詳細情報のスクレイピングガイド","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"認証済み仕事用メールアドレスの検索","body":"Datablistの20社以上のプロバイダーを横断するウォーターフォール型emailエンリッチメントを使用し、スクレイピングした氏名と企業Webサイトから、認証済みの仕事用メールアドレスを取得できます。","ctaLabel":"大規模なemail検索","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"CRMの連絡先とアカウント情報の更新","body":"SalesforceまたはHubSpotの連絡先を最新の状態に保てます。転職、昇進、企業属性の更新を、手作業で入力することなく自動的に検出します。","ctaLabel":"CRMデータエンリッチメントガイド","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"LinkedInプロフィールスクレイパーの比較","INTRO":"多くのLinkedInスクレイパーは、利用中のセッションを自動操作するか、予測しにくい実行時間に応じて課金します。Datablistは独自のクラウドインフラ上で独立して稼働し、プロフィール単位の明確な料金体系を採用しています。","HEADERS":["ツール","LinkedInアカウント","必要なもの","料金","プロフィール単価","CSV一括処理"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/linkedin-profile-scraper/datablist.png","values":["接続しません","公開プロフィールURLのみ","$$25/月","$$0.025","対応、100k+行"],"best":true},{"tool":"Phantombuster","favicon":"/free-tools/linkedin-profile-scraper/phantombuster.png","values":["リスクあり","セッションCookie（li_at）","$$69/月","分単位の課金","制限あり"],"best":false},{"tool":"Apify","favicon":"/free-tools/linkedin-profile-scraper/apify.svg","values":["リスクあり","Actorの設定／プロキシキー","$$29/月","変動","API/JSON経由"],"best":false},{"tool":"Clay","favicon":"/free-tools/linkedin-profile-scraper/clay.png","values":["安全（データベース検索）","データベース検索（リアルタイムではありません）","$$185/月","$$0.05 - $0.10","対応"],"best":false},{"tool":"Evaboot","favicon":"/free-tools/linkedin-profile-scraper/evaboot.png","values":["リスクあり","ご利用アカウント上の拡張機能","$$9/月","$$0.09","Sales Navのみ"],"best":false}],"NOTE":"料金は、2026年9月に各ベンダーの公開中の料金ページで確認した、月払いの最安プランです。Datablistのプロフィール単価は、月額$25のプランで1プロフィールあたり25クレジットとして算出しています。","SOURCES":[{"n":1,"label":"Datablistの料金","href":"/pricing"},{"n":2,"label":"Phantombusterの料金","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apifyの料金","href":"https://apify.com/pricing"},{"n":4,"label":"Clayの料金","href":"https://clay.com/pricing"},{"n":5,"label":"Evabootの料金","href":"https://evaboot.com/pricing"}],"CTA":{"TITLE":"LinkedInアカウントに一切接続しない唯一のスクレイパー","BODY":"500クレジットを無料でご利用いただけます。拡張機能、セッションCookie、クレジットカードは不要です。","LABEL":"無料アカウントを作成"}},"RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理が必要ですか？","ENRICHMENT":{"label":"LinkedInプロフィールスクレイパー","href":"/enrichments/linkedin-profile-scraper-bulk","blurb":"LinkedInアカウントを接続せずに、DatablistでCSVから大規模なLinkedInプロフィールリストを処理できます。"},"TOOLS":[{"label":"無料Sales Navigatorスクレイパー","href":"/tools/sales-navigator-scraper","blurb":"アカウントを接続せずに、Sales Navigatorの検索結果からリードを抽出できます。"},{"label":"無料Email Finder","href":"/tools/email-finder","blurb":"氏名と企業ドメインから、認証済みの仕事用メールアドレスを検索できます。"},{"label":"無料ドメイン検索ツール","href":"/tools/domain-finder","blurb":"会社名を公式Webサイトのドメインに変換し、信頼度スコアも確認できます。"}]},"FAQ":{"TITLE":"よくあるご質問","ITEMS":[{"question":"DatablistはLinkedInアカウントに接続したり、セッションCookieを使用したりしますか？","answer":"いいえ。DatablistがLinkedInアカウントに接続することはなく、パスワードやセッションCookie（li_at）を求めることもありません。すべてのスクレイピングは公開プロフィールデータを使用し、当社専用のクラウドインフラ上で完結するため、アカウントの制限や停止のリスクを完全に排除できます。"},{"question":"スクレイピングしたプロフィールから認証済みの仕事用メールアドレスを検索できますか？","answer":"はい。Datablistでは、スクレイピングした氏名と企業ドメインを20社以上のデータプロバイダーにまたがるWaterfall Email Finderで順次検索し、メールアドレスの発見と認証を行えます。クレジットは確認済みの一致に対してのみ消費されます。"},{"question":"各LinkedInプロフィールからどのようなデータが抽出されますか？","answer":"取得可能な本人情報、ヘッドライン、概要、所在地、言語、つながり、現在の職務、過去2件までの役職、最初の学歴情報が返されます。取得できない項目は空欄になります。スキル、画像、URNは含まれません。"},{"question":"LinkedInプロフィールを一括スクレイピングし、Sales NavigatorのURLも使用できますか？","answer":"はい。Datablistは、通常のLinkedInプロフィールURLとSales NavigatorのリードURLに対応しています。数千件のリンクを含むCSVをアップロードし、約3分で1,000件のプロフィールを一括スクレイピングできます。"},{"question":"Datablistでプロフィールをスクレイピングする料金はいくらですか？","answer":"スクレイピングには、プロフィール1件あたり25クレジット（キャッシュデータの場合は20クレジット）が必要です。すべての無料アカウントには登録時に500無料クレジット（完全なプロフィール20件分）が付与されます。有料プランは5,000クレジット付きで月額$25からとなり、クレジットに有効期限はありません。"},{"question":"このツールはキャッシュされたプロフィールデータを返せますか？","answer":"はい。この無料ツールはキャッシュされたプロフィールに対応しています。データが不完全または古い場合があります。取得可能な場合、現在の役職1件、過去の役職2件まで、学歴1件を返しますが、スキル、プロフィール画像、LinkedIn URNは返しません。実行ごとに、セッションおよびIP単位で1日25クレジットの利用枠から25クレジットを確保します。"}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use LinkedIn Profile Scraper","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than one LinkedIn profile?","BULK_DESCRIPTION":"Import a CSV or Excel file of LinkedIn profile URLs into Datablist and retrieve available profile, employment, and education details in bulk. Review the results and export the enriched list.","BULK_CTA":"Explore bulk LinkedIn Profile Scraper","API_TITLE":"Retrieve LinkedIn profile data from your code","API_DESCRIPTION":"Use the LinkedIn Profile Scraper API to add profile lookups to your application or automated workflow. Send LinkedIn profile URLs and retrieve available profile, employment, and education details.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"プロフィール","DESCRIPTION":"LinkedInプロフィールURLまたはSales NavigatorのリードURLを1件入力してください","PLACEHOLDERS":["https://www.linkedin.com/in/username または https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"LinkedInプロフィールURL","REMOVE_ROW":"行{number}を削除","ADD_ROW":"別の行を追加","ROW_LIMIT":"1回の実行につきLinkedInプロフィール1件までです。","EMPTY":"LinkedInプロフィールURLを貼り付けて開始してください","READY_ONE":"このプロフィールを検索する準備ができました","READY_MANY":"このプロフィールを検索する準備ができました","FIND_ONE":"プロフィールをスクレイピング","FIND_MANY":"プロフィールをスクレイピング","SAMPLE_BUTTON":"サンプル結果を表示","SAMPLE_NOTICE":"説明用のサンプル結果です。このプレビューではクレジットを消費しません。","REJECTED_ONE":"1件の入力を使用できませんでした。形式をご確認ください。","REJECTED_MANY":"{count}件の入力を使用できませんでした。形式をご確認ください。","OVERFLOW":"一度に実行できるプロフィールは1件です。","PROCESS_ALL":"{count}件すべてを処理","NUMBER":"#","COMPANY_NAME":"会社名","DOMAIN":"ドメイン","CONFIDENCE":"信頼度","STATUS":"ステータス","NO_MATCH":"プロフィールデータが見つかりません","COPY_ROW":"{name}のドメインをコピー","START_OVER":"最初からやり直す","COPY_ALL":"CSVをコピー","DOWNLOAD_CSV":"CSVをダウンロード","DOWNLOAD_FILENAME":"linkedin-profile.csv","DOWNLOAD_JSON":"JSONをダウンロード","DOWNLOAD_JSON_FILENAME":"linkedin-profile.json","HIGH":"高","MEDIUM":"中","LOW":"低","VERY_LOW":"非常に低い","PRIVACY":"入力内容と結果は、このブラウザで24時間ご利用いただけます。Datablistは、処理の完了とサポートのためにタスクデータをそれより長く保持します。","UNAVAILABLE":"この無料ツールは現在一時的にご利用いただけません。Datablistアプリは引き続きご利用いただけます。","QUOTA_REACHED":"この無料ツールの1日あたりの利用上限に達しました。{hours}時間{minutes}分後にもう一度お試しいただくか、Datablistで続行してください。","QUOTA_RUN_TOO_LARGE":"この検索は、この無料ツールで本日利用できる残りの上限を超えています。件数を減らすか、{hours}時間{minutes}分後にもう一度お試しください。","QUOTA_REMAINING":"本日の残りクレジット：{remaining}/{limit}","QUOTA_REDUCE":"本日の残りクレジットは{remaining}です。このプロフィール検索には25クレジットが必要です。","QUOTA_WAIT":"本日の利用上限に達しました。{hours}時間{minutes}分後にもう一度お試しください。","CHALLENGE_REQUIRED":"検索を実行する前に認証を完了してください。","RUN_FAILED":"処理を完了できませんでした。取得済みの結果を開くか、後でもう一度お試しください。","SUBMISSION_UNKNOWN":"検索が開始されたか確認しています。ページを再読み込みしてステータスをご確認ください。再送信はお控えください。","RETRY_STATUS":"現在、検索ステータスを確認できませんでした。ページを再読み込みしてもう一度お試しください。","EXPIRED":"この結果は、このブラウザではご利用いただけなくなりました。","BANNER":"さらに多くのプロフィールが必要ですか？Datablistで続行できます。","BANNER_CTA":"Datablistを開く","RESULT_CTA":"DatablistでLinkedInプロフィールのリスト全体をエンリッチできます。","RESULT_CTA_BUTTON":"Datablistを開く","CSV_NAME":"氏名","LOADING":"読み込み中","ERROR":"エラー","COMPLETE":"完了","HISTORY_TITLE":"最近の検索","HISTORY_DESCRIPTION":"結果が利用可能な間、最長24時間、このブラウザから検索結果を開いたり削除したりできます。こちらで削除しても、検索処理は停止されず、クレジットも復元されません。","HISTORY_REMOVE":"このブラウザから{name}を削除","HISTORY_COMPLETE":"完了","HISTORY_FAILED":"確認が必要です","HISTORY_ATTENTION":"ステータスを確認中","HISTORY_RUNNING":"処理中","LABEL":"LinkedInプロフィールURLまたはSales NavigatorのリードURL","PLACEHOLDER":"https://www.linkedin.com/in/username または https://www.linkedin.com/sales/lead/...","SCRAPE":"プロフィールをスクレイピング","SAFETY":"LinkedInへのログイン、Cookie、セッションIDは不要です。お客様のアカウントに接続することはありません。","SAMPLES":"またはサンプルをお試しください：","RESULTS":"{name}から抽出した詳細情報です。無料でご確認いただけます。","TABLE":"データテーブル","OVERVIEW":"概要カード","PROPERTY":"項目","VALUE":"抽出値","IDENTITY":"本人情報と所在地","CURRENT":"現在の役職と企業属性","HISTORY":"職歴（{count}件）","EDUCATION_SKILLS":"学歴と言語","CONNECTIONS":"つながり","LANGUAGES":"言語","NAME":"氏名","FIRST_LAST":"名・姓","HEADLINE":"ヘッドライン","SUMMARY":"自己紹介／概要","LOCATION":"所在地","LOCATION_VALUE":"{location}（国：{country}）","PROFILE_URL":"プロフィールURL","URN":"LinkedIn URN","JOB":"現在の役職名","COMPANY":"会社名","WEBSITE":"企業Webサイト","INDUSTRY_SIZE":"業界と規模","DATES":"在職期間／日付","PREVIOUS_ROLE":"過去の役職 #{number}","ROLE_AT":"{company}の{title}","EDUCATION":"学歴 #{number}","SKILLS":"主なスキル","BIO":"自己紹介／経歴","POSITION":"現在の役職","PAST":"過去の職歴","COPY_CSV":"CSVをコピー","COPIED_CSV":"CSVをコピーしました","COPY_JSON":"JSONをコピー","COPIED_JSON":"JSONをコピーしました","DOWNLOAD":"CSVをダウンロード","FULL_LIST":"リスト全体をスクレイピング","RESULT_NOTE":"無料プレビューでは、個別プロフィールから完全なデータ項目を抽出します。アカウントへのリスクなしで、CSVから数百件または数千件のプロフィールを一括スクレイピングするには、Datablistの","COPY_ERROR":"コピーに失敗しました。もう一度お試しいただくか、CSVをダウンロードしてください。","CSV_HEADERS":["氏名","名","姓","ヘッドライン","役職名","会社名","企業Webサイト","企業LinkedIn URL","業界","従業員数の範囲","市区町村","都道府県","国","国コード","正規化済みプロフィールURL","概要","過去の職歴1：役職名","過去の職歴1：会社名","過去の職歴1：在職期間","過去の職歴2：役職名","過去の職歴2：会社名","過去の職歴2：在職期間","学校名","学位","言語"],"ERRORS":{"EMPTY":{"REASON":"LinkedInプロフィールURLを貼り付けてください。","HINT":"例：https://www.linkedin.com/in/satyanadella"},"INVALID_URL":{"REASON":"有効なURLではないようです。","HINT":"linkedin.comから始まる完全なリンクを貼り付けてください。"},"WRONG_SITE":{"REASON":"LinkedInのURLではありません。","HINT":"このURLは「{value}」を参照しています。LinkedInプロフィールのリンクを貼り付けてください。"},"COMPANY":{"REASON":"個人プロフィールではなく、企業または教育機関のページです。","HINT":"個人をスクレイピングするには、linkedin.com/in/username形式の個人プロフィールURLを貼り付けてください。"},"SEARCH":{"REASON":"プロフィールURLではなく、検索結果のURLです。","HINT":"検索結果をスクレイピングするには、無料Sales Navigatorスクレイパーをお試しください。このツールでは、プロフィールをクリックして個別リンクを貼り付けてください。"},"POST":{"REASON":"プロフィールではなく、LinkedInフィードの投稿または記事です。","HINT":"投稿者名をクリックしてプロフィールを開き、そのプロフィールURLをコピーして貼り付けてください。"},"PATH":{"REASON":"認識できないLinkedInプロフィールのパスです。","HINT":"linkedin.com/in/username形式のプロフィールリンクまたはSales NavigatorのリードURLを貼り付けてください。"}},"VERIFIED_PROFILE":"確認済みプロフィール","SCRAPED_CLEAN":"プロフィールデータ","ENRICHMENT_LABEL":"LinkedInプロフィールスクレイパー","RESULT_NOTE_SUFFIX":"一括エンリッチメントをご利用ください。","DEBUG_NOTICE":"ベータ版アクションのデバッグ結果です。送信された人物を検索した結果ではなく、テストデータです。","CHANGED":"変更あり","UNCHANGED":"変更なし","CSV_HEADER_LINE":"氏名|名|姓|ヘッドライン|役職名|会社名|企業Webサイト|企業LinkedIn URL|業界|従業員数の範囲|市区町村|都道府県|国|国コード|正規化済みプロフィールURL|概要|過去の職歴1：役職名|過去の職歴1：会社名|過去の職歴1：在職期間|過去の職歴2：役職名|過去の職歴2：会社名|過去の職歴2：在職期間|学校名|学位|言語"}},"UseCaseAiScraping":{"PAGE_TITLE":"ノーコードでAI Webスクレイピング","PAGE_DESC":"シンプルなプロンプトで数千のWebサイトをスクレイプ。DatablistのAIエージェントがご要件を理解し、ページをナビゲートして構造化データを抽出します—コードは一切不要です。","USE_CASE":"ユースケース","HERO_TITLE":"ノーコードでAI Webスクレイピング","HERO_DESC":"シンプルなプロンプトで数千のWebサイトをスクレイプ。DatablistのAIエージェントがご要件を理解し、ページをナビゲートして構造化データを抽出します—コードは一切不要です。","PROBLEM_TITLE":"従来のWebスクレイピングは壊れやすい","PROBLEM_BODY":"CSSセレクタに依存するスクレイパーは脆弱で、常に保守が必要です。サイトのレイアウトが少し変わるだけで、ワークフロー全体が破綻することがあります。DatablistのAIエージェントはコンテンツを人間のように理解するため、この課題を克服し、サイトの更新にも強くなります。","PROMPT_TITLE":"シンプルなプロンプトから構造化データへ","PROMPT_CONTENT_1":"複雑な設定は忘れてください。AIエージェントに平易な英語で必要なことを伝えるだけです。「About Us」ページからCEOの氏名を見つけたい？そう依頼してください。カテゴリーページから商品価格を抽出したい？探している内容を説明するだけで結構です。","PROMPT_CONTENT_2":"エージェントが指示を解釈し、Webを閲覧して、クリーンで構造化されたデータをスプレッドシートに直接返します。","SCALE_TITLE":"スケールのための設計、どなたでも始めやすい価格","SCALE_CONTENT_1":"10サイトでも1万サイトでも、当社のAIエージェントは対応いたします。ページネーションやプロキシ管理といった技術的な処理は自動で実行しますので、プロセスではなくデータに集中していただけます。","SCALE_CONTENT_2":"クレジット制でコスト効率に優れ、大規模なスクレイピングも手頃に実行できます。必要なときに、必要なデータを確実に入手いただけます。","ROBUST_TITLE":"あらゆるWebサイト、あらゆる変更に適応","ROBUST_CONTENT_1":"現代のWebは動的で、常に変化しています。当社のAIエージェントはレジリエントに設計されています。データの文脈や意味を理解するため、固定的なサイト構造に依存しません。","ROBUST_CONTENT_2":"その結果、より信頼性の高いデータ抽出が可能になり、壊れたスクレイパーの修正に費やす時間を削減できます。Webの複雑さはAIにお任せください。","USECASES_TITLE":"AIスクレイピングでデータの可能性を解き放つ","USECASES_LEADGEN_TITLE":"リードジェネレーションを加速","USECASES_LEADGEN_CONTENT_1":"基本的な企業属性（ファーモグラフィック）を超えて、AIエージェントで企業サイトから導入事例、使用テクノロジー、最新ニュースなどをスクレイプします。","USECASES_LEADGEN_CONTENT_2":"こうしたリッチで文脈のあるデータは、高度にパーソナライズされた効果的なアウトリーチキャンペーンの強力な原動力になります。","USECASES_MARKET_TITLE":"市場・競合リサーチを自動化","USECASES_MARKET_CONTENT_1":"手作業のリサーチに何時間も費やすのはやめましょう。競合サイトの製品アップデート、価格変更、新規求人などを自動でモニタリングできます。","USECASES_MARKET_CONTENT_2":"Trustpilot や Trusted Shops などのサイトからカスタマーレビューを収集し、センチメントを分析して市場トレンドを特定します。","USECASES_ECOMMERCE_TITLE":"EC・商品モニタリング","USECASES_ECOMMERCE_CONTENT_1":"あらゆるECサイトから商品リストをスムーズにスクレイプ。商品名、価格、SKU、説明、カスタマーレビューを抽出します。","USECASES_ECOMMERCE_CONTENT_2":"競合の在庫状況を把握し、価格戦略をモニタリングしたり、自社プラットフォーム向けに商品データを集約したりできます。","BENEFITS_TITLE":"強力なスクレイピングをシンプルに","BENEFITS_NOCODE_TITLE":"ノーコードインターフェース","BENEFITS_NOCODE_BODY":"プログラミングスキルは不要です。指示を書ければWebをスクレイプできます。直感的なインターフェースにより、どなたでもデータ抽出を簡単にご利用いただけます。","BENEFITS_FLEXIBLE_TITLE":"柔軟かつ設定自在","BENEFITS_FLEXIBLE_BODY":"スクレイピングタスクをニーズに合わせて最適化できます。単一のデータポイントだけでも、丸ごとのデータセットでも抽出可能。AIエージェントがお客様の要件に適応します。","BENEFITS_SCALABLE_TITLE":"スケーラブルかつ自動化","BENEFITS_SCALABLE_BODY":"小さなタスクから大規模なデータ収集プロジェクトまで、AIエージェントが共にスケールします。定期スクレイプをスケジュールして、データを常に新鮮に自動更新できます。","BENEFITS_PRECISE_TITLE":"高精度で構造化された出力","BENEFITS_PRECISE_BODY":"必要なデータを整然としたフォーマットで取得できます。AIエージェントが構造化された結果をスプレッドシートに直接出力し、分析やエクスポートにすぐお使いいただけます。","SEE_ALSO":"こちらもご覧ください","VIDEO_TITLE":"AIスクレイピングのデモをご覧ください","VIDEO_TEXT":"シンプルなプロンプトで1分かからずにカスタムのリードスコアリングモデルを構築する方法をご覧ください。数式不要、手間いらず。"},"UseCaseDataCleaning":{"PAGE_TITLE":"データクレンジングを自動化。","PAGE_DESC":"Datablist は、重複排除・正規化・データエンリッチメントを簡単に行える強力で使いやすいツールキットを提供し、混沌としたデータを明確で活用可能な情報へと変えます。","USE_CASE":"ユースケース","HERO_TITLE":"データクレンジングを自動化。","VIDEO_TITLE":"No.1 ノーコード・データクレンジングツール","VIDEO_TEXT":"数クリックでデータを抽出・変換・クレンジング。制限なし、もう数式は不要です。","HERO_DESC":"雑然としたスプレッドシートや散らかった CRM との格闘は終わりにしましょう。Datablist は、重複排除・正規化・データエンリッチメントを簡単に行える強力で使いやすいツールキットを提供し、混沌としたデータを明確で活用可能な状態へと変えます。","MASTER_TITLE":"混乱したデータからアクショナブルなインサイトへ","MASTER_BODY":"不正確なデータは時間とコストの損失につながります。複数のリードソース、Webスクレイピングしたコンテンツ、チームごとの入力など、起点が違うとデータは乱れ、キャンペーンの失敗や誤った意思決定を招きます。Datablist は、スケールでリストをクレンジング・統合・標準化するための中核ハブとして機能し、データを常に信頼でき、すぐに活用できる状態に保ちます。","DEDUPE_CRM_TITLE":"CRM とリストをスマートに重複排除","DEDUPE_CRM_CONTENT_1":"CRM は信頼できる唯一の情報源ですが、重複があると信頼性は損なわれます。「John Smith」と「Jon Smith」、「Example Inc.」と「Example LLC」——こうした違いが混乱を招きます。Datablist は単純なマッチングを超えたアプローチを提供します。","DEDUPE_CRM_CONTENT_2":"当社の高度なアルゴリズム（ファジー、発音類似、スマートマッチング）が類似する人物や企業を検出して統合し、重要な情報を失うことなく集約します。Pipedrive、HubSpot など、あらゆる CRM のエクスポートを数分でクリーンにできます。","MERGE_TITLE":"複数ファイルをまたいでデータを統合","MERGE_CONTENT_1":"3つのスプレッドシートにリードが分散し、別のファイルには顧客データ。重複を増やさずにどう統合しますか？手作業でのファイル結合は遅く、ミスの温床です。","MERGE_CONTENT_2":"Datablist なら簡単です。すべてのリストをインポートし、メールやWebサイトなどの一意キーを定義すれば、ツールが自動でレコードをマージします。複数ソースのデータをクリーンなマスターリストに統合します。","NORMALIZE_TITLE":"ワンクリックでデータを標準化・正規化","NORMALIZE_CONTENT_1":"不整合なデータは使えません。表記がばらつく電話番号、大小が混在する役職名、乱れたURLは、効果的なフィルタリングや自動化を妨げます。行ごとに手作業で直すのは骨が折れます。","NORMALIZE_CONTENT_2":"Datablist の一括編集ツールを使えば、データ型の修正、テキストの大文字・小文字整理、余分なスペースの除去、電話番号やURLの正規化を、数千件のレコードに一気に適用できます。基準を定め、全データセットへ適用できます。","CLEANING_GRID_TITLE":"データクレンジングの完全ツールキット","CLEANING_GRID_DESC":"生データの混乱を、価値ある整然としたアセットへ変えるために必要なものをすべて提供します。","GRID_DEDUPE_TITLE":"高度な重複排除","GRID_DEDUPE_BODY":"スプレッドシートでは対応できないスマート・ファジー・発音類似のマッチングで、類似レコードを検出してマージします。","GRID_MERGE_TITLE":"リストのマージと統合","GRID_MERGE_BODY":"複数の CSV や Excel ファイルを一意キーで突合し、単一のマスターリストへ更新・統合します。","GRID_FIX_TITLE":"データ型を整える","GRID_FIX_BODY":"テキスト項目を日付・数値・チェックボックスなどの構造化データに簡単に変換し、正確にソートやフィルタリングできます。","GRID_AI_TITLE":"AI 搭載クレンジング","GRID_AI_BODY":"AI Editing ツールで、シンプルなテキストのプロンプトからカスタムスクリプトを生成。コードを書かずに複雑なクレンジングもこなせます。","GRID_ENRICH_TITLE":"エンリッチして欠落を補完","GRID_ENRICH_BODY":"欠落データをエンリッチしてレコードを完成。企業ドメインの特定、メールの検証、プロフィール情報の取得まで。","GRID_CONSOLIDATE_TITLE":"値の統合","GRID_CONSOLIDATE_BODY":"重複による不一致データを統合。複数の電話番号やメモも、情報を失わずに単一のクリーンなレコードへまとめます。","LEARN_MORE":"詳しく見る","SEE_ALSO":"関連情報"},"UseCaseInventoryManagement":{"PAGE_TITLE":"Eコマース在庫管理を自動化","PAGE_DESC":"手作業の更新に時間を浪費するのはやめましょう。強力なノーコードプラットフォームで、サプライヤーカタログを自動で取得・クレンジング・翻訳・同期し、すべての販売チャネルに配信します。","USE_CASE":"活用事例","HERO_TITLE":"Eコマース在庫管理を自動化","HERO_DESC":"手作業の更新に時間を浪費するのはやめましょう。強力なノーコードプラットフォームで、サプライヤーカタログを自動で取得・クレンジング・翻訳・同期し、すべての販売チャネルに配信します。","INTRO_TITLE":"乱雑なカタログから完璧な商品掲載へ","INTRO_BODY":"複数のサプライヤーからのプロダクトデータ管理は、形式の不一致、重複、終わりのない手修正に追われる悪夢のような作業です。Datablist はこの混乱をシンプルで自動化されたワークフローに変え、在庫を常に正確・最新・あらゆるマーケット向けに最適な形式へ整えます。","VIDEO_TITLE":"AI 編集の実演をご覧ください","VIDEO_TEXT":"シンプルなプロンプトでカタログの単位を更新する方法をご覧いただけます。数式も手間も不要です。","FETCH_TITLE":"サプライヤーカタログを自動取得","FETCH_CONTENT_1":"手動ダウンロードや煩雑なメール添付は不要です。自動インポーターを設定すれば、URL、FTP サーバー、API などあらゆるソースからカタログファイルを取得できます。更新は毎日・毎週・毎月でスケジュールでき、常に最新のデータを保てます。","FETCH_CONTENT_2":"スマートなスクレイパーにより、サプライヤーのWebサイトから商品データを直接抽出することも可能です。お手を煩わせることなく、最新情報を継続的に取り込めます。","TRANSFORM_TITLE":"AIでデータを変換・標準化","TRANSFORM_CONTENT_1":"サプライヤーデータは、そのままではストアに適しません。ノーコードのデータクレンジングツールでカテゴリを標準化し、ブランド名から法人格表記を除去し、価格のフォーマットを統一し、重複を統合できます。","TRANSFORM_CONTENT_2":"さらに、AIを活用した変換で強化できます。魅力的な商品説明を自動生成し、国際市場向けにコンテンツを翻訳し、すべての掲載がコンバージョン最適化されるようにします。","SYNC_TITLE":"あらゆるECプラットフォームやマーケットプレイスへ同期","SYNC_CONTENT_1":"データをクリーンかつ標準化できたら、販売先へ配信しましょう。Datablist は Shopify、WooCommerce、Amazon をはじめ、あらゆる行き先に向けてカタログをシームレスに準備します。","SYNC_CONTENT_2":"各同期のステータスを明確に表示し、失敗時には自動でリトライします。マルチチャネル運用全体を、信頼できる単一の情報源から管理できます。","BENEFITS_TITLE":"自動化された在庫ワークフローの強み","BENEFITS_SCALE_TITLE":"巨大なカタログを処理","BENEFITS_SCALE_BODY":"数十万点、数百万点規模の商品リストも難なく管理できます。パフォーマンスとスケールを前提に設計されたプラットフォームです。","BENEFITS_FLEXIBLE_TITLE":"柔軟で簡単に設定可能","BENEFITS_FLEXIBLE_BODY":"直感的なノーコードUIで、複雑なデータ変換ワークフローを数週間ではなく数分で構築できます。開発者は不要です。","BENEFITS_RELIABLE_TITLE":"信頼性の高い自動化","BENEFITS_RELIABLE_BODY":"ワークフローを一度設定すれば、あとは任せるだけ。明確なステータス追跡と再試行可能な同期により、必要な場所にデータが常に届くと安心してお任せいただけます。","BENEFITS_COST_TITLE":"コスト効率に優れたパワー","BENEFITS_COST_BODY":"クレジット制を活用し、使った分だけお支払い。従来型ソリューションの一部のコストで、エンタープライズレベルの自動化を実現します。","TRANSLATE_TITLE":"グローバル市場向けに商品カタログを翻訳","TRANSLATE_CONTENT_1":"Datablist の AI で商品カタログを自動翻訳し、Eコマースのリーチを海外市場へ拡大できます。単純な翻訳を超え、現地のお客様の検索行動に合うよう商品名をローカライズします。","TRANSLATE_CONTENT_2":"AI は説明や仕様内の HTML と JSON の重要な構造を保持し、Shopify や WooCommerce などへ再アップロードする際の技術的エラーを防ぎます。この強力なノーコードソリューションにより、従来ツールのごく一部のコストでグローバルにスケールできます。","TRANSLATE_CTA":"商品カタログを翻訳する方法","FILTER_TITLE":"規模を問わず、あらゆるカタログを深掘り","FILTER_CONTENT_1":"在庫の重さでクラッシュするスプレッドシートと格闘するのはやめましょう。Datablist は最大150万点の巨大な商品カタログに対応し、Airtable や Google Sheets の限界を大きく上回ります。","FILTER_CONTENT_2":"強力なフィルタリングツールで、必要な情報をすぐに見つけられます。AND/OR ロジックやフィルターグループで複数条件を組み合わせた高度なクエリが可能です。究極の精度が必要な場合は、正規表現で SKU、タイトル、説明内の特定パターンに基づいて商品を抽出できます。","FILTER_CONTENT_3":"作業の繰り返しは不要です。複雑なフィルターをカスタムの「セグメント」として保存し、後からすぐにアクセスできます。保存したフィルターは「新着」や「プロモーション商品」といった動的リストの作成に最適で、チームと自動共有され、全員が同じビューで作業できます。","SEE_ALSO":"こちらもご覧ください"},"UseCaseLeadBuilding":{"PAGE_TITLE":"グロースチームのためのリードビルディング","PAGE_DESC":"大量のリードリストを深掘りするための最高のツールです。整理・エンリッチして、理想的な見込み顧客を見つけましょう。","HERO_TITLE":"グロースチームのためのリードリスト構築","USE_CASE":"ユースケース","HERO_DESC":"大量のリードリストを深掘りするための最高のツールです。整理・エンリッチして、理想的な見込み顧客を見つけましょう。","MASTER_TITLE":"大量のリードを管理","MASTER_BODY":"Datablist は数百万件のアイテムを管理できるよう設計されています。リードのデータ構造を定義し、オープンでテックフレンドリーなプラットフォームでデータ活用を始めましょう。スプレッドシートのようなインターフェースでリードを整理することも、API で複雑なデータプラットフォームを構築することも可能です。大量のリードリストから、接点を持つべき高品質なリードを発見できます。","CRM_TITLE":"Sales CRM の上流でリードリストを構築","CRM_CONTENT_1":"CRM ツールはエンゲージした見込み顧客のトラッキングに最適です。しかし、数十万件のリードには適していません。グロースチームには上流で統合・管理するためのデータストアが必要です。","CRM_CONTENT_2":"コールドリードを CRM に保管すると、データを汚染し高額請求の原因になります。","DATABASE_TITLE":"カスタムデータベースにリードを保存するのはやめましょう","DATABASE_CONTENT_1":"カスタムデータベース、Excel、Airtable、データウェアハウスにリードを保存していませんか？いずれかを選ぶということは、何かを妥協するということです。柔軟性を取ればスケーラビリティを失い、シンプルさを取れば複雑さを強いることになります。","DATABASE_CONTENT_2":"Datablist はカスタムデータベースのパワーと Airtable の柔軟性を両立します。妥協なくコストと時間を削減できます。","NOCODE_TITLE":"使いやすくテックフレンドリーなツール","NOCODE_CONTENT_1":"スプレッドシートのようなインターフェースでリードを管理。強力なフィルタリングと検索で、数十万件のリードも数秒で探索できます。","NOCODE_CONTENT_2":"Datablist では CSV を第一級のフォーマットとして扱います。大容量の CSV をインポートし、ユニーク ID と結合してリードリストを作成。データの主権はお客様にあります。ワンクリックで CSV にエクスポートし、他ツールで活用できます。","NOCODE_CONTENT_3":"さらに進めたい場合は、オープンな API と接続したサーバーレス関数でデータフローを自動化できます。","CENTRALIZE_TITLE":"すべてのリードソースを1つのデータストアに集約","CENTRALIZE_SCRAPING_TITLE":"スクレイピングの集約先","CENTRALIZE_SCRAPING_CONTENT_1":"外部ソースからデータを抽出し、データストアに保存します。","CENTRALIZE_SCRAPING_CONTENT_2":"ソーシャルネットワーク（LinkedIn、Facebook、Xing）、ビジネスディレクトリ（Crunchbase、AngelList）、オンラインコミュニティなどからリードをスクレイピングします。","CENTRALIZE_NEWSLETTER_TITLE":"ニュースレター購読者","CENTRALIZE_NEWSLETTER_CONTENT_1":"メーリングリストの購読者をトラッキングしエンリッチして、高価値の見込み顧客を特定します。","CENTRALIZE_NEWSLETTER_CONTENT_2":"メーリングリストの Webhook を活用して利用データを取得し、エンゲージの高いリードを見つけましょう。","CENTRALIZE_SIGNUP_TITLE":"新規ユーザーをエンリッチ","CENTRALIZE_SIGNUP_CONTENT_1":"使い捨てまたはビジネス用の email アドレスを持つユーザーを検知。新規ユーザーを自動でエンリッチし、LinkedIn プロフィールを特定して、高ポテンシャルなユーザーとエンゲージします。","CENTRALIZE_SIGNUP_CONTENT_2":"プロダクトの利用データを接続して、カスタマーデータプラットフォーム（CDP）を構築します。","CENTRALIZE_MAGNET_TITLE":"リードマグネットのダウンロードを保存","CENTRALIZE_MAGNET_CONTENT_1":"ホワイトペーパーのダウンロード、ウェビナー、オフラインイベントなどで獲得した新規リードを、単一のリストに集約して保存します。","CENTRALIZE_MAGNET_CONTENT_2":"手動または統合済みのエンリッチメント API でエンリッチし、商機を検出します。","ENRICH_TITLE":"リードをクレンジングしエンリッチ","ENRICH_COMPANIES_TITLE":"企業とプロフィールをエンリッチ","ENRICH_COMPANIES_BODY":"統合されたエンリッチメントサービスで、完全なプロフィール情報を取得できます。email アドレスから LinkedIn アカウントを取得、またはリードの氏名から email アドレスを取得。あらゆるサービスで大規模にエンリッチするか、自社サービスを接続できます。","CLEAN_TITLE":"データをクレンジング","CLEAN_BODY":"Datablist の読み書き可能なデータストアで、データを常にフレッシュに保ちます。データクレンジング機能でリードを一括クレンジング。email アドレスを検証して使い捨て email プロバイダを特定し、キャンペーンから除外します。","DEDUPLICATE_TITLE":"リードの重複排除","DEDUPLICATE_BODY":"Datablist Duplicates Finder で、重複したリードをすばやく除去。1つ以上のプロパティを選んで自動的に重複排除できます。競合するデータは Datablist Merge Assistant でマージします。","MERGE_TITLE":"一意のリードプロファイルを作成","MERGE_BODY":"リードの email アドレスや企業の Web サイトを一意キーとして定義し、一意のリードプロファイルを作成します。ユニークプロパティを使って、リードデータを更新したり外部リストを統合できます。","SEE_ALSO":"関連情報","DATA_SOURCES":"データ & リードソース","DATA_SOURCES_DESCRIPTION":"強力なビルトインのリードソースで、パイプラインを加速しましょう！","AI_RESEARCH_AGENT":"AI リサーチエージェント","AI_RESEARCH_AGENT_DESCRIPTION":"シンプルな prompt 一つで、アイテムのリサーチをスケールし、Google 検索の自動化を設定できます。","ENRICHMENTS":"エンリッチメント","ENRICHMENTS_DESCRIPTION":"使いやすいエンリッチメントで強力な workflow を構築しましょう"},"IndustryRecruiting":{"PAGE_TITLE":"よりスマートな採用はここから","PAGE_DESC":"人材紹介会社のための必須ノーコードプラットフォーム。求人情報をスクレイピングし、企業データをエンリッチして、採用責任者へのダイレクトな連絡先情報を特定します。","HERO_TITLE":"よりスマートな採用はここから","INDUSTRY_LABEL":"業界","HERO_DESC":"人材紹介会社のための必須ノーコードプラットフォーム。求人情報をスクレイピングし、企業データをエンリッチして、採用責任者へのダイレクトな連絡先情報を特定します。","WHY_DATABLIST_TITLE":"探すのは終わり。成約を生み出す。","WHY_DATABLIST_BODY":"手作業のソーシングは遅く、反復的で、結果も安定しません。Datablist は新規クライアントと候補者のソーシングで最も退屈な部分を自動化し、皆さまが本来得意とする関係構築と成約に専念できるようにします。","FIND_JOBS_TITLE":"あらゆる採用機会を見逃しません","FIND_JOBS_CONTENT_1":"Leads を二度と取り逃しません。AI Scraper を使えば、LinkedIn、Indeed などの求人ボードや、ターゲット企業の採用ページのリストから求人情報を抽出できます。","FIND_JOBS_CONTENT_2":"キーワードや専門領域に合致するオープンポジションのリアルタイムデータベースを簡単に構築でき、常時、質の高いクライアント leads が流入します。","FIND_CONTACTS_TITLE":"適切な意思決定者をピンポイントで特定","FIND_CONTACTS_CONTENT_1":"求人掲載は出発点にすぎません。Datablist は企業データをエンリッチして肩書きの裏にいる人物を可視化します。ターゲット企業の部門長、チームリード、採用責任者を特定できます。","FIND_CONTACTS_CONTENT_2":"職位、部門、シニアリティでリストをセグメントし、Outreach が常に採用の決定権を持つ人物に届くようにします。","GET_DETAILS_TITLE":"ダイレクトに、すぐにつながる","GET_DETAILS_CONTENT_1":"連絡先情報探しに時間を浪費するのはやめましょう。強力なウォーターフォール型エンリッチメントで、ターゲットの連絡先について検証済みのプロフェッショナルな email アドレスと電話番号を見つけます。","GET_DETAILS_CONTENT_2":"成功率が高く、コスト効率の高いクレジットベースのモデルにより、これまでになく迅速かつ手頃に実行可能な連絡先リストを構築できます。","BENEFITS_TITLE":"貴社に圧倒的なアドバンテージを","EASY_USE_TITLE":"数分で導入","EASY_USE_BODY":"直感的なスプレッドシートのようなインターフェースですぐに始められます。強力なソーシング workflow も、技術的スキルは不要です。","FLEXIBLE_TITLE":"貴社の workflow を、貴社のやり方で","FLEXIBLE_BODY":"ターゲットのスクレイピングからエンリッチメントのシーケンスまで、あらゆるステップをカスタマイズできます。Datablist は貴社独自のソーシング戦略に合わせて適応し、ツールに戦略を合わせる必要はありません。","COST_EFFECTIVE_TITLE":"使った分だけのパワー","COST_EFFECTIVE_BODY":"クレジットベースの仕組みで、使った分だけお支払い。1人のリクルーターから大規模チームまで、あらゆる規模のエージェンシーに最適です。","ALL_IN_ONE_TITLE":"すべてを一箇所で","ALL_IN_ONE_BODY":"スクレイピングとデータクレンジングからエンリッチメント、エクスポートまで。複数のツールを使い分けることなく、クライアントと候補者のデータパイプライン全体を管理できます。","SEE_ALSO":"こちらもご覧ください","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"シンプルな prompt で、あらゆるウェブサイトから構造化データを抽出。求人ボードや企業ページなどに最適です。","ENRICHMENTS":"エンリッチメント","ENRICHMENTS_DESCRIPTION":"企業データや連絡先データ向けの使いやすいエンリッチメントで、強力な workflow を作成できます。","FAQ_Q1":"Datablist はどのように求人を見つけますか？","FAQ_A1":"当社の Job Postings Scraper は、Indeed や Glassdoor を含む主要な求人ボードを19サイト以上スキャンします。さらに、AI Agent を使って特定企業の採用ページやニッチな求人ボードを自動スクレイピングでき、クライアント機会が継続的に創出されます。","FAQ_Q2":"採用責任者の連絡先情報はどのように見つけますか？","FAQ_A2":"企業リストができたら、Waterfall People Search エンリッチメントがその組織内の適切な連絡先を見つけます。職位、シニアリティ、部門で検索し、意思決定者をピンポイントで特定できます。","FAQ_Q3":"連絡先情報は正確で検証済みですか？","FAQ_A3":"はい。Waterfall Email Finder と Phone Finder が複数のデータプロバイダーに問い合わせ、検証済みのプロフェッショナルな email アドレスとダイレクトダイヤルの電話番号を見つけます。マルチソースのアプローチにより、単一プロバイダーのツールよりも高い成功率を実現します。","FAQ_Q4":"スクレイパーを使うと LinkedIn アカウントがリスクにさらされますか？","FAQ_A4":"いいえ。ブラウザ拡張とは異なり、当社のスクレイパーはクラウドで動作し、お客様の個人の LinkedIn 認証情報は不要です。これにより、アカウントは制限や凍結から 100% 安全に保たれます。","FAQ_Q5":"料金はいくらですか？","FAQ_A5":"Datablist は柔軟な従量課金のクレジット制を採用しています。取得したデータ分のみお支払いください。例えば、$20 のクレジット追加で数千件の求人をスクレイピング可能です。大きな初期投資なしにソーシングをスケールでき、あらゆる規模のエージェンシーに最適なモデルです。","FAQ_Q6":"特定の業界や地域の求人をターゲットできますか？","FAQ_A6":"はい。求人スクレイパーには高度なフィルターがあり、キーワード、業界、企業規模、地域、シニアリティで求人をターゲティングできます。人材紹介会社を除外し、直接雇用主のみに絞ることも可能です。","FAQ_Q7":"候補者リストが乱雑です。Datablist でクレンジングできますか？","FAQ_A7":"もちろんです。Datablist には強力なデータクレンジングと重複排除ツールが含まれます。異なるソースからの重複コンタクトを簡単にマージし、職位表記の標準化や、複雑な数式なしでのデータ整形が可能です。","FAQ_Q8":"ソーシングプロセスを自動化できますか？","FAQ_A8":"はい。求人スクレイパーを日次・週次・月次でスケジュール実行できます。Datablist が条件に合致する新着求人を自動で見つけ出し、継続的に新鮮な leads を供給します。"},"IndustryVentureCapital":{"PAGE_TITLE":"モダンなVCのためのオペレーティングシステム","PAGE_DESC":"AI搭載のデータプラットフォームで、数千社のスタートアップを発掘・スクリーニング・トラッキングできます。煩雑なスプレッドシートや硬直的なCRMから脱却しましょう。Datablistでディールフローのエンジンを構築しましょう。","INDUSTRY_LABEL":"業界","HERO_TITLE":"モダンなVCのためのオペレーティングシステム","HERO_DESC":"AI搭載のデータプラットフォームで、数千社のスタートアップを発掘・スクリーニング・トラッキングできます。煩雑なスプレッドシートや硬直的なCRMから脱却しましょう。Datablistでディールフローのエンジンを構築しましょう。","WHY_DATABLIST_TITLE":"一般的なCRMはベンチャーキャピタル向けに作られていません","WHY_DATABLIST_BODY":"CRMはセールスパイプライン向けで、ディールフロー向けではありません。硬直的で高コストであり、レーダー上にある数千のアーリーステージ企業をトラッキングするには不向きです。Datablistは、ベンチャーキャピタル特有のデータ課題を管理するために設計された、柔軟でスケーラブルなデータハブです。","SOURCE_DEALS_TITLE":"一般に知られる前にディールを発掘","SOURCE_DEALS_CONTENT_1":"自社のネットワークやインバウンドのリクエストを超えて、AI Scraper を使い、ProductHunt、IndieHackers、その他のニッチなディレクトリから有望なスタートアップをソーシングできます。","SOURCE_DEALS_CONTENT_2":"有望企業を誰よりも早く特定し、メインストリーム化する前の新興トレンドを追跡することで、アドバンテージを得られます。","TRACK_COMPANIES_TITLE":"資金調達だけでなく、成長シグナルをトラッキング","TRACK_COMPANIES_CONTENT_1":"資金調達は成功の遅行指標です。本当に重要なリアルタイムの成長シグナルを追跡しましょう。当社の求人ボードスクレイパーは、どのスタートアップが重要ポジションを採用しているかを特定します。これは、プロダクトマーケットフィット（PMF）やスケーリングの明確なサインです。","TRACK_COMPANIES_CONTENT_2":"採用トレンドをモニタリングして企業の軌道を評価し、データに基づいた投資判断ができます。","SCORE_STARTUPS_TITLE":"AIでカスタムスコアリングモデルを構築","SCORE_STARTUPS_CONTENT_1":"勘に頼るだけの意思決定はやめましょう。AI Editing ツールで強力なカスタムスコアリングアルゴリズムを構築できます。チームの経験、テクノロジースタック、市場シグナル、そして御社独自の基準に基づいてスタートアップをランキングします。","SCORE_STARTUPS_CONTENT_2":"パイプラインの上位1%の機会を体系的に特定し、チームのリソースをそこに集中できます。","DILIGENCE_TITLE":"デューデリジェンスとトラッキングに必要なツールをすべて搭載","FEATURE_DATA_TITLE":"データ統合","FEATURE_DATA_BODY":"複数ソースのデータをクレンジング、重複排除、マージして、1つのマスタリストに統合します。スタートアップのデータベースを常にクリーンで信頼できる状態に保てます。","FEATURE_ENRICH_TITLE":"企業エンリッチメント","FEATURE_ENRICH_BODY":"企業属性（ファーモグラフィック）、テクノロジースタック、Webサイトデータなどで企業プロフィールを自動エンリッチし、360度の視点を得られます。","FEATURE_CONTACTS_TITLE":"ファウンダーへのアウトリーチ","FEATURE_CONTACTS_BODY":"Waterfall Enrichment により、ファウンダーや主要幹部の検証済みのemailアドレスと電話番号を特定します。初回コンタクトを価値あるものにします。","FEATURE_API_TITLE":"APIとインテグレーション","FEATURE_API_BODY":"Datablistを社内ツールと接続し、柔軟で開発者フレンドリーなAPIでデータのworkflow全体を自動化できます。","SEE_ALSO":"こちらもご覧ください","VIDEO_TITLE":"AI Agentの動作をご覧ください","VIDEO_TEXT":"AI AgentがスタートアップのWebサイト一覧を巡回し、構造化された連絡先情報を抽出する様子をご覧いただけます。これは、従来型のスクレイパーでは不可能だったタスクです。","FAQ_Q1":"Datablistは従来のCRMとどう違いますか？","FAQ_A1":"CRMは直線的なセールスプロセス向けに設計されており、何千件もの潜在ディールをトラッキングするとすぐに情報が散らかりがちです。Datablistは、ベンチャーキャピタルのディールフローの規模と複雑性に対応する柔軟なデータハブとして設計されており、セールスパイプラインの硬直性に縛られずに膨大なスタートアップデータを管理できます。","FAQ_Q2":"Datablistは新しいスタートアップのソーシングに役立ちますか？","FAQ_A2":"はい。AI Agentを使って、ProductHunt や IndieHackers などのスタートアップディレクトリをスクレイプし、皆のレーダーに載る前に有望企業を見つけることができます。これにより、ハイポテンシャルなディールを早期に発見できます。","FAQ_Q3":"どのような成長シグナルをトラッキングできますか？","FAQ_A3":"資金調達アナウンスだけに頼るのではなく、リアルタイムの成長指標をトラッキングできます。求人ボードスクレイパーにより、重要ポジションを積極採用しているスタートアップを特定します。これは成長やプロダクトマーケットフィットの強いシグナルです。","FAQ_Q4":"AIによるスコアリングモデルはどのように機能しますか？","FAQ_A4":"当社のAIツールでカスタムのスコアリングモデルを構築できます。たとえば、チームの経験、テクノロジースタック、市場トレンドなど、御社の投資仮説にとって重要な基準を定義すると、AIがパイプライン内の各スタートアップをランク付けするスクリプトを生成し、上位の機会に集中できるよう支援します。","FAQ_Q5":"当社のデータは雑多で複数のスプレッドシートに分散しています。どのように支援できますか？","FAQ_A5":"Datablistはデータ統合を得意としています。複数のソースからデータをインポートし、クレンジング、重複排除、マージを行って、信頼できる単一のスタートアップ・マスタリストにまとめられます。","FAQ_Q6":"Datablistは何千もの企業をどのように処理しますか？動作は遅くなりませんか？","FAQ_A6":"Datablistは大規模なデータセットの管理を前提に設計されており、1リストあたり最大150万レコードに対応します。スプレッドシートやAirtableの制限を大きく上回り、フィルター、ソート、管理を高速に行えます。","FAQ_Q7":"ファウンダーの連絡先情報の特定を支援できますか？","FAQ_A7":"はい。有望なスタートアップを特定した後は、Waterfall Enrichment でファウンダーや主要メンバーの検証済みのemailアドレスや電話番号を見つけられ、初回アウトリーチの効果を高められます。","FAQ_Q8":"Datablistの利用に開発者は必要ですか？","FAQ_A8":"いいえ。Datablistはノーコードのプラットフォームで、スプレッドシートのような使いやすいインターフェースです。ソーシングからスコアリングまで、コードを書くことなく複雑なデータworkflowを構築できます。"},"IndustryRetailAndECommerce":{"PAGE_TITLE":"小売・EC業務を効率化","PAGE_DESC":"商品カタログ、サプライヤーのフィード、顧客データを簡単に管理できます。Datablist は小売・ECビジネス向けの柔軟なノーコード・プラットフォームです。","HERO_TITLE":"小売・EC業務を効率化","INDUSTRY":"業界","HERO_DESC":"商品カタログ、サプライヤーのフィード、顧客データを簡単に管理できます。Datablist は小売・ECビジネス向けの柔軟なノーコード・プラットフォームです。","MASTER_TITLE":"貴社のECデータ統合ハブ","MASTER_BODY":"複数のスプレッドシートや複雑なデータベースを行き来するのは終わりにしましょう。Datablist は、すべてのECデータを一元管理できる使いやすい単一のプラットフォームを提供します。柔軟なノーコードのインターフェースとクレジットベースの料金体系により、あらゆる規模の企業にとって費用対効果の高いソリューションです。","PRODUCT_CATALOG_TITLE":"商品カタログを統合・クレンジング","PRODUCT_CATALOG_CONTENT_1":"あらゆるソースから商品データをインポートし、単一でクリーンなカタログに統合できます。強力なデータクレンジング機能で、単位や価格の標準化、説明文のHTMLタグ除去まで対応します。","PRODUCT_CATALOG_CONTENT_2":"Datablist なら数千点の商品も簡単に管理でき、常に正確で最新のデータを維持できます。","SUPPLIER_FEEDS_TITLE":"サプライヤーフィードを自動化","SUPPLIER_FEEDS_CONTENT_1":"サプライヤーの価格・在庫フィードを自動取得し、在庫を常に同期させます。Datablist は外部APIに接続でき、サプライヤーのシステムとの統合も容易です。","SUPPLIER_FEEDS_CONTENT_2":"この重要な業務を自動化することで、時間を節約し、エラーを削減します。","FEATURES_TITLE":"成功に必要なすべてを搭載","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"商品カタログを統合","CONSOLIDATE_PRODUCT_CATALOG_BODY":"複数のサプライヤーやソースのデータを単一のマスターカタログに統合します。","CLEAN_DATA_TITLE":"データをクレンジング","CLEAN_DATA_BODY":"単位、価格、HTMLを含む商品情報を標準化・クレンジングし、一貫性のあるプロフェッショナルな見栄えに整えます。","TRANSLATE_PRODUCT_TITLE":"商品情報を翻訳","TRANSLATE_PRODUCT_BODY":"商品名や説明文を簡単に翻訳し、グローバルな顧客にリーチします。","GENERATE_PRODUCT_TEXT_TITLE":"AIで商品テキストを生成","GENERATE_PRODUCT_TEXT_BODY":"AIを活用して魅力的な商品説明などのテキストを自動生成し、時間と手間を削減します。","SYNC_TO_EXTERNAL_APIS_TITLE":"外部APIと同期","SYNC_TO_EXTERNAL_APIS_BODY":"外部APIとのデータ同期により、他のツールやシステムと連携します。","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"サプライヤーフィードを取得","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"サプライヤーから最新の価格・在庫フィードを取得し、商品情報を自動更新します。","AGGREGATE_ORDER_FEEDS_TITLE":"注文フィードを集約","AGGREGATE_ORDER_FEEDS_BODY":"すべてのチャネルの注文フィードを集約して、売上の全体像を把握できます。","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"顧客・オーディエンスリストを管理","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"顧客・オーディエンスのリストをクリーンに整理し、より効果的なマーケティング施策を実現します。","FAQ_Q1":"商品データが複数のサプライヤーから異なるフォーマットで届き、ぐちゃぐちゃです。Datablist はどのように役立ちますか？","FAQ_A1":"Datablist はまさにその課題を解決するために設計されています。複数のCSVやExcelファイルから商品データを取り込み、単一のマスターカタログに統合できます。Duplicates Finder により重複商品のマージを支援し、在庫数などの数値を自動で合算することも可能です。","FAQ_Q2":"HTML や JSON のフォーマットを崩さずに、商品説明を翻訳できますか？","FAQ_A2":"はい。ChatGPT などのモデルを用いたAI翻訳は、複雑なコンテンツにも対応します。HTMLタグやJSON構造を保持したままテキスト部分のみを翻訳するよう、カスタム指示を設定できます。ECカタログに最適です。","FAQ_Q3":"商品カタログが大きすぎてスプレッドシートが落ちます。Datablist はどれくらいの件数まで扱えますか？","FAQ_A3":"スプレッドシートは大規模データが苦手ですが、Datablist はスケールを前提に設計されています。1コレクションあたり最大150万件までのカタログを容易に管理でき、Airtable や Google Sheets を大きく上回ります。","FAQ_Q4":"Shopify や WooCommerce などのプラットフォームからカタログを取り込む方法を教えてください。","FAQ_A4":"Shopify や WooCommerce などのECプラットフォームは、商品カタログをCSVとしてエクスポートできます。そのCSVを Datablist にそのままインポートし、クレンジング、データエンリッチメント、翻訳を開始できます。","FAQ_Q5":"サプライヤーからの価格や在庫の更新取得を自動化できますか？","FAQ_A5":"はい。サプライヤーがAPIでデータを提供している場合、当社の 'Import from a remote CSV or JSON file' データソースを利用して、自動的に取得・更新できます。手作業なしで在庫や価格の同期を維持できます。","FAQ_Q6":"複数のクライアントのカタログを管理するECエージェンシーにとって、Datablist は有用なツールですか？","FAQ_A6":"もちろんです。クライアントごとに個別のコレクションを作成し、フォルダーで整理して簡単に管理できます。すべてのデータクレンジングと管理業務の中核となる効率的なハブとしてご利用いただけます。","FAQ_Q7":"価格や説明文内のHTMLなど、ばらつきのある商品データをどのようにクレンジングできますか？","FAQ_A7":"Datablist には商品カタログに最適なデータクレンジング機能が多数あります。HTMLタグ付きのテキストをプレーンテキストに変換したり、区切り記号の異なる数値を正規化したり、余分なスペースを削除したり、文字の大小を統一したりして、データの一貫性を確保できます。","FAQ_Q8":"AIはユニークな商品説明の作成に役立ちますか？","FAQ_A8":"はい。商品特性から魅力的な商品説明を生成する 'Ask ChatGPT' エンリッチメントをご利用いただけます。時間を節約し、スケールでユニークなコンテンツを作成するのに役立ちます。"},"IndustrySaaSAI":{"PAGE_TITLE":"SaaS＆AIスタートアップのための GTM コパイロット","PAGE_DESC":"煩雑なスプレッドシートや高価なツールをあれこれとやりくりするのは終わりにしましょう。Datablist は、リードのソーシング、クレンジング、エンリッチをオールインワンで提供し、商談のクロージングに集中できるようにします。","HERO_TITLE":"SaaS＆AIスタートアップのための GTM コパイロット","INDUSTRY_LABEL":"業界","HERO_DESC":"煩雑なスプレッドシートや高価なツールをあれこれとやりくりするのは終わりにしましょう。Datablist は、リードのソーシング、クレンジング、エンリッチをオールインワンで提供し、商談のクロージングに集中できるようにします。","MASTER_TITLE":"セールスエンジンを、より速く構築","MASTER_BODY":"スタートアップにとって、スピードがすべてです。質の高いリードを継続的に確保する必要がありますが、セールスパイプラインの構築には時間がかかります。Datablist は、見込み顧客の発掘からアウトリーチのパーソナライズまで、すべてを使いやすいノーコードのプラットフォームで効率化します。","PROBLEM_TITLE":"課題はプロダクトではなく、リード獲得です","PROBLEM_CONTENT_1":"データをWebスクレイピングし、リストを購入し、CRMからエクスポートしても、結果はぐちゃぐちゃになりがちです。スプレッドシートはクラッシュし、データはすぐ古くなり、チームは販売ではなく手作業の入力に何時間も浪費してしまいます。","PROBLEM_CONTENT_2":"カスタムデータベースはリソースを消耗し、ツールごとの複数サブスクリプションはあっという間に高コストになります。こうした非効率がディールを取り逃がす原因です。","SOLUTION_TITLE":"構築・クレンジング・エンリッチを一つのプラットフォームで","SOLUTION_CONTENT_1":"Datablist は、データベースの強さとスプレッドシートの手軽さを兼ね備えています。スピード重視のスタートアップのGTMチーム向けに設計された、柔軟なノーコードツールです。","SOLUTION_CONTENT_2":"あらゆるリードソースを一元化し、煩雑なデータをクレンジングし、最新情報で連絡先をエンリッチし、コードを書かずにワークフローを自動化できます。スケールに必要な柔軟でコスト効率の高いソリューションです。","FEATURES_TITLE":"成長を加速するために必要なすべてを","GRID_SOURCE_TITLE":"高インテントのリードをソーシング","GRID_SOURCE_BODY":"静的なデータベースを超えて。Job Board Scraper を使って、いままさに採用している企業を特定できます—予算があり、解決すべき課題を抱えている明確なシグナルです。毎日フレッシュなリードを入手できます。","GRID_SCRAPE_TITLE":"AI駆動のスクレイピング","GRID_SCRAPE_BODY":"競合が買えないユニークなリードリストを構築しましょう。AI Agent があらゆるWebサイトをスクレイピングし、ニッチなデータ、顧客事例、企業が利用している特定のテクノロジーまで見つけ出します。","GRID_PERSONALIZE_TITLE":"アウトリーチを大規模にパーソナライズ","GRID_PERSONALIZE_BODY":"画一的なメールはもうやめましょう。AI Agent を使って各見込み顧客のためのユニークなインサイトを収集します。十分にリサーチしていることが伝わるトーキングポイントを見つけ、返信率を高めましょう。","GRID_DEDUPE_TITLE":"重複排除とマージ","GRID_DEDUPE_BODY":"強力な Duplicates Finder でリードや顧客リストをクリーンアップ。複数ソースにまたがる重複レコードを、重要なデータを失うことなくマージし、信頼できる唯一の情報源を実現します。","GRID_CLEAN_TITLE":"CRM をクレンジング＆エンリッチ","GRID_CLEAN_BODY":"CRMデータを正確かつ最新に保ちます。メールをバリデーションし、会社名を標準化し、LinkedIn などのプロバイダーからの最新データでレコードをエンリッチして、キャンペーンの成果を高めます。","GRID_AUTOMATE_TITLE":"ワークフローを自動化","GRID_AUTOMATE_BODY":"定期タスクを設定して、常に新しくエンリッチされたリードを供給します。スクレイパーやエンリッチを日次・週次でスケジュールし、セールスチームのパイプラインを常に満たしておけます。","WORKFLOW_TITLE":"高品質なリードのための実証済みワークフロー","WORKFLOW_STEP1_TITLE":"1. 購買インテントのある企業をソーシング","WORKFLOW_STEP1_CONTENT_1":"まず、明確なニーズを持つ企業を見つけます。Job Postings Scraper を使い、貴社のプロダクトやサービスが支援できる職種の採用を積極的に行っている企業を特定します。","WORKFLOW_STEP1_CONTENT_2":"これは、予算があり、解決すべき喫緊の課題を抱えていることを示す最も強いシグナルのひとつです。","WORKFLOW_STEP2_TITLE":"2. 決裁者と連絡先情報を特定","WORKFLOW_STEP2_CONTENT_1":"ターゲットアカウントが定まったら、Waterfall People Search を使って、営業責任者やマーケティングディレクターなど、その企業内の適切なコンタクトを特定します。","WORKFLOW_STEP2_CONTENT_2":"続いて、Email Finder と Phone Finder を使って、検証済みの連絡先情報を取得します。","WORKFLOW_STEP3_TITLE":"3. パーソナライズのための情報を収集","WORKFLOW_STEP3_CONTENT_1":"ここで不公平なほどのアドバンテージを得られます。AI Agent を使って各見込み顧客をリサーチします。直近のブログ投稿や導入事例、さらには利用しているSaaSツールまで調べるよう指示してください。","WORKFLOW_STEP3_CONTENT_2":"目立ち、返信を獲得できるアウトリーチメッセージを作るためのユニークなインサイトが得られます。","WORKFLOW_STEP4_TITLE":"4. リストをクリーンアップして最終化","WORKFLOW_STEP4_CONTENT_1":"アウトリーチを始める前に、最終リストを Duplicates Finder に通してください。重複するコンタクトや企業をマージし、クリーンで整理されたリストを保証します。","WORKFLOW_STEP4_CONTENT_2":"これで、セールスのCRMやメールシーケンサーへ同期する準備が整いました。","SEE_ALSO":"こちらもご覧ください","FAQ_Q1":"ZoomInfo や Apollo のような一般的なB2Bデータベースと比べて、Datablist は何が違いますか？","FAQ_A1":"一般的なB2Bデータベースが静的で事前収集されたデータを提供するのに対し、Datablist はライブソースからフレッシュで自社専有のリードリストを構築できる点が異なります。Job Scraper を使って、採用意欲の高い企業（強い購買シグナル）を見つけられます。さらに AI Agent がカスタムなWebスクレイピングを実行し、どのデータベースにもないニッチデータを収集できるため、独自の競争優位性を得られます。","FAQ_Q2":"当社のスタートアップは高品質なリードを早急に必要としています。Datablist はどのように支援しますか？","FAQ_A2":"Datablist はスピード重視で設計されています。まず、19以上の求人ボードから集約する Job Postings Scraper で、直ちにニーズのある企業をソーシングします。次に、Waterfall エンリッチメントツールで決裁者と検証済みの連絡先情報をすばやく特定します。アカウントのソーシングからアウトリーチ可能なリストの作成まで、ワークフロー全体を数分で完了できます。","FAQ_Q3":"Datablist の利用に、開発者や技術スキルは必要ですか？","FAQ_A3":"いいえ。Datablist はノーコードプラットフォームです。スプレッドシートのような使いやすいインターフェースに、強力なAIと自動化ツールを組み合わせています。Webスクレイピング、データクレンジング、エンリッチのような高度な処理も、自然言語のプロンプトとポイント＆クリックで実行できます。開発者ではなくGTMチームのために作られています。","FAQ_Q4":"メールのパーソナライズで、Datablist はセールスチームをどのように支援しますか？","FAQ_A4":"汎用的なアウトリーチは効果がありません。Datablist の AI Agent は、セールスチームのリサーチアシスタントとして機能します。各見込み顧客のWebサイトを訪れて、最近の導入事例、使用している特定のテクノロジー、会社のニュースなど、ユニークなトーキングポイントを見つけるよう指示できます。これにより、大規模に高度なパーソナライズを行い、返信率を大幅に向上できます。","FAQ_Q5":"複数ソース由来の雑多なリードリストがあります。Datablist はどのようにクレンジングと重複排除を行いますか？","FAQ_A5":"Datablist はデータ品質の維持に優れています。Duplicates Finder はファジーマッチングを含む高度なアルゴリズムで、名前や詳細がわずかに異なる場合でも、複数ファイル間の類似レコードを特定します。重複を自動マージし、（複数の電話番号などの）矛盾する情報を失わずに統合し、フィールドを標準化して、単一でクリーンな信頼できる情報源を作れます。","FAQ_Q6":"リード獲得を自動化して、継続的に見込み顧客を確保できますか？","FAQ_A6":"はい。Datablist は自動化を前提に設計されています。Job Postings Scraper などのデータソースを日次・週次でスケジュール実行できます。常に高インテント企業のフレッシュなリストを供給し、最小限の手作業で一貫性と予測可能性の高いセールスパイプラインを構築できます。","FAQ_Q7":"スタートアップにとって、価格体系は費用対効果に優れていますか？","FAQ_A7":"はい。Datablist はエンリッチにクレジット制を採用しており、使った分だけお支払いいただけます。これは予算管理が重要なスタートアップに最適です。Free Email Validator など多くの機能は無制限でご利用いただけ、スクレイピング・クレンジング・エンリッチのために複数の別ツールへ加入するより、はるかに手頃な料金設計です。","FAQ_Q8":"既存のCRMやセールスツールとどのように連携しますか？","FAQ_A8":"Datablist は既存のワークフローにフィットするよう設計されています。Pipedrive とはダイレクト連携でシームレスにデータ同期できます。HubSpot や Salesforce などその他のCRMには、クレンジング・エンリッチ済みのリストを CSV または Excel ファイルで簡単にエクスポートしてインポート可能です。さらに、Zapier を使って数千のアプリと接続できます。"},"Alternatives":{"HERO_DESC":"Datablistはリード管理ツールであり、{toolName}の優れた代替となります。Datablistは、リード獲得のカスタムワークフローを構築するのに最適なツールです。Datablistと{toolName}を比較し、お客様に最も適したツールをご確認ください。","WHAT_IS_TITLE":"{toolName} とは？","WHAT_IS_DESC":"{toolName}は、セールスチームがアウトリーチキャンペーンを実行するのを支援するSaaSツールです。複数のデータエンリッチメントサービスを統合し、AIでパーソナライズされたアウトリーチメッセージの作成を自動化します。さらに、{toolName}はCRMやアウトリーチツールと連携してキャンペーンの送信まで行います。","COMPARISON_TITLE":"Datablistがより優れている点","COMPARISON_CONTENT_1":"Datablistと{toolName}は、リードリストを管理するための2つのツールです。","COMPARISON_CONTENT_2":"Datablistはデータクレンジング、リードの重複排除、そしてREST APIによるカスタムワークフローに注力しています。Datablistは高速で、数十万件のリードも難なく管理できます。","COMPARISON_CONTENT_3":"Clayはリードソーシングとウォーターフォール型エンリッチメントに注力しています。","COMPARISON_CONTENT_4":"高度な重複排除と強力なデータクレンジングでデータ品質を担保し、リードを一元管理するデータベースを構築したい場合は、Datablistが最適です。","BENEFITS_TITLE":"なぜ多くのチームが{toolName}からDatablistに乗り換えるのですか？","COST_EFFECTIVE_TITLE":"Datablistは{toolName}のより低コストな代替です","COST_EFFECTIVE_DESC":"Clayには制限付きのフリープランがあります。Clayのスタータープランは月額$149からで、クレジットは2,000のみです。Datablistは月額サブスクリプションもクレジットパッケージもより手頃です。リードのWebスクレイピング、クレンジング、エンリッチメントでツールを使えば使うほど、Datablistならコストを抑えられます。","CLEANING_TITLE":"高度なクレンジングと重複排除ツール","CLEANING_DESC":"Datablistは高度なデータクレンジング機能を提供します。データ型の変換から正規化まで、大規模なデータクレンジングではスプレッドシートツールを凌駕します。リードの重複排除はDatablistのネイティブ機能です。ファジーマッチングや高度な重複統合により、同じリードを重複してエンリッチメントしてしまうことを防ぎます。","API_TITLE":"APIで拡張可能","API_DESC":"DatablistのデータストアはAPIで完全にアクセス可能です。RESTful APIを使ってコレクション、プロパティ、アイテムを作成できます。Make.comやZapierをご利用ですか？APIでDatablistと接続し、強力なアウトリーチのワークフローを構築してください。","SCALE_TITLE":"より大規模なリストにも対応","SCALE_DESC":"Datablistは、クラウド同期では最大10万件、データ操作・変換・クレンジングでは最大200万件まで対応します。パフォーマンスの問題なく、リード管理をスケールできます。","SUPERIOR_TITLE":"Datablist: リード獲得における優れた代替ソリューション","SUPERIOR_INTRO":"Datablistは、Clayのような他のリード獲得ツールでユーザーが直面する課題を理解しています。だからこそ、当社のプラットフォームは、使いやすく、高速で、既存のワークフローに容易に統合できる柔軟性を備えるよう設計しています。直感的なインターフェースにより、学習コストを最小限に抑えたスムーズなセットアップを実現し、手間なく迅速にリード獲得を開始いただけます。","ACCURATE_DATA_TITLE":"正確で信頼できるデータ","ACCURATE_DATA_DESC":"当社はデータ精度を最優先とし、最新かつ正確な連絡先情報をお届けします。これにより、アウトリーチキャンペーンの効果が高まり、コンバージョン率の向上につながります。他プラットフォームで生じがちな不整合や古いデータの問題とは無縁になります。","AFFORDABLE_PRICING_TITLE":"手頃な価格","AFFORDABLE_PRICING_DESC":"Datablistは、あらゆる規模のビジネスに適した競争力があり透明性の高い料金を提供します。予期せぬ費用が膨らむことなく、最高の価値を得られるコスト効率の高いモデルです。他のツールのように、気づかないうちにコストが積み上がる心配はありません。","RESPONSIVE_SUPPORT_TITLE":"迅速なカスタマーサポート","RESPONSIVE_SUPPORT_DESC":"専任のサポートチームが常に迅速にご支援し、発生した課題をスピーディかつ的確に解決いたします。高速な応答と専門的なサポートに自信があるため、最も重要なビジネスの成長に集中していただけます。","SUPERIOR_CONCLUSION":"シームレスで信頼性が高く、手頃なリード獲得体験にはDatablistをお選びください。","SEE_ALSO":"関連情報","ENRICHMENTS":"データエンリッチメント","ENRICHMENTS_DESC":"企業情報や連絡先などでリードデータを強化する、当社のデータエンリッチメントサービスをご覧ください。","DATA_SOURCES":"データソース","DATA_SOURCES_DESC":"各種プラットフォームやWebサイトからのインポートやWebスクレイピングに利用できるデータソースをご確認ください。","API_DOCS":"APIドキュメント","API_DOCS_DESC":"包括的なREST APIを用いて、既存のワークフローとDatablistを統合する方法をご確認ください。","LEAD_BUILDING":"リードリスト構築","LEAD_BUILDING_DESC":"包括的なガイドとツールで、高品質なリードリストの構築をマスターしましょう。"},"AIPrompts":{"metadata":{"title":"AIプロンプト","description":"当社のAIプロンプトを活用して、リード獲得、エンリッチメント、データクレンジングを強化しましょう。これらのプロンプトは、高品質なリードの発見とデータの正確性の維持に役立ちます。AIで見込み顧客を特定し、リード情報を更新できます。AI搭載ツールでリード管理を最適化し、スケールを目指す企業様に最適です。"},"breadcrumb":{"home":"ホーム","aiPrompts":"AIプロンプト"},"header":{"category":"事業成長のためのAIツール","title":"リード獲得・エンリッチメント・データクレンジング向けトップAIプロンプト","description":"リード発掘、エンリッチメント、データクレンジングを自動化します。これらのAIプロンプトでGTMワークフローをスケールできます。"},"enrichment":{"title":"AIエージェントプロンプト（エンリッチメント）","description":"既存のアイテムをエンリッチするためのプロンプトです。現行のレコードに対してAIプロンプトを実行し、欠落している詳細の補完、リサーチ、各行の情報分析を行えます。"},"dataSource":{"title":"ソース用AIエージェントプロンプト（データソース）","description":"新規アイテムを生成するプロンプトです。Webサイトをスクレイプして構造化情報を取得したり、特定の条件に合致する連絡先を見つけたり、AIでターゲットリストをゼロから作成できます。URL、指示、または別コレクションからの入力を起点に、新しいデータを生成します。"},"cta":"プロンプトを見る","detail":{"metadataTitle":"ChatGPTプロンプト：{title} 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1件につき<accent>25クレジット</accent> • 成功時のみ課金（見つからなければ0クレジット）"},{"name":"LinkedInプロフィールスクレイパー","description":"プロフィール1件につき<accent>25クレジット</accent> • 経歴、職歴、連絡先データをスクレイピング"},{"name":"求人サイトスクレイピング","description":"求人1件につき<accent>10クレジット</accent> • 職種、企業、給与、勤務地を抽出"}]},"topup":{"title":"1回限りのトップアップ容量を選択","description":"固定パックのみで、数量のカスタマイズはありません。価格は常に表示どおりです。","question":"必要なクレジット数をお選びください","credits":"クレジット","summary":"概要","oneTime":"1回限り","rate":"1,000クレジットあたり{rate}","delivered":"{label}（{amount}）","offRate":"基本料金から{discount}%オフ","baseRate":"基本料金（1kあたり{rate}）","labels":["付与クレジット","適用ティア","有効期限","請求通貨"],"never":"無期限","cta":"今すぐ購入 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私は好奇心旺盛な起業家でございます。

人とテック、そして競争が好きで、時には自分のためにならないほど熱中してしまうこともございます。

ニューヨークには行けなかったため、毎週金曜の午後はフランクフルトのどこかで見知らぬ方々とお話ししております。

現在は Datablist にてグロース関連の業務全般を担当しております。

","FLORIAN_DESCRIPTION":"

Datablist の創業者兼 CEO でございます。

根っからのエンジニアで、ものづくりや課題解決、そして毎日学ぶことを楽しんでおります。

フランスを拠点にしております。

