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already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data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":"회사명으로 도메인 찾기 - 회사 도메인 대량 검색 | Datablist","description":"회사명 목록을 검증된 도메인으로 대량 변환하세요. 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Google 대체 조회는 2.5크레딧이며 결과 반환 여부와 관계없이 부과되므로, 두 방식의 사용 비율에 따라 청구 금액이 달라집니다. 위의 매칭률은 Datablist에서 제공하는 수치가 아니라 사용자가 입력한 예상치입니다. 먼저 수백 개의 회사명으로 샘플을 실행한 뒤 실제 결과를 바탕으로 설정하시기 바랍니다. Google 결과는 48시간 동안 캐시되므로, 해당 기간 내에 설정을 변경하고 다시 실행하면 행당 2.5크레딧이 아닌 1크레딧이 부과됩니다. 플랜 크레딧은 매월 갱신되며 사용하지 않은 크레딧은 초기화됩니다. 추가 구매한 크레딧은 만료되지 않습니다.","datasetHint":"= 매칭된 도메인당 1크레딧으로 총 {credits}크레딧","googleHint":"= 총 {credits}크레딧: 데이터베이스 매칭 {matched}건에 건당 1크레딧, Google 조회 {googled}건에 건당 2.5크레딧","planPrice":"{plan}: 월 {price}","growthReason":"필수: API/MCP 액세스 및 자동화는 Growth 플랜부터 제공됩니다.","packageLabel":"{credits}크레딧","stackedPackageLabel":"{count}× {credits}크레딧","packagePrice":"{package} (+{price})","savings":"추가 구매 시 기본 요금에서 {amount}({discount}%)를 절약했습니다","leftover":"다른 데이터 보강에 사용할 수 있는 잔여 크레딧: {credits}","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"프로세스","title":"작동 방식","description":"Datablist는 가장 저렴하고 신뢰할 수 있는 소스부터 가장 광범위한 소스까지 순차적으로 조회하고, 검색 결과에 점수를 부여합니다.","steps":[{"label":"1단계","title":"회사명 업로드","body":"행마다 회사명 하나가 포함된 CSV 또는 Excel 파일을 가져옵니다. 정리되지 않은 회사명도 괜찮습니다. 목록에 여러 국가의 회사가 포함되어 있다면 국가 열을 추가하세요. Datablist가 이를 사용해 각 매칭의 범위를 좁힙니다."},{"label":"2단계","title":"데이터베이스 우선, 그다음 Google","body":"Datablist는 회사명을 선별된 회사 데이터셋과 대조합니다. 이 방식은 빠르며 매칭당 1크레딧이 부과됩니다. 데이터셋에서 찾지 못한 회사명은 디렉터리와 소셜 네트워크를 제외하는 실시간 Google 검색으로 넘어갑니다."},{"label":"3단계","title":"모든 매칭 결과에 신뢰도 부여","body":"각 행에는 높음, 보통, 낮음 또는 매우 낮음의 신뢰도가 표시됩니다. 신뢰도가 높은 결과는 자동으로 승인하고, 중간 수준의 결과는 검토하며, 나머지는 추가 컨텍스트와 함께 AI Agent로 보내세요."}]},"customers":{"title":"빠르게 성장하는 스타트업과 Fortune 500 팀이 신뢰합니다","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Datablist가 몇 초 만에 처리하는 일을 더 이상 수작업으로 하지 마세요","body":"Datablist를 사용해 보고 workflow 자동화가 얼마나 간편한지 확인하세요. 이미 38,000명 이상의 사용자가 경험하고 있습니다!","label":"문의하기"},"templates":{"eyebrow":"Workflows","title":"템플릿","description":"회사 도메인을 기반으로 구축된 사전 구성 workflow을 바로 사용해 보세요.","cards":[{"title":"고급 웹사이트 검색기","description":"데이터셋과 Google에서 모두 찾지 못한 회사명을 조회합니다.","imageAlt":""},{"title":"회사 데이터 보강","description":"회사명에서 시작해 전체 기업 특성 데이터를 확보합니다.","imageAlt":""},{"title":"회사명으로 LinkedIn 찾기","description":"회사명을 해당 회사의 LinkedIn 페이지와 연결합니다.","imageAlt":""}]},"tutorials":{"eyebrow":"가이드","title":"관련 튜토리얼","description":"상세한 단계별 가이드를 통해 최신 workflows를 알아보세요.","cards":[{"title":"회사명으로 도메인 찾기: 3가지 대량 처리 방법","imageAlt":"회사명으로 도메인 찾기: 3가지 대량 처리 방법"},{"title":"회사명으로 회사 데이터를 보강하는 방법","imageAlt":"회사명으로 회사 데이터를 보강하는 방법"},{"title":"회사 도메인 검색을 위한 Clearbit 대안","imageAlt":"회사 도메인 검색을 위한 Clearbit 대안"}]},"faq":{"eyebrow":"FAQ","title":"자주 묻는 질문","description":"매칭률, 요금 및 모호한 회사명 처리에 관한 일반적인 질문에 답변해 드립니다.","items":[{"question":"회사명 500개의 도메인을 찾는 데 비용이 얼마나 드나요?","answer":"각 회사명이 어떤 경로로 처리되는지에 따라 달라집니다. 데이터베이스 매칭은 1크레딧이며 도메인이 반환된 경우에만 부과되므로, 500건이 모두 성공적으로 매칭되면 약 500크레딧이 필요합니다. Google 대체 조회에는 2.5크레딧이 부과되며, 결과 검색 여부와 관계없이 과금됩니다. 위 계산기를 사용하여 예상 처리 비율에 따른 비용을 확인하세요."},{"question":"도메인 신뢰도 점수는 실제로 무엇을 의미하나요?","answer":"Datablist가 해당 도메인이 그 회사명의 도메인이라고 얼마나 확신하는지를 나타냅니다. 높음, 보통, 낮음 또는 매우 낮음으로 표시됩니다. 핵심은 대규모 결과를 우선순위에 따라 분류하는 것입니다. 높음은 자동으로 승인하고, 보통은 후속 단계에서 사용하기 전에 직접 확인하며, 낮음과 매우 낮음은 email을 보내지 말고 더 강력한 검색 방식으로 처리하세요."},{"question":"\"Dove\"나 \"United\"처럼 모호한 회사명은 어떻게 처리하나요?","answer":"이름만으로는 실제로 모호하며, 어떤 조회 방식도 자체적으로 정확히 판별할 수 없습니다. 두 가지 방법이 도움이 됩니다. 목록별 또는 행별로 대상 국가를 설정하여 후보 범위를 좁히세요. 그래도 남은 회사명은 도시, 업종 또는 설명 등의 추가 컨텍스트와 함께 AI Agent에서 실행하면 어떤 매칭이 적합한지 판단합니다."},{"question":"조회 결과가 없으면 어떻게 되나요?","answer":"상태 출력은 not_found로 표시되며, 입력 셀이 비어 있으면 empty_name으로 표시됩니다. 해당 행만 표시되도록 보기를 필터링한 후 다시 처리하세요. 국가를 추가하거나, 데이터베이스만 실행했다면 Google 대체 검색을 활성화하거나, 더 많은 컨텍스트와 함께 AI Agent로 이동할 수 있습니다."},{"question":"회사 웹사이트 대신 디렉터리 페이지가 표시되는 이유는 무엇인가요?","answer":"기본적으로 Datablist는 Google 결과의 점수를 계산할 때 루트가 아닌 URL과 Crunchbase 같은 알려진 디렉터리, LinkedIn 및 Facebook 같은 소셜 네트워크를 제외합니다. 특정 업종의 디렉터리가 계속 포함된다면 ‘제외할 도메인’에 추가하세요. 기본 제외 목록과 함께 해당 도메인도 제외됩니다."},{"question":"각 행마다 다른 대상 국가를 설정할 수 있나요?","answer":"예. ‘항목별 대상 국가 정의’를 활성화하면 대상 국가 입력란이 나타나며, 이를 열에 매핑할 수 있습니다. 허용되는 형식은 ISO 3166 코드(FR, USA) 또는 영어로 된 전체 국가명(Portugal)입니다. 국가가 누락되었거나 유효하지 않은 행에는 전역 대상 국가 설정이 적용됩니다."},{"question":"데이터 보강을 다시 실행하면 요금이 두 번 부과되나요?","answer":"Google의 경우에는 그렇지 않습니다. 결과가 48시간 동안 캐시되므로 해당 기간 내에 설정을 변경하고 다시 실행하면 행당 2.5크레딧이 아닌 1크레딧이 부과됩니다. 이미 처리된 행의 재처리를 방지하려면 도메인이 비어 있는 행만 표시되도록 보기를 필터링한 후 모든 보기 항목에 대해 실행하세요."},{"question":"도메인을 확보한 다음에는 무엇을 해야 하나요?","answer":"도메인을 확보하면 나머지 stack을 활용할 수 있습니다. 회사 데이터 보강 기능은 도메인을 바탕으로 업종, 규모, 위치 및 설립 연도를 추가합니다. Waterfall Email Finder는 이름과 도메인을 사용하여 검증된 주소를 반환합니다. 기술 데이터 보강 기능은 사이트에서 사용 중인 stack을 확인합니다."}]},"related":{"eyebrow":"연동","title":"관련 데이터 보강","description":"회사 도메인 검색기를 Datablist의 보완 데이터 도구와 함께 사용하세요.","cards":[{"title":"회사 데이터 보강","description":"도메인을 업종, 규모, 위치 및 설립 연도 데이터로 변환합니다.","imageAlt":""},{"title":"Waterfall Email Finder","description":"도메인과 이름을 사용하여 검증된 email 주소를 찾습니다.","imageAlt":""},{"title":"회사명 정리 도구","description":"조회 전에 LLC와 Inc를 제거하고 대소문자 표기를 수정합니다.","imageAlt":""}],"action":"모든 데이터 보강 보기"},"free":{"eyebrow":"무료 도구","title":"먼저 무료로 사용해 보세요","description":"규모를 확대하기 전에 몇 개의 행으로 관련 도구를 테스트할 수 있는 무료 버전입니다.","cards":[{"title":"무료 도메인 검색기","description":"회사명을 붙여 넣고 해당 웹사이트를 찾으세요. 무료이며 신용카드가 필요하지 않습니다.","imageAlt":""},{"title":"무료 회사명 정리 도구","description":"회사명을 표준화합니다. 법인 접미사를 제거하고 대소문자를 수정하며 중복을 표시합니다.","imageAlt":""},{"title":"무료 Email Finder","description":"이름과 회사 정보로 업무용 email을 찾으세요. 무료로 사용해 볼 수 있습니다.","imageAlt":""}],"action":"모든 무료 도구 보기"},"guide":{"hero":{"title":"Datablist의 회사명으로 도메인 찾기 사용 방법","description":"코드 없이 6단계로 내 목록에 Datablist의 회사명으로 도메인 찾기 기능을 실행하세요. 가이드 다음에는 설정 참고 자료와 자주 묻는 질문에 대한 답변이 제공됩니다.","trust":["간편한 사용","기술 설정 불필요","완전한 노코드"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"섹션으로 이동","items":["단계별 가이드","설정 참고 자료","관련 문서","자주 묻는 질문"]},"title":"단계별 가이드","reference":{"title":"설정 참고 자료","description":"모든 설정, 입력 및 출력에 대한 참고 자료입니다. 위 단계별 가이드에서 시작하는 데 필요한 모든 내용을 확인할 수 있습니다.","groups":[{"title":"설정","rows":[["Workflow","선택","회사 데이터셋만 사용하거나 데이터셋에서 찾지 못한 회사명을 Datablist가 Google에서 검색하도록 설정합니다"],["대상 국가","텍스트","검색 범위를 한 국가로 좁힙니다. 데이터셋을 필터링하고 Google 검색 국가를 설정합니다"],["항목별 대상 국가 정의","체크박스","행마다 국가를 설정할 수 있도록 대상 국가 입력란을 추가합니다"],["루트가 아닌 웹사이트 허용","체크박스","호스팅 플랫폼의 회사 페이지와 같이 루트 도메인이 아닌 결과를 허용합니다"],["다음 도메인 제외","긴 텍스트","기본 제공되는 디렉터리 및 소셜 네트워크 목록에 더해 제외할 도메인을 쉼표로 구분하여 입력합니다"],["Google 캐시 결과만 처리","체크박스","저장된 Google 결과만 재사용하고 새로운 실시간 검색은 실행하지 않으며 데이터셋 결과를 건너뜁니다"]]},{"title":"입력","rows":[["회사명","텍스트","조회할 회사의 이름입니다. 예: google"],["대상 국가","텍스트","‘항목별 대상 국가 정의’가 활성화된 경우에만 표시됩니다. ISO 3166 코드 또는 영어 국가명을 입력합니다"]]},{"title":"출력","rows":[["회사 도메인","텍스트","검색된 회사 도메인입니다. 예: google.com"],["회사 전체 URL","URL","검색된 회사의 전체 URL입니다. 예: https://www.google.com"],["도메인 신뢰도","텍스트","매칭 강도: 높음, 보통, 낮음 또는 매우 낮음"],["상태","텍스트","success, not_found 또는 empty_name 중 하나"]]}]},"cta":{"title":"Datablist가 몇 초 만에 처리하는 일을 더 이상 수작업으로 하지 마세요","body":"Datablist를 사용해 보고 workflow 자동화가 얼마나 간편한지 확인하세요. 이미 38,000명 이상의 사용자가 경험하고 있습니다!","label":"문의하기"},"articles":{"title":"관련 문서","cards":[{"title":"회사명으로 도메인 찾기: 3가지 대량 처리 방법","imageAlt":"회사명으로 도메인 찾기: 3가지 대량 처리 방법"},{"title":"회사명으로 회사 웹사이트 찾기","imageAlt":"회사명으로 회사 웹사이트 찾기"},{"title":"회사명으로 회사 데이터를 보강하는 방법","imageAlt":"회사명으로 회사 데이터를 보강하는 방법"}]},"steps":[{"title":"1단계: 가입 및 데이터 업로드","paragraphs":["먼저 <a href=\"signup\">Datablist.com</a>에 가입하세요","그런 다음 회사명 목록이 포함된 CSV 또는 Excel 파일을 업로드하세요"],"imageAlts":["회사명으로 도메인 찾기 - 가입","회사명으로 도메인 찾기 - 회사 목록 업로드"]},{"title":"2단계: 회사 도메인 검색 데이터 보강 열기","paragraphs":["1. 상단 메뉴에서 Enrich를 클릭합니다","2. Companies 탭을 엽니다","3. Find Company Domain from Company Name을 선택합니다."],"imageAlts":["회사명으로 도메인 찾기 - 데이터 보강 라이브러리"]},{"title":"3단계: Workflow 설정","paragraphs":["Workflow에서 \"Use only companies dataset\"을 선택합니다. 검색된 도메인당 1크레딧이 부과되는 가장 저렴한 경로입니다.","Target Country를 설정하거나, 각 행에 자체 국가 열이 있는 경우 Define Target Country By Item을 선택합니다.","데이터셋에서 찾지 못한 회사명까지 처리하려면 Google workflow을 선택하세요. 그러면 Datablist가 나머지 회사명을 실시간으로 검색하며, 도메인 반환 여부와 관계없이 조회당 2.5크레딧이 부과됩니다."],"imageAlts":["회사명으로 도메인 찾기 - 데이터베이스 Workflow 설정","회사명으로 도메인 찾기 - Google Workflow 설정"]},{"title":"4단계: 회사명 열 매핑","paragraphs":["1. 회사명이 포함된 열을 Input Property로 설정합니다","2. Continue to outputs configuration을 클릭합니다"],"imageAlts":["회사명으로 도메인 찾기 - 입력 열 매핑"]},{"title":"5단계: 도메인 출력 선택","paragraphs":["1. ⊕ 아이콘 또는 Add all 3 outputs to collection을 사용하여 출력 항목을 컬렉션에 추가합니다.","2. Instant Run을 클릭합니다","도메인 신뢰도와 상태를 유지하세요. 모든 행을 동일하게 신뢰하는 대신 실행 후 결과를 분류할 수 있게 해주는 항목입니다."],"imageAlts":["회사명으로 도메인 찾기 - 출력 설정"]},{"title":"6단계: 데이터 보강 대량 실행","paragraphs":["마지막으로 버튼 오른쪽의 펼침 아이콘을 클릭하여 실행 설정을 구성합니다. 다음 옵션 중에서 선택할 수 있습니다.","• 처음 10개 항목에 실행: 전체 실행 전에 결과를 확인하는 데 적합합니다","• 처음 100개 항목에 실행: 더 큰 샘플을 검증하려는 경우 유용합니다","• 처음 {X}개 항목에 실행: 처리할 항목 수를 직접 선택할 수 있습니다","• 모든 보기 항목에 실행: 전체 목록을 처리합니다(필터를 활성화한 경우 현재 보기에 표시된 항목)","원하는 옵션을 선택한 후 Run on X items를 클릭합니다","몇 분 이내에 회사명 옆에 검증된 도메인 열이 생성되어 다음 데이터 보강에 사용할 수 있습니다.","도메인 신뢰도를 기준으로 정렬하거나 필터링한 다음, 낮음, 매우 낮음 및 not_found 행을 도시나 업종 같은 추가 컨텍스트와 함께 AI Agent로 보내세요."],"imageAlts":["회사명으로 도메인 찾기 - 실행 설정","회사명으로 도메인 찾기 - 웹사이트 검색기 실행","회사명으로 도메인 찾기 - 데이터베이스 결과","회사명으로 도메인 찾기 - AI Agent 결과"]}],"faq":{"title":"자주 묻는 질문","items":[{"question":"두 가지 workflow 옵션의 차이점은 무엇인가요?","answer":"회사 데이터셋 전용 옵션은 회사명을 선별된 회사명-도메인 데이터셋과 대조합니다. 빠른 경로이며 1크레딧이 들고 매칭에 성공한 경우에만 과금됩니다. 두 번째 옵션은 데이터셋에서 매칭하지 못한 회사명을 실시간 Google 검색으로 조회합니다. 조회당 2.5크레딧이 부과되며 도메인 반환 여부와 관계없이 과금됩니다."},{"question":"하나의 회사명과 여러 도메인이 매칭되면 어떤 도메인이 제공되나요?","answer":"트래픽이 가장 많은 도메인이 제공됩니다. 원하는 방식이 아니라면 대상 국가로 범위를 좁히는 것이 가장 효과적입니다. 동률 여부를 판단하기 전에 데이터셋이 먼저 필터링되기 때문입니다."},{"question":"‘루트가 아닌 웹사이트 허용’은 어떤 기능인가요?","answer":"기본적으로 Datablist는 루트 도메인이 아닌 Google 결과를 거부합니다. 따라서 directory.com/mycompany 같은 디렉터리 페이지가 목록에 포함되지 않습니다. 다만 hostingplatform.com/mycompanypage처럼 플랫폼 내에 사이트가 있는 실제 회사도 누락될 수 있습니다. 목록에 소규모 기업이 많다면 이 옵션을 활성화하세요."},{"question":"48시간 Google 캐시는 크레딧에 어떤 영향을 주나요?","answer":"Datablist는 Google 검색 결과를 48시간 동안 캐시합니다. 해당 기간 내에 ‘루트가 아닌 웹사이트 허용’ 또는 ‘다음 도메인 제외’를 변경하고 다시 실행하면 캐시에서 결과를 가져오므로 행당 2.5크레딧이 아닌 1크레딧이 부과됩니다. 따라서 두 설정을 저렴하게 조정할 수 있습니다."},{"question":"‘Google 캐시 결과만 처리’는 무엇을 위한 기능인가요?","answer":"이미 비용을 지불한 Google 결과로 실행 범위를 제한하고 데이터셋 결과는 모두 건너뜁니다. 새로운 실시간 검색에 비용을 쓰지 않고 이전 실행 결과를 다른 설정으로 다시 평가할 때 사용하세요."},{"question":"대상 국가에는 어떤 형식이 허용되나요?","answer":"FR 같은 ISO 3166 Alpha-2 코드, USA 같은 Alpha-3 코드 또는 Portugal 같은 영어 전체 국가명이 허용됩니다. 행의 국가가 누락되었거나 유효하지 않으면 Datablist는 전역 대상 국가 설정을 적용합니다."},{"question":"실패한 행만 다시 실행하려면 어떻게 해야 하나요?","answer":"상태 또는 신뢰도가 낮은 매칭의 도메인 신뢰도를 기준으로 보기를 필터링한 다음 ‘모든 보기 항목에 실행’을 선택하세요. 필터링된 보기에 포함된 행만 처리되므로 이미 해결된 행에 다시 비용을 지불하지 않아도 됩니다."},{"question":"AI Agent는 언제 사용해야 하나요?","answer":"회사명이 모호하고 조회 기능에서 사용할 수 없는 컨텍스트를 보유하고 있을 때 사용하세요. 데이터셋과 Google은 모두 회사명만을 기반으로 작동합니다. AI Agent는 도시, 업종 또는 설명을 함께 입력받아 회사를 조사하고, 신뢰도 점수 및 설명과 함께 도메인을 반환합니다. 사용량 기반이며 행당 비용이 더 높으므로 나머지 결과에만 활용하는 것이 좋습니다."}]}},"corner":{"title":"무료로 사용해 보기","body":"회사명 목록을 검증된 도메인으로 대량 변환하세요. 이미 38,000명 이상의 사용자가 Datablist를 이용하고 있습니다.","label":"무료로 사용해 보기","close":"CTA 닫기"}},"EnrichmentWaterfallEmailFinder":{"metadata":{"title":"Waterfall Email Finder - Find Verified Emails in Bulk | Datablist","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once with Datablist's Waterfall Email Finder."},"breadcrumb":"Waterfall Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Email Finder","description":"Find verified emails of all your prospects and contacts in bulk using 20+ of the best data vendors at once.","trust":["Cheapest Waterfall on the Market","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Find 20 emails free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Maximize email find rates by querying over 20 top data providers in sequential order until a verified address is found.","cards":[{"title":"What you give","items":["First Name & Last Name: Or combined full name property","Company Name or Domain: e.g. acme.com or Acme Corp","Or LinkedIn Profile URL: Direct profile link method"],"links":["See full input reference"]},{"title":"What you get","items":["Work Email Address: The address found for the contact","Email Deliverability Status: verified or unverified for a found address","MX Provider Detected: E.g. Google Workspace, Microsoft 365"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Found Email: Deducted when an email is found","0 Credits if Not Found: Zero wasted spend on misses","Custom API Keys Supported: Bring your own provider accounts"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: First Name, Last Name and Company Domain. Output: Email, Email Status and MX Provider.","groups":["Your data","Added by Waterfall Email Finder"],"headers":["First Name","Last Name","Company Domain","Email","Email Status","MX Provider"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many verified emails you need and we'll show you the cheapest way to get them.","unitsLabel":"Verified emails needed","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Use your own API keys for the Email Finder","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You're only charged 25 credits when an email is actually verified and found, never for a miss. Plan credits renew every month and reset if unused, so they're sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, making them the better fit for one-off spikes in volume.","emailHint":"= {credits} credits at {rate} credits per found email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access, custom API keys, and automation are Growth-only.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist cascades your contact through multiple elite providers until a deliverable email is confirmed.","steps":[{"label":"Step 1","title":"Upload your list","body":"Import any CSV or Excel file with your contacts. All you need is a first name, last name, and company name or domain. Or a LinkedIn Profile URL if you have it."},{"label":"Step 2","title":"The waterfall runs across 20+ providers","body":"Instead of relying on a single email finder, Datablist queries multiple providers in sequence: Icypeas, Enrow, Findymail, Prospeo, Wiza, and more. If one provider does not find a result, the next one tries. This cascading approach increases your hit rate by up to 30% compared to using a single tool."},{"label":"Step 3","title":"Every email verified","body":"Each found address has Email Status information: verified or unverified. Review unverified addresses before sending. No-result and input errors appear in the run-status column. You only pay for emails that are actually found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Business Owner Finder","description":"Pull owner names and titles off company websites.","imageAlt":""},{"title":"Email First Line","description":"Draft a personalised opener for every contact.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Email Finder with complementary data tools in Datablist.","cards":[{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Find direct mobile phone numbers for B2B prospects globally.","imageAlt":""},{"title":"Company Enrichment","description":"Turn a domain into industry, size, location, and founded year.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about email finding rates, billing, and provider waterfall rules."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Email Finder","description":"Run Datablist's Waterfall Email Finder on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Search Method","Select","Find by name + company (default), or by LinkedIn Profile URL"],["Use Full Name","Checkbox","Use a single Full Name input instead of First Name and Last Name"],["Custom Waterfall","Checkbox","Use your own API keys and provider sequence with By Name and Company"],["Waterfall Sequence","Sequence","Define the order of providers and configure API keys for each one"]]},{"title":"Inputs","rows":[["First Name","Text","First input property for the name + company search method"],["Last Name","Text","Second input property for the name + company search method"],["Full Name","Text","Replaces First Name and Last Name when Use Full Name is enabled"],["Company Name or Domain","Text","Third input property for the name + company search method"],["LinkedIn Profile URL","Text","Standard LinkedIn profile URL. Required for LinkedIn mode; optional for name + company. Sales Navigator URLs are unsupported."]]},{"title":"Outputs","rows":[["Email","Email","The work email address found"],["Email Status","Text","Deliverability information for a found email: verified or unverified"],["MX Provider","Text","The contact's email provider, e.g. Google or Microsoft"],["Provider","Text","Available with Custom Waterfall. The email-finding provider that returned the result"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape All Finance Job Postings in New York (19 Job Boards At Once)","imageAlt":"How To Scrape All Finance Job Postings in New York"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"Learn How To Find Phone Numbers At Scale","imageAlt":"Learn How To Find Phone Numbers At Scale"}]}},"corner":{"title":"Try it for Free","body":"Find verified emails of all your contacts in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentSmartScraper":{"metadata":{"title":"Smart Scraper - Scrape Webpage Text, Emails and Social Links in Bulk | Datablist","description":"Scrape website text, email addresses, phone numbers, LinkedIn and Instagram links from a list of URLs. 0.10 credits per page, 0.50 with a proxy."},"breadcrumb":"Smart Scraper","tabs":["Overview","How to use"],"hero":{"title":"Smart Scraper","description":"Turn a list of webpage URLs into text, emails, phone numbers, and LinkedIn and Instagram links. A simple scrape costs 0.10 credits per page.","trust":["0.10 Credits per Page","Follows About and Contact Pages","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Smart Scraper reads each webpage on your list and returns its text, email addresses, phone numbers, LinkedIn links and Instagram links. It can follow About us and Contact pages, and use a proxy when a site blocks normal requests.","cards":[{"title":"What you give","items":["URL to Parse: A full URL with http or https, one per row","Follow Pages: Optional: follow the About us and Contact pages","Proxy and Rendering: Optional: proxy on errors, or render JavaScript pages"],"links":["See full input reference"]},{"title":"What you get","items":["Website Texts: Page text with headers and footers skipped, ready for ChatGPT","Emails and Phone Numbers: Comma-separated lists of what is found on the page","Social Links: LinkedIn profiles, LinkedIn company pages and Instagram profiles"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 simple pages cost 1,000 credits","0.50 Credits with a Proxy: With proxy fallback you pay it only for pages that need it","2 Credits with Render HTML: For pages rendered by JavaScript"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: URL to parse. Output: 6 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Smart Scraper"],"headers":["URL to parse","Website Texts","Email Addresses","Phone Numbers","LinkedIn Profiles","LinkedIn Company Pages","Instagram Profiles"],"caption":"Sample input and output.","scrollHint":"7 columns, scroll →","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping mode?","modes":["Basic scraping (0.1 credits per page)","With a proxy (0.5 credits per page)","With Render HTML (2 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Basic scraping costs 0.10 credits per page, proxy scraping 0.50 credits, and Render HTML 2 credits. A cached page costs 0.05 credits. This estimate counts each listed URL once at your selected rate. Additional About/Contact pages and automatic rendering can add to the total; cached results can reduce it. Plan credits follow your billing cycle. Top-up credits never expire and are used after subscription credits are exhausted.","scraperHint":"= {credits} credits at {rate} credits per page","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add webpage URLs and get clean data columns back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one webpage URL per row. Use the full URL with http or https, whether it is a company site, a directory or a landing page. Remove duplicate URLs first, so you do not scrape the same page twice."},{"label":"Step 2","title":"Choose what to extract","body":"Pick text, emails, phone numbers, LinkedIn links and Instagram profiles, and decide whether to follow the About us and Contact pages. Turn on the proxy for sites that block normal requests. Additional About/Contact pages have their own scrape costs."},{"label":"Step 3","title":"Get clean columns back","body":"Each URL returns its data as columns, with several results as comma-separated lists. Send the text to ChatGPT to classify or summarize each site, or filter the contact columns for outreach."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Video Links from Webpage","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Case Study Finder","description":"Find case studies on a company website.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Smart Scraper with complementary data tools in Datablist.","cards":[{"title":"Instagram Profile Scraper","description":"Scrape public Instagram profile data in bulk.","imageAlt":""},{"title":"Impressum Scraper","description":"Extract company details from German Impressum pages.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, About pages and text for ChatGPT."},"guide":{"hero":{"title":"How to use Datablist's Smart Scraper","description":"Run Datablist's Smart Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","Scrapes JS-Rendered Pages"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Follow \"About us\" page","Boolean","When enabled, Datablist scans the page to find the \"About us\" link. Then it scrapes the page to find relevant links, emails, texts, etc."],["Follow \"Contact\" page","Boolean","When enabled, Datablist scans the page to find the \"Contact\" link. Then it scrapes the page to find relevant links, emails, texts, etc."],["Use Proxy when needed","Boolean","Enable proxy requests when normal scraping fails or returns incomplete content. Proxy pages cost 0.50 credits; rendered pages cost 2 credits. Disabled by default. Access is not guaranteed."],["Proxy Policy","Select","Available when Use Proxy when needed is enabled. Use proxy on error (default) tries a direct request first. Always use proxy sends uncached page requests through the proxy from the start."],["Render HTML","Boolean","Available when Use Proxy when needed is enabled. Renders a page in a headless browser before scraping JavaScript content. Costs 2 credits per rendered page. Off by default."],["Show advanced settings","Boolean","Shows cache settings and ignore terms for Instagram and LinkedIn links."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."],["Instagram Ignore Terms","Text","Optional. Comma-separated list of terms to filter Instagram results. For example, with the ignore term: \"data\", the instagram https://www.instagram.com/DATAblist/ will be ignored."],["LinkedIn Ignore Terms","Text","Optional. Comma-separated list of terms to filter LinkedIn results. For example, with the ignore term: \"data\", https://www.linkedin.com/company/DATAblist/ will be ignored."]]},{"title":"Inputs","rows":[["URL to parse","-","Full URL with protocol (http/https)."]]},{"title":"Outputs","rows":[["Website Texts","LongText","Analyze the pages and extract relevant texts. Headers texts, footer texts, etc. are skipped. The text can be used to feed ChatGPT."],["Email Addresses","Text","Comma-separated list of email addresses when found."],["Phone Numbers","Text","Comma-separated list of phone numbers when found."],["LinkedIn Profiles","Text","Comma-separated list of LinkedIn profiles when found."],["LinkedIn Company Pages","Text","Comma-separated list of LinkedIn company pages when found."],["Instagram Profiles","Text","Comma-separated list of instagram profiles when found."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Scrape text, emails and social links from webpages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentWaterfallPhoneFinder":{"metadata":{"title":"Waterfall Phone Finder - Find Phone Numbers From LinkedIn URLs in Bulk | Datablist","description":"Find direct phone numbers from LinkedIn profile URLs in bulk. Datablist's Waterfall Phone Finder checks several data providers in sequence. 500 credits per phone number found."},"breadcrumb":"Waterfall Phone Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Phone Finder","description":"Turn LinkedIn profile URLs into direct phone numbers. Datablist checks several data providers in sequence, and you only pay for numbers it finds.","trust":["500 Credits per Number Found","LinkedIn URL to Phone Number","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall Phone Finder finds a phone number from a LinkedIn profile URL. It asks several data providers in sequence and stops at the first match, so you only pay for numbers it finds.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: One per row, in the format linkedin.com/in/name","Public Profile URLs Only: Sales Navigator profile URLs are not supported","Allowed Cache Age: Optional, 30 days by default"],"links":["See full input reference"]},{"title":"What you get","items":["Phone Number: The number found, in international format","Country: The two-letter country code of the number","Provider (Custom Waterfall): Optionally identify which provider found the number"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["500 Credits per New Number Found: 100 uncached numbers cost 50,000 credits","Billed per Number Found: No charge for no-number results or reused cached results","About $0.50 per Number: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: Phone Number and Country.","groups":["Your data","Added by Waterfall Phone Finder"],"headers":["LinkedIn Profile URL","Phone Number","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many phone numbers you want to find and we'll show you the cheapest way to get them.","unitsLabel":"Phone numbers to find","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall Phone Finder costs 500 credits per phone number found, and nothing when no number is found. The estimate assumes every profile returns a number, so your real cost is lower when some return no result. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","phoneHint":"= {credits} credits at {rate} credits per phone number found","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add LinkedIn URLs and Datablist checks several data providers for you.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with one LinkedIn profile URL per row. Use public profile URLs like linkedin.com/in/name. Sales Navigator URLs are not supported. Keep your original columns next to the results."},{"label":"Step 2","title":"The waterfall runs","body":"Datablist asks the first data provider for the number. If it comes back empty, the next provider tries, and so on until one finds a match. Several sources together cover more roles and regions than one, and the whole process runs in the background."},{"label":"Step 3","title":"Get numbers, pay for hits","body":"Each row gets a phone number in international format, its country code and a status. You only pay for the numbers found. A row with no result costs nothing, so a miss never hurts your budget."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Business Number Extractor","description":"Visit a company website and extract its phone number.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""},{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall Phone Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Finder from Name","description":"Find a prospect's LinkedIn profile URL from their name.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about coverage, billing and how the waterfall works."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Phone Finder","description":"Run Datablist's Waterfall Phone Finder on your own list in 6 steps, no code needed. 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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. 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This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Email","Email","Email Found"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]}},"corner":{"title":"Try it for Free","body":"Find personal emails from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentLinkedInProfileScraper":{"metadata":{"title":"LinkedIn Profile Scraper - Extract LinkedIn Profile Data in Bulk | Datablist","description":"Turn a list of LinkedIn or Sales Navigator profile URLs into full contact records in bulk. No account connection required, so your LinkedIn profile is never at risk."},"breadcrumb":"LinkedIn Profile Scraper","tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Profile Scraper","description":"Turn a list of LinkedIn profile URLs into full contact records. Your own account is never connected, so it can never be flagged.","trust":["No Login Required","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Scrape 20 profiles free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The LinkedIn Profile Scraper pulls public profile data from any LinkedIn or Sales Navigator URL. It reads the public page directly, so Datablist never needs your LinkedIn credentials.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: e.g. linkedin.com/in/janedoe","Or a Sales Navigator URL: e.g. linkedin.com/sales/lead/xxxx","Nothing else: No name, no company, no login"],"links":["See full input reference"]},{"title":"What you get","items":["Identity & Location: Name, headline, summary, city, state, country","Work History: Up to 10 experiences with titles, dates, and descriptions","Current Company Data: Website, industry, employee range, and description"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Profile: Fresh data pulled live from LinkedIn","20 Credits with Cached Profiles: Enable cached results when available; fresh fallback can cost 25","Charged per Profile: Not per field, however many you return"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. 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. 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The estimate charges every search you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. Matching cached searches cost 0 credits. A completed search can still use credits when no result remains after filtering.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"searchHint":"= {credits} credits at {rate} credits per search"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one query template and Datablist runs it for every row.","steps":[{"label":"Step 1","title":"Import your file","body":"Upload a CSV or Excel file with the values you want to search for, such as company names, domains or person names. 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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. 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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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Available when Number of Results is at least 5."],["Result 5 Snippet","LongText","Search snippet (short description) of result #5. 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Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your OpenAI API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by ChatGPT for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used when you provide your own OpenAI API key","Billed by OpenAI: Usage is charged to your own OpenAI account in own-key mode","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask ChatGPT/OpenAI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask ChatGPT/OpenAI does not use Datablist credits, so there is no cost to estimate. 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The enrichment stays free of credits, but API and MCP access come with Growth."]]},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your OpenAI API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format or tone, and turn on Cache Results on a paid Datablist plan to skip duplicate prompts."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages rate limits and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask ChatGPT/OpenAI with complementary data tools in Datablist.","cards":[{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"Ask Mistral AI","description":"Run Mistral AI on every row.","imageAlt":"Ask Mistral AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask ChatGPT/OpenAI","description":"Run Datablist's Ask ChatGPT/OpenAI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Datablist credits","Boolean","Check this setting to use Datablist's OpenAI account instead of your own key. Useful to avoid rate limits or when you do not have an OpenAI account."],["OpenAI API Key","Text","Your OpenAI API Key. Available in your OpenAI account under API Keys at platform.openai.com/api-keys. Turn on Use Datablist credits to use Datablist's OpenAI account instead."],["Prompt","RichText","Prompt to be used to call ChatGPT. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Cache Results","Boolean","Enable this to cache results for 48 hours. Identical prompts with the same settings on the same data reuse previous responses for free (no additional credits used). Available on paid Datablist plans."],["Max Concurrent Calls","Number","Maximum number of parallel calls. Default is 10. Reduce if you hit rate limit errors."],["GPT Model","Select","(Optional) Select the GPT model. Default to GPT 4o mini. See the OpenAI Models page."],["Model id","Text","Write the GPT model id. Example: gpt-5.4-nano, gpt-5.4-mini. Check OpenAI's pricing page for the list. Select Other in GPT Model first. Custom model IDs require your own API key."],["Advanced Settings","Boolean","Configure max tokens, reasoning effort, flex mode, and response verbosity."],["ChatGPT Max tokens","Number","The maximum number of output tokens. If unset, the provider/model default applies."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."],["Use Flex Mode","Boolean","Enable lower-cost Flex processing on compatible models, with longer response times."],["Flex Timeout (seconds)","Number","Default 360 seconds. Accepts 30–1,500 seconds; available when Flex mode and Advanced Settings are enabled."],["Reasoning Effort","Select","Low, Medium or High on compatible models. Defaults to Medium."],["Response Verbosity","Select","Low, Medium or High on compatible models. Defaults to Medium."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by ChatGPT."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run ChatGPT on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask ChatGPT/OpenAI"},"EnrichmentAskDeepSeek":{"metadata":{"title":"Ask DeepSeek AI - Run DeepSeek on Every CSV or Excel Row | Datablist","description":"Run a DeepSeek prompt on every row of a CSV or Excel file. Free in Datablist with your own DeepSeek API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask DeepSeek AI","description":"Write one prompt and run DeepSeek on every row of your CSV or Excel file. Free in Datablist with your own DeepSeek API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask DeepSeek AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your DeepSeek API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by DeepSeek for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by DeepSeek: Usage is charged to your own DeepSeek account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask DeepSeek AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask DeepSeek AI does not use Datablist credits, so there is no cost to estimate. 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Top it up in the DeepSeek Platform before you start a large file."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your DeepSeek API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format, for example to return just the result."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask DeepSeek AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask DeepSeek AI","description":"Run Datablist's Ask DeepSeek AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["DeepSeek API Key","Text","Your DeepSeek API Key. Available at platform.deepseek.com/api_keys."],["Prompt","RichText","Prompt to be used to call DeepSeek. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["DeepSeek Model","Select","Choose the model to use. See DeepSeek's models and pricing page to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written on DeepSeek's models and pricing page. Select Other in DeepSeek Model first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run DeepSeek on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask DeepSeek AI"},"EnrichmentApolloPeopleSearch":{"metadata":{"title":"Apollo.io People Search - Find Leads by Company Domain in Bulk | Datablist","description":"Search people at a list of company domains with Apollo.io. Define job titles and seniority and get profiles in your CSV or Excel file. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Search","description":"Turn a list of company domains into matching people. Define job titles and seniority, and get profiles back. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Up to 3 Leads per Company","Fallback Titles When No Match"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Search runs Apollo people searches in bulk. Give it company domains, define the roles or seniority you want, and it returns matching profiles in your table.","cards":[{"title":"What you give","items":["Company Domain: One company domain per row, for example google.com","Job Titles or Seniority: At least one of the two, with optional fallback title lists","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Matching Profiles: Name, job title, seniority, location and LinkedIn URL","Work Email and Company Data: When Apollo returns them for the profile","Total Query Results: how many profiles matched each company"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","Any Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Domain. Output: Full Name #1, Job Title #1, Seniority #1, Country #1 and Total Query Results.","groups":["Your data","Added by Apollo.io People Search"],"headers":["Company Domain","Full Name #1","Job Title #1","Seniority #1","Country #1","Total Query Results"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Search does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo's People Search costs 0 Apollo credits. Turning the hits into complete profiles typically uses 1 Apollo credit per profile returned. The optional company name fallback uses 1 Apollo credit per search page."],["Running in the app","Needs a Datablist plan, and any paid plan works. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan. Check your Apollo API limits before running a large file. A Datablist plan is needed to run this enrichment in the app, and any paid plan works."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and the roles you want, and get people back.","steps":[{"label":"Step 1","title":"Import your company domains","body":"Upload a CSV or Excel file with one company domain per row. Domains are more precise than company names. Add the company name too as a fallback for companies with several domains."},{"label":"Step 2","title":"Define the people you want","body":"Paste your Apollo API key, then add job titles, a seniority level, or both. Add fallback title lists for when the first list finds nobody, and choose up to 3 people per company."},{"label":"Step 3","title":"Run it and review the status","body":"Datablist searches each company and writes the profiles into numbered columns, plus a Total Query Results count for every row. Filter no-result rows to adjust your titles and rerun them. Keep the status column so you can see which rows failed."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Find Company Domain from Company and Employee Names","description":"Find a company's official domain using its name and an employee's full name to identify and verify the correct company.","imageAlt":"Find Company Domain from Company and Employee Names"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Search with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Search","description":"Find people at a company by job title and seniority.","imageAlt":"Waterfall People Search"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Search","description":"Run Datablist's Apollo.io People Search on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Get your API key on developer.apollo.io/keys."],["Person Titles","Text","Comma-separated list of person's titles. For example: sales director, engineer manager. The query will return results matching ANY of the titles passed in. You must define at least one Person Title or Person Seniority."],["Titles Fallback 1","Text","Search other job titles when no profile matches the main title list. Optional."],["Titles Fallback 2","Text","Search other job titles when no profile matches the \"Titles Fallback 1\" list. Optional."],["Titles Fallback 3","Text","Search other job titles when no profile matches the \"Titles Fallback 2\" list. Optional."],["Person Seniority","Select (multiple)","Select one or more seniority levels. Apollo returns people matching any selected level. You must define at least one Person Title or Person Seniority."],["Number of persons returned per search","Number","Default to 1. Max 3."]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain. Ex: google.com"],["Company name (optional)","Text","Company name is used as fallback if the company domain has yielded no result. This can be the case with companies that have several domains (.fr, .es, .com, etc.)."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","Returned by Apollo."],["Job Start Date #1","Text","Returned by Apollo."],["Seniority #1","Text","Returned by Apollo."],["City #1","Text","Returned by Apollo."],["Country #1","Text","Returned by Apollo."],["Company LinkedIn Page #1","Url","Returned by Apollo."],["Apollo Person ID #1","Text","Unique Apollo identifier for the person."],["Work Email Address #1","Email","Work email returned by Apollo Bulk People Enrichment."],["Email Status #1","Text","Apollo verification status for the work email."],["Email Domain Catch-all #1","Boolean","Whether Apollo identifies the email domain as catch-all."],["Email Domain Catch-all Verdict #1","Text","Apollo's catch-all verdict for the email domain."],["Email Confidence #1","Number","Apollo confidence score for an extrapolated email."],["Profile Photo #1","Url","Profile photo URL."],["Twitter/X Profile #1","Url","Twitter or X profile URL."],["GitHub Profile #1","Url","GitHub profile URL."],["Facebook Profile #1","Url","Facebook profile URL."],["State/Region #1","Text","Person's state or region."],["Formatted Address #1","Text","Person's formatted location or address."],["Street Address #1","Text","Person's street address when available."],["Postal Code #1","Text","Person's postal code."],["Time Zone #1","Text","Person's time zone."],["Departments #1","Text","Apollo department classifications for the person."],["Subdepartments #1","Text","Apollo subdepartment classifications for the person."],["Functions #1","Text","Apollo job-function classifications for the person."],["Employment History #1","LongText","Complete employment history returned by Apollo, formatted as JSON."],["Apollo Organization ID #1","Text","Unique Apollo identifier for the current organization."],["Organization Name #1","Text","Name of the person's current organization."],["Intent Strength #1","Text","Apollo intent-strength value when available."],["Intent Available #1","Boolean","Whether Apollo exposes intent data for the person."],["Company Domain #1","Text","Primary domain of the current organization."],["Company Website #1","Url","Website URL of the current organization."],["Company Twitter/X #1","Url","Twitter or X URL of the current organization."],["Company Facebook #1","Url","Facebook URL of the current organization."],["Company AngelList #1","Url","AngelList URL of the current organization."],["Company Crunchbase #1","Url","Crunchbase URL of the current organization."],["Company Logo #1","Url","Logo URL of the current organization."],["Company Phone #1","Text","Main phone number of the current organization."],["Company Founded Year #1","Number","Year the current organization was founded."],["Company Industry #1","Text","Primary industry of the current organization."],["Company Industries #1","Text","Industries associated with the current organization."],["Company Secondary Industries #1","Text","Secondary industries associated with the current organization."],["Company Keywords #1","LongText","Keywords associated with the current organization."],["Company Estimated Employees #1","Number","Apollo's estimated employee count for the current organization."],["Company Revenue #1","Number","Numeric revenue estimate for the current organization."],["Company Revenue (Formatted) #1","Text","Formatted revenue estimate returned by Apollo."],["Company Headcount Growth (6 Months) #1","Number","Six-month organization headcount growth."],["Company Headcount Growth (12 Months) #1","Number","Twelve-month organization headcount growth."],["Company Headcount Growth (24 Months) #1","Number","Twenty-four-month organization headcount growth."],["Company Alexa Ranking #1","Number","Alexa ranking returned by Apollo."],["Company Formatted Address #1","Text","Formatted address of the current organization."],["Company Street Address #1","Text","Street address of the current organization."],["Company City #1","Text","City of the current organization."],["Company State/Region #1","Text","State or region of the current organization."],["Company Postal Code #1","Text","Postal code of the current organization."],["Company Country #1","Text","Country of the current organization."],["Company Languages #1","Text","Languages associated with the current organization."],["Company NAICS Codes #1","Text","NAICS industry classification codes."],["Company SIC Codes #1","Text","SIC industry classification codes."],["Company Stock Symbol #1","Text","Public stock symbol of the current organization."],["Company Stock Exchange #1","Text","Public stock exchange of the current organization."],["Company Retail Location Count #1","Number","Number of retail locations reported by Apollo."],["Total Query Results","Number","The total number of profiles maching the query"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find the right people at a list of companies with your own Apollo key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Search"},"EnrichmentApolloPeopleEnrichment":{"metadata":{"title":"Apollo.io People Enrichment - Enrich Contacts With Apollo in Bulk | Datablist","description":"Enrich contacts with the Apollo.io People Enrichment API from a CSV or Excel file. Get LinkedIn URL, job title, email and phone number. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Enrichment","description":"Enrich a list of contacts with Apollo: LinkedIn URL, job title, email, phone number and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Match by Email or LinkedIn","Social Profiles and Location"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Enrichment enriches contacts with the Apollo.io API. Provide a LinkedIn URL or an email, or a name with a company, and it returns the profile details Apollo has.","cards":[{"title":"What you give","items":["A LinkedIn URL or an Email: Either one is enough on its own","Or a Name and a Company: First and last name, or full name, with a company domain or name","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Contact Details: Email, phone number, title, seniority and LinkedIn URL","Profiles and Location: Twitter or X, Facebook, city, state and country","Company Details: Company name, LinkedIn page and website"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Full Name and Company Domain. Output: Email from Apollo, Title, LinkedIn URL and Seniority.","groups":["Your data","Added by Apollo.io People Enrichment"],"headers":["Full Name","Company Domain","Email from Apollo","Title","LinkedIn URL","Seniority"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it a LinkedIn URL, an email, or a name with a company, and get the contact details back.","steps":[{"label":"Step 1","title":"Import your contacts","body":"Upload a CSV or Excel file with your contacts. The most reliable inputs are a LinkedIn profile URL or an email. A first name, last name and company domain also work."},{"label":"Step 2","title":"Paste your key and map inputs","body":"Paste your Apollo API key and map the columns that identify each person. Skip the inputs you do not have, since one strong identifier is enough. Test on the first 10 rows before you run the whole list."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each contact and writes the details into new columns. Filter the rows with empty output columns to find the people Apollo could not match. Fix the source data and rerun those rows."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Enrichment with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email, a LinkedIn URL or a name.","imageAlt":"Waterfall People Enrichment"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Enrichment","description":"Run Datablist's Apollo.io People Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["First Name","Text","Person's first name. Ex: Tim"],["Last Name","Text","Person's last name. Ex: Zheng"],["Full Name","Text","Person's full name (if you don't have the first name and last name split). Ex: Tim Zheng. We recommend using the First Name and Last Name fields instead for better results."],["Email","Email","Person's email (optional). Ex: example@domain.com. If you have the person's email, you don't need to map the other input fields."],["LinkedIn Url","Text","Person's LinkedIn URL. If you provide the LinkedIn URL, do not map the name or other fields. This gives the best results."],["Company Name","Text","Person's company name (optional). Ex: Datablist"],["Company Domain","Text","Person's company domain (optional). Ex: datablist.com. Recommended over just the company name."]]},{"title":"Outputs","rows":[["Email from Apollo","Email","Person's email"],["Phone Number","Text","The matched company's business phone number, when available. This integration does not enable mobile-phone reveal."],["Title","Text","Person's job title. Ex: Sales Executive, CEO, etc."],["Seniority","Text","Person's seniority. Ex: entry, vp, c_suite"],["LinkedIn URL","Url","Person's LinkedIn url."],["Twitter URL","Url","Person's Twitter url."],["Facebook URL","Url","Person's Facebook url."],["Github URL","Url","GitHub URL output. Currently empty in this integration."],["State","Text","The person's state or region."],["City","Text","The person's city."],["Country","Text","The person's country."],["Company Name from Apollo","Text","Person's company name."],["Company LinkedIn URL","Url","Person's company LinkedIn url."],["Company Website","Url","Person's company website."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]}},"corner":{"title":"Try it for Free","body":"Enrich contacts with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Enrichment"},"EnrichmentApolloCompanyEnrichment":{"metadata":{"title":"Apollo.io Company Enrichment - Enrich Domains With Apollo in Bulk | Datablist","description":"Enrich company domains with the Apollo.io Organization Enrichment API from a CSV or Excel file. Get industry, employees, address and social URLs. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io Company Enrichment","description":"Enrich a list of company domains with Apollo: industry, employees, address, social URLs and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","20 Data Fields per Company","Social URLs and Address"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io Company Enrichment enriches company domains with the Apollo.io Organization Enrichment API. Give it a domain and it returns the social URLs, industry, size, address and more.","cards":[{"title":"What you give","items":["A Company Domain: One domain per row, for example google.com","Your Apollo API Key: Pasted into the settings","No Other Settings: Map the domain, choose outputs and run"],"links":["See full input reference"]},{"title":"What you get","items":["Company Basics: Name, website, description, industry and founded year","Size, Phone and Address: Employees, phone number and the full address","Social Links: LinkedIn, Twitter or X, Facebook, Crunchbase and AngelList"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Domain. Output: Company Name, Company Industry, Estimated Number of Employees, City and Country.","groups":["Your data","Added by Apollo.io Company Enrichment"],"headers":["Domain","Company Name","Company Industry","Estimated Number of Employees","City","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io Company Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and get firmographic data back.","steps":[{"label":"Step 1","title":"Import your domains","body":"Upload a CSV or Excel file with one company domain per row. A clean domain, such as google.com, is all the enrichment needs to find a company."},{"label":"Step 2","title":"Paste your key and map the domain","body":"Paste your Apollo API key and map the Domain input to your domain column. There are no other settings to configure, so you can go straight to choosing outputs. Start with a test on the first 10 rows."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each domain and writes the company data into new columns. Filter the rows with empty output columns to find the domains Apollo could not match. Fix those domains and run the rows again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data extraction from website","description":"Visit a website, search for the About Page, and extract information about the company (summary, industry, number of employees) and its found social links.","imageAlt":"Company Data extraction from website"},{"title":"Company enrichment from company name","description":"Find and enrich a company using its name. Prioritizes fast exits when no reliable online presence exists.","imageAlt":"Company enrichment from company name"},{"title":"Get Company Sector","description":"Figure out the company's sector using the LLM knowledge, a company database, or by checking the website.","imageAlt":"Get Company Sector"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io Company Enrichment with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company Enrichment"},{"title":"Identify Technologies on Websites","description":"Find the technology stack of any website.","imageAlt":"Identify Technologies on Websites"},{"title":"LinkedIn Company Page Scraper","description":"Scrape company data from LinkedIn company pages.","imageAlt":"LinkedIn Company Page Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io Company Enrichment","description":"Run Datablist's Apollo.io Company Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["Domain","Text","Company domain to enrich. Example: google.com"]]},{"title":"Outputs","rows":[["Company Name","Text","The company name."],["Website URL","Url","The company website url."],["LinkedIn URL","Url","The company LinkedIn url."],["LinkedIn UID","Text","The company LinkedIn identifier. Ex: 69842428."],["Apollo Company Link","Text","Direct link to the company on Apollo.io. Ex: https://app.apollo.io/#/accounts/6758625db51a1202d1948b97"],["Twitter URL","Url","The company Twitter url."],["Facebook URL","Url","The company Facebook url."],["Crunchbase URL","Url","The company Crunchbase url."],["AngelList URL","Url","The company AngelList url."],["Company Phone","Text","The company Phone Number"],["Company Industry","Text","The company industry."],["Company Description","LongText","The company description."],["Founded Year","Number","The year the company was founded."],["Estimated Number of Employees","Number","The estimated number of employees."],["Company Full Address","Text","The full company postal address"],["Street Address","Text","The street address component from the full address"],["City","Text","The city component from the full address"],["State","Text","The state component from the full address"],["Postal Code","Text","The Postal Code component from the full address"],["Country","Text","The company country."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]}},"corner":{"title":"Try it for Free","body":"Enrich company domains with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io Company Enrichment"},"EnrichmentAskClaudeAI":{"metadata":{"title":"Ask Anthropic/Claude AI - Run Claude on Every CSV or Excel Row | Datablist","description":"Run a Claude prompt on every row of a CSV or Excel file. 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Output: Result.","groups":["Your data","Added by Ask Anthropic/Claude AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies as B2B or B2C","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company as B2B or B2C. Return only B2B or B2C:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask Anthropic/Claude AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Anthropic usage","Anthropic bills your own account for API usage, based on the Claude model you choose and how much text each row uses."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"You need an active Anthropic account with billing enabled. The enrichment will not run with a key from an account that has no credits."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your Anthropic API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt so Claude knows its role and answers in a consistent format."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask Anthropic/Claude AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Mistral AI","description":"Run Mistral AI on every row.","imageAlt":"Ask Mistral AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask Anthropic/Claude AI","description":"Run Datablist's Ask Anthropic/Claude AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Anthropic API Key","Text","Your Anthropic API Key. Available at console.anthropic.com/settings/keys."],["Prompt","RichText","Prompt to be used to call Anthropic. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Anthropic Model","Select","Choose the model to use. See the Claude models overview in Anthropic's docs to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written in Anthropic's models overview. Select Other in the model setting first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run Claude on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask Anthropic/Claude AI"},"EnrichmentAskMistralAI":{"metadata":{"title":"Ask Mistral AI - Run Mistral on Every CSV or Excel Row | Datablist","description":"Run a Mistral AI prompt on every row of a CSV or Excel file. Free in Datablist with your own Mistral API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Mistral AI","description":"Write one prompt and run Mistral AI on every row of your CSV or Excel file. Free in Datablist with your own Mistral API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Mistral AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Mistral API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Mistral for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Mistral: Usage is charged to your own Mistral account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. 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Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Mistral usage","Mistral bills your own account for API usage. Mistral's Free mode has usage and rate limits, so large files may need a paid setup on their side."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Mistral's Free mode does not need a credit card, but usage and rate limits apply. If your run hits those limits, lower Max Concurrent Calls or upgrade your Mistral account."},"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 Mistral 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 Mistral AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask Mistral AI","description":"Run Datablist's Ask Mistral 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":[["Mistral AI API Key","Text","Your Mistral AI API Key. Available at console.mistral.ai/api-keys."],["Prompt","RichText","Prompt to be used to call Mistral 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."],["Mistral AI Model","Select","Choose the model to use. See Mistral's models overview in its docs to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written in Mistral's models overview. Select Other in the model setting first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. 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 Mistral 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 Mistral AI"},"EnrichmentAskPerplexityAI":{"metadata":{"title":"Ask Perplexity AI - Run Perplexity on Every CSV or Excel Row | Datablist","description":"Run a Perplexity AI prompt on every row of a CSV or Excel file. Free in Datablist with your own Perplexity API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Perplexity AI","description":"Write one prompt and run Perplexity AI on every row of your CSV or Excel file. Free in Datablist with your own Perplexity API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","Answers From Live Web Data","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Perplexity AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Perplexity API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Perplexity for each row","Live Web Answers: Answers can draw on Perplexity's web search","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Perplexity: Usage is charged to your own Perplexity account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask Perplexity AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Check on the web whether companies are SaaS","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Search the web and classify this company as SaaS or Not SaaS. Return only SaaS or Not SaaS:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask Perplexity AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Perplexity usage","Perplexity bills your own account for API usage with prepaid credits. Different models use different amounts of credits per request."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Perplexity API keys are blocked when the credits run out, so keep a balance or turn on auto reload in the API portal. Perplexity's search-grounded models can be slower than plain chat models, which matters on large files."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your Perplexity API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Perplexity can search the web while it answers, so the prompt can ask about current facts."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask Perplexity AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask Perplexity AI","description":"Run Datablist's Ask Perplexity AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Perplexity AI API Key","Text","Your Perplexity AI API Key. Available at perplexity.ai/account/api."],["Prompt","RichText","Prompt to be used to call Perplexity AI. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Perplexity AI Model","Select","Choose the model to use. See Perplexity's model cards to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written in Perplexity's model cards. Select Other in the model setting first."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run Perplexity on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask Perplexity AI"},"EnrichmentAskGemini":{"metadata":{"title":"Ask Gemini - Run Google Gemini on Every CSV or Excel Row | Datablist","description":"Run a Google Gemini prompt on every row of a CSV or Excel file. Free in Datablist with your own Google AI Studio API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Gemini","description":"Write one prompt and run Google Gemini on every row of your CSV or Excel file. Free in Datablist with your own Google AI Studio API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Gemini runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Google API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Gemini for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Google: Usage is charged to your own Google account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask Gemini"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask Gemini does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Google usage","On the paid tier, Google bills your own Google AI Studio project for Gemini usage, based on the model you choose and how much text each row uses. Google’s Free Tier has model and quota limits; billing applies to paid Gemini API usage."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Every Gemini API key belongs to a Google Cloud project, which manages billing and quota. Check your project's quota before you run a large file."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your Google AI Studio API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format, for example to return just the result."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask Gemini with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask Gemini","description":"Run Datablist's Ask Gemini on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Gemini API Key","Text","Your Gemini API Key. Available at aistudio.google.com/apikey."],["Prompt","RichText","Prompt to be used to call Gemini. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Gemini Model","Select","Choose the model to use. See Google's Gemini models page to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written on Google's Gemini models page. Select Other in the model setting first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run Gemini on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask Gemini"},"EnrichmentClassificationChatGPT":{"metadata":{"title":"Classification with ChatGPT/OpenAI - Sort CSV or Excel Rows Into Your Own Labels | Datablist","description":"Classify text in a CSV or Excel file into labels you define with ChatGPT/OpenAI. Get the label and a confidence level for every row. Free in Datablist with your own OpenAI API key."},"tabs":["Overview","How to use"],"hero":{"title":"Classification with ChatGPT/OpenAI","description":"Sort every row of your CSV or Excel file into labels you define, with a confidence level for each. Free in Datablist with your own OpenAI API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","Sort Rows Into Your Own Labels","Confidence Level for Every Match"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Classification with ChatGPT/OpenAI labels the text in each row. You define the labels and choose the text column, and it returns one label from your list and a confidence level.","cards":[{"title":"What you give","items":["A Text Column: The text to classify, one value per row","Your Labels: A comma-separated list, for example Sales, Marketing, Other","Your OpenAI API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["The Selected Label: One label from your list for each row","A Confidence Level: High, Medium, Low or Very Low","A Status per Row: Success, no result, missing data or API error"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by OpenAI: Usage is charged to your own OpenAI account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Text. Output: Result and Confidence.","groups":["Your data","Added by Classification with ChatGPT/OpenAI"],"headers":["Text","Result","Confidence"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify job titles by department","description":"A setup that works on any text column. Open it to see the text column and the labels.","toggle":"Show the example setup","promptLabel":"Setup","prompt":"Text to classify: Job Title\nLabels: Sales, Marketing, Operations, Engineering, Management, Other","note":"Map the Text input to the column you want to classify and type your labels separated by commas. Datablist returns one label and a confidence level for each row."},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Classification with ChatGPT/OpenAI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["OpenAI usage","OpenAI bills your own account for API usage, based on the tokens your prompts and results use. Prices depend on the model you choose."],["Running in the app","No paid Datablist plan needed. Add your API key, define your labels and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Your OpenAI account must have API billing or credits, because a free OpenAI account without API credits will not work. Datablist caches identical requests for 48 hours, so repeated values in your file cost fewer tokens."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Define your labels, point it at a text column and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and labels","body":"Paste your OpenAI API key and type the labels you want, separated by commas. Add a label such as Other for rows that fit none, so nothing is forced into the wrong category."},{"label":"Step 2","title":"Map the text and test","body":"Map the Text input to the column you want to classify, for example job titles, company descriptions or reviews. Run it on the first 10 rows and check the labels before the full run."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends each value to OpenAI and writes the label, a confidence level and a status into new columns. Filter the low-confidence rows to review them or rerun them."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Categorize job title","description":"Classify a job title under broader categories like Marketing, Finance, Engineering, Sales, etc.","imageAlt":"Categorize job title"},{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Decision maker flag from job title","description":"Determine if a person is likely a decision maker based on their job title.","imageAlt":"Decision maker flag from job title"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Classification with ChatGPT/OpenAI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run any ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Language Detection","description":"Detect the language of any text.","imageAlt":"Language Detection"},{"title":"Entity Name Extraction","description":"Extract names from free text.","imageAlt":"Entity Name Extraction"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, labels, confidence and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Classification with ChatGPT/OpenAI","description":"Run Datablist's Classification with ChatGPT/OpenAI on your own list in 9 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["OpenAI API Key","Text","Your OpenAI API Key. Available in your OpenAI Account under API Keys."],["Labels","LongText","Labels you want your text classified into. Separate labels with commas."],["Disable Cache","Boolean","Datablist caches identical classification requests for 48 hours by default. On a paid Datablist plan, enable this to skip stored results and request fresh classifications."],["Max Concurrent Calls","Number","Maximum number of parallel calls. Default is 10. Reduce if you hit rate limit errors."],["GPT Model","Select","(Optional) Select the GPT model. Default to GPT 4o mini."],["Model id","Text","Write the GPT model id, for example gpt-4o. Select Other in GPT Model first."],["Use Flex Mode","Boolean","Enable Flex mode for supported models. Flex mode provides cost-efficient processing with longer response times."],["Flex Timeout (seconds)","Number","Maximum time to wait for a Flex response. Default is 360 seconds (6 minutes); maximum is 1,500 seconds (25 minutes). Available when Use Flex Mode is enabled."]]},{"title":"Inputs","rows":[["Text","Text","Text to classify."]]},{"title":"Outputs","rows":[["Result","Text","The returned label, when available."],["Confidence","Text","Confidence level returned by the model: High, Medium, Low, or Very Low."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]}},"corner":{"title":"Try it for Free","body":"Sort every row of a CSV or Excel file into your own labels with your own OpenAI key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Classification with ChatGPT/OpenAI"},"EnrichmentAIResearchAgent":{"metadata":{"title":"AI Research Agent - Run Web Research on Every Row in Bulk | Datablist","description":"Give the agent a goal and the fields you want back. It searches Google, opens websites, reads them, and fills in your columns for every row in your list."},"tabs":["Overview","How to use"],"hero":{"title":"AI Research Agent","description":"Give the agent a goal and the fields you want back. It searches Google, reads the pages it finds, and fills in every row.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["Ready-Made Templates","GDPR Compliant","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The AI Research Agent handles the work a database cannot: reading the live web. It searches Google, opens the pages it finds, understands what is on them, and returns the exact fields you asked for.","cards":[{"title":"What you give","items":["A Prompt: Plain English. Type / to pull in a column","Your Expected Outputs: Name each field you want back","Or a Ready-Made Template: Business Owner Finder and others, no prompt to write"],"links":["See full input reference"]},{"title":"What you get","items":["Your Own Output Fields: Whatever you defined, structured into columns","Confidence Score: Optional model assessment from 0 to 100; spot-check results against sources","Run Status: Says why a row came back empty"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Usage-Based Credits: Roughly 3 to 25 credits per row at default settings","Charged per Run, Not per Result: The agent does the work even when it finds nothing","Max Iterations Limits Research: Default 7 iterations per row; more iterations can cost more"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name and Website. Output: Pricing Model, Free Plan and Confidence Score.","groups":["Your data","Added by AI Research Agent"],"headers":["Company Name","Website","Pricing Model","Free Plan","Confidence Score"],"caption":"Pricing Model and Free Plan are example fields. You define your own output fields in the prompt.","scrollHint":"","footer":"Pricing Model and Free Plan are example fields. You define your own output fields in the prompt."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"The agent bills for the work it does, so this sizes your plan against the top of the range rather than the average.","unitsLabel":"Rows to research","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work, and why this is a range","creditsBody":"Unlike a fixed-price enrichment, the agent bills for what it actually does on each row: every Google search, every page it opens, every block of text it reads. A row it resolves from the first search result is cheap. A row that takes it through five pages is not. On a typical task at default settings that works out to somewhere between 3 and 25 credits per row, and credits are spent even on rows where it finds nothing. Max iterations limits research depth: raising it lets the agent dig deeper and raises the top of the estimated range with it. It is not a fixed credit cap. Treat the number as sizing guidance, not a quote. The range models the default model and one rendered scrape per row when Render HTML is enabled; more page visits or a different model can change the cost. Run a hundred rows first and read your real per-row cost off that. Plan credits renew monthly and reset if unused. Top-up credits never expire.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"settingsLabel":"Agent settings","iterationsLabel":"Max iterations per row","iterationOptions":["3 steps (tight, for simple lookups)","7 steps (default)","10 steps","15 steps"],"renderLabel":"Render HTML before scraping (+2 credits per scrape; estimates one scrape per row)","agentHint":"= {low} to {high} credits, at roughly {lowRate} to {highRate} credits per row"},"process":{"eyebrow":"The Process","title":"How it Works","description":"The agent runs your instruction once per row, on the live web, and writes structured results back into your columns.","steps":[{"label":"Step 1","title":"Tell it what you want","body":"Write the goal in plain English and pull your columns in by typing / and picking the property, for example: visit /Website and find the name and title of the owner. Or pick a ready-made template and skip the prompt entirely."},{"label":"Step 2","title":"It searches, opens, and reads","body":"For each row the agent runs Google searches, follows the links it finds, and reads the pages. Because it works from meaning rather than fixed selectors, it keeps working when a site's layout changes."},{"label":"Step 3","title":"Structured fields, not a blob of text","body":"You name the outputs up front, so results come back as real columns you can filter and sort. You can also add a confidence score from 0 to 100, and review run status when something went wrong."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made agent templates. No prompt writing required.","cards":[{"title":"Trustpilot Reviews","description":"Pull reviews and ratings for any company.","imageAlt":""},{"title":"YC Startup Directory","description":"Scrape companies and founders from Y Combinator.","imageAlt":""},{"title":"Product Hunt Scraper","description":"Extract launches, makers and taglines.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Find Small Business Owners (That Aren't in Any Database)","imageAlt":"How To Find Small Business Owners (That Aren't in Any Database)"},{"title":"How To Find Phone Numbers: Verified and AI Agent","imageAlt":"How To Find Phone Numbers: Verified and AI Agent"},{"title":"AI Web Scraping: Value vs. Hype","imageAlt":"AI Web Scraping: Value vs. Hype"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the AI Research Agent with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Turn the names the agent found into verified email addresses.","imageAlt":""},{"title":"Company Domain Finder","description":"Resolve company names to domains before you point the agent at them.","imageAlt":""},{"title":"Ask ChatGPT","description":"Classify or summarise data already in your collection, on your own key.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about usage-based credits, prompting, and what the agent can reach."},"guide":{"hero":{"title":"How to use Datablist's AI Research Agent","description":"Run Datablist's AI Research Agent on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Prompt","RichText","What the agent should do. Type / and select a property to pull a column into the prompt"],["Expected Outputs","MultipleValues","Define each field you want back. They must match what the prompt asks for"],["Advanced Settings","Checkbox","Reveals the model and max iterations controls"],["LLM Model","Select","Which model to run, from OpenAI, Google, and others. Defaults to GPT 4o-mini"],["Max iterations","Number","How many steps the agent may take per row, where a step is a search or a page visit. Defaults to 7, maximum 20. More steps costs more"],["Website Scraper Option: Render HTML","Checkbox","Render the page in a headless browser first, for JavaScript-rendered sites. Costs 2 credits per scrape. Off by default"]]},{"title":"Inputs","rows":[["Prompt variables","Varies","The row properties you select inside Prompt with /. The action has no separate standalone input fields"]]},{"title":"Outputs","rows":[["Your Expected Outputs","Varies","Every field you defined in the settings, written into its own column"],["Confidence Score","Number","How sure the agent is about the row, from 0 to 100. Higher is better"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Small Business Owners","imageAlt":"How To Find Small Business Owners"},{"title":"Company Name To Domain: 3 Bulk Methods","imageAlt":"Company Name To Domain: 3 Bulk Methods"},{"title":"How To Scrape Any Website Without Code","imageAlt":"How To Scrape Any Website Without Code"}]}},"corner":{"title":"Try it for Free","body":"Put a research assistant on every row of your list. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"AI Research Agent"},"EnrichmentCompanyDomainLinkedInMatcher":{"metadata":{"title":"LinkedIn Company URL/Website Lookup | Datablist","description":"Find a company's LinkedIn page from its website or domain, or find its website from a LinkedIn company page URL. 1.5 credits per successful lookup."},"tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or its website from a LinkedIn page URL, regular or Sales Navigator.","primary":"Match 333 companies free","guide":"Check Full Guide","note":"No credit card needed","trust":["1.5 Credits per Successful Lookup","Works in Both Directions","Match 333 Companies Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The matcher connects company websites and LinkedIn company pages in both directions. Datablist checks company datasets first and can use Google Search and LinkedIn page lookups to find or validate a match.","cards":[{"title":"What you give","items":["Company URL or Company LinkedIn Url: One column per run","Matching Type: Website to LinkedIn page, or the reverse","Any URL format: Domains, full URLs, regional and Sales Navigator links"],"links":["See full input reference"]},{"title":"What you get","items":["Company Name: As written on LinkedIn, when found","Company Website and LinkedIn Url: Clean, standardized URLs","Confidence and Status: high or low, plus success or not_found"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["1.5 Credits per Successful Lookup: Nothing charged for a miss","10 Credits for Sales Navigator: Sales Navigator URL to website lookups","About $0.0015 per Lookup: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company URL or Company LinkedIn Url. Output: Company Name, Company Website, Company LinkedIn Url, Confidence and Status.","groups":["Your data","Added by LinkedIn Company URL/Website Lookup"],"headers":["Company URL or Company LinkedIn Url","Company Name","Company Website","Company LinkedIn Url","Confidence","Status"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many companies you need to match and we'll show you the cheapest way to match them.","unitsLabel":"Companies to match","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which lookup do you need?","modes":["Standard lookup (1.5 credits per successful lookup)","Sales Navigator URL to website (10 credits per lookup)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. A standard lookup costs 1.5 credits and is only charged when the match succeeds. A Sales Navigator URL to website lookup costs 10 credits. The estimate assumes every company you enter is matched, so a list with misses costs less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"matcherHint":"= {credits} credits at {rate} credits per {mode, select, salesnav {lookup} other {successful lookup}}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Match websites and LinkedIn pages in either direction with one lookup.","steps":[{"label":"Step 1","title":"Upload your company list","body":"Import a CSV or Excel file with one company per row. The column can hold websites and domains, or LinkedIn company page URLs, including Sales Navigator links."},{"label":"Step 2","title":"Pick the matching direction","body":"Set Matching Type to get the LinkedIn company page from a website, or the website from a LinkedIn company page. Datablist checks company datasets first and can use Google Search and LinkedIn page lookups to find or validate a match."},{"label":"Step 3","title":"Get clean URLs and a confidence score","body":"Add the outputs you need: company name, website, standard LinkedIn URL, confidence and status. You pay 1.5 credits for each successful lookup and nothing for a miss."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"Company Name to Website","description":"Find the website that matches a company name.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"3Min Guide: Get Website URLs From LinkedIn Company Pages","imageAlt":"3Min Guide: Get Website URLs From LinkedIn Company Pages"},{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the matcher with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public information from LinkedIn company pages.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about matching directions, billing and URL formats."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Company URL/Website Lookup","description":"Run Datablist's LinkedIn Company URL/Website Lookup on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Matching Type","Text","Specify the type of conversion you need."]]},{"title":"Inputs","rows":[["Company URL or Company LinkedIn Url","-","Map a company website to get the Company LinkedIn Url, Or a Company LinkedIn Url to get the company website."]]},{"title":"Outputs","rows":[["Company Name","Text","The company name, when found."],["Company Website","Url","The company website (ex: https://www.google.com), when found."],["Company LinkedIn Url","Url","The clean company Linkedin Page (ex: https://www.linkedin.com/company/datablist/)."],["Confidence","Text","Confidence score: high (website validated) or low (not validated)"],["Status","Text","One of: success, not_found, empty_data, bad_data"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"3Min Guide: Get Website URLs From LinkedIn Company Pages","imageAlt":"3Min Guide: Get Website URLs From LinkedIn Company Pages"},{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"}]}},"corner":{"title":"Try it for Free","body":"Match company websites and LinkedIn pages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"LinkedIn Company URL/Website Lookup"},"FAQ":{"TITLE":"뛰어난 분들이 자주 묻는 질문","WHAT_IS_TITLE":"Datablist란 무엇인가요?","WHAT_IS_TEXT":"Datablist는 AI 기반 스프레드시트로, 중복 제거, 정제, 가공, enrichment, workflow 자동화 등 어떤 작업이든 데이터를 가장 쉽게 다룰 수 있게 해줍니다.","TECHNICAL_TITLE":"Datablist는 기술 사용자에게 적합한가요?","TECHNICAL_TEXT":"Datablist는 데이터와 상호작용이 필요한 모든 분을 위한 제품입니다. 초보자부터 파워 유저까지, 스프레드시트 인터페이스와 학습 자료를 통해 바로 생산적으로 활용하실 수 있습니다.","INDUSTRIES_TITLE":"어떤 산업과 팀이 Datablist를 사용하나요?","INDUSTRIES_TEXT":"대부분의 고객은 영업, 이커머스 운영, SaaS 성장, 재무 분야에 있지만, 우리는 특정 산업이나 팀으로 한정하지 않습니다. 모든 산업과 팀을 지원합니다.","INTEGRATIONS_TITLE":"Datablist와 어떤 도구를 연동할 수 있나요?","INTEGRATIONS_TEXT":"Datablist는 다양한 CRM과 연동되며, scraper와 email finder 등 여러 구독 도구를 대체할 수 있습니다. 또한 다른 플랫폼에는 없는 AI Research Agent와 Deduplication Assistant 같은 도구도 제공합니다."},"FeatAIAgent":{"PAGE_TITLE":"AI Agent: 웹 리서치와 데이터 추출 자동화","PAGE_DESC":"Datablist의 AI Agent로 어떤 웹사이트든 스크레이핑하고, Google 검색을 자동화하며, 간단한 prompt로 구조화된 데이터를 추출하세요. 코드 작성은 필요 없습니다.","HERO_TITLE":"자동화된 AI 리서치 어시스턴트","DESCRIPTION":"수동 리서치에 시간을 낭비하지 마세요. 목표를 간단한 영어 prompt로 설명하면, 당사의 AI Agent가 Google을 검색하고 웹사이트를 탐색하여 필요한 정확한 데이터를 모두 자동으로 추출합니다.","FEATURE":"기능","POWERFUL_AUTOMATION":"강력한 자동화","100%ONLINE":"100% 온라인","EASY_TO_USE":"사용이 간편함","BEYOND_SCRAPING_TITLE":"기존 web scraping을 넘어","BEYOND_SCRAPING_DESC_1":"전통적인 web scraper는 고정된 규칙에 의존하며, 웹사이트 레이아웃이 변경되는 순간 쉽게 깨집니다. 맥락을 이해하지 못하고 복잡하고 동적인 사이트를 제대로 처리하지 못합니다.","BEYOND_SCRAPING_DESC_2":"당사의 AI Agent는 다릅니다. 고도화된 대규모 언어 모델에 의해 구동되어, 단순한 HTML 구조가 아니라 콘텐츠의 의미를 이해합니다. 사람처럼 웹사이트를 탐색하여 더욱 견고하고 다재다능하며 미묘한 정보까지 추출할 수 있습니다.","BEYOND_SCRAPING_DESC_3":"목표만 제시하면, 링크를 따라가고 결과를 페이지네이션하며 비정형 텍스트를 분석하는 것까지 목표 달성을 위한 단계를 스스로 계획하고 실행합니다.","HOW_IT_WORKS_TITLE":"AI Agent 작동 방식","HOW_IT_WORKS_DESC":"AI Agent는 단순하지만 강력한 프로세스로 귀하의 요청을 구조화된 데이터로 전환합니다.","STEP_1_TITLE":"1. 목표를 설정합니다","STEP_1_DESC":"시작 URL과 어떤 데이터를 추출하고 어떤 형식으로 정리할지에 대한 명확한 prompt를 제공하세요.","STEP_2_TITLE":"2. 에이전트가 탐색하고 이해합니다","STEP_2_DESC":"에이전트가 웹사이트를 방문해 JavaScript를 렌더링하고, 콘텐츠를 분석하여 맥락을 파악하고 관련 정보를 찾아냅니다.","STEP_3_TITLE":"3. 복잡한 페이지도 처리합니다","STEP_3_DESC":"여러 페이지에 걸친 목록을 스크레이핑해야 하나요? 페이지네이션만 활성화하세요. 에이전트가 '다음'을 지능적으로 찾아 클릭하여 모든 페이지에서 데이터를 수집합니다.","STEP_4_TITLE":"4. 데이터를 추출하고 구조화합니다","STEP_4_DESC":"귀하의 prompt에 따라 에이전트가 지정된 데이터 포인트를 추출하고, 미리 구성한 컬럼으로 깔끔하게 전달합니다.","USE_CASES_TITLE":"Lead Gen부터 시장 인텔리전스까지: 무한한 가능성","USE_CASE_LEAD_GEN_TITLE":"Lead Generation을 강화하세요","USE_CASE_LEAD_GEN_DESC":"대규모로 높은 관련성의 개인화 포인트를 찾으세요. 기업 케이스 스터디를 스크레이핑하고, 'About Us' 페이지에서 핵심 인력을 식별하거나, 독일 사이트의 'Impressum' 페이지에서 연락처 정보를 추출할 수 있습니다.","USE_CASE_LEAD_GEN_LINK":"케이스 스터디 스크레이핑 방법 보기","USE_CASE_ECOMMERCE_TITLE":"E-commerce 및 상품 스크레이핑","USE_CASE_ECOMMERCE_DESC":"어떤 e-commerce 스토어에서도 제품명, 가격, 사양, 설명을 추출하세요. 여러 카테고리 페이지에 걸쳐 있어도 문제 없습니다.","USE_CASE_ECOMMERCE_LINK":"e-commerce 사이트 스크레이핑 방법 알아보기","USE_CASE_REVIEWS_TITLE":"리뷰 및 감성 분석","USE_CASE_REVIEWS_DESC":"Trustpilot, Trusted Shops 같은 리뷰 플랫폼을 스크레이핑해 고객 피드백을 집계하세요. 감성 분석을 수행하고 공통 주제를 파악하여 시장을 이해합니다.","USE_CASE_REVIEWS_LINK":"Trustpilot 스크레이핑 가이드","USE_CASE_RESEARCH_TITLE":"자동화된 시장 조사","USE_CASE_RESEARCH_DESC":"스프레드시트의 각 행에 대해 반복되는 Google 검색을 자동화하세요. 경쟁사 뉴스를 모니터링하고 업계 트렌드를 추적하거나, 수작업 없이 보고서 작성을 위한 데이터를 수집할 수 있습니다.","USE_CASE_RESEARCH_LINK":"Google 검색 자동화 방법 알아보기","VIDEO_TITLE":"AI Agent 작동 모습 보기","VIDEO_TEXT":"AI Agent가 독일 웹사이트 목록을 방문해 'Impressum' 페이지를 찾고, 구조화된 연락처 정보를 추출하는 과정을 확인하세요. 이는 기존 스크레이퍼로는 불가능한 작업입니다.","TALK_TO_US_TEXT":"웹 리서치를 오토파일럿으로 전환할 준비가 되셨나요? AI Agent를 사용해 비정형 웹 데이터를 실행 가능한 인사이트로 전환해 보세요.","CSV_EDITOR_DESCRIPTION":"온라인에서 CSV 파일을 관리하는 현대적인 CSV 에디터. 브라우저에서 직접 데이터를 열고 편집하세요.","LEAD_LIST_BUILDING":"lead 리스트를 구축하고 정제 및 보강하세요","LEAD_BUILDING_DESCRIPTION":"대용량 lead 리스트를 깊이 있게 파고드는 최고의 도구입니다. 정리하고 보강하여 최적의 잠재고객을 찾아보세요."},"FeatAIEditing":{"PAGE_TITLE":"AI Editing: prompt로 Excel & CSV 작업 자동화","PAGE_DESC":"복잡한 수식과 매크로를 대체하세요. Datablist의 AI Editing 기능으로 간단한 prompt만으로 대량 데이터 정리, 변환, 분석을 수행하세요.","HERO_TITLE":"AI로 스프레드시트 작업을 자동화하세요","DESCRIPTION":"복잡한 수식과 씨름하지 마세요. 필요한 것을 간단한 영어로 설명하면, AI가 몇 초 만에 데이터 정리, 변환, 분석을 위한 완벽한 스크립트를 생성합니다.","FEATURE":"기능","UNLIMITED":"무제한 사용","100%ONLINE":"100% 온라인","NO_CODE":"노코드","REPLACE_FORMULAS_TITLE":"간단한 prompt로 수식을 대체하세요","REPLACE_FORMULAS_DESC_1":"VLOOKUP 구문을 찾아보거나 복잡한 Excel 수식을 디버깅하는 데 지치셨나요? AI Editing으로 수식 스트레스와 작별하세요.","REPLACE_FORMULAS_DESC_2":"하려는 작업을 그대로 적으세요. 그러면 AI가 즉시 작업을 처리할 맞춤 스크립트를 생성합니다. 데이터 전문가가 곁에서 모든 조작을 자동화해 주는 것과 같습니다.","REPLACE_FORMULAS_DESC_3":"회사명을 정리하고, 주소를 표준화하고, leads를 점수화하는 작업까지, AI Editing이 귀하의 지시를 실행으로 전환합니다.","HOW_IT_WORKS_TITLE":"작동 방식: prompt에서 완벽한 데이터까지 4단계","STEP_1_TITLE":"1. 데이터 가져오기","STEP_1_DESC":"CSV 또는 Excel 파일을 Datablist에 업로드하세요. 당사 플랫폼은 대용량 데이터세트를 손쉽게 처리하므로 전체 리스트를 한 번에 작업할 수 있습니다.","STEP_2_TITLE":"2. AI Editing 열기","STEP_2_DESC":"'Edit' 메뉴로 이동해 'AI Editing'을 선택하세요. 그러면 모든 마법이 일어나는 prompt 인터페이스가 열립니다.","STEP_3_TITLE":"3. prompt 작성","STEP_3_DESC":"수행하려는 작업을 설명하세요. /ColumnName을 입력해 변수를 사용하고 데이터 컬럼을 참조할 수 있습니다. 필요할 만큼 구체적으로 작성하세요!","STEP_4_TITLE":"4. 미리보기 후 실행","STEP_4_DESC":"AI가 스크립트를 생성하고 변경 사항의 라이브 미리보기를 보여줍니다. 이상 없으면 'Run'을 클릭해 전체 리스트를 즉시 처리하세요.","USE_CASES_TITLE":"강력한 활용 사례를 확인하세요","USE_CASE_FIND_REPLACE_TITLE":"대량 찾기 및 바꾸기","USE_CASE_FIND_REPLACE_DESC":"하나의 지시로 데이터셋 전체에서 수백 개의 용어를 바꿉니다. 카테고리 표준화, 흔한 오타 수정, 제품 정보 업데이트에 최적입니다.","USE_CASE_FIND_REPLACE_LINK":"대량 찾기 & 바꾸기 자세히 보기","USE_CASE_CLEANING_TITLE":"고급 데이터 클렌징","USE_CASE_CLEANING_DESC":"회사명과 같은 복잡한 데이터를 법적 접미사(LLC, Inc.) 제거, 직함·주소 표준화 등으로 정리·정규화합니다.","USE_CASE_CLEANING_LINK":"회사명 클렌징 방법 보기","USE_CASE_SCORING_TITLE":"맞춤형 Lead & Data Scoring","USE_CASE_SCORING_DESC":"데이터의 여러 기준에 기반한 정교한 스코어링 모델을 구축하세요. 점수를 부여하고, leads를 순위화하며, 단 하나의 수식 없이 리스트를 우선순위화할 수 있습니다.","USE_CASE_SCORING_LINK":"AI로 leads를 스코어링하는 방법 배우기","USE_CASE_TRANSFORM_TITLE":"복잡한 데이터 변환","USE_CASE_TRANSFORM_DESC":"텍스트의 특정 부분 추출부터 조건부 로직 수행까지, 표준 스프레드시트 함수로는 거의 불가능한 변환을 AI Editing이 처리합니다.","USE_CASE_TRANSFORM_LINK":"데이터 클렌징 예시 더 보기","VIDEO_TITLE":"AI Editing 시연 보기","LEAD_BUILDING_DESCRIPTION":"대용량 lead 리스트를 깊이 탐색하는 데 최적의 도구. 정리하고, enrichment를 수행하고, 이상적인 잠재고객을 찾아보세요.","VIDEO_TEXT":"간단한 prompt로 카탈로그 단위를 업데이트하는 방법을 확인하세요. 수식도 번거로움도 없습니다.","TALK_TO_US_TEXT":"스프레드시트 수작업으로 시간을 낭비하는 일을 이제 그만하시겠습니까? 지금 AI Editing을 사용해 보고, 데이터 workflow를 오늘 바로 혁신하세요!","CSV_EDITOR_DESCRIPTION":"온라인에서 CSV 파일을 관리할 수 있는 현대적인 CSV 에디터. 브라우저에서 직접 데이터를 열고 편집하세요","LEAD_LIST_BUILDING":"lead 리스트를 구축하고 클렌징하며 enrichment를 수행하세요","SEE_ALSO":"관련 항목 보기"},"FeatCombine":{"PAGE_TITLE":"CSV 파일을 무료로 통합 및 병합","PAGE_DESC":"공통 식별자 컬럼을 기준으로 CSV 데이터 리스트를 결합하세요.","FEATURE":"기능","NOSIGNUP":"회원가입 없이 사용 가능","100%ONLINE":"100% 온라인","EASY_TO_USE":"쉽게 사용 가능","HERO_TITLE":"CSV 파일을 무료로 통합 및 병합","HERO_DESC":"공통 식별자 컬럼을 기준으로 CSV 데이터 리스트를 결합하세요.","DATA_RECONCILIATION_DEF":"데이터 정합(Data Reconciliation)이란?","DATA_RECONCILIATION_DEF_DESC_1":"데이터 정합은 서로 다른 소스의 데이터를 비교하고 정렬(일치)시키는 과정입니다. 관련 정보가 여러 데이터 소스에 분산되어 있을 때 주로 수행됩니다.","DATA_RECONCILIATION_DEF_DESC_2":"이러한 소스에는 데이터베이스, 스프레드시트, 소프트웨어 시스템, 심지어 수기 기록까지 포함될 수 있습니다. 목표는 데이터를 정합화하여 단일하고 신뢰할 수 있으며 일관된 데이터셋을 만드는 것입니다.","DATA_RECONCILIATION_DEF_DESC_3":"데이터 정합은 흩어진 데이터를 연결해 의사결정에 유용한 인사이트를 제공합니다. 회계, 재고 관리, 마케팅 등에서 일반적으로 활용됩니다.","JOIN_TITLE":"CSV 파일을 하나의 컬렉션으로 결합","JOIN_DESC_1":"Google Sheets나 Microsoft Excel은 회계 작업에 좋은 도구지만 데이터 관리 기능은 부족합니다. 데이터 사이언티스트를 위한 ETL(Extract, Transform, Load; 추출·변환·적재) 같은 전문 도구도 있지만, 비기술 사용자에게는 접근성이 떨어집니다.","JOIN_DESC_2":"Datablist에서는 CSV 파일을 통합하는 데 사용할 속성만 지정하면 나머지는 도구가 처리합니다.","SEE_TUTO":"튜토리얼 보기","TALK_TO_US_TEXT":"Datablist를 사용해 리스트 통합이 얼마나 쉬운지 확인해 보세요. 18,000+ 사용자가 이미 경험하고 있습니다!","MERGE_TITLE":"여러 소스의 데이터를 병합","MERGE_DESC_1":"디지털 환경에서 리스트 관리는 매우 빈번한 작업입니다. 다음과 같은 경우:","MERGE_EX_1":"고객에 대한 단일 뷰 구축","MERGE_EX_2":"여러 소스에서 잠재고객 리스트 생성","MERGE_EX_3":"메일링 리스트를 연락처 정보로 보강","MERGE_DESC_2":"데이터를 병합하고 관리하려면 Datablist 같은 도구가 필요합니다.","WHEN_COMBINE_DATA":"데이터 파일을 언제 결합해야 하나요?","WHEN_COMBINE_TITLE_1":"고객 파일 통합","WHEN_COMBINE_DESC_1":"고객 파일을 통합해 단일 고객 뷰를 만드는 것은 매우 중요합니다. 기업이 영업, 마케팅, 고객 지원, 온라인 플랫폼 등 다양한 접점에서 고객과 상호작용하면, 가치 있는 데이터가 여러 시스템과 데이터베이스에 흩어집니다. 고객의 email 주소나 다른 고유 식별자를 기준으로 데이터를 결합하세요. 그러면 마케팅, 영업, 고객 서비스 등 모든 팀이 통합되고 포괄적인 뷰에 접근할 수 있습니다.","WHEN_COMBINE_TITLE_2":"제품 카탈로그로 주문 데이터 보강","WHEN_COMBINE_DESC_2":"이커머스에서는 보통 두 가지 주요 리스트를 관리합니다: 제품 리스트와 주문 리스트. 주문 리스트에는 구매된 제품에 대한 참조가 있습니다. 제품 특성 정보를 주문 리스트와 통합하면 판매에서 주요 인사이트(예: 많이 판매되는 카테고리)를 얻을 수 있습니다. 웹사이트 트래픽 통계 등 외부 데이터도 함께 통합할 수 있습니다.","WHEN_COMBINE_TITLE_3":"기업 데이터를 집계해 잠재고객 리스트 구축","WHEN_COMBINE_DESC_3":"잠재고객 리스트를 구축할 때 기업에 대한 데이터가 많을수록 더 정교한 세분화가 가능합니다. 데이터 통합은 외부 데이터 소스로 <doc>잠재고객 리스트를 보강</doc>하는 데 유용합니다. 예를 들어 직원 수, 최신 투자 라운드, 매출, 웹 트래픽 추정치 등입니다. 잠재고객에 대한 정확하고 최신 정보를 확보하면 lead scoring을 개선하고 비적격 잠재고객에 들이는 시간을 줄일 수 있습니다.","WHEN_COMBINE_LINK_3":"잠재고객 리스트 구축 더 알아보기","WHEN_COMBINE_TITLE_4":"마케팅 데이터로 leads 보강","WHEN_COMBINE_DESC_4":"웹사이트 애널리틱스, 소셜 미디어 지표, 고객 상호작용 등 다양한 소스의 데이터를 통합하면 오디언스에 대한 총체적 뷰를 얻을 수 있습니다. 데이터 통합의 대표적 활용은 email 캠페인 결과를 leads 리스트에 반영하는 것입니다. email을 열거나 클릭한 leads를 식별해 LinkedIn 등 다른 소셜 채널로 타깃팅하세요. 통합된 데이터로 leads를 보강하면 전환율이 향상되고 관심 없는 leads에 시간과 비용을 낭비하지 않게 됩니다."},"FeatDuplicates":{"PAGE_TITLE":"무료 중복 제거 도구","PAGE_DESC":"여러 컬럼 중 하나를 기준으로 리스트의 중복을 제거하세요. No-Code 구성으로 비기술 사용자도 쉽게 사용할 수 있습니다.","SEE_ALSO":"함께 보기","LEARN_MORE":"자세히 알아보기","GET_STARTED":"지금 시작하기!","FEATURE":"기능","NOSIGNUP":"회원가입 없이 사용 가능","100%ONLINE":"100% 온라인","EASY_TO_USE":"사용이 간편함","NO_TECHNICAL_REQUIRED":"기술 지식 불필요","NOCODE_CONF":"No-Code 구성","EXPORT_CSV_TITLE":"CSV 또는 Excel 파일로 내보내기","EXPORT_CSV_DESC_1":"데이터를 다른 애플리케이션이나 스프레드시트로 옮겨야 하나요?","EXPORT_CSV_DESC_2":"<0>데이터의 소유권은 항상 사용자에게 있습니다</0>. 선택한 항목만 또는 전체 컬렉션을 CSV 또는 Microsoft Excel 파일로 내보내세요.","EXPORT_CSV_DESC_3":"생성된 CSV 파일은 Google Sheets 및 대부분의 일반 애플리케이션과 호환됩니다.","OK_GO":"좋습니다, 시작하겠습니다!","RESOURCES":"리소스","AI_TITLE":"AI 기반 중복 처리","AI_TEXT":"간단한 prompt로 새 데이터를 생성하고 기존 정보를 편집하며, 처음부터 시스템을 구축하세요.","CSV_EDITOR_DESCRIPTION":"온라인에서 CSV 파일을 관리할 수 있는 최신 CSV 편집기. 브라우저에서 바로 데이터를 열고 편집하세요.","LEAD_BUILDING_DESCRIPTION":"대용량 lead 리스트를 심층 분석하기 위한 최적의 도구. 정리하고, Enrich하고, 최적의 잠재고객을 찾아보세요.","COMBINE_DESCRIPTION":"여러 소스의 목록 파일을 하나의 컬렉션으로 결합하세요. 비기술 사용자도 쉽게 사용할 수 있습니다.","TALK_TO_US_TEXT":"Datablist를 사용해 보시고 데이터 매칭과 레코드 중복 제거가 얼마나 쉬운지 확인하세요. 이미 18,000명 이상의 사용자가 경험하고 있습니다!","HERO_TITLE":"무료 중복 제거 도구","DESCRIPTION":"드디어 Excel을 대체할 쉬운 중복 제거 도구. CSV 또는 Excel 파일에서 중복 값을 찾고, 병합하거나 제거하세요.","DEDUPLICATION_DEF_TITLE":"데이터 중복 제거란 무엇인가요?","DEDUPLICATION_DEF_DESC_1":"데이터 중복 제거, 또는 <doc>deduping</doc>은 데이터셋에서 중복 레코드를 제거하는 과정입니다.","DEDUPLICATION_DEF_DESC_2":"고유한 엔트리 목록을 만들려면 deduping이 필요합니다. 메일링 리스트를 사용하는 마케팅, lead generation, 고객 관리에서, 또는 전자상거래의 상품 카탈로그 관리에서요. 두 엔트리가 동일한 개체를 참조할 때 중복입니다. 같은 email 주소를 가진 두 leads, 또는 동일한 바코드를 가진 두 상품 등입니다.","DEDUPLICATION_DEF_DESC_3":"중복은 데이터 품질을 떨어뜨리고 생산성을 저하시킵니다. 중복을 없애는 방법은 두 가지입니다: 삭제하거나, 유사한 엔트리를 하나로 병합하는 것입니다.","DEDUPLICATION_DEF_DESC_4":"중복 삭제는 간단합니다. 중복 제거 알고리즘이 중복 엔트리를 찾아 하나를 남기고 나머지를 삭제합니다. 중복 병합은 중복 엔트리를 분석해 하나의 마스터 레코드로 결합해야 합니다.","DUPLICATES_MODE_TITLE":"단일 또는 여러 컬렉션에서 전체 혹은 일부 항목 분석","DUPLICATES_MODE_DESC_1":"Datablist Duplicates Finder는 항목 전체 비교 또는 선택한 속성 비교로 동작합니다.","DUPLICATES_MODE_DESC_2":"Selected Properties 모드를 사용해 email 주소 기반으로 중복 연락처를 찾거나, 회사 리스트에서 웹사이트 URL을 사용해 중복을 감지하세요.","DUPLICATES_MODE_DESC_3":"Datablist Duplicates Finder는 하나 또는 여러 리스트에서 동작합니다. 여러 리스트를 대상으로 할 때는 필드 매핑을 사용해 데이터셋 간 레코드를 비교합니다.","MERGE_TITLE":"중복 삭제 또는 통합","DUPLICATES_PREVIEW_TITLE":"중복 미리보기","DUPLICATES_PREVIEW_DESC_1":"Datablist는 발견된 중복을 나열해 어떤 작업을 수행할지 사용자가 결정할 수 있게 합니다.","DUPLICATES_PREVIEW_DESC_2":"세부 정보 패널에서 중복 항목을 열어 정보를 편집하고 병합하세요. 또는 단순히 중복을 삭제할 수 있습니다.","DUPLICATES_AUTO_MERGING_TITLE":"충돌 없는 중복 항목 자동 병합","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist는 정보 손실 없이 병합 가능한 모든 중복 값을 자동으로 찾습니다.","DUPLICATES_AUTO_MERGING_BULLET_1":"모든 중복 항목의 속성 값이 동일한 경우 하나의 항목만 유지되고 나머지는 삭제됩니다.","DUPLICATES_AUTO_MERGING_BULLET_2":"중복 항목이 상호 보완적일 경우, 정보가 가장 많은 항목을 기본 항목으로 선택하고 다른 항목의 속성 값으로 비어 있는 값을 채웁니다. 이후 기본 항목을 제외한 모든 항목이 삭제됩니다.","DUPLICATES_AUTO_MERGING_BULLET_3":"중복 항목 간 속성 값이 충돌하면 해당 항목은 자동 병합을 건너뛰고 수동 병합 대상으로 표시됩니다.","MERGING_ASSISTANT_TITLE":"또는 병합 도우미로 충돌 값을 수동으로 확인","MERGING_ASSISTANT_DESC_1":"자동 병합이 불가능할 때는 Datablist 병합 도우미로 유지할 값을 선택해 항목을 통합하세요.","MERGING_ASSISTANT_DESC_2":"정보가 가장 많은 항목이 마스터 항목으로 선택되며, 보조 항목의 보완 값들을 전달받습니다.","DUPLICATES_DEDUPE_TITLE":"사용이 쉬운 중복 제거 도구","DUPLICATES_DEDUPE_DESC_0":"기존 중복 제거 도구는 기술 사용자만을 대상으로 하며, 끝없는 설정으로 사용이 어렵습니다.","DUPLICATES_DEDUPE_DESC_1":"Datablist로 데이터 조작은 쉬워집니다! 데이터 중복 제거가 드디어 모두에게 접근 가능합니다.","DUPLICATES_DEDUPE_DESC_2":"웹 브라우저에서 수십만 건의 레코드를 직접 중복 제거하세요.","DUPLICATES_AUTO_MERGE_TITLE":"가져오기 중 자동 병합","DUPLICATES_AUTO_MERGE_DESC_1":"Duplicates Finder와 더불어 컬렉션 속성에 'Unique values' 설정을 적용할 수 있습니다.","DUPLICATES_AUTO_MERGE_DESC_2":"데이터 가져오기 중, 가져온 파일의 항목이 컬렉션에 이미 있거나 파일 내에서 중복되면, 설정한 병합 모드에 따라 데이터가 병합되거나 삭제됩니다.","DATA_DEDUP_WHEN_TITLE":"데이터 중복 제거는 언제 사용하나요?","DATA_DEDUP_WHEN_MAIL_TITLE":"메일링 리스트 중복 제거","DATA_DEDUP_WHEN_MAIL_DESC_1":"시간이 지나면 웨비나 참가자, 구매자, freemium 사용자 등 여러 출처의 데이터가 메일링 리스트로 유입됩니다. 하나의 email 주소가 메일링 리스트에 여러 번 등장할 수 있습니다.","DATA_DEDUP_WHEN_MAIL_DESC_2":"중복 email 주소는 추가 비용을 유발하고 스팸성 동작으로 보일 수 있으며, 수신 거부 후에도 메일을 계속 받게 되면 사용자 불만을 초래할 수 있습니다.","DATA_DEDUP_WHEN_MAIL_LINK":"메일링 리스트 클린업 방법","DATA_DEDUP_WHEN_EXCEL_TITLE":"Microsoft Excel 중복 제거","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets, Microsoft Excel 등 스프레드시트 도구는 기본 중복 제거 기능을 제공합니다. 컬럼의 중복 값을 하이라이트하거나 삭제합니다. 복잡한 중복 레코드는 Datablist의 자동 병합과 수동 병합 도우미로 처리하세요.","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist는 CSV와 Excel 파일을 모두 열 수 있습니다.","DATA_DEDUP_WHEN_EXCEL_LINK":"Excel 파일 중복 제거 방법","DATA_DEDUP_WHEN_LEAD_TITLE":"Lead 및 잠재고객 중복 제거 도구","DATA_DEDUP_WHEN_LEAD_DESC_1":"B2B 마케팅에서 잠재고객 데이터베이스의 품질은 캠페인 성과에 직접적인 영향을 줍니다. <doc>중복 leads</doc>가 포함된 지저분한 리스트는 저장 비용을 증가시키고, lead 추적 효율을 떨어뜨리며, 영업팀에 좌절감을 줍니다.","DATA_DEDUP_WHEN_LEAD_DESC_2":"Datablist로 <doc>lead generation</doc> 프로세스를 관리하세요. 또는 CRM 데이터나 lead 리스트를 Datablist로 가져와 정리하세요.","DATA_DEDUP_WHEN_LEAD_LINK":"lead 리스트 중복 제거 방법","DATA_DEDUP_WHEN_CSV_TITLE":"CSV 파일 중복 제거","DATA_DEDUP_WHEN_CSV_DESC_1":"CSV 데이터 클린업은 시간이 많이 듭니다. 데이터 엔지니어는 보통 Python 같은 프로그래밍 언어로 CSV를 파싱하고 정리합니다. Datablist는 비기술 사용자를 위한 No-Code 도구를 제공해 <a1>CSV 파일</a1>로 데이터 클린업을 수행할 수 있게 합니다. <a2>수십만 행의 CSV 파일을 열어</a2> 빠르게 중복 레코드를 제거하세요.","DATA_DEDUP_WHEN_CSV_LINK":"CSV 파일 중복 제거 방법","SEE_ALSO_CSV_EDITOR":"CSV 편집기","SEE_ALSO_GUIDE_EXCEL":"가이드: 데이터 손실 없이 Excel 파일의 중복 행 병합","SEE_ALSO_GUIDE":"가이드: CSV 중복 제거","SEE_ALSO_GUIDE_LARGE_CSV":"가이드: 대용량 CSV 파일을 온라인에서 편집","SEE_ALSO_COMBINE":"CSV 파일 결합","LEAD_LIST_BUILDING":"리드 리스트를 Build, Clean, Enrich 하세요","FIND_DUPLICATE_ONLINE_TITLE":"온라인에서 중복 찾기 및 제거","FIND_DUPLICATE_ONLINE_DESC_1":"데이터 내 중복을 즉시 탐지하고 병합·제거하세요. 사용자 친화적인 웹 인터페이스로 어떤 기기에서든 복잡한 설치 없이 편리하게 접근할 수 있습니다.","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist는 고급 알고리즘으로 중복을 신속하게 식별해 시간을 절약하고 오류를 방지합니다. 수작업 검색은 끝내고, 더 효율적인 workflow를 시작하세요.","FUZZY_MATCHING_TITLE":"Fuzzy Matching을 활용한 중복 제거","FUZZY_MATCHING_ONLINE_DESC_1":"Fuzzy 중복 제거 알고리즘은 레코드 간 거리를 계산합니다. 임계값을 사용해 두 레코드가 얼마나 유사한지 정의합니다. 정확 일치와 달리 <0>fuzzy matching</0>은 오타, 약어, 사소한 차이까지 지능적으로 인식합니다.","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist는 <0>Levenshtein</0> 및 <1>Jaro-Winkler</1> 거리 알고리즘을 구현합니다.","CONSOLIDATE_DUPES_TITLE":"중복을 통합해 단일 레코드로 유지","CONSOLIDATE_DUPES_DESC_1":"단순 병합만으로 충분하지 않을 때는 고급 기능을 사용하세요. 중복 레코드를 결합하거나 불필요한 값을 제거해 통합할 수 있습니다.","CONSOLIDATE_DUPES_DESC_2":"Datablist가 충돌하는 필드를 나열하고 처리 방법을 선택하게 해줍니다. 데이터 연결(Concatenation)에는 Combine values를, 하나의 마스터 레코드 값만 유지하려면 Drop values를 사용하세요.","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"Datablist의 AI Agent로 어떤 웹사이트든 스크랩하고, Google 검색을 자동화하며, 간단한 prompt로 구조화된 데이터를 추출하세요. 코드 작성은 필요 없습니다.","FAQ_Q1":"Duplicates Finder는 무료인가요?","FAQ_A1":"예. 온라인에서 무료로 중복을 찾고 병합할 수 있습니다. Exact 및 smart matching 같은 기본 기능은 계정 없이도 사용 가능합니다. Fuzzy나 phonetic matching 같은 고급 알고리즘은 유료 요금제가 필요합니다.","FAQ_Q2":"Excel의 '중복 제거' 기능과 어떤 점이 다른가요?","FAQ_A2":"Excel은 중복 행을 영구적으로 삭제하여 잠재적으로 가치 있는 데이터를 잃을 수 있습니다. Datablist는 레코드를 병합해 모든 중복에서 보완 정보를 지능적으로 결합하여 하나의 완전한 마스터 레코드로 만듭니다. 어떤 데이터도 잃지 않습니다.","FAQ_Q3":"얼마나 큰 리스트까지 중복 제거할 수 있나요?","FAQ_A3":"Datablist는 대용량 파일 처리를 위해 설계되었습니다. 무료 요금제에서는 최대 100만 행, 유료 요금제에서는 최대 150만 행까지 처리할 수 있어, 전통적인 스프레드시트 도구의 한계를 훨씬 뛰어넘습니다.","FAQ_Q4":"오타나 약간의 차이가 있는 중복도 찾을 수 있나요?","FAQ_A4":"물론입니다. Levenshtein, Jaro-Winkler 거리와 같은 고급 fuzzy matching 알고리즘을 사용해 철자 오류, 오타, 경미한 포맷 차이가 있어도 유사한 레코드를 식별합니다.","FAQ_Q5":"한 셀에 email이 두 개 있는 등 다중 값 필드는 어떻게 처리하나요?","FAQ_A5":"그런 경우를 위해 설계되었습니다. \"Multiple Value Matching\"을 활성화하면 셀 내 각 값을(세미콜론으로 구분) 별도의 엔트리로 간주해 비교합니다. 값 중 하나만 중복이어도 일치로 판단합니다.","FAQ_Q6":"여러 CSV 또는 Excel 파일에 걸쳐 중복을 찾을 수 있나요?","FAQ_A6":"예. 여러 파일을 Datablist로 가져온 뒤, 전부를 대상으로 Duplicates Finder를 실행할 수 있습니다. 파일의 컬럼이나 구조가 달라도 공통 식별자를 기준으로 레코드를 매칭할 수 있습니다.","FAQ_Q7":"사용하려면 코드를 알아야 하나요?","FAQ_A7":"전혀 아닙니다. Datablist는 완전한 no-code 솔루션입니다. Duplicates Finder가 단계별로 안내하며, 사용자 친화적 인터페이스에서 컬럼과 매칭 규칙을 선택하기만 하면 됩니다.","FAQ_Q8":"중복 병합에 AI는 어떤 도움을 주나요?","FAQ_A8":"우리의 AI Editing 기능은 무제한의 유연성을 제공합니다. 표준 병합 규칙 대신 평이한 영어로 지시문을 작성할 수 있습니다. 예를 들어, 중복 항목의 매출 수치를 합산하거나 최신 날짜를 기준으로 마스터 레코드를 선택하라고 요청할 수 있습니다. 복잡한 로직을 단순한 요청으로 바꿔줍니다.","FAQ_Q9":"중복을 병합하면 내 데이터는 어떻게 되나요?","FAQ_A9":"Datablist는 데이터를 하나의 마스터 레코드로 통합합니다. 다른 중복에서 누락된 정보를 자동으로 채워주고, 충돌 데이터에 대한 옵션도 제공합니다. 서로 다른 행의 텍스트를 결합하거나 유지할 값을 선택할 수 있습니다. 중복된 레코드는 제거됩니다.","FAQ_Q10":"어떤 매칭 알고리즘을 사용할 수 있나요?","FAQ_A10":"용도에 따라 여러 알고리즘을 제공합니다. 동일 일치에는 'Exact', 단어 순서나 URL 프로토콜 차이 등 변형에는 'Smart', 발음이 비슷한 이름에는 'Phonetic', 오타와 철자 오류에는 'Fuzzy Matching'이 적합합니다.","FAQ_Q11":"병합 전에 중복 그룹 목록을 내보내 검토할 수 있나요?","FAQ_A11":"예. Datablist가 모든 중복 그룹을 식별한 뒤, 변경을 적용하기 전에 CSV 또는 Excel 파일로 내보낼 수 있습니다. 이 파일은 각 중복 그룹을 연속으로 나열해 외부에서 검토하거나 다른 도구로 처리하기 쉽게 합니다.","FAQ_Q12":"Datablist에서 중복을 병합한 후 CRM은 어떻게 업데이트하나요?","FAQ_A12":"병합을 완료하면 Datablist가 다운로드 가능한 'Changes List'를 제공합니다. 이 파일은 처리 중 업데이트되거나 삭제된 모든 레코드를 기록한 로그 역할을 합니다. 이 파일을 사용해 CRM 같은 외부 시스템에서도 변경을 손쉽게 반영하여 데이터 동기화를 유지할 수 있습니다."},"CSVEditor":{"PAGE_TITLE":"무료 온라인 CSV 편집기 및 뷰어","PAGE_DESC":"CSV 파일을 온라인으로 관리하는 현대적인 CSV 편집기입니다. 브라우저에서 직접 데이터를 열고 편집하세요.","HEADER_TITLE":"온라인 CSV 편집기 및 뷰어","HEADER_DESC_1":"Leads, 고객, 제품 CSV 파일을 온라인에서 탐색하고 편집하세요.","NO_SIGNUP":"회원가입 없이 사용","ONLINE_100":"100% 온라인","NO_CODE_CONFIG":"노코드 구성","CSV_DEF_TITLE":"CSV 파일이란?","CSV_DEF_DESC_1":"CSV는 'Comma Separated Value(s)'의 약자로, 텍스트 파일을 사용해 구조화된 데이터를 저장하는 형식입니다. CSV 파일에서 각 줄은 하나의 데이터 레코드이며, 각 레코드는 쉼표(또는 세미콜론 ';', 탭 문자)로 구분된 필드로 구성됩니다.","CSV_DEF_DESC_2":"CSV 파일은 애플리케이션 간 데이터를 전송하는 일반적인 방식입니다. 텍스트 파일 기반이기 때문에 데이터베이스나 스프레드시트 데이터를 내보내기에 간단한 형식입니다.","EDIT_TITLE":"CSV 파일을 온라인으로 열기","EDIT_DESC_1":"웹 브라우저에서 CSV 파일을 바로 업로드하세요. Datablist CSV Editor가 CSV 열 구분자를 자동으로 감지합니다.","EDIT_DESC_2":"가져올 CSV 열을 선택하고 데이터 유형을 지정하세요: Text, LongText, Date, Number, Email address 등.","EDIT_DESC_3":"가져온 후, Datablist로 원하는 속성으로 정렬하고 전체 텍스트 검색으로 데이터를 필터링하세요.","DATA_MANIP_TITLE":"CSV 파일을 정리하고 통합하세요","DATA_MANIP_DESC":"데이터 조작에 더 이상 Excel이나 Google Sheets를 사용하지 마세요 😱!","WHY_USE_CSV_TITLE":"왜 Datablist의 CSV 편집기를 써야 할까요?","WHY_USE_CSV_BLOC_TITLE_1":"메일링 리스트를 정리하세요","WHY_USE_CSV_BLOC_DESC_1":"Email 리스트는 사용자에게 도달하는 최적의 방법입니다. 하지만 시간이 지나면 리스트가 지저분해집니다. Datablist로 도달률(deliverability)을 높이고 비용을 절감하세요. 중복과 유효하지 않은 email 주소를 손쉽게 제거합니다.","WHY_USE_CSV_BLOC_TITLE_2":"제품 카탈로그를 관리하세요","WHY_USE_CSV_BLOC_DESC_2":"대부분의 e-commerce 도구는 CSV 파일로 제품 카탈로그를 가져오고 내보내도록 지원합니다. Google Shopping에 보내기 전에 카탈로그를 정리하든, 여러 스토어를 하나의 컬렉션으로 통합하든, Datablist는 목록 관리에 딱 맞게 설계되었습니다.","WHY_USE_CSV_BLOC_TITLE_3":"Leads를 Enrich 하세요","WHY_USE_CSV_BLOC_DESC_3":"email 주소, 직함, LinkedIn 프로필 등으로 enrich하고 싶은 잠재고객(prospect) 리스트가 있으신가요? CRM 도구는 관심을 보인 이후에 leads를 추적하고 enrich하는 데 뛰어납니다. 하지만 prospect 리스트 빌딩과 대량 leads에 대한 lead scoring에는 한계가 있습니다. Datablist는 prospect 추적에 완벽한 도구입니다.","WHY_USE_CSV_BLOC_TITLE_4":"SEO 키워드를 추적하세요","WHY_USE_CSV_BLOC_DESC_4":"SEO 전략을 구축 중이신가요? Datablist로 SEO 키워드를 저장하고, 경쟁사를 목록화하며, 월간 검색량과 키워드 난이도를 분석하세요. 블로그 포스트 아이디어를 기록하고 경쟁사 블로그 포스트도 추적하세요.","CSV_CLEANER_TITLE":"CSV 클리너","CSV_CLEANER_DESCRIPTION":"CSV 파일은 오류, 비일관성, 서식 문제에 취약해 작업과 분석을 어렵게 만들 수 있습니다. CSV 클리닝은 이러한 문제를 감지하고 수정하여 데이터가 정확하고 일관되며 올바르게 서식화되도록 하는 과정입니다.","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSV 중복 제거","CSV_CLEANER_TITLE_BLOC_DESC_1":"데이터 중복 제거는 CSV 클리닝의 중요한 요소입니다. Datablist Duplicates Finder를 사용하면 사용 가능한 모든 열을 기준으로 데이터를 비교하거나 특정 열만 선택해 비교할 수 있습니다. 고급 알고리즘으로 큰 데이터셋도 수초 만에 빠르게 스캔하고 중복을 식별합니다. 또한 중복 레코드를 식별하는 것에 더해 강력한 병합 기능을 제공하여 중복 레코드를 하나의 정확한 레코드로 통합합니다.","CSV_CLEANER_TITLE_BLOC_TITLE_3":"데이터 타입 변환","CSV_CLEANER_TITLE_BLOC_DESC_3":"데이터 타입 변환은 CSV 클리닝에서 흔한 작업입니다. 데이터 값을 표준화된 형식으로 변환하여 정확성과 일관성을 보장합니다. DateTime, Numbers, Boolean 등 특정 데이터 타입에 맞추어 CSV의 값 형식을 변경할 수 있습니다. 데이터 타입 변환은 CSV를 필터링하고 문자열 데이터를 다른 도구로 가져오기 위한 표준 형식으로 변환하는 데 중요합니다.","CSV_CLEANER_TITLE_BLOC_TITLE_6":"HTML 태그 정리 및 기호 제거","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablist에는 태그가 포함된 HTML 코드를 일반 텍스트로 변환하는 내장 클리닝 도구가 포함되어 있습니다. 텍스트에서 스마일리와 각종 기호를 제거하고 불필요한 공백을 없애는 도구도 제공합니다. 이러한 클리닝 도구로 데이터의 가독성과 활용성을 높이세요. 불필요한 노이즈와 기호를 제거하면 데이터가 더욱 명확하고 간결해집니다.","CSV_CLEANER_TITLE_BLOC_TITLE_7":"찾기 및 바꾸기","CSV_CLEANER_TITLE_BLOC_DESC_7":"‘찾기 및 바꾸기’ 도구는 데이터 클리닝 작업에 최적입니다. 특정 값이나 패턴을 검색해 올바른 값 또는 원하는 값으로 바꾸세요. 철자 오류, 서식 불일치, 기타 입력 오류를 바로잡는 데 도움이 됩니다. 데이터 표준화에도 활용하세요. 특정 값의 다양한 변형이나 형식을 찾아 표준화된 형식으로 통일할 수 있습니다.","CSV_MANIPULATION_TITLE":"강력한 CSV 조작 도구","CSV_MANIPULATION_BLOC_TITLE_1":"일괄 편집 (Bulk Edit)","CSV_MANIPULATION_BLOC_DESC_1":"Datablist Bulk Edit는 CSV 클리닝 프로세스를 단순화합니다. 여러 항목을 한 번에 변경하세요. 전체 컬렉션에 적용하거나, 필터링된 항목을 편집하거나, 선택 항목만 일괄 편집할 수 있습니다. 대규모 데이터셋을 관리하고 업데이트하는 데 매우 효율적입니다. Datablist Bulk Edit로 데이터를 표준화하고 관련 레코드에 일관된 서식과 값을 적용하세요.","CSV_MANIPULATION_BLOC_TITLE_2":"데이터 조작을 위한 JavaScript 코드 작성","CSV_MANIPULATION_BLOC_DESC_2":"JavaScript는 Datablist에서 데이터를 클리닝하는 데 직접 사용할 수 있는 강력한 언어입니다. 스프레드시트 도구의 수식은 복잡하고 느릴 수 있지만, JavaScript는 간단한 서식 변경과 데이터 타입 변환부터 복잡한 변환과 분석까지 폭넓은 작업을 수행하는 커스텀 스크립트를 만들 수 있어 유연합니다.","CSV_MANIPULATION_BLOC_TITLE_3":"CSV 열 분할 및 병합","CSV_MANIPULATION_BLOC_DESC_3":"CSV 열을 분할하고 병합하는 것은 CSV 클리닝에 유용한 기법입니다. 데이터를 더 의미 있게 재구조화하고 조직화할 수 있습니다. 예를 들어 쉼표나 세미콜론과 같은 구분자로 여러 값이 들어 있는 단일 열이 있다면, 해당 구분자를 기준으로 여러 열로 분할할 수 있습니다.","CSV_MANIPULATION_TITLE_4":"여러 CSV 파일의 데이터를 정합화하세요","CSV_MANIPULATION_DESC_4":"Datablist로 데이터 정합화는 간단합니다. 여러 데이터 소스를 각각 컬렉션으로 가져오세요. 그런 다음 리스트 간 공통 식별자를 선택해 조인합니다. Datablist는 'FULL OUTER JOIN'과 'LEFT OUTER JOIN' 옵션을 제공합니다. 충돌하는 데이터를 병합하는 방식도 구성할 수 있습니다. 가져온 데이터를 건너뛰거나 병합하세요.","CSV_ONLINE_EDITOR":"온라인이지만 강력한 CSV 편집기","CSV_ONLINE_EDITOR_DESC_1":"다른 온라인 CSV 편집기는 CSV 파일을 열고 보는 단순한 기능만 제공하며, 대개 광고가 가득합니다. Datablist는 온라인 CSV 편집기이면서도 컴퓨터에 앱을 설치하지 않고 대용량 CSV 파일을 여는 강력한 기능을 제공합니다. 브라우저의 성능을 활용해 데이터를 저장하고 처리합니다.","CSV_ONLINE_EDITOR_DESC_2":"새 CSV 파일을 처음부터 생성하거나 외부 CSV 파일을 파싱하고, Excel 파일을 열 수 있습니다. 연 후에는 내장 필터와 정렬 도구로 데이터를 탐색하고, CSV 데이터를 정리하고 편집하세요. 모든 데이터 조작은 브라우저 내의 사용하기 쉬운 인터페이스로 접근할 수 있습니다.","CROSS_OS_TITLE":"Windows, Mac OS, Linux용 CSV 편집기","CROSS_OS_DESC_1":"Datablist CSV Editor는 모든 플랫폼과 운영체제에서 호환됩니다. Microsoft Windows, Mac OS, Linux에서 CSV 파일을 온라인으로 여세요.","CROSS_OS_DESC_2":"최신 웹 브라우저 기술을 활용해 플랫폼 장벽을 허물었습니다. 데이터는 브라우저에서 실행되는 로컬 데이터베이스에 로드됩니다. Cloud 동기화를 통해 Datablist는 클라우드와 팀 구성원 간에 데이터를 지속적으로 동기화합니다.","PARSE_ONLINE_TITLE":"CSV 파일을 온라인에서 파싱하고 수정하세요","PARSE_ONLINE_DESC_1":"직관적인 앱으로 CSV 파일을 손쉽게 온라인에서 파싱하고 수정하세요. 번개처럼 빠른 속도로 CSV(및 Excel) 파일에서 데이터를 파싱, 추출, 구성할 수 있습니다.","PARSE_ONLINE_DESC_2":"복잡한 설치나 호환성 문제는 이제 그만. 인터넷이 연결된 어떤 기기에서도 번거로움 없이 CSV를 파싱할 수 있도록 Datablist가 보장합니다.","PARSE_ONLINE_DESC_3":"Datablist는 대용량 CSV 파일도 몇 초 만에 파싱해, 빠르게 인사이트를 도출할 수 있게 합니다.","PARSE_ONLINE_DESC_4":"Datablist에서 CSV 데이터를 직접 수정하고 CSV 또는 Microsoft Excel 형식으로 내보내세요.","SEE_ALSO":"관련 자료","DATA_EDITOR":"온라인 데이터 편집기","DATA_EDITOR_DESC":"CSV를 넘어 다양한 데이터 형식을 관리·조작하는 강력한 온라인 데이터 편집기입니다.","DUPLICATES_REMOVER":"중복 제거 도구","DUPLICATES_REMOVER_DESC":"퍼지 매칭과 병합 기능을 갖춘 고급 중복 탐지 및 제거 도구입니다.","COMBINE_CSV":"CSV 파일 병합","COMBINE_CSV_DESC":"공통 식별자와 조인 연산을 사용해 여러 CSV 파일을 병합하고 통합하세요.","EMAIL_CLEANING":"Email 리스트 클리닝","EMAIL_CLEANING_DESC":"Email 리스트를 정리하고 검증해 도달률을 높이고 반송률을 낮추세요.","WHY_USE_CSV_BLOC_LINK_1":"Email 리스트를 정리하는 방법","PROSPECT_LIST_BUILDING":"Prospect 리스트 빌딩","GUIDE_DATA_CLEANING":"데이터 클리닝 가이드를 확인하세요","INVENTORY_MANAGEMENT_LINK":"온라인 스토어 재고와 공급사 피드를 관리하세요","DUPLICATES_FINDER_LINK":"중복 레코드 찾기 및 병합","AI_EDITING_LINK":"AI로 데이터 변환 스크립트를 작성하세요"},"DataEditor":{"PAGE_TITLE":"온라인 데이터 편집기 ","PAGE_DESC":"CSV, Excel 및 구조화된 데이터를 관리하기 위한 강력한 온라인 데이터 편집기. 고급 도구와 노코드 인터페이스로 데이터를 정제, 편집, 변환하세요.","HEADER_TITLE":"온라인 데이터 편집기","HEADER_DESC_1":"스프레드시트의 단순함과 데이터베이스 기능을 결합한 강력한 온라인 편집기로 데이터를 관리하세요.","HEADER_DESC_2":"CSV와 Excel 파일을 가져오고 데이터를 정제한 뒤 결과를 내보내기까지—모두 브라우저에서 처리하세요.","NO_SIGNUP":"회원가입 필요 없음","ONLINE_100":"100% 온라인","EASY_TO_USE":"사용이 간편함","WHAT_IS_TITLE":"Datablist의 차별점","WHAT_IS_DESC":"스프레드시트 도구는 데이터 목록을 다룰 때 한계가 있습니다. 데이터베이스와 달리 데이터 구조나 제약이 없습니다. Datablist는 스프레드시트의 사용 편의성을 유지하면서 데이터베이스 기능을 제공합니다. 데이터 정제, leads 관리, 구조화된 데이터 작업에 최적입니다.","EDIT_TITLE":"데이터 파일 가져오기 및 편집","EDIT_DESC_1":"CSV와 Excel 파일을 브라우저에서 바로 업로드하세요. Datablist가 열 유형과 데이터 구조를 자동으로 감지합니다.","EDIT_DESC_2":"각 열의 데이터 타입을 정의하세요: Text, Email, Number, Date, URL 등.","EDIT_DESC_3":"대규모 데이터셋을 위해 설계된 강력한 도구로 데이터를 정렬, 필터링, 검색하세요.","EDIT_DESC_4":"최대 속도와 개인정보 보호를 위해 모든 처리는 브라우저 로컬에서 수행됩니다.","DATA_MANIP_TITLE":"고급 데이터 가공","DATA_MANIP_DESC":"강력한 데이터 정제와 통합 도구로 기본 스프레드시트 작업을 넘어서세요.","DATA_MANIP_BLOC_DUPLICATES_TITLE":"중복 항목 찾기 및 병합","DATA_MANIP_BLOC_DUPLICATES_DESC":"퍼지 매칭, 발음 기반 알고리즘을 활용한 고급 중복 감지와 데이터 손실 없는 스마트 병합.","DATA_MANIP_BLOC_CONSO_TITLE":"여러 파일 결합","DATA_MANIP_BLOC_CONSO_DESC":"데이터베이스처럼 JOIN 연산으로 공통 식별자를 기준으로 CSV 파일을 병합하세요.","DUPLICATES_LINK":"중복 제거 자세히 알아보기","COMBINE_LINK":"CSV 파일 결합 가이드","NOCODE_TITLE":"노코드 데이터 작업","NOCODE_DESC_1":"코드 작성 없이 복잡한 데이터 작업을 수행하세요. 직관적인 인터페이스로 데이터 정제, 변환, 보강을 진행합니다.","NOCODE_DESC_2":"대량 편집, 찾기 및 바꾸기, 데이터 타입 변환 등 내장 도구 제공.","PRODUCTIVITY_TITLE":"생산성을 높이세요","PRODUCTIVITY_DESC":"키보드 단축키, 대량 작업, 데이터 전문가를 위한 간소화된 workflow로 더 빠르게 작업하세요.","PRODUCTIVITY_BULLET_1":"모든 스프레드시트 도구에서 복사/붙여넣기 지원","PRODUCTIVITY_BULLET_2":"파워 유저를 위한 키보드 단축키","PRODUCTIVITY_BULLET_3":"여러 항목을 한 번에 대량 편집","PRODUCTIVITY_BULLET_4":"안전한 데이터 작업을 위한 실행 취소/다시 실행","FEATURES_TITLE":"데이터베이스 기반 기능","DATABASE_FEATURES_TITLE":"데이터 구조와 제약","DATABASE_FEATURES_DESC":"데이터 타입, 고유 제약, 검증 규칙을 정의하세요. 내장 검증으로 데이터 품질을 보장합니다.","EDITING_FEATURES_TITLE":"고급 편집 도구","EDITING_FEATURES_DESC":"대량 편집, 정규식(regex) 기반 찾기 및 바꾸기, 데이터 타입 변환, 복잡한 변환을 위한 JavaScript 스크립팅.","SEARCH_FEATURES_TITLE":"강력한 검색","SEARCH_FEATURES_DESC":"모든 열에서 전문 검색을 지원하며, 대규모 데이터셋에서도 즉시 결과를 제공합니다.","FILTER_FEATURES_TITLE":"고급 필터링","FILTER_FEATURES_DESC":"AND/OR 논리로 복합 필터 조건을 만들고, 필터를 저장하고, 필터링된 하위 집합으로 작업하세요.","CLEANING_TITLE":"데이터 정제 도구 모음","BULK_EDIT_TITLE":"대량 편집 작업","BULK_EDIT_DESC":"대량 작업으로 여러 항목을 한 번에 편집하세요: 대/소문자 변경, 접두/접미사 추가, 기호 제거, HTML을 텍스트로 변환 등.","BULK_EDIT_LINK":"대량 편집 문서","DATA_TYPES_TITLE":"데이터 타입 변환","DATA_TYPES_DESC":"텍스트를 숫자, 날짜, 체크박스로 변환합니다. 유닉스 타임스탬프를 파싱하고 숫자 형식을 정규화하여 데이터 일관성을 보장합니다.","DATA_TYPES_LINK":"데이터 변환 가이드","JAVASCRIPT_TITLE":"JavaScript 스크립팅","JAVASCRIPT_DESC":"복잡한 데이터 변환을 위해 사용자 정의 JavaScript 코드를 작성하세요. 외부 API를 호출하고 맞춤형 workflow를 구축하세요.","JAVASCRIPT_LINK":"JavaScript 문서","FIND_REPLACE_TITLE":"찾기 및 바꾸기","FIND_REPLACE_DESC":"정규식, 대소문자 구분 옵션, 단어 전체 일치 등 고급 찾기 및 바꾸기.","FIND_REPLACE_LINK":"찾기 및 바꾸기 가이드","EXPORT_TITLE":"정제된 데이터 내보내기","EXPORT_DESC":"구분자와 인코딩을 선택해 CSV 또는 Excel 형식으로 내보내세요. 다른 도구로 가져오거나 팀과 공유하기에 적합합니다.","SEE_ALSO":"관련 도구","CSV_EDITOR":"CSV 편집기","CSV_EDITOR_DESC":"쉼표로 구분된 값 파일을 위한 고급 기능의 전문 CSV 편집기.","DUPLICATES_REMOVER":"중복 제거 도구","DUPLICATES_REMOVER_DESC":"퍼지 매칭 알고리즘을 통한 고급 중복 감지 및 제거.","COMBINE_CSV":"CSV 파일 결합","COMBINE_CSV_DESC":"데이터베이스 스타일의 JOIN 연산으로 여러 CSV 파일을 병합합니다.","ENRICHMENTS":"데이터 보강","ENRICHMENTS_DESC":"외부 API로 기업 정보, email 검증 등을 추가하여 데이터를 보강하세요."},"ToolsCommon":{"HOME":"홈","BREADCRUMB_NAV":"이동 경로","BREADCRUMB_TITLE":"도구","OPEN_TOOL":"도구 열기","OTHER_TOOLS_TITLE":"기타 도구","RELATED_TOOLS_TITLE":"관련 도구","UI":{"BROWSE":"찾아보기","CLEAR":"지우기","COPIED":"복사됨","COPY_CSV":"CSV 복사","DOWNLOAD_CSV":"CSV 다운로드","INPUT":"입력","OUTPUT_PREVIEW":"출력 미리보기","PREVIEW":"미리보기","REPLACE":"바꾸기","SETTINGS":"설정","SPLIT_MODE":"분할 모드","UPLOAD_CSV_FILE":"CSV 파일 업로드","UPLOAD_JSON_FILE":"JSON 파일 업로드"},"TOOLS":{"JSON_TO_CSV":{"NAME":"JSON to CSV 변환기","DESCRIPTION":"중첩된 JSON, API 응답, 혼합 배열, 객체 중심 payload를 row node 감지, 선택적 flattening, 고급 parsing 제어를 통해 깔끔한 CSV로 변환합니다."},"CSV_DIFF":{"NAME":"CSV Diff 도구","DESCRIPTION":"온라인에서 두 개의 CSV 파일을 비교하고, id 또는 email로 행을 매칭하며, 추가됨·삭제됨·변경됨·변경 없음 행을 감지한 뒤, 구조화된 diff CSV를 다운로드할 수 있습니다."},"CSV_ROWS_SPLITTER":{"NAME":"CSV 행 분할 도구","DESCRIPTION":"여러 값을 포함한 셀을 각각의 개별 행으로 분할합니다. CSV를 업로드하고, 컬럼과 구분자를 선택하면 tags, emails, 또는 전화번호를 행당 하나의 값으로 확장할 수 있습니다."},"CSV_SPLITTER":{"NAME":"CSV 분할 도구","DESCRIPTION":"행 수, 파일 크기, 컬럼 값, 규칙 또는 날짜 범위를 기준으로 CSV를 분할합니다. 출력 결과를 미리 보고, 필요한 컬럼만 유지한 뒤, 결과를 CSV 또는 ZIP으로 다운로드할 수 있습니다."}},"ENRICHMENT_WAIT":{"PHASES":{"VALIDATING":"입력 내용을 확인하는 중…","PREPARING":"요청을 준비하는 중…","STARTING":"작업을 시작하는 중…","PROCESSING":"데이터를 처리하는 중…","CONTINUING":"계속 처리 중입니다. 결과가 준비되면 여기에 자동으로 표시됩니다."},"REASSURANCE":"결과가 준비되는 즉시 확인할 수 있도록 이 탭을 열어 두세요. 페이지를 나가더라도 24시간 이내에 이 브라우저에서 다시 확인할 수 있습니다.","PROGRESS_LABEL":"요청을 처리하는 중","RUNNING_TITLE":"처리 중 · Datablist","READY_TITLE":"결과 준비 완료 · Datablist","ATTENTION_TITLE":"확인이 필요한 작업 · Datablist","SAMPLE":{"REASSURANCE":"이 샘플 실행에는 크레딧이 사용되지 않습니다.","PROGRESS_LABEL":"샘플 결과를 준비하는 중","RUNNING_TITLE":"샘플 결과를 불러오는 중 · Datablist","READY_TITLE":"샘플 결과 준비 완료 · Datablist"}},"ENRICHMENT_OPTIONS":{"LOADING":"옵션을 불러오는 중…","LOAD_FAILED":"옵션을 불러오지 못했습니다. 페이지를 새로고침하여 다시 시도해 주세요.","UNAVAILABLE":"현재 추가 옵션을 사용할 수 없습니다. 이 도구에는 기본 설정이 적용됩니다."}},"ToolsPage":{"PAGE_TITLE":"Datablist 도구","PAGE_DESC":"JSON, CSV 및 정리되지 않은 데이터 workflow를 위한 Datablist 도구를 둘러보세요. 여기에는 대용량의 정리되지 않은 export를 위한 CSV diff와 고급 JSON to CSV 변환이 포함됩니다.","CATEGORY":"Datablist 도구","HEADER_TITLE":"지저분한 데이터를 위한 아름다운 도구","HEADER_DESC":"JSON, CSV 및 현실 세계의 정리되지 않은 데이터를 위한, 계속 확장되는 집중형 유틸리티 모음입니다. 각 도구는 일회성 폼이 아니라 하나의 제품처럼 설계되었습니다.","ITEMLIST_NAME":"Datablist 도구","ITEMLIST_DESC":"JSON, CSV 및 데이터 변환 workflow를 위한 Datablist 도구 모음입니다.","LISTING":{"FILES":{"TITLE":"파일 정리 및 변환","CARDS":{"JSON_TO_CSV":{"DESCRIPTION":"중첩된 JSON 또는 API 응답을 깔끔한 CSV로 변환합니다."},"CSV_DIFF":{"DESCRIPTION":"두 CSV 파일을 비교하고 추가, 삭제 또는 변경된 행을 내보냅니다."},"CSV_ROWS_SPLITTER":{"DESCRIPTION":"여러 값이 포함된 CSV 셀을 값마다 하나의 행으로 확장합니다."},"CSV_SPLITTER":{"DESCRIPTION":"행, 크기, 값, 규칙 또는 날짜 범위를 기준으로 CSV를 분할합니다."}}},"LEADS":{"TITLE":"leads 검색 및 준비","CARDS":{"DOMAIN_FINDER":{"TITLE":"기업 도메인 검색기","DESCRIPTION":"기업명 목록에서 웹사이트 도메인을 찾습니다."},"SALES_NAVIGATOR_SCRAPER":{"TITLE":"Sales Navigator 스크래퍼","DESCRIPTION":"Sales Navigator 또는 LinkedIn 검색 URL에서 leads를 미리 확인합니다."},"EMAIL_FINDER":{"TITLE":"업무용 email finder","DESCRIPTION":"이름과 기업 정보 또는 LinkedIn 프로필을 사용하여 업무용 email을 찾습니다."},"COMPANY_NAME_CLEANER":{"TITLE":"기업명 정리 도구","DESCRIPTION":"법인 표기를 제거하고 대소문자를 수정하며 중복 항목을 표시합니다."},"INSTAGRAM_FOLLOWER_SCRAPER":{"TITLE":"Instagram 팔로워 스크래퍼","DESCRIPTION":"Instagram 프로필 URL 또는 핸들에서 팔로워 샘플을 미리 확인합니다."},"LINKEDIN_PROFILE_SCRAPER":{"TITLE":"무료 LinkedIn 프로필 스크래퍼","DESCRIPTION":"무료 온라인 LinkedIn 프로필 스크래퍼입니다. 프로필 URL을 붙여넣으면 최대 40개의 공개 데이터 포인트를 무료로 추출할 수 있습니다. 로그인, 쿠키 또는 세션 ID가 필요하지 않습니다."}}}},"KEYWORDS":["datablist tools","json tools","csv tools","json to csv tools","csv diff tool","csv splitter tool","data conversion tools"]},"ToolsJsonToCsv":{"PAGE_TITLE":"JSON to CSV 변환기","PAGE_DESC":"중첩 JSON, 대용량 파일, API 응답, 복잡한 export를 위한 무료 온라인 JSON to CSV 변환기입니다. row node를 선택하고, 객체를 펼치고(flatten), 결과를 미리 본 뒤 브라우저에서 CSV를 다운로드할 수 있습니다.","SCHEMA_NAME":"Datablist JSON to CSV 변환기","SCHEMA_DESC":"중첩 데이터, 대용량 파일, row node 감지, flatten 제어, 브라우저 내 처리 기능을 제공하는 무료 온라인 JSON to CSV 변환기입니다.","TOOL":{"EMPTY_SOURCE_LABEL":"JSON을 붙여넣거나 파일을 업로드하세요","ERROR_MISSING_SOURCE":"먼저 JSON payload를 붙여넣거나 JSON 파일을 업로드하세요.","NO_PREVIEW_DESC":"CSV 미리보기를 생성하려면 JSON 파일을 업로드하거나 JSON을 붙여넣으세요.","NO_PREVIEW_TITLE":"아직 미리보기가 없습니다","OVERLAY_DESC":"파일은 로컬에서 파싱되며 즉시 미리보기됩니다.","OVERLAY_TITLE":"여기에 JSON 파일을 드롭하세요","PASTE_LABEL":"JSON 붙여넣기","PASTED_LABEL":"붙여넣은 JSON","STATUS_COLUMNS_REFRESHED":"컬럼이 새로고침되었습니다","STATUS_FAILED":"변환에 실패했습니다","STATUS_PARSING":"JSON 파싱 중","STATUS_PREVIEW_READY":"미리보기가 준비되었습니다","STATUS_PREVIEW_UPDATED":"미리보기가 업데이트되었습니다","STATUS_REFRESHING_COLUMNS":"감지된 컬럼을 새로고침하는 중","STATUS_UPDATING_PREVIEW":"CSV 미리보기를 업데이트하는 중","STATUS_WAITING":"입력을 기다리는 중","SUBMIT_LABEL":"JSON 변환","UI":{"CHAR_COUNT":"{count}자","JSON_PARSING":"JSON 파싱","PARSING_SIMPLE_DESC":"이 JSON에는 기본 파싱 설정을 사용할 수 있습니다. 설정을 사용자 지정하려는 경우에만 열어 주세요.","PARSING_COMPLEX_DESC":"복잡한 JSON이 감지되었습니다. 내보내기 전에 행 감지 결과와 열을 검토해 주세요.","ROW_NODES":"행 노드","NODE_OPTION":"{path} · {count}개 행","RECOMMENDED_SUFFIX":" · 권장","ROW_NODES_HELP":"잘못된 배열이 선택된 경우 열을 편집하기 전에 여기에서 올바른 배열로 변경해 주세요.","FLATTEN_OBJECTS":"중첩 객체 평면화","FLATTEN_OBJECTS_DESC":"`data.name`을 별도의 CSV 열로 변환합니다.","OBJECTS_TO_FLATTEN":"평면화할 객체","OBJECTS_TO_FLATTEN_DESC":"별도의 열로 확장할 중첩 객체를 선택하세요.","ARRAY_HANDLING":"배열 처리","ARRAY_HANDLING_DESC":"배열 값을 CSV에 기록할 방식을 지정하세요.","ARRAY_SEPARATOR":"배열 구분 기호","ARRAY_FIELDS":"각 배열 필드 설정","ARRAY_FIELDS_DESC":"감지된 각 배열 열을 내보낼 방식을 선택하세요.","ARRAY_JOIN":"항목 결합","ARRAY_JSON":"JSON 문자열로 변환","ARRAY_CASE_BY_CASE":"필드별 설정","ARRAY_KEEP_FIRST":"첫 번째 항목만 유지","DETECTED_COLUMNS":"감지된 열","DETECTED_COLUMNS_DESC":"내보내기 전에 JSON 경로를 확인하고, 헤더 이름을 변경하거나 열을 제외하세요.","COLUMN_COUNT":"{total}개 중 {visible}개 표시","CSV":"CSV","CSV_DESC":"내보내는 CSV의 형식을 설정하세요.","CSV_SEPARATOR":"CSV 구분 기호","CSV_SEPARATOR_DESC":"열 사이에 사용할 구분 기호를 선택하세요.","SEPARATOR_COMMA":"쉼표 (,)","SEPARATOR_PIPE":"파이프 (|)","SEPARATOR_SEMICOLON":"세미콜론 (;)","SEPARATOR_TAB":"탭 (\\t)","CUSTOM":"사용자 지정","ENTER_SEPARATOR":"구분 기호 입력","QUOTE_TYPE":"따옴표 유형","QUOTE_TYPE_DESC":"이스케이프 처리가 필요할 때 필드를 감쌀 방식을 선택하세요.","DOUBLE_QUOTE":"큰따옴표 (\")","SINGLE_QUOTE":"작은따옴표 (')","INCLUDE_HEADER":"헤더 행 포함","INCLUDE_HEADER_DESC":"첫 번째 CSV 행에 열 이름을 기록합니다.","DATE_FORMAT":"날짜 출력 형식","DATE_FORMAT_DESC":"내보내기 전에 감지된 ISO 형식과 유사한 날짜를 다시 지정합니다.","DATE_KEEP_ORIGINAL":"원본 유지","DATE_ISO":"ISO 날짜 (yyyy-MM-dd)","DATE_EUROPEAN":"유럽식 (dd/MM/yyyy)","DATE_US":"미국식 (MM/dd/yyyy)","DATE_TIME":"날짜 및 시간 (yyyy-MM-dd HH:mm:ss)","DATE_READABLE":"읽기 쉬운 형식 (MMM d, yyyy)","OUTPUT":"출력","COPY_CSV":"CSV 복사","COPIED":"복사됨","COPY_FAILED":"복사 실패","DOWNLOAD_CSV":"CSV 다운로드","TABLE_VIEW":"표 보기","RAW_CSV":"원본 CSV","EMPTY_PREVIEW":"JSON을 업로드하거나 왼쪽에 붙여넣으세요. 감지된 행 소스와 평면화 규칙이 적용된 미리보기가 여기에 표시됩니다.","PREVIEW_LIMIT":"최대 100개 행을 미리 볼 수 있습니다. 전체 CSV를 받으려면 다운로드하세요.","ROWS":"행","COLUMNS":"열","ERRORS":"오류"}},"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":"JSON을 붙여넣고 몇 초 만에 깔끔한 CSV를 받아보세요.","SEO_HERO_DESC":"더 단순한 도구가 자주 실패하는 파일을 위한 무료 온라인 JSON to CSV 변환기입니다: 중첩 객체, 혼합 배열, 대용량 payload까지 처리합니다. 데이터는 사용자의 기기에 그대로 유지됩니다.","INTRO_TITLE":"API 응답과 복잡한 export를 위한 중첩 JSON to CSV 변환기","INTRO_PARAGRAPHS":["대부분의 도구는 JSON이 평평한 배열로 시작하지 않으면 제대로 작동하지 않습니다. 하지만 실제 데이터는 대개 복잡합니다. API 응답, webhook payload, CRM export, scraped 파일에는 중첩 객체, 메타데이터, 혼합 구조가 포함됩니다. 이 도구는 바로 그런 데이터를 처리하도록 만들었습니다.","row node를 선택하고, 펼칠 객체를 지정하고, 배열 규칙을 설정하세요. 그런 다음 CSV를 미리 보고 다운로드할 수 있습니다. 실제 환경의 데이터를 위한 최고의 JSON to CSV 변환기를 찾고 계셨다면, 이 작업을 위해 만든 도구가 바로 이것입니다."],"EXAMPLES":{"API":{"TITLE":"예시: 중첩된 API 응답을 CSV로 변환","DESCRIPTION":"JSON 루트가 객체로 구성되고 실제 row가 `results` 또는 `data` 같은 중첩 배열 안에 들어 있는 경우가 많습니다. 단순한 변환기는 여기서 실패하지만, 이 도구는 배열을 감지하고 구조를 flatten하여 깔끔한 CSV로 export합니다.","JSON_LABEL":"중첩 JSON 입력","CSV_LABEL":"CSV 출력"},"CONTACTS":{"TITLE":"예시: 중첩된 contacts 배열 추출","DESCRIPTION":"일부 payload에는 여러 배열이 포함되어 있습니다. 상위 레코드가 필요할 수도 있고, contacts처럼 더 깊은 배열이 필요할 수도 있습니다. row node 선택기를 사용해 필요한 정확한 배열을 지정하고 해당 row만 export하세요.","JSON_LABEL":"여러 배열이 포함된 JSON","CSV_LABEL":"Contacts용 CSV 출력"}},"PARSING_SETTINGS":{"TITLE":"JSON 파싱 설정","ITEMS":[{"TITLE":"Row nodes","BODY":"CSV row를 구성할 배열을 선택합니다. 유용한 데이터는 루트에 바로 있는 경우가 드뭅니다. JSON에 여러 배열이 포함되어 있다면, 이 설정으로 올바른 배열을 선택하세요."},{"TITLE":"중첩 객체 flatten","BODY":"`company` 또는 `metrics` 같은 객체를 개별 컬럼으로 펼칩니다. flatten할 특정 객체를 선택하여 CSV를 체계적으로 유지하고 중복 필드를 방지할 수 있습니다."},{"TITLE":"배열 처리","BODY":"구분자로 배열을 결합하거나, JSON 문자열 형식으로 유지하거나, 사용자 지정 규칙을 적용할 수 있습니다. tags는 결합된 상태로 유지하고, 복잡한 배열은 JSON으로 남기거나, 목록에서 첫 번째 항목만 추출할 수도 있습니다."},{"TITLE":"배열별 개별 규칙","BODY":"서로 다른 배열에 서로 다른 규칙을 적용합니다. tags에는 한 규칙을, contacts에는 다른 규칙을 설정할 수 있습니다. 일반적인 변환기는 모든 배열을 동일하게 처리하지만, 이 기능은 최종 출력에 대한 정밀한 제어를 제공합니다."}]},"OUTPUT_SETTINGS":{"TITLE":"CSV 출력 설정","ITEMS":[{"TITLE":"구분자","BODY":"쉼표, 세미콜론, 파이프, 탭 또는 사용자 지정 구분자로 export할 수 있습니다. 대상 시스템이 요구하는 정확한 delimiter에 맞추세요."},{"TITLE":"헤더 row 포함","BODY":"CSV 첫 번째 row에 컬럼명이 포함되도록 할지 선택할 수 있습니다. 다른 pipeline용 원시 데이터 row를 export하려면 헤더를 제거하세요."},{"TITLE":"날짜 출력 형식","BODY":"export 전에 날짜 형식을 다시 지정할 수 있습니다. 수동 수정 없이 spreadsheet나 BI 도구에 바로 사용할 수 있는 CSV를 생성하세요."},{"TITLE":"다운로드 전 미리보기","BODY":"파일을 다운로드하기 전에 미리보기에서 row 선택, flatten된 컬럼, 배열 규칙을 확인하세요."}]},"ROW_NODES":{"TITLE":"올바른 row node 선택하기","PARAGRAPHS":["정확한 배열을 선택해야 올바르게 변환할 수 있습니다. JSON 파일에는 wrapper 객체, 메타데이터, 중첩 배열이 포함되는 경우가 많습니다. 단순한 변환기는 처음 감지한 배열을 선택해 잘못된 데이터를 반환하곤 합니다.","Row nodes 설정을 사용해 대상 배열을 선택하세요. 회사당 한 row를 얻으려면 상위 레코드를 선택하고, 연락처당 한 row를 얻으려면 하위 배열을 선택하면 됩니다.","이 기능은 복잡한 API payload, CRM export, webhook 로그에서 비즈니스 데이터를 추출할 때 유용합니다."]},"LARGE_FILES":{"TITLE":"대용량 JSON 파일을 CSV로 변환","PARAGRAPHS":["대용량 JSON을 CSV로 변환해야 하거나, 다른 도구가 처리하지 못하는 큰 JSON 파일을 다뤄야 하나요? 이 페이지는 바로 그런 use case를 염두에 두고 만들어졌습니다.","대용량 payload를 처리하면서도 생성된 CSV의 미리보기를 확인한 뒤 전체 export를 다운로드할 수 있습니다. 미리보기는 최종 파일을 생성하기 전에 row node, flatten된 컬럼, 배열 규칙이 올바른지 확인하는 데 도움이 됩니다.","“convert large JSON to CSV”, “JSON to CSV large file”, 또는 “convert big JSON file to CSV”를 검색하셨다면, 이 도구는 바로 그런 workflow를 처리하도록 설계되었습니다."]},"PRIVACY":{"TITLE":"데이터를 외부로 보내지 않는 온라인 JSON to CSV","PARAGRAPHS":["이 도구는 온라인 JSON to CSV 변환기이지만, 파싱을 위해 파일을 원격 서버로 업로드하지 않습니다. 처리는 브라우저에서 로컬로 이루어집니다.","이는 고객 export, CRM 데이터, API 응답, 내부 로그 또는 단순 변환을 위해 외부로 보내고 싶지 않은 데이터를 다룰 때 특히 중요합니다.","요약하면, 빠르고 편리하며 변환이 사용자의 기기에서 이루어지므로 데이터를 더 안전하게 유지할 수 있습니다."]},"USE_CASES_TITLE":"이 도구를 사용해야 하는 경우","USE_CASES":[{"TITLE":"JSON API 응답을 CSV로 변환","BODY":"메타데이터와 함께 중첩 필드 안에 레코드가 들어 있는 API의 데이터를 export합니다."},{"TITLE":"중첩 JSON을 평평한 CSV 컬럼으로 변환","BODY":"중첩된 회사 정보, 주소 블록, 매출 데이터를 깔끔한 spreadsheet 컬럼으로 변환합니다."},{"TITLE":"JSON에서 중첩 배열 추출","BODY":"row node 선택기를 사용해 contacts, line items, events 같은 더 깊은 배열을 지정하고 export합니다."},{"TITLE":"CRM 또는 webhook JSON export를 CSV로 변환","BODY":"HubSpot export, 내부 API payload, webhook 로그를 Excel 또는 BI 도구에서 사용할 수 있도록 준비합니다."},{"TITLE":"같은 JSON 파일 안의 배열을 서로 다르게 처리","BODY":"단순한 tags는 결합하고, 목록의 첫 번째 항목만 유지하거나, 같은 파일 내의 복잡한 구조는 문자열로 변환할 수 있습니다."},{"TITLE":"Excel, Sheets 또는 import용 CSV 준비","BODY":"구분자를 조정하고, 헤더를 켜거나 끄고, 날짜 형식을 지정해 CSV가 대상 시스템과 정확히 맞도록 만드세요."},{"TITLE":"가시성을 유지하면서 대용량 JSON 파일 변환","BODY":"큰 JSON 파일로 작업하면서 출력의 live preview를 유지하고, 구조가 올바르게 보이면 전체 CSV를 다운로드할 수 있습니다."},{"TITLE":"무료 온라인 JSON to CSV 변환기 사용","BODY":"페이지를 열고 JSON을 붙여넣거나 업로드한 뒤, 결과를 검토하고 아무것도 설치하지 않고 무료로 CSV를 다운로드하세요."}],"FAQ_TITLE":"FAQ: 복잡한 JSON to CSV 변환","FAQ_ITEMS":[{"QUESTION":"이 도구는 무료 JSON to CSV 변환기인가요?","ANSWER":"예. 이 JSON to CSV 변환기는 무료로 사용할 수 있습니다."},{"QUESTION":"중첩 JSON 파일을 CSV로 변환할 수 있나요?","ANSWER":"예. 올바른 row node를 선택하고, flatten할 객체를 지정한 다음 데이터를 export하면 됩니다."},{"QUESTION":"row가 중첩 배열 안에 있을 때 JSON API 응답을 CSV로 변환할 수 있나요?","ANSWER":"예. 보통 `results`, `items`, `data`라고 불리는 중첩 배열을 선택하면, 도구가 해당 레코드로 CSV를 생성합니다."},{"QUESTION":"Row nodes 설정은 무엇을 하나요?","ANSWER":"어떤 배열이 CSV row를 구성할지 결정합니다. 루트 객체를 우회하고 필요한 정확한 데이터를 지정하는 데 사용하세요."},{"QUESTION":"대용량 JSON 파일을 CSV로 변환할 수 있나요?","ANSWER":"예. 이 도구는 대용량 payload를 처리하면서도 전체 파일을 다운로드하기 전에 생성된 CSV를 미리 볼 수 있도록 설계되었습니다."},{"QUESTION":"어떤 객체를 flatten할지 선택할 수 있나요?","ANSWER":"예. 컬럼으로 펼칠 특정 객체 경로를 선택할 수 있습니다. 선택하지 않은 객체는 JSON 문자열로 유지되어 export를 깔끔하게 유지합니다."},{"QUESTION":"이 JSON to CSV 변환기는 온라인으로 안전하게 사용할 수 있나요?","ANSWER":"예. 브라우저에서 온라인으로 실행되지만, 파싱과 변환은 서버로 전송되지 않고 사용자의 기기에서 로컬로 처리됩니다."},{"QUESTION":"서로 다른 배열에 서로 다른 규칙을 적용할 수 있나요?","ANSWER":"예. case-by-case 모드를 사용해 필드별로 배열을 결합하거나, 문자열로 변환하거나, 축약할 수 있습니다."},{"QUESTION":"이 도구가 최고의 JSON to CSV 변환기 중 하나인 이유는 무엇인가요?","ANSWER":"사용자가 실제로 어려움을 겪는 복잡한 사례를 처리하도록 설계되었기 때문입니다: 중첩 JSON, 여러 후보 배열, 선택적 flatten, 배열별 규칙, 대용량 파일, live preview, 그리고 더 나은 privacy를 위한 로컬 처리까지 지원합니다."}],"OTHER_TOOLS_DESC":"JSON을 변환한 뒤 다른 유틸리티가 필요하신가요? 이 도구들은 구조화된 비교와 감사 친화적인 diff 같은 인접한 데이터 workflow를 지원합니다."},"ToolsCsvDiff":{"PAGE_TITLE":"CSV Diff 도구","PAGE_DESC":"두 개의 CSV 파일을 비교하고, 추가·삭제·변경된 행을 감지하며, 셀 단위 차이를 미리 보고, join 및 key column 설정을 선택하고, 브라우저에서 결과를 다운로드할 수 있는 무료 온라인 CSV diff 도구입니다.","SCHEMA_NAME":"Datablist CSV Diff 도구","SCHEMA_DESC":"브라우저 내 처리와 다운로드 가능한 diff CSV 출력이 가능한, 추가·삭제·변경·미변경 행 비교용 무료 온라인 CSV 비교 도구입니다.","TOOL":{"ERROR_MISSING_SOURCE":"비교하려면 두 개의 CSV 파일을 모두 업로드하세요.","FILE_EMPTY_HELP":"파일을 업로드하거나 드롭하세요","FILE_EMPTY_NAME":"CSV 파일을 선택하세요","FILE_LOADED":"로드됨","HELP_TEXT":"두 개의 CSV 파일을 업로드하고, 행을 어떻게 매칭할지 선택한 다음, 여기에서 diff를 미리 확인하세요. 모든 작업은 브라우저에서 로컬로 실행됩니다.","ORIGINAL_FILE_DESC":"이전 export, 스냅샷 또는 기준 파일입니다.","ORIGINAL_FILE_TITLE":"원본 CSV","OVERLAY_DESC":"먼저 원본 파일을 드롭한 다음, 업데이트된 파일을 드롭하세요.","OVERLAY_TITLE":"여기에 CSV 파일을 드롭하세요","STATUS_COMPARISON_FAILED":"비교에 실패했습니다","STATUS_FILES_READY":"파일이 로드되었습니다. 비교할 준비가 되었습니다.","STATUS_PREVIEW_READY":"미리보기가 준비되었습니다","STATUS_WAITING":"diff를 미리 보려면 두 개의 CSV 파일을 업로드하세요.","SUBMIT_LABEL":"CSV 파일 비교","UPDATED_FILE_DESC":"원본과 비교할 최신 export 파일입니다.","UPDATED_FILE_TITLE":"업데이트된 CSV","UI":{"COLUMNS_MAPPING":"열 매핑","MAP_COLUMNS_THAT_CONTAIN_THE_SAME_DATA_WHEN":"두 CSV 파일에서 서로 다른 열 이름을 사용하더라도 동일한 데이터가 포함된 열을 매핑합니다.","ONLY_MAPPED_COLUMNS_ARE_USED_FOR_MATCHING_AND":"매핑된 열만 매칭 및 비교에 사용됩니다. 매핑되지 않은 열은 행을 펼치면 계속 표시됩니다.","ORIGINAL_COLUMN":"원본 열","DO_NOT_COMPARE_THIS_COLUMN":"이 열을 비교하지 않음","UNMAPPED_UPDATED_ONLY_COLUMNS":"업데이트된 파일에만 있는 매핑되지 않은 열:","MATCHING":"매칭","CHOOSE_HOW_ROWS_SHOULD_BE_MATCHED_BETWEEN_THE":"원본 CSV 파일과 업데이트된 CSV 파일 간에 행을 매칭할 방식을 선택합니다.","ROW_MATCHING_MODE":"행 매칭 모드","USE_A_KEY_COLUMN_WHEN_BOTH_FILES_SHARE":"두 파일이 안정적인 식별자를 공유하는 경우 키 열을 사용합니다. 그렇지 않으면 전체 행 비교로 전환합니다.","AUTO_DETECT":"자동 감지","SELECTED_KEY_COLUMN":"선택한 키 열","MULTIPLE_KEY_COLUMNS":"여러 키 열","FULL_ROW_CONTENT":"전체 행 내용","CURRENT_MATCH_MODE":"현재 매칭 모드:","KEY_COLUMN":"키 열","AUTO_DETECT_PREFERS_COLUMNS_LIKE_ID_EMAIL_SKU":"자동 감지는 id, email, sku 또는 고유성이 높은 공통 필드와 같은 열을 우선합니다.","USE_DETECTED_SUGGESTION":"감지된 제안 사용","MULTIPLE_KEYS":"여러 키","COMBINE_SHARED_COLUMNS_WHEN_ONE_COLUMN_ALONE_IS":"하나의 열만으로 고유성을 충분히 확보할 수 없는 경우 공통 열을 조합합니다.","JOIN_TYPE":"조인 유형","FULL_OUTER_JOIN_SHOWS_EVERYTHING_INNER_JOIN_SHOWS":"Full outer join은 모든 항목을 표시합니다. Inner join은 매칭된 행만 표시합니다. Left join은 원본 행을 기준으로 유지합니다.","FULL_OUTER_JOIN":"Full outer join","INNER_JOIN":"Inner join","LEFT_JOIN":"Left join","COMPARISON":"비교","NORMALIZE_VALUES_BEFORE_DIFFING_TO_AVOID_NOISE_FROM":"형식만 변경되어 발생하는 불필요한 차이를 방지하도록 비교 전에 값을 정규화합니다.","IGNORE_COLUMN_ORDER":"열 순서 무시","WHEN_ENABLED_COLUMNS_ARE_ALIGNED_BY_NAME_INSTEAD":"활성화하면 열이 위치가 아닌 이름을 기준으로 정렬됩니다.","COMPARE_COLUMNS_BY_NAME":"열 이름을 기준으로 비교","IGNORE_WHITESPACE":"공백 무시","TRIM_LEADING_AND_TRAILING_WHITESPACE_BEFORE_COMPARING_CELL":"셀 값을 비교하기 전에 앞뒤 공백을 제거합니다.","TREAT_EXTRA_SPACES_AS_UNCHANGED":"추가 공백을 변경되지 않은 것으로 처리","IGNORE_CASE":"대소문자 무시","USEFUL_WHEN_THE_SAME_VALUES_APPEAR_WITH_MIXED":"동일한 값이 대문자와 소문자가 혼합된 형식으로 표시될 때 유용합니다.","COMPARE_TEXT_CASE_INSENSITIVELY":"대소문자를 구분하지 않고 텍스트 비교","EMPTY_AND_NULL_LIKE_VALUES":"빈 값 및 null 유사 값","TREAT_EMPTY_STRINGS_NULL_UNDEFINED_AND_SIMILAR_PLACEHOLDER":"빈 문자열, null, undefined 및 유사한 자리표시자 값을 동일하게 처리합니다.","NORMALIZE_EMPTY_AND_NULL_LIKE_VALUES":"빈 값 및 null 유사 값 정규화","OUTPUT":"출력","CHOOSE_WHAT_TO_EXPORT_AND_HOW_THE_DOWNLOADABLE":"내보낼 항목과 다운로드 가능한 CSV의 형식을 선택합니다.","OUTPUT_MODE":"출력 모드","SUMMARY_KEEPS_ONE_ROW_PER_RECORD_CHANGED_ROWS":"요약은 레코드당 하나의 행을 유지합니다. 변경된 행은 수정된 항목만 표시합니다. 전체 diff에는 값이 나란히 포함됩니다.","SUMMARY_CSV":"요약 CSV","CHANGED_ROWS_CSV":"변경된 행 CSV","FULL_DIFF_CSV":"전체 diff CSV","DOWNLOAD_SEPARATOR":"다운로드 구분자","CHOOSE_THE_DELIMITER_USED_IN_THE_DOWNLOADABLE_DIFF":"다운로드 가능한 diff CSV에 사용할 구분자를 선택합니다.","INCLUDE_UNCHANGED_ROWS":"변경되지 않은 행 포함","KEEP_UNCHANGED_ROWS_IN_THE_DOWNLOADABLE_OUTPUT_WHEN":"레코드별 전체 감사가 필요한 경우 다운로드 출력에 변경되지 않은 행을 유지합니다.","INCLUDE_UNCHANGED_ROWS_IN_EXPORT":"내보내기에 변경되지 않은 행 포함","INCLUDE_HEADER_ROW":"헤더 행 포함","INCLUDE_COLUMN_HEADERS_IN_THE_DOWNLOADABLE_CSV":"다운로드 가능한 CSV에 열 헤더를 포함합니다.","ADD_CSV_HEADER_ROW":"CSV 헤더 행 추가","CSV_DIFF":"CSV Diff","DIFF_PREVIEW":"Diff 미리보기","DOWNLOAD_DIFFERENCES_CSV":"차이점 CSV 다운로드","DATA_TABLE":"데이터 테이블","CHANGED_ROWS":"변경된 행","SEARCH_VISIBLE_ROWS":"표시된 행 검색","COMPARISON_ERROR":"비교 오류","LARGE_CSV_FILES_STAY_IN_YOUR_BROWSER_WHILE":"worker가 대용량 CSV 파일을 파싱하고 diff를 계산하는 동안 파일은 브라우저에만 유지됩니다.","PREVIEW_THE_CSV_DIFF_HERE":"여기에서 CSV diff를 미리 확인하세요","UPLOAD_TWO_CSV_FILES_CHOOSE_HOW_ROWS_SHOULD":"두 CSV 파일을 업로드하고 행 매칭 방식을 선택하면 이 테이블에 추가, 제거, 변경 및 변경되지 않은 행이 표시됩니다.","NO_ROWS_MATCH_THE_CURRENT_PREVIEW_FILTER":"현재 미리보기 필터와 일치하는 행이 없습니다.","STATUS":"상태","ROW_NUMBER":"행 번호","EXPLAIN_ROW_NUMBER_FORMAT":"행 번호 형식 설명","KEY":"키","LOAD_MORE_ROWS":"행 더 불러오기","END_OF_CURRENT_RESULT_SET":"현재 결과 세트의 끝입니다","WARNINGS":"경고","CHANGED":"변경됨","ADDED":"추가됨","REMOVED":"제거됨","UNCHANGED":"변경되지 않음","PROCESSING":"처리 중","ORIGINAL_SEPARATOR":"원본 구분자:","UPDATED_SEPARATOR":"업데이트된 파일의 구분자:","MATCHED_BY":"매칭 기준:","ORIGINAL_ROWS":"원본 행:","UPDATED_ROWS":"업데이트된 행:","SUMMARY":"요약","MAPPED_COLUMNS":"매핑된 열:","UNMAPPED_COLUMNS":"매핑되지 않은 열:","DUPLICATE_KEY_ROWS_FLAGGED":"표시된 중복 키 행:","PREVIEW_COLUMNS":"미리보기 열:","PARSING_ORIGINAL_CSV":"원본 CSV 파싱 중","PARSING_UPDATED_CSV":"업데이트된 CSV 파싱 중","MATCHING_ROWS":"행 매칭 중","COMPUTING_DIFFERENCES":"차이점 계산 중","FILTER_ALL":"전체","STATUS_ALL":"전체","FILTER_CHANGED":"변경됨","STATUS_CHANGED":"변경됨","FILTER_ADDED":"추가됨","STATUS_ADDED":"추가됨","FILTER_REMOVED":"제거됨","STATUS_REMOVED":"제거됨","FILTER_UNCHANGED":"변경되지 않음","STATUS_UNCHANGED":"변경되지 않음","COPIED":"복사됨","COPY_FAILED":"복사 실패","COPY_DIFFERENCES_CSV":"차이점 CSV 복사","FULL_ROW":"전체 행","FULL_ROW_CONTENT_2":"전체 행 내용","ROW_NUMBER_TOOLTIP":"{original}행 : {updated}행.","ORIGINAL_VALUE_HEADER":"{file} 원본","UPDATED_VALUE_HEADER":"{file} 업데이트","ROWS_CHANGED_PERCENT":"행의 {percent}%가 변경됨","NO_CELL_CHANGES":"셀 변경 사항 없음","NO_CHANGED_CELLS":"변경된 셀이 없습니다.","SHOWING_ROWS":"총 {total}개 행 중 {visible}개 표시","SEPARATOR_OPTION_COMMA":"쉼표 (,)","SEPARATOR_COMMA":"쉼표","SEPARATOR_OPTION_SEMICOLON":"세미콜론 (;)","SEPARATOR_SEMICOLON":"세미콜론","SEPARATOR_OPTION_PIPE":"파이프 (|)","SEPARATOR_PIPE":"파이프","SEPARATOR_OPTION_TAB":"탭 (\\t)","SEPARATOR_TAB":"탭","ROW_ONLY_UPDATED":"이 행은 업데이트된 CSV에만 있습니다.","ROW_ONLY_ORIGINAL":"이 행은 원본 CSV에만 있습니다.","COLUMN_NEW":"새 열","COLUMN_DELETED":"삭제된 열","COLUMNS_CHANGED":"{count, plural, one {#개 열 변경됨} other {#개 열 변경됨}}","COLUMN_SAME":"동일함"}},"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":"실제 비즈니스 데이터를 위한 온라인 CSV diff","HERO_DESC":"이 CSV 비교 도구는 이전/최신 export, CRM 스냅샷, 제품 카탈로그, lead 리스트를 위해 설계되었습니다. 노이즈가 많은 줄 단위 텍스트 diff를 보여주는 대신, 데이터를 기준으로 행을 비교하고, id 또는 email로 행을 매칭할 수 있도록 도우며, 실제로 변경된 셀을 강조 표시합니다.","EXAMPLE":{"TITLE":"예시: id 기준으로 두 개의 CSV export 비교","DESCRIPTION":"이것은 이전 export와 최신 export를 비교하는 일반적인 workflow입니다. 한 행은 변경되지 않고, 한 행은 변경되며, 한 행은 사라지고, 하나의 새 행이 나타납니다.","DIFF_LABEL":"Diff 결과"},"MATCHING":{"TITLE":"key column 기준으로 CSV 행 비교","PARAGRAPHS":["온라인에서 두 개의 CSV 파일을 비교하는 가장 좋은 방법은 보통 `id`, `email`, `sku`, `uuid`와 같은 안정적인 key를 기준으로 행을 매칭하는 것입니다. 도구는 이러한 column을 찾으면 가능성이 높은 key column을 자동으로 제안하지만, 직접 변경하거나 여러 key column을 선택하거나 전체 행 비교로 전환할 수도 있습니다.","이 기능은 파일에 동일한 레코드가 서로 다른 순서로 들어 있거나, export 사이에 column 순서가 재배치된 경우 특히 유용합니다."]},"STATUSES":{"TITLE":"추가됨, 삭제됨, 변경됨, 변경 없음 행","PARAGRAPHS":["diff 결과는 행을 추가됨, 삭제됨, 변경됨, 변경 없음의 네 가지 실용적인 상태로 구분합니다. 변경된 행의 경우, 미리보기에서 어떤 column이 변경되었는지와 이전 값 대비 새 값을 확인할 수 있습니다.","이 때문에 이 도구는 특히 비기술 팀에게 무엇이 바뀌었는지 설명해야 할 때, 단순한 CSV 텍스트 diff보다 훨씬 유용합니다."]},"ADVANCED_TITLE":"더 정밀한 비교를 위한 고급 CSV diff 설정","ADVANCED_DESC":"대부분의 온라인 CSV diff 도구는 기본 compare 버튼에서 멈춥니다. 이 도구는 key column 기준 CSV 비교, 행 join 방식 조정, 서식만 다른 차이 무시, 다운로드할 정확한 diff 출력 선택이 필요할 때 더 많은 제어 기능을 제공합니다.","DETAIL_CARDS":[{"TITLE":"Join 유형: full outer join, inner join, 또는 left join","PARAGRAPHS":["Join 유형은 최종 CSV diff에 어떤 행이 표시될지를 정의합니다. full outer join이 기본값인 이유는 모든 것을 보여주기 때문입니다: 매칭된 행, 추가된 행, 삭제된 행. inner join은 두 파일에 모두 존재하는 행만 유지합니다. left join은 원본 CSV를 기준으로 유지하며, 주로 어떤 원본 레코드가 변경되었거나 사라졌는지 확인하고 싶을 때 유용합니다.","이는 “full outer join CSV compare” 또는 “removed rows를 포함해 old/new CSV file compare” 같은 검색에 특히 도움이 됩니다. join 모드에 따라 diff의 의미가 달라지기 때문입니다."]},{"TITLE":"id, email, SKU 및 multi-key 비교를 위한 key column 매칭","PARAGRAPHS":["CSV를 id, email, SKU, uuid 또는 다른 식별자로 비교하려면, key column 설정이 결과의 신뢰성을 결정합니다. 도구는 줄 순서로 행을 매칭하는 대신 선택한 key를 기준으로 레코드를 매칭하므로, column 재정렬이나 행 이동이 잘못된 차이를 만들지 않습니다.","하나의 필드만으로는 충분히 고유하지 않을 때는 여러 key column을 함께 사용할 수도 있습니다. 따라서 이 도구는 “compare CSV by key column” 또는 “compare CSV files by multiple columns” 같은 보다 고급 검색에도 유용합니다."]},{"TITLE":"whitespace, 대소문자, null 유사 값을 무시하는 비교 설정","PARAGRAPHS":["실제 export는 종종 서식 차이만 존재하는 경우가 많습니다. 