"},"Automations":{"TITLE":"オートメーションで、より短時間により多くの業務を完了できます","FREQUENCIES_TITLE":"定期プロジェクトのカスタム頻度設定","FREQUENCIES_DESC":"特定の時間ベースのトリガーで、インポートやエンリッチメントなどをスケジューリングし、反復作業をなくせます。","CONNECT_TITLE":"Zapier、Make、n8n と連携","CONNECT_DESC":"Zapier、Make、n8n と連携し、数千の他のアプリとつないでワークフローを強化できます。","STATUS_TITLE":"ステータス列","STATUS_DESC":"履歴を遡ってミスをすばやく検知し、プロンプトを反復改善し、必要に応じてエンリッチメントを再設定できます。","CONDITIONAL_TITLE":"条件付きオートメーション","CONDITIONAL_DESC":"if/and/or フィルターを用いて、データの変更、ステータス更新、またはカスタムルールに基づき特定のアクションをトリガーするスマートなワークフローオートメーションを作成できます。"},"common":{"OPEN_DATABLIST_NOW":"今すぐDatablistを開く","OPEN_DATABLIST":"Datablistを開く","TRY_DATABLIST":"Datablistを試す","BOOK_DEMO":"デモを予約する","NOSIGNUP":"サインアップ不要","RELATED_GUIDES":"関連ガイド","FAQ":"よくあるご質問","DEV_DOC":"開発者向けドキュメント","HOVER_VIDEO_PLAY":"動画にカーソルを合わせると再生されます","CLICK_VIDEO_PLAY":"動画をクリックすると再生されます"},"ContentCommon":{"RELATED_HOW_TOS":"関連ガイド"},"DedupeClean":{"TITLE":"重複排除、データクレンジングと管理","DEDUPLICATION_TEXT":"AI 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がご支援します。","SOMETHING_ELSE_TITLE":"その他","SOMETHING_ELSE_DESC1":"ワークフローの自動化に関しては、私たちよりもお客様のほうが創造的であることが多いです。","SOMETHING_ELSE_DESC2":"では、何を自動化されますか？"},"Testimonials":{"TITLE":"お客様の声","SUBTITLE":"18,000人以上にご支持いただいています。お客様の声の一部をご紹介します。"},"HowTo":{"PAGE_TITLE":"データクレンジング、データエンリッチメント、リードジェネレーションに関するチュートリアル","PAGE_DESC":"網羅的なチュートリアルとガイドで、データのワークフローを自動化する方法を学べます。","TITLE":"ガイド＆チュートリアル","SUBTITLE":"当社のガイドでビジネスを成長させる方法を学べます。","FILTER_BY_CATEGORIES":"カテゴリーで絞り込む","ALL_CATEGORIES":"すべてのカテゴリー","RELATED_GUIDES":"関連ガイド","TABLE_OF_CONTENT":"目次","GUIDES_COUNT":"ガイド","LANDING_POPULAR":"人気","LANDING_LATEST_ARTICLES":"最新記事","CATEGORY_MORE_ARTICLES":"「{categoryName}」の関連記事をもっと見る","LANDING_SEE_ALL":"すべて見る","LANDING_SEE_ALL_ARTICLES_TITLE":"すべてのハウツー記事を見る","LANDING_SEE_ALL_ARTICLES_DESCRIPTION":"ガイド、チュートリアル、workflow をひとつの場所でまとめて見つけられるよう、全アーカイブをご覧いただけます。","LANDING_BROWSE_ALL_GUIDES":"すべてのハウツーガイドを見る","CATEGORY_BROWSE_ALL_GUIDES":"{categoryName}のガイドをすべて見る","TUTORIALS_BREADCRUMB":"チュートリアル","GUIDES_BREADCRUMB":"ガイド","HOME_BREADCRUMB":"ホーム","MIN_READ":"{minutes}分で読了","AUTHORS_CATEGORY":"執筆者","AUTHOR_GUIDES_DESCRIPTION":"{authorName} が執筆したハウツーガイドおよびチュートリアルをすべてご覧ください。","CATEGORY_TITLES":{"DATA_CLEANING":"データクレンジング","CRM_HYGIENE":"CRMデータハイジーン","AI_AUTOMATION":"AI ＆オートメーション","NO_CODE_SCRAPING":"ノーコード・スクレイピング","DATA_ENRICHMENT":"データエンリッチメント","SALES_MARKETING":"セールス＆マーケティング","API":"API"},"CATEGORY_DESCRIPTIONS":{"API":"Build with Datablist APIs using step-by-step guides and complete code examples. 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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. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Choose the layout","body":"Print in portrait or landscape, and add extra CSS to hide banners or adjust the page before it is printed. Both settings are optional, so you can run it with the defaults."},{"label":"Step 3","title":"Download your PDFs","body":"Each row gets a link to its PDF file in a new column. The link stays valid for 7 days by default, or 30 days if you choose. Each file is saved in the cloud, so you do not need to print pages yourself."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Company Summary","description":"Visit a website and generate a summary of what the company does using the metadata (title, description) and the content.","imageAlt":"Write Company Summary"},{"title":"Company Data From Website","description":"Visit a website, search for the About Page, and extract information about the company.","imageAlt":"Company Data From Website"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Website to PDF Tool with complementary data tools in Datablist.","cards":[{"title":"Bulk Scraper","description":"Scrape pages with CSS selectors and regular expressions.","imageAlt":"Bulk Scraper"},{"title":"Fetch Meta Data from URLs","description":"Pull page titles and meta tags from a list of URLs.","imageAlt":"Fetch Meta Data from URLs"},{"title":"Website Status Checker","description":"Find dead, redirected and parked websites.","imageAlt":"Website Status Checker"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about layout, links, cost and large lists.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Website to PDF Tool","description":"Run Datablist's Website to PDF Tool on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Orientation","Text","Generate PDF file in Portrait or Landscape. Default is Portrait."],["Extra CSS","LongText","Add extra CSS styles to the page before generating the PDF."],["Download Link Validity","Text","Datablist gives a download link for each PDF file. The link stays valid for a few days. The default is 7 days."]]},{"title":"Inputs","rows":[["Source URL","Url","URL to generate a PDF from"]]},{"title":"Outputs","rows":[["Result","Url","A link to download the PDF file. The link expires based on the Download Link Validity setting."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"}]}},"corner":{"title":"Try it for Free","body":"Turn a list of URLs into PDF files in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Website to PDF Tool"},"EnrichmentBulkScraper":{"metadata":{"title":"Bulk Scraper - Scrape URLs With CSS Selectors and Regular Expressions | Datablist","description":"Scrape a list of URLs from a CSV or Excel file with CSS selectors, regular expressions or JSONPath, in bulk. 0.10 credits per page, proxy option for protected pages."},"tabs":["Overview","How to use"],"hero":{"title":"Bulk Scraper","description":"Scrape the exact text you need from every URL in your list with CSS selectors or regular expressions. 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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. 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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. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]}},"corner":{"title":"Try it for Free","body":"Extract people, companies and places from text in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Entity Name Extraction"},"EnrichmentLanguageDetection":{"metadata":{"title":"Language Detection Tool - Detect the Language of Excel or CSV Rows in Bulk | Datablist","description":"Detect the language of each row in a CSV or Excel file: language name, ISO 639 code and confidence. 0.05 credits per text, no LLM needed."},"tabs":["Overview","How to use"],"hero":{"title":"Language Detection Tool","description":"Find the language of every text in your spreadsheet, with its ISO code and a confidence level. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"},{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]}},"corner":{"title":"Try it for Free","body":"Detect the language of every row in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Language Detection Tool"},"EnrichmentChatGPTTranslation":{"metadata":{"title":"ChatGPT Powered Translation Tool - Translate a CSV or Excel Column in Bulk | Datablist","description":"Translate a column of text in a CSV or Excel file with ChatGPT, in bulk. Choose the GPT model and add your own instructions. From 1 credit per 1,000 characters."},"tabs":["Overview","How to use"],"hero":{"title":"ChatGPT Powered Translation Tool","description":"Translate a spreadsheet column with ChatGPT, with your own instructions and the model of your choice. From 1 credit per 1,000 characters with GPT-4o mini.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["1 Credit per 1,000 Characters","Choose Your GPT Model","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"ChatGPT Powered Translation Tool translates one column of your spreadsheet into the language you choose and writes the result to a new column. 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. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Choose language and model","body":"Pick the target language and, if you need it, a GPT model and extra instructions, such as a tone, a glossary or keeping HTML tags untouched. GPT-4o mini is the default model."},{"label":"Step 3","title":"Get the translation in a new column","body":"Each translation is written to a new column and your original text stays as it is. The enrichment runs in the background, so large files keep going while you work. Rows that fail keep their status, so you can run them again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Correct Text Grammar","description":"Correct grammatical errors in a given text.","imageAlt":"Correct Text Grammar"},{"title":"Correct Text Capitalization","description":"Ensure proper capitalization (first letter of each sentence and proper nouns) for a given text.","imageAlt":"Correct Text Capitalization"},{"title":"Analyze Customer Reviews","description":"Summarize and classify customer reviews, recommend a grounded next action, and flag reviews that need manual review.","imageAlt":"Analyze Customer Reviews"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair ChatGPT Powered Translation Tool with complementary data tools in Datablist.","cards":[{"title":"Google Translate","description":"Translate a column with Google Translate.","imageAlt":"Google Translate"},{"title":"DeepL Translate","description":"Translate a column with DeepL, formality and context options.","imageAlt":"DeepL Translate"},{"title":"Ask ChatGPT/OpenAI","description":"Run any ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about models, cost, instructions and structured text.","items":[]},"guide":{"hero":{"title":"How to use Datablist's ChatGPT Powered Translation Tool","description":"Run Datablist's ChatGPT Powered Translation Tool on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Target Language","Text","The language that you are translating to"],["Source Language","Text","If not specified, will be auto detected"],["Advanced Settings","Boolean","Configure model and extra instructions."],["GPT Model","Text","Choose a model under Advanced Settings. GPT-4o mini is the default. Character-based estimates range from about 0.9 to 50 credits per 1,000 characters; actual cost depends on token usage."],["Extra Instructions","Text","Under Advanced Settings, choose Keep XML or HTML structure, Keep JSON structure, or Custom Instructions."],["Custom Instructions","LongText","Required when Advanced Settings is enabled and Extra Instructions is Custom Instructions. Add tone, glossary, placeholder or formatting rules."]]},{"title":"Inputs","rows":[["Text to translate","Text","The text to translate."]]},{"title":"Outputs","rows":[["Translated Text","LongText","Translation returned by ChatGPT"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]}},"corner":{"title":"Try it for Free","body":"Translate a spreadsheet column with ChatGPT in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"ChatGPT Powered Translation Tool"},"EnrichmentPhoneNumberExtractor":{"metadata":{"title":"Phone Number Extractor - Extract Phone Numbers, Type and Carrier From Text | Datablist","description":"Extract phone numbers from text in a CSV or Excel file in bulk, with country, number type and carrier. 0.01 credits per row."},"tabs":["Overview","How to use"],"hero":{"title":"Phone Number Extractor","description":"Turn a column of text into clean international phone numbers, with country, type and carrier. 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It can also return the country, the number type and the carrier name.","cards":[{"title":"What you give","items":["Source Text: A text column, one text per row","Local Phone Countries: Optional: countries for numbers without a + code","Country per Row: Optional: a Country column that overrides the setting"],"links":["See full input reference"]},{"title":"What you get","items":["Extracted Numbers: Phone numbers in international format","Countries and Types: Optional: country name and number type for each number","Carrier Names: Optional: the carrier when the metadata has one"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.01 Credits per Row: 10,000 rows cost 100 credits","500 Free Credits at Signup: Enough to scan 50,000 rows","Billed per Row: A row with several numbers costs the same"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Source Text. Output: Extracted Numbers, Extracted Countries, Extracted Number Types and Extracted Carriers.","groups":["Your data","Added by Phone Number Extractor"],"headers":["Source Text","Extracted Numbers","Extracted Countries","Extracted Number Types","Extracted Carriers"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many rows you want to scan and we'll show you the cheapest way to run them.","unitsLabel":"Rows to scan","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Phone Number Extractor costs 0.01 credits per row, so 10,000 rows cost 100 credits and 1,000,000 rows cost 10,000 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a text column and get the phone numbers back in new columns.","steps":[{"label":"Step 1","title":"Import your text","body":"Upload a CSV or Excel file with the text to scan. 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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. 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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. 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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. 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It cleans messy values first, and skips values that do not look like a person's name.","cards":[{"title":"What you give","items":["Name: A full name, one per row","Messy Formats Welcome: All caps, last name first, titles and name-like emails","Person Names Only: Company names and generic inboxes are rejected"],"links":["See full input reference"]},{"title":"What you get","items":["Name Parts: First name, middle name, last name and title","Gender and Country: Optional: male or female, and the country where the name is most common","Country Confidence: High, Medium, Low or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.05 Credits per Name: 10,000 names cost 500 credits","Billed per Row Checked: A row the parser cannot validate still costs 0.05 credits","Empty Rows Are Free: Empty inputs use no credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Name. Output: 6 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Name Parser"],"headers":["Name","First Name","Middle Name","Last Name","Title","Country","Country Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many names you want to parse and we'll show you the cheapest way to run them.","unitsLabel":"Names to parse","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Name Parser costs 0.05 credits per row it checks, whether or not a reliable name is found. Empty rows cost nothing, so the estimate is the most you would pay. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of names and get structured name fields back.","steps":[{"label":"Step 1","title":"Import your names","body":"Upload a CSV or Excel file with one name per row. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 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 the last name.","imageAlt":"Parse a Name"},{"title":"Parse Name and Gender","description":"Given a full name and a location, return the first name, last name and gender.","imageAlt":"Parse Name and Gender"},{"title":"Split Address Into Parts","description":"Parse a full postal address into structured parts such as street, city and state.","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":"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"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Name Parser with complementary data tools in Datablist.","cards":[{"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"},{"title":"Company Name Cleaner","description":"Fix messy company names for outreach.","imageAlt":"Company Name Cleaner"}],"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, accuracy, rejected values and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Name Parser","description":"Run Datablist's Name Parser 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":[["Name","Text","Name to parse. Ex: John Fitzgerald Kennedy"]]},{"title":"Outputs","rows":[["First Name","Text","Return the First Name part from the name. Ex: John for 'John Fitzgerald Kennedy'."],["Middle Name","Text","Return the Middle Name part from the name. Ex: Fitzgerald for 'John Fitzgerald Kennedy'."],["Last Name","Text","Return the Last Name part from the name. Ex: Kennedy for 'John Fitzgerald Kennedy'."],["Gender","Text","Return 'Male' or 'Female'."],["Title","Text","Return Title part from the name. For example Dr., Jr., Mr., Mme, etc."],["Country","Text","Return the country where the name is the most common."],["Country Confidence","Text","Confidence level for the inferred country: 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":"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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You pick the source column, so IDs, URLs and SKUs stay untouched.","cards":[{"title":"What you give","items":["Text to Translate: One column of text, one text per row","Target Language: Required: one of 31 languages","Source Language: Optional: leave empty to detect it automatically"],"links":["See full input reference"]},{"title":"What you get","items":["Translated Text: The DeepL translation, written to a new column","Your Original Column: Stays unchanged next to the translation","Run Status per Row: Filter empty or failed rows and rerun only them"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["35 Credits per 1,000 Characters: 10,000 characters cost 350 credits","Billed by Text Length: Short labels cost little, long descriptions cost more","Your Own DeepL Key: Add it and Datablist charges no translation credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Text to translate. 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Product descriptions, support tickets, reviews, job titles and CMS content all work. Only the column you choose is translated, so IDs, URLs and SKUs stay as they are."},{"label":"Step 2","title":"Choose your languages","body":"Pick the target language. Leave the source language empty and DeepL detects it, or set it for short text such as product names, labels and UI strings. Advanced Settings let you set formality, add context and keep XML tags in place."},{"label":"Step 3","title":"Get the translation in a new column","body":"Each translation is written to a new column and your original text stays unchanged. Rows with empty text or errors are marked in the run status, so you can filter them and rerun only those rows."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Correct Text Grammar","description":"Correct grammatical errors in a given text.","imageAlt":"Correct Text Grammar"},{"title":"Correct Text Capitalization","description":"Ensure proper capitalization (first letter of each sentence and proper nouns) for a given text.","imageAlt":"Correct Text Capitalization"},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract the alternate languages of a page.","imageAlt":"Extract Alternate Languages"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair DeepL Translate with complementary data tools in Datablist.","cards":[{"title":"Google Translate","description":"Translate a column with Google Translate.","imageAlt":"Google Translate"},{"title":"Translate with ChatGPT/OpenAI","description":"Translate text with your own instructions.","imageAlt":"Translate with ChatGPT/OpenAI"},{"title":"Language Detection","description":"Detect the language of each row.","imageAlt":"Language Detection"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about accuracy, languages, cost and your own DeepL key.","items":[]},"guide":{"hero":{"title":"How to use Datablist's DeepL Translate","description":"Run Datablist's DeepL Translate 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"],["Deepl API Key","Text","(Optional) If set, will use this API Key instead of Datablist Credits system."],["Advanced Settings","Boolean","Configure formality, xml/html handling, etc."],["Formality","Text","(Optional) Sets whether the translated text should lean towards formal or informal language. This feature currently only works for target languages DE (German), FR (French), IT (Italian), ES (Spanish), NL (Dutch), PL (Polish), PT-BR and PT-PT (Portuguese), JA (Japanese), and RU (Russian)."],["Context","LongText","(Optional) The context parameter makes it possible to include additional context that can influence a translation but is not translated itself. This additional context can potentially improve translation quality when translating short, low-context source texts such as product names on an e-commerce website, article headlines on a news website, or UI elements."],["Preserve XML tags","Boolean","(Optional) Deepl Tag Handling setting."],["Ignore Tags","Text","(Optional) Comma-separated list of XML tags that indicate text not to be translated."]]},{"title":"Inputs","rows":[["Text to translate","Text","The text to translate."]]},{"title":"Outputs","rows":[["Translated Text","LongText","Translation returned by Deepl"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"}]}},"corner":{"title":"Try it for Free","body":"Translate a spreadsheet column with DeepL in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"DeepL Translate"},"EnrichmentGoogleTranslate":{"metadata":{"title":"Google Translate Connector - Translate a CSV or Excel Column in Bulk | Datablist","description":"Translate a column of text in a CSV or Excel file with Google Translate Connector, in bulk. 109 languages, 35 credits per 1,000 characters."},"tabs":["Overview","How to use"],"hero":{"title":"Google Translate Connector","description":"Translate a spreadsheet column into 109 languages with Google Translate Connector. Your original column stays unchanged. Costs 35 credits per 1,000 characters.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["35 Credits / 1k Characters","109 Target Languages","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Google Translate Connector translates one column of your spreadsheet into the language you choose and writes the result to a new column. 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The cost depends on the number of characters in the source text, not the number of rows. The estimate counts every character 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 text and get the translation back in a new column.","steps":[{"label":"Step 1","title":"Import your spreadsheet","body":"Upload a CSV or Excel file with the text you want to translate. Product catalogs, customer reviews, support tickets, lead notes and website exports all work. Only the column you choose is translated, so codes and IDs stay as they are."},{"label":"Step 2","title":"Choose your languages","body":"Pick the target language from 109 languages. Leave the source language empty and Google detects it, or set it when your rows are in one known language."},{"label":"Step 3","title":"Get the translation in a new column","body":"Each translation is written to a new column and your original text stays unchanged. Rows with empty source text are marked in the run status, so you can filter them."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Correct Text Grammar","description":"Correct grammatical errors in a given text.","imageAlt":"Correct Text Grammar"},{"title":"Correct Text Capitalization","description":"Ensure proper capitalization (first letter of each sentence and proper nouns) for a given text.","imageAlt":"Correct Text Capitalization"},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract the alternate languages of a page.","imageAlt":"Extract Alternate Languages"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Google Translate Connector with complementary data tools in Datablist.","cards":[{"title":"DeepL Translate","description":"Translate a column with DeepL, formality and context options.","imageAlt":"DeepL Translate"},{"title":"Translate with ChatGPT/OpenAI","description":"Translate text with your own instructions.","imageAlt":"Translate with ChatGPT/OpenAI"},{"title":"Language Detection","description":"Detect the language of each row.","imageAlt":"Language Detection"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about languages, cost, source language and large files.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Google Translate Connector","description":"Run Datablist's Google Translate Connector on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Target Language","Text","The language that you are translating to"],["Source Language","Text","If not specified, will be auto detected"]]},{"title":"Inputs","rows":[["Text to translate","Text","The text to translate."]]},{"title":"Outputs","rows":[["Translated Text","LongText","Translation from Google Traduction"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"}]}},"corner":{"title":"Try it for Free","body":"Translate a spreadsheet column with Google Translate Connector in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Google Translate Connector"},"EnrichmentCompanyEnrichment":{"metadata":{"title":"Company Enrichment - Enrich Company Data in Bulk | Datablist","description":"Enrich company lists with industry, location, size and founded year from a domain or LinkedIn URL. 1 credit per company for basic data, 5 credits for live LinkedIn data."},"tabs":["Overview","How to use"],"hero":{"title":"Company Enrichment","description":"Turn company domains, websites and LinkedIn URLs into clean company data. Choose basic firmographics or live LinkedIn profile fields.","primary":"Enrich 500 companies free","guide":"Check Full Guide","note":"No credit card needed","trust":["From 1 Credit per Company","Basic or Live LinkedIn Data","Enrich 500 Companies Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Company Enrichment starts from one company identifier and returns structured company fields. It runs a company enrichment waterfall, so a domain can be matched to its LinkedIn page before the data is pulled.","cards":[{"title":"What you give","items":["Company Domain: A domain or website, e.g. datablist.com","Or a LinkedIn company URL: Choose it in the Enrich from setting","Data to return: Basic data or live LinkedIn data"],"links":["See full input reference"]},{"title":"What you get","items":["Basic data: Name, industry, size, founded year and location","LinkedIn data: Adds description, tagline, followers, specialities","Status: success, not_found or invalid_data on every row"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["1 Credit per Company: For Basic data","5 Credits per Company: For live LinkedIn data","About $1 per 1,000 Companies: In Basic mode, at 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Domain. Output: Name, Industry, Country, Nb Employees Range and Status.","groups":["Your data","Added by Company Enrichment"],"headers":["Company Domain","Name","Industry","Country","Nb Employees Range","Status"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many companies you need to enrich and we'll show you the cheapest way to enrich them.","unitsLabel":"Companies to enrich","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which data do you need?","modes":["Basic data (1 credit per enriched company)","LinkedIn data (5 credits per enriched company)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. 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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":"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. 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Impressum Scraper costs 10 credits per website, and the estimate charges every website you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add German company websites and get their legal details back.","steps":[{"label":"Step 1","title":"Import your websites","body":"Upload a CSV or Excel file with one website per row. Use homepages or root domains of German company sites, because the AI starts from the website you provide. Remove social profile links and directory pages first."},{"label":"Step 2","title":"AI finds the Impressum","body":"The AI looks for an impressum or imprint page on the same site, checking common paths and legal links in the navigation. It does not use search engines or external links."},{"label":"Step 3","title":"Get legal company details","body":"Each row returns the managing director, company name, address, contacts, VAT and registration numbers, a confidence score and any error. Review important rows before you rely on them. Everything lands in your collection, ready to filter and export."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Impressum Page Scraping","description":"Find the Impressum page for a website and extract company and contact information.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""},{"title":"Company Data Extraction","description":"Visit a website and extract information about the company.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Impressum Scraper with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"Technology Identifier","description":"Find the technology stack of any website.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about Impressum pages, fields, billing and accuracy."},"guide":{"hero":{"title":"How to use Datablist's Impressum Scraper","description":"Run Datablist's Impressum Scraper on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Website","Text","URL of the website to visit"]]},{"title":"Outputs","rows":[["Managing Director First Name","Text","The first name of the Managing Director/Founder. Empty if not found."],["Managing Director Last Name","Text","The last name of the Managing Director/Founder. Empty if not found."],["Managing Director Gender","Text","The gender (male, female) of the Managing Director/Founder. Empty if not found."],["Company Name","Text","The name of the company, when available."],["Postal Address","LongText","The postal address for the company, when available."],["Email Addresses","Text","Email addresses found on the impressum page."],["Phone Number","Text","The company phone number."],["VAT number","Text","The company VAT number."],["Company Registration Number","Text","The company identification number."],["Impressum Url","Url","The link to the impressum page."],["Confidence Score","Number","Confidence score for the results. Between 0 and 100. The higher, the better."],["Error Msg","Text","Agent Error message, if any."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Extract company details from German Impressum pages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Impressum Scraper","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentLinkedInCompanyPageScraper":{"metadata":{"title":"LinkedIn Company Page Scraper - Scrape Company Data in Bulk | Datablist","description":"Scrape public data from LinkedIn company pages in bulk: name, website, industry, size, followers and headquarters. 25 credits per company page."},"tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Company Page Scraper","description":"Turn LinkedIn company page URLs into structured company data: website, industry, size, followers and headquarters, in bulk.","primary":"Scrape 20 company pages free","guide":"Check Full Guide","note":"No credit card needed","trust":["25 Credits per Company Page","17 Output Fields per Company","Scrape 20 Company Pages Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"LinkedIn Company Page Scraper loads each public LinkedIn company page on your list and returns its data as columns. It is useful when you trust LinkedIn more than old CRM data or third-party databases.","cards":[{"title":"What you give","items":["Company LinkedIn Page URL: One per row, in the format linkedin.com/company/name","Numerical Company IDs: URLs with numerical IDs work at the same 25-credit price","Clean URLs: Invalid or unrelated URLs are marked in the status output"],"links":["See full input reference"]},{"title":"What you get","items":["Company Basics: Name, tagline, description, website, industry and specialities","Size and Type: Company type, company size, founded year and follower count","Headquarters: Country, city, address and postal code, plus the logo URL"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Company Page: 500 pages cost 12,500 credits","Same Price for Numerical IDs: Named and numerical company URLs both cost 25 credits","About $0.025 per Page: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company LinkedIn Page URL. Output: 7 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by LinkedIn Company Page Scraper"],"headers":["Company LinkedIn Page URL","Name","Website","Industry","Company Size","Follower Count","Headquarter City","Enrichment Status"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many company pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Company pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which URLs do you have?","modes":["Company URLs with named or numerical IDs (25 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. LinkedIn Company Page Scraper costs 25 credits per company page, whether the URL contains a company name or a numerical ID. The estimate counts every page you enter once at that rate. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add LinkedIn company page URLs and get structured company data back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one LinkedIn company page URL per row, in the format linkedin.com/company/name. Clean the list first, because invalid or unrelated URLs are marked in the status output. Keep your original columns so you can audit the results later."},{"label":"Step 2","title":"Datablist loads each page","body":"The enrichment loads each public company page and parses its data. Run it on a small sample first, then launch the full batch once the columns look right. Each row also gets a status, so failures are easy to spot."},{"label":"Step 3","title":"Get structured company data","body":"Each row gets company fields such as name, website, industry, size, followers and headquarters, plus a status. Fix any bad URLs and rerun only those rows. Everything lands in your Datablist collection, ready to filter and export."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"Company Name to LinkedIn URL","description":"Search for the LinkedIn URL using a company name.","imageAlt":""},{"title":"Company Enrichment from Name","description":"Find and enrich a company using its name.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"How to Extract Names and Details From LinkedIn Profile URLs","imageAlt":"How to Extract Names and Details From LinkedIn Profile URLs"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair LinkedIn Company Page Scraper with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Match company websites and LinkedIn company pages.","imageAlt":""},{"title":"Technology Identifier","description":"Find the technology stack of any website.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about fields, URLs, billing and company data."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Company Page Scraper","description":"Run Datablist's LinkedIn Company Page Scraper on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Company LinkedIn Page URL","Text","URL should be in the format of https://www.linkedin.com/company/xxxx. Numeric company IDs are also supported (example: https://www.linkedin.com/company/1234567890)."]]},{"title":"Outputs","rows":[["Name","Text","The name of the company."],["Tagline","Text","The company's tagline or slogan as displayed on their LinkedIn page. This is a short phrase that describes the company's mission or value proposition."],["Description","Text","Description of the company"],["Website","Url","Company website URL"],["Industry","Text","The industry attribute from the LinkedIn Company profile. Ex: Real Estate."],["Specialities","Text","Comma-separated list of company specialities or focus areas as listed on LinkedIn."],["Company Type","Text","One of: EDUCATIONAL, GOVERNMENT_AGENCY, NON_PROFIT, PARTNERSHIP, PRIVATELY_HELD, PUBLIC_COMPANY, SELF_EMPLOYED, SELF_OWNED"],["Company Size","Number","The size of the company as indicated on LinkedIn."],["Founded Year","Number","The company founded year."],["Follower Count","Number","The number of followers the company has on LinkedIn."],["Logo URL","Url","URL of the company's logo image from LinkedIn."],["Headquarter Country","Text","-"],["Headquarter City","Text","-"],["Headquarter Address","Text","The street address of the company's headquarters (e.g., '1600 Amphitheatre Parkway')."],["Headquarter Postal Code","Text","The postal code or ZIP code of the company's headquarters."],["LinkedIn Internal Id","Text","-"],["Enrichment Status","Text","Return \"found\", \"not_found\", \"bad_format\" or \"missing_data\" (empty LinkedIn Profile URL)"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"How to Extract Names and Details From LinkedIn Profile URLs","imageAlt":"How to Extract Names and Details From LinkedIn Profile URLs"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"}]}},"corner":{"title":"Try it for Free","body":"Scrape public data from LinkedIn company pages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"LinkedIn Company Page Scraper","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentLinkedInProfileFinderFromName":{"metadata":{"title":"LinkedIn Profile Finder from Name - Find LinkedIn URLs in Bulk | Datablist","description":"Find the LinkedIn profile URL for every name in your CSV or Excel file. Add a company or school keyword to improve matches. 2.5 credits per lookup."},"tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Profile Finder from Name","description":"Turn a list of names into LinkedIn profile URLs. Add a keyword like a company for better matches and review each result by confidence.","primary":"Find 200 profiles free","guide":"Check Full Guide","note":"No credit card needed","trust":["2.5 Credits per Lookup","Confidence Level for Every Match","Find 200 Profiles Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"LinkedIn Profile Finder from Name searches Google for a matching public LinkedIn profile for each person in your list. It returns the profile URL, the page title, a summary and a confidence level.","cards":[{"title":"What you give","items":["Name: A Full Name, or a First Name and a Last Name","Keyword: Optional: a company, school, job title or city","Settings: Target Country and Skip if not matching name"],"links":["See full input reference"]},{"title":"What you get","items":["LinkedIn Page: The profile URL when one is found","Page Title and Summary: Role, company and a short abstract from the result","Profile Confidence: High, Medium, Low or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["2.5 Credits per Lookup: 1,000 lookups cost 2,500 credits","Billed per Lookup: Charged whether or not a profile is found","Empty Rows Are Free: Rows with no name cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Full Name and Keyword. Output: LinkedIn Page, LinkedIn Profile Page Title and Profile Confidence.","groups":["Your data","Added by LinkedIn Profile Finder from Name"],"headers":["Full Name","Keyword","LinkedIn Page","LinkedIn Profile Page Title","Profile Confidence"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many names you need to look up and we'll show you the cheapest way to run them.","unitsLabel":"Names to look up","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. LinkedIn Profile Finder from Name costs 2.5 credits per lookup, whether or not a profile is found. Rows with no name cost 0 credits, so the estimate is a ceiling if your file has empty rows. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give Datablist a name and a keyword, and it finds the profile.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with a Full Name column, or separate First Name and Last Name columns. Add a company, school or city column when you have one, because it helps pick the right person."},{"label":"Step 2","title":"Datablist searches for the profile","body":"For each row, Datablist runs a search with the name and your keyword and looks for a matching public LinkedIn profile. Set a target country to focus the results on your region."},{"label":"Step 3","title":"Review matches by confidence","body":"Each row returns the profile URL, page title, summary and a confidence level from High to Very Low. Filter on confidence before outreach and review the weaker matches by hand. Strong matches can go straight into your next enrichment."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Find LinkedIn Profiles From a Name and Company","imageAlt":"How to Find LinkedIn Profiles From a Name and Company"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair LinkedIn Profile Finder from Name with complementary data tools in Datablist.","cards":[{"title":"Waterfall Phone Finder","description":"Find phone numbers from LinkedIn profile URLs.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about matching, confidence, billing and privacy."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Profile Finder from Name","description":"Run Datablist's LinkedIn Profile Finder from Name on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Target Country","Text","Search engine country setting. Default to US."],["Skip if not matching name","Boolean","If checked, will skip LinkedIn URL profile if the name doesn't match exactly. To get more results, keep it unchecked and filter the profiles using the Page Title afterward."]]},{"title":"Inputs","rows":[["Full Name","Text","Prospect Full Name. Map the \"Full Name\" input, or both \"First Name\" and \"Last Name\""],["First Name","Text","Prospect First Name. Map the \"Full Name\" input, or both \"First Name\" and \"Last Name\""],["Last Name","Text","Prospect Last Name. Map the \"Full Name\" input, or both \"First Name\" and \"Last Name\""],["Keyword","Text","Extra keyword to narrow search. Ex: Company Name, School Name, etc."]]},{"title":"Outputs","rows":[["LinkedIn Page","-","LinkedIn page URL when found."],["LinkedIn Profile Page Title","Text","The page title can give you info about the current job position, the company, etc."],["LinkedIn Profile Summary","LongText","Abstract of profile summary when possible."],["Profile Confidence","Text","Confidence level of the match: High, Medium, Low, or Very Low."],["Processed","Boolean","Checkbox property. True if the action has process the item. Useful to avoid calling again on items with no LinkedIn result"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Find LinkedIn Profiles From a Name and Company","imageAlt":"How to Find LinkedIn Profiles From a Name and Company"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]}},"corner":{"title":"Try it for Free","body":"Find LinkedIn profile URLs from names in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"LinkedIn Profile Finder from Name","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentLinksEmailScraper":{"metadata":{"title":"Links & Email Addresses Scraper - Extract Emails, LinkedIn and Instagram Links in Bulk | Datablist","description":"Scrape email addresses, LinkedIn links and Instagram profiles from a list of webpage URLs. 0.10 credits per page, 0.50 with a proxy."