한 파일에는 추가 공백, 대문자 텍스트, 또는 `null`, `N/A`, 빈 문자열 같은 placeholder 값이 포함될 수 있습니다. 비교 설정을 사용하면 diff 계산 전에 whitespace 차이를 무시하고, 대소문자를 무시하며, 빈 값과 null 유사 값을 동일하게 처리할 수 있습니다.","이 옵션은 사용자가 단순한 텍스트 diff가 아닌 더 고급 CSV 비교 도구를 찾을 때 중요합니다. 노이즈를 줄이고 미리보기를 실제 데이터 변경에 집중할 수 있도록 도와줍니다."]},{"TITLE":"출력 형식: summary CSV, changed rows CSV, 또는 full diff CSV","PARAGRAPHS":["일부 workflow는 행 상태와 key가 포함된 간단한 summary만 필요합니다. 다른 경우에는 변경된 행만 담은 CSV나 원본 값과 업데이트된 값이 나란히 포함된 full diff CSV가 필요합니다. 출력 설정을 통해 해당 형식을 선택하고, 구분자를 지정하며, 변경되지 않은 행을 export 파일에 유지할지 결정할 수 있습니다.","이로 인해 이 도구는 많은 무료 온라인 CSV diff 도구보다 더 유연합니다. export된 결과를 audit, 비즈니스 리뷰, reconciliation workflow 또는 후속 스프레드시트 작업에 맞게 조정할 수 있기 때문입니다."]},{"TITLE":"대용량 CSV 파일 온라인 비교","PARAGRAPHS":["이 도구는 브라우저에서 모든 행을 렌더링하려 하지 않고도 대용량 CSV 파일을 온라인으로 비교할 수 있도록 설계되었습니다. 전체 summary count를 계산하고, 미리보기는 관리 가능한 샘플로 제한하면서도, 이후 전체 diff 결과를 다운로드할 수 있도록 합니다.","대용량 export를 위한 무료 CSV diff 도구가 필요하다면, 이 대용량 파일 workflow가 바로 이 페이지의 핵심입니다."]},{"TITLE":"다양한 CSV 인코딩 지원","PARAGRAPHS":["실제 CSV 파일은 항상 일반 UTF-8로 저장되지는 않습니다. 이 도구는 UTF-8, BOM 포함 UTF-8, UTF-16 LE, UTF-16 BE, Windows-1252, Latin-1 스타일 파일을 포함한 일반적인 스프레드시트 및 export 인코딩을 처리할 수 있도록 설계되었습니다.","이는 Excel, 오래된 비즈니스 소프트웨어, 또는 그렇지 않으면 액센트 문자가 깨지거나 읽을 수 없는 문자로 열리는 지역별 export에서 생성된 파일에 대해 온라인 CSV diff가 필요할 때 중요합니다."]},{"TITLE":"diff 데이터 테이블의 행 번호","PARAGRAPHS":["key column 기준으로 CSV 파일을 비교할 때, diff 데이터 테이블은 매칭된 각 레코드의 원본 행 번호도 표시할 수 있습니다. 행이 같은 위치에 유지되었다면 하나의 행 번호가 보입니다. 레코드가 이동했다면, 각 파일에서 추적할 수 있도록 두 개의 행 번호가 모두 표시됩니다.","이는 무엇이 변경되었는지뿐 아니라 해당 행이 원본 CSV와 업데이트된 CSV의 정확히 어디에서 왔는지 설명해야 하는 audit, reconciliation 작업, support 사례에 유용합니다."]},{"TITLE":"브라우저 기반의 비공개 처리","PARAGRAPHS":["CSV 파일은 브라우저 내에서 파싱되고 비교됩니다. 이는 고객 export, 매출 스냅샷, 재고 데이터 또는 사용자의 장치에 그대로 남아 있어야 하는 기타 민감한 스프레드시트를 다룰 때 중요합니다.","또한 결과를 확인하기 전에 서버 측 업로드 단계를 거칠 필요가 없으므로 온라인 CSV diff 경험이 더 빨라집니다."]}],"FAQ_TITLE":"FAQ","FAQ_ITEMS":[{"QUESTION":"온라인에서 두 개의 CSV 파일을 어떻게 비교하나요?","ANSWER":"원본 CSV와 업데이트된 CSV를 업로드하고, 행을 어떻게 매칭할지 선택한 다음, diff 미리보기를 검토하고, summary 또는 full diff CSV를 다운로드하면 됩니다. 보통 id, email 또는 다른 안정적인 key로 매칭하면 가장 명확한 결과를 얻을 수 있습니다."},{"QUESTION":"id 기준으로 CSV 파일을 비교할 수 있나요?","ANSWER":"예. 이 도구는 key column 기준으로 CSV 행을 비교하도록 설계되었습니다. id, email, sku, key, uuid 같은 column을 자동 제안할 수 있으며, 하나의 column만으로 충분하지 않을 때는 여러 key column을 선택할 수도 있습니다."},{"QUESTION":"column 순서가 바뀌면 어떻게 되나요?","ANSWER":"기본 동작은 단순히 위치가 아니라 column 이름을 기준으로 비교합니다. 즉, 두 파일에 동일한 이름의 column이 존재하면 column 순서가 바뀌어도 잘못된 차이가 생기지 않습니다."},{"QUESTION":"CSV diff에서 join 유형은 무엇을 의미하나요?","ANSWER":"Join 유형은 결과에 어떤 행이 포함될지를 제어합니다. full outer join은 매칭된 행, 추가된 행, 삭제된 행을 포함합니다. inner join은 두 파일 모두에서 발견되는 행만 포함합니다. left join은 원본 CSV를 기준으로 유지하고, 업데이트된 파일에만 존재하는 행은 제외합니다."},{"QUESTION":"whitespace나 대소문자 차이를 무시할 수 있나요?","ANSWER":"예. 비교 설정에서 whitespace를 무시하고, 대소문자를 무시하며, 빈 값 또는 null 유사 값을 동일하게 처리할 수 있습니다. 이를 통해 서식상의 노이즈가 아니라 실제 데이터 변경을 찾는 데 도움이 됩니다."},{"QUESTION":"어떤 CSV 인코딩이 지원되나요?","ANSWER":"이 도구는 UTF-8, BOM 포함 UTF-8, UTF-16 LE, UTF-16 BE, Windows-1252, Latin-1 스타일 파일을 포함한 일반적인 CSV 인코딩과 호환됩니다. 이는 Excel, 레거시 소프트웨어, 비 UTF-8 비즈니스 시스템의 CSV export를 처리하는 데 도움이 됩니다."},{"QUESTION":"diff에서 행 번호를 볼 수 있나요?","ANSWER":"예. 행이 key column으로 매칭되면, diff 데이터 테이블에서 두 파일의 행 번호를 표시할 수 있습니다. 각 파일에서 레코드가 서로 다른 줄 번호에 있으면 두 행 번호가 모두 표시되어 원본 CSV로 추적할 수 있습니다."},{"QUESTION":"어떤 출력 형식을 사용할 수 있나요?","ANSWER":"summary CSV, changed rows CSV, 또는 full diff CSV를 export할 수 있습니다. 출력 설정에서는 구분자와 변경되지 않은 행을 포함할지도 선택할 수 있습니다."},{"QUESTION":"대용량 CSV 파일도 비교할 수 있나요?","ANSWER":"예. 페이지의 반응성을 유지하기 위해 미리보기는 제한되지만, count 계산과 다운로드를 위한 full diff는 계속 계산됩니다. 따라서 단순히 DOM에 많은 행을 렌더링하는 viewer보다 더 큰 export에도 적합합니다."},{"QUESTION":"이 CSV 비교 도구는 무료인가요?","ANSWER":"예. 이 페이지는 무료 온라인 CSV diff 도구입니다. 데스크톱 설치 없이도 온라인에서 CSV 파일을 비교하고, 차이를 확인하고, 결과를 다운로드할 수 있습니다."}],"OTHER_TOOLS_DESC":"두 개의 CSV 파일을 비교한 뒤 다른 데이터 유틸리티가 필요하신가요? 이 도구들은 인접한 정리 및 변환 workflow를 위해 설계되었습니다."},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV 행 분할기 — 구분자로 CSV 행 분할/확장","PAGE_DESC":"구분자로 CSV 행을 분할하는 무료 온라인 도구입니다. 컬럼을 선택하고 구분자를 지정하면, 여러 값을 담은 셀을 값당 한 행으로 확장할 수 있습니다. 대용량 파일도 지원하며, 모든 작업은 브라우저 내에서 처리됩니다.","SCHEMA_NAME":"Datablist CSV 행 분할기","SCHEMA_DESC":"무료 온라인 CSV 행 분할기입니다. 컬럼과 구분자를 선택해 여러 값을 담은 셀을 개별 행으로 분할합니다. 완전한 브라우저 기반으로 동작하며 대용량 파일도 처리할 수 있습니다.","TOOL":{"CHARS":"문자","COLUMN_HELP":"각 셀에 여러 값이 들어 있는 열을 선택하세요.","COLUMN_LABEL":"분할할 열","COPY_ARIA":"CSV 복사","COPY_DONE_LABEL":"복사됨!","DELIMITER_CUSTOM_HINT":"또는 사용자 지정 구분자를 입력하세요","DELIMITER_HELP":"셀 내부의 값을 구분하는 데 사용되는 문자입니다.","DELIMITER_LABEL":"셀 구분자","EMPTY_SOURCE_LABEL":"CSV를 붙여넣거나 파일을 업로드하세요","ERROR_MISSING_SOURCE":"먼저 CSV 데이터를 붙여넣거나 CSV 파일을 업로드하세요.","NO_PREVIEW_DESC":"CSV를 업로드하거나 데이터를 붙여넣은 뒤 행 분할을 클릭하세요.","NO_PREVIEW_TITLE":"아직 미리보기가 없습니다","OPTIONS_DUPLICATES_DESC":"셀 안의 각 값에서 첫 번째 항목만 유지합니다.","OPTIONS_DUPLICATES_LABEL":"중복 제거","OPTIONS_HEADER":"옵션","OPTIONS_SKIP_EMPTY_DESC":"분할 후 비어 있게 되는 행은 제거합니다.","OPTIONS_SKIP_EMPTY_LABEL":"빈 값 건너뛰기","OPTIONS_TRIM_DESC":"각 값의 앞뒤 공백을 제거합니다.","OPTIONS_TRIM_LABEL":"공백 제거","OVERLAY_DESC":"파일은 로컬에서 파싱되며 즉시 미리보기됩니다.","OVERLAY_TITLE":"여기에 CSV 파일을 놓으세요","PASTE_LABEL":"CSV 붙여넣기","PASTED_LABEL":"붙여넣은 CSV","PREVIEW_LIMIT":"{total}개 행 중 {count}개","PREVIEW_SPLIT_BADGE":"분할","ROWS_AFTER":"분할 후 행 수","ROWS_BEFORE":"분할 전 행 수","STATUS_FAILED":"처리에 실패했습니다","STATUS_PREVIEW_READY":"미리보기가 준비되었습니다","STATUS_PROCESSING":"CSV 처리 중…","STATUS_WAITING":"입력을 기다리는 중","SUBMIT_LABEL":"행 분할","TRUST_BROWSER":"브라우저에서 처리됨","TRUST_LARGE_FILES":"대용량 CSV 파일도 지원","TRUST_NO_UPLOAD":"서버에 업로드하지 않음","DELIMITERS":{"COMMA":"쉼표 ,","SEMICOLON":"세미콜론 ;","PIPE":"파이프 |","TAB":"탭 \\t"},"CUSTOM_DELIMITER":"사용자 지정…","PASTE_PLACEHOLDER":"이름,이메일\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":"전체 {total}개 행 중 {count}개를 표시하고 있습니다. 모든 행을 확인하려면 CSV를 다운로드하세요."},"KEYWORDS":["구분자로 csv 행 분할","csv에서 컬럼을 여러 행으로 분할","excel에서 셀을 여러 행으로 분할","csv 데이터 정규화","csv 다중값 셀 정규화","csv utf-8 utf-16 windows-1252","csv latin-1 인코딩 도구","csv 행 확장","csv 다중값 컬럼 unpivot","쉼표로 구분된 값을 행으로 분할","csv explode column","csv 컬럼 unnest","셀당 여러 값을 tidy data로 정리","csv 컬럼 flatten","excel에서 쉼표로 구분된 값을 여러 행으로 분할","한 셀에 여러 값이 있는 csv 정규화 방법","온라인에서 다중값 셀을 csv 행으로 변환","한 셀의 emails를 여러 행으로 분할","datablist 도구"],"HERO_TITLE":"구분자로 CSV 행 분할 — 몇 초 만에. Excel 수식 없이.","HERO_DESC":"CRM에서 contacts를 export했는데 모든 emails가 쉼표로 구분되어 한 셀에 들어 있었습니다. 저는 email 하나당 한 행이 필요했습니다. Excel로는 너무 번거로웠고, 이 도구로는 10초면 끝났습니다.","WHY_TITLE":"다중값 셀 분할이 중요한 이유","WHY_DESC":"CRM, 이커머스 플랫폼, 설문조사 export 파일은 여러 값을 하나의 셀에 담아 내보내는 경우가 많습니다. 태그, emails, 전화번호, 카테고리 등이 구분자 뒤에 한꺼번에 들어갑니다. 정규화된 데이터는 import, 중복 제거, 필터링, enrichment가 훨씬 쉽습니다. 대부분의 도구는 값 하나당 한 행 구조를 기본으로 기대합니다.","INTRO_CARDS":[{"TITLE":"CSV에서 하나의 컬럼을 여러 행으로 분할","PARAGRAPHS":["이 도구는 CSV에서 하나의 컬럼을 여러 행으로 분할해야 할 때 사용합니다. 하나의 셀에 여러 emails, 태그, 전화번호, 카테고리, 스킬 또는 ID가 구분자로 나뉘어 들어 있는 파일을 위해 만들어졌습니다.","다른 시스템에 파일을 import하기 전에 CSV 데이터를 정규화하고, CSV 다중값 셀을 정리하는 가장 빠른 방법 중 하나입니다. 하나의 레코드에 여러 값을 유지하는 대신, CSV의 행을 확장해 각 값이 각각의 행을 갖도록 만듭니다."]},{"TITLE":"Excel에서 셀을 여러 행으로 분할하는 방법","PARAGRAPHS":["많은 사용자가 Excel에서 셀을 여러 행으로 분할하는 방법, 또는 Excel에서 쉼표로 구분된 값을 여러 행으로 분할하는 방법을 찾습니다. CSV 파일의 경우, 이 온라인 도구는 수식을 만들거나 Power Query를 사용하거나 행을 수동으로 복사하는 것보다 보통 더 빠릅니다.","CSV를 붙여넣거나 업로드하고, 컬럼을 선택하고, 구분자를 확인한 뒤 결과를 다운로드하면 됩니다. 다중값 셀을 온라인에서 CSV 행으로 변환하는 것이 목적이라면, 이 페이지는 바로 그 workflow를 위해 만들어졌습니다."]}],"EXAMPLES":{"EMAILS":{"TITLE":"예시: 여러 email이 있는 contacts를 email당 한 행으로 분할","DESCRIPTION":"일반적인 CRM export에서는 하나의 contact에 대한 모든 email이 하나의 셀에 들어 있습니다. 분할을 하면 각 contact가 개별 행으로 확장되어 어떤 도구로든 import할 수 있습니다.","INPUT_LABEL":"CSV 입력","OUTPUT_LABEL":"CSV 출력"},"TAGS":{"TITLE":"예시: 제품 태그를 개별 행으로 explode","DESCRIPTION":"제품 카탈로그는 여러 태그를 하나의 셀에 담는 경우가 많습니다. 분할하면 필터링, 그룹화 또는 분석에 바로 사용할 수 있는 태그당 한 행 구조로 정리됩니다.","INPUT_LABEL":"CSV 입력","OUTPUT_LABEL":"CSV 출력"}},"SETTINGS_CARDS":[{"TITLE":"도구가 CSV 행을 분할하는 방식","ITEMS":[{"TITLE":"분할할 컬럼","BODY":"하나의 셀 안에 여러 값이 들어 있는 컬럼을 선택하세요. 다른 모든 컬럼은 새로 생성된 행에 그대로 복제됩니다. 현재 버전에서는 한 번에 하나의 컬럼만 확장할 수 있습니다."},{"TITLE":"셀 구분자","BODY":"셀 내부의 값을 나누는 문자입니다 — CSV 컬럼 구분자와는 다릅니다. 일반적으로 쉼표, 세미콜론, 파이프, 탭을 많이 사용합니다. 도구는 데이터에 맞는 구분자를 제안합니다."},{"TITLE":"공백 제거","BODY":"기본적으로 활성화되어 있습니다. 분할 후 각 값의 앞뒤 공백을 제거합니다. 값이 \",\"가 아니라 \", \"처럼 구분되어 있을 때 특히 유용합니다."}]},{"TITLE":"고급 옵션","ITEMS":[{"TITLE":"중복 제거","BODY":"셀에 `a,a,b`가 들어 있을 때 이 옵션을 활성화하면 `a`는 하나만 유지되고, 세 행 대신 두 행이 생성됩니다. 원본 데이터에 실수로 같은 값이 반복된 경우 유용합니다."},{"TITLE":"빈 값 건너뛰기","BODY":"분할 결과 빈 문자열이 생길 경우, 예를 들어 `a,b,`처럼 마지막에 구분자가 있는 경우 이 옵션은 빈 행을 만들지 않고 해당 빈 값을 제거합니다."},{"TITLE":"빈 셀은 기본적으로 유지됨","BODY":"셀이 완전히 비어 있으면 해당 행은 원래 상태로 유지됩니다. 실제로 구분자가 포함된 셀만 확장됩니다."}]}],"INFO_CARDS":[{"TITLE":"대용량 CSV 파일 지원","PARAGRAPHS":["분할을 수행하면 행 수가 늘어나며, 경우에 따라 크게 증가할 수 있습니다. 예를 들어 5,000행 파일에서 셀당 평균 3개의 값이 있으면 15,000행이 됩니다. 이 도구는 이런 경우도 무리 없이 처리합니다.","브라우저 반응성을 유지하기 위해 미리보기에는 출력 결과의 처음 100행만 표시됩니다. 분할 결과가 올바른지 확인한 뒤 전체 CSV를 다운로드할 수 있습니다."]},{"TITLE":"여러 CSV 인코딩과 호환","PARAGRAPHS":["스프레드시트나 레거시 export에서 생성된 CSV 파일은 항상 같은 방식으로 인코딩되지 않습니다. 이 도구는 UTF-8, BOM 포함 UTF-8, UTF-16 LE, UTF-16 BE, Windows-1252, Latin-1 형식 파일 등 일반적인 CSV 인코딩을 지원합니다.","따라서 액센트 문자, 특수문자 또는 기본 온라인 도구에서 자주 깨지는 오래된 export 형식이 포함된 CSV 파일을 분할해야 할 때 더 안정적으로 사용할 수 있습니다."]},{"TITLE":"파일은 브라우저를 벗어나지 않습니다","PARAGRAPHS":["모든 파싱과 분할 작업은 Web Worker를 사용해 브라우저 내 로컬에서 처리됩니다. 파일이 서버로 업로드되지 않습니다. 고객 데이터, CRM export 또는 민감한 contact 목록을 다룰 때 특히 중요합니다.","이 도구는 무료로 사용할 수 있으며 계정이 필요 없습니다."]}],"USE_CASES_TITLE":"이 도구를 사용해야 하는 경우","USE_CASES":[{"TITLE":"쉼표로 구분된 값을 행으로 분할","BODY":"하나의 셀 안의 `a,b,c`를 세 개의 개별 행으로 변환합니다 — CRM 및 이커머스 export에서 가장 흔한 사용 사례입니다."},{"TITLE":"셀당 여러 email이 있는 CSV 정규화","BODY":"한 사람에게 여러 emails가 하나의 컬럼에 담겨 있는 contact 목록을 확장해, 각 email이 개별 행을 갖도록 만듭니다."},{"TITLE":"여러 값을 가진 컬럼을 행으로 분할","BODY":"하나의 CSV 컬럼이 한 셀 안에 여러 값을 저장하고 있다면, 이를 개별 행으로 확장해 import, 필터링, 분석이 더 쉬운 파일로 만듭니다."},{"TITLE":"태그와 카테고리 explode","BODY":"제품 카탈로그, 블로그 게시물, 지원 티켓은 하나의 필드에 여러 태그를 저장하는 경우가 많습니다. 분석 전에 이를 정규화하세요."},{"TITLE":"전화번호 unnest","BODY":"contacts에 여러 전화번호가 한 셀에 들어 있는 경우, 이를 개별 행으로 분할하면 dialer 또는 CRM으로 더 깔끔하게 import할 수 있습니다."},{"TITLE":"중복 제거를 위한 tidy data 준비","BODY":"값 하나당 한 행은 tidy data의 표준입니다. 분할 후 Datablist를 사용해 결과를 deduplicate하고, 필터링하고, enrich할 수 있습니다."},{"TITLE":"import용 데이터 준비","BODY":"대부분의 CRM 및 마케팅 플랫폼은 값 하나당 한 행 구조를 기대합니다. 데이터 import 또는 enrichment 전, 분할은 종종 첫 번째 단계입니다."}],"VOCABULARY":{"TITLE":"CSV explode, unnest, flatten 또는 unpivot","PARAGRAPHS":["도구마다 이 변환을 설명하는 방식이 다릅니다. CSV explode column 도구를 찾고 있을 수도 있고, CSV 컬럼을 unnest하는 방법, CSV 컬럼을 flatten하는 방법, 또는 CSV 다중값 컬럼 unpivot workflow를 찾고 있을 수도 있습니다.","실제로 목표는 같습니다. 셀당 여러 값을 가진 데이터를 정리해 값 하나가 한 행이 되도록 만드는 것입니다. 이 구조는 join, deduplicate, group, enrich, export가 더 쉽습니다."]},"FAQ_TITLE":"자주 묻는 질문","FAQ_ITEMS":[{"QUESTION":"셀 구분자로 세미콜론을 사용할 수 있나요?","ANSWER":"예. 이 도구는 쉼표, 세미콜론, 파이프, 탭 및 사용자 지정 구분자를 지원합니다. 또한 컬럼을 선택하면 데이터에 맞는 구분자를 자동 감지하려고 시도합니다."},{"QUESTION":"대용량 CSV 파일에서도 작동하나요?","ANSWER":"예. 분할은 Web Worker 내부에서 처리되므로 브라우저를 멈추게 하지 않습니다. 미리보기는 100행으로 제한되지만, 파일에 수만 행이 있어도 전체 출력 결과는 다운로드할 수 있습니다."},{"QUESTION":"내 데이터가 서버에 업로드되나요?","ANSWER":"아니요. 모든 작업은 브라우저 내 로컬에서 실행됩니다. CSV는 어떤 서버로도 전송되지 않습니다. 따라서 고객 데이터, 내부 export, 또는 업로드하고 싶지 않은 모든 데이터에 안전합니다."},{"QUESTION":"어떤 CSV 인코딩을 지원하나요?","ANSWER":"이 도구는 UTF-8, BOM 포함 UTF-8, UTF-16 LE, UTF-16 BE, Windows-1252, Latin-1 형식 파일 등 일반적인 CSV 인코딩과 호환됩니다. 따라서 Excel, 오래된 소프트웨어 또는 액센트 문자가 포함된 export에서 생성된 CSV도 더 수월하게 처리할 수 있습니다."},{"QUESTION":"구분자가 없는 셀은 어떻게 되나요?","ANSWER":"원래 상태로 유지됩니다. 실제로 구분자 문자가 포함된 셀만 여러 행으로 확장됩니다. 빈 셀도 기본적으로 유지됩니다."},{"QUESTION":"따옴표로 감싼 CSV 필드를 올바르게 처리하나요?","ANSWER":"예. 내부 CSV 파서는 따옴표로 감싼 필드를 올바르게 처리합니다. 예를 들어 \"mia.chen@example.test,mia@workmail.test\" 같은 값은 하나의 값으로 인식되며, CSV 구분자가 아니라 셀 구분자를 기준으로 분할됩니다."}],"CTA_TITLE":"분할 후 데이터를 deduplicate하거나 enrich해야 하나요?","CTA_DESC":"데이터가 정규화되어 값 하나당 한 행 구조가 되면, Datablist로 contacts를 쉽게 deduplicate하고, 외부 데이터로 enrich하고, 어떤 컬럼으로든 필터링하고, 깔끔한 최종 파일로 export할 수 있습니다.","CTA_LABEL":"Datablist 무료로 시작하기","OTHER_TOOLS_DESC":"CSV를 분할한 뒤 다른 데이터 유틸리티가 필요하신가요? 아래 도구들은 인접한 정리 및 변환 workflow를 지원합니다."},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — 행 수, 파일 크기, 값, 규칙 또는 날짜 기준으로 CSV 파일 분할","PAGE_DESC":"지저분한 실제 export 데이터를 위한 무료 온라인 CSV Splitter입니다. 컬럼을 자동 감지하고, 스마트한 분할 옵션을 제안하며, 출력 파일을 미리보기로 확인하고, 브라우저에서 바로 CSV 또는 ZIP 결과를 다운로드할 수 있습니다.","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"행 수, 파일 크기, 그룹화된 값, 규칙, 날짜 범위를 기준으로 분할할 수 있는 무료 온라인 CSV splitter입니다. 전적으로 브라우저에서 실행되며, 여러 파일로 된 export 결과는 ZIP 아카이브로 다운로드됩니다.","TOOL":{"ANALYSIS_COLUMNS":"열","ANALYSIS_DELIMITER":"구분자","ANALYSIS_ENCODING":"인코딩","ANALYSIS_ROWS":"행","DOWNLOAD_ACTIVE_FILE":"현재 파일 다운로드","EMPTY_SOURCE_LABEL":"CSV를 업로드하거나 아래에 붙여넣으세요","ERROR_INVALID_ROWS_PER_FILE":"파일당 행 수는 0보다 큰 정수여야 합니다.","ERROR_LOAD_FILE":"이 CSV 파일을 불러올 수 없습니다.","ERROR_LOAD_PASTED_CSV":"붙여넣은 CSV를 읽을 수 없습니다.","ERROR_MISSING_RULES":"이 분할을 미리보기하기 전에 최소 1개의 규칙을 추가하세요.","ERROR_MISSING_SOURCE":"계속하기 전에 CSV를 붙여넣으세요.","ERROR_MISSING_SOURCE_FOR_PREVIEW":"먼저 CSV를 업로드하거나 붙여넣으세요.","ERROR_RULE_FILE_LABEL":"이 분할을 미리보기하기 전에 각 규칙에 대상 파일 이름이 필요합니다.","FILE_HINT":"CSV 구분자, 따옴표로 감싼 줄바꿈, 중복 헤더, 인코딩은 자동으로 처리됩니다.","LOAD_FIRST_DESC":"파일을 업로드하거나 CSV를 붙여넣은 다음, 계속하려면 분할 모드를 선택하세요.","LOAD_FIRST_TITLE":"먼저 CSV를 불러오세요","MODE_LOCKED_HINT":"이 분할 모드를 사용하려면 CSV를 업로드하거나 붙여넣으세요.","MODE_OPTIONS":[{"DESCRIPTION":"고정된 행 수로 파일을 생성합니다. 대부분의 export에 가장 안전한 기본 옵션입니다.","LABEL":"행 기준으로 분할","MODE":"rows"},{"DESCRIPTION":"다른 도구가 큰 CSV 파일을 거부할 때, 각 파일이 대략적인 업로드 제한 이하로 유지되도록 합니다.","LABEL":"파일 크기 기준으로 분할","MODE":"size"},{"DESCRIPTION":"국가, 담당자, 상태 또는 기타 반복되는 카테고리별로 파일을 하나씩 생성합니다.","LABEL":"열 값 기준으로 분할","MODE":"column_value"},{"DESCRIPTION":"국가, email 도메인, 회사 규모 같은 간단한 조건에 따라 행을 파일로 보냅니다.","LABEL":"규칙 기준으로 분할","MODE":"conditional"},{"DESCRIPTION":"날짜 열을 사용해 행을 월, 연도 또는 ISO 주차별로 그룹화합니다.","LABEL":"날짜 범위 기준으로 분할","MODE":"date_range"}],"PASTE_CARD_DESC":"빠른 테스트를 하거나 파일이 이미 클립보드에 있을 때 유용합니다.","PASTE_CARD_TITLE":"CSV 붙여넣기","PASTE_DROP_HINT":"붙여넣거나 파일을 드롭하세요","PASTED_LABEL":"붙여넣은 CSV","PREPARING_MODE_DESC":"이 모드는 설정을 표시하기 전에 더 깊은 열 스캔이 필요합니다.","PREPARING_MODE_TITLE":"이 분할 모드 준비 중","PREVIEW_AFTER_BUILD_DESC":"분할 모드를 선택하고 설정을 조정한 뒤, 다운로드 전에 출력 파일을 미리보세요.","PREVIEW_AFTER_BUILD_TITLE":"분할을 구성한 후 미리보기가 제공됩니다","PREVIEW_PANEL_DESC":"다운로드 전에 파일 수, 경고, 각 출력 결과의 미리보기를 검토하세요.","PREVIEW_PANEL_TITLE":"미리보기 및 다운로드","PREVIEW_SPLIT_LABEL":"분할 미리보기","READY_TO_SPLIT":"분할 준비 완료","STATUS_ANALYSIS_READY":"분석 준비 완료","STATUS_ANALYZING":"열 분석 중…","STATUS_BUILDING_PREVIEW":"분할 미리보기 생성 중…","STATUS_CHOOSE_MODE":"분할 모드를 선택하세요","STATUS_LOADING_PREVIEW":"파일 미리보기 불러오는 중…","STATUS_PREPARING_DOWNLOAD":"파일 다운로드 준비 중…","STATUS_PREPARING_ZIP":"ZIP 아카이브 준비 중…","STATUS_PREVIEW_READY":"미리보기 준비 완료","STATUS_READY_TO_SPLIT":"분할 준비 완료","STATUS_SETTINGS_READY":"설정을 조정하고 미리보세요","STATUS_UNABLE_LOAD_CSV":"CSV를 불러올 수 없음","STATUS_UNABLE_LOAD_FILE":"파일을 불러올 수 없음","STATUS_WAITING":"CSV 파일을 기다리는 중","STATUS_ZIP_READY":"ZIP 준비 완료","UPLOAD_CSV":"CSV 업로드","USE_CSV":"CSV 사용","UI":{"NAME_EMAIL_COUNTRY_10_ALICE_ALICE_EXAMPLE":"name,email,country\nAlice,alice@example.com,FR","ROWS_PER_FILE":"파일당 행 수","MAX_SIZE_PER_FILE_BYTES":"파일당 최대 크기(바이트)","USE_250000_FOR_ROUGHLY_250_KB_1000000":"약 250KB에는 250000을, 약 1MB에는 1000000을 사용하세요.","GOOD_WHEN_DOWNSTREAM_TOOLS_HAVE_UPLOAD_LIMITS":"후속 도구에 업로드 용량 제한이 있을 때 유용합니다","SIZE_BASED_CHUNKS_USE_EXACT_ROW_SIZES":"크기 기반 분할은 정확한 행 크기를 사용하지만, 행별 크기 차이가 크면 행 수 기반 분할보다 결과를 예측하기 어렵습니다.","SPLIT_BY_COLUMN_S":"열 기준으로 분할","USE_ONE_COLUMN_FOR_SIMPLE_SEGMENTATION_OR":"간단히 세분화하려면 하나의 열을 사용하고, 더 세분화된 결과가 필요하면 여러 열을 조합하세요.","LIMIT_OUTPUT_FILES":"출력 파일 수 제한","RULE_BUILDER":"규칙 빌더","RULES_RUN_IN_ORDER_CHOOSE_FIRST_MATCH":"규칙은 순서대로 실행됩니다. 첫 번째로 일치하는 규칙만 적용하거나, 행을 여러 파일에 포함할 수 있습니다.","ADD_RULE":"규칙 추가","RULE":"규칙","REMOVE":"제거","EQUALS":"같음","DOES_NOT_EQUAL":"같지 않음","CONTAINS":"포함","DOES_NOT_CONTAIN":"포함하지 않음","STARTS_WITH":"다음으로 시작","ENDS_WITH":"다음으로 끝남","GREATER_THAN":"초과","GREATER_THAN_OR_EQUAL":"이상","LESS_THAN":"미만","LESS_THAN_OR_EQUAL":"이하","IS_EMPTY":"비어 있음","IS_NOT_EMPTY":"비어 있지 않음","COMPARISON_VALUE":"비교 값","DESTINATION_FILE_NAME":"대상 파일 이름","THIS_IS_THE_FILE_THAT_WILL_RECEIVE":"이 규칙과 일치하는 행을 받을 파일입니다. 예: enterprise, gmail 또는 north-america.","EXAMPLE_ENTERPRISE":"예: enterprise","CASE_SENSITIVE":"대소문자 구분","DATE_COLUMN":"날짜 열","GROUP_BY":"그룹화 기준","MONTH":"월","YEAR":"연도","ISO_WEEK":"ISO 주","ADVANCED_SETTINGS":"고급 설정","USE_THESE_ONLY_WHEN_THE_SIMPLE_SETUP":"기본 설정만으로 충분하지 않을 때 사용하세요. 열 선택 및 세부 조정 옵션이 여기에 있습니다.","EXPORT_SETTINGS":"내보내기 설정","FILENAME_PATTERN":"파일 이름 패턴","USE_VARIABLES_LIKE_INDEX_AND_LABEL_EXAMPLE":"{index}, {label}과 같은 변수를 사용하세요. 예: batch-{index}-{label}","STARTING_NUMBER":"시작 번호","THE_FIRST_FILE_INDEX_USED_WHEN_INDEX":"파일 이름 패턴에 {index}가 포함될 때 사용할 첫 번째 파일 인덱스입니다.","COLUMNS_TO_KEEP_IN_THE_OUTPUT":"출력에 유지할 열","PROJECTION_HAPPENS_BEFORE_THE_SPLIT_IT_REDUCES":"열 선택은 분할 전에 적용됩니다. 파일 크기를 줄이고 내보낸 파일을 더 깔끔하게 유지합니다.","SELECT_ALL":"모두 선택","UNSELECT_ALL":"모두 선택 해제","ROW_SETTINGS":"행 설정","OVERLAP_ROWS":"중복 행 수","USEFUL_WHEN_BATCH_TOOLS_NEED_CONTEXT_IN":"배치 도구가 다음 파일에서 이전 맥락을 필요로 할 때 유용합니다.","SHUFFLE_ROWS":"행 순서 섞기","USEFUL_FOR_EXPERIMENTS_AND_SAMPLING":"실험 및 샘플링에 유용합니다.","KEEP_GROUPED_ROWS_TOGETHER":"그룹화된 행을 함께 유지","AVOID_BREAKING_THE_SAME_GROUP_ACROSS_FILES":"동일한 그룹이 여러 파일로 나뉘지 않도록 합니다.","GROUPING_COLUMN":"그룹화 열","CHOOSE_A_COLUMN":"열 선택","COLUMN_VALUE_SETTINGS":"열 값 설정","RARE_VALUE_HANDLING":"희소 값 처리","KEEP_EVERY_DISTINCT_VALUE":"모든 고유 값 유지","KEEP_TOP_N_VALUES_GROUP_THE_REST":"상위 N개 값을 유지하고 나머지는 그룹화","GROUP_BUCKETS_BELOW_A_ROW_THRESHOLD":"행 수 기준값 미만의 버킷 그룹화","TOP_N_VALUES_TO_KEEP":"유지할 상위 N개 값","MINIMUM_ROWS_PER_BUCKET":"버킷당 최소 행 수","OTHER_BUCKET_LABEL":"기타 버킷 레이블","ALSO_SPLIT_LARGE_GROUPS_BY_FILE_SIZE":"큰 그룹도 파일 크기 기준으로 분할","USEFUL_WHEN_ONE_SEGMENT_IS_MUCH_BIGGER":"한 세그먼트가 나머지보다 훨씬 클 때 유용합니다.","MAX_SIZE_PER_GROUPED_FILE_BYTES":"그룹화된 파일당 최대 크기(바이트)","RULE_SETTINGS":"규칙 설정","FIRST_MATCH_ONLY":"첫 번째 일치 항목만","TURN_THIS_OFF_TO_DUPLICATE_A_ROW":"하나의 행을 여러 출력에 복제하려면 이 옵션을 끄세요.","KEEP_UNMATCHED_ROWS_IN_A_SEPARATE_FILE":"일치하지 않는 행을 별도 파일에 유지","TURN_THIS_ON_IF_YOU_WANT_ROWS":"어떤 규칙과도 일치하지 않는 행을 별도로 내보내려면 이 옵션을 켜세요.","UNMATCHED_ROWS_FILE_NAME":"일치하지 않는 행의 파일 이름","THIS_NAME_IS_USED_FOR_THE_EXTRA":"어떤 규칙과도 일치하지 않는 행을 수집하는 추가 파일에 사용할 이름입니다.","DATE_SETTINGS":"날짜 설정","DATE_FORMAT":"날짜 형식","USE_A_FIXED_FORMAT_WHEN_THE_ANALYZER":"분석기가 형식을 잘못 추정한 경우 고정 형식을 사용하세요.","AUTO_DETECT":"자동 감지","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":"유효하지 않은 날짜","SEND_TO_A_SEPARATE_FILE":"별도 파일로 보내기","SKIP_INVALID_ROWS":"유효하지 않은 행 건너뛰기","INVALID_DATE_FILE_LABEL":"유효하지 않은 날짜 파일 레이블","COLUMN_TYPE_OVERRIDES":"열 유형 재정의","USE_THIS_WHEN_A_NUMBER_OR_DATE":"숫자 또는 날짜 열이 잘못 감지된 경우 사용하세요. 규칙 비교와 날짜 기반 분할에 영향을 줍니다.","DETECTED_AS":"감지된 유형","TEXT":"텍스트","NUMBER":"숫자","DATE":"날짜","COMMA_THOUSANDS_SEPARATOR":"쉼표 천 단위 구분 기호","DOT_THOUSANDS_SEPARATOR":"마침표 천 단위 구분 기호","SPACE_THOUSANDS_SEPARATOR":"공백 천 단위 구분 기호","APOSTROPHE_THOUSANDS_SEPARATOR":"아포스트로피 천 단위 구분 기호","NO_THOUSANDS_SEPARATOR":"천 단위 구분 기호 없음","ONLY":"만","ROWS_SHOWN_IN_PREVIEW":"개 행이 미리보기에 표시됨","PREVIEW_LOADS_ON_DEMAND_FOR_THIS_FILE":"이 파일의 미리보기는 요청 시 로드됩니다","LARGE_ROW_BASED_SPLITS_ONLY_PRELOAD_THE":"대규모 행 기반 분할에서는 빠른 미리보기를 위해 첫 번째 파일만 미리 로드합니다.","SUGGESTED_GROUPING_COLUMNS":"추천 그룹화 열","GROUPS":"개 그룹","LARGEST":"최대:","SMALLEST":"최소:","MEDIAN":"중앙값:","NO_STRONG_GROUPING_COLUMN_WAS_DETECTED_ROW":"적합한 그룹화 열이 감지되지 않았습니다. 이 파일에는 행 수 또는 크기 기반 분할이 더 안전한 기본 옵션입니다.","FILE_ANALYSIS":"파일 분석","DUPLICATE_HEADERS":"중복 헤더:","EMPTY_COLUMNS":"빈 열:","LARGE_TEXT_COLUMNS":"대용량 텍스트 열:","LEARN_MORE_ABOUT":"{title} 자세히 알아보기","SOMETHING_WENT_WRONG":"문제가 발생했습니다","TAB":"탭","DOWNLOAD_ZIP":"ZIP 다운로드","OUTPUT_FILES":"출력 파일","PROJECTED_COLUMNS":"선택된 출력 열","LARGEST_FILE":"가장 큰 파일","ZIP_SIZE":"ZIP 크기","ROWS_COUNT":"{count}개 행","OUTPUT_FILE_META":"{rows}개 행 · {size}","ROWS_SHOWN":"미리보기에 {count}개 행만 표시됨","GROUPS_COUNT":"{count}개 그룹","NONE":"없음"}},"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":"단순한 chunk 크기가 아니라 의미를 기준으로 CSV 파일 분할","HERO_DESC":"많은 CSV splitter 도구는 “1,000행마다 분할” 수준에서 멈춥니다. 하지만 실제 export 데이터는 훨씬 더 복잡합니다. 국가별로 파일 하나씩, 월별로 파일 하나씩, enterprise 계정용 파일 하나, 또는 아무 규칙에도 매칭되지 않은 행을 위한 fallback 파일이 필요할 때가 있습니다. 이 도구는 바로 그런 현실을 위해 만들어졌습니다.","INTRO_CARDS":[{"TITLE":"분할 전에 수행되는 스마트 분석","PARAGRAPHS":["이 도구는 인코딩, 구분자, 중복 헤더, 빈 컬럼, 대용량 텍스트 필드, 그리고 카디널리티가 낮은 그룹화용 컬럼을 자동으로 감지합니다. 덕분에 추측에 의존하지 않고, 실무에 맞는 분할 방식을 더 쉽게 선택할 수 있습니다.","또한 분할이 위험할 때 경고를 제공합니다. 예를 들어 출력 파일이 너무 많아지는 경우, 너무 작은 파일이 과도하게 생성되는 경우, 또는 하나의 거대한 bucket이 나머지를 압도하는 경우입니다."]},{"TITLE":"대규모 실제 CSV export를 위해 설계","PARAGRAPHS":["대용량 파일은 클라이언트 측에 그대로 유지됩니다. 다운로드 전에 결과를 미리보고, 필요한 컬럼만 남기고, 단일 파일 또는 여러 파일을 ZIP 아카이브로 export할 수 있습니다.","이 방식은 outreach 배치 처리, 국가별 handoff, CRM 정리, 컴플라이언스 검토, 월별 이력 데이터 분리에 특히 적합합니다."]}],"GUIDE_TITLE":"헷갈리기 쉬운 설정을 위한 가이드","GUIDE_DESC":"일부 분할 설정은 강력하지만, 처음 보면 바로 이해하기 어렵습니다. 도구 안의 도움말 아이콘을 클릭하면 아래의 해당 설명으로 바로 이동하므로, 분할을 미리보기 전에 각 설정이 실제로 무엇을 바꾸는지 이해할 수 있습니다.","GUIDES":[{"ID":"csv-splitter-help-rows","EXTRA_IDS":["csv-splitter-help-overlap","csv-splitter-help-grouped-rows","csv-splitter-help-size"],"ICON":"rows","TITLE":"행 수, overlap, 그리고 크기 기반 chunk","DESCRIPTION":"이 방식들은 가장 빠른 분할 모드이며, 단지 더 작은 파일이 필요한 경우 보통 가장 안전합니다.","PARAGRAPHS":["파일당 행 수는 각 출력 파일의 행 수를 대략 비슷하게 맞춥니다. downstream 도구가 카테고리나 의미보다 batch 크기를 더 중요하게 여길 때 가장 적합합니다.","Overlap rows는 파일 경계에서 몇 개의 행을 반복합니다. 다음 batch가 이전 batch의 약간의 문맥을 필요로 할 때만 사용하십시오.","그룹화된 행 함께 유지는 동일한 account, company 또는 order가 여러 파일로 나뉘지 않도록 합니다. 하나의 엔터티에 속한 행이 함께 유지되어야 할 때 중요합니다.","파일당 최대 크기는 업로드 제한이 있을 때 유용합니다. 바이트 기준 목표 이하로 맞추도록 시도하지만, 행 길이는 서로 다를 수 있으므로 마지막 파일이나 일부 파일은 행 수 기준 chunk보다 균등하지 않을 수 있습니다."]},{"ID":"csv-splitter-help-column-values","EXTRA_IDS":["csv-splitter-help-rare-values","csv-splitter-help-large-groups"],"ICON":"split","TITLE":"그룹화된 출력과 드문 값 처리","DESCRIPTION":"값 기반 분할은 국가, 담당자, 상태, source별로 CSV를 나누어 검토하거나 handoff하기 쉽게 만들고 싶을 때 가장 적합합니다.","PARAGRAPHS":["컬럼 기준 분할은 고유한 값 또는 값 조합마다 하나의 출력 파일을 생성합니다. 컬럼 하나를 사용하면 더 단순한 출력이 만들어지고, 두 개 이상을 사용하면 더 세분화된 파일이 생성됩니다.","드문 값 처리는 일회성 값 때문에 너무 많은 작은 파일이 생기는 상황에 유용합니다. 가장 큰 그룹만 유지하고 나머지는 “other” bucket으로 합칠 수 있습니다.","큰 그룹도 파일 크기 기준으로 추가 분할은 특정 카테고리 하나가 나머지보다 훨씬 클 때 유용합니다. 그룹화 로직은 유지하면서도, 하나의 거대한 파일이 전체 export를 지배하지 않도록 방지합니다."]},{"ID":"csv-splitter-help-rules","EXTRA_IDS":["csv-splitter-help-unmatched"],"ICON":"rules","TITLE":"규칙, first match, 그리고 미매칭 행","DESCRIPTION":"규칙 기반 분할은 파일의 목적지가 단순한 하나의 그룹화 컬럼이 아니라 비즈니스 로직에 따라 결정될 때 유용합니다.","PARAGRAPHS":["First match only는 한 행이 처음으로 매칭된 규칙에서 처리가 끝난다는 의미입니다. 동일한 행을 의도적으로 여러 출력 파일에 복사하려는 경우가 아니라면 비활성화하지 마십시오.","미매칭 행을 별도 파일에 유지는 어떤 규칙도 만족하지 않는 행도 전용 export 파일로 보존되도록 합니다.","미매칭 행 파일 이름은 그 catch-all 파일의 이름입니다. <code>needs-review.csv</code> 또는 <code>no-rule-match.csv</code>처럼 명확한 출력 이름을 원할 때 유용합니다."]},{"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":"날짜, export 설정, 그리고 더 깔끔한 출력 파일","DESCRIPTION":"이 설정들은 입력 데이터가 지저분하거나, export되는 파일 이름이 기존 workflow에 맞아야 할 때 중요합니다.","PARAGRAPHS":["날짜 형식은 해석이 모호한 날짜 컬럼을 위한 설정입니다. 감지기가 잘못 추정한 경우, 월·연도·주 단위 그룹화를 하기 전에 기대하는 형식을 강제로 지정하십시오.","잘못된 날짜는 유효하지 않은 값을 건너뛸지, 별도 파일로 이동할지를 결정할 수 있게 합니다. 이는 행이 조용히 사라지는 것보다 더 안전합니다.","파일명 패턴은 최종 출력 이름을 제어합니다. batch에 예측 가능한 번호가 필요할 때 <code>{index}</code>, <code>{label}</code> 같은 변수를 사용하십시오.","출력에 유지할 컬럼은 분할 전에 불필요한 컬럼을 제거합니다. 특히 원본 CSV에 downstream에서 필요하지 않은 보조 컬럼이 있을 때 export를 더 가볍고 깔끔하게 유지할 수 있습니다."]}],"EDGE_TITLE":"이 도구가 처리하는 edge case","EDGE_DESC":"실제 CSV export는 깔끔한 경우가 드뭅니다. 이 도구는 보통 더 단순한 splitter를 망가뜨리는 성가신 케이스를 처리할 수 있도록 설계되었습니다.","EDGE_CASES":[{"ICON":"shield","TITLE":"따옴표로 감싼 셀, 내장된 쉼표, 줄바꿈","DESCRIPTION":"따옴표로 감싼 셀 안에 쉼표나 줄바꿈이 있다고 해서 행이 분할되지는 않습니다.","BODY":"파서는 따옴표로 감싼 CSV 값을 온전히 유지하므로, 주소, 메모 또는 긴 텍스트 필드가 분할 과정에서 가짜 행으로 깨지지 않습니다."},{"ICON":"files","TITLE":"중복 헤더, 빈 컬럼, 그리고 projection된 출력","DESCRIPTION":"지저분한 헤더와 지나치게 큰 export는 CRM, 재무, 지원 데이터 export에서 흔하게 발생합니다.","BODY":"중복 헤더는 비교가 계속 가능하도록 정규화됩니다. 빈 컬럼을 식별할 수 있으며, projection을 통해 출력 생성 전에 컬럼을 제거할 수 있습니다."},{"ICON":"rows","TITLE":"대용량 파일과 lazy preview","DESCRIPTION":"미리보기는 판단을 돕기 위한 것이어야지, 큰 파일 처리를 막아서는 안 됩니다.","BODY":"대용량 행 기반 분할의 경우, 도구는 미리보기를 가볍게 유지하고 첫 번째 출력 파일만 사전 로드할 수 있습니다. 추가 미리보기와 다운로드는 필요할 때 생성됩니다."},{"ICON":"dates","TITLE":"잘못된 날짜, 미매칭 규칙, 불균형한 그룹","DESCRIPTION":"이 splitter는 edge case에 해당하는 행을 조용히 버리지 않고 계속 보이도록 유지합니다.","BODY":"유효하지 않은 날짜가 있는 행은 별도 파일로 보낼 수 있고, 어떤 규칙과도 매칭되지 않는 행은 자체 export로 유지할 수 있으며, 그룹 기반 분할에서는 특정 세그먼트가 나머지보다 훨씬 큰 경우 경고를 표시할 수 있습니다."}],"EXAMPLES":{"COUNTRY":{"TITLE":"국가 또는 상태 기준 분할","DESCRIPTION":"국가, 담당자, 상태, source 또는 카디널리티가 낮은 필드별로 CSV를 하나씩 만들고 싶다면 그룹화된 값 분할을 사용하십시오."},"RULES":{"TITLE":"규칙 기반 출력 파일 구성","DESCRIPTION":"조건부 규칙을 사용하면 enterprise 계정, Gmail 주소, 또는 아무것도 매칭되지 않는 fallback 행과 같은 실용적인 목적지를 정의할 수 있습니다."},"INPUT_LABEL":"입력","OUTPUT_LABEL":"출력"},"FAQ_ITEMS":[{"QUESTION":"컬럼 값 기준으로 CSV를 분할할 수 있습니까?","ANSWER":"예. 하나 또는 여러 컬럼을 선택하고, 그룹 수를 미리본 뒤, 필요하면 출력 파일 수에 상한을 두고, 드문 값은 “other” 파일로 묶을 수 있습니다."},{"QUESTION":"파일 크기 기준으로 CSV를 분할할 수 있습니까?","ANSWER":"예. 파일당 바이트 목표값을 설정할 수 있습니다. 다른 도구에 업로드 제한이 있을 때 유용합니다. 미리보기는 행 길이 편차가 너무 커서 신뢰할 수 있는 추정이 어려운 경우 경고를 표시합니다."},{"QUESTION":"월별 또는 연도별로 CSV를 분할할 수 있습니까?","ANSWER":"예. 날짜 컬럼을 선택하고, 월, 연도 또는 ISO 주를 지정한 뒤, 잘못된 날짜를 별도 파일로 보낼지 또는 건너뛸지를 결정할 수 있습니다."},{"QUESTION":"이 도구는 ZIP 아카이브를 생성합니까?","ANSWER":"예. 단일 출력 분할은 CSV로 다운로드되며, 여러 파일 분할은 ZIP으로 다운로드되므로 큰 세그먼트형 export도 관리하기 쉽습니다."}],"FAQ_TITLE":"자주 묻는 질문"},"ToolsDomainFinder":{"CONTENT":{"META_TITLE":"무료 회사명-도메인 찾기 | Datablist","META_SOCIAL_TITLE":"무료 회사명-도메인 찾기","META_DESCRIPTION":"회사명을 최대 10개까지 붙여넣고 해당 웹사이트를 즉시 찾아보세요. 무료이며 신용카드가 필요하지 않습니다.","HERO":{"TITLE":"회사명으로 도메인 찾기","DESCRIPTION":"회사명 목록을 붙여넣으면 몇 초 만에 해당 웹사이트를 확인할 수 있습니다. 무료이며 카드가 필요하지 않습니다."},"PROOF":{"TITLE":"추측이 아닌 실제 데이터를 기반으로 합니다","EYEBROW":"데이터베이스에 실제로 포함된 정보","BODY":"Datablist의 유료 데이터 보강 제품에 사용되는 것과 동일한 기업 데이터세트를 기반으로 하며, 잘못된 브랜드가 매칭되지 않도록 알려진 모회사 및 자회사 관계와 교차 검증합니다.","STATS":[{"value":"85%+","label":"매칭률"},{"value":"3","label":"조회 모드"},{"value":"32M","label":"기업"}]},"SOCIAL":{"TITLE":"스타트업과 대기업이 신뢰합니다","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"리드 생성 도구"}],"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":"이용 방법","STEPS":[{"step":1,"title":"목록을 붙여넣으세요","body":"CRM 내보내기 파일, 스프레드시트 열 또는 작성 중인 leads 목록에서 회사명을 복사해 무료 회사명-도메인 도구에 붙여넣으세요. 줄바꿈 또는 쉼표를 기준으로 항목을 분리하고 완전히 중복되는 항목은 자동으로 제거합니다."},{"step":2,"title":"데이터베이스를 확인한 후 Google에서 검색합니다","body":"각 회사명을 Datablist의 자체 기업 데이터베이스와 매칭합니다. 이는 유료 데이터 보강 제품에 사용되는 것과 동일한 데이터세트입니다. 신뢰할 만한 매칭 결과가 없으면 실시간 Google 검색으로 전환합니다. 단순히 첫 번째 검색 결과를 선택하지 않습니다. 요청한 기업과 얼마나 잘 일치하는지 각 후보를 평가하므로 디렉터리 목록이나 해당 기업에 관한 뉴스 기사가 웹사이트로 반환되지 않습니다."},{"step":3,"title":"모든 결과에 신뢰도 등급을 제공합니다","body":"모든 도메인 매칭의 확실성이 같지는 않으므로 회사명이 얼마나 정확히 일치했는지, 도메인을 어떤 방식으로 찾았는지에 따라 각 행에 높음, 보통 또는 낮음 등급을 표시합니다. 신뢰도가 높은 행은 바로 사용해도 좋으며, 보통 또는 낮음인 항목은 outreach 목록에 추가하기 전에 잠깐 확인하는 것이 좋습니다."}],"FLOW":["기업 데이터베이스","신뢰할 만한 매칭 없음","실시간 Google 검색","검증된 결과"],"CTA":{"TITLE":"카드 없이 500회 무료 조회","BODY":"무료 계정을 만들면 회사명 10개 제한이 해제되고 500크레딧이 제공됩니다.","LABEL":"무료 계정 만들기"}},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"콜드 outreach 개인화","body":"email을 작성하기 전에 웹사이트를 찾아 실제 정보를 바탕으로 첫 문장을 작성하세요.","ctaLabel":"콜드 email 개인화 가이드","ctaHref":"https://www.datablist.com/how-to/cold-email-personalization-tactics"},{"title":"리드 목록 보강","body":"잠재 고객 목록을 CRM이나 시퀀서에 추가하기 전에 누락된 도메인을 채우세요.","ctaLabel":"리드 목록 보강 가이드","ctaHref":"https://www.datablist.com/how-to/lead-list-building-guide"},{"title":"CRM 정리","body":"연결이 끊어진 기업 레코드를 실제 웹사이트에 다시 연결하세요.","ctaLabel":"CRM 정리 가이드","ctaHref":"https://www.datablist.com/how-to/clean-enrich-refresh-data-crm"},{"title":"틈새 기업 조사","body":"일반 검색 엔진이나 오래된 데이터베이스에서 찾지 못하는 소규모 또는 신생 기업의 웹사이트를 찾아보세요.","ctaLabel":"기업 조사 가이드","ctaHref":"https://www.datablist.com/how-to/chatgpt-search-on-spreadsheet"}]},"COMPARISON":{"TITLE":"Datablist와 다른 도메인 찾기 도구 비교","HEADERS":["도구","월 비용","도메인당 비용","적합한 용도"],"ROWS":[{"tool":"Datablist","cost":"$$25","perDomain":"$$0.005","bestFor":"합리적인 비용으로 대규모 리드 목록 구축 및 데이터 보강","favicon":"/free-tools/domain-finder/tool-favicons/datablist.png"},{"tool":"Company URL Finder","cost":"$$49","perDomain":"$$0.049","bestFor":"이미 Google Sheets를 사용 중인 팀","favicon":"/free-tools/domain-finder/tool-favicons/company-url-finder.png"},{"tool":"CUFinder","cost":"$$49","perDomain":"$$0.049","bestFor":"광범위한 API 통합","favicon":"/free-tools/domain-finder/tool-favicons/cufinder.png"},{"tool":"Clay","cost":"$$185","perDomain":"$$0.0745","bestFor":"복잡한 데이터 보강 workflow","favicon":"/free-tools/domain-finder/tool-favicons/clay.png"},{"tool":"Phantombuster","cost":"$$69","perDomain":"변동","bestFor":"기존 Phantombuster 사용자","favicon":"/free-tools/domain-finder/tool-favicons/phantombuster.png"},{"tool":"Marcom Robot","cost":"$$59","perDomain":"$$0.059","bestFor":"제한적인 활용 사례","favicon":"/free-tools/domain-finder/tool-favicons/marcom-robot.png"},{"tool":"BuiltWith","cost":"$$295","perDomain":"프리미엄","bestFor":"기술 기반 잠재 고객 발굴","favicon":"/free-tools/domain-finder/tool-favicons/builtwith.png"}],"NOTE":"가격은 2026년 9월 각 공급업체의 공식 가격 페이지에서 확인한 도구별 최저 월간 유료 요금제 기준입니다. 도메인당 비용은 해당 요금제에 포함된 조회 횟수를 기준으로 계산했습니다.","SOURCES":[{"n":1,"label":"Datablist 요금","href":"https://www.datablist.com/pricing"},{"n":2,"label":"Company URL Finder 요금제","href":"https://companyurlfinder.com/plans"},{"n":3,"label":"CUFinder 요금","href":"https://cufinder.io/pricing"},{"n":4,"label":"Clay 요금","href":"https://www.clay.com/pricing"},{"n":5,"label":"Phantombuster 요금","href":"https://phantombuster.com/pricing"},{"n":6,"label":"Marcom Robot 요금","href":"https://www.marcomrobot.com/data-enrichment/pricing"},{"n":7,"label":"BuiltWith 요금제","href":"https://builtwith.com/plans"}],"CTA":{"TITLE":"도메인별 과금을 그만하세요","BODY":"Datablist는 도메인당 $0.005입니다. 카드 없이 500크레딧으로 무료로 시작하세요.","LABEL":"무료 계정 만들기"}},"RELATED":{"TITLE":"관련 도구","EYEBROW":"대량으로 처리해야 하나요?","ENRICHMENT":{"label":"Domain Finder 데이터 보강","href":"https://www.datablist.com/enrichments/find-domain-for-company-name-bulk","blurb":"회사명을 한 번에 10개씩 처리하는 대신 전체 스프레드시트를 실행하세요. 동일한 데이터베이스 우선 확인 후 Google 검색 방식으로 매칭합니다."},"TOOLS":[{"label":"Sales Navigator Scraper","href":"https://www.datablist.com/tools/sales-navigator-scraper","blurb":"LinkedIn 계정에 접속하지 않고 검색 URL에서 leads를 확보하세요."},{"label":"무료 Email Finder","href":"https://www.datablist.com/tools/email-finder","blurb":"이름과 회사 정보로 업무용 emails를 찾으세요."},{"label":"회사명 정리 도구","href":"https://www.datablist.com/tools/company-name-cleaner","blurb":"AI 정리 도구로 법인명 접미사를 제거하고 대소문자 표기를 수정하세요."}]},"FAQ":{"TITLE":"자주 묻는 질문","ITEMS":[{"question":"무료로 몇 개의 도메인을 조회할 수 있나요?","answer":"실행당 회사명 10개를 조회할 수 있으며 계정이나 카드가 필요하지 않습니다. 도구의 대규모 스크립트 사용을 방지하는 공정 사용 한도 내에서 필요할 때마다 다시 실행할 수 있습니다."},{"question":"한 번에 10개보다 많이 처리해야 하면 어떻게 하나요?","answer":"무료 계정을 만들면 회사명 10개 제한이 해제되며, 더 큰 배치를 바로 테스트할 수 있도록 500무료 크레딧이 제공됩니다. 정기적인 대량 처리에는 Starter 요금제의 월 5,000크레딧을 사용할 수 있으며, 기업 데이터베이스 매칭은 도메인당 $0.005, Google 조회는 $0.0125입니다."},{"question":"Clearbit의 무료 Name to Domain API는 어떻게 되었나요?","answer":"2025년 4월 30일에 서비스가 종료되었습니다. 이 도구는 독립적으로 바로 대체해 사용할 수 있으며, Clearbit에는 없었던 행별 신뢰도 등급을 제공합니다."},{"question":"이 도구를 API로 사용할 수 있나요?","answer":"예. Datablist는 회사 웹사이트를 프로그래밍 방식으로 찾을 수 있는 회사명-도메인 API를 제공합니다. 설정 방법은 datablist.com/how-to/company-name-to-domain-api-enrichment의 API 구현 가이드를 참조하세요."}]},"BREADCRUMB_CURRENT":"Domain Finder","SCHEMA_NAME":"Datablist 무료 회사명-도메인 찾기","SCHEMA_DESCRIPTION":"무료 온라인 회사명-도메인 찾기입니다. 회사명 목록을 붙여넣으면 각 매칭 결과의 신뢰도 등급과 함께 해당 웹사이트를 확인할 수 있습니다."},"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":"회사명 목록","DESCRIPTION":"회사명을 최대 10개까지 붙여넣고 몇 초 만에 도메인을 찾아보세요.","PLACEHOLDERS":["Datablist","Celonis","회사명"],"ROW_LABEL":"회사명, {number}행","REMOVE_ROW":"{number}행 삭제","ADD_ROW":"행 추가","ROW_LIMIT":"무료 도구에서는 최대 10행까지 입력할 수 있습니다.","EMPTY":"시작하려면 회사명을 붙여넣거나 입력하세요","READY_ONE":"회사명 1개 준비됨","READY_MANY":"회사명 {count}개 준비됨","FIND_ONE":"도메인 찾기","FIND_MANY":"도메인 찾기","SAMPLE_BUTTON":"샘플 결과 보기","SAMPLE_NOTICE":"샘플 결과 · 이 10개의 예시는 설명을 위한 것입니다. 신뢰도 등급은 예시이며 실시간 점수가 아닙니다. 크레딧은 사용되지 않았습니다.","REJECTED_ONE":"1개 항목이 회사명으로 보이지 않아 건너뛰었습니다.","REJECTED_MANY":"{count}개 항목이 회사명으로 보이지 않아 건너뛰었습니다.","OVERFLOW":"{count}개의 회사명을 붙여넣었습니다. 처음 10개만 무료로 실행되었습니다. 무료 체험에서는 최대 500회 조회할 수 있습니다(각 1크레딧).","PROCESS_ALL":"{count}개 모두 처리","NUMBER":"#","COMPANY_NAME":"회사명","DOMAIN":"도메인","CONFIDENCE":"신뢰도","STATUS":"상태","NO_MATCH":"매칭 결과 없음","COPY_ROW":"{name}의 도메인 복사","START_OVER":"처음부터 다시 시작","COPY_ALL":"모두 복사","DOWNLOAD_CSV":"CSV 다운로드","DOWNLOAD_FILENAME":"domains.csv","HIGH":"높음","MEDIUM":"보통","LOW":"낮음","VERY_LOW":"매우 낮음","PRIVACY":"회사명과 결과는 이 브라우저에서 24시간 동안 확인할 수 있습니다. Datablist는 조회를 완료하고 지원하기 위해 작업 데이터를 더 오래 보관합니다.","UNAVAILABLE":"현재 이 조회 기능을 일시적으로 사용할 수 없습니다. Datablist 앱은 계속 사용할 수 있습니다.","QUOTA_REACHED":"이 무료 도구의 일일 할당량을 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하거나 Datablist에서 계속 진행하세요.","QUOTA_RUN_TOO_LARGE":"이번 조회는 이 무료 도구의 남은 일일 할당량을 초과합니다. 회사명 수를 줄이거나 {hours}시간 {minutes}분 후 다시 이용하세요.","QUOTA_REMAINING":"오늘 크레딧 {limit}개 중 {remaining}개 남음","QUOTA_REDUCE":"오늘 크레딧이 {remaining}개 남았습니다. 회사명 수를 줄여보세요.","QUOTA_WAIT":"일일 할당량을 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하세요.","CHALLENGE_REQUIRED":"조회를 실행하기 전에 인증을 완료하세요.","RUN_FAILED":"조회를 완료하지 못했습니다. 나중에 다시 시도해 주세요.","SUBMISSION_UNKNOWN":"조회가 시작되었는지 확인하고 있습니다. 상태를 확인하려면 이 페이지를 새로고침하세요. 다시 제출하지 마세요.","RETRY_STATUS":"현재 조회 상태를 확인할 수 없습니다. 페이지를 새로고침해 다시 시도하세요.","EXPIRED":"이 결과는 이 브라우저에서 더 이상 확인할 수 없습니다.","BANNER":"무료 계정에 가입하고 카드 없이 회사명-도메인 조회 500회를 무료로 이용하세요.","BANNER_CTA":"500무료 크레딧 받기","RESULT_CTA":"무료 체험에 가입하고 회사명-도메인 조회 500회를 무료로 이용하세요!","RESULT_CTA_BUTTON":"무료 체험 시작","CSV_NAME":"이름","LOADING":"불러오는 중","ERROR":"오류","COMPLETE":"완료","HISTORY_TITLE":"최근 조회 내역","HISTORY_DESCRIPTION":"결과를 확인할 수 있는 최대 24시간 동안 이 브라우저에서 조회 내역을 열거나 삭제할 수 있습니다. 여기에서 삭제해도 조회가 중단되거나 크레딧이 복원되지는 않습니다.","HISTORY_REMOVE":"이 브라우저에서 {name} 삭제","HISTORY_COMPLETE":"완료","HISTORY_FAILED":"확인 필요","HISTORY_ATTENTION":"상태 확인 중","HISTORY_RUNNING":"진행 중","COPY_ERROR":"복사하지 못했습니다. 다시 시도하거나 CSV를 다운로드하세요.","DEBUG_NOTICE":"베타 작업의 디버그 결과입니다. 제출된 인물을 조회한 결과가 아닌 테스트 데이터입니다.","MORE_OPTIONS":"추가 옵션","COUNTRY_LABEL":"대상 국가","COUNTRY_HELP":"기업 데이터세트와 Google 검색 대체 범위를 특정 국가로 좁힙니다.","ALL_COUNTRIES":"모든 국가","RUN_OPTIONS":"실행 옵션","OPTION_ON":"켜짐","OPTION_OFF":"꺼짐"}},"ToolsSalesNavigatorScraper":{"CONTENT":{"META_TITLE":"무료 Sales Navigator 스크레이퍼 | Datablist","META_SOCIAL_TITLE":"무료 Sales Navigator 스크레이퍼","META_DESCRIPTION":"Sales Navigator 검색 URL을 붙여넣고 leads를 무료로 미리 확인하세요. LinkedIn 로그인, 쿠키 또는 세션 ID가 필요하지 않아 계정이 위험에 노출되지 않습니다.","SCHEMA_NAME":"Datablist 무료 Sales Navigator 스크레이퍼","SCHEMA_DESCRIPTION":"무료 온라인 Sales Navigator 스크레이퍼입니다. LinkedIn 계정을 연결하거나 쿠키 및 세션 ID를 제공할 필요 없이 검색 URL을 붙여넣고 leads를 미리 확인하세요.","BREADCRUMB_CURRENT":"Sales Navigator 스크레이퍼","HERO":{"TITLE":"시장에서 가장 안전한 Sales Navigator 스크레이퍼를 무료로 테스트해 보세요!","DESCRIPTION":"검색 URL을 붙여넣고 leads를 즉시 미리 확인하세요."},"SAFETY":{"TITLE":"계정이 위험에 노출되지 않는 이유","ITEMS":[{"safe":true,"label":"Datablist","body":"필요한 것은 검색 URL 하나뿐입니다. 로그인 정보, 쿠키, 세션 ID, 확장 프로그램이 필요하지 않습니다."},{"safe":false,"label":"Chrome 확장 프로그램","body":"Evaboot, Skrapp 및 유사한 도구는 로그인된 세션에서 클릭을 자동화합니다. LinkedIn 이용약관은 이를 금지하며, 그에 따른 위험은 사용자 계정이 부담하게 됩니다."},{"safe":false,"label":"쿠키 기반 클라우드 도구","body":"Phantombuster와 대부분의 Apify actor는 li_at 세션 쿠키를 붙여넣도록 요구합니다. 이는 로그인된 세션 자체를 제3자에게 넘기는 것과 같습니다."}]},"SOCIAL":{"TITLE":"스타트업과 대기업이 신뢰하는 서비스","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"lead generation 도구"}],"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":"작동 방식","STEPS":[{"step":1,"title":"Sales Navigator에서 검색을 실행하세요","body":"결과 목록이 실제로 원하는 타깃 고객이 될 때까지 직책, 직급, 위치, 직원 수, 업종 또는 기타 Sales Navigator 필터로 범위를 좁히세요. 그런 다음 주소 표시줄에서 URL을 바로 복사하세요."},{"step":2,"title":"여기에 URL을 붙여넣으세요","body":"저희에게 필요한 것은 해당 URL뿐입니다. 로그인, 비밀번호, 브라우저 확장 프로그램은 물론 개발자 도구에서 복사한 세션 쿠키도 필요하지 않습니다. Sales Navigator가 추가하는 계정 범위 매개변수는 URL이 어디로든 전송되기 전에 제거합니다. 해당 정보는 필요하지도, 사용하지도 않기 때문입니다."},{"step":3,"title":"Datablist 자체 인프라에서 스크레이핑합니다","body":"데이터 추출은 사용자의 LinkedIn 세션이 아닌 Datablist 서버에서 실행되므로, 사용자 계정으로 추적되거나 LinkedIn 활동 한도에 반영되지 않습니다. 결과는 정리된 표로 제공되며, 바로 email 정보를 보강하거나 CRM으로 전송할 수 있습니다."}],"CTA":{"TITLE":"10개의 leads만이 아니라 전체 검색 결과를 스크레이핑하세요","BODY":"무료 계정에는 처음부터 500크레딧이 제공되며 LinkedIn 계정에는 절대 연결되지 않습니다.","LABEL":"무료 계정 만들기"}},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"처음부터 lead 목록 구축하기","body":"검색 결과를 일일이 넘겨보는 대신, 세밀하게 필터링한 Sales Navigator 검색 결과를 실제로 활용할 수 있는 깔끔하고 중복 없는 목록으로 전환하세요.","ctaLabel":"Lead 목록 구축 가이드","ctaHref":"/how-to/lead-list-building-guide"},{"title":"스크레이핑한 leads의 emails 찾기","body":"이름과 직책만으로는 연락할 수 없습니다. 연락처를 포기하기 전에 20개 이상의 제공업체를 확인하는 워터폴 email finder로 스크레이핑한 목록을 처리하세요.","ctaLabel":"대규모 Emails 찾기","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"전체 검색 결과를 한 번에 내보내기","body":"Sales Navigator 검색 결과를 일일이 넘겨보면 확보할 수 있는 leads가 수십 개로 제한됩니다. 전체 검색 결과를 한 번에 내보내야 활용 가치가 있는 목록을 구축할 수 있습니다.","ctaLabel":"Sales Navigator Leads 내보내기","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"계정 정지 위험 없이 스크레이핑하기","body":"인적 네트워크를 잃을까 봐 스크레이핑을 미뤄 왔다면, 이 workflow를 통해 계정 위험을 완전히 제거할 수 있습니다.","ctaLabel":"안전한 스크레이핑 가이드","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Sales Navigator 스크레이퍼 비교","INTRO":"아래의 다른 모든 도구는 사용자가 제공한 확장 프로그램이나 세션 쿠키를 이용해 사용자 본인의 LinkedIn 세션에서 스크레이핑을 실행합니다. 계정에 전혀 연결되지 않는 도구는 Datablist뿐입니다.","HEADERS":["도구","사용자의 LinkedIn 계정","사용자에게 필요한 항목","최저 요금","Lead당 비용","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["절대 연결하지 않음","검색 URL","$$25/월","$$0.05","지원, 20개 이상의 제공업체"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["위험에 노출됨","계정에 설치하는 확장 프로그램","$$39/월","$$0.039","지원"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["위험에 노출됨","계정에 설치하는 확장 프로그램","$$9/월","$$0.09","지원"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["위험에 노출됨","사용자의 세션 쿠키","$$69/월","상이함","지원"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["위험에 노출됨","사용자의 세션 쿠키","$$19/월","상이함","미지원"]}],"NOTE":"가격은 2026년 9월 각 업체의 공식 요금 페이지에서 확인한 월간 결제 기준 최저 유료 플랜입니다. Lead당 비용은 해당 플랜에 포함된 leads 수를 기준으로 산정했습니다.","SOURCES":[{"n":1,"label":"Datablist 요금","href":"/pricing"},{"n":2,"label":"Skrapp 요금","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evaboot 요금","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombuster 요금","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apify 요금","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"사용자 계정에 접근하지 않는 유일한 도구","BODY":"500크레딧으로 무료로 시작하세요. 확장 프로그램, 세션 쿠키, 카드가 필요하지 않습니다.","LABEL":"무료 계정 만들기"}},"RELATED":{"TITLE":"관련 도구","EYEBROW":"대량으로 처리해야 하나요?","ENRICHMENT":{"label":"Sales Navigator 스크레이퍼","href":"/sources/linkedin-search-scraper","blurb":"LinkedIn 계정을 연결하지 않고도 10개의 leads 미리보기가 아닌 전체 검색 결과를 스크레이핑하세요."},"TOOLS":[{"label":"무료 Domain Finder","href":"/tools/domain-finder","blurb":"회사명을 웹사이트로 변환하고 신뢰도 등급을 제공합니다."},{"label":"무료 Email Finder","href":"/tools/email-finder","blurb":"이름과 회사 정보를 바탕으로 업무용 emails를 찾습니다."},{"label":"회사명 정리 도구","href":"/tools/company-name-cleaner","blurb":"AI 정리 도구로 법인 표기를 제거하고 대소문자를 수정합니다."}]},"FAQ":{"TITLE":"자주 묻는 질문","ITEMS":[{"question":"Sales Navigator 구독이 필요한가요?","answer":"예. 이 도구가 읽는 검색 URL은 Sales Navigator의 고급 필터를 통해 생성되므로, URL을 만들려면 활성 구독이 필요합니다. 단, 저희에게 구독 계정 접근 권한을 제공할 필요는 없습니다."},{"question":"다른 스크레이퍼와 달리 이 도구가 안전한 이유는 무엇인가요?","answer":"위 비교표의 다른 모든 도구는 사용자가 붙여넣은 브라우저 확장 프로그램이나 세션 쿠키를 통해 로그인된 본인의 LinkedIn 세션에서 스크레이핑을 실행합니다. LinkedIn 이용약관은 이를 금지하며, 제재는 사용자 계정에 적용됩니다. Datablist는 검색 URL만 읽고 자체 인프라에서 데이터를 추출하므로 사용자에게로 추적될 정보가 없습니다."},{"question":"전체 스크레이핑 비용은 얼마인가요?","answer":"LinkedIn 계정에 아무것도 연결하지 않는 경우 lead당 20크레딧이며, 본인의 계정을 연결하면 10크레딧입니다. Datablist는 월간 결제 기준 월 $25부터 시작하며 매월 5,000크레딧이 포함됩니다."},{"question":"Datablist의 Sales Navigator 스크레이퍼에 제한 사항이 있나요?","answer":"예. \"회사 페이지를 팔로우하는 사람\", 저장된 목록 또는 CRM에서 동기화된 항목처럼 계정에 연결된 필터가 포함된 검색은 스크레이핑할 수 없습니다. 이러한 데이터는 개인 로그인 뒤에 있으며 Datablist는 해당 계정에 연결하지 않기 때문입니다."}]}},"TOOL":{"LABEL":"Sales Navigator 검색 URL","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"LinkedIn 로그인, 쿠키 또는 세션 ID가 필요하지 않습니다. 사용자 계정에는 절대 연결하지 않습니다.","SUBMIT":"Leads 스크레이핑","BUSY":"스크레이핑 중","RESULTS":"검색 결과의 첫 {count}개 leads를 무료로 확인하세요.","NAME":"이름","JOB_TITLE":"직책","COMPANY":"회사","LOCATION":"위치","COPY":"복사","COPIED":"복사됨","DOWNLOAD":"CSV 다운로드","NOTE":"무료 미리보기에서는 연락처 정보 없이 {count}개의 leads를 보여드립니다. 전체 스크레이핑을 실행하면 Datablist의 데이터 보강을 통해 emails와 프로필 URL이 제공됩니다.","ERROR_EMPTY":"시작하려면 Sales Navigator 검색 URL을 붙여넣으세요.","ERROR_URL":"올바른 URL 형식이 아닌 것 같습니다.","ERROR_HOST":"해당 링크는 LinkedIn이 아니라 {host}(으)로 연결됩니다.","ERROR_PROFILE":"검색 결과가 아니라 단일 LinkedIn 프로필입니다.","ERROR_RECORD":"검색 결과가 아니라 하나의 Sales Navigator 레코드입니다.","ERROR_SEARCH":"LinkedIn 링크이지만 Sales Navigator 검색 링크는 아닙니다.","ERROR_FAILURE":"스크레이핑을 완료하지 못했습니다. 잠시 후 다시 시도해 주세요.","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"전체 목록 스크레이핑","ERROR_HINTS":{"url":"Sales Navigator에서 검색을 열고 주소 표시줄의 URL을 복사하세요.","host":"Sales Navigator URL은 linkedin.com/sales/search/로 시작합니다.","profile":"먼저 Sales Navigator에서 검색한 후 해당 URL을 복사하세요.","record":"검색 결과로 돌아가 그곳의 URL을 복사하세요.","search":"linkedin.com/sales/search/people 또는 /sales/search/company 형식의 링크를 찾으세요."}}},"ToolsEmailFinder":{"CONTENT":{"META_TITLE":"무료 Email Finder | Datablist","META_SOCIAL_TITLE":"무료 Email Finder","META_DESCRIPTION":"Find a work email from a name and company or a LinkedIn profile. One found email free per day. Copy or download your result, with no signup required.","SCHEMA_NAME":"Datablist 무료 Email Finder","SCHEMA_DESCRIPTION":"Free online waterfall email finder. Enter a name and company or a LinkedIn person profile to search for a work email address.","BREADCRUMB_CURRENT":"Email Finder","HERO":{"TITLE":"무료 Email Finder","DESCRIPTION":"Find one work email free each day. Give a name and company, or a LinkedIn profile.\nNo signup required."},"WATERFALL":{"TITLE":"단일 조회보다 waterfall 방식이 더 효과적인 이유","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":"스타트업과 엔터프라이즈가 신뢰하는 서비스","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"lead generation 도구"}],"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":"이용 방법","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":"무료 계정에는 500크레딧이 제공되며 전체 리스트를 한 번에 처리할 수 있습니다.","LABEL":"무료 계정 만들기"}},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"실제로 연락할 수 있는 lead 리스트 구축","body":"이름과 회사 정보만으로는 연락할 수 없습니다. 스크래핑하거나 내보낸 리스트를 실제로 email을 보낼 수 있는 리스트로 바꾸는 과정이 그 데이터에 가치를 더합니다.","ctaLabel":"대규모 Email 찾기","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"기존 리스트의 누락 정보 보완","body":"내보낸 데이터는 대부분 일부 정보가 누락된 상태입니다. 주소가 없는 행만 처리하고, 결과가 없는 항목에는 비용을 지불하지 마세요.","ctaLabel":"Email이 포함된 Lead 리스트 만들기","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"보유 중인 provider 키 사용","body":"이미 Hunter, Dropcontact 또는 유사 서비스에 비용을 지불하고 계신가요? 보유 중인 키로 waterfall을 실행하고 Datablist 크레딧 시스템을 전혀 사용하지 않을 수 있습니다.","ctaLabel":"맞춤형 Waterfall Email Finder","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"발송 전 개인화","body":"검증된 주소는 시작일 뿐입니다. email의 성과를 좌우하는 것은 첫 문장이 특정 개인을 위해 작성된 것처럼 느껴지는지 여부입니다.","ctaLabel":"콜드 Email 개인화","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"실제로 찾은 email 1,000건의 비용","INTRO":"크레딧당 가격만 보면 실제로 중요한 비용, 즉 발송 가능한 주소 1,000건을 확보하는 데 드는 비용을 알기 어렵습니다. Hunter는 하나의 인덱스만 조회하므로 email당 비용이 더 저렴합니다. Waterfall 방식은 조회당 비용이 더 높지만 단일 출처에서 찾지 못하는 사람까지 찾아냅니다. Waterfall 서비스 중에서는 Datablist가 가장 저렴합니다.","HEADERS":["도구","Email 1,000건당 비용","검색 방식","검색 실패"],"BEST_LABEL":"모든 waterfall 중 최저가","BEST_LABEL_MOBILE":"{cost} · 모든 waterfall 중 최저가","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"단일 출처 인덱스","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"20개 이상의 provider waterfall","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"20개 이상의 provider waterfall","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"20개 이상의 provider waterfall","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"독점 데이터베이스","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150개 이상의 연동","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"견적 문의","approach":"독점 데이터베이스","misses":"공개되지 않음","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"견적 문의","approach":"독점 데이터베이스","misses":"공개되지 않음","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"찾은 email 1,000건당 비용입니다. Datablist가 공개한 비교 자료와 각 vendor의 가격 페이지를 바탕으로 하며, 2026년 9월에 확인했습니다. 나열된 모든 도구는 찾은 주소에 대해서만 요금을 부과하므로 직접 비교할 수 있습니다. 견적 기반 vendor는 요금을 공개하지 않습니다.","SOURCES":[{"n":1,"label":"Datablist의 CPME 분석","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablist 가격","href":"/pricing"},{"n":3,"label":"Hunter.io 가격","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContact 가격","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrich 가격","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apollo 가격","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clay 가격","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"실제로 확보한 email에 대해서만 결제하세요","BODY":"500크레딧으로 무료로 시작하세요. 결과가 없는 조회에는 비용이 들지 않습니다.","LABEL":"무료 계정 만들기"}},"RELATED":{"TITLE":"관련 도구","EYEBROW":"대량으로 처리해야 하나요?","ENRICHMENT":{"label":"Waterfall Email Finder","href":"/enrichments/email-finder","blurb":"Run a full list through the work-email waterfall, paying only for the addresses it finds."},"TOOLS":[{"label":"무료 Domain Finder","href":"/tools/domain-finder","blurb":"회사명을 웹사이트로 변환하고 신뢰도 등급을 제공합니다."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"LinkedIn 계정에 접근하지 않고 검색 URL에서 leads를 확보합니다."},{"label":"회사명 정리 도구","href":"/tools/company-name-cleaner","blurb":"AI 정리 도구로 법인명 접미사를 제거하고 대소문자를 수정합니다."}]},"FAQ":{"TITLE":"자주 묻는 질문","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":"어떤 방식으로 검색하시겠습니까?","MODE_NAME":"이름 + 회사","MODE_LINKEDIN":"LinkedIn URL","FIRST_NAME":"이름","LAST_NAME":"성","COMPANY":"회사 또는 도메인","LINKEDIN":"LinkedIn 프로필 URL","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"회사명보다 도메인을 사용하면 더 정확합니다.","HINT_LINKEDIN":"회사 페이지가 아닌 개인 프로필을 입력하세요.","COPY":"복사","COPIED":"복사됨","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":"무료 계정을 만들고 500크레딧을 받아 email 20건을 찾아보세요. 카드 등록은 필요하지 않습니다.","BANNER_CTA":"무료 500크레딧 받기","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":"무료 회사명 정리 도구 | Datablist","META_SOCIAL_TITLE":"무료 회사명 정리 도구","META_DESCRIPTION":"AI로 실행당 최대 10개의 회사명을 정리하세요. 대소문자 표기와 법인 형태를 표준화한 후 결과를 복사하거나 내보낼 수 있습니다. 가입할 필요가 없으며 일일 사용 한도가 적용됩니다.","SCHEMA_NAME":"Datablist 무료 회사명 정리 도구","SCHEMA_DESCRIPTION":"AI로 실행당 최대 10개의 회사명을 정리하세요. 대소문자 표기와 법인 형태를 표준화한 후 결과를 복사하거나 내보낼 수 있습니다. 가입할 필요가 없으며 일일 사용 한도가 적용됩니다.","BREADCRUMB_CURRENT":"회사명 정리 도구","HERO":{"TITLE":"정리되지 않은 회사명을 무료로 표준화하세요","DESCRIPTION":"목록을 붙여넣고 대소문자 표기를 정리한 후 법인 접미사 유지 여부를 선택하세요. 실행당 10개까지 가능하며 가입은 필요하지 않습니다."},"FORMULA":{"TITLE":"스프레드시트 수식만 사용하면 안 되나요?","QUOTE":"“결국 인식하지 못하는 접미사가 하나라도 나오면 작동하지 않는 거대한 중첩 SUBSTITUTE 수식을 만들게 됩니다.” 직접 만든 수식의 함정이 바로 이것입니다. 예상한 패턴만 처리할 수 있고 새로운 형식이 추가될 때마다 이미 읽기 어려운 수식을 다시 수정해야 합니다. 반면 AI 정리 도구는 문맥을 바탕으로 이름을 읽기 때문에, 누구도 규칙으로 작성하지 않은 접미사나 대소문자 표기 방식, 업계 약어도 처리할 수 있습니다.","HEADERS":["정리 전","정리 후","확인할 수 있는 내용"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"모두 대문자인 표기를 수정하고 접미사를 제거"},{"raw":"müller & söhne gmbh & co. kg","note":"소문자 표기를 수정하고 단독 \"GmbH\" 대신 복합 접미사를 우선 적용"},{"raw":"\"Tech Company, INC.\"","note":"양쪽 따옴표와 접미사를 제거"},{"raw":"SAP","note":"허용 목록에 있는 약어이므로 원문 그대로 유지"},{"raw":"1234567 Ontario Inc.","note":"번호로 구성된 회사 형식이므로 사용 전에 정리된 이름을 검토하세요"}],"NOTE":"설명을 위한 예시입니다. AI 정리 도구는 정리된 회사명만 반환하며 신뢰도 점수나 설명은 제공하지 않습니다. 중요한 회사명은 사용 전에 검토하세요.","REVIEW":"검토"},"FIXES":{"TITLE":"정리할 수 있는 항목","ITEMS":[{"icon":"Scissors","title":"법인 접미사 제거","body":"AI 정리 도구는 식별 가능한 회사명은 유지하면서 Inc., LLC, Ltd., GmbH, SAS 등의 법인 형태를 제거할 수 있습니다."},{"icon":"CaseSensitive","title":"대소문자 표기 수정","body":"정리 도구는 일관되지 않은 대소문자 표기를 표준화하며, 식별 가능한 고유 명칭과 약어는 유지할 수 있습니다."},{"icon":"Eraser","title":"공백, 따옴표 및 문장부호","body":"중복 공백을 하나로 줄이고, 스프레드시트에서 붙여넣을 때 남은 양쪽 따옴표를 제거하며, 접미사 제거 후 끝에 남는 쉼표나 마침표를 정리합니다."},{"icon":"CopyCheck","title":"정리 전후 비교","body":"결과를 복사하거나 CSV를 다운로드하기 전에 원본 이름과 정리된 이름을 비교하세요."}]},"SOCIAL":{"TITLE":"스타트업과 엔터프라이즈가 신뢰하는 서비스","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"lead generation 도구"}],"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":"이용 방법","STEPS":[{"step":1,"title":"목록을 붙여넣으세요","body":"한 줄에 회사명 하나씩, 실행당 최대 10개까지 입력할 수 있습니다. CRM에서 내보낸 데이터, 스크래핑한 leads 목록 또는 스프레드시트 열을 그대로 사용할 수 있으며, 정리되지 않은 대소문자 표기와 법인 접미사가 포함되어 있어도 됩니다. 이 한도는 도구의 처리 능력 때문이 아니라 각 회사명을 처리할 때마다 크레딧이 사용되기 때문에 설정되어 있습니다."},{"step":2,"title":"정리 도구가 각 회사명을 표준화합니다","body":"AI 정리 도구가 정리된 이름을 반환하므로 원본과 비교할 수 있습니다. 신뢰도 점수나 설명은 제공하지 않습니다."},{"step":3,"title":"결과를 복사하거나 다운로드하세요","body":"표준화된 이름을 클립보드에 바로 복사하거나, 각 행의 원본 이름, 정리된 이름, 결과 상태가 포함된 전체 비교 내역을 CSV로 다운로드하세요."}],"CTA":{"TITLE":"한 번에 10개가 넘는 회사명을 정리하세요","BODY":"무료 계정을 만들면 1,000개의 회사명을 처리하기에 충분한 500크레딧이 제공됩니다.","LABEL":"무료 계정 만들기"}},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"CRM에 입력하기 전 회사명 표준화","body":"\"Acme Inc\"와 \"ACME Corporation\"처럼 중복된 레코드가 동일한 파이프라인에 쌓이기 전에 일관되지 않은 대소문자 표기와 법인 접미사를 정리하세요.","ctaLabel":"회사명 표준화 방법","ctaHref":"/how-to/normalize-company-names"},{"title":"기존 목록의 중복 제거","body":"대부분의 도구는 대소문자 표기나 접미사만 다른 두 행을 서로 다른 회사로 인식합니다. 먼저 표준화하면 중복 항목을 쉽게 확인할 수 있습니다.","ctaLabel":"회사명 중복 제거 방법","ctaHref":"/how-to/dedupe-company-names"},{"title":"오래된 CRM 내보내기 데이터 새로 정리","body":"오래된 시스템에서 내보낸 데이터에는 일관되지 않은 이름이 누적되어 있기 마련입니다. 정리되지 않은 상태를 그대로 이어가기보다 다시 가져오는 과정에서 표준화하세요.","ctaLabel":"CRM 데이터 정리, 보강 및 업데이트","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"email 발송 전 목록 표준화","body":"회사명 필드는 개인화 토큰에 사용됩니다. 불필요한 따옴표가 있거나 모두 대문자로 표기된 이름은 수신자가 실제로 알아차리는 세부 요소입니다.","ctaLabel":"Email 목록 정리 가이드","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"목록을 무료로 표준화하세요","RELATED":{"TITLE":"관련 도구","EYEBROW":"대량 처리가 필요하신가요?","ENRICHMENT":{"label":"회사명 정리 enrichment","href":"/enrichments/company-name-cleaner","blurb":"10개 제한 없이 동일한 정리 도구를 Datablist 내 데이터세트에서 직접 실행하세요. 회사명당 0.5크레딧이 사용되며 반복되는 행은 캐시되므로 중복 과금되지 않습니다."},"TOOLS":[{"label":"무료 도메인 찾기","href":"/tools/domain-finder","blurb":"회사명을 웹사이트로 변환하고 신뢰도 등급을 제공합니다."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"LinkedIn 계정을 건드리지 않고 검색 URL에서 leads를 확보하세요."},{"label":"무료 Email Finder","href":"/tools/email-finder","blurb":"이름과 회사 정보를 바탕으로 업무용 email을 찾습니다."}]},"FAQ":{"TITLE":"자주 묻는 질문","ITEMS":[{"question":"이 무료 도구는 AI 기반인가요?","answer":"예. 고정된 접미사 목록과 대조하는 대신 문맥과 업계 용어를 이해하는 유료 enrichment와 동일한 Datablist AI 회사명 정리 도구를 사용합니다. 각 회사명을 처리하는 데 0.5크레딧이 사용되므로 실행당 최대 10개로 제한됩니다."},{"question":"무료로 몇 개의 회사명을 표준화할 수 있나요?","answer":"브라우저 세션 및 IP당 일일 5크레딧 한도 내에서 실행당 최대 10개까지 가능합니다. 제출된 각 회사명에 0.5크레딧이 예약되며, 사용되지 않은 예약분은 실행 완료 시 반환됩니다. 한도는 매일 자정(UTC)에 초기화됩니다."},{"question":"정리 도구가 신뢰도 점수를 반환하나요?","answer":"아니요. 정리된 회사명을 반환합니다. 표에는 반환된 이름이 입력값과 다른지 여부가 표시됩니다. 중요하거나 모호한 이름은 사용 전에 검토하세요."},{"question":"붙여넣은 회사명은 어디로 전송되나요?","answer":"정리 도구는 브라우저에서 실행되는 스크립트가 아니라 Datablist 인프라에서 작동하는 AI 모델이므로, 회사명은 표준화를 위해 Datablist로 전송됩니다. 버튼을 누르기 전에는 아무 작업도 실행되지 않으므로, 클립보드에서 어떤 내용이 인식되었는지 전송 전에 정확히 확인할 수 있습니다."},{"question":"이 도구와 유료 enrichment의 차이점은 무엇인가요?","answer":"정리 도구는 같지만 처리 규모가 다릅니다. 이 페이지에서는 계정 없이 한 번에 10개의 회사명을 처리할 수 있습니다. enrichment는 Datablist 내 데이터세트에서 회사명당 0.5크레딧으로 10개 제한 없이 직접 실행되므로 데이터를 내보내 다시 붙여넣을 필요가 없으며, 반복되는 행은 캐시되어 중복 과금되지 않습니다."},{"question":"Datablist로 이미 가져온 회사명도 표준화할 수 있나요?","answer":"예. 유료 enrichment는 Datablist 내 데이터세트에서 직접 실행되므로 데이터를 내보내 다시 붙여넣을 필요가 없습니다. 이 무료 도구는 지금 가지고 계신 간단한 목록을 빠르게 처리할 때 적합합니다."}]}},"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":"회사명 목록","DESCRIPTION":"회사명을 최대 10개까지 붙여넣어 대소문자 표기와 법인 형태를 정리하세요.","PLACEHOLDERS":["Acme Solutions LLC","MÜLLER & SÖHNE GMBH","회사명"],"ROW_LABEL":"회사명, {number}행","REMOVE_ROW":"{number}행 제거","ADD_ROW":"행 추가","ROW_LIMIT":"실행당 회사명을 최대 10개까지 처리할 수 있습니다.","EMPTY":"시작하려면 회사명을 붙여넣거나 입력하세요","READY_ONE":"회사명 1개 준비됨","READY_MANY":"회사명 {count}개 준비됨","FIND_ONE":"회사명 정리","FIND_MANY":"회사명 정리","SAMPLE_BUTTON":"샘플 결과 보기","SAMPLE_NOTICE":"설명을 위한 샘플 결과입니다. 신뢰도 등급은 예시이며 실시간 점수가 아닙니다. 이 미리보기에는 크레딧이 사용되지 않습니다.","REJECTED_ONE":"입력값 1개를 사용할 수 없습니다. 형식을 확인하세요.","REJECTED_MANY":"입력값 {count}개를 사용할 수 없습니다. 형식을 확인하세요.","OVERFLOW":"회사명 {count}개를 붙여넣었습니다. 한 번에 최대 10개까지 실행할 수 있습니다.","PROCESS_ALL":"Datablist에서 회사명 {count}개 모두 정리","NUMBER":"#","COMPANY_NAME":"회사명","DOMAIN":"도메인","CONFIDENCE":"신뢰도","STATUS":"상태","NO_MATCH":"정리된 회사명이 반환되지 않았습니다","COPY_ROW":"정리된 회사명 복사","START_OVER":"처음부터 다시 시작","COPY_ALL":"표준화된 회사명 복사","DOWNLOAD_CSV":"CSV 다운로드","DOWNLOAD_FILENAME":"cleaned-company-names.csv","HIGH":"높음","MEDIUM":"보통","LOW":"낮음","VERY_LOW":"매우 낮음","PRIVACY":"입력값과 결과는 이 브라우저에서 24시간 동안 확인할 수 있습니다. Datablist는 실행 완료 및 지원을 위해 작업 데이터를 더 오래 보관합니다.","UNAVAILABLE":"이 무료 도구는 일시적으로 사용할 수 없습니다. Datablist 앱은 계속 이용할 수 있습니다.","QUOTA_REACHED":"이 무료 도구의 일일 한도를 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하거나 Datablist에서 계속 진행하세요.","QUOTA_RUN_TOO_LARGE":"이번 조회는 이 무료 도구의 남은 일일 한도를 초과합니다. 회사명 수를 줄이거나 {hours}시간 {minutes}분 후 다시 이용하세요.","QUOTA_REMAINING":"오늘 {limit}크레딧 중 {remaining}크레딧 남음","QUOTA_REDUCE":"오늘 {remaining}크레딧이 남았습니다. 회사명 수를 줄여 보세요.","QUOTA_WAIT":"일일 한도를 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하세요.","CHALLENGE_REQUIRED":"조회 실행 전에 인증을 완료하세요.","RUN_FAILED":"실행을 완료하지 못했습니다. 사용 가능한 결과를 열거나 나중에 다시 시도하세요.","SUBMISSION_UNKNOWN":"조회가 시작되었는지 확인 중입니다. 이 페이지를 새로고침하여 상태를 확인하고, 다시 제출하지 마세요.","RETRY_STATUS":"현재 조회 상태를 확인할 수 없습니다. 이 페이지를 새로고침하여 다시 시도하세요.","EXPIRED":"이 결과는 더 이상 이 브라우저에서 확인할 수 없습니다.","BANNER":"무료 계정을 만들고 회사명 1,000개를 정리하기에 충분한 500크레딧을 받으세요. 카드 등록은 필요하지 않습니다.","BANNER_CTA":"무료 500크레딧 받기","RESULT_CTA":"더 큰 목록은 Datablist에서 정리하세요.","RESULT_CTA_BUTTON":"Datablist 열기","CSV_NAME":"이름","LOADING":"불러오는 중","ERROR":"오류","COMPLETE":"완료","HISTORY_TITLE":"최근 조회","HISTORY_DESCRIPTION":"결과를 이용할 수 있는 동안 최대 24시간까지 이 브라우저에서 조회 내역을 열거나 제거할 수 있습니다. 여기에서 제거해도 조회가 중단되거나 크레딧이 복구되지는 않습니다.","HISTORY_REMOVE":"이 브라우저에서 {name} 제거","HISTORY_COMPLETE":"완료","HISTORY_FAILED":"확인 필요","HISTORY_ATTENTION":"상태 확인 중","HISTORY_RUNNING":"진행 중","CLEAN_ONE":"회사명 정리","CLEAN_MANY":"회사명 정리","NORMALIZE_ALL":"{count}개 모두 표준화","ORIGINAL":"원본","NORMALIZED":"표준화 결과","WHAT_CHANGED":"변경 사항","REVIEW":"검토","DUPLICATE_OF":"“{name}”의 중복 항목","NO_CHANGE":"변경할 필요 없음","CHANGES":{"spaces":"불필요한 공백 축소","quotes":"따옴표 제거","suffix":"법인 접미사 제거","casing":"대소문자 표기 수정"},"COPY":"표준화된 회사명 복사","COPIED":"복사됨","DOWNLOAD":"CSV 다운로드","REVIEW_CTA_ONE":"1개 행이 검토로 표시되었습니다. 정리 도구가 해당 결과를 확신하지 못했습니다. Datablist의 AI 기반 enrichment는 단순한 접미사 목록이 아니라 문맥을 이해합니다.","REVIEW_CTA_MANY":"{count}개 행이 검토로 표시되었습니다. 정리 도구가 해당 결과를 확신하지 못했습니다. Datablist의 AI 기반 enrichment는 단순한 접미사 목록이 아니라 문맥을 이해합니다.","SEE_ENRICHMENT":"Enrichment 보기","DEBUG_NOTICE":"베타 액션의 디버그 결과입니다. 제출된 인물을 조회한 결과가 아닌 테스트 데이터입니다.","CHANGED":"변경됨","UNCHANGED":"변경 없음","COPY_ERROR":"복사하지 못했습니다. 다시 시도하거나 CSV를 다운로드하세요.","MORE_OPTIONS":"추가 옵션","KEEP_SUFFIX_LABEL":"법인 접미사 유지","KEEP_SUFFIX_HELP":"정리된 회사명에 Inc., LLC, Ltd., GmbH 등의 법인 형태를 유지합니다.","RUN_OPTIONS":"실행 옵션","OPTION_ON":"켜짐","OPTION_OFF":"꺼짐","CONFIDENCE_HELP":"정리된 이름이 회사의 정체성을 유지하는지 AI가 추정한 신뢰도입니다. 외부 검증 결과가 아닙니다."}},"ToolsInstagramFollowerScraper":{"CONTENT":{"META_TITLE":"무료 Instagram 팔로워 스크래퍼 | Datablist","META_SOCIAL_TITLE":"무료 Instagram 팔로워 스크래퍼","META_DESCRIPTION":"무료 온라인 Instagram 팔로워 스크래퍼입니다. 로그인, 쿠키 또는 브라우저 확장 프로그램 없이 모든 공개 Instagram 프로필에서 팔로워를 추출하세요.","SCHEMA_NAME":"Datablist 무료 Instagram 팔로워 스크래퍼","BREADCRUMB_CURRENT":"Instagram 팔로워 스크래퍼","HERO":{"TITLE":"무료 Instagram 팔로워 스크래퍼","DESCRIPTION":"Instagram 프로필 URL 또는 핸들을 하나 입력하고 실행당 최대 100명의 팔로워를 확보하세요. 로그인이나 쿠키가 필요하지 않습니다."},"SAFETY":{"TITLE":"Instagram 계정을 위험에 빠뜨리지 않는 이유","ITEMS":[{"safe":true,"label":"Datablist","body":"공개 프로필 URL 또는 핸들만 필요합니다. 개인 Instagram 계정에는 절대 연결하지 않으므로 로그인 정보, 쿠키 또는 브라우저 확장 프로그램이 필요하지 않습니다."},{"safe":false,"label":"Chrome 확장 프로그램(IG Exporter 등)","body":"활성 브라우저 세션을 가로채 scraping을 자동화합니다. Meta는 세션 내의 빠른 스크롤과 API 요청을 모니터링하므로 즉시 활동이 차단되거나 계정이 정지될 수 있습니다."},{"safe":false,"label":"쿠키 기반 클라우드 스크래퍼(PhantomBuster)","body":"개발자 도구에서 민감한 sessionid 쿠키를 복사하여 붙여 넣어야 합니다. 로그인된 Instagram 신원을 외부 서버에 위임하므로 계정이 심각한 위험에 노출됩니다."}]},"SOCIAL":{"TITLE":"스타트업과 엔터프라이즈가 신뢰하는 서비스","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"lead generation 도구"}],"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":"이용 방법","STEPS":[{"step":1,"title":"Instagram 프로필 또는 사용자 이름 입력","body":"공개 Instagram 프로필 URL(예: instagram.com/nike), 핸들(@nike) 또는 숫자로 된 사용자 ID를 붙여 넣으세요. Datablist 전체 애플리케이션에서는 여러 인플루언서 프로필을 한 번에 붙여 넣을 수도 있습니다."},{"step":2,"title":"Datablist 클라우드 서버에서 안전하게 scraping","body":"추출은 Datablist의 전용 인프라에서 전적으로 실행됩니다. Instagram 비밀번호, 2단계 인증 코드 또는 세션 쿠키(sessionid)를 절대 요구하지 않으므로 개인 계정을 활동 차단이나 이용 정지 위험으로부터 100% 안전하게 보호합니다."},{"step":3,"title":"내보내고 email 및 전화번호로 보강","body":"정리된 팔로워 표를 CSV 또는 Excel로 다운로드하세요. Datablist에서는 scraping한 핸들을 15개 이상의 email 및 전화번호 제공업체에 순차적으로 조회하여 크리에이터 캠페인을 위한 검증된 연락처 정보를 찾을 수 있습니다."}],"CTA":{"TITLE":"미리보기 10개 행이 아닌 전체 팔로워 목록을 scraping하세요","BODY":"무료 Datablist 계정에는 Instagram 로그인 없이 사용할 수 있는 500크레딧(최대 50,000명의 팔로워)이 포함됩니다.","LABEL":"무료 계정 만들기"}},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"잠재고객 및 경쟁사 분석","body":"경쟁 브랜드와 틈새 시장 리더를 정확히 누가 팔로우하는지 파악하세요. 공통 관심사, 인증 비율 및 잠재고객 인구 통계를 분석하여 시장 포지셔닝을 정교하게 다듬을 수 있습니다.","ctaLabel":"Lead 목록 구축 가이드","ctaHref":"/how-to/lead-list-building-guide"},{"title":"인플루언서 마케팅 및 크리에이터 발굴","body":"업계 최고의 크리에이터로부터 팔로워 목록을 추출하고, 인증된 프로필 또는 공개 연락처 태그를 기준으로 필터링하여 전환율 높은 협업 후보 목록을 구축하세요.","ctaLabel":"인플루언서 Scraping 가이드","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"Instagram leads의 email 찾기","body":"Instagram 핸들만으로는 B2B outreach를 직접 진행할 수 없습니다. Datablist의 waterfall email finder로 팔로워 목록을 조회하여 검증된 업무용 email을 찾으세요.","ctaLabel":"대규모 Email 찾기","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"계정 이용 정지 없이 대규모 scraping","body":"기존 도구를 사용하면 anti-scraping 알고리즘 때문에 Instagram 계정을 희생해야 합니다. Datablist의 서버 측 엔진은 계정 위험을 완전히 제거합니다.","ctaLabel":"Instagram 팔로워 문서","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Instagram 팔로워 스크래퍼 비교","INTRO":"모든 경쟁 도구는 활성 브라우저에서 클릭을 자동화하거나 민감한 세션 쿠키를 붙여 넣도록 요구합니다. 격리된 클라우드 인프라에서 scraping을 실행하는 플랫폼은 Datablist뿐입니다.","HEADERS":["도구","IG 계정","필요 항목","요금","팔로워당 비용","데이터 보강"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"계정에 절대 연결하지 않음","needs":"프로필 URL 또는 @핸들","cost":"월 $25 또는 무료 체험","perFollower":"$$0.0001(0.01크레딧)","enrichment":"Email 및 전화번호 Waterfall","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"위험 있음","needs":"사용자의 세션 쿠키(sessionid)","cost":"월 $69","perFollower":"시간 기반(~$0.003)","enrichment":"별도의 Phantom 필요","best":false},{"tool":"Apify","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/apify.svg","safety":"위험 있음 / 기술 지식 필요","needs":"API 설정 및 actor 구성","cost":"월 $49","perFollower":"컴퓨팅 단위(변동)","enrichment":"없음(원시 데이터만 제공)","best":false},{"tool":"Chrome 확장 프로그램","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/chrome.svg","safety":"높은 위험(계정 이용 정지)","needs":"계정에 설치된 확장 프로그램","cost":"월 $15","perFollower":"~$0.001","enrichment":"없음","best":false}],"NOTE":"가격은 2026년 9월에 확인된 각 도구의 월별 결제 기준 최저 요금제입니다. Datablist의 팔로워 비용은 월 $25 요금제에서 팔로워당 0.01크레딧을 기준으로 계산했습니다.","SOURCES":[{"n":1,"label":"Datablist 요금","href":"https://www.datablist.com/pricing"},{"n":2,"label":"PhantomBuster 요금","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify 요금","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Instagram 로그인을 절대 요구하지 않는 유일한 스크래퍼","BODY":"500크레딧으로 무료로 시작하세요. 확장 프로그램, 세션 쿠키 또는 신용카드가 필요하지 않습니다.","LABEL":"무료 계정 만들기"}},"RELATED":{"TITLE":"관련 도구","EYEBROW":"대량으로 처리해야 하나요?","ENRICHMENT":{"label":"Instagram 팔로워 스크래퍼","href":"/sources/instagram-followers","blurb":"여러 프로필에서 최대 2,000,000명의 팔로워를 대량으로 scraping하고, 크리에이터별로 필터링한 후 검증된 email로 보강하세요."},"TOOLS":[{"label":"무료 LinkedIn 프로필 스크래퍼","href":"/tools/linkedin-profile-scraper","blurb":"모든 LinkedIn 프로필에서 검증된 경력, 기술 및 현재 직책을 추출하세요."},{"label":"무료 Sales Navigator 스크래퍼","href":"/tools/sales-navigator-scraper","blurb":"LinkedIn 계정을 연결하지 않고 Sales Navigator 검색에서 leads를 추출하세요."},{"label":"무료 Email Finder","href":"/tools/email-finder","blurb":"이름과 도메인을 사용하여 15개 이상의 제공업체에서 waterfall 방식으로 email을 조회하세요."}]},"FAQ":{"TITLE":"자주 묻는 질문","ITEMS":[{"question":"Instagram 계정을 연결하거나 로그인 정보를 제공해야 하나요?","answer":"아니요. Datablist는 Instagram 비밀번호, 2단계 인증 코드 또는 세션 쿠키(sessionid)를 절대 요구하지 않습니다. 모든 scraping은 Datablist의 전용 클라우드 서버에서 실행되므로 개인 또는 비즈니스 Instagram 프로필이 연결되지 않으며, 플래그 처리되거나 이용 정지될 수 없습니다."},{"question":"100,000명이 넘는 팔로워도 scraping할 수 있나요?","answer":"예. Datablist는 100,000명이 넘는 팔로워를 scraping할 수 있으며, 컬렉션당 최대 2,000,000개 레코드의 데이터 세트를 지원합니다. 추출이 Datablist의 전용 클라우드 인프라에서 전적으로 실행되므로 대규모 팔로워 목록도 브라우저 메모리 충돌이나 사용량 제한으로 인한 중단 없이 계속 처리됩니다."},{"question":"Instagram 팔로워를 scraping하는 것은 합법인가요?","answer":"예. 공개 프로필에서 누구나 접근할 수 있는 데이터를 scraping하는 것은 주요 관할권에서 합법입니다. Datablist는 로그인하지 않은 방문자도 볼 수 있는 데이터만 추출하며 비공개 프로필의 제한을 우회하지 않습니다."},{"question":"어떤 데이터 항목이 추출되며, email 주소도 찾을 수 있나요?","answer":"이 무료 도구는 사용자 ID, 사용자 이름, 전체 이름, 프로필 URL, 계정 공개 상태 및 인증 상태를 반환합니다. 공개 상태나 인증 여부를 알 수 없는 값은 미지정 상태로 유지됩니다. 추출 후에는 scraping한 핸들을 Datablist의 Waterfall Email 및 전화번호 finder를 통해 15개 이상의 데이터 제공업체에 순차적으로 조회하여 검증된 연락처 정보를 찾을 수 있습니다."},{"question":"Datablist에서 Instagram 팔로워를 scraping하는 데 비용이 얼마나 드나요?","answer":"팔로워 scraping 비용은 팔로워당 0.01크레딧(1크레딧당 팔로워 100명)입니다. 무료 Datablist 계정에는 가입 시 500개의 무료 크레딧(팔로워 50,000명 처리 가능)이 포함됩니다. 유료 요금제는 만료되지 않는 5,000크레딧(팔로워 500,000명 처리 가능)을 제공하며 월 $25부터 시작합니다."}]}},"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 팔로워","DESCRIPTION":"Instagram 프로필 URL, 사용자 이름 또는 핸들","PLACEHOLDERS":["https://www.instagram.com/nike/ 또는 @nike"],"ROW_LABEL":"Instagram 프로필","REMOVE_ROW":"프로필 삭제","ADD_ROW":"프로필 추가","ROW_LIMIT":"실행당 프로필 1개 및 최대 100명의 팔로워를 처리할 수 있습니다.","EMPTY":"시작하려면 Instagram 프로필을 입력하세요","READY_ONE":"프로필 1개 준비됨","READY_MANY":"프로필 {count}개 준비됨","FIND_ONE":"팔로워 Scraping","FIND_MANY":"팔로워 Scraping","SAMPLE_BUTTON":"샘플 결과 보기","SAMPLE_NOTICE":"가상의 팔로워로 구성된 예시 샘플입니다. 이 미리보기는 브라우저에서 실행되며 크레딧을 사용하지 않습니다.","REJECTED_ONE":"이 프로필을 사용할 수 없습니다. 형식을 확인하세요.","REJECTED_MANY":"입력 {count}개를 사용할 수 없습니다. 형식을 확인하세요.","OVERFLOW":"{count}개의 프로필을 붙여 넣었습니다. 이 무료 도구에서는 한 번에 하나만 처리할 수 있습니다.","PROCESS_ALL":"Datablist에서 프로필 {count}개 모두 Scraping","NO_MATCH":"이 프로필에서 반환된 팔로워가 없습니다.","COPY_ROW":"{name}의 프로필 URL 복사","START_OVER":"처음부터 다시 시작","COPY_ALL":"CSV 복사","DOWNLOAD_CSV":"CSV 다운로드","COPY_ERROR":"복사하지 못했습니다. 다시 시도하거나 CSV를 다운로드하세요.","PRIVACY":"입력 내용과 결과는 이 브라우저에서 24시간 동안 이용할 수 있습니다. Datablist는 작업 실행을 완료하고 지원하기 위해 작업 데이터를 더 오래 보관합니다.","UNAVAILABLE":"이 무료 도구는 일시적으로 사용할 수 없습니다. Datablist 앱은 계속 이용할 수 있습니다.","QUOTA_REACHED":"이 무료 도구의 일일 할당량을 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하거나 Datablist에서 계속 진행하세요.","QUOTA_RUN_TOO_LARGE":"이 scraping 작업은 남은 일일 할당량을 초과합니다. {hours}시간 {minutes}분 후 다시 이용하세요.","QUOTA_REMAINING":"오늘 {limit}크레딧 중 {remaining}크레딧 남음","QUOTA_REDUCE":"오늘 {remaining}크레딧이 남았습니다. 일일 할당량이 초기화될 때까지 기다려 주세요.","QUOTA_WAIT":"일일 할당량을 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하세요.","CHALLENGE_REQUIRED":"팔로워를 scraping하기 전에 인증을 완료하세요.","RUN_FAILED":"Scraping을 완료하지 못했습니다. 확보된 팔로워는 아래에 표시됩니다.","SUBMISSION_UNKNOWN":"Scraping 작업이 시작되었는지 확인하고 있습니다. 상태를 확인하려면 페이지를 새로고침해 주세요. 다시 제출하지 마세요.","RETRY_STATUS":"현재 scraping 상태를 확인할 수 없습니다. 이 페이지를 새로고침하여 다시 시도하세요.","EXPIRED":"이 결과는 더 이상 이 브라우저에서 이용할 수 없습니다.","BANNER":"Datablist에서 더 큰 팔로워 목록을 scraping하고 데이터를 보강하세요. 카드 없이 500개의 무료 크레딧으로 시작할 수 있습니다.","BANNER_CTA":"무료 크레딧 500개 받기","RESULT_CTA":"Datablist에서 더 큰 팔로워 목록을 scraping하세요.","RESULT_CTA_BUTTON":"Datablist 열기","HISTORY_TITLE":"최근 scraping 작업","HISTORY_DESCRIPTION":"최대 24시간 동안 이 브라우저에서 scraping 작업을 열거나 삭제할 수 있습니다. 여기에서 삭제해도 scraping이 중지되거나 크레딧이 복원되지는 않습니다.","HISTORY_REMOVE":"이 브라우저에서 {name} 삭제","HISTORY_COMPLETE":"완료","HISTORY_FAILED":"확인 필요","HISTORY_ATTENTION":"상태 확인 중","HISTORY_RUNNING":"진행 중","DEBUG_NOTICE":"베타 작업의 디버그 결과입니다. 테스트 데이터입니다.","LABEL":"Instagram 프로필 URL, 사용자 이름 또는 핸들","PLACEHOLDER":"https://www.instagram.com/cristiano/ 또는 @nike","SCRAPE":"팔로워 Scraping","SCRAPING":"Scraping 중","SAFETY":"Instagram 로그인, 쿠키 또는 비밀번호가 필요하지 않습니다. 사용자 계정에는 절대 연결하지 않습니다.","SAMPLES":"또는 샘플을 사용해 보세요:","ERRORS":{"EMPTY":{"REASON":"Instagram 프로필 URL, 사용자 이름 또는 핸들을 입력해 주세요."},"USERNAME":{"REASON":"유효한 Instagram 사용자 이름을 입력해 주세요."},"TOO_LONG":{"REASON":"Instagram 사용자 이름은 30자를 초과할 수 없습니다."},"CHARACTERS":{"REASON":"사용자 이름에 유효하지 않은 문자가 포함되어 있습니다.","HINT":"Instagram 사용자 이름에는 문자, 숫자, 마침표 및 밑줄만 사용할 수 있습니다."},"RESERVED_HANDLE":{"REASON":"\"{value}\"은(는) 사용자 프로필이 아니라 Instagram 시스템 페이지입니다."},"BAD_URL":{"REASON":"유효한 URL 또는 사용자 이름이 아닌 것 같습니다.","HINT":"Instagram 프로필 링크(예: https://www.instagram.com/cristiano/) 또는 핸들(@cristiano)을 입력하세요."},"WRONG_SITE":{"REASON":"Instagram 링크가 아니라 {value} 링크입니다.","HINT":"Instagram 프로필 링크(예: instagram.com/username) 또는 핸들을 입력해 주세요."},"HOMEPAGE":{"REASON":"특정 프로필이 아니라 Instagram 홈페이지입니다.","HINT":"instagram.com/nike/처럼 끝에 사용자 이름이 있는 프로필 URL을 붙여 넣으세요."},"POST":{"REASON":"프로필이 아니라 개별 Instagram 게시물 또는 릴스 링크입니다.","HINT":"팔로워를 scraping하려면 작성자의 프로필 페이지를 열고 해당 URL을 복사하세요."},"STORY":{"REASON":"Instagram Story 링크입니다.","HINT":"Story는 일시적이며 공개 팔로워 목록이 없습니다. 크리에이터의 프로필 URL을 붙여 넣어 주세요."},"EXPLORE":{"REASON":"프로필이 아니라 Instagram 태그 또는 탐색 페이지입니다.","HINT":"팔로워를 scraping하려면 크리에이터, 브랜드 또는 인플루언서의 프로필 URL을 입력하세요."},"SYSTEM_PAGE":{"REASON":"사용자 프로필이 아니라 Instagram 시스템 페이지를 가리킵니다."},"PROFILE_USERNAME":{"REASON":"이 URL의 프로필 사용자 이름이 유효하지 않습니다.","HINT":"URL이 https://www.instagram.com/username/ 형식과 일치하는지 확인하세요."}},"SCRAPE_ERROR":"Scraping을 완료하지 못했습니다. 잠시 후 다시 시도해 주세요.","RESULTS":"@{handle}의 첫 팔로워 {count}명을 무료로 확인하세요.","USER":"사용자","USER_ID":"사용자 ID","ACCOUNT_PRIVACY":"공개 상태","PROFILE":"프로필","ID":"ID: {id}","VERIFIED":"인증됨","PRIVATE":"비공개","PUBLIC":"공개","VIEW":"보기","COPIED":"복사됨","COPY":"복사","DOWNLOAD":"CSV 다운로드","SCRAPE_FULL":"전체 목록 Scraping","RESULT_NOTE":"무료 미리보기에는 연락처 정보 없이 팔로워 {count}명이 표시됩니다. 최대 2,000,000명의 팔로워를 대량으로 scraping하고 email 및 전화번호 finder에 순차적으로 조회하려면 Datablist의 다음 도구를 사용하세요:","SOURCE_LABEL":"Instagram 팔로워 스크래퍼","CSV_HEADER":"사용자 ID,사용자 이름,전체 이름,인증됨,비공개,프로필 URL,팔로우 대상","YES":"예","NO":"아니요","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"무료 LinkedIn 프로필 스크래퍼 | Datablist","META_SOCIAL_TITLE":"무료 LinkedIn 프로필 스크래퍼","META_DESCRIPTION":"LinkedIn 계정을 연결하지 않고 LinkedIn 개인 프로필을 조회하세요. 이용 가능한 신원, 경력 및 학력 데이터를 확인할 수 있습니다. 일일 한도가 적용됩니다.","SCHEMA_NAME":"Datablist 무료 LinkedIn 프로필 스크래퍼","BREADCRUMB_CURRENT":"LinkedIn 프로필 스크래퍼","HERO":{"TITLE":"무료 LinkedIn 프로필 스크래퍼","DESCRIPTION":"LinkedIn 또는 Sales Navigator 개인 URL을 붙여 넣어 이용 가능한 프로필, 경력 및 학력 정보를 확인하세요. LinkedIn 로그인이나 세션 쿠키가 필요하지 않습니다."},"SAFETY":{"TITLE":"LinkedIn 계정에 연결하지 않습니다","ITEMS":[{"safe":true,"label":"Datablist","body":"프로필 URL만 있으면 됩니다. LinkedIn 로그인, 세션 쿠키 또는 브라우저 확장 프로그램 없이 Datablist 인프라에서 처리됩니다."},{"safe":false,"label":"Chrome 확장 프로그램","body":"Evaboot, Skrapp 및 유사한 브라우저 도구는 로그인된 브라우저 세션 안에서 클릭과 페이지 조회를 자동화합니다. LinkedIn은 클라이언트 측 자동화를 사용하는 계정을 감지하고 제한합니다."},{"safe":false,"label":"쿠키 기반 클라우드 도구","body":"Phantombuster와 클라우드 액터는 민감한 li_at 세션 쿠키를 복사해 붙여 넣도록 요구합니다. 활성 세션을 타사의 공유 서버에 넘기면 계정이 감지되거나 차단될 위험이 있습니다."}]},"SOCIAL":{"TITLE":"스타트업과 엔터프라이즈가 신뢰하는 서비스","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"lead generation 도구"}],"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":"작동 방식","STEPS":[{"step":1,"title":"LinkedIn 프로필 URL 복사","body":"LinkedIn 또는 Sales Navigator에서 스크래핑할 프로필로 이동한 다음 브라우저 주소창에서 링크를 복사하세요. 표준 프로필 URL(linkedin.com/in/...)과 Sales Navigator lead URL을 모두 지원합니다."},{"step":2,"title":"여기에 URL 붙여 넣기","body":"위 입력란에 URL을 붙여 넣으세요. 처리하기 전에 trk, lipi 같은 추적 매개변수를 자동으로 제거합니다. 로그인, 비밀번호, Chrome 확장 프로그램 또는 세션 쿠키는 전혀 필요하지 않습니다."},{"step":3,"title":"구조화된 프로필 정보 가져오기","body":"추출 작업은 개인 LinkedIn 계정과 완전히 분리된 Datablist 전용 인프라에서 실행됩니다. 이름, 헤드라인, 요약, 현재 고용주의 기업 특성, 이전 경력 및 학력 등 정리된 구조화 데이터를 받을 수 있습니다."}],"CTA":{"TITLE":"프로필 20개를 무료로 일괄 스크래핑","BODY":"무료 Datablist 계정에는 500크레딧이 제공됩니다. CSV를 업로드하고 몇 분 만에 전체 목록을 보강하세요.","LABEL":"무료 계정 만들기"}},"DATA":{"TITLE":"각 LinkedIn 프로필에서 얻을 수 있는 데이터","ITEMS":[{"icon":"UserCheck","title":"신원 및 위치","description":"잠재 고객을 정확히 식별하고 타깃 그룹을 세분화하기 위한 핵심 개인 데이터입니다.","fields":["이름","성","전체 이름","헤드라인","소개 / 요약","도시, 주 및 국가","국가 코드(ISO-2)"]},{"icon":"Database","title":"현재 직책 및 기업 특성","description":"ICP 적합성을 평가하고 타깃 outbound 메시지를 강화하기 위한 상세 고용주 데이터입니다.","fields":["직책","회사명","회사 LinkedIn URL","회사 웹사이트","산업","직원 수 범위","직책 시작일 및 재직 기간","직책 설명"]},{"icon":"BriefcaseIcon","title":"커리어 및 경력","description":"이전 직책을 최대 2개까지 확인할 수 있습니다.","fields":["이전 직책 2개","이전 회사명","재직 기간 및 날짜","직책 설명 및 성과"]},{"icon":"Layers","title":"학력 및 언어","description":"이용 가능한 학력 및 언어 정보입니다.","fields":["대학교 / 학교명","취득 학위","전공","졸업일","구사 언어"]}]},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"콜드 email 및 메시지 개인화","body":"잠재 고객의 경력, 최근 이직 및 자기소개 요약을 스크래핑하여 공감을 얻고 전환을 유도하는 초개인화 콜드 outreach를 작성하세요.","ctaLabel":"Lead 목록 구축 가이드","ctaHref":"/how-to/lead-list-building-guide"},{"title":"후보자 소싱 및 채용","body":"이용 가능한 이전 고용주와 학력 정보를 포함한 완전한 후보자 프로필을 추출하여 체계적인 인재 데이터베이스에 바로 저장하세요.","ctaLabel":"LinkedIn 정보 스크래핑 가이드","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"검증된 업무용 email 찾기","body":"20개 이상의 제공업체를 활용하는 Datablist의 워터폴 email 보강을 통해 스크래핑한 이름과 회사 웹사이트를 검증된 업무용 email 주소로 전환하세요.","ctaLabel":"대규모 Email 찾기","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"CRM 연락처 및 계정 정보 갱신","body":"Salesforce 또는 HubSpot 연락처를 최신 상태로 유지하세요. 