},"tabs":["Overview","How to use"],"hero":{"title":"Links & Email Addresses Scraper","description":"Turn a list of webpage URLs into email addresses and LinkedIn and Instagram links. A simple scrape costs 0.10 credits per page.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.10 Credits per Page","Emails and Social Links","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Links & Email Addresses Scraper reads each webpage on your list and returns the email addresses, LinkedIn links and Instagram profiles it finds. It can use a proxy when a site blocks normal requests, and render JavaScript pages.","cards":[{"title":"What you give","items":["URL to Parse: A full URL with http or https, one per row","Proxy and Rendering: Optional: proxy on errors, or render JavaScript pages","Ignore Terms: Optional: skip noisy LinkedIn or Instagram matches"],"links":["See full input reference"]},{"title":"What you get","items":["Email Addresses: A comma-separated list of what is found on the page","Social Links: LinkedIn pages and profiles, and Instagram profiles","Scraping Status: success, unreachable, http_error, invalid_url or empty_url"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 simple pages cost 1,000 credits","0.50 Credits with a Proxy: With proxy fallback you pay it only for pages that need it","2 Credits with Render HTML: For pages rendered by JavaScript"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: URL to parse. Output: Email Addresses, LinkedIn Profiles, Instagram Profiles and Scraping Status.","groups":["Your data","Added by Links & Email Addresses Scraper"],"headers":["URL to parse","Email Addresses","LinkedIn Profiles","Instagram Profiles","Scraping Status"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping mode?","modes":["Basic scraping (0.1 credits per page)","With a proxy (0.5 credits per page)","With Render HTML (2 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Links & Email Addresses Scraper costs 0.10 credits per page for basic scraping, 0.50 credits with a proxy and 2 credits with Render HTML. A cached page costs 0.05 credits. The estimate charges every page you enter once at the rate you select, and cached pages can reduce it. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add webpage URLs and get emails and social links back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one webpage URL per row. Use the full URL with http or https. Homepages, contact pages and team pages usually work better than directory search pages."},{"label":"Step 2","title":"Choose what to extract","body":"Map the URL column and pick the outputs: email addresses, LinkedIn links and Instagram profiles. Turn on the proxy for sites that block normal requests, or Render HTML for pages built with JavaScript."},{"label":"Step 3","title":"Get clean columns back","body":"Each URL returns its results as comma-separated lists, plus a scraping status that separates failures from clean misses. Split the lists into one value per row before outreach, or send them to a deeper enrichment."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Video Links","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Business Number Extractor","description":"Visit a company website and extract its phone number with the source location.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Links & Email Addresses Scraper with complementary data tools in Datablist.","cards":[{"title":"Smart Scraper","description":"Scrape page text, emails and social links in bulk.","imageAlt":""},{"title":"Instagram Profile Scraper","description":"Scrape public Instagram profile data in bulk.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data from LinkedIn profile URLs.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, formats and when to use Smart Scraper."},"guide":{"hero":{"title":"How to use Datablist's Links & Email Addresses Scraper","description":"Run Datablist's Links & Email Addresses Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Proxy when needed","Boolean","Use a proxy to avoid protected pages, bypass rate limit, CAPTCHA, etc. Enrichment Cost is 0.50 credit per scrape with proxy. Disabled by default."],["Proxy Policy","Text","When to enable proxy? Default: Proxy enabled on scraping error."],["Render HTML","Boolean","Render the page in a headless browser before scraping. Use this setting to scrape javascript rendered urls. Enrichment Cost is 2 credits per scrape with this option. Default to false."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."],["Instagram Ignore Terms","Text","Optional. Comma-separated list of terms to filter Instagram results. For example, with the ignore term: \"data\", the instagram https://www.instagram.com/DATAblist/ will be ignored."],["LinkedIn Ignore Terms","Text","Optional. Comma-separated list of terms to filter LinkedIn results. For example, with the ignore term: \"data\", https://www.linkedin.com/company/DATAblist/ will be ignored."],["Scrape Email Addresses in scripts/comments","Boolean","If true, will extract hidden email addresses found in JavaScript code, or comments. Note: You might get debug or irrelevant email addresses. Default to false."]]},{"title":"Inputs","rows":[["URL to parse","-","Full URL with protocol (http/https)."]]},{"title":"Outputs","rows":[["Email Addresses","Text","Comma-separated list of email addresses when found."],["LinkedIn Profiles","Text","Comma-separated list of LinkedIn Pages or Profiles when found."],["Instagram Profiles","Text","Comma-separated list of instagram profiles when found."],["Scraping Status","Text","One of the following: success, unreachable, http_error (error returned from the server), invalid_url, or empty_url"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Extract emails, LinkedIn links and Instagram profiles from webpages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Links & Email Addresses Scraper","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentTechnologyIdentifier":{"metadata":{"title":"Technology Identifier - Find Website Technologies in Bulk | Datablist","description":"Find the technology stack of every website in your CSV or Excel file: CMS, ecommerce, analytics and hosting tools, plus company details. 5 credits per website."},"tabs":["Overview","How to use"],"hero":{"title":"Technology Identifier","description":"Find the technology stack of any website in bulk. See CMS, ecommerce, analytics and hosting tools, plus company details, from a list of domains.","primary":"Check 100 websites free","guide":"Check Full Guide","note":"No credit card needed","trust":["5 Credits per Website","17 Technology Categories Detected","Check 100 Websites Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Technology Identifier analyzes each website on your list and returns the technologies it uses, grouped by category, plus an estimated technology spend and company details found on the site.","cards":[{"title":"What you give","items":["Website URL: A domain or a homepage URL, one per row","Homepages Work Best: Deep links may work, but homepages show more of the stack","No Settings: There is nothing to configure before you run it"],"links":["See full input reference"]},{"title":"What you get","items":["Technologies by Category: 17 groups, including analytics, marketing, servers and security","Technology Spend: Very low, low, medium, high or very high","Company and Contact Details: Name, industry, size, locations, emails and phone numbers found on the site"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["5 Credits per Website: 1,000 websites cost 5,000 credits","Billed per Website: Each website you run is one analysis","About $0.005 per Website: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Website URL. Output: 44 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Technology Identifier"],"headers":["Website URL","Company Name","Industry","Technology Spend","Analytics Technologies","Marketing Technologies","Servers Technologies","Security Technologies","Web development Technologies","Sales Technologies","Communication Technologies","Content Technologies","Business tools Technologies","Privacy Technologies","Utilities Technologies","Responsive","Copyright Year","Add-ons Technologies","Booking Technologies","Location Technologies","Media Technologies","Other Technologies","User generated content Technologies","Inferred Company Name","Meta Title","Meta Description","About Company","LinkedIn","Facebook","Twitter","Instagram","Countries","Languages","Locations","Company Size","Company Type","Founded Year","Total Funding (USD)","Funding Rounds","Employees","Phone Numbers","Email Addresses","Unverified Email Addresses","WhatsApp Numbers","Website"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many websites you want to analyze and we'll show you the cheapest way to run them.","unitsLabel":"Websites to analyze","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Technology Identifier costs 5 credits per website, and the estimate charges every website you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a list of websites and get their technology stack back.","steps":[{"label":"Step 1","title":"Import your websites","body":"Upload a CSV or Excel file with one website per row. A domain or a homepage URL both work, and homepages usually show more of the stack. Remove duplicate domains first so you do not pay twice for the same site."},{"label":"Step 2","title":"Datablist analyzes each site","body":"The enrichment normalizes each URL, resolves a canonical version when needed, and analyzes the site. It detects technologies such as CMS platforms, ecommerce tools, analytics and hosting. It also reads company details, such as the name, industry and size, from the site."},{"label":"Step 3","title":"Filter by what you find","body":"You get technologies grouped by category, an estimated technology spend and company details. Filter the columns to qualify accounts, segment by stack or research competitors. Everything lands in your collection next to your original columns."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data Extraction","description":"Visit a website and extract information about the company.","imageAlt":""},{"title":"B2B or B2C Classifier","description":"Classify a website as B2B or B2C by its primary audience.","imageAlt":""},{"title":"Company Sector Finder","description":"Figure out a company's sector from its website and public data.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How To Find Companies That Use Shopify: The Last Guide You Need","imageAlt":"How To Find Companies That Use Shopify: The Last Guide You Need"},{"title":"What is a Technology Finder (And How It Brings You More Customers)","imageAlt":"What is a Technology Finder (And How It Brings You More Customers)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Technology Identifier with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"Company Name to Domain","description":"Find company websites from company names in a few clicks.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about detection, results and credits."},"guide":{"hero":{"title":"How to use Datablist's Technology Identifier","description":"Run Datablist's Technology Identifier on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Website URL","Url","The website URL (or domain) to analyze."]]},{"title":"Outputs","rows":[["Add-ons Technologies","LongText","List of technologies in the category \"Add-ons\". See https://www.wappalyzer.com/technologies/ to learn more."],["Analytics Technologies","LongText","List of technologies in the category \"Analytics\". See https://www.wappalyzer.com/technologies/ to learn more."],["Booking Technologies","LongText","List of technologies in the category \"Booking\". See https://www.wappalyzer.com/technologies/ to learn more."],["Business tools Technologies","LongText","List of technologies in the category \"Business tools\". See https://www.wappalyzer.com/technologies/ to learn more."],["Communication Technologies","LongText","List of technologies in the category \"Communication\". See https://www.wappalyzer.com/technologies/ to learn more."],["Content Technologies","LongText","List of technologies in the category \"Content\". See https://www.wappalyzer.com/technologies/ to learn more."],["Location Technologies","LongText","List of technologies in the category \"Location\". See https://www.wappalyzer.com/technologies/ to learn more."],["Marketing Technologies","LongText","List of technologies in the category \"Marketing\". See https://www.wappalyzer.com/technologies/ to learn more."],["Media Technologies","LongText","List of technologies in the category \"Media\". See https://www.wappalyzer.com/technologies/ to learn more."],["Other Technologies","LongText","List of technologies in the category \"Other\". See https://www.wappalyzer.com/technologies/ to learn more."],["Privacy Technologies","LongText","List of technologies in the category \"Privacy\". See https://www.wappalyzer.com/technologies/ to learn more."],["Sales Technologies","LongText","List of technologies in the category \"Sales\". See https://www.wappalyzer.com/technologies/ to learn more."],["Security Technologies","LongText","List of technologies in the category \"Security\". See https://www.wappalyzer.com/technologies/ to learn more."],["Servers Technologies","LongText","List of technologies in the category \"Servers\". See https://www.wappalyzer.com/technologies/ to learn more."],["User generated content Technologies","LongText","List of technologies in the category \"User generated content\". See https://www.wappalyzer.com/technologies/ to learn more."],["Utilities Technologies","LongText","List of technologies in the category \"Utilities\". See https://www.wappalyzer.com/technologies/ to learn more."],["Web development Technologies","LongText","List of technologies in the category \"Web development\". See https://www.wappalyzer.com/technologies/ to learn more."],["Technology Spend","Text","Estimated technology spend (very low, low, medium, high or very high)."],["Website","Url","The website's analyzed."],["Company Name","Text","Official company name."],["Inferred Company Name","Text","Company name inferred from website content (best guess)."],["Meta Title","Text","The website's title, as found on the homepage."],["Meta Description","LongText","The website's meta description."],["Responsive","Boolean","Whether the website is responsive"],["Copyright Year","Number","Copyright year extracted from the footer"],["Industry","Text","Company industry, e.g., 'Design'."],["About Company","LongText","Company description."],["LinkedIn","Text","LinkedIn URLs found on the website's contact page."],["Facebook","Text","Facebook URLs found on the website's contact page."],["Twitter","Text","Twitter URLs found on the website's contact page."],["Instagram","Text","Instagram URLs found on the website's contact page."],["Countries","Text","All countries the website was found to serve content from. Derived from business locations, phone numbers, top-level domain and IP address."],["Languages","Text","All languages detected on the website."],["Locations","Text","Business locations."],["Company Size","Text","Number of employees at the company."],["Company Type","Text","The type of company, e.g., 'Public Company' or 'Privately Held'."],["Founded Year","Number","The year the company was founded."],["Total Funding (USD)","Number","The total amount of funding raised, in USD."],["Funding Rounds","Number","The number of funding rounds."],["Employees","Text","Names and titles of people at the company."],["Phone Numbers","Text","Phone numbers found on the website's contact page."],["Email Addresses","Text","Email addresses found on the website's contact page."],["Unverified Email Addresses","Text","Emails found on the website, but not verified. Use with caution."],["WhatsApp Numbers","Text","WhatsApp numbers found on the website's contact page."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How To Find Companies That Use Shopify: The Last Guide You Need","imageAlt":"How To Find Companies That Use Shopify: The Last Guide You Need"},{"title":"What is a Technology Finder (And How It Brings You More Customers)","imageAlt":"What is a Technology Finder (And How It Brings You More Customers)"}]}},"corner":{"title":"Try it for Free","body":"Find the technology stack of any website in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Technology Identifier","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWaterfallEmailVerifier":{"metadata":{"title":"Waterfall Email Verifier - Verify Email Addresses in Bulk | Datablist","description":"Verify email addresses in bulk with a waterfall of verification providers. Get a status, a reason and a suggested fix for every email. 5 credits per deliverability check."},"tabs":["Overview","How to use"],"hero":{"title":"Waterfall Email Verifier","description":"Check every email on your list before you send. Datablist validates the address, then verifies the mailbox across several providers in sequence.","primary":"Verify 100 emails free","guide":"Check Full Guide","note":"No credit card needed","trust":["5 Credits per Deliverability Check","Verifies Mailboxes Across Providers","Verify 100 Emails Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall Email Verifier starts with syntax and domain checks, then verifies that the mailbox exists and can receive email. Catch-all and unknown results move to the next provider in the waterfall.","cards":[{"title":"What you give","items":["Email: One email address per row","Custom Waterfall: Optional: your own providers and API keys","Waterfall Sequence: Optional: the order of your providers"],"links":["See full input reference"]},{"title":"What you get","items":["Email Status: valid, invalid, risky, catch_all or unknown","Reason and Suggested Email: Why the status was given, and a likely typo fix","Segmentation Fields: Free Provider, Role Account, Domain and MX Provider"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["5 Credits per Deliverability Check: 1,000 checks cost up to 5,000 credits","Free on Early Failures: No charge when the check stops on a syntax or domain error","About $0.005 per Check: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Email. Output: 7 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Waterfall Email Verifier"],"headers":["Email","Email Status","Reason","Suggested Email","Free Provider","Role Account","Domain","MX Provider"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many emails you want to verify and we'll show you the cheapest way to run them.","unitsLabel":"Emails to verify","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall Email Verifier costs 5 credits per deliverability check, and nothing when the check stops on a syntax or domain error such as a disposable domain or an invalid format. The estimate charges every email once, so it is a ceiling when part of your list fails the basic checks. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add your email list and get a verdict for every address.","steps":[{"label":"Step 1","title":"Import your emails","body":"Upload a CSV or Excel file with one email address per row. Keep the original column so you can compare it with the results later. Remove blank rows first so you do not waste a check on them."},{"label":"Step 2","title":"Validate, then verify","body":"Datablist checks the format, the domain and the MX records first. Addresses that pass go through deeper mailbox checks across providers such as MillionVerifier, Icypeas, Enrow, Reoon, Findymail, LeadMagic, BulkEmailChecker and QuickEmailVerification, and catch-all or unknown results move on to the next provider."},{"label":"Step 3","title":"Filter by status","body":"Each email gets a status, a reason and, for likely typos, a suggested fix. Keep the valid addresses for outreach and review risky, catch-all and unknown ones separately. Then export the cleaned list to your CRM or sending tool."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Email First Line","description":"Use a person's LinkedIn description to write an email's first line.","imageAlt":""},{"title":"Normalize First and Last Name","description":"Normalize capitalization and formatting of names without changing them.","imageAlt":""},{"title":"Job Change Check","description":"Verify if a prospect is still working at their company.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)","imageAlt":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)"},{"title":"How to Find Emails at Scale With a Waterfall Email Finder","imageAlt":"How to Find Emails at Scale With a Waterfall Email Finder"},{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall Email Verifier with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"Waterfall Personal Email Finder","description":"Find personal email addresses from a LinkedIn profile URL.","imageAlt":""},{"title":"Free Email Validator","description":"Quick syntax and domain checks on your email list.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about statuses, billing and custom providers."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Email Verifier","description":"Run Datablist's Waterfall Email Verifier on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Custom Waterfall","Boolean","Check this setting to customize the Waterfall sequence and use your own API Keys."],["Waterfall Sequence","MultipleValues","Define each provider and configure your API Keys. Catch-All and Unknown emails are passed down to the next email verification provider."]]},{"title":"Inputs","rows":[["Email","-","-"]]},{"title":"Outputs","rows":[["Email Status","Text","One of the following: valid, invalid, risky, catch_all, unknown"],["Reason","Text","Additional info to explain the status. One of the following: Invalid format, Disposable or blacklisted domain, Spam Trap, DNS Error, Missing MX Records, SMTP server error, Mailbox does not exist, Mailbox is disabled, Mailbox full, Timeout error, Email is temporary greylisted"],["Suggested Email","Email","If the address is invalid and we found a likely repaired version"],["Free Provider","Boolean","Return True if the domain is from a free email provider (Gmail, Yahoo, Hotmail, etc.)"],["Role Account","Boolean","Return True if the email address is a role address (support@, team@, etc.)"],["Domain","Text","Return the domain part of the email. After the @. Example: gmail.com"],["MX Provider","Text","Return the email provider. Examples: google, microsoft, ovh, etc."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)","imageAlt":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)"},{"title":"How to Find Emails at Scale With a Waterfall Email Finder","imageAlt":"How to Find Emails at Scale With a Waterfall Email Finder"},{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"}]}},"corner":{"title":"Try it for Free","body":"Verify email addresses in bulk before you send. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Waterfall Email Verifier","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWaterfallPeopleEnrichment":{"metadata":{"title":"Waterfall People Enrichment - Enrich Contacts in Bulk | Datablist","description":"Enrich contacts in bulk from an email, a LinkedIn URL, or a name and company domain. Get up to 58 person and company fields from several data providers. 100 credits per successful enrichment."},"tabs":["Overview","How to use"],"hero":{"title":"Waterfall People Enrichment","description":"Complete your contact records from an email, a LinkedIn URL, or a name and domain. Datablist uses several providers to return person and company data.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["100 Credits per Successful Enrichment","Up to 58 Fields per Contact","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall People Enrichment completes a contact record from the data you already have. It uses several data providers to return up to 58 fields about the person and their company.","cards":[{"title":"What you give","items":["One Starting Point: An email, a LinkedIn profile URL, or a name plus a company domain","Company Domain: Recommended over a company name for better matching","Settings: Enrich from, and Include phone number"],"links":["See full input reference"]},{"title":"What you get","items":["Person Data: Name, email, headline, job title, location and LinkedIn URL","Career and Education: Past jobs, schools, skills and certifications","Company Data: Name, website, industry, size, location and founded year"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["100 Credits per Successful Enrichment: About $0.10 each at 1,000 credits per dollar","300 Credits with a Phone Number: 100 credits when no phone number is found","Email Starts Are Billed on Misses: Enriching from an email also uses credits on unsuccessful requests"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: First Name, Last Name and Company Domain. Output: 58 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Waterfall People Enrichment"],"headers":["First Name","Last Name","Company Domain","Full Name","Email","Job Title","Company Name","Location","LinkedIn URL","Headline","Company Domain","Company Industry","Company Size Range","Other Emails","LinkedIn Member ID","LinkedIn Premium","Open To Work","Profile Picture","LinkedIn Summary","Skills","Job Description","Job Start Date","Job End Date","Title (Experience #2)","Company Name (Experience #2)","Description (Experience #2)","Position 2 Start Date","Position 2 End Date","Title (Experience #3)","Company Name (Experience #3)","Description (Experience #3)","Position 3 Start Date","Position 3 End Date","City","State","Country","Company Website","Company Description","Company LinkedIn URL","Company LinkedIn ID","Company Logo","Company Founded Year","Company Location","Company Estimated Size","School (Current or last education)","Degree (Current or last education)","Field Of Study (Current or last education)","Start Date (Current or last education)","End Date (Current or last education)","School (Education #2)","Degree (Education #2)","Field Of Study (Education #2)","Start Date (Education #2)","End Date (Education #2)","School (Education #3)","Degree (Education #3)","Field Of Study (Education #3)","Start Date (Education #3)","End Date (Education #3)","Certifications","Processed"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many contacts you want to enrich and we'll show you the cheapest way to run them.","unitsLabel":"Contacts to enrich","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which data do you need?","modes":["Person and company data (100 credits per successful enrichment)","With a phone number (300 credits per enrichment that includes a number)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall People Enrichment costs 100 credits per successful enrichment, or 300 credits for each enrichment that includes a phone number (100 when no number is found). Enriching from an email also uses credits on unsuccessful requests. The estimate charges every contact you enter once at the rate you pick, so it is a ceiling when some lookups fail. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Start from what you have and get a full contact profile back.","steps":[{"label":"Step 1","title":"Import your contacts","body":"Upload a CSV or Excel file with an email address, a LinkedIn profile URL, or a name and company domain for each contact. A domain is more accurate than a company name. Keep your source columns so you can audit the results and rerun failed rows."},{"label":"Step 2","title":"Pick what you start from","body":"Choose Enrich from to match your data, then map your columns. Tick Include phone number if you also want a number. To use another starting point, run the enrichment again with a different choice."},{"label":"Step 3","title":"Get person and company data","body":"Datablist queries several providers and returns up to 58 fields, from name, email and job title to company size and industry. Billing depends on your starting point, as shown above. Everything lands in your collection next to your original columns."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Email First Line","description":"Use a person's LinkedIn description to write an email's first line.","imageAlt":""},{"title":"Decision Maker Flag","description":"Determine if a person is likely a decision maker from their job title.","imageAlt":""},{"title":"Extract Seniority","description":"Extract a standardized seniority level from a job title.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall People Enrichment with complementary data tools in Datablist.","cards":[{"title":"Waterfall Phone Finder","description":"Find phone numbers from LinkedIn profile URLs.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about inputs, data, billing and coverage."},"guide":{"hero":{"title":"How to use Datablist's Waterfall People Enrichment","description":"Run Datablist's Waterfall People Enrichment on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Enrich from","Text","Define what data your already have for your contacts. If you want to use several choices, just re-run the enrichment with another value."],["Include phone number","Boolean","If checked, the cost is 300 credits for each enrichment that includes a phone number. 100 credits when no phone number is found."]]},{"title":"Inputs","rows":[["First Name","Text","Person's first name. Ex: Tim"],["Last Name","Text","Person's last name. Ex: Zheng"],["Full Name","Text","Person's full name (if you don't have the first name and last name splitted). Ex: Tim Zheng. We recommand to use First Name and Last Name fields instead for better results."],["Company Domain","Text","Person's company domain (optional). Ex: datablist.com. Recommended over just the company name."],["Company Name","Text","Person's company name (optional). Ex: Datablist"]]},{"title":"Outputs","rows":[["Full Name","Text","Person's full name."],["Email","Email","Person's email"],["Other Emails","Text","Additional email addresses found for the profile, comma-separated."],["LinkedIn URL","Url","Person's LinkedIn url."],["LinkedIn Member ID","Text","The numeric LinkedIn member ID for the profile."],["LinkedIn Premium","Boolean","True if the person has LinkedIn Premium"],["Open To Work","Boolean","Whether the profile is open to work."],["Profile Picture","Url","LinkedIn profile picture URL."],["Headline","Text","Person's Profile Headline. Ex: Co-chair, Bill & Melinda Gates Foundation"],["LinkedIn Summary","LongText","The profile summary text."],["Skills","Text","Skills listed on the LinkedIn profile, comma-separated."],["Job Title","Text","Person's job title. Ex: Sales Executive, CEO, etc."],["Job Description","LongText","Description of the current or last experience."],["Job Start Date","Text","Person's current job start date. In format: YYYY-MM-DD"],["Job End Date","Text","End date of the current or last experience, when available. In format: YYYY-MM-DD."],["Title (Experience #2)","Text","Second position from the LinkedIn profile."],["Company Name (Experience #2)","Text","Company name from the second most recent work experience."],["Description (Experience #2)","LongText","Description of the second most recent work experience."],["Position 2 Start Date","Text","Start date of the second position."],["Position 2 End Date","Text","End date of the second position."],["Title (Experience #3)","Text","Third position from the LinkedIn profile."],["Company Name (Experience #3)","Text","Company name from the third most recent work experience."],["Description (Experience #3)","LongText","Description of the third most recent work experience."],["Position 3 Start Date","Text","Start date of the third position."],["Position 3 End Date","Text","End date of the third position."],["Location","Text","Person's location info on LinkedIn. Mostly 'City, State, Country'"],["City","Text","Parsed City from location info."],["State","Text","Parsed State from location info."],["Country","Text","Parsed Country from location info."],["Company Name","Text","Person's company name."],["Company Website","Url","Person's company website."],["Company Domain","Text","Person's company domain."],["Company Description","LongText","Person's company description."],["Company LinkedIn URL","Url","Person's company LinkedIn url."],["Company LinkedIn ID","Text","The company LinkedIn ID, when available."],["Company Logo","Url","The company logo URL, when available."],["Company Founded Year","Number","Person's company founded year."],["Company Location","Text","Person's company location."],["Company Industry","Text","Person's company industry."],["Company Size Range","Text","Person's company employees size range. Can be a range (ex: 1001-5000), or just 10001+ for companies with more than 10k employees."],["Company Estimated Size","Number","Person's company estimated number of employees (number)."],["School (Current or last education)","Text","Most recent education from the LinkedIn profile."],["Degree (Current or last education)","Text","Degree from the most recent education."],["Field Of Study (Current or last education)","Text","Field of study from the most recent education."],["Start Date (Current or last education)","Text","Start date of the most recent education."],["End Date (Current or last education)","Text","End date of the most recent education."],["School (Education #2)","Text","Second education from the LinkedIn profile."],["Degree (Education #2)","Text","Degree from the second education."],["Field Of Study (Education #2)","Text","Field of study from the second education."],["Start Date (Education #2)","Text","Start date of the second education."],["End Date (Education #2)","Text","End date of the second education."],["School (Education #3)","Text","Third education from the LinkedIn profile."],["Degree (Education #3)","Text","Degree from the third education."],["Field Of Study (Education #3)","Text","Field of study from the third education."],["Start Date (Education #3)","Text","Start date of the third education."],["End Date (Education #3)","Text","End date of the third education."],["Certifications","Text","Certification names listed on the LinkedIn profile, comma-separated."],["Processed","Boolean","Checkbox flag to track if an item has been processed by this enrichment."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]}},"corner":{"title":"Try it for Free","body":"Enrich contacts from an email, a LinkedIn URL or a name and domain. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Waterfall People Enrichment","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWaterfallPeopleSearch":{"metadata":{"title":"Waterfall People Search - Find Leads at Companies in Bulk | Datablist","description":"Find leads at the companies on your list by company domain. Filter by job title, seniority and country. 30 credits for a preview, 100 for a full profile with email, nothing for no result."},"tabs":["Overview","How to use"],"hero":{"title":"Waterfall People Search","description":"Go from a list of company domains to the right contacts. Filter by job title, seniority and country, and pay nothing when there is no result.","primary":"Preview 16 leads free","guide":"Check Full Guide","note":"No credit card needed","trust":["From 30 Credits per Lead","Up to 3 Leads per Company","Preview 16 Leads Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall People Search finds leads at each company domain on your list. It tries your first search, falls back to up to two more, and returns profile data, with a work email in full mode.","cards":[{"title":"What you give","items":["Company Domain: A domain or website, one per row","Search Filters: Job titles, departments, seniority and keywords","Settings: Lead Country, contacts per search, results type and cache age"],"links":["See full input reference"]},{"title":"What you get","items":["Contact Details: First name, last name, full name and LinkedIn URL","Role and Location: Job title, start date, seniority, city, region and country","Email and Company: Work email in full mode, the company LinkedIn page and a search status"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["30 Credits for a Preview: Basic profile data without email, per lead","100 Credits for Full Data: A full profile with work email, per lead","No Charge for No Result: When a search finds nothing you pay nothing"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company domain. Output: 14 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Waterfall People Search"],"headers":["Company domain","Full Name #1","Job Title #1","Work Email Address #1","Seniority #1","LinkedIn URL #1","City #1","Country #1","First Name #1","Last Name #1","LinkedIn Summary #1","Job Start Date #1","Region #1","Company LinkedIn Page #1","Search Status"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all 15 columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many leads you want to find and we'll show you the cheapest way to get them.","unitsLabel":"Leads to find","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which results type?","modes":["Full profile with email (100 credits per lead)","Preview without email (30 credits per lead)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall People Search costs 30 credits per lead for preview data and 100 credits per lead for a full profile with work email, and nothing when no result is found. The estimate assumes every lead you enter is found, so your real cost is lower when some searches return no result. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add company domains and get the right contacts at each one.","steps":[{"label":"Step 1","title":"Import your companies","body":"Upload a CSV or Excel file with one company domain or website per row. If you only have company names, run Company Name to Domain first, because a domain gives the search a precise starting point."},{"label":"Step 2","title":"Define your searches","body":"Add job title, seniority and keyword filters. Datablist runs Search #1 first and falls back to Search #2 and Search #3 when it finds nothing, so you can start tight and then widen the search."},{"label":"Step 3","title":"Get leads at each company","body":"Each company returns up to three leads with name, LinkedIn URL, job title, seniority and location, plus a work email in full mode. A search with no match costs nothing."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""},{"title":"Decision Maker Flag","description":"Determine if a person is likely a decision maker from their job title.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"How To Get a Full Lead List From LinkedIn in 2026 (Emails Included)","imageAlt":"How To Get a Full Lead List From LinkedIn in 2026 (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall People Search with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email, a LinkedIn URL or a name and domain.","imageAlt":""},{"title":"Company Name to Domain","description":"Find company websites from company names in a few clicks.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about filters, fallbacks, billing and coverage."},"guide":{"hero":{"title":"How to use Datablist's Waterfall People Search","description":"Run Datablist's Waterfall People Search on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Lead Country (recommended)","Text","A Country filter to narrow the search. The country filter applies to the people, not the companies. The companies headquarters can be in other countries."],["Number of persons returned per search","Number","Default to 1. Max 3."],["Results Type","Text","The preview type returns only basic profile information. Preview Profile without email: 30/lead. Full Profile with email (default): 100/lead."],["Allowed Cache Age","Text","Results are cached to avoid paying multiple times for the same search. Configure the cache limit here. Default to 30 days."],["Waterfall Searches","MultipleValues","Datablist will search using Search #1 criterias. If no result, it will use Search #2 criterias, etc. You can define up to 3 fallbacks"]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain or website. Ex: google.com, https://www.hubspot.com/. Note: Use the Find Company domains from Company names enrichment if you only have company names."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","-"],["Job Start Date #1","Text","-"],["Work Email Address #1","Email","-"],["Seniority #1","Text","One of: owner, cxo, vp, director, manager, senior, entry, intern."],["City #1","Text","-"],["Region #1","Text","-"],["Country #1","Text","-"],["Company LinkedIn Page #1","Url","-"],["Search Status","Text","One of: found, no_result, missing_data, error"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"How To Get a Full Lead List From LinkedIn in 2026 (Emails Included)","imageAlt":"How To Get a Full Lead List From LinkedIn in 2026 (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find leads at the companies on your list by company domain. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Waterfall People Search","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWebsiteStatusChecker":{"metadata":{"title":"Website Status & Parked Domain Checker - Find Dead, Redirected and Parked Websites | Datablist","description":"Check if websites are online, dead, redirected or parked in bulk, and capture the final URL. 0.20 credits per check, 0.60 with a proxy."