수동 데이터 입력 없이 이직, 승진 및 변경된 기업 특성을 자동으로 감지합니다.","ctaLabel":"CRM 데이터 보강 가이드","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"LinkedIn 프로필 스크래퍼 비교","INTRO":"대부분의 LinkedIn 스크래퍼는 활성 세션을 자동화하거나 예측하기 어려운 실행 시간을 기준으로 요금을 청구합니다. Datablist는 자체 클라우드 인프라에서 독립적으로 작동하며 프로필별 요금을 투명하게 제공합니다.","HEADERS":["도구","LinkedIn 계정","필요 항목","요금","프로필당 비용","대량 CSV"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/linkedin-profile-scraper/datablist.png","values":["연결하지 않음","공개 프로필 URL만 필요","$$25/월","$$0.025","예, 100k+행"],"best":true},{"tool":"Phantombuster","favicon":"/free-tools/linkedin-profile-scraper/phantombuster.png","values":["위험 있음","세션 쿠키(li_at)","$$69/월","분당 청구","제한적"],"best":false},{"tool":"Apify","favicon":"/free-tools/linkedin-profile-scraper/apify.svg","values":["위험 있음","액터 설정 / 프록시 키","$$29/월","변동","API/JSON 이용"],"best":false},{"tool":"Clay","favicon":"/free-tools/linkedin-profile-scraper/clay.png","values":["안전함(데이터베이스 조회)","데이터베이스 조회(실시간 아님)","$$185/월","$$0.05 - $0.10","예"],"best":false},{"tool":"Evaboot","favicon":"/free-tools/linkedin-profile-scraper/evaboot.png","values":["위험 있음","계정에 설치하는 확장 프로그램","$$9/월","$$0.09","Sales Nav만 지원"],"best":false}],"NOTE":"가격은 2026년 9월 각 공급업체의 실제 요금 페이지에서 확인한 월간 결제 기준 최저 요금제입니다. Datablist의 프로필당 비용은 월 $25 요금제에서 프로필당 25크레딧을 기준으로 계산했습니다.","SOURCES":[{"n":1,"label":"Datablist 요금","href":"/pricing"},{"n":2,"label":"Phantombuster 요금","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify 요금","href":"https://apify.com/pricing"},{"n":4,"label":"Clay 요금","href":"https://clay.com/pricing"},{"n":5,"label":"Evaboot 요금","href":"https://evaboot.com/pricing"}],"CTA":{"TITLE":"LinkedIn 계정에 연결하지 않는 유일한 스크래퍼","BODY":"500크레딧으로 무료로 시작하세요. 확장 프로그램, 세션 쿠키, 신용카드가 필요하지 않습니다.","LABEL":"무료 계정 만들기"}},"RELATED":{"TITLE":"관련 도구","EYEBROW":"대량 처리가 필요하신가요?","ENRICHMENT":{"label":"LinkedIn 프로필 스크래퍼","href":"/enrichments/linkedin-profile-scraper-bulk","blurb":"LinkedIn 계정을 연결하지 않고 Datablist에서 CSV로 더 큰 LinkedIn 프로필 목록을 처리하세요."},"TOOLS":[{"label":"무료 Sales Navigator 스크래퍼","href":"/tools/sales-navigator-scraper","blurb":"계정을 연결하지 않고 Sales Navigator 검색 결과에서 leads를 추출하세요."},{"label":"무료 Email Finder","href":"/tools/email-finder","blurb":"개인의 이름과 회사 도메인으로 검증된 업무용 email을 찾으세요."},{"label":"무료 도메인 찾기","href":"/tools/domain-finder","blurb":"신뢰도 점수와 함께 회사명을 공식 웹사이트 도메인으로 변환하세요."}]},"FAQ":{"TITLE":"자주 묻는 질문","ITEMS":[{"question":"Datablist가 제 LinkedIn 계정에 연결하거나 세션 쿠키를 사용하나요?","answer":"아니요. Datablist는 LinkedIn 계정에 절대 연결하지 않으며 비밀번호나 세션 쿠키(li_at)를 요청하지 않습니다. 모든 스크래핑은 공개 프로필 데이터를 사용하여 전용 클라우드 인프라에서 완전히 실행되므로 계정 제한이나 차단 위험이 없습니다."},{"question":"스크래핑한 프로필의 검증된 업무용 email을 찾을 수 있나요?","answer":"예. Datablist에서는 스크래핑한 이름과 회사 도메인을 20개 이상의 데이터 제공업체를 활용하는 Waterfall Email Finder에 순차적으로 적용하여 email 주소를 찾고 검증할 수 있으며, 확인된 일치 항목에 대해서만 크레딧을 지불합니다."},{"question":"각 LinkedIn 프로필에서 어떤 데이터 항목을 추출하나요?","answer":"이 도구는 이용 가능한 신원, 헤드라인, 요약, 위치, 언어, 연결 수, 현재 직책, 이전 직책 최대 2개 및 첫 번째 학력 기록을 반환합니다. 누락된 필드는 비어 있습니다. 스킬, 사진 및 URN은 포함되지 않습니다."},{"question":"LinkedIn 프로필을 대량으로 스크래핑하고 Sales Navigator URL을 사용할 수 있나요?","answer":"예. Datablist는 표준 LinkedIn 프로필 URL과 Sales Navigator lead URL을 지원합니다. 수천 개의 링크가 포함된 CSV를 업로드하여 약 3분에 프로필 1,000개 속도로 대량 스크래핑할 수 있습니다."},{"question":"Datablist에서 프로필을 스크래핑하는 비용은 얼마인가요?","answer":"스크래핑 비용은 프로필당 25크레딧이며 캐시된 데이터는 20크레딧입니다. 모든 무료 계정에는 가입 시 무료 500크레딧이 제공되어 전체 프로필 20개를 처리할 수 있습니다. 유료 요금제는 5,000크레딧에 월 $25부터 시작하며 크레딧은 만료되지 않습니다."},{"question":"이 도구에서 캐시된 프로필 데이터를 반환할 수 있나요?","answer":"예. 이 무료 도구는 캐시된 프로필을 지원합니다. 데이터가 불완전하거나 최신 상태가 아닐 수 있습니다. 이용 가능한 경우 현재 직책 1개, 이전 직책 최대 2개 및 학력 기록 1개를 반환하며 스킬, 프로필 사진 또는 LinkedIn URN은 반환하지 않습니다. 실행할 때마다 세션 및 IP당 25크레딧인 일일 한도에서 25크레딧이 예약됩니다."}]}},"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":"프로필","DESCRIPTION":"LinkedIn 프로필 URL 또는 Sales Navigator lead URL 하나를 입력하세요","PLACEHOLDERS":["https://www.linkedin.com/in/username 또는 https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"LinkedIn 프로필 URL","REMOVE_ROW":"{number}번 행 삭제","ADD_ROW":"다른 행 추가","ROW_LIMIT":"한 번 실행할 때 LinkedIn 프로필 하나만 처리할 수 있습니다.","EMPTY":"시작하려면 LinkedIn 프로필 URL을 붙여 넣으세요","READY_ONE":"이 프로필을 조회할 준비가 되었습니다","READY_MANY":"이 프로필을 조회할 준비가 되었습니다","FIND_ONE":"프로필 스크래핑","FIND_MANY":"프로필 스크래핑","SAMPLE_BUTTON":"샘플 결과 보기","SAMPLE_NOTICE":"예시용 샘플 결과입니다. 이 미리보기에는 크레딧이 사용되지 않습니다.","REJECTED_ONE":"입력 하나를 사용할 수 없습니다. 형식을 확인하세요.","REJECTED_MANY":"입력 {count}개를 사용할 수 없습니다. 형식을 확인하세요.","OVERFLOW":"한 번에 프로필 하나만 실행할 수 있습니다.","PROCESS_ALL":"{count}개 모두 처리","NUMBER":"#","COMPANY_NAME":"회사명","DOMAIN":"도메인","CONFIDENCE":"신뢰도","STATUS":"상태","NO_MATCH":"프로필 데이터를 찾을 수 없음","COPY_ROW":"{name}의 도메인 복사","START_OVER":"처음부터 다시 시작","COPY_ALL":"CSV 복사","DOWNLOAD_CSV":"CSV 다운로드","DOWNLOAD_FILENAME":"linkedin-profile.csv","DOWNLOAD_JSON":"JSON 다운로드","DOWNLOAD_JSON_FILENAME":"linkedin-profile.json","HIGH":"높음","MEDIUM":"중간","LOW":"낮음","VERY_LOW":"매우 낮음","PRIVACY":"입력 내용과 결과는 이 브라우저에서 24시간 동안 확인할 수 있습니다. Datablist는 실행 완료 및 지원을 위해 작업 데이터를 더 오래 보관합니다.","UNAVAILABLE":"현재 이 무료 도구를 일시적으로 사용할 수 없습니다. Datablist 앱은 계속 이용할 수 있습니다.","QUOTA_REACHED":"이 무료 도구의 일일 한도를 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하거나 Datablist에서 계속하세요.","QUOTA_RUN_TOO_LARGE":"이 조회는 이 무료 도구의 남은 일일 한도를 초과합니다. 이름 수를 줄이거나 {hours}시간 {minutes}분 후 다시 이용하세요.","QUOTA_REMAINING":"오늘 {limit}크레딧 중 {remaining}크레딧 남음","QUOTA_REDUCE":"오늘 {remaining}크레딧이 남았습니다. 이 프로필 조회에는 25크레딧이 필요합니다.","QUOTA_WAIT":"일일 한도를 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하세요.","CHALLENGE_REQUIRED":"조회를 실행하기 전에 인증을 완료하세요.","RUN_FAILED":"실행을 완료하지 못했습니다. 이용 가능한 결과를 열거나 나중에 다시 시도할 수 있습니다.","SUBMISSION_UNKNOWN":"조회가 시작되었는지 확인하고 있습니다. 상태를 확인하려면 이 페이지를 새로고침하세요. 다시 제출하지 마세요.","RETRY_STATUS":"현재 조회 상태를 확인할 수 없습니다. 페이지를 새로고침하여 다시 시도하세요.","EXPIRED":"이 결과는 더 이상 이 브라우저에서 사용할 수 없습니다.","BANNER":"더 많은 프로필이 필요하신가요? Datablist에서 계속하세요.","BANNER_CTA":"Datablist 열기","RESULT_CTA":"Datablist에서 LinkedIn 프로필 전체 목록을 보강하세요.","RESULT_CTA_BUTTON":"Datablist 열기","CSV_NAME":"이름","LOADING":"불러오는 중","ERROR":"오류","COMPLETE":"완료","HISTORY_TITLE":"최근 조회","HISTORY_DESCRIPTION":"결과를 이용할 수 있는 최대 24시간 동안 이 브라우저에서 조회를 열거나 삭제할 수 있습니다. 여기에서 삭제해도 조회가 중지되거나 크레딧이 복원되지는 않습니다.","HISTORY_REMOVE":"이 브라우저에서 {name} 삭제","HISTORY_COMPLETE":"완료","HISTORY_FAILED":"확인 필요","HISTORY_ATTENTION":"상태 확인 중","HISTORY_RUNNING":"진행 중","LABEL":"LinkedIn 프로필 URL 또는 Sales Navigator lead URL","PLACEHOLDER":"https://www.linkedin.com/in/username 또는 https://www.linkedin.com/sales/lead/...","SCRAPE":"프로필 스크래핑","SAFETY":"LinkedIn 로그인, 쿠키 또는 세션 ID가 필요하지 않습니다. 계정에 연결하지 않습니다.","SAMPLES":"또는 샘플을 사용해 보세요:","RESULTS":"{name}님의 추출된 상세 정보입니다. 무료로 제공됩니다.","TABLE":"데이터 테이블","OVERVIEW":"개요 카드","PROPERTY":"속성","VALUE":"추출된 값","IDENTITY":"신원 및 위치","CURRENT":"현재 직책 및 기업 특성","HISTORY":"경력({count}개 직책)","EDUCATION_SKILLS":"학력 및 언어","CONNECTIONS":"연결 수","LANGUAGES":"언어","NAME":"전체 이름","FIRST_LAST":"이름 및 성","HEADLINE":"헤드라인","SUMMARY":"소개 / 요약","LOCATION":"위치","LOCATION_VALUE":"{location} (국가: {country})","PROFILE_URL":"프로필 URL","URN":"LinkedIn URN","JOB":"현재 직책","COMPANY":"회사명","WEBSITE":"회사 웹사이트","INDUSTRY_SIZE":"산업 및 규모","DATES":"재직 기간 / 날짜","PREVIOUS_ROLE":"이전 직책 #{number}","ROLE_AT":"{company}의 {title}","EDUCATION":"학력 #{number}","SKILLS":"주요 스킬","BIO":"소개 / 자기소개","POSITION":"현재 직책","PAST":"이전 경력","COPY_CSV":"CSV 복사","COPIED_CSV":"CSV 복사 완료","COPY_JSON":"JSON 복사","COPIED_JSON":"JSON 복사 완료","DOWNLOAD":"CSV 다운로드","FULL_LIST":"전체 목록 스크래핑","RESULT_NOTE":"무료 미리보기는 개별 프로필에서 전체 데이터 항목을 추출합니다. 계정 위험 없이 CSV에서 수백 또는 수천 개의 프로필을 대량 스크래핑하려면 Datablist의 ","COPY_ERROR":"복사하지 못했습니다. 다시 시도하거나 CSV를 다운로드하세요.","CSV_HEADERS":["전체 이름","이름","성","헤드라인","직책","회사명","회사 웹사이트","회사 LinkedIn URL","산업","직원 수 범위","도시","주","국가","국가 코드","정규화된 프로필 URL","요약","이전 경력 1 직책","이전 경력 1 회사","이전 경력 1 날짜","이전 경력 2 직책","이전 경력 2 회사","이전 경력 2 날짜","교육기관","학위","언어"],"ERRORS":{"EMPTY":{"REASON":"LinkedIn 프로필 URL을 붙여 넣으세요.","HINT":"예: https://www.linkedin.com/in/satyanadella"},"INVALID_URL":{"REASON":"유효한 URL이 아닌 것 같습니다.","HINT":"linkedin.com으로 시작하는 전체 링크를 붙여 넣었는지 확인하세요"},"WRONG_SITE":{"REASON":"LinkedIn URL이 아닙니다.","HINT":"URL이 \"{value}\"을(를) 가리킵니다. LinkedIn 프로필 링크를 붙여 넣으세요."},"COMPANY":{"REASON":"개인 프로필이 아니라 회사 또는 기관 페이지입니다.","HINT":"개인을 스크래핑하려면 linkedin.com/in/username 형식의 개인 프로필 URL을 붙여 넣으세요"},"SEARCH":{"REASON":"프로필 URL이 아니라 검색 결과 URL입니다.","HINT":"검색 결과를 스크래핑하려면 무료 Sales Navigator 스크래퍼를 사용해 보세요. 이 도구를 사용하려면 프로필을 클릭하고 해당 개인 링크를 붙여 넣으세요."},"POST":{"REASON":"프로필이 아니라 LinkedIn 피드 게시물 또는 아티클입니다.","HINT":"작성자 이름을 클릭해 프로필을 연 다음 프로필 URL을 복사하여 붙여 넣으세요."},"PATH":{"REASON":"인식할 수 없는 LinkedIn 프로필 경로입니다.","HINT":"linkedin.com/in/username 형식의 프로필 링크 또는 Sales Navigator lead URL을 붙여 넣으세요."}},"VERIFIED_PROFILE":"검증된 프로필","SCRAPED_CLEAN":"프로필 데이터","ENRICHMENT_LABEL":"LinkedIn 프로필 스크래퍼","RESULT_NOTE_SUFFIX":" 대량 보강을 사용하세요.","DEBUG_NOTICE":"베타 액션의 디버그 결과입니다. 제출한 인물의 조회 결과가 아닌 테스트 데이터입니다.","CHANGED":"변경됨","UNCHANGED":"변경 없음","CSV_HEADER_LINE":"전체 이름|이름|성|헤드라인|직책|회사명|회사 웹사이트|회사 LinkedIn URL|산업|직원 수 범위|도시|주|국가|국가 코드|정규화된 프로필 URL|요약|이전 경력 1 직책|이전 경력 1 회사|이전 경력 1 날짜|이전 경력 2 직책|이전 경력 2 회사|이전 경력 2 날짜|교육기관|학위|언어"}},"UseCaseAiScraping":{"PAGE_TITLE":"코드 없이 AI 웹 스크래핑","PAGE_DESC":"간단한 prompt 하나로 수천 개 웹사이트를 스크래핑하세요. Datablist의 AI Agent가 요구를 이해하고 페이지를 탐색해 구조화된 데이터를 추출합니다—코드는 필요 없습니다.","USE_CASE":"활용 사례","HERO_TITLE":"코드 없이 AI 웹 스크래핑","HERO_DESC":"간단한 prompt 하나로 수천 개 웹사이트를 스크래핑하세요. Datablist의 AI Agent가 요구를 이해하고 페이지를 탐색해 구조화된 데이터를 추출합니다—코드는 필요 없습니다.","PROBLEM_TITLE":"기존 웹 스크래핑은 취약합니다","PROBLEM_BODY":"CSS 셀렉터에 의존하는 웹 스크래퍼는 매우 취약하며 지속적인 유지보수가 필요합니다. 웹사이트 레이아웃의 작은 변경만으로도 전체 workflow가 깨질 수 있습니다. Datablist의 AI Agent는 사람처럼 콘텐츠를 이해해 이를 극복하고, 웹사이트 업데이트에도 견고하게 대응합니다.","PROMPT_TITLE":"간단한 prompt로부터 구조화된 데이터까지","PROMPT_CONTENT_1":"복잡한 설정은 잊으세요. 필요한 것을 AI Agent에게 평이한 영어로 말하기만 하면 됩니다. 'About Us' 페이지에서 CEO 이름을 찾고 싶으신가요? 그대로 요청하세요. 카테고리 페이지에서 상품 가격을 추출해야 하나요? 원하는 바를 설명만 하세요.","PROMPT_CONTENT_2":"AI Agent가 지시를 해석하고 웹을 탐색하여, 깨끗하고 구조화된 데이터를 스프레드시트로 바로 전달합니다.","SCALE_TITLE":"확장성을 위해 설계, 누구나 부담 없는 가격","SCALE_CONTENT_1":"웹사이트 10개든 1만 개든, 당사의 AI Agent는 준비되어 있습니다. 페이지네이션과 프록시 관리 같은 기술적 세부 사항은 자동으로 처리하므로 프로세스가 아닌 데이터에만 집중하실 수 있습니다.","SCALE_CONTENT_2":"당사의 크레딧 기반 시스템은 비용 효율적이어서 예산을 크게 쓰지 않고도 대규모 스크래핑 작업을 실행할 수 있습니다. 필요할 때 필요한 데이터를 받아보세요.","ROBUST_TITLE":"어떤 웹사이트, 어떤 변경에도 적응합니다","ROBUST_CONTENT_1":"현대의 웹은 동적이며 끊임없이 변합니다. 당사의 AI Agent는 견고하도록 설계되었습니다. 데이터의 맥락과 의미를 이해하기 때문에 경직된 웹사이트 구조에 의존하지 않습니다.","ROBUST_CONTENT_2":"이는 더 신뢰할 수 있는 데이터 추출과 깨진 스크래퍼를 수정하는 시간의 절감을 의미합니다. 웹의 복잡성은 AI에 맡기세요.","USECASES_TITLE":"AI 스크래핑으로 데이터의 세계를 여세요","USECASES_LEADGEN_TITLE":"Lead Generation을 가속하세요","USECASES_LEADGEN_CONTENT_1":"기본적인 firmographics를 넘어, AI Agent로 회사 웹사이트에서 사례 연구, 사용 기술, 최근 소식을 스크래핑하세요.","USECASES_LEADGEN_CONTENT_2":"이 풍부한 맥락 데이터는 고도 개인화되고 효과적인 outreach 캠페인의 완벽한 연료가 됩니다.","USECASES_MARKET_TITLE":"시장 및 경쟁사 리서치를 자동화하세요","USECASES_MARKET_CONTENT_1":"수작업 리서치에 시간을 낭비하지 마세요. 경쟁사 웹사이트의 제품 업데이트, 가격 변경, 신규 채용 공고를 자동으로 모니터링하세요.","USECASES_MARKET_CONTENT_2":"Trustpilot, Trusted Shops와 같은 사이트에서 고객 리뷰를 수집해 감성 분석을 수행하고 시장 트렌드를 파악하세요.","USECASES_ECOMMERCE_TITLE":"이커머스 및 상품 모니터링","USECASES_ECOMMERCE_CONTENT_1":"어떤 이커머스 사이트에서도 손쉽게 상품 리스트를 스크래핑하세요. 이름, 가격, SKU, 설명, 고객 리뷰를 추출합니다.","USECASES_ECOMMERCE_CONTENT_2":"경쟁사의 재고를 주시하고, 가격 전략을 모니터링하며, 귀사 플랫폼을 위한 상품 데이터를 집계하세요.","BENEFITS_TITLE":"강력한 스크래핑을 쉽고 간단하게","BENEFITS_NOCODE_TITLE":"No-Code 인터페이스","BENEFITS_NOCODE_BODY":"프로그래밍 역량은 필요 없습니다. 지시를 문장으로 쓸 수 있다면 누구나 웹을 스크래핑할 수 있습니다. 직관적인 인터페이스로 데이터 추출을 누구나 쉽게 이용할 수 있습니다.","BENEFITS_FLEXIBLE_TITLE":"유연하고 구성 가능합니다","BENEFITS_FLEXIBLE_BODY":"스크래핑 작업을 필요에 맞게 정밀하게 맞춤화하세요. 단일 데이터 포인트부터 전체 데이터셋까지 추출할 수 있습니다. AI Agent가 귀하의 요구 사항에 맞춰 적응합니다.","BENEFITS_SCALABLE_TITLE":"확장 가능하고 자동화됨","BENEFITS_SCALABLE_BODY":"소규모 작업부터 대규모 데이터 수집 프로젝트까지, 당사의 AI Agent는 함께 확장됩니다. 데이터를 항상 최신으로 유지하도록 정기 스크래핑을 예약해 자동으로 업데이트하세요.","BENEFITS_PRECISE_TITLE":"정확하고 구조화된 출력","BENEFITS_PRECISE_BODY":"필요한 데이터를 깔끔하고 정돈된 형식으로 받아보세요. AI Agent가 구조화된 결과를 스프레드시트로 직접 전달해 분석이나 export에 바로 활용할 수 있습니다.","SEE_ALSO":"함께 보기","VIDEO_TITLE":"AI 스크래핑 데모 보기","VIDEO_TEXT":"간단한 prompt로 1분 이내에 커스텀 lead scoring 모델을 만드는 방법을 확인하세요. 수식도 번거로움도 없습니다."},"UseCaseDataCleaning":{"PAGE_TITLE":"데이터 클리닝, 자동화.","PAGE_DESC":"Datablist는 강력하고 사용하기 쉬운 툴킷으로 데이터의 중복을 제거하고 표준화하며 보강하여 혼란을 명확함으로 바꿉니다.","USE_CASE":"활용 사례","HERO_TITLE":"데이터 클리닝, 자동화.","VIDEO_TITLE":"No-Code 데이터 클리닝 툴 No.1","VIDEO_TEXT":"몇 번의 클릭만으로 데이터를 추출, 변환, 클리닝하세요. 제한이 없고, 더 이상 수식은 필요 없습니다.","HERO_DESC":"지저분한 스프레드시트와 어수선한 CRM과 씨름하지 마세요. Datablist는 강력하고 사용하기 쉬운 툴킷으로 데이터의 중복을 제거하고 표준화하며 보강해, 혼란을 명확함으로 바꿉니다.","MASTER_TITLE":"지저분한 데이터에서 실행 가능한 인사이트로","MASTER_BODY":"부정확한 데이터는 시간과 비용을 낭비하게 합니다. 여러 leads 소스, web scraping으로 수집한 콘텐츠, 팀별 입력이 뒤섞이면 지저분한 데이터가 캠페인 실패와 잘못된 의사결정으로 이어집니다. Datablist는 대규모로 리스트를 클리닝, 통합, 표준화하는 중앙 허브로서, 데이터를 항상 신뢰할 수 있고 즉시 실행 가능한 상태로 유지합니다.","DEDUPE_CRM_TITLE":"CRM과 리스트의 중복을 지능적으로 제거","DEDUPE_CRM_CONTENT_1":"CRM은 진실의 원천이지만, 중복이 생기면 신뢰할 수 없습니다. 'John Smith'와 'Jon Smith', 'Example Inc.'와 'Example LLC'는 혼란을 초래합니다. Datablist는 단순 매칭을 넘어섭니다.","DEDUPE_CRM_CONTENT_2":"고급 알고리즘(퍼지, 발음 기반, 스마트 매칭)으로 유사한 사람과 회사를 찾아 병합하고, 중요한 데이터를 잃지 않으면서 정보를 통합합니다. Pipedrive, HubSpot 또는 어떤 CRM export든 몇 분 만에 클리닝하세요.","MERGE_TITLE":"여러 파일의 데이터를 통합","MERGE_CONTENT_1":"세 개의 서로 다른 스프레드시트에 leads가 있고 다른 파일에 고객 데이터가 있습니다. 더 많은 중복 없이 어떻게 결합할 수 있을까요? 수동으로 파일을 병합하면 느리고 오류가 발생하기 쉽습니다.","MERGE_CONTENT_2":"Datablist가 쉽게 해결합니다. 모든 리스트를 임포트하고 email이나 웹사이트 같은 고유 식별자를 정의하면, 우리의 툴이 레코드를 병합해 줍니다. 여러 소스의 데이터를 하나의 깔끔한 마스터 리스트로 결합합니다.","NORMALIZE_TITLE":"클릭 한 번으로 데이터 표준화 및 정규화","NORMALIZE_CONTENT_1":"일관성 없는 데이터는 사용할 수 없습니다. 형식이 제각각인 전화번호, 대소문자가 섞인 직함, 지저분한 URL은 효과적인 필터링과 자동화를 방해합니다. 이를 행마다 수동으로 고치는 일은 매우 번거롭습니다.","NORMALIZE_CONTENT_2":"Datablist의 대량 편집 툴로 데이터 형식을 바로잡고, 텍스트의 대소문자를 정리하며, 불필요한 공백을 제거하고, 전화번호와 URL을 수천 건의 레코드 전반에 걸쳐 즉시 표준화하세요. 기준을 정하고 전체 데이터셋에 적용하십시오.","CLEANING_GRID_TITLE":"종합 데이터 클리닝 툴킷","CLEANING_GRID_DESC":"지저분한 원시 데이터를 가치 있고 정돈된 자산으로 바꾸는 데 필요한 모든 것.","GRID_DEDUPE_TITLE":"고급 중복 제거","GRID_DEDUPE_BODY":"단순한 스프레드시트로는 처리할 수 없는 스마트, 퍼지, 발음 기반 매칭 알고리즘으로 유사 레코드를 찾아 병합합니다.","GRID_MERGE_TITLE":"리스트 병합 및 통합","GRID_MERGE_BODY":"고유 키를 사용해 레코드를 업데이트하고 통합하면서 여러 CSV 또는 Excel 파일을 하나의 마스터 리스트로 결합합니다.","GRID_FIX_TITLE":"데이터 형식 수정","GRID_FIX_BODY":"정확한 정렬과 필터링을 위해 텍스트 필드를 날짜, 숫자, 체크박스와 같은 구조화된 데이터로 쉽게 변환합니다.","GRID_AI_TITLE":"AI 기반 클리닝","GRID_AI_BODY":"AI Editing 툴을 사용해 간단한 텍스트 prompt에서 맞춤 스크립트를 생성하세요. 코드 작성 없이 복잡한 클리닝 작업을 처리합니다.","GRID_ENRICH_TITLE":"데이터 보강 및 누락 채우기","GRID_ENRICH_BODY":"누락된 데이터로 보강해 레코드를 완성하세요. 회사 도메인을 찾고, email을 검증하며, 프로필 정보를 확보합니다.","GRID_CONSOLIDATE_TITLE":"값 통합","GRID_CONSOLIDATE_BODY":"중복에서 충돌하는 데이터를 병합합니다. 여러 전화번호나 메모를 정보 손실 없이 하나의 깔끔한 레코드로 결합합니다.","LEARN_MORE":"자세히 알아보기","SEE_ALSO":"함께 보기"},"UseCaseInventoryManagement":{"PAGE_TITLE":"이커머스 재고 관리를 자동화하세요","PAGE_DESC":"수동 업데이트에 시간을 낭비하지 마십시오. 강력한 no-code 플랫폼으로 공급업체 카탈로그를 자동으로 가져오고, 정제하고, 번역하고, 모든 판매 채널과 동기화하십시오.","USE_CASE":"활용 사례","HERO_TITLE":"이커머스 재고 관리를 자동화하세요","HERO_DESC":"수동 업데이트에 시간을 낭비하지 마십시오. 강력한 no-code 플랫폼으로 공급업체 카탈로그를 자동으로 가져오고, 정제하고, 번역하고, 모든 판매 채널과 동기화하십시오.","INTRO_TITLE":"지저분한 카탈로그에서 완벽한 상품 목록으로","INTRO_BODY":"여러 공급업체의 제품 데이터를 관리하는 일은 형식 불일치, 중복 항목, 끝없는 수동 수정으로 가득한 악몽입니다. Datablist는 이 혼란을 간결하고 자동화된 workflow로 전환하여 재고가 항상 정확하고 최신이며 어떤 마켓플레이스에도 완벽하게 맞는 형식이 되도록 보장합니다.","VIDEO_TITLE":"AI 편집을 직접 확인하세요","VIDEO_TEXT":"간단한 prompt로 카탈로그 단위를 업데이트하는 방법을 확인하세요. 수식도 번거로움도 없습니다.","FETCH_TITLE":"공급업체 카탈로그를 자동으로 가져오기","FETCH_CONTENT_1":"수동 다운로드와 지저분한 email 첨부 파일은 잊으십시오. URL, FTP 서버, API 등 어떤 소스에서든 카탈로그 파일을 가져오도록 자동 가져오기를 설정하십시오. 일간, 주간, 월간으로 스케줄링하여 데이터를 항상 최신 상태로 유지하세요.","FETCH_CONTENT_2":"스마트 스크레이퍼가 공급업체 웹사이트에서 제품 데이터를 직접 추출하여, 수동 개입 없이 최신 정보를 지속적으로 받아볼 수 있습니다.","TRANSFORM_TITLE":"AI로 데이터 변환 및 표준화","TRANSFORM_CONTENT_1":"공급업체 데이터는 대부분 스토어에 바로 사용할 준비가 되어 있지 않습니다. no-code 클리닝 도구 모음을 사용해 카테고리를 표준화하고, 브랜드명의 법적 접미사를 제거하며, 가격 형식을 통일하고, 중복을 병합하십시오.","TRANSFORM_CONTENT_2":"AI 기반 변환으로 한 단계 더 나아가십시오. 매력적인 제품 설명을 자동 생성하고, 국제 시장을 위한 콘텐츠를 번역하며, 모든 리스팅이 전환에 최적화되도록 보장합니다.","SYNC_TITLE":"모든 이커머스 플랫폼·마켓플레이스와 동기화","SYNC_CONTENT_1":"데이터가 정제되고 표준화되면 판매하는 모든 곳으로 푸시하십시오. Datablist는 Shopify, WooCommerce, Amazon 등을 포함한 어떤 대상에도 카탈로그를 원활하게 준비합니다.","SYNC_CONTENT_2":"시스템은 모든 동기화에 대해 명확한 상태 업데이트를 제공하고, 실패 시 자동 재시도합니다. 신뢰할 수 있는 단일 Source of Truth에서 전체 멀티채널 운영을 관리하십시오.","BENEFITS_TITLE":"자동화된 재고 workflow의 힘","BENEFITS_SCALE_TITLE":"대규모 카탈로그 처리","BENEFITS_SCALE_BODY":"수십만에서 수백만 개에 이르는 상품 목록도 무리 없이 관리하십시오. 당사 플랫폼은 성능과 확장성에 맞춰 설계되었습니다.","BENEFITS_FLEXIBLE_TITLE":"유연하고 설정이 간편","BENEFITS_FLEXIBLE_BODY":"직관적인 no-code 인터페이스로 복잡한 데이터 변환 workflow를 몇 주가 아닌 몇 분 만에 구성할 수 있습니다. 개발자는 필요 없습니다.","BENEFITS_RELIABLE_TITLE":"신뢰성과 자동화","BENEFITS_RELIABLE_BODY":"workflow를 한 번 설정하고 그대로 실행되도록 두십시오. 명확한 상태 추적과 재시도 가능한 동기화를 통해 데이터가 늘 필요한 곳에 있음을 신뢰할 수 있습니다.","BENEFITS_COST_TITLE":"비용 대비 강력한 성능","BENEFITS_COST_BODY":"크레딧 기반 시스템을 활용해 사용한 만큼만 지불하십시오. 기존 솔루션 대비 일부 비용으로 엔터프라이즈급 자동화를 확보하십시오.","TRANSLATE_TITLE":"글로벌 시장을 위한 제품 카탈로그 번역","TRANSLATE_CONTENT_1":"Datablist의 AI로 제품 카탈로그를 자동 번역하여 이커머스의 해외 시장 도달 범위를 확장하십시오. 단순 번역을 넘어 현지 고객의 실제 검색 방식에 맞게 제품명을 로컬라이징하십시오.","TRANSLATE_CONTENT_2":"당사의 AI는 설명과 사양의 핵심 HTML 및 JSON 구조를 보존하여 Shopify나 WooCommerce 등으로 재업로드할 때 기술적 오류를 방지합니다. 이 강력한 no-code 솔루션은 기존 도구 대비 적은 비용으로 글로벌 확장을 지원합니다.","TRANSLATE_CTA":"제품 카탈로그를 번역하는 방법","FILTER_TITLE":"규모와 관계없이 어떤 카탈로그도 심층 탐색","FILTER_CONTENT_1":"재고 규모 때문에 계속 다운되는 스프레드시트와 씨름하지 마십시오. Datablist는 최대 150만 개 항목의 대규모 제품 카탈로그를 처리하도록 설계되어 Airtable이나 Google Sheets 같은 도구의 한계를 훨씬 뛰어넘습니다.","FILTER_CONTENT_2":"강력한 필터링 도구로 필요한 항목을 신속하고 정확하게 찾으십시오. AND/OR 로직과 필터 그룹으로 여러 조건을 결합해 단순 검색을 넘어 고급 쿼리를 수행하십시오. 최상의 정밀도를 위해 SKU, 제목, 설명의 특정 패턴을 기준으로 제품을 찾는 정규식(Regular Expressions)을 활용하십시오.","FILTER_CONTENT_3":"같은 작업을 반복하지 마십시오. 복잡한 필터 조합은 언제든지 나중에 빠르게 접근할 수 있도록 사용자 지정 \"Segment\"로 저장할 수 있습니다. 이렇게 저장한 필터는 \"신상품\"이나 \"프로모션 상품\" 같은 동적 리스트를 만드는 데 이상적이며, 팀과 자동으로 공유되어 모두가 동일한 뷰에서 작업하도록 보장합니다.","SEE_ALSO":"관련 항목"},"UseCaseLeadBuilding":{"PAGE_TITLE":"그로스 팀을 위한 Lead Building","PAGE_DESC":"대용량 lead list를 깊이 파고드는 최고의 툴. 정리하고 보강하여 최적의 잠재 고객을 찾으세요.","HERO_TITLE":"그로스 팀을 위한 Lead List Building","USE_CASE":"활용 사례","HERO_DESC":"대용량 lead list를 깊이 파고드는 최고의 툴. 정리하고 보강하여 최적의 잠재 고객을 찾으세요.","MASTER_TITLE":"대량의 leads 관리","MASTER_BODY":"Datablist는 수백만 개 항목을 관리하도록 설계되었습니다. Lead 데이터 구조를 정의하고, 개방적이고 개발자 친화적인 플랫폼에서 데이터를 자유롭게 다루세요. 스프레드시트 같은 인터페이스로 leads를 조직화하거나, API로 복잡한 데이터 플랫폼을 구축하세요. 대용량 lead list에서 연락할 가치가 있는 양질의 leads를 발굴할 수 있습니다.","CRM_TITLE":"Sales CRM 이전 단계에서 lead lists 구축","CRM_CONTENT_1":"CRM 도구는 참여 중인 잠재 고객을 추적하는 데는 완벽하지만, 수십만 개의 leads에는 적합하지 않습니다. 그로스 팀에는 대용량 leads를 통합·관리하기 위한 상위 데이터 저장소가 필요합니다.","CRM_CONTENT_2":"콜드 leads를 CRM에 보관하는 것은 CRM을 오염시키고 비싼 청구서를 받는 지름길입니다.","DATABASE_TITLE":"커스텀 데이터베이스에 leads를 저장하는 일을 멈추세요","DATABASE_CONTENT_1":"지금 leads를 커스텀 데이터베이스, Excel, Airtable 또는 데이터 웨어하우스에 보관하고 계신가요? 그중 하나를 선택하는 것은 곧 타협을 의미합니다. 확장성 대신 유연성, 혹은 단순성 대신 복잡성을 택해야 합니다.","DATABASE_CONTENT_2":"Datablist는 커스텀 데이터베이스의 파워와 Airtable의 유연성을 함께 제공합니다. 어떤 타협도 없이 시간과 비용을 절감하세요.","NOCODE_TITLE":"쉽지만 개발자 친화적인 툴","NOCODE_CONTENT_1":"스프레드시트 같은 인터페이스로 leads를 관리하세요. 강력한 필터링과 검색으로 수십만 leads를 몇 초 만에 탐색할 수 있습니다.","NOCODE_CONTENT_2":"Datablist에서 CSV 파일은 최우선으로 취급됩니다. 대용량 CSV를 가져오고 고유 식별자와 결합해 lead lists를 만드세요. 귀하의 데이터는 전적으로 귀하의 것입니다. 클릭 한 번으로 leads를 CSV로 내보내 다른 툴과 함께 사용할 수 있습니다.","NOCODE_CONTENT_3":"더 나아가고 싶으신가요? 오픈 API에 연결된 서버리스 함수로 데이터 흐름을 자동화하세요.","CENTRALIZE_TITLE":"모든 lead 소스를 하나의 데이터 저장소로 중앙집중화","CENTRALIZE_SCRAPING_TITLE":"스크래핑 데이터의 최종 목적지","CENTRALIZE_SCRAPING_CONTENT_1":"외부 소스에서 데이터를 추출해 데이터 저장소에 보관하세요.","CENTRALIZE_SCRAPING_CONTENT_2":"소셜 네트워크(LinkedIn, Facebook, Xing), 비즈니스 디렉터리(Crunchbase, AngelList), 온라인 커뮤니티 등에서 leads를 스크래핑하세요.","CENTRALIZE_NEWSLETTER_TITLE":"뉴스레터 구독자","CENTRALIZE_NEWSLETTER_CONTENT_1":"메일링 리스트 구독자를 추적하고 보강하여 가치 높은 잠재 고객을 발굴하세요.","CENTRALIZE_NEWSLETTER_CONTENT_2":"메일링 리스트 웹훅으로 사용 데이터를 수집하고 참여도가 높은 leads를 찾아보세요.","CENTRALIZE_SIGNUP_TITLE":"신규 사용자 정보 보강","CENTRALIZE_SIGNUP_CONTENT_1":"일회용 또는 업무용 email 주소를 사용하는 사용자를 감지하세요. 신규 사용자 정보를 자동으로 보강하고 LinkedIn 프로필을 찾아, 잠재력이 높은 사용자와 연결하세요.","CENTRALIZE_SIGNUP_CONTENT_2":"제품 사용 데이터를 연결해 Customer Data Platform(CDP)을 구축하세요.","CENTRALIZE_MAGNET_TITLE":"Lead Magnet 다운로드 저장","CENTRALIZE_MAGNET_CONTENT_1":"화이트페이퍼 다운로드, 웨비나, 오프라인 이벤트 등에서 발생한 모든 신규 leads를 단일 리스트에 저장하세요.","CENTRALIZE_MAGNET_CONTENT_2":"수동으로 또는 통합 Enrichment API로 보강해 기회를 포착하세요.","ENRICH_TITLE":"leads를 정리하고 보강하세요","ENRICH_COMPANIES_TITLE":"회사 및 프로필 보강","ENRICH_COMPANIES_BODY":"통합 Enrichment 서비스로 완전한 프로필 정보를 얻으세요. email 주소로 LinkedIn 계정을 찾거나, leads의 이름으로 email 주소를 찾을 수 있습니다. 어떤 서비스에서든 대규모로 보강하거나, 귀하의 자체 서비스를 연결하세요.","CLEAN_TITLE":"데이터를 정리하세요","CLEAN_BODY":"Datablist의 읽기/쓰기 데이터 저장소로 데이터를 항상 신선하게 유지하세요. Data Cleansing 기능으로 leads를 대량 정리합니다. email 주소를 검증해 일회용 email 제공업체를 찾아내고 캠페인에서 제외하세요.","DEDUPLICATE_TITLE":"leads 중복 제거","DEDUPLICATE_BODY":"Datablist Duplicates Finder로 중복 leads를 순식간에 제거하세요. 하나 이상의 속성을 선택해 자동으로 중복을 제거합니다. Datablist Merge Assistant로 충돌 데이터를 병합하세요.","MERGE_TITLE":"고유한 lead 프로필 생성","MERGE_BODY":"lead의 email 주소 또는 회사 웹사이트를 기준으로 고유성을 정의해 유일한 lead 프로필을 만드세요. 고유 속성을 활용해 lead 데이터를 업데이트하거나 외부 리스트를 통합하세요.","SEE_ALSO":"함께 보기","DATA_SOURCES":"데이터 & Lead 소스","DATA_SOURCES_DESCRIPTION":"강력한 내장형 lead 소스로 파이프라인을 강화하세요!","AI_RESEARCH_AGENT":"AI Research Agent","AI_RESEARCH_AGENT_DESCRIPTION":"간단한 하나의 prompt로 항목에 대한 리서치를 스케일하거나 자동화된 Google 검색을 설정하세요.","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESCRIPTION":"쉽게 사용할 수 있는 enrichments로 강력한 workflow를 만드세요"},"IndustryRecruiting":{"PAGE_TITLE":"더 스마트한 리크루팅은 여기서 시작됩니다","PAGE_DESC":"리크루팅 에이전시를 위한 필수 노코드 플랫폼입니다. 채용 공고를 스크래핑하고, 회사 데이터를 보강(Enrichment)하며, 채용 담당자의 직접 연락처 정보를 찾으세요.","HERO_TITLE":"더 스마트한 리크루팅은 여기서 시작됩니다","INDUSTRY_LABEL":"산업 분야","HERO_DESC":"리크루팅 에이전시를 위한 필수 노코드 플랫폼입니다. 채용 공고를 스크래핑하고, 회사 데이터를 보강(Enrichment)하며, 채용 담당자의 직접 연락처 정보를 찾으세요.","WHY_DATABLIST_TITLE":"검색은 멈추고, 채용 성사를 시작하세요.","WHY_DATABLIST_BODY":"수동 소싱은 느리고 반복적이며 결과가 들쑥날쑥합니다. Datablist는 신규 클라이언트와 후보자 소싱의 가장 번거로운 부분을 자동화하여, 관계 구축과 채용 성사에 집중할 수 있도록 해드립니다.","FIND_JOBS_TITLE":"모든 채용 기회를 발굴하세요","FIND_JOBS_CONTENT_1":"leads를 절대 놓치지 마세요. AI Scraper로 LinkedIn, Indeed 같은 채용 사이트나 타깃 회사의 채용 페이지 목록에서 채용 공고를 추출하세요.","FIND_JOBS_CONTENT_2":"키워드와 전문 분야에 맞는 오픈 포지션의 실시간 데이터베이스를 손쉽게 구축하여, 자격을 갖춘 클라이언트 leads를 지속적으로 확보하세요.","FIND_CONTACTS_TITLE":"정확한 의사결정권자를 찾아내세요","FIND_CONTACTS_CONTENT_1":"채용 공고는 시작에 불과합니다. Datablist는 회사 데이터를 보강해 직함 뒤의 사람을 드러냅니다. 타깃 회사 내 부서장, 팀 리드, 채용 매니저를 식별하세요.","FIND_CONTACTS_CONTENT_2":"목록을 직함, 부서, 직급별로 세분화하여 outreach가 항상 채용 권한이 있는 사람에게 도달하도록 하세요.","GET_DETAILS_TITLE":"즉시, 직접 연결하세요","GET_DETAILS_CONTENT_1":"연락처 정보를 찾느라 시간을 낭비하지 마세요. 강력한 Waterfall Enrichment가 타깃 연락처의 검증된 업무용 email 주소와 전화번호를 찾아드립니다.","GET_DETAILS_CONTENT_2":"더 높은 성공률과 비용 효율적인 크레딧 기반 모델로, 그 어느 때보다 빠르고 합리적인 비용으로 실행 가능한 연락처 목록을 구축할 수 있습니다.","BENEFITS_TITLE":"에이전시를 위한 압도적 경쟁 우위","EASY_USE_TITLE":"몇 분 만에 시작하세요","EASY_USE_BODY":"스프레드시트 같은 직관적 인터페이스로 바로 시작하세요. 강력한 소싱 workflow를 구축하는 데 기술 역량은 필요하지 않습니다.","FLEXIBLE_TITLE":"귀하의 Workflow, 귀하의 방식대로","FLEXIBLE_BODY":"타깃 스크래핑부터 Enrichment 시퀀스까지 모든 단계를 커스터마이즈하세요. Datablist는 귀하의 고유한 소싱 전략에 맞춰 작동합니다. 그 반대가 아닙니다.","COST_EFFECTIVE_TITLE":"사용량 기반 결제의 강력함","COST_EFFECTIVE_BODY":"크레딧 기반 시스템으로 사용한 만큼만 지불합니다. 1인 리크루터부터 대형 팀까지 모든 규모의 에이전시에 적합합니다.","ALL_IN_ONE_TITLE":"모든 기능을 한 곳에서","ALL_IN_ONE_BODY":"스크래핑과 데이터 클렌징부터 Enrichment와 내보내기까지. 여러 툴을 오가지 않고 클라이언트와 후보자의 전체 데이터 파이프라인을 관리하세요.","SEE_ALSO":"관련 항목","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"간단한 prompt만으로 어떤 웹사이트에서도 구조화된 데이터를 추출하세요. job board, 회사 페이지 등 다양한 용도에 적합합니다.","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESCRIPTION":"회사 및 연락처 데이터를 위한 손쉬운 Enrichment로 강력한 workflow를 구성하세요.","FAQ_Q1":"Datablist는 채용 공고를 어떻게 찾나요?","FAQ_A1":"Job Postings Scraper가 Indeed, Glassdoor를 포함한 19개 이상 주요 job board를 스캔합니다. 또한 AI Agent로 특정 회사의 채용 페이지나 틈새 job board를 자동으로 스크래핑하여, 지속적인 클라이언트 기회를 제공합니다.","FAQ_Q2":"채용 담당자의 연락처 정보는 어떻게 찾나요?","FAQ_A2":"회사 목록이 준비되면, 당사의 Waterfall People Search Enrichment가 해당 조직 내 적합한 연락처를 찾아냅니다. 직함, 직급, 부서로 검색하여 의사결정권자를 정확히 특정할 수 있습니다.","FAQ_Q3":"연락처 정보는 정확하고 검증되었나요?","FAQ_A3":"예. 당사의 Waterfall Email Finder와 Phone Finder는 여러 데이터 제공처를 조회하여 검증된 업무용 email 주소와 직통 전화번호를 찾습니다. 이 멀티 소스 방식은 단일 제공업체 툴보다 더 높은 성공률을 제공합니다.","FAQ_Q4":"귀하의 스크래퍼를 사용하면 제 LinkedIn 계정에 위험이 있나요?","FAQ_A4":"아니요. 브라우저 확장 프로그램과 달리, 당사 스크래퍼는 클라우드에서 동작하며 개인 LinkedIn 자격 증명을 요구하지 않습니다. 따라서 계정은 제한이나 차단으로부터 100% 안전합니다.","FAQ_Q5":"비용은 얼마나 드나요?","FAQ_A5":"Datablist는 유연한 사용량 기반 크레딧 시스템을 사용합니다. 확보한 데이터에 대해서만 비용을 지불합니다. 예를 들어, $20 크레딧 충전만으로도 수천 건의 채용 공고를 스크래핑할 수 있습니다. 이 모델은 선투자 없이 소싱을 확장해야 하는 모든 규모의 에이전시에 적합합니다.","FAQ_Q6":"특정 산업이나 지역의 채용만 타깃팅할 수 있나요?","FAQ_A6":"예. 당사의 job scraper에는 키워드, 산업, 회사 규모, 지역, 직급 수준별로 채용 공고를 타깃팅할 수 있는 고급 필터가 포함되어 있습니다. 리크루팅 에이전시는 제외하고 직고용 기업만 집중 대상으로 설정할 수도 있습니다.","FAQ_Q7":"후보자 목록이 엉망입니다. Datablist로 클린업이 가능할까요?","FAQ_A7":"물론입니다. Datablist에는 강력한 데이터 클렌징과 중복 제거 도구가 포함되어 있습니다. 서로 다른 소스에서 온 중복 연락처를 손쉽게 병합하고, 직함을 표준화하며, 복잡한 수식 없이도 데이터를 원하는 형식으로 정리할 수 있습니다.","FAQ_Q8":"소싱 프로세스를 자동화할 수 있나요?","FAQ_A8":"예. job scraper를 매일, 매주, 매월 실행하도록 스케줄링할 수 있습니다. Datablist가 귀하의 기준에 맞는 새로운 채용 공고를 자동으로 찾아 지속적으로 신선한 leads를 제공합니다."},"IndustryVentureCapital":{"PAGE_TITLE":"현대 VC를 위한 운영 시스템","PAGE_DESC":"AI 기반 데이터 플랫폼으로 수천 개의 스타트업을 소싱, 스크리닝, 트래킹하세요. 지저분한 스프레드시트와 경직된 CRM은 이제 그만. Datablist로 딜 플로우 엔진을 구축하세요.","INDUSTRY_LABEL":"산업 분야","HERO_TITLE":"현대 VC를 위한 운영 시스템","HERO_DESC":"AI 기반 데이터 플랫폼으로 수천 개의 스타트업을 소싱, 스크리닝, 트래킹하세요. 지저분한 스프레드시트와 경직된 CRM은 이제 그만. Datablist로 딜 플로우 엔진을 구축하세요.","WHY_DATABLIST_TITLE":"귀사의 CRM은 벤처캐피탈을 위해 만들어지지 않았습니다","WHY_DATABLIST_BODY":"CRM은 딜 플로우가 아니라 세일즈 파이프라인을 위한 도구입니다. 경직되어 있고 비용이 많이 들며, 레이더에 올려둔 수천 개의 초기 단계 회사를 제대로 트래킹하지 못합니다. Datablist는 VC 고유의 데이터 과제를 관리하도록 설계된 유연하고 확장 가능한 데이터 허브입니다.","SOURCE_DEALS_TITLE":"모두가 알기 전에 딜을 소싱하세요","SOURCE_DEALS_CONTENT_1":"네트워크와 인바운드 요청을 넘어가세요. AI Scraper를 사용해 ProductHunt, IndieHackers 등 니치 디렉터리에서 유망한 스타트업을 소싱하세요.","SOURCE_DEALS_CONTENT_2":"주류가 되기 전에 고잠재 기업을 먼저 식별하고, 떠오르는 트렌드를 트래킹해 우위를 확보하세요.","TRACK_COMPANIES_TITLE":"투자 라운드만이 아니라 성장 시그널을 트래킹하세요","TRACK_COMPANIES_CONTENT_1":"투자는 성공의 후행 지표입니다. 실제로 중요한 실시간 성장 시그널을 트래킹하세요. 당사의 채용 보드 스크레이퍼는 어떤 스타트업이 핵심 포지션을 채용 중인지 식별합니다—제품-시장 적합성(PMF)과 스케일링의 분명한 신호입니다.","TRACK_COMPANIES_CONTENT_2":"채용 트렌드를 모니터링해 기업의 성장 궤적을 평가하고 데이터에 기반한 투자 결정을 내리세요.","SCORE_STARTUPS_TITLE":"AI로 커스텀 스코어링 모델을 구축하세요","SCORE_STARTUPS_CONTENT_1":"직감에만 의존하지 마세요. AI Editing 도구로 강력한 커스텀 스코어링 알고리즘을 구축하세요. 팀 경험, 기술 스택, 시장 시그널, 귀하만의 기준에 따라 스타트업을 랭킹하세요.","SCORE_STARTUPS_CONTENT_2":"파이프라인에서 상위 1%의 기회를 체계적으로 식별하고 팀의 에너지를 그곳에 집중하세요.","DILIGENCE_TITLE":"실사와 트래킹에 필요한 모든 도구","FEATURE_DATA_TITLE":"데이터 통합","FEATURE_DATA_BODY":"여러 소스의 데이터를 정제하고 중복을 제거해 병합하여 하나의 마스터 리스트로 만드세요. 스타트업 데이터베이스를 깔끔하고 신뢰할 수 있게 유지하세요.","FEATURE_ENRICH_TITLE":"회사 Enrichment","FEATURE_ENRICH_BODY":"퍼모그래픽스, 기술 스택, 웹사이트 데이터 등을 활용해 회사 프로필을 자동 Enrichment하여 360도 관점을 확보하세요.","FEATURE_CONTACTS_TITLE":"Founder Outreach","FEATURE_CONTACTS_BODY":"Waterfall Enrichment로 창업자와 주요 임원의 검증된 email과 전화번호를 찾으세요. 첫 접촉을 의미 있게 만드세요.","FEATURE_API_TITLE":"API & Integrations","FEATURE_API_BODY":"Datablist를 내부 도구와 연결하고, 유연하고 개발자 친화적인 API로 전체 데이터 workflow를 자동화하세요.","SEE_ALSO":"함께 보기","VIDEO_TITLE":"AI Agent 시연 보기","VIDEO_TEXT":"AI Agent가 스타트업 웹사이트 목록을 방문해 구조화된 연락처 정보를 추출하는 과정을 확인하세요. 전통적인 스크레이퍼로는 불가능했던 작업입니다.","FAQ_Q1":"Datablist는 기존 CRM과 어떤 점이 다른가요?","FAQ_A1":"CRM은 선형적인 세일즈 프로세스를 위해 설계되어 수천 건의 잠재 딜을 트래킹하면 금세 어지러워집니다. Datablist는 VC 딜 플로우의 규모와 복잡성을 위해 만들어진 유연한 데이터 허브로, 세일즈 파이프라인의 경직성 없이 방대한 스타트업 데이터를 관리할 수 있습니다.","FAQ_Q2":"Datablist로 새로운 스타트업을 소싱할 수 있나요?","FAQ_A2":"가능합니다. AI Agent로 ProductHunt나 IndieHackers와 같은 스타트업 디렉터리를 web scraping하여 모두의 레이더에 오르기 전에 유망 기업을 찾을 수 있습니다. 이를 통해 고잠재 딜을 일찍 발견할 수 있습니다.","FAQ_Q3":"어떤 성장 시그널을 트래킹할 수 있나요?","FAQ_A3":"투자 발표에만 의존하는 대신 실시간 성장 지표를 트래킹할 수 있습니다. 당사의 채용 보드 스크레이퍼는 핵심 포지션을 적극 채용 중인 스타트업을 찾아내며, 이는 성장과 제품-시장 적합성의 강력한 시그널입니다.","FAQ_Q4":"AI 스코어링 모델은 어떻게 작동하나요?","FAQ_A4":"AI 도구로 커스텀 스코어링 모델을 구축할 수 있습니다. 팀 경험, 기술 스택, 시장 트렌드 등 귀하의 투자 테제에 중요한 기준을 정의하면, AI가 파이프라인의 모든 스타트업을 랭킹하는 스크립트를 생성해 상위 기회에 집중하도록 돕습니다.","FAQ_Q5":"데이터가 지저분하고 여러 스프레드시트에 흩어져 있습니다. 어떻게 도와줄 수 있나요?","FAQ_A5":"Datablist는 데이터 통합에 강합니다. 여러 소스에서 데이터를 가져온 뒤, 정제·중복 제거·병합하여 신뢰할 수 있는 단일 스타트업 마스터 리스트로 만들 수 있습니다.","FAQ_Q6":"Datablist는 수천 개의 회사를 어떻게 처리하나요? 느리지 않을까요?","FAQ_A6":"Datablist는 대규모 데이터셋 관리를 위해 설계되었습니다. 리스트당 최대 150만 레코드를 처리하여 스프레드시트나 Airtable 같은 도구의 한계를 크게 뛰어넘습니다. 성능 저하 없이 수천 개 회사를 빠르게 필터링, 정렬, 관리할 수 있습니다.","FAQ_Q7":"창업자의 연락처 정보를 찾는 데도 도와주나요?","FAQ_A7":"네. 유망한 스타트업을 확인했다면, Waterfall Enrichment 도구로 창업자와 핵심 팀원의 검증된 email 주소와 전화번호를 찾아 초기 outreach의 효과를 높일 수 있습니다.","FAQ_Q8":"Datablist를 사용하려면 개발자가 필요한가요?","FAQ_A8":"아닙니다. Datablist는 사용하기 쉬운 스프레드시트 인터페이스를 갖춘 노코드 플랫폼입니다. 소싱부터 스코어링까지 복잡한 데이터 workflow를 코드 작성 없이 구축할 수 있습니다."},"IndustryRetailAndECommerce":{"PAGE_TITLE":"리테일 및 이커머스 운영을 효율화하세요","PAGE_DESC":"제품 카탈로그, 공급사 피드, 고객 데이터를 손쉽게 관리하세요. Datablist는 리테일과 이커머스 비즈니스를 위한 유연한 no-code 플랫폼입니다.","HERO_TITLE":"리테일 및 이커머스 운영을 효율화하세요","INDUSTRY":"산업","HERO_DESC":"제품 카탈로그, 공급사 피드, 고객 데이터를 손쉽게 관리하세요. Datablist는 리테일과 이커머스 비즈니스를 위한 유연한 no-code 플랫폼입니다.","MASTER_TITLE":"이커머스 데이터의 중앙 허브","MASTER_BODY":"여러 스프레드시트와 복잡한 데이터베이스를 넘나드는 일을 멈추세요. Datablist는 모든 이커머스 데이터를 관리할 수 있는 하나의, 사용하기 쉬운 플랫폼을 제공합니다. 유연한 no-code 인터페이스와 크레딧 기반 가격 정책으로 모든 규모의 비즈니스에 비용 효율적인 솔루션을 제공합니다.","PRODUCT_CATALOG_TITLE":"제품 카탈로그 통합 및 정리","PRODUCT_CATALOG_CONTENT_1":"어떤 소스에서든 제품 데이터를 가져와 하나의 깔끔한 카탈로그로 통합하세요. 강력한 데이터 클리닝 도구로 단위와 가격을 표준화하고, 설명의 HTML까지 정리할 수 있습니다.","PRODUCT_CATALOG_CONTENT_2":"Datablist로 수천 개의 제품을 손쉽게 관리하고, 데이터의 정확성과 최신성을 항상 유지할 수 있습니다.","SUPPLIER_FEEDS_TITLE":"공급사 피드 자동화","SUPPLIER_FEEDS_CONTENT_1":"공급사 가격 및 재고 피드를 자동으로 가져와 재고를 동기화하세요. Datablist는 외부 API에 연결하여 공급사 시스템과 쉽게 연동할 수 있습니다.","SUPPLIER_FEEDS_CONTENT_2":"이 중요한 운영 프로세스를 자동화하여 시간을 절약하고 오류를 줄이세요.","FEATURES_TITLE":"성공에 필요한 모든 것","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"제품 카탈로그 통합","CONSOLIDATE_PRODUCT_CATALOG_BODY":"여러 공급사와 다양한 소스의 제품 데이터를 하나의 마스터 카탈로그로 병합하세요.","CLEAN_DATA_TITLE":"데이터 정리","CLEAN_DATA_BODY":"단위, 가격, HTML 등을 포함한 제품 정보를 표준화하고 정리하여 일관되고 전문적인 모습을 유지하세요.","TRANSLATE_PRODUCT_TITLE":"제품 정보 번역","TRANSLATE_PRODUCT_BODY":"글로벌 고객을 위해 제품명과 설명을 손쉽게 번역하세요.","GENERATE_PRODUCT_TEXT_TITLE":"AI로 제품 텍스트 생성","GENERATE_PRODUCT_TEXT_BODY":"AI를 활용해 매력적인 제품 설명 등 텍스트를 생성하여 시간과 노력을 절감하세요.","SYNC_TO_EXTERNAL_APIS_TITLE":"외부 API로 동기화","SYNC_TO_EXTERNAL_APIS_BODY":"데이터를 외부 API로 동기화하여 다른 툴과 시스템과 연동하세요.","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"공급사 피드 가져오기","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"공급사로부터 최신 가격 및 재고 피드를 가져와 제품 정보를 자동으로 업데이트하세요.","AGGREGATE_ORDER_FEEDS_TITLE":"주문 피드 집계","AGGREGATE_ORDER_FEEDS_BODY":"모든 채널의 주문 피드를 집계하여 판매 현황을 한눈에 파악하세요.","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"고객 및 오디언스 리스트 관리","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"더 효과적인 마케팅 캠페인을 위해 고객 및 오디언스 리스트를 깨끗하고 체계적으로 유지하세요.","FAQ_Q1":"제품 데이터가 여러 공급사에서 다양한 포맷으로 와서 엉망입니다. Datablist가 어떻게 도와줄 수 있나요?","FAQ_A1":"Datablist는 이러한 문제를 해결하도록 설계되었습니다. 여러 개의 CSV 또는 Excel 파일에서 제품 데이터를 하나의 마스터 카탈로그로 가져올 수 있습니다. 이후 Duplicates Finder가 중복 제품 목록을 병합하도록 도와주며, 재고 수량과 같은 숫자 값도 자동으로 합산할 수 있습니다.","FAQ_Q2":"Datablist로 HTML이나 JSON 포맷을 깨뜨리지 않고 제품 설명을 번역할 수 있나요?","FAQ_A2":"네. ChatGPT와 같은 모델을 사용하는 AI 기반 번역기는 복잡한 콘텐츠도 처리합니다. 사용자 정의 지침을 제공하여 HTML 태그와 JSON 구조를 모두 보존한 채 텍스트만 번역하도록 설정할 수 있어, 이커머스 카탈로그에 최적입니다.","FAQ_Q3":"대규모 제품 카탈로그 때문에 스프레드시트가 자꾸 멈춥니다. Datablist는 몇 개의 제품까지 처리할 수 있나요?","FAQ_A3":"스프레드시트는 대용량 데이터셋에 취약하지만, Datablist는 확장성을 고려해 구축되었습니다. 컬렉션당 최대 150만 개의 아이템으로 구성된 제품 카탈로그도 손쉽게 관리할 수 있으며, Airtable이나 Google Sheets 같은 툴의 한계를 훨씬 뛰어넘습니다.","FAQ_Q4":"Shopify나 WooCommerce 같은 플랫폼에서 카탈로그를 어떻게 가져오나요?","FAQ_A4":"Shopify, WooCommerce와 같은 이커머스 플랫폼에서는 제품 카탈로그를 CSV 파일로 내보낼 수 있습니다. 해당 CSV 파일을 Datablist로 바로 가져와 데이터 클리닝, 보강(enrichment), 번역 작업을 시작하세요.","FAQ_Q5":"공급사의 가격과 재고 업데이트를 자동으로 가져올 수 있나요?","FAQ_A5":"네. 공급사가 API로 데이터를 제공한다면, 당사의 '원격 CSV 또는 JSON 파일에서 가져오기' 데이터 소스를 사용해 제품 정보를 자동으로 가져오고 업데이트할 수 있습니다. 수작업 없이도 재고와 가격을 항상 동기화할 수 있습니다.","FAQ_Q6":"여러 고객사의 카탈로그를 관리하는 이커머스 에이전시에 Datablist가 적합한 도구인가요?","FAQ_A6":"물론입니다. 고객사별 제품 카탈로그를 개별 컬렉션으로 만들고 폴더로 구성해 손쉽게 관리할 수 있습니다. 모든 데이터 클리닝 및 관리 작업을 위한 중앙의 효율적인 허브가 됩니다.","FAQ_Q7":"가격이나 설명의 HTML 등 일관되지 않은 제품 데이터를 어떻게 정리할 수 있나요?","FAQ_A7":"Datablist는 제품 카탈로그에 최적화된 다양한 데이터 클리닝 도구를 제공합니다. HTML 태그가 포함된 텍스트를 깔끔한 일반 텍스트로 변환하고, 구분자가 다른 숫자를 정규화하며, 불필요한 공백을 제거하고, 대소문자를 변경해 데이터의 일관성을 보장할 수 있습니다.","FAQ_Q8":"AI가 고유한 제품 설명 작성에 도움을 줄 수 있나요?","FAQ_A8":"네. 'Ask ChatGPT' enrichment를 사용해 제품 특성에서 매력적인 제품 설명을 생성할 수 있습니다. 시간을 절약하고 대규모로 차별화된 콘텐츠를 만들 수 있습니다."},"IndustrySaaSAI":{"PAGE_TITLE":"SaaS & AI 스타트업을 위한 GTM 코파일럿","PAGE_DESC":"지저분한 스프레드시트와 비싼 툴을 더 이상 붙잡지 마세요. Datablist는 leads를 소싱하고 정제하고 enrichment까지 처리하는 올인원 플랫폼이므로, 귀하는 딜 성사에 집중할 수 있습니다.","HERO_TITLE":"SaaS & AI 스타트업을 위한 GTM 코파일럿","INDUSTRY_LABEL":"산업군","HERO_DESC":"지저분한 스프레드시트와 비싼 툴을 더 이상 붙잡지 마세요. Datablist는 leads를 소싱하고 정제하고 enrichment까지 처리하는 올인원 플랫폼이므로, 귀하는 딜 성사에 집중할 수 있습니다.","MASTER_TITLE":"세일즈 엔진을 더 빠르게 구축하세요","MASTER_BODY":"스타트업에게 속도가 전부입니다. 검증된 leads의 지속적인 유입이 필요하지만, 세일즈 파이프라인을 구축하는 일은 시간이 많이 듭니다. Datablist는 사용하기 쉬운 no-code 플랫폼 하나로 잠재고객 발굴부터 개인화된 outreach까지 전체 프로세스를 간소화합니다.","PROBLEM_TITLE":"문제는 제품이 아니라 Lead Gen입니다","PROBLEM_CONTENT_1":"데이터를 스크래핑하고, 리스트를 구매하고, CRM에서 내보내기를 해도 결국 데이터는 뒤죽박죽이 됩니다. 스프레드시트는 다운되고, 데이터는 금세 오래되고, 팀은 판매 대신 수작업 입력에 시간을 낭비합니다.","PROBLEM_CONTENT_2":"커스텀 데이터베이스는 리소스를 소모하고, 목적별 툴을 여러 개 구독하면 비용이 순식간에 커집니다. 이런 비효율이 딜을 잃게 만듭니다.","SOLUTION_TITLE":"구축, 정제, Enrichment를 위한 단일 플랫폼","SOLUTION_CONTENT_1":"Datablist는 데이터베이스의 파워와 스프레드시트의 단순함을 결합했습니다. 빠르게 움직이는 스타트업의 GTM 팀을 위해 설계된 유연한 no-code 툴입니다.","SOLUTION_CONTENT_2":"모든 lead 소스를 통합하고, 지저분한 데이터를 정리하며, 최신 정보로 연락처를 enrichment하고, 코드 한 줄 없이 귀사의 workflows를 자동화하세요. 스케일을 위한 유연하고 비용 효율적인 솔루션입니다.","FEATURES_TITLE":"성장을 가속하는 데 필요한 모든 것","GRID_SOURCE_TITLE":"구매 의향이 높은 leads 소싱","GRID_SOURCE_BODY":"정적인 데이터베이스를 넘어가세요. Job Board Scraper로 적극적으로 채용 중인 회사를 찾아보세요—예산과 해결해야 할 과제가 있다는 명확한 신호입니다. 매일 신선한 leads를 확보하세요.","GRID_SCRAPE_TITLE":"AI 기반 Scraping","GRID_SCRAPE_BODY":"경쟁사가 살 수 없는 유니크한 lead 리스트를 구축하세요. 우리의 AI Agent가 어떤 웹사이트든 스크래핑해 니치 데이터, 고객 케이스 스터디, 그리고 기업이 사용하는 특정 기술까지 찾아드립니다.","GRID_PERSONALIZE_TITLE":"스케일 있게 outreach를 개인화하세요","GRID_PERSONALIZE_BODY":"획일적인 email 발송을 멈추세요. AI Agent로 각 잠재고객에 대한 유니크한 인사이트를 수집하세요. 사전 조사를 철저히 했다는 것을 보여주는 대화 포인트를 찾아 더 많은 회신을 받아보세요.","GRID_DEDUPE_TITLE":"중복 제거 및 병합","GRID_DEDUPE_BODY":"강력한 Duplicates Finder로 lead 및 고객 리스트를 정리하세요. 여러 소스의 중복 레코드를 소중한 데이터를 잃지 않고 병합하여, 하나의 신뢰할 수 있는 기준 데이터를 보장합니다.","GRID_CLEAN_TITLE":"CRM을 Clean & Enrich","GRID_CLEAN_BODY":"CRM 데이터를 정확하고 최신 상태로 유지하세요. email을 검증하고, 회사명을 표준화하며, LinkedIn 및 기타 프로바이더의 최신 데이터로 레코드를 enrichment하여 캠페인 성과를 개선하세요.","GRID_AUTOMATE_TITLE":"Workflow를 자동화하세요","GRID_AUTOMATE_BODY":"반복 작업을 설정해 새로운, enrichment된 leads가 끊임없이 유입되도록 하세요. scraper와 enrichment를 일간 또는 주간으로 스케줄링하여 세일즈 팀이 항상 가득 찬 파이프라인을 유지하도록 지원합니다.","WORKFLOW_TITLE":"고품질 leads를 위한 검증된 workflow","WORKFLOW_STEP1_TITLE":"1. 구매 의향이 있는 기업 소싱","WORKFLOW_STEP1_CONTENT_1":"명확한 니즈가 있는 회사를 찾는 것부터 시작하세요. Job Postings Scraper로 귀하의 제품이나 서비스가 지원하는 역할을 적극 채용 중인 기업을 식별합니다.","WORKFLOW_STEP1_CONTENT_2":"이는 예산이 있고 시급히 해결해야 할 문제가 있다는 가장 강력한 신호 중 하나입니다.","WORKFLOW_STEP2_TITLE":"2. 의사결정자와 연락처 찾기","WORKFLOW_STEP2_CONTENT_1":"타깃 계정을 확보했다면, Waterfall People Search로 해당 기업 내 적합한 컨택—예: Head of Sales나 Marketing Director—을 찾으세요.","WORKFLOW_STEP2_CONTENT_2":"그다음 email finder와 phone finder로 검증된 연락처 정보를 확보하세요.","WORKFLOW_STEP3_TITLE":"3. 개인화를 위한 인사이트 수집","WORKFLOW_STEP3_CONTENT_1":"여기서 경쟁 우위를 확보합니다. AI Agent로 각 잠재고객을 리서치하세요. 최근 블로그 글, 케이스 스터디, 사용 중인 SaaS 툴까지 찾아달라고 요청할 수 있습니다.","WORKFLOW_STEP3_CONTENT_2":"눈에 띄고 회신을 이끌어내는 outreach 메시지를 만드는 데 필요한 유니크한 인사이트를 얻게 됩니다.","WORKFLOW_STEP4_TITLE":"4. 리스트를 정제하고 마무리하세요","WORKFLOW_STEP4_CONTENT_1":"outreach를 시작하기 전에 최종 리스트를 Duplicates Finder로 점검하세요. 중복된 연락처나 회사를 병합해 깔끔하고 체계적인 리스트를 보장합니다.","WORKFLOW_STEP4_CONTENT_2":"이제 리스트를 세일즈 CRM이나 email sequencer에 동기화할 준비가 되었습니다.","SEE_ALSO":"함께 보기","FAQ_Q1":"Datablist는 ZoomInfo나 Apollo 같은 일반적인 B2B 데이터베이스와 무엇이 다른가요?","FAQ_A1":"일반적인 B2B 데이터베이스가 정적이고 사전에 수집된 데이터를 제공하는 반면, Datablist는 라이브 소스에서 신선하고 독자적인 lead 리스트를 구축할 수 있게 해줍니다. Job Scrapers로 적극적인 채용 의향—강력한 구매 신호—이 있는 회사를 찾을 수 있습니다. 또한 우리 AI Agent는 커스텀 web scraping을 수행해 어떤 데이터베이스도 제공하지 못하는 니치 데이터를 수집하므로, 차별화된 경쟁 우위를 제공합니다.","FAQ_Q2":"우리 스타트업은 고품질 leads가 빠르게 필요합니다. Datablist가 어떻게 도울 수 있나요?","FAQ_A2":"Datablist는 속도를 위해 설계되었습니다. 19개 이상 잡보드에서 데이터를 집계하는 Job Postings Scraper로 즉시 니즈가 있는 회사를 소싱하는 것부터 시작하세요. 그런 다음 Waterfall enrichment tools로 의사결정자와 검증된 연락처 정보를 빠르게 찾을 수 있습니다. 계정 소싱부터 outreach-ready 리스트를 갖추기까지 전체 workflow가 몇 분 만에 끝납니다.","FAQ_Q3":"Datablist를 사용하려면 개발자나 기술 역량이 필요한가요?","FAQ_A3":"아닙니다. Datablist는 no-code 플랫폼입니다. 사용자 친화적인 스프레드시트 인터페이스에 강력한 AI와 자동화 툴을 결합했습니다. web scraping, 데이터 정제, enrichment 같은 복잡한 작업도 자연어 prompt와 point-and-click 인터페이스로 수행할 수 있습니다. 개발자가 아니라 GTM 팀을 위해 만들어졌습니다.","FAQ_Q4":"Datablist는 세일즈 팀의 email 개인화에 어떻게 도움이 되나요?","FAQ_A4":"일반적인 outreach는 효과가 없습니다. Datablist의 AI Agent는 세일즈 팀의 리서치 어시스턴트처럼 동작합니다. 각 잠재고객의 웹사이트를 방문해 최근 케이스 스터디, 사용 중인 특정 기술, 회사 뉴스와 같은 대화 포인트를 찾도록 지시할 수 있습니다. 이를 통해 대규모로 고도로 개인화된 메시지를 작성하고 회신율을 크게 높일 수 있습니다.","FAQ_Q5":"여러 소스에서 온 지저분한 lead 리스트가 있습니다. Datablist는 클리닝과 중복 제거를 어떻게 처리하나요?","FAQ_A5":"Datablist는 데이터 위생에 뛰어납니다. 우리의 Duplicates Finder는 fuzzy matching을 포함한 고급 알고리즘으로 이름이나 세부 정보가 조금 달라도 여러 파일에 걸친 유사 레코드를 식별합니다. 이후 중복을 자동으로 병합하고, 데이터 손실 없이 상충되는 정보(예: 여러 전화번호)를 통합하며, 필드를 표준화해 단일하고 깔끔한 기준 데이터를 만듭니다.","FAQ_Q6":"지속적으로 잠재고객이 유입되도록 lead generation을 자동화할 수 있나요?","FAQ_A6":"가능합니다. Datablist는 자동화를 위해 만들어졌습니다. Job Postings Scraper 같은 데이터 소스를 일간 또는 주간으로 실행되도록 스케줄링할 수 있습니다. 이를 통해 팀은 항상 타깃팅 가능한 high-intent 기업 리스트를 보유하게 되어, 최소한의 수작업으로도 일관되고 예측 가능한 세일즈 파이프라인을 구축할 수 있습니다.","FAQ_Q7":"가격 모델은 스타트업에게 비용 효율적인가요?","FAQ_A7":"물론입니다. Datablist는 enrichment에 크레딧 기반 시스템을 사용해 사용한 만큼만 비용을 지불하므로, 예산을 관리하는 스타트업에 이상적입니다. Free Email Validator 같은 많은 기능은 무제한으로 제공되며, 유료 플랜도 스크래핑, 클리닝, enrichment를 위한 여러 개의 개별 툴을 각각 구독하는 것보다 훨씬 합리적입니다.","FAQ_Q8":"Datablist는 기존 CRM 및 세일즈 툴과 어떻게 연동되나요?","FAQ_A8":"Datablist는 기존 workflow에 자연스럽게 녹아들도록 설계되었습니다. Pipedrive와는 직접 연동으로 데이터 동기화를 원활하게 제공합니다. HubSpot이나 Salesforce 같은 다른 CRM의 경우, 정제·enrichment된 리스트를 CSV 또는 Excel로 손쉽게 내보내 빠르게 가져올 수 있습니다. 또한 Zapier 같은 툴을 사용해 Datablist를 수천 개 앱과 연결할 수 있습니다."},"Alternatives":{"HERO_DESC":"Datablist는 Lead Management 툴이며 {toolName}의 훌륭한 대안입니다. Datablist는 맞춤형 lead generation workflow를 구축하기에 최적의 툴입니다. Datablist와 {toolName}를 비교해 귀하에게 가장 잘 맞는 툴을 확인해 보세요.","WHAT_IS_TITLE":"{toolName}는 무엇인가요?","WHAT_IS_DESC":"{toolName}는 세일즈 팀이 outreach 캠페인을 실행하도록 돕는 SaaS 툴입니다. 여러 data enrichment 서비스를 통합하고 AI로 개인화된 outreach 메시지 초안을 자동화합니다. 이후 {toolName}는 CRM 및 outreach 툴과 연결되어 캠페인을 발송합니다.","COMPARISON_TITLE":"Datablist가 더 뛰어난 영역","COMPARISON_CONTENT_1":"Datablist와 {toolName}는 lead 리스트를 관리하는 두 가지 툴입니다.","COMPARISON_CONTENT_2":"Datablist는 데이터 클리닝, lead 중복 제거, 그리고 우리의 REST API를 활용한 커스텀 workflow에 집중합니다. Datablist는 빠르며 수십만 개의 leads도 무리 없이 처리합니다.","COMPARISON_CONTENT_3":"Clay는 leads 소싱과 워터폴 enrichment에 집중합니다.","COMPARISON_CONTENT_4":"고급 중복 제거와 강력한 데이터 클리닝으로 데이터 품질을 보장하는 중앙집중형 leads 데이터베이스를 구축하고자 한다면, Datablist가 정답입니다.","BENEFITS_TITLE":"왜 팀들이 {toolName}에서 Datablist로 전환할까요?","COST_EFFECTIVE_TITLE":"Datablist는 {toolName}의 더 저렴한 대안입니다","COST_EFFECTIVE_DESC":"Clay는 제한적인 무료 플랜만 제공합니다. Clay Starter 플랜은 월 $149부터이며 크레딧은 2,000개뿐입니다. Datablist는 더 저렴한 월 구독과 더 합리적인 크레딧 패키지를 제공합니다. leads 스크래핑, 클리닝, enrichment를 많이 할수록 Datablist를 사용할 때 더 많은 비용을 절감할 수 있습니다.","CLEANING_TITLE":"고급 클리닝 및 중복 제거 툴","CLEANING_DESC":"Datablist는 고급 데이터 클리닝 툴을 제공합니다. 데이터 타입 변환부터 데이터 정규화까지, 대규모 데이터 클리닝에서는 스프레드시트 툴을 능가합니다. Lead Deduplication은 Datablist의 기본 기능입니다. 퍼지 매칭과 고급 중복 병합으로 동일한 lead를 두 번 enrichment하는 일을 방지합니다.","API_TITLE":"API로 확장 가능","API_DESC":"Datablist 데이터 스토어는 API로 완전하게 접근할 수 있습니다. 우리의 RESTful API로 컬렉션, 프로퍼티, 아이템을 생성하세요. Make.com이나 Zapier를 사용 중이신가요? API로 Datablist와 연결하여 강력한 outreach workflow를 구축하세요.","SCALE_TITLE":"더 큰 리스트 처리","SCALE_DESC":"Datablist는 클라우드 동기화로 최대 100,000개 항목을 처리하고, 데이터 조작·변환·클리닝 용도로는 최대 2,000,000개 항목까지 다룹니다. 성능 저하 없이 lead management를 확장하세요.","SUPERIOR_TITLE":"Datablist: Lead Generation을 위한 탁월한 대안","SUPERIOR_INTRO":"Datablist는 Clay와 같은 다른 lead generation 툴에서 사용자가 겪는 어려움을 잘 이해하고 있습니다. 그래서 우리는 플랫폼을 사용자 친화적이고 빠르며 기존 workflow에 쉽게 통합될 수 있도록 유연하게 설계했습니다. 직관적인 인터페이스로 학습 곡선을 최소화하고 설정 과정을 매끄럽게 하여, 번거로움 없이 빠르게 leads 생성 작업을 시작할 수 있습니다.","ACCURATE_DATA_TITLE":"정확하고 신뢰할 수 있는 데이터","ACCURATE_DATA_DESC":"우리는 데이터 정확도를 최우선으로 하여 최신의 정확한 연락처 정보를 제공합니다. 이는 더 효과적인 outreach 캠페인과 더 높은 전환율로 이어집니다. 다른 플랫폼에서 겪었던 불일치와 오래된 데이터 문제와는 작별하세요.","AFFORDABLE_PRICING_TITLE":"합리적인 가격","AFFORDABLE_PRICING_DESC":"Datablist는 모든 규모의 비즈니스에 적합한 경쟁력 있고 투명한 가격을 제공합니다. 비용 효율적인 모델로 예기치 않은 지출 없이 최고의 가치를 보장합니다. 다른 툴과 달리, 비용이 빠르게 불어나는 걱정을 하실 필요가 없습니다.","RESPONSIVE_SUPPORT_TITLE":"신속한 고객 지원","RESPONSIVE_SUPPORT_DESC":"전담 지원 팀이 항상 신속하게 도와드려, 겪으시는 문제를 빠르고 효율적으로 해결해 드립니다. 빠른 응답 속도와 전문성 있는 지원에 자부심을 갖고 있으며, 그 사이에 여러분은 가장 중요한 일—비즈니스 성장—에 집중하실 수 있습니다.","SUPERIOR_CONCLUSION":"매끄럽고 신뢰할 수 있으며 합리적인 lead generation 경험을 위해 Datablist를 선택하세요.","SEE_ALSO":"관련 자료","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESC":"회사 정보, 연락처 등으로 leads 데이터를 보강할 수 있는 data enrichment 서비스를 확인하세요.","DATA_SOURCES":"데이터 소스","DATA_SOURCES_DESC":"다양한 플랫폼과 웹사이트에서 데이터를 가져오고 스크래핑할 수 있도록 제공되는 모든 데이터 소스를 살펴보세요.","API_DOCS":"API 문서","API_DOCS_DESC":"포괄적인 REST API를 통해 기존 workflow와 Datablist를 통합하는 방법을 알아보세요.","LEAD_BUILDING":"lead 리스트 구축","LEAD_BUILDING_DESC":"종합 가이드와 툴로 고품질 lead 리스트 구축 역량을 강화하세요."},"AIPrompts":{"metadata":{"title":"AI Prompts","description":"당사의 AI prompts로 Lead Generation, Enrichment, 및 데이터 클렌징을 개선하세요. 이 prompts는 높은 품질의 leads를 찾고, 데이터를 정확하게 유지하도록 돕습니다. AI를 활용해 잠재 고객을 식별하고, lead 정보를 업데이트하세요. AI 기반 도구로 리드 관리 최적화를 통해 스케일업을 원하는 비즈니스에 적합합니다."},"breadcrumb":{"home":"Home","aiPrompts":"AI Prompts"},"header":{"category":"비즈니스 성장을 위한 AI 도구","title":"Lead Generation, Enrichment & 데이터 클렌징을 위한 Top AI Prompts","description":"리드 발굴, enrichment, 데이터 클렌징을 자동화하세요. 이 AI prompts는 GTM workflows를 확장합니다."},"enrichment":{"title":"AI Agent Prompts (Enrichment)","description":"이 prompts를 사용해 기존 항목을 enrichment하세요. 현재 레코드에서 누락된 세부 정보를 찾고, 리서치를 수행하거나, 각 행의 정보를 분석하도록 AI prompts를 실행할 수 있습니다."},"dataSource":{"title":"Source AI Agent Prompts (Data Source)","description":"이 prompts는 새로운 items를 생성합니다. 웹사이트를 스크래핑해 구조화된 정보를 수집하고, 특정 기준에 맞는 연락처를 찾거나, AI를 사용해 타깃 리스트를 처음부터 구축하세요. 새 데이터를 생성하기 위해 URL, 지시문, 또는 다른 컬렉션의 입력값으로 시작할 수 있습니다."},"cta":"Prompt 보기","detail":{"metadataTitle":"ChatGPT prompt for: {title}","metadataNotFound":"AI Prompt를 찾을 수 없습니다","pageTitle":"ChatGPT prompt for: {title}","pageTitleDataSource":"AI Agent prompt: {title}","breadcrumbHome":"Home","breadcrumbEnrichments":"Enrichments 스토어","breadcrumbAIPrompts":"AI Prompts","copiedText":"Prompt 복사됨","copyText":"prompt를 클립보드로 복사","relatedPrompts":"관련 Prompts"},"enrichmentContent":{"howToTitle":"이 prompt를 CSV 파일에서 어떻게 사용하나요?","howToIntro":"**Datablist는 전체 CSV 파일을 가져와 각 행에 바로 prompts를 실행할 수 있습니다.**","howToTemplates":"좋은 소식입니다! 필요한 prompt는 이미 Datablist의 \"Templates\" 섹션에 있습니다. 처음부터 시작할 필요가 없습니다. 작업에 맞는 템플릿을 선택하기만 하면 CSV의 모든 행에서 바로 실행할 수 있습니다. 몇 번의 클릭만으로 데이터를 손쉽게 변환하세요.","openDatablist":"Datablist 열기","noSignup":"회원가입 불필요","step1":"CSV 파일을 Datablist로 Import합니다. 그런 다음 헤더에서 \"Enrich\"를 선택하세요.","step2":"템플릿 선택: **{title}**","step2Image":"템플릿 선택","step3":"\"/\" 또는 \"{{\"를 사용해 prompt의 변수를 컬렉션 속성으로 대체하세요.","step3Image":"컬렉션 속성으로 변수 정의","step4":"모든 변수가 없더라도, prompt를 직접 수정하시면 됩니다.","step5":"**완료입니다!** 이제 CSV 파일의 모든 행에 prompt를 실행하고 결과를 새 컬럼에서 확인하세요. 🚀","costTitle":"비용은 얼마인가요?","costIntro":"선택지는 두 가지입니다. 둘 다 매우 간단합니다.","option1Title":"옵션 1 – 본인 OpenAI API key 사용.","option1Desc1":"당사 측 비용은 없습니다. key만 연결하면 Datablist가 귀하의 계정으로 요청을 보냅니다. 사용량 기준 OpenAI에 직접 비용을 지불합니다. 중간 수수료 없음. 추가 수수료 없음.","option1Desc2":"본인 API key 사용 시, 1,000 items 기준으로 OpenAI 비용은 약 **$2** 정도일 수 있습니다.","option1Desc3":"이미 OpenAI key가 있거나 비용을 완전히 통제하고 싶을 때 이상적입니다.\n**보너스:** 당사에서 rate limits를 두지 않습니다!","option2Title":"옵션 2 – Datablist 크레딧 사용.","option2Desc1":"API key가 없어도 괜찮습니다. Datablist의 내장 ChatGPT 계정을 사용할 수 있습니다. API 처리는 저희가 대신합니다. 결제는 Datablist 크레딧으로 하시면 됩니다.","option2List1":"API key 설정 – 생략","option2List2":"ChatGPT rate limits – 회피","option2List3":"계정 제약 – 더 이상 고민하지 않으셔도 됩니다","option2Desc2":"그냥 작동합니다.","tldr":"TL;DR","tldrKey":"**Use your key** = 더 저렴","tldrCredits":"**Use Datablist credits** = 더 간편","tldrEnd":"어떤 방식을 선택하셔도 통제권은 귀하에게 있습니다.","aiAgentTitle":"AI Agent prompts에 대한 안내","aiAgentDesc1":"이 prompt는 Datablist [AI Agent](/enrichments/ai-agent) enrichment용입니다. **AI Agent는 인공지능(AI)을 사용해 사용자를 대신해 작업을 수행하는 스마트 도구입니다. 웹사이트를 탐색하고, 정보를 찾기 위해 Google을 활용하며, 다양한 온라인 서비스와 상호작용할 수 있습니다.** 즉, 실시간 데이터와 최신 답변을 제공해 드립니다.","aiAgentDesc2":"반면 ChatGPT API는 입력 텍스트를 분석하고 기존 지식에 기반해 응답만 할 수 있습니다. 인터넷에 접속하거나 새로운 정보를 직접 수집하는 기능은 없습니다.","aiAgentDesc3":"AI Agent는 실시간 데이터를 가져와 보다 역동적인 경험을 제공하는 반면, ChatGPT API는 사전에 학습된 지식에 의존해 질의에 응답합니다.","aiAgentDesc4":"**[https://chatgpt.com/](https://chatgpt.com/)에서 직접 상호작용할 때는 Agent와 상호작용하는 것입니다. 때때로 prompt에 추가 정보를 제공하기 위해 온라인에 접속하기도 합니다(빈번하진 않음). 그러나 ChatGPT에 연결된 다른 도구들은 API를 사용합니다. 따라서 이 prompt는 ChatGPT API를 호출하는 다른 도구에서는 사용할 수 없다는 점을 기억하세요.**","aiAgentDesc5":"Datablist [AI Agent](/enrichments/ai-agent)는 CSV의 각 행마다 에이전트를 실행합니다."},"aiScraperContent":{"howToTitle":"이 AI Prompt 사용하는 방법","step1Title":"**Create a New Collection**: 데이터가 저장될 빈 새 컬렉션을 Datablist에서 생성하세요. 사이드바에서 '+ Create new collection'을 클릭합니다.","step1ImageAlt":"AI web scraping > Regular web scraping","step2Title":"**Select the AI Agent Source**: \"See all sources\"를 클릭하거나 \"Import\" -> \"Import From Data Sources\"로 이동하세요. \"AI Agent - Site Scraper\"를 선택합니다.","step2ImageAlt":"Select AI Agent - Site Scraper","step3Title":"**Configure the Source**:","step3Item1":"**Select Template**: \"Template\" 드롭다운에서 해당 prompt를 찾아 선택하세요. 위의 prompt가 자동으로 로드됩니다.","step3Item2":"**URL to Scrape**: 스크래핑할 URL을 입력하세요","step3Item3":"**Enable Pagination (Optional)**: 결과가 여러 페이지에 걸쳐 있다면, ***Enable Pagination***을 체크하고 적절한 ***Max Pages*** 한도(예: 10)를 설정하세요.","step3Item4":"**Customize (Optional)**: AI 모델을 조정하고(예: GPT-4o mini는 비용 효율적), 특정 요구에 맞춰 prompt를 수정하거나 예상 ***Outputs***를 변경할 수 있습니다.","step3ImageAlt":"AI web scraping > Regular web scraping","step4Title":"**Review Outputs**: ***Continue***를 클릭하세요. Datablist가 prompt에 정의된 출력 필드(Project Name, Client Company Name)를 보여줍니다. 각 항목 옆의 ***+*** 아이콘을 클릭해 컬렉션에 해당 속성(컬럼)을 생성하세요.","step4ImageAlt":"Outputs","step5Title":"**Run Import**: ***Run import now***를 클릭하세요. AI Agent가 prompt를 기반으로 웹사이트 스크래핑을 시작하고 컬렉션을 채웁니다.","pricingTitle":"Pricing","pricingDesc":"이 데이터 소스는 사용량 기준으로 Datablist 크레딧을 사용합니다. 비용은 웹사이트의 복잡도와 방문한 페이지 수에 따라 달라집니다.","pricingTest":"먼저 단일 페이지에서 AI Agent를 테스트 실행하여 비용을 추정하세요.","faqTitle":"FAQ","faq1Question":"동일한 구성으로 다시 실행하려면 어떻게 하나요?","faq1Answer":"AI Agent를 실행한 후, 데이터 테이블 우측 상단의 분홍색 버튼을 클릭하면 마지막 설정으로 다시 열 수 있습니다.","faq1ImageAlt":"기존 에이전트 설정 사용","faq2Question":"AI Agent가 보호된 웹사이트에 접근하거나 차단되면 어떻게 되나요?","faq2Answer":"AI Agent는 필요 시 자동으로 프록시 서버를 사용하여 스크래핑 방어나 지역 제한이 있는 웹사이트에 접근을 시도합니다. 성공 확률을 높여 주지만, 방어가 매우 강한 사이트는 여전히 어려울 수 있습니다.","faq3Question":"AI Agent로 얼마나 많은 데이터를 처리할 수 있나요?","faq3Answer":"AI Agent를 실행할 때(Enrichment 또는 Data Source), Datablist 컬렉션은 최대 100,000 items(행)까지 처리할 수 있습니다. 그보다 큰 데이터셋은 여러 컬렉션으로 분할해야 할 수 있습니다.","faq4Question":"AI Agent는 ChatGPT/Claude/Gemini enrichment와 어떻게 다른가요?","faq4Answer":"표준 AI enrichment(ChatGPT, Claude, Gemini)는 컬렉션에 이미 있는 데이터를 AI의 기존 지식으로 처리합니다. AI Agent는 실제 웹과 상호작용하며 Google 검색, 웹사이트 브라우징, prompt를 기반으로 새로운 정보를 추출할 수 있습니다.","faq5Question":"결과 정확도는 어느 정도인가요?","faq5Answer":"정확도는 prompt의 명확성·구체성, 작업의 복잡도, 온라인에서 이용 가능한 정보에 크게 좌우됩니다. 명확한 지침, 예시, 오류 처리 규칙을 제공하면 결과가 향상됩니다. Datablist는 신뢰도를 가늠할 수 있도록 AI Agent 출력에 대해 종종 confidence score를 제공합니다."},"aiOnColContent":{"step1Title":"**Create a New Collection**: 데이터가 저장될 빈 새 컬렉션을 Datablist에서 생성하세요. 사이드바에서 '+ Create new collection'을 클릭합니다.","step1ImageAlt":"새 컬렉션","step2Title":"**Configure the Source**:","step2Item1":"**Select Template**: \"Template\" 드롭다운에서 해당 prompt를 찾아 선택하세요. 위의 prompt가 자동으로 로드됩니다.","step2Item2":"**For every item in**: items가 있는 컬렉션을 입력하세요. 각 item에 대해 AI Agent가 실행됩니다.","step2Item3":"**Prompt**: 컬렉션의 변수를 사용해 prompt를 편집하세요. 속성 선택에는 \"/\"를 사용하세요.","step2Item4":"**Customize (Optional)**: AI 모델을 조정하고(예: GPT-4o mini는 비용 효율적), 특정 요구에 맞춰 prompt를 수정하거나 예상 ***Outputs***를 변경할 수 있습니다.","step2ImageAlt":"prompt 예시"}},"About":{"metadata":{"title":"회사 소개","description":"당사의 사명은 귀사의 비즈니스를 디지털 회사로 전환하도록 돕는 것입니다."},"jsonLd":{"description":"당사의 사명은 귀사의 비즈니스를 디지털 회사로 전환하도록 돕는 것입니다."},"vision":{"heading":"데이터로 비즈니스를 성장시키십시오","paragraph1":"협업을 통해 우리는 인류를 달에 착륙시켰고, 1900년 이후 평균 기대수명은 두 배로 늘었습니다.","paragraph2":"기술은 협업이 달성할 수 있는 성과를 증폭시키는 촉매이자 승수입니다. 1750년 산업혁명 이전에는 1인당 평균 소득이 약 6,000년마다 두 배가 되었지만, 그 이후로는 50년마다 두 배가 되었습니다.","paragraph3":"조직에서 기술은 사람의 역량을 확대해 더 많은 산출을 가능하게 하고, 반복 작업을 자동화하여 조직의 생산성을 높입니다.","paragraph4":"우리는 이러한 생산성 향상이 전 세계 생활 수준을 높이는 핵심이라고 믿습니다. 재화의 가격은 낮아지고, 생산성 증가는 사람들이 일 외의 활동에 더 많은 시간을 쏟을 수 있게 합니다.","paragraph5":"더 적은 일로 더 많이 만들어낼 때, 우리는 소중한 사람들과 보낼 시간이 더 많아집니다!"},"approach":{"heading":"당사의 접근 방식","paragraph1":"Datablist 설립 전, 저는 엔지니어 비중이 80%인 SaaS 회사에서 공동 창업자이자 CTO로 8년을 보냈습니다.","paragraph2":"우리는 제품 개발을 최적화하고 자동화했습니다. 테스트와 배포 파이프라인을 구축해 어떤 코드 수정도 고객에게 안정적인 신규 버전으로 이어지도록 했습니다.","paragraph3":"그럼에도 불구하고, 많은 회사들과—어쩌면 귀사도—마찬가지로 우리의 회사 운영은 스프레드시트에 의존하고 있었습니다. 직원 온보딩부터 메일링 리스트, 또는 <ProspectBuildingLink>영업 대상 리스트를 구축</ProspectBuildingLink>하는 일까지, 사용이 쉬운 스프레드시트 도구를 대체할 만한 것이 없습니다.","paragraph4":"내부 프로세스를 스프레드시트로 운영하면 디지털 전환의 절반은 이룬 셈입니다. 그러나 나머지 절반은 어렵습니다. 스프레드시트로 자동화를 구현하거나 여러 스프레드시트를 서로 연결하는 일은 기쁨보다 좌절을 더 많이 줍니다. 버전 난립, 중복 데이터, 유효하지 않은 데이터로 모두가 안 좋은 경험을 해봤을 것입니다.","paragraph5":"그래서 우리는 Datablist를 만들었습니다. Datablist는 유연성을 유지하면서도 데이터 구조를 제공하여, 귀사만의 고유한 프로세스를 구축할 수 있게 합니다.","paragraph6":"우리의 사명은 귀사의 비즈니스를 디지털 회사로 전환하도록 돕는 것입니다. 데이터로 구동되는 내부 도구를 갖춘 디지털 운영체제를 상상해 보세요. 확장 가능하고 유연하며 확장성까지 갖춰, 귀사의 디지털 운영체제가 비즈니스와 함께 성장합니다."},"learnMore":{"heading":"당사의 생각"},"team":{"heading":"팀","members":{"florian":{"name":"Florian Poullin","title":"창업자","description":"이력: IZBERG-Marketplace 공동 창업자 및 CTO (2019년 1월 프랑스 상장사 Open Group에 인수)"},"habib":{"name":"Habib Benabdeslam","title":"GTM & Growth 전문가","description":"Habib은 사람, 기술, 경쟁에 대한 열정을 결합해 Datablist의 성장을 이끕니다."}},"tooltips":{"followLinkedIn":"LinkedIn에서 {name} 팔로우하기","followTwitter":"Twitter에서 {name} 팔로우하기","bookCall":"{name} 통화 일정 예약하기"},"altText":"{name} - Datablist"}},"Contact":{"metadata":{"title":"문의 ","description":"지원, 영업 문의 또는 데모 예약을 위해 Datablist에 문의하세요."},"header":{"category":"문의","title":"메시지를 보내주세요","description":"지원 요청, 팀과 채팅, 가격 안내를 받아보세요."},"support":{"title":"기술 지원","description":"기술 지원이 필요하시면 email로 문의해 주세요. 스크린샷과 가능한 한 많은 관련 배경 정보를 함께 보내주세요.","showEmailButton":"지원 email 보기","generatingButton":"email 버튼 생성 중...","emailButton":"여기를 클릭하여 email을 보내세요"},"sales":{"title":"영업 및 마케팅","description":"영업 팀에 메시지를 보내시려면 이 양식을 작성해 주세요.","button":"영업 문의"},"demo":{"title":"데모 신청","description":"영업 팀이 제공하는 맞춤형 라이브 데모로 제품을 자세히 알아보세요.","button":"데모 상담 예약"},"salesPage":{"metadata":{"title":"문의 ","description":"지원, 영업 문의 또는 데모 예약을 위해 Datablist에 문의하세요."},"breadcrumb":{"contact":"문의하기","current":"영업 및 마케팅"},"header":{"category":"문의","title":"영업 및 마케팅 팀에 문의하세요","description":"비즈니스 문의는 아래 양식을 작성해 주세요."}}},"Pricing":{"metadata":{"title":"요금제","description":"데이터 업무에 꼭 맞는 요금제를 선택하세요. 개인과 팀을 위한 유연한 요금 옵션을 제공합니다."},"header":{"title":"요금제","subtitle":"무료로 시작하세요 (<link>회원가입 없이 바로 시작할 수 있습니다</link>). 업그레이드하여 데이터의 잠재력을 최대한 활용하세요."},"switcher":{"monthly":"월간","yearly":"연간","discount":"-20%"},"plans":{"creditsYear":"연간 {credits} credits.","creditsMonth":"월 {credits} credits.","includedUsers":"{users} {users, plural, =1 {user} other {users}} 포함","extraUsersMonth":"이후 {price}/user/month","extraUsersYear":"이후 {price}/user/year","free":{"name":"무료 플랜","price":"0","users":"단일 사용자","extraUsers":"추가 사용자는 허용되지 않습니다","credits":"연 500 credits","bulletsText":"무료 플랜에 포함된 기능:","bullets":["무제한 컬렉션","브라우저 저장소에 저장되는 컬렉션당 최대 100만 개 항목 가져오기","중복 항목 찾기","무료 데이터 enrichment 사용 가능","CSV 및 Excel 파일 가져오기","CSV 및 Excel 파일로 내보내기"],"restrictions":["Cloud 동기화 없음","Enrichment 자동화 없음","프리미엄 enrichment 없음","커스텀 API enrichment 없음","내보내기 연동 없음"]},"starter":{"name":"Starter","creditsExtra":"추가 credits가 필요하면 top-up을 사용하세요.","billedYearly":"연간 결제","bulletsText":"무료 플랜의 모든 기능 + 다음 기능:","bullets":["브라우저 저장소에 저장되는 컬렉션당 최대 200만 개 항목 가져오기","항목 100,000개 미만의 컬렉션을 Cloud로 동기화","정규식과 필터 그룹을 활용한 고급 필터링","고급 중복 제거 알고리즘과 자동 병합 설정","여러 컬렉션 간 중복 제거","고급 데이터 추출 알고리즘","JavaScript 실행용 코드 라이브러리","AI Agent enrichment","모든 프리미엄 enrichment 사용 가능","우선 지원"],"restrictions":["Enrichment 자동화 없음","내보내기 연동 없음","커스텀 API enrichment 없음","REST API 접근 불가"]},"growth":{"name":"Growth","creditsExtra":"추가 credits가 필요하면 top-up을 사용하세요.","billedYearly":"연간 결제","mostPopular":"가장 인기","bulletsText":"Starter 플랜의 모든 기능 + 다음 기능:","bullets":["Enrichment 자동화","데이터 소스 자동화","커스텀 API enrichment","Datablist REST API","기술 온보딩"]},"common":{"perMonth":"/월","signUp":"가입하기","notIncluded":"포함되지 않음:"}},"faq":{"title":"자주 묻는 질문","subtitle":"아래에서 구독 요금제에 대해 가장 자주 받는 질문의 답변을 확인하실 수 있습니다","questions":{"canIUseFree":{"title":"Datablist를 무료로 사용할 수 있나요?","message":"무료 플랜은 영구적으로 무료입니다. 가끔 필요가 있는 개인 사용자를 위해 설계되었습니다. 유료 플랜은 더 많은 데이터 작업, Cloud 동기화, 팀 관리 기능을 제공합니다."},"whatIsCollection":{"title":"Datablist의 컬렉션이란 무엇인가요?","message":"Datablist에서는 데이터가 아이템을 담는 컬렉션으로 구성됩니다. 하나의 컬렉션 안의 모든 아이템은 동일한 데이터 구조를 공유합니다. 예를 들어, 컬렉션은 세일즈 leads 목록, 메일링 리스트 email, 채용 후보자 목록이 될 수 있습니다. <link>컬렉션 문서 보기</link>."},"whereIsDataStored":{"title":"내 데이터는 어디에 저장되나요?","message":"Datablist는 구조화된 데이터를 저장하기 위해 웹 브라우저가 제공하는 로컬 데이터베이스를 사용합니다. 로컬 데이터베이스는 빠른 접근과 반응성 높은 사용자 경험에 적합합니다. 하지만 이 로컬 데이터는 브라우저에 한정되며 손실 위험이 있습니다. 유료 플랜에서는 최대 100,000개 아이템의 컬렉션이 Cloud로 동기화됩니다."},"canIExport":{"title":"Datablist에 저장된 데이터를 내보낼 수 있나요?","message":"물론입니다! 데이터는 고객님의 자산이며 내보내기는 무료이고 무제한입니다. 컬렉션에서 직접 CSV 또는 Excel 형식으로 데이터를 내보낼 수 있습니다. Cloud에 동기화되지 않은 컬렉션의 경우, 브라우저가 데이터를 삭제할 상황에 대비해 정기적으로 내보내어 백업하시길 권장합니다. 또한 Excel은 셀 크기와 행 수에 제한이 있습니다. 큰 컬렉션은 Excel 형식으로 내보내지 못할 수 있습니다."},"whatAreCredits":{"title":"credits는 무엇에 사용되나요?","message":"일부 enrichment(OpenAI, Google Translate, Deepl, Email Finder 등)는 서드파티 API에 의존합니다. 대부분의 서드파티 API는 유료 서비스입니다. 이를 위해 Datablist는 credit 시스템을 사용합니다. 그 외 기능(중복 제거, 편집, 필터링 등)은 무제한입니다. <link>Datablist Credits 자세히 보기</link>."},"whenCreditsYearly":{"title":"연간 플랜의 credits는 언제 지급되나요?","message":"연간 플랜의 경우, 가입 시 월별 credits의 합계가 한 번에 지급됩니다. Starter 플랜은 60,000 credits를 즉시 받으며, Growth 플랜은 240,000 credits를 받습니다."},"whatIsEnrichment":{"title":"enrichment란 무엇인가요?","message":"<enrichmentsLink>Enrichment</enrichmentsLink>는 컬렉션 아이템 전체 또는 일부에 작업을 수행하는 온라인 프로그램입니다. Datablist <storeLink>Enrichments Store</storeLink>에는 리드 제너레이션, 텍스트 번역, web scraping, ChatGPT 등을 위한 enrichment가 포함되어 있습니다."},"premiumEnrichmentsList":{"title":"프리미엄 enrichment 목록이 있나요?","message":"저희는 매달 새로운 enrichment를 추가합니다. 최신 목록을 확인하려면 <link>Datablist를 열고</link> 컬렉션 헤더의 \"Enrich\" 버튼을 클릭하세요. 모든 enrichment가 그곳에 나열되어 있으며, 프리미엄 enrichment에는 \"Premium\" 라벨이 표시됩니다."},"canBrowserDelete":{"title":"브라우저가 내 로컬 데이터를 삭제할 수 있나요?","message":"브라우저 캐시를 지우거나 하드 드라이브 용량 한계에 도달하면 발생할 수 있습니다. 사이트 데이터를 지울 때 Datablist가 사용하는 로컬 데이터베이스는 쿠키, 캐시 데이터와 함께 사이트가 생성한 데이터와 함께 삭제됩니다. 데이터 손실을 방지하려면 Cloud 동기화(유료 플랜에서 100,000개 미만 아이템의 컬렉션에 제공)를 사용하세요. 또 다른 방법은 주기적으로 CSV 파일로 데이터를 내보내는 것입니다."},"cloudSyncLimit":{"title":"Cloud 동기화 한도에 도달하면 어떻게 되나요?","message":"유료 플랜은 100,000개 미만 아이템의 컬렉션에 대해 Cloud 동기화를 제공합니다. 더 큰 컬렉션에서는 아직 Cloud 동기화가 불가능하며, 컬렉션 데이터는 브라우저에만 저장됩니다."},"browserSupport":{"title":"모든 웹 브라우저에서 Datablist가 작동하나요?","message":"Datablist는 최신 웹 브라우저가 필요합니다. Chrome, Safari, Firefox, Edge의 최신 버전을 지원합니다. Internet Explorer는 지원하지 않습니다. 현재는 데스크톱 웹 브라우저를 대상으로 합니다. 모바일 웹 브라우저와 호환되는 모바일 버전은 로드맵에 있습니다."},"freeVsPremium":{"title":"무료 enrichment와 프리미엄 enrichment의 차이는 무엇인가요?","message":"무료 enrichment는 무료 등록 사용자에게 제공되며, 프리미엄 enrichment는 유료 고객에게만 제공됩니다. 프리미엄 enrichment는 보통 서드파티 서비스에 의존하며 월별 호출 한도가 있습니다."},"hitEnrichmentLimit":{"title":"프리미엄 enrichment 한도에 도달하면 어떻게 되나요?","message":"credits를 모두 사용하면 프리미엄 enrichment를 실행할 수 없습니다. credits를 top-up 하거나 월별 credits가 갱신될 때까지 기다리실 수 있습니다."},"paymentOptions":{"title":"결제 옵션은 무엇이 있나요?","message":"모든 월간 결제는 신용카드 또는 Paypal로 진행됩니다. Datablist는 신용카드 데이터 처리를 위해 Chargebee, Stripe 또는 Paypal을 사용합니다."},"canCancel":{"title":"언제든 플랜을 취소할 수 있나요?","message":"Datablist와의 약정 의무는 없습니다. 구독 섹션으로 이동해 'Downgrade account'를 클릭하세요."},"canUpgrade":{"title":"Starter에서 Growth 플랜으로 업그레이드할 수 있나요?","message":"가능합니다. Starter에서 Growth 플랜으로 업그레이드할 수 있습니다. 업그레이드 시 변경 사항은 즉시 적용되며, 다음 결제 주기 전 남은 일수에 대해 일할 계산되어 청구됩니다. 예를 들어 매달 5일이 결제일이고 1일에 Growth로 업그레이드하면, 남은 5일에 대한 구독 금액 차액이 청구됩니다."},"canDowngrade":{"title":"Growth에서 Starter 플랜으로 다운그레이드할 수 있나요?","message":"가능합니다. Growth에서 Starter 플랜으로 다운그레이드할 수 있습니다. 다운그레이드 시 변경 사항은 해당 결제 주기 종료 시점에 적용됩니다. 예를 들어 결제일이 매달 5일이고 1일에 Starter로 다운그레이드하면, 5일까지는 계속 Growth 플랜이 유지됩니다."},"refunds":{"title":"환불을 제공하나요?","message":"죄송하지만 환불은 제공하지 않습니다. 제품은 무료 버전으로 테스트할 수 있습니다."}}},"cloudAgency":{"title":"Cloud 에이전시이신가요? 문의하세요!","description1":"리드 제너레이션 에이전시이신가요? 귀사에 맞춘 요금제를 함께 설계해 드립니다.","description2":"맞춤 연동이나 특정 요구사항을 위한 Professional Services도 제공합니다.","description3":"<link>미팅을 예약하세요.</link>","complexUseCase":{"title":"복잡한 사용 사례가 있으신가요?","description1":"에이전시, 기술 파트너, Professional Services 파트너, 혹은 복잡한 요구가 있는 누구든지 <contactLink>문의</contactLink>하시거나 <bookLink>저희 팀과 미팅을 예약</bookLink>해 주세요.","description2":"또한 <helpLink>Help Center</helpLink>에서 Datablist의 동작 방식을 자세히 확인하세요."}},"v4":{"hero":{"eyebrow":"요금제","title":["심플한 요금제. 정확한 데이터.","강력한 AI workflow."],"description":"필요한 기능에 맞는 요금제를 선택하고, 사용량이 늘어나면 크레딧을 추가하세요.","badges":["개인 및 팀을 위한 요금제","데이터 작업 무제한","언제든지 해지 가능"],"note":"유료 요금제에는 데이터 보강용 크레딧이 포함됩니다. 무료 요금제에는 연간 500크레딧이 포함됩니다."},"billing":{"monthly":"월간","yearly":"연간","save":"{discount}% 할인"},"common":{"currency":"$$","currencyCode":"USD","price":"{currency}{amount}","perMonth":"/월","freeForever":"평생 무료","billedYearly":"연간 결제","includedCredits":"포함된 크레딧","freeCredits":"연간 500크레딧","creditsSelector":"월 {amount}크레딧","creditsComparison":"월 {amount}크레딧","includedInPlan":"요금제에 포함","addOnNote":"월 +${price} 애드온","choose":"{reason} {name} 요금제를 선택하세요","featuresPrevious":"<muted>{name}</muted>의 모든 기능과 다음 기능이 제공됩니다:","popular":"가장 인기 있음","breakdown":"상세 내역 보기","startFree":"무료로 시작하기","startTrial":"무료로 시작하기","limited":"제한적 제공","limitedTooltip":"무료로 제공되는 500크레딧으로 이용할 수 있습니다. 무료 요금제에서는 실행 속도가 더 느립니다.","loading":"요금 정보를 불러오는 중…","creditsMonth":"월 {amount}크레딧","creditsYear":"연간 {amount}크레딧","includedUsers":"{users, plural, =1 {사용자 1명 포함} other {사용자 #명 포함}}","extraUsersMonth":"이후 사용자당 월 {price}","extraUsersYear":"이후 사용자당 연 {price}","annualBilling":"연간 {price} 결제","buyCredits":"Datablist에서 크레딧 구매"},"plans":{"free":{"name":"무료","tag":"브라우저에서 데이터를 정리하고 탐색하는 개인 사용자를 위한 요금제입니다.","cta":"무료로 시작하기","micro":"카드 등록이 필요하지 않습니다.","choose":"간단한 중복 제거와 데이터 정리만 필요하다면","featuresHeading":"포함된 주요 기능:","features":["<accent>데이터 정리 및 추출 도구 5개</accent>: 중복 제거, 찾기 및 바꾸기, 일괄 편집","자체 키를 사용한 ChatGPT / Claude 연동","AI 편집(제한적 제공)","테이블당 200만 레코드, 브라우저에만 저장","사용자 1명","제한된 데이터 보강","느린 실행 속도","클라우드 백업 미제공"]},"starter":{"name":"Starter","tag":"스크래핑, 데이터 보강 및 정리 workflow를 실행하는 개인 사용자를 위한 요금제입니다.","cta":"무료로 시작하기","micro":"카드 등록이 필요하지 않습니다.","choose":"하나의 플랫폼에서 leads를 스크래핑하고, 계정을 조사하며, 데이터를 보강하려면","featuresHeading":"무료 요금제의 모든 기능과 다음 기능이 제공됩니다:","features":["<accent>50개 이상의 lead 스크래핑 및 데이터 보강 도구</accent>: email 및 전화번호 finder, LinkedIn, 도메인, 기업 데이터 등","<accent>20개 이상의 고급 정리 도구</accent>: 검증, 클리너, 파서","Sales Navigator 스크래퍼","AI 리서치 에이전트 및 AI 스크래핑 에이전트","클라우드 백업, 테이블당 최대 10만 행","{users, plural, =1 {사용자 1명 포함} other {사용자 #명 포함}}","기본 지원"]},"growth":{"name":"Growth","tag":"데이터 보강을 자동화하는 개인 및 소규모 팀을 위한 요금제입니다.","cta":"무료로 시작하기","micro":"카드 등록이 필요하지 않습니다.","choose":"데이터를 보강하고 workflow를 자동화하려면","featuresHeading":"Starter의 모든 기능과 다음 기능이 제공됩니다:","features":["자동화(예약 및 트리거 기반)","REST API + HTTP 호출","연동(Lemlist, Pipedrive 등)","{users, plural, =1 {사용자 1명 포함} other {사용자 #명 포함}}","우선 지원"]},"scale":{"name":"Scale","tag":"GTM 시스템을 대규모로 운영하는 성장 중인 팀과 에이전시를 위한 요금제입니다.","cta":"무료로 시작하기","micro":"카드 등록이 필요하지 않습니다.","choose":"대규모 데이터베이스를 관리하고, 자체 AI 키를 사용하며, 미사용 크레딧을 유지하려면","featuresHeading":"Growth의 모든 기능과 다음 기능이 제공됩니다:","features":["크레딧 이월","AI 에이전트에서 자체 키 사용","클라우드 백업, 테이블당 최대 20만 행","전담 고객 성공 매니저","우선 지원 + 온보딩"]}},"enterprise":{"title":"Enterprise","description":"맞춤형 크레딧 규모, 보안 검토, 청구서 결제, 전담 고객 성공 매니저 및 맞춤형 온보딩을 제공합니다. 특정 요구 사항이 있는 에이전시와 대규모 팀에 적합합니다.","cta":"영업팀에 문의하기"},"comparison":{"title":"모든 기능 비교","description":"모든 요금제를 한눈에 비교해 보세요. 섹션 제목을 클릭하면 접을 수 있습니다.","groups":[{"title":"요금제","rows":[{"label":"포함된 무료 크레딧"},{"label":"팀원","values":["1","무제한 ∞","무제한 ∞","무제한 ∞"]},{"label":"우선 지원"},{"label":"온보딩"},{"label":"크레딧 이월"},{"label":"전담 고객 성공 매니저"}]},{"title":"Lead Generation 도구","rows":[{"label":"Waterfall Email Finder","description":"이름과 회사 또는 LinkedIn URL을 이용해 검증된 B2B emails를 찾습니다. 20개 이상의 제공업체를 결합하며, 찾은 email당 25크레딧만 지불합니다."},{"label":"Waterfall 전화번호 Finder","description":"LinkedIn 프로필 URL에서 휴대전화 번호를 찾습니다. 번호를 찾은 경우에만 비용을 지불합니다."},{"label":"LinkedIn 프로필 스크래퍼","description":"계정 위험 없이 LinkedIn 또는 Sales Navigator 프로필 URL에서 역할, 회사, 경력, 학력 등 최대 40개의 데이터 포인트를 가져옵니다."},{"label":"기업 데이터 보강","description":"도메인 또는 LinkedIn 페이지를 기반으로 업종, 규모, 위치, 설립 연도 등 최대 9개의 기업 데이터 포인트를 보강합니다."},{"label":"기업 도메인 Finder","description":"회사명으로 웹사이트와 도메인을 찾고 신뢰도 등급을 제공합니다."},{"label":"채용 게시판 스크래핑","description":"LinkedIn, Indeed, Glassdoor를 포함한 19개 이상의 채용 게시판에서 채용 공고를 스크래핑합니다. 직무명, 위치, 회사 등을 기준으로 필터링할 수 있습니다."},{"label":"Sales Nav 스크래퍼(본인 계정)","description":"본인의 LinkedIn 계정을 사용해 LinkedIn 또는 Sales Navigator 검색 결과에서 leads나 회사를 스크래핑합니다. lead당 10크레딧입니다."},{"label":"Sales Nav 스크래퍼(계정 불필요)","description":"본인 계정을 연결하지 않고 Sales Navigator 검색 결과에서 leads나 회사를 스크래핑합니다. lead당 20크레딧입니다."}]},{"title":"AI 및 자동화","rows":[{"label":"ChatGPT / Claude 연동(자체 키)","description":"자체 API 키를 사용해 모든 행에서 원하는 LLM prompt를 실행합니다. Datablist 크레딧은 사용되지 않습니다."},{"label":"AI 리서치 에이전트","description":"에이전트에 원하는 작업이나 질문을 전달하면 Google을 검색하고 웹사이트를 방문해 작업을 수행합니다."},{"label":"자동화","description":"일정 또는 트리거에 따라 데이터 보강과 가져오기를 자동으로 실행합니다."},{"label":"REST API + HTTP 호출","description":"프로그래밍 방식으로 데이터를 읽고 쓰며, workflow에서 외부 엔드포인트를 호출합니다."},{"label":"연동(Lemlist, Pipedrive 등)","description":"leads를 타사 서비스로 바로 전송합니다."},{"label":"AI 에이전트에서 자체 키 사용","description":"AI 에이전트에 자체 모델 API 키를 사용해 비용을 절감합니다."}]},{"title":"스프레드시트 기능","rows":[{"label":"저장 공간","values":["브라우저에만 저장","클라우드 동기화","클라우드 동기화","클라우드 동기화"]},{"label":"테이블 수","values":["∞","∞","∞","∞"]},{"label":"테이블당 가져오기 한도","values":["200만 레코드","200만 레코드","200만 레코드","200만 레코드"]},{"label":"테이블당 동기화 행 수","values":["-","10만","10만","20만(출시 예정)"]},{"label":"버전 기록(출시 예정)","values":["없음","7일","14일","30일"]},{"label":"AI 편집","values":["무료 편집 3회","무제한","무제한","무제한"]}]},{"title":"데이터 정리 기능","rows":[{"label":"단일 파일 중복 제거","description":"설정 가능한 일치 규칙을 사용해 컬렉션 내 중복 항목을 찾거나 병합 또는 삭제합니다."},{"label":"찾기 및 바꾸기","description":"특정 속성 또는 전체 컬렉션에서 값을 검색하고 바꿉니다."},{"label":"일괄 편집","description":"여러 항목을 한 번에 편집하여 값을 일괄 설정하거나 바꿉니다."},{"label":"텍스트에서 데이터 추출","description":"모든 텍스트 필드에서 emails, URL 및 전화번호를 추출합니다."},{"label":"Email 유효성 검사","description":"email 형식, 도메인 및 MX 레코드를 즉시 확인합니다. 무료로 즉시 검사할 수 있습니다."},{"label":"휴지통 및 데이터 복구","description":"실수로 삭제한 항목을 휴지통에서 복구합니다."},{"label":"다중 파일 중복 제거","description":"여러 컬렉션 또는 가져오기 데이터 전반의 중복을 한 번에 제거합니다."},{"label":"Email 검증","description":"여러 제공업체를 통해 형식, 도메인, 메일함 및 catch-all을 포함한 전체 전송 가능성을 확인합니다."},{"label":"회사명 클리너","description":"LLC와 Inc를 제거하고 대소문자를 수정해 회사명을 표준화합니다."},{"label":"전화번호 클리너","description":"전화번호 형식을 표준화하고 누락된 국가 코드를 추가합니다."},{"label":"이름 파서","description":"전체 이름을 이름과 성으로 분리하고 성별과 직함을 감지합니다."},{"label":"언어 감지","description":"모든 텍스트의 언어를 식별하고 신뢰도 점수를 제공합니다."}]}]},"credits":{"title":"크레딧 이용 방식","description":"모든 요금제에서 workflow 실행, 데이터 정리, 텍스트 추출 및 자체 API 키 사용은 항상 무료입니다. 크레딧은 email finder, 전화번호 finder, LinkedIn 스크래핑 등 유료 데이터 소스를 사용하는 데이터 보강에 사용됩니다. 무료 요금제에는 연간 500크레딧이 포함됩니다. 유료 요금제에는 결제 주기에 따른 크레딧이 포함되며, 언제든지 추가 구매할 수 있습니다.","cards":[{"title":"모든 요금제에서 무료 제공","description":"무료 요금제에는 연간 500크레딧이 포함됩니다. 유료 요금제의 크레딧 제공량은 결제 주기에 따라 달라집니다. 유료 데이터 소스를 사용하는 데이터 보강에만 크레딧이 차감됩니다."},{"title":"정기 크레딧 팩","description":"매월 더 많은 크레딧이 필요하신가요? 크레딧당 가장 유리한 요율의 정기 팩을 추가하세요. 팩이 클수록 크레딧당 가격이 낮아집니다."},{"title":"일회성 충전","description":"일시적으로 사용량이 증가할 때는 일회성 충전 팩을 구매하세요. 충전 크레딧은 만료되지 않으며, 요금제를 해지해도 유지됩니다."}],"note":"데이터 정리, 중복 제거 및 자체 API 키로 실행하는 모든 도구에는 크레딧이 사용되지 않습니다.","costsTitle":"크레딧으로 이용할 수 있는 기능","costsDescription":"가장 인기 있는 크레딧 기반 도구와 이용 비용을 확인하세요.","costs":[{"name":"기업 도메인 Finder","description":"조회당 <accent>1크레딧</accent> • 회사명으로 도메인을 빠르게 일괄 확인"},{"name":"AI 리서치 에이전트","description":"<accent>사용량 기반</accent> • 자체 API 키 사용 시 무료 및 무제한"},{"name":"Sales Navigator 스크래퍼","description":"내보낸 lead당 <accent>10~20크레딧</accent> • 검증된 email 및 기업 인텔리전스"},{"name":"Waterfall Email Finder","description":"찾은 email당 <accent>25크레딧</accent> • 결과가 있을 때만 과금(찾지 못하면 0크레딧)"},{"name":"LinkedIn 프로필 스크래퍼","description":"프로필당 <accent>25크레딧</accent> • 경력, 직무 이력 및 연락처 데이터 스크래핑"},{"name":"채용 게시판 스크래핑","description":"공고당 <accent>10크레딧</accent> • 직무명, 회사, 급여 및 위치 추출"}]},"topup":{"title":"일회성 충전 규모 선택","description":"맞춤 수량 없이 정해진 팩만 제공되므로, 표시된 금액 그대로 결제됩니다.","question":"크레딧이 얼마나 필요하신가요?","credits":"크레딧","summary":"요약","oneTime":"일회성","rate":"1,000크레딧당 {rate}","delivered":"{label} ({amount})","offRate":"기본 요율 대비 {discount}% 할인","baseRate":"기본 요율(1천 크레딧당 {rate})","labels":["제공 크레딧","적용 구간","만료","결제 통화"],"never":"만료 없음","cta":"지금 구매 →","tiles":[{"title":"필요할 때 결제","description":"유료 요금제가 필요합니다. 필요한 경우에만 크레딧을 구매하세요."},{"title":"요금제와 합산","description":"월간 요금제의 기본 제공량에 추가됩니다."},{"title":"즉시 지급","description":"결제가 확인되는 즉시 크레딧이 지급됩니다."}],"tierLabels":["20k","40k","60k","80k","100k","120k","140k","200k","300k","500k","750k","1M","1.25M","1.5M"]},"faq":{"title":"자주 묻는 질문","items":[{"question":"크레딧이란 무엇이며, 어떤 기능에서 사용되나요?","answer":"크레딧은 Datablist의 내부 통화입니다. 유료 데이터 소스를 호출하는 데이터 보강 기능(email 및 전화번호 finder, 스크래퍼, LinkedIn, 기업 데이터, 번역)에 크레딧이 사용됩니다. 데이터 정리, 중복 제거 및 자체 API 키를 사용하는 도구에는 크레딧이 사용되지 않습니다."},{"question":"크레딧은 만료되거나 이월되나요?","answer":"요금제 크레딧은 결제 주기에 맞춰 갱신되며 이월되지 않습니다. 충전 크레딧은 만료되지 않습니다."},{"question":"정기 애드온과 일회성 충전의 차이는 무엇인가요?","answer":"정기 애드온은 더 유리한 크레딧당 요율로 매월 크레딧을 충전하므로 꾸준히 사용할 때 적합합니다. 일회성 충전은 일시적인 사용량 증가를 위한 단일 구매이며 만료되지 않습니다."},{"question":"자체 API 키를 사용할 수 있나요?","answer":"예. 모든 요금제에서 LLM 도구(ChatGPT, Claude, Gemini 등)를 자체 키로 무료 실행할 수 있습니다. Starter 이상에서는 Apollo, PeopleDataLabs, Moz 및 Bing도 자체 키로 실행할 수 있습니다."},{"question":"데이터 작업에 요금이 부과되나요?","answer":"아니요. 중복 제거와 정리 같은 데이터 작업은 무료입니다. 데이터 보강에는 데이터 크레딧만 사용되며, 별도의 작업 크레딧은 추가로 부과되지 않습니다."},{"question":"결과를 찾은 경우에만 과금되는 데이터 보강 기능은 무엇인가요?","answer":"대부분의 finder(email, 전화번호, 개인 email)는 결과가 있을 때만 과금되므로, 찾지 못한 경우에는 비용을 지불하지 않습니다. 일부 데이터 보강 기능은 시도할 때마다 과금됩니다. 전체 상세 내역은 도움말 센터에서 확인하세요."},{"question":"무료 500크레딧은 어떻게 받을 수 있나요?","answer":"비즈니스 email 주소로 Datablist에 가입하면 무료 500크레딧을 받을 수 있습니다."}]},"accessibility":{"included":"포함","notIncluded":"미포함"}}},"Logos":{"SUBTITLE":"귀사도 훌륭한 기업들과 함께하게 됩니다"},"LocaleSwitcher":{"label":"언어 변경"},"ThemeSwitcher":{"LABEL":"테마","LIGHT":"라이트","DARK":"다크","AUTO":"자동"},"TalkToUs":{"TITLE":"저희가 매주 3~5시간을 더 드린다면 무엇을 하시겠습니까?","SUBTITLE":"Datablist를 한 번 사용해 보시고 workflow 자동화가 얼마나 쉬운지 확인해 보세요. 이미 18,000명 이상의 사용자가 경험하고 있습니다!","CTA":"문의하기","START_FOR_FREE":"무료로 시작하기!"}},"now":"$undefined","timeZone":"UTC","children":["$","$L1e",null,{"children":[["$","$L1f",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":"$undefined"}]}],"$L20",["$","$L21",null,{}]]}]}] </article></body></html>

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저는 호기심 많은 기업가입니다.

사람, 기술, 그리고 경쟁을 좋아합니다. 가끔은 제게 독이 될 정도로요.

뉴욕에는 가지 못했지만, 매주 금요일 오후에는 프랑크푸르트 어딘가에서 낯선 사람들과 대화하는 저를 보실 수 있을 겁니다.

현재 @Datablist에서 그로스 관련 모든 일을 하고 있습니다.

","FLORIAN_DESCRIPTION":"

Datablist의 Founder & CEO입니다.

본질적으로 엔지니어입니다. 만들고 문제를 해결하며 매일 배우는 일을 즐깁니다.

프랑스를 기반으로 활동합니다.

"},"Automations":{"TITLE":"자동화로 더 짧은 시간에 더 많은 일을 처리하세요","FREQUENCIES_TITLE":"반복되는 프로젝트에 대한 맞춤 빈도 설정","FREQUENCIES_DESC":"반복 작업을 피하기 위해 특정 시간 기반 트리거로 imports, enrichments 등을 스케줄링하세요.","CONNECT_TITLE":"Zapier, Make, n8n에 연결","CONNECT_DESC":"Zapier, Make, n8n과 통합해 수천 개의 다른 앱과 함께 워크플로우를 강화하세요.","STATUS_TITLE":"상태 열","STATUS_DESC":"히스토리를 되돌아보고 실수를 빠르게 감지하며, 프롬프트를 반복 개선하고, 필요 시 enrichments를 재구성하세요.","CONDITIONAL_TITLE":"조건부 자동화","CONDITIONAL_DESC":"데이터 변경, 상태 업데이트, 또는 사용자 지정 규칙에 따라 특정 작업을 트리거하도록 if/and/or 필터를 활용해 스마트 워크플로우 자동화를 구축하세요."},"common":{"OPEN_DATABLIST_NOW":"지금 Datablist 열기!","OPEN_DATABLIST":"Datablist 열기","TRY_DATABLIST":"Datablist 사용해 보기","BOOK_DEMO":"데모 예약하기","NOSIGNUP":"회원가입 없이 사용 가능","RELATED_GUIDES":"관련 가이드","FAQ":"자주 묻는 질문","DEV_DOC":"개발자 문서","HOVER_VIDEO_PLAY":"재생하려면 동영상 위에 마우스를 올리세요","CLICK_VIDEO_PLAY":"재생하려면 동영상을 클릭하세요"},"ContentCommon":{"RELATED_HOW_TOS":"관련 가이드"},"DedupeClean":{"TITLE":"중복 제거, 데이터 클리닝 및 관리","DEDUPLICATION_TEXT":"AI와 알고리즘을 활용해 단일 열 또는 여러 열을 기준으로, 하나의 파일 내 또는 여러 파일 간 데이터를 비교하여 미세한 변형까지 감지하고 중복을 찾아냅니다.","DEDUPLICATION_SUBTITLE":"중복 탐지 기능으로 다음을 수행할 수 있습니다:","CONSOLIDATE_INFO":"정보 통합","MERGE_DUPLICATES":"중복 항목 병합","DEDUPE_DATASETS":"여러 데이터셋 간 중복 제거","EDIT_GROUPS":"중복 그룹 편집, 태그 추가 등","DATA_CLEANING_TEXT":"몇 번의 클릭만으로 데이터를 추출·변환·클리닝합니다. 제한이 없고, 더 이상 수식은 필요하지 않습니다.","DATA_CLEANING_SUBTITLE":"다음은 수행할 수 있는 작업의 예입니다:","NORMALIZE_DATA":"데이터 구조 정규화","CONVERT_FORMATS":"데이터를 9가지 서로 다른 포맷으로 변환","FIND_REPLACE":"값 찾기 및 바꾸기","EXTRACT_DATA":"수식 없이 데이터 추출","AI_TEXT":"간단한 프롬프트로 새로운 데이터를 생성하고, 기존 정보를 편집하며, 처음부터 시스템을 구축합니다.","AI_SUBTITLE":"AI 어시스턴트는 예를 들어 다음을 수행할 수 있습니다:","GENERATE_IDS":"각 행마다 고유 ID 생성","BUILD_SCORING":"스코어링 시스템 구축","EDIT_SCALE":"대규모로 데이터 편집","STANDARDIZE_UNITS":"단위 표준화 등","MANAGEMENT_TEXT":"고급 필터, 폴더, 검색 바를 통해 원하는 항목을 신속하고 정확하게 찾아 체계적으로 관리할 수 있습니다.","MANAGEMENT_SUBTITLE":"이러한 기능과 더 많은 기능으로 작업을 단순화하고 시간을 절약할 수 있습니다:","SEND_DATA":"시트 간 데이터 전송","SEARCH_BARS":"시트 및 워크스페이스 내 검색 바","TIMESTAMP_COLUMNS":"타임스탬프 열 및 필터","VERSION_HISTORY":"7일간 버전 히스토리","TAB_DEDUPLICATION":"중복 제거","TAB_DATA_CLEANING":"데이터 클리닝","TAB_AI_ASSISTANT":"AI 어시스턴트","TAB_MANAGEMENT":"관리"},"HomePage":{"HERO_LABEL":"AI 기반 스프레드시트","HERO_TITLE":"데이터를 손쉽게 다루세요","HERO_SUBTITLE_1":"모든 리스트와 workflow를 한 곳에서 정제, Enrichment, 자동화, 관리하세요.","HERO_SUBTITLE_2":"Datablist는 사람의 판단과 방향 제시가 보장된 상태에서 AI와 자동화의 성능과 속도를 결합해 활용할 수 있게 하는 AI 스프레드시트입니다."},"Integrations":{"TITLE":"예, 즐겨 사용하는 툴과 연동됩니다","SUBTITLE":"Datablist는 현재 사용 중인 tech stack을 당사의 네이티브 연동에 연결하거나 Open API로 직접 구축하여, 커스터마이징을 위한 무한한 가능성을 제공합니다.","LINK_TEXT":"모든 Enrichment 보기"},"Learn":{"TITLE":"인사이트를 얻고 실행으로 이어지는 콘텐츠로 더 스마트하게 움직이고 더 빠르게 성장하세요","ICP_TITLE":"ICP를 찾을 때 아무도 알려주지 않는 사실","ICP_DESC":"ICP를 찾으면 모든 일이 쉬워집니다. 하지만 정의로 들어가 보면 늘 이야기의 절반만 보게 됩니다.","CSV_DUPLICATES_TITLE":"CSV 중복을 무료로 제거하고 병합하는 방법","CSV_DUPLICATES_DESC":"중복 제거는 복잡할 필요가 없지만, 시중 솔루션은 종종 과하게 복잡합니다. 이 글에서 쉽고 무료로 중복을 제거하는 방법을 알아보세요.","CHATGPT_TITLE":"Excel/CSV 행 단위로 ChatGPT 실행하기 (무료 도구)","CHATGPT_DESC":"Excel 또는 CSV 파일에서 ChatGPT를 실행하세요. Datablist의 무료 플랜으로 비싼 구독 없이 활용하는 방법을 알아보세요(코드 불필요).","AI_PROMPTS_TITLE":"AI Prompts","AI_PROMPTS_DESC":"실무에 바로 쓰이는 prompts를 가장 충실한 라이브러리에서 활용하세요.","GLOSSARY_TITLE":"용어집","GLOSSARY_DESC":"자동화, GTM, AI와 관련된 정의와 약어를 모두 이해하세요.","DOCS_TITLE":"문서","DOCS_DESC":"상세한 안내와 예시로 각 기능을 최대한 활용하는 방법을 알아보세요."},"HomeUseCases":{"SUBTITLE":"스프레드시트를 어떤 목적으로 사용하시나요?","CENTRALIZING_DATA_TITLE":"데이터 중앙화","CENTRALIZING_DATA_DESC":"AirTable, Google Sheets, Clay 등은 나쁘지 않지만, 데이터 보관 공간과 실제 작업 공간을 분리합니다. Datablist는 모든 것을 한곳에 모읍니다. import, export, API 같은 복잡함은 건너뛰세요. 하나의 통합 환경에서 작업하고 저장하며 성장하세요.","LEAD_SCORING_TITLE":"Lead Scoring","LEAD_SCORING_DESC":"Datablist에서는 AI를 사용해 특정 기준에 따라 leads를 평가하는 시스템을 만들 수 있습니다. 전환율이 높은 기회에만 집중하여 더 빠르게 더 많고 더 좋은 고객을 확보하세요.","AI_SCRAPING_TITLE":"AI Scraping","AI_SCRAPING_DESC":"기존 스크래퍼는 특정 형식의 데이터만 처리해 빈 레코드나 부정확한 데이터가 생기기 쉽습니다. Datablist에서는 무엇을 스크래핑할지 AI에 간단히 지시하기만 하면 됩니다. 코드를 배우거나 API를 설정하는 등 복잡한 과정 없이 원하는 항목과 위치만 알려주면 모두 처리합니다(페이지네이션도 지원).","INVENTORY_MANAGEMENT_TITLE":"재고 관리","INVENTORY_MANAGEMENT_DESC":"공급사 카탈로그를 상점 관리 시스템과 연결하고, 데이터를 편집하고, 동적 가격 책정을 만들고, 재고 수준을 자동화하며, 공급망 전반을 효율화하세요. Datablist는 전통적인 관리 시스템의 골치 아픈 문제 없이 최적의 재고를 유지하도록 돕습니다.","FINDING_LEADS_TITLE":"Leads 찾기","FINDING_LEADS_DESC":"콜드 email이든 콜드 콜이든, Datablist를 사용하면 LinkedIn, Wappalyzer, Google Maps, Instagram 등에서 회사 규모, 산업, 지역 등으로 필터링하며 리스트를 만들어 하나의 툴 안에서 최고의 잠재고객을 확보할 수 있습니다.","SCRAPING_ECOM_TITLE":"E-com 스토어 스크래핑","SCRAPING_ECOM_DESC":"코딩 없이 어떤 상점에서든 원하는 제품과 정보를 가져오세요. Shopify로 만든 소규모 상점이든 Amazon 판매자 페이지든, 카테고리 페이지나 검색 URL만 제공하면 몇 분 만에 수천 개의 제품을 스크래핑할 수 있습니다.","DEDUPLICATION_TITLE":"중복 제거","DEDUPLICATION_DESC":"사전 정의 또는 사용자 지정 규칙으로 몇 분 만에 중복 레코드를 찾고 라벨링하거나 병합하고 제거하세요. ChatGPT와 Excel 사이를 몇 시간씩 오가며 시간을 낭비할 필요가 없습니다. Datablist의 중복 제거 및 매칭 도구는 정확도가 매우 높아 약간의 변형이 있는 중복까지도 잡아냅니다.","AUTOMATING_SEARCHES_TITLE":"Google 검색 자동화","AUTOMATING_SEARCHES_DESC":"매시간, 매일, 매주 등 원하는 주기로 반복 검색을 설정하세요. Datablist의 검색 시스템은 AI를 활용해 단순 쿼리 검색을 넘어, 출력 형식까지 지정한 전체 prompt를 입력하고 관련 정보만 필터링할 수 있게 합니다. 필요한 답을 곧바로 받아 정보를 찾는 시간을 절약할 수 있어 자동화 이상의 효과를 얻습니다.","CRM_ENRICHMENT_TITLE":"CRM Enrichment","CRM_ENRICHMENT_DESC":"CRM 데이터를 Datablist로 가져와 AI 리서치 에이전트 또는 50+ Enrichment를 활용해 최신의 관련 연락처 정보, 계정 데이터, 그리고 다른 어떤 데이터베이스에도 없는 고유 데이터 포인트로 데이터를 보강하세요. 그런 다음 파일 export/import의 번거로움 없이 다시 CRM으로 푸시하세요.","PERSONALIZING_OUTREACH_TITLE":"Outreach 개인화","PERSONALIZING_OUTREACH_DESC":"고도 개인화 캠페인, 시그널 기반 캠페인, 에버그린 캠페인 등을 한곳에서 구성하는 데 필요한 모든 것을 제공합니다. 계정 데이터와 검증된 연락처 정보, AI 자동화부터 실행에 필요한 지식까지, Datablist는 leads 생성에 필요한 모든 것을 지원합니다.","SOMETHING_ELSE_TITLE":"다른 것","SOMETHING_ELSE_DESC1":"보통 workflows 자동화에 관해서는 우리보다 사용자분들이 더 창의적입니다.","SOMETHING_ELSE_DESC2":"무엇을 자동화하실 건가요?"},"Testimonials":{"TITLE":"사용자들의 의견","SUBTITLE":"18,000명+의 사용자들은 틀리지 않습니다. 그들의 의견을 확인해 보세요"},"HowTo":{"PAGE_TITLE":"데이터 클렌징, 데이터 인리치먼트, lead generation 튜토리얼","PAGE_DESC":"포괄적인 튜토리얼과 가이드를 통해 데이터 workflow를 자동화하는 방법을 배우세요.","TITLE":"가이드 & 튜토리얼","SUBTITLE":"당사의 가이드를 통해 비즈니스를 성장시키는 방법을 배우세요.","FILTER_BY_CATEGORIES":"카테고리로 필터링","ALL_CATEGORIES":"모든 카테고리","RELATED_GUIDES":"관련 가이드","TABLE_OF_CONTENT":"목차","GUIDES_COUNT":"가이드","LANDING_POPULAR":"인기","LANDING_LATEST_ARTICLES":"최신 아티클","CATEGORY_MORE_ARTICLES":"\"{categoryName}\" 관련 아티클 더보기","LANDING_SEE_ALL":"전체 보기","LANDING_SEE_ALL_ARTICLES_TITLE":"모든 how-to 아티클 보기","LANDING_SEE_ALL_ARTICLES_DESCRIPTION":"전체 아카이브를 둘러보며 모든 가이드, 튜토리얼, workflow를 한곳에서 확인해 보세요.","LANDING_BROWSE_ALL_GUIDES":"모든 how-to 가이드 둘러보기","CATEGORY_BROWSE_ALL_GUIDES":"{categoryName} 가이드 모두 보기","TUTORIALS_BREADCRUMB":"튜토리얼","GUIDES_BREADCRUMB":"가이드","HOME_BREADCRUMB":"홈","MIN_READ":"{minutes}분 소요","AUTHORS_CATEGORY":"작성자","AUTHOR_GUIDES_DESCRIPTION":"{authorName}가 작성한 모든 How-to 가이드와 튜토리얼을 살펴보세요.","CATEGORY_TITLES":{"DATA_CLEANING":"데이터 클렌징","CRM_HYGIENE":"CRM 위생","AI_AUTOMATION":"AI & 자동화","NO_CODE_SCRAPING":"노코드 스크래핑","DATA_ENRICHMENT":"데이터 인리치먼트","SALES_MARKETING":"세일즈 & 마케팅","API":"API"},"CATEGORY_DESCRIPTIONS":{"API":"Build with Datablist APIs using step-by-step guides and complete code examples. Find company websites, clean company names, and look up LinkedIn profiles, then use the results in your applications and automations.","DATA_CLEANING":"마케팅 캠페인이 기대에 미치지 못하는 이유, 세일즈 팀이 적합한 연락처를 찾는 데 어려움을 겪는 이유를 고민해 보신 적이 있나요? 원인은 대개 지저분한 데이터에 있습니다. 품질 낮은 데이터는 막대한 비용을 발생시켜 노력 낭비와 기회 손실로 이어집니다. 우리의 가이드는 이를 통제하는 방법을 제시합니다. 리스트를 클렌징하고 중복을 제거하며 오류를 수정하는 간단한 단계를 단계별로 안내해 드립니다. 우리의 도움으로 혼란스러운 데이터를 강력한 자산으로 전환하는 방법을 배우게 됩니다. 기사에서는 빠른 해결책부터 고급 전략까지 모두 다루어, 기술 전문가가 아니어도 데이터 품질을 개선할 수 있도록 돕습니다. 이제 데이터를 정리하고 운영을 간소화하여 더 나은 비즈니스 성과를 만들어 내실 준비를 하세요.","CRM_HYGIENE":"CRM은 세일즈와 마케팅의 심장입니다. 그러나 오래되었거나 중복되었거나 불완전한 레코드로 가득 차 있다면 발목을 잡습니다. CRM 위생에 관한 우리의 글은 데이터베이스를 최상의 상태로 유지하기 위한 도구와 팁을 제공합니다. 간단한 데이터 입력 프로세스를 설정하고, 정확한 연락처 정보를 유지하며, 모든 레코드의 가치를 보장하는 방법을 배우게 됩니다. 지저분한 CRM으로 이어지는 흔한 함정을 피하는 법을 알려 드려, 팀이 필요한 정보를 더 쉽게 찾고 더 빠르게 딜을 성사시킬 수 있도록 합니다. 깨끗한 CRM은 더 건강한 비즈니스를 의미합니다. 우리의 가이드가 그 길을 함께합니다.","AI_AUTOMATION":"이제 더 똑똑하게 일할 준비가 되셨나요? AI와 자동화는 전 세계 비즈니스의 판도를 바꾸고 있습니다. 우리의 글은 반복 업무를 자동화하고, 데이터를 새로운 방식으로 분석하며, 더 나은 의사결정을 내리기 위해 이 강력한 도구들을 활용하는 방법을 보여 드립니다. 챗봇으로 고객 문의를 처리하는 것부터 데이터 분류를 자동화하는 것까지, AI를 일상 workflow에 통합하는 법을 배우게 됩니다. 복잡한 개념을 간단하고 실행 가능한 단계로 풀어드립니다. 소규모 사업자든 대규모 팀의 일원이든, 우리의 가이드는 AI의 힘을 활용해 생산성을 높이고 새로운 성장 기회를 열도록 도와드립니다. 이제 기술이 귀하를 위해 일하도록 하세요.","NO_CODE_SCRAPING":"과거에는 web scraping이 개발자들의 일이었습니다. 이제는 그렇지 않습니다. 우리의 노코드 스크래핑 가이드를 통해 기술적인 역량 없이도 어떤 웹사이트에서든 필요한 데이터를 수집할 수 있습니다. 연락처 정보부터 제품 상세까지 추출하게 해 주는 간단하고 강력한 도구들을 단계별로 안내합니다. 스크래핑의 기본부터 코드 한 줄 작성하지 않고도 복잡한 사이트를 처리하는 방법까지 다룹니다. 타깃 leads 리스트를 구축하고, 경쟁사 가격을 모니터링하며, 시장 리서치를 순식간에 수집하는 법을 배우세요. 수작업 데이터 수집은 이제 그만. 빠르고 효율적이며 손쉬운 스크래핑을 시작해 보세요.","DATA_ENRICHMENT":"데이터는 가치 있지만, 중요한 정보가 빠져 있을 수 있습니다. 데이터 인리치먼트는 그 빈칸을 채우는 일입니다. 우리의 글은 email 주소 같은 단서 하나를 완전한 프로필로 확장하는 방법을 보여 드립니다. 회사명, 직책, 소셜 미디어 프로필 등 더 많은 정보를 찾는 법을 배우게 됩니다. 이 과정은 outreach를 개인화하고 타게팅을 개선하며 고객에 대한 이해를 더욱 풍부하게 해 줍니다. 우리의 가이드는 데이터를 인리치하는 데 유용한 최적의 툴과 기법을 다루어, 각 레코드의 가치를 높이고 적합한 사람들과 연결되도록 돕습니다.","SALES_MARKETING":"세일즈와 마케팅은 동전의 양면이며, 두 기능이 함께 움직일 때 비즈니스는 성장합니다. 우리의 글에는 팀 간 효과적인 협업을 돕는 전략과 인사이트가 가득합니다. 견고한 Ideal Customer Profile을 구축하는 것부터 매력적인 outreach 캠페인을 만드는 것까지 다룹니다. lead generation, 전환 최적화, 고객 유지에 관한 실용적인 조언을 확인하세요. 우리의 가이드는 실제로 성과를 내는 전술에 집중하여 더 높은 적합도의 leads를 유입시키고 그들을 충성 고객으로 전환하도록 돕습니다. 이제 세일즈와 마케팅을 정렬해 비즈니스 목표를 달성하세요."}},"Enrichments":{"TITLE":"데이터 Enrichment 및 Sourcing","API_DOCUMENTATION":{"LABEL":"API","CTA_LABEL":"API documentation","NEW_TAB":"(opens in a new tab)"},"LISTING_ACTION":"자세히 알아보기","CATALOG_CTA":{"ENRICHMENTS_TITLE":"모든 데이터 보강 기능 살펴보기","SOURCES_TITLE":"모든 데이터 소스 살펴보기","BODY":"무료 Datablist 계정을 만들어 전체 카탈로그를 둘러보세요.","LABEL":"무료 계정 만들기"},"AI_AGENT_TEXT":"경쟁사에겐 몇 시간이 걸리는 검색을 몇 분 만에 자동화하고, 차별화된 인사이트를 확보하세요.","AI_AGENT_SUBTITLE":"예를 들어, 당사의 AI Agent는 다음을 수행할 수 있습니다:","RESEARCH_BUSINESSES":"소규모 비즈니스 리서치","MONITOR_PRICING":"요금 페이지 모니터링","SCRAPE_DATA":"비정형 데이터 web scraping","FIND_REVIEWS":"제품 리뷰 등 다양한 정보 찾기","B2B_TEXT":"50개 이상의 고품질 데이터 소스에 접근하여 다음 고객을 찾아 outreach 하세요.","B2B_SUBTITLE":"정확하고 최신의 정보로 CRM, ATS 등 모든 데이터베이스를 Enrich 하세요.","GET_EMAILS":"email과 전화번호 확보","FIND_ACCOUNT_DATA":"최신 account 데이터 찾기","SCRAPE_PROFILES":"소셜 미디어 프로필 web scraping","TRACK_POSITIONS":"오픈 포지션 추적","SYNC_TEXT":"Excel, Google Sheets, AirTable의 한계를 뛰어넘으세요.","SYNC_SUBTITLE":"Datablist로 다음을 수행할 수 있습니다:","IMPORT_FILES":"최대 200만 행 파일 Import","SYNC_CLOUD":"시트당 10만 행을 클라우드에 Sync","CONNECT_TOOLS":"코드 없이 어떤 외부 툴과도 연결","FILTER_DATA":"Import 전에 데이터를 필터링","TAB_AI_AGENT":"AI Agent","TAB_B2B_DATA":"B2B Data","TAB_IMPORT_SYNC":"Import & Sync","CATALOG":{"HEADING":"Browse enrichments","SEARCH_LABEL":"Search enrichments","SEARCH_PLACEHOLDER":"Search enrichments, inputs, and outputs","CLEAR_SEARCH":"Clear search","CATEGORY_LABEL":"Filter by category","RESULT_COUNT":"{count, plural, =0 {No enrichments found} one {# enrichment} other {# enrichments}}","EMPTY_TITLE":"No matching enrichments","EMPTY_BODY":"Try another search or choose a different category.","RESET_FILTERS":"Reset filters","CATEGORIES":{"all":"All","companies":"Companies","people":"People","translations":"Translations","places":"Places","ai":"AI","urls":"URLs","crm":"CRMs","automation":"Utils"},"MATCH_CONTEXT":{"label":"Matched enrichment title","details":"Matched in details","input":"Matched input","output":"Matched output"}}},"EnrichmentGooglePlacesSearch":{"metadata":{"title":"Google Maps Connector - Find Businesses on Google Maps for Every Row | Datablist","description":"Search Google Maps for every row of a CSV or Excel file and get the business name, address, rating, phone, website and coordinates. 2.5 credits per search."},"tabs":["Overview","How to use"],"hero":{"title":"Google Maps Connector","description":"Search Google Maps for every row of your list and get the business name, address, rating, phone, website and coordinates. Each search costs 2.5 credits.","primary":"Run 200 searches free","guide":"Check Full Guide","note":"No credit card needed","trust":["2.5 Credits per Search","Business Phone and Website","Run 200 Searches Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Google Maps Connector runs a Google Maps search for each row, built from your columns, and returns the matching place: name, address, rating, number of reviews, category, phone, website and coordinates.","cards":[{"title":"What you give","items":["Google Places Query: Built from your columns, for example a company name","Target Country and Language: Optional: where and in which language to search","Number of Results: Optional: 1 to 5 places per search"],"links":["See full input reference"]},{"title":"What you get","items":["Name and Address: The place name and its full address","Rating and Reviews: The rating and the number of ratings","Phone, Website, Coordinates: Contact details and latitude, longitude"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["2.5 Credits per Search: 1,000 searches cost 2,500 credits","500 Free Credits at Signup: Enough to run 200 searches","Billed per Fresh Search: No-match searches cost 2.5 credits; cache hits and failed requests cost 0"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name and City. Output: 5 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Google Maps Connector"],"headers":["Company Name","City","Place Name","Place Address","Place Rating","Place Phone","Place Website"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many searches you want 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":"1,000 credits = $1, so each credit costs a tenth of a cent. Google Maps Connector costs 2.5 credits per search, for a fresh completed search, whether or not a place is found, so 1,000 searches cost 2,500 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. A cached query within the 24-hour cache costs 0 credits, as does a failed provider request. The estimate assumes fresh searches.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Build a search from your columns and get Google Maps business details back in new columns.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with company names, categories or cities. Lead lists, store lists and franchise directories all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Build the search","body":"Type a slash in the query to insert a column, for example the company name followed by the city. Set the target country, the language and how many results you want. Avoid exact street addresses, which Google Places does not support."},{"label":"Step 3","title":"Get business details","body":"Each row returns the place name, address, rating, number of reviews, category, phone, website and coordinates, ready to qualify and contact. Rows with no match stay empty, so you can refine the query and 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":"Yellow Pages Extractor","description":"Extract business details from Yellow Pages including phone number, website URL, business name, and physical address.","imageAlt":"Yellow Pages Extractor"},{"title":"Business Number Extractor","description":"Visit a company website and extract their phone number with the source location.","imageAlt":"Business Number Extractor"},{"title":"Company Name to Website","description":"Search on Google for websites matching a company domain. Then visit the first results to find the one matching.","imageAlt":"Company Name to Website"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"How to scrape Google results from multiple queries at once","imageAlt":"How to scrape Google results from multiple queries at once"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Google Maps Connector with complementary data tools in Datablist.","cards":[{"title":"Location Lookup","description":"Get the city, country and coordinates of a location.","imageAlt":"Location Lookup"},{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company Enrichment"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about queries, results, coverage and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Google Maps Connector","description":"Run Datablist's Google Maps Connector on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Google Places Query","RichText","Search query for Google Places. Type a slash and choose a property to insert row values, for example the company name and the city. Google Places does not support searching by exact street address."],["Target Country","Text","Country to target for the Google Places search. Defaults to US if not set."],["Language","Text","Language of the Google Places results. Defaults to English if not set."],["Number of Results","Text","Number of places returned per search, from 1 to 5."]]},{"title":"Outputs","rows":[["Place Name","Text","Name of place #1."],["Place Address","Text","Address of place #1."],["Place Rating","Number","Rating of place #1."],["Place Rating Count","Number","Number of ratings of place #1."],["Place Category","Text","Category of place #1."],["Place Phone","Phone","Phone number of place #1."],["Place Website","Url","Website of place #1."],["Place Latitude","Number","Latitude of place #1."],["Place Longitude","Number","Longitude of place #1."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"},{"title":"How to scrape Google results from multiple queries at once","imageAlt":"How to scrape Google results from multiple queries at once"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]}},"corner":{"title":"Try it for Free","body":"Find business details on Google Maps for every row. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Google Maps Connector"},"EnrichmentLocationLookup":{"metadata":{"title":"Location Lookup - Get City, Country and Coordinates From Addresses in Bulk | Datablist","description":"Turn addresses and location text in a CSV or Excel file into city, country, country code, latitude and longitude, in bulk. 0.05 credits per location."},"tabs":["Overview","How to use"],"hero":{"title":"Location Lookup","description":"Turn addresses, cities and country names into a clean city, country, country code and coordinates. 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A location can be a full address, a city with or without its country, a country, or a country flag emoji.","cards":[{"title":"What you give","items":["Location: An address, a city, a country or a flag emoji","Messy Formats: Free text with a location inside works","No Settings: Map the column and run it"],"links":["See full input reference"]},{"title":"What you get","items":["City and Country: The city and the country, when available","Country Code: The ISO 3166-1 alpha-2 code, for example gb","Latitude and Longitude: Coordinates for maps and distance filters"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.05 Credits per Location: 10,000 locations cost 500 credits","500 Free Credits at Signup: Enough to look up 10,000 locations","Billed per Row Processed: Each location costs the same"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Location. 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Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a location column and get structured place data back in new columns.","steps":[{"label":"Step 1","title":"Import your locations","body":"Upload a CSV or Excel file with addresses, cities or countries. LinkedIn locations, CRM address fields and form answers all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Look up each location","body":"Datablist reads each value, finds the city and country it refers to and returns the ISO country code and coordinates when available. Flag emojis and country names work as well as full addresses."},{"label":"Step 3","title":"Filter and segment by place","body":"Use the new City, Country and Country Code columns to split lists by market, route leads by region or plot them on a map. Latitude and longitude are number columns you can export to a map. Values like Greater Toronto Area are read too."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
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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 extract the City and Country from a list of addresses","imageAlt":"How to extract the City and Country from a list of addresses"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How To Find Businesses on Google Maps in Reverse","imageAlt":"How To Find Businesses on Google Maps in Reverse"}]}},"corner":{"title":"Try it for Free","body":"Get the city, country and coordinates of every location in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Location Lookup"},"EnrichmentWebsiteToPDF":{"metadata":{"title":"Website to PDF Tool - Generate PDF Files From a List of URLs in Bulk | Datablist","description":"Turn every URL in a CSV or Excel file into a PDF file, in bulk, with a download link per row. 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You get a download link per row, valid for 7 days by default.","cards":[{"title":"What you give","items":["Source URL: One URL per row","Orientation: Optional: Portrait (default) or Landscape","Extra CSS: Optional: styles applied before printing"],"links":["See full input reference"]},{"title":"What you get","items":["PDF Download Link: One link per URL, in a new column","Link Validity: 7 days by default, or 30 days","Your Original List: Stays unchanged next to the links"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["30 Credits per URL: 100 URLs cost 3,000 credits","500 Free Credits at Signup: Enough to convert 16 pages","Billed per Successful Conversion: Failed and invalid URLs cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Source URL. Output: Result.","groups":["Your data","Added by Website to PDF Tool"],"headers":["Source URL","Result"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to convert and we'll show you the cheapest way to run them.","unitsLabel":"URLs to convert","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Website to PDF Tool costs 30 credits per URL converted, so 100 URLs cost 3,000 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Company Summary","description":"Visit a website and generate a summary of what the company does using the metadata (title, description) and the content.","imageAlt":"Write Company Summary"},{"title":"Company Data From Website","description":"Visit a website, search for the About Page, and extract information about the company.","imageAlt":"Company Data From Website"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Website to PDF Tool with complementary data tools in Datablist.","cards":[{"title":"Bulk Scraper","description":"Scrape pages with CSS selectors and regular expressions.","imageAlt":"Bulk Scraper"},{"title":"Fetch Meta Data from URLs","description":"Pull page titles and meta tags from a list of URLs.","imageAlt":"Fetch Meta Data from URLs"},{"title":"Website Status Checker","description":"Find dead, redirected and parked websites.","imageAlt":"Website Status Checker"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about layout, links, cost and large lists.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Website to PDF Tool","description":"Run Datablist's Website to PDF Tool on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Orientation","Text","Generate PDF file in Portrait or Landscape. Default is Portrait."],["Extra CSS","LongText","Add extra CSS styles to the page before generating the PDF."],["Download Link Validity","Text","Datablist gives a download link for each PDF file. The link stays valid for a few days. The default is 7 days."]]},{"title":"Inputs","rows":[["Source URL","Url","URL to generate a PDF from"]]},{"title":"Outputs","rows":[["Result","Url","A link to download the PDF file. The link expires based on the Download Link Validity setting."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How to Scrape Case Studies at Scale with AI (No-Code)","imageAlt":"How to Scrape Case Studies at Scale with AI (No-Code)"}]}},"corner":{"title":"Try it for Free","body":"Turn a list of URLs into PDF files in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Website to PDF Tool"},"EnrichmentBulkScraper":{"metadata":{"title":"Bulk Scraper - Scrape URLs With CSS Selectors and Regular Expressions | Datablist","description":"Scrape a list of URLs from a CSV or Excel file with CSS selectors, regular expressions or JSONPath, in bulk. 0.10 credits per page, proxy option for protected pages."},"tabs":["Overview","How to use"],"hero":{"title":"Bulk Scraper","description":"Scrape the exact text you need from every URL in your list with CSS selectors or regular expressions. Each page costs 0.10 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.10 Credits per Page","Proxy for Protected Pages","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Bulk Scraper visits each URL and extracts the text that matches your CSS selectors, your regular expressions or a JSON object inside the HTML. Each selector creates its own output column, and a proxy option helps with protected pages.","cards":[{"title":"What you give","items":["Url to parse: One URL per row","CSS Selectors: One or more selectors, each with its own column name","Regex or JSONPath: Optional: extract with patterns or from JSON"],"links":["See full input reference"]},{"title":"What you get","items":["One Column per Selector: The text found for each selector","Status per Selector: success, empty_text or not_found","Run Status: Review rows that could not be scraped"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 pages cost 1,000 credits","0.50 Credits With Proxy: Only when the proxy is used","0.05 Credits When Cached: Pages fetched in the last 7 days"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Url to parse. Output: Page Heading and Status for Page Heading.","groups":["Your data","Added by Bulk Scraper"],"headers":["Url to parse","Page Heading","Status for Page Heading"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Bulk Scraper costs 0.10 credits per page with basic scraping, so 10,000 pages cost 1,000 credits. The estimate assumes basic scraping for every page: a scrape with the proxy costs 0.50 credits and a page already in the 7-day cache costs 0.05 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. Render HTML uses a proxy and costs 2 credits per fresh rendered page; it is not included in the basic-scraping estimate.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a list of URLs, describe what to extract and get it back in new columns.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with the pages to scrape. Product pages, job listings, directory entries and profile pages all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Describe what to extract","body":"Add a CSS selector for each piece of text you want, and name the column it fills. Use regular expressions or a JSON object in the HTML when selectors are not enough. Ready-made templates cover job listings, video links and alternate languages."},{"label":"Step 3","title":"Get one column per field","body":"Each selector fills its own column, with a status that tells you if the text was found. Switch on the proxy for protected pages and rerun the failed rows. Failed rows keep their status, so you can fix a selector and run them again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Scrape WTTJ Job Listings","description":"Extract job offer and company data from WelcomeToTheJungle job listing pages.","imageAlt":"Scrape WTTJ Job Listings"},{"title":"Extract Video Links","description":"Parse webpage to find video links from Youtube, Vimeo, Dailymotion, etc. and videos using HTML5 tag video.","imageAlt":"Extract Video Links"},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract the alternate languages of a page.","imageAlt":"Extract Alternate Languages"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Bulk Scraper with complementary data tools in Datablist.","cards":[{"title":"Smart Scraper","description":"Scrape page text, emails and social links in bulk.","imageAlt":"Smart Scraper"},{"title":"Fetch Meta Data from URLs","description":"Pull page titles and meta tags from a list of URLs.","imageAlt":"Fetch Meta Data from URLs"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. 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The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Proxy when needed","Boolean","Use a proxy to avoid protected pages, bypass rate limit, CAPTCHA, etc. Enrichment Cost is 0.50 credit per scrape with proxy. Disabled by default."],["Render HTML","Boolean","Enable Use Proxy when needed first. Render the page in a headless browser for JavaScript content. A proxy is always used and a fresh rendered scrape costs 2 credits."],["Proxy Policy","Text","Available when Use Proxy when needed is enabled and Render HTML is off. Use proxy on error (default), or always use proxy."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."],["Css Selectors","List","Matches pattern query against HTML tree. Each selector has a CSS Selector, a CSS Selector Content (InnerText by default, HTML or an attribute) and a Name for its output column."],["Extract using Regular Expressions","Boolean","Matches Regular Expressions against HTML code."],["Regular Expressions","List","The regular expressions to match, each with a name for its output column."],["Extract data from a JSON object inside the HTML code.","Boolean","Some webpages have JSON available in their HTML code. Use this setting to define the path to the JSON data, and to define the JSONPaths to extract information."],["Path to the JSON object","Text","Where the JSON object sits in the HTML code."],["JSONPath expressions","List","The JSONPath expressions to extract, each with a name for its output column."]]},{"title":"Inputs","rows":[["Url to parse","Url","The URL of the page to scrape."]]},{"title":"Outputs","rows":[["Scraped Text #X","LongText","Text found in matching CSS nodes for the selector. The column takes the name you give the selector."],["Status for each selector","Text","One of the following: success, empty_text, not_found"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]}},"corner":{"title":"Try it for Free","body":"Scrape any field from a list of URLs with CSS selectors. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Bulk Scraper"},"EnrichmentWebsiteMetaDataFetcher":{"metadata":{"title":"Website Meta Data Fetcher - Get Title, Description and Canonical From URLs | Datablist","description":"Get the meta title, description, keywords and canonical tag of every URL in a CSV or Excel file, and check if the site is online. 0.20 credits per URL."},"tabs":["Overview","How to use"],"hero":{"title":"Website Meta Data Fetcher","description":"Get the title, description, keywords and canonical tag of every URL in your list, and see which sites are online. Each URL costs 0.20 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.20 Credits per URL","Title and Meta Description","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Website Meta Data Fetcher visits each URL and returns the content of its title, description, keywords and canonical meta tags, plus whether the website is reachable. A proxy option helps with protected pages.","cards":[{"title":"What you give","items":["Website URL: One URL or domain per row","Use Proxy when needed: Optional: for protected or rate-limited pages","Disable cached data: Optional: force a fresh fetch"],"links":["See full input reference"]},{"title":"What you get","items":["Title and Description: The content of the title and description tags","Keywords and Canonical: The keywords tag and the canonical URL","Website online?: Whether the website is reachable"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.20 Credits per URL: 10,000 URLs cost 2,000 credits","0.60 Credits With Proxy: Only when the proxy is used","0.05 Credits When Cached: Pages fetched in the last 7 days"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Website URL. Output: Website Title, Website Description, Website Canonical tag and Website online?.","groups":["Your data","Added by Website Meta Data Fetcher"],"headers":["Website URL","Website Title","Website Description","Website Canonical tag","Website online?"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many URLs you want to check and we'll show you the cheapest way to run them.","unitsLabel":"URLs to check","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Website Meta Data Fetcher costs 0.20 credits per URL with basic scraping, so 10,000 URLs cost 2,000 credits. The estimate assumes basic scraping for every URL: a scrape with the proxy costs 0.60 credits and a page already in the 7-day cache costs 0.05 credits. Plan credits renew every month and reset if unused. 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Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Fetch each page","body":"Datablist visits each URL and reads its meta tags. Switch on the proxy for protected pages. Pages fetched in the last 7 days come from the cache at a lower cost. You only pay the proxy price on the pages that need it."},{"label":"Step 3","title":"Use the results","body":"Each row returns the title, description, keywords and canonical tag, and whether the site is online, so you can qualify leads or audit pages in bulk. Dead or unreachable sites are easy to filter with the online column."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Company Summary","description":"Visit a website and generate a summary of what the company does using the metadata (title, description) and the content.","imageAlt":"Write Company Summary"},{"title":"B2B or B2C Website","description":"Classify a website as B2B or B2C by identifying its primary audience and purpose.","imageAlt":"B2B or B2C Website"},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract the alternate languages of a page.","imageAlt":"Extract Alternate Languages"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Website Meta Data Fetcher with complementary data tools in Datablist.","cards":[{"title":"Website Status Checker","description":"Find dead, redirected and parked websites.","imageAlt":"Website Status Checker"},{"title":"Bulk Scraper","description":"Scrape pages with CSS selectors and regular expressions.","imageAlt":"Bulk Scraper"},{"title":"Identify Technologies on Websites","description":"Find the technology stack of any website.","imageAlt":"Identify Technologies on Websites"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, caching and dead websites.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Website Meta Data Fetcher","description":"Run Datablist's Website Meta Data Fetcher on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Proxy when needed","Boolean","Use a proxy to avoid protected pages, bypass rate limit, CAPTCHA, etc. Enrichment Cost is 0.60 credit per scrape with proxy. Disabled by default."],["Proxy Policy","Text","When to enable proxy? Default: Proxy enabled on scraping error."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."]]},{"title":"Inputs","rows":[["Website Url","Text","The website url to fetch meta information"]]},{"title":"Outputs","rows":[["Website Title","Text","The page title, with metadata fallback when available."],["Website Description","Text","Content of the Description Meta tag"],["Website Keywords","Text","Content of the Keywords Meta tag"],["Website Canonical tag","Text","The canonical URL of the page."],["Website online?","Boolean","Is the website currently reachable"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"}]}},"corner":{"title":"Try it for Free","body":"Get the title, description and canonical tag of every URL in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Website Meta Data Fetcher"},"EnrichmentFreeEmailValidation":{"metadata":{"title":"Free Email Validation Tool - Check Email Syntax, Disposable Domains and MX Records | Datablist","description":"Validate email addresses in a CSV or Excel file for free: syntax, disposable domains and MX records, plus business email and email provider detection."},"tabs":["Overview","How to use"],"hero":{"title":"Free Email Validation Tool","description":"Check every email address in your list for valid syntax, disposable domains and working MX records. Free on every plan.","primary":"Always free","guide":"Check Full Guide","note":"No credit card needed","trust":["Always Free","Disposable and MX Checks","Business Email Detection"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Free Email Validation Tool checks each address for valid syntax, flags disposable (temporary) email domains and looks up the domain's MX records. It also tells you if the address is a business email and which provider hosts it. It does not ping the mailbox.","cards":[{"title":"What you give","items":["Email: One email address per row","MX Check: On by default, can be switched off","Nothing Else: Map the column and run it"],"links":["See full input reference"]},{"title":"What you get","items":["Valid Email: The enabled validation checks passed","Error Status: Why an address is invalid","Business Email and Provider: Business or generic domain, and the MX provider"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Always Free: No credits used","Any Plan: Works on the free plan","Large Lists: No per-email charge; your plan’s import limits still apply"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Email. Output: Valid Email, Error status, Business Email, Domain and MX Provider.","groups":["Your data","Added by Free Email Validation Tool"],"headers":["Email","Valid Email","Error status","Business Email","Domain","MX Provider"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run on every plan","description":"Free Email Validation Tool does not use Datablist credits, so there is no cost to estimate.","planRows":[["Datablist credits","None. This enrichment is always free."],["Running in the app","Works on every plan, including the free plan."],["Running through the API or MCP","Needs the Growth plan. API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Free Email Validation Tool checks syntax, disposable domains and MX records. It does not ping the mailbox. For mailbox-level checks, use Waterfall Email Verifier, which uses credits."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of email addresses and get validation results back in new columns.","steps":[{"label":"Step 1","title":"Import your email list","body":"Upload a CSV or Excel file with email addresses. Newsletter exports, CRM contacts, event signups and scraped lists all work. There is no credit cost. Your plan’s file-import limits still apply."},{"label":"Step 2","title":"Run the free checks","body":"Datablist checks the syntax, flags disposable email domains and looks up each domain's MX records, the mail servers that accept its email. It does not ping the mailbox, so it stays fast and free."},{"label":"Step 3","title":"Clean your list","body":"Filter out invalid and disposable addresses, keep business emails for outreach, and send risky rows to a mailbox verifier if you need more certainty. Error status tells you why each invalid address failed."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Check if Still at Company","description":"Verify if a prospect is still working at their company by comparing their email domain with the company website.","imageAlt":"Check if Still at Company"},{"title":"Write Email First Line","description":"Use a person's LinkedIn description to write an email's first line.","imageAlt":"Write Email First Line"},{"title":"Clean Company Name","description":"Clean and standardize company names.","imageAlt":"Clean Company Name"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to clean an email list for free","imageAlt":"How to clean an email list for free"},{"title":"How to detect disposable domains in a list of email addresses","imageAlt":"How to detect disposable domains in a list of email addresses"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Free Email Validation Tool with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Verifier","description":"Verify mailboxes across several providers.","imageAlt":"Waterfall Email Verifier"},{"title":"Extract Name from Email Address","description":"Get a person's name from an email address.","imageAlt":"Extract Name from Email Address"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about what is checked, cost and accuracy.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Free Email Validation","description":"Run Datablist's Free Email Validation on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Disable MX-records analysis","Boolean","Disable domain DNS/MX analysis to run syntax and disposable-domain checks only. MX Provider stays empty when this setting is enabled."]]},{"title":"Inputs","rows":[["Email","Text","The email address to validate."]]},{"title":"Outputs","rows":[["Valid Email","Boolean","Checked when syntax and disposable-domain checks pass, and when the enabled DNS/MX checks pass. This does not verify mailbox existence."],["Error status","Text","The reason when the email address is invalid"],["Business Email","Boolean","Return True if the domain is not from a generic email provider (gmail, yahoo, etc.)"],["Domain","Text","Return the domain part of the email. After the @. Example: gmail.com"],["MX Provider","Text","Return the email provider. Examples: google, microsoft, ovh, etc."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to clean an email list for free","imageAlt":"How to clean an email list for free"},{"title":"How to detect disposable domains in a list of email addresses","imageAlt":"How to detect disposable domains in a list of email addresses"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]}},"corner":{"title":"Try it for Free","body":"Validate email syntax, disposable domains and MX records for free. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Free Email Validation Tool"},"EnrichmentEntityNameExtraction":{"metadata":{"title":"Entity Name Extraction - Extract People, Company and Location Names From Text | Datablist","description":"Extract person names, company names and locations from text in a CSV or Excel file, in bulk. Machine learning model trained in 10 languages. 0.05 credits per text."},"tabs":["Overview","How to use"],"hero":{"title":"Entity Name Extraction","description":"Pull person, company and location names out of free text in your spreadsheet. Each text costs 0.05 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.05 Credits per Text","Finds People and Company Names","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Entity Name Extraction reads a text column and returns the person names, company names and locations it finds. It uses a machine learning model intended for English text.","cards":[{"title":"What you give","items":["Text to Extract From: Emails, notes, bios, posts or page text","Delimiter: Optional: how several names are joined","Extraction Mode: Optional: Strict, Balanced or Recall"],"links":["See full input reference"]},{"title":"What you get","items":["Person Name: People mentioned in the text","Organization Name: Companies and organizations mentioned","Location: Cities, countries and places mentioned"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.05 Credits per Text: 10,000 texts cost 500 credits","500 Free Credits at Signup: Enough to process 10,000 texts","Billed per Row Processed: A text with several names costs the same"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Text. Output: Person Name, Organization Name and Location.","groups":["Your data","Added by Entity Name Extraction"],"headers":["Text","Person Name","Organization Name","Location"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many texts you want to process and we'll show you the cheapest way to run them.","unitsLabel":"Texts to process","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Entity Name Extraction costs 0.05 credits per text, so 10,000 texts cost 500 credits and 100,000 texts cost 5,000 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a text column and get the names it mentions in new columns.","steps":[{"label":"Step 1","title":"Import your texts","body":"Upload a CSV or Excel file with the text to read. Email bodies, CRM notes, social posts, bios and scraped pages all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Choose how names are returned","body":"Pick the delimiter used when a text mentions several names, and the extraction mode: Strict for fewer false positives, Balanced by default, or Recall to catch more names. Both settings are optional, so you can run it straight away."},{"label":"Step 3","title":"Get names in separate columns","body":"Each row returns the person names, organization names and locations found in its text, in their own columns, ready to filter or enrich. Empty cells mean nothing was found, so you can filter 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":"Extract Names From a Text","description":"Extract all proper nouns from a given text. The extracted names are returned as a comma-separated list.","imageAlt":"Extract Names From a Text"},{"title":"Split Address Into Parts","description":"Parse a full postal address into structured address parts such as street, city, state, postal code, and country.","imageAlt":"Split Address Into Parts"},{"title":"Get Country From Location","description":"Extract country name and ISO2 code from a given location (city, region, etc.).","imageAlt":"Get Country From Location"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Entity Name Extraction with complementary data tools in Datablist.","cards":[{"title":"Name Parser","description":"Split full names into parts, with gender and country.","imageAlt":"Name Parser"},{"title":"Ask ChatGPT/OpenAI","description":"Run any ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Language Detection","description":"Detect the language of each row.","imageAlt":"Language Detection"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about accuracy, languages, cost and multiple names.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Entity Name Extraction","description":"Run Datablist's Entity Name Extraction on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Delimiter when multiple names","Text","When several names are found, Datablist joins them with this delimiter. Default is comma."],["Extraction Mode","Text","Choose Strict for fewer false positives, Balanced for default extraction, or Recall to catch more names with more noise."]]},{"title":"Inputs","rows":[["Extract entities from","LongText","The text to extract names from."]]},{"title":"Outputs","rows":[["Organization Name","Text","Company or organization names found in the text."],["Person Name","Text","Person names found in the text."],["Location","Text","Locations found in the text."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]}},"corner":{"title":"Try it for Free","body":"Extract people, companies and places from text in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Entity Name Extraction"},"EnrichmentLanguageDetection":{"metadata":{"title":"Language Detection Tool - Detect the Language of Excel or CSV Rows in Bulk | Datablist","description":"Detect the language of each row in a CSV or Excel file: language name, ISO 639 code and confidence. 0.05 credits per text, no LLM needed."},"tabs":["Overview","How to use"],"hero":{"title":"Language Detection Tool","description":"Find the language of every text in your spreadsheet, with its ISO code and a confidence level. Each text costs 0.05 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.05 Credits per Text","ISO Code and Confidence Level","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Language Detection Tool reads a text column and returns the language name, the ISO 639 code and a confidence level for each row. It does not use an LLM, so it is cheaper and faster than sending each row to an AI model.","cards":[{"title":"What you give","items":["Text to Analyze: One text column: messages, reviews, notes or page text","Any Length: Short messages and long descriptions both work","No Settings: Map the column and run it"],"links":["See full input reference"]},{"title":"What you get","items":["Language Name: English, French, Spanish, German and more","Language Code: The ISO 639 code, for example en or fr","Language Confidence: High, Medium, Low or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.05 Credits per Text: 10,000 texts cost 500 credits","500 Free Credits at Signup: Enough to analyze 10,000 texts","Billed per Successful Detection: Empty inputs and no-result rows cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Text. Output: Language Name, Language Code and Language Confidence.","groups":["Your data","Added by Language Detection Tool"],"headers":["Text","Language Name","Language Code","Language Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many texts you want to analyze and we'll show you the cheapest way to run them.","unitsLabel":"Texts to analyze","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Language Detection Tool costs 0.05 credits per text, so 10,000 texts cost 500 credits and 100,000 texts cost 5,000 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a text column and get its language back in new columns.","steps":[{"label":"Step 1","title":"Import your texts","body":"Upload a CSV or Excel file with the text to analyze. Customer messages, reviews, support tickets, survey answers and scraped page text all work. Datablist opens large files that spreadsheets struggle with."},{"label":"Step 2","title":"Detect the language","body":"Datablist reads each text and returns the language name, the ISO 639 code and a confidence level. No AI prompt is needed, so large lists run fast and cheap. The confidence level shows how clear each match is."},{"label":"Step 3","title":"Filter and route your rows","body":"Use the confidence column to keep High and Medium results and review the rest. Split rows by language before translation, routing or analysis. Low-confidence rows are easy to filter for a manual check."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Analyze Customer Reviews","description":"Summarize and classify customer reviews, recommend a grounded next action, and flag reviews that need manual review.","imageAlt":"Analyze Customer Reviews"},{"title":"Correct Text Grammar","description":"Correct grammatical errors in a given text.","imageAlt":"Correct Text Grammar"},{"title":"Correct Text Capitalization","description":"Ensure proper capitalization (first letter of each sentence and proper nouns) for a given text.","imageAlt":"Correct Text Capitalization"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"},{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Language Detection Tool with complementary data tools in Datablist.","cards":[{"title":"Google Translate","description":"Translate a column with Google Translate.","imageAlt":"Google Translate"},{"title":"DeepL Translate","description":"Translate a column with DeepL, formality and context options.","imageAlt":"DeepL Translate"},{"title":"Entity Name Extraction","description":"Extract names from free text.","imageAlt":"Entity Name Extraction"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about accuracy, cost, long texts and mixed languages.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Language Detection Tool","description":"Run Datablist's Language Detection Tool on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Text to analyze","Text","The text to detect the language of."]]},{"title":"Outputs","rows":[["Language Name","Text","Language detected for the text (ex: English). Empty if the algorithm can't detect the language."],["Language Code","Text","Code ISO 639 (alpha-2)) for the detected language (ex: en). Empty if the algorithm can't detect the language."],["Language Confidence","Text","Confidence level for the detected language: High, Medium, Low, or Very Low."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Detect the Language of Each Row in a Dataset","imageAlt":"How to Detect the Language of Each Row in a Dataset"},{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]}},"corner":{"title":"Try it for Free","body":"Detect the language of every row in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Language Detection Tool"},"EnrichmentChatGPTTranslation":{"metadata":{"title":"ChatGPT Powered Translation Tool - Translate a CSV or Excel Column in Bulk | Datablist","description":"Translate a column of text in a CSV or Excel file with ChatGPT, in bulk. Choose the GPT model and add your own instructions. From 1 credit per 1,000 characters."},"tabs":["Overview","How to use"],"hero":{"title":"ChatGPT Powered Translation Tool","description":"Translate a spreadsheet column with ChatGPT, with your own instructions and the model of your choice. From 1 credit per 1,000 characters with GPT-4o mini.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["1 Credit per 1,000 Characters","Choose Your GPT Model","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"ChatGPT Powered Translation Tool translates one column of your spreadsheet into the language you choose and writes the result to a new column. You can pick the GPT model and add instructions, for example to keep HTML, XML or JSON structure.","cards":[{"title":"What you give","items":["Text to Translate: One column of text, one text per row","Target Language: Required: the language to translate to","Model and Instructions: Optional: GPT model and extra instructions"],"links":["See full input reference"]},{"title":"What you get","items":["Translated Text: The translation, written to a new column","Your Original Column: Stays unchanged next to the translation","Structured Text: Choose HTML/XML or JSON instructions and check the translated structure"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["About 1 Credit per 1,000 Characters: Estimated with GPT-4o mini, the default model","Larger Models Cost More: Up to about 50 credits per 1,000 characters","Billed by Token Usage: Input and output tokens determine the final cost"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Text to translate. Output: Translated Text.","groups":["Your data","Added by ChatGPT Powered Translation Tool"],"headers":["Text to translate","Translated Text"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many characters you want to translate and we'll show you the cheapest way to run them.","unitsLabel":"Characters to translate (in thousands)","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. ChatGPT Powered Translation Tool costs about 1 credit per 1,000 characters with GPT-4o mini, the default model, so 1,000,000 characters cost about 1,000 credits. The estimate assumes GPT-4o mini; larger models cost up to about 50 credits per 1,000 characters. Token use varies with the text, so the cost is approximate. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of text and get the ChatGPT translation back in a new column.","steps":[{"label":"Step 1","title":"Import your spreadsheet","body":"Upload a CSV or Excel file with the text you want to translate. Product catalogs, reviews, support replies and website content all work. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Correct Text Grammar","description":"Correct grammatical errors in a given text.","imageAlt":"Correct Text Grammar"},{"title":"Correct Text Capitalization","description":"Ensure proper capitalization (first letter of each sentence and proper nouns) for a given text.","imageAlt":"Correct Text Capitalization"},{"title":"Analyze Customer Reviews","description":"Summarize and classify customer reviews, recommend a grounded next action, and flag reviews that need manual review.","imageAlt":"Analyze Customer Reviews"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair ChatGPT Powered Translation Tool with complementary data tools in Datablist.","cards":[{"title":"Google Translate","description":"Translate a column with Google Translate.","imageAlt":"Google Translate"},{"title":"DeepL Translate","description":"Translate a column with DeepL, formality and context options.","imageAlt":"DeepL Translate"},{"title":"Ask ChatGPT/OpenAI","description":"Run any ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about models, cost, instructions and structured text.","items":[]},"guide":{"hero":{"title":"How to use Datablist's ChatGPT Powered Translation Tool","description":"Run Datablist's ChatGPT Powered Translation Tool on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Target Language","Text","The language that you are translating to"],["Source Language","Text","If not specified, will be auto detected"],["Advanced Settings","Boolean","Configure model and extra instructions."],["GPT Model","Text","Choose a model under Advanced Settings. GPT-4o mini is the default. Character-based estimates range from about 0.9 to 50 credits per 1,000 characters; actual cost depends on token usage."],["Extra Instructions","Text","Under Advanced Settings, choose Keep XML or HTML structure, Keep JSON structure, or Custom Instructions."],["Custom Instructions","LongText","Required when Advanced Settings is enabled and Extra Instructions is Custom Instructions. Add tone, glossary, placeholder or formatting rules."]]},{"title":"Inputs","rows":[["Text to translate","Text","The text to translate."]]},{"title":"Outputs","rows":[["Translated Text","LongText","Translation returned by ChatGPT"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Translate an E-commerce Product Catalog with ChatGPT","imageAlt":"How to Translate an E-commerce Product Catalog with ChatGPT"},{"title":"How to translate CSV files online for free","imageAlt":"How to translate CSV files online for free"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]}},"corner":{"title":"Try it for Free","body":"Translate a spreadsheet column with ChatGPT in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"ChatGPT Powered Translation Tool"},"EnrichmentPhoneNumberExtractor":{"metadata":{"title":"Phone Number Extractor - Extract Phone Numbers, Type and Carrier From Text | Datablist","description":"Extract phone numbers from text in a CSV or Excel file in bulk, with country, number type and carrier. 0.01 credits per row."},"tabs":["Overview","How to use"],"hero":{"title":"Phone Number Extractor","description":"Turn a column of text into clean international phone numbers, with country, type and carrier. Each row costs 0.01 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.01 Credits per Row","Type and Carrier Detection","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Phone Number Extractor scans each row of text, finds the phone numbers in it and returns them in international format. It can also return the country, the number type and the carrier name.","cards":[{"title":"What you give","items":["Source Text: A text column, one text per row","Local Phone Countries: Optional: countries for numbers without a + code","Country per Row: Optional: a Country column that overrides the setting"],"links":["See full input reference"]},{"title":"What you get","items":["Extracted Numbers: Phone numbers in international format","Countries and Types: Optional: country name and number type for each number","Carrier Names: Optional: the carrier when the metadata has one"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.01 Credits per Row: 10,000 rows cost 100 credits","500 Free Credits at Signup: Enough to scan 50,000 rows","Billed per Row: A row with several numbers costs the same"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Source Text. Output: Extracted Numbers, Extracted Countries, Extracted Number Types and Extracted Carriers.","groups":["Your data","Added by Phone Number Extractor"],"headers":["Source Text","Extracted Numbers","Extracted Countries","Extracted Number Types","Extracted Carriers"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many rows you want to scan and we'll show you the cheapest way to run them.","unitsLabel":"Rows to scan","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Phone Number Extractor costs 0.01 credits per row, so 10,000 rows cost 100 credits and 1,000,000 rows cost 10,000 credits. Plan credits renew every month and reset if unused. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Names From a Text","description":"Extract all proper nouns from a given text. The extracted names are returned as a comma-separated list.","imageAlt":"Extract Names From a Text"},{"title":"Get Country From Location","description":"Extract country name and ISO2 code from a given location (city, region, etc.).","imageAlt":"Get Country From Location"},{"title":"Split Address Into Parts","description":"Parse a full postal address into structured address parts such as street, city, state, postal code, and country.","imageAlt":"Split Address Into Parts"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Phone Number Extractor with complementary data tools in Datablist.","cards":[{"title":"Phone Number Cleaner","description":"Standardize phone numbers to international format.","imageAlt":"Phone Number Cleaner"},{"title":"Waterfall Phone Finder","description":"Find a phone number from a LinkedIn profile.","imageAlt":"Waterfall Phone Finder"},{"title":"Smart Scraper","description":"Scrape texts, emails and phone numbers from webpages.","imageAlt":"Smart Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about local numbers, number types, carriers and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Phone Number Extractor","description":"Run Datablist's Phone Number Extractor on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Local Phone Countries","Text","The countries setting helps identify phone numbers not written in international format (without +XX). For example, if you add France as a country, a number like 06 56 56 67 24 will be converted to the international format: +33 6 56 56 67 24. Without this setting, only numbers already in international format will be processed."],["Advanced Settings","Boolean","Define country per item, etc."],["Define country per item","Boolean","Turn on this setting to allow overwriting the country for each item using a Country Input."],["Add country names","Boolean","Return the country name for each phone number based on their country code (USA for +1, France for +33, etc.)."],["Add Phone Number type","Boolean","Determine the type of each phone number, such as Mobile, Fixed Line, VoIP, and more."],["Add carrier names","Boolean","Return the carrier name for each phone number when available."]]},{"title":"Inputs","rows":[["Source Text","Text","Text to search for phone numbers."],["Country","Text","Override the default 'Local Phone countries' for this row. Use country ISO 3166-1 alpha-2/alpha-3 codes. Or country name. Ex: FR, FRA, or France."]]},{"title":"Outputs","rows":[["Extracted Numbers","Text","Phones numbers. Comma-separated if several numbers are found."],["Extracted Countries","Text","Country for each phone number. Comma-separated when multiple numbers."],["Extracted Number Types","Text","Number type for each phone number (Fixed, Mobile, etc.). Comma-separated when multiple numbers."],["Extracted Carriers","Text","Carrier name for each phone number when available. Comma-separated when multiple numbers."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]}},"corner":{"title":"Try it for Free","body":"Extract phone numbers, countries and types from text in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Phone Number Extractor"},"EnrichmentPhoneNumberCleaner":{"metadata":{"title":"Phone Number Cleaner - Standardize Phone Numbers to International Format | Datablist","description":"Clean and standardize phone numbers in a CSV or Excel file in bulk. Fix messy formats, add the international code and detect the line type. 0.01 credits per number."},"tabs":["Overview","How to use"],"hero":{"title":"Phone Number Cleaner","description":"Turn messy phone numbers into clean international numbers, with country and line type. Each number costs 0.01 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.01 Credits per Number","Local → International Format","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Phone Number Cleaner standardizes phone numbers to the international format. It fixes messy formats, adds the country code when you set a country, and can return the country and the line type.","cards":[{"title":"What you give","items":["Phone Number: One number per row, local or international","Local Phone Countries: Optional: countries for numbers without a + code","Country per Row: Optional: a Country column that overrides the setting"],"links":["See full input reference"]},{"title":"What you get","items":["Clean Phone Number: The number in international format, empty when it cannot be cleaned","Phone Number Country: Optional: the country detected from the dial code","Phone Number Type: Optional: Mobile, Fixed Line or VoIP"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.01 Credits per Number: 10,000 numbers cost 100 credits","500 Free Credits at Signup: Enough to clean 50,000 numbers","2,000,000 Numbers for $20: A $20 credit pack gives 20,000 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Phone Number. Output: Clean Phone Number, Phone Number Country and Phone Number Type.","groups":["Your data","Added by Phone Number Cleaner"],"headers":["Phone Number","Clean Phone Number","Phone Number Country","Phone Number Type"],"caption":"Illustrative input and output. The 00-prefix example uses a GB country setting.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many phone numbers you want to clean and we'll show you the cheapest way to run them.","unitsLabel":"Phone numbers to clean","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Phone Number Cleaner costs 0.01 credits per number, so 10,000 numbers cost 100 credits and 1,000,000 numbers cost 10,000 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of phone numbers and get clean international numbers back.","steps":[{"label":"Step 1","title":"Import your phone numbers","body":"Upload a CSV or Excel file with one phone number per row. Lists from CRMs, web scraping and sign-up forms usually mix local numbers, international numbers and stray formatting."},{"label":"Step 2","title":"Set the country","body":"Add the country of your contacts in Local Phone Countries so local numbers get their international code, for example 06 12 34 56 78 becomes +33 6 12 34 56 78. Switch on Advanced Settings to add the country name and the number type."},{"label":"Step 3","title":"Get one standard format","body":"Each row returns the number in international format, such as +1 415-555-2671, plus the country and type when you ask for them. Numbers that cannot be cleaned come back empty, so you can filter them out."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Normalize Postal Addresses","description":"Standardize postal addresses effectively, with a consistent format and no unnecessary information.","imageAlt":"Normalize Postal Addresses"},{"title":"Split Address Into Parts","description":"Parse a full postal address into structured address parts such as street, city, state, postal code, and country.","imageAlt":"Split Address Into Parts"},{"title":"Get Country From Location","description":"Extract country name and ISO2 code from a given location (city, region, etc.).","imageAlt":"Get Country From Location"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Phone Number Cleaner with complementary data tools in Datablist.","cards":[{"title":"Phone Number Extractor","description":"Extract phone numbers, type and carrier from text.","imageAlt":"Phone Number Extractor"},{"title":"Waterfall Phone Finder","description":"Find a phone number from a LinkedIn profile.","imageAlt":"Waterfall Phone Finder"},{"title":"Extract Name from Email Address","description":"Get a first and last name from an email address.","imageAlt":"Extract Name from Email Address"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about formats, local numbers, line types and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Phone Number Cleaner","description":"Run Datablist's Phone Number Cleaner on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Local Phone Countries","Text","The countries setting helps associated phone numbers not written in international format (without +XX) to a country. For example, if you add France as a country, a number like 06 56 56 67 24 will be converted to the international format: +33 6 56 56 67 24. The first country that matches the local phone number is used. Without this setting, only numbers already in international format will be cleaned."],["Advanced Settings","Boolean","Enable per row country and extra outputs."],["Define country per item","Boolean","Allow each row to define its own country using an input column."],["Add country names","Boolean","Return the country name for each phone number based on their country code (USA for +1, France for +33, etc.)."],["Add Phone Number type","Boolean","Determine the type of each phone number, such as Mobile, Fixed Line, VoIP, and more."]]},{"title":"Inputs","rows":[["Phone Number","Text","The phone number to clean. Local or international format."],["Country","Text","Override the default 'Local Phone countries' for this row. Use country ISO 3166-1 alpha-2/alpha-3 codes. Or country name. Ex: FR, FRA, or France."]]},{"title":"Outputs","rows":[["Clean Phone Number","Text","The cleaned phone number in international format. Empty if the number cannot be cleaned."],["Phone Number Country","Text","Country detected from the phone number."],["Phone Number Type","Text","Phone type such as Mobile, Fixed Line, or VoIP."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"}]}},"corner":{"title":"Try it for Free","body":"Clean and standardize phone numbers in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Phone Number Cleaner"},"EnrichmentExtractNameFromEmail":{"metadata":{"title":"Extract Name from Email Address - Get First and Last Names From Emails | Datablist","description":"Extract first and last names from email addresses in a CSV or Excel file in bulk, with confidence levels, country and extraction pattern. 0.05 credits per email."},"tabs":["Overview","How to use"],"hero":{"title":"Extract Name from Email Address","description":"Turn a column of email addresses into first and last names, with a confidence level for each. Each email costs 0.05 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.05 Credits per Email","Confidence Level for Every Name","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Extract Name from Email Address reads each email and returns a first name and a last name. It checks each part against a name database, so it handles first.last, last.first and display-name formats.","cards":[{"title":"What you give","items":["Email: An email address, one per row","Any Common Format: john.smith@, smith.john@, j.smith@ or John Smith <email>","Usernames Work Too: An email handle without the domain is read as well"],"links":["See full input reference"]},{"title":"What you get","items":["First and Last Name: Each one with its own confidence level","Country and Confidence: Where the name is most common, and how much to trust it","Extraction Pattern: The format found, such as {first}.{last}"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.05 Credits per Email: 10,000 emails cost 500 credits","500 Free Credits at Signup: Enough for 10,000 emails","Billed per Item: One credit rate for every email"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Email. Output: 7 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Extract Name from Email Address"],"headers":["Email","First Name","First Name Confidence","Last Name","Last Name Confidence","Country","Country Confidence","Extraction Pattern"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many emails you want to process and we'll show you the cheapest way to run them.","unitsLabel":"Emails to process","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Extract Name from Email Address costs 0.05 credits per item, so 10,000 emails cost 500 credits and 100,000 emails cost 5,000 credits. The estimate counts every email once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of email addresses and get names back in new columns.","steps":[{"label":"Step 1","title":"Import your emails","body":"Upload a CSV or Excel file with one email address per row. Lead lists, exports and scraped files often hold emails without names. Role inboxes such as support@ return no result instead of a made-up name."},{"label":"Step 2","title":"Read the name from the email","body":"Datablist checks each part of the handle against a statistical name database. It does not assume the first part is the first name, so smith.john@ and john.smith@ both return John Smith. It also strips plus tags such as +promo."},{"label":"Step 3","title":"Get names with confidence levels","body":"Each row returns a first name and a last name, each with a High, Medium, Low or Very Low confidence, plus a likely country and the extraction pattern. Rows with no reliable name are marked as no result."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Parse a Name","description":"Given a Name, return the First Name and Last Name.","imageAlt":"Parse a Name"},{"title":"Parse Name and Gender","description":"Given a full name and a geographic location, return the First Name, Last Name and Gender.","imageAlt":"Parse Name and Gender"},{"title":"Normalize First and Last Name","description":"Normalize capitalization and formatting of first and last names without changing their spelling.","imageAlt":"Normalize First and Last Name"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"4 Easy Tactics to Use AI For Cold Email Personalization","imageAlt":"4 Easy Tactics to Use AI For Cold Email Personalization"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Extract Name from Email Address with complementary data tools in Datablist.","cards":[{"title":"Name Parser","description":"Split full names into parts, with gender and country.","imageAlt":"Name Parser"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email or a LinkedIn profile.","imageAlt":"Waterfall People Enrichment"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about accuracy, formats, role emails, country and cost.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Extract Name from Email Address","description":"Run Datablist's Extract Name from Email Address on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Email","Email","Email to extract First Name and Last Name from."]]},{"title":"Outputs","rows":[["First Name","Text","Where to store the First Name, when found"],["First Name Confidence","Text","Confidence level for the extracted first name: High, Medium, Low, or Very Low."],["Last Name","Text","Where to store the Last Name, when found"],["Last Name Confidence","Text","Confidence level for the extracted last name: High, Medium, Low, or Very Low."],["Country","Text","Country where the extracted name is most common."],["Country Confidence","Text","Confidence level for the inferred country: High, Medium, Low, or Very Low."],["Extraction Pattern","Text","Pattern used to extract the name, such as {first}.{last}, {f}.{last}, {last}{first}, or display_name."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"4 Easy Tactics to Use AI For Cold Email Personalization","imageAlt":"4 Easy Tactics to Use AI For Cold Email Personalization"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"Free Online Tool for Data Cleaning","imageAlt":"Free Online Tool for Data Cleaning"}]}},"corner":{"title":"Try it for Free","body":"Extract first and last names from email addresses in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Extract Name from Email Address"},"EnrichmentNameParser":{"metadata":{"title":"Name Parser - Split Full Names Into First Name, Last Name, Gender and Country | Datablist","description":"Parse full names into first name, last name, title, gender and likely country in bulk from a CSV or Excel file. 0.05 credits per name."},"tabs":["Overview","How to use"],"hero":{"title":"Name Parser","description":"Turn a column of full names into first name, last name, title, gender and country columns. Each name costs 0.05 credits.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.05 Credits per Name","Handles Messy Name Formats","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Name Parser splits each full name into its parts and can guess the gender and the country where the name is most common. It cleans messy values first, and skips values that do not look like a person's name.","cards":[{"title":"What you give","items":["Name: A full name, one per row","Messy Formats Welcome: All caps, last name first, titles and name-like emails","Person Names Only: Company names and generic inboxes are rejected"],"links":["See full input reference"]},{"title":"What you get","items":["Name Parts: First name, middle name, last name and title","Gender and Country: Optional: male or female, and the country where the name is most common","Country Confidence: High, Medium, Low or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.05 Credits per Name: 10,000 names cost 500 credits","Billed per Row Checked: A row the parser cannot validate still costs 0.05 credits","Empty Rows Are Free: Empty inputs use no credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Name. Output: 6 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Name Parser"],"headers":["Name","First Name","Middle Name","Last Name","Title","Country","Country Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many names you want to parse and we'll show you the cheapest way to run them.","unitsLabel":"Names to parse","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Name Parser costs 0.05 credits per row it checks, whether or not a reliable name is found. Empty rows cost nothing, so the estimate is the most you would pay. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of names and get structured name fields back.","steps":[{"label":"Step 1","title":"Import your names","body":"Upload a CSV or Excel file with one name per row. The names can be messy: all caps, last name first, with a title, or written as an email address. Keep the original name column so you can review edge cases."},{"label":"Step 2","title":"Pick the fields you need","body":"Map the name column and choose the outputs. Gender and country are computed only when you select them, so map only the columns you need. The parser rejects values that are not person names, such as company names with legal suffixes and generic inboxes like support@."},{"label":"Step 3","title":"Get clean columns back","body":"Each row returns its name parts, plus a country confidence when you map the country. Rows with no reliable name are marked in the run status, so you can filter and review them. The country is a guess based on how common the name is, not a verified location."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"4 Easy Tactics to Use AI For Cold Email Personalization","imageAlt":"4 Easy Tactics to Use AI For Cold Email Personalization"},{"title":"How to clean web-scraping data online","imageAlt":"How to clean web-scraping data online"}]}},"corner":{"title":"Try it for Free","body":"Parse full names into first name, last name, gender and country in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Name Parser"},"EnrichmentDeepLTranslate":{"metadata":{"title":"DeepL Translate - Translate a CSV or Excel Column in Bulk | Datablist","description":"Translate a column of text in a CSV or Excel file with DeepL, in bulk. 31 target languages, 35 credits per 1,000 characters, or use your own DeepL key."},"tabs":["Overview","How to use"],"hero":{"title":"DeepL Translate","description":"Translate a spreadsheet column into 31 languages with DeepL. 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Output: Translated Text.","groups":["Your data","Added by DeepL Translate"],"headers":["Text to translate","Translated Text"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many characters you want to translate and we'll show you the cheapest way to run them.","unitsLabel":"Characters to translate (in thousands)","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. DeepL Translate costs 35 credits per 1,000 characters translated, so 100,000 characters cost 3,500 credits (about $3.50). The estimate counts every character once. With your own DeepL API key, Datablist does not charge translation credits for those rows. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a column of text and get the translation back in a new column.","steps":[{"label":"Step 1","title":"Import your spreadsheet","body":"Upload a CSV or Excel file with the text you want to translate. 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What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