},"tabs":["Overview","How to use"],"hero":{"title":"Website Status & Parked Domain Checker","description":"Turn a list of website URLs into online, redirected, parked or unreachable statuses, with the final URL for each. A check costs 0.20 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.20 Credits per Check","Detects Parked Domains","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Website Status & Parked Domain Checker visits each URL and reports whether the site is online, redirected, parked or unreachable. It follows redirects to capture the final URL, and retries with a proxy when a site blocks the first check.","cards":[{"title":"What you give","items":["Website URL: A homepage or a deep link, one per row","Proxy Policy: Optional: when to retry with a proxy","Cache Setting: Optional: skip cached results for a fresh check"],"links":["See full input reference"]},{"title":"What you get","items":["Website Status: Online, Redirected, Parked or Unreachable","HTTP Status Code and Final URL: The raw response code and where the redirects end","Page Title and Error Message: The HTML title, and the technical reason when a check fails"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.20 Credits per Check: 10,000 checks cost 2,000 credits","0.60 Credits with a Proxy: Applied only when a site blocks the standard check","0.05 Credits for Cached URLs: Pages cached in the last 7 days"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Website Url. Output: Website Status, HTTP Status Code, Final URL, Page Title and Error Message.","groups":["Your data","Added by Website Status & Parked Domain Checker"],"headers":["Website Url","Website Status","HTTP Status Code","Final URL","Page Title","Error Message"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many websites you want to check and we'll show you the cheapest way to run them.","unitsLabel":"Websites to check","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which check?","modes":["Standard check (0.2 credits per website)","With a proxy retry (0.6 credits per website)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Website Status & Parked Domain Checker costs 0.20 credits per check, and 0.60 credits when a protected site needs a proxy retry. A cached URL costs 0.05 credits. The estimate charges every website you enter once at the rate you select, and assumes unreachable sites are charged too, because the cost line does not say otherwise. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add website URLs and get a status for each one.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one website URL per row. You can check a homepage such as example.com or a specific page. Old CRM exports and scraped lists are the best candidates."},{"label":"Step 2","title":"Run the check","body":"Map the URL column and choose the proxy policy. When a site blocks the standard check, Datablist retries through a proxy, so protected sites do not show up as false errors. A parked domain is flagged even when its page returns 200 OK."},{"label":"Step 3","title":"Get a status for every row","body":"Each row returns Online, Redirected, Parked or Unreachable, plus the HTTP status code, the final URL and the page title. When a check fails, the error message says why. Filter out Parked and Unreachable rows, or update redirected rows with the final URL."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Extract Video Links","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Business Number Extractor","description":"Visit a company website and extract its phone number with the source location.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Website Status & Parked Domain Checker with complementary data tools in Datablist.","cards":[{"title":"Fetch Meta Data from URLs","description":"Pull page titles and meta tags from a list of URLs.","imageAlt":""},{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"Technology Identifier","description":"Find the technology stack of any website.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about statuses, parked domains, proxies and cost."},"guide":{"hero":{"title":"How to use Datablist's Website Status & Parked Domain Checker","description":"Run Datablist's Website Status & Parked Domain Checker on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Proxy Policy","Text","When to enable proxy? Default: Proxy enabled on scraping error."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."]]},{"title":"Inputs","rows":[["Website Url","-","The website url to fetch meta information"]]},{"title":"Outputs","rows":[["Website Status","Text","Online: Website is accessible and functioning. Redirected: Domain changed (e.g., company.com to newcompany.com). Parked: Domain is for sale or placeholder page. Unreachable: Connection failed, DNS error, or server down."],["HTTP Status Code","Number","Raw response code (e.g., 200, 301, 404, 503)"],["Final URL","Url","Destination URL after following redirections"],["Page Title","LongText","Text inside the HTML tag"],["Error Message","LongText","Technical description if the check fails"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"}]}},"corner":{"title":"Try it for Free","body":"Check if websites are online, redirected or parked in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Website Status & Parked Domain Checker","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentCompanyNameToDomain":{"metadata":{"title":"会社名からドメインを一括検索 | 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Finderでは、氏名とドメインから検証済みのemailアドレスを取得できます。テクノロジーエンリッチメントでは、サイトから利用技術のstackを読み取ります。"}]},"related":{"eyebrow":"インテグレーション","title":"関連するエンリッチメント","description":"Company Domain FinderとDatablistの補完的なデータツールを組み合わせてご利用いただけます。","cards":[{"title":"企業データエンリッチメント","description":"ドメインから業界、規模、所在地、設立年を取得します。","imageAlt":""},{"title":"Waterfall Email Finder","description":"ドメインと氏名から検証済みのemailアドレスを検索します。","imageAlt":""},{"title":"会社名クリーナー","description":"検索前にLLCやIncを削除し、大文字・小文字を整えます。","imageAlt":""}],"action":"すべてのエンリッチメントを見る"},"free":{"eyebrow":"無料ツール","title":"まずは無料でお試しください","description":"関連ツールの無料版を使い、本格的な一括処理の前に数行でお試しいただけます。","cards":[{"title":"無料ドメイン検索","description":"会社名を貼り付けてWebサイトを検索できます。無料で、クレジットカードは不要です。","imageAlt":""},{"title":"無料会社名クリーナー","description":"会社名を正規化します。法人格を削除し、大文字・小文字を修正して、重複を検出します。","imageAlt":""},{"title":"無料Email 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3166コードまたは英語の国名を入力します"]]},{"title":"出力","rows":[["企業ドメイン","テキスト","見つかった場合の企業ドメイン（例：google.com）"],["企業の完全なURL","URL","見つかった場合の企業の完全なURL（例：https://www.google.com）"],["ドメイン信頼度","テキスト","マッチの確度：「高」「中」「低」「非常に低」のいずれか"],["ステータス","テキスト","success、not_found、empty_nameのいずれか"]]}]},"cta":{"title":"手作業はもう不要です Datablistなら数秒で完了","body":"Datablistをお試しいただき、workflowの自動化がいかに簡単かをご体験ください。 すでに38,000人以上のユーザーが利用しています！","label":"お問い合わせ"},"articles":{"title":"関連記事","cards":[{"title":"会社名からドメインを検索する3つの一括処理方法","imageAlt":"会社名からドメインを検索する3つの一括処理方法"},{"title":"会社名から企業Webサイトを検索する方法","imageAlt":"会社名から企業Webサイトを検索する方法"},{"title":"会社名から企業データをエンリッチする方法","imageAlt":"会社名から企業データをエンリッチする方法"}]},"steps":[{"title":"ステップ1：登録してデータをアップロード","paragraphs":["まず、<a href=\"signup\">Datablist.com</a>にご登録ください","次に、会社名のリストを含むCSVまたはExcelファイルをアップロードします"],"imageAlts":["会社名からドメインを検索 - 登録","会社名からドメインを検索 - 会社リストをアップロード"]},{"title":"ステップ2：企業ドメイン検索エンリッチメントを開く","paragraphs":["1. 上部メニューのEnrichをクリックします","2. Companiesタブを開きます","3. Find Company Domain from Company Nameを選択します。"],"imageAlts":["会社名からドメインを検索 - エンリッチメントライブラリ"]},{"title":"ステップ3：Workflowを設定","paragraphs":["Workflowで「Use only companies dataset」を選択します。ドメインが見つかった場合に1件につき1クレジットとなる、最も低コストな方法です。","Target Countryを設定します。各行に個別の国の列がある場合は、Define Target Country By Itemにチェックを入れてください。","データセットで見つからない会社名も検索するには、Googleのworkflowを選択します。残りの会社名に対してGoogleライブ検索が実行され、結果の有無にかかわらず1回につき2.5クレジットが消費されます。"],"imageAlts":["会社名からドメインを検索 - データベースWorkflow設定","会社名からドメインを検索 - Google Workflow設定"]},{"title":"ステップ4：会社名の列をマッピング","paragraphs":["1. 会社名が入力されている列をInput Propertyとして設定します","2. Continue to outputs configurationをクリックします"],"imageAlts":["会社名からドメインを検索 - 入力列をマッピング"]},{"title":"ステップ5：ドメインの出力項目を選択","paragraphs":["1. ⊕アイコンまたはAdd all 3 outputs to collectionを使用して、出力項目をコレクションに追加します。","2. Instant Runをクリックします","ドメイン信頼度とステータスは残してください。すべての行を同等に信頼するのではなく、実行後に結果を選別するために必要です。"],"imageAlts":["会社名からドメインを検索 - 出力設定"]},{"title":"ステップ6：エンリッチメントを一括実行","paragraphs":["最後に、ボタン右側の山形アイコンをクリックして実行設定を行います。以下のオプションから選択できます：","• 最初の10件で実行：本格的に実行する前の結果確認に適しています","• 最初の100件で実行：より大きなサンプルを検証する場合に便利です","• 最初の{X}件で実行：処理する件数を指定できます","• 表示中のすべての項目で実行：リスト全体、またはフィルターを有効にしている場合は現在の表示全体を処理します","ご希望のオプションを選択したら、Run on X itemsをクリックします","数分以内に、検証済みドメインの列が会社名の隣に追加され、次のエンリッチメントに進める状態になります。","ドメイン信頼度で並べ替えまたは絞り込みを行い、「低」「非常に低」およびnot_foundの行を、都市や業界などの追加情報とともにAI Agentへ送ります。"],"imageAlts":["会社名からドメインを検索 - 実行設定","会社名からドメインを検索 - Webサイト検索の実行","会社名からドメインを検索 - データベースの結果","会社名からドメインを検索 - AI Agentの結果"]}],"faq":{"title":"よくあるご質問","items":[{"question":"2つのworkflowオプションにはどのような違いがありますか？","answer":"「企業データセットのみ」では、会社名を厳選された会社名・ドメイン対応データセットと照合します。高速で、1クレジットを使用し、マッチした場合にのみ消費されます。2つ目のオプションでは、データセットでマッチしなかった会社名をGoogleでライブ検索します。1回につき2.5クレジットで、ドメインが見つかったかどうかにかかわらず消費されます。"},{"question":"1つの会社名に複数のドメインがマッチした場合、どれが返されますか？","answer":"最もトラフィックの多いドメインが返されます。この動作がご希望に合わない場合は、対象国による絞り込みが最も効果的です。同順位の判定が行われる前にデータセットを絞り込めます。"},{"question":"「ルート以外のWebサイトを許可」は何をする設定ですか？","answer":"デフォルトでは、DatablistはルートドメインではないGoogle検索結果を除外します。これにより、directory.com/mycompanyのようなディレクトリページがリストに含まれるのを防ぎます。一方で、hostingplatform.com/mycompanypageのように、プラットフォーム上にサイトを持つ実在企業も除外されます。小規模事業者が多いリストでは、この設定を有効にしてください。"},{"question":"Googleの48時間キャッシュはクレジットにどのように影響しますか？","answer":"DatablistはGoogle検索結果を48時間キャッシュします。その期間内に「ルート以外のWebサイトを許可」または「以下のドメインを除外」を変更して再実行すると、キャッシュから結果を取得するため、1行あたり2.5クレジットではなく1クレジットとなります。これにより、この2つの設定を低コストで調整できます。"},{"question":"「Googleのキャッシュ済み結果のみを処理」は何のための設定ですか？","answer":"すでに料金をお支払いいただいたGoogle検索結果のみに処理を限定し、データセットの結果を完全にスキップします。新しいライブ検索にクレジットを使用せず、過去の実行結果を異なる設定で再スコアリングする際にお使いください。"},{"question":"対象国にはどのような形式を使用できますか？","answer":"FRなどのISO 3166 Alpha-2コード、USAなどのAlpha-3コード、またはPortugalなどの英語の正式名称を使用できます。行の国が未入力または無効な場合は、Datablistが全体の対象国設定を適用します。"},{"question":"失敗した行だけを再実行するにはどうすればよいですか？","answer":"ステータス、またはマッチの確度が低い場合はドメイン信頼度で表示を絞り込み、「表示中のすべての項目で実行」を選択します。絞り込まれた表示内の行だけが処理されるため、すでに解決済みの行に再度クレジットを使用することはありません。"},{"question":"代わりにAI Agentを使用するのはどのような場合ですか？","answer":"会社名が曖昧で、通常の検索では利用できない追加情報をお持ちの場合です。データセットとGoogleはいずれも会社名だけを使用します。AI Agentでは都市、業界、説明なども入力でき、それを基に企業を調査し、信頼度スコアと説明を添えてドメインを返します。使用量に応じた料金で1行あたりのコストが高いため、通常の検索で残った項目に限定してご利用ください。"}]}},"corner":{"title":"無料で試す","body":"会社名から検証済みドメインを一括取得できます。すでに38,000人以上がDatablistを利用しています。","label":"無料で試す","close":"CTAを閉じる"}},"EnrichmentWaterfallEmailFinder":{"metadata":{"title":"Waterfall Email Finder - Find Verified Emails in Bulk | Datablist","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once with Datablist's Waterfall Email Finder."},"breadcrumb":"Waterfall Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Email Finder","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once.","trust":["Cheapest Waterfall on the Market","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Find 20 emails free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Maximize email find rates by querying over 20 top data providers in sequential order until a verified address is found.","cards":[{"title":"What you give","items":["First Name & Last Name: Or combined full name property","Company Name or Domain: e.g. acme.com or Acme Corp","Or LinkedIn Profile URL: Direct profile link method"],"links":["See full input reference"]},{"title":"What you get","items":["Work Email Address: The address found for the contact","Email Deliverability Status: verified or unverified for a found address","MX Provider Detected: E.g. Google Workspace, Microsoft 365"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Found Email: Deducted when an email is found","0 Credits if Not Found: Zero wasted spend on misses","Custom API Keys Supported: Bring your own provider accounts"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: First Name, Last Name and Company Domain. Output: Email, Email Status and MX Provider.","groups":["Your data","Added by Waterfall Email Finder"],"headers":["First Name","Last Name","Company Domain","Email","Email Status","MX Provider"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many verified emails you need and we'll show you the cheapest way to get them.","unitsLabel":"Verified emails needed","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Use your own API keys for the Email Finder","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You're only charged 25 credits when an email is actually verified and found, never for a miss. Plan credits renew every month and reset if unused, so they're sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, making them the better fit for one-off spikes in volume.","emailHint":"= {credits} credits at {rate} credits per found email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access, custom API keys, and automation are Growth-only.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist cascades your contact through multiple elite providers until a deliverable email is confirmed.","steps":[{"label":"Step 1","title":"Upload your list","body":"Import any CSV or Excel file with your contacts. All you need is a first name, last name, and company name or domain. Or a LinkedIn Profile URL if you have it."},{"label":"Step 2","title":"The waterfall runs across 20+ providers","body":"Instead of relying on a single email finder, Datablist queries multiple providers in sequence: Icypeas, Enrow, Findymail, Prospeo, Wiza, and more. If one provider does not find a result, the next one tries. This cascading approach increases your hit rate by up to 30% compared to using a single tool."},{"label":"Step 3","title":"Every email verified","body":"Each found address has Email Status information: verified or unverified. Review unverified addresses before sending. No-result and input errors appear in the run-status column. You only pay for emails that are actually found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Business Owner Finder","description":"Pull owner names and titles off company websites.","imageAlt":""},{"title":"Email First Line","description":"Draft a personalised opener for every contact.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Email Finder with complementary data tools in Datablist.","cards":[{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Find direct mobile phone numbers for B2B prospects globally.","imageAlt":""},{"title":"Company Enrichment","description":"Turn a domain into industry, size, location, and founded year.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about email finding rates, billing, and provider waterfall rules."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Email Finder","description":"Run Datablist's Waterfall Email Finder on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Search Method","Select","Find by name + company (default), or by LinkedIn Profile URL"],["Use Full Name","Checkbox","Use a single Full Name input instead of First Name and Last Name"],["Custom Waterfall","Checkbox","Use your own API keys and provider sequence with By Name and Company"],["Waterfall Sequence","Sequence","Define the order of providers and configure API keys for each one"]]},{"title":"Inputs","rows":[["First Name","Text","First input property for the name + company search method"],["Last Name","Text","Second input property for the name + company search method"],["Full Name","Text","Replaces First Name and Last Name when Use Full Name is enabled"],["Company Name or Domain","Text","Third input property for the name + company search method"],["LinkedIn Profile URL","Text","Standard LinkedIn profile URL. Required for LinkedIn mode; optional for name + company. Sales Navigator URLs are unsupported."]]},{"title":"Outputs","rows":[["Email","Email","The work email address found"],["Email Status","Text","Deliverability information for a found email: verified or unverified"],["MX Provider","Text","The contact's email provider, e.g. Google or Microsoft"],["Provider","Text","Available with Custom Waterfall. The email-finding provider that returned the result"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]}},"corner":{"title":"Try it for Free","body":"Find verified emails of all your contacts in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentSmartScraper":{"metadata":{"title":"Smart Scraper - Scrape Webpage Text, Emails and Social Links in Bulk | Datablist","description":"Scrape website text, email addresses, phone numbers, LinkedIn and Instagram links from a list of URLs. 0.10 credits per page, 0.50 with a proxy."},"breadcrumb":"Smart Scraper","tabs":["Overview","How to use"],"hero":{"title":"Smart Scraper","description":"Turn a list of webpage URLs into text, emails, phone numbers, and LinkedIn and Instagram links. A simple scrape costs 0.10 credits per page.","trust":["0.10 Credits per Page","Follows About and Contact Pages","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Smart Scraper reads each webpage on your list and returns its text, email addresses, phone numbers, LinkedIn links and Instagram links. It can follow About us and Contact pages, and use a proxy when a site blocks normal requests.","cards":[{"title":"What you give","items":["URL to Parse: A full URL with http or https, one per row","Follow Pages: Optional: follow the About us and Contact pages","Proxy and Rendering: Optional: proxy on errors, or render JavaScript pages"],"links":["See full input reference"]},{"title":"What you get","items":["Website Texts: Page text with headers and footers skipped, ready for ChatGPT","Emails and Phone Numbers: Comma-separated lists of what is found on the page","Social Links: LinkedIn profiles, LinkedIn company pages and Instagram profiles"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 simple pages cost 1,000 credits","0.50 Credits with a Proxy: With proxy fallback you pay it only for pages that need it","2 Credits with Render HTML: For pages rendered by JavaScript"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: URL to parse. Output: 6 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Smart Scraper"],"headers":["URL to parse","Website Texts","Email Addresses","Phone Numbers","LinkedIn Profiles","LinkedIn Company Pages","Instagram Profiles"],"caption":"Sample input and output.","scrollHint":"7 columns, scroll →","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping mode?","modes":["Basic scraping (0.1 credits per page)","With a proxy (0.5 credits per page)","With Render HTML (2 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Basic scraping costs 0.10 credits per page, proxy scraping 0.50 credits, and Render HTML 2 credits. A cached page costs 0.05 credits. This estimate counts each listed URL once at your selected rate. Additional About/Contact pages and automatic rendering can add to the total; cached results can reduce it. Plan credits follow your billing cycle. Top-up credits never expire and are used after subscription credits are exhausted.","scraperHint":"= {credits} credits at {rate} credits per page","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add webpage URLs and get clean data columns back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one webpage URL per row. Use the full URL with http or https, whether it is a company site, a directory or a landing page. Remove duplicate URLs first, so you do not scrape the same page twice."},{"label":"Step 2","title":"Choose what to extract","body":"Pick text, emails, phone numbers, LinkedIn links and Instagram profiles, and decide whether to follow the About us and Contact pages. Turn on the proxy for sites that block normal requests. Additional About/Contact pages have their own scrape costs."},{"label":"Step 3","title":"Get clean columns back","body":"Each URL returns its data as columns, with several results as comma-separated lists. Send the text to ChatGPT to classify or summarize each site, or filter the contact columns for outreach."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Video Links from Webpage","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Case Study Finder","description":"Find case studies on a company website.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Smart Scraper with complementary data tools in Datablist.","cards":[{"title":"Instagram Profile Scraper","description":"Scrape public Instagram profile data in bulk.","imageAlt":""},{"title":"Impressum Scraper","description":"Extract company details from German Impressum pages.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, About pages and text for ChatGPT."},"guide":{"hero":{"title":"How to use Datablist's Smart Scraper","description":"Run Datablist's Smart Scraper on your own list in 6 steps, no code needed. 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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. 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. 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Reused cached results are not charged again."],["Custom Waterfall","Checkbox","Use your own provider API keys and customize the provider order."],["Waterfall Sequence","Sequence","With Custom Waterfall, add Enrow, Prospeo, Findymail, Wiza or Full Enrich with an API key for each provider."]]},{"title":"Inputs","rows":[["LinkedIn Profile","Text","Person's Profile URL should be in the format of https://linkedin.com/in/xxx. This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Phone Number","Phone","Phone Number found in international format (with country prefix)."],["Country","Text","Alpha-2 country code for the phone Number. See Wikipedia page for more information on ISO 3166-1 alpha-2."],["Provider","Text","Available with Custom Waterfall. Identifies which phone-finding provider returned the result."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]}},"corner":{"title":"Try it for Free","body":"Find direct phone numbers from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentWaterfallPersonalEmailFinder":{"metadata":{"title":"Waterfall Personal Email Finder - Find Personal Emails in Bulk | Datablist","description":"Find personal email addresses from LinkedIn profile URLs in bulk. Datablist runs several email providers in sequence and charges 75 credits only for each email found."},"breadcrumb":"Waterfall Personal Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Personal Email Finder","description":"Turn a list of LinkedIn profile URLs into personal email addresses in bulk. Several providers run in sequence, and you only pay for the emails found.","trust":["75 Credits per Email Found","LinkedIn URL to Personal Email","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Waterfall Personal Email Finder takes a LinkedIn profile URL and searches several email providers one after the other. It stops at the first personal email it finds, so you pay only for results.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: Standard format, linkedin.com/in/name","One URL per row: Import a CSV or Excel file","No Sales Navigator URLs: Standard profile URLs only"],"links":["See full input reference"]},{"title":"What you get","items":["Email: A personal email address when found","Run Status: No result, invalid data, or missing data","Credits Used: Shown in the summary after every run"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["75 Credits per Email Found: Charged only when an email is returned","0 Credits if No Result: Empty rows cost nothing","About $0.075 per Email: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: Email.","groups":["Your data","Added by Waterfall Personal Email Finder"],"headers":["LinkedIn Profile URL","Email"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many personal emails you expect to find and we'll show you the cheapest way to pay for them.","unitsLabel":"Personal emails found","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You are charged 75 credits only when a personal email is found, never for an empty row. The estimate assumes every unit you enter is a found email, so a run with fewer finds costs less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","emailHint":"= {credits} credits at {rate} credits per found personal email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"One LinkedIn URL in, one personal email out, with several providers searching behind it.","steps":[{"label":"Step 1","title":"Upload your LinkedIn URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Use standard profile links such as linkedin.com/in/jane-doe. Sales Navigator links are not supported."},{"label":"Step 2","title":"Providers search in sequence","body":"Datablist asks the first provider for a personal email. If nothing comes back, the next provider tries, and the search continues until a match is confirmed or the sequence ends. One provider rarely covers everyone, so the sequence raises your chances."},{"label":"Step 3","title":"Get one email column","body":"Map the LinkedIn column, add the Email output and run. Rows with no personal email are marked as no result and are not charged. You pay 75 credits for each email found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Employee & Talent Finder","description":"Find employees at a list of companies.","imageAlt":""},{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Email First Line","description":"Write an email first line from a LinkedIn description.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Personal Email Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Reach anyone you want by using 20+ email finders.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Get phone numbers from a LinkedIn profile URL and pay only for results.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about accuracy, billing and outreach rules for personal emails."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Personal Email Finder","description":"Run Datablist's Waterfall Personal Email Finder on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["LinkedIn Profile","Text","Person's Profile URL should be in the format of https://linkedin.com/in/xxx . This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Email","Email","Email Found"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]}},"corner":{"title":"Try it for Free","body":"Find personal emails from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentLinkedInProfileScraper":{"metadata":{"title":"LinkedIn Profile Scraper - Extract LinkedIn Profile Data in Bulk | Datablist","description":"Turn a list of LinkedIn or Sales Navigator profile URLs into full contact records in bulk. No account connection required, so your LinkedIn profile is never at risk."},"breadcrumb":"LinkedIn Profile Scraper","tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Profile Scraper","description":"Turn a list of LinkedIn profile URLs into full contact records. Your own account is never connected, so it can never be flagged.","trust":["No Login Required","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Scrape 20 profiles free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The LinkedIn Profile Scraper pulls public profile data from any LinkedIn or Sales Navigator URL. It reads the public page directly, so Datablist never needs your LinkedIn credentials.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: e.g. linkedin.com/in/janedoe","Or a Sales Navigator URL: e.g. linkedin.com/sales/lead/xxxx","Nothing else: No name, no company, no login"],"links":["See full input reference"]},{"title":"What you get","items":["Identity & Location: Name, headline, summary, city, state, country","Work History: Up to 10 experiences with titles, dates, and descriptions","Current Company Data: Website, industry, employee range, and description"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Profile: Fresh data pulled live from LinkedIn","20 Credits with Cached Profiles: Enable cached results when available; fresh fallback can cost 25","Charged per Profile: Not per field, however many you return"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: 42 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by LinkedIn Profile Scraper"],"headers":["LinkedIn Profile URL","Full Name","Headline","Title (current job)","Company Name (current job)","Location","First Name","Last Name","Summary","City","State","Country","Country Name","Employment Type (current job)","Description (current job)","Start Date (current job)","End date (current job)","Location (current job)","Company page URL (current job)","Company website (current job)","Company description (current job)","Company Industry (current job)","Company employee range (current job)","Title (job #2)","Employment Type (job #2)","Description (job #2)","Start Date (job #2)","End date (job #2)","Company Name (job #2)","Title (job #3)","Employment Type (job #3)","Description (job #3)","Start Date (job #3)","End date (job #3)","Company Name (job #3)","School (education)","Degree (education)","Field of Study (education)","Start Date (education)","End date (education)","Languages","Connections","LinkedIn Profile URL Normalized"],"caption":"Sample input and output.","scrollHint":"43 columns, scroll →","footer":"Scroll sideways to see all 43 columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many LinkedIn profiles you need to scrape and we'll show you the cheapest way to get them.","unitsLabel":"Profiles to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"cachedLabel":"Accept cached profiles (20 credits instead of 25)","resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. A profile costs 25 credits for fresh data, or 20 if you allow cached profiles. Unlike pay-per-result enrichments, you are charged for every profile the scraper processes, so clean malformed URLs out of your list before a large run. Plan credits renew every month and reset if unused, so they are sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, which makes them the better fit for one-off spikes.","profileHint":"= {credits} credits at {rate} credits per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist loads each public LinkedIn page, parses it, and writes the fields you picked straight into your collection.","steps":[{"label":"Step 1","title":"Upload your profile URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Standard profile URLs and Sales Navigator lead URLs both work, and you can mix them in the same column."},{"label":"Step 2","title":"Datablist reads the public page","body":"Datablist loads and parses each public profile itself. It never asks for your LinkedIn credentials and never acts as your account, which is why running it cannot get your profile restricted."},{"label":"Step 3","title":"Up to 40 fields land in your list","body":"Choose the outputs you want and Datablist writes them into new columns: name, headline, summary, location, work history, education, and firmographics for the current employer."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made workflows built around LinkedIn profile data.","cards":[{"title":"Employee & Talent Finder","description":"Find people at a company, filtered by role.","imageAlt":""},{"title":"Founders Finder","description":"Surface the founders behind a list of companies.","imageAlt":""},{"title":"Company Name to LinkedIn","description":"Resolve company names to their LinkedIn pages.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Scrape LinkedIn Leads","imageAlt":"How To Scrape LinkedIn Leads"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the LinkedIn Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from a LinkedIn URL using 20+ providers at once.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Unlock direct mobile numbers from the same LinkedIn profile URLs.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public company data from LinkedIn company page URLs.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about account safety, billing, and the data you get back."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Profile Scraper","description":"Run Datablist's LinkedIn Profile Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Doesn’t Risk Your Account","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Include LinkedIn Internal ID (URN)","Checkbox","Return the internal LinkedIn identifier, used to build Sales Navigator URLs. Requires fresh data; unavailable with Accept cached profiles"],["Include Pictures","Checkbox","Return the profile picture and company logo URLs. These links expire quickly. Requires fresh data; unavailable with Accept cached profiles"],["Accept cached profiles","Checkbox","Allow cached results when available at 20 credits. Fresh fallback results can cost 25. Cannot be combined with Include LinkedIn Internal ID (URN) or Include Pictures"],["Experiences to return","Select","How many work experiences to return: 3, 5, or 10. Defaults to 3"],["Educations to return","Select","How many education entries to return: 1, 3, or 5. Defaults to 1"]]},{"title":"Inputs","rows":[["Person's LinkedIn Profile","Text","The profile URL. Works with linkedin.com/in/xxx and Sales Navigator lead URLs"]]},{"title":"Outputs","rows":[["LinkedIn Profile URL Normalized","Url","The clean public profile URL, in the format linkedin.com/in/xxx"],["First Name / Last Name / Full Name","Text","The name on the profile, split and combined"],["Headline","Text","The tagline shown under the name on the profile"],["Summary","Text","The longer About blurb written by the person"],["City / State / Country / Country Name","Text","Location fields, with the country as a 2-letter ISO code and in words"],["Location","Text","The full location string as shown on the profile"],["Title (Current or last experience)","Text","Job title of the current or most recent role"],["Description (Current or last experience)","Text","The role description, where the profile has one"],["Start Date / End date (Current or last)","Date","Role dates. The end date is empty while the role is still active"],["Company Name (Current or last experience)","Text","Employer name on the current or most recent role"],["Company page URL / website","Text","The employer's LinkedIn page and its own website"],["Company description / industry / employee range","Text","Firmographics for the current employer, e.g. 11-50"],["Title, dates and company (Experience #2 to #10)","Text","Past roles, up to the number set in Experiences to return"],["Education entries","Text","School, degree, and dates, up to the number set in Educations to return"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Find LinkedIn Profiles From a Name","imageAlt":"How To Find LinkedIn Profiles From a Name"}]}},"corner":{"title":"Try it for Free","body":"Scrape every detail from your LinkedIn profile URLs. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentCompanyNameCleaner":{"metadata":{"title":"Company Name Cleaner - Clean Company Names in Bulk | Datablist","description":"Clean messy company names in bulk with AI. Remove LLC, Inc. and GmbH, fix casing and standardize names for outreach and your CRM. 0.5 credits per name."},"breadcrumb":"Company Name Cleaner","tabs":["Overview","How to use"],"hero":{"title":"Company Name Cleaner","description":"Fix messy company names in bulk. AI removes legal forms like LLC and GmbH, fixes casing and standardizes every name.","trust":["0.5 Credits per Name","Removes Legal Form","Perfect for Outreach"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Clean 1,000 company names free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Company Name Cleaner uses AI to turn raw company names into short, conversational names ready for outreach. It understands context instead of matching a fixed list of suffixes.","cards":[{"title":"What you give","items":["Company Name: The column with your messy names","Keep Legal Forms: Optional setting, off by default","Any language: Handles GmbH, SAS, Inc. and Ltd."],"links":["See full input reference"]},{"title":"What you get","items":["Cleaned Company Name: A normalized name for outreach or your CRM","Fixed casing: BESTFOODserviceGmbH becomes Bestfood Service","Company Name Confidence: Optional High, Medium, Low, or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.5 Credits per Name: 1,000 names cost 500 credits","Cached Names Cost 0: Matching requests reuse a cached result","Failed Rows Cost 0: Only successful uncached names use credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Outputs: Cleaned Company Name and optional Company Name Confidence.","groups":["Your data","Added by Company Name Cleaner"],"headers":["Company Name","Cleaned Company Name","Company Name Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many company names you need to clean and we'll show you the cheapest way to clean them.","unitsLabel":"Company names to clean","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"The Company Name Cleaner costs 0.5 credits per successful uncached name. The estimate counts every name you enter once. Matching cached requests cost 0 credits, so lists with repeated names can cost less. Failed rows cost 0 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","cleanerHint":"= {credits} credits at {rate} credits per name","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Upload the names, run the cleaner and get one clean column back.","steps":[{"label":"Step 1","title":"Upload your company names","body":"Import a CSV or Excel file and pick the column that holds the messy names. Your other columns stay untouched."},{"label":"Step 2","title":"AI cleans every name","body":"The AI removes legal forms such as LLC, Inc., GmbH and SAS, splits joined words and fixes casing. It reads the whole name, so a brand like Boston Consulting Group keeps its core name."},{"label":"Step 3","title":"Keep or remove legal forms","body":"One setting decides whether legal forms stay. Remove them for outreach, or keep them when your CRM needs the entity type. Matching cached requests cost 0 credits."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Clean company name","description":"Clean and standardize company names.","imageAlt":""},{"title":"Clean job title","description":"Remove unnecessary characters and normalize case.","imageAlt":""},{"title":"Correct capitalization","description":"Fix the capitalization of sentences and proper nouns.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Company Name Cleaner with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or the reverse.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes removed and casing fixed. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about company name cleaning, accuracy and credits."},"guide":{"hero":{"title":"How to use Datablist's Company Name Cleaner","description":"Run Datablist's Company Name Cleaner on your own list in 6 steps, no code needed. 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. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Find Company Domain from Company and Employee Names","description":"Find a company's official domain using its name and an employee's full name to identify and verify the correct company.","imageAlt":"Find Company Domain from Company and Employee Names"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Search with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Search","description":"Find people at a company by job title and seniority.","imageAlt":"Waterfall People Search"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Search","description":"Run Datablist's Apollo.io People Search on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Get your API key on developer.apollo.io/keys."],["Person Titles","Text","Comma-separated list of person's titles. For example: sales director, engineer manager. The query will return results matching ANY of the titles passed in. You must define at least one Person Title or Person Seniority."],["Titles Fallback 1","Text","Search other job titles when no profile matches the main title list. Optional."],["Titles Fallback 2","Text","Search other job titles when no profile matches the \"Titles Fallback 1\" list. Optional."],["Titles Fallback 3","Text","Search other job titles when no profile matches the \"Titles Fallback 2\" list. Optional."],["Person Seniority","Select (multiple)","Select one or more seniority levels. Apollo returns people matching any selected level. You must define at least one Person Title or Person Seniority."],["Number of persons returned per search","Number","Default to 1. Max 3."]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain. Ex: google.com"],["Company name (optional)","Text","Company name is used as fallback if the company domain has yielded no result. This can be the case with companies that have several domains (.fr, .es, .com, etc.)."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","Returned by Apollo."],["Job Start Date #1","Text","Returned by Apollo."],["Seniority #1","Text","Returned by Apollo."],["City #1","Text","Returned by Apollo."],["Country #1","Text","Returned by Apollo."],["Company LinkedIn Page #1","Url","Returned by Apollo."],["Apollo Person ID #1","Text","Unique Apollo identifier for the person."],["Work Email Address #1","Email","Work email returned by Apollo Bulk People Enrichment."],["Email Status #1","Text","Apollo verification status for the work email."],["Email Domain Catch-all #1","Boolean","Whether Apollo identifies the email domain as catch-all."],["Email Domain Catch-all Verdict #1","Text","Apollo's catch-all verdict for the email domain."],["Email Confidence #1","Number","Apollo confidence score for an extrapolated email."],["Profile Photo #1","Url","Profile photo URL."],["Twitter/X Profile #1","Url","Twitter or X profile URL."],["GitHub Profile #1","Url","GitHub profile URL."],["Facebook Profile #1","Url","Facebook profile URL."],["State/Region #1","Text","Person's state or region."],["Formatted Address #1","Text","Person's formatted location or address."],["Street Address #1","Text","Person's street address when available."],["Postal Code #1","Text","Person's postal code."],["Time Zone #1","Text","Person's time zone."],["Departments #1","Text","Apollo department classifications for the person."],["Subdepartments #1","Text","Apollo subdepartment classifications for the person."],["Functions #1","Text","Apollo job-function classifications for the person."],["Employment History #1","LongText","Complete employment history returned by Apollo, formatted as JSON."],["Apollo Organization ID #1","Text","Unique Apollo identifier for the current organization."],["Organization Name #1","Text","Name of the person's current organization."],["Intent Strength #1","Text","Apollo intent-strength value when available."],["Intent Available #1","Boolean","Whether Apollo exposes intent data for the person."],["Company Domain #1","Text","Primary domain of the current organization."],["Company Website #1","Url","Website URL of the current organization."],["Company Twitter/X #1","Url","Twitter or X URL of the current organization."],["Company Facebook #1","Url","Facebook URL of the current organization."],["Company AngelList #1","Url","AngelList URL of the current organization."],["Company Crunchbase #1","Url","Crunchbase URL of the current organization."],["Company Logo #1","Url","Logo URL of the current organization."],["Company Phone #1","Text","Main phone number of the current organization."],["Company Founded Year #1","Number","Year the current organization was founded."],["Company Industry #1","Text","Primary industry of the current organization."],["Company Industries #1","Text","Industries associated with the current organization."],["Company Secondary Industries #1","Text","Secondary industries associated with the current organization."],["Company Keywords #1","LongText","Keywords associated with the current organization."],["Company Estimated Employees #1","Number","Apollo's estimated employee count for the current organization."],["Company Revenue #1","Number","Numeric revenue estimate for the current organization."],["Company Revenue (Formatted) #1","Text","Formatted revenue estimate returned by Apollo."],["Company Headcount Growth (6 Months) #1","Number","Six-month organization headcount growth."],["Company Headcount Growth (12 Months) #1","Number","Twelve-month organization headcount growth."],["Company Headcount Growth (24 Months) #1","Number","Twenty-four-month organization headcount growth."],["Company Alexa Ranking #1","Number","Alexa ranking returned by Apollo."],["Company Formatted Address #1","Text","Formatted address of the current organization."],["Company Street Address #1","Text","Street address of the current organization."],["Company City #1","Text","City of the current organization."],["Company State/Region #1","Text","State or region of the current organization."],["Company Postal Code #1","Text","Postal code of the current organization."],["Company Country #1","Text","Country of the current organization."],["Company Languages #1","Text","Languages associated with the current organization."],["Company NAICS Codes #1","Text","NAICS industry classification codes."],["Company SIC Codes #1","Text","SIC industry classification codes."],["Company Stock Symbol #1","Text","Public stock symbol of the current organization."],["Company Stock Exchange #1","Text","Public stock exchange of the current organization."],["Company Retail Location Count #1","Number","Number of retail locations reported by Apollo."],["Total Query Results","Number","The total number of profiles maching the query"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find the right people at a list of companies with your own Apollo key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Search"},"EnrichmentApolloPeopleEnrichment":{"metadata":{"title":"Apollo.io People Enrichment - Enrich Contacts With Apollo in Bulk | Datablist","description":"Enrich contacts with the Apollo.io People Enrichment API from a CSV or Excel file. Get LinkedIn URL, job title, email and phone number. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Enrichment","description":"Enrich a list of contacts with Apollo: LinkedIn URL, job title, email, phone number and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Match by Email or LinkedIn","Social Profiles and Location"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Enrichment enriches contacts with the Apollo.io API. Provide a LinkedIn URL or an email, or a name with a company, and it returns the profile details Apollo has.","cards":[{"title":"What you give","items":["A LinkedIn URL or an Email: Either one is enough on its own","Or a Name and a Company: First and last name, or full name, with a company domain or name","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Contact Details: Email, phone number, title, seniority and LinkedIn URL","Profiles and Location: Twitter or X, Facebook, city, state and country","Company Details: Company name, LinkedIn page and website"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Full Name and Company Domain. Output: Email from Apollo, Title, LinkedIn URL and Seniority.","groups":["Your data","Added by Apollo.io People Enrichment"],"headers":["Full Name","Company Domain","Email from Apollo","Title","LinkedIn URL","Seniority"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it a LinkedIn URL, an email, or a name with a company, and get the contact details back.","steps":[{"label":"Step 1","title":"Import your contacts","body":"Upload a CSV or Excel file with your contacts. The most reliable inputs are a LinkedIn profile URL or an email. A first name, last name and company domain also work."},{"label":"Step 2","title":"Paste your key and map inputs","body":"Paste your Apollo API key and map the columns that identify each person. Skip the inputs you do not have, since one strong identifier is enough. Test on the first 10 rows before you run the whole list."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each contact and writes the details into new columns. Filter the rows with empty output columns to find the people Apollo could not match. Fix the source data and rerun those rows."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Enrichment with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email, a LinkedIn URL or a name.","imageAlt":"Waterfall People Enrichment"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Enrichment","description":"Run Datablist's Apollo.io People Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["First Name","Text","Person's first name. Ex: Tim"],["Last Name","Text","Person's last name. Ex: Zheng"],["Full Name","Text","Person's full name (if you don't have the first name and last name split). Ex: Tim Zheng. We recommend using the First Name and Last Name fields instead for better results."],["Email","Email","Person's email (optional). Ex: example@domain.com. If you have the person's email, you don't need to map the other input fields."],["LinkedIn Url","Text","Person's LinkedIn URL. If you provide the LinkedIn URL, do not map the name or other fields. This gives the best results."],["Company Name","Text","Person's company name (optional). Ex: Datablist"],["Company Domain","Text","Person's company domain (optional). Ex: datablist.com. Recommended over just the company name."]]},{"title":"Outputs","rows":[["Email from Apollo","Email","Person's email"],["Phone Number","Text","The matched company's business phone number, when available. This integration does not enable mobile-phone reveal."],["Title","Text","Person's job title. Ex: Sales Executive, CEO, etc."],["Seniority","Text","Person's seniority. Ex: entry, vp, c_suite"],["LinkedIn URL","Url","Person's LinkedIn url."],["Twitter URL","Url","Person's Twitter url."],["Facebook URL","Url","Person's Facebook url."],["Github URL","Url","GitHub URL output. Currently empty in this integration."],["State","Text","The person's state or region."],["City","Text","The person's city."],["Country","Text","The person's country."],["Company Name from Apollo","Text","Person's company name."],["Company LinkedIn URL","Url","Person's company LinkedIn url."],["Company Website","Url","Person's company website."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]}},"corner":{"title":"Try it for Free","body":"Enrich contacts with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Enrichment"},"EnrichmentApolloCompanyEnrichment":{"metadata":{"title":"Apollo.io Company Enrichment - Enrich Domains With Apollo in Bulk | Datablist","description":"Enrich company domains with the Apollo.io Organization Enrichment API from a CSV or Excel file. Get industry, employees, address and social URLs. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io Company Enrichment","description":"Enrich a list of company domains with Apollo: industry, employees, address, social URLs and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","20 Data Fields per Company","Social URLs and Address"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io Company Enrichment enriches company domains with the Apollo.io Organization Enrichment API. Give it a domain and it returns the social URLs, industry, size, address and more.","cards":[{"title":"What you give","items":["A Company Domain: One domain per row, for example google.com","Your Apollo API Key: Pasted into the settings","No Other Settings: Map the domain, choose outputs and run"],"links":["See full input reference"]},{"title":"What you get","items":["Company Basics: Name, website, description, industry and founded year","Size, Phone and Address: Employees, phone number and the full address","Social Links: LinkedIn, Twitter or X, Facebook, Crunchbase and AngelList"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Domain. Output: Company Name, Company Industry, Estimated Number of Employees, City and Country.","groups":["Your data","Added by Apollo.io Company Enrichment"],"headers":["Domain","Company Name","Company Industry","Estimated Number of Employees","City","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io Company Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and get firmographic data back.","steps":[{"label":"Step 1","title":"Import your domains","body":"Upload a CSV or Excel file with one company domain per row. A clean domain, such as google.com, is all the enrichment needs to find a company."},{"label":"Step 2","title":"Paste your key and map the domain","body":"Paste your Apollo API key and map the Domain input to your domain column. There are no other settings to configure, so you can go straight to choosing outputs. Start with a test on the first 10 rows."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each domain and writes the company data into new columns. Filter the rows with empty output columns to find the domains Apollo could not match. Fix those domains and run the rows again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data extraction from website","description":"Visit a website, search for the About Page, and extract information about the company (summary, industry, number of employees) and its found social links.","imageAlt":"Company Data extraction from website"},{"title":"Company enrichment from company name","description":"Find and enrich a company using its name. Prioritizes fast exits when no reliable online presence exists.","imageAlt":"Company enrichment from company name"},{"title":"Get Company Sector","description":"Figure out the company's sector using the LLM knowledge, a company database, or by checking the website.","imageAlt":"Get Company Sector"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io Company Enrichment with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company Enrichment"},{"title":"Identify Technologies on Websites","description":"Find the technology stack of any website.","imageAlt":"Identify Technologies on Websites"},{"title":"LinkedIn Company Page Scraper","description":"Scrape company data from LinkedIn company pages.","imageAlt":"LinkedIn Company Page Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io Company Enrichment","description":"Run Datablist's Apollo.io Company Enrichment on your own list in 8 steps, no code needed. 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Ex: https://app.apollo.io/#/accounts/6758625db51a1202d1948b97"],["Twitter URL","Url","The company Twitter url."],["Facebook URL","Url","The company Facebook url."],["Crunchbase URL","Url","The company Crunchbase url."],["AngelList URL","Url","The company AngelList url."],["Company Phone","Text","The company Phone Number"],["Company Industry","Text","The company industry."],["Company Description","LongText","The company description."],["Founded Year","Number","The year the company was founded."],["Estimated Number of Employees","Number","The estimated number of employees."],["Company Full Address","Text","The full company postal address"],["Street Address","Text","The street address component from the full address"],["City","Text","The city component from the full address"],["State","Text","The state component from the full address"],["Postal Code","Text","The Postal Code component from the full address"],["Country","Text","The company country."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]}},"corner":{"title":"Try it for Free","body":"Enrich company domains with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io Company Enrichment"},"EnrichmentAskClaudeAI":{"metadata":{"title":"Ask Anthropic/Claude AI - Run Claude on Every CSV or Excel Row | Datablist","description":"Run a Claude prompt on every row of a CSV or Excel file. 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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. It searches Google, opens websites, reads them, and fills in your columns for every row in your list."},"tabs":["Overview","How to use"],"hero":{"title":"AI Research Agent","description":"Give the agent a goal and the fields you want back. It searches Google, reads the pages it finds, and fills in every row.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["Ready-Made Templates","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The AI Research Agent handles the work a database cannot: reading the live web. It searches Google, opens the pages it finds, understands what is on them, and returns the exact fields you asked for.","cards":[{"title":"What you give","items":["A Prompt: Plain English. Type / to pull in a column","Your Expected Outputs: Name each field you want back","Or a Ready-Made Template: Business Owner Finder and others, no prompt to write"],"links":["See full input reference"]},{"title":"What you get","items":["Your Own Output Fields: Whatever you defined, structured into columns","Confidence Score: Optional model assessment from 0 to 100; spot-check results against sources","Run Status: Says why a row came back empty"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Usage-Based Credits: Roughly 3 to 25 credits per row at default settings","Charged per Run, Not per Result: The agent does the work even when it finds nothing","Max Iterations Limits Research: Default 7 iterations per row; more iterations can cost more"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name and Website. Output: Pricing Model, Free Plan and Confidence Score.","groups":["Your data","Added by AI Research Agent"],"headers":["Company Name","Website","Pricing Model","Free Plan","Confidence Score"],"caption":"Pricing Model and Free Plan are example fields. You define your own output fields in the prompt.","scrollHint":"","footer":"Pricing Model and Free Plan are example fields. You define your own output fields in the prompt."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"The agent bills for the work it does, so this sizes your plan against the top of the range rather than the average.","unitsLabel":"Rows to research","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work, and why this is a range","creditsBody":"Unlike a fixed-price enrichment, the agent bills for what it actually does on each row: every Google search, every page it opens, every block of text it reads. A row it resolves from the first search result is cheap. A row that takes it through five pages is not. On a typical task at default settings that works out to somewhere between 3 and 25 credits per row, and credits are spent even on rows where it finds nothing. Max iterations limits research depth: raising it lets the agent dig deeper and raises the top of the estimated range with it. It is not a fixed credit cap. Treat the number as sizing guidance, not a quote. The range models the default model and one rendered scrape per row when Render HTML is enabled; more page visits or a different model can change the cost. Run a hundred rows first and read your real per-row cost off that. Plan credits renew monthly and reset if unused. Top-up credits never expire.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"settingsLabel":"Agent settings","iterationsLabel":"Max iterations per row","iterationOptions":["3 steps (tight, for simple lookups)","7 steps (default)","10 steps","15 steps"],"renderLabel":"Render HTML before scraping (+2 credits per scrape; estimates one scrape per row)","agentHint":"= {low} to {high} credits, at roughly {lowRate} to {highRate} credits per row"},"process":{"eyebrow":"The Process","title":"How it Works","description":"The agent runs your instruction once per row, on the live web, and writes structured results back into your columns.","steps":[{"label":"Step 1","title":"Tell it what you want","body":"Write the goal in plain English and pull your columns in by typing / and picking the property, for example: visit /Website and find the name and title of the owner. Or pick a ready-made template and skip the prompt entirely."},{"label":"Step 2","title":"It searches, opens, and reads","body":"For each row the agent runs Google searches, follows the links it finds, and reads the pages. Because it works from meaning rather than fixed selectors, it keeps working when a site's layout changes."},{"label":"Step 3","title":"Structured fields, not a blob of text","body":"You name the outputs up front, so results come back as real columns you can filter and sort. You can also add a confidence score from 0 to 100, and review run status when something went wrong."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made agent templates. 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は、データを扱うすべての方のためのツールです。初心者からパワーユーザーまで、どなたにもお使いいただけます。スプレッドシートのインターフェースと学習リソースにより、すぐに成果を上げていただけます。","INDUSTRIES_TITLE":"どの業界・チームで Datablist は活用されていますか？","INDUSTRIES_TEXT":"お客様の多くは営業、EC 運用、SaaS のグロース、ファイナンス領域ですが、特定の業界やチームに限定はしておりません。どのような組織でもご活用いただけます。","INTEGRATIONS_TITLE":"Datablist はどのようなツールと連携できますか？","INTEGRATIONS_TEXT":"Datablist は多くの CRM と連携でき、スクレイパーや email finder などの複数のサブスクリプションを削減・置き換えられます。さらに、当社の AI リサーチエージェントやデデュープアシスタントなど、他のプラットフォームにはないツールもご提供いたします。"},"FeatAIAgent":{"PAGE_TITLE":"AIエージェント：Webリサーチとデータ抽出を自動化","PAGE_DESC":"DatablistのAIエージェントを使えば、あらゆるウェブサイトをスクレイプし、Google検索を自動化し、シンプルな prompt 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複雑なページにも対応","STEP_3_DESC":"複数ページのリストをスクレイプしたいですか？ページネーションを有効にするだけです。全ページからデータを収集するために、エージェントが賢く「次へ」を見つけてクリックします。","STEP_4_TITLE":"4. データを抽出して構造化","STEP_4_DESC":"prompt に基づき、指定のデータポイントを抽出し、事前に設定した列にきれいに出力します。","USE_CASES_TITLE":"リード獲得から市場インテリジェンスまで：可能性は無限大","USE_CASE_LEAD_GEN_TITLE":"リード獲得を加速","USE_CASE_LEAD_GEN_DESC":"大規模に関連性の高いパーソナライズ要素を発見します。企業のケーススタディをスクレイプし、「About Us」ページでキーパーソンを特定したり、ドイツの「Impressum」ページから連絡先を抽出したりできます。","USE_CASE_LEAD_GEN_LINK":"ケーススタディをスクレイプする方法を見る","USE_CASE_ECOMMERCE_TITLE":"Eコマース & 商品スクレイピング","USE_CASE_ECOMMERCE_DESC":"複数のカテゴリーページにまたがる場合でも、あらゆるEコマースストアから商品名、価格、仕様、説明を抽出します。","USE_CASE_ECOMMERCE_LINK":"Eコマースサイトのスクレイピング方法を学ぶ","USE_CASE_REVIEWS_TITLE":"レビューとセンチメント分析","USE_CASE_REVIEWS_DESC":"TrustpilotやTrusted Shopsなどのレビュー・プラットフォームをスクレイピングして顧客フィードバックを集約。センチメントを分析し、共通テーマを特定して市場を把握します。","USE_CASE_REVIEWS_LINK":"Trustpilotをスクレイプするガイド","USE_CASE_RESEARCH_TITLE":"自動化された市場調査","USE_CASE_RESEARCH_DESC":"スプレッドシートの各行に対する繰り返しのGoogle検索を自動化します。競合ニュースをモニタリングし、業界トレンドを追跡し、レポートのためのデータ収集を手作業なしで行えます。","USE_CASE_RESEARCH_LINK":"Google検索を自動化する方法を学ぶ","VIDEO_TITLE":"AIエージェントの実演を見る","VIDEO_TEXT":"AIエージェントがドイツのウェブサイト一覧を巡回し、「Impressum」ページを見つけ、構造化された連絡先情報を抽出する様子をご覧ください—従来のスクレイパーでは不可能なタスクです。","TALK_TO_US_TEXT":"ウェブリサーチを自動操縦にする準備はできていますか？AIエージェントをお試しいただき、非構造化Webデータを実用的なインサイトへ変換し始めましょう。","CSV_EDITOR_DESCRIPTION":"オンラインでCSVファイルを管理できるモダンなCSVエディタ。ブラウザ上でデータを開いて編集できます。","LEAD_LIST_BUILDING":"リードリストを作成・クリーン化・エンリッチ","LEAD_BUILDING_DESCRIPTION":"大量のリードリストを深掘りするための最適なツールです。整理・エンリッチし、最適な見込み客を見つけます。"},"FeatAIEditing":{"PAGE_TITLE":"AI Editing: プロンプトでExcel・CSVタスクを自動化","PAGE_DESC":"複雑な数式やマクロは不要に。DatablistのAI 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AI Editingを開く","STEP_2_DESC":"「Edit」メニューから「AI Editing」を選択します。プロンプトを入力するインターフェースが開き、ここで魔法が始まります。","STEP_3_TITLE":"3. プロンプトを作成","STEP_3_DESC":"実行したいタスクを説明します。データを参照するには /ColumnName と入力して変数を使用できます。必要なだけ具体的に記述してください。","STEP_4_TITLE":"4. プレビューして実行","STEP_4_DESC":"AIがスクリプトを生成し、変更結果のライブプレビューを表示します。問題なければ「Run」をクリックして、リスト全体を即時に処理します。","USE_CASES_TITLE":"強力な活用例","USE_CASE_FIND_REPLACE_TITLE":"一括検索・置換","USE_CASE_FIND_REPLACE_DESC":"1つの指示でデータセット全体の数百項目を置換。カテゴリの標準化、よくある誤字の修正、商品情報の更新に最適です。","USE_CASE_FIND_REPLACE_LINK":"一括検索・置換の詳細を見る","USE_CASE_CLEANING_TITLE":"高度なデータクレンジング","USE_CASE_CLEANING_DESC":"会社名から法的接尾辞（LLC、Inc.）を除去したり、役職名や住所を標準化するなど、複雑なデータのクレンジングと正規化を行います。","USE_CASE_CLEANING_LINK":"会社名のクレンジング方法を見る","USE_CASE_SCORING_TITLE":"カスタムリード＆データスコアリング","USE_CASE_SCORING_DESC":"データの複数条件に基づく高度なスコアリングモデルを作成できます。ポイント付与、リードのランク付け、リストの優先順位付けを、数式なしで実現します。","USE_CASE_SCORING_LINK":"AIでリードをスコアリングする方法を学ぶ","USE_CASE_TRANSFORM_TITLE":"複雑なデータ変換","USE_CASE_TRANSFORM_DESC":"テキストの特定部分の抽出から条件ロジックの実行まで、標準的なスプレッドシート関数では困難な変換もAI Editingが処理します。","USE_CASE_TRANSFORM_LINK":"データクレンジングの例をもっと見る","VIDEO_TITLE":"AI Editingの実演を見る","LEAD_BUILDING_DESCRIPTION":"大量のリードリストを深掘りするための最適なツール。整理・エンリッチして、理想的な見込み客を見つけましょう。","VIDEO_TEXT":"シンプルなプロンプトでカタログの単位を更新する方法をご覧ください。数式不要、手間いらず。","TALK_TO_US_TEXT":"スプレッドシートの手作業に時間を浪費するのはもうやめませんか？AI Editingをぜひお試しください。今日からデータのワークフローが変わります。","CSV_EDITOR_DESCRIPTION":"CSVファイルをオンラインで管理できるモダンなCSVエディタ。ブラウザで直接開いて編集できます。","LEAD_LIST_BUILDING":"リードリストの構築・クレンジング・エンリッチ","SEE_ALSO":"関連情報"},"FeatCombine":{"PAGE_TITLE":"無料でCSVファイルを統合・マージ","PAGE_DESC":"共通の識別子カラムに基づいてCSVデータリストを結合します。","FEATURE":"機能","NOSIGNUP":"サインアップ不要","100%ONLINE":"100% オンライン","EASY_TO_USE":"簡単に使えます","HERO_TITLE":"無料でCSVファイルを統合・マージ","HERO_DESC":"共通の識別子カラムに基づいてCSVデータリストを結合します。","DATA_RECONCILIATION_DEF":"データリコンシリエーション（データ照合）とは？","DATA_RECONCILIATION_DEF_DESC_1":"データリコンシリエーションは、異なるソースのデータを比較し、整合させるプロセスです。これは、関連する情報を持つ複数のデータソースが存在する場合に一般的に行われます。","DATA_RECONCILIATION_DEF_DESC_2":"これらのソースには、データベース、スプレッドシート、ソフトウェアシステム、さらには手作業の記録が含まれます。目的は、データを突き合わせて、単一で信頼できる一貫性のあるデータセットを作成することです。","DATA_RECONCILIATION_DEF_DESC_3":"データリコンシリエーションは、疎なデータ同士をつなぐことで意思決定に役立つインサイトを提供します。会計、在庫管理、マーケティングなどで広く活用されています。","JOIN_TITLE":"CSVファイルを1つのコレクションに結合","JOIN_DESC_1":"GoogleスプレッドシートやMicrosoft Excelは経理業務には便利ですが、データ管理機能は十分ではありません。データサイエンティスト向けにはETL（Extract, Transform, Load）といった専門ツールもありますが、非技術者の方には扱いやすいとはいえません。","JOIN_DESC_2":"Datablistでは、CSVファイルを統合するために使用する項目（キー）を指定するだけで、あとはツールが処理します。","SEE_TUTO":"チュートリアルを見る","TALK_TO_US_TEXT":"Datablistをお試しいただき、リスト統合がいかに簡単かをご体験ください。すでに18,000人以上のユーザーが活用しています。","MERGE_TITLE":"複数ソースのデータをマージ","MERGE_DESC_1":"デジタルの世界では、リスト管理は日常的な業務です。たとえば、次のような場合です。","MERGE_EX_1":"顧客の統合ビュー（Single View）を構築する","MERGE_EX_2":"複数のソースから見込み客リストを作成する","MERGE_EX_3":"連絡先情報でメーリングリストをエンリッチする","MERGE_DESC_2":"このような用途には、Datablistのようなツールでデータをマージ・管理することが有効です。","WHEN_COMBINE_DATA":"データファイルを結合すべきタイミング","WHEN_COMBINE_TITLE_1":"顧客ファイルを統合","WHEN_COMBINE_DESC_1":"顧客のシングルビューを実現するには、顧客ファイルの統合が不可欠です。企業は営業、マーケティング、カスタマーサポート、オンラインプラットフォームなど、さまざまなタッチポイントで顧客と接点を持つため、価値あるデータが複数のシステムやデータベースに分散しがちです。emailアドレスやその他の一意の識別子で顧客データを結合します。そうすることで、マーケティング、営業、カスタマーサービスなど、すべてのチームがこの統合された包括的なビューにアクセスできるようになります。","WHEN_COMBINE_TITLE_2":"注文データを商品カタログでエンリッチ","WHEN_COMBINE_DESC_2":"ECでは、主に商品リストと注文リストという2つのリストを管理します。注文リストには、購入された商品の参照が含まれます。商品属性を注文リストに統合することで、販売からインサイトを得られます。たとえば、よく売れている主要カテゴリなどです。自社サイトのトラフィック統計など、外部データもあわせて統合できます。","WHEN_COMBINE_TITLE_3":"企業データを集約して見込み客リストを構築","WHEN_COMBINE_DESC_3":"見込み客リストを構築する際、企業に関するデータが多いほど、見込み客を細かくセグメントできます。データ統合は、外部データソースを用いて<doc>見込み客リストをエンリッチする</doc>のに有用です。従業員数、直近の資金調達ラウンド、売上、推定Webトラフィックなどが該当します。潜在的な見込み客について正確で最新の情報を把握できれば、lead scoringを改善し、不適格な見込み客に費やす時間を削減できます。","WHEN_COMBINE_LINK_3":"見込み客リスト構築について詳しく見る","WHEN_COMBINE_TITLE_4":"leadsをマーケティングデータでエンリッチ","WHEN_COMBINE_DESC_4":"ウェブサイトのアナリティクス、ソーシャルメディアの指標、顧客とのインタラクションなど、さまざまなソースのデータをまとめることで、オーディエンスを包括的に把握できます。データ統合の代表的な活用例は、emailキャンペーンの結果をleadsリストに反映することです。emailを開封・クリックしたleadsをハイライトし、LinkedInなどの他のソーシャルネットワークでターゲティングします。統合データでleadsをエンリッチすることで、コンバージョンが向上し、関心の低いleadsに時間やコストを費やすことを避けられます。"},"FeatDuplicates":{"PAGE_TITLE":"無料の重複排除ツール","PAGE_DESC":"複数列のいずれかでリストの重複を排除します。ノーコードで設定でき、非技術者の方にも簡単にお使いいただけます。","SEE_ALSO":"こちらもご覧ください","LEARN_MORE":"詳しく見る","GET_STARTED":"今すぐ始める！","FEATURE":"機能","NOSIGNUP":"サインアップ不要","100%ONLINE":"100% オンライン","EASY_TO_USE":"かんたん操作","NO_TECHNICAL_REQUIRED":"技術的な知識は不要です","NOCODE_CONF":"ノーコード設定","EXPORT_CSV_TITLE":"CSV または Excel へエクスポート","EXPORT_CSV_DESC_1":"データを他のアプリやスプレッドシートに移行しますか？","EXPORT_CSV_DESC_2":"<0>データの所有権は常にお客様にあります</0>。選択したアイテムまたはコレクション全体を CSV もしくは Microsoft Excel ファイルとしてエクスポートできます。","EXPORT_CSV_DESC_3":"生成される CSV ファイルは Google スプレッドシートなど一般的なアプリケーションと互換性があります。","OK_GO":"OK、始めましょう！","RESOURCES":"リソース","AI_TITLE":"AI による重複処理","AI_TEXT":"シンプルなプロンプトで新しいデータを生成し、既存情報を編集し、ゼロからシステムを構築できます。","CSV_EDITOR_DESCRIPTION":"最新のオンライン CSV エディタ。CSV ファイルを開いて、ブラウザーで直接データを編集できます。","LEAD_BUILDING_DESCRIPTION":"大量のリードリストを深掘りする最適なツール。整理・エンリッチし、理想的な見込み客を見つけます。","COMBINE_DESCRIPTION":"複数ソースのリストファイルを 1 つのコレクションに結合します。非技術者の方にも簡単に使えます。","TALK_TO_US_TEXT":"Datablist をお試しいただき、データマッチングやレコードの重複排除がどれほど簡単かをご体験ください。すでに 18,000 名以上のユーザーが利用しています！","HERO_TITLE":"無料の重複削除ツール","DESCRIPTION":"ついに、Excel に代わる使いやすい重複排除ツールが登場。CSV や Excel ファイル内の重複値を検出・マージ・削除できます。","DEDUPLICATION_DEF_TITLE":"データの重複排除とは？","DEDUPLICATION_DEF_DESC_1":"データの重複排除（<doc>デデュープ</doc>）は、データセットから重複レコードを取り除くプロセスです。","DEDUPLICATION_DEF_DESC_2":"一意のリストを維持するにはデデュープが不可欠です。メーリングリストを使うマーケティング、リードジェネレーション、顧客管理、あるいは EC の商品カタログ管理など。2 つのエントリが同一の実体を指す場合、それらは重複です。同じ email アドレスを持つ 2 件のリード、同じバーコードを持つ 2 つの商品などが該当します。","DEDUPLICATION_DEF_DESC_3":"重複はデータ品質を損ない、生産性を低下させます。重複をなくす方法は 2 つあります。削除するか、類似エントリを 1 件にマージして統合するかです。","DEDUPLICATION_DEF_DESC_4":"重複の削除は簡単で、アルゴリズムが重複エントリを見つけ、1 件を除いて削除します。重複のマージは、重複エントリを分析し統合して 1 つのマスターレコードにする必要があります。","DUPLICATES_MODE_TITLE":"1 つまたは複数のデータコレクションで、全項目または選択項目を解析","DUPLICATES_MODE_DESC_1":"Datablist Duplicates Finder は、全アイテム比較または選択したプロパティでの比較に対応します。","DUPLICATES_MODE_DESC_2":"Selected Properties モードを使えば、email アドレスに基づいて重複コンタクトを検出したり、ウェブサイト URL によって企業リストの重複を見つけたりできます。","DUPLICATES_MODE_DESC_3":"Datablist Duplicates Finder は、1 つまたは複数のリストで動作します。複数リストの場合、重複排除アルゴリズムはフィールドマッピングを用いて、データセット間でレコードを比較します。","MERGE_TITLE":"重複の削除または統合","DUPLICATES_PREVIEW_TITLE":"重複のプレビュー","DUPLICATES_PREVIEW_DESC_1":"Datablist は検出した重複を一覧表示し、実行する操作を選択できるようにします。","DUPLICATES_PREVIEW_DESC_2":"詳細ドロワーで重複アイテムを開き、情報を編集・マージできます。あるいは重複をそのまま削除することもできます。","DUPLICATES_AUTO_MERGING_TITLE":"競合のない重複を自動マージ","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist は、情報を失うことなくマージできるすべての重複値を自動的に見つけます。","DUPLICATES_AUTO_MERGING_BULLET_1":"重複アイテムのプロパティ値がすべて同一の場合、1 件だけを残し、残りは削除します。","DUPLICATES_AUTO_MERGING_BULLET_2":"重複アイテムが相補的な場合は、情報量が最も多いアイテムをプライマリアイテムとして選択し、そのプロパティ値を他のアイテムの値で補完します。その後、プライマリ以外のアイテムはすべて削除します。","DUPLICATES_AUTO_MERGING_BULLET_3":"重複アイテムに競合するプロパティ値がある場合は、自動処理をスキップし手動マージに回します。","MERGING_ASSISTANT_TITLE":"競合する値はマージアシスタントで手動確認","MERGING_ASSISTANT_DESC_1":"自動マージが難しい場合は、Datablist のマージアシスタントで保持する値を選び、アイテムを統合してください。","MERGING_ASSISTANT_DESC_2":"情報量が最も多いアイテムがマスターアイテムに選ばれ、セカンダリーアイテムから補完値を受け取ります。","DUPLICATES_DEDUPE_TITLE":"誰でも使える DeDupe ツール","DUPLICATES_DEDUPE_DESC_0":"これまでの重複排除ツールは技術者向けで、設定項目が多く扱いづらいものでした。","DUPLICATES_DEDUPE_DESC_1":"Datablist ならデータ操作が簡単に！データの重複排除がついに誰でも使えるようになりました。","DUPLICATES_DEDUPE_DESC_2":"数十万件のレコードでも、Web ブラウザー上で直接デデュープできます。","DUPLICATES_AUTO_MERGE_TITLE":"インポート時の自動マージ","DUPLICATES_AUTO_MERGE_DESC_1":"Duplicates Finder に加えて、コレクションのプロパティに 'Unique values' 設定を適用できます。","DUPLICATES_AUTO_MERGE_DESC_2":"データインポート中に、取り込みファイルのアイテムがコレクション内やファイル内の他のアイテムと重複している場合、マージモードに従ってマージまたは削除されます。","DATA_DEDUP_WHEN_TITLE":"データ重複排除はいつ使うべき？","DATA_DEDUP_WHEN_MAIL_TITLE":"メーリングリストのデデュープ","DATA_DEDUP_WHEN_MAIL_DESC_1":"時間の経過とともに、ウェビナー参加者、購入者、フリーミアムユーザーなど、複数のソースがメーリングリストに流入します。1 つの email アドレスが複数回登録されることがあります。","DATA_DEDUP_WHEN_MAIL_DESC_2":"重複した email アドレスは、余分なコストやスパム的な挙動、配信停止後もメールを受け取り続けることによるユーザーの不満など、マーケティング施策に悪影響を与えます。","DATA_DEDUP_WHEN_MAIL_LINK":"メーリングリストをクリーンアップする方法","DATA_DEDUP_WHEN_EXCEL_TITLE":"Microsoft Excel の重複排除","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets や Microsoft Excel などのスプレッドシートには基本的な重複排除機能があります。列内の重複をハイライトしたり削除したりできます。Datablist の自動マージと手動のマージアシスタントで、複雑な重複レコードにも対応できます。","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist は CSV と Excel ファイルをどちらも開けます。","DATA_DEDUP_WHEN_EXCEL_LINK":"Excel ファイルをデデュープする方法","DATA_DEDUP_WHEN_LEAD_TITLE":"リード/見込み客の重複排除ツール","DATA_DEDUP_WHEN_LEAD_DESC_1":"B2B マーケティングでは、見込み客データベースの品質がキャンペーン成果に直結します。<doc>重複リード</doc>を含む汚れたデータリストは、ストレージコストを増やし、リードトラッキングの効率を下げ、営業チームにフラストレーションをもたらします。","DATA_DEDUP_WHEN_LEAD_DESC_2":"Datablist で <doc>リードジェネレーション</doc>のプロセスを管理しましょう。あるいは CRM データやリードリストを Datablist にインポートしてクリーンアップできます。","DATA_DEDUP_WHEN_LEAD_LINK":"リードリストを重複排除する方法","DATA_DEDUP_WHEN_CSV_TITLE":"CSV ファイルのデデュープ","DATA_DEDUP_WHEN_CSV_DESC_1":"CSV データのクレンジングは時間がかかります。データエンジニアは Python などのプログラミング言語で CSV を解析・クリーンアップします。Datablist は非技術者向けに、<a1>CSV ファイル</a1>でデータクレンジングを行えるノーコードツールを提供します。<a2>数十万行の CSV</a2> を開いて、重複レコードを高速に処理できます。","DATA_DEDUP_WHEN_CSV_LINK":"CSV ファイルをデデュープする方法","SEE_ALSO_CSV_EDITOR":"CSV エディタ","SEE_ALSO_GUIDE_EXCEL":"ガイド：Excel ファイルで重複行をデータを失わずにマージする","SEE_ALSO_GUIDE":"ガイド：CSV の重複を削除する","SEE_ALSO_GUIDE_LARGE_CSV":"ガイド：大きな CSV をオンラインで編集する","SEE_ALSO_COMBINE":"CSV ファイルを結合","LEAD_LIST_BUILDING":"リードリストの構築・クレンジング・エンリッチメント","FIND_DUPLICATE_ONLINE_TITLE":"オンラインで重複を検出・削除","FIND_DUPLICATE_ONLINE_DESC_1":"データ内の重複を即座に検出・マージ・排除します。使いやすい Web インターフェースで、面倒なインストールなくあらゆるデバイスから利用できます。","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist は高度なアルゴリズムで重複を素早く特定し、時間を節約してミスを防ぎます。手作業の検索に別れを告げ、効率化されたワークフローを実現しましょう。","FUZZY_MATCHING_TITLE":"あいまい一致での重複排除","FUZZY_MATCHING_ONLINE_DESC_1":"あいまいデデュープアルゴリズムは、レコード間の距離を算出します。閾値を使って、2 件のレコードがどの程度似ていれば同一とみなすかを定義します。厳密一致と異なり、<0>fuzzy matching</0> はタイプミスや略語、細かな表記揺れを考慮して賢く類似を見つけます。","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist は <0>Levenshtein</0> と <1>Jaro-Winkler</1> の距離アルゴリズムを実装しています。","CONSOLIDATE_DUPES_TITLE":"重複を統合して 1 件のレコードに集約","CONSOLIDATE_DUPES_DESC_1":"単純なマージだけでは足りない場合は、重複値の結合または破棄などの高度な機能で、重複レコードを統合しましょう。","CONSOLIDATE_DUPES_DESC_2":"Datablist は競合しているフィールドを一覧表示し、対応方法を選べます。データ連結には 値を結合、1 つのマスターレコードの値を残すには 値を破棄 を使います。","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"Datablist の AI Agent で、あらゆるウェブサイトをスクレイピングし、Google 検索を自動化し、シンプルなプロンプトで構造化データを抽出できます。コードは不要です。","FAQ_Q1":"Duplicates Finder は無料で使えますか？","FAQ_A1":"はい。オンラインで重複の検出とマージを無料で行えます。厳密一致やスマートマッチングなどの基本機能はアカウント不要で利用可能です。あいまい一致や Phonetic などの高度なアルゴリズムには有料プランが必要です。","FAQ_Q2":"Excel の「重複の削除」とはどう違いますか？","FAQ_A2":"Excel は重複行を完全に削除するため、そこに含まれていた有益な情報を失う可能性があります。Datablist はレコードをマージし、重複間の相補情報を賢く 1 つの完全なマスターレコードに統合します。データを失うことはありません。","FAQ_Q3":"どのくらい大きいリストまでデデュープできますか？","FAQ_A3":"Datablist は大容量ファイルの処理を前提に設計されています。無料プランで最大 100 万行、有料プランでは最大 150 万行まで処理でき、従来のスプレッドシートの制限を大きく超えています。","FAQ_Q4":"タイプミスやわずかな違いがある重複も見つけられますか？","FAQ_A4":"もちろんです。Levenshtein や Jaro-Winkler 距離などの高度なあいまいマッチングにより、スペルミスやタイプミス、軽微な書式差があっても類似レコードを特定します。","FAQ_Q5":"1 つのセルに email が 2 件あるなど、複数値のフィールドには対応できますか？","FAQ_A5":"そのために設計されています。\"Multiple Value Matching\" を有効にすると、（セミコロン区切りの）セル内の各値を個別のエントリとして比較できます。いずれか 1 つでも重複があれば一致とみなします。","FAQ_Q6":"複数の CSV や Excel ファイルをまたいで重複を見つけられますか？","FAQ_A6":"はい。複数のファイルを Datablist にインポートし、それら全体に対して Duplicates Finder を実行できます。列や構造が異なっていても、共通の識別子に基づいてレコードを照合できます。","FAQ_Q7":"使うのにコーディングは必要ですか？","FAQ_A7":"いいえ、不要です。Datablist は完全なノーコードソリューションです。Duplicates Finder が、ユーザーフレンドリーな UI で列とマッチングルールを選ぶだけのステップバイステップでご案内します。","FAQ_Q8":"AI は重複のマージにどう役立ちますか？","FAQ_A8":"AI 編集機能で柔軟に対応できます。標準のマージルールの代わりに、平易な英語で指示を書くことができます。たとえば、重複エントリの売上数値を合計する、最新日付に基づいてマスターレコードを選ぶ、など。複雑なロジックをシンプルなリクエストに変換します。","FAQ_Q9":"重複をマージした後、データはどうなりますか？","FAQ_A9":"Datablist はデータを 1 つのマスターレコードに統合します。他の重複から不足情報を自動補完し、競合データへの対応も選べます。異なる行のテキストを結合することも、保持する値を選ぶことも可能です。不要になったレコードは削除されます。","FAQ_Q10":"利用できるマッチングアルゴリズムは何ですか？","FAQ_A10":"用途に応じて複数のアルゴリズムをご用意しています。完全一致の 'Exact'、語順や URL プロトコルなどの違いに強い 'Smart'、読みが近い名前に効く 'Phonetic'、タイプミスに強い 'Fuzzy Matching' です。","FAQ_Q11":"マージ前に、重複グループの一覧をエクスポートしてレビューできますか？","FAQ_A11":"はい。Datablist がすべての重複グループを特定した後、変更前に CSV または Excel にエクスポートできます。このファイルは、各グループの重複アイテムが連続して並ぶ形で出力されるため、外部でのレビューや他ツールでの処理が容易です。","FAQ_Q12":"Datablist で重複をマージした後、CRM をどのように更新すればよいですか？","FAQ_A12":"マージ完了後、Datablist はダウンロード可能な 'Changes List' を提供します。このファイルはプロセス中に更新・削除された各レコードを詳細に記録するログとして機能します。CRM など外部システムでも、このファイルを使えば変更を容易に反映でき、データの完全な同期を維持できます。"},"CSVEditor":{"PAGE_TITLE":"無料のオンラインCSVエディター＆ビューア","PAGE_DESC":"CSVファイルをオンラインで管理できるモダンなCSVエディターです。ブラウザ上で直接、データを開いて編集できます。","HEADER_TITLE":"オンラインCSVエディター＆ビューア","HEADER_DESC_1":"Leads、顧客、製品のCSVファイルをオンラインで探索・編集できます。","NO_SIGNUP":"サインアップ不要","ONLINE_100":"100%オンライン","NO_CODE_CONFIG":"ノーコード設定","CSV_DEF_TITLE":"CSVファイルとは？","CSV_DEF_DESC_1":"CSVは「Comma Separated Value(s)」の略で、テキストファイルで構造化データを保存するための形式です。CSVファイルでは各行が1件のデータレコードで、各レコードはカンマ（場合によってはセミコロン「;」やタブ）で区切られたフィールドで構成されます。","CSV_DEF_DESC_2":"CSVファイルはアプリケーション間でデータをやり取りする一般的な方法です。テキストファイルに基づくため、データベースやスプレッドシートのデータをエクスポートするシンプルな手段になります。","EDIT_TITLE":"CSVファイルをオンラインで開く","EDIT_DESC_1":"ブラウザから直接CSVファイルをアップロードできます。Datablist CSV Editor はCSVのカラム区切り文字を自動検出します。","EDIT_DESC_2":"インポートするCSVのカラムを選択し、データ型（Text、LongText、Date、Number、Email address など）を定義できます。","EDIT_DESC_3":"インポート後は、Datablistで任意のプロパティで並べ替え、全文検索でデータをフィルタできます。","DATA_MANIP_TITLE":"CSVファイルのクリーンアップと統合","DATA_MANIP_DESC":"データ操作にExcelやGoogleスプレッドシートを使うのはもうやめましょう 😱","WHY_USE_CSV_TITLE":"なぜDatablistのCSVエディターなのか？","WHY_USE_CSV_BLOC_TITLE_1":"メーリングリストをクリーンアップ","WHY_USE_CSV_BLOC_DESC_1":"Email リストはユーザーベースにリーチする最適な手段です。しかし時間の経過とともにリストは乱雑になりがちです。Datablistで到達率を高め、コストを削減しましょう。重複や無効なEmailアドレスを簡単に除去できます。","WHY_USE_CSV_BLOC_TITLE_2":"商品カタログを管理","WHY_USE_CSV_BLOC_DESC_2":"ほぼすべてのECツールはCSVで商品カタログのインポート／エクスポートに対応しています。Googleショッピングへ送る前のカタログのクリーンアップでも、複数ショップのデータを1つのコレクションに統合する場合でも、Datablistはリスティング管理に最適です。","WHY_USE_CSV_BLOC_TITLE_3":"Leads をエンリッチ","WHY_USE_CSV_BLOC_DESC_3":"Emailアドレス、役職、LinkedIn プロフィールなどでプロスペクトリストをエンリッチしたいですか？CRMは関心を示した後のLeadsのトラッキングとエンリッチには最適ですが、大量のプロスペクトのリスト作成やlead scoringには制約があります。Datablistはプロスペクトのトラッキングに最適なツールです。","WHY_USE_CSV_BLOC_TITLE_4":"SEOキーワードをトラッキング","WHY_USE_CSV_BLOC_DESC_4":"SEO戦略を構築中ですか？DatablistでSEOキーワードを保存し、競合をリスト化し、月間検索ボリュームやキーワード難易度を分析できます。ブログ投稿のアイデアを書き留め、競合のブログ投稿もトラッキングしましょう。","CSV_CLEANER_TITLE":"CSVクリーナー","CSV_CLEANER_DESCRIPTION":"CSVファイルはエラーや不整合、書式の問題が発生しやすく、扱いや分析を難しくすることがあります。CSVのクリーニングとは、CSVファイル内のこれらの問題を検出・修正し、データの正確性・一貫性・適切な書式を担保するプロセスを指します。","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSVの重複排除","CSV_CLEANER_TITLE_BLOC_DESC_1":"データの重複排除はCSVクリーニングの重要な要素です。Datablist Duplicates Finder を使えば、利用可能なすべてのカラムで比較したり、特定のカラムを選んで比較したりできます。高度なアルゴリズムにより、大規模データでも数秒でスキャンして重複を特定します。さらに、Datablist Duplicate Finder には強力なマージ機能があり、重複レコードを1つの正確なレコードに統合できます。","CSV_CLEANER_TITLE_BLOC_TITLE_3":"データ型を変換","CSV_CLEANER_TITLE_BLOC_DESC_3":"データ型の変換はCSVクリーニングで一般的な作業です。値を標準化された形式に変換することで、正確性と一貫性を確保します。DateTime、Numbers、Boolean などの特定のデータ型に合わせてCSV内の値の形式を変更できます。データ型の変換は、CSVのフィルタリングや、文字列データを他ツールへインポート可能な標準形式に整えるうえで重要です。","CSV_CLEANER_TITLE_BLOC_TITLE_6":"HTMLタグの除去と記号の削除","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablistには、タグ付きのHTMLコードをプレーンテキストに変換するクリーニングツールが組み込まれています。ほかにも、テキストからの絵文字や記号の削除、不要なスペースの除去などのツールを備えています。これらのクリーニング機能により、データの可読性と使いやすさが向上します。不要なノイズや記号を取り除くことで、データをより明確かつ簡潔にできます。","CSV_CLEANER_TITLE_BLOC_TITLE_7":"検索と置換","CSV_CLEANER_TITLE_BLOC_DESC_7":"「検索と置換」ツールはデータクリーニングに最適です。特定の値やパターンを検索し、正しい値や望ましい値に置換できます。これにより、スペルミスや書式の不整合、データ入力時の誤りを修正できます。データの標準化にもご活用ください。特定の値の異なる表記や形式を検索し、標準化された形式に置換します。","CSV_MANIPULATION_TITLE":"強力なCSV操作ツール","CSV_MANIPULATION_BLOC_TITLE_1":"一括編集","CSV_MANIPULATION_BLOC_DESC_1":"Datablist の一括編集はCSVクリーニングを簡素化します。複数アイテムを一度に変更できます。コレクション全体への適用、フィルタ済みアイテムの編集、選択したアイテムの一括編集が可能です。大規模データセットの管理・更新に非常に効率的です。Datablist の一括編集で、データの標準化を行えます。関連するすべてのレコードに一貫した書式や値を適用できます。","CSV_MANIPULATION_BLOC_TITLE_2":"データ操作のためのJavaScriptコード作成","CSV_MANIPULATION_BLOC_DESC_2":"JavaScriptは、Datablist上で直接データをクリーンアップするために利用できる強力な言語です。CSVクリーニングにJavaScriptを使う大きな利点は柔軟性です。スプレッドシートの数式は複雑で遅くなりがちですが、JavaScriptならシンプルな書式変換やデータ型の変換から、より高度なデータ変換・分析まで、幅広いクリーニング処理を行うカスタムスクリプトを作成できます。","CSV_MANIPULATION_BLOC_TITLE_3":"CSVカラムの分割と結合","CSV_MANIPULATION_BLOC_DESC_3":"CSVカラムの分割・結合は、CSVクリーニングに役立つ手法です。データをより意味のある形に再構成・整理できます。たとえば、カンマやセミコロンなどの区切り文字で複数の値が入った1つのカラムがある場合、その区切り文字に基づいて複数カラムに分割できます。","CSV_MANIPULATION_TITLE_4":"複数CSVからデータを照合・統合","CSV_MANIPULATION_DESC_4":"Datablistならデータの照合作業も簡単です。複数のデータソースを複数のコレクションにインポートし、各リスト間の共通識別子を選んで結合します。Datablistは「FULL OUTER JOIN」「LEFT OUTER JOIN」の結合に対応。競合データのマージ方法も設定でき、インポートデータをスキップまたはマージできます。","CSV_ONLINE_EDITOR":"オンラインで使える高機能CSVエディター","CSV_ONLINE_EDITOR_DESC_1":"他のオンラインCSVエディターは、開く・閲覧するための簡易機能のみで、しかも多くは広告だらけです。Datablist はオンラインCSVエディターでありながら、PCにアプリをインストールせずに大容量CSVを高速に開ける強力な機能を備えています。ブラウザの機能を活用してデータを保存・処理します。","CSV_ONLINE_EDITOR_DESC_2":"新しいCSVファイルをゼロから作成したり、外部のCSVをパースしたり、Excelファイルを開くこともできます。開いた後は、内蔵のフィルターとソートツールでデータを探索する、もしくはCSVデータをクリーンアップ・編集できます。すべてのデータ操作は、ブラウザ内の使いやすいインターフェースからご利用いただけます。","CROSS_OS_TITLE":"Windows・Mac OS・Linux に対応したCSVエディター","CROSS_OS_DESC_1":"Datablist CSV Editor は、あらゆるプラットフォームとOSに対応しています。Microsoft Windows、Mac OS、Linux でCSVファイルをオンラインで開けます。","CROSS_OS_DESC_2":"最新のWebブラウザ技術を活用し、プラットフォームの壁を取り払います。データはブラウザ内で動作するローカルデータベースに読み込まれます。クラウド同期により、Datablist はデータをクラウドとチームメンバー間で継続的に同期します。","PARSE_ONLINE_TITLE":"CSVファイルをオンラインでパース＆編集","PARSE_ONLINE_DESC_1":"直感的なアプリで、超高速にCSVファイルをオンラインでパース・修正できます。CSV（やExcel）からデータをシームレスに抽出・整理し、使いやすいWebベースのインターフェースで操作できます。","PARSE_ONLINE_DESC_2":"面倒なインストールや互換性の問題とは無縁です。インターネット接続があれば、どのデバイスからでもDatablistで手間なくCSVをパースできます。","PARSE_ONLINE_DESC_3":"Datablistは大型のCSVファイルも数秒でパースし、すばやく有益なインサイトの抽出を開始できます。","PARSE_ONLINE_DESC_4":"DatablistでCSVデータを直接修正し、CSVまたはMicrosoft Excel形式でエクスポートできます。","SEE_ALSO":"関連ページ","DATA_EDITOR":"オ��ラインデータエディター","DATA_EDITOR_DESC":"CSV以外の多様なデータ形式も管理・操作できる強力なオンラインデータエディター。","DUPLICATES_REMOVER":"重複レコードの削除","DUPLICATES_REMOVER_DESC":"ファジーマッチとマージに対応した高度な重複検出・削除ツール。","COMBINE_CSV":"CSVファイルを結合","COMBINE_CSV_DESC":"共通の識別子とJOIN操作を使って、複数のCSVファイルをマージ・統合します。","EMAIL_CLEANING":"Emailリストのクリーニング","EMAIL_CLEANING_DESC":"Emailリストをクリーンアップ＆検証して、到達率を改善しバウンス率を削減します。","WHY_USE_CSV_BLOC_LINK_1":"Emailリストをクリーンアップする方法","PROSPECT_LIST_BUILDING":"プロスペクトリストの作成","GUIDE_DATA_CLEANING":"データクリーニングガイドをご覧ください","INVENTORY_MANAGEMENT_LINK":"オンラインストアの在庫とサプライヤーフィードを管理","DUPLICATES_FINDER_LINK":"重複レコードの検出とマージ","AI_EDITING_LINK":"AIでデータ変換スクリプトを作成"},"DataEditor":{"PAGE_TITLE":"オンラインデータエディター ","PAGE_DESC":"CSV、Excel、構造化データを管理できる強力なオンラインデータエディターです。ノーコードのインターフェースと高度なツールで、データのクレンジング、編集、変換を行えます。","HEADER_TITLE":"オンラインデータエディター","HEADER_DESC_1":"スプレッドシートの手軽さとデータベースの機能を兼ね備えた強力なオンラインエディターで、データを管理できます。","HEADER_DESC_2":"CSV と Excel 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{count}行","RECOMMENDED_SUFFIX":" · 推奨","ROW_NODES_HELP":"誤った配列が選択されている場合は、列を編集する前にこちらで切り替えてください。","FLATTEN_OBJECTS":"ネストされたオブジェクトをフラット化","FLATTEN_OBJECTS_DESC":"`data.name`を独立したCSV列に変換します。","OBJECTS_TO_FLATTEN":"フラット化するオブジェクト","OBJECTS_TO_FLATTEN_DESC":"個別の列に展開するネストされたオブジェクトを選択してください。","ARRAY_HANDLING":"配列の処理","ARRAY_HANDLING_DESC":"配列の値をCSVにどのように出力するかを指定します。","ARRAY_SEPARATOR":"配列の区切り文字","ARRAY_FIELDS":"配列フィールドごとに設定","ARRAY_FIELDS_DESC":"検出された各配列列のエクスポート方法を選択してください。","ARRAY_JOIN":"要素を結合","ARRAY_JSON":"JSON文字列に変換","ARRAY_CASE_BY_CASE":"個別に設定","ARRAY_KEEP_FIRST":"最初の要素のみ保持","DETECTED_COLUMNS":"検出された列","DETECTED_COLUMNS_DESC":"エクスポート前にJSONパスを確認し、ヘッダー名の変更や列の除外を行えます。","COLUMN_COUNT":"表示中 {visible} / 全{total}列","CSV":"CSV","CSV_DESC":"エクスポートするCSVの形式を設定します。","CSV_SEPARATOR":"CSV区切り文字","CSV_SEPARATOR_DESC":"列間に使用する区切り文字を選択してください。","SEPARATOR_COMMA":"カンマ (,)","SEPARATOR_PIPE":"パイプ (|)","SEPARATOR_SEMICOLON":"セミコロン (;)","SEPARATOR_TAB":"タブ (\\t)","CUSTOM":"カスタム","ENTER_SEPARATOR":"区切り文字を入力","QUOTE_TYPE":"引用符の種類","QUOTE_TYPE_DESC":"エスケープが必要な場合に、フィールドを囲む方法を選択してください。","DOUBLE_QUOTE":"ダブルクォート (\")","SINGLE_QUOTE":"シングルクォート (')","INCLUDE_HEADER":"ヘッダー行を含める","INCLUDE_HEADER_DESC":"CSVの先頭行に列名を出力します。","DATE_FORMAT":"日付の出力形式","DATE_FORMAT_DESC":"エクスポート前に、検出されたISO形式に類似する日付を変換します。","DATE_KEEP_ORIGINAL":"元の形式を維持","DATE_ISO":"ISO日付 (yyyy-MM-dd)","DATE_EUROPEAN":"ヨーロッパ形式 (dd/MM/yyyy)","DATE_US":"米国形式 (MM/dd/yyyy)","DATE_TIME":"日付と時刻 (yyyy-MM-dd HH:mm:ss)","DATE_READABLE":"読みやすい形式 (MMM d, yyyy)","OUTPUT":"出力","COPY_CSV":"CSVをコピー","COPIED":"コピーしました","COPY_FAILED":"コピーに失敗しました","DOWNLOAD_CSV":"CSVをダウンロード","TABLE_VIEW":"テーブル表示","RAW_CSV":"未加工のCSV","EMPTY_PREVIEW":"JSONをアップロードするか、左側に貼り付けてください。検出された行の取得元とフラット化ルールを適用したプレビューがこちらに表示されます。","PREVIEW_LIMIT":"最大100行をプレビューできます。完全なCSVを取得するにはダウンロードしてください。","ROWS":"行","COLUMNS":"列","ERRORS":"エラー"}},"KEYWORDS":["json to csv","json to csv converter free","json to csv online","nested json to csv","complex json to csv","json api response to csv","convert large json to csv","json to csv large file","convert big json file to csv","best json to csv converter","row nodes json to csv","extract nested array from json to csv","convert nested json array to csv","flatten nested json to csv","json converter","csv export","datablist tools"],"SEO_HERO_TITLE":"JSONを貼り付けるだけ。数秒でクリーンなCSVを取得。","SEO_HERO_DESC":"シンプルなツールでは壊れがちなファイルにも対応する、無料のオンラインJSON to CSVコンバーターです。ネストされたオブジェクト、混在した配列、大きなペイロードも処理できます。データはお使いの端末上に保持されます。","INTRO_TITLE":"APIレスポンスや複雑なエクスポート向けのネストJSON to CSVコンバーター","INTRO_PARAGRAPHS":["多くのツールは、JSONがフラットな配列で始まっていないと正しく動作しません。しかし、実際のデータはもっと複雑です。APIレスポンス、webhookペイロード、CRMエクスポート、スクレイピングしたファイルには、ネストされたオブジェクト、メタデータ、混在した構造が含まれています。そこで、それらに対応できるよう本ツールを開発しました。","Row nodesを選択し、フラット化するオブジェクトを指定し、配列ルールを設定してください。その後、CSVをプレビューしてダウンロードできます。実運用のデータに適した最良のJSON to CSVコンバーターをお探しでしたら、そのために開発したのがこのツールです。"],"EXAMPLES":{"API":{"TITLE":"例：ネストされたAPIレスポンスをCSVに変換","DESCRIPTION":"多くの場合、JSONのルートはオブジェクトとして構成されており、行データは`results`や`data`のようなネストされた配列内にあります。シンプルなコンバーターでは対応できませんが、このツールはその配列を検出し、構造をフラット化して、クリーンなCSVとしてエクスポートします。","JSON_LABEL":"ネストされたJSON入力","CSV_LABEL":"CSV出力"},"CONTACTS":{"TITLE":"例：ネストされたcontacts配列を抽出","DESCRIPTION":"ペイロードによっては複数の配列が含まれます。