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Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Start from a domain or a LinkedIn URL and end with a complete company record.","steps":[{"label":"Step 1","title":"Upload your companies","body":"Import a CSV or Excel file with one company per row. A domain, a website URL or a LinkedIn company URL works as the identifier."},{"label":"Step 2","title":"Choose the input and the depth","body":"Set Enrich from to a company domain or a LinkedIn URL, then set Data to return. Basic data covers name, industry, location, size and founded year. LinkedIn data adds description, tagline, followers and specialities."},{"label":"Step 3","title":"Map outputs and run","body":"Add the output columns you need, preview a few rows, then run the full list. Keep the Status column so you can filter failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data Extraction","description":"Visit a website and extract company details and its founder.","imageAlt":""},{"title":"Company Enrichment from Name","description":"Find and enrich a company using its name.","imageAlt":""},{"title":"Get Company Sector","description":"Figure out the sector of a company.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"The 5 Best CRM Cleaning and Enrichment Tools (2025)","imageAlt":"The 5 Best CRM Cleaning and Enrichment Tools (2025)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Company Enrichment with complementary data tools in Datablist.","cards":[{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or the reverse.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public information from LinkedIn company pages.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about inputs, data modes, billing and match rates."},"guide":{"hero":{"title":"How to use Datablist's Company Enrichment","description":"Run Datablist's Company Enrichment on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Enrich from","Text","Define what data you already have for the companies. If you want to use several choices, just re-run the enrichment with another value."],["Data to return","Text","Basic data contains industry, location, number of employees, founded year. LinkedIn Data contains live data points from the LinkedIn page."]]},{"title":"Inputs","rows":[["Company Domain","Text","Company website or domain. Ex: datablist.com, www.google.com"]]},{"title":"Outputs","rows":[["Name","Text","Company name"],["LinkedIn Url","Url","Company linkedin url"],["Founded Year","Number","When the company was created"],["Industry","Text","The company industry (ex: health, construction, transportation)"],["City","Text","Headquarter city"],["Region","Text","Headquarter region"],["Country","Text","Headquarter country"],["Nb Employees Range","Text","One of: 1, 2-10, 11-50, 51-200, 201-500, 501-1000, 1001-5000, 5001-10000, 10,001+"],["Status","Text","One of: invalid_data, not_found, success"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"The 5 Best CRM Cleaning and Enrichment Tools (2025)","imageAlt":"The 5 Best CRM Cleaning and Enrichment Tools (2025)"}]}},"corner":{"title":"Try it for Free","body":"Enrich companies from a domain or LinkedIn URL. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Company Enrichment","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentImpressumScraper":{"metadata":{"title":"Impressum Scraper - Extract Company Details From German Websites | Datablist","description":"Extract company details from German Impressum pages in bulk: legal name, address, managing director, VAT and registration number. 10 credits per website."},"tabs":["Overview","How to use"],"hero":{"title":"Impressum Scraper","description":"Turn German company websites into legal company details. Datablist finds the Impressum page and extracts the name, address, contacts and managing director.","primary":"Scrape 50 Impressum pages free","guide":"Check Full Guide","note":"No credit card needed","trust":["10 Credits per Website","Extracts Managing Director Details","Scrape 50 Impressum Pages Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Impressum Scraper uses AI to find the Impressum or imprint page on each website, read it and extract structured company details. It stays on the same host and does not use search engines.","cards":[{"title":"What you give","items":["Website: A homepage or root domain, one per row","German Company Sites: Built for German Impressum and imprint pages","Company Websites Only: Avoid social profiles and directory pages"],"links":["See full input reference"]},{"title":"What you get","items":["Managing Director: First name, last name and gender of the managing director or founder","Company Details: Name, postal address, VAT number and registration number","Contacts and Source: Email addresses, phone number, Impressum URL and a confidence score"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["10 Credits per Website: 500 websites cost 5,000 credits","Billed per Website: Each website you run is one extraction","About $0.01 per Website: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Website. Output: 12 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Impressum Scraper"],"headers":["Website","Company Name","Managing Director First Name","Managing Director Last Name","Postal Address","Email Addresses","Phone Number","VAT number","Company Registration Number","Managing Director Gender","Impressum Url","Confidence Score","Error Msg"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many websites you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Websites to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Impressum Scraper costs 10 credits per website, and the estimate charges every website you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add German company websites and get their legal details back.","steps":[{"label":"Step 1","title":"Import your websites","body":"Upload a CSV or Excel file with one website per row. Use homepages or root domains of German company sites, because the AI starts from the website you provide. Remove social profile links and directory pages first."},{"label":"Step 2","title":"AI finds the Impressum","body":"The AI looks for an impressum or imprint page on the same site, checking common paths and legal links in the navigation. It does not use search engines or external links."},{"label":"Step 3","title":"Get legal company details","body":"Each row returns the managing director, company name, address, contacts, VAT and registration numbers, a confidence score and any error. Review important rows before you rely on them. Everything lands in your collection, ready to filter and export."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Impressum Page Scraping","description":"Find the Impressum page for a website and extract company and contact information.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""},{"title":"Company Data Extraction","description":"Visit a website and extract information about the company.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Impressum Scraper with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"Technology Identifier","description":"Find the technology stack of any website.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about Impressum pages, fields, billing and accuracy."},"guide":{"hero":{"title":"How to use Datablist's Impressum Scraper","description":"Run Datablist's Impressum Scraper on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Website","Text","URL of the website to visit"]]},{"title":"Outputs","rows":[["Managing Director First Name","Text","The first name of the Managing Director/Founder. Empty if not found."],["Managing Director Last Name","Text","The last name of the Managing Director/Founder. Empty if not found."],["Managing Director Gender","Text","The gender (male, female) of the Managing Director/Founder. Empty if not found."],["Company Name","Text","The name of the company, when available."],["Postal Address","LongText","The postal address for the company, when available."],["Email Addresses","Text","Email addresses found on the impressum page."],["Phone Number","Text","The company phone number."],["VAT number","Text","The company VAT number."],["Company Registration Number","Text","The company identification number."],["Impressum Url","Url","The link to the impressum page."],["Confidence Score","Number","Confidence score for the results. Between 0 and 100. The higher, the better."],["Error Msg","Text","Agent Error message, if any."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Extract company details from German Impressum pages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Impressum Scraper","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentLinkedInCompanyPageScraper":{"metadata":{"title":"LinkedIn Company Page Scraper - Scrape Company Data in Bulk | Datablist","description":"Scrape public data from LinkedIn company pages in bulk: name, website, industry, size, followers and headquarters. 25 credits per company page."},"tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Company Page Scraper","description":"Turn LinkedIn company page URLs into structured company data: website, industry, size, followers and headquarters, in bulk.","primary":"Scrape 20 company pages free","guide":"Check Full Guide","note":"No credit card needed","trust":["25 Credits per Company Page","17 Output Fields per Company","Scrape 20 Company Pages Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"LinkedIn Company Page Scraper loads each public LinkedIn company page on your list and returns its data as columns. It is useful when you trust LinkedIn more than old CRM data or third-party databases.","cards":[{"title":"What you give","items":["Company LinkedIn Page URL: One per row, in the format linkedin.com/company/name","Numerical Company IDs: URLs with numerical IDs work at the same 25-credit price","Clean URLs: Invalid or unrelated URLs are marked in the status output"],"links":["See full input reference"]},{"title":"What you get","items":["Company Basics: Name, tagline, description, website, industry and specialities","Size and Type: Company type, company size, founded year and follower count","Headquarters: Country, city, address and postal code, plus the logo URL"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Company Page: 500 pages cost 12,500 credits","Same Price for Numerical IDs: Named and numerical company URLs both cost 25 credits","About $0.025 per Page: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company LinkedIn Page URL. Output: 7 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by LinkedIn Company Page Scraper"],"headers":["Company LinkedIn Page URL","Name","Website","Industry","Company Size","Follower Count","Headquarter City","Enrichment Status"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many company pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Company pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which URLs do you have?","modes":["Company URLs with named or numerical IDs (25 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. LinkedIn Company Page Scraper costs 25 credits per company page, whether the URL contains a company name or a numerical ID. The estimate counts every page you enter once at that rate. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add LinkedIn company page URLs and get structured company data back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one LinkedIn company page URL per row, in the format linkedin.com/company/name. Clean the list first, because invalid or unrelated URLs are marked in the status output. Keep your original columns so you can audit the results later."},{"label":"Step 2","title":"Datablist loads each page","body":"The enrichment loads each public company page and parses its data. Run it on a small sample first, then launch the full batch once the columns look right. Each row also gets a status, so failures are easy to spot."},{"label":"Step 3","title":"Get structured company data","body":"Each row gets company fields such as name, website, industry, size, followers and headquarters, plus a status. Fix any bad URLs and rerun only those rows. Everything lands in your Datablist collection, ready to filter and export."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"Company Name to LinkedIn URL","description":"Search for the LinkedIn URL using a company name.","imageAlt":""},{"title":"Company Enrichment from Name","description":"Find and enrich a company using its name.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"How to Extract Names and Details From LinkedIn Profile URLs","imageAlt":"How to Extract Names and Details From LinkedIn Profile URLs"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair LinkedIn Company Page Scraper with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Match company websites and LinkedIn company pages.","imageAlt":""},{"title":"Technology Identifier","description":"Find the technology stack of any website.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about fields, URLs, billing and company data."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Company Page Scraper","description":"Run Datablist's LinkedIn Company Page Scraper on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Company LinkedIn Page URL","Text","URL should be in the format of https://www.linkedin.com/company/xxxx. Numeric company IDs are also supported (example: https://www.linkedin.com/company/1234567890)."]]},{"title":"Outputs","rows":[["Name","Text","The name of the company."],["Tagline","Text","The company's tagline or slogan as displayed on their LinkedIn page. This is a short phrase that describes the company's mission or value proposition."],["Description","Text","Description of the company"],["Website","Url","Company website URL"],["Industry","Text","The industry attribute from the LinkedIn Company profile. Ex: Real Estate."],["Specialities","Text","Comma-separated list of company specialities or focus areas as listed on LinkedIn."],["Company Type","Text","One of: EDUCATIONAL, GOVERNMENT_AGENCY, NON_PROFIT, PARTNERSHIP, PRIVATELY_HELD, PUBLIC_COMPANY, SELF_EMPLOYED, SELF_OWNED"],["Company Size","Number","The size of the company as indicated on LinkedIn."],["Founded Year","Number","The company founded year."],["Follower Count","Number","The number of followers the company has on LinkedIn."],["Logo URL","Url","URL of the company's logo image from LinkedIn."],["Headquarter Country","Text","-"],["Headquarter City","Text","-"],["Headquarter Address","Text","The street address of the company's headquarters (e.g., '1600 Amphitheatre Parkway')."],["Headquarter Postal Code","Text","The postal code or ZIP code of the company's headquarters."],["LinkedIn Internal Id","Text","-"],["Enrichment Status","Text","Return \"found\", \"not_found\", \"bad_format\" or \"missing_data\" (empty LinkedIn Profile URL)"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"How to Extract Names and Details From LinkedIn Profile URLs","imageAlt":"How to Extract Names and Details From LinkedIn Profile URLs"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"}]}},"corner":{"title":"Try it for Free","body":"Scrape public data from LinkedIn company pages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"LinkedIn Company Page Scraper","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentLinkedInProfileFinderFromName":{"metadata":{"title":"LinkedIn Profile Finder from Name - Find LinkedIn URLs in Bulk | Datablist","description":"Find the LinkedIn profile URL for every name in your CSV or Excel file. Add a company or school keyword to improve matches. 2.5 credits per lookup."},"tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Profile Finder from Name","description":"Turn a list of names into LinkedIn profile URLs. Add a keyword like a company for better matches and review each result by confidence.","primary":"Find 200 profiles free","guide":"Check Full Guide","note":"No credit card needed","trust":["2.5 Credits per Lookup","Confidence Level for Every Match","Find 200 Profiles Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"LinkedIn Profile Finder from Name searches Google for a matching public LinkedIn profile for each person in your list. It returns the profile URL, the page title, a summary and a confidence level.","cards":[{"title":"What you give","items":["Name: A Full Name, or a First Name and a Last Name","Keyword: Optional: a company, school, job title or city","Settings: Target Country and Skip if not matching name"],"links":["See full input reference"]},{"title":"What you get","items":["LinkedIn Page: The profile URL when one is found","Page Title and Summary: Role, company and a short abstract from the result","Profile Confidence: High, Medium, Low or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["2.5 Credits per Lookup: 1,000 lookups cost 2,500 credits","Billed per Lookup: Charged whether or not a profile is found","Empty Rows Are Free: Rows with no name cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Full Name and Keyword. Output: LinkedIn Page, LinkedIn Profile Page Title and Profile Confidence.","groups":["Your data","Added by LinkedIn Profile Finder from Name"],"headers":["Full Name","Keyword","LinkedIn Page","LinkedIn Profile Page Title","Profile Confidence"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many names you need to look up and we'll show you the cheapest way to run them.","unitsLabel":"Names to look up","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. LinkedIn Profile Finder from Name costs 2.5 credits per lookup, whether or not a profile is found. Rows with no name cost 0 credits, so the estimate is a ceiling if your file has empty rows. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give Datablist a name and a keyword, and it finds the profile.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with a Full Name column, or separate First Name and Last Name columns. Add a company, school or city column when you have one, because it helps pick the right person."},{"label":"Step 2","title":"Datablist searches for the profile","body":"For each row, Datablist runs a search with the name and your keyword and looks for a matching public LinkedIn profile. Set a target country to focus the results on your region."},{"label":"Step 3","title":"Review matches by confidence","body":"Each row returns the profile URL, page title, summary and a confidence level from High to Very Low. Filter on confidence before outreach and review the weaker matches by hand. Strong matches can go straight into your next enrichment."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Find LinkedIn Profiles From a Name and Company","imageAlt":"How to Find LinkedIn Profiles From a Name and Company"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair LinkedIn Profile Finder from Name with complementary data tools in Datablist.","cards":[{"title":"Waterfall Phone Finder","description":"Find phone numbers from LinkedIn profile URLs.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about matching, confidence, billing and privacy."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Profile Finder from Name","description":"Run Datablist's LinkedIn Profile Finder from Name on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Target Country","Text","Search engine country setting. Default to US."],["Skip if not matching name","Boolean","If checked, will skip LinkedIn URL profile if the name doesn't match exactly. To get more results, keep it unchecked and filter the profiles using the Page Title afterward."]]},{"title":"Inputs","rows":[["Full Name","Text","Prospect Full Name. Map the \"Full Name\" input, or both \"First Name\" and \"Last Name\""],["First Name","Text","Prospect First Name. Map the \"Full Name\" input, or both \"First Name\" and \"Last Name\""],["Last Name","Text","Prospect Last Name. Map the \"Full Name\" input, or both \"First Name\" and \"Last Name\""],["Keyword","Text","Extra keyword to narrow search. Ex: Company Name, School Name, etc."]]},{"title":"Outputs","rows":[["LinkedIn Page","-","LinkedIn page URL when found."],["LinkedIn Profile Page Title","Text","The page title can give you info about the current job position, the company, etc."],["LinkedIn Profile Summary","LongText","Abstract of profile summary when possible."],["Profile Confidence","Text","Confidence level of the match: High, Medium, Low, or Very Low."],["Processed","Boolean","Checkbox property. True if the action has process the item. Useful to avoid calling again on items with no LinkedIn result"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Find LinkedIn Profiles From a Name and Company","imageAlt":"How to Find LinkedIn Profiles From a Name and Company"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]}},"corner":{"title":"Try it for Free","body":"Find LinkedIn profile URLs from names in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"LinkedIn Profile Finder from Name","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentLinksEmailScraper":{"metadata":{"title":"Links & Email Addresses Scraper - Extract Emails, LinkedIn and Instagram Links in Bulk | Datablist","description":"Scrape email addresses, LinkedIn links and Instagram profiles from a list of webpage URLs. 0.10 credits per page, 0.50 with a proxy."},"tabs":["Overview","How to use"],"hero":{"title":"Links & Email Addresses Scraper","description":"Turn a list of webpage URLs into email addresses and LinkedIn and Instagram links. A simple scrape costs 0.10 credits per page.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["0.10 Credits per Page","Emails and Social Links","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Links & Email Addresses Scraper reads each webpage on your list and returns the email addresses, LinkedIn links and Instagram profiles it finds. It can use a proxy when a site blocks normal requests, and render JavaScript pages.","cards":[{"title":"What you give","items":["URL to Parse: A full URL with http or https, one per row","Proxy and Rendering: Optional: proxy on errors, or render JavaScript pages","Ignore Terms: Optional: skip noisy LinkedIn or Instagram matches"],"links":["See full input reference"]},{"title":"What you get","items":["Email Addresses: A comma-separated list of what is found on the page","Social Links: LinkedIn pages and profiles, and Instagram profiles","Scraping Status: success, unreachable, http_error, invalid_url or empty_url"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.10 Credits per Page: 10,000 simple pages cost 1,000 credits","0.50 Credits with a Proxy: With proxy fallback you pay it only for pages that need it","2 Credits with Render HTML: For pages rendered by JavaScript"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: URL to parse. Output: Email Addresses, LinkedIn Profiles, Instagram Profiles and Scraping Status.","groups":["Your data","Added by Links & Email Addresses Scraper"],"headers":["URL to parse","Email Addresses","LinkedIn Profiles","Instagram Profiles","Scraping Status"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many pages you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Pages to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping mode?","modes":["Basic scraping (0.1 credits per page)","With a proxy (0.5 credits per page)","With Render HTML (2 credits per page)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Links & Email Addresses Scraper costs 0.10 credits per page for basic scraping, 0.50 credits with a proxy and 2 credits with Render HTML. A cached page costs 0.05 credits. The estimate charges every page you enter once at the rate you select, and cached pages can reduce it. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add webpage URLs and get emails and social links back.","steps":[{"label":"Step 1","title":"Import your URLs","body":"Upload a CSV or Excel file with one webpage URL per row. Use the full URL with http or https. Homepages, contact pages and team pages usually work better than directory search pages."},{"label":"Step 2","title":"Choose what to extract","body":"Map the URL column and pick the outputs: email addresses, LinkedIn links and Instagram profiles. Turn on the proxy for sites that block normal requests, or Render HTML for pages built with JavaScript."},{"label":"Step 3","title":"Get clean columns back","body":"Each URL returns its results as comma-separated lists, plus a scraping status that separates failures from clean misses. Split the lists into one value per row before outreach, or send them to a deeper enrichment."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Extract Video Links","description":"Parse a webpage to find video links from YouTube, Vimeo and more.","imageAlt":""},{"title":"Extract Alternate Languages","description":"Parse webpage meta tags and extract alternate languages.","imageAlt":""},{"title":"Business Number Extractor","description":"Visit a company website and extract its phone number with the source location.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Links & Email Addresses Scraper with complementary data tools in Datablist.","cards":[{"title":"Smart Scraper","description":"Scrape page text, emails and social links in bulk.","imageAlt":""},{"title":"Instagram Profile Scraper","description":"Scrape public Instagram profile data in bulk.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data from LinkedIn profile URLs.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about cost, proxies, formats and when to use Smart Scraper."},"guide":{"hero":{"title":"How to use Datablist's Links & Email Addresses Scraper","description":"Run Datablist's Links & Email Addresses Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","All Settings Are Optional","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Proxy when needed","Boolean","Use a proxy to avoid protected pages, bypass rate limit, CAPTCHA, etc. Enrichment Cost is 0.50 credit per scrape with proxy. Disabled by default."],["Proxy Policy","Text","When to enable proxy? Default: Proxy enabled on scraping error."],["Render HTML","Boolean","Render the page in a headless browser before scraping. Use this setting to scrape javascript rendered urls. Enrichment Cost is 2 credits per scrape with this option. Default to false."],["Disable cached data","Boolean","Datablist caches the page content for 7 days. If the page is already in the cache, the cost is just 0.05 credits per cached URL (whether it comes from the proxy or not)."],["Instagram Ignore Terms","Text","Optional. Comma-separated list of terms to filter Instagram results. For example, with the ignore term: \"data\", the instagram https://www.instagram.com/DATAblist/ will be ignored."],["LinkedIn Ignore Terms","Text","Optional. Comma-separated list of terms to filter LinkedIn results. For example, with the ignore term: \"data\", https://www.linkedin.com/company/DATAblist/ will be ignored."],["Scrape Email Addresses in scripts/comments","Boolean","If true, will extract hidden email addresses found in JavaScript code, or comments. Note: You might get debug or irrelevant email addresses. Default to false."]]},{"title":"Inputs","rows":[["URL to parse","-","Full URL with protocol (http/https)."]]},{"title":"Outputs","rows":[["Email Addresses","Text","Comma-separated list of email addresses when found."],["LinkedIn Profiles","Text","Comma-separated list of LinkedIn Pages or Profiles when found."],["Instagram Profiles","Text","Comma-separated list of instagram profiles when found."],["Scraping Status","Text","One of the following: success, unreachable, http_error (error returned from the server), invalid_url, or empty_url"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Scrape Leads: From Target Market to a Qualified Lead List","imageAlt":"How to Scrape Leads: From Target Market to a Qualified Lead List"},{"title":"How To Scrape Any Website (No Scripts, Just A Prompt)","imageAlt":"How To Scrape Any Website (No Scripts, Just A Prompt)"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Extract emails, LinkedIn links and Instagram profiles from webpages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Links & Email Addresses Scraper","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentTechnologyIdentifier":{"metadata":{"title":"Technology Identifier - Find Website Technologies in Bulk | Datablist","description":"Find the technology stack of every website in your CSV or Excel file: CMS, ecommerce, analytics and hosting tools, plus company details. 5 credits per website."},"tabs":["Overview","How to use"],"hero":{"title":"Technology Identifier","description":"Find the technology stack of any website in bulk. See CMS, ecommerce, analytics and hosting tools, plus company details, from a list of domains.","primary":"Check 100 websites free","guide":"Check Full Guide","note":"No credit card needed","trust":["5 Credits per Website","17 Technology Categories Detected","Check 100 Websites Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Technology Identifier analyzes each website on your list and returns the technologies it uses, grouped by category, plus an estimated technology spend and company details found on the site.","cards":[{"title":"What you give","items":["Website URL: A domain or a homepage URL, one per row","Homepages Work Best: Deep links may work, but homepages show more of the stack","No Settings: There is nothing to configure before you run it"],"links":["See full input reference"]},{"title":"What you get","items":["Technologies by Category: 17 groups, including analytics, marketing, servers and security","Technology Spend: Very low, low, medium, high or very high","Company and Contact Details: Name, industry, size, locations, emails and phone numbers found on the site"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["5 Credits per Website: 1,000 websites cost 5,000 credits","Billed per Website: Each website you run is one analysis","About $0.005 per Website: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Website URL. Output: 44 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Technology Identifier"],"headers":["Website URL","Company Name","Industry","Technology Spend","Analytics Technologies","Marketing Technologies","Servers Technologies","Security Technologies","Web development Technologies","Sales Technologies","Communication Technologies","Content Technologies","Business tools Technologies","Privacy Technologies","Utilities Technologies","Responsive","Copyright Year","Add-ons Technologies","Booking Technologies","Location Technologies","Media Technologies","Other Technologies","User generated content Technologies","Inferred Company Name","Meta Title","Meta Description","About Company","LinkedIn","Facebook","Twitter","Instagram","Countries","Languages","Locations","Company Size","Company Type","Founded Year","Total Funding (USD)","Funding Rounds","Employees","Phone Numbers","Email Addresses","Unverified Email Addresses","WhatsApp Numbers","Website"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many websites you want to analyze and we'll show you the cheapest way to run them.","unitsLabel":"Websites to analyze","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Technology Identifier costs 5 credits per website, and the estimate charges every website you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add a list of websites and get their technology stack back.","steps":[{"label":"Step 1","title":"Import your websites","body":"Upload a CSV or Excel file with one website per row. A domain or a homepage URL both work, and homepages usually show more of the stack. Remove duplicate domains first so you do not pay twice for the same site."},{"label":"Step 2","title":"Datablist analyzes each site","body":"The enrichment normalizes each URL, resolves a canonical version when needed, and analyzes the site. It detects technologies such as CMS platforms, ecommerce tools, analytics and hosting. It also reads company details, such as the name, industry and size, from the site."},{"label":"Step 3","title":"Filter by what you find","body":"You get technologies grouped by category, an estimated technology spend and company details. Filter the columns to qualify accounts, segment by stack or research competitors. Everything lands in your collection next to your original columns."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data Extraction","description":"Visit a website and extract information about the company.","imageAlt":""},{"title":"B2B or B2C Classifier","description":"Classify a website as B2B or B2C by its primary audience.","imageAlt":""},{"title":"Company Sector Finder","description":"Figure out a company's sector from its website and public data.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How To Find Companies That Use Shopify: The Last Guide You Need","imageAlt":"How To Find Companies That Use Shopify: The Last Guide You Need"},{"title":"What is a Technology Finder (And How It Brings You More Customers)","imageAlt":"What is a Technology Finder (And How It Brings You More Customers)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Technology Identifier with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL.","imageAlt":""},{"title":"Company Name to Domain","description":"Find company websites from company names in a few clicks.","imageAlt":""},{"title":"AI Agent","description":"Browse websites and extract data for every row with one prompt.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about detection, results and credits."},"guide":{"hero":{"title":"How to use Datablist's Technology Identifier","description":"Run Datablist's Technology Identifier on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Settings to Configure","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Inputs","rows":[["Website URL","Url","The website URL (or domain) to analyze."]]},{"title":"Outputs","rows":[["Add-ons Technologies","LongText","List of technologies in the category \"Add-ons\". See https://www.wappalyzer.com/technologies/ to learn more."],["Analytics Technologies","LongText","List of technologies in the category \"Analytics\". See https://www.wappalyzer.com/technologies/ to learn more."],["Booking Technologies","LongText","List of technologies in the category \"Booking\". See https://www.wappalyzer.com/technologies/ to learn more."],["Business tools Technologies","LongText","List of technologies in the category \"Business tools\". See https://www.wappalyzer.com/technologies/ to learn more."],["Communication Technologies","LongText","List of technologies in the category \"Communication\". See https://www.wappalyzer.com/technologies/ to learn more."],["Content Technologies","LongText","List of technologies in the category \"Content\". See https://www.wappalyzer.com/technologies/ to learn more."],["Location Technologies","LongText","List of technologies in the category \"Location\". See https://www.wappalyzer.com/technologies/ to learn more."],["Marketing Technologies","LongText","List of technologies in the category \"Marketing\". See https://www.wappalyzer.com/technologies/ to learn more."],["Media Technologies","LongText","List of technologies in the category \"Media\". See https://www.wappalyzer.com/technologies/ to learn more."],["Other Technologies","LongText","List of technologies in the category \"Other\". See https://www.wappalyzer.com/technologies/ to learn more."],["Privacy Technologies","LongText","List of technologies in the category \"Privacy\". See https://www.wappalyzer.com/technologies/ to learn more."],["Sales Technologies","LongText","List of technologies in the category \"Sales\". See https://www.wappalyzer.com/technologies/ to learn more."],["Security Technologies","LongText","List of technologies in the category \"Security\". See https://www.wappalyzer.com/technologies/ to learn more."],["Servers Technologies","LongText","List of technologies in the category \"Servers\". See https://www.wappalyzer.com/technologies/ to learn more."],["User generated content Technologies","LongText","List of technologies in the category \"User generated content\". See https://www.wappalyzer.com/technologies/ to learn more."],["Utilities Technologies","LongText","List of technologies in the category \"Utilities\". See https://www.wappalyzer.com/technologies/ to learn more."],["Web development Technologies","LongText","List of technologies in the category \"Web development\". See https://www.wappalyzer.com/technologies/ to learn more."],["Technology Spend","Text","Estimated technology spend (very low, low, medium, high or very high)."],["Website","Url","The website's analyzed."],["Company Name","Text","Official company name."],["Inferred Company Name","Text","Company name inferred from website content (best guess)."],["Meta Title","Text","The website's title, as found on the homepage."],["Meta Description","LongText","The website's meta description."],["Responsive","Boolean","Whether the website is responsive"],["Copyright Year","Number","Copyright year extracted from the footer"],["Industry","Text","Company industry, e.g., 'Design'."],["About Company","LongText","Company description."],["LinkedIn","Text","LinkedIn URLs found on the website's contact page."],["Facebook","Text","Facebook URLs found on the website's contact page."],["Twitter","Text","Twitter URLs found on the website's contact page."],["Instagram","Text","Instagram URLs found on the website's contact page."],["Countries","Text","All countries the website was found to serve content from. Derived from business locations, phone numbers, top-level domain and IP address."],["Languages","Text","All languages detected on the website."],["Locations","Text","Business locations."],["Company Size","Text","Number of employees at the company."],["Company Type","Text","The type of company, e.g., 'Public Company' or 'Privately Held'."],["Founded Year","Number","The year the company was founded."],["Total Funding (USD)","Number","The total amount of funding raised, in USD."],["Funding Rounds","Number","The number of funding rounds."],["Employees","Text","Names and titles of people at the company."],["Phone Numbers","Text","Phone numbers found on the website's contact page."],["Email Addresses","Text","Email addresses found on the website's contact page."],["Unverified Email Addresses","Text","Emails found on the website, but not verified. Use with caution."],["WhatsApp Numbers","Text","WhatsApp numbers found on the website's contact page."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Outdated Websites And Turn Them Into Web Design Clients","imageAlt":"How To Find Outdated Websites And Turn Them Into Web Design Clients"},{"title":"How To Find Companies That Use Shopify: The Last Guide You Need","imageAlt":"How To Find Companies That Use Shopify: The Last Guide You Need"},{"title":"What is a Technology Finder (And How It Brings You More Customers)","imageAlt":"What is a Technology Finder (And How It Brings You More Customers)"}]}},"corner":{"title":"Try it for Free","body":"Find the technology stack of any website in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Technology Identifier","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWaterfallEmailVerifier":{"metadata":{"title":"Waterfall Email Verifier - Verify Email Addresses in Bulk | Datablist","description":"Verify email addresses in bulk with a waterfall of verification providers. Get a status, a reason and a suggested fix for every email. 5 credits per deliverability check."},"tabs":["Overview","How to use"],"hero":{"title":"Waterfall Email Verifier","description":"Check every email on your list before you send. Datablist validates the address, then verifies the mailbox across several providers in sequence.","primary":"Verify 100 emails free","guide":"Check Full Guide","note":"No credit card needed","trust":["5 Credits per Deliverability Check","Verifies Mailboxes Across Providers","Verify 100 Emails Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall Email Verifier starts with syntax and domain checks, then verifies that the mailbox exists and can receive email. Catch-all and unknown results move to the next provider in the waterfall.","cards":[{"title":"What you give","items":["Email: One email address per row","Custom Waterfall: Optional: your own providers and API keys","Waterfall Sequence: Optional: the order of your providers"],"links":["See full input reference"]},{"title":"What you get","items":["Email Status: valid, invalid, risky, catch_all or unknown","Reason and Suggested Email: Why the status was given, and a likely typo fix","Segmentation Fields: Free Provider, Role Account, Domain and MX Provider"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["5 Credits per Deliverability Check: 1,000 checks cost up to 5,000 credits","Free on Early Failures: No charge when the check stops on a syntax or domain error","About $0.005 per Check: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Email. Output: 7 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Waterfall Email Verifier"],"headers":["Email","Email Status","Reason","Suggested Email","Free Provider","Role Account","Domain","MX Provider"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many emails you want to verify and we'll show you the cheapest way to run them.","unitsLabel":"Emails to verify","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall Email Verifier costs 5 credits per deliverability check, and nothing when the check stops on a syntax or domain error such as a disposable domain or an invalid format. The estimate charges every email once, so it is a ceiling when part of your list fails the basic checks. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add your email list and get a verdict for every address.","steps":[{"label":"Step 1","title":"Import your emails","body":"Upload a CSV or Excel file with one email address per row. Keep the original column so you can compare it with the results later. Remove blank rows first so you do not waste a check on them."},{"label":"Step 2","title":"Validate, then verify","body":"Datablist checks the format, the domain and the MX records first. Addresses that pass go through deeper mailbox checks across providers such as MillionVerifier, Icypeas, Enrow, Reoon, Findymail, LeadMagic, BulkEmailChecker and QuickEmailVerification, and catch-all or unknown results move on to the next provider."},{"label":"Step 3","title":"Filter by status","body":"Each email gets a status, a reason and, for likely typos, a suggested fix. Keep the valid addresses for outreach and review risky, catch-all and unknown ones separately. Then export the cleaned list to your CRM or sending tool."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Email First Line","description":"Use a person's LinkedIn description to write an email's first line.","imageAlt":""},{"title":"Normalize First and Last Name","description":"Normalize capitalization and formatting of names without changing them.","imageAlt":""},{"title":"Job Change Check","description":"Verify if a prospect is still working at their company.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)","imageAlt":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)"},{"title":"How to Find Emails at Scale With a Waterfall Email Finder","imageAlt":"How to Find Emails at Scale With a Waterfall Email Finder"},{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall Email Verifier with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"Waterfall Personal Email Finder","description":"Find personal email addresses from a LinkedIn profile URL.","imageAlt":""},{"title":"Free Email Validator","description":"Quick syntax and domain checks on your email list.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about statuses, billing and custom providers."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Email Verifier","description":"Run Datablist's Waterfall Email Verifier on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Custom Waterfall","Boolean","Check this setting to customize the Waterfall sequence and use your own API Keys."],["Waterfall Sequence","MultipleValues","Define each provider and configure your API Keys. Catch-All and Unknown emails are passed down to the next email verification provider."]]},{"title":"Inputs","rows":[["Email","-","-"]]},{"title":"Outputs","rows":[["Email Status","Text","One of the following: valid, invalid, risky, catch_all, unknown"],["Reason","Text","Additional info to explain the status. One of the following: Invalid format, Disposable or blacklisted domain, Spam Trap, DNS Error, Missing MX Records, SMTP server error, Mailbox does not exist, Mailbox is disabled, Mailbox full, Timeout error, Email is temporary greylisted"],["Suggested Email","Email","If the address is invalid and we found a likely repaired version"],["Free Provider","Boolean","Return True if the domain is from a free email provider (Gmail, Yahoo, Hotmail, etc.)"],["Role Account","Boolean","Return True if the email address is a role address (support@, team@, etc.)"],["Domain","Text","Return the domain part of the email. After the @. Example: gmail.com"],["MX Provider","Text","Return the email provider. Examples: google, microsoft, ovh, etc."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)","imageAlt":"9 Best Email Finder Tools in 2026 (Why Waterfalls Win)"},{"title":"How to Find Emails at Scale With a Waterfall Email Finder","imageAlt":"How to Find Emails at Scale With a Waterfall Email Finder"},{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"}]}},"corner":{"title":"Try it for Free","body":"Verify email addresses in bulk before you send. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Waterfall Email Verifier","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWaterfallPeopleEnrichment":{"metadata":{"title":"Waterfall People Enrichment - Enrich Contacts in Bulk | Datablist","description":"Enrich contacts in bulk from an email, a LinkedIn URL, or a name and company domain. Get up to 58 person and company fields from several data providers. 100 credits per successful enrichment."},"tabs":["Overview","How to use"],"hero":{"title":"Waterfall People Enrichment","description":"Complete your contact records from an email, a LinkedIn URL, or a name and domain. Datablist uses several providers to return person and company data.","primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed","trust":["100 Credits per Successful Enrichment","Up to 58 Fields per Contact","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall People Enrichment completes a contact record from the data you already have. It uses several data providers to return up to 58 fields about the person and their company.","cards":[{"title":"What you give","items":["One Starting Point: An email, a LinkedIn profile URL, or a name plus a company domain","Company Domain: Recommended over a company name for better matching","Settings: Enrich from, and Include phone number"],"links":["See full input reference"]},{"title":"What you get","items":["Person Data: Name, email, headline, job title, location and LinkedIn URL","Career and Education: Past jobs, schools, skills and certifications","Company Data: Name, website, industry, size, location and founded year"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["100 Credits per Successful Enrichment: About $0.10 each at 1,000 credits per dollar","300 Credits with a Phone Number: 100 credits when no phone number is found","Email Starts Are Billed on Misses: Enriching from an email also uses credits on unsuccessful requests"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: First Name, Last Name and Company Domain. Output: 58 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Waterfall People Enrichment"],"headers":["First Name","Last Name","Company Domain","Full Name","Email","Job Title","Company Name","Location","LinkedIn URL","Headline","Company Domain","Company Industry","Company Size Range","Other Emails","LinkedIn Member ID","LinkedIn Premium","Open To Work","Profile Picture","LinkedIn Summary","Skills","Job Description","Job Start Date","Job End Date","Title (Experience #2)","Company Name (Experience #2)","Description (Experience #2)","Position 2 Start Date","Position 2 End Date","Title (Experience #3)","Company Name (Experience #3)","Description (Experience #3)","Position 3 Start Date","Position 3 End Date","City","State","Country","Company Website","Company Description","Company LinkedIn URL","Company LinkedIn ID","Company Logo","Company Founded Year","Company Location","Company Estimated Size","School (Current or last education)","Degree (Current or last education)","Field Of Study (Current or last education)","Start Date (Current or last education)","End Date (Current or last education)","School (Education #2)","Degree (Education #2)","Field Of Study (Education #2)","Start Date (Education #2)","End Date (Education #2)","School (Education #3)","Degree (Education #3)","Field Of Study (Education #3)","Start Date (Education #3)","End Date (Education #3)","Certifications","Processed"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many contacts you want to enrich and we'll show you the cheapest way to run them.","unitsLabel":"Contacts to enrich","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which data do you need?","modes":["Person and company data (100 credits per successful enrichment)","With a phone number (300 credits per enrichment that includes a number)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall People Enrichment costs 100 credits per successful enrichment, or 300 credits for each enrichment that includes a phone number (100 when no number is found). Enriching from an email also uses credits on unsuccessful requests. The estimate charges every contact you enter once at the rate you pick, so it is a ceiling when some lookups fail. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Start from what you have and get a full contact profile back.","steps":[{"label":"Step 1","title":"Import your contacts","body":"Upload a CSV or Excel file with an email address, a LinkedIn profile URL, or a name and company domain for each contact. A domain is more accurate than a company name. Keep your source columns so you can audit the results and rerun failed rows."},{"label":"Step 2","title":"Pick what you start from","body":"Choose Enrich from to match your data, then map your columns. Tick Include phone number if you also want a number. To use another starting point, run the enrichment again with a different choice."},{"label":"Step 3","title":"Get person and company data","body":"Datablist queries several providers and returns up to 58 fields, from name, email and job title to company size and industry. Billing depends on your starting point, as shown above. Everything lands in your collection next to your original columns."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Write Email First Line","description":"Use a person's LinkedIn description to write an email's first line.","imageAlt":""},{"title":"Decision Maker Flag","description":"Determine if a person is likely a decision maker from their job title.","imageAlt":""},{"title":"Extract Seniority","description":"Extract a standardized seniority level from a job title.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall People Enrichment with complementary data tools in Datablist.","cards":[{"title":"Waterfall Phone Finder","description":"Find phone numbers from LinkedIn profile URLs.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about inputs, data, billing and coverage."},"guide":{"hero":{"title":"How to use Datablist's Waterfall People Enrichment","description":"Run Datablist's Waterfall People Enrichment on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Enrich from","Text","Define what data your already have for your contacts. If you want to use several choices, just re-run the enrichment with another value."],["Include phone number","Boolean","If checked, the cost is 300 credits for each enrichment that includes a phone number. 100 credits when no phone number is found."]]},{"title":"Inputs","rows":[["First Name","Text","Person's first name. Ex: Tim"],["Last Name","Text","Person's last name. Ex: Zheng"],["Full Name","Text","Person's full name (if you don't have the first name and last name splitted). Ex: Tim Zheng. We recommand to use First Name and Last Name fields instead for better results."],["Company Domain","Text","Person's company domain (optional). Ex: datablist.com. Recommended over just the company name."],["Company Name","Text","Person's company name (optional). Ex: Datablist"]]},{"title":"Outputs","rows":[["Full Name","Text","Person's full name."],["Email","Email","Person's email"],["Other Emails","Text","Additional email addresses found for the profile, comma-separated."],["LinkedIn URL","Url","Person's LinkedIn url."],["LinkedIn Member ID","Text","The numeric LinkedIn member ID for the profile."],["LinkedIn Premium","Boolean","True if the person has LinkedIn Premium"],["Open To Work","Boolean","Whether the profile is open to work."],["Profile Picture","Url","LinkedIn profile picture URL."],["Headline","Text","Person's Profile Headline. Ex: Co-chair, Bill & Melinda Gates Foundation"],["LinkedIn Summary","LongText","The profile summary text."],["Skills","Text","Skills listed on the LinkedIn profile, comma-separated."],["Job Title","Text","Person's job title. Ex: Sales Executive, CEO, etc."],["Job Description","LongText","Description of the current or last experience."],["Job Start Date","Text","Person's current job start date. In format: YYYY-MM-DD"],["Job End Date","Text","End date of the current or last experience, when available. In format: YYYY-MM-DD."],["Title (Experience #2)","Text","Second position from the LinkedIn profile."],["Company Name (Experience #2)","Text","Company name from the second most recent work experience."],["Description (Experience #2)","LongText","Description of the second most recent work experience."],["Position 2 Start Date","Text","Start date of the second position."],["Position 2 End Date","Text","End date of the second position."],["Title (Experience #3)","Text","Third position from the LinkedIn profile."],["Company Name (Experience #3)","Text","Company name from the third most recent work experience."],["Description (Experience #3)","LongText","Description of the third most recent work experience."],["Position 3 Start Date","Text","Start date of the third position."],["Position 3 End Date","Text","End date of the third position."],["Location","Text","Person's location info on LinkedIn. Mostly 'City, State, Country'"],["City","Text","Parsed City from location info."],["State","Text","Parsed State from location info."],["Country","Text","Parsed Country from location info."],["Company Name","Text","Person's company name."],["Company Website","Url","Person's company website."],["Company Domain","Text","Person's company domain."],["Company Description","LongText","Person's company description."],["Company LinkedIn URL","Url","Person's company LinkedIn url."],["Company LinkedIn ID","Text","The company LinkedIn ID, when available."],["Company Logo","Url","The company logo URL, when available."],["Company Founded Year","Number","Person's company founded year."],["Company Location","Text","Person's company location."],["Company Industry","Text","Person's company industry."],["Company Size Range","Text","Person's company employees size range. Can be a range (ex: 1001-5000), or just 10001+ for companies with more than 10k employees."],["Company Estimated Size","Number","Person's company estimated number of employees (number)."],["School (Current or last education)","Text","Most recent education from the LinkedIn profile."],["Degree (Current or last education)","Text","Degree from the most recent education."],["Field Of Study (Current or last education)","Text","Field of study from the most recent education."],["Start Date (Current or last education)","Text","Start date of the most recent education."],["End Date (Current or last education)","Text","End date of the most recent education."],["School (Education #2)","Text","Second education from the LinkedIn profile."],["Degree (Education #2)","Text","Degree from the second education."],["Field Of Study (Education #2)","Text","Field of study from the second education."],["Start Date (Education #2)","Text","Start date of the second education."],["End Date (Education #2)","Text","End date of the second education."],["School (Education #3)","Text","Third education from the LinkedIn profile."],["Degree (Education #3)","Text","Degree from the third education."],["Field Of Study (Education #3)","Text","Field of study from the third education."],["Start Date (Education #3)","Text","Start date of the third education."],["End Date (Education #3)","Text","End date of the third education."],["Certifications","Text","Certification names listed on the LinkedIn profile, comma-separated."],["Processed","Boolean","Checkbox flag to track if an item has been processed by this enrichment."]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"What is Waterfall Enrichment (& Why You Need It)","imageAlt":"What is Waterfall Enrichment (& Why You Need It)"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"}]}},"corner":{"title":"Try it for Free","body":"Enrich contacts from an email, a LinkedIn URL or a name and domain. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Waterfall People Enrichment","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWaterfallPeopleSearch":{"metadata":{"title":"Waterfall People Search - Find Leads at Companies in Bulk | Datablist","description":"Find leads at the companies on your list by company domain. Filter by job title, seniority and country. 30 credits for a preview, 100 for a full profile with email, nothing for no result."},"tabs":["Overview","How to use"],"hero":{"title":"Waterfall People Search","description":"Go from a list of company domains to the right contacts. Filter by job title, seniority and country, and pay nothing when there is no result.","primary":"Preview 16 leads free","guide":"Check Full Guide","note":"No credit card needed","trust":["From 30 Credits per Lead","Up to 3 Leads per Company","Preview 16 Leads Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Waterfall People Search finds leads at each company domain on your list. It tries your first search, falls back to up to two more, and returns profile data, with a work email in full mode.","cards":[{"title":"What you give","items":["Company Domain: A domain or website, one per row","Search Filters: Job titles, departments, seniority and keywords","Settings: Lead Country, contacts per search, results type and cache age"],"links":["See full input reference"]},{"title":"What you get","items":["Contact Details: First name, last name, full name and LinkedIn URL","Role and Location: Job title, start date, seniority, city, region and country","Email and Company: Work email in full mode, the company LinkedIn page and a search status"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["30 Credits for a Preview: Basic profile data without email, per lead","100 Credits for Full Data: A full profile with work email, per lead","No Charge for No Result: When a search finds nothing you pay nothing"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company domain. Output: 14 columns, the same grid you work in inside Datablist.","groups":["Your data","Added by Waterfall People Search"],"headers":["Company domain","Full Name #1","Job Title #1","Work Email Address #1","Seniority #1","LinkedIn URL #1","City #1","Country #1","First Name #1","Last Name #1","LinkedIn Summary #1","Job Start Date #1","Region #1","Company LinkedIn Page #1","Search Status"],"caption":"Sample input and output.","scrollHint":"","footer":"Scroll sideways to see all 15 columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many leads you want to find and we'll show you the cheapest way to get them.","unitsLabel":"Leads to find","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which results type?","modes":["Full profile with email (100 credits per lead)","Preview without email (30 credits per lead)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall People Search costs 30 credits per lead for preview data and 100 credits per lead for a full profile with work email, and nothing when no result is found. The estimate assumes every lead you enter is found, so your real cost is lower when some searches return no result. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"rateHint":"= {credits} credits at {rate} credits per {unit}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add company domains and get the right contacts at each one.","steps":[{"label":"Step 1","title":"Import your companies","body":"Upload a CSV or Excel file with one company domain or website per row. 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Full Profile with email (default): 100/lead."],["Allowed Cache Age","Text","Results are cached to avoid paying multiple times for the same search. Configure the cache limit here. Default to 30 days."],["Waterfall Searches","MultipleValues","Datablist will search using Search #1 criterias. If no result, it will use Search #2 criterias, etc. You can define up to 3 fallbacks"]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain or website. Ex: google.com, https://www.hubspot.com/. Note: Use the Find Company domains from Company names enrichment if you only have company names."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","-"],["Job Start Date #1","Text","-"],["Work Email Address #1","Email","-"],["Seniority #1","Text","One of: owner, cxo, vp, director, manager, senior, entry, intern."],["City #1","Text","-"],["Region #1","Text","-"],["Country #1","Text","-"],["Company LinkedIn Page #1","Url","-"],["Search Status","Text","One of: found, no_result, missing_data, error"]]}]},"cta":{"title":"Stop Doing Manually
What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be.
38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"How To Get a Full Lead List From LinkedIn in 2026 (Emails Included)","imageAlt":"How To Get a Full Lead List From LinkedIn in 2026 (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find leads at the companies on your list by company domain. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Waterfall People Search","guideFaq":{"eyebrow":"","title":"Frequently Asked Questions","description":"","items":[]}},"EnrichmentWebsiteStatusChecker":{"metadata":{"title":"Website Status & Parked Domain Checker - Find Dead, Redirected and Parked Websites | Datablist","description":"Check if websites are online, dead, redirected or parked in bulk, and capture the final URL. 0.20 credits per check, 0.60 with a proxy."},"tabs":["Overview","How to use"],"hero":{"title":"Website Status & Parked Domain Checker","description":"Turn a list of website URLs into online, redirected, parked or unreachable statuses, with the final URL for each. 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Datablist는 회사명을 선별된 회사 데이터베이스와 대조한 후, 찾지 못한 회사명은 실시간 Google 검색으로 조회합니다.","cards":[{"title":"제공할 데이터","items":["회사명: 예: Datablist, 행당 하나씩","선택 사항: 대상 국가: 매칭 범위를 좁히며, 목록별 또는 행별로 설정할 수 있습니다","그 외에는 불필요: 도메인, URL, LinkedIn 페이지가 필요하지 않습니다"],"links":["전체 입력 항목 보기"]},{"title":"받게 되는 결과","items":["회사 도메인 및 전체 URL: 예: datablist.com 및 https://www.datablist.com","도메인 신뢰도: 모든 행에 높음, 보통, 낮음 또는 매우 낮음으로 표시","상태: success, not_found 또는 empty_name"],"links":["샘플 결과 보기","전체 출력 항목 보기"]},{"title":"요금 산정 방식","items":["데이터베이스 매칭당 1크레딧: 가장 빠른 경로이며 대부분의 회사명이 이 방식으로 처리됩니다","Google 조회당 2.5크레딧: 도메인 검색 성공 여부와 관계없이 부과됩니다","Google 결과 48시간 캐시: 설정 변경 후 다시 실행하면 1크레딧이 부과됩니다"],"links":["크레딧 운영 방식"]}]},"sample":{"eyebrow":"샘플 데이터","title":"결과 예시","description":"입력: 회사명 및 대상 국가. 출력: 회사 도메인, 도메인 신뢰도 및 상태.","groups":["내 데이터","회사명으로 도메인 찾기에서 추가됨"],"headers":["회사명","대상 국가","회사 도메인","도메인 신뢰도","상태"],"caption":"샘플 데이터입니다. 이름과 회사는 가상이며 실제 결과는 달라질 수 있습니다.","footer":""},"calculator":{"eyebrow":"계산기","title":"비용은 얼마인가요?","description":"조회할 회사명 수를 입력하시면 가장 경제적으로 처리할 수 있는 방법을 알려드립니다.","unitsLabel":"조회할 회사명 수","workflowLabel":"어떤 workflow을 사용하시겠습니까?","workflows":["회사 데이터셋만 사용(매칭당 1크레딧)","데이터셋 조회 후 Google 대체 검색(Google 조회당 2.5크레딧)"],"matchRateLabel":"데이터베이스에서 매칭될 것으로 예상하는 회사명 비율","needsLabel":"다음 기능도 필요하신가요?","needs":["API/MCP를 통한 실행","데이터 보강 자동화 설정"],"resultLabels":["추천 플랜","크레딧 추가 구매","보유하게 될 크레딧"],"totalLabel":"이번 달 총액","cta":"무료로 사용해 보기","note":"신용카드 불필요","pricingLink":"요금 보기","creditsTitle":"크레딧 운영 방식","creditsBody":"1,000크레딧은 $1이므로 크레딧당 비용은 0.1센트입니다. 데이터베이스 매칭은 1크레딧이며 도메인이 반환된 경우에만 부과됩니다. Google 대체 조회는 2.5크레딧이며 결과 반환 여부와 관계없이 부과되므로, 두 방식의 사용 비율에 따라 청구 금액이 달라집니다. 위의 매칭률은 Datablist에서 제공하는 수치가 아니라 사용자가 입력한 예상치입니다. 먼저 수백 개의 회사명으로 샘플을 실행한 뒤 실제 결과를 바탕으로 설정하시기 바랍니다. Google 결과는 48시간 동안 캐시되므로, 해당 기간 내에 설정을 변경하고 다시 실행하면 행당 2.5크레딧이 아닌 1크레딧이 부과됩니다. 플랜 크레딧은 매월 갱신되며 사용하지 않은 크레딧은 초기화됩니다. 추가 구매한 크레딧은 만료되지 않습니다.","datasetHint":"= 매칭된 도메인당 1크레딧으로 총 {credits}크레딧","googleHint":"= 총 {credits}크레딧: 데이터베이스 매칭 {matched}건에 건당 1크레딧, Google 조회 {googled}건에 건당 2.5크레딧","planPrice":"{plan}: 월 {price}","growthReason":"필수: API/MCP 액세스 및 자동화는 Growth 플랜부터 제공됩니다.","packageLabel":"{credits}크레딧","stackedPackageLabel":"{count}× {credits}크레딧","packagePrice":"{package} (+{price})","savings":"추가 구매 시 기본 요금에서 {amount}({discount}%)를 절약했습니다","leftover":"다른 데이터 보강에 사용할 수 있는 잔여 크레딧: {credits}","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"프로세스","title":"작동 방식","description":"Datablist는 가장 저렴하고 신뢰할 수 있는 소스부터 가장 광범위한 소스까지 순차적으로 조회하고, 검색 결과에 점수를 부여합니다.","steps":[{"label":"1단계","title":"회사명 업로드","body":"행마다 회사명 하나가 포함된 CSV 또는 Excel 파일을 가져옵니다. 정리되지 않은 회사명도 괜찮습니다. 목록에 여러 국가의 회사가 포함되어 있다면 국가 열을 추가하세요. Datablist가 이를 사용해 각 매칭의 범위를 좁힙니다."},{"label":"2단계","title":"데이터베이스 우선, 그다음 Google","body":"Datablist는 회사명을 선별된 회사 데이터셋과 대조합니다. 이 방식은 빠르며 매칭당 1크레딧이 부과됩니다. 데이터셋에서 찾지 못한 회사명은 디렉터리와 소셜 네트워크를 제외하는 실시간 Google 검색으로 넘어갑니다."},{"label":"3단계","title":"모든 매칭 결과에 신뢰도 부여","body":"각 행에는 높음, 보통, 낮음 또는 매우 낮음의 신뢰도가 표시됩니다. 신뢰도가 높은 결과는 자동으로 승인하고, 중간 수준의 결과는 검토하며, 나머지는 추가 컨텍스트와 함께 AI Agent로 보내세요."}]},"customers":{"title":"빠르게 성장하는 스타트업과 Fortune 500 팀이 신뢰합니다","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Datablist가 몇 초 만에 처리하는 일을 더 이상 수작업으로 하지 마세요","body":"Datablist를 사용해 보고 workflow 자동화가 얼마나 간편한지 확인하세요. 이미 38,000명 이상의 사용자가 경험하고 있습니다!","label":"문의하기"},"templates":{"eyebrow":"Workflows","title":"템플릿","description":"회사 도메인을 기반으로 구축된 사전 구성 workflow을 바로 사용해 보세요.","cards":[{"title":"고급 웹사이트 검색기","description":"데이터셋과 Google에서 모두 찾지 못한 회사명을 조회합니다.","imageAlt":""},{"title":"회사 데이터 보강","description":"회사명에서 시작해 전체 기업 특성 데이터를 확보합니다.","imageAlt":""},{"title":"회사명으로 LinkedIn 찾기","description":"회사명을 해당 회사의 LinkedIn 페이지와 연결합니다.","imageAlt":""}]},"tutorials":{"eyebrow":"가이드","title":"관련 튜토리얼","description":"상세한 단계별 가이드를 통해 최신 workflows를 알아보세요.","cards":[{"title":"회사명으로 도메인 찾기: 3가지 대량 처리 방법","imageAlt":"회사명으로 도메인 찾기: 3가지 대량 처리 방법"},{"title":"회사명으로 회사 데이터를 보강하는 방법","imageAlt":"회사명으로 회사 데이터를 보강하는 방법"},{"title":"회사 도메인 검색을 위한 Clearbit 대안","imageAlt":"회사 도메인 검색을 위한 Clearbit 대안"}]},"faq":{"eyebrow":"FAQ","title":"자주 묻는 질문","description":"매칭률, 요금 및 모호한 회사명 처리에 관한 일반적인 질문에 답변해 드립니다.","items":[{"question":"회사명 500개의 도메인을 찾는 데 비용이 얼마나 드나요?","answer":"각 회사명이 어떤 경로로 처리되는지에 따라 달라집니다. 데이터베이스 매칭은 1크레딧이며 도메인이 반환된 경우에만 부과되므로, 500건이 모두 성공적으로 매칭되면 약 500크레딧이 필요합니다. Google 대체 조회에는 2.5크레딧이 부과되며, 결과 검색 여부와 관계없이 과금됩니다. 위 계산기를 사용하여 예상 처리 비율에 따른 비용을 확인하세요."},{"question":"도메인 신뢰도 점수는 실제로 무엇을 의미하나요?","answer":"Datablist가 해당 도메인이 그 회사명의 도메인이라고 얼마나 확신하는지를 나타냅니다. 높음, 보통, 낮음 또는 매우 낮음으로 표시됩니다. 핵심은 대규모 결과를 우선순위에 따라 분류하는 것입니다. 높음은 자동으로 승인하고, 보통은 후속 단계에서 사용하기 전에 직접 확인하며, 낮음과 매우 낮음은 email을 보내지 말고 더 강력한 검색 방식으로 처리하세요."},{"question":"\"Dove\"나 \"United\"처럼 모호한 회사명은 어떻게 처리하나요?","answer":"이름만으로는 실제로 모호하며, 어떤 조회 방식도 자체적으로 정확히 판별할 수 없습니다. 두 가지 방법이 도움이 됩니다. 목록별 또는 행별로 대상 국가를 설정하여 후보 범위를 좁히세요. 그래도 남은 회사명은 도시, 업종 또는 설명 등의 추가 컨텍스트와 함께 AI Agent에서 실행하면 어떤 매칭이 적합한지 판단합니다."},{"question":"조회 결과가 없으면 어떻게 되나요?","answer":"상태 출력은 not_found로 표시되며, 입력 셀이 비어 있으면 empty_name으로 표시됩니다. 해당 행만 표시되도록 보기를 필터링한 후 다시 처리하세요. 국가를 추가하거나, 데이터베이스만 실행했다면 Google 대체 검색을 활성화하거나, 더 많은 컨텍스트와 함께 AI Agent로 이동할 수 있습니다."},{"question":"회사 웹사이트 대신 디렉터리 페이지가 표시되는 이유는 무엇인가요?","answer":"기본적으로 Datablist는 Google 결과의 점수를 계산할 때 루트가 아닌 URL과 Crunchbase 같은 알려진 디렉터리, LinkedIn 및 Facebook 같은 소셜 네트워크를 제외합니다. 특정 업종의 디렉터리가 계속 포함된다면 ‘제외할 도메인’에 추가하세요. 기본 제외 목록과 함께 해당 도메인도 제외됩니다."},{"question":"각 행마다 다른 대상 국가를 설정할 수 있나요?","answer":"예. ‘항목별 대상 국가 정의’를 활성화하면 대상 국가 입력란이 나타나며, 이를 열에 매핑할 수 있습니다. 허용되는 형식은 ISO 3166 코드(FR, USA) 또는 영어로 된 전체 국가명(Portugal)입니다. 국가가 누락되었거나 유효하지 않은 행에는 전역 대상 국가 설정이 적용됩니다."},{"question":"데이터 보강을 다시 실행하면 요금이 두 번 부과되나요?","answer":"Google의 경우에는 그렇지 않습니다. 결과가 48시간 동안 캐시되므로 해당 기간 내에 설정을 변경하고 다시 실행하면 행당 2.5크레딧이 아닌 1크레딧이 부과됩니다. 이미 처리된 행의 재처리를 방지하려면 도메인이 비어 있는 행만 표시되도록 보기를 필터링한 후 모든 보기 항목에 대해 실행하세요."},{"question":"도메인을 확보한 다음에는 무엇을 해야 하나요?","answer":"도메인을 확보하면 나머지 stack을 활용할 수 있습니다. 회사 데이터 보강 기능은 도메인을 바탕으로 업종, 규모, 위치 및 설립 연도를 추가합니다. Waterfall Email Finder는 이름과 도메인을 사용하여 검증된 주소를 반환합니다. 기술 데이터 보강 기능은 사이트에서 사용 중인 stack을 확인합니다."}]},"related":{"eyebrow":"연동","title":"관련 데이터 보강","description":"회사 도메인 검색기를 Datablist의 보완 데이터 도구와 함께 사용하세요.","cards":[{"title":"회사 데이터 보강","description":"도메인을 업종, 규모, 위치 및 설립 연도 데이터로 변환합니다.","imageAlt":""},{"title":"Waterfall Email Finder","description":"도메인과 이름을 사용하여 검증된 email 주소를 찾습니다.","imageAlt":""},{"title":"회사명 정리 도구","description":"조회 전에 LLC와 Inc를 제거하고 대소문자 표기를 수정합니다.","imageAlt":""}],"action":"모든 데이터 보강 보기"},"free":{"eyebrow":"무료 도구","title":"먼저 무료로 사용해 보세요","description":"규모를 확대하기 전에 몇 개의 행으로 관련 도구를 테스트할 수 있는 무료 버전입니다.","cards":[{"title":"무료 도메인 검색기","description":"회사명을 붙여 넣고 해당 웹사이트를 찾으세요. 무료이며 신용카드가 필요하지 않습니다.","imageAlt":""},{"title":"무료 회사명 정리 도구","description":"회사명을 표준화합니다. 법인 접미사를 제거하고 대소문자를 수정하며 중복을 표시합니다.","imageAlt":""},{"title":"무료 Email Finder","description":"이름과 회사 정보로 업무용 email을 찾으세요. 무료로 사용해 볼 수 있습니다.","imageAlt":""}],"action":"모든 무료 도구 보기"},"guide":{"hero":{"title":"Datablist의 회사명으로 도메인 찾기 사용 방법","description":"코드 없이 6단계로 내 목록에 Datablist의 회사명으로 도메인 찾기 기능을 실행하세요. 가이드 다음에는 설정 참고 자료와 자주 묻는 질문에 대한 답변이 제공됩니다.","trust":["간편한 사용","기술 설정 불필요","완전한 노코드"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"섹션으로 이동","items":["단계별 가이드","설정 참고 자료","관련 문서","자주 묻는 질문"]},"title":"단계별 가이드","reference":{"title":"설정 참고 자료","description":"모든 설정, 입력 및 출력에 대한 참고 자료입니다. 위 단계별 가이드에서 시작하는 데 필요한 모든 내용을 확인할 수 있습니다.","groups":[{"title":"설정","rows":[["Workflow","선택","회사 데이터셋만 사용하거나 데이터셋에서 찾지 못한 회사명을 Datablist가 Google에서 검색하도록 설정합니다"],["대상 국가","텍스트","검색 범위를 한 국가로 좁힙니다. 데이터셋을 필터링하고 Google 검색 국가를 설정합니다"],["항목별 대상 국가 정의","체크박스","행마다 국가를 설정할 수 있도록 대상 국가 입력란을 추가합니다"],["루트가 아닌 웹사이트 허용","체크박스","호스팅 플랫폼의 회사 페이지와 같이 루트 도메인이 아닌 결과를 허용합니다"],["다음 도메인 제외","긴 텍스트","기본 제공되는 디렉터리 및 소셜 네트워크 목록에 더해 제외할 도메인을 쉼표로 구분하여 입력합니다"],["Google 캐시 결과만 처리","체크박스","저장된 Google 결과만 재사용하고 새로운 실시간 검색은 실행하지 않으며 데이터셋 결과를 건너뜁니다"]]},{"title":"입력","rows":[["회사명","텍스트","조회할 회사의 이름입니다. 예: google"],["대상 국가","텍스트","‘항목별 대상 국가 정의’가 활성화된 경우에만 표시됩니다. ISO 3166 코드 또는 영어 국가명을 입력합니다"]]},{"title":"출력","rows":[["회사 도메인","텍스트","검색된 회사 도메인입니다. 예: google.com"],["회사 전체 URL","URL","검색된 회사의 전체 URL입니다. 예: https://www.google.com"],["도메인 신뢰도","텍스트","매칭 강도: 높음, 보통, 낮음 또는 매우 낮음"],["상태","텍스트","success, not_found 또는 empty_name 중 하나"]]}]},"cta":{"title":"Datablist가 몇 초 만에 처리하는 일을 더 이상 수작업으로 하지 마세요","body":"Datablist를 사용해 보고 workflow 자동화가 얼마나 간편한지 확인하세요. 이미 38,000명 이상의 사용자가 경험하고 있습니다!","label":"문의하기"},"articles":{"title":"관련 문서","cards":[{"title":"회사명으로 도메인 찾기: 3가지 대량 처리 방법","imageAlt":"회사명으로 도메인 찾기: 3가지 대량 처리 방법"},{"title":"회사명으로 회사 웹사이트 찾기","imageAlt":"회사명으로 회사 웹사이트 찾기"},{"title":"회사명으로 회사 데이터를 보강하는 방법","imageAlt":"회사명으로 회사 데이터를 보강하는 방법"}]},"steps":[{"title":"1단계: 가입 및 데이터 업로드","paragraphs":["먼저 <a href=\"signup\">Datablist.com</a>에 가입하세요","그런 다음 회사명 목록이 포함된 CSV 또는 Excel 파일을 업로드하세요"],"imageAlts":["회사명으로 도메인 찾기 - 가입","회사명으로 도메인 찾기 - 회사 목록 업로드"]},{"title":"2단계: 회사 도메인 검색 데이터 보강 열기","paragraphs":["1. 상단 메뉴에서 Enrich를 클릭합니다","2. Companies 탭을 엽니다","3. Find Company Domain from Company Name을 선택합니다."],"imageAlts":["회사명으로 도메인 찾기 - 데이터 보강 라이브러리"]},{"title":"3단계: Workflow 설정","paragraphs":["Workflow에서 \"Use only companies dataset\"을 선택합니다. 검색된 도메인당 1크레딧이 부과되는 가장 저렴한 경로입니다.","Target Country를 설정하거나, 각 행에 자체 국가 열이 있는 경우 Define Target Country By Item을 선택합니다.","데이터셋에서 찾지 못한 회사명까지 처리하려면 Google workflow을 선택하세요. 그러면 Datablist가 나머지 회사명을 실시간으로 검색하며, 도메인 반환 여부와 관계없이 조회당 2.5크레딧이 부과됩니다."],"imageAlts":["회사명으로 도메인 찾기 - 데이터베이스 Workflow 설정","회사명으로 도메인 찾기 - Google Workflow 설정"]},{"title":"4단계: 회사명 열 매핑","paragraphs":["1. 회사명이 포함된 열을 Input Property로 설정합니다","2. Continue to outputs configuration을 클릭합니다"],"imageAlts":["회사명으로 도메인 찾기 - 입력 열 매핑"]},{"title":"5단계: 도메인 출력 선택","paragraphs":["1. ⊕ 아이콘 또는 Add all 3 outputs to collection을 사용하여 출력 항목을 컬렉션에 추가합니다.","2. Instant Run을 클릭합니다","도메인 신뢰도와 상태를 유지하세요. 모든 행을 동일하게 신뢰하는 대신 실행 후 결과를 분류할 수 있게 해주는 항목입니다."],"imageAlts":["회사명으로 도메인 찾기 - 출력 설정"]},{"title":"6단계: 데이터 보강 대량 실행","paragraphs":["마지막으로 버튼 오른쪽의 펼침 아이콘을 클릭하여 실행 설정을 구성합니다. 다음 옵션 중에서 선택할 수 있습니다.","• 처음 10개 항목에 실행: 전체 실행 전에 결과를 확인하는 데 적합합니다","• 처음 100개 항목에 실행: 더 큰 샘플을 검증하려는 경우 유용합니다","• 처음 {X}개 항목에 실행: 처리할 항목 수를 직접 선택할 수 있습니다","• 모든 보기 항목에 실행: 전체 목록을 처리합니다(필터를 활성화한 경우 현재 보기에 표시된 항목)","원하는 옵션을 선택한 후 Run on X items를 클릭합니다","몇 분 이내에 회사명 옆에 검증된 도메인 열이 생성되어 다음 데이터 보강에 사용할 수 있습니다.","도메인 신뢰도를 기준으로 정렬하거나 필터링한 다음, 낮음, 매우 낮음 및 not_found 행을 도시나 업종 같은 추가 컨텍스트와 함께 AI Agent로 보내세요."],"imageAlts":["회사명으로 도메인 찾기 - 실행 설정","회사명으로 도메인 찾기 - 웹사이트 검색기 실행","회사명으로 도메인 찾기 - 데이터베이스 결과","회사명으로 도메인 찾기 - AI Agent 결과"]}],"faq":{"title":"자주 묻는 질문","items":[{"question":"두 가지 workflow 옵션의 차이점은 무엇인가요?","answer":"회사 데이터셋 전용 옵션은 회사명을 선별된 회사명-도메인 데이터셋과 대조합니다. 빠른 경로이며 1크레딧이 들고 매칭에 성공한 경우에만 과금됩니다. 두 번째 옵션은 데이터셋에서 매칭하지 못한 회사명을 실시간 Google 검색으로 조회합니다. 조회당 2.5크레딧이 부과되며 도메인 반환 여부와 관계없이 과금됩니다."},{"question":"하나의 회사명과 여러 도메인이 매칭되면 어떤 도메인이 제공되나요?","answer":"트래픽이 가장 많은 도메인이 제공됩니다. 원하는 방식이 아니라면 대상 국가로 범위를 좁히는 것이 가장 효과적입니다. 동률 여부를 판단하기 전에 데이터셋이 먼저 필터링되기 때문입니다."},{"question":"‘루트가 아닌 웹사이트 허용’은 어떤 기능인가요?","answer":"기본적으로 Datablist는 루트 도메인이 아닌 Google 결과를 거부합니다. 따라서 directory.com/mycompany 같은 디렉터리 페이지가 목록에 포함되지 않습니다. 다만 hostingplatform.com/mycompanypage처럼 플랫폼 내에 사이트가 있는 실제 회사도 누락될 수 있습니다. 목록에 소규모 기업이 많다면 이 옵션을 활성화하세요."},{"question":"48시간 Google 캐시는 크레딧에 어떤 영향을 주나요?","answer":"Datablist는 Google 검색 결과를 48시간 동안 캐시합니다. 해당 기간 내에 ‘루트가 아닌 웹사이트 허용’ 또는 ‘다음 도메인 제외’를 변경하고 다시 실행하면 캐시에서 결과를 가져오므로 행당 2.5크레딧이 아닌 1크레딧이 부과됩니다. 따라서 두 설정을 저렴하게 조정할 수 있습니다."},{"question":"‘Google 캐시 결과만 처리’는 무엇을 위한 기능인가요?","answer":"이미 비용을 지불한 Google 결과로 실행 범위를 제한하고 데이터셋 결과는 모두 건너뜁니다. 새로운 실시간 검색에 비용을 쓰지 않고 이전 실행 결과를 다른 설정으로 다시 평가할 때 사용하세요."},{"question":"대상 국가에는 어떤 형식이 허용되나요?","answer":"FR 같은 ISO 3166 Alpha-2 코드, USA 같은 Alpha-3 코드 또는 Portugal 같은 영어 전체 국가명이 허용됩니다. 행의 국가가 누락되었거나 유효하지 않으면 Datablist는 전역 대상 국가 설정을 적용합니다."},{"question":"실패한 행만 다시 실행하려면 어떻게 해야 하나요?","answer":"상태 또는 신뢰도가 낮은 매칭의 도메인 신뢰도를 기준으로 보기를 필터링한 다음 ‘모든 보기 항목에 실행’을 선택하세요. 필터링된 보기에 포함된 행만 처리되므로 이미 해결된 행에 다시 비용을 지불하지 않아도 됩니다."},{"question":"AI Agent는 언제 사용해야 하나요?","answer":"회사명이 모호하고 조회 기능에서 사용할 수 없는 컨텍스트를 보유하고 있을 때 사용하세요. 데이터셋과 Google은 모두 회사명만을 기반으로 작동합니다. AI Agent는 도시, 업종 또는 설명을 함께 입력받아 회사를 조사하고, 신뢰도 점수 및 설명과 함께 도메인을 반환합니다. 사용량 기반이며 행당 비용이 더 높으므로 나머지 결과에만 활용하는 것이 좋습니다."}]}},"corner":{"title":"무료로 사용해 보기","body":"회사명 목록을 검증된 도메인으로 대량 변환하세요. 이미 38,000명 이상의 사용자가 Datablist를 이용하고 있습니다.","label":"무료로 사용해 보기","close":"CTA 닫기"}},"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. 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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. 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Output: Phone Number and Country.","groups":["Your data","Added by Waterfall Phone Finder"],"headers":["LinkedIn Profile URL","Phone Number","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many phone numbers you want to find and we'll show you the cheapest way to get them.","unitsLabel":"Phone numbers to find","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. Waterfall Phone Finder costs 500 credits per phone number found, and nothing when no number is found. The estimate assumes every profile returns a number, so your real cost is lower when some return no result. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","phoneHint":"= {credits} credits at {rate} credits per phone number found","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add LinkedIn URLs and Datablist checks several data providers for you.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with one LinkedIn profile URL per row. Use public profile URLs like linkedin.com/in/name. Sales Navigator URLs are not supported. Keep your original columns next to the results."},{"label":"Step 2","title":"The waterfall runs","body":"Datablist asks the first data provider for the number. If it comes back empty, the next provider tries, and so on until one finds a match. Several sources together cover more roles and regions than one, and the whole process runs in the background."},{"label":"Step 3","title":"Get numbers, pay for hits","body":"Each row gets a phone number in international format, its country code and a status. You only pay for the numbers found. A row with no result costs nothing, so a miss never hurts your budget."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Business Number Extractor","description":"Visit a company website and extract its phone number.","imageAlt":""},{"title":"Business Owner Finder","description":"Find the founder, CEO or owner of a company from its website.","imageAlt":""},{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Waterfall Phone Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""},{"title":"LinkedIn Profile Finder from Name","description":"Find a prospect's LinkedIn profile URL from their name.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about coverage, billing and how the waterfall works."},"guide":{"hero":{"title":"How to use Datablist's Waterfall Phone Finder","description":"Run Datablist's Waterfall Phone Finder on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Allowed Cache Age","Select","Reuse results up to 30 days old (default), 2 months or 6 months; choose No cache for a new lookup. Reused cached results are not charged again."],["Custom Waterfall","Checkbox","Use your own provider API keys and customize the provider order."],["Waterfall Sequence","Sequence","With Custom Waterfall, add Enrow, Prospeo, Findymail, Wiza or Full Enrich with an API key for each provider."]]},{"title":"Inputs","rows":[["LinkedIn Profile","Text","Person's Profile URL should be in the format of https://linkedin.com/in/xxx. This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Phone Number","Phone","Phone Number found in international format (with country prefix)."],["Country","Text","Alpha-2 country code for the phone Number. See Wikipedia page for more information on ISO 3166-1 alpha-2."],["Provider","Text","Available with Custom Waterfall. Identifies which phone-finding provider returned the result."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)","imageAlt":"2 New Ways to Find Phone Numbers With Datablist (Verified & AI)"},{"title":"How To Find Someone's Phone Number From Their Name (Step-by-Step)","imageAlt":"How To Find Someone's Phone Number From Their Name (Step-by-Step)"},{"title":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min","imageAlt":"EASY & FAST: How To Find Emails From LinkedIn Profile URLs in 3min"}]}},"corner":{"title":"Try it for Free","body":"Find direct phone numbers from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentWaterfallPersonalEmailFinder":{"metadata":{"title":"Waterfall Personal Email Finder - Find Personal Emails in Bulk | Datablist","description":"Find personal email addresses from LinkedIn profile URLs in bulk. Datablist runs several email providers in sequence and charges 75 credits only for each email found."},"breadcrumb":"Waterfall Personal Email Finder","tabs":["Overview","How to use"],"hero":{"title":"Waterfall Personal Email Finder","description":"Turn a list of LinkedIn profile URLs into personal email addresses in bulk. Several providers run in sequence, and you only pay for the emails found.","trust":["75 Credits per Email Found","LinkedIn URL to Personal Email","500 Free Credits to Try"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Try it with 500 free credits","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Waterfall Personal Email Finder takes a LinkedIn profile URL and searches several email providers one after the other. It stops at the first personal email it finds, so you pay only for results.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: Standard format, linkedin.com/in/name","One URL per row: Import a CSV or Excel file","No Sales Navigator URLs: Standard profile URLs only"],"links":["See full input reference"]},{"title":"What you get","items":["Email: A personal email address when found","Run Status: No result, invalid data, or missing data","Credits Used: Shown in the summary after every run"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["75 Credits per Email Found: Charged only when an email is returned","0 Credits if No Result: Empty rows cost nothing","About $0.075 per Email: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. Output: Email.","groups":["Your data","Added by Waterfall Personal Email Finder"],"headers":["LinkedIn Profile URL","Email"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many personal emails you expect to find and we'll show you the cheapest way to pay for them.","unitsLabel":"Personal emails found","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. You are charged 75 credits only when a personal email is found, never for an empty row. The estimate assumes every unit you enter is a found email, so a run with fewer finds costs less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","emailHint":"= {credits} credits at {rate} credits per found personal email","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"One LinkedIn URL in, one personal email out, with several providers searching behind it.","steps":[{"label":"Step 1","title":"Upload your LinkedIn URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Use standard profile links such as linkedin.com/in/jane-doe. Sales Navigator links are not supported."},{"label":"Step 2","title":"Providers search in sequence","body":"Datablist asks the first provider for a personal email. If nothing comes back, the next provider tries, and the search continues until a match is confirmed or the sequence ends. One provider rarely covers everyone, so the sequence raises your chances."},{"label":"Step 3","title":"Get one email column","body":"Map the LinkedIn column, add the Email output and run. Rows with no personal email are marked as no result and are not charged. You pay 75 credits for each email found."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Employee & Talent Finder","description":"Find employees at a list of companies.","imageAlt":""},{"title":"Founders Finder","description":"Find the founders behind a list of companies.","imageAlt":""},{"title":"Email First Line","description":"Write an email first line from a LinkedIn description.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Waterfall Personal Email Finder with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Reach anyone you want by using 20+ email finders.","imageAlt":""},{"title":"LinkedIn Profile Scraper","description":"Scrape all details from LinkedIn profiles without risking your account.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Get phone numbers from a LinkedIn profile URL and pay only for results.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. 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This enrichment doesn't work with Sales Navigator Profile URL format."]]},{"title":"Outputs","rows":[["Email","Email","Email Found"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Personal Email Addresses (Full Guide)","imageAlt":"How To Find Personal Email Addresses (Full Guide)"},{"title":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)","imageAlt":"How To Find a Candidate's Email Address as a Recruiter (Full Guide)"},{"title":"The Best Methods to Find Someone's Email Address in 2025","imageAlt":"The Best Methods to Find Someone's Email Address in 2025"}]}},"corner":{"title":"Try it for Free","body":"Find personal emails from LinkedIn profile URLs in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentLinkedInProfileScraper":{"metadata":{"title":"LinkedIn Profile Scraper - Extract LinkedIn Profile Data in Bulk | Datablist","description":"Turn a list of LinkedIn or Sales Navigator profile URLs into full contact records in bulk. 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It reads the public page directly, so Datablist never needs your LinkedIn credentials.","cards":[{"title":"What you give","items":["LinkedIn Profile URL: e.g. linkedin.com/in/janedoe","Or a Sales Navigator URL: e.g. linkedin.com/sales/lead/xxxx","Nothing else: No name, no company, no login"],"links":["See full input reference"]},{"title":"What you get","items":["Identity & Location: Name, headline, summary, city, state, country","Work History: Up to 10 experiences with titles, dates, and descriptions","Current Company Data: Website, industry, employee range, and description"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["25 Credits per Profile: Fresh data pulled live from LinkedIn","20 Credits with Cached Profiles: Enable cached results when available; fresh fallback can cost 25","Charged per Profile: Not per field, however many you return"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: LinkedIn Profile URL. 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A profile costs 25 credits for fresh data, or 20 if you allow cached profiles. Unlike pay-per-result enrichments, you are charged for every profile the scraper processes, so clean malformed URLs out of your list before a large run. Plan credits renew every month and reset if unused, so they are sized for steady, ongoing use. Top-up credits never expire and only kick in once your monthly balance runs out, which makes them the better fit for one-off spikes.","profileHint":"= {credits} credits at {rate} credits per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Datablist loads each public LinkedIn page, parses it, and writes the fields you picked straight into your collection.","steps":[{"label":"Step 1","title":"Upload your profile URLs","body":"Import a CSV or Excel file with one LinkedIn profile URL per row. Standard profile URLs and Sales Navigator lead URLs both work, and you can mix them in the same column."},{"label":"Step 2","title":"Datablist reads the public page","body":"Datablist loads and parses each public profile itself. It never asks for your LinkedIn credentials and never acts as your account, which is why running it cannot get your profile restricted."},{"label":"Step 3","title":"Up to 40 fields land in your list","body":"Choose the outputs you want and Datablist writes them into new columns: name, headline, summary, location, work history, education, and firmographics for the current employer."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made workflows built around LinkedIn profile data.","cards":[{"title":"Employee & Talent Finder","description":"Find people at a company, filtered by role.","imageAlt":""},{"title":"Founders Finder","description":"Surface the founders behind a list of companies.","imageAlt":""},{"title":"Company Name to LinkedIn","description":"Resolve company names to their LinkedIn pages.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Scrape LinkedIn Leads","imageAlt":"How To Scrape LinkedIn Leads"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the LinkedIn Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Find verified emails from a LinkedIn URL using 20+ providers at once.","imageAlt":""},{"title":"Waterfall Phone Finder","description":"Unlock direct mobile numbers from the same LinkedIn profile URLs.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public company data from LinkedIn company page URLs.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about account safety, billing, and the data you get back."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Profile Scraper","description":"Run Datablist's LinkedIn Profile Scraper on your own list in 6 steps, no code needed. 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Cannot be combined with Include LinkedIn Internal ID (URN) or Include Pictures"],["Experiences to return","Select","How many work experiences to return: 3, 5, or 10. Defaults to 3"],["Educations to return","Select","How many education entries to return: 1, 3, or 5. Defaults to 1"]]},{"title":"Inputs","rows":[["Person's LinkedIn Profile","Text","The profile URL. Works with linkedin.com/in/xxx and Sales Navigator lead URLs"]]},{"title":"Outputs","rows":[["LinkedIn Profile URL Normalized","Url","The clean public profile URL, in the format linkedin.com/in/xxx"],["First Name / Last Name / Full Name","Text","The name on the profile, split and combined"],["Headline","Text","The tagline shown under the name on the profile"],["Summary","Text","The longer About blurb written by the person"],["City / State / Country / Country Name","Text","Location fields, with the country as a 2-letter ISO code and in words"],["Location","Text","The full location string as shown on the profile"],["Title (Current or last experience)","Text","Job title of the current or most recent role"],["Description (Current or last experience)","Text","The role description, where the profile has one"],["Start Date / End date (Current or last)","Date","Role dates. The end date is empty while the role is still active"],["Company Name (Current or last experience)","Text","Employer name on the current or most recent role"],["Company page URL / website","Text","The employer's LinkedIn page and its own website"],["Company description / industry / employee range","Text","Firmographics for the current employer, e.g. 11-50"],["Title, dates and company (Experience #2 to #10)","Text","Past roles, up to the number set in Experiences to return"],["Education entries","Text","School, degree, and dates, up to the number set in Educations to return"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Details From LinkedIn Profiles","imageAlt":"How To Scrape The Details From LinkedIn Profiles"},{"title":"How To Find Email Addresses From a LinkedIn Profile URL","imageAlt":"How To Find Email Addresses From a LinkedIn Profile URL"},{"title":"How To Find LinkedIn Profiles From a Name","imageAlt":"How To Find LinkedIn Profiles From a Name"}]}},"corner":{"title":"Try it for Free","body":"Scrape every detail from your LinkedIn profile URLs. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentCompanyNameCleaner":{"metadata":{"title":"Company Name Cleaner - Clean Company Names in Bulk | Datablist","description":"Clean messy company names in bulk with AI. Remove LLC, Inc. and GmbH, fix casing and standardize names for outreach and your CRM. 0.5 credits per name."},"breadcrumb":"Company Name Cleaner","tabs":["Overview","How to use"],"hero":{"title":"Company Name Cleaner","description":"Fix messy company names in bulk. AI removes legal forms like LLC and GmbH, fixes casing and standardizes every name.","trust":["0.5 Credits per Name","Removes Legal Form","Perfect for Outreach"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"],"primary":"Clean 1,000 company names free","guide":"Check Full Guide","note":"No credit card needed"},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Company Name Cleaner uses AI to turn raw company names into short, conversational names ready for outreach. It understands context instead of matching a fixed list of suffixes.","cards":[{"title":"What you give","items":["Company Name: The column with your messy names","Keep Legal Forms: Optional setting, off by default","Any language: Handles GmbH, SAS, Inc. and Ltd."],"links":["See full input reference"]},{"title":"What you get","items":["Cleaned Company Name: A normalized name for outreach or your CRM","Fixed casing: BESTFOODserviceGmbH becomes Bestfood Service","Company Name Confidence: Optional High, Medium, Low, or Very Low"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["0.5 Credits per Name: 1,000 names cost 500 credits","Cached Names Cost 0: Matching requests reuse a cached result","Failed Rows Cost 0: Only successful uncached names use credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Outputs: Cleaned Company Name and optional Company Name Confidence.","groups":["Your data","Added by Company Name Cleaner"],"headers":["Company Name","Cleaned Company Name","Company Name Confidence"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many company names you need to clean and we'll show you the cheapest way to clean them.","unitsLabel":"Company names to clean","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"The Company Name Cleaner costs 0.5 credits per successful uncached name. The estimate counts every name you enter once. Matching cached requests cost 0 credits, so lists with repeated names can cost less. Failed rows cost 0 credits. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","cleanerHint":"= {credits} credits at {rate} credits per name","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Upload the names, run the cleaner and get one clean column back.","steps":[{"label":"Step 1","title":"Upload your company names","body":"Import a CSV or Excel file and pick the column that holds the messy names. Your other columns stay untouched."},{"label":"Step 2","title":"AI cleans every name","body":"The AI removes legal forms such as LLC, Inc., GmbH and SAS, splits joined words and fixes casing. It reads the whole name, so a brand like Boston Consulting Group keeps its core name."},{"label":"Step 3","title":"Keep or remove legal forms","body":"One setting decides whether legal forms stay. Remove them for outreach, or keep them when your CRM needs the entity type. Matching cached requests cost 0 credits."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Clean company name","description":"Clean and standardize company names.","imageAlt":""},{"title":"Clean job title","description":"Remove unnecessary characters and normalize case.","imageAlt":""},{"title":"Correct capitalization","description":"Fix the capitalization of sentences and proper nouns.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the Company Name Cleaner with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or the reverse.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes removed and casing fixed. 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AI estimate of whether the cleaned name preserves company identity; not external verification."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Clean Company Names With AI","imageAlt":"How to Clean Company Names With AI"},{"title":"New AI-Powered Method To Normalize Company Names For Cold Outreach","imageAlt":"New AI-Powered Method To Normalize Company Names For Cold Outreach"},{"title":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)","imageAlt":"How to Find and Merge Duplicate Company Names (Excel, CSV, CRM)"}]}},"corner":{"title":"Try it for Free","body":"Clean messy company names in bulk with AI. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"}},"EnrichmentInstagramProfileScraper":{"metadata":{"title":"Instagram Profile Scraper - Scrape Instagram Profile Data in Bulk | Datablist","description":"Scrape public Instagram profile data from usernames, URLs or IDs in bulk: bio, followers, website, public email and more. From 1 credit per profile."},"tabs":["Overview","How to use"],"hero":{"title":"Instagram Profile Scraper","description":"Turn Instagram usernames, profile URLs or IDs into profile data: bio, followers, website, public email and more, in bulk.","primary":"Scrape 500 profiles free","guide":"Check Full Guide","note":"No credit card needed","trust":["From 1 Credit per Profile","Up to 23 Data Points per Profile","Scrape 500 Profiles Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Instagram Profile Scraper reads a username, profile URL or Instagram ID from each row and returns the public profile data. Pick the scraping mode that matches the fields you need.","cards":[{"title":"What you give","items":["Instagram Identifier: A profile URL, a username or an Instagram ID, one per row","Scraping Type: Public profile, private profile, About data, or both","Clean Identifiers: Empty or malformed values are marked in the run status"],"links":["See full input reference"]},{"title":"What you get","items":["Profile Basics: Full name, bio, category, website and profile picture","Audience and Account: Follower and following counts, posts, account type, verified and business flags","Contact Details: Public email, phone and WhatsApp number when the profile shows them"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["From 1 Credit per Profile: Public profile mode, from a username or URL","Richer Modes Cost More: Private profile 2 to 3 credits, with About data from 4","Identifiers May Add 1 Credit: When Datablist must resolve the identifier first"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Instagram Identifier. Output: 21 columns in private profile mode, the same grid you work in inside Datablist.","groups":["Your data","Added by Instagram Profile Scraper"],"headers":["Instagram Identifier","Full Name","Description","Follower Count","Category","Website","Account Type","Public Email","Phone Number","Verified","Business Account","Following Count","WhatsApp Phone Number","Profile Picture","Private","Number of Posts","Business Zip Code","Business City","Business Street Address","User Id","User Username","User Profile URL"],"caption":"Sample input and output.","scrollHint":"22 columns, scroll →","footer":"Scroll sideways to see all columns."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many profiles you want to scrape and we'll show you the cheapest way to run them.","unitsLabel":"Profiles to scrape","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which scraping type?","modes":["Public profile (1 credit per profile)","Private profile from usernames or URLs (3 credits per profile)","Private profile plus About data (4 credits or more per profile)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Instagram Profile Scraper starts at 1 credit per profile in public profile mode, and costs more in the richer modes. Datablist's default scraping type is Private profile, which costs 2 to 3 credits per profile. The modes above use the typical starting cost, so a mixed file or identifiers that need resolving can cost more. Fallback lookups can add to the cost, while available cached data can reduce it. Failed lookups can still use credits if a lookup was performed. The estimate charges every profile once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","scraperHint":"= {credits} credits at {rate} {rate, plural, one {credit} other {credits}} per profile","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"}},"process":{"eyebrow":"The Process","title":"How it Works","description":"Add Instagram identifiers and choose how much data you want.","steps":[{"label":"Step 1","title":"Import your list","body":"Upload a CSV or Excel file with one Instagram identifier per row. A profile URL, a username or an Instagram ID all work, so mixed formats are fine. Keep your original identifier column next to the new ones."},{"label":"Step 2","title":"Choose a scraping mode","body":"Public profile mode is the cheapest and returns follower counts, bio and website. Private profile mode adds the public email and phone when the account shows them, and About data adds home country and join date."},{"label":"Step 3","title":"Get profile data and a run status","body":"Each row returns the fields for your mode. Use the run-status column to find failed rows, fix the identifiers and rerun only those rows. The scraped profile data lands in your collection, ready to filter and export."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data Extraction","description":"Visit a website and extract information about the company.","imageAlt":""},{"title":"B2B or B2C Classifier","description":"Classify a website as B2B or B2C by its primary audience.","imageAlt":""},{"title":"Company Summary from URL","description":"Visit a website and generate a summary of what the company does.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide","imageAlt":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide"},{"title":"Scrape Instagram followers, following list and post authors for free and enrich them","imageAlt":"Scrape Instagram followers, following list and post authors for free and enrich them"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Instagram Profile Scraper with complementary data tools in Datablist.","cards":[{"title":"LinkedIn Profile Scraper","description":"Extract public data points from a LinkedIn profile URL.","imageAlt":""},{"title":"Smart Scraper","description":"Extract text, emails, phone numbers and social links from webpages.","imageAlt":""},{"title":"Waterfall Email Finder","description":"Find verified emails from names and companies using 20+ providers.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""},{"title":"Free Sales Navigator Scraper","description":"Preview the leads in a Sales Navigator search. No LinkedIn login needed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about identifiers, scraping types, billing and results."},"guide":{"hero":{"title":"How to use Datablist's Instagram Profile Scraper","description":"Run Datablist's Instagram Profile Scraper on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Scraping Type","Select","The private profile includes the public phone_number and public email address if provided by the user. It costs 2 credits if the input is an Instagram Id, 2+1 credits if the input is an URL or an username. The About this account data have two outputs: Home Country and Date Joined. About data scraping costs 2 credits, 2+1 credits if the input is an URL or an username. The public profile doesn't include phone or email but is cheaper. It costs 1 credit if the input is an username or an URL, 1+1 credits if the input is the Instagram Id."]]},{"title":"Inputs","rows":[["Instagram Identifier","Text","Instagram user URL (https://www.instagram.com/tomhanks/), or username (tomhanks), or Instagram id (1758466516)."]]},{"title":"Outputs","rows":[["Full Name","Text","The full name of the user"],["Description","LongText","Instagram user bio."],["Follower Count","Number","Instagram user follower count."],["Following Count","Number","Instagram user following count."],["Category","Text","Instagram user category name."],["Website","Url","Instagram user external url."],["Public Email","Email","Private profile modes only. Instagram user public email address."],["Phone Number","Text","Private profile modes only. Instagram user phone number, when available."],["WhatsApp Phone Number","Text","Private profile modes only. Instagram WhatsApp phone number, when available."],["Account Type","Text","Private profile modes only. Instagram Account Type. One of: PERSONAL, BUSINESS, CREATOR"],["Profile Picture","Url","Instagram user profile picture."],["Private","Boolean","Is the Instagram profile private."],["Verified","Boolean","Is the Instagram profile verified."],["Business Account","Boolean","Is the Instagram profile a business profile."],["Number of Posts","Number","Number of posts posted"],["Business Zip Code","Text","-"],["Business City","Text","-"],["Business Street Address","Text","-"],["User Id","Text","Instagram internal id"],["User Username","Text","Instagram username"],["User Profile URL","Url","Instagram profile URL"],["Last Location","Text","Public profile mode only. If the user has posts with location information, retrieve the most recent location."],["Home Country","Text","About modes only. Instagram user country name. Ex: France."],["Date Joined","Text","About modes only. Month and year of joining Instagram. Ex: October 2012."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide","imageAlt":"How To Scrape The Followers of Famous Influencers For Cheap - 2026 Full Guide"},{"title":"Scrape Instagram followers, following list and post authors for free and enrich them","imageAlt":"Scrape Instagram followers, following list and post authors for free and enrich them"},{"title":"Best No Code Scraper in 2026 (New Benchmarks)","imageAlt":"Best No Code Scraper in 2026 (New Benchmarks)"}]}},"corner":{"title":"Try it for Free","body":"Scrape public Instagram profile data in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Instagram Profile Scraper"},"EnrichmentGoogleSearch":{"metadata":{"title":"Google Search - Run Google Searches on CSV Rows in Bulk | Datablist","description":"Run a Google search for every row in your CSV or Excel file. Use row values in your query and return the link, title and snippet. 2.5 credits per search."},"tabs":["Overview","How to use"],"hero":{"title":"Google Search","description":"Run a Google search for every row in your spreadsheet. Build the query from your own columns and get the link, title and snippet back.","primary":"Run 200 searches free","guide":"Check Full Guide","note":"No credit card needed","trust":["2.5 Credits per Search","Live Google Search","Data for AI"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The Google Search enrichment runs one search query per row and returns up to 5 Google results. Query templates use values from your columns, so one setup covers the whole list.","cards":[{"title":"What you give","items":["Google Search Query: A template that uses your columns","Target Country and Language: Optional, US and English by default","Filters: Skip domains and keywords you do not want"],"links":["See full settings reference"]},{"title":"What you get","items":["Result Link: The URL of the result","Result Title: The title of the result","Result Snippet: The short description of the result"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["2.5 Credits per Search: 1,000 searches cost 2,500 credits","Billed per Search: Each row you run is one search","Cached Searches: Matching cached queries cost 0 credits"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result Link, Result Title and Result Snippet.","groups":["Your data","Added by Google Search"],"headers":["Company Name","Result Link","Result Title","Result Snippet"],"caption":"The search query is built from your columns, for example Company Name plus the word pricing.","scrollHint":"","footer":"The search query is built from your columns, for example Company Name plus the word pricing."},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many searches you need to run and we'll show you the cheapest way to run them.","unitsLabel":"Searches to run","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"Google Search costs 2.5 credits per search, and each row you run is one search. The estimate charges every search you enter once. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out. Matching cached searches cost 0 credits. A completed search can still use credits when no result remains after filtering.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"searchHint":"= {credits} credits at {rate} credits per search"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one query template and Datablist runs it for every row.","steps":[{"label":"Step 1","title":"Import your file","body":"Upload a CSV or Excel file with the values you want to search for, such as company names, domains or person names. Every row becomes one search."},{"label":"Step 2","title":"Write a query template","body":"Type your query and insert row values by typing a slash and choosing the property. Optionally set the target country, the language, the number of results and the domains or keywords to skip."},{"label":"Step 3","title":"Collect links, titles and snippets","body":"Create output columns for the result link, title and snippet. The first result is required, and you can return up to 5 results per row. You pay 2.5 credits per search."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"LinkedIn Owner Profiles","description":"Find LinkedIn profiles of business owners and executives.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"LinkedIn School Pages","description":"Find LinkedIn school pages from school names.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Company Name to Domain: Find Company Websites in Bulk","imageAlt":"Company Name to Domain: Find Company Websites in Bulk"},{"title":"Automating Google Searches On Excel With AI (4 Steps)","imageAlt":"Automating Google Searches On Excel With AI (4 Steps)"},{"title":"Using Agents to Scale AI Search (Huge Time-Saver)","imageAlt":"Using Agents to Scale AI Search (Huge Time-Saver)"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Google Search with complementary data tools in Datablist.","cards":[{"title":"AI Agent","description":"Browse websites and run Google searches for every row with one prompt.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""},{"title":"LinkedIn Profile Finder from Name","description":"Find a prospect's LinkedIn profile URL from their name.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about queries, results, filters and credits."},"guide":{"hero":{"title":"How to use Datablist's Google Search","description":"Run Datablist's Google Search on your own list in 5 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Google Search Query","RichText","Google search query. Type a slash and choose a property to insert row variables."],["Target Country","Select","Country to target for the Google search. Defaults to US if not set."],["Language","Select","Language of the Google search results. Defaults to English if not set."],["Number of Results","Select","Number of Google results to return for each row. Defaults to 1."],["Filter Out Domains/Urls","Text","Comma-separated list of domains to exclude. Example: facebook.com, linkedin.com. Matching is applied to the hostname only; full URL paths are not matched. Filtering is applied only on the first 10 Google results."],["Filter Out Keywords","Text","Comma-separated list of keywords to exclude. Results containing these keywords in the title or snippet will be skipped. Filtering is applied only on the first 10 Google results."]]},{"title":"Outputs","rows":[["Result Link","Url","URL of Google search result #1."],["Result Title","Text","Result title of Google search result #1."],["Result Snippet","LongText","Search snippet (short description) of result #1."],["Result 2 Link","Url","URL of Google search result #2. Available when Number of Results is at least 2."],["Result 2 Title","Text","Result title of Google search result #2. Available when Number of Results is at least 2."],["Result 2 Snippet","LongText","Search snippet (short description) of result #2. Available when Number of Results is at least 2."],["Result 3 Link","Url","URL of Google search result #3. Available when Number of Results is at least 3."],["Result 3 Title","Text","Result title of Google search result #3. Available when Number of Results is at least 3."],["Result 3 Snippet","LongText","Search snippet (short description) of result #3. Available when Number of Results is at least 3."],["Result 4 Link","Url","URL of Google search result #4. Available when Number of Results is at least 4."],["Result 4 Title","Text","Result title of Google search result #4. Available when Number of Results is at least 4."],["Result 4 Snippet","LongText","Search snippet (short description) of result #4. Available when Number of Results is at least 4."],["Result 5 Link","Url","URL of Google search result #5. Available when Number of Results is at least 5."],["Result 5 Title","Text","Result title of Google search result #5. Available when Number of Results is at least 5."],["Result 5 Snippet","LongText","Search snippet (short description) of result #5. Available when Number of Results is at least 5."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Company Name to Domain: Find Company Websites in Bulk","imageAlt":"Company Name to Domain: Find Company Websites in Bulk"},{"title":"Automating Google Searches On Excel With AI (4 Steps)","imageAlt":"Automating Google Searches On Excel With AI (4 Steps)"},{"title":"Using Agents to Scale AI Search (Huge Time-Saver)","imageAlt":"Using Agents to Scale AI Search (Huge Time-Saver)"}]}},"corner":{"title":"Try it for Free","body":"Run a Google search for every row in your file. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Google Search"},"EnrichmentAskChatGPT":{"metadata":{"title":"Ask ChatGPT/OpenAI - Run a ChatGPT Prompt on Every CSV or Excel Row | Datablist","description":"Run a ChatGPT prompt on every row of a CSV or Excel file. Free in Datablist with your own OpenAI API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask ChatGPT/OpenAI","description":"Write one prompt and run ChatGPT on every row of your CSV or Excel file. Free in Datablist with your own OpenAI API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask ChatGPT/OpenAI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your OpenAI API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by ChatGPT for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used when you provide your own OpenAI API key","Billed by OpenAI: Usage is charged to your own OpenAI account in own-key mode","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask ChatGPT/OpenAI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask ChatGPT/OpenAI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Ask ChatGPT/OpenAI can also run on Datablist credits instead of your own key. Switch on Use Datablist credits in the settings and Datablist charges your credits based on token usage. This page covers the free mode with your own key.","planRows":[["Datablist credits","None. This enrichment is free to run."],["OpenAI usage","OpenAI bills your own account for API usage, based on the tokens your prompts and results use. Prices depend on the model you choose."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]]},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your OpenAI API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format or tone, and turn on Cache Results on a paid Datablist plan to skip duplicate prompts."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages rate limits and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask ChatGPT/OpenAI with complementary data tools in Datablist.","cards":[{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"Ask Mistral AI","description":"Run Mistral AI on every row.","imageAlt":"Ask Mistral AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask ChatGPT/OpenAI","description":"Run Datablist's Ask ChatGPT/OpenAI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Use Datablist credits","Boolean","Check this setting to use Datablist's OpenAI account instead of your own key. Useful to avoid rate limits or when you do not have an OpenAI account."],["OpenAI API Key","Text","Your OpenAI API Key. Available in your OpenAI account under API Keys at platform.openai.com/api-keys. Turn on Use Datablist credits to use Datablist's OpenAI account instead."],["Prompt","RichText","Prompt to be used to call ChatGPT. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Cache Results","Boolean","Enable this to cache results for 48 hours. Identical prompts with the same settings on the same data reuse previous responses for free (no additional credits used). Available on paid Datablist plans."],["Max Concurrent Calls","Number","Maximum number of parallel calls. Default is 10. Reduce if you hit rate limit errors."],["GPT Model","Select","(Optional) Select the GPT model. Default to GPT 4o mini. See the OpenAI Models page."],["Model id","Text","Write the GPT model id. Example: gpt-5.4-nano, gpt-5.4-mini. Check OpenAI's pricing page for the list. Select Other in GPT Model first. Custom model IDs require your own API key."],["Advanced Settings","Boolean","Configure max tokens, reasoning effort, flex mode, and response verbosity."],["ChatGPT Max tokens","Number","The maximum number of output tokens. If unset, the provider/model default applies."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."],["Use Flex Mode","Boolean","Enable lower-cost Flex processing on compatible models, with longer response times."],["Flex Timeout (seconds)","Number","Default 360 seconds. Accepts 30–1,500 seconds; available when Flex mode and Advanced Settings are enabled."],["Reasoning Effort","Select","Low, Medium or High on compatible models. Defaults to Medium."],["Response Verbosity","Select","Low, Medium or High on compatible models. Defaults to Medium."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by ChatGPT."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run ChatGPT on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask ChatGPT/OpenAI"},"EnrichmentAskDeepSeek":{"metadata":{"title":"Ask DeepSeek AI - Run DeepSeek on Every CSV or Excel Row | Datablist","description":"Run a DeepSeek prompt on every row of a CSV or Excel file. Free in Datablist with your own DeepSeek API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask DeepSeek AI","description":"Write one prompt and run DeepSeek on every row of your CSV or Excel file. Free in Datablist with your own DeepSeek API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask DeepSeek AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your DeepSeek API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by DeepSeek for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by DeepSeek: Usage is charged to your own DeepSeek account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask DeepSeek AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask DeepSeek AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["DeepSeek usage","DeepSeek bills your own account for API usage. Fees come out of your topped-up balance or your granted balance, with the granted balance used first."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Your DeepSeek account needs a balance for the run to work. Top it up in the DeepSeek Platform before you start a large file."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your DeepSeek API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt to set the format, for example to return just the result."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask DeepSeek AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Claude AI","description":"Run Claude on every row.","imageAlt":"Ask Claude AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask DeepSeek AI","description":"Run Datablist's Ask DeepSeek AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["DeepSeek API Key","Text","Your DeepSeek API Key. Available at platform.deepseek.com/api_keys."],["Prompt","RichText","Prompt to be used to call DeepSeek. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["DeepSeek Model","Select","Choose the model to use. See DeepSeek's models and pricing page to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written on DeepSeek's models and pricing page. Select Other in DeepSeek Model first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run DeepSeek on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask DeepSeek AI"},"EnrichmentApolloPeopleSearch":{"metadata":{"title":"Apollo.io People Search - Find Leads by Company Domain in Bulk | Datablist","description":"Search people at a list of company domains with Apollo.io. Define job titles and seniority and get profiles in your CSV or Excel file. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Search","description":"Turn a list of company domains into matching people. Define job titles and seniority, and get profiles back. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Up to 3 Leads per Company","Fallback Titles When No Match"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Search runs Apollo people searches in bulk. Give it company domains, define the roles or seniority you want, and it returns matching profiles in your table.","cards":[{"title":"What you give","items":["Company Domain: One company domain per row, for example google.com","Job Titles or Seniority: At least one of the two, with optional fallback title lists","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Matching Profiles: Name, job title, seniority, location and LinkedIn URL","Work Email and Company Data: When Apollo returns them for the profile","Total Query Results: how many profiles matched each company"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","Any Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Domain. Output: Full Name #1, Job Title #1, Seniority #1, Country #1 and Total Query Results.","groups":["Your data","Added by Apollo.io People Search"],"headers":["Company Domain","Full Name #1","Job Title #1","Seniority #1","Country #1","Total Query Results"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Search does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo's People Search costs 0 Apollo credits. Turning the hits into complete profiles typically uses 1 Apollo credit per profile returned. The optional company name fallback uses 1 Apollo credit per search page."],["Running in the app","Needs a Datablist plan, and any paid plan works. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan. Check your Apollo API limits before running a large file. A Datablist plan is needed to run this enrichment in the app, and any paid plan works."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and the roles you want, and get people back.","steps":[{"label":"Step 1","title":"Import your company domains","body":"Upload a CSV or Excel file with one company domain per row. Domains are more precise than company names. Add the company name too as a fallback for companies with several domains."},{"label":"Step 2","title":"Define the people you want","body":"Paste your Apollo API key, then add job titles, a seniority level, or both. Add fallback title lists for when the first list finds nobody, and choose up to 3 people per company."},{"label":"Step 3","title":"Run it and review the status","body":"Datablist searches each company and writes the profiles into numbered columns, plus a Total Query Results count for every row. Filter no-result rows to adjust your titles and rerun them. Keep the status column so you can see which rows failed."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. 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Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Search with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Search","description":"Find people at a company by job title and seniority.","imageAlt":"Waterfall People Search"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. 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Optional."],["Titles Fallback 2","Text","Search other job titles when no profile matches the \"Titles Fallback 1\" list. Optional."],["Titles Fallback 3","Text","Search other job titles when no profile matches the \"Titles Fallback 2\" list. Optional."],["Person Seniority","Select (multiple)","Select one or more seniority levels. Apollo returns people matching any selected level. You must define at least one Person Title or Person Seniority."],["Number of persons returned per search","Number","Default to 1. Max 3."]]},{"title":"Inputs","rows":[["Company domain","Text","Company domain. Ex: google.com"],["Company name (optional)","Text","Company name is used as fallback if the company domain has yielded no result. This can be the case with companies that have several domains (.fr, .es, .com, etc.)."]]},{"title":"Outputs","rows":[["First Name #1","Text","The first name of the profile"],["Last Name #1","Text","The last name of the profile"],["Full Name #1","Text","The full name of the profile"],["LinkedIn URL #1","Url","LinkedIn Profile URL."],["LinkedIn Summary #1","LongText","The profile summary text"],["Job Title #1","Text","Returned by Apollo."],["Job Start Date #1","Text","Returned by Apollo."],["Seniority #1","Text","Returned by Apollo."],["City #1","Text","Returned by Apollo."],["Country #1","Text","Returned by Apollo."],["Company LinkedIn Page #1","Url","Returned by Apollo."],["Apollo Person ID #1","Text","Unique Apollo identifier for the person."],["Work Email Address #1","Email","Work email returned by Apollo Bulk People Enrichment."],["Email Status #1","Text","Apollo verification status for the work email."],["Email Domain Catch-all #1","Boolean","Whether Apollo identifies the email domain as catch-all."],["Email Domain Catch-all Verdict #1","Text","Apollo's catch-all verdict for the email domain."],["Email Confidence #1","Number","Apollo confidence score for an extrapolated email."],["Profile Photo #1","Url","Profile photo URL."],["Twitter/X Profile #1","Url","Twitter or X profile URL."],["GitHub Profile #1","Url","GitHub profile URL."],["Facebook Profile #1","Url","Facebook profile URL."],["State/Region #1","Text","Person's state or region."],["Formatted Address #1","Text","Person's formatted location or address."],["Street Address #1","Text","Person's street address when available."],["Postal Code #1","Text","Person's postal code."],["Time Zone #1","Text","Person's time zone."],["Departments #1","Text","Apollo department classifications for the person."],["Subdepartments #1","Text","Apollo subdepartment classifications for the person."],["Functions #1","Text","Apollo job-function classifications for the person."],["Employment History #1","LongText","Complete employment history returned by Apollo, formatted as JSON."],["Apollo Organization ID #1","Text","Unique Apollo identifier for the current organization."],["Organization Name #1","Text","Name of the person's current organization."],["Intent Strength #1","Text","Apollo intent-strength value when available."],["Intent Available #1","Boolean","Whether Apollo exposes intent data for the person."],["Company Domain #1","Text","Primary domain of the current organization."],["Company Website #1","Url","Website URL of the current organization."],["Company Twitter/X #1","Url","Twitter or X URL of the current organization."],["Company Facebook #1","Url","Facebook URL of the current organization."],["Company AngelList #1","Url","AngelList URL of the current organization."],["Company Crunchbase #1","Url","Crunchbase URL of the current organization."],["Company Logo #1","Url","Logo URL of the current organization."],["Company Phone #1","Text","Main phone number of the current organization."],["Company Founded Year #1","Number","Year the current organization was founded."],["Company Industry #1","Text","Primary industry of the current organization."],["Company Industries #1","Text","Industries associated with the current organization."],["Company Secondary Industries #1","Text","Secondary industries associated with the current organization."],["Company Keywords #1","LongText","Keywords associated with the current organization."],["Company Estimated Employees #1","Number","Apollo's estimated employee count for the current organization."],["Company Revenue #1","Number","Numeric revenue estimate for the current organization."],["Company Revenue (Formatted) #1","Text","Formatted revenue estimate returned by Apollo."],["Company Headcount Growth (6 Months) #1","Number","Six-month organization headcount growth."],["Company Headcount Growth (12 Months) #1","Number","Twelve-month organization headcount growth."],["Company Headcount Growth (24 Months) #1","Number","Twenty-four-month organization headcount growth."],["Company Alexa Ranking #1","Number","Alexa ranking returned by Apollo."],["Company Formatted Address #1","Text","Formatted address of the current organization."],["Company Street Address #1","Text","Street address of the current organization."],["Company City #1","Text","City of the current organization."],["Company State/Region #1","Text","State or region of the current organization."],["Company Postal Code #1","Text","Postal code of the current organization."],["Company Country #1","Text","Country of the current organization."],["Company Languages #1","Text","Languages associated with the current organization."],["Company NAICS Codes #1","Text","NAICS industry classification codes."],["Company SIC Codes #1","Text","SIC industry classification codes."],["Company Stock Symbol #1","Text","Public stock symbol of the current organization."],["Company Stock Exchange #1","Text","Public stock exchange of the current organization."],["Company Retail Location Count #1","Number","Number of retail locations reported by Apollo."],["Total Query Results","Number","The total number of profiles maching the query"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"},{"title":"How To Find Leads Using Datablist.com (Emails Included)","imageAlt":"How To Find Leads Using Datablist.com (Emails Included)"},{"title":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide","imageAlt":"The Best Way to Build a High-Converting B2B Lead List: Step-by-Step Guide"}]}},"corner":{"title":"Try it for Free","body":"Find the right people at a list of companies with your own Apollo key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Search"},"EnrichmentApolloPeopleEnrichment":{"metadata":{"title":"Apollo.io People Enrichment - Enrich Contacts With Apollo in Bulk | Datablist","description":"Enrich contacts with the Apollo.io People Enrichment API from a CSV or Excel file. Get LinkedIn URL, job title, email and phone number. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io People Enrichment","description":"Enrich a list of contacts with Apollo: LinkedIn URL, job title, email, phone number and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","Match by Email or LinkedIn","Social Profiles and Location"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io People Enrichment enriches contacts with the Apollo.io API. Provide a LinkedIn URL or an email, or a name with a company, and it returns the profile details Apollo has.","cards":[{"title":"What you give","items":["A LinkedIn URL or an Email: Either one is enough on its own","Or a Name and a Company: First and last name, or full name, with a company domain or name","Your Apollo API Key: Pasted into the settings"],"links":["See full input reference"]},{"title":"What you get","items":["Contact Details: Email, phone number, title, seniority and LinkedIn URL","Profiles and Location: Twitter or X, Facebook, city, state and country","Company Details: Company name, LinkedIn page and website"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Full Name and Company Domain. Output: Email from Apollo, Title, LinkedIn URL and Seniority.","groups":["Your data","Added by Apollo.io People Enrichment"],"headers":["Full Name","Company Domain","Email from Apollo","Title","LinkedIn URL","Seniority"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io People Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it a LinkedIn URL, an email, or a name with a company, and get the contact details back.","steps":[{"label":"Step 1","title":"Import your contacts","body":"Upload a CSV or Excel file with your contacts. The most reliable inputs are a LinkedIn profile URL or an email. A first name, last name and company domain also work."},{"label":"Step 2","title":"Paste your key and map inputs","body":"Paste your Apollo API key and map the columns that identify each person. Skip the inputs you do not have, since one strong identifier is enough. Test on the first 10 rows before you run the whole list."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each contact and writes the details into new columns. Filter the rows with empty output columns to find the people Apollo could not match. Fix the source data and rerun those rows."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"[Source] Employee & Talent Finder","description":"Find employees at a list of companies. This AI agent searches Google for LinkedIn profiles that match specific job titles and seniority levels.","imageAlt":"[Source] Employee & Talent Finder"},{"title":"Business Owner Finder","description":"Finds the founder, CEO, or owner of a company by visiting their website and extracting leadership information.","imageAlt":"Business Owner Finder"},{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name. Works well when the company name contains extra words that prevent exact matching with databases.","imageAlt":"Company Name to LinkedIn Url"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io People Enrichment with complementary data tools in Datablist.","cards":[{"title":"Waterfall People Enrichment","description":"Enrich contacts from an email, a LinkedIn URL or a name.","imageAlt":"Waterfall People Enrichment"},{"title":"Waterfall Email Finder","description":"Find work emails from a name and a company.","imageAlt":"Waterfall Email Finder"},{"title":"LinkedIn Profile Scraper","description":"Scrape LinkedIn profile data from profile URLs.","imageAlt":"LinkedIn Profile Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io People Enrichment","description":"Run Datablist's Apollo.io People Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["First Name","Text","Person's first name. Ex: Tim"],["Last Name","Text","Person's last name. Ex: Zheng"],["Full Name","Text","Person's full name (if you don't have the first name and last name split). Ex: Tim Zheng. We recommend using the First Name and Last Name fields instead for better results."],["Email","Email","Person's email (optional). Ex: example@domain.com. If you have the person's email, you don't need to map the other input fields."],["LinkedIn Url","Text","Person's LinkedIn URL. If you provide the LinkedIn URL, do not map the name or other fields. This gives the best results."],["Company Name","Text","Person's company name (optional). Ex: Datablist"],["Company Domain","Text","Person's company domain (optional). Ex: datablist.com. Recommended over just the company name."]]},{"title":"Outputs","rows":[["Email from Apollo","Email","Person's email"],["Phone Number","Text","The matched company's business phone number, when available. This integration does not enable mobile-phone reveal."],["Title","Text","Person's job title. Ex: Sales Executive, CEO, etc."],["Seniority","Text","Person's seniority. Ex: entry, vp, c_suite"],["LinkedIn URL","Url","Person's LinkedIn url."],["Twitter URL","Url","Person's Twitter url."],["Facebook URL","Url","Person's Facebook url."],["Github URL","Url","GitHub URL output. Currently empty in this integration."],["State","Text","The person's state or region."],["City","Text","The person's city."],["Country","Text","The person's country."],["Company Name from Apollo","Text","Person's company name."],["Company LinkedIn URL","Url","Person's company LinkedIn url."],["Company Website","Url","Person's company website."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"},{"title":"5 Bulk Enrichment Methods Everyone Should Know About","imageAlt":"5 Bulk Enrichment Methods Everyone Should Know About"},{"title":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email","imageAlt":"Sales Navigator vs. Apollo: Which One is The Best For Cold Email"}]}},"corner":{"title":"Try it for Free","body":"Enrich contacts with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io People Enrichment"},"EnrichmentApolloCompanyEnrichment":{"metadata":{"title":"Apollo.io Company Enrichment - Enrich Domains With Apollo in Bulk | Datablist","description":"Enrich company domains with the Apollo.io Organization Enrichment API from a CSV or Excel file. Get industry, employees, address and social URLs. Free in Datablist with your own Apollo API key."},"tabs":["Overview","How to use"],"hero":{"title":"Apollo.io Company Enrichment","description":"Enrich a list of company domains with Apollo: industry, employees, address, social URLs and more. Free in Datablist with your own Apollo API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Apollo Key","20 Data Fields per Company","Social URLs and Address"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Apollo.io Company Enrichment enriches company domains with the Apollo.io Organization Enrichment API. Give it a domain and it returns the social URLs, industry, size, address and more.","cards":[{"title":"What you give","items":["A Company Domain: One domain per row, for example google.com","Your Apollo API Key: Pasted into the settings","No Other Settings: Map the domain, choose outputs and run"],"links":["See full input reference"]},{"title":"What you get","items":["Company Basics: Name, website, description, industry and founded year","Size, Phone and Address: Employees, phone number and the full address","Social Links: LinkedIn, Twitter or X, Facebook, Crunchbase and AngelList"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Apollo Credits Apply: Apollo charges your own Apollo account","No Paid Plan for the App: API and MCP access needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Domain. Output: Company Name, Company Industry, Estimated Number of Employees, City and Country.","groups":["Your data","Added by Apollo.io Company Enrichment"],"headers":["Domain","Company Name","Company Industry","Estimated Number of Employees","City","Country"],"caption":"Sample input and output.","footer":""},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Apollo.io Company Enrichment does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Apollo credits","Apollo charges your own account for the data it returns. Check your Apollo plan for the credits and limits that apply. Apollo free-account access depends on endpoint eligibility; check your Apollo account before running."],["Running in the app","No paid Datablist plan needed. Add your Apollo key, map your columns and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Apollo's API access depends on your Apollo plan and endpoint eligibility. No paid Datablist plan is needed to run this enrichment in the app."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Give it company domains and get firmographic data back.","steps":[{"label":"Step 1","title":"Import your domains","body":"Upload a CSV or Excel file with one company domain per row. A clean domain, such as google.com, is all the enrichment needs to find a company."},{"label":"Step 2","title":"Paste your key and map the domain","body":"Paste your Apollo API key and map the Domain input to your domain column. There are no other settings to configure, so you can go straight to choosing outputs. Start with a test on the first 10 rows."},{"label":"Step 3","title":"Run it and filter what was found","body":"Datablist asks Apollo about each domain and writes the company data into new columns. Filter the rows with empty output columns to find the domains Apollo could not match. Fix those domains and run the rows again."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Data extraction from website","description":"Visit a website, search for the About Page, and extract information about the company (summary, industry, number of employees) and its found social links.","imageAlt":"Company Data extraction from website"},{"title":"Company enrichment from company name","description":"Find and enrich a company using its name. Prioritizes fast exits when no reliable online presence exists.","imageAlt":"Company enrichment from company name"},{"title":"Get Company Sector","description":"Figure out the company's sector using the LLM knowledge, a company database, or by checking the website.","imageAlt":"Get Company Sector"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Apollo.io Company Enrichment with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain, website or LinkedIn URL.","imageAlt":"Company Enrichment"},{"title":"Identify Technologies on Websites","description":"Find the technology stack of any website.","imageAlt":"Identify Technologies on Websites"},{"title":"LinkedIn Company Page Scraper","description":"Scrape company data from LinkedIn company pages.","imageAlt":"LinkedIn Company Page Scraper"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, inputs and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Apollo.io Company Enrichment","description":"Run Datablist's Apollo.io Company Enrichment on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Apollo API Key","Text","Your Apollo API Key. Available at developer.apollo.io/keys."]]},{"title":"Inputs","rows":[["Domain","Text","Company domain to enrich. Example: google.com"]]},{"title":"Outputs","rows":[["Company Name","Text","The company name."],["Website URL","Url","The company website url."],["LinkedIn URL","Url","The company LinkedIn url."],["LinkedIn UID","Text","The company LinkedIn identifier. Ex: 69842428."],["Apollo Company Link","Text","Direct link to the company on Apollo.io. Ex: https://app.apollo.io/#/accounts/6758625db51a1202d1948b97"],["Twitter URL","Url","The company Twitter url."],["Facebook URL","Url","The company Facebook url."],["Crunchbase URL","Url","The company Crunchbase url."],["AngelList URL","Url","The company AngelList url."],["Company Phone","Text","The company Phone Number"],["Company Industry","Text","The company industry."],["Company Description","LongText","The company description."],["Founded Year","Number","The year the company was founded."],["Estimated Number of Employees","Number","The estimated number of employees."],["Company Full Address","Text","The full company postal address"],["Street Address","Text","The street address component from the full address"],["City","Text","The city component from the full address"],["State","Text","The state component from the full address"],["Postal Code","Text","The Postal Code component from the full address"],["Country","Text","The company country."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"},{"title":"B2B Data Enrichment Explained: Everything You Need To Know","imageAlt":"B2B Data Enrichment Explained: Everything You Need To Know"},{"title":"CRM Cleanup and Enrichment From Start to Finish","imageAlt":"CRM Cleanup and Enrichment From Start to Finish"}]}},"corner":{"title":"Try it for Free","body":"Enrich company domains with Apollo from a CSV or Excel file, using your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Apollo.io Company Enrichment"},"EnrichmentAskClaudeAI":{"metadata":{"title":"Ask Anthropic/Claude AI - Run Claude on Every CSV or Excel Row | Datablist","description":"Run a Claude prompt on every row of a CSV or Excel file. Free in Datablist with your own Anthropic API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Anthropic/Claude AI","description":"Write one prompt and run Claude on every row of your CSV or Excel file. Free in Datablist with your own Anthropic API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Anthropic/Claude AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Anthropic API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Claude for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Anthropic: Usage is charged to your own Anthropic account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask Anthropic/Claude AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies as B2B or B2C","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company as B2B or B2C. Return only B2B or B2C:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask Anthropic/Claude AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Anthropic usage","Anthropic bills your own account for API usage, based on the Claude model you choose and how much text each row uses."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"You need an active Anthropic account with billing enabled. The enrichment will not run with a key from an account that has no credits."},"process":{"eyebrow":"The Process","title":"How it Works","description":"Write one prompt, point it at your data and run it on every row.","steps":[{"label":"Step 1","title":"Add your key and prompt","body":"Paste your Anthropic API key, then write one prompt for the whole file. Type a slash to insert a column such as the company name. Add a system prompt so Claude knows its role and answers in a consistent format."},{"label":"Step 2","title":"Test on a small batch","body":"Run the prompt on the first 10 rows and read the results. Adjust the wording, the system prompt or the model until the answers match what you expect, before you spend time on the full file."},{"label":"Step 3","title":"Run the full list","body":"Datablist sends one request per row, manages throttling and retries, and tracks a status for each row. Filter the failed rows and rerun only those."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Classify as B2B or B2C business","description":"Use a company description to classify it as B2B or B2C.","imageAlt":"Classify as B2B or B2C business"},{"title":"Analyse if a company is a SaaS company","description":"Use the company description and return whether it is a SaaS business.","imageAlt":"Analyse if a company is a SaaS company"},{"title":"Checks if company is an Ideal Customer Company","description":"Analyze a company description and website text and identify if it fits your Ideal Customer Profile.","imageAlt":"Checks if company is an Ideal Customer Company"}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair Ask Anthropic/Claude AI with complementary data tools in Datablist.","cards":[{"title":"Ask ChatGPT/OpenAI","description":"Run a ChatGPT prompt on every row.","imageAlt":"Ask ChatGPT/OpenAI"},{"title":"Ask Mistral AI","description":"Run Mistral AI on every row.","imageAlt":"Ask Mistral AI"},{"title":"AI Agent","description":"Research each row on the web with an AI agent.","imageAlt":"AI Agent"}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":"Free Company Name Cleaner"},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":"Free Email Finder"},{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":"Free Domain Finder"}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about keys, billing, limits and results.","items":[]},"guide":{"hero":{"title":"How to use Datablist's Ask Anthropic/Claude AI","description":"Run Datablist's Ask Anthropic/Claude AI on your own list in 8 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","Fully No-Code","38,000+ Users"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Anthropic API Key","Text","Your Anthropic API Key. Available at console.anthropic.com/settings/keys."],["Prompt","RichText","Prompt to be used to call Anthropic. Type a slash and choose a property to add it as a variable. Ex: 'Translate the following text in Italian' followed by the Text property, or 'Return the first name for' followed by the Name property."],["System Prompt (Optional)","LongText","The system prompt gives instructions for the chatbot to guide its responses or actions. Example 1: Your job is to list relevant keywords to a company's prospecting. You will help me by... Example 2 (to avoid useless text): Return just the result. No instruction, no comment."],["Anthropic Model","Select","Choose the model to use. See the Claude models overview in Anthropic's docs to learn more."],["Max Concurrent Calls","Number","Maximum number of parallel calls. The setting defaults to 20 in async mode, 10 otherwise. Reduce if you hit rate limit errors. Enable Run in Async in the Run Settings (last step) to let Datablist handle automatic background retries."],["Model code","Text","Write the model code name, as written in Anthropic's models overview. Select Other in the model setting first."],["Define outputs format","Boolean","Specify the format for the outputs. This enables multiple outputs and better data types."],["Outputs Format","MultipleValues","Define each expected output. Outputs must match your prompt intent."]]},{"title":"Outputs","rows":[["Result","LongText","The text returned by the LLM."],["Structured Outputs","Varies","Your named outputs when Define outputs format is enabled on a compatible model. Each has a name, description and type."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"},{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"}]}},"corner":{"title":"Try it for Free","body":"Run Claude on every row of a CSV or Excel file with your own API key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Ask Anthropic/Claude AI"},"EnrichmentAskMistralAI":{"metadata":{"title":"Ask Mistral AI - Run Mistral on Every CSV or Excel Row | Datablist","description":"Run a Mistral AI prompt on every row of a CSV or Excel file. Free in Datablist with your own Mistral API key. Datablist handles rate limits and retries."},"tabs":["Overview","How to use"],"hero":{"title":"Ask Mistral AI","description":"Write one prompt and run Mistral AI on every row of your CSV or Excel file. Free in Datablist with your own Mistral API key.","primary":"Start for free","guide":"Check Full Guide","note":"No credit card needed","trust":["Free With Your Own Key","CSV and Excel Import","Bulk AI Without Writing Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"Ask Mistral AI runs one prompt on every row of your file. Use values from each row inside the prompt, and Datablist handles rate limits, retries and a status per row.","cards":[{"title":"What you give","items":["Your Mistral API Key: Pasted into the settings, used only for your runs","A Prompt: One prompt for the whole file, with columns inserted by typing a slash","Optional System Prompt: Sets the role or the answer format"],"links":["See full input reference"]},{"title":"What you get","items":["A Result Column: The text returned by Mistral for each row","Structured Outputs: Optional: several named columns from one prompt","A Status per Row: See which rows succeeded and rerun the failed ones"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["Free in Datablist: No Datablist credits are used","Billed by Mistral: Usage is charged to your own Mistral account","Growth for API and MCP: Running through the API or MCP needs the Growth plan"],"links":["Plan requirements"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company Name. Output: Result.","groups":["Your data","Added by Ask Mistral AI"],"headers":["Company Name","Result"],"caption":"Sample input and output.","footer":""},"example":{"eyebrow":"Example","title":"Example: Classify companies by industry","description":"A prompt that works on every row of a company list. Open it to see the exact wording and how the column is inserted.","toggle":"Show the example prompt","promptLabel":"Prompt","prompt":"Classify this company by industry. Return only the industry name:","systemLabel":"System prompt (optional)","systemPrompt":"Return just the result. No instruction, no comment.","note":"Type a slash in the prompt field and choose the Company Name property to insert it. Datablist replaces it with the value from each row.","inputLabel":"# Company Name","inputValue":"{{Company Name}}"},"calculator":{"eyebrow":"Plans","title":"Free to run, with the right plan","description":"Ask Mistral AI does not use Datablist credits, so there is no cost to estimate. Here is what you need.","planRows":[["Datablist credits","None. This enrichment is free to run."],["Mistral usage","Mistral bills your own account for API usage. Mistral's Free mode has usage and rate limits, so large files may need a paid setup on their side."],["Running in the app","No paid Datablist plan needed. Add your API key, write your prompt and run it."],["Running through the API or MCP","Needs the Growth plan. The enrichment stays free of credits, but API and MCP access come with Growth."]],"cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"Good to know","creditsBody":"Mistral's Free mode does not need a credit card, but usage and rate limits apply. 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Flex mode provides cost-efficient processing with longer response times."],["Flex Timeout (seconds)","Number","Maximum time to wait for a Flex response. Default is 360 seconds (6 minutes); maximum is 1,500 seconds (25 minutes). Available when Use Flex Mode is enabled."]]},{"title":"Inputs","rows":[["Text","Text","Text to classify."]]},{"title":"Outputs","rows":[["Result","Text","The returned label, when available."],["Confidence","Text","Confidence level returned by the model: High, Medium, Low, or Very Low."]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How to Write a Prompt to Analyze and Classify Data (Full Guide)","imageAlt":"How to Write a Prompt to Analyze and Classify Data (Full Guide)"},{"title":"How to Score Leads With AI","imageAlt":"How to Score Leads With AI"},{"title":"How to run ChatGPT on Excel and CSV rows","imageAlt":"How to run ChatGPT on Excel and CSV rows"}]}},"corner":{"title":"Try it for Free","body":"Sort every row of a CSV or Excel file into your own labels with your own OpenAI key. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"Classification with ChatGPT/OpenAI"},"EnrichmentAIResearchAgent":{"metadata":{"title":"AI Research Agent - Run Web Research on Every Row in Bulk | Datablist","description":"Give the agent a goal and the fields you want back. 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On a typical task at default settings that works out to somewhere between 3 and 25 credits per row, and credits are spent even on rows where it finds nothing. Max iterations limits research depth: raising it lets the agent dig deeper and raises the top of the estimated range with it. It is not a fixed credit cap. Treat the number as sizing guidance, not a quote. The range models the default model and one rendered scrape per row when Render HTML is enabled; more page visits or a different model can change the cost. Run a hundred rows first and read your real per-row cost off that. Plan credits renew monthly and reset if unused. 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Or pick a ready-made template and skip the prompt entirely."},{"label":"Step 2","title":"It searches, opens, and reads","body":"For each row the agent runs Google searches, follows the links it finds, and reads the pages. Because it works from meaning rather than fixed selectors, it keeps working when a site's layout changes."},{"label":"Step 3","title":"Structured fields, not a blob of text","body":"You name the outputs up front, so results come back as real columns you can filter and sort. You can also add a confidence score from 0 to 100, and review run status when something went wrong."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jump in with ready-made agent templates. No prompt writing required.","cards":[{"title":"Trustpilot Reviews","description":"Pull reviews and ratings for any company.","imageAlt":""},{"title":"YC Startup Directory","description":"Scrape companies and founders from Y Combinator.","imageAlt":""},{"title":"Product Hunt Scraper","description":"Extract launches, makers and taglines.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Learn the newest workflows with detailed step-by-step guides.","cards":[{"title":"How To Find Small Business Owners (That Aren't in Any Database)","imageAlt":"How To Find Small Business Owners (That Aren't in Any Database)"},{"title":"How To Find Phone Numbers: Verified and AI Agent","imageAlt":"How To Find Phone Numbers: Verified and AI Agent"},{"title":"AI Web Scraping: Value vs. Hype","imageAlt":"AI Web Scraping: Value vs. Hype"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the AI Research Agent with complementary data tools in Datablist.","cards":[{"title":"Waterfall Email Finder","description":"Turn the names the agent found into verified email addresses.","imageAlt":""},{"title":"Company Domain Finder","description":"Resolve company names to domains before you point the agent at them.","imageAlt":""},{"title":"Ask ChatGPT","description":"Classify or summarise data already in your collection, on your own key.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed.","imageAlt":""},{"title":"Free Email Finder","description":"Find a work email from a name and a company. Free to try.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about usage-based credits, prompting, and what the agent can reach."},"guide":{"hero":{"title":"How to use Datablist's AI Research Agent","description":"Run Datablist's AI Research Agent on your own list in 6 steps, no code needed. 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Higher is better"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"How To Find Small Business Owners","imageAlt":"How To Find Small Business Owners"},{"title":"Company Name To Domain: 3 Bulk Methods","imageAlt":"Company Name To Domain: 3 Bulk Methods"},{"title":"How To Scrape Any Website Without Code","imageAlt":"How To Scrape Any Website Without Code"}]}},"corner":{"title":"Try it for Free","body":"Put a research assistant on every row of your list. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"AI Research Agent"},"EnrichmentCompanyDomainLinkedInMatcher":{"metadata":{"title":"LinkedIn Company URL/Website Lookup | Datablist","description":"Find a company's LinkedIn page from its website or domain, or find its website from a LinkedIn company page URL. 1.5 credits per successful lookup."},"tabs":["Overview","How to use"],"hero":{"title":"LinkedIn Company URL/Website Lookup","description":"Find a company's LinkedIn page from its website, or its website from a LinkedIn page URL, regular or Sales Navigator.","primary":"Match 333 companies free","guide":"Check Full Guide","note":"No credit card needed","trust":["1.5 Credits per Successful Lookup","Works in Both Directions","Match 333 Companies Free"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"glance":{"eyebrow":"Overview","title":"At a Glance","description":"The matcher connects company websites and LinkedIn company pages in both directions. Datablist checks company datasets first and can use Google Search and LinkedIn page lookups to find or validate a match.","cards":[{"title":"What you give","items":["Company URL or Company LinkedIn Url: One column per run","Matching Type: Website to LinkedIn page, or the reverse","Any URL format: Domains, full URLs, regional and Sales Navigator links"],"links":["See full input reference"]},{"title":"What you get","items":["Company Name: As written on LinkedIn, when found","Company Website and LinkedIn Url: Clean, standardized URLs","Confidence and Status: high or low, plus success or not_found"],"links":["See sample output","See full output reference"]},{"title":"How it's billed","items":["1.5 Credits per Successful Lookup: Nothing charged for a miss","10 Credits for Sales Navigator: Sales Navigator URL to website lookups","About $0.0015 per Lookup: At 1,000 credits per dollar"],"links":["How credits work"]}]},"sample":{"eyebrow":"Sample Data","title":"What Your Results Look Like","description":"Input: Company URL or Company LinkedIn Url. Output: Company Name, Company Website, Company LinkedIn Url, Confidence and Status.","groups":["Your data","Added by LinkedIn Company URL/Website Lookup"],"headers":["Company URL or Company LinkedIn Url","Company Name","Company Website","Company LinkedIn Url","Confidence","Status"],"caption":"Sample input and output.","scrollHint":"","footer":""},"calculator":{"eyebrow":"Calculator","title":"How much will it cost you?","description":"Tell us how many companies you need to match and we'll show you the cheapest way to match them.","unitsLabel":"Companies to match","needsLabel":"Do you also need to:","needs":["Run this via API / MCP","Set up enrichment automation"],"modeLabel":"Which lookup do you need?","modes":["Standard lookup (1.5 credits per successful lookup)","Sales Navigator URL to website (10 credits per lookup)"],"resultLabels":["Recommended plan","Credit top-up","Credits you'll have"],"totalLabel":"Total this month","cta":"Try for free","note":"No credit card needed","pricingLink":"View pricing","creditsTitle":"How credits work","creditsBody":"1,000 credits = $1, so each credit costs a tenth of a cent. A standard lookup costs 1.5 credits and is only charged when the match succeeds. A Sales Navigator URL to website lookup costs 10 credits. The estimate assumes every company you enter is matched, so a list with misses costs less. Plan credits renew every month and reset if unused. Top-up credits never expire and only apply once your monthly balance runs out.","planPrice":"{plan}: {price}/mo","growthReason":"Required: API/MCP access and automation start on the Growth plan.","packageLabel":"{credits} credits","stackedPackageLabel":"{count}× {credits} credits","packagePrice":"{package} (+{price})","savings":"You saved {amount} ({discount}% off the base rate) on the top-up","leftover":"{credits} credits left over for other enrichments","planNames":{"starter":"Starter","growth":"Growth"},"matcherHint":"= {credits} credits at {rate} credits per {mode, select, salesnav {lookup} other {successful lookup}}"},"process":{"eyebrow":"The Process","title":"How it Works","description":"Match websites and LinkedIn pages in either direction with one lookup.","steps":[{"label":"Step 1","title":"Upload your company list","body":"Import a CSV or Excel file with one company per row. The column can hold websites and domains, or LinkedIn company page URLs, including Sales Navigator links."},{"label":"Step 2","title":"Pick the matching direction","body":"Set Matching Type to get the LinkedIn company page from a website, or the website from a LinkedIn company page. Datablist checks company datasets first and can use Google Search and LinkedIn page lookups to find or validate a match."},{"label":"Step 3","title":"Get clean URLs and a confidence score","body":"Add the outputs you need: company name, website, standard LinkedIn URL, confidence and status. You pay 1.5 credits for each successful lookup and nothing for a miss."}]},"customers":{"title":"Trusted by fast-growing startups and Fortune 500 teams","alts":["Uber","","Datadog","FedEx","Zendesk","valantic","SEON","SAP"]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"templates":{"eyebrow":"Workflows","title":"Templates","description":"Jumpstart your lead generation and outreach with pre-configured enrichment recipes.","cards":[{"title":"Company Name to LinkedIn Url","description":"Search for the LinkedIn URL using a company name.","imageAlt":""},{"title":"LinkedIn Company Pages","description":"Find LinkedIn company pages from company names.","imageAlt":""},{"title":"Company Name to Website","description":"Find the website that matches a company name.","imageAlt":""}]},"tutorials":{"eyebrow":"Guides","title":"Related Tutorials","description":"Explore actionable step-by-step guides on lead prospecting, data enrichment, and list cleaning.","cards":[{"title":"3Min Guide: Get Website URLs From LinkedIn Company Pages","imageAlt":"3Min Guide: Get Website URLs From LinkedIn Company Pages"},{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"}]},"related":{"eyebrow":"Integrations","title":"Related Enrichments","description":"Pair the matcher with complementary data tools in Datablist.","cards":[{"title":"Company Enrichment","description":"Enrich companies from a domain or LinkedIn URL with basic or live LinkedIn data.","imageAlt":""},{"title":"LinkedIn Company Page Scraper","description":"Extract public information from LinkedIn company pages.","imageAlt":""},{"title":"Website Finder","description":"Find websites from company names in just a few clicks.","imageAlt":""}],"action":"See All Enrichments"},"free":{"eyebrow":"Free Tools","title":"Try It Free First","description":"Free versions of related tools, to try on a few rows before you scale up.","cards":[{"title":"Free Domain Finder","description":"Paste company names and find their websites. Free, no credit card required.","imageAlt":""},{"title":"Free Company Name Cleaner","description":"Normalize company names: legal suffixes stripped, casing fixed, duplicates flagged.","imageAlt":""},{"title":"Free LinkedIn Profile Scraper","description":"Extract public data points from a profile URL. No login, cookies or session ID.","imageAlt":""}],"action":"See All Free Tools"},"faq":{"eyebrow":"FAQ","title":"Frequently Asked Questions","description":"Answers to common questions about matching directions, billing and URL formats."