親レコードが必要な場合もあれば、contactsのようなさらに深い配列が必要な場合もあります。row nodeセレクターを使用して必要な配列を正確に指定し、その行だけをエクスポートできます。","JSON_LABEL":"複数の配列を含むJSON","CSV_LABEL":"contacts向けCSV出力"}},"PARSING_SETTINGS":{"TITLE":"JSONパース設定","ITEMS":[{"TITLE":"Row nodes","BODY":"CSVの行を構成する配列を選択します。有用なデータがルートにそのまま存在することはまれです。JSONに複数の配列が含まれている場合は、この設定で適切なものを選択してください。"},{"TITLE":"ネストされたオブジェクトをフラット化","BODY":"`company`や`metrics`のようなオブジェクトを個別の列に展開します。フラット化するオブジェクトを選択することで、CSVを整理し、重複フィールドを避けられます。"},{"TITLE":"配列の処理","BODY":"区切り文字で配列を結合したり、JSON文字列として整形したり、カスタムルールを適用したりできます。tagsを結合したまま保持したり、複雑な配列をJSONのまま残したり、リストの先頭要素だけを抽出したりできます。"},{"TITLE":"配列ごとの個別ルール","BODY":"異なる配列ごとに個別のルールを適用できます。たとえばtagsには1つのルール、contactsには別のルールを設定できます。一般的なコンバーターはすべての配列を同じように扱いますが、この機能では最終出力を細かく制御できます。"}]},"OUTPUT_SETTINGS":{"TITLE":"CSV出力設定","ITEMS":[{"TITLE":"区切り文字","BODY":"カンマ、セミコロン、パイプ、タブ、またはカスタム区切り文字でエクスポートできます。出力先システムで必要な区切り形式に正確に合わせられます。"},{"TITLE":"ヘッダー行を含める","BODY":"CSVの1行目に列名を含めるかどうかを選択できます。別のパイプライン向けに生データの行だけを出力したい場合は、ヘッダーを除外してください。"},{"TITLE":"日付の出力形式","BODY":"エクスポート前に日付形式を再整形できます。手作業で編集しなくても、スプレッドシートやBIツールですぐ使えるCSVを生成できます。"},{"TITLE":"ダウンロード前にプレビュー","BODY":"ファイルをダウンロードする前に、プレビューでrow nodes、フラット化した列、配列ルールをご確認いただけます。"}]},"ROW_NODES":{"TITLE":"適切なRow nodesの選び方","PARAGRAPHS":["正しい配列を選択することで、正確な変換が可能になります。JSONファイルには、ラッパーオブジェクト、メタデータ、ネストされた配列が含まれていることがよくあります。シンプルなコンバーターは最初に検出した配列を選んでしまうため、誤ったデータを返すことがあります。","Row nodes設定を使って対象の配列を選択してください。companyごとに1行にしたい場合は親レコードを、contactごとに1行にしたい場合は子配列を選択します。","この機能により、複雑なAPIペイロード、CRMエクスポート、webhookログからビジネスデータを抽出できます。"]},"LARGE_FILES":{"TITLE":"大容量JSONファイルをCSVに変換","PARAGRAPHS":["大きなJSONをCSVに変換したい場合や、他のツールでは処理しきれない大容量JSONファイルを扱う必要がある場合にも対応しています。このページは、そのようなユースケースを想定して構築されています。","大きなペイロードを扱いながら、生成されるCSVのプレビューを確認し、その後フルエクスポートをダウンロードできます。プレビューにより、最終ファイルを確定する前に、row nodes、フラット化した列、配列ルールをご確認いただけます。","“convert large JSON to CSV”、“JSON to CSV large file”、“convert big JSON file to CSV”のようなキーワードでお探しであれば、まさにそのようなworkflowに対応するためのツールです。"]},"PRIVACY":{"TITLE":"データを外部に送信しないオンラインJSON to CSV","PARAGRAPHS":["これはオンラインJSON to CSVコンバーターですが、パース処理のためにファイルがリモートサーバーへアップロードされることはありません。処理はブラウザ内でローカルに行われます。","これは、顧客向けエクスポート、CRMデータ、APIレスポンス、内部ログなど、変換のためだけに外部へ送信したくないデータを扱う際に重要です。","つまり、高速で便利なうえ、変換処理がお使いの端末内にとどまるため、データの安全性も高まります。"]},"USE_CASES_TITLE":"このツールを使う場面","USE_CASES":[{"TITLE":"JSON APIレスポンスをCSVに変換","BODY":"メタデータとともにネストされたフィールド内にレコードがあるAPIからデータをエクスポートします。"},{"TITLE":"ネストされたJSONをフラットなCSV列に変換","BODY":"ネストされたcompany詳細、住所ブロック、売上データを、整ったスプレッドシート列に変換します。"},{"TITLE":"JSONからネストされた配列を抽出","BODY":"row nodeセレクターを使って、contacts、line items、eventsのようなより深い配列を指定してエクスポートします。"},{"TITLE":"CRMまたはwebhookのJSONエクスポートをCSVに変換","BODY":"HubSpotのエクスポート、内部APIペイロード、webhookログを、ExcelやBIツール向けに整えます。"},{"TITLE":"同じJSONファイル内で配列ごとに異なる処理を行う","BODY":"シンプルなtagsは結合し、リストは先頭要素だけを保持し、複雑な構造は同一ファイル内で文字列化できます。"},{"TITLE":"Excel、Sheets、またはインポート向けにCSVを準備","BODY":"区切り文字の調整、ヘッダーの切り替え、日付形式の設定により、CSVを出力先システムに合わせられます。"},{"TITLE":"可視性を保ったまま大容量JSONファイルを変換","BODY":"大きなJSONファイルを扱いながら、出力のライブプレビューを確認し、構造が適切であることを確認してから完全なCSVをダウンロードできます。"},{"TITLE":"無料のオンラインJSON to CSVコンバーターを利用","BODY":"ページを開き、JSONを貼り付けるかアップロードし、結果を確認して、何もインストールせずに無料でCSVをダウンロードできます。"}],"FAQ_TITLE":"FAQ：複雑なJSON to CSV変換","FAQ_ITEMS":[{"QUESTION":"これは無料のJSON to CSVコンバーターですか？","ANSWER":"はい。本JSON to CSVコンバーターは無料でご利用いただけます。"},{"QUESTION":"ネストされたJSONファイルをCSVに変換できますか？","ANSWER":"はい。適切なRow nodesを選択し、フラット化するオブジェクトを指定して、データをエクスポートできます。"},{"QUESTION":"行データがネストされた配列内にあるJSON APIレスポンスをCSVに変換できますか？","ANSWER":"はい。`results`、`items`、`data`といった名前のネスト配列を選択すると、そのレコードをもとにCSVを作成します。"},{"QUESTION":"Row nodes設定は何をしますか？","ANSWER":"どの配列をCSVの行として使用するかを決定します。ルートオブジェクトを迂回し、必要なデータを正確に指定するためにご利用いただけます。"},{"QUESTION":"大容量のJSONファイルをCSVに変換できますか？","ANSWER":"はい。本ツールは大きなペイロードに対応しており、フルファイルをダウンロードする前に生成されるCSVのプレビューもご確認いただけます。"},{"QUESTION":"どのオブジェクトをフラット化するか選べますか？","ANSWER":"はい。列として展開する特定のオブジェクトパスを選択できます。選択しなかったオブジェクトはJSON文字列のまま保持されるため、エクスポートを見やすく保てます。"},{"QUESTION":"このJSON to CSVコンバーターはオンラインで安全ですか？","ANSWER":"はい。ブラウザ上でオンライン動作しますが、パースと変換はサーバーへ送信されず、お使いの端末上でローカルに実行されます。"},{"QUESTION":"配列ごとに異なるルールを適用できますか？","ANSWER":"はい。配列ごとのモードを使用することで、フィールド単位で配列を結合、文字列化、または縮約できます。"},{"QUESTION":"このツールが優れたJSON to CSVコンバーターの1つである理由は何ですか？","ANSWER":"実際に多くの方が苦労するケースに対応するためです。ネストされたJSON、複数の候補配列、選択的なフラット化、配列ごとのルール、大容量ファイル、ライブプレビュー、そしてプライバシーに配慮したローカル処理に対応しています。"}],"OTHER_TOOLS_DESC":"JSON変換後に別のユーティリティが必要ですか。これらのツールは、構造化比較や監査しやすい差分確認など、隣接するデータworkflowをカバーします。"},"ToolsCsvDiff":{"PAGE_TITLE":"CSV Diffツール","PAGE_DESC":"2つのCSVファイルを比較し、追加・削除・変更された行を検出し、セル単位の差分をプレビューし、join種別やキー列の設定を選択し、結果をブラウザでダウンロードできる無料のオンラインCSV diffツールです。","SCHEMA_NAME":"Datablist CSV Diffツール","SCHEMA_DESC":"追加・削除・変更・未変更の行を比較できる、ブラウザ内処理とダウンロード可能なdiff CSV出力に対応した無料のオンラインCSV比較ツールです。","TOOL":{"ERROR_MISSING_SOURCE":"比較するには、2つのCSVファイルを両方アップロードしてください。","FILE_EMPTY_HELP":"ファイルをアップロードまたはドロップしてください","FILE_EMPTY_NAME":"CSVファイルを選択してください","FILE_LOADED":"読み込み済み","HELP_TEXT":"2つのCSVファイルをアップロードし、行の照合方法を選択すると、こちらでdiffをプレビューできます。すべての処理はお使いのブラウザ内でローカルに実行されます。","ORIGINAL_FILE_DESC":"以前のエクスポート、スナップショット、またはベースラインのファイルです。","ORIGINAL_FILE_TITLE":"Original CSV","OVERLAY_DESC":"先に元のファイルをドロップし、その後に更新済みファイルをドロップしてください。","OVERLAY_TITLE":"ここにCSVファイルをドロップしてください","STATUS_COMPARISON_FAILED":"比較に失敗しました","STATUS_FILES_READY":"ファイルを読み込みました。比較の準備ができました。","STATUS_PREVIEW_READY":"プレビューの準備ができました","STATUS_WAITING":"diffをプレビューするには、2つのCSVファイルをアップロードしてください。","SUBMIT_LABEL":"CSVファイルを比較","UPDATED_FILE_DESC":"元のファイルと比較する新しいエクスポートです。","UPDATED_FILE_TITLE":"Updated CSV","UI":{"COLUMNS_MAPPING":"カラムのマッピング","MAP_COLUMNS_THAT_CONTAIN_THE_SAME_DATA_WHEN":"2つのCSVファイルでカラム名が異なる場合、同じデータを含むカラムをマッピングします。","ONLY_MAPPED_COLUMNS_ARE_USED_FOR_MATCHING_AND":"マッピングされたカラムのみが照合と比較に使用されます。マッピングされていないカラムは、行を展開した際に引き続き表示されます。","ORIGINAL_COLUMN":"元のカラム","DO_NOT_COMPARE_THIS_COLUMN":"このカラムを比較しない","UNMAPPED_UPDATED_ONLY_COLUMNS":"更新後のCSVにのみ存在する未マッピングのカラム：","MATCHING":"照合","CHOOSE_HOW_ROWS_SHOULD_BE_MATCHED_BETWEEN_THE":"元のCSVファイルと更新後のCSVファイルの行を照合する方法を選択してください。","ROW_MATCHING_MODE":"行の照合モード","USE_A_KEY_COLUMN_WHEN_BOTH_FILES_SHARE":"両方のファイルに共通する安定した識別子がある場合は、キーカラムを使用します。ない場合は、行全体の比較に切り替えます。","AUTO_DETECT":"自動検出","SELECTED_KEY_COLUMN":"選択したキーカラム","MULTIPLE_KEY_COLUMNS":"複数のキーカラム","FULL_ROW_CONTENT":"行全体の内容","CURRENT_MATCH_MODE":"現在の照合モード：","KEY_COLUMN":"キーカラム","AUTO_DETECT_PREFERS_COLUMNS_LIKE_ID_EMAIL_SKU":"自動検出では、id、email、skuなどのカラムや、一意性の高い共通フィールドが優先されます。","USE_DETECTED_SUGGESTION":"検出された候補を使用","MULTIPLE_KEYS":"複数のキー","COMBINE_SHARED_COLUMNS_WHEN_ONE_COLUMN_ALONE_IS":"1つのカラムだけでは一意性が不十分な場合は、共通カラムを組み合わせます。","JOIN_TYPE":"結合タイプ","FULL_OUTER_JOIN_SHOWS_EVERYTHING_INNER_JOIN_SHOWS":"完全外部結合ではすべてが表示されます。内部結合では一致した行のみが表示されます。左外部結合では元のCSVの行が基準として保持されます。","FULL_OUTER_JOIN":"完全外部結合","INNER_JOIN":"内部結合","LEFT_JOIN":"左外部結合","COMPARISON":"比較","NORMALIZE_VALUES_BEFORE_DIFFING_TO_AVOID_NOISE_FROM":"差分を算出する前に値を正規化し、書式だけの変更による不要な差分を除外します。","IGNORE_COLUMN_ORDER":"カラムの順序を無視","WHEN_ENABLED_COLUMNS_ARE_ALIGNED_BY_NAME_INSTEAD":"有効にすると、カラムは位置ではなく名前に基づいて対応付けられます。","COMPARE_COLUMNS_BY_NAME":"カラム名で比較","IGNORE_WHITESPACE":"空白を無視","TRIM_LEADING_AND_TRAILING_WHITESPACE_BEFORE_COMPARING_CELL":"セルの値を比較する前に、先頭と末尾の空白を削除します。","TREAT_EXTRA_SPACES_AS_UNCHANGED":"余分な空白を変更なしとして扱う","IGNORE_CASE":"大文字と小文字を無視","USEFUL_WHEN_THE_SAME_VALUES_APPEAR_WITH_MIXED":"同じ値の大文字と小文字が混在している場合に便利です。","COMPARE_TEXT_CASE_INSENSITIVELY":"大文字と小文字を区別せずにテキストを比較","EMPTY_AND_NULL_LIKE_VALUES":"空値とnull相当の値","TREAT_EMPTY_STRINGS_NULL_UNDEFINED_AND_SIMILAR_PLACEHOLDER":"空文字列、null、undefined、および同様のプレースホルダー値を同一として扱います。","NORMALIZE_EMPTY_AND_NULL_LIKE_VALUES":"空値とnull相当の値を正規化","OUTPUT":"出力","CHOOSE_WHAT_TO_EXPORT_AND_HOW_THE_DOWNLOADABLE":"エクスポートする内容と、ダウンロードするCSVの形式を選択してください。","OUTPUT_MODE":"出力モード","SUMMARY_KEEPS_ONE_ROW_PER_RECORD_CHANGED_ROWS":"サマリーではレコードごとに1行を保持します。変更された行では編集箇所のみを対象にします。完全な差分では変更前後の値を並べて表示します。","SUMMARY_CSV":"サマリーCSV","CHANGED_ROWS_CSV":"変更された行のCSV","FULL_DIFF_CSV":"完全な差分CSV","DOWNLOAD_SEPARATOR":"ダウンロード用の区切り文字","CHOOSE_THE_DELIMITER_USED_IN_THE_DOWNLOADABLE_DIFF":"ダウンロードする差分CSVで使用する区切り文字を選択してください。","INCLUDE_UNCHANGED_ROWS":"変更のない行を含める","KEEP_UNCHANGED_ROWS_IN_THE_DOWNLOADABLE_OUTPUT_WHEN":"レコード単位の完全な監査が必要な場合、変更のない行もダウンロードする出力に含めます。","INCLUDE_UNCHANGED_ROWS_IN_EXPORT":"変更のない行をエクスポートに含める","INCLUDE_HEADER_ROW":"ヘッダー行を含める","INCLUDE_COLUMN_HEADERS_IN_THE_DOWNLOADABLE_CSV":"ダウンロードするCSVにカラムヘッダーを含めます。","ADD_CSV_HEADER_ROW":"CSVヘッダー行を追加","CSV_DIFF":"CSV差分","DIFF_PREVIEW":"差分プレビュー","DOWNLOAD_DIFFERENCES_CSV":"差分CSVをダウンロード","DATA_TABLE":"データテーブル","CHANGED_ROWS":"変更された行","SEARCH_VISIBLE_ROWS":"表示中の行を検索","COMPARISON_ERROR":"比較エラー","LARGE_CSV_FILES_STAY_IN_YOUR_BROWSER_WHILE":"大容量のCSVファイルは、ワーカーが解析して差分を算出している間もブラウザ内に保持されます。","PREVIEW_THE_CSV_DIFF_HERE":"CSVの差分をここでプレビュー","UPLOAD_TWO_CSV_FILES_CHOOSE_HOW_ROWS_SHOULD":"2つのCSVファイルをアップロードし、行の照合方法を選択すると、追加、削除、変更、変更なしの各行がこのテーブルに表示されます。","NO_ROWS_MATCH_THE_CURRENT_PREVIEW_FILTER":"現在のプレビューフィルターに一致する行はありません。","STATUS":"ステータス","ROW_NUMBER":"行番号","EXPLAIN_ROW_NUMBER_FORMAT":"行番号の形式について","KEY":"キー","LOAD_MORE_ROWS":"さらに行を読み込む","END_OF_CURRENT_RESULT_SET":"現在の結果セットの末尾です","WARNINGS":"警告","CHANGED":"変更あり","ADDED":"追加","REMOVED":"削除","UNCHANGED":"変更なし","PROCESSING":"処理中","ORIGINAL_SEPARATOR":"元のCSVの区切り文字：","UPDATED_SEPARATOR":"更新後のCSVの区切り文字：","MATCHED_BY":"照合基準：","ORIGINAL_ROWS":"元のCSVの行数：","UPDATED_ROWS":"更新後のCSVの行数：","SUMMARY":"サマリー","MAPPED_COLUMNS":"マッピング済みのカラム：","UNMAPPED_COLUMNS":"未マッピングのカラム：","DUPLICATE_KEY_ROWS_FLAGGED":"重複キーとして検出された行：","PREVIEW_COLUMNS":"プレビューするカラム：","PARSING_ORIGINAL_CSV":"元のCSVを解析中","PARSING_UPDATED_CSV":"更新後のCSVを解析中","MATCHING_ROWS":"行を照合中","COMPUTING_DIFFERENCES":"差分を算出中","FILTER_ALL":"すべて","STATUS_ALL":"すべて","FILTER_CHANGED":"変更あり","STATUS_CHANGED":"変更あり","FILTER_ADDED":"追加","STATUS_ADDED":"追加","FILTER_REMOVED":"削除","STATUS_REMOVED":"削除","FILTER_UNCHANGED":"変更なし","STATUS_UNCHANGED":"変更なし","COPIED":"コピーしました","COPY_FAILED":"コピーできませんでした","COPY_DIFFERENCES_CSV":"差分CSVをコピー","FULL_ROW":"行全体","FULL_ROW_CONTENT_2":"行全体の内容","ROW_NUMBER_TOOLTIP":"{original}行目：{updated}行目。","ORIGINAL_VALUE_HEADER":"{file} 変更前","UPDATED_VALUE_HEADER":"{file} 変更後","ROWS_CHANGED_PERCENT":"行の{percent}%が変更されています","NO_CELL_CHANGES":"セルの変更なし","NO_CHANGED_CELLS":"変更されたセルはありません。","SHOWING_ROWS":"{total}行中{visible}行を表示","SEPARATOR_OPTION_COMMA":"カンマ（,）","SEPARATOR_COMMA":"カンマ","SEPARATOR_OPTION_SEMICOLON":"セミコロン（;）","SEPARATOR_SEMICOLON":"セミコロン","SEPARATOR_OPTION_PIPE":"パイプ（|）","SEPARATOR_PIPE":"パイプ","SEPARATOR_OPTION_TAB":"タブ（\\t）","SEPARATOR_TAB":"タブ","ROW_ONLY_UPDATED":"この行は更新後のCSVにのみ存在します。","ROW_ONLY_ORIGINAL":"この行は元のCSVにのみ存在します。","COLUMN_NEW":"新しいカラム","COLUMN_DELETED":"削除されたカラム","COLUMNS_CHANGED":"{count, plural, one {#個のカラムが変更されました} other {#個のカラムが変更されました}}","COLUMN_SAME":"同一"}},"KEYWORDS":["csv diff online","compare csv files online","csv comparison tool","compare two csv files online","compare csv by id","compare csv by key column","csv diff row numbers","compare csv row numbers","csv diff join type","full outer join csv compare","csv diff ignore case","csv diff ignore whitespace","csv diff utf-8","csv diff utf-16","csv diff windows-1252","csv diff latin-1","csv diff output csv","compare large csv files online","free csv diff tool","find differences between csv files","csv changes detector","datablist tools"],"HERO_TITLE":"実務データのためのオンラインCSV diff","HERO_DESC":"このCSV比較ツールは、旧版と最新版のエクスポート、CRMスナップショット、商品カタログ、リードリストの比較向けに設計されています。ノイズの多い行単位のテキストdiffを表示する代わりに、データとして行を比較し、idやemailで行を対応付けし、実際に変更されたセルをハイライトいたします。","EXAMPLE":{"TITLE":"例: idで2つのCSVエクスポートを比較","DESCRIPTION":"これは、以前のエクスポートと新しいエクスポートを比較する一般的なworkflowです。1つの行は未変更のまま、1つの行は変更され、1つの行は消え、新しい1つの行が追加されます。","DIFF_LABEL":"差分結果"},"MATCHING":{"TITLE":"キー列でCSV行を比較","PARAGRAPHS":["通常、2つのCSVファイルをオンラインで比較する最適な方法は、`id`、`email`、`sku`、`uuid` などの安定したキーで行を対応付けることです。ツールは見つかった場合に有力なキー列を自動提案いたしますが、設定を上書きしたり、複数のキー列を選択したり、行全体の比較に切り替えたりすることも可能です。","これは、同じレコードが別の順序で含まれている場合や、エクスポート間で列の並び替えが行われた場合に特に有効です。"]},"STATUSES":{"TITLE":"追加・削除・変更・未変更の行","PARAGRAPHS":["diff結果では、行を実用的な4つのステータス、すなわち追加・削除・変更・未変更に分類します。変更された行については、どの列が変更されたか、また旧値と新値の違いをプレビューでご確認いただけます。","そのため、特に技術部門以外のチームに何が変わったのかをご説明する必要がある場合、単純なCSVテキストdiffよりも有用です。"]},"ADVANCED_TITLE":"より正確に比較するための高度なCSV diff設定","ADVANCED_DESC":"多くのオンラインCSV diffツールは基本的な比較ボタンだけで終わります。本ツールでは、キー列でCSVファイルを比較したい場合、行のjoin方法を調整したい場合、書式のみの差異を無視したい場合、またはダウンロードするdiff出力を正確に選びたい場合に、より細かな制御が可能です。","DETAIL_CARDS":[{"TITLE":"Join種別: full outer join、inner join、left join","PARAGRAPHS":["Join種別は、最終的なCSV diffにどの行を含めるかを定義します。full outer joinがデフォルトなのは、対応した行、追加された行、削除された行を含めてすべてを表示できるためです。inner joinは両方のファイルに存在する行のみを保持します。left joinは元のCSVを基準にし、主にどの元レコードが変更または消失したかを確認したい場合に便利です。","これは、「full outer join CSV compare」や「removed rowsを含めて新旧CSVファイルを比較する」といった検索意図に特に役立ちます。joinモードによってdiffの意味が変わるためです。"]},{"TITLE":"id、email、SKU、および複合キー比較のためのキー列マッチング","PARAGRAPHS":["id、email、SKU、uuid、またはその他の識別子でCSVを比較したい場合、信頼性の高い結果を得る鍵となるのがキー列設定です。行順で対応付けるのではなく、選択したキーでレコードをマッチングするため、列の並び替えや行の移動による誤差分が発生しません。","また、1つの項目だけでは十分に一意でない場合は、複数のキー列をご利用いただけます。そのため、「compare CSV by key column」や「複数列でCSVファイルを比較する」といった、より高度な用途にも適しています。"]},{"TITLE":"空白、大小文字、null相当値を無視する比較設定","PARAGRAPHS":["実際のエクスポートでは、書式の違いだけで差分が生じることが少なくありません。片方のファイルに余分なスペース、大文字のテキスト、`null`、`N/A`、空文字のようなプレースホルダー値が含まれている場合があります。比較設定では、空白の違いを無視し、大小文字の違いを無視し、空値やnull相当の値を同一として扱ったうえでdiffを計算できます。","これらのオプションは、単純なテキストdiffではなく、より高度なCSV比較ツールを求めるユーザーにとって重要です。ノイズを減らし、実際のデータ変更にプレビューの焦点を当てるのに役立ちます。"]},{"TITLE":"出力形式: summary CSV、changed rows CSV、またはfull diff CSV","PARAGRAPHS":["workflowによっては、行ステータスとキーのみを含むコンパクトなsummaryで十分な場合があります。一方で、変更された行だけのCSVや、元の値と更新後の値を横に並べたfull diff CSVが必要な場合もあります。出力設定では、こうした形式を選択し、区切り文字を指定し、未変更行をエクスポートファイルに含めるかどうかも決められます。","そのため、多くの無料オンラインCSV diffツールより柔軟にご利用いただけます。監査、ビジネスレビュー、照合作業のworkflow、または後続のスプレッドシート作業に合わせて、エクスポート結果を調整できます。"]},{"TITLE":"大容量CSVファイルをオンラインで比較","PARAGRAPHS":["本ツールは、ブラウザ内ですべての行を描画しようとせずに、大きなCSVファイルをオンラインで比較できるよう設計されています。全体件数のsummaryを計算しつつ、プレビューは扱いやすいサンプルに限定し、その後で完全なdiff結果をダウンロードすることも可能です。","大規模なエクスポート向けの無料CSV diffツールをお探しの場合、この大容量ファイルworkflowこそが本ページの主な価値です。"]},{"TITLE":"複数のCSVエンコーディングに対応","PARAGRAPHS":["実際のCSVファイルは、必ずしも標準的なUTF-8で保存されているとは限りません。本ツールは、UTF-8、BOM付きUTF-8、UTF-16 LE、UTF-16 BE、Windows-1252、Latin-1系ファイルなど、一般的なスプレッドシートおよびエクスポートのエンコーディングに対応しています。","これは、Excel、古い業務ソフト、または地域別エクスポート由来のファイルをオンラインでCSV diffしたい場合に重要です。そうしたファイルは、アクセント付き文字の文字化けや判読不能な文字が発生しやすいためです。"]},{"TITLE":"diffデータテーブル内の行番号表示","PARAGRAPHS":["キー列でCSVファイルを比較する場合、diffデータテーブルには各対応レコードの元の行番号も表示できます。行が同じ位置にある場合は1つの行番号が表示され、レコードが移動している場合は両方の行番号が表示されるため、各ファイル内で追跡できます。","これは、監査、照合作業、サポート対応において、何が変わったかだけでなく、その行が元のCSVと更新後CSVのどこにあったかを正確に説明する必要がある場合に便利です。"]},{"TITLE":"プライベートなブラウザ内処理","PARAGRAPHS":["CSVファイルの解析と比較はブラウザ内で行われます。これは、顧客エクスポート、売上スナップショット、在庫データ、その他お手元の環境に保持すべき機密性の高いスプレッドシートを扱う際に重要です。","また、結果を確認する前にサーバー側へアップロードする工程がないため、オンラインCSV diffの体験がより高速になります。"]}],"FAQ_TITLE":"よくあるご質問","FAQ_ITEMS":[{"QUESTION":"2つのCSVファイルをオンラインで比較するにはどうすればよいですか？","ANSWER":"元のCSVと更新後のCSVをアップロードし、行のマッチング方法を選択し、diffプレビューを確認した後、summaryまたはfull diff CSVをダウンロードしてください。通常は、id、email、またはその他の安定したキーでマッチングすると、最も分かりやすい結果になります。"},{"QUESTION":"idでCSVファイルを比較できますか？","ANSWER":"はい。本ツールはキー列でCSV行を比較できるよう設計されています。id、email、sku、key、uuid などの列を自動提案でき、1列だけでは不十分な場合は複数のキー列を選択することも可能です。"},{"QUESTION":"列の順序が入れ替わっている場合はどうなりますか？","ANSWER":"デフォルトでは、列の比較は位置だけでなく列名に基づいて行われます。そのため、両方のファイルに同じ列名が存在する限り、列の並び替えによって誤った差分は発生いたしません。"},{"QUESTION":"CSV diffにおけるjoin種別とは何ですか？","ANSWER":"join種別は、結果に含める行を制御します。full outer joinは、対応した行・追加された行・削除された行を含みます。inner joinは、両方のファイルに存在する行のみを含みます。left joinは元のCSVを基準にし、更新後ファイルにのみ存在する行を除外します。"},{"QUESTION":"空白や大小文字の違いは無視できますか？","ANSWER":"はい。比較設定では、空白の違いを無視し、大小文字の違いを無視し、空値やnull相当の値を同一として扱えます。これにより、書式上のノイズではなく、実際のデータ変更を見つけやすくなります。"},{"QUESTION":"どのCSVエンコーディングに対応していますか？","ANSWER":"本ツールは、UTF-8、BOM付きUTF-8、UTF-16 LE、UTF-16 BE、Windows-1252、Latin-1系ファイルなど、一般的なCSVエンコーディングに対応しています。これにより、Excel、レガシーソフトウェア、非UTF-8の業務システムから出力されたCSVにも対応しやすくなります。"},{"QUESTION":"diffで行番号を確認できますか？","ANSWER":"はい。キー列で行をマッチングした場合、diffデータテーブルには両方のファイルの行番号を表示できます。各ファイルでレコードの行番号が異なる場合は、両方の行番号が表示されるため、元のCSVまで追跡できます。"},{"QUESTION":"どのような出力形式がありますか？","ANSWER":"summary CSV、changed rows CSV、full diff CSVをエクスポートできます。出力設定では、区切り文字や、未変更行を含めるかどうかも選択可能です。"},{"QUESTION":"大きなCSVファイルも比較できますか？","ANSWER":"はい。ページの応答性を保つためプレビューは制限されますが、件数集計とダウンロード用のfull diffは引き続き計算されます。そのため、DOMを多用する単純なビューアよりも大きなエクスポートに適しています。"},{"QUESTION":"このCSV比較ツールは無料ですか？","ANSWER":"はい。このページは無料のオンラインCSV diffツールです。デスクトップアプリをインストールすることなく、CSVファイルをオンラインで比較し、差分を確認し、結果をダウンロードできます。"}],"OTHER_TOOLS_DESC":"2つのCSVファイルを比較した後、別のデータユーティリティが必要でしょうか。これらのツールは、関連するクレンジングや変換workflow向けに設計されています。"},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV行分割ツール — 区切り文字でCSVの行を分割・展開","PAGE_DESC":"区切り文字でCSVの行を分割できる無料オンラインツールです。列を選択し、セパレーターを指定するだけで、複数の値が入ったセルを値ごとに1行へ展開できます。大きなファイルにも対応し、すべてブラウザ内で処理されます。","SCHEMA_NAME":"Datablist CSV行分割ツール","SCHEMA_DESC":"無料のオンラインCSV行分割ツールです。列と区切り文字を選ぶことで、複数の値を含むセルを個別の行に分割できます。完全にブラウザ内で動作し、大きなファイルにも対応しています。","TOOL":{"CHARS":"文字","COLUMN_HELP":"各セル内に複数の値が含まれている列を選択してください。","COLUMN_LABEL":"分割する列","COPY_ARIA":"CSVをコピー","COPY_DONE_LABEL":"コピーしました。","DELIMITER_CUSTOM_HINT":"またはカスタム区切り文字を入力","DELIMITER_HELP":"セル内の値を区切るために使用される文字です。","DELIMITER_LABEL":"セルの区切り文字","EMPTY_SOURCE_LABEL":"CSVを貼り付けるか、ファイルをアップロードしてください","ERROR_MISSING_SOURCE":"先にCSVデータを貼り付けるか、CSVファイルをアップロードしてください。","NO_PREVIEW_DESC":"CSVをアップロードするかデータを貼り付けて、［行を分割］をクリックしてください。","NO_PREVIEW_TITLE":"まだプレビューはありません","OPTIONS_DUPLICATES_DESC":"セル内の各値について、最初の出現のみを保持します。","OPTIONS_DUPLICATES_LABEL":"重複を削除","OPTIONS_HEADER":"オプション","OPTIONS_SKIP_EMPTY_DESC":"分割後に空になる行を除外します。","OPTIONS_SKIP_EMPTY_LABEL":"空の値をスキップ","OPTIONS_TRIM_DESC":"各値の前後にある空白を削除します。","OPTIONS_TRIM_LABEL":"空白をトリミング","OVERLAY_DESC":"ファイルはローカルで解析され、すぐにプレビューが表示されます。","OVERLAY_TITLE":"ここにCSVファイルをドロップしてください","PASTE_LABEL":"CSVを貼り付け","PASTED_LABEL":"貼り付けたCSV","PREVIEW_LIMIT":"{total}行中{count}行","PREVIEW_SPLIT_BADGE":"分割","ROWS_AFTER":"分割後の行数","ROWS_BEFORE":"分割前の行数","STATUS_FAILED":"処理に失敗しました","STATUS_PREVIEW_READY":"プレビューの準備ができました","STATUS_PROCESSING":"CSVを処理中…","STATUS_WAITING":"入力待ち","SUBMIT_LABEL":"行を分割","TRUST_BROWSER":"ブラウザ内で処理","TRUST_LARGE_FILES":"大きなCSVファイルにも対応","TRUST_NO_UPLOAD":"サーバーへのアップロード不要","DELIMITERS":{"COMMA":"カンマ ,","SEMICOLON":"セミコロン ;","PIPE":"パイプ |","TAB":"タブ \\t"},"CUSTOM_DELIMITER":"カスタム…","PASTE_PLACEHOLDER":"氏名,メールアドレス\nMia Chen,\"mia.chen@example.test,mia@workmail.test\"\nLucas Martin,\"lucas@northwind.test,lucas@ops.test\"\nSofia Lopez,sofia.lopez@example.test","PREVIEW_DOWNLOAD_HINT":"全{total}行のうち{count}行を表示しています — すべての行を取得するにはCSVをダウンロードしてください。"},"KEYWORDS":["区切り文字でcsv行を分割","csvで列を複数行に分割","Excelでセルを複数行に分割","csvデータを正規化","csvの複数値セルを正規化","csv utf-8 utf-16 windows-1252","csv latin-1 encoding tool","expand rows csv","csv unpivot multi-value column","カンマ区切りの値を行に分割","csv explode column","unnest csv column","tidy data multiple values per cell","flatten csv column","Excelでカンマ区切りの値を複数行に分割","1つのセルに複数の値があるcsvを正規化する方法","複数値セルをcsvの行に変換オンライン","1つのセル内のemailsを複数行に分割","datablist tools"],"HERO_TITLE":"区切り文字でCSV行を分割 — 数秒で完了。Excelの数式は不要です。","HERO_DESC":"CRMからcontactsをエクスポートしたところ、すべてのemailsが1つのセルにカンマ区切りで入っていました。必要だったのは、1行につき1つのemailです。Excelでは手間がかかりましたが、このツールなら10秒で完了します。","WHY_TITLE":"複数値セルの分割が重要な理由","WHY_DESC":"CRM、eコマースプラットフォーム、アンケートのエクスポートでは、複数の値が1つのセルにまとめられていることがよくあります。tags、emails、電話番号、カテゴリなどが、区切り文字の後ろに並んで格納されます。正規化されたデータは、インポート、重複排除、フィルタリング、データエンリッチメントがしやすくなります。1行につき1つの値という形式は、多くのツールが前提としている標準です。","INTRO_CARDS":[{"TITLE":"CSVで列を複数行に分割","PARAGRAPHS":["このツールは、CSV内の1つの列を複数行に分割したい場合にご利用いただけます。1つのセルに複数のemails、tags、電話番号、カテゴリ、スキル、IDなどが区切り文字で区切られて入っているファイル向けに設計されています。","別のシステムへファイルをインポートする前に、CSVデータやCSVの複数値セルを正規化する最も迅速な方法の1つです。1つのレコードに複数の値を保持したままにするのではなく、CSV内の行を展開して、各値がそれぞれ独立した行になるようにします。"]},{"TITLE":"Excelでセルを複数行に分割する方法","PARAGRAPHS":["Excelでセルを複数行に分割する方法、あるいはExcelでカンマ区切りの値を複数行に分割する方法をお探しの方は多くいらっしゃいます。CSVファイルであれば、このオンラインツールは、数式の作成、Power Queryの使用、または行の手動コピーよりも通常は高速です。","CSVを貼り付けるかアップロードし、列を選択して区切り文字を確認し、結果をダウンロードするだけです。複数値セルをCSVの行にオンラインで変換したい場合、このページはまさにそのworkflowのために作られています。"]}],"EXAMPLES":{"EMAILS":{"TITLE":"例：複数emailを持つcontactsをemailごとに1行へ分割","DESCRIPTION":"一般的なCRMエクスポートでは、contactのすべてのemailが1つのセルにまとめられていることがあります。分割すると、各contactが個別の行に展開され、どのツールにもインポートしやすくなります。","INPUT_LABEL":"CSV入力","OUTPUT_LABEL":"CSV出力"},"TAGS":{"TITLE":"例：商品tagsを個別の行に展開","DESCRIPTION":"商品カタログでは、複数のtagsが1つのセルに入っていることがよくあります。分割することで、フィルタリング、グループ化、分析に適した、1行1tagのクリーンな構造になります。","INPUT_LABEL":"CSV入力","OUTPUT_LABEL":"CSV出力"}},"SETTINGS_CARDS":[{"TITLE":"ツールによるCSV行分割の仕組み","ITEMS":[{"TITLE":"分割する列","BODY":"1つのセル内に複数の値が入っている列を選択してください。その他の列は、新しく作成される各行に複製されます。このバージョンでは、一度に展開できる列は1つのみです。"},{"TITLE":"セルの区切り文字","BODY":"これはセル内の値を区切る文字です。CSVの列区切りとは異なります。一般的にはカンマ、セミコロン、パイプ、タブが使われます。ツールはデータに基づいて適切な区切り文字を提案します。"},{"TITLE":"前後の空白を削除","BODY":"初期設定で有効です。分割後、各値の前後にある空白文字を削除します。値が\",\"ではなく\", \"で区切られている場合に便利です。"}]},{"TITLE":"詳細オプション","ITEMS":[{"TITLE":"重複を削除","BODY":"セルに `a,a,b` が含まれている場合、このオプションを有効にすると `a` は1つだけ保持され、3行ではなく2行が生成されます。元データに意図しない重複がある場合に便利です。"},{"TITLE":"空の値をスキップ","BODY":"分割の結果として空文字が生じた場合、たとえば `a,b,` のように末尾に区切り文字があるケースでは、このオプションにより空の値を削除し、空白行を作成しません。"},{"TITLE":"空のセルは初期設定で保持されます","BODY":"セルが完全に空の場合、その行はそのまま保持されます。実際に区切り文字を含むセルだけが展開されます。"}]}],"INFO_CARDS":[{"TITLE":"大きなCSVファイルにも対応","PARAGRAPHS":["分割を行うと、行数は増加し、ときには大幅に増えることがあります。たとえば5,000行のファイルで、1セルあたり平均3つの値がある場合、15,000行になります。このツールは、そのようなケースでも問題なく処理できます。","プレビューには最初の100行のみが表示されるため、ブラウザの応答性が保たれます。分割結果が正しいことを確認した後、完全なCSVをダウンロードしてください。"]},{"TITLE":"複数のCSVエンコーディングに対応","PARAGRAPHS":["スプレッドシートや古いシステムのエクスポートから生成されたCSVファイルは、必ずしも同じエンコーディングではありません。このツールは、UTF-8、BOM付きUTF-8、UTF-16 LE、UTF-16 BE、Windows-1252、Latin-1形式のファイルなど、一般的なCSVエンコーディングに対応しています。","そのため、アクセント付き文字、特殊文字、または基本的なオンラインツールでは崩れやすい古いエクスポート形式を含むCSVファイルの行分割でも、より安心してご利用いただけます。"]},{"TITLE":"ファイルはブラウザの外に送信されません","PARAGRAPHS":["解析と分割はすべてWeb Workerを使用して、お使いのブラウザ内でローカルに実行されます。ファイルがサーバーにアップロードされることはありません。customer data、CRMエクスポート、機密性の高いcontactリストを扱う場合には重要なポイントです。","このツールは無料でご利用いただけ、アカウント登録も不要です。"]}],"USE_CASES_TITLE":"このツールを使う場面","USE_CASES":[{"TITLE":"カンマ区切りの値を行に分割","BODY":"1つのセル内の `a,b,c` を3つの個別の行に変換します。CRMやeコマースのエクスポートで最も一般的なユースケースです。"},{"TITLE":"1セルに複数emailsがあるCSVを正規化","BODY":"1人の人物に複数のemailsがあり、それらが1つの列にまとめられているcontactリストを展開し、各emailがそれぞれ独立した行になるようにします。"},{"TITLE":"複数値を含む列を行に分割","BODY":"1つのCSV列に1セルあたり複数の値が保存されている場合、それを個別の行に展開することで、ファイルのインポート、フィルタリング、分析がしやすくなります。"},{"TITLE":"tagsとカテゴリを展開","BODY":"商品カタログ、ブログ記事、サポートチケットでは、複数のtagsが1つのフィールドに保存されていることがよくあります。分析前に正規化しておくと便利です。"},{"TITLE":"電話番号を個別展開","BODY":"contactsが1つのセルに複数の電話番号を持っている場合、個別の行に分割することで、dialerやCRMへのインポートがよりクリーンになります。"},{"TITLE":"重複排除のためのtidy dataを作成","BODY":"1行につき1つの値という形式は、tidy dataの標準です。分割後は、Datablistを使って重複排除、フィルタリング、データエンリッチメントを行えます。"},{"TITLE":"インポート用データを準備","BODY":"ほとんどのCRMやmarketing platformでは、1行につき1つの値が想定されています。分割は、データのインポートやエンリッチメント前の最初のステップになることがよくあります。"}],"VOCABULARY":{"TITLE":"CSV explode、unnest、flatten、またはunpivotとは","PARAGRAPHS":["この変換は、ツールによってさまざまな表現が使われます。CSV explode column tool、CSV列をunnestする方法、CSV列をflattenする方法、あるいはCSV unpivot multi-value column workflowをお探しの場合もあるかもしれません。","実際の目的は同じです。1つのセルに複数の値があるデータをtidy data化し、1つの値を1行にすることです。この構造にすることで、結合、重複排除、グループ化、エンリッチメント、エクスポートがしやすくなります。"]},"FAQ_TITLE":"よくあるご質問","FAQ_ITEMS":[{"QUESTION":"セルの区切り文字としてセミコロンを使えますか？","ANSWER":"はい。カンマ、セミコロン、パイプ、タブ、カスタム区切り文字に対応しています。列を選択すると、データに基づいて適切な区切り文字の自動検出も試みます。"},{"QUESTION":"大きなCSVファイルでも使えますか？","ANSWER":"はい。分割処理はWeb Worker内で実行されるため、ブラウザをブロックしません。プレビューは100行までですが、ファイルに数万行ある場合でも完全な出力をダウンロードできます。"},{"QUESTION":"データはサーバーにアップロードされますか？","ANSWER":"いいえ。すべての処理はお使いのブラウザ内でローカルに実行されます。CSVがサーバーに送信されることはありません。そのため、customer data、社内エクスポート、その他アップロードしたくないデータでも安心してご利用いただけます。"},{"QUESTION":"どのCSVエンコーディングに対応していますか？","ANSWER":"UTF-8、BOM付きUTF-8、UTF-16 LE、UTF-16 BE、Windows-1252、Latin-1形式のファイルなど、一般的なCSVエンコーディングに対応しています。Excel、古いソフトウェア、またはアクセント付き文字を含むエクスポート由来のCSVでも役立ちます。"},{"QUESTION":"区切り文字を含まないセルはどうなりますか？","ANSWER":"そのまま保持されます。実際に区切り文字を含むセルだけが複数行に展開されます。空のセルも初期設定では保持されます。"},{"QUESTION":"引用符付きのCSVフィールドも正しく処理できますか？","ANSWER":"はい。内部のCSV parserが引用符付きフィールドを適切に処理します。たとえば \"mia.chen@example.test,mia@workmail.test\" のような値は1つの値として扱われ、CSVの区切り文字ではなく、セルの区切り文字に基づいて分割されます。"}],"CTA_TITLE":"分割後にデータの重複排除やエンリッチメントも必要ですか？","CTA_DESC":"データが正規化され、1行につき1つの値になった後は、Datablistでcontactsの重複排除、外部データによるエンリッチメント、任意の列でのフィルタリング、そしてクリーンな最終ファイルのエクスポートを簡単に行えます。","CTA_LABEL":"Datablistを無料で試す","OTHER_TOOLS_DESC":"CSVの分割後に別のデータユーティリティが必要ですか？これらのツールは、関連するクリーンアップや変換workflowに対応しています。"},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — 行数、サイズ、値、ルール、または日付でCSVファイルを分割","PAGE_DESC":"実運用の煩雑なエクスポート向けの無料オンラインCSV Splitterです。列を自動検出し、適切な分割オプションを提案し、出力ファイルをプレビューしたうえで、CSVまたはZIPの結果をブラウザから直接ダウンロードできます。","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"行数、ファイルサイズ、グループ化された値、ルール、日付範囲で分割できる無料オンラインCSV splitterです。すべてブラウザ内で動作し、複数ファイルのエクスポートはZIPアーカイブとしてダウンロードできます。","TOOL":{"ANALYSIS_COLUMNS":"列","ANALYSIS_DELIMITER":"区切り文字","ANALYSIS_ENCODING":"エンコーディング","ANALYSIS_ROWS":"行","DOWNLOAD_ACTIVE_FILE":"現在のファイルをダウンロード","EMPTY_SOURCE_LABEL":"CSVをアップロードするか、下に貼り付けてください","ERROR_INVALID_ROWS_PER_FILE":"1ファイルあたりの行数は、0より大きい整数である必要があります。","ERROR_LOAD_FILE":"このCSVファイルを読み込めませんでした。","ERROR_LOAD_PASTED_CSV":"貼り付けたCSVを読み取れませんでした。","ERROR_MISSING_RULES":"この分割のプレビュー前に、少なくとも1つのルールを追加してください。","ERROR_MISSING_SOURCE":"続行する前にCSVを貼り付けてください。","ERROR_MISSING_SOURCE_FOR_PREVIEW":"まずCSVをアップロードするか、貼り付けてください。","ERROR_RULE_FILE_LABEL":"この分割をプレビューする前に、各ルールに出力先ファイル名が必要です。","FILE_HINT":"CSVの区切り文字、引用符付きの改行、重複ヘッダー、エンコーディングは自動的に処理されます。","LOAD_FIRST_DESC":"ファイルをアップロードするかCSVを貼り付けてから、続行するために分割モードを選択してください。","LOAD_FIRST_TITLE":"先にCSVを読み込んでください","MODE_LOCKED_HINT":"これらの分割モードを有効にするには、CSVをアップロードするか貼り付けてください。","MODE_OPTIONS":[{"DESCRIPTION":"固定の行数でファイルを作成します。ほとんどのエクスポートで最も安全なデフォルトです。","LABEL":"行数で分割","MODE":"rows"},{"DESCRIPTION":"別のツールで大きなCSVファイルが拒否される場合に、各ファイルをおおよそのアップロード上限内に収めます。","LABEL":"ファイルサイズで分割","MODE":"size"},{"DESCRIPTION":"国、担当者、ステータス、またはその他の繰り返しカテゴリごとに1つのファイルを作成します。","LABEL":"列の値で分割","MODE":"column_value"},{"DESCRIPTION":"国、emailドメイン、会社規模などのシンプルな条件に基づいて、行を各ファイルに振り分けます。","LABEL":"ルールで分割","MODE":"conditional"},{"DESCRIPTION":"日付列を使って、行を月、年、またはISO週ごとにグループ化します。","LABEL":"日付範囲で分割","MODE":"date_range"}],"PASTE_CARD_DESC":"簡単なテストや、ファイルがすでにクリップボードにある場合に便利です。","PASTE_CARD_TITLE":"CSVを貼り付け","PASTE_DROP_HINT":"貼り付けるか、ファイルをドロップしてください","PASTED_LABEL":"貼り付けたCSV","PREPARING_MODE_DESC":"このモードでは、設定を表示する前に、より詳細な列スキャンが必要です。","PREPARING_MODE_TITLE":"この分割モードを準備中","PREVIEW_AFTER_BUILD_DESC":"分割モードを選択し、設定を調整してから、ダウンロード前に出力ファイルをプレビューしてください。","PREVIEW_AFTER_BUILD_TITLE":"プレビューは分割の作成後に表示されます","PREVIEW_PANEL_DESC":"ダウンロード前に、ファイル数、警告、および各出力のプレビューをご確認ください。","PREVIEW_PANEL_TITLE":"プレビューとダウンロード","PREVIEW_SPLIT_LABEL":"分割をプレビュー","READY_TO_SPLIT":"分割の準備ができました","STATUS_ANALYSIS_READY":"分析の準備ができました","STATUS_ANALYZING":"列を分析中…","STATUS_BUILDING_PREVIEW":"分割プレビューを作成中…","STATUS_CHOOSE_MODE":"分割モードを選択してください","STATUS_LOADING_PREVIEW":"ファイルプレビューを読み込み中…","STATUS_PREPARING_DOWNLOAD":"ファイルのダウンロードを準備中…","STATUS_PREPARING_ZIP":"ZIPアーカイブを準備中…","STATUS_PREVIEW_READY":"プレビューの準備ができました","STATUS_READY_TO_SPLIT":"分割の準備ができました","STATUS_SETTINGS_READY":"設定を調整してプレビューしてください","STATUS_UNABLE_LOAD_CSV":"CSVを読み込めません","STATUS_UNABLE_LOAD_FILE":"ファイルを読み込めません","STATUS_WAITING":"CSVファイルをお待ちしています","STATUS_ZIP_READY":"ZIPの準備ができました","UPLOAD_CSV":"CSVをアップロード","USE_CSV":"CSVを使用","UI":{"NAME_EMAIL_COUNTRY_10_ALICE_ALICE_EXAMPLE":"name,email,country\nAlice,alice@example.com,FR","ROWS_PER_FILE":"ファイルあたりの行数","MAX_SIZE_PER_FILE_BYTES":"ファイルあたりの最大サイズ（バイト）","USE_250000_FOR_ROUGHLY_250_KB_1000000":"約250 KBの場合は250000、約1 MBの場合は1000000を使用してください。","GOOD_WHEN_DOWNSTREAM_TOOLS_HAVE_UPLOAD_LIMITS":"後続ツールにアップロード制限がある場合に便利です","SIZE_BASED_CHUNKS_USE_EXACT_ROW_SIZES":"サイズベースの分割では各行の正確なサイズを使用しますが、行ごとのサイズに大きなばらつきがある場合、行数ベースの分割より結果を予測しにくくなります。","SPLIT_BY_COLUMN_S":"列で分割","USE_ONE_COLUMN_FOR_SIMPLE_SEGMENTATION_OR":"シンプルにセグメント分けする場合は1列を使用し、より細かく分割する場合は複数の列を組み合わせてください。","LIMIT_OUTPUT_FILES":"出力ファイル数を制限","RULE_BUILDER":"ルールビルダー","RULES_RUN_IN_ORDER_CHOOSE_FIRST_MATCH":"ルールは上から順に実行されます。最初に一致したルールのみを適用するか、行を複数のファイルに振り分けるかを選択してください。","ADD_RULE":"ルールを追加","RULE":"ルール","REMOVE":"削除","EQUALS":"次と等しい","DOES_NOT_EQUAL":"次と等しくない","CONTAINS":"次を含む","DOES_NOT_CONTAIN":"次を含まない","STARTS_WITH":"次で始まる","ENDS_WITH":"次で終わる","GREATER_THAN":"次より大きい","GREATER_THAN_OR_EQUAL":"次以上","LESS_THAN":"次より小さい","LESS_THAN_OR_EQUAL":"次以下","IS_EMPTY":"空である","IS_NOT_EMPTY":"空ではない","COMPARISON_VALUE":"比較値","DESTINATION_FILE_NAME":"出力先ファイル名","THIS_IS_THE_FILE_THAT_WILL_RECEIVE":"このルールに一致する行を格納するファイルです。例：enterprise、gmail、north-america。","EXAMPLE_ENTERPRISE":"例：enterprise","CASE_SENSITIVE":"大文字と小文字を区別","DATE_COLUMN":"日付列","GROUP_BY":"グループ化の単位","MONTH":"月","YEAR":"年","ISO_WEEK":"ISO週","ADVANCED_SETTINGS":"詳細設定","USE_THESE_ONLY_WHEN_THE_SIMPLE_SETUP":"シンプルな設定では不十分な場合にのみご使用ください。列の選択や細かな調整はこちらで行えます。","EXPORT_SETTINGS":"エクスポート設定","FILENAME_PATTERN":"ファイル名パターン","USE_VARIABLES_LIKE_INDEX_AND_LABEL_EXAMPLE":"{index}や{label}などの変数を使用できます。例：batch-{index}-{label}","STARTING_NUMBER":"開始番号","THE_FIRST_FILE_INDEX_USED_WHEN_INDEX":"ファイル名パターンに{index}を使用した場合の、最初のファイルのインデックスです。","COLUMNS_TO_KEEP_IN_THE_OUTPUT":"出力に残す列","PROJECTION_HAPPENS_BEFORE_THE_SPLIT_IT_REDUCES":"列の選択は分割前に適用されます。ファイルサイズを削減し、エクスポートファイルを整理できます。","SELECT_ALL":"すべて選択","UNSELECT_ALL":"すべて選択解除","ROW_SETTINGS":"行の設定","OVERLAP_ROWS":"行を重複させる","USEFUL_WHEN_BATCH_TOOLS_NEED_CONTEXT_IN":"バッチツールで次のファイルにも前後のコンテキストが必要な場合に便利です。","SHUFFLE_ROWS":"行をシャッフル","USEFUL_FOR_EXPERIMENTS_AND_SAMPLING":"実験やサンプリングに便利です。","KEEP_GROUPED_ROWS_TOGETHER":"同じグループの行をまとめる","AVOID_BREAKING_THE_SAME_GROUP_ACROSS_FILES":"同じグループが複数のファイルに分割されるのを防ぎます。","GROUPING_COLUMN":"グループ化する列","CHOOSE_A_COLUMN":"列を選択","COLUMN_VALUE_SETTINGS":"列値の設定","RARE_VALUE_HANDLING":"出現頻度の低い値の処理","KEEP_EVERY_DISTINCT_VALUE":"すべての個別値を保持","KEEP_TOP_N_VALUES_GROUP_THE_REST":"上位N個の値を保持し、残りをグループ化","GROUP_BUCKETS_BELOW_A_ROW_THRESHOLD":"行数がしきい値未満のグループをまとめる","TOP_N_VALUES_TO_KEEP":"保持する上位N個の値","MINIMUM_ROWS_PER_BUCKET":"グループあたりの最小行数","OTHER_BUCKET_LABEL":"「その他」グループのラベル","ALSO_SPLIT_LARGE_GROUPS_BY_FILE_SIZE":"大きなグループをファイルサイズでも分割","USEFUL_WHEN_ONE_SEGMENT_IS_MUCH_BIGGER":"1つのセグメントが他より大幅に大きい場合に便利です。","MAX_SIZE_PER_GROUPED_FILE_BYTES":"グループ化ファイルあたりの最大サイズ（バイト）","RULE_SETTINGS":"ルール設定","FIRST_MATCH_ONLY":"最初の一致のみ","TURN_THIS_OFF_TO_DUPLICATE_A_ROW":"1つの行を複数の出力に複製する場合は、オフにしてください。","KEEP_UNMATCHED_ROWS_IN_A_SEPARATE_FILE":"一致しない行を別ファイルに保存","TURN_THIS_ON_IF_YOU_WANT_ROWS":"どのルールにも一致しない行を個別にエクスポートする場合は、オンにしてください。","UNMATCHED_ROWS_FILE_NAME":"一致しない行のファイル名","THIS_NAME_IS_USED_FOR_THE_EXTRA":"どのルールにも一致しない行をまとめる追加ファイルに、この名前が使用されます。","DATE_SETTINGS":"日付設定","DATE_FORMAT":"日付形式","USE_A_FIXED_FORMAT_WHEN_THE_ANALYZER":"解析時の日付形式の推定が誤っている場合は、形式を固定してください。","AUTO_DETECT":"自動検出","YYYY_MM_DD":"YYYY-MM-DD","DD_MM_YYYY":"DD/MM/YYYY","MM_DD_YYYY":"MM/DD/YYYY","DD_MM_YYYY_2":"DD-MM-YYYY","MM_DD_YYYY_2":"MM-DD-YYYY","INVALID_DATES":"無効な日付","SEND_TO_A_SEPARATE_FILE":"別ファイルに出力","SKIP_INVALID_ROWS":"無効な行をスキップ","INVALID_DATE_FILE_LABEL":"無効な日付用ファイルのラベル","COLUMN_TYPE_OVERRIDES":"列タイプの上書き","USE_THIS_WHEN_A_NUMBER_OR_DATE":"数値列または日付列が誤って検出された場合にご使用ください。ルールでの比較と日付ベースの分割に影響します。","DETECTED_AS":"検出されたタイプ","TEXT":"テキスト","NUMBER":"数値","DATE":"日付","COMMA_THOUSANDS_SEPARATOR":"カンマの桁区切り","DOT_THOUSANDS_SEPARATOR":"ピリオドの桁区切り","SPACE_THOUSANDS_SEPARATOR":"スペースの桁区切り","APOSTROPHE_THOUSANDS_SEPARATOR":"アポストロフィの桁区切り","NO_THOUSANDS_SEPARATOR":"桁区切りなし","ONLY":"のみ","ROWS_SHOWN_IN_PREVIEW":"行をプレビューに表示","PREVIEW_LOADS_ON_DEMAND_FOR_THIS_FILE":"このファイルのプレビューは必要に応じて読み込まれます","LARGE_ROW_BASED_SPLITS_ONLY_PRELOAD_THE":"行数ベースで大きなファイルを分割する場合、プレビューを高速に保つため、最初のファイルのみ事前に読み込まれます。","SUGGESTED_GROUPING_COLUMNS":"推奨されるグループ化列","GROUPS":"グループ","LARGEST":"最大：","SMALLEST":"最小：","MEDIAN":"中央値：","NO_STRONG_GROUPING_COLUMN_WAS_DETECTED_ROW":"グループ化に適した列が検出されませんでした。このファイルでは、行数またはサイズによる分割がより安全な初期設定です。","FILE_ANALYSIS":"ファイル分析","DUPLICATE_HEADERS":"重複するヘッダー：","EMPTY_COLUMNS":"空の列：","LARGE_TEXT_COLUMNS":"長文テキストの列：","LEARN_MORE_ABOUT":"{title}について詳しく見る","SOMETHING_WENT_WRONG":"エラーが発生しました","TAB":"タブ","DOWNLOAD_ZIP":"ZIPをダウンロード","OUTPUT_FILES":"出力ファイル","PROJECTED_COLUMNS":"出力対象の列","LARGEST_FILE":"最大のファイル","ZIP_SIZE":"ZIPサイズ","ROWS_COUNT":"{count}行","OUTPUT_FILE_META":"{rows}行・{size}","ROWS_SHOWN":"プレビューには{count}行のみ表示されています","GROUPS_COUNT":"{count}グループ","NONE":"なし"}},"KEYWORDS":["csv splitter","split csv by column value","split csv by file size","split csv by date","split csv by rules","split large csv online","csv splitter zip download","csv split into multiple files","split csv by country","datablist tools"],"HERO_TITLE":"CSVファイルを、単なるチャンクサイズではなく意味に基づいて分割","HERO_DESC":"多くのCSV splitterツールは「1,000行ごと」といった分割で止まります。しかし、実際のエクスポートはもっと複雑です。国ごとに1ファイル、月ごとに1ファイル、enterprise accounts用に1ファイル、あるいはどの条件にも一致しなかった行のためのフォールバックファイルが必要な場合があります。このツールは、そのような実務上の現実に対応するために設計されています。","INTRO_CARDS":[{"TITLE":"分割前のスマートな分析","PARAGRAPHS":["このツールは、encoding、delimiter、重複ヘッダー、空の列、大きなテキストフィールド、低cardinalityのグルーピング列を自動検出します。推測に頼るのではなく、実用的な分割方法を選びやすくなります。","また、分割にリスクがある場合は警告も表示されます。たとえば、出力ファイル数が多すぎる、非常に小さいファイルが多すぎる、あるいは1つの巨大なバケットが他を大きく上回る場合などです。"]},{"TITLE":"大規模な実データのCSVエクスポート向けに設計","PARAGRAPHS":["大きなファイルもクライアント側に保持されます。ダウンロード前に結果をプレビューし、必要な列だけを残して、単一ファイルまたは複数ファイルをZIPアーカイブでエクスポートできます。","これは、outreachバッチ、国別の引き渡し、CRMクリーンアップ、コンプライアンスレビュー、月次の履歴データ分割に適しています。"]}],"GUIDE_TITLE":"迷いやすい設定のガイド","GUIDE_DESC":"一部の分割設定は強力ですが、初見では分かりにくいことがあります。ツール内のヘルプアイコンから以下の該当説明へ移動できるため、分割をプレビューする前に、各設定が実際に何を変更するのかをご理解いただけます。","GUIDES":[{"ID":"csv-splitter-help-rows","EXTRA_IDS":["csv-splitter-help-overlap","csv-splitter-help-grouped-rows","csv-splitter-help-size"],"ICON":"rows","TITLE":"行数、overlap、サイズベースのチャンク","DESCRIPTION":"これらは最も高速な分割モードであり、単にファイルを小さくしたい場合には通常もっとも安全です。","PARAGRAPHS":["Rows per file は、各出力の行数をおおむね同じにします。後続ツールがカテゴリや意味ではなくバッチサイズを重視する場合に最適です。","Overlap rows は、ファイルの境界で数行を重複させます。次のバッチが前のバッチの文脈を少し必要とする場合にのみご利用ください。","Keep grouped rows together は、同じaccount、company、またはorderが複数ファイルに分断されるのを防ぎます。1つのエンティティに属する行をまとめて保持したい場合に重要です。","Max size per file は、アップロード上限への対応に便利です。バイト数の目標値以下に収めることを目指しますが、行ごとの長さは異なるため、最後のファイルや一部のファイルは行数ベースのチャンクほど均一にならない場合があります。"]},{"ID":"csv-splitter-help-column-values","EXTRA_IDS":["csv-splitter-help-rare-values","csv-splitter-help-large-groups"],"ICON":"split","TITLE":"グループ化された出力とレアな値","DESCRIPTION":"値ベースの分割は、国、owner、status、またはsourceごとに1つのCSVを作成したい場合に適しており、レビューや引き渡しがしやすくなります。","PARAGRAPHS":["Split by column(s) は、一意の値または値の組み合わせごとに1つの出力を作成します。1列ならシンプルな出力になり、2列以上ではより細かなファイルに分かれます。","Rare-value handling は、単発の値によって非常に小さなファイルが大量に作成される場合に役立ちます。大きなグループだけを残し、それ以外を「other」バケットにまとめることができます。","Also split large groups by file size は、1つのカテゴリだけが他より大幅に大きい場合に便利です。グルーピングのロジックは維持しつつ、単一の巨大ファイルがエクスポート全体を支配するのを防ぎます。"]},{"ID":"csv-splitter-help-rules","EXTRA_IDS":["csv-splitter-help-unmatched"],"ICON":"rules","TITLE":"ルール、最初の一致、未一致の行","DESCRIPTION":"ルールベースの分割は、ファイルの振り分け先が単純なグルーピング列ではなく、ビジネスロジックに依存する場合に有効です。","PARAGRAPHS":["First match only は、行が最初に一致したルールで処理を止める設定です。同じ行を意図的に複数の出力ファイルへコピーしたい場合を除き、オフにしないことをおすすめします。","Keep unmatched rows in a separate file は、どのルールも満たさない行も専用のエクスポートとして保持できるようにします。","Unmatched rows file name は、その受け皿となるファイル名です。たとえば <code>needs-review.csv</code> や <code>no-rule-match.csv</code> のように、分かりやすい出力名にしたい場合に役立ちます。"]},{"ID":"csv-splitter-help-date-splits","EXTRA_IDS":["csv-splitter-help-date-format","csv-splitter-help-invalid-dates","csv-splitter-help-export-settings","csv-splitter-help-projection"],"ICON":"dates","TITLE":"日付、エクスポート設定、より整理された出力ファイル","DESCRIPTION":"これらの設定は、入力データが煩雑な場合や、エクスポート後のファイル名を既存のworkflowに合わせる必要がある場合に重要です。","PARAGRAPHS":["Date format は、解釈が曖昧な日付列のための設定です。検出結果が誤っている場合は、月、年、または週ごとにグループ化する前に想定する形式を明示的に指定してください。","Invalid dates では、不正な値をスキップするか、別ファイルに移すかを選べます。行が気づかないうちに失われるのを防ぐ、より安全な方法です。","Filename pattern は、最終的な出力名を制御します。バッチに予測可能な番号付けが必要な場合は、<code>{index}</code> や <code>{label}</code> のような変数をご利用ください。","Columns to keep in the output は、分割前に不要な列を除去します。特に、元のCSVに下流工程では不要な補助列が含まれている場合、エクスポートを軽量かつ整理された状態に保てます。"]}],"EDGE_TITLE":"このツールが対応するエッジケース","EDGE_DESC":"実際のCSVエクスポートがきれいに整っていることはほとんどありません。このツールは、一般的なsplitterでは壊れやすい厄介なケースにも対応できるよう設計されています。","EDGE_CASES":[{"ICON":"shield","TITLE":"引用付きセル、埋め込みカンマ、改行","DESCRIPTION":"引用符付きセルにカンマや改行が含まれていても、それだけで行が分割されることはありません。","BODY":"パーサーは引用付きのCSV値をそのまま保持するため、住所、メモ、長文テキストフィールドなどが、分割中に誤って別の行として扱われることはありません。"},{"ICON":"files","TITLE":"重複ヘッダー、空の列、出力projection","DESCRIPTION":"煩雑なヘッダーや過大なエクスポートは、CRM、財務、サポートのエクスポートでよく見られます。","BODY":"重複ヘッダーは比較処理が機能するよう正規化されます。空の列も特定でき、projectionを使えば出力生成前に列を削除できます。"},{"ICON":"rows","TITLE":"大容量ファイルとlazy preview","DESCRIPTION":"プレビューは判断を助けるものであり、大きなファイルの処理を妨げるべきではありません。","BODY":"大規模な行ベース分割では、ツールはプレビューを軽量に保ち、最初の出力ファイルのみを事前読み込みできます。追加のプレビューやダウンロードは、必要になった時点で生成されます。"},{"ICON":"dates","TITLE":"不正な日付、未一致ルール、不均一なグループ","DESCRIPTION":"このsplitterは、エッジケースの行を静かに破棄するのではなく、見える形で保持します。","BODY":"不正な日付を含む行は別ファイルに送ることができ、どのルールにも一致しない行も専用のエクスポートとして保持できます。また、グループ分割では、1つのセグメントだけが他より極端に大きい場合に警告を表示できます。"}],"EXAMPLES":{"COUNTRY":{"TITLE":"国またはstatusで分割","DESCRIPTION":"国、owner、status、source、またはその他の低cardinalityフィールドごとに1つのCSVが必要な場合は、グループ化された値による分割をご利用ください。"},"RULES":{"TITLE":"ルールベースの出力ファイルを作成","DESCRIPTION":"条件付きルールにより、enterprise accounts、Gmailアドレス、または何にも一致しないフォールバック行など、実務的な振り分け先を定義できます。"},"INPUT_LABEL":"入力","OUTPUT_LABEL":"出力"},"FAQ_ITEMS":[{"QUESTION":"CSVを列の値で分割できますか？","ANSWER":"はい。1つまたは複数の列を選択し、グループ数をプレビューし、必要に応じて出力ファイル数の上限を設定し、レアな値を「other」ファイルにまとめることができます。"},{"QUESTION":"CSVをファイルサイズで分割できますか？","ANSWER":"はい。ファイルごとの目標バイト数を設定できます。別のツールにアップロード制限がある場合に便利です。プレビューでは、行の長さのばらつきが大きく、見積もりの信頼性が低い場合に警告が表示されます。"},{"QUESTION":"CSVを月または年ごとに分割できますか？","ANSWER":"はい。日付列を選択し、月・年・ISO週を指定し、不正な日付を専用ファイルに入れるかスキップするかを決められます。"},{"QUESTION":"このツールはZIPアーカイブを作成しますか？","ANSWER":"はい。出力が1つの場合はCSVとしてダウンロードされます。複数ファイルに分割する場合は、大規模なセグメント化エクスポートも扱いやすいよう、ZIPとしてダウンロードされます。"}],"FAQ_TITLE":"よくあるご質問"},"ToolsDomainFinder":{"CONTENT":{"META_TITLE":"無料の会社名→ドメイン検索ツール | Datablist","META_SOCIAL_TITLE":"無料の会社名→ドメイン検索ツール","META_DESCRIPTION":"会社名を最大10件貼り付けるだけで、Webサイトをすぐに検索できます。無料で、クレジットカードは不要です。","HERO":{"TITLE":"会社名からドメインを検索","DESCRIPTION":"会社名のリストを貼り付けると、数秒でWebサイトを取得できます。無料で、カード登録も不要です。"},"PROOF":{"TITLE":"推測ではなく、実データに基づいています","EYEBROW":"データベースに実際に収録されている情報","BODY":"Datablistの有料データエンリッチメント製品と同じ企業データセットを使用しています。既知の親会社・子会社関係とも照合するため、誤ったブランドがひそかに紐づくことを防げます。","STATS":[{"value":"85%+","label":"マッチ率"},{"value":"3","label":"検索モード"},{"value":"32M","label":"企業"}]},"SOCIAL":{"TITLE":"スタートアップから大企業まで幅広く利用されています","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リード獲得ツール"}],"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":"ご利用方法","STEPS":[{"step":1,"title":"リストを貼り付けます","body":"CRMからのエクスポート、スプレッドシートの列、作成途中のリードリストなどから会社名をコピーし、無料の会社名→ドメイン検索ツールに貼り付けてください。改行またはカンマで自動的に分割し、完全に重複する項目は削除します。"},{"step":2,"title":"データベースを確認し、その後Googleで検索します","body":"各社名を、Datablistの有料データエンリッチメント製品でも使用している独自の企業データベースと照合します。信頼できる一致がない場合は、リアルタイムのGoogle検索に切り替えます。単に最初の検索結果を採用するのではなく、指定された企業との一致度に基づいて各候補をスコアリングするため、ディレクトリの掲載ページや企業についての記事を公式Webサイトとして返すことはありません。"},{"step":3,"title":"すべての結果に信頼度を表示します","body":"ドメインの一致結果は、すべてが同じ確度とは限りません。そのため、社名の一致度とドメインの検出方法に基づき、各行を「高」「中」「低」で評価します。信頼度が「高」の行はすぐにご利用いただけます。「中」または「低」の行は、outreachリストに追加する前に数秒だけご確認いただくことをおすすめします。"}],"FLOW":["企業データベース","信頼できる一致なし","リアルタイムのGoogle検索","検証済みの結果"],"CTA":{"TITLE":"500件まで無料、カード不要","BODY":"無料アカウントを作成すると10件の上限が解除され、500クレジットから始められます。","LABEL":"無料アカウントを作成"}},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"コールドoutreachのパーソナライズ","body":"emailを書く前にWebサイトを見つけ、実際の情報を冒頭文に反映できます。","ctaLabel":"コールドemailのパーソナライズガイド","ctaHref":"https://www.datablist.com/how-to/cold-email-personalization-tactics"},{"title":"リードリストのデータエンリッチメント","body":"見込み顧客リストをCRMやシーケンサーに取り込む前に、欠けているドメインを補完できます。","ctaLabel":"リードリストのデータエンリッチメントガイド","ctaHref":"https://www.datablist.com/how-to/lead-list-building-guide"},{"title":"CRMのクリーンアップ","body":"紐づけが失われた企業レコードを、実際のWebサイトに再接続できます。","ctaLabel":"CRMクリーニングガイド","ctaHref":"https://www.datablist.com/how-to/clean-enrich-refresh-data-crm"},{"title":"ニッチ企業の調査","body":"一般的な検索エンジンや古いデータベースでは見つからない、小規模企業や新しい企業のWebサイトを検索できます。","ctaLabel":"企業調査ガイド","ctaHref":"https://www.datablist.com/how-to/chatgpt-search-on-spreadsheet"}]},"COMPARISON":{"TITLE":"Datablistと他のドメイン検索ツールの比較","HEADERS":["ツール","月額料金","ドメイン単価","最適な用途"],"ROWS":[{"tool":"Datablist","cost":"$$25","perDomain":"$$0.005","bestFor":"低コストで大規模なリードリスト作成とデータエンリッチメント","favicon":"/free-tools/domain-finder/tool-favicons/datablist.png"},{"tool":"Company URL Finder","cost":"$$49","perDomain":"$$0.049","bestFor":"すでにGoogleスプレッドシートを利用しているチーム","favicon":"/free-tools/domain-finder/tool-favicons/company-url-finder.png"},{"tool":"CUFinder","cost":"$$49","perDomain":"$$0.049","bestFor":"幅広いAPI連携","favicon":"/free-tools/domain-finder/tool-favicons/cufinder.png"},{"tool":"Clay","cost":"$$185","perDomain":"$$0.0745","bestFor":"複雑なデータエンリッチメントworkflow","favicon":"/free-tools/domain-finder/tool-favicons/clay.png"},{"tool":"Phantombuster","cost":"$$69","perDomain":"変動制","bestFor":"既存のPhantombusterユーザー","favicon":"/free-tools/domain-finder/tool-favicons/phantombuster.png"},{"tool":"Marcom Robot","cost":"$$59","perDomain":"$$0.059","bestFor":"限定的な用途","favicon":"/free-tools/domain-finder/tool-favicons/marcom-robot.png"},{"tool":"BuiltWith","cost":"$$295","perDomain":"プレミアム","bestFor":"テクノロジー情報に基づく見込み顧客開拓","favicon":"/free-tools/domain-finder/tool-favicons/builtwith.png"}],"NOTE":"各料金は、2026年9月に各ベンダーの公式料金ページで確認した、月払いにおける最安の有料プランです。ドメイン単価は、そのプランに含まれる検索件数から算出しています。","SOURCES":[{"n":1,"label":"Datablistの料金","href":"https://www.datablist.com/pricing"},{"n":2,"label":"Company URL Finderのプラン","href":"https://companyurlfinder.com/plans"},{"n":3,"label":"CUFinderの料金","href":"https://cufinder.io/pricing"},{"n":4,"label":"Clayの料金","href":"https://www.clay.com/pricing"},{"n":5,"label":"Phantombusterの料金","href":"https://phantombuster.com/pricing"},{"n":6,"label":"Marcom Robotの料金","href":"https://www.marcomrobot.com/data-enrichment/pricing"},{"n":7,"label":"BuiltWithのプラン","href":"https://builtwith.com/plans"}],"CTA":{"TITLE":"ドメインごとの高額な料金は不要です","BODY":"Datablistは1ドメインあたり$0.005です。カード登録不要で、500クレジットを無料でお試しいただけます。","LABEL":"無料アカウントを作成"}},"RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理をご希望ですか？","ENRICHMENT":{"label":"Domain Finderエンリッチメント","href":"https://www.datablist.com/enrichments/find-domain-for-company-name-bulk","blurb":"一度に10件ずつではなく、スプレッドシート全体を処理できます。同じデータベース優先・Google検索補完方式で照合します。"},"TOOLS":[{"label":"Sales Navigator Scraper","href":"https://www.datablist.com/tools/sales-navigator-scraper","blurb":"LinkedInアカウントを操作することなく、検索URLからleadsを取得できます。"},{"label":"無料Email Finder","href":"https://www.datablist.com/tools/email-finder","blurb":"氏名と会社名から仕事用emailを検索できます。"},{"label":"会社名クリーナー","href":"https://www.datablist.com/tools/company-name-cleaner","blurb":"AIクリーナーで法人格を示す接尾辞を削除し、大文字・小文字を整えます。"}]},"FAQ":{"TITLE":"よくあるご質問","ITEMS":[{"question":"無料でいくつのドメインを検索できますか？","answer":"1回につき10件まで、アカウント登録もカード登録も不要です。ツールの大規模な自動実行を防ぐ公正利用の範囲内で、必要なときに何度でも再実行できます。"},{"question":"一度に10件を超えて処理する必要がある場合はどうすればよいですか？","answer":"無料アカウントを作成すると10件の上限がなくなり、500無料クレジットで大きなバッチをすぐにお試しいただけます。定期的に一括利用する場合、Starterプランでは毎月5,000クレジットをご利用いただけます。ドメインデータベースでの一致は1件あたり$0.005、Google検索は1件あたり$0.0125です。"},{"question":"Clearbitの無料Name to Domain APIはどうなりましたか？","answer":"2025年4月30日に提供を終了しました。本ツールは単独でそのまま代替でき、Clearbitにはなかった行ごとの信頼度評価も備えています。"},{"question":"このツールをAPI経由で利用できますか？","answer":"はい。Datablistでは、企業のWebサイトをプログラムから検索できる会社名→ドメインAPIをご提供しています。設定手順については、datablist.com/how-to/company-name-to-domain-api-enrichmentのAPI実装ガイドをご覧ください。"}]},"BREADCRUMB_CURRENT":"ドメイン検索","SCHEMA_NAME":"Datablist無料会社名→ドメイン検索ツール","SCHEMA_DESCRIPTION":"無料で利用できるオンラインの会社名→ドメイン検索ツールです。会社名のリストを貼り付けると、各一致結果の信頼度とともにWebサイトを取得できます。"},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Domain Finder","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than 10 company names?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and find company domains across your entire list. Review the matches, keep your original columns, and export the enriched results.","BULK_CTA":"Explore bulk Domain Finder","API_TITLE":"Find company domains from your code","API_DESCRIPTION":"Use the Company Name to Domain API to add domain lookups to your application or automated workflow. Send a company name and retrieve its domain programmatically.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"お客様のリスト","DESCRIPTION":"会社名を最大10件貼り付けると、数秒でドメインを検索できます。","PLACEHOLDERS":["Datablist","Celonis","会社名"],"ROW_LABEL":"会社名、行{number}","REMOVE_ROW":"行{number}を削除","ADD_ROW":"行を追加","ROW_LIMIT":"無料ツールでは10行が上限です。","EMPTY":"会社名を貼り付けるか入力して開始してください","READY_ONE":"1件の会社名を処理できます","READY_MANY":"{count}件の会社名を処理できます","FIND_ONE":"ドメインを検索","FIND_MANY":"ドメインを検索","SAMPLE_BUTTON":"サンプル結果を見る","SAMPLE_NOTICE":"サンプル結果 · この10件は例示用です。信頼度はサンプルであり、リアルタイムのスコアではありません。クレジットは使用されていません。","REJECTED_ONE":"1件は会社名と判断できなかったため、スキップされました。","REJECTED_MANY":"{count}件は会社名と判断できなかったため、スキップされました。","OVERFLOW":"{count}件の会社名が貼り付けられました。無料で実行されたのは最初の10件のみです。無料トライアルでは最大500件の検索をご利用いただけます（1件につき1クレジット）。","PROCESS_ALL":"{count}件すべてを処理","NUMBER":"#","COMPANY_NAME":"会社名","DOMAIN":"ドメイン","CONFIDENCE":"信頼度","STATUS":"ステータス","NO_MATCH":"一致する結果が見つかりません","COPY_ROW":"{name}のドメインをコピー","START_OVER":"最初からやり直す","COPY_ALL":"すべてコピー","DOWNLOAD_CSV":"CSVをダウンロード","DOWNLOAD_FILENAME":"domains.csv","HIGH":"高","MEDIUM":"中","LOW":"低","VERY_LOW":"非常に低い","PRIVACY":"会社名と結果は、このブラウザで24時間ご利用いただけます。Datablistでは、検索処理の完了とサポートのため、タスクデータをより長く保持します。","UNAVAILABLE":"この検索は一時的にご利用いただけません。Datablistアプリは引き続きご利用いただけます。","QUOTA_REACHED":"この無料ツールの1日あたりの上限に達しました。{hours}時間{minutes}分後に再度お試しいただくか、Datablistで続行してください。","QUOTA_RUN_TOO_LARGE":"この検索は、この無料ツールで本日ご利用可能な残りの上限を超えています。会社名を減らすか、{hours}時間{minutes}分後に再度お試しください。","QUOTA_REMAINING":"本日の残りクレジット：{limit}件中{remaining}件","QUOTA_REDUCE":"本日の残りは{remaining}クレジットです。会社名を減らしてお試しください。","QUOTA_WAIT":"本日の上限に達しました。{hours}時間{minutes}分後に再度お試しください。","CHALLENGE_REQUIRED":"検索を実行する前に認証を完了してください。","RUN_FAILED":"検索を完了できませんでした。後でもう一度お試しください。","SUBMISSION_UNKNOWN":"検索が開始されたか確認しています。ステータスを確認するには、このページを再読み込みしてください。重複して送信しないようお願いいたします。","RETRY_STATUS":"現在、検索ステータスを確認できませんでした。ページを再読み込みして、もう一度お試しください。","EXPIRED":"この結果は、このブラウザではご利用いただけなくなりました。","BANNER":"無料アカウントに登録すると、会社名からドメインを検索できる500無料クレジットを獲得できます。カード登録は不要です。","BANNER_CTA":"500無料クレジットを獲得","RESULT_CTA":"無料トライアルに登録すると、会社名からドメインを500件まで無料で検索できます！","RESULT_CTA_BUTTON":"無料トライアルを開始","CSV_NAME":"会社名","LOADING":"読み込み中","ERROR":"エラー","COMPLETE":"完了","HISTORY_TITLE":"最近の検索","HISTORY_DESCRIPTION":"結果が利用可能な間、最長24時間、このブラウザから検索を開いたり削除したりできます。ここで削除しても検索は停止せず、クレジットも返還されません。","HISTORY_REMOVE":"このブラウザから{name}を削除","HISTORY_COMPLETE":"完了","HISTORY_FAILED":"確認が必要です","HISTORY_ATTENTION":"ステータスを確認中","HISTORY_RUNNING":"処理中","COPY_ERROR":"コピーに失敗しました。もう一度お試しいただくか、CSVをダウンロードしてください。","DEBUG_NOTICE":"ベータ版アクションのデバッグ結果です。これはテストデータであり、送信された人物を検索した結果ではありません。","MORE_OPTIONS":"その他のオプション","COUNTRY_LABEL":"対象国","COUNTRY_HELP":"企業データセットとGoogle検索による補完を、特定の国に絞り込みます。","ALL_COUNTRIES":"すべての国","RUN_OPTIONS":"実行オプション","OPTION_ON":"オン","OPTION_OFF":"オフ"}},"ToolsSalesNavigatorScraper":{"CONTENT":{"META_TITLE":"無料Sales Navigatorスクレイパー | Datablist","META_SOCIAL_TITLE":"無料Sales Navigatorスクレイパー","META_DESCRIPTION":"Sales Navigatorの検索URLを貼り付けるだけで、leadsを無料でプレビューできます。LinkedInへのログイン、Cookie、セッションIDは不要なため、お客様のアカウントが危険にさらされることはありません。","SCHEMA_NAME":"Datablist無料Sales Navigatorスクレイパー","SCHEMA_DESCRIPTION":"無料のオンラインSales Navigatorスクレイパーです。検索URLを貼り付けるだけで、LinkedInアカウントに接続せずにleadsをプレビューできます。CookieやセッションIDも必要ありません。","BREADCRUMB_CURRENT":"Sales Navigatorスクレイパー","HERO":{"TITLE":"市場で最も安全なSales Navigatorスクレイパーを無料でお試しください！","DESCRIPTION":"検索URLを貼り付けるだけで、leadsをすぐにプレビューできます。"},"SAFETY":{"TITLE":"お客様のアカウントが危険にさらされない理由","ITEMS":[{"safe":true,"label":"Datablist","body":"必要なのは検索URLだけです。認証情報、Cookie、セッションID、拡張機能は一切不要です。"},{"safe":false,"label":"Chrome拡張機能","body":"Evaboot、Skrappなどのツールは、ログイン中のセッション内でクリック操作を自動化します。これはLinkedInのユーザー規約で禁止されており、リスクを負うのはお客様のアカウントです。"},{"safe":false,"label":"Cookieベースのクラウドツール","body":"Phantombusterや大半のApify Actorでは、li_atセッションCookieの貼り付けを求められます。これは、ログイン中のセッションを第三者に渡すことを意味します。"}]},"SOCIAL":{"TITLE":"スタートアップから大企業まで幅広く利用されています","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リード獲得ツール"}],"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":"ご利用方法","STEPS":[{"step":1,"title":"Sales Navigatorで検索を実行","body":"役職、職位、所在地、従業員数、業界、その他のSales Navigatorフィルターで絞り込み、検索結果を本当にアプローチしたい対象に整えます。その後、アドレスバーからURLをそのままコピーしてください。"},{"step":2,"title":"こちらにURLを貼り付け","body":"必要なのはそのURLだけです。ログイン、パスワード、ブラウザー拡張機能、開発者ツールからコピーしたセッションCookieは不要です。URLが送信される前に、Sales Navigatorが追加したアカウント固有のパラメーターを削除します。これらは必要なく、使用もしないためです。"},{"step":3,"title":"Datablist独自のインフラからスクレイピング","body":"抽出処理はDatablistのサーバー上で実行され、お客様のLinkedInセッションを経由することはありません。そのため、お客様のアカウントまで追跡されることも、LinkedInのアクティビティ上限にカウントされることもありません。結果はクリーンな表として返され、emailによるエンリッチやCRMへの送信にすぐご利用いただけます。"}],"CTA":{"TITLE":"10件だけでなく、検索結果全体をスクレイピング","BODY":"無料アカウントには500クレジットが付与され、LinkedInに接続することはありません。","LABEL":"無料アカウントを作成"}},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"リードリストをゼロから作成","body":"Sales Navigatorで詳細に絞り込んだ検索結果を、手作業でページをめくることなく、実際に活用できるクリーンで重複のないリストに変換できます。","ctaLabel":"リードリスト作成ガイド","ctaHref":"/how-to/lead-list-building-guide"},{"title":"スクレイピングしたleadsのemailを検索","body":"氏名と役職だけでは連絡できません。スクレイピングしたリストを、連絡先が見つかるまで20社以上のプロバイダーを確認するウォーターフォール型email finderにかけられます。","ctaLabel":"大規模なemail検索","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"検索結果全体を一括エクスポート","body":"Sales Navigatorの検索結果を手作業でページ送りすると、取得できるleadsは数十件に限られます。検索結果全体を一度にエクスポートできるからこそ、リストを作成する価値があります。","ctaLabel":"Sales Navigatorのleadsをエクスポート","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"アカウント停止のリスクを避けてスクレイピング","body":"人脈を失いたくないためにスクレイピングを先延ばしにしていた方には、アカウントリスクを完全に排除できるworkflowです。","ctaLabel":"安全なスクレイピングガイド","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Sales Navigatorスクレイパーの比較","INTRO":"以下の他のツールはすべて、拡張機能またはお客様が提供するセッションCookieを使用し、お客様自身のLinkedInセッションを通じてスクレイピングを実行します。アカウントに一切接続しないのはDatablistだけです。","HEADERS":["ツール","お客様のLinkedInアカウント","お客様側で必要なもの","最低料金","lead単価","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["一切接続しません","検索URL","$$25/月","$$0.05","あり、20社以上のプロバイダー"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["リスクあり","アカウント上で動作する拡張機能","$$39/月","$$0.039","あり"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["リスクあり","アカウント上で動作する拡張機能","$$9/月","$$0.09","あり"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["リスクあり","お客様のセッションCookie","$$69/月","変動","あり"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["リスクあり","お客様のセッションCookie","$$19/月","変動","なし"]}],"NOTE":"料金は、2026年9月に各ベンダーの公式料金ページで確認した、月払いにおける各ツールの最も安い有料プランです。lead単価は、そのプランに含まれるleads数を基に算出しています。","SOURCES":[{"n":1,"label":"Datablistの料金","href":"/pricing"},{"n":2,"label":"Skrappの料金","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evabootの料金","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombusterの料金","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apifyの料金","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"お客様のアカウントに一切触れない唯一のツール","BODY":"500クレジット付きで無料で始められます。拡張機能、セッションCookie、カードは不要です。","LABEL":"無料アカウントを作成"}},"RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理が必要ですか？","ENRICHMENT":{"label":"Sales Navigatorスクレイパー","href":"/sources/linkedin-search-scraper","blurb":"LinkedInアカウントに接続することなく、10件のプレビューではなく検索結果全体をスクレイピングできます。"},"TOOLS":[{"label":"無料ドメインファインダー","href":"/tools/domain-finder","blurb":"企業名からWebサイトを特定し、信頼度も表示します。"},{"label":"無料Email Finder","href":"/tools/email-finder","blurb":"氏名と企業名から仕事用emailを検索します。"},{"label":"企業名クリーナー","href":"/tools/company-name-cleaner","blurb":"AIクリーナーで法人格の表記を削除し、大文字・小文字を修正します。"}]},"FAQ":{"TITLE":"よくあるご質問","ITEMS":[{"question":"Sales Navigatorのサブスクリプションは必要ですか？","answer":"はい。Sales Navigatorの高度なフィルターによって、このツールが読み取る検索URLが生成されるため、URLを作成するには有効なサブスクリプションが必要です。ただし、そのサブスクリプションへのアクセス権をDatablistに付与していただく必要はありません。"},{"question":"他のスクレイパーが安全ではない中、なぜこれは安全なのですか？","answer":"上記の比較にある他のツールはすべて、ブラウザー拡張機能または貼り付けられたセッションCookieを介して、お客様自身のログイン済みLinkedInセッション上でスクレイピングを実行します。これはLinkedInのユーザー規約で禁止されており、規約違反への措置はお客様のアカウントに及びます。Datablistは検索URLのみを読み取り、独自のインフラから抽出するため、お客様までさかのぼって追跡できるものはありません。"},{"question":"全件スクレイピングの料金はいくらですか？","answer":"LinkedInアカウントに何も接続しない場合はlead 1件につき20クレジット、ご自身のアカウントへの接続を選択した場合は10クレジットです。Datablistは月払いで月額$25からご利用いただけ、毎月5,000クレジットが含まれます。"},{"question":"DatablistのSales Navigatorスクレイパーに制限はありますか？","answer":"はい。アカウントに紐づくフィルター（「自社ページをフォローしている」など）、保存済みリスト、CRMから同期された項目を含む検索はスクレイピングできません。これらは個人のログインの背後にあり、Datablistはそこへ接続しないためです。"}]}},"TOOL":{"LABEL":"Sales Navigatorの検索URL","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"LinkedInへのログイン、Cookie、セッションIDは不要です。お客様のアカウントに接続することはありません。","SUBMIT":"leadsをスクレイピング","BUSY":"スクレイピング中","RESULTS":"検索結果の最初の{count}件のleadsを無料で表示しています。","NAME":"氏名","JOB_TITLE":"役職","COMPANY":"企業","LOCATION":"所在地","COPY":"コピー","COPIED":"コピーしました","DOWNLOAD":"CSVをダウンロード","NOTE":"無料プレビューでは、連絡先情報を除く{count}件のleadsを表示します。全件スクレイピングを実行すると、emailとプロフィールURLをDatablistのエンリッチメントから取得できます。","ERROR_EMPTY":"Sales Navigatorの検索URLを貼り付けて開始してください。","ERROR_URL":"URLとして認識できません。","ERROR_HOST":"このリンクはLinkedInではなく、{host}を参照しています。","ERROR_PROFILE":"これは検索結果ではなく、個別のLinkedInプロフィールです。","ERROR_RECORD":"これは検索結果ではなく、Sales Navigatorの単一レコードです。","ERROR_SEARCH":"LinkedInのリンクですが、Sales Navigatorの検索URLではありません。","ERROR_FAILURE":"スクレイピングを完了できませんでした。しばらくしてからもう一度お試しください。","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"リスト全体をスクレイピング","ERROR_HINTS":{"url":"Sales Navigatorで検索結果を開き、アドレスバーのURLをコピーしてください。","host":"Sales NavigatorのURLはlinkedin.com/sales/search/で始まります。","profile":"まずSales Navigatorで検索を実行し、その検索URLをコピーしてください。","record":"検索結果に戻り、そこからURLをコピーしてください。","search":"linkedin.com/sales/search/peopleまたは/sales/search/companyで始まるURLをお探しください。"}}},"ToolsEmailFinder":{"CONTENT":{"META_TITLE":"無料メールファインダー | Datablist","META_SOCIAL_TITLE":"無料メールファインダー","META_DESCRIPTION":"Find a work email from a name and company or a LinkedIn profile. One found email free per day. Copy or download your result, with no signup required.","SCHEMA_NAME":"Datablist無料メールファインダー","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":"メールファインダー","HERO":{"TITLE":"無料メールファインダー","DESCRIPTION":"Find one work email free each day. Give a name and company, or a LinkedIn profile.\nNo signup required."},"WATERFALL":{"TITLE":"単一検索よりウォーターフォール方式が優れている理由","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":"スタートアップから大企業まで幅広く導入","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リードジェネレーションツール"}],"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":"ご利用方法","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":"無料アカウントには最初から500クレジットが付与され、リスト全体を一括処理できます。","LABEL":"無料アカウントを作成"}},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"実際に連絡できるリードリストの作成","body":"氏名と会社情報だけでは連絡できません。スクレイピングまたはエクスポートしたリストを、実際にメール送信できるリストへ変換することで、初めて価値が生まれます。","ctaLabel":"メールを大規模に検索","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"既存リストの欠損情報を補完","body":"エクスポートしたデータの多くは、一部の情報が欠けています。アドレスがない行だけを処理でき、結果が空だった行には料金がかかりません。","ctaLabel":"メール付きリードリストを作成","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"お持ちのプロバイダーキーを使用","body":"すでにHunterやDropcontactなどをご契約中ですか？お持ちのキーを使ってウォーターフォール検索を実行すれば、Datablistのクレジットシステムを使用せずに済みます。","ctaLabel":"カスタム・ウォーターフォールメールファインダー","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"送信前にパーソナライズ","body":"検証済みアドレスの取得は始まりにすぎません。メールの成果を左右するのは、冒頭の一文がその相手だけに向けて書かれたように読めるかどうかです。","ctaLabel":"コールドメールのパーソナライズ","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"実際に見つかったメール1,000件のコスト","INTRO":"クレジット単価だけでは、本当に重要な「実際に送信できるアドレスを1,000件取得するための費用」が見えません。Hunterは単一のインデックスを照会するため、メール1件あたりの料金が安価です。ウォーターフォール方式は1回の検索コストが高い一方、単一ソースにはない対象者も見つけられます。ウォーターフォール型サービスの中では、Datablistが最も低価格です。","HEADERS":["ツール","メール1,000件あたりのコスト","検索方法","未検出時"],"BEST_LABEL":"ウォーターフォール型で最安","BEST_LABEL_MOBILE":"{cost} · ウォーターフォール型で最安","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"単一ソースのインデックス","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"20社以上のプロバイダーによるウォーターフォール","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"20社以上のプロバイダーによるウォーターフォール","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"20社以上のプロバイダーによるウォーターフォール","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"独自データベース","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150以上の連携サービス","misses":"課金なし","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"要見積もり","approach":"独自データベース","misses":"非公開","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"要見積もり","approach":"独自データベース","misses":"非公開","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"見つかったメール1,000件あたりのコスト。Datablistが公開している比較資料および各ベンダーの料金ページを基に、2026年9月に確認しました。掲載されているすべてのツールは、見つかったアドレスに対してのみ課金されるため、同じ条件で比較できます。要見積もりのベンダーは料金を公開していません。","SOURCES":[{"n":1,"label":"DatablistのCPME分析","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablistの料金","href":"/pricing"},{"n":3,"label":"Hunter.ioの料金","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContactの料金","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrichの料金","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apolloの料金","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clayの料金","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"実際に取得できたメールだけにお支払い","BODY":"500クレジット付きで無料で始められます。何も見つからなかった検索には料金がかかりません。","LABEL":"無料アカウントを作成"}},"RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理が必要ですか？","ENRICHMENT":{"label":"ウォーターフォールメールファインダー","href":"/enrichments/email-finder","blurb":"Run a full list through the work-email waterfall, paying only for the addresses it finds."},"TOOLS":[{"label":"無料ドメインファインダー","href":"/tools/domain-finder","blurb":"会社名からWebサイトを検索し、信頼度も表示します。"},{"label":"Sales Navigatorスクレイパー","href":"/tools/sales-navigator-scraper","blurb":"LinkedInアカウントに触れることなく、検索URLからリードを取得します。"},{"label":"会社名クリーナー","href":"/tools/company-name-cleaner","blurb":"AIクリーナーで法人種別などの接尾辞を削除し、大文字・小文字の表記を整えます。"}]},"FAQ":{"TITLE":"よくあるご質問","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":"検索方法を選択してください","MODE_NAME":"氏名＋会社","MODE_LINKEDIN":"LinkedIn URL","FIRST_NAME":"名","LAST_NAME":"姓","COMPANY":"会社名またはドメイン","LINKEDIN":"LinkedInプロフィールURL","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"会社名よりドメインの方が高精度です。","HINT_LINKEDIN":"会社ページではなく、個人のプロフィールをご指定ください。","COPY":"コピー","COPIED":"コピーしました","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":"無料アカウントに登録すると、メール20件分に相当する500クレジットを獲得できます。カード登録は不要です。","BANNER_CTA":"無料で500クレジットを獲得","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":"無料の会社名クリーナー | Datablist","META_SOCIAL_TITLE":"無料の会社名クリーナー","META_DESCRIPTION":"AIで1回につき最大10件の会社名をクリーニングできます。大文字・小文字表記や法人種別を正規化し、結果をコピーまたはエクスポートできます。登録不要で、1日あたりの利用上限があります。","SCHEMA_NAME":"Datablist無料会社名クリーナー","SCHEMA_DESCRIPTION":"AIで1回につき最大10件の会社名をクリーニングできます。大文字・小文字表記や法人種別を正規化し、結果をコピーまたはエクスポートできます。登録不要で、1日あたりの利用上限があります。","BREADCRUMB_CURRENT":"会社名クリーナー","HERO":{"TITLE":"表記が乱れた会社名を無料で正規化","DESCRIPTION":"リストを貼り付けて大文字・小文字表記を整え、法人種別を残すかどうかを選択できます。1回につき10件まで、登録は不要です。"},"FORMULA":{"TITLE":"スプレッドシートの数式だけでは不十分な理由","QUOTE":"「認識できない法人種別が一つあるだけで壊れてしまう、巨大で入れ子になったSUBSTITUTE関数になってしまいます。」これが自作の数式に潜む落とし穴です。想定したパターンしか処理できず、新しい形式が現れるたびに、すでに読みにくい数式を編集しなければなりません。一方、AIクリーナーは会社名を文脈に沿って読み取るため、ルール化されていない法人種別、大小文字の表記方法、業界特有の略称にも対応できます。","HEADERS":["処理前","処理後","処理内容"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"すべて大文字の表記を修正し、法人種別を削除"},{"raw":"müller & söhne gmbh & co. kg","note":"小文字表記を修正し、「GmbH」単体ではなく複合的な法人種別を優先"},{"raw":"\"Tech Company, INC.\"","note":"前後の引用符と法人種別を削除"},{"raw":"SAP","note":"許可リストに登録された略称のため、そのまま維持"},{"raw":"1234567 Ontario Inc.","note":"番号を使用した会社名の形式です。使用前にクリーニング後の名称をご確認ください"}],"NOTE":"上記は説明用の例です。AIクリーナーが返すのはクリーニング済みの会社名であり、信頼度スコアや説明は返しません。重要な会社名は使用前にご確認ください。","REVIEW":"要確認"},"FIXES":{"TITLE":"修正できる項目","ITEMS":[{"icon":"Scissors","title":"法人種別の削除","body":"AIクリーナーは、認識可能な会社名を維持したまま、Inc.、LLC、Ltd.、GmbH、SASなどの法人種別を削除できます。"},{"icon":"CaseSensitive","title":"大文字・小文字表記の修正","body":"クリーナーは不統一な大文字・小文字表記を正規化し、一般に認識されている固有名や略称を維持できます。"},{"icon":"Eraser","title":"空白、引用符、句読点","body":"重複した空白を一つにまとめ、スプレッドシートからの貼り付けで残った前後の引用符を削除し、法人種別の削除後に残る末尾のコンマやピリオドも整えます。"},{"icon":"CopyCheck","title":"処理前と処理後を比較","body":"結果をコピーまたはCSVでダウンロードする前に、元の会社名とクリーニング後の会社名を比較できます。"}]},"SOCIAL":{"TITLE":"スタートアップから大企業まで幅広く導入","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リード獲得ツール"}],"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":"ご利用方法","STEPS":[{"step":1,"title":"リストを貼り付ける","body":"1行につき会社名を1件入力し、1回に最大10件まで処理できます。CRMからエクスポートしたデータ、web scrapingで取得したリードリスト、スプレッドシートの列をそのまま使用でき、大文字・小文字表記の乱れや法人種別が含まれていても問題ありません。この上限はツールの処理能力によるものではなく、各会社名の処理にクレジットが必要なために設定されています。"},{"step":2,"title":"クリーナーが各会社名を正規化","body":"AIクリーナーがクリーニング済みの会社名を返すため、元の名称と比較できます。信頼度スコアや説明は返しません。"},{"step":3,"title":"結果をコピーまたはダウンロード","body":"正規化された会社名をクリップボードへ直接コピーするか、各行の元の会社名、クリーニング後の会社名、処理ステータスを含む完全な比較結果をCSVでダウンロードできます。"}],"CTA":{"TITLE":"一度に10件を超える会社名をクリーニング","BODY":"無料アカウントには、1,000件の会社名を処理できる500クレジットが付与されます。","LABEL":"無料アカウントを作成"}},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"CRM登録前の会社名を正規化","body":"「Acme Inc」と「ACME Corporation」のような重複レコードが同じパイプラインに蓄積する前に、大文字・小文字表記の不統一や法人種別を修正できます。","ctaLabel":"会社名を正規化する方法","ctaHref":"/how-to/normalize-company-names"},{"title":"既存リストの重複を排除","body":"大文字・小文字表記や法人種別だけが異なる2行は、多くのツールで別会社として認識されます。最初に正規化すると、重複が明確になります。","ctaLabel":"会社名の重複を排除する方法","ctaHref":"/how-to/dedupe-company-names"},{"title":"古いCRMエクスポートを更新","body":"古いシステムからエクスポートしたデータには、表記の不統一が特に蓄積しやすくなります。乱れたデータをそのまま引き継がず、再インポート時に正規化できます。","ctaLabel":"CRMデータのクリーニング、エンリッチ、更新","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"email送信前にリストを正規化","body":"会社名フィールドはパーソナライズ用トークンに使用されます。不要な引用符やすべて大文字の会社名は、受信者が実際に気づきやすい細部です。","ctaLabel":"emailリストのクリーニングガイド","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"リストを無料で正規化","RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理が必要ですか？","ENRICHMENT":{"label":"会社名クリーナーのエンリッチメント","href":"/enrichments/company-name-cleaner","blurb":"同じクリーナーを10件の上限なしで、Datablist内のデータセットに直接実行できます。会社名1件につき0.5クレジットで、同じ行を再処理する場合はキャッシュが使用され、二重に課金されません。"},"TOOLS":[{"label":"無料ドメインファインダー","href":"/tools/domain-finder","blurb":"会社名からWebサイトを検索し、信頼度も表示します。"},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"LinkedInアカウントにアクセスせず、検索URLからリードを取得できます。"},{"label":"無料email finder","href":"/tools/email-finder","blurb":"氏名と会社名から仕事用emailを検索します。"}]},"FAQ":{"TITLE":"よくあるご質問","ITEMS":[{"question":"この無料ツールはAIを使用していますか？","answer":"はい。有料エンリッチメントにも採用されているDatablistのAI会社名クリーナーを使用しています。固定された法人種別リストとの照合だけでなく、文脈や業界用語も読み取ります。各会社名の処理には0.5クレジットが必要なため、1回につき10件までに制限されています。"},{"question":"無料で何件の会社名を正規化できますか？","answer":"ブラウザセッションおよびIPごとに1日5クレジットの利用枠があり、その範囲内で1回につき最大10件を処理できます。送信した会社名1件につき0.5クレジットが一時的に確保され、未使用分は処理完了時に返還されます。利用枠はUTCの午前0時にリセットされます。"},{"question":"クリーナーは信頼度スコアを返しますか？","answer":"いいえ。クリーニング済みの会社名を返します。表には、返された会社名が入力内容と異なるかどうかが表示されます。重要な会社名や曖昧な会社名は、使用前にご確認ください。"},{"question":"貼り付けた会社名はどこに送信されますか？","answer":"クリーナーはブラウザ内のスクリプトではなく、当社のインフラ上で動作するAIモデルのため、会社名は正規化処理のためにDatablistへ送信されます。ボタンを押すまで処理は開始されないため、クリップボードから読み取られた内容を送信前に正確に確認できます。"},{"question":"このツールと有料エンリッチメントの違いは何ですか？","answer":"クリーナーは同じですが、処理規模が異なります。このページではアカウントなしで一度に10件を処理できます。有料エンリッチメントでは、Datablist内のデータセットに対して10件の上限なしで直接実行でき、会社名1件につき0.5クレジットです。エクスポートして再度貼り付ける必要がなく、同じ行にはキャッシュが使用されるため二重に課金されません。"},{"question":"Datablistにすでにインポートした会社名も正規化できますか？","answer":"はい。有料エンリッチメントはDatablist内のデータセットに直接実行できるため、エクスポートして再度貼り付ける必要はありません。この無料ツールは、お手元のリストをすぐに処理したい場合に適しています。"}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use Company Name Cleaner","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than 10 company names?","BULK_DESCRIPTION":"Import your CSV or Excel file into Datablist and clean company names across your entire list. Choose whether to keep legal forms, review the cleaned names and confidence levels, and export the results with your original columns.","BULK_CTA":"Explore bulk Company Name Cleaner","API_TITLE":"Clean company names from your code","API_DESCRIPTION":"Use the Company Name Cleaner API to standardize names in your application or automated workflow. Send company names, choose whether to keep legal forms, and retrieve the cleaned names with AI-estimated confidence levels.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"会社名リスト","DESCRIPTION":"最大10件の会社名を貼り付けて、大文字・小文字表記や法人種別をクリーニングできます。","PLACEHOLDERS":["Acme Solutions LLC","MÜLLER & SÖHNE GMBH","会社名"],"ROW_LABEL":"会社名、行{number}","REMOVE_ROW":"行{number}を削除","ADD_ROW":"行を追加","ROW_LIMIT":"1回につき最大10件の会社名を処理できます。","EMPTY":"会社名を貼り付けるか入力して開始してください","READY_ONE":"1件の会社名を処理できます","READY_MANY":"{count}件の会社名を処理できます","FIND_ONE":"会社名をクリーニング","FIND_MANY":"会社名をクリーニング","SAMPLE_BUTTON":"サンプル結果を見る","SAMPLE_NOTICE":"説明用のサンプル結果です。信頼度は例示であり、実際のスコアではありません。このプレビューではクレジットを消費しません。","REJECTED_ONE":"1件の入力を使用できませんでした。形式をご確認ください。","REJECTED_MANY":"{count}件の入力を使用できませんでした。形式をご確認ください。","OVERFLOW":"{count}件の会社名が貼り付けられました。一度に処理できるのは最大10件です。","PROCESS_ALL":"Datablistで{count}件すべての会社名をクリーニング","NUMBER":"#","COMPANY_NAME":"会社名","DOMAIN":"ドメイン","CONFIDENCE":"信頼度","STATUS":"ステータス","NO_MATCH":"クリーニング済みの会社名が返されませんでした","COPY_ROW":"クリーニング済みの会社名をコピー","START_OVER":"最初からやり直す","COPY_ALL":"正規化済みの会社名をコピー","DOWNLOAD_CSV":"CSVをダウンロード","DOWNLOAD_FILENAME":"cleaned-company-names.csv","HIGH":"高","MEDIUM":"中","LOW":"低","VERY_LOW":"非常に低い","PRIVACY":"入力内容と結果は、このブラウザで24時間ご利用いただけます。Datablistでは、処理の完了およびサポートのため、タスクデータをそれより長く保持します。","UNAVAILABLE":"この無料ツールは一時的にご利用いただけません。Datablistアプリは引き続きご利用いただけます。","QUOTA_REACHED":"この無料ツールの1日あたりの利用上限に達しました。{hours}時間{minutes}分後に再度お試しいただくか、Datablistで続行してください。","QUOTA_RUN_TOO_LARGE":"この検索に必要なクレジットが、この無料ツールの本日の残り利用枠を超えています。会社名を減らすか、{hours}時間{minutes}分後に再度お試しください。","QUOTA_REMAINING":"本日の残りクレジット：{limit}中{remaining}","QUOTA_REDUCE":"本日の残りは{remaining}クレジットです。会社名を減らしてお試しください。","QUOTA_WAIT":"本日の利用上限に達しました。{hours}時間{minutes}分後に再度お試しください。","CHALLENGE_REQUIRED":"検索を実行する前に認証を完了してください。","RUN_FAILED":"処理を完了できませんでした。取得済みの結果を開くか、後でもう一度お試しください。","SUBMISSION_UNKNOWN":"検索が開始されたか確認しています。ページを再読み込みしてステータスをご確認ください。重複して送信しないでください。","RETRY_STATUS":"現在、検索のステータスを確認できませんでした。ページを再読み込みして、もう一度お試しください。","EXPIRED":"この結果は、このブラウザではご利用いただけなくなりました。","BANNER":"無料アカウントに登録すると、1,000件の会社名をクリーニングできる500クレジットを獲得できます。カード登録は不要です。","BANNER_CTA":"無料で500クレジットを獲得","RESULT_CTA":"Datablistで大規模なリストをクリーニングできます。","RESULT_CTA_BUTTON":"Datablistを開く","CSV_NAME":"会社名","LOADING":"読み込み中","ERROR":"エラー","COMPLETE":"完了","HISTORY_TITLE":"最近の検索","HISTORY_DESCRIPTION":"結果が利用可能な間、最大24時間、このブラウザから検索結果を開いたり削除したりできます。ここから削除しても検索処理は停止せず、クレジットも返還されません。","HISTORY_REMOVE":"このブラウザから{name}を削除","HISTORY_COMPLETE":"完了","HISTORY_FAILED":"要対応","HISTORY_ATTENTION":"ステータスを確認中","HISTORY_RUNNING":"処理中","CLEAN_ONE":"会社名をクリーニング","CLEAN_MANY":"会社名をクリーニング","NORMALIZE_ALL":"{count}件すべてを正規化","ORIGINAL":"元の会社名","NORMALIZED":"正規化後","WHAT_CHANGED":"変更内容","REVIEW":"要確認","DUPLICATE_OF":"「{name}」と重複","NO_CHANGE":"変更不要","CHANGES":{"spaces":"余分な空白を削除","quotes":"引用符を削除","suffix":"法人種別を削除","casing":"大文字・小文字表記を修正"},"COPY":"正規化済みの会社名をコピー","COPIED":"コピーしました","DOWNLOAD":"CSVをダウンロード","REVIEW_CTA_ONE":"1行が要確認と判定されました。クリーナーが十分な確信を持てなかったためです。DatablistのAIベースのエンリッチメントは、法人種別リストだけでなく文脈も読み取ります。","REVIEW_CTA_MANY":"{count}行が要確認と判定されました。クリーナーが十分な確信を持てなかったためです。DatablistのAIベースのエンリッチメントは、法人種別リストだけでなく文脈も読み取ります。","SEE_ENRICHMENT":"エンリッチメントを見る","DEBUG_NOTICE":"ベータ版アクションのデバッグ結果です。これはテストデータであり、送信された人物を検索した結果ではありません。","CHANGED":"変更あり","UNCHANGED":"変更なし","COPY_ERROR":"コピーに失敗しました。もう一度お試しいただくか、CSVをダウンロードしてください。","MORE_OPTIONS":"その他のオプション","KEEP_SUFFIX_LABEL":"法人種別を残す","KEEP_SUFFIX_HELP":"Inc.、LLC、Ltd.、GmbHなどの法人種別をクリーニング後の会社名に残します。","RUN_OPTIONS":"実行オプション","OPTION_ON":"オン","OPTION_OFF":"オフ","CONFIDENCE_HELP":"クリーニング後の会社名が企業の同一性を維持しているかについて、AIが推定した信頼度です。外部情報による検証結果ではありません。"}},"ToolsInstagramFollowerScraper":{"CONTENT":{"META_TITLE":"無料Instagramフォロワースクレイパー | Datablist","META_SOCIAL_TITLE":"無料Instagramフォロワースクレイパー","META_DESCRIPTION":"無料のオンラインInstagramフォロワースクレイパーです。ログイン、Cookie、ブラウザ拡張機能なしで、公開Instagramプロフィールからフォロワーを抽出できます。","SCHEMA_NAME":"Datablist無料Instagramフォロワースクレイパー","BREADCRUMB_CURRENT":"Instagramフォロワースクレイパー","HERO":{"TITLE":"無料Instagramフォロワースクレイパー","DESCRIPTION":"InstagramプロフィールのURLまたはハンドルを1件入力すると、1回の実行につき最大100人のフォロワーを取得できます。ログインやCookieは不要です。"},"SAFETY":{"TITLE":"Instagramアカウントを危険にさらさない理由","ITEMS":[{"safe":true,"label":"Datablist","body":"必要なのは公開プロフィールのURLまたはハンドルだけです。お客様個人のInstagramアカウントには一切接続せず、認証情報、Cookie、ブラウザ拡張機能も必要ありません。"},{"safe":false,"label":"Chrome拡張機能（IG Exporterなど）","body":"アクティブなブラウザセッションを利用して、スクレイピングを自動化します。Metaはセッション内の高速スクロールやAPIリクエストを監視しているため、即座にアクションがブロックされたり、アカウントが停止されたりする可能性があります。"},{"safe":false,"label":"Cookieベースのクラウドスクレイパー（PhantomBuster）","body":"DevToolsから機密性の高いsessionid Cookieをコピー＆ペーストする必要があります。ログイン済みのInstagram IDを外部サーバーに委ねることになり、アカウントが大きなリスクにさらされます。"}]},"SOCIAL":{"TITLE":"スタートアップから大企業まで、多くのお客様に信頼されています","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リードジェネレーションツール"}],"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":"ご利用方法","STEPS":[{"step":1,"title":"Instagramプロフィールまたはユーザーネームを入力","body":"公開InstagramプロフィールのURL（例：instagram.com/nike）、ハンドル（@nike）、または数値のユーザーIDを貼り付けてください。Datablistのフルアプリケーションでは、複数のインフルエンサープロフィールを一度に貼り付けることもできます。"},{"step":2,"title":"Datablistのクラウドサーバーで安全にスクレイピング","body":"抽出処理はすべてDatablist専用インフラ上で実行されます。Instagramのパスワード、二要素認証コード、セッションCookie（sessionid）を求めることは一切ないため、お客様個人のアカウントをアクションブロックやBANのリスクから100%保護できます。"},{"step":3,"title":"エクスポートし、emailと電話番号でエンリッチ","body":"整理されたフォロワー一覧をCSVまたはExcel形式でダウンロードできます。Datablistでは、スクレイピングしたハンドルを15社以上のemail・電話番号プロバイダーにウォーターフォール方式で照会し、クリエイターキャンペーン向けの検証済み連絡先情報を取得できます。"}],"CTA":{"TITLE":"プレビュー10行だけでなく、フォロワーリスト全体をスクレイピング","BODY":"Datablistの無料アカウントには500クレジット（最大50,000フォロワー分）が含まれ、Instagramへのログインは一切不要です。","LABEL":"無料アカウントを作成"}},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"オーディエンス・競合分析","body":"競合ブランドやニッチ市場のリーダーをフォローしているユーザーを正確に把握できます。共通の関心、認証率、オーディエンス属性を分析し、市場でのポジショニングを強化できます。","ctaLabel":"リードリスト作成ガイド","ctaHref":"/how-to/lead-list-building-guide"},{"title":"インフルエンサーマーケティングとクリエイター発掘","body":"業界トップクリエイターのフォロワーリストを抽出し、認証済みプロフィールや公開連絡先タグで絞り込むことで、高い成果につながるコラボレーション候補リストを作成できます。","ctaLabel":"インフルエンサースクレイピングガイド","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"Instagram leadsのemail検索","body":"Instagramハンドルだけでは、B2B outreachで直接アプローチできません。フォロワーリストをDatablistのウォーターフォール型email finderにかけることで、検証済みのビジネス用emailを見つけられます。","ctaLabel":"大規模なemail検索","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"アカウントBANのない大規模スクレイピング","body":"従来のツールでは、スクレイピング対策アルゴリズムに対してInstagramアカウントを危険にさらさざるを得ません。Datablistのサーバーサイドエンジンなら、アカウントのリスクを完全に排除できます。","ctaLabel":"Instagramフォロワーのドキュメント","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Instagramフォロワースクレイパーの比較","INTRO":"競合ツールはいずれも、アクティブなブラウザ上のクリック操作を自動化するか、機密性の高いセッションCookieの貼り付けを求めます。隔離されたクラウドインフラ上でスクレイピングを実行するプラットフォームはDatablistだけです。","HEADERS":["ツール","IGアカウント","必要なもの","料金","フォロワー単価","エンリッチメント"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"一切接続しません","needs":"プロフィールURLまたは@ハンドル","cost":"月額$25または無料トライアル","perFollower":"$$0.0001（0.01クレジット）","enrichment":"email・電話番号ウォーターフォール","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"リスクあり","needs":"お客様のセッションCookie（sessionid）","cost":"月額$69","perFollower":"時間制（約$0.003）","enrichment":"別のPhantomが必要","best":false},{"tool":"Apify","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/apify.svg","safety":"リスクあり／技術知識が必要","needs":"API設定とActor構成","cost":"月額$49","perFollower":"コンピュートユニット（変動）","enrichment":"なし（生データのみ）","best":false},{"tool":"Chrome拡張機能","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/chrome.svg","safety":"高リスク（アカウントBAN）","needs":"お客様のアカウント上の拡張機能","cost":"月額$15","perFollower":"約$0.001","enrichment":"なし","best":false}],"NOTE":"各料金は2026年9月に確認した、月払いにおける各ツールの最安プランです。Datablistのフォロワー単価は、月額$25プランにおける1フォロワーあたり0.01クレジットとして算出しています。","SOURCES":[{"n":1,"label":"Datablistの料金","href":"https://www.datablist.com/pricing"},{"n":2,"label":"PhantomBusterの料金","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apifyの料金","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Instagramへのログインを一切求めない唯一のスクレイパー","BODY":"500クレジット付きで無料で始められます。拡張機能、セッションCookie、クレジットカードは不要です。","LABEL":"無料アカウントを作成"}},"RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理が必要ですか？","ENRICHMENT":{"label":"Instagramフォロワースクレイパー","href":"/sources/instagram-followers","blurb":"複数のプロフィールから最大2,000,000人のフォロワーを一括スクレイピングし、クリエイターで絞り込んで、検証済みemailでエンリッチできます。"},"TOOLS":[{"label":"無料LinkedInプロフィールスクレイパー","href":"/tools/linkedin-profile-scraper","blurb":"任意のLinkedInプロフィールから、検証済みの職歴、スキル、現在の役職を抽出します。"},{"label":"無料Sales Navigatorスクレイパー","href":"/tools/sales-navigator-scraper","blurb":"LinkedInアカウントを接続せずに、Sales Navigatorの検索結果からleadsを抽出します。"},{"label":"無料Email Finder","href":"/tools/email-finder","blurb":"氏名とドメインをもとに、15社以上のプロバイダーを横断してウォーターフォール方式でemailを検索します。"}]},"FAQ":{"TITLE":"よくあるご質問","ITEMS":[{"question":"Instagramアカウントの接続やログイン情報の提供は必要ですか？","answer":"いいえ。Datablistがお客様のInstagramパスワード、二要素認証コード、セッションCookie（sessionid）を求めることは一切ありません。すべてのスクレイピングはDatablist専用のクラウドサーバーで実行されるため、個人用またはビジネス用のInstagramプロフィールが接続されることはなく、フラグ付けやBANの対象にもなりません。"},{"question":"100,000人を超えるフォロワーもスクレイピングできますか？","answer":"はい。Datablistでは100,000人を超えるフォロワーをスクレイピングでき、1コレクションあたり最大2,000,000件のデータセットに対応しています。抽出処理はすべてDatablist専用のクラウドインフラ上で実行されるため、大規模なフォロワーリストも、ブラウザのメモリクラッシュやレート制限による中断なしで継続的に処理できます。"},{"question":"Instagramフォロワーのスクレイピングは合法ですか？","answer":"はい。公開プロフィール上で一般公開されているデータのスクレイピングは、主要な法域で合法です。Datablistが抽出するのは未ログインの訪問者にも表示されるデータのみであり、非公開プロフィールの制限を回避することはありません。"},{"question":"どのデータ項目が抽出されますか？emailアドレスも検索できますか？","answer":"この無料ツールでは、ユーザーID、ユーザーネーム、氏名、プロフィールURL、アカウントの公開設定、認証ステータスを取得できます。公開設定または認証ステータスが不明な場合は、未指定のまま表示されます。抽出後、スクレイピングしたハンドルを、15社以上のデータプロバイダーに対応するDatablistのウォーターフォール型email・電話番号finderにかけ、検証済みの連絡先情報を取得できます。"},{"question":"DatablistでInstagramフォロワーをスクレイピングする料金はいくらですか？","answer":"フォロワーのスクレイピングには、1フォロワーあたり0.01クレジット（1クレジットで100フォロワー）がかかります。Datablistの無料アカウントには、登録時に500無料クレジット（50,000フォロワー分）が付与されます。有料プランは月額$25、5,000クレジット（500,000フォロワー分）からで、クレジットに有効期限はありません。"}]}},"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フォロワー","DESCRIPTION":"InstagramプロフィールURL、ユーザーネーム、またはハンドル","PLACEHOLDERS":["https://www.instagram.com/nike/ または @nike"],"ROW_LABEL":"Instagramプロフィール","REMOVE_ROW":"プロフィールを削除","ADD_ROW":"プロフィールを追加","ROW_LIMIT":"1回の実行につき、プロフィール1件、最大100フォロワーまでです。","EMPTY":"Instagramプロフィールを入力して開始してください","READY_ONE":"1件のプロフィールを処理できます","READY_MANY":"{count}件のプロフィールを処理できます","FIND_ONE":"フォロワーをスクレイピング","FIND_MANY":"フォロワーをスクレイピング","SAMPLE_BUTTON":"サンプル結果を見る","SAMPLE_NOTICE":"架空のフォロワーを使用したサンプルです。このプレビューはブラウザ内で実行され、クレジットは消費しません。","REJECTED_ONE":"このプロフィールは使用できませんでした。形式をご確認ください。","REJECTED_MANY":"{count}件の入力を使用できませんでした。形式をご確認ください。","OVERFLOW":"{count}件のプロフィールが貼り付けられました。この無料ツールでは一度に1件のみ処理できます。","PROCESS_ALL":"Datablistですべての{count}件のプロフィールをスクレイピング","NO_MATCH":"このプロフィールのフォロワーは取得できませんでした。","COPY_ROW":"{name}のプロフィールURLをコピー","START_OVER":"最初からやり直す","COPY_ALL":"CSVをコピー","DOWNLOAD_CSV":"CSVをダウンロード","COPY_ERROR":"コピーに失敗しました。もう一度お試しいただくか、CSVをダウンロードしてください。","PRIVACY":"入力内容と結果は、このブラウザで24時間ご利用いただけます。Datablistは処理の完了とサポートのため、タスクデータをそれより長く保持します。","UNAVAILABLE":"この無料ツールは現在一時的にご利用いただけません。Datablistアプリは引き続きご利用いただけます。","QUOTA_REACHED":"この無料ツールの1日あたりの上限に達しました。{hours}時間{minutes}分後に再度お試しいただくか、Datablistで続行してください。","QUOTA_RUN_TOO_LARGE":"このスクレイピングは、本日の残り上限を超えています。{hours}時間{minutes}分後に再度お試しください。","QUOTA_REMAINING":"本日の残りクレジット：{limit}中{remaining}","QUOTA_REDUCE":"本日の残りクレジットは{remaining}です。1日あたりの上限がリセットされるまでお待ちください。","QUOTA_WAIT":"本日の上限に達しました。{hours}時間{minutes}分後に再度お試しください。","CHALLENGE_REQUIRED":"フォロワーをスクレイピングする前に、認証を完了してください。","RUN_FAILED":"スクレイピングを完了できませんでした。取得できたフォロワーは以下に表示されています。","SUBMISSION_UNKNOWN":"スクレイピングが開始されたか確認しています。ページを再読み込みしてステータスをご確認ください。重複送信はしないでください。","RETRY_STATUS":"現在、スクレイピングのステータスを確認できませんでした。ページを再読み込みして、もう一度お試しください。","EXPIRED":"この結果は、このブラウザではご利用いただけなくなりました。","BANNER":"Datablistで大規模なフォロワーリストをスクレイピングし、エンリッチできます。カード登録不要、500無料クレジットで始められます。","BANNER_CTA":"500無料クレジットを獲得","RESULT_CTA":"Datablistで大規模なフォロワーリストをスクレイピングできます。","RESULT_CTA_BUTTON":"Datablistを開く","HISTORY_TITLE":"最近のスクレイピング","HISTORY_DESCRIPTION":"このブラウザでは、スクレイピングを最大24時間、開いたり削除したりできます。ここから削除しても、スクレイピングは停止せず、クレジットも返還されません。","HISTORY_REMOVE":"このブラウザから{name}を削除","HISTORY_COMPLETE":"完了","HISTORY_FAILED":"確認が必要","HISTORY_ATTENTION":"ステータスを確認中","HISTORY_RUNNING":"処理中","DEBUG_NOTICE":"ベータ版アクションのデバッグ結果です。これはテストデータです。","LABEL":"InstagramプロフィールURL、ユーザーネーム、またはハンドル","PLACEHOLDER":"https://www.instagram.com/cristiano/ または @nike","SCRAPE":"フォロワーをスクレイピング","SCRAPING":"スクレイピング中","SAFETY":"Instagramへのログイン、Cookie、パスワードは不要です。お客様のアカウントには一切接続しません。","SAMPLES":"または、サンプルをお試しください：","ERRORS":{"EMPTY":{"REASON":"InstagramプロフィールのURL、ユーザーネーム、またはハンドルを入力してください。"},"USERNAME":{"REASON":"有効なInstagramユーザーネームを入力してください。"},"TOO_LONG":{"REASON":"Instagramのユーザーネームは30文字以内で入力してください。"},"CHARACTERS":{"REASON":"ユーザーネームに使用できない文字が含まれています。","HINT":"Instagramのユーザーネームには、英字、数字、ピリオド、アンダースコアのみ使用できます。"},"RESERVED_HANDLE":{"REASON":"「{value}」はInstagramのシステムページであり、ユーザープロフィールではありません。"},"BAD_URL":{"REASON":"有効なURLまたはユーザーネームではないようです。","HINT":"Instagramプロフィールのリンク（例：https://www.instagram.com/cristiano/）またはハンドル（@cristiano）を入力してください。"},"WRONG_SITE":{"REASON":"これはInstagramではなく、{value}のリンクです。","HINT":"Instagramプロフィールのリンク（例：instagram.com/username）またはハンドルを入力してください。"},"HOMEPAGE":{"REASON":"これはInstagramのホームページであり、特定のプロフィールではありません。","HINT":"instagram.com/nike/ のように、末尾にユーザーネームが含まれるプロフィールURLを貼り付けてください。"},"POST":{"REASON":"これはInstagramの個別投稿またはリールへのリンクであり、プロフィールではありません。","HINT":"フォロワーをスクレイピングするには、投稿者のプロフィールページを開き、そのURLをコピーしてください。"},"STORY":{"REASON":"これはInstagramストーリーズのリンクです。","HINT":"ストーリーズは一時的なもので、公開フォロワーリストはありません。クリエイターのプロフィールURLを貼り付けてください。"},"EXPLORE":{"REASON":"これはInstagramのタグまたは発見タブのページであり、プロフィールではありません。","HINT":"フォロワーをスクレイピングするクリエイター、ブランド、またはインフルエンサーのプロフィールURLを入力してください。"},"SYSTEM_PAGE":{"REASON":"これはInstagramのシステムページを指しており、ユーザープロフィールではありません。"},"PROFILE_USERNAME":{"REASON":"このURLに含まれるプロフィールのユーザーネームは無効です。","HINT":"URLが https://www.instagram.com/username/ の形式になっているかご確認ください。"}},"SCRAPE_ERROR":"スクレイピングを完了できませんでした。しばらくしてからもう一度お試しください。","RESULTS":"@{handle}の最初の{count}人のフォロワーを無料で表示しています。","USER":"ユーザー","USER_ID":"ユーザーID","ACCOUNT_PRIVACY":"公開設定","PROFILE":"プロフィール","ID":"ID：{id}","VERIFIED":"認証済み","PRIVATE":"非公開","PUBLIC":"公開","VIEW":"表示","COPIED":"コピーしました","COPY":"コピー","DOWNLOAD":"CSVをダウンロード","SCRAPE_FULL":"リスト全体をスクレイピング","RESULT_NOTE":"無料プレビューでは、連絡先情報を除く{count}人のフォロワーを表示します。最大2,000,000人のフォロワーを一括スクレイピングし、email・電話番号finderでウォーターフォール検索するには、Datablistの以下のツールをご利用ください：","SOURCE_LABEL":"Instagramフォロワースクレイパー","CSV_HEADER":"ユーザーID,ユーザーネーム,氏名,認証済み,非公開,プロフィールURL,フォロー先","YES":"はい","NO":"いいえ","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"無料LinkedInプロフィールスクレイパー | Datablist","META_SOCIAL_TITLE":"無料LinkedInプロフィールスクレイパー","META_DESCRIPTION":"LinkedInアカウントを接続せずに、LinkedInの個人プロフィールを検索できます。取得可能な本人情報、職歴、学歴データを確認できます。1日あたりの利用上限があります。","SCHEMA_NAME":"Datablist無料LinkedInプロフィールスクレイパー","BREADCRUMB_CURRENT":"LinkedInプロフィールスクレイパー","HERO":{"TITLE":"無料LinkedInプロフィールスクレイパー","DESCRIPTION":"LinkedInまたはSales Navigatorの個人URLを貼り付けると、取得可能なプロフィール、職歴、学歴の詳細を確認できます。LinkedInへのログインやセッションCookieは不要です。"},"SAFETY":{"TITLE":"LinkedInアカウントへの接続は不要です","ITEMS":[{"safe":true,"label":"Datablist","body":"必要なのはプロフィールURLのみです。LinkedInへのログイン、セッションCookie、ブラウザ拡張機能を使用せず、Datablistのインフラ上で処理します。"},{"safe":false,"label":"Chrome拡張機能","body":"Evaboot、Skrappなどのブラウザツールは、ログイン中のブラウザセッション内でクリックやページ閲覧を自動化します。LinkedInはクライアント側の自動化を検知し、使用しているアカウントを制限します。"},{"safe":false,"label":"Cookieベースのクラウドツール","body":"Phantombusterなどのクラウド型ツールでは、機密性の高いli_atセッションCookieをコピーして貼り付ける必要があります。有効なセッションを第三者の共有サーバーに渡すと、アカウントが検知・停止されるリスクが生じます。"}]},"SOCIAL":{"TITLE":"スタートアップから大企業まで幅広くご利用いただいています","STATS":[{"value":"35,000+","label":"Datablistを利用する企業"},{"value":"20M+","label":"毎月エンリッチされる行数"},{"value":"60+","label":"リードジェネレーションツール"}],"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":"ご利用方法","STEPS":[{"step":1,"title":"LinkedInプロフィールURLをコピー","body":"LinkedInまたはSales Navigatorでスクレイピングしたいプロフィールを開き、ブラウザのアドレスバーからリンクをコピーします。通常のプロフィールURL（linkedin.com/in/...）とSales NavigatorのリードURLの両方に対応しています。"},{"step":2,"title":"こちらにURLを貼り付け","body":"上の入力欄にURLを貼り付けてください。処理前にトラッキングパラメーター（trkやlipiなど）を自動的に削除します。ログイン情報、パスワード、Chrome拡張機能、セッションCookieは一切必要ありません。"},{"step":3,"title":"構造化されたプロフィール情報を取得","body":"抽出処理は、個人のLinkedInアカウントから完全に分離されたDatablist専用インフラ上で実行されます。氏名、ヘッドライン、概要、現在の勤務先の企業属性、過去の職歴、学歴を、整理された構造化データとして取得できます。"}],"CTA":{"TITLE":"20件のプロフィールを無料で一括スクレイピング","BODY":"無料のDatablistアカウントには、最初から500クレジットが付与されます。CSVをアップロードすれば、リスト全体を数分でエンリッチできます。","LABEL":"無料アカウントを作成"}},"DATA":{"TITLE":"各LinkedInプロフィールから取得できるデータ","ITEMS":[{"icon":"UserCheck","title":"本人情報と所在地","description":"見込み顧客を正確に特定し、オーディエンスをセグメント化するための基本的な個人データです。","fields":["名","姓","氏名","ヘッドライン","自己紹介／概要","市区町村、都道府県、国","国コード（ISO-2）"]},{"icon":"Database","title":"現在の役職と企業属性","description":"ICPとの適合性を評価し、ターゲットを絞ったアウトバウンドメッセージに活用できる詳細な勤務先データです。","fields":["役職名","会社名","企業LinkedIn URL","企業Webサイト","業界","従業員数の範囲","着任日と在職期間","役職の説明"]},{"icon":"BriefcaseIcon","title":"キャリアと職歴","description":"過去2件までの役職について、取得可能な詳細情報を提供します。","fields":["過去2件の役職名","過去の会社名","在職期間と日付","職務内容と実績"]},{"icon":"Layers","title":"学歴と言語","description":"取得可能な学歴および言語の詳細情報です。","fields":["大学／学校名","取得学位","専攻分野","卒業年月","使用言語"]}]},"USE_CASES":{"TITLE":"ユースケース","ITEMS":[{"title":"コールドメールとメッセージのパーソナライズ","body":"見込み顧客の職歴、最近の転職、経歴概要をスクレイピングし、相手に響き成果につながる高度にパーソナライズされたコールドアウトリーチを作成できます。","ctaLabel":"リードリスト作成ガイド","ctaHref":"/how-to/lead-list-building-guide"},{"title":"候補者のソーシングと採用","body":"取得可能な過去の勤務先や学歴を含む候補者プロフィール全体を抽出し、整理された人材データベースへ直接取り込めます。","ctaLabel":"LinkedIn詳細情報のスクレイピングガイド","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"認証済み仕事用メールアドレスの検索","body":"Datablistの20社以上のプロバイダーを横断するウォーターフォール型emailエンリッチメントを使用し、スクレイピングした氏名と企業Webサイトから、認証済みの仕事用メールアドレスを取得できます。","ctaLabel":"大規模なemail検索","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"CRMの連絡先とアカウント情報の更新","body":"SalesforceまたはHubSpotの連絡先を最新の状態に保てます。転職、昇進、企業属性の更新を、手作業で入力することなく自動的に検出します。","ctaLabel":"CRMデータエンリッチメントガイド","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"LinkedInプロフィールスクレイパーの比較","INTRO":"多くのLinkedInスクレイパーは、利用中のセッションを自動操作するか、予測しにくい実行時間に応じて課金します。Datablistは独自のクラウドインフラ上で独立して稼働し、プロフィール単位の明確な料金体系を採用しています。","HEADERS":["ツール","LinkedInアカウント","必要なもの","料金","プロフィール単価","CSV一括処理"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/linkedin-profile-scraper/datablist.png","values":["接続しません","公開プロフィールURLのみ","$$25/月","$$0.025","対応、100k+行"],"best":true},{"tool":"Phantombuster","favicon":"/free-tools/linkedin-profile-scraper/phantombuster.png","values":["リスクあり","セッションCookie（li_at）","$$69/月","分単位の課金","制限あり"],"best":false},{"tool":"Apify","favicon":"/free-tools/linkedin-profile-scraper/apify.svg","values":["リスクあり","Actorの設定／プロキシキー","$$29/月","変動","API/JSON経由"],"best":false},{"tool":"Clay","favicon":"/free-tools/linkedin-profile-scraper/clay.png","values":["安全（データベース検索）","データベース検索（リアルタイムではありません）","$$185/月","$$0.05 - $0.10","対応"],"best":false},{"tool":"Evaboot","favicon":"/free-tools/linkedin-profile-scraper/evaboot.png","values":["リスクあり","ご利用アカウント上の拡張機能","$$9/月","$$0.09","Sales Navのみ"],"best":false}],"NOTE":"料金は、2026年9月に各ベンダーの公開中の料金ページで確認した、月払いの最安プランです。Datablistのプロフィール単価は、月額$25のプランで1プロフィールあたり25クレジットとして算出しています。","SOURCES":[{"n":1,"label":"Datablistの料金","href":"/pricing"},{"n":2,"label":"Phantombusterの料金","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apifyの料金","href":"https://apify.com/pricing"},{"n":4,"label":"Clayの料金","href":"https://clay.com/pricing"},{"n":5,"label":"Evabootの料金","href":"https://evaboot.com/pricing"}],"CTA":{"TITLE":"LinkedInアカウントに一切接続しない唯一のスクレイパー","BODY":"500クレジットを無料でご利用いただけます。拡張機能、セッションCookie、クレジットカードは不要です。","LABEL":"無料アカウントを作成"}},"RELATED":{"TITLE":"関連ツール","EYEBROW":"一括処理が必要ですか？","ENRICHMENT":{"label":"LinkedInプロフィールスクレイパー","href":"/enrichments/linkedin-profile-scraper-bulk","blurb":"LinkedInアカウントを接続せずに、DatablistでCSVから大規模なLinkedInプロフィールリストを処理できます。"},"TOOLS":[{"label":"無料Sales Navigatorスクレイパー","href":"/tools/sales-navigator-scraper","blurb":"アカウントを接続せずに、Sales Navigatorの検索結果からリードを抽出できます。"},{"label":"無料Email Finder","href":"/tools/email-finder","blurb":"氏名と企業ドメインから、認証済みの仕事用メールアドレスを検索できます。"},{"label":"無料ドメイン検索ツール","href":"/tools/domain-finder","blurb":"会社名を公式Webサイトのドメインに変換し、信頼度スコアも確認できます。"}]},"FAQ":{"TITLE":"よくあるご質問","ITEMS":[{"question":"DatablistはLinkedInアカウントに接続したり、セッションCookieを使用したりしますか？","answer":"いいえ。DatablistがLinkedInアカウントに接続することはなく、パスワードやセッションCookie（li_at）を求めることもありません。すべてのスクレイピングは公開プロフィールデータを使用し、当社専用のクラウドインフラ上で完結するため、アカウントの制限や停止のリスクを完全に排除できます。"},{"question":"スクレイピングしたプロフィールから認証済みの仕事用メールアドレスを検索できますか？","answer":"はい。Datablistでは、スクレイピングした氏名と企業ドメインを20社以上のデータプロバイダーにまたがるWaterfall Email Finderで順次検索し、メールアドレスの発見と認証を行えます。クレジットは確認済みの一致に対してのみ消費されます。"},{"question":"各LinkedInプロフィールからどのようなデータが抽出されますか？","answer":"取得可能な本人情報、ヘッドライン、概要、所在地、言語、つながり、現在の職務、過去2件までの役職、最初の学歴情報が返されます。取得できない項目は空欄になります。スキル、画像、URNは含まれません。"},{"question":"LinkedInプロフィールを一括スクレイピングし、Sales NavigatorのURLも使用できますか？","answer":"はい。Datablistは、通常のLinkedInプロフィールURLとSales NavigatorのリードURLに対応しています。数千件のリンクを含むCSVをアップロードし、約3分で1,000件のプロフィールを一括スクレイピングできます。"},{"question":"Datablistでプロフィールをスクレイピングする料金はいくらですか？","answer":"スクレイピングには、プロフィール1件あたり25クレジット（キャッシュデータの場合は20クレジット）が必要です。すべての無料アカウントには登録時に500無料クレジット（完全なプロフィール20件分）が付与されます。有料プランは5,000クレジット付きで月額$25からとなり、クレジットに有効期限はありません。"},{"question":"このツールはキャッシュされたプロフィールデータを返せますか？","answer":"はい。この無料ツールはキャッシュされたプロフィールに対応しています。データが不完全または古い場合があります。取得可能な場合、現在の役職1件、過去の役職2件まで、学歴1件を返しますが、スキル、プロフィール画像、LinkedIn URNは返しません。実行ごとに、セッションおよびIP単位で1日25クレジットの利用枠から25クレジットを確保します。"