},"guide":{"hero":{"title":"How to use Datablist's LinkedIn Company URL/Website Lookup","description":"Run Datablist's LinkedIn Company URL/Website Lookup on your own list in 6 steps, no code needed. The settings reference and answers to common questions follow the guide.","trust":["Easy to Use","No Technical Configuration","Fully No-Code"],"logosAlt":["Alibaba.com","UNESCO","Amazon","Stoik","Airbus","","beehiiv","Synthflow"]},"toc":{"title":"Jump to a Section"},"title":"Step-by-Step Guide","reference":{"title":"Settings Reference","description":"A lookup for every setting, input and output. The step-by-step guide above covers everything you need to get started.","groups":[{"title":"Settings","rows":[["Matching Type","Text","Specify the type of conversion you need."]]},{"title":"Inputs","rows":[["Company URL or Company LinkedIn Url","-","Map a company website to get the Company LinkedIn Url, Or a Company LinkedIn Url to get the company website."]]},{"title":"Outputs","rows":[["Company Name","Text","The company name, when found."],["Company Website","Url","The company website (ex: https://www.google.com), when found."],["Company LinkedIn Url","Url","The clean company Linkedin Page (ex: https://www.linkedin.com/company/datablist/)."],["Confidence","Text","Confidence score: high (website validated) or low (not validated)"],["Status","Text","One of: success, not_found, empty_data, bad_data"]]}]},"cta":{"title":"Stop Doing Manually What Datablist Can Do in Seconds","body":"Give Datablist a try and see how easy workflow automation can be. 38,000+ users are already experiencing it!","label":"Talk to us"},"articles":{"title":"Related Articles","cards":[{"title":"3Min Guide: Get Website URLs From LinkedIn Company Pages","imageAlt":"3Min Guide: Get Website URLs From LinkedIn Company Pages"},{"title":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs","imageAlt":"Convert LinkedIn Sales Navigator URLs to LinkedIn Company Page URLs"},{"title":"Quick Guide: Enrich Company Data From Company Names","imageAlt":"Quick Guide: Enrich Company Data From Company Names"}]}},"corner":{"title":"Try it for Free","body":"Match company websites and LinkedIn pages in bulk. 38,000+ users already on Datablist.","label":"Try it for Free","close":"Close CTA"},"breadcrumb":"LinkedIn Company URL/Website Lookup"},"FAQ":{"TITLE":"뛰어난 분들이 자주 묻는 질문","WHAT_IS_TITLE":"Datablist란 무엇인가요?","WHAT_IS_TEXT":"Datablist는 AI 기반 스프레드시트로, 중복 제거, 정제, 가공, enrichment, workflow 자동화 등 어떤 작업이든 데이터를 가장 쉽게 다룰 수 있게 해줍니다.","TECHNICAL_TITLE":"Datablist는 기술 사용자에게 적합한가요?","TECHNICAL_TEXT":"Datablist는 데이터와 상호작용이 필요한 모든 분을 위한 제품입니다. 초보자부터 파워 유저까지, 스프레드시트 인터페이스와 학습 자료를 통해 바로 생산적으로 활용하실 수 있습니다.","INDUSTRIES_TITLE":"어떤 산업과 팀이 Datablist를 사용하나요?","INDUSTRIES_TEXT":"대부분의 고객은 영업, 이커머스 운영, SaaS 성장, 재무 분야에 있지만, 우리는 특정 산업이나 팀으로 한정하지 않습니다. 모든 산업과 팀을 지원합니다.","INTEGRATIONS_TITLE":"Datablist와 어떤 도구를 연동할 수 있나요?","INTEGRATIONS_TEXT":"Datablist는 다양한 CRM과 연동되며, scraper와 email finder 등 여러 구독 도구를 대체할 수 있습니다. 또한 다른 플랫폼에는 없는 AI Research Agent와 Deduplication Assistant 같은 도구도 제공합니다."},"FeatAIAgent":{"PAGE_TITLE":"AI Agent: 웹 리서치와 데이터 추출 자동화","PAGE_DESC":"Datablist의 AI Agent로 어떤 웹사이트든 스크레이핑하고, Google 검색을 자동화하며, 간단한 prompt로 구조화된 데이터를 추출하세요. 코드 작성은 필요 없습니다.","HERO_TITLE":"자동화된 AI 리서치 어시스턴트","DESCRIPTION":"수동 리서치에 시간을 낭비하지 마세요. 목표를 간단한 영어 prompt로 설명하면, 당사의 AI Agent가 Google을 검색하고 웹사이트를 탐색하여 필요한 정확한 데이터를 모두 자동으로 추출합니다.","FEATURE":"기능","POWERFUL_AUTOMATION":"강력한 자동화","100%ONLINE":"100% 온라인","EASY_TO_USE":"사용이 간편함","BEYOND_SCRAPING_TITLE":"기존 web scraping을 넘어","BEYOND_SCRAPING_DESC_1":"전통적인 web scraper는 고정된 규칙에 의존하며, 웹사이트 레이아웃이 변경되는 순간 쉽게 깨집니다. 맥락을 이해하지 못하고 복잡하고 동적인 사이트를 제대로 처리하지 못합니다.","BEYOND_SCRAPING_DESC_2":"당사의 AI Agent는 다릅니다. 고도화된 대규모 언어 모델에 의해 구동되어, 단순한 HTML 구조가 아니라 콘텐츠의 의미를 이해합니다. 사람처럼 웹사이트를 탐색하여 더욱 견고하고 다재다능하며 미묘한 정보까지 추출할 수 있습니다.","BEYOND_SCRAPING_DESC_3":"목표만 제시하면, 링크를 따라가고 결과를 페이지네이션하며 비정형 텍스트를 분석하는 것까지 목표 달성을 위한 단계를 스스로 계획하고 실행합니다.","HOW_IT_WORKS_TITLE":"AI Agent 작동 방식","HOW_IT_WORKS_DESC":"AI Agent는 단순하지만 강력한 프로세스로 귀하의 요청을 구조화된 데이터로 전환합니다.","STEP_1_TITLE":"1. 목표를 설정합니다","STEP_1_DESC":"시작 URL과 어떤 데이터를 추출하고 어떤 형식으로 정리할지에 대한 명확한 prompt를 제공하세요.","STEP_2_TITLE":"2. 에이전트가 탐색하고 이해합니다","STEP_2_DESC":"에이전트가 웹사이트를 방문해 JavaScript를 렌더링하고, 콘텐츠를 분석하여 맥락을 파악하고 관련 정보를 찾아냅니다.","STEP_3_TITLE":"3. 복잡한 페이지도 처리합니다","STEP_3_DESC":"여러 페이지에 걸친 목록을 스크레이핑해야 하나요? 페이지네이션만 활성화하세요. 에이전트가 '다음'을 지능적으로 찾아 클릭하여 모든 페이지에서 데이터를 수집합니다.","STEP_4_TITLE":"4. 데이터를 추출하고 구조화합니다","STEP_4_DESC":"귀하의 prompt에 따라 에이전트가 지정된 데이터 포인트를 추출하고, 미리 구성한 컬럼으로 깔끔하게 전달합니다.","USE_CASES_TITLE":"Lead Gen부터 시장 인텔리전스까지: 무한한 가능성","USE_CASE_LEAD_GEN_TITLE":"Lead Generation을 강화하세요","USE_CASE_LEAD_GEN_DESC":"대규모로 높은 관련성의 개인화 포인트를 찾으세요. 기업 케이스 스터디를 스크레이핑하고, 'About Us' 페이지에서 핵심 인력을 식별하거나, 독일 사이트의 'Impressum' 페이지에서 연락처 정보를 추출할 수 있습니다.","USE_CASE_LEAD_GEN_LINK":"케이스 스터디 스크레이핑 방법 보기","USE_CASE_ECOMMERCE_TITLE":"E-commerce 및 상품 스크레이핑","USE_CASE_ECOMMERCE_DESC":"어떤 e-commerce 스토어에서도 제품명, 가격, 사양, 설명을 추출하세요. 여러 카테고리 페이지에 걸쳐 있어도 문제 없습니다.","USE_CASE_ECOMMERCE_LINK":"e-commerce 사이트 스크레이핑 방법 알아보기","USE_CASE_REVIEWS_TITLE":"리뷰 및 감성 분석","USE_CASE_REVIEWS_DESC":"Trustpilot, Trusted Shops 같은 리뷰 플랫폼을 스크레이핑해 고객 피드백을 집계하세요. 감성 분석을 수행하고 공통 주제를 파악하여 시장을 이해합니다.","USE_CASE_REVIEWS_LINK":"Trustpilot 스크레이핑 가이드","USE_CASE_RESEARCH_TITLE":"자동화된 시장 조사","USE_CASE_RESEARCH_DESC":"스프레드시트의 각 행에 대해 반복되는 Google 검색을 자동화하세요. 경쟁사 뉴스를 모니터링하고 업계 트렌드를 추적하거나, 수작업 없이 보고서 작성을 위한 데이터를 수집할 수 있습니다.","USE_CASE_RESEARCH_LINK":"Google 검색 자동화 방법 알아보기","VIDEO_TITLE":"AI Agent 작동 모습 보기","VIDEO_TEXT":"AI Agent가 독일 웹사이트 목록을 방문해 'Impressum' 페이지를 찾고, 구조화된 연락처 정보를 추출하는 과정을 확인하세요. 이는 기존 스크레이퍼로는 불가능한 작업입니다.","TALK_TO_US_TEXT":"웹 리서치를 오토파일럿으로 전환할 준비가 되셨나요? AI Agent를 사용해 비정형 웹 데이터를 실행 가능한 인사이트로 전환해 보세요.","CSV_EDITOR_DESCRIPTION":"온라인에서 CSV 파일을 관리하는 현대적인 CSV 에디터. 브라우저에서 직접 데이터를 열고 편집하세요.","LEAD_LIST_BUILDING":"lead 리스트를 구축하고 정제 및 보강하세요","LEAD_BUILDING_DESCRIPTION":"대용량 lead 리스트를 깊이 있게 파고드는 최고의 도구입니다. 정리하고 보강하여 최적의 잠재고객을 찾아보세요."},"FeatAIEditing":{"PAGE_TITLE":"AI Editing: prompt로 Excel & CSV 작업 자동화","PAGE_DESC":"복잡한 수식과 매크로를 대체하세요. Datablist의 AI Editing 기능으로 간단한 prompt만으로 대량 데이터 정리, 변환, 분석을 수행하세요.","HERO_TITLE":"AI로 스프레드시트 작업을 자동화하세요","DESCRIPTION":"복잡한 수식과 씨름하지 마세요. 필요한 것을 간단한 영어로 설명하면, AI가 몇 초 만에 데이터 정리, 변환, 분석을 위한 완벽한 스크립트를 생성합니다.","FEATURE":"기능","UNLIMITED":"무제한 사용","100%ONLINE":"100% 온라인","NO_CODE":"노코드","REPLACE_FORMULAS_TITLE":"간단한 prompt로 수식을 대체하세요","REPLACE_FORMULAS_DESC_1":"VLOOKUP 구문을 찾아보거나 복잡한 Excel 수식을 디버깅하는 데 지치셨나요? AI Editing으로 수식 스트레스와 작별하세요.","REPLACE_FORMULAS_DESC_2":"하려는 작업을 그대로 적으세요. 그러면 AI가 즉시 작업을 처리할 맞춤 스크립트를 생성합니다. 데이터 전문가가 곁에서 모든 조작을 자동화해 주는 것과 같습니다.","REPLACE_FORMULAS_DESC_3":"회사명을 정리하고, 주소를 표준화하고, leads를 점수화하는 작업까지, AI Editing이 귀하의 지시를 실행으로 전환합니다.","HOW_IT_WORKS_TITLE":"작동 방식: prompt에서 완벽한 데이터까지 4단계","STEP_1_TITLE":"1. 데이터 가져오기","STEP_1_DESC":"CSV 또는 Excel 파일을 Datablist에 업로드하세요. 당사 플랫폼은 대용량 데이터세트를 손쉽게 처리하므로 전체 리스트를 한 번에 작업할 수 있습니다.","STEP_2_TITLE":"2. AI Editing 열기","STEP_2_DESC":"'Edit' 메뉴로 이동해 'AI Editing'을 선택하세요. 그러면 모든 마법이 일어나는 prompt 인터페이스가 열립니다.","STEP_3_TITLE":"3. prompt 작성","STEP_3_DESC":"수행하려는 작업을 설명하세요. /ColumnName을 입력해 변수를 사용하고 데이터 컬럼을 참조할 수 있습니다. 필요할 만큼 구체적으로 작성하세요!","STEP_4_TITLE":"4. 미리보기 후 실행","STEP_4_DESC":"AI가 스크립트를 생성하고 변경 사항의 라이브 미리보기를 보여줍니다. 이상 없으면 'Run'을 클릭해 전체 리스트를 즉시 처리하세요.","USE_CASES_TITLE":"강력한 활용 사례를 확인하세요","USE_CASE_FIND_REPLACE_TITLE":"대량 찾기 및 바꾸기","USE_CASE_FIND_REPLACE_DESC":"하나의 지시로 데이터셋 전체에서 수백 개의 용어를 바꿉니다. 카테고리 표준화, 흔한 오타 수정, 제품 정보 업데이트에 최적입니다.","USE_CASE_FIND_REPLACE_LINK":"대량 찾기 & 바꾸기 자세히 보기","USE_CASE_CLEANING_TITLE":"고급 데이터 클렌징","USE_CASE_CLEANING_DESC":"회사명과 같은 복잡한 데이터를 법적 접미사(LLC, Inc.) 제거, 직함·주소 표준화 등으로 정리·정규화합니다.","USE_CASE_CLEANING_LINK":"회사명 클렌징 방법 보기","USE_CASE_SCORING_TITLE":"맞춤형 Lead & Data Scoring","USE_CASE_SCORING_DESC":"데이터의 여러 기준에 기반한 정교한 스코어링 모델을 구축하세요. 점수를 부여하고, leads를 순위화하며, 단 하나의 수식 없이 리스트를 우선순위화할 수 있습니다.","USE_CASE_SCORING_LINK":"AI로 leads를 스코어링하는 방법 배우기","USE_CASE_TRANSFORM_TITLE":"복잡한 데이터 변환","USE_CASE_TRANSFORM_DESC":"텍스트의 특정 부분 추출부터 조건부 로직 수행까지, 표준 스프레드시트 함수로는 거의 불가능한 변환을 AI Editing이 처리합니다.","USE_CASE_TRANSFORM_LINK":"데이터 클렌징 예시 더 보기","VIDEO_TITLE":"AI Editing 시연 보기","LEAD_BUILDING_DESCRIPTION":"대용량 lead 리스트를 깊이 탐색하는 데 최적의 도구. 정리하고, enrichment를 수행하고, 이상적인 잠재고객을 찾아보세요.","VIDEO_TEXT":"간단한 prompt로 카탈로그 단위를 업데이트하는 방법을 확인하세요. 수식도 번거로움도 없습니다.","TALK_TO_US_TEXT":"스프레드시트 수작업으로 시간을 낭비하는 일을 이제 그만하시겠습니까? 지금 AI Editing을 사용해 보고, 데이터 workflow를 오늘 바로 혁신하세요!","CSV_EDITOR_DESCRIPTION":"온라인에서 CSV 파일을 관리할 수 있는 현대적인 CSV 에디터. 브라우저에서 직접 데이터를 열고 편집하세요","LEAD_LIST_BUILDING":"lead 리스트를 구축하고 클렌징하며 enrichment를 수행하세요","SEE_ALSO":"관련 항목 보기"},"FeatCombine":{"PAGE_TITLE":"CSV 파일을 무료로 통합 및 병합","PAGE_DESC":"공통 식별자 컬럼을 기준으로 CSV 데이터 리스트를 결합하세요.","FEATURE":"기능","NOSIGNUP":"회원가입 없이 사용 가능","100%ONLINE":"100% 온라인","EASY_TO_USE":"쉽게 사용 가능","HERO_TITLE":"CSV 파일을 무료로 통합 및 병합","HERO_DESC":"공통 식별자 컬럼을 기준으로 CSV 데이터 리스트를 결합하세요.","DATA_RECONCILIATION_DEF":"데이터 정합(Data Reconciliation)이란?","DATA_RECONCILIATION_DEF_DESC_1":"데이터 정합은 서로 다른 소스의 데이터를 비교하고 정렬(일치)시키는 과정입니다. 관련 정보가 여러 데이터 소스에 분산되어 있을 때 주로 수행됩니다.","DATA_RECONCILIATION_DEF_DESC_2":"이러한 소스에는 데이터베이스, 스프레드시트, 소프트웨어 시스템, 심지어 수기 기록까지 포함될 수 있습니다. 목표는 데이터를 정합화하여 단일하고 신뢰할 수 있으며 일관된 데이터셋을 만드는 것입니다.","DATA_RECONCILIATION_DEF_DESC_3":"데이터 정합은 흩어진 데이터를 연결해 의사결정에 유용한 인사이트를 제공합니다. 회계, 재고 관리, 마케팅 등에서 일반적으로 활용됩니다.","JOIN_TITLE":"CSV 파일을 하나의 컬렉션으로 결합","JOIN_DESC_1":"Google Sheets나 Microsoft Excel은 회계 작업에 좋은 도구지만 데이터 관리 기능은 부족합니다. 데이터 사이언티스트를 위한 ETL(Extract, Transform, Load; 추출·변환·적재) 같은 전문 도구도 있지만, 비기술 사용자에게는 접근성이 떨어집니다.","JOIN_DESC_2":"Datablist에서는 CSV 파일을 통합하는 데 사용할 속성만 지정하면 나머지는 도구가 처리합니다.","SEE_TUTO":"튜토리얼 보기","TALK_TO_US_TEXT":"Datablist를 사용해 리스트 통합이 얼마나 쉬운지 확인해 보세요. 18,000+ 사용자가 이미 경험하고 있습니다!","MERGE_TITLE":"여러 소스의 데이터를 병합","MERGE_DESC_1":"디지털 환경에서 리스트 관리는 매우 빈번한 작업입니다. 다음과 같은 경우:","MERGE_EX_1":"고객에 대한 단일 뷰 구축","MERGE_EX_2":"여러 소스에서 잠재고객 리스트 생성","MERGE_EX_3":"메일링 리스트를 연락처 정보로 보강","MERGE_DESC_2":"데이터를 병합하고 관리하려면 Datablist 같은 도구가 필요합니다.","WHEN_COMBINE_DATA":"데이터 파일을 언제 결합해야 하나요?","WHEN_COMBINE_TITLE_1":"고객 파일 통합","WHEN_COMBINE_DESC_1":"고객 파일을 통합해 단일 고객 뷰를 만드는 것은 매우 중요합니다. 기업이 영업, 마케팅, 고객 지원, 온라인 플랫폼 등 다양한 접점에서 고객과 상호작용하면, 가치 있는 데이터가 여러 시스템과 데이터베이스에 흩어집니다. 고객의 email 주소나 다른 고유 식별자를 기준으로 데이터를 결합하세요. 그러면 마케팅, 영업, 고객 서비스 등 모든 팀이 통합되고 포괄적인 뷰에 접근할 수 있습니다.","WHEN_COMBINE_TITLE_2":"제품 카탈로그로 주문 데이터 보강","WHEN_COMBINE_DESC_2":"이커머스에서는 보통 두 가지 주요 리스트를 관리합니다: 제품 리스트와 주문 리스트. 주문 리스트에는 구매된 제품에 대한 참조가 있습니다. 제품 특성 정보를 주문 리스트와 통합하면 판매에서 주요 인사이트(예: 많이 판매되는 카테고리)를 얻을 수 있습니다. 웹사이트 트래픽 통계 등 외부 데이터도 함께 통합할 수 있습니다.","WHEN_COMBINE_TITLE_3":"기업 데이터를 집계해 잠재고객 리스트 구축","WHEN_COMBINE_DESC_3":"잠재고객 리스트를 구축할 때 기업에 대한 데이터가 많을수록 더 정교한 세분화가 가능합니다. 데이터 통합은 외부 데이터 소스로 <doc>잠재고객 리스트를 보강</doc>하는 데 유용합니다. 예를 들어 직원 수, 최신 투자 라운드, 매출, 웹 트래픽 추정치 등입니다. 잠재고객에 대한 정확하고 최신 정보를 확보하면 lead scoring을 개선하고 비적격 잠재고객에 들이는 시간을 줄일 수 있습니다.","WHEN_COMBINE_LINK_3":"잠재고객 리스트 구축 더 알아보기","WHEN_COMBINE_TITLE_4":"마케팅 데이터로 leads 보강","WHEN_COMBINE_DESC_4":"웹사이트 애널리틱스, 소셜 미디어 지표, 고객 상호작용 등 다양한 소스의 데이터를 통합하면 오디언스에 대한 총체적 뷰를 얻을 수 있습니다. 데이터 통합의 대표적 활용은 email 캠페인 결과를 leads 리스트에 반영하는 것입니다. email을 열거나 클릭한 leads를 식별해 LinkedIn 등 다른 소셜 채널로 타깃팅하세요. 통합된 데이터로 leads를 보강하면 전환율이 향상되고 관심 없는 leads에 시간과 비용을 낭비하지 않게 됩니다."},"FeatDuplicates":{"PAGE_TITLE":"무료 중복 제거 도구","PAGE_DESC":"여러 컬럼 중 하나를 기준으로 리스트의 중복을 제거하세요. No-Code 구성으로 비기술 사용자도 쉽게 사용할 수 있습니다.","SEE_ALSO":"함께 보기","LEARN_MORE":"자세히 알아보기","GET_STARTED":"지금 시작하기!","FEATURE":"기능","NOSIGNUP":"회원가입 없이 사용 가능","100%ONLINE":"100% 온라인","EASY_TO_USE":"사용이 간편함","NO_TECHNICAL_REQUIRED":"기술 지식 불필요","NOCODE_CONF":"No-Code 구성","EXPORT_CSV_TITLE":"CSV 또는 Excel 파일로 내보내기","EXPORT_CSV_DESC_1":"데이터를 다른 애플리케이션이나 스프레드시트로 옮겨야 하나요?","EXPORT_CSV_DESC_2":"<0>데이터의 소유권은 항상 사용자에게 있습니다</0>. 선택한 항목만 또는 전체 컬렉션을 CSV 또는 Microsoft Excel 파일로 내보내세요.","EXPORT_CSV_DESC_3":"생성된 CSV 파일은 Google Sheets 및 대부분의 일반 애플리케이션과 호환됩니다.","OK_GO":"좋습니다, 시작하겠습니다!","RESOURCES":"리소스","AI_TITLE":"AI 기반 중복 처리","AI_TEXT":"간단한 prompt로 새 데이터를 생성하고 기존 정보를 편집하며, 처음부터 시스템을 구축하세요.","CSV_EDITOR_DESCRIPTION":"온라인에서 CSV 파일을 관리할 수 있는 최신 CSV 편집기. 브라우저에서 바로 데이터를 열고 편집하세요.","LEAD_BUILDING_DESCRIPTION":"대용량 lead 리스트를 심층 분석하기 위한 최적의 도구. 정리하고, Enrich하고, 최적의 잠재고객을 찾아보세요.","COMBINE_DESCRIPTION":"여러 소스의 목록 파일을 하나의 컬렉션으로 결합하세요. 비기술 사용자도 쉽게 사용할 수 있습니다.","TALK_TO_US_TEXT":"Datablist를 사용해 보시고 데이터 매칭과 레코드 중복 제거가 얼마나 쉬운지 확인하세요. 이미 18,000명 이상의 사용자가 경험하고 있습니다!","HERO_TITLE":"무료 중복 제거 도구","DESCRIPTION":"드디어 Excel을 대체할 쉬운 중복 제거 도구. CSV 또는 Excel 파일에서 중복 값을 찾고, 병합하거나 제거하세요.","DEDUPLICATION_DEF_TITLE":"데이터 중복 제거란 무엇인가요?","DEDUPLICATION_DEF_DESC_1":"데이터 중복 제거, 또는 <doc>deduping</doc>은 데이터셋에서 중복 레코드를 제거하는 과정입니다.","DEDUPLICATION_DEF_DESC_2":"고유한 엔트리 목록을 만들려면 deduping이 필요합니다. 메일링 리스트를 사용하는 마케팅, lead generation, 고객 관리에서, 또는 전자상거래의 상품 카탈로그 관리에서요. 두 엔트리가 동일한 개체를 참조할 때 중복입니다. 같은 email 주소를 가진 두 leads, 또는 동일한 바코드를 가진 두 상품 등입니다.","DEDUPLICATION_DEF_DESC_3":"중복은 데이터 품질을 떨어뜨리고 생산성을 저하시킵니다. 중복을 없애는 방법은 두 가지입니다: 삭제하거나, 유사한 엔트리를 하나로 병합하는 것입니다.","DEDUPLICATION_DEF_DESC_4":"중복 삭제는 간단합니다. 중복 제거 알고리즘이 중복 엔트리를 찾아 하나를 남기고 나머지를 삭제합니다. 중복 병합은 중복 엔트리를 분석해 하나의 마스터 레코드로 결합해야 합니다.","DUPLICATES_MODE_TITLE":"단일 또는 여러 컬렉션에서 전체 혹은 일부 항목 분석","DUPLICATES_MODE_DESC_1":"Datablist Duplicates Finder는 항목 전체 비교 또는 선택한 속성 비교로 동작합니다.","DUPLICATES_MODE_DESC_2":"Selected Properties 모드를 사용해 email 주소 기반으로 중복 연락처를 찾거나, 회사 리스트에서 웹사이트 URL을 사용해 중복을 감지하세요.","DUPLICATES_MODE_DESC_3":"Datablist Duplicates Finder는 하나 또는 여러 리스트에서 동작합니다. 여러 리스트를 대상으로 할 때는 필드 매핑을 사용해 데이터셋 간 레코드를 비교합니다.","MERGE_TITLE":"중복 삭제 또는 통합","DUPLICATES_PREVIEW_TITLE":"중복 미리보기","DUPLICATES_PREVIEW_DESC_1":"Datablist는 발견된 중복을 나열해 어떤 작업을 수행할지 사용자가 결정할 수 있게 합니다.","DUPLICATES_PREVIEW_DESC_2":"세부 정보 패널에서 중복 항목을 열어 정보를 편집하고 병합하세요. 또는 단순히 중복을 삭제할 수 있습니다.","DUPLICATES_AUTO_MERGING_TITLE":"충돌 없는 중복 항목 자동 병합","DUPLICATES_AUTO_MERGING_DESC_1":"Datablist는 정보 손실 없이 병합 가능한 모든 중복 값을 자동으로 찾습니다.","DUPLICATES_AUTO_MERGING_BULLET_1":"모든 중복 항목의 속성 값이 동일한 경우 하나의 항목만 유지되고 나머지는 삭제됩니다.","DUPLICATES_AUTO_MERGING_BULLET_2":"중복 항목이 상호 보완적일 경우, 정보가 가장 많은 항목을 기본 항목으로 선택하고 다른 항목의 속성 값으로 비어 있는 값을 채웁니다. 이후 기본 항목을 제외한 모든 항목이 삭제됩니다.","DUPLICATES_AUTO_MERGING_BULLET_3":"중복 항목 간 속성 값이 충돌하면 해당 항목은 자동 병합을 건너뛰고 수동 병합 대상으로 표시됩니다.","MERGING_ASSISTANT_TITLE":"또는 병합 도우미로 충돌 값을 수동으로 확인","MERGING_ASSISTANT_DESC_1":"자동 병합이 불가능할 때는 Datablist 병합 도우미로 유지할 값을 선택해 항목을 통합하세요.","MERGING_ASSISTANT_DESC_2":"정보가 가장 많은 항목이 마스터 항목으로 선택되며, 보조 항목의 보완 값들을 전달받습니다.","DUPLICATES_DEDUPE_TITLE":"사용이 쉬운 중복 제거 도구","DUPLICATES_DEDUPE_DESC_0":"기존 중복 제거 도구는 기술 사용자만을 대상으로 하며, 끝없는 설정으로 사용이 어렵습니다.","DUPLICATES_DEDUPE_DESC_1":"Datablist로 데이터 조작은 쉬워집니다! 데이터 중복 제거가 드디어 모두에게 접근 가능합니다.","DUPLICATES_DEDUPE_DESC_2":"웹 브라우저에서 수십만 건의 레코드를 직접 중복 제거하세요.","DUPLICATES_AUTO_MERGE_TITLE":"가져오기 중 자동 병합","DUPLICATES_AUTO_MERGE_DESC_1":"Duplicates Finder와 더불어 컬렉션 속성에 'Unique values' 설정을 적용할 수 있습니다.","DUPLICATES_AUTO_MERGE_DESC_2":"데이터 가져오기 중, 가져온 파일의 항목이 컬렉션에 이미 있거나 파일 내에서 중복되면, 설정한 병합 모드에 따라 데이터가 병합되거나 삭제됩니다.","DATA_DEDUP_WHEN_TITLE":"데이터 중복 제거는 언제 사용하나요?","DATA_DEDUP_WHEN_MAIL_TITLE":"메일링 리스트 중복 제거","DATA_DEDUP_WHEN_MAIL_DESC_1":"시간이 지나면 웨비나 참가자, 구매자, freemium 사용자 등 여러 출처의 데이터가 메일링 리스트로 유입됩니다. 하나의 email 주소가 메일링 리스트에 여러 번 등장할 수 있습니다.","DATA_DEDUP_WHEN_MAIL_DESC_2":"중복 email 주소는 추가 비용을 유발하고 스팸성 동작으로 보일 수 있으며, 수신 거부 후에도 메일을 계속 받게 되면 사용자 불만을 초래할 수 있습니다.","DATA_DEDUP_WHEN_MAIL_LINK":"메일링 리스트 클린업 방법","DATA_DEDUP_WHEN_EXCEL_TITLE":"Microsoft Excel 중복 제거","DATA_DEDUP_WHEN_EXCEL_DESC_1":"Google Sheets, Microsoft Excel 등 스프레드시트 도구는 기본 중복 제거 기능을 제공합니다. 컬럼의 중복 값을 하이라이트하거나 삭제합니다. 복잡한 중복 레코드는 Datablist의 자동 병합과 수동 병합 도우미로 처리하세요.","DATA_DEDUP_WHEN_EXCEL_DESC_2":"Datablist는 CSV와 Excel 파일을 모두 열 수 있습니다.","DATA_DEDUP_WHEN_EXCEL_LINK":"Excel 파일 중복 제거 방법","DATA_DEDUP_WHEN_LEAD_TITLE":"Lead 및 잠재고객 중복 제거 도구","DATA_DEDUP_WHEN_LEAD_DESC_1":"B2B 마케팅에서 잠재고객 데이터베이스의 품질은 캠페인 성과에 직접적인 영향을 줍니다. <doc>중복 leads</doc>가 포함된 지저분한 리스트는 저장 비용을 증가시키고, lead 추적 효율을 떨어뜨리며, 영업팀에 좌절감을 줍니다.","DATA_DEDUP_WHEN_LEAD_DESC_2":"Datablist로 <doc>lead generation</doc> 프로세스를 관리하세요. 또는 CRM 데이터나 lead 리스트를 Datablist로 가져와 정리하세요.","DATA_DEDUP_WHEN_LEAD_LINK":"lead 리스트 중복 제거 방법","DATA_DEDUP_WHEN_CSV_TITLE":"CSV 파일 중복 제거","DATA_DEDUP_WHEN_CSV_DESC_1":"CSV 데이터 클린업은 시간이 많이 듭니다. 데이터 엔지니어는 보통 Python 같은 프로그래밍 언어로 CSV를 파싱하고 정리합니다. Datablist는 비기술 사용자를 위한 No-Code 도구를 제공해 <a1>CSV 파일</a1>로 데이터 클린업을 수행할 수 있게 합니다. <a2>수십만 행의 CSV 파일을 열어</a2> 빠르게 중복 레코드를 제거하세요.","DATA_DEDUP_WHEN_CSV_LINK":"CSV 파일 중복 제거 방법","SEE_ALSO_CSV_EDITOR":"CSV 편집기","SEE_ALSO_GUIDE_EXCEL":"가이드: 데이터 손실 없이 Excel 파일의 중복 행 병합","SEE_ALSO_GUIDE":"가이드: CSV 중복 제거","SEE_ALSO_GUIDE_LARGE_CSV":"가이드: 대용량 CSV 파일을 온라인에서 편집","SEE_ALSO_COMBINE":"CSV 파일 결합","LEAD_LIST_BUILDING":"리드 리스트를 Build, Clean, Enrich 하세요","FIND_DUPLICATE_ONLINE_TITLE":"온라인에서 중복 찾기 및 제거","FIND_DUPLICATE_ONLINE_DESC_1":"데이터 내 중복을 즉시 탐지하고 병합·제거하세요. 사용자 친화적인 웹 인터페이스로 어떤 기기에서든 복잡한 설치 없이 편리하게 접근할 수 있습니다.","FIND_DUPLICATE_ONLINE_DESC_2":"Datablist는 고급 알고리즘으로 중복을 신속하게 식별해 시간을 절약하고 오류를 방지합니다. 수작업 검색은 끝내고, 더 효율적인 workflow를 시작하세요.","FUZZY_MATCHING_TITLE":"Fuzzy Matching을 활용한 중복 제거","FUZZY_MATCHING_ONLINE_DESC_1":"Fuzzy 중복 제거 알고리즘은 레코드 간 거리를 계산합니다. 임계값을 사용해 두 레코드가 얼마나 유사한지 정의합니다. 정확 일치와 달리 <0>fuzzy matching</0>은 오타, 약어, 사소한 차이까지 지능적으로 인식합니다.","FUZZY_MATCHING_ONLINE_DESC_2":"Datablist는 <0>Levenshtein</0> 및 <1>Jaro-Winkler</1> 거리 알고리즘을 구현합니다.","CONSOLIDATE_DUPES_TITLE":"중복을 통합해 단일 레코드로 유지","CONSOLIDATE_DUPES_DESC_1":"단순 병합만으로 충분하지 않을 때는 고급 기능을 사용하세요. 중복 레코드를 결합하거나 불필요한 값을 제거해 통합할 수 있습니다.","CONSOLIDATE_DUPES_DESC_2":"Datablist가 충돌하는 필드를 나열하고 처리 방법을 선택하게 해줍니다. 데이터 연결(Concatenation)에는 Combine values를, 하나의 마스터 레코드 값만 유지하려면 Drop values를 사용하세요.","SEE_ALSO_RESEARCH_AGENT":"AI Research Agent","RESEARCH_AGENT_DESCRIPTION":"Datablist의 AI Agent로 어떤 웹사이트든 스크랩하고, Google 검색을 자동화하며, 간단한 prompt로 구조화된 데이터를 추출하세요. 코드 작성은 필요 없습니다.","FAQ_Q1":"Duplicates Finder는 무료인가요?","FAQ_A1":"예. 온라인에서 무료로 중복을 찾고 병합할 수 있습니다. Exact 및 smart matching 같은 기본 기능은 계정 없이도 사용 가능합니다. Fuzzy나 phonetic matching 같은 고급 알고리즘은 유료 요금제가 필요합니다.","FAQ_Q2":"Excel의 '중복 제거' 기능과 어떤 점이 다른가요?","FAQ_A2":"Excel은 중복 행을 영구적으로 삭제하여 잠재적으로 가치 있는 데이터를 잃을 수 있습니다. Datablist는 레코드를 병합해 모든 중복에서 보완 정보를 지능적으로 결합하여 하나의 완전한 마스터 레코드로 만듭니다. 어떤 데이터도 잃지 않습니다.","FAQ_Q3":"얼마나 큰 리스트까지 중복 제거할 수 있나요?","FAQ_A3":"Datablist는 대용량 파일 처리를 위해 설계되었습니다. 무료 요금제에서는 최대 100만 행, 유료 요금제에서는 최대 150만 행까지 처리할 수 있어, 전통적인 스프레드시트 도구의 한계를 훨씬 뛰어넘습니다.","FAQ_Q4":"오타나 약간의 차이가 있는 중복도 찾을 수 있나요?","FAQ_A4":"물론입니다. Levenshtein, Jaro-Winkler 거리와 같은 고급 fuzzy matching 알고리즘을 사용해 철자 오류, 오타, 경미한 포맷 차이가 있어도 유사한 레코드를 식별합니다.","FAQ_Q5":"한 셀에 email이 두 개 있는 등 다중 값 필드는 어떻게 처리하나요?","FAQ_A5":"그런 경우를 위해 설계되었습니다. \"Multiple Value Matching\"을 활성화하면 셀 내 각 값을(세미콜론으로 구분) 별도의 엔트리로 간주해 비교합니다. 값 중 하나만 중복이어도 일치로 판단합니다.","FAQ_Q6":"여러 CSV 또는 Excel 파일에 걸쳐 중복을 찾을 수 있나요?","FAQ_A6":"예. 여러 파일을 Datablist로 가져온 뒤, 전부를 대상으로 Duplicates Finder를 실행할 수 있습니다. 파일의 컬럼이나 구조가 달라도 공통 식별자를 기준으로 레코드를 매칭할 수 있습니다.","FAQ_Q7":"사용하려면 코드를 알아야 하나요?","FAQ_A7":"전혀 아닙니다. Datablist는 완전한 no-code 솔루션입니다. Duplicates Finder가 단계별로 안내하며, 사용자 친화적 인터페이스에서 컬럼과 매칭 규칙을 선택하기만 하면 됩니다.","FAQ_Q8":"중복 병합에 AI는 어떤 도움을 주나요?","FAQ_A8":"우리의 AI Editing 기능은 무제한의 유연성을 제공합니다. 표준 병합 규칙 대신 평이한 영어로 지시문을 작성할 수 있습니다. 예를 들어, 중복 항목의 매출 수치를 합산하거나 최신 날짜를 기준으로 마스터 레코드를 선택하라고 요청할 수 있습니다. 복잡한 로직을 단순한 요청으로 바꿔줍니다.","FAQ_Q9":"중복을 병합하면 내 데이터는 어떻게 되나요?","FAQ_A9":"Datablist는 데이터를 하나의 마스터 레코드로 통합합니다. 다른 중복에서 누락된 정보를 자동으로 채워주고, 충돌 데이터에 대한 옵션도 제공합니다. 서로 다른 행의 텍스트를 결합하거나 유지할 값을 선택할 수 있습니다. 중복된 레코드는 제거됩니다.","FAQ_Q10":"어떤 매칭 알고리즘을 사용할 수 있나요?","FAQ_A10":"용도에 따라 여러 알고리즘을 제공합니다. 동일 일치에는 'Exact', 단어 순서나 URL 프로토콜 차이 등 변형에는 'Smart', 발음이 비슷한 이름에는 'Phonetic', 오타와 철자 오류에는 'Fuzzy Matching'이 적합합니다.","FAQ_Q11":"병합 전에 중복 그룹 목록을 내보내 검토할 수 있나요?","FAQ_A11":"예. Datablist가 모든 중복 그룹을 식별한 뒤, 변경을 적용하기 전에 CSV 또는 Excel 파일로 내보낼 수 있습니다. 이 파일은 각 중복 그룹을 연속으로 나열해 외부에서 검토하거나 다른 도구로 처리하기 쉽게 합니다.","FAQ_Q12":"Datablist에서 중복을 병합한 후 CRM은 어떻게 업데이트하나요?","FAQ_A12":"병합을 완료하면 Datablist가 다운로드 가능한 'Changes List'를 제공합니다. 이 파일은 처리 중 업데이트되거나 삭제된 모든 레코드를 기록한 로그 역할을 합니다. 이 파일을 사용해 CRM 같은 외부 시스템에서도 변경을 손쉽게 반영하여 데이터 동기화를 유지할 수 있습니다."},"CSVEditor":{"PAGE_TITLE":"무료 온라인 CSV 편집기 및 뷰어","PAGE_DESC":"CSV 파일을 온라인으로 관리하는 현대적인 CSV 편집기입니다. 브라우저에서 직접 데이터를 열고 편집하세요.","HEADER_TITLE":"온라인 CSV 편집기 및 뷰어","HEADER_DESC_1":"Leads, 고객, 제품 CSV 파일을 온라인에서 탐색하고 편집하세요.","NO_SIGNUP":"회원가입 없이 사용","ONLINE_100":"100% 온라인","NO_CODE_CONFIG":"노코드 구성","CSV_DEF_TITLE":"CSV 파일이란?","CSV_DEF_DESC_1":"CSV는 'Comma Separated Value(s)'의 약자로, 텍스트 파일을 사용해 구조화된 데이터를 저장하는 형식입니다. CSV 파일에서 각 줄은 하나의 데이터 레코드이며, 각 레코드는 쉼표(또는 세미콜론 ';', 탭 문자)로 구분된 필드로 구성됩니다.","CSV_DEF_DESC_2":"CSV 파일은 애플리케이션 간 데이터를 전송하는 일반적인 방식입니다. 텍스트 파일 기반이기 때문에 데이터베이스나 스프레드시트 데이터를 내보내기에 간단한 형식입니다.","EDIT_TITLE":"CSV 파일을 온라인으로 열기","EDIT_DESC_1":"웹 브라우저에서 CSV 파일을 바로 업로드하세요. Datablist CSV Editor가 CSV 열 구분자를 자동으로 감지합니다.","EDIT_DESC_2":"가져올 CSV 열을 선택하고 데이터 유형을 지정하세요: Text, LongText, Date, Number, Email address 등.","EDIT_DESC_3":"가져온 후, Datablist로 원하는 속성으로 정렬하고 전체 텍스트 검색으로 데이터를 필터링하세요.","DATA_MANIP_TITLE":"CSV 파일을 정리하고 통합하세요","DATA_MANIP_DESC":"데이터 조작에 더 이상 Excel이나 Google Sheets를 사용하지 마세요 😱!","WHY_USE_CSV_TITLE":"왜 Datablist의 CSV 편집기를 써야 할까요?","WHY_USE_CSV_BLOC_TITLE_1":"메일링 리스트를 정리하세요","WHY_USE_CSV_BLOC_DESC_1":"Email 리스트는 사용자에게 도달하는 최적의 방법입니다. 하지만 시간이 지나면 리스트가 지저분해집니다. Datablist로 도달률(deliverability)을 높이고 비용을 절감하세요. 중복과 유효하지 않은 email 주소를 손쉽게 제거합니다.","WHY_USE_CSV_BLOC_TITLE_2":"제품 카탈로그를 관리하세요","WHY_USE_CSV_BLOC_DESC_2":"대부분의 e-commerce 도구는 CSV 파일로 제품 카탈로그를 가져오고 내보내도록 지원합니다. Google Shopping에 보내기 전에 카탈로그를 정리하든, 여러 스토어를 하나의 컬렉션으로 통합하든, Datablist는 목록 관리에 딱 맞게 설계되었습니다.","WHY_USE_CSV_BLOC_TITLE_3":"Leads를 Enrich 하세요","WHY_USE_CSV_BLOC_DESC_3":"email 주소, 직함, LinkedIn 프로필 등으로 enrich하고 싶은 잠재고객(prospect) 리스트가 있으신가요? CRM 도구는 관심을 보인 이후에 leads를 추적하고 enrich하는 데 뛰어납니다. 하지만 prospect 리스트 빌딩과 대량 leads에 대한 lead scoring에는 한계가 있습니다. Datablist는 prospect 추적에 완벽한 도구입니다.","WHY_USE_CSV_BLOC_TITLE_4":"SEO 키워드를 추적하세요","WHY_USE_CSV_BLOC_DESC_4":"SEO 전략을 구축 중이신가요? Datablist로 SEO 키워드를 저장하고, 경쟁사를 목록화하며, 월간 검색량과 키워드 난이도를 분석하세요. 블로그 포스트 아이디어를 기록하고 경쟁사 블로그 포스트도 추적하세요.","CSV_CLEANER_TITLE":"CSV 클리너","CSV_CLEANER_DESCRIPTION":"CSV 파일은 오류, 비일관성, 서식 문제에 취약해 작업과 분석을 어렵게 만들 수 있습니다. CSV 클리닝은 이러한 문제를 감지하고 수정하여 데이터가 정확하고 일관되며 올바르게 서식화되도록 하는 과정입니다.","CSV_CLEANER_TITLE_BLOC_TITLE_1":"CSV 중복 제거","CSV_CLEANER_TITLE_BLOC_DESC_1":"데이터 중복 제거는 CSV 클리닝의 중요한 요소입니다. Datablist Duplicates Finder를 사용하면 사용 가능한 모든 열을 기준으로 데이터를 비교하거나 특정 열만 선택해 비교할 수 있습니다. 고급 알고리즘으로 큰 데이터셋도 수초 만에 빠르게 스캔하고 중복을 식별합니다. 또한 중복 레코드를 식별하는 것에 더해 강력한 병합 기능을 제공하여 중복 레코드를 하나의 정확한 레코드로 통합합니다.","CSV_CLEANER_TITLE_BLOC_TITLE_3":"데이터 타입 변환","CSV_CLEANER_TITLE_BLOC_DESC_3":"데이터 타입 변환은 CSV 클리닝에서 흔한 작업입니다. 데이터 값을 표준화된 형식으로 변환하여 정확성과 일관성을 보장합니다. DateTime, Numbers, Boolean 등 특정 데이터 타입에 맞추어 CSV의 값 형식을 변경할 수 있습니다. 데이터 타입 변환은 CSV를 필터링하고 문자열 데이터를 다른 도구로 가져오기 위한 표준 형식으로 변환하는 데 중요합니다.","CSV_CLEANER_TITLE_BLOC_TITLE_6":"HTML 태그 정리 및 기호 제거","CSV_CLEANER_TITLE_BLOC_DESC_6":"Datablist에는 태그가 포함된 HTML 코드를 일반 텍스트로 변환하는 내장 클리닝 도구가 포함되어 있습니다. 텍스트에서 스마일리와 각종 기호를 제거하고 불필요한 공백을 없애는 도구도 제공합니다. 이러한 클리닝 도구로 데이터의 가독성과 활용성을 높이세요. 불필요한 노이즈와 기호를 제거하면 데이터가 더욱 명확하고 간결해집니다.","CSV_CLEANER_TITLE_BLOC_TITLE_7":"찾기 및 바꾸기","CSV_CLEANER_TITLE_BLOC_DESC_7":"‘찾기 및 바꾸기’ 도구는 데이터 클리닝 작업에 최적입니다. 특정 값이나 패턴을 검색해 올바른 값 또는 원하는 값으로 바꾸세요. 철자 오류, 서식 불일치, 기타 입력 오류를 바로잡는 데 도움이 됩니다. 데이터 표준화에도 활용하세요. 특정 값의 다양한 변형이나 형식을 찾아 표준화된 형식으로 통일할 수 있습니다.","CSV_MANIPULATION_TITLE":"강력한 CSV 조작 도구","CSV_MANIPULATION_BLOC_TITLE_1":"일괄 편집 (Bulk Edit)","CSV_MANIPULATION_BLOC_DESC_1":"Datablist Bulk Edit는 CSV 클리닝 프로세스를 단순화합니다. 여러 항목을 한 번에 변경하세요. 전체 컬렉션에 적용하거나, 필터링된 항목을 편집하거나, 선택 항목만 일괄 편집할 수 있습니다. 대규모 데이터셋을 관리하고 업데이트하는 데 매우 효율적입니다. Datablist Bulk Edit로 데이터를 표준화하고 관련 레코드에 일관된 서식과 값을 적용하세요.","CSV_MANIPULATION_BLOC_TITLE_2":"데이터 조작을 위한 JavaScript 코드 작성","CSV_MANIPULATION_BLOC_DESC_2":"JavaScript는 Datablist에서 데이터를 클리닝하는 데 직접 사용할 수 있는 강력한 언어입니다. 스프레드시트 도구의 수식은 복잡하고 느릴 수 있지만, JavaScript는 간단한 서식 변경과 데이터 타입 변환부터 복잡한 변환과 분석까지 폭넓은 작업을 수행하는 커스텀 스크립트를 만들 수 있어 유연합니다.","CSV_MANIPULATION_BLOC_TITLE_3":"CSV 열 분할 및 병합","CSV_MANIPULATION_BLOC_DESC_3":"CSV 열을 분할하고 병합하는 것은 CSV 클리닝에 유용한 기법입니다. 데이터를 더 의미 있게 재구조화하고 조직화할 수 있습니다. 예를 들어 쉼표나 세미콜론과 같은 구분자로 여러 값이 들어 있는 단일 열이 있다면, 해당 구분자를 기준으로 여러 열로 분할할 수 있습니다.","CSV_MANIPULATION_TITLE_4":"여러 CSV 파일의 데이터를 정합화하세요","CSV_MANIPULATION_DESC_4":"Datablist로 데이터 정합화는 간단합니다. 여러 데이터 소스를 각각 컬렉션으로 가져오세요. 그런 다음 리스트 간 공통 식별자를 선택해 조인합니다. Datablist는 'FULL OUTER JOIN'과 'LEFT OUTER JOIN' 옵션을 제공합니다. 충돌하는 데이터를 병합하는 방식도 구성할 수 있습니다. 가져온 데이터를 건너뛰거나 병합하세요.","CSV_ONLINE_EDITOR":"온라인이지만 강력한 CSV 편집기","CSV_ONLINE_EDITOR_DESC_1":"다른 온라인 CSV 편집기는 CSV 파일을 열고 보는 단순한 기능만 제공하며, 대개 광고가 가득합니다. Datablist는 온라인 CSV 편집기이면서도 컴퓨터에 앱을 설치하지 않고 대용량 CSV 파일을 여는 강력한 기능을 제공합니다. 브라우저의 성능을 활용해 데이터를 저장하고 처리합니다.","CSV_ONLINE_EDITOR_DESC_2":"새 CSV 파일을 처음부터 생성하거나 외부 CSV 파일을 파싱하고, Excel 파일을 열 수 있습니다. 연 후에는 내장 필터와 정렬 도구로 데이터를 탐색하고, CSV 데이터를 정리하고 편집하세요. 모든 데이터 조작은 브라우저 내의 사용하기 쉬운 인터페이스로 접근할 수 있습니다.","CROSS_OS_TITLE":"Windows, Mac OS, Linux용 CSV 편집기","CROSS_OS_DESC_1":"Datablist CSV Editor는 모든 플랫폼과 운영체제에서 호환됩니다. Microsoft Windows, Mac OS, Linux에서 CSV 파일을 온라인으로 여세요.","CROSS_OS_DESC_2":"최신 웹 브라우저 기술을 활용해 플랫폼 장벽을 허물었습니다. 데이터는 브라우저에서 실행되는 로컬 데이터베이스에 로드됩니다. Cloud 동기화를 통해 Datablist는 클라우드와 팀 구성원 간에 데이터를 지속적으로 동기화합니다.","PARSE_ONLINE_TITLE":"CSV 파일을 온라인에서 파싱하고 수정하세요","PARSE_ONLINE_DESC_1":"직관적인 앱으로 CSV 파일을 손쉽게 온라인에서 파싱하고 수정하세요. 번개처럼 빠른 속도로 CSV(및 Excel) 파일에서 데이터를 파싱, 추출, 구성할 수 있습니다.","PARSE_ONLINE_DESC_2":"복잡한 설치나 호환성 문제는 이제 그만. 인터넷이 연결된 어떤 기기에서도 번거로움 없이 CSV를 파싱할 수 있도록 Datablist가 보장합니다.","PARSE_ONLINE_DESC_3":"Datablist는 대용량 CSV 파일도 몇 초 만에 파싱해, 빠르게 인사이트를 도출할 수 있게 합니다.","PARSE_ONLINE_DESC_4":"Datablist에서 CSV 데이터를 직접 수정하고 CSV 또는 Microsoft Excel 형식으로 내보내세요.","SEE_ALSO":"관련 자료","DATA_EDITOR":"온라인 데이터 편집기","DATA_EDITOR_DESC":"CSV를 넘어 다양한 데이터 형식을 관리·조작하는 강력한 온라인 데이터 편집기입니다.","DUPLICATES_REMOVER":"중복 제거 도구","DUPLICATES_REMOVER_DESC":"퍼지 매칭과 병합 기능을 갖춘 고급 중복 탐지 및 제거 도구입니다.","COMBINE_CSV":"CSV 파일 병합","COMBINE_CSV_DESC":"공통 식별자와 조인 연산을 사용해 여러 CSV 파일을 병합하고 통합하세요.","EMAIL_CLEANING":"Email 리스트 클리닝","EMAIL_CLEANING_DESC":"Email 리스트를 정리하고 검증해 도달률을 높이고 반송률을 낮추세요.","WHY_USE_CSV_BLOC_LINK_1":"Email 리스트를 정리하는 방법","PROSPECT_LIST_BUILDING":"Prospect 리스트 빌딩","GUIDE_DATA_CLEANING":"데이터 클리닝 가이드를 확인하세요","INVENTORY_MANAGEMENT_LINK":"온라인 스토어 재고와 공급사 피드를 관리하세요","DUPLICATES_FINDER_LINK":"중복 레코드 찾기 및 병합","AI_EDITING_LINK":"AI로 데이터 변환 스크립트를 작성하세요"},"DataEditor":{"PAGE_TITLE":"온라인 데이터 편집기 ","PAGE_DESC":"CSV, Excel 및 구조화된 데이터를 관리하기 위한 강력한 온라인 데이터 편집기. 고급 도구와 노코드 인터페이스로 데이터를 정제, 편집, 변환하세요.","HEADER_TITLE":"온라인 데이터 편집기","HEADER_DESC_1":"스프레드시트의 단순함과 데이터베이스 기능을 결합한 강력한 온라인 편집기로 데이터를 관리하세요.","HEADER_DESC_2":"CSV와 Excel 파일을 가져오고 데이터를 정제한 뒤 결과를 내보내기까지—모두 브라우저에서 처리하세요.","NO_SIGNUP":"회원가입 필요 없음","ONLINE_100":"100% 온라인","EASY_TO_USE":"사용이 간편함","WHAT_IS_TITLE":"Datablist의 차별점","WHAT_IS_DESC":"스프레드시트 도구는 데이터 목록을 다룰 때 한계가 있습니다. 데이터베이스와 달리 데이터 구조나 제약이 없습니다. Datablist는 스프레드시트의 사용 편의성을 유지하면서 데이터베이스 기능을 제공합니다. 데이터 정제, leads 관리, 구조화된 데이터 작업에 최적입니다.","EDIT_TITLE":"데이터 파일 가져오기 및 편집","EDIT_DESC_1":"CSV와 Excel 파일을 브라우저에서 바로 업로드하세요. Datablist가 열 유형과 데이터 구조를 자동으로 감지합니다.","EDIT_DESC_2":"각 열의 데이터 타입을 정의하세요: Text, Email, Number, Date, URL 등.","EDIT_DESC_3":"대규모 데이터셋을 위해 설계된 강력한 도구로 데이터를 정렬, 필터링, 검색하세요.","EDIT_DESC_4":"최대 속도와 개인정보 보호를 위해 모든 처리는 브라우저 로컬에서 수행됩니다.","DATA_MANIP_TITLE":"고급 데이터 가공","DATA_MANIP_DESC":"강력한 데이터 정제와 통합 도구로 기본 스프레드시트 작업을 넘어서세요.","DATA_MANIP_BLOC_DUPLICATES_TITLE":"중복 항목 찾기 및 병합","DATA_MANIP_BLOC_DUPLICATES_DESC":"퍼지 매칭, 발음 기반 알고리즘을 활용한 고급 중복 감지와 데이터 손실 없는 스마트 병합.","DATA_MANIP_BLOC_CONSO_TITLE":"여러 파일 결합","DATA_MANIP_BLOC_CONSO_DESC":"데이터베이스처럼 JOIN 연산으로 공통 식별자를 기준으로 CSV 파일을 병합하세요.","DUPLICATES_LINK":"중복 제거 자세히 알아보기","COMBINE_LINK":"CSV 파일 결합 가이드","NOCODE_TITLE":"노코드 데이터 작업","NOCODE_DESC_1":"코드 작성 없이 복잡한 데이터 작업을 수행하세요. 직관적인 인터페이스로 데이터 정제, 변환, 보강을 진행합니다.","NOCODE_DESC_2":"대량 편집, 찾기 및 바꾸기, 데이터 타입 변환 등 내장 도구 제공.","PRODUCTIVITY_TITLE":"생산성을 높이세요","PRODUCTIVITY_DESC":"키보드 단축키, 대량 작업, 데이터 전문가를 위한 간소화된 workflow로 더 빠르게 작업하세요.","PRODUCTIVITY_BULLET_1":"모든 스프레드시트 도구에서 복사/붙여넣기 지원","PRODUCTIVITY_BULLET_2":"파워 유저를 위한 키보드 단축키","PRODUCTIVITY_BULLET_3":"여러 항목을 한 번에 대량 편집","PRODUCTIVITY_BULLET_4":"안전한 데이터 작업을 위한 실행 취소/다시 실행","FEATURES_TITLE":"데이터베이스 기반 기능","DATABASE_FEATURES_TITLE":"데이터 구조와 제약","DATABASE_FEATURES_DESC":"데이터 타입, 고유 제약, 검증 규칙을 정의하세요. 내장 검증으로 데이터 품질을 보장합니다.","EDITING_FEATURES_TITLE":"고급 편집 도구","EDITING_FEATURES_DESC":"대량 편집, 정규식(regex) 기반 찾기 및 바꾸기, 데이터 타입 변환, 복잡한 변환을 위한 JavaScript 스크립팅.","SEARCH_FEATURES_TITLE":"강력한 검색","SEARCH_FEATURES_DESC":"모든 열에서 전문 검색을 지원하며, 대규모 데이터셋에서도 즉시 결과를 제공합니다.","FILTER_FEATURES_TITLE":"고급 필터링","FILTER_FEATURES_DESC":"AND/OR 논리로 복합 필터 조건을 만들고, 필터를 저장하고, 필터링된 하위 집합으로 작업하세요.","CLEANING_TITLE":"데이터 정제 도구 모음","BULK_EDIT_TITLE":"대량 편집 작업","BULK_EDIT_DESC":"대량 작업으로 여러 항목을 한 번에 편집하세요: 대/소문자 변경, 접두/접미사 추가, 기호 제거, HTML을 텍스트로 변환 등.","BULK_EDIT_LINK":"대량 편집 문서","DATA_TYPES_TITLE":"데이터 타입 변환","DATA_TYPES_DESC":"텍스트를 숫자, 날짜, 체크박스로 변환합니다. 유닉스 타임스탬프를 파싱하고 숫자 형식을 정규화하여 데이터 일관성을 보장합니다.","DATA_TYPES_LINK":"데이터 변환 가이드","JAVASCRIPT_TITLE":"JavaScript 스크립팅","JAVASCRIPT_DESC":"복잡한 데이터 변환을 위해 사용자 정의 JavaScript 코드를 작성하세요. 외부 API를 호출하고 맞춤형 workflow를 구축하세요.","JAVASCRIPT_LINK":"JavaScript 문서","FIND_REPLACE_TITLE":"찾기 및 바꾸기","FIND_REPLACE_DESC":"정규식, 대소문자 구분 옵션, 단어 전체 일치 등 고급 찾기 및 바꾸기.","FIND_REPLACE_LINK":"찾기 및 바꾸기 가이드","EXPORT_TITLE":"정제된 데이터 내보내기","EXPORT_DESC":"구분자와 인코딩을 선택해 CSV 또는 Excel 형식으로 내보내세요. 다른 도구로 가져오거나 팀과 공유하기에 적합합니다.","SEE_ALSO":"관련 도구","CSV_EDITOR":"CSV 편집기","CSV_EDITOR_DESC":"쉼표로 구분된 값 파일을 위한 고급 기능의 전문 CSV 편집기.","DUPLICATES_REMOVER":"중복 제거 도구","DUPLICATES_REMOVER_DESC":"퍼지 매칭 알고리즘을 통한 고급 중복 감지 및 제거.","COMBINE_CSV":"CSV 파일 결합","COMBINE_CSV_DESC":"데이터베이스 스타일의 JOIN 연산으로 여러 CSV 파일을 병합합니다.","ENRICHMENTS":"데이터 보강","ENRICHMENTS_DESC":"외부 API로 기업 정보, email 검증 등을 추가하여 데이터를 보강하세요."},"ToolsCommon":{"HOME":"홈","BREADCRUMB_NAV":"이동 경로","BREADCRUMB_TITLE":"도구","OPEN_TOOL":"도구 열기","OTHER_TOOLS_TITLE":"기타 도구","RELATED_TOOLS_TITLE":"관련 도구","UI":{"BROWSE":"찾아보기","CLEAR":"지우기","COPIED":"복사됨","COPY_CSV":"CSV 복사","DOWNLOAD_CSV":"CSV 다운로드","INPUT":"입력","OUTPUT_PREVIEW":"출력 미리보기","PREVIEW":"미리보기","REPLACE":"바꾸기","SETTINGS":"설정","SPLIT_MODE":"분할 모드","UPLOAD_CSV_FILE":"CSV 파일 업로드","UPLOAD_JSON_FILE":"JSON 파일 업로드"},"TOOLS":{"JSON_TO_CSV":{"NAME":"JSON to CSV 변환기","DESCRIPTION":"중첩된 JSON, API 응답, 혼합 배열, 객체 중심 payload를 row node 감지, 선택적 flattening, 고급 parsing 제어를 통해 깔끔한 CSV로 변환합니다."},"CSV_DIFF":{"NAME":"CSV Diff 도구","DESCRIPTION":"온라인에서 두 개의 CSV 파일을 비교하고, id 또는 email로 행을 매칭하며, 추가됨·삭제됨·변경됨·변경 없음 행을 감지한 뒤, 구조화된 diff CSV를 다운로드할 수 있습니다."},"CSV_ROWS_SPLITTER":{"NAME":"CSV 행 분할 도구","DESCRIPTION":"여러 값을 포함한 셀을 각각의 개별 행으로 분할합니다. CSV를 업로드하고, 컬럼과 구분자를 선택하면 tags, emails, 또는 전화번호를 행당 하나의 값으로 확장할 수 있습니다."},"CSV_SPLITTER":{"NAME":"CSV 분할 도구","DESCRIPTION":"행 수, 파일 크기, 컬럼 값, 규칙 또는 날짜 범위를 기준으로 CSV를 분할합니다. 출력 결과를 미리 보고, 필요한 컬럼만 유지한 뒤, 결과를 CSV 또는 ZIP으로 다운로드할 수 있습니다."}},"ENRICHMENT_WAIT":{"PHASES":{"VALIDATING":"입력 내용을 확인하는 중…","PREPARING":"요청을 준비하는 중…","STARTING":"작업을 시작하는 중…","PROCESSING":"데이터를 처리하는 중…","CONTINUING":"계속 처리 중입니다. 결과가 준비되면 여기에 자동으로 표시됩니다."},"REASSURANCE":"결과가 준비되는 즉시 확인할 수 있도록 이 탭을 열어 두세요. 페이지를 나가더라도 24시간 이내에 이 브라우저에서 다시 확인할 수 있습니다.","PROGRESS_LABEL":"요청을 처리하는 중","RUNNING_TITLE":"처리 중 · Datablist","READY_TITLE":"결과 준비 완료 · Datablist","ATTENTION_TITLE":"확인이 필요한 작업 · Datablist","SAMPLE":{"REASSURANCE":"이 샘플 실행에는 크레딧이 사용되지 않습니다.","PROGRESS_LABEL":"샘플 결과를 준비하는 중","RUNNING_TITLE":"샘플 결과를 불러오는 중 · Datablist","READY_TITLE":"샘플 결과 준비 완료 · Datablist"}},"ENRICHMENT_OPTIONS":{"LOADING":"옵션을 불러오는 중…","LOAD_FAILED":"옵션을 불러오지 못했습니다. 페이지를 새로고침하여 다시 시도해 주세요.","UNAVAILABLE":"현재 추가 옵션을 사용할 수 없습니다. 이 도구에는 기본 설정이 적용됩니다."}},"ToolsPage":{"PAGE_TITLE":"Datablist 도구","PAGE_DESC":"JSON, CSV 및 정리되지 않은 데이터 workflow를 위한 Datablist 도구를 둘러보세요. 여기에는 대용량의 정리되지 않은 export를 위한 CSV diff와 고급 JSON to CSV 변환이 포함됩니다.","CATEGORY":"Datablist 도구","HEADER_TITLE":"지저분한 데이터를 위한 아름다운 도구","HEADER_DESC":"JSON, CSV 및 현실 세계의 정리되지 않은 데이터를 위한, 계속 확장되는 집중형 유틸리티 모음입니다. 각 도구는 일회성 폼이 아니라 하나의 제품처럼 설계되었습니다.","ITEMLIST_NAME":"Datablist 도구","ITEMLIST_DESC":"JSON, CSV 및 데이터 변환 workflow를 위한 Datablist 도구 모음입니다.","LISTING":{"FILES":{"TITLE":"파일 정리 및 변환","CARDS":{"JSON_TO_CSV":{"DESCRIPTION":"중첩된 JSON 또는 API 응답을 깔끔한 CSV로 변환합니다."},"CSV_DIFF":{"DESCRIPTION":"두 CSV 파일을 비교하고 추가, 삭제 또는 변경된 행을 내보냅니다."},"CSV_ROWS_SPLITTER":{"DESCRIPTION":"여러 값이 포함된 CSV 셀을 값마다 하나의 행으로 확장합니다."},"CSV_SPLITTER":{"DESCRIPTION":"행, 크기, 값, 규칙 또는 날짜 범위를 기준으로 CSV를 분할합니다."}}},"LEADS":{"TITLE":"leads 검색 및 준비","CARDS":{"DOMAIN_FINDER":{"TITLE":"기업 도메인 검색기","DESCRIPTION":"기업명 목록에서 웹사이트 도메인을 찾습니다."},"SALES_NAVIGATOR_SCRAPER":{"TITLE":"Sales Navigator 스크래퍼","DESCRIPTION":"Sales Navigator 또는 LinkedIn 검색 URL에서 leads를 미리 확인합니다."},"EMAIL_FINDER":{"TITLE":"업무용 email finder","DESCRIPTION":"이름과 기업 정보 또는 LinkedIn 프로필을 사용하여 업무용 email을 찾습니다."},"COMPANY_NAME_CLEANER":{"TITLE":"기업명 정리 도구","DESCRIPTION":"법인 표기를 제거하고 대소문자를 수정하며 중복 항목을 표시합니다."},"INSTAGRAM_FOLLOWER_SCRAPER":{"TITLE":"Instagram 팔로워 스크래퍼","DESCRIPTION":"Instagram 프로필 URL 또는 핸들에서 팔로워 샘플을 미리 확인합니다."},"LINKEDIN_PROFILE_SCRAPER":{"TITLE":"무료 LinkedIn 프로필 스크래퍼","DESCRIPTION":"무료 온라인 LinkedIn 프로필 스크래퍼입니다. 프로필 URL을 붙여넣으면 최대 40개의 공개 데이터 포인트를 무료로 추출할 수 있습니다. 로그인, 쿠키 또는 세션 ID가 필요하지 않습니다."}}}},"KEYWORDS":["datablist tools","json tools","csv tools","json to csv tools","csv diff tool","csv splitter tool","data conversion tools"]},"ToolsJsonToCsv":{"PAGE_TITLE":"JSON to CSV 변환기","PAGE_DESC":"중첩 JSON, 대용량 파일, API 응답, 복잡한 export를 위한 무료 온라인 JSON to CSV 변환기입니다. row node를 선택하고, 객체를 펼치고(flatten), 결과를 미리 본 뒤 브라우저에서 CSV를 다운로드할 수 있습니다.","SCHEMA_NAME":"Datablist JSON to CSV 변환기","SCHEMA_DESC":"중첩 데이터, 대용량 파일, row node 감지, flatten 제어, 브라우저 내 처리 기능을 제공하는 무료 온라인 JSON to CSV 변환기입니다.","TOOL":{"EMPTY_SOURCE_LABEL":"JSON을 붙여넣거나 파일을 업로드하세요","ERROR_MISSING_SOURCE":"먼저 JSON payload를 붙여넣거나 JSON 파일을 업로드하세요.","NO_PREVIEW_DESC":"CSV 미리보기를 생성하려면 JSON 파일을 업로드하거나 JSON을 붙여넣으세요.","NO_PREVIEW_TITLE":"아직 미리보기가 없습니다","OVERLAY_DESC":"파일은 로컬에서 파싱되며 즉시 미리보기됩니다.","OVERLAY_TITLE":"여기에 JSON 파일을 드롭하세요","PASTE_LABEL":"JSON 붙여넣기","PASTED_LABEL":"붙여넣은 JSON","STATUS_COLUMNS_REFRESHED":"컬럼이 새로고침되었습니다","STATUS_FAILED":"변환에 실패했습니다","STATUS_PARSING":"JSON 파싱 중","STATUS_PREVIEW_READY":"미리보기가 준비되었습니다","STATUS_PREVIEW_UPDATED":"미리보기가 업데이트되었습니다","STATUS_REFRESHING_COLUMNS":"감지된 컬럼을 새로고침하는 중","STATUS_UPDATING_PREVIEW":"CSV 미리보기를 업데이트하는 중","STATUS_WAITING":"입력을 기다리는 중","SUBMIT_LABEL":"JSON 변환","UI":{"CHAR_COUNT":"{count}자","JSON_PARSING":"JSON 파싱","PARSING_SIMPLE_DESC":"이 JSON에는 기본 파싱 설정을 사용할 수 있습니다. 설정을 사용자 지정하려는 경우에만 열어 주세요.","PARSING_COMPLEX_DESC":"복잡한 JSON이 감지되었습니다. 내보내기 전에 행 감지 결과와 열을 검토해 주세요.","ROW_NODES":"행 노드","NODE_OPTION":"{path} · {count}개 행","RECOMMENDED_SUFFIX":" · 권장","ROW_NODES_HELP":"잘못된 배열이 선택된 경우 열을 편집하기 전에 여기에서 올바른 배열로 변경해 주세요.","FLATTEN_OBJECTS":"중첩 객체 평면화","FLATTEN_OBJECTS_DESC":"`data.name`을 별도의 CSV 열로 변환합니다.","OBJECTS_TO_FLATTEN":"평면화할 객체","OBJECTS_TO_FLATTEN_DESC":"별도의 열로 확장할 중첩 객체를 선택하세요.","ARRAY_HANDLING":"배열 처리","ARRAY_HANDLING_DESC":"배열 값을 CSV에 기록할 방식을 지정하세요.","ARRAY_SEPARATOR":"배열 구분 기호","ARRAY_FIELDS":"각 배열 필드 설정","ARRAY_FIELDS_DESC":"감지된 각 배열 열을 내보낼 방식을 선택하세요.","ARRAY_JOIN":"항목 결합","ARRAY_JSON":"JSON 문자열로 변환","ARRAY_CASE_BY_CASE":"필드별 설정","ARRAY_KEEP_FIRST":"첫 번째 항목만 유지","DETECTED_COLUMNS":"감지된 열","DETECTED_COLUMNS_DESC":"내보내기 전에 JSON 경로를 확인하고, 헤더 이름을 변경하거나 열을 제외하세요.","COLUMN_COUNT":"{total}개 중 {visible}개 표시","CSV":"CSV","CSV_DESC":"내보내는 CSV의 형식을 설정하세요.","CSV_SEPARATOR":"CSV 구분 기호","CSV_SEPARATOR_DESC":"열 사이에 사용할 구분 기호를 선택하세요.","SEPARATOR_COMMA":"쉼표 (,)","SEPARATOR_PIPE":"파이프 (|)","SEPARATOR_SEMICOLON":"세미콜론 (;)","SEPARATOR_TAB":"탭 (\\t)","CUSTOM":"사용자 지정","ENTER_SEPARATOR":"구분 기호 입력","QUOTE_TYPE":"따옴표 유형","QUOTE_TYPE_DESC":"이스케이프 처리가 필요할 때 필드를 감쌀 방식을 선택하세요.","DOUBLE_QUOTE":"큰따옴표 (\")","SINGLE_QUOTE":"작은따옴표 (')","INCLUDE_HEADER":"헤더 행 포함","INCLUDE_HEADER_DESC":"첫 번째 CSV 행에 열 이름을 기록합니다.","DATE_FORMAT":"날짜 출력 형식","DATE_FORMAT_DESC":"내보내기 전에 감지된 ISO 형식과 유사한 날짜를 다시 지정합니다.","DATE_KEEP_ORIGINAL":"원본 유지","DATE_ISO":"ISO 날짜 (yyyy-MM-dd)","DATE_EUROPEAN":"유럽식 (dd/MM/yyyy)","DATE_US":"미국식 (MM/dd/yyyy)","DATE_TIME":"날짜 및 시간 (yyyy-MM-dd HH:mm:ss)","DATE_READABLE":"읽기 쉬운 형식 (MMM d, yyyy)","OUTPUT":"출력","COPY_CSV":"CSV 복사","COPIED":"복사됨","COPY_FAILED":"복사 실패","DOWNLOAD_CSV":"CSV 다운로드","TABLE_VIEW":"표 보기","RAW_CSV":"원본 CSV","EMPTY_PREVIEW":"JSON을 업로드하거나 왼쪽에 붙여넣으세요. 감지된 행 소스와 평면화 규칙이 적용된 미리보기가 여기에 표시됩니다.","PREVIEW_LIMIT":"최대 100개 행을 미리 볼 수 있습니다. 전체 CSV를 받으려면 다운로드하세요.","ROWS":"행","COLUMNS":"열","ERRORS":"오류"}},"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":"JSON을 붙여넣고 몇 초 만에 깔끔한 CSV를 받아보세요.","SEO_HERO_DESC":"더 단순한 도구가 자주 실패하는 파일을 위한 무료 온라인 JSON to CSV 변환기입니다: 중첩 객체, 혼합 배열, 대용량 payload까지 처리합니다. 데이터는 사용자의 기기에 그대로 유지됩니다.","INTRO_TITLE":"API 응답과 복잡한 export를 위한 중첩 JSON to CSV 변환기","INTRO_PARAGRAPHS":["대부분의 도구는 JSON이 평평한 배열로 시작하지 않으면 제대로 작동하지 않습니다. 하지만 실제 데이터는 대개 복잡합니다. API 응답, webhook payload, CRM export, scraped 파일에는 중첩 객체, 메타데이터, 혼합 구조가 포함됩니다. 이 도구는 바로 그런 데이터를 처리하도록 만들었습니다.","row node를 선택하고, 펼칠 객체를 지정하고, 배열 규칙을 설정하세요. 그런 다음 CSV를 미리 보고 다운로드할 수 있습니다. 실제 환경의 데이터를 위한 최고의 JSON to CSV 변환기를 찾고 계셨다면, 이 작업을 위해 만든 도구가 바로 이것입니다."],"EXAMPLES":{"API":{"TITLE":"예시: 중첩된 API 응답을 CSV로 변환","DESCRIPTION":"JSON 루트가 객체로 구성되고 실제 row가 `results` 또는 `data` 같은 중첩 배열 안에 들어 있는 경우가 많습니다. 단순한 변환기는 여기서 실패하지만, 이 도구는 배열을 감지하고 구조를 flatten하여 깔끔한 CSV로 export합니다.","JSON_LABEL":"중첩 JSON 입력","CSV_LABEL":"CSV 출력"},"CONTACTS":{"TITLE":"예시: 중첩된 contacts 배열 추출","DESCRIPTION":"일부 payload에는 여러 배열이 포함되어 있습니다. 상위 레코드가 필요할 수도 있고, contacts처럼 더 깊은 배열이 필요할 수도 있습니다. row node 선택기를 사용해 필요한 정확한 배열을 지정하고 해당 row만 export하세요.","JSON_LABEL":"여러 배열이 포함된 JSON","CSV_LABEL":"Contacts용 CSV 출력"}},"PARSING_SETTINGS":{"TITLE":"JSON 파싱 설정","ITEMS":[{"TITLE":"Row nodes","BODY":"CSV row를 구성할 배열을 선택합니다. 유용한 데이터는 루트에 바로 있는 경우가 드뭅니다. JSON에 여러 배열이 포함되어 있다면, 이 설정으로 올바른 배열을 선택하세요."},{"TITLE":"중첩 객체 flatten","BODY":"`company` 또는 `metrics` 같은 객체를 개별 컬럼으로 펼칩니다. flatten할 특정 객체를 선택하여 CSV를 체계적으로 유지하고 중복 필드를 방지할 수 있습니다."},{"TITLE":"배열 처리","BODY":"구분자로 배열을 결합하거나, JSON 문자열 형식으로 유지하거나, 사용자 지정 규칙을 적용할 수 있습니다. tags는 결합된 상태로 유지하고, 복잡한 배열은 JSON으로 남기거나, 목록에서 첫 번째 항목만 추출할 수도 있습니다."},{"TITLE":"배열별 개별 규칙","BODY":"서로 다른 배열에 서로 다른 규칙을 적용합니다. tags에는 한 규칙을, contacts에는 다른 규칙을 설정할 수 있습니다. 일반적인 변환기는 모든 배열을 동일하게 처리하지만, 이 기능은 최종 출력에 대한 정밀한 제어를 제공합니다."}]},"OUTPUT_SETTINGS":{"TITLE":"CSV 출력 설정","ITEMS":[{"TITLE":"구분자","BODY":"쉼표, 세미콜론, 파이프, 탭 또는 사용자 지정 구분자로 export할 수 있습니다. 대상 시스템이 요구하는 정확한 delimiter에 맞추세요."},{"TITLE":"헤더 row 포함","BODY":"CSV 첫 번째 row에 컬럼명이 포함되도록 할지 선택할 수 있습니다. 다른 pipeline용 원시 데이터 row를 export하려면 헤더를 제거하세요."},{"TITLE":"날짜 출력 형식","BODY":"export 전에 날짜 형식을 다시 지정할 수 있습니다. 수동 수정 없이 spreadsheet나 BI 도구에 바로 사용할 수 있는 CSV를 생성하세요."},{"TITLE":"다운로드 전 미리보기","BODY":"파일을 다운로드하기 전에 미리보기에서 row 선택, flatten된 컬럼, 배열 규칙을 확인하세요."}]},"ROW_NODES":{"TITLE":"올바른 row node 선택하기","PARAGRAPHS":["정확한 배열을 선택해야 올바르게 변환할 수 있습니다. JSON 파일에는 wrapper 객체, 메타데이터, 중첩 배열이 포함되는 경우가 많습니다. 단순한 변환기는 처음 감지한 배열을 선택해 잘못된 데이터를 반환하곤 합니다.","Row nodes 설정을 사용해 대상 배열을 선택하세요. 회사당 한 row를 얻으려면 상위 레코드를 선택하고, 연락처당 한 row를 얻으려면 하위 배열을 선택하면 됩니다.","이 기능은 복잡한 API payload, CRM export, webhook 로그에서 비즈니스 데이터를 추출할 때 유용합니다."]},"LARGE_FILES":{"TITLE":"대용량 JSON 파일을 CSV로 변환","PARAGRAPHS":["대용량 JSON을 CSV로 변환해야 하거나, 다른 도구가 처리하지 못하는 큰 JSON 파일을 다뤄야 하나요? 이 페이지는 바로 그런 use case를 염두에 두고 만들어졌습니다.","대용량 payload를 처리하면서도 생성된 CSV의 미리보기를 확인한 뒤 전체 export를 다운로드할 수 있습니다. 미리보기는 최종 파일을 생성하기 전에 row node, flatten된 컬럼, 배열 규칙이 올바른지 확인하는 데 도움이 됩니다.","“convert large JSON to CSV”, “JSON to CSV large file”, 또는 “convert big JSON file to CSV”를 검색하셨다면, 이 도구는 바로 그런 workflow를 처리하도록 설계되었습니다."]},"PRIVACY":{"TITLE":"데이터를 외부로 보내지 않는 온라인 JSON to CSV","PARAGRAPHS":["이 도구는 온라인 JSON to CSV 변환기이지만, 파싱을 위해 파일을 원격 서버로 업로드하지 않습니다. 처리는 브라우저에서 로컬로 이루어집니다.","이는 고객 export, CRM 데이터, API 응답, 내부 로그 또는 단순 변환을 위해 외부로 보내고 싶지 않은 데이터를 다룰 때 특히 중요합니다.","요약하면, 빠르고 편리하며 변환이 사용자의 기기에서 이루어지므로 데이터를 더 안전하게 유지할 수 있습니다."]},"USE_CASES_TITLE":"이 도구를 사용해야 하는 경우","USE_CASES":[{"TITLE":"JSON API 응답을 CSV로 변환","BODY":"메타데이터와 함께 중첩 필드 안에 레코드가 들어 있는 API의 데이터를 export합니다."},{"TITLE":"중첩 JSON을 평평한 CSV 컬럼으로 변환","BODY":"중첩된 회사 정보, 주소 블록, 매출 데이터를 깔끔한 spreadsheet 컬럼으로 변환합니다."},{"TITLE":"JSON에서 중첩 배열 추출","BODY":"row node 선택기를 사용해 contacts, line items, events 같은 더 깊은 배열을 지정하고 export합니다."},{"TITLE":"CRM 또는 webhook JSON export를 CSV로 변환","BODY":"HubSpot export, 내부 API payload, webhook 로그를 Excel 또는 BI 도구에서 사용할 수 있도록 준비합니다."},{"TITLE":"같은 JSON 파일 안의 배열을 서로 다르게 처리","BODY":"단순한 tags는 결합하고, 목록의 첫 번째 항목만 유지하거나, 같은 파일 내의 복잡한 구조는 문자열로 변환할 수 있습니다."},{"TITLE":"Excel, Sheets 또는 import용 CSV 준비","BODY":"구분자를 조정하고, 헤더를 켜거나 끄고, 날짜 형식을 지정해 CSV가 대상 시스템과 정확히 맞도록 만드세요."},{"TITLE":"가시성을 유지하면서 대용량 JSON 파일 변환","BODY":"큰 JSON 파일로 작업하면서 출력의 live preview를 유지하고, 구조가 올바르게 보이면 전체 CSV를 다운로드할 수 있습니다."},{"TITLE":"무료 온라인 JSON to CSV 변환기 사용","BODY":"페이지를 열고 JSON을 붙여넣거나 업로드한 뒤, 결과를 검토하고 아무것도 설치하지 않고 무료로 CSV를 다운로드하세요."}],"FAQ_TITLE":"FAQ: 복잡한 JSON to CSV 변환","FAQ_ITEMS":[{"QUESTION":"이 도구는 무료 JSON to CSV 변환기인가요?","ANSWER":"예. 이 JSON to CSV 변환기는 무료로 사용할 수 있습니다."},{"QUESTION":"중첩 JSON 파일을 CSV로 변환할 수 있나요?","ANSWER":"예. 올바른 row node를 선택하고, flatten할 객체를 지정한 다음 데이터를 export하면 됩니다."},{"QUESTION":"row가 중첩 배열 안에 있을 때 JSON API 응답을 CSV로 변환할 수 있나요?","ANSWER":"예. 보통 `results`, `items`, `data`라고 불리는 중첩 배열을 선택하면, 도구가 해당 레코드로 CSV를 생성합니다."},{"QUESTION":"Row nodes 설정은 무엇을 하나요?","ANSWER":"어떤 배열이 CSV row를 구성할지 결정합니다. 루트 객체를 우회하고 필요한 정확한 데이터를 지정하는 데 사용하세요."},{"QUESTION":"대용량 JSON 파일을 CSV로 변환할 수 있나요?","ANSWER":"예. 이 도구는 대용량 payload를 처리하면서도 전체 파일을 다운로드하기 전에 생성된 CSV를 미리 볼 수 있도록 설계되었습니다."},{"QUESTION":"어떤 객체를 flatten할지 선택할 수 있나요?","ANSWER":"예. 컬럼으로 펼칠 특정 객체 경로를 선택할 수 있습니다. 선택하지 않은 객체는 JSON 문자열로 유지되어 export를 깔끔하게 유지합니다."},{"QUESTION":"이 JSON to CSV 변환기는 온라인으로 안전하게 사용할 수 있나요?","ANSWER":"예. 브라우저에서 온라인으로 실행되지만, 파싱과 변환은 서버로 전송되지 않고 사용자의 기기에서 로컬로 처리됩니다."},{"QUESTION":"서로 다른 배열에 서로 다른 규칙을 적용할 수 있나요?","ANSWER":"예. case-by-case 모드를 사용해 필드별로 배열을 결합하거나, 문자열로 변환하거나, 축약할 수 있습니다."},{"QUESTION":"이 도구가 최고의 JSON to CSV 변환기 중 하나인 이유는 무엇인가요?","ANSWER":"사용자가 실제로 어려움을 겪는 복잡한 사례를 처리하도록 설계되었기 때문입니다: 중첩 JSON, 여러 후보 배열, 선택적 flatten, 배열별 규칙, 대용량 파일, live preview, 그리고 더 나은 privacy를 위한 로컬 처리까지 지원합니다."}],"OTHER_TOOLS_DESC":"JSON을 변환한 뒤 다른 유틸리티가 필요하신가요? 이 도구들은 구조화된 비교와 감사 친화적인 diff 같은 인접한 데이터 workflow를 지원합니다."},"ToolsCsvDiff":{"PAGE_TITLE":"CSV Diff 도구","PAGE_DESC":"두 개의 CSV 파일을 비교하고, 추가·삭제·변경된 행을 감지하며, 셀 단위 차이를 미리 보고, join 및 key column 설정을 선택하고, 브라우저에서 결과를 다운로드할 수 있는 무료 온라인 CSV diff 도구입니다.","SCHEMA_NAME":"Datablist CSV Diff 도구","SCHEMA_DESC":"브라우저 내 처리와 다운로드 가능한 diff CSV 출력이 가능한, 추가·삭제·변경·미변경 행 비교용 무료 온라인 CSV 비교 도구입니다.","TOOL":{"ERROR_MISSING_SOURCE":"비교하려면 두 개의 CSV 파일을 모두 업로드하세요.","FILE_EMPTY_HELP":"파일을 업로드하거나 드롭하세요","FILE_EMPTY_NAME":"CSV 파일을 선택하세요","FILE_LOADED":"로드됨","HELP_TEXT":"두 개의 CSV 파일을 업로드하고, 행을 어떻게 매칭할지 선택한 다음, 여기에서 diff를 미리 확인하세요. 모든 작업은 브라우저에서 로컬로 실행됩니다.","ORIGINAL_FILE_DESC":"이전 export, 스냅샷 또는 기준 파일입니다.","ORIGINAL_FILE_TITLE":"원본 CSV","OVERLAY_DESC":"먼저 원본 파일을 드롭한 다음, 업데이트된 파일을 드롭하세요.","OVERLAY_TITLE":"여기에 CSV 파일을 드롭하세요","STATUS_COMPARISON_FAILED":"비교에 실패했습니다","STATUS_FILES_READY":"파일이 로드되었습니다. 비교할 준비가 되었습니다.","STATUS_PREVIEW_READY":"미리보기가 준비되었습니다","STATUS_WAITING":"diff를 미리 보려면 두 개의 CSV 파일을 업로드하세요.","SUBMIT_LABEL":"CSV 파일 비교","UPDATED_FILE_DESC":"원본과 비교할 최신 export 파일입니다.","UPDATED_FILE_TITLE":"업데이트된 CSV","UI":{"COLUMNS_MAPPING":"열 매핑","MAP_COLUMNS_THAT_CONTAIN_THE_SAME_DATA_WHEN":"두 CSV 파일에서 서로 다른 열 이름을 사용하더라도 동일한 데이터가 포함된 열을 매핑합니다.","ONLY_MAPPED_COLUMNS_ARE_USED_FOR_MATCHING_AND":"매핑된 열만 매칭 및 비교에 사용됩니다. 매핑되지 않은 열은 행을 펼치면 계속 표시됩니다.","ORIGINAL_COLUMN":"원본 열","DO_NOT_COMPARE_THIS_COLUMN":"이 열을 비교하지 않음","UNMAPPED_UPDATED_ONLY_COLUMNS":"업데이트된 파일에만 있는 매핑되지 않은 열:","MATCHING":"매칭","CHOOSE_HOW_ROWS_SHOULD_BE_MATCHED_BETWEEN_THE":"원본 CSV 파일과 업데이트된 CSV 파일 간에 행을 매칭할 방식을 선택합니다.","ROW_MATCHING_MODE":"행 매칭 모드","USE_A_KEY_COLUMN_WHEN_BOTH_FILES_SHARE":"두 파일이 안정적인 식별자를 공유하는 경우 키 열을 사용합니다. 그렇지 않으면 전체 행 비교로 전환합니다.","AUTO_DETECT":"자동 감지","SELECTED_KEY_COLUMN":"선택한 키 열","MULTIPLE_KEY_COLUMNS":"여러 키 열","FULL_ROW_CONTENT":"전체 행 내용","CURRENT_MATCH_MODE":"현재 매칭 모드:","KEY_COLUMN":"키 열","AUTO_DETECT_PREFERS_COLUMNS_LIKE_ID_EMAIL_SKU":"자동 감지는 id, email, sku 또는 고유성이 높은 공통 필드와 같은 열을 우선합니다.","USE_DETECTED_SUGGESTION":"감지된 제안 사용","MULTIPLE_KEYS":"여러 키","COMBINE_SHARED_COLUMNS_WHEN_ONE_COLUMN_ALONE_IS":"하나의 열만으로 고유성을 충분히 확보할 수 없는 경우 공통 열을 조합합니다.","JOIN_TYPE":"조인 유형","FULL_OUTER_JOIN_SHOWS_EVERYTHING_INNER_JOIN_SHOWS":"Full outer join은 모든 항목을 표시합니다. Inner join은 매칭된 행만 표시합니다. Left join은 원본 행을 기준으로 유지합니다.","FULL_OUTER_JOIN":"Full outer join","INNER_JOIN":"Inner join","LEFT_JOIN":"Left join","COMPARISON":"비교","NORMALIZE_VALUES_BEFORE_DIFFING_TO_AVOID_NOISE_FROM":"형식만 변경되어 발생하는 불필요한 차이를 방지하도록 비교 전에 값을 정규화합니다.","IGNORE_COLUMN_ORDER":"열 순서 무시","WHEN_ENABLED_COLUMNS_ARE_ALIGNED_BY_NAME_INSTEAD":"활성화하면 열이 위치가 아닌 이름을 기준으로 정렬됩니다.","COMPARE_COLUMNS_BY_NAME":"열 이름을 기준으로 비교","IGNORE_WHITESPACE":"공백 무시","TRIM_LEADING_AND_TRAILING_WHITESPACE_BEFORE_COMPARING_CELL":"셀 값을 비교하기 전에 앞뒤 공백을 제거합니다.","TREAT_EXTRA_SPACES_AS_UNCHANGED":"추가 공백을 변경되지 않은 것으로 처리","IGNORE_CASE":"대소문자 무시","USEFUL_WHEN_THE_SAME_VALUES_APPEAR_WITH_MIXED":"동일한 값이 대문자와 소문자가 혼합된 형식으로 표시될 때 유용합니다.","COMPARE_TEXT_CASE_INSENSITIVELY":"대소문자를 구분하지 않고 텍스트 비교","EMPTY_AND_NULL_LIKE_VALUES":"빈 값 및 null 유사 값","TREAT_EMPTY_STRINGS_NULL_UNDEFINED_AND_SIMILAR_PLACEHOLDER":"빈 문자열, null, undefined 및 유사한 자리표시자 값을 동일하게 처리합니다.","NORMALIZE_EMPTY_AND_NULL_LIKE_VALUES":"빈 값 및 null 유사 값 정규화","OUTPUT":"출력","CHOOSE_WHAT_TO_EXPORT_AND_HOW_THE_DOWNLOADABLE":"내보낼 항목과 다운로드 가능한 CSV의 형식을 선택합니다.","OUTPUT_MODE":"출력 모드","SUMMARY_KEEPS_ONE_ROW_PER_RECORD_CHANGED_ROWS":"요약은 레코드당 하나의 행을 유지합니다. 변경된 행은 수정된 항목만 표시합니다. 전체 diff에는 값이 나란히 포함됩니다.","SUMMARY_CSV":"요약 CSV","CHANGED_ROWS_CSV":"변경된 행 CSV","FULL_DIFF_CSV":"전체 diff CSV","DOWNLOAD_SEPARATOR":"다운로드 구분자","CHOOSE_THE_DELIMITER_USED_IN_THE_DOWNLOADABLE_DIFF":"다운로드 가능한 diff CSV에 사용할 구분자를 선택합니다.","INCLUDE_UNCHANGED_ROWS":"변경되지 않은 행 포함","KEEP_UNCHANGED_ROWS_IN_THE_DOWNLOADABLE_OUTPUT_WHEN":"레코드별 전체 감사가 필요한 경우 다운로드 출력에 변경되지 않은 행을 유지합니다.","INCLUDE_UNCHANGED_ROWS_IN_EXPORT":"내보내기에 변경되지 않은 행 포함","INCLUDE_HEADER_ROW":"헤더 행 포함","INCLUDE_COLUMN_HEADERS_IN_THE_DOWNLOADABLE_CSV":"다운로드 가능한 CSV에 열 헤더를 포함합니다.","ADD_CSV_HEADER_ROW":"CSV 헤더 행 추가","CSV_DIFF":"CSV Diff","DIFF_PREVIEW":"Diff 미리보기","DOWNLOAD_DIFFERENCES_CSV":"차이점 CSV 다운로드","DATA_TABLE":"데이터 테이블","CHANGED_ROWS":"변경된 행","SEARCH_VISIBLE_ROWS":"표시된 행 검색","COMPARISON_ERROR":"비교 오류","LARGE_CSV_FILES_STAY_IN_YOUR_BROWSER_WHILE":"worker가 대용량 CSV 파일을 파싱하고 diff를 계산하는 동안 파일은 브라우저에만 유지됩니다.","PREVIEW_THE_CSV_DIFF_HERE":"여기에서 CSV diff를 미리 확인하세요","UPLOAD_TWO_CSV_FILES_CHOOSE_HOW_ROWS_SHOULD":"두 CSV 파일을 업로드하고 행 매칭 방식을 선택하면 이 테이블에 추가, 제거, 변경 및 변경되지 않은 행이 표시됩니다.","NO_ROWS_MATCH_THE_CURRENT_PREVIEW_FILTER":"현재 미리보기 필터와 일치하는 행이 없습니다.","STATUS":"상태","ROW_NUMBER":"행 번호","EXPLAIN_ROW_NUMBER_FORMAT":"행 번호 형식 설명","KEY":"키","LOAD_MORE_ROWS":"행 더 불러오기","END_OF_CURRENT_RESULT_SET":"현재 결과 세트의 끝입니다","WARNINGS":"경고","CHANGED":"변경됨","ADDED":"추가됨","REMOVED":"제거됨","UNCHANGED":"변경되지 않음","PROCESSING":"처리 중","ORIGINAL_SEPARATOR":"원본 구분자:","UPDATED_SEPARATOR":"업데이트된 파일의 구분자:","MATCHED_BY":"매칭 기준:","ORIGINAL_ROWS":"원본 행:","UPDATED_ROWS":"업데이트된 행:","SUMMARY":"요약","MAPPED_COLUMNS":"매핑된 열:","UNMAPPED_COLUMNS":"매핑되지 않은 열:","DUPLICATE_KEY_ROWS_FLAGGED":"표시된 중복 키 행:","PREVIEW_COLUMNS":"미리보기 열:","PARSING_ORIGINAL_CSV":"원본 CSV 파싱 중","PARSING_UPDATED_CSV":"업데이트된 CSV 파싱 중","MATCHING_ROWS":"행 매칭 중","COMPUTING_DIFFERENCES":"차이점 계산 중","FILTER_ALL":"전체","STATUS_ALL":"전체","FILTER_CHANGED":"변경됨","STATUS_CHANGED":"변경됨","FILTER_ADDED":"추가됨","STATUS_ADDED":"추가됨","FILTER_REMOVED":"제거됨","STATUS_REMOVED":"제거됨","FILTER_UNCHANGED":"변경되지 않음","STATUS_UNCHANGED":"변경되지 않음","COPIED":"복사됨","COPY_FAILED":"복사 실패","COPY_DIFFERENCES_CSV":"차이점 CSV 복사","FULL_ROW":"전체 행","FULL_ROW_CONTENT_2":"전체 행 내용","ROW_NUMBER_TOOLTIP":"{original}행 : {updated}행.","ORIGINAL_VALUE_HEADER":"{file} 원본","UPDATED_VALUE_HEADER":"{file} 업데이트","ROWS_CHANGED_PERCENT":"행의 {percent}%가 변경됨","NO_CELL_CHANGES":"셀 변경 사항 없음","NO_CHANGED_CELLS":"변경된 셀이 없습니다.","SHOWING_ROWS":"총 {total}개 행 중 {visible}개 표시","SEPARATOR_OPTION_COMMA":"쉼표 (,)","SEPARATOR_COMMA":"쉼표","SEPARATOR_OPTION_SEMICOLON":"세미콜론 (;)","SEPARATOR_SEMICOLON":"세미콜론","SEPARATOR_OPTION_PIPE":"파이프 (|)","SEPARATOR_PIPE":"파이프","SEPARATOR_OPTION_TAB":"탭 (\\t)","SEPARATOR_TAB":"탭","ROW_ONLY_UPDATED":"이 행은 업데이트된 CSV에만 있습니다.","ROW_ONLY_ORIGINAL":"이 행은 원본 CSV에만 있습니다.","COLUMN_NEW":"새 열","COLUMN_DELETED":"삭제된 열","COLUMNS_CHANGED":"{count, plural, one {#개 열 변경됨} other {#개 열 변경됨}}","COLUMN_SAME":"동일함"}},"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":"실제 비즈니스 데이터를 위한 온라인 CSV diff","HERO_DESC":"이 CSV 비교 도구는 이전/최신 export, CRM 스냅샷, 제품 카탈로그, lead 리스트를 위해 설계되었습니다. 노이즈가 많은 줄 단위 텍스트 diff를 보여주는 대신, 데이터를 기준으로 행을 비교하고, id 또는 email로 행을 매칭할 수 있도록 도우며, 실제로 변경된 셀을 강조 표시합니다.","EXAMPLE":{"TITLE":"예시: id 기준으로 두 개의 CSV export 비교","DESCRIPTION":"이것은 이전 export와 최신 export를 비교하는 일반적인 workflow입니다. 한 행은 변경되지 않고, 한 행은 변경되며, 한 행은 사라지고, 하나의 새 행이 나타납니다.","DIFF_LABEL":"Diff 결과"},"MATCHING":{"TITLE":"key column 기준으로 CSV 행 비교","PARAGRAPHS":["온라인에서 두 개의 CSV 파일을 비교하는 가장 좋은 방법은 보통 `id`, `email`, `sku`, `uuid`와 같은 안정적인 key를 기준으로 행을 매칭하는 것입니다. 도구는 이러한 column을 찾으면 가능성이 높은 key column을 자동으로 제안하지만, 직접 변경하거나 여러 key column을 선택하거나 전체 행 비교로 전환할 수도 있습니다.","이 기능은 파일에 동일한 레코드가 서로 다른 순서로 들어 있거나, export 사이에 column 순서가 재배치된 경우 특히 유용합니다."]},"STATUSES":{"TITLE":"추가됨, 삭제됨, 변경됨, 변경 없음 행","PARAGRAPHS":["diff 결과는 행을 추가됨, 삭제됨, 변경됨, 변경 없음의 네 가지 실용적인 상태로 구분합니다. 변경된 행의 경우, 미리보기에서 어떤 column이 변경되었는지와 이전 값 대비 새 값을 확인할 수 있습니다.","이 때문에 이 도구는 특히 비기술 팀에게 무엇이 바뀌었는지 설명해야 할 때, 단순한 CSV 텍스트 diff보다 훨씬 유용합니다."]},"ADVANCED_TITLE":"더 정밀한 비교를 위한 고급 CSV diff 설정","ADVANCED_DESC":"대부분의 온라인 CSV diff 도구는 기본 compare 버튼에서 멈춥니다. 이 도구는 key column 기준 CSV 비교, 행 join 방식 조정, 서식만 다른 차이 무시, 다운로드할 정확한 diff 출력 선택이 필요할 때 더 많은 제어 기능을 제공합니다.","DETAIL_CARDS":[{"TITLE":"Join 유형: full outer join, inner join, 또는 left join","PARAGRAPHS":["Join 유형은 최종 CSV diff에 어떤 행이 표시될지를 정의합니다. full outer join이 기본값인 이유는 모든 것을 보여주기 때문입니다: 매칭된 행, 추가된 행, 삭제된 행. inner join은 두 파일에 모두 존재하는 행만 유지합니다. left join은 원본 CSV를 기준으로 유지하며, 주로 어떤 원본 레코드가 변경되었거나 사라졌는지 확인하고 싶을 때 유용합니다.","이는 “full outer join CSV compare” 또는 “removed rows를 포함해 old/new CSV file compare” 같은 검색에 특히 도움이 됩니다. join 모드에 따라 diff의 의미가 달라지기 때문입니다."]},{"TITLE":"id, email, SKU 및 multi-key 비교를 위한 key column 매칭","PARAGRAPHS":["CSV를 id, email, SKU, uuid 또는 다른 식별자로 비교하려면, key column 설정이 결과의 신뢰성을 결정합니다. 도구는 줄 순서로 행을 매칭하는 대신 선택한 key를 기준으로 레코드를 매칭하므로, column 재정렬이나 행 이동이 잘못된 차이를 만들지 않습니다.","하나의 필드만으로는 충분히 고유하지 않을 때는 여러 key column을 함께 사용할 수도 있습니다. 따라서 이 도구는 “compare CSV by key column” 또는 “compare CSV files by multiple columns” 같은 보다 고급 검색에도 유용합니다."]},{"TITLE":"whitespace, 대소문자, null 유사 값을 무시하는 비교 설정","PARAGRAPHS":["실제 export는 종종 서식 차이만 존재하는 경우가 많습니다. 한 파일에는 추가 공백, 대문자 텍스트, 또는 `null`, `N/A`, 빈 문자열 같은 placeholder 값이 포함될 수 있습니다. 비교 설정을 사용하면 diff 계산 전에 whitespace 차이를 무시하고, 대소문자를 무시하며, 빈 값과 null 유사 값을 동일하게 처리할 수 있습니다.","이 옵션은 사용자가 단순한 텍스트 diff가 아닌 더 고급 CSV 비교 도구를 찾을 때 중요합니다. 노이즈를 줄이고 미리보기를 실제 데이터 변경에 집중할 수 있도록 도와줍니다."]},{"TITLE":"출력 형식: summary CSV, changed rows CSV, 또는 full diff CSV","PARAGRAPHS":["일부 workflow는 행 상태와 key가 포함된 간단한 summary만 필요합니다. 다른 경우에는 변경된 행만 담은 CSV나 원본 값과 업데이트된 값이 나란히 포함된 full diff CSV가 필요합니다. 출력 설정을 통해 해당 형식을 선택하고, 구분자를 지정하며, 변경되지 않은 행을 export 파일에 유지할지 결정할 수 있습니다.","이로 인해 이 도구는 많은 무료 온라인 CSV diff 도구보다 더 유연합니다. export된 결과를 audit, 비즈니스 리뷰, reconciliation workflow 또는 후속 스프레드시트 작업에 맞게 조정할 수 있기 때문입니다."]},{"TITLE":"대용량 CSV 파일 온라인 비교","PARAGRAPHS":["이 도구는 브라우저에서 모든 행을 렌더링하려 하지 않고도 대용량 CSV 파일을 온라인으로 비교할 수 있도록 설계되었습니다. 전체 summary count를 계산하고, 미리보기는 관리 가능한 샘플로 제한하면서도, 이후 전체 diff 결과를 다운로드할 수 있도록 합니다.","대용량 export를 위한 무료 CSV diff 도구가 필요하다면, 이 대용량 파일 workflow가 바로 이 페이지의 핵심입니다."]},{"TITLE":"다양한 CSV 인코딩 지원","PARAGRAPHS":["실제 CSV 파일은 항상 일반 UTF-8로 저장되지는 않습니다. 이 도구는 UTF-8, BOM 포함 UTF-8, UTF-16 LE, UTF-16 BE, Windows-1252, Latin-1 스타일 파일을 포함한 일반적인 스프레드시트 및 export 인코딩을 처리할 수 있도록 설계되었습니다.","이는 Excel, 오래된 비즈니스 소프트웨어, 또는 그렇지 않으면 액센트 문자가 깨지거나 읽을 수 없는 문자로 열리는 지역별 export에서 생성된 파일에 대해 온라인 CSV diff가 필요할 때 중요합니다."]},{"TITLE":"diff 데이터 테이블의 행 번호","PARAGRAPHS":["key column 기준으로 CSV 파일을 비교할 때, diff 데이터 테이블은 매칭된 각 레코드의 원본 행 번호도 표시할 수 있습니다. 행이 같은 위치에 유지되었다면 하나의 행 번호가 보입니다. 레코드가 이동했다면, 각 파일에서 추적할 수 있도록 두 개의 행 번호가 모두 표시됩니다.","이는 무엇이 변경되었는지뿐 아니라 해당 행이 원본 CSV와 업데이트된 CSV의 정확히 어디에서 왔는지 설명해야 하는 audit, reconciliation 작업, support 사례에 유용합니다."]},{"TITLE":"브라우저 기반의 비공개 처리","PARAGRAPHS":["CSV 파일은 브라우저 내에서 파싱되고 비교됩니다. 이는 고객 export, 매출 스냅샷, 재고 데이터 또는 사용자의 장치에 그대로 남아 있어야 하는 기타 민감한 스프레드시트를 다룰 때 중요합니다.","또한 결과를 확인하기 전에 서버 측 업로드 단계를 거칠 필요가 없으므로 온라인 CSV diff 경험이 더 빨라집니다."]}],"FAQ_TITLE":"FAQ","FAQ_ITEMS":[{"QUESTION":"온라인에서 두 개의 CSV 파일을 어떻게 비교하나요?","ANSWER":"원본 CSV와 업데이트된 CSV를 업로드하고, 행을 어떻게 매칭할지 선택한 다음, diff 미리보기를 검토하고, summary 또는 full diff CSV를 다운로드하면 됩니다. 보통 id, email 또는 다른 안정적인 key로 매칭하면 가장 명확한 결과를 얻을 수 있습니다."},{"QUESTION":"id 기준으로 CSV 파일을 비교할 수 있나요?","ANSWER":"예. 이 도구는 key column 기준으로 CSV 행을 비교하도록 설계되었습니다. id, email, sku, key, uuid 같은 column을 자동 제안할 수 있으며, 하나의 column만으로 충분하지 않을 때는 여러 key column을 선택할 수도 있습니다."},{"QUESTION":"column 순서가 바뀌면 어떻게 되나요?","ANSWER":"기본 동작은 단순히 위치가 아니라 column 이름을 기준으로 비교합니다. 즉, 두 파일에 동일한 이름의 column이 존재하면 column 순서가 바뀌어도 잘못된 차이가 생기지 않습니다."},{"QUESTION":"CSV diff에서 join 유형은 무엇을 의미하나요?","ANSWER":"Join 유형은 결과에 어떤 행이 포함될지를 제어합니다. full outer join은 매칭된 행, 추가된 행, 삭제된 행을 포함합니다. inner join은 두 파일 모두에서 발견되는 행만 포함합니다. left join은 원본 CSV를 기준으로 유지하고, 업데이트된 파일에만 존재하는 행은 제외합니다."},{"QUESTION":"whitespace나 대소문자 차이를 무시할 수 있나요?","ANSWER":"예. 비교 설정에서 whitespace를 무시하고, 대소문자를 무시하며, 빈 값 또는 null 유사 값을 동일하게 처리할 수 있습니다. 이를 통해 서식상의 노이즈가 아니라 실제 데이터 변경을 찾는 데 도움이 됩니다."},{"QUESTION":"어떤 CSV 인코딩이 지원되나요?","ANSWER":"이 도구는 UTF-8, BOM 포함 UTF-8, UTF-16 LE, UTF-16 BE, Windows-1252, Latin-1 스타일 파일을 포함한 일반적인 CSV 인코딩과 호환됩니다. 이는 Excel, 레거시 소프트웨어, 비 UTF-8 비즈니스 시스템의 CSV export를 처리하는 데 도움이 됩니다."},{"QUESTION":"diff에서 행 번호를 볼 수 있나요?","ANSWER":"예. 행이 key column으로 매칭되면, diff 데이터 테이블에서 두 파일의 행 번호를 표시할 수 있습니다. 각 파일에서 레코드가 서로 다른 줄 번호에 있으면 두 행 번호가 모두 표시되어 원본 CSV로 추적할 수 있습니다."},{"QUESTION":"어떤 출력 형식을 사용할 수 있나요?","ANSWER":"summary CSV, changed rows CSV, 또는 full diff CSV를 export할 수 있습니다. 출력 설정에서는 구분자와 변경되지 않은 행을 포함할지도 선택할 수 있습니다."},{"QUESTION":"대용량 CSV 파일도 비교할 수 있나요?","ANSWER":"예. 페이지의 반응성을 유지하기 위해 미리보기는 제한되지만, count 계산과 다운로드를 위한 full diff는 계속 계산됩니다. 따라서 단순히 DOM에 많은 행을 렌더링하는 viewer보다 더 큰 export에도 적합합니다."},{"QUESTION":"이 CSV 비교 도구는 무료인가요?","ANSWER":"예. 이 페이지는 무료 온라인 CSV diff 도구입니다. 데스크톱 설치 없이도 온라인에서 CSV 파일을 비교하고, 차이를 확인하고, 결과를 다운로드할 수 있습니다."}],"OTHER_TOOLS_DESC":"두 개의 CSV 파일을 비교한 뒤 다른 데이터 유틸리티가 필요하신가요? 이 도구들은 인접한 정리 및 변환 workflow를 위해 설계되었습니다."},"ToolsCsvRowsSplitter":{"PAGE_TITLE":"CSV 행 분할기 — 구분자로 CSV 행 분할/확장","PAGE_DESC":"구분자로 CSV 행을 분할하는 무료 온라인 도구입니다. 컬럼을 선택하고 구분자를 지정하면, 여러 값을 담은 셀을 값당 한 행으로 확장할 수 있습니다. 대용량 파일도 지원하며, 모든 작업은 브라우저 내에서 처리됩니다.","SCHEMA_NAME":"Datablist CSV 행 분할기","SCHEMA_DESC":"무료 온라인 CSV 행 분할기입니다. 컬럼과 구분자를 선택해 여러 값을 담은 셀을 개별 행으로 분할합니다. 완전한 브라우저 기반으로 동작하며 대용량 파일도 처리할 수 있습니다.","TOOL":{"CHARS":"문자","COLUMN_HELP":"각 셀에 여러 값이 들어 있는 열을 선택하세요.","COLUMN_LABEL":"분할할 열","COPY_ARIA":"CSV 복사","COPY_DONE_LABEL":"복사됨!","DELIMITER_CUSTOM_HINT":"또는 사용자 지정 구분자를 입력하세요","DELIMITER_HELP":"셀 내부의 값을 구분하는 데 사용되는 문자입니다.","DELIMITER_LABEL":"셀 구분자","EMPTY_SOURCE_LABEL":"CSV를 붙여넣거나 파일을 업로드하세요","ERROR_MISSING_SOURCE":"먼저 CSV 데이터를 붙여넣거나 CSV 파일을 업로드하세요.","NO_PREVIEW_DESC":"CSV를 업로드하거나 데이터를 붙여넣은 뒤 행 분할을 클릭하세요.","NO_PREVIEW_TITLE":"아직 미리보기가 없습니다","OPTIONS_DUPLICATES_DESC":"셀 안의 각 값에서 첫 번째 항목만 유지합니다.","OPTIONS_DUPLICATES_LABEL":"중복 제거","OPTIONS_HEADER":"옵션","OPTIONS_SKIP_EMPTY_DESC":"분할 후 비어 있게 되는 행은 제거합니다.","OPTIONS_SKIP_EMPTY_LABEL":"빈 값 건너뛰기","OPTIONS_TRIM_DESC":"각 값의 앞뒤 공백을 제거합니다.","OPTIONS_TRIM_LABEL":"공백 제거","OVERLAY_DESC":"파일은 로컬에서 파싱되며 즉시 미리보기됩니다.","OVERLAY_TITLE":"여기에 CSV 파일을 놓으세요","PASTE_LABEL":"CSV 붙여넣기","PASTED_LABEL":"붙여넣은 CSV","PREVIEW_LIMIT":"{total}개 행 중 {count}개","PREVIEW_SPLIT_BADGE":"분할","ROWS_AFTER":"분할 후 행 수","ROWS_BEFORE":"분할 전 행 수","STATUS_FAILED":"처리에 실패했습니다","STATUS_PREVIEW_READY":"미리보기가 준비되었습니다","STATUS_PROCESSING":"CSV 처리 중…","STATUS_WAITING":"입력을 기다리는 중","SUBMIT_LABEL":"행 분할","TRUST_BROWSER":"브라우저에서 처리됨","TRUST_LARGE_FILES":"대용량 CSV 파일도 지원","TRUST_NO_UPLOAD":"서버에 업로드하지 않음","DELIMITERS":{"COMMA":"쉼표 ,","SEMICOLON":"세미콜론 ;","PIPE":"파이프 |","TAB":"탭 \\t"},"CUSTOM_DELIMITER":"사용자 지정…","PASTE_PLACEHOLDER":"이름,이메일\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":"전체 {total}개 행 중 {count}개를 표시하고 있습니다. 모든 행을 확인하려면 CSV를 다운로드하세요."},"KEYWORDS":["구분자로 csv 행 분할","csv에서 컬럼을 여러 행으로 분할","excel에서 셀을 여러 행으로 분할","csv 데이터 정규화","csv 다중값 셀 정규화","csv utf-8 utf-16 windows-1252","csv latin-1 인코딩 도구","csv 행 확장","csv 다중값 컬럼 unpivot","쉼표로 구분된 값을 행으로 분할","csv explode column","csv 컬럼 unnest","셀당 여러 값을 tidy data로 정리","csv 컬럼 flatten","excel에서 쉼표로 구분된 값을 여러 행으로 분할","한 셀에 여러 값이 있는 csv 정규화 방법","온라인에서 다중값 셀을 csv 행으로 변환","한 셀의 emails를 여러 행으로 분할","datablist 도구"],"HERO_TITLE":"구분자로 CSV 행 분할 — 몇 초 만에. Excel 수식 없이.","HERO_DESC":"CRM에서 contacts를 export했는데 모든 emails가 쉼표로 구분되어 한 셀에 들어 있었습니다. 저는 email 하나당 한 행이 필요했습니다. Excel로는 너무 번거로웠고, 이 도구로는 10초면 끝났습니다.","WHY_TITLE":"다중값 셀 분할이 중요한 이유","WHY_DESC":"CRM, 이커머스 플랫폼, 설문조사 export 파일은 여러 값을 하나의 셀에 담아 내보내는 경우가 많습니다. 태그, emails, 전화번호, 카테고리 등이 구분자 뒤에 한꺼번에 들어갑니다. 정규화된 데이터는 import, 중복 제거, 필터링, enrichment가 훨씬 쉽습니다. 대부분의 도구는 값 하나당 한 행 구조를 기본으로 기대합니다.","INTRO_CARDS":[{"TITLE":"CSV에서 하나의 컬럼을 여러 행으로 분할","PARAGRAPHS":["이 도구는 CSV에서 하나의 컬럼을 여러 행으로 분할해야 할 때 사용합니다. 하나의 셀에 여러 emails, 태그, 전화번호, 카테고리, 스킬 또는 ID가 구분자로 나뉘어 들어 있는 파일을 위해 만들어졌습니다.","다른 시스템에 파일을 import하기 전에 CSV 데이터를 정규화하고, CSV 다중값 셀을 정리하는 가장 빠른 방법 중 하나입니다. 하나의 레코드에 여러 값을 유지하는 대신, CSV의 행을 확장해 각 값이 각각의 행을 갖도록 만듭니다."]},{"TITLE":"Excel에서 셀을 여러 행으로 분할하는 방법","PARAGRAPHS":["많은 사용자가 Excel에서 셀을 여러 행으로 분할하는 방법, 또는 Excel에서 쉼표로 구분된 값을 여러 행으로 분할하는 방법을 찾습니다. CSV 파일의 경우, 이 온라인 도구는 수식을 만들거나 Power Query를 사용하거나 행을 수동으로 복사하는 것보다 보통 더 빠릅니다.","CSV를 붙여넣거나 업로드하고, 컬럼을 선택하고, 구분자를 확인한 뒤 결과를 다운로드하면 됩니다. 다중값 셀을 온라인에서 CSV 행으로 변환하는 것이 목적이라면, 이 페이지는 바로 그 workflow를 위해 만들어졌습니다."]}],"EXAMPLES":{"EMAILS":{"TITLE":"예시: 여러 email이 있는 contacts를 email당 한 행으로 분할","DESCRIPTION":"일반적인 CRM export에서는 하나의 contact에 대한 모든 email이 하나의 셀에 들어 있습니다. 분할을 하면 각 contact가 개별 행으로 확장되어 어떤 도구로든 import할 수 있습니다.","INPUT_LABEL":"CSV 입력","OUTPUT_LABEL":"CSV 출력"},"TAGS":{"TITLE":"예시: 제품 태그를 개별 행으로 explode","DESCRIPTION":"제품 카탈로그는 여러 태그를 하나의 셀에 담는 경우가 많습니다. 분할하면 필터링, 그룹화 또는 분석에 바로 사용할 수 있는 태그당 한 행 구조로 정리됩니다.","INPUT_LABEL":"CSV 입력","OUTPUT_LABEL":"CSV 출력"}},"SETTINGS_CARDS":[{"TITLE":"도구가 CSV 행을 분할하는 방식","ITEMS":[{"TITLE":"분할할 컬럼","BODY":"하나의 셀 안에 여러 값이 들어 있는 컬럼을 선택하세요. 다른 모든 컬럼은 새로 생성된 행에 그대로 복제됩니다. 현재 버전에서는 한 번에 하나의 컬럼만 확장할 수 있습니다."},{"TITLE":"셀 구분자","BODY":"셀 내부의 값을 나누는 문자입니다 — CSV 컬럼 구분자와는 다릅니다. 일반적으로 쉼표, 세미콜론, 파이프, 탭을 많이 사용합니다. 도구는 데이터에 맞는 구분자를 제안합니다."},{"TITLE":"공백 제거","BODY":"기본적으로 활성화되어 있습니다. 분할 후 각 값의 앞뒤 공백을 제거합니다. 값이 \",\"가 아니라 \", \"처럼 구분되어 있을 때 특히 유용합니다."}]},{"TITLE":"고급 옵션","ITEMS":[{"TITLE":"중복 제거","BODY":"셀에 `a,a,b`가 들어 있을 때 이 옵션을 활성화하면 `a`는 하나만 유지되고, 세 행 대신 두 행이 생성됩니다. 원본 데이터에 실수로 같은 값이 반복된 경우 유용합니다."},{"TITLE":"빈 값 건너뛰기","BODY":"분할 결과 빈 문자열이 생길 경우, 예를 들어 `a,b,`처럼 마지막에 구분자가 있는 경우 이 옵션은 빈 행을 만들지 않고 해당 빈 값을 제거합니다."},{"TITLE":"빈 셀은 기본적으로 유지됨","BODY":"셀이 완전히 비어 있으면 해당 행은 원래 상태로 유지됩니다. 실제로 구분자가 포함된 셀만 확장됩니다."}]}],"INFO_CARDS":[{"TITLE":"대용량 CSV 파일 지원","PARAGRAPHS":["분할을 수행하면 행 수가 늘어나며, 경우에 따라 크게 증가할 수 있습니다. 예를 들어 5,000행 파일에서 셀당 평균 3개의 값이 있으면 15,000행이 됩니다. 이 도구는 이런 경우도 무리 없이 처리합니다.","브라우저 반응성을 유지하기 위해 미리보기에는 출력 결과의 처음 100행만 표시됩니다. 분할 결과가 올바른지 확인한 뒤 전체 CSV를 다운로드할 수 있습니다."]},{"TITLE":"여러 CSV 인코딩과 호환","PARAGRAPHS":["스프레드시트나 레거시 export에서 생성된 CSV 파일은 항상 같은 방식으로 인코딩되지 않습니다. 이 도구는 UTF-8, BOM 포함 UTF-8, UTF-16 LE, UTF-16 BE, Windows-1252, Latin-1 형식 파일 등 일반적인 CSV 인코딩을 지원합니다.","따라서 액센트 문자, 특수문자 또는 기본 온라인 도구에서 자주 깨지는 오래된 export 형식이 포함된 CSV 파일을 분할해야 할 때 더 안정적으로 사용할 수 있습니다."]},{"TITLE":"파일은 브라우저를 벗어나지 않습니다","PARAGRAPHS":["모든 파싱과 분할 작업은 Web Worker를 사용해 브라우저 내 로컬에서 처리됩니다. 파일이 서버로 업로드되지 않습니다. 고객 데이터, CRM export 또는 민감한 contact 목록을 다룰 때 특히 중요합니다.","이 도구는 무료로 사용할 수 있으며 계정이 필요 없습니다."]}],"USE_CASES_TITLE":"이 도구를 사용해야 하는 경우","USE_CASES":[{"TITLE":"쉼표로 구분된 값을 행으로 분할","BODY":"하나의 셀 안의 `a,b,c`를 세 개의 개별 행으로 변환합니다 — CRM 및 이커머스 export에서 가장 흔한 사용 사례입니다."},{"TITLE":"셀당 여러 email이 있는 CSV 정규화","BODY":"한 사람에게 여러 emails가 하나의 컬럼에 담겨 있는 contact 목록을 확장해, 각 email이 개별 행을 갖도록 만듭니다."},{"TITLE":"여러 값을 가진 컬럼을 행으로 분할","BODY":"하나의 CSV 컬럼이 한 셀 안에 여러 값을 저장하고 있다면, 이를 개별 행으로 확장해 import, 필터링, 분석이 더 쉬운 파일로 만듭니다."},{"TITLE":"태그와 카테고리 explode","BODY":"제품 카탈로그, 블로그 게시물, 지원 티켓은 하나의 필드에 여러 태그를 저장하는 경우가 많습니다. 분석 전에 이를 정규화하세요."},{"TITLE":"전화번호 unnest","BODY":"contacts에 여러 전화번호가 한 셀에 들어 있는 경우, 이를 개별 행으로 분할하면 dialer 또는 CRM으로 더 깔끔하게 import할 수 있습니다."},{"TITLE":"중복 제거를 위한 tidy data 준비","BODY":"값 하나당 한 행은 tidy data의 표준입니다. 분할 후 Datablist를 사용해 결과를 deduplicate하고, 필터링하고, enrich할 수 있습니다."},{"TITLE":"import용 데이터 준비","BODY":"대부분의 CRM 및 마케팅 플랫폼은 값 하나당 한 행 구조를 기대합니다. 데이터 import 또는 enrichment 전, 분할은 종종 첫 번째 단계입니다."}],"VOCABULARY":{"TITLE":"CSV explode, unnest, flatten 또는 unpivot","PARAGRAPHS":["도구마다 이 변환을 설명하는 방식이 다릅니다. CSV explode column 도구를 찾고 있을 수도 있고, CSV 컬럼을 unnest하는 방법, CSV 컬럼을 flatten하는 방법, 또는 CSV 다중값 컬럼 unpivot workflow를 찾고 있을 수도 있습니다.","실제로 목표는 같습니다. 셀당 여러 값을 가진 데이터를 정리해 값 하나가 한 행이 되도록 만드는 것입니다. 이 구조는 join, deduplicate, group, enrich, export가 더 쉽습니다."]},"FAQ_TITLE":"자주 묻는 질문","FAQ_ITEMS":[{"QUESTION":"셀 구분자로 세미콜론을 사용할 수 있나요?","ANSWER":"예. 이 도구는 쉼표, 세미콜론, 파이프, 탭 및 사용자 지정 구분자를 지원합니다. 또한 컬럼을 선택하면 데이터에 맞는 구분자를 자동 감지하려고 시도합니다."},{"QUESTION":"대용량 CSV 파일에서도 작동하나요?","ANSWER":"예. 분할은 Web Worker 내부에서 처리되므로 브라우저를 멈추게 하지 않습니다. 미리보기는 100행으로 제한되지만, 파일에 수만 행이 있어도 전체 출력 결과는 다운로드할 수 있습니다."},{"QUESTION":"내 데이터가 서버에 업로드되나요?","ANSWER":"아니요. 모든 작업은 브라우저 내 로컬에서 실행됩니다. CSV는 어떤 서버로도 전송되지 않습니다. 따라서 고객 데이터, 내부 export, 또는 업로드하고 싶지 않은 모든 데이터에 안전합니다."},{"QUESTION":"어떤 CSV 인코딩을 지원하나요?","ANSWER":"이 도구는 UTF-8, BOM 포함 UTF-8, UTF-16 LE, UTF-16 BE, Windows-1252, Latin-1 형식 파일 등 일반적인 CSV 인코딩과 호환됩니다. 따라서 Excel, 오래된 소프트웨어 또는 액센트 문자가 포함된 export에서 생성된 CSV도 더 수월하게 처리할 수 있습니다."},{"QUESTION":"구분자가 없는 셀은 어떻게 되나요?","ANSWER":"원래 상태로 유지됩니다. 실제로 구분자 문자가 포함된 셀만 여러 행으로 확장됩니다. 빈 셀도 기본적으로 유지됩니다."},{"QUESTION":"따옴표로 감싼 CSV 필드를 올바르게 처리하나요?","ANSWER":"예. 내부 CSV 파서는 따옴표로 감싼 필드를 올바르게 처리합니다. 예를 들어 \"mia.chen@example.test,mia@workmail.test\" 같은 값은 하나의 값으로 인식되며, CSV 구분자가 아니라 셀 구분자를 기준으로 분할됩니다."}],"CTA_TITLE":"분할 후 데이터를 deduplicate하거나 enrich해야 하나요?","CTA_DESC":"데이터가 정규화되어 값 하나당 한 행 구조가 되면, Datablist로 contacts를 쉽게 deduplicate하고, 외부 데이터로 enrich하고, 어떤 컬럼으로든 필터링하고, 깔끔한 최종 파일로 export할 수 있습니다.","CTA_LABEL":"Datablist 무료로 시작하기","OTHER_TOOLS_DESC":"CSV를 분할한 뒤 다른 데이터 유틸리티가 필요하신가요? 아래 도구들은 인접한 정리 및 변환 workflow를 지원합니다."},"ToolsCsvSplitter":{"PAGE_TITLE":"CSV Splitter — 행 수, 파일 크기, 값, 규칙 또는 날짜 기준으로 CSV 파일 분할","PAGE_DESC":"지저분한 실제 export 데이터를 위한 무료 온라인 CSV Splitter입니다. 컬럼을 자동 감지하고, 스마트한 분할 옵션을 제안하며, 출력 파일을 미리보기로 확인하고, 브라우저에서 바로 CSV 또는 ZIP 결과를 다운로드할 수 있습니다.","SCHEMA_NAME":"Datablist CSV Splitter","SCHEMA_DESC":"행 수, 파일 크기, 그룹화된 값, 규칙, 날짜 범위를 기준으로 분할할 수 있는 무료 온라인 CSV splitter입니다. 전적으로 브라우저에서 실행되며, 여러 파일로 된 export 결과는 ZIP 아카이브로 다운로드됩니다.","TOOL":{"ANALYSIS_COLUMNS":"열","ANALYSIS_DELIMITER":"구분자","ANALYSIS_ENCODING":"인코딩","ANALYSIS_ROWS":"행","DOWNLOAD_ACTIVE_FILE":"현재 파일 다운로드","EMPTY_SOURCE_LABEL":"CSV를 업로드하거나 아래에 붙여넣으세요","ERROR_INVALID_ROWS_PER_FILE":"파일당 행 수는 0보다 큰 정수여야 합니다.","ERROR_LOAD_FILE":"이 CSV 파일을 불러올 수 없습니다.","ERROR_LOAD_PASTED_CSV":"붙여넣은 CSV를 읽을 수 없습니다.","ERROR_MISSING_RULES":"이 분할을 미리보기하기 전에 최소 1개의 규칙을 추가하세요.","ERROR_MISSING_SOURCE":"계속하기 전에 CSV를 붙여넣으세요.","ERROR_MISSING_SOURCE_FOR_PREVIEW":"먼저 CSV를 업로드하거나 붙여넣으세요.","ERROR_RULE_FILE_LABEL":"이 분할을 미리보기하기 전에 각 규칙에 대상 파일 이름이 필요합니다.","FILE_HINT":"CSV 구분자, 따옴표로 감싼 줄바꿈, 중복 헤더, 인코딩은 자동으로 처리됩니다.","LOAD_FIRST_DESC":"파일을 업로드하거나 CSV를 붙여넣은 다음, 계속하려면 분할 모드를 선택하세요.","LOAD_FIRST_TITLE":"먼저 CSV를 불러오세요","MODE_LOCKED_HINT":"이 분할 모드를 사용하려면 CSV를 업로드하거나 붙여넣으세요.","MODE_OPTIONS":[{"DESCRIPTION":"고정된 행 수로 파일을 생성합니다. 대부분의 export에 가장 안전한 기본 옵션입니다.","LABEL":"행 기준으로 분할","MODE":"rows"},{"DESCRIPTION":"다른 도구가 큰 CSV 파일을 거부할 때, 각 파일이 대략적인 업로드 제한 이하로 유지되도록 합니다.","LABEL":"파일 크기 기준으로 분할","MODE":"size"},{"DESCRIPTION":"국가, 담당자, 상태 또는 기타 반복되는 카테고리별로 파일을 하나씩 생성합니다.","LABEL":"열 값 기준으로 분할","MODE":"column_value"},{"DESCRIPTION":"국가, email 도메인, 회사 규모 같은 간단한 조건에 따라 행을 파일로 보냅니다.","LABEL":"규칙 기준으로 분할","MODE":"conditional"},{"DESCRIPTION":"날짜 열을 사용해 행을 월, 연도 또는 ISO 주차별로 그룹화합니다.","LABEL":"날짜 범위 기준으로 분할","MODE":"date_range"}],"PASTE_CARD_DESC":"빠른 테스트를 하거나 파일이 이미 클립보드에 있을 때 유용합니다.","PASTE_CARD_TITLE":"CSV 붙여넣기","PASTE_DROP_HINT":"붙여넣거나 파일을 드롭하세요","PASTED_LABEL":"붙여넣은 CSV","PREPARING_MODE_DESC":"이 모드는 설정을 표시하기 전에 더 깊은 열 스캔이 필요합니다.","PREPARING_MODE_TITLE":"이 분할 모드 준비 중","PREVIEW_AFTER_BUILD_DESC":"분할 모드를 선택하고 설정을 조정한 뒤, 다운로드 전에 출력 파일을 미리보세요.","PREVIEW_AFTER_BUILD_TITLE":"분할을 구성한 후 미리보기가 제공됩니다","PREVIEW_PANEL_DESC":"다운로드 전에 파일 수, 경고, 각 출력 결과의 미리보기를 검토하세요.","PREVIEW_PANEL_TITLE":"미리보기 및 다운로드","PREVIEW_SPLIT_LABEL":"분할 미리보기","READY_TO_SPLIT":"분할 준비 완료","STATUS_ANALYSIS_READY":"분석 준비 완료","STATUS_ANALYZING":"열 분석 중…","STATUS_BUILDING_PREVIEW":"분할 미리보기 생성 중…","STATUS_CHOOSE_MODE":"분할 모드를 선택하세요","STATUS_LOADING_PREVIEW":"파일 미리보기 불러오는 중…","STATUS_PREPARING_DOWNLOAD":"파일 다운로드 준비 중…","STATUS_PREPARING_ZIP":"ZIP 아카이브 준비 중…","STATUS_PREVIEW_READY":"미리보기 준비 완료","STATUS_READY_TO_SPLIT":"분할 준비 완료","STATUS_SETTINGS_READY":"설정을 조정하고 미리보세요","STATUS_UNABLE_LOAD_CSV":"CSV를 불러올 수 없음","STATUS_UNABLE_LOAD_FILE":"파일을 불러올 수 없음","STATUS_WAITING":"CSV 파일을 기다리는 중","STATUS_ZIP_READY":"ZIP 준비 완료","UPLOAD_CSV":"CSV 업로드","USE_CSV":"CSV 사용","UI":{"NAME_EMAIL_COUNTRY_10_ALICE_ALICE_EXAMPLE":"name,email,country\nAlice,alice@example.com,FR","ROWS_PER_FILE":"파일당 행 수","MAX_SIZE_PER_FILE_BYTES":"파일당 최대 크기(바이트)","USE_250000_FOR_ROUGHLY_250_KB_1000000":"약 250KB에는 250000을, 약 1MB에는 1000000을 사용하세요.","GOOD_WHEN_DOWNSTREAM_TOOLS_HAVE_UPLOAD_LIMITS":"후속 도구에 업로드 용량 제한이 있을 때 유용합니다","SIZE_BASED_CHUNKS_USE_EXACT_ROW_SIZES":"크기 기반 분할은 정확한 행 크기를 사용하지만, 행별 크기 차이가 크면 행 수 기반 분할보다 결과를 예측하기 어렵습니다.","SPLIT_BY_COLUMN_S":"열 기준으로 분할","USE_ONE_COLUMN_FOR_SIMPLE_SEGMENTATION_OR":"간단히 세분화하려면 하나의 열을 사용하고, 더 세분화된 결과가 필요하면 여러 열을 조합하세요.","LIMIT_OUTPUT_FILES":"출력 파일 수 제한","RULE_BUILDER":"규칙 빌더","RULES_RUN_IN_ORDER_CHOOSE_FIRST_MATCH":"규칙은 순서대로 실행됩니다. 첫 번째로 일치하는 규칙만 적용하거나, 행을 여러 파일에 포함할 수 있습니다.","ADD_RULE":"규칙 추가","RULE":"규칙","REMOVE":"제거","EQUALS":"같음","DOES_NOT_EQUAL":"같지 않음","CONTAINS":"포함","DOES_NOT_CONTAIN":"포함하지 않음","STARTS_WITH":"다음으로 시작","ENDS_WITH":"다음으로 끝남","GREATER_THAN":"초과","GREATER_THAN_OR_EQUAL":"이상","LESS_THAN":"미만","LESS_THAN_OR_EQUAL":"이하","IS_EMPTY":"비어 있음","IS_NOT_EMPTY":"비어 있지 않음","COMPARISON_VALUE":"비교 값","DESTINATION_FILE_NAME":"대상 파일 이름","THIS_IS_THE_FILE_THAT_WILL_RECEIVE":"이 규칙과 일치하는 행을 받을 파일입니다. 예: enterprise, gmail 또는 north-america.","EXAMPLE_ENTERPRISE":"예: enterprise","CASE_SENSITIVE":"대소문자 구분","DATE_COLUMN":"날짜 열","GROUP_BY":"그룹화 기준","MONTH":"월","YEAR":"연도","ISO_WEEK":"ISO 주","ADVANCED_SETTINGS":"고급 설정","USE_THESE_ONLY_WHEN_THE_SIMPLE_SETUP":"기본 설정만으로 충분하지 않을 때 사용하세요. 열 선택 및 세부 조정 옵션이 여기에 있습니다.","EXPORT_SETTINGS":"내보내기 설정","FILENAME_PATTERN":"파일 이름 패턴","USE_VARIABLES_LIKE_INDEX_AND_LABEL_EXAMPLE":"{index}, {label}과 같은 변수를 사용하세요. 예: batch-{index}-{label}","STARTING_NUMBER":"시작 번호","THE_FIRST_FILE_INDEX_USED_WHEN_INDEX":"파일 이름 패턴에 {index}가 포함될 때 사용할 첫 번째 파일 인덱스입니다.","COLUMNS_TO_KEEP_IN_THE_OUTPUT":"출력에 유지할 열","PROJECTION_HAPPENS_BEFORE_THE_SPLIT_IT_REDUCES":"열 선택은 분할 전에 적용됩니다. 파일 크기를 줄이고 내보낸 파일을 더 깔끔하게 유지합니다.","SELECT_ALL":"모두 선택","UNSELECT_ALL":"모두 선택 해제","ROW_SETTINGS":"행 설정","OVERLAP_ROWS":"중복 행 수","USEFUL_WHEN_BATCH_TOOLS_NEED_CONTEXT_IN":"배치 도구가 다음 파일에서 이전 맥락을 필요로 할 때 유용합니다.","SHUFFLE_ROWS":"행 순서 섞기","USEFUL_FOR_EXPERIMENTS_AND_SAMPLING":"실험 및 샘플링에 유용합니다.","KEEP_GROUPED_ROWS_TOGETHER":"그룹화된 행을 함께 유지","AVOID_BREAKING_THE_SAME_GROUP_ACROSS_FILES":"동일한 그룹이 여러 파일로 나뉘지 않도록 합니다.","GROUPING_COLUMN":"그룹화 열","CHOOSE_A_COLUMN":"열 선택","COLUMN_VALUE_SETTINGS":"열 값 설정","RARE_VALUE_HANDLING":"희소 값 처리","KEEP_EVERY_DISTINCT_VALUE":"모든 고유 값 유지","KEEP_TOP_N_VALUES_GROUP_THE_REST":"상위 N개 값을 유지하고 나머지는 그룹화","GROUP_BUCKETS_BELOW_A_ROW_THRESHOLD":"행 수 기준값 미만의 버킷 그룹화","TOP_N_VALUES_TO_KEEP":"유지할 상위 N개 값","MINIMUM_ROWS_PER_BUCKET":"버킷당 최소 행 수","OTHER_BUCKET_LABEL":"기타 버킷 레이블","ALSO_SPLIT_LARGE_GROUPS_BY_FILE_SIZE":"큰 그룹도 파일 크기 기준으로 분할","USEFUL_WHEN_ONE_SEGMENT_IS_MUCH_BIGGER":"한 세그먼트가 나머지보다 훨씬 클 때 유용합니다.","MAX_SIZE_PER_GROUPED_FILE_BYTES":"그룹화된 파일당 최대 크기(바이트)","RULE_SETTINGS":"규칙 설정","FIRST_MATCH_ONLY":"첫 번째 일치 항목만","TURN_THIS_OFF_TO_DUPLICATE_A_ROW":"하나의 행을 여러 출력에 복제하려면 이 옵션을 끄세요.","KEEP_UNMATCHED_ROWS_IN_A_SEPARATE_FILE":"일치하지 않는 행을 별도 파일에 유지","TURN_THIS_ON_IF_YOU_WANT_ROWS":"어떤 규칙과도 일치하지 않는 행을 별도로 내보내려면 이 옵션을 켜세요.","UNMATCHED_ROWS_FILE_NAME":"일치하지 않는 행의 파일 이름","THIS_NAME_IS_USED_FOR_THE_EXTRA":"어떤 규칙과도 일치하지 않는 행을 수집하는 추가 파일에 사용할 이름입니다.","DATE_SETTINGS":"날짜 설정","DATE_FORMAT":"날짜 형식","USE_A_FIXED_FORMAT_WHEN_THE_ANALYZER":"분석기가 형식을 잘못 추정한 경우 고정 형식을 사용하세요.","AUTO_DETECT":"자동 감지","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":"유효하지 않은 날짜","SEND_TO_A_SEPARATE_FILE":"별도 파일로 보내기","SKIP_INVALID_ROWS":"유효하지 않은 행 건너뛰기","INVALID_DATE_FILE_LABEL":"유효하지 않은 날짜 파일 레이블","COLUMN_TYPE_OVERRIDES":"열 유형 재정의","USE_THIS_WHEN_A_NUMBER_OR_DATE":"숫자 또는 날짜 열이 잘못 감지된 경우 사용하세요. 규칙 비교와 날짜 기반 분할에 영향을 줍니다.","DETECTED_AS":"감지된 유형","TEXT":"텍스트","NUMBER":"숫자","DATE":"날짜","COMMA_THOUSANDS_SEPARATOR":"쉼표 천 단위 구분 기호","DOT_THOUSANDS_SEPARATOR":"마침표 천 단위 구분 기호","SPACE_THOUSANDS_SEPARATOR":"공백 천 단위 구분 기호","APOSTROPHE_THOUSANDS_SEPARATOR":"아포스트로피 천 단위 구분 기호","NO_THOUSANDS_SEPARATOR":"천 단위 구분 기호 없음","ONLY":"만","ROWS_SHOWN_IN_PREVIEW":"개 행이 미리보기에 표시됨","PREVIEW_LOADS_ON_DEMAND_FOR_THIS_FILE":"이 파일의 미리보기는 요청 시 로드됩니다","LARGE_ROW_BASED_SPLITS_ONLY_PRELOAD_THE":"대규모 행 기반 분할에서는 빠른 미리보기를 위해 첫 번째 파일만 미리 로드합니다.","SUGGESTED_GROUPING_COLUMNS":"추천 그룹화 열","GROUPS":"개 그룹","LARGEST":"최대:","SMALLEST":"최소:","MEDIAN":"중앙값:","NO_STRONG_GROUPING_COLUMN_WAS_DETECTED_ROW":"적합한 그룹화 열이 감지되지 않았습니다. 이 파일에는 행 수 또는 크기 기반 분할이 더 안전한 기본 옵션입니다.","FILE_ANALYSIS":"파일 분석","DUPLICATE_HEADERS":"중복 헤더:","EMPTY_COLUMNS":"빈 열:","LARGE_TEXT_COLUMNS":"대용량 텍스트 열:","LEARN_MORE_ABOUT":"{title} 자세히 알아보기","SOMETHING_WENT_WRONG":"문제가 발생했습니다","TAB":"탭","DOWNLOAD_ZIP":"ZIP 다운로드","OUTPUT_FILES":"출력 파일","PROJECTED_COLUMNS":"선택된 출력 열","LARGEST_FILE":"가장 큰 파일","ZIP_SIZE":"ZIP 크기","ROWS_COUNT":"{count}개 행","OUTPUT_FILE_META":"{rows}개 행 · {size}","ROWS_SHOWN":"미리보기에 {count}개 행만 표시됨","GROUPS_COUNT":"{count}개 그룹","NONE":"없음"}},"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":"단순한 chunk 크기가 아니라 의미를 기준으로 CSV 파일 분할","HERO_DESC":"많은 CSV splitter 도구는 “1,000행마다 분할” 수준에서 멈춥니다. 하지만 실제 export 데이터는 훨씬 더 복잡합니다. 국가별로 파일 하나씩, 월별로 파일 하나씩, enterprise 계정용 파일 하나, 또는 아무 규칙에도 매칭되지 않은 행을 위한 fallback 파일이 필요할 때가 있습니다. 이 도구는 바로 그런 현실을 위해 만들어졌습니다.","INTRO_CARDS":[{"TITLE":"분할 전에 수행되는 스마트 분석","PARAGRAPHS":["이 도구는 인코딩, 구분자, 중복 헤더, 빈 컬럼, 대용량 텍스트 필드, 그리고 카디널리티가 낮은 그룹화용 컬럼을 자동으로 감지합니다. 덕분에 추측에 의존하지 않고, 실무에 맞는 분할 방식을 더 쉽게 선택할 수 있습니다.","또한 분할이 위험할 때 경고를 제공합니다. 예를 들어 출력 파일이 너무 많아지는 경우, 너무 작은 파일이 과도하게 생성되는 경우, 또는 하나의 거대한 bucket이 나머지를 압도하는 경우입니다."]},{"TITLE":"대규모 실제 CSV export를 위해 설계","PARAGRAPHS":["대용량 파일은 클라이언트 측에 그대로 유지됩니다. 다운로드 전에 결과를 미리보고, 필요한 컬럼만 남기고, 단일 파일 또는 여러 파일을 ZIP 아카이브로 export할 수 있습니다.","이 방식은 outreach 배치 처리, 국가별 handoff, CRM 정리, 컴플라이언스 검토, 월별 이력 데이터 분리에 특히 적합합니다."]}],"GUIDE_TITLE":"헷갈리기 쉬운 설정을 위한 가이드","GUIDE_DESC":"일부 분할 설정은 강력하지만, 처음 보면 바로 이해하기 어렵습니다. 도구 안의 도움말 아이콘을 클릭하면 아래의 해당 설명으로 바로 이동하므로, 분할을 미리보기 전에 각 설정이 실제로 무엇을 바꾸는지 이해할 수 있습니다.","GUIDES":[{"ID":"csv-splitter-help-rows","EXTRA_IDS":["csv-splitter-help-overlap","csv-splitter-help-grouped-rows","csv-splitter-help-size"],"ICON":"rows","TITLE":"행 수, overlap, 그리고 크기 기반 chunk","DESCRIPTION":"이 방식들은 가장 빠른 분할 모드이며, 단지 더 작은 파일이 필요한 경우 보통 가장 안전합니다.","PARAGRAPHS":["파일당 행 수는 각 출력 파일의 행 수를 대략 비슷하게 맞춥니다. downstream 도구가 카테고리나 의미보다 batch 크기를 더 중요하게 여길 때 가장 적합합니다.","Overlap rows는 파일 경계에서 몇 개의 행을 반복합니다. 다음 batch가 이전 batch의 약간의 문맥을 필요로 할 때만 사용하십시오.","그룹화된 행 함께 유지는 동일한 account, company 또는 order가 여러 파일로 나뉘지 않도록 합니다. 하나의 엔터티에 속한 행이 함께 유지되어야 할 때 중요합니다.","파일당 최대 크기는 업로드 제한이 있을 때 유용합니다. 바이트 기준 목표 이하로 맞추도록 시도하지만, 행 길이는 서로 다를 수 있으므로 마지막 파일이나 일부 파일은 행 수 기준 chunk보다 균등하지 않을 수 있습니다."]},{"ID":"csv-splitter-help-column-values","EXTRA_IDS":["csv-splitter-help-rare-values","csv-splitter-help-large-groups"],"ICON":"split","TITLE":"그룹화된 출력과 드문 값 처리","DESCRIPTION":"값 기반 분할은 국가, 담당자, 상태, source별로 CSV를 나누어 검토하거나 handoff하기 쉽게 만들고 싶을 때 가장 적합합니다.","PARAGRAPHS":["컬럼 기준 분할은 고유한 값 또는 값 조합마다 하나의 출력 파일을 생성합니다. 컬럼 하나를 사용하면 더 단순한 출력이 만들어지고, 두 개 이상을 사용하면 더 세분화된 파일이 생성됩니다.","드문 값 처리는 일회성 값 때문에 너무 많은 작은 파일이 생기는 상황에 유용합니다. 가장 큰 그룹만 유지하고 나머지는 “other” bucket으로 합칠 수 있습니다.","큰 그룹도 파일 크기 기준으로 추가 분할은 특정 카테고리 하나가 나머지보다 훨씬 클 때 유용합니다. 그룹화 로직은 유지하면서도, 하나의 거대한 파일이 전체 export를 지배하지 않도록 방지합니다."]},{"ID":"csv-splitter-help-rules","EXTRA_IDS":["csv-splitter-help-unmatched"],"ICON":"rules","TITLE":"규칙, first match, 그리고 미매칭 행","DESCRIPTION":"규칙 기반 분할은 파일의 목적지가 단순한 하나의 그룹화 컬럼이 아니라 비즈니스 로직에 따라 결정될 때 유용합니다.","PARAGRAPHS":["First match only는 한 행이 처음으로 매칭된 규칙에서 처리가 끝난다는 의미입니다. 동일한 행을 의도적으로 여러 출력 파일에 복사하려는 경우가 아니라면 비활성화하지 마십시오.","미매칭 행을 별도 파일에 유지는 어떤 규칙도 만족하지 않는 행도 전용 export 파일로 보존되도록 합니다.","미매칭 행 파일 이름은 그 catch-all 파일의 이름입니다. <code>needs-review.csv</code> 또는 <code>no-rule-match.csv</code>처럼 명확한 출력 이름을 원할 때 유용합니다."]},{"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":"날짜, export 설정, 그리고 더 깔끔한 출력 파일","DESCRIPTION":"이 설정들은 입력 데이터가 지저분하거나, export되는 파일 이름이 기존 workflow에 맞아야 할 때 중요합니다.","PARAGRAPHS":["날짜 형식은 해석이 모호한 날짜 컬럼을 위한 설정입니다. 감지기가 잘못 추정한 경우, 월·연도·주 단위 그룹화를 하기 전에 기대하는 형식을 강제로 지정하십시오.","잘못된 날짜는 유효하지 않은 값을 건너뛸지, 별도 파일로 이동할지를 결정할 수 있게 합니다. 이는 행이 조용히 사라지는 것보다 더 안전합니다.","파일명 패턴은 최종 출력 이름을 제어합니다. batch에 예측 가능한 번호가 필요할 때 <code>{index}</code>, <code>{label}</code> 같은 변수를 사용하십시오.","출력에 유지할 컬럼은 분할 전에 불필요한 컬럼을 제거합니다. 특히 원본 CSV에 downstream에서 필요하지 않은 보조 컬럼이 있을 때 export를 더 가볍고 깔끔하게 유지할 수 있습니다."]}],"EDGE_TITLE":"이 도구가 처리하는 edge case","EDGE_DESC":"실제 CSV export는 깔끔한 경우가 드뭅니다. 이 도구는 보통 더 단순한 splitter를 망가뜨리는 성가신 케이스를 처리할 수 있도록 설계되었습니다.","EDGE_CASES":[{"ICON":"shield","TITLE":"따옴표로 감싼 셀, 내장된 쉼표, 줄바꿈","DESCRIPTION":"따옴표로 감싼 셀 안에 쉼표나 줄바꿈이 있다고 해서 행이 분할되지는 않습니다.","BODY":"파서는 따옴표로 감싼 CSV 값을 온전히 유지하므로, 주소, 메모 또는 긴 텍스트 필드가 분할 과정에서 가짜 행으로 깨지지 않습니다."},{"ICON":"files","TITLE":"중복 헤더, 빈 컬럼, 그리고 projection된 출력","DESCRIPTION":"지저분한 헤더와 지나치게 큰 export는 CRM, 재무, 지원 데이터 export에서 흔하게 발생합니다.","BODY":"중복 헤더는 비교가 계속 가능하도록 정규화됩니다. 빈 컬럼을 식별할 수 있으며, projection을 통해 출력 생성 전에 컬럼을 제거할 수 있습니다."},{"ICON":"rows","TITLE":"대용량 파일과 lazy preview","DESCRIPTION":"미리보기는 판단을 돕기 위한 것이어야지, 큰 파일 처리를 막아서는 안 됩니다.","BODY":"대용량 행 기반 분할의 경우, 도구는 미리보기를 가볍게 유지하고 첫 번째 출력 파일만 사전 로드할 수 있습니다. 추가 미리보기와 다운로드는 필요할 때 생성됩니다."},{"ICON":"dates","TITLE":"잘못된 날짜, 미매칭 규칙, 불균형한 그룹","DESCRIPTION":"이 splitter는 edge case에 해당하는 행을 조용히 버리지 않고 계속 보이도록 유지합니다.","BODY":"유효하지 않은 날짜가 있는 행은 별도 파일로 보낼 수 있고, 어떤 규칙과도 매칭되지 않는 행은 자체 export로 유지할 수 있으며, 그룹 기반 분할에서는 특정 세그먼트가 나머지보다 훨씬 큰 경우 경고를 표시할 수 있습니다."}],"EXAMPLES":{"COUNTRY":{"TITLE":"국가 또는 상태 기준 분할","DESCRIPTION":"국가, 담당자, 상태, source 또는 카디널리티가 낮은 필드별로 CSV를 하나씩 만들고 싶다면 그룹화된 값 분할을 사용하십시오."},"RULES":{"TITLE":"규칙 기반 출력 파일 구성","DESCRIPTION":"조건부 규칙을 사용하면 enterprise 계정, Gmail 주소, 또는 아무것도 매칭되지 않는 fallback 행과 같은 실용적인 목적지를 정의할 수 있습니다."},"INPUT_LABEL":"입력","OUTPUT_LABEL":"출력"},"FAQ_ITEMS":[{"QUESTION":"컬럼 값 기준으로 CSV를 분할할 수 있습니까?","ANSWER":"예. 하나 또는 여러 컬럼을 선택하고, 그룹 수를 미리본 뒤, 필요하면 출력 파일 수에 상한을 두고, 드문 값은 “other” 파일로 묶을 수 있습니다."},{"QUESTION":"파일 크기 기준으로 CSV를 분할할 수 있습니까?","ANSWER":"예. 파일당 바이트 목표값을 설정할 수 있습니다. 다른 도구에 업로드 제한이 있을 때 유용합니다. 미리보기는 행 길이 편차가 너무 커서 신뢰할 수 있는 추정이 어려운 경우 경고를 표시합니다."},{"QUESTION":"월별 또는 연도별로 CSV를 분할할 수 있습니까?","ANSWER":"예. 날짜 컬럼을 선택하고, 월, 연도 또는 ISO 주를 지정한 뒤, 잘못된 날짜를 별도 파일로 보낼지 또는 건너뛸지를 결정할 수 있습니다."},{"QUESTION":"이 도구는 ZIP 아카이브를 생성합니까?","ANSWER":"예. 단일 출력 분할은 CSV로 다운로드되며, 여러 파일 분할은 ZIP으로 다운로드되므로 큰 세그먼트형 export도 관리하기 쉽습니다."}],"FAQ_TITLE":"자주 묻는 질문"},"ToolsDomainFinder":{"CONTENT":{"META_TITLE":"무료 회사명-도메인 찾기 | Datablist","META_SOCIAL_TITLE":"무료 회사명-도메인 찾기","META_DESCRIPTION":"회사명을 최대 10개까지 붙여넣고 해당 웹사이트를 즉시 찾아보세요. 무료이며 신용카드가 필요하지 않습니다.","HERO":{"TITLE":"회사명으로 도메인 찾기","DESCRIPTION":"회사명 목록을 붙여넣으면 몇 초 만에 해당 웹사이트를 확인할 수 있습니다. 무료이며 카드가 필요하지 않습니다."},"PROOF":{"TITLE":"추측이 아닌 실제 데이터를 기반으로 합니다","EYEBROW":"데이터베이스에 실제로 포함된 정보","BODY":"Datablist의 유료 데이터 보강 제품에 사용되는 것과 동일한 기업 데이터세트를 기반으로 하며, 잘못된 브랜드가 매칭되지 않도록 알려진 모회사 및 자회사 관계와 교차 검증합니다.","STATS":[{"value":"85%+","label":"매칭률"},{"value":"3","label":"조회 모드"},{"value":"32M","label":"기업"}]},"SOCIAL":{"TITLE":"스타트업과 대기업이 신뢰합니다","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"리드 생성 도구"}],"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":"이용 방법","STEPS":[{"step":1,"title":"목록을 붙여넣으세요","body":"CRM 내보내기 파일, 스프레드시트 열 또는 작성 중인 leads 목록에서 회사명을 복사해 무료 회사명-도메인 도구에 붙여넣으세요. 줄바꿈 또는 쉼표를 기준으로 항목을 분리하고 완전히 중복되는 항목은 자동으로 제거합니다."},{"step":2,"title":"데이터베이스를 확인한 후 Google에서 검색합니다","body":"각 회사명을 Datablist의 자체 기업 데이터베이스와 매칭합니다. 이는 유료 데이터 보강 제품에 사용되는 것과 동일한 데이터세트입니다. 신뢰할 만한 매칭 결과가 없으면 실시간 Google 검색으로 전환합니다. 단순히 첫 번째 검색 결과를 선택하지 않습니다. 요청한 기업과 얼마나 잘 일치하는지 각 후보를 평가하므로 디렉터리 목록이나 해당 기업에 관한 뉴스 기사가 웹사이트로 반환되지 않습니다."},{"step":3,"title":"모든 결과에 신뢰도 등급을 제공합니다","body":"모든 도메인 매칭의 확실성이 같지는 않으므로 회사명이 얼마나 정확히 일치했는지, 도메인을 어떤 방식으로 찾았는지에 따라 각 행에 높음, 보통 또는 낮음 등급을 표시합니다. 신뢰도가 높은 행은 바로 사용해도 좋으며, 보통 또는 낮음인 항목은 outreach 목록에 추가하기 전에 잠깐 확인하는 것이 좋습니다."}],"FLOW":["기업 데이터베이스","신뢰할 만한 매칭 없음","실시간 Google 검색","검증된 결과"],"CTA":{"TITLE":"카드 없이 500회 무료 조회","BODY":"무료 계정을 만들면 회사명 10개 제한이 해제되고 500크레딧이 제공됩니다.","LABEL":"무료 계정 만들기"}},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"콜드 outreach 개인화","body":"email을 작성하기 전에 웹사이트를 찾아 실제 정보를 바탕으로 첫 문장을 작성하세요.","ctaLabel":"콜드 email 개인화 가이드","ctaHref":"https://www.datablist.com/how-to/cold-email-personalization-tactics"},{"title":"리드 목록 보강","body":"잠재 고객 목록을 CRM이나 시퀀서에 추가하기 전에 누락된 도메인을 채우세요.","ctaLabel":"리드 목록 보강 가이드","ctaHref":"https://www.datablist.com/how-to/lead-list-building-guide"},{"title":"CRM 정리","body":"연결이 끊어진 기업 레코드를 실제 웹사이트에 다시 연결하세요.","ctaLabel":"CRM 정리 가이드","ctaHref":"https://www.datablist.com/how-to/clean-enrich-refresh-data-crm"},{"title":"틈새 기업 조사","body":"일반 검색 엔진이나 오래된 데이터베이스에서 찾지 못하는 소규모 또는 신생 기업의 웹사이트를 찾아보세요.","ctaLabel":"기업 조사 가이드","ctaHref":"https://www.datablist.com/how-to/chatgpt-search-on-spreadsheet"}]},"COMPARISON":{"TITLE":"Datablist와 다른 도메인 찾기 도구 비교","HEADERS":["도구","월 비용","도메인당 비용","적합한 용도"],"ROWS":[{"tool":"Datablist","cost":"$$25","perDomain":"$$0.005","bestFor":"합리적인 비용으로 대규모 리드 목록 구축 및 데이터 보강","favicon":"/free-tools/domain-finder/tool-favicons/datablist.png"},{"tool":"Company URL Finder","cost":"$$49","perDomain":"$$0.049","bestFor":"이미 Google Sheets를 사용 중인 팀","favicon":"/free-tools/domain-finder/tool-favicons/company-url-finder.png"},{"tool":"CUFinder","cost":"$$49","perDomain":"$$0.049","bestFor":"광범위한 API 통합","favicon":"/free-tools/domain-finder/tool-favicons/cufinder.png"},{"tool":"Clay","cost":"$$185","perDomain":"$$0.0745","bestFor":"복잡한 데이터 보강 workflow","favicon":"/free-tools/domain-finder/tool-favicons/clay.png"},{"tool":"Phantombuster","cost":"$$69","perDomain":"변동","bestFor":"기존 Phantombuster 사용자","favicon":"/free-tools/domain-finder/tool-favicons/phantombuster.png"},{"tool":"Marcom Robot","cost":"$$59","perDomain":"$$0.059","bestFor":"제한적인 활용 사례","favicon":"/free-tools/domain-finder/tool-favicons/marcom-robot.png"},{"tool":"BuiltWith","cost":"$$295","perDomain":"프리미엄","bestFor":"기술 기반 잠재 고객 발굴","favicon":"/free-tools/domain-finder/tool-favicons/builtwith.png"}],"NOTE":"가격은 2026년 9월 각 공급업체의 공식 가격 페이지에서 확인한 도구별 최저 월간 유료 요금제 기준입니다. 도메인당 비용은 해당 요금제에 포함된 조회 횟수를 기준으로 계산했습니다.","SOURCES":[{"n":1,"label":"Datablist 요금","href":"https://www.datablist.com/pricing"},{"n":2,"label":"Company URL Finder 요금제","href":"https://companyurlfinder.com/plans"},{"n":3,"label":"CUFinder 요금","href":"https://cufinder.io/pricing"},{"n":4,"label":"Clay 요금","href":"https://www.clay.com/pricing"},{"n":5,"label":"Phantombuster 요금","href":"https://phantombuster.com/pricing"},{"n":6,"label":"Marcom Robot 요금","href":"https://www.marcomrobot.com/data-enrichment/pricing"},{"n":7,"label":"BuiltWith 요금제","href":"https://builtwith.com/plans"}],"CTA":{"TITLE":"도메인별 과금을 그만하세요","BODY":"Datablist는 도메인당 $0.005입니다. 카드 없이 500크레딧으로 무료로 시작하세요.","LABEL":"무료 계정 만들기"}},"RELATED":{"TITLE":"관련 도구","EYEBROW":"대량으로 처리해야 하나요?","ENRICHMENT":{"label":"Domain Finder 데이터 보강","href":"https://www.datablist.com/enrichments/find-domain-for-company-name-bulk","blurb":"회사명을 한 번에 10개씩 처리하는 대신 전체 스프레드시트를 실행하세요. 동일한 데이터베이스 우선 확인 후 Google 검색 방식으로 매칭합니다."},"TOOLS":[{"label":"Sales Navigator Scraper","href":"https://www.datablist.com/tools/sales-navigator-scraper","blurb":"LinkedIn 계정에 접속하지 않고 검색 URL에서 leads를 확보하세요."},{"label":"무료 Email Finder","href":"https://www.datablist.com/tools/email-finder","blurb":"이름과 회사 정보로 업무용 emails를 찾으세요."},{"label":"회사명 정리 도구","href":"https://www.datablist.com/tools/company-name-cleaner","blurb":"AI 정리 도구로 법인명 접미사를 제거하고 대소문자 표기를 수정하세요."}]},"FAQ":{"TITLE":"자주 묻는 질문","ITEMS":[{"question":"무료로 몇 개의 도메인을 조회할 수 있나요?","answer":"실행당 회사명 10개를 조회할 수 있으며 계정이나 카드가 필요하지 않습니다. 도구의 대규모 스크립트 사용을 방지하는 공정 사용 한도 내에서 필요할 때마다 다시 실행할 수 있습니다."},{"question":"한 번에 10개보다 많이 처리해야 하면 어떻게 하나요?","answer":"무료 계정을 만들면 회사명 10개 제한이 해제되며, 더 큰 배치를 바로 테스트할 수 있도록 500무료 크레딧이 제공됩니다. 정기적인 대량 처리에는 Starter 요금제의 월 5,000크레딧을 사용할 수 있으며, 기업 데이터베이스 매칭은 도메인당 $0.005, Google 조회는 $0.0125입니다."},{"question":"Clearbit의 무료 Name to Domain API는 어떻게 되었나요?","answer":"2025년 4월 30일에 서비스가 종료되었습니다. 이 도구는 독립적으로 바로 대체해 사용할 수 있으며, Clearbit에는 없었던 행별 신뢰도 등급을 제공합니다."},{"question":"이 도구를 API로 사용할 수 있나요?","answer":"예. Datablist는 회사 웹사이트를 프로그래밍 방식으로 찾을 수 있는 회사명-도메인 API를 제공합니다. 설정 방법은 datablist.com/how-to/company-name-to-domain-api-enrichment의 API 구현 가이드를 참조하세요."}]},"BREADCRUMB_CURRENT":"Domain Finder","SCHEMA_NAME":"Datablist 무료 회사명-도메인 찾기","SCHEMA_DESCRIPTION":"무료 온라인 회사명-도메인 찾기입니다. 회사명 목록을 붙여넣으면 각 매칭 결과의 신뢰도 등급과 함께 해당 웹사이트를 확인할 수 있습니다."},"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":"회사명 목록","DESCRIPTION":"회사명을 최대 10개까지 붙여넣고 몇 초 만에 도메인을 찾아보세요.","PLACEHOLDERS":["Datablist","Celonis","회사명"],"ROW_LABEL":"회사명, {number}행","REMOVE_ROW":"{number}행 삭제","ADD_ROW":"행 추가","ROW_LIMIT":"무료 도구에서는 최대 10행까지 입력할 수 있습니다.","EMPTY":"시작하려면 회사명을 붙여넣거나 입력하세요","READY_ONE":"회사명 1개 준비됨","READY_MANY":"회사명 {count}개 준비됨","FIND_ONE":"도메인 찾기","FIND_MANY":"도메인 찾기","SAMPLE_BUTTON":"샘플 결과 보기","SAMPLE_NOTICE":"샘플 결과 · 이 10개의 예시는 설명을 위한 것입니다. 신뢰도 등급은 예시이며 실시간 점수가 아닙니다. 크레딧은 사용되지 않았습니다.","REJECTED_ONE":"1개 항목이 회사명으로 보이지 않아 건너뛰었습니다.","REJECTED_MANY":"{count}개 항목이 회사명으로 보이지 않아 건너뛰었습니다.","OVERFLOW":"{count}개의 회사명을 붙여넣었습니다. 처음 10개만 무료로 실행되었습니다. 무료 체험에서는 최대 500회 조회할 수 있습니다(각 1크레딧).","PROCESS_ALL":"{count}개 모두 처리","NUMBER":"#","COMPANY_NAME":"회사명","DOMAIN":"도메인","CONFIDENCE":"신뢰도","STATUS":"상태","NO_MATCH":"매칭 결과 없음","COPY_ROW":"{name}의 도메인 복사","START_OVER":"처음부터 다시 시작","COPY_ALL":"모두 복사","DOWNLOAD_CSV":"CSV 다운로드","DOWNLOAD_FILENAME":"domains.csv","HIGH":"높음","MEDIUM":"보통","LOW":"낮음","VERY_LOW":"매우 낮음","PRIVACY":"회사명과 결과는 이 브라우저에서 24시간 동안 확인할 수 있습니다. Datablist는 조회를 완료하고 지원하기 위해 작업 데이터를 더 오래 보관합니다.","UNAVAILABLE":"현재 이 조회 기능을 일시적으로 사용할 수 없습니다. Datablist 앱은 계속 사용할 수 있습니다.","QUOTA_REACHED":"이 무료 도구의 일일 할당량을 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하거나 Datablist에서 계속 진행하세요.","QUOTA_RUN_TOO_LARGE":"이번 조회는 이 무료 도구의 남은 일일 할당량을 초과합니다. 회사명 수를 줄이거나 {hours}시간 {minutes}분 후 다시 이용하세요.","QUOTA_REMAINING":"오늘 크