}]}},"TOOL":{"USAGE_TABS":{"LABEL":"Ways to use LinkedIn Profile Scraper","FREE_LABEL":"Free tool","BULK_LABEL":"Bulk enrichment","API_LABEL":"API","BULK_TITLE":"More than one LinkedIn profile?","BULK_DESCRIPTION":"Import a CSV or Excel file of LinkedIn profile URLs into Datablist and retrieve available profile, employment, and education details in bulk. Review the results and export the enriched list.","BULK_CTA":"Explore bulk LinkedIn Profile Scraper","API_TITLE":"Retrieve LinkedIn profile data from your code","API_DESCRIPTION":"Use the LinkedIn Profile Scraper API to add profile lookups to your application or automated workflow. Send LinkedIn profile URLs and retrieve available profile, employment, and education details.","API_CTA":"View API documentation","NEW_TAB":"(opens in a new tab)"},"TITLE":"プロフィール","DESCRIPTION":"LinkedInプロフィールURLまたはSales NavigatorのリードURLを1件入力してください","PLACEHOLDERS":["https://www.linkedin.com/in/username または https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"LinkedInプロフィールURL","REMOVE_ROW":"行{number}を削除","ADD_ROW":"別の行を追加","ROW_LIMIT":"1回の実行につきLinkedInプロフィール1件までです。","EMPTY":"LinkedInプロフィールURLを貼り付けて開始してください","READY_ONE":"このプロフィールを検索する準備ができました","READY_MANY":"このプロフィールを検索する準備ができました","FIND_ONE":"プロフィールをスクレイピング","FIND_MANY":"プロフィールをスクレイピング","SAMPLE_BUTTON":"サンプル結果を表示","SAMPLE_NOTICE":"説明用のサンプル結果です。このプレビューではクレジットを消費しません。","REJECTED_ONE":"1件の入力を使用できませんでした。形式をご確認ください。","REJECTED_MANY":"{count}件の入力を使用できませんでした。形式をご確認ください。","OVERFLOW":"一度に実行できるプロフィールは1件です。","PROCESS_ALL":"{count}件すべてを処理","NUMBER":"#","COMPANY_NAME":"会社名","DOMAIN":"ドメイン","CONFIDENCE":"信頼度","STATUS":"ステータス","NO_MATCH":"プロフィールデータが見つかりません","COPY_ROW":"{name}のドメインをコピー","START_OVER":"最初からやり直す","COPY_ALL":"CSVをコピー","DOWNLOAD_CSV":"CSVをダウンロード","DOWNLOAD_FILENAME":"linkedin-profile.csv","DOWNLOAD_JSON":"JSONをダウンロード","DOWNLOAD_JSON_FILENAME":"linkedin-profile.json","HIGH":"高","MEDIUM":"中","LOW":"低","VERY_LOW":"非常に低い","PRIVACY":"入力内容と結果は、このブラウザで24時間ご利用いただけます。Datablistは、処理の完了とサポートのためにタスクデータをそれより長く保持します。","UNAVAILABLE":"この無料ツールは現在一時的にご利用いただけません。Datablistアプリは引き続きご利用いただけます。","QUOTA_REACHED":"この無料ツールの1日あたりの利用上限に達しました。{hours}時間{minutes}分後にもう一度お試しいただくか、Datablistで続行してください。","QUOTA_RUN_TOO_LARGE":"この検索は、この無料ツールで本日利用できる残りの上限を超えています。件数を減らすか、{hours}時間{minutes}分後にもう一度お試しください。","QUOTA_REMAINING":"本日の残りクレジット：{remaining}/{limit}","QUOTA_REDUCE":"本日の残りクレジットは{remaining}です。このプロフィール検索には25クレジットが必要です。","QUOTA_WAIT":"本日の利用上限に達しました。{hours}時間{minutes}分後にもう一度お試しください。","CHALLENGE_REQUIRED":"検索を実行する前に認証を完了してください。","RUN_FAILED":"処理を完了できませんでした。取得済みの結果を開くか、後でもう一度お試しください。","SUBMISSION_UNKNOWN":"検索が開始されたか確認しています。ページを再読み込みしてステータスをご確認ください。再送信はお控えください。","RETRY_STATUS":"現在、検索ステータスを確認できませんでした。ページを再読み込みしてもう一度お試しください。","EXPIRED":"この結果は、このブラウザではご利用いただけなくなりました。","BANNER":"さらに多くのプロフィールが必要ですか？Datablistで続行できます。","BANNER_CTA":"Datablistを開く","RESULT_CTA":"DatablistでLinkedInプロフィールのリスト全体をエンリッチできます。","RESULT_CTA_BUTTON":"Datablistを開く","CSV_NAME":"氏名","LOADING":"読み込み中","ERROR":"エラー","COMPLETE":"完了","HISTORY_TITLE":"最近の検索","HISTORY_DESCRIPTION":"結果が利用可能な間、最長24時間、このブラウザから検索結果を開いたり削除したりできます。こちらで削除しても、検索処理は停止されず、クレジットも復元されません。","HISTORY_REMOVE":"このブラウザから{name}を削除","HISTORY_COMPLETE":"完了","HISTORY_FAILED":"確認が必要です","HISTORY_ATTENTION":"ステータスを確認中","HISTORY_RUNNING":"処理中","LABEL":"LinkedInプロフィールURLまたはSales NavigatorのリードURL","PLACEHOLDER":"https://www.linkedin.com/in/username または https://www.linkedin.com/sales/lead/...","SCRAPE":"プロフィールをスクレイピング","SAFETY":"LinkedInへのログイン、Cookie、セッションIDは不要です。お客様のアカウントに接続することはありません。","SAMPLES":"またはサンプルをお試しください：","RESULTS":"{name}から抽出した詳細情報です。無料でご確認いただけます。","TABLE":"データテーブル","OVERVIEW":"概要カード","PROPERTY":"項目","VALUE":"抽出値","IDENTITY":"本人情報と所在地","CURRENT":"現在の役職と企業属性","HISTORY":"職歴（{count}件）","EDUCATION_SKILLS":"学歴と言語","CONNECTIONS":"つながり","LANGUAGES":"言語","NAME":"氏名","FIRST_LAST":"名・姓","HEADLINE":"ヘッドライン","SUMMARY":"自己紹介／概要","LOCATION":"所在地","LOCATION_VALUE":"{location}（国：{country}）","PROFILE_URL":"プロフィールURL","URN":"LinkedIn URN","JOB":"現在の役職名","COMPANY":"会社名","WEBSITE":"企業Webサイト","INDUSTRY_SIZE":"業界と規模","DATES":"在職期間／日付","PREVIOUS_ROLE":"過去の役職 #{number}","ROLE_AT":"{company}の{title}","EDUCATION":"学歴 #{number}","SKILLS":"主なスキル","BIO":"自己紹介／経歴","POSITION":"現在の役職","PAST":"過去の職歴","COPY_CSV":"CSVをコピー","COPIED_CSV":"CSVをコピーしました","COPY_JSON":"JSONをコピー","COPIED_JSON":"JSONをコピーしました","DOWNLOAD":"CSVをダウンロード","FULL_LIST":"リスト全体をスクレイピング","RESULT_NOTE":"無料プレビューでは、個別プロフィールから完全なデータ項目を抽出します。アカウントへのリスクなしで、CSVから数百件または数千件のプロフィールを一括スクレイピングするには、Datablistの","COPY_ERROR":"コピーに失敗しました。もう一度お試しいただくか、CSVをダウンロードしてください。","CSV_HEADERS":["氏名","名","姓","ヘッドライン","役職名","会社名","企業Webサイト","企業LinkedIn URL","業界","従業員数の範囲","市区町村","都道府県","国","国コード","正規化済みプロフィールURL","概要","過去の職歴1：役職名","過去の職歴1：会社名","過去の職歴1：在職期間","過去の職歴2：役職名","過去の職歴2：会社名","過去の職歴2：在職期間","学校名","学位","言語"],"ERRORS":{"EMPTY":{"REASON":"LinkedInプロフィールURLを貼り付けてください。","HINT":"例：https://www.linkedin.com/in/satyanadella"},"INVALID_URL":{"REASON":"有効なURLではないようです。","HINT":"linkedin.comから始まる完全なリンクを貼り付けてください。"},"WRONG_SITE":{"REASON":"LinkedInのURLではありません。","HINT":"このURLは「{value}」を参照しています。LinkedInプロフィールのリンクを貼り付けてください。"},"COMPANY":{"REASON":"個人プロフィールではなく、企業または教育機関のページです。","HINT":"個人をスクレイピングするには、linkedin.com/in/username形式の個人プロフィールURLを貼り付けてください。"},"SEARCH":{"REASON":"プロフィールURLではなく、検索結果のURLです。","HINT":"検索結果をスクレイピングするには、無料Sales Navigatorスクレイパーをお試しください。このツールでは、プロフィールをクリックして個別リンクを貼り付けてください。"},"POST":{"REASON":"プロフィールではなく、LinkedInフィードの投稿または記事です。","HINT":"投稿者名をクリックしてプロフィールを開き、そのプロフィールURLをコピーして貼り付けてください。"},"PATH":{"REASON":"認識できないLinkedInプロフィールのパスです。","HINT":"linkedin.com/in/username形式のプロフィールリンクまたはSales NavigatorのリードURLを貼り付けてください。"}},"VERIFIED_PROFILE":"確認済みプロフィール","SCRAPED_CLEAN":"プロフィールデータ","ENRICHMENT_LABEL":"LinkedInプロフィールスクレイパー","RESULT_NOTE_SUFFIX":"一括エンリッチメントをご利用ください。","DEBUG_NOTICE":"ベータ版アクションのデバッグ結果です。送信された人物を検索した結果ではなく、テストデータです。","CHANGED":"変更あり","UNCHANGED":"変更なし","CSV_HEADER_LINE":"氏名|名|姓|ヘッドライン|役職名|会社名|企業Webサイト|企業LinkedIn URL|業界|従業員数の範囲|市区町村|都道府県|国|国コード|正規化済みプロフィールURL|概要|過去の職歴1：役職名|過去の職歴1：会社名|過去の職歴1：在職期間|過去の職歴2：役職名|過去の職歴2：会社名|過去の職歴2：在職期間|学校名|学位|言語"}},"UseCaseAiScraping":{"PAGE_TITLE":"ノーコードでAI Webスクレイピング","PAGE_DESC":"シンプルなプロンプトで数千のWebサイトをスクレイプ。DatablistのAIエージェントがご要件を理解し、ページをナビゲートして構造化データを抽出します—コードは一切不要です。","USE_CASE":"ユースケース","HERO_TITLE":"ノーコードでAI Webスクレイピング","HERO_DESC":"シンプルなプロンプトで数千のWebサイトをスクレイプ。DatablistのAIエージェントがご要件を理解し、ページをナビゲートして構造化データを抽出します—コードは一切不要です。","PROBLEM_TITLE":"従来のWebスクレイピングは壊れやすい","PROBLEM_BODY":"CSSセレクタに依存するスクレイパーは脆弱で、常に保守が必要です。サイトのレイアウトが少し変わるだけで、ワークフロー全体が破綻することがあります。DatablistのAIエージェントはコンテンツを人間のように理解するため、この課題を克服し、サイトの更新にも強くなります。","PROMPT_TITLE":"シンプルなプロンプトから構造化データへ","PROMPT_CONTENT_1":"複雑な設定は忘れてください。AIエージェントに平易な英語で必要なことを伝えるだけです。「About Us」ページからCEOの氏名を見つけたい？そう依頼してください。カテゴリーページから商品価格を抽出したい？探している内容を説明するだけで結構です。","PROMPT_CONTENT_2":"エージェントが指示を解釈し、Webを閲覧して、クリーンで構造化されたデータをスプレッドシートに直接返します。","SCALE_TITLE":"スケールのための設計、どなたでも始めやすい価格","SCALE_CONTENT_1":"10サイトでも1万サイトでも、当社のAIエージェントは対応いたします。ページネーションやプロキシ管理といった技術的な処理は自動で実行しますので、プロセスではなくデータに集中していただけます。","SCALE_CONTENT_2":"クレジット制でコスト効率に優れ、大規模なスクレイピングも手頃に実行できます。必要なときに、必要なデータを確実に入手いただけます。","ROBUST_TITLE":"あらゆるWebサイト、あらゆる変更に適応","ROBUST_CONTENT_1":"現代のWebは動的で、常に変化しています。当社のAIエージェントはレジリエントに設計されています。データの文脈や意味を理解するため、固定的なサイト構造に依存しません。","ROBUST_CONTENT_2":"その結果、より信頼性の高いデータ抽出が可能になり、壊れたスクレイパーの修正に費やす時間を削減できます。Webの複雑さはAIにお任せください。","USECASES_TITLE":"AIスクレイピングでデータの可能性を解き放つ","USECASES_LEADGEN_TITLE":"リードジェネレーションを加速","USECASES_LEADGEN_CONTENT_1":"基本的な企業属性（ファーモグラフィック）を超えて、AIエージェントで企業サイトから導入事例、使用テクノロジー、最新ニュースなどをスクレイプします。","USECASES_LEADGEN_CONTENT_2":"こうしたリッチで文脈のあるデータは、高度にパーソナライズされた効果的なアウトリーチキャンペーンの強力な原動力になります。","USECASES_MARKET_TITLE":"市場・競合リサーチを自動化","USECASES_MARKET_CONTENT_1":"手作業のリサーチに何時間も費やすのはやめましょう。競合サイトの製品アップデート、価格変更、新規求人などを自動でモニタリングできます。","USECASES_MARKET_CONTENT_2":"Trustpilot や Trusted Shops などのサイトからカスタマーレビューを収集し、センチメントを分析して市場トレンドを特定します。","USECASES_ECOMMERCE_TITLE":"EC・商品モニタリング","USECASES_ECOMMERCE_CONTENT_1":"あらゆるECサイトから商品リストをスムーズにスクレイプ。商品名、価格、SKU、説明、カスタマーレビューを抽出します。","USECASES_ECOMMERCE_CONTENT_2":"競合の在庫状況を把握し、価格戦略をモニタリングしたり、自社プラットフォーム向けに商品データを集約したりできます。","BENEFITS_TITLE":"強力なスクレイピングをシンプルに","BENEFITS_NOCODE_TITLE":"ノーコードインターフェース","BENEFITS_NOCODE_BODY":"プログラミングスキルは不要です。指示を書ければWebをスクレイプできます。直感的なインターフェースにより、どなたでもデータ抽出を簡単にご利用いただけます。","BENEFITS_FLEXIBLE_TITLE":"柔軟かつ設定自在","BENEFITS_FLEXIBLE_BODY":"スクレイピングタスクをニーズに合わせて最適化できます。単一のデータポイントだけでも、丸ごとのデータセットでも抽出可能。AIエージェントがお客様の要件に適応します。","BENEFITS_SCALABLE_TITLE":"スケーラブルかつ自動化","BENEFITS_SCALABLE_BODY":"小さなタスクから大規模なデータ収集プロジェクトまで、AIエージェントが共にスケールします。定期スクレイプをスケジュールして、データを常に新鮮に自動更新できます。","BENEFITS_PRECISE_TITLE":"高精度で構造化された出力","BENEFITS_PRECISE_BODY":"必要なデータを整然としたフォーマットで取得できます。AIエージェントが構造化された結果をスプレッドシートに直接出力し、分析やエクスポートにすぐお使いいただけます。","SEE_ALSO":"こちらもご覧ください","VIDEO_TITLE":"AIスクレイピングのデモをご覧ください","VIDEO_TEXT":"シンプルなプロンプトで1分かからずにカスタムのリードスコアリングモデルを構築する方法をご覧ください。数式不要、手間いらず。"},"UseCaseDataCleaning":{"PAGE_TITLE":"データクレンジングを自動化。","PAGE_DESC":"Datablist は、重複排除・正規化・データエンリッチメントを簡単に行える強力で使いやすいツールキットを提供し、混沌としたデータを明確で活用可能な情報へと変えます。","USE_CASE":"ユースケース","HERO_TITLE":"データクレンジングを自動化。","VIDEO_TITLE":"No.1 ノーコード・データクレンジングツール","VIDEO_TEXT":"数クリックでデータを抽出・変換・クレンジング。制限なし、もう数式は不要です。","HERO_DESC":"雑然としたスプレッドシートや散らかった CRM との格闘は終わりにしましょう。Datablist は、重複排除・正規化・データエンリッチメントを簡単に行える強力で使いやすいツールキットを提供し、混沌としたデータを明確で活用可能な状態へと変えます。","MASTER_TITLE":"混乱したデータからアクショナブルなインサイトへ","MASTER_BODY":"不正確なデータは時間とコストの損失につながります。複数のリードソース、Webスクレイピングしたコンテンツ、チームごとの入力など、起点が違うとデータは乱れ、キャンペーンの失敗や誤った意思決定を招きます。Datablist は、スケールでリストをクレンジング・統合・標準化するための中核ハブとして機能し、データを常に信頼でき、すぐに活用できる状態に保ちます。","DEDUPE_CRM_TITLE":"CRM とリストをスマートに重複排除","DEDUPE_CRM_CONTENT_1":"CRM は信頼できる唯一の情報源ですが、重複があると信頼性は損なわれます。「John Smith」と「Jon Smith」、「Example Inc.」と「Example LLC」——こうした違いが混乱を招きます。Datablist は単純なマッチングを超えたアプローチを提供します。","DEDUPE_CRM_CONTENT_2":"当社の高度なアルゴリズム（ファジー、発音類似、スマートマッチング）が類似する人物や企業を検出して統合し、重要な情報を失うことなく集約します。Pipedrive、HubSpot など、あらゆる CRM のエクスポートを数分でクリーンにできます。","MERGE_TITLE":"複数ファイルをまたいでデータを統合","MERGE_CONTENT_1":"3つのスプレッドシートにリードが分散し、別のファイルには顧客データ。重複を増やさずにどう統合しますか？手作業でのファイル結合は遅く、ミスの温床です。","MERGE_CONTENT_2":"Datablist なら簡単です。すべてのリストをインポートし、メールやWebサイトなどの一意キーを定義すれば、ツールが自動でレコードをマージします。複数ソースのデータをクリーンなマスターリストに統合します。","NORMALIZE_TITLE":"ワンクリックでデータを標準化・正規化","NORMALIZE_CONTENT_1":"不整合なデータは使えません。表記がばらつく電話番号、大小が混在する役職名、乱れたURLは、効果的なフィルタリングや自動化を妨げます。行ごとに手作業で直すのは骨が折れます。","NORMALIZE_CONTENT_2":"Datablist の一括編集ツールを使えば、データ型の修正、テキストの大文字・小文字整理、余分なスペースの除去、電話番号やURLの正規化を、数千件のレコードに一気に適用できます。基準を定め、全データセットへ適用できます。","CLEANING_GRID_TITLE":"データクレンジングの完全ツールキット","CLEANING_GRID_DESC":"生データの混乱を、価値ある整然としたアセットへ変えるために必要なものをすべて提供します。","GRID_DEDUPE_TITLE":"高度な重複排除","GRID_DEDUPE_BODY":"スプレッドシートでは対応できないスマート・ファジー・発音類似のマッチングで、類似レコードを検出してマージします。","GRID_MERGE_TITLE":"リストのマージと統合","GRID_MERGE_BODY":"複数の CSV や Excel ファイルを一意キーで突合し、単一のマスターリストへ更新・統合します。","GRID_FIX_TITLE":"データ型を整える","GRID_FIX_BODY":"テキスト項目を日付・数値・チェックボックスなどの構造化データに簡単に変換し、正確にソートやフィルタリングできます。","GRID_AI_TITLE":"AI 搭載クレンジング","GRID_AI_BODY":"AI Editing ツールで、シンプルなテキストのプロンプトからカスタムスクリプトを生成。コードを書かずに複雑なクレンジングもこなせます。","GRID_ENRICH_TITLE":"エンリッチして欠落を補完","GRID_ENRICH_BODY":"欠落データをエンリッチしてレコードを完成。企業ドメインの特定、メールの検証、プロフィール情報の取得まで。","GRID_CONSOLIDATE_TITLE":"値の統合","GRID_CONSOLIDATE_BODY":"重複による不一致データを統合。複数の電話番号やメモも、情報を失わずに単一のクリーンなレコードへまとめます。","LEARN_MORE":"詳しく見る","SEE_ALSO":"関連情報"},"UseCaseInventoryManagement":{"PAGE_TITLE":"Eコマース在庫管理を自動化","PAGE_DESC":"手作業の更新に時間を浪費するのはやめましょう。強力なノーコードプラットフォームで、サプライヤーカタログを自動で取得・クレンジング・翻訳・同期し、すべての販売チャネルに配信します。","USE_CASE":"活用事例","HERO_TITLE":"Eコマース在庫管理を自動化","HERO_DESC":"手作業の更新に時間を浪費するのはやめましょう。強力なノーコードプラットフォームで、サプライヤーカタログを自動で取得・クレンジング・翻訳・同期し、すべての販売チャネルに配信します。","INTRO_TITLE":"乱雑なカタログから完璧な商品掲載へ","INTRO_BODY":"複数のサプライヤーからのプロダクトデータ管理は、形式の不一致、重複、終わりのない手修正に追われる悪夢のような作業です。Datablist はこの混乱をシンプルで自動化されたワークフローに変え、在庫を常に正確・最新・あらゆるマーケット向けに最適な形式へ整えます。","VIDEO_TITLE":"AI 編集の実演をご覧ください","VIDEO_TEXT":"シンプルなプロンプトでカタログの単位を更新する方法をご覧いただけます。数式も手間も不要です。","FETCH_TITLE":"サプライヤーカタログを自動取得","FETCH_CONTENT_1":"手動ダウンロードや煩雑なメール添付は不要です。自動インポーターを設定すれば、URL、FTP サーバー、API などあらゆるソースからカタログファイルを取得できます。更新は毎日・毎週・毎月でスケジュールでき、常に最新のデータを保てます。","FETCH_CONTENT_2":"スマートなスクレイパーにより、サプライヤーのWebサイトから商品データを直接抽出することも可能です。お手を煩わせることなく、最新情報を継続的に取り込めます。","TRANSFORM_TITLE":"AIでデータを変換・標準化","TRANSFORM_CONTENT_1":"サプライヤーデータは、そのままではストアに適しません。ノーコードのデータクレンジングツールでカテゴリを標準化し、ブランド名から法人格表記を除去し、価格のフォーマットを統一し、重複を統合できます。","TRANSFORM_CONTENT_2":"さらに、AIを活用した変換で強化できます。魅力的な商品説明を自動生成し、国際市場向けにコンテンツを翻訳し、すべての掲載がコンバージョン最適化されるようにします。","SYNC_TITLE":"あらゆるECプラットフォームやマーケットプレイスへ同期","SYNC_CONTENT_1":"データをクリーンかつ標準化できたら、販売先へ配信しましょう。Datablist は Shopify、WooCommerce、Amazon をはじめ、あらゆる行き先に向けてカタログをシームレスに準備します。","SYNC_CONTENT_2":"各同期のステータスを明確に表示し、失敗時には自動でリトライします。マルチチャネル運用全体を、信頼できる単一の情報源から管理できます。","BENEFITS_TITLE":"自動化された在庫ワークフローの強み","BENEFITS_SCALE_TITLE":"巨大なカタログを処理","BENEFITS_SCALE_BODY":"数十万点、数百万点規模の商品リストも難なく管理できます。パフォーマンスとスケールを前提に設計されたプラットフォームです。","BENEFITS_FLEXIBLE_TITLE":"柔軟で簡単に設定可能","BENEFITS_FLEXIBLE_BODY":"直感的なノーコードUIで、複雑なデータ変換ワークフローを数週間ではなく数分で構築できます。開発者は不要です。","BENEFITS_RELIABLE_TITLE":"信頼性の高い自動化","BENEFITS_RELIABLE_BODY":"ワークフローを一度設定すれば、あとは任せるだけ。明確なステータス追跡と再試行可能な同期により、必要な場所にデータが常に届くと安心してお任せいただけます。","BENEFITS_COST_TITLE":"コスト効率に優れたパワー","BENEFITS_COST_BODY":"クレジット制を活用し、使った分だけお支払い。従来型ソリューションの一部のコストで、エンタープライズレベルの自動化を実現します。","TRANSLATE_TITLE":"グローバル市場向けに商品カタログを翻訳","TRANSLATE_CONTENT_1":"Datablist の AI で商品カタログを自動翻訳し、Eコマースのリーチを海外市場へ拡大できます。単純な翻訳を超え、現地のお客様の検索行動に合うよう商品名をローカライズします。","TRANSLATE_CONTENT_2":"AI は説明や仕様内の HTML と JSON の重要な構造を保持し、Shopify や WooCommerce などへ再アップロードする際の技術的エラーを防ぎます。この強力なノーコードソリューションにより、従来ツールのごく一部のコストでグローバルにスケールできます。","TRANSLATE_CTA":"商品カタログを翻訳する方法","FILTER_TITLE":"規模を問わず、あらゆるカタログを深掘り","FILTER_CONTENT_1":"在庫の重さでクラッシュするスプレッドシートと格闘するのはやめましょう。Datablist は最大150万点の巨大な商品カタログに対応し、Airtable や Google Sheets の限界を大きく上回ります。","FILTER_CONTENT_2":"強力なフィルタリングツールで、必要な情報をすぐに見つけられます。AND/OR ロジックやフィルターグループで複数条件を組み合わせた高度なクエリが可能です。究極の精度が必要な場合は、正規表現で SKU、タイトル、説明内の特定パターンに基づいて商品を抽出できます。","FILTER_CONTENT_3":"作業の繰り返しは不要です。複雑なフィルターをカスタムの「セグメント」として保存し、後からすぐにアクセスできます。保存したフィルターは「新着」や「プロモーション商品」といった動的リストの作成に最適で、チームと自動共有され、全員が同じビューで作業できます。","SEE_ALSO":"こちらもご覧ください"},"UseCaseLeadBuilding":{"PAGE_TITLE":"グロースチームのためのリードビルディング","PAGE_DESC":"大量のリードリストを深掘りするための最高のツールです。整理・エンリッチして、理想的な見込み顧客を見つけましょう。","HERO_TITLE":"グロースチームのためのリードリスト構築","USE_CASE":"ユースケース","HERO_DESC":"大量のリードリストを深掘りするための最高のツールです。整理・エンリッチして、理想的な見込み顧客を見つけましょう。","MASTER_TITLE":"大量のリードを管理","MASTER_BODY":"Datablist は数百万件のアイテムを管理できるよう設計されています。リードのデータ構造を定義し、オープンでテックフレンドリーなプラットフォームでデータ活用を始めましょう。スプレッドシートのようなインターフェースでリードを整理することも、API で複雑なデータプラットフォームを構築することも可能です。大量のリードリストから、接点を持つべき高品質なリードを発見できます。","CRM_TITLE":"Sales CRM の上流でリードリストを構築","CRM_CONTENT_1":"CRM ツールはエンゲージした見込み顧客のトラッキングに最適です。しかし、数十万件のリードには適していません。グロースチームには上流で統合・管理するためのデータストアが必要です。","CRM_CONTENT_2":"コールドリードを CRM に保管すると、データを汚染し高額請求の原因になります。","DATABASE_TITLE":"カスタムデータベースにリードを保存するのはやめましょう","DATABASE_CONTENT_1":"カスタムデータベース、Excel、Airtable、データウェアハウスにリードを保存していませんか？いずれかを選ぶということは、何かを妥協するということです。柔軟性を取ればスケーラビリティを失い、シンプルさを取れば複雑さを強いることになります。","DATABASE_CONTENT_2":"Datablist はカスタムデータベースのパワーと Airtable の柔軟性を両立します。妥協なくコストと時間を削減できます。","NOCODE_TITLE":"使いやすくテックフレンドリーなツール","NOCODE_CONTENT_1":"スプレッドシートのようなインターフェースでリードを管理。強力なフィルタリングと検索で、数十万件のリードも数秒で探索できます。","NOCODE_CONTENT_2":"Datablist では CSV を第一級のフォーマットとして扱います。大容量の CSV をインポートし、ユニーク ID と結合してリードリストを作成。データの主権はお客様にあります。ワンクリックで CSV にエクスポートし、他ツールで活用できます。","NOCODE_CONTENT_3":"さらに進めたい場合は、オープンな API と接続したサーバーレス関数でデータフローを自動化できます。","CENTRALIZE_TITLE":"すべてのリードソースを1つのデータストアに集約","CENTRALIZE_SCRAPING_TITLE":"スクレイピングの集約先","CENTRALIZE_SCRAPING_CONTENT_1":"外部ソースからデータを抽出し、データストアに保存します。","CENTRALIZE_SCRAPING_CONTENT_2":"ソーシャルネットワーク（LinkedIn、Facebook、Xing）、ビジネスディレクトリ（Crunchbase、AngelList）、オンラインコミュニティなどからリードをスクレイピングします。","CENTRALIZE_NEWSLETTER_TITLE":"ニュースレター購読者","CENTRALIZE_NEWSLETTER_CONTENT_1":"メーリングリストの購読者をトラッキングしエンリッチして、高価値の見込み顧客を特定します。","CENTRALIZE_NEWSLETTER_CONTENT_2":"メーリングリストの Webhook を活用して利用データを取得し、エンゲージの高いリードを見つけましょう。","CENTRALIZE_SIGNUP_TITLE":"新規ユーザーをエンリッチ","CENTRALIZE_SIGNUP_CONTENT_1":"使い捨てまたはビジネス用の email アドレスを持つユーザーを検知。新規ユーザーを自動でエンリッチし、LinkedIn プロフィールを特定して、高ポテンシャルなユーザーとエンゲージします。","CENTRALIZE_SIGNUP_CONTENT_2":"プロダクトの利用データを接続して、カスタマーデータプラットフォーム（CDP）を構築します。","CENTRALIZE_MAGNET_TITLE":"リードマグネットのダウンロードを保存","CENTRALIZE_MAGNET_CONTENT_1":"ホワイトペーパーのダウンロード、ウェビナー、オフラインイベントなどで獲得した新規リードを、単一のリストに集約して保存します。","CENTRALIZE_MAGNET_CONTENT_2":"手動または統合済みのエンリッチメント API でエンリッチし、商機を検出します。","ENRICH_TITLE":"リードをクレンジングしエンリッチ","ENRICH_COMPANIES_TITLE":"企業とプロフィールをエンリッチ","ENRICH_COMPANIES_BODY":"統合されたエンリッチメントサービスで、完全なプロフィール情報を取得できます。email アドレスから LinkedIn アカウントを取得、またはリードの氏名から email アドレスを取得。あらゆるサービスで大規模にエンリッチするか、自社サービスを接続できます。","CLEAN_TITLE":"データをクレンジング","CLEAN_BODY":"Datablist の読み書き可能なデータストアで、データを常にフレッシュに保ちます。データクレンジング機能でリードを一括クレンジング。email アドレスを検証して使い捨て email プロバイダを特定し、キャンペーンから除外します。","DEDUPLICATE_TITLE":"リードの重複排除","DEDUPLICATE_BODY":"Datablist Duplicates Finder で、重複したリードをすばやく除去。1つ以上のプロパティを選んで自動的に重複排除できます。競合するデータは Datablist Merge Assistant でマージします。","MERGE_TITLE":"一意のリードプロファイルを作成","MERGE_BODY":"リードの email アドレスや企業の Web サイトを一意キーとして定義し、一意のリードプロファイルを作成します。ユニークプロパティを使って、リードデータを更新したり外部リストを統合できます。","SEE_ALSO":"関連情報","DATA_SOURCES":"データ & リードソース","DATA_SOURCES_DESCRIPTION":"強力なビルトインのリードソースで、パイプラインを加速しましょう！","AI_RESEARCH_AGENT":"AI リサーチエージェント","AI_RESEARCH_AGENT_DESCRIPTION":"シンプルな prompt 一つで、アイテムのリサーチをスケールし、Google 検索の自動化を設定できます。","ENRICHMENTS":"エンリッチメント","ENRICHMENTS_DESCRIPTION":"使いやすいエンリッチメントで強力な workflow を構築しましょう"},"IndustryRecruiting":{"PAGE_TITLE":"よりスマートな採用はここから","PAGE_DESC":"人材紹介会社のための必須ノーコードプラットフォーム。求人情報をスクレイピングし、企業データをエンリッチして、採用責任者へのダイレクトな連絡先情報を特定します。","HERO_TITLE":"よりスマートな採用はここから","INDUSTRY_LABEL":"業界","HERO_DESC":"人材紹介会社のための必須ノーコードプラットフォーム。求人情報をスクレイピングし、企業データをエンリッチして、採用責任者へのダイレクトな連絡先情報を特定します。","WHY_DATABLIST_TITLE":"探すのは終わり。成約を生み出す。","WHY_DATABLIST_BODY":"手作業のソーシングは遅く、反復的で、結果も安定しません。Datablist は新規クライアントと候補者のソーシングで最も退屈な部分を自動化し、皆さまが本来得意とする関係構築と成約に専念できるようにします。","FIND_JOBS_TITLE":"あらゆる採用機会を見逃しません","FIND_JOBS_CONTENT_1":"Leads を二度と取り逃しません。AI Scraper を使えば、LinkedIn、Indeed などの求人ボードや、ターゲット企業の採用ページのリストから求人情報を抽出できます。","FIND_JOBS_CONTENT_2":"キーワードや専門領域に合致するオープンポジションのリアルタイムデータベースを簡単に構築でき、常時、質の高いクライアント leads が流入します。","FIND_CONTACTS_TITLE":"適切な意思決定者をピンポイントで特定","FIND_CONTACTS_CONTENT_1":"求人掲載は出発点にすぎません。Datablist は企業データをエンリッチして肩書きの裏にいる人物を可視化します。ターゲット企業の部門長、チームリード、採用責任者を特定できます。","FIND_CONTACTS_CONTENT_2":"職位、部門、シニアリティでリストをセグメントし、Outreach が常に採用の決定権を持つ人物に届くようにします。","GET_DETAILS_TITLE":"ダイレクトに、すぐにつながる","GET_DETAILS_CONTENT_1":"連絡先情報探しに時間を浪費するのはやめましょう。強力なウォーターフォール型エンリッチメントで、ターゲットの連絡先について検証済みのプロフェッショナルな email アドレスと電話番号を見つけます。","GET_DETAILS_CONTENT_2":"成功率が高く、コスト効率の高いクレジットベースのモデルにより、これまでになく迅速かつ手頃に実行可能な連絡先リストを構築できます。","BENEFITS_TITLE":"貴社に圧倒的なアドバンテージを","EASY_USE_TITLE":"数分で導入","EASY_USE_BODY":"直感的なスプレッドシートのようなインターフェースですぐに始められます。強力なソーシング workflow も、技術的スキルは不要です。","FLEXIBLE_TITLE":"貴社の workflow を、貴社のやり方で","FLEXIBLE_BODY":"ターゲットのスクレイピングからエンリッチメントのシーケンスまで、あらゆるステップをカスタマイズできます。Datablist は貴社独自のソーシング戦略に合わせて適応し、ツールに戦略を合わせる必要はありません。","COST_EFFECTIVE_TITLE":"使った分だけのパワー","COST_EFFECTIVE_BODY":"クレジットベースの仕組みで、使った分だけお支払い。1人のリクルーターから大規模チームまで、あらゆる規模のエージェンシーに最適です。","ALL_IN_ONE_TITLE":"すべてを一箇所で","ALL_IN_ONE_BODY":"スクレイピングとデータクレンジングからエンリッチメント、エクスポートまで。複数のツールを使い分けることなく、クライアントと候補者のデータパイプライン全体を管理できます。","SEE_ALSO":"こちらもご覧ください","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"シンプルな prompt で、あらゆるウェブサイトから構造化データを抽出。求人ボードや企業ページなどに最適です。","ENRICHMENTS":"エンリッチメント","ENRICHMENTS_DESCRIPTION":"企業データや連絡先データ向けの使いやすいエンリッチメントで、強力な workflow を作成できます。","FAQ_Q1":"Datablist はどのように求人を見つけますか？","FAQ_A1":"当社の Job Postings Scraper は、Indeed や Glassdoor を含む主要な求人ボードを19サイト以上スキャンします。さらに、AI Agent を使って特定企業の採用ページやニッチな求人ボードを自動スクレイピングでき、クライアント機会が継続的に創出されます。","FAQ_Q2":"採用責任者の連絡先情報はどのように見つけますか？","FAQ_A2":"企業リストができたら、Waterfall People Search エンリッチメントがその組織内の適切な連絡先を見つけます。職位、シニアリティ、部門で検索し、意思決定者をピンポイントで特定できます。","FAQ_Q3":"連絡先情報は正確で検証済みですか？","FAQ_A3":"はい。Waterfall Email Finder と Phone Finder が複数のデータプロバイダーに問い合わせ、検証済みのプロフェッショナルな email アドレスとダイレクトダイヤルの電話番号を見つけます。マルチソースのアプローチにより、単一プロバイダーのツールよりも高い成功率を実現します。","FAQ_Q4":"スクレイパーを使うと LinkedIn アカウントがリスクにさらされますか？","FAQ_A4":"いいえ。ブラウザ拡張とは異なり、当社のスクレイパーはクラウドで動作し、お客様の個人の LinkedIn 認証情報は不要です。これにより、アカウントは制限や凍結から 100% 安全に保たれます。","FAQ_Q5":"料金はいくらですか？","FAQ_A5":"Datablist は柔軟な従量課金のクレジット制を採用しています。取得したデータ分のみお支払いください。例えば、$20 のクレジット追加で数千件の求人をスクレイピング可能です。大きな初期投資なしにソーシングをスケールでき、あらゆる規模のエージェンシーに最適なモデルです。","FAQ_Q6":"特定の業界や地域の求人をターゲットできますか？","FAQ_A6":"はい。求人スクレイパーには高度なフィルターがあり、キーワード、業界、企業規模、地域、シニアリティで求人をターゲティングできます。人材紹介会社を除外し、直接雇用主のみに絞ることも可能です。","FAQ_Q7":"候補者リストが乱雑です。Datablist でクレンジングできますか？","FAQ_A7":"もちろんです。Datablist には強力なデータクレンジングと重複排除ツールが含まれます。異なるソースからの重複コンタクトを簡単にマージし、職位表記の標準化や、複雑な数式なしでのデータ整形が可能です。","FAQ_Q8":"ソーシングプロセスを自動化できますか？","FAQ_A8":"はい。求人スクレイパーを日次・週次・月次でスケジュール実行できます。Datablist が条件に合致する新着求人を自動で見つけ出し、継続的に新鮮な leads を供給します。"},"IndustryVentureCapital":{"PAGE_TITLE":"モダンなVCのためのオペレーティングシステム","PAGE_DESC":"AI搭載のデータプラットフォームで、数千社のスタートアップを発掘・スクリーニング・トラッキングできます。煩雑なスプレッドシートや硬直的なCRMから脱却しましょう。Datablistでディールフローのエンジンを構築しましょう。","INDUSTRY_LABEL":"業界","HERO_TITLE":"モダンなVCのためのオペレーティングシステム","HERO_DESC":"AI搭載のデータプラットフォームで、数千社のスタートアップを発掘・スクリーニング・トラッキングできます。煩雑なスプレッドシートや硬直的なCRMから脱却しましょう。Datablistでディールフローのエンジンを構築しましょう。","WHY_DATABLIST_TITLE":"一般的なCRMはベンチャーキャピタル向けに作られていません","WHY_DATABLIST_BODY":"CRMはセールスパイプライン向けで、ディールフロー向けではありません。硬直的で高コストであり、レーダー上にある数千のアーリーステージ企業をトラッキングするには不向きです。Datablistは、ベンチャーキャピタル特有のデータ課題を管理するために設計された、柔軟でスケーラブルなデータハブです。","SOURCE_DEALS_TITLE":"一般に知られる前にディールを発掘","SOURCE_DEALS_CONTENT_1":"自社のネットワークやインバウンドのリクエストを超えて、AI Scraper を使い、ProductHunt、IndieHackers、その他のニッチなディレクトリから有望なスタートアップをソーシングできます。","SOURCE_DEALS_CONTENT_2":"有望企業を誰よりも早く特定し、メインストリーム化する前の新興トレンドを追跡することで、アドバンテージを得られます。","TRACK_COMPANIES_TITLE":"資金調達だけでなく、成長シグナルをトラッキング","TRACK_COMPANIES_CONTENT_1":"資金調達は成功の遅行指標です。本当に重要なリアルタイムの成長シグナルを追跡しましょう。当社の求人ボードスクレイパーは、どのスタートアップが重要ポジションを採用しているかを特定します。これは、プロダクトマーケットフィット（PMF）やスケーリングの明確なサインです。","TRACK_COMPANIES_CONTENT_2":"採用トレンドをモニタリングして企業の軌道を評価し、データに基づいた投資判断ができます。","SCORE_STARTUPS_TITLE":"AIでカスタムスコアリングモデルを構築","SCORE_STARTUPS_CONTENT_1":"勘に頼るだけの意思決定はやめましょう。AI Editing ツールで強力なカスタムスコアリングアルゴリズムを構築できます。チームの経験、テクノロジースタック、市場シグナル、そして御社独自の基準に基づいてスタートアップをランキングします。","SCORE_STARTUPS_CONTENT_2":"パイプラインの上位1%の機会を体系的に特定し、チームのリソースをそこに集中できます。","DILIGENCE_TITLE":"デューデリジェンスとトラッキングに必要なツールをすべて搭載","FEATURE_DATA_TITLE":"データ統合","FEATURE_DATA_BODY":"複数ソースのデータをクレンジング、重複排除、マージして、1つのマスタリストに統合します。スタートアップのデータベースを常にクリーンで信頼できる状態に保てます。","FEATURE_ENRICH_TITLE":"企業エンリッチメント","FEATURE_ENRICH_BODY":"企業属性（ファーモグラフィック）、テクノロジースタック、Webサイトデータなどで企業プロフィールを自動エンリッチし、360度の視点を得られます。","FEATURE_CONTACTS_TITLE":"ファウンダーへのアウトリーチ","FEATURE_CONTACTS_BODY":"Waterfall Enrichment により、ファウンダーや主要幹部の検証済みのemailアドレスと電話番号を特定します。初回コンタクトを価値あるものにします。","FEATURE_API_TITLE":"APIとインテグレーション","FEATURE_API_BODY":"Datablistを社内ツールと接続し、柔軟で開発者フレンドリーなAPIでデータのworkflow全体を自動化できます。","SEE_ALSO":"こちらもご覧ください","VIDEO_TITLE":"AI Agentの動作をご覧ください","VIDEO_TEXT":"AI AgentがスタートアップのWebサイト一覧を巡回し、構造化された連絡先情報を抽出する様子をご覧いただけます。これは、従来型のスクレイパーでは不可能だったタスクです。","FAQ_Q1":"Datablistは従来のCRMとどう違いますか？","FAQ_A1":"CRMは直線的なセールスプロセス向けに設計されており、何千件もの潜在ディールをトラッキングするとすぐに情報が散らかりがちです。Datablistは、ベンチャーキャピタルのディールフローの規模と複雑性に対応する柔軟なデータハブとして設計されており、セールスパイプラインの硬直性に縛られずに膨大なスタートアップデータを管理できます。","FAQ_Q2":"Datablistは新しいスタートアップのソーシングに役立ちますか？","FAQ_A2":"はい。AI Agentを使って、ProductHunt や IndieHackers などのスタートアップディレクトリをスクレイプし、皆のレーダーに載る前に有望企業を見つけることができます。これにより、ハイポテンシャルなディールを早期に発見できます。","FAQ_Q3":"どのような成長シグナルをトラッキングできますか？","FAQ_A3":"資金調達アナウンスだけに頼るのではなく、リアルタイムの成長指標をトラッキングできます。求人ボードスクレイパーにより、重要ポジションを積極採用しているスタートアップを特定します。これは成長やプロダクトマーケットフィットの強いシグナルです。","FAQ_Q4":"AIによるスコアリングモデルはどのように機能しますか？","FAQ_A4":"当社のAIツールでカスタムのスコアリングモデルを構築できます。たとえば、チームの経験、テクノロジースタック、市場トレンドなど、御社の投資仮説にとって重要な基準を定義すると、AIがパイプライン内の各スタートアップをランク付けするスクリプトを生成し、上位の機会に集中できるよう支援します。","FAQ_Q5":"当社のデータは雑多で複数のスプレッドシートに分散しています。どのように支援できますか？","FAQ_A5":"Datablistはデータ統合を得意としています。複数のソースからデータをインポートし、クレンジング、重複排除、マージを行って、信頼できる単一のスタートアップ・マスタリストにまとめられます。","FAQ_Q6":"Datablistは何千もの企業をどのように処理しますか？動作は遅くなりませんか？","FAQ_A6":"Datablistは大規模なデータセットの管理を前提に設計されており、1リストあたり最大150万レコードに対応します。スプレッドシートやAirtableの制限を大きく上回り、フィルター、ソート、管理を高速に行えます。","FAQ_Q7":"ファウンダーの連絡先情報の特定を支援できますか？","FAQ_A7":"はい。有望なスタートアップを特定した後は、Waterfall Enrichment でファウンダーや主要メンバーの検証済みのemailアドレスや電話番号を見つけられ、初回アウトリーチの効果を高められます。","FAQ_Q8":"Datablistの利用に開発者は必要ですか？","FAQ_A8":"いいえ。Datablistはノーコードのプラットフォームで、スプレッドシートのような使いやすいインターフェースです。ソーシングからスコアリングまで、コードを書くことなく複雑なデータworkflowを構築できます。"},"IndustryRetailAndECommerce":{"PAGE_TITLE":"小売・EC業務を効率化","PAGE_DESC":"商品カタログ、サプライヤーのフィード、顧客データを簡単に管理できます。Datablist は小売・ECビジネス向けの柔軟なノーコード・プラットフォームです。","HERO_TITLE":"小売・EC業務を効率化","INDUSTRY":"業界","HERO_DESC":"商品カタログ、サプライヤーのフィード、顧客データを簡単に管理できます。Datablist は小売・ECビジネス向けの柔軟なノーコード・プラットフォームです。","MASTER_TITLE":"貴社のECデータ統合ハブ","MASTER_BODY":"複数のスプレッドシートや複雑なデータベースを行き来するのは終わりにしましょう。Datablist は、すべてのECデータを一元管理できる使いやすい単一のプラットフォームを提供します。柔軟なノーコードのインターフェースとクレジットベースの料金体系により、あらゆる規模の企業にとって費用対効果の高いソリューションです。","PRODUCT_CATALOG_TITLE":"商品カタログを統合・クレンジング","PRODUCT_CATALOG_CONTENT_1":"あらゆるソースから商品データをインポートし、単一でクリーンなカタログに統合できます。強力なデータクレンジング機能で、単位や価格の標準化、説明文のHTMLタグ除去まで対応します。","PRODUCT_CATALOG_CONTENT_2":"Datablist なら数千点の商品も簡単に管理でき、常に正確で最新のデータを維持できます。","SUPPLIER_FEEDS_TITLE":"サプライヤーフィードを自動化","SUPPLIER_FEEDS_CONTENT_1":"サプライヤーの価格・在庫フィードを自動取得し、在庫を常に同期させます。Datablist は外部APIに接続でき、サプライヤーのシステムとの統合も容易です。","SUPPLIER_FEEDS_CONTENT_2":"この重要な業務を自動化することで、時間を節約し、エラーを削減します。","FEATURES_TITLE":"成功に必要なすべてを搭載","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"商品カタログを統合","CONSOLIDATE_PRODUCT_CATALOG_BODY":"複数のサプライヤーやソースのデータを単一のマスターカタログに統合します。","CLEAN_DATA_TITLE":"データをクレンジング","CLEAN_DATA_BODY":"単位、価格、HTMLを含む商品情報を標準化・クレンジングし、一貫性のあるプロフェッショナルな見栄えに整えます。","TRANSLATE_PRODUCT_TITLE":"商品情報を翻訳","TRANSLATE_PRODUCT_BODY":"商品名や説明文を簡単に翻訳し、グローバルな顧客にリーチします。","GENERATE_PRODUCT_TEXT_TITLE":"AIで商品テキストを生成","GENERATE_PRODUCT_TEXT_BODY":"AIを活用して魅力的な商品説明などのテキストを自動生成し、時間と手間を削減します。","SYNC_TO_EXTERNAL_APIS_TITLE":"外部APIと同期","SYNC_TO_EXTERNAL_APIS_BODY":"外部APIとのデータ同期により、他のツールやシステムと連携します。","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"サプライヤーフィードを取得","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"サプライヤーから最新の価格・在庫フィードを取得し、商品情報を自動更新します。","AGGREGATE_ORDER_FEEDS_TITLE":"注文フィードを集約","AGGREGATE_ORDER_FEEDS_BODY":"すべてのチャネルの注文フィードを集約して、売上の全体像を把握できます。","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"顧客・オーディエンスリストを管理","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"顧客・オーディエンスのリストをクリーンに整理し、より効果的なマーケティング施策を実現します。","FAQ_Q1":"商品データが複数のサプライヤーから異なるフォーマットで届き、ぐちゃぐちゃです。Datablist はどのように役立ちますか？","FAQ_A1":"Datablist はまさにその課題を解決するために設計されています。複数のCSVやExcelファイルから商品データを取り込み、単一のマスターカタログに統合できます。Duplicates Finder により重複商品のマージを支援し、在庫数などの数値を自動で合算することも可能です。","FAQ_Q2":"HTML や JSON のフォーマットを崩さずに、商品説明を翻訳できますか？","FAQ_A2":"はい。ChatGPT などのモデルを用いたAI翻訳は、複雑なコンテンツにも対応します。HTMLタグやJSON構造を保持したままテキスト部分のみを翻訳するよう、カスタム指示を設定できます。ECカタログに最適です。","FAQ_Q3":"商品カタログが大きすぎてスプレッドシートが落ちます。Datablist はどれくらいの件数まで扱えますか？","FAQ_A3":"スプレッドシートは大規模データが苦手ですが、Datablist はスケールを前提に設計されています。1コレクションあたり最大150万件までのカタログを容易に管理でき、Airtable や Google Sheets を大きく上回ります。","FAQ_Q4":"Shopify や WooCommerce などのプラットフォームからカタログを取り込む方法を教えてください。","FAQ_A4":"Shopify や WooCommerce などのECプラットフォームは、商品カタログをCSVとしてエクスポートできます。そのCSVを Datablist にそのままインポートし、クレンジング、データエンリッチメント、翻訳を開始できます。","FAQ_Q5":"サプライヤーからの価格や在庫の更新取得を自動化できますか？","FAQ_A5":"はい。サプライヤーがAPIでデータを提供している場合、当社の 'Import from a remote CSV or JSON file' データソースを利用して、自動的に取得・更新できます。手作業なしで在庫や価格の同期を維持できます。","FAQ_Q6":"複数のクライアントのカタログを管理するECエージェンシーにとって、Datablist は有用なツールですか？","FAQ_A6":"もちろんです。クライアントごとに個別のコレクションを作成し、フォルダーで整理して簡単に管理できます。すべてのデータクレンジングと管理業務の中核となる効率的なハブとしてご利用いただけます。","FAQ_Q7":"価格や説明文内のHTMLなど、ばらつきのある商品データをどのようにクレンジングできますか？","FAQ_A7":"Datablist には商品カタログに最適なデータクレンジング機能が多数あります。HTMLタグ付きのテキストをプレーンテキストに変換したり、区切り記号の異なる数値を正規化したり、余分なスペースを削除したり、文字の大小を統一したりして、データの一貫性を確保できます。","FAQ_Q8":"AIはユニークな商品説明の作成に役立ちますか？","FAQ_A8":"はい。商品特性から魅力的な商品説明を生成する 'Ask ChatGPT' エンリッチメントをご利用いただけます。時間を節約し、スケールでユニークなコンテンツを作成するのに役立ちます。"},"IndustrySaaSAI":{"PAGE_TITLE":"SaaS＆AIスタートアップのための GTM コパイロット","PAGE_DESC":"煩雑なスプレッドシートや高価なツールをあれこれとやりくりするのは終わりにしましょう。Datablist は、リードのソーシング、クレンジング、エンリッチをオールインワンで提供し、商談のクロージングに集中できるようにします。","HERO_TITLE":"SaaS＆AIスタートアップのための GTM コパイロット","INDUSTRY_LABEL":"業界","HERO_DESC":"煩雑なスプレッドシートや高価なツールをあれこれとやりくりするのは終わりにしましょう。Datablist は、リードのソーシング、クレンジング、エンリッチをオールインワンで提供し、商談のクロージングに集中できるようにします。","MASTER_TITLE":"セールスエンジンを、より速く構築","MASTER_BODY":"スタートアップにとって、スピードがすべてです。質の高いリードを継続的に確保する必要がありますが、セールスパイプラインの構築には時間がかかります。Datablist は、見込み顧客の発掘からアウトリーチのパーソナライズまで、すべてを使いやすいノーコードのプラットフォームで効率化します。","PROBLEM_TITLE":"課題はプロダクトではなく、リード獲得です","PROBLEM_CONTENT_1":"データをWebスクレイピングし、リストを購入し、CRMからエクスポートしても、結果はぐちゃぐちゃになりがちです。スプレッドシートはクラッシュし、データはすぐ古くなり、チームは販売ではなく手作業の入力に何時間も浪費してしまいます。","PROBLEM_CONTENT_2":"カスタムデータベースはリソースを消耗し、ツールごとの複数サブスクリプションはあっという間に高コストになります。こうした非効率がディールを取り逃がす原因です。","SOLUTION_TITLE":"構築・クレンジング・エンリッチを一つのプラットフォームで","SOLUTION_CONTENT_1":"Datablist は、データベースの強さとスプレッドシートの手軽さを兼ね備えています。スピード重視のスタートアップのGTMチーム向けに設計された、柔軟なノーコードツールです。","SOLUTION_CONTENT_2":"あらゆるリードソースを一元化し、煩雑なデータをクレンジングし、最新情報で連絡先をエンリッチし、コードを書かずにワークフローを自動化できます。スケールに必要な柔軟でコスト効率の高いソリューションです。","FEATURES_TITLE":"成長を加速するために必要なすべてを","GRID_SOURCE_TITLE":"高インテントのリードをソーシング","GRID_SOURCE_BODY":"静的なデータベースを超えて。Job Board Scraper を使って、いままさに採用している企業を特定できます—予算があり、解決すべき課題を抱えている明確なシグナルです。毎日フレッシュなリードを入手できます。","GRID_SCRAPE_TITLE":"AI駆動のスクレイピング","GRID_SCRAPE_BODY":"競合が買えないユニークなリードリストを構築しましょう。AI Agent があらゆるWebサイトをスクレイピングし、ニッチなデータ、顧客事例、企業が利用している特定のテクノロジーまで見つけ出します。","GRID_PERSONALIZE_TITLE":"アウトリーチを大規模にパーソナライズ","GRID_PERSONALIZE_BODY":"画一的なメールはもうやめましょう。AI Agent を使って各見込み顧客のためのユニークなインサイトを収集します。十分にリサーチしていることが伝わるトーキングポイントを見つけ、返信率を高めましょう。","GRID_DEDUPE_TITLE":"重複排除とマージ","GRID_DEDUPE_BODY":"強力な Duplicates Finder でリードや顧客リストをクリーンアップ。複数ソースにまたがる重複レコードを、重要なデータを失うことなくマージし、信頼できる唯一の情報源を実現します。","GRID_CLEAN_TITLE":"CRM をクレンジング＆エンリッチ","GRID_CLEAN_BODY":"CRMデータを正確かつ最新に保ちます。メールをバリデーションし、会社名を標準化し、LinkedIn などのプロバイダーからの最新データでレコードをエンリッチして、キャンペーンの成果を高めます。","GRID_AUTOMATE_TITLE":"ワークフローを自動化","GRID_AUTOMATE_BODY":"定期タスクを設定して、常に新しくエンリッチされたリードを供給します。スクレイパーやエンリッチを日次・週次でスケジュールし、セールスチームのパイプラインを常に満たしておけます。","WORKFLOW_TITLE":"高品質なリードのための実証済みワークフロー","WORKFLOW_STEP1_TITLE":"1. 購買インテントのある企業をソーシング","WORKFLOW_STEP1_CONTENT_1":"まず、明確なニーズを持つ企業を見つけます。Job Postings Scraper を使い、貴社のプロダクトやサービスが支援できる職種の採用を積極的に行っている企業を特定します。","WORKFLOW_STEP1_CONTENT_2":"これは、予算があり、解決すべき喫緊の課題を抱えていることを示す最も強いシグナルのひとつです。","WORKFLOW_STEP2_TITLE":"2. 決裁者と連絡先情報を特定","WORKFLOW_STEP2_CONTENT_1":"ターゲットアカウントが定まったら、Waterfall People Search を使って、営業責任者やマーケティングディレクターなど、その企業内の適切なコンタクトを特定します。","WORKFLOW_STEP2_CONTENT_2":"続いて、Email Finder と Phone Finder を使って、検証済みの連絡先情報を取得します。","WORKFLOW_STEP3_TITLE":"3. パーソナライズのための情報を収集","WORKFLOW_STEP3_CONTENT_1":"ここで不公平なほどのアドバンテージを得られます。AI Agent を使って各見込み顧客をリサーチします。直近のブログ投稿や導入事例、さらには利用しているSaaSツールまで調べるよう指示してください。","WORKFLOW_STEP3_CONTENT_2":"目立ち、返信を獲得できるアウトリーチメッセージを作るためのユニークなインサイトが得られます。","WORKFLOW_STEP4_TITLE":"4. リストをクリーンアップして最終化","WORKFLOW_STEP4_CONTENT_1":"アウトリーチを始める前に、最終リストを Duplicates Finder に通してください。重複するコンタクトや企業をマージし、クリーンで整理されたリストを保証します。","WORKFLOW_STEP4_CONTENT_2":"これで、セールスのCRMやメールシーケンサーへ同期する準備が整いました。","SEE_ALSO":"こちらもご覧ください","FAQ_Q1":"ZoomInfo や Apollo のような一般的なB2Bデータベースと比べて、Datablist は何が違いますか？","FAQ_A1":"一般的なB2Bデータベースが静的で事前収集されたデータを提供するのに対し、Datablist はライブソースからフレッシュで自社専有のリードリストを構築できる点が異なります。Job Scraper を使って、採用意欲の高い企業（強い購買シグナル）を見つけられます。さらに AI Agent がカスタムなWebスクレイピングを実行し、どのデータベースにもないニッチデータを収集できるため、独自の競争優位性を得られます。","FAQ_Q2":"当社のスタートアップは高品質なリードを早急に必要としています。Datablist はどのように支援しますか？","FAQ_A2":"Datablist はスピード重視で設計されています。まず、19以上の求人ボードから集約する Job Postings Scraper で、直ちにニーズのある企業をソーシングします。次に、Waterfall エンリッチメントツールで決裁者と検証済みの連絡先情報をすばやく特定します。アカウントのソーシングからアウトリーチ可能なリストの作成まで、ワークフロー全体を数分で完了できます。","FAQ_Q3":"Datablist の利用に、開発者や技術スキルは必要ですか？","FAQ_A3":"いいえ。Datablist はノーコードプラットフォームです。スプレッドシートのような使いやすいインターフェースに、強力なAIと自動化ツールを組み合わせています。Webスクレイピング、データクレンジング、エンリッチのような高度な処理も、自然言語のプロンプトとポイント＆クリックで実行できます。開発者ではなくGTMチームのために作られています。","FAQ_Q4":"メールのパーソナライズで、Datablist はセールスチームをどのように支援しますか？","FAQ_A4":"汎用的なアウトリーチは効果がありません。Datablist の AI Agent は、セールスチームのリサーチアシスタントとして機能します。各見込み顧客のWebサイトを訪れて、最近の導入事例、使用している特定のテクノロジー、会社のニュースなど、ユニークなトーキングポイントを見つけるよう指示できます。これにより、大規模に高度なパーソナライズを行い、返信率を大幅に向上できます。","FAQ_Q5":"複数ソース由来の雑多なリードリストがあります。Datablist はどのようにクレンジングと重複排除を行いますか？","FAQ_A5":"Datablist はデータ品質の維持に優れています。Duplicates Finder はファジーマッチングを含む高度なアルゴリズムで、名前や詳細がわずかに異なる場合でも、複数ファイル間の類似レコードを特定します。重複を自動マージし、（複数の電話番号などの）矛盾する情報を失わずに統合し、フィールドを標準化して、単一でクリーンな信頼できる情報源を作れます。","FAQ_Q6":"リード獲得を自動化して、継続的に見込み顧客を確保できますか？","FAQ_A6":"はい。Datablist は自動化を前提に設計されています。Job Postings Scraper などのデータソースを日次・週次でスケジュール実行できます。常に高インテント企業のフレッシュなリストを供給し、最小限の手作業で一貫性と予測可能性の高いセールスパイプラインを構築できます。","FAQ_Q7":"スタートアップにとって、価格体系は費用対効果に優れていますか？","FAQ_A7":"はい。Datablist はエンリッチにクレジット制を採用しており、使った分だけお支払いいただけます。これは予算管理が重要なスタートアップに最適です。Free Email Validator など多くの機能は無制限でご利用いただけ、スクレイピング・クレンジング・エンリッチのために複数の別ツールへ加入するより、はるかに手頃な料金設計です。","FAQ_Q8":"既存のCRMやセールスツールとどのように連携しますか？","FAQ_A8":"Datablist は既存のワークフローにフィットするよう設計されています。Pipedrive とはダイレクト連携でシームレスにデータ同期できます。HubSpot や Salesforce などその他のCRMには、クレンジング・エンリッチ済みのリストを CSV または Excel ファイルで簡単にエクスポートしてインポート可能です。さらに、Zapier を使って数千のアプリと接続できます。"},"Alternatives":{"HERO_DESC":"Datablistはリード管理ツールであり、{toolName}の優れた代替となります。Datablistは、リード獲得のカスタムワークフローを構築するのに最適なツールです。Datablistと{toolName}を比較し、お客様に最も適したツールをご確認ください。","WHAT_IS_TITLE":"{toolName} とは？","WHAT_IS_DESC":"{toolName}は、セールスチームがアウトリーチキャンペーンを実行するのを支援するSaaSツールです。複数のデータエンリッチメントサービスを統合し、AIでパーソナライズされたアウトリーチメッセージの作成を自動化します。さらに、{toolName}はCRMやアウトリーチツールと連携してキャンペーンの送信まで行います。","COMPARISON_TITLE":"Datablistがより優れている点","COMPARISON_CONTENT_1":"Datablistと{toolName}は、リードリストを管理するための2つのツールです。","COMPARISON_CONTENT_2":"Datablistはデータクレンジング、リードの重複排除、そしてREST APIによるカスタムワークフローに注力しています。Datablistは高速で、数十万件のリードも難なく管理できます。","COMPARISON_CONTENT_3":"Clayはリードソーシングとウォーターフォール型エンリッチメントに注力しています。","COMPARISON_CONTENT_4":"高度な重複排除と強力なデータクレンジングでデータ品質を担保し、リードを一元管理するデータベースを構築したい場合は、Datablistが最適です。","BENEFITS_TITLE":"なぜ多くのチームが{toolName}からDatablistに乗り換えるのですか？","COST_EFFECTIVE_TITLE":"Datablistは{toolName}のより低コストな代替です","COST_EFFECTIVE_DESC":"Clayには制限付きのフリープランがあります。Clayのスタータープランは月額$149からで、クレジットは2,000のみです。Datablistは月額サブスクリプションもクレジットパッケージもより手頃です。リードのWebスクレイピング、クレンジング、エンリッチメントでツールを使えば使うほど、Datablistならコストを抑えられます。","CLEANING_TITLE":"高度なクレンジングと重複排除ツール","CLEANING_DESC":"Datablistは高度なデータクレンジング機能を提供します。データ型の変換から正規化まで、大規模なデータクレンジングではスプレッドシートツールを凌駕します。リードの重複排除はDatablistのネイティブ機能です。ファジーマッチングや高度な重複統合により、同じリードを重複してエンリッチメントしてしまうことを防ぎます。","API_TITLE":"APIで拡張可能","API_DESC":"DatablistのデータストアはAPIで完全にアクセス可能です。RESTful APIを使ってコレクション、プロパティ、アイテムを作成できます。Make.comやZapierをご利用ですか？APIでDatablistと接続し、強力なアウトリーチのワークフローを構築してください。","SCALE_TITLE":"より大規模なリストにも対応","SCALE_DESC":"Datablistは、クラウド同期では最大10万件、データ操作・変換・クレンジングでは最大200万件まで対応します。パフォーマンスの問題なく、リード管理をスケールできます。","SUPERIOR_TITLE":"Datablist: リード獲得における優れた代替ソリューション","SUPERIOR_INTRO":"Datablistは、Clayのような他のリード獲得ツールでユーザーが直面する課題を理解しています。だからこそ、当社のプラットフォームは、使いやすく、高速で、既存のワークフローに容易に統合できる柔軟性を備えるよう設計しています。直感的なインターフェースにより、学習コストを最小限に抑えたスムーズなセットアップを実現し、手間なく迅速にリード獲得を開始いただけます。","ACCURATE_DATA_TITLE":"正確で信頼できるデータ","ACCURATE_DATA_DESC":"当社はデータ精度を最優先とし、最新かつ正確な連絡先情報をお届けします。これにより、アウトリーチキャンペーンの効果が高まり、コンバージョン率の向上につながります。他プラットフォームで生じがちな不整合や古いデータの問題とは無縁になります。","AFFORDABLE_PRICING_TITLE":"手頃な価格","AFFORDABLE_PRICING_DESC":"Datablistは、あらゆる規模のビジネスに適した競争力があり透明性の高い料金を提供します。予期せぬ費用が膨らむことなく、最高の価値を得られるコスト効率の高いモデルです。他のツールのように、気づかないうちにコストが積み上がる心配はありません。","RESPONSIVE_SUPPORT_TITLE":"迅速なカスタマーサポート","RESPONSIVE_SUPPORT_DESC":"専任のサポートチームが常に迅速にご支援し、発生した課題をスピーディかつ的確に解決いたします。高速な応答と専門的なサポートに自信があるため、最も重要なビジネスの成長に集中していただけます。","SUPERIOR_CONCLUSION":"シームレスで信頼性が高く、手頃なリード獲得体験にはDatablistをお選びください。","SEE_ALSO":"関連情報","ENRICHMENTS":"データエンリッチメント","ENRICHMENTS_DESC":"企業情報や連絡先などでリードデータを強化する、当社のデータエンリッチメントサービスをご覧ください。","DATA_SOURCES":"データソース","DATA_SOURCES_DESC":"各種プラットフォームやWebサイトからのインポートやWebスクレイピングに利用できるデータソースをご確認ください。","API_DOCS":"APIドキュメント","API_DOCS_DESC":"包括的なREST APIを用いて、既存のワークフローとDatablistを統合する方法をご確認ください。","LEAD_BUILDING":"リードリスト構築","LEAD_BUILDING_DESC":"包括的なガイドとツールで、高品質なリードリストの構築をマスターしましょう。"},"AIPrompts":{"metadata":{"title":"AIプロンプト","description":"当社のAIプロンプトを活用して、リード獲得、エンリッチメント、データクレンジングを強化しましょう。これらのプロンプトは、高品質なリードの発見とデータの正確性の維持に役立ちます。AIで見込み顧客を特定し、リード情報を更新できます。AI搭載ツールでリード管理を最適化し、スケールを目指す企業様に最適です。"},"breadcrumb":{"home":"ホーム","aiPrompts":"AIプロンプト"},"header":{"category":"事業成長のためのAIツール","title":"リード獲得・エンリッチメント・データクレンジング向けトップAIプロンプト","description":"リード発掘、エンリッチメント、データクレンジングを自動化します。これらのAIプロンプトでGTMワークフローをスケールできます。"},"enrichment":{"title":"AIエージェントプロンプト（エンリッチメント）","description":"既存のアイテムをエンリッチするためのプロンプトです。現行のレコードに対してAIプロンプトを実行し、欠落している詳細の補完、リサーチ、各行の情報分析を行えます。"},"dataSource":{"title":"ソース用AIエージェントプロンプト（データソース）","description":"新規アイテムを生成するプロンプトです。Webサイトをスクレイプして構造化情報を取得したり、特定の条件に合致する連絡先を見つけたり、AIでターゲットリストをゼロから作成できます。URL、指示、または別コレクションからの入力を起点に、新しいデータを生成します。"},"cta":"プロンプトを見る","detail":{"metadataTitle":"ChatGPTプロンプト：{title} 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1件につき25クレジットで、見つかったemailに対してのみ料金が発生します。"},{"label":"ウォーターフォール電話番号ファインダー","description":"LinkedInプロフィールURLから携帯電話番号を検索します。番号が見つかった場合のみ料金が発生します。"},{"label":"LinkedInプロフィールスクレイパー","description":"アカウントを危険にさらすことなく、任意のLinkedInまたはSales NavigatorプロフィールURLから最大40項目（役職、企業、職歴、学歴）を取得します。"},{"label":"企業エンリッチメント","description":"ドメインまたはLinkedInページから企業情報をエンリッチします。業種、規模、所在地、設立年など、最大9項目を取得できます。"},{"label":"企業ドメインファインダー","description":"企業名からWebサイトとドメインを信頼度評価付きで検索します。"},{"label":"求人サイトスクレイピング","description":"LinkedIn、Indeed、Glassdoorを含む19以上の求人サイトから求人情報をスクレイピングします。職種、勤務地、企業などで絞り込めます。"},{"label":"Sales Navスクレイパー（ご自身のアカウント）","description":"ご自身のLinkedInアカウントを使用して、LinkedInまたはSales Navigatorの検索結果からleadsや企業をスクレイピングします。lead 1件につき10クレジットです。"},{"label":"Sales Navスクレイパー（アカウント不要）","description":"ご自身のアカウントを接続せずに、Sales Navigatorの検索結果からleadsや企業をスクレイピングします。lead 1件につき20クレジットです。"}]},{"title":"AI＆自動化","rows":[{"label":"ChatGPT / 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テーブル","values":["-","100k","100k","200k（近日対応）"]},{"label":"バージョン履歴（近日対応）","values":["なし","7日間","14日間","30日間"]},{"label":"AI編集","values":["無料編集3回","無制限","無制限","無制限"]}]},{"title":"データクリーニング機能","rows":[{"label":"単一ファイル内の重複排除","description":"設定可能な照合ルールを使用して、コレクション内の重複を検索、統合、または削除します。"},{"label":"検索と置換","description":"プロパティ内またはコレクション全体の値を検索して置換します。"},{"label":"一括編集","description":"複数のアイテムを一度に編集し、値を一括で設定または置換します。"},{"label":"テキストからデータを抽出","description":"任意のテキストフィールドからemail、URL、電話番号を抽出します。"},{"label":"Emailバリデーション","description":"emailの構文、ドメイン、MXレコードを即座に確認します。無料で即時にチェックできます。"},{"label":"ゴミ箱＆データ復元","description":"誤って削除したアイテムをゴミ箱から復元します。"},{"label":"複数ファイル間の重複排除","description":"複数のコレクションまたはインポートをまたいで、一度に重複を排除します。"},{"label":"Email検証","description":"複数のプロバイダーを通じて、完全な到達可能性（構文、ドメイン、メールボックス、catch-all）を確認します。"},{"label":"企業名クリーナー","description":"LLCやIncを削除し、大文字・小文字表記を修正して企業名を標準化します。"},{"label":"電話番号クリーナー","description":"電話番号の形式を標準化し、不足している国番号を追加します。"},{"label":"氏名パーサー","description":"フルネームを姓と名に分割し、性別と敬称を判定します。"},{"label":"言語検出","description":"任意のテキストの言語を信頼度スコア付きで特定します。"}]}]},"credits":{"title":"クレジットの仕組み","description":"ワークフローの実行、データクリーニング、テキスト抽出、ご自身のAPIキーの使用は、すべてのプランで常に無料です。クレジットは、Email Finder、電話番号ファインダー、LinkedInスクレイピングなど、有料データソースから情報を取得するエンリッチメントに使用されます。無料プランには年間500クレジットが含まれます。有料プランには請求期間に応じたクレジットが含まれ、いつでも追加購入できます。","cards":[{"title":"すべてのプランに無料枠","description":"無料プランには年間500クレジットが含まれます。有料プランのクレジット付与量は請求期間によって異なります。クレジットを消費するのは、有料データソースから情報を取得するエンリッチメントのみです。"},{"title":"定期クレジットパック","description":"毎月さらに必要ですか？クレジット単価が最もお得な定期パックを追加できます。パックが大きいほど、1クレジットあたりの価格が下がります。"},{"title":"1回限りのトップアップ","description":"一時的に利用量が増えた際は、1回限りのトップアップをご購入いただけます。トップアップに有効期限はなく、キャンセル後も保持されます。"}],"note":"クリーニング、重複排除、ご自身のAPIキーで実行するツールにはクレジットを使用しません。","costsTitle":"クレジットで利用できる機能","costsDescription":"人気のクレジット制ツールと、その利用コストの一例です。","costs":[{"name":"企業ドメインファインダー","description":"1回の検索につき<accent>1クレジット</accent> • 企業名からドメインを高速一括特定"},{"name":"AIリサーチエージェント","description":"<accent>使用量ベース</accent> • ご自身のAPIキー使用時は無料・無制限"},{"name":"Sales Navigatorスクレイパー","description":"エクスポートするlead 1件につき<accent>10～20クレジット</accent> • 検証済みemail＆企業インテリジェンス"},{"name":"ウォーターフォールEmail Finder","description":"見つかったemail 1件につき<accent>25クレジット</accent> • 成功時のみ課金（見つからなければ0クレジット）"},{"name":"LinkedInプロフィールスクレイパー","description":"プロフィール1件につき<accent>25クレジット</accent> • 経歴、職歴、連絡先データをスクレイピング"},{"name":"求人サイトスクレイピング","description":"求人1件につき<accent>10クレジット</accent> • 職種、企業、給与、勤務地を抽出"}]},"topup":{"title":"1回限りのトップアップ容量を選択","description":"固定パックのみで、数量のカスタマイズはありません。価格は常に表示どおりです。","question":"必要なクレジット数をお選びください","credits":"クレジット","summary":"概要","oneTime":"1回限り","rate":"1,000クレジットあたり{rate}","delivered":"{label}（{amount}）","offRate":"基本料金から{discount}%オフ","baseRate":"基本料金（1kあたり{rate}）","labels":["付与クレジット","適用ティア","有効期限","請求通貨"],"never":"無期限","cta":"今すぐ購入 →","tiles":[{"title":"必要な分だけ購入","description":"有料プランへの加入が必要です。必要なときだけクレジットをご購入いただけます。"},{"title":"プランに追加","description":"月間プランの付与分に上乗せされます。"},{"title":"即時付与","description":"決済が確認され次第、クレジットが即座に付与されます。"}],"tierLabels":["20k","40k","60k","80k","100k","120k","140k","200k","300k","500k","750k","1M","1.25M","1.5M"]},"faq":{"title":"よくあるご質問","items":[{"question":"クレジットとは何ですか？何に使用されますか？","answer":"クレジットはDatablist内で使用する通貨です。有料データソースを呼び出すエンリッチメント（email・電話番号ファインダー、スクレイパー、LinkedIn、企業データ、翻訳）で消費されます。クリーニング、重複排除、ご自身のAPIキーを使用するツールでは消費されません。"},{"question":"クレジットに有効期限はありますか？繰り越せますか？","answer":"プラン付属のクレジットは請求期間ごとに更新され、繰り越されません。トップアップのクレジットに有効期限はありません。"},{"question":"定期アドオンと1回限りのトップアップの違いは何ですか？","answer":"定期アドオンでは、よりお得なクレジット単価で毎月クレジットが補充されるため、継続的な利用に最適です。1回限りのトップアップは、一時的な利用量増加に対応する単発購入で、有効期限はありません。"},{"question":"自分のAPIキーを使用できますか？","answer":"はい。LLMツール（ChatGPT、Claude、Geminiなど）は、すべてのプランでご自身のキーを使って無料で実行できます。Apollo、PeopleDataLabs、Moz、Bingは、Starter以上でご自身のキーを使用できます。"},{"question":"データ操作には料金がかかりますか？","answer":"いいえ。重複排除やクリーニングなどのデータ操作は無料です。エンリッチメントにはデータクレジットを使用しますが、それとは別に操作クレジットが加算されることはありません。"},{"question":"結果が見つかった場合にのみ課金されるエンリッチメントはどれですか？","answer":"ほとんどのファインダー（email、電話番号、個人email）は成功時のみ課金されるため、結果が見つからなければ料金はかかりません。一部のエンリッチメントは試行ごとに課金されます。詳しい内訳はヘルプセンターをご覧ください。"},{"question":"無料の500クレジットを受け取るにはどうすればよいですか？","answer":"ビジネス用emailアドレスでDatablistに登録すると、無料の500クレジットを受け取れます。"}]},"accessibility":{"included":"含まれています","notIncluded":"含まれていません"}}},"Logos":{"SUBTITLE":"多くの企業さまにご採用いただいています"},"LocaleSwitcher":{"label":"言語を変更"},"ThemeSwitcher":{"LABEL":"テーマ","LIGHT":"ライト","DARK":"ダーク","AUTO":"自動"},"TalkToUs":{"TITLE":"もし私たちが毎週、追加の3〜5時間をご提供できるとしたら、何をなさいますか？","SUBTITLE":"Datablist をお試しください。ワークフロー自動化がどれほど簡単かをご体験いただけます。すでに18,000名以上のユーザー様がその効果を実感されています！","CTA":"まずはご相談ください","START_FOR_FREE":"無料で始める！"}},"now":"$undefined","timeZone":"UTC","children":["$","$L21",null,{"children":[["$","$L22",null,{}],["$","main",null,{"className":"mt-16","children":["$","$L2",null,{"parallelRouterKey":"children","error":"$undefined","errorStyles":"$undefined","errorScripts":"$undefined","template":["$","$L3",null,{}],"templateStyles":"$undefined","templateScripts":"$undefined","notFound":"$undefined","forbidden":"$undefined","unauthorized":"$undefined"}]}],"$L23",["$","$L24",null,{}]]}]}] </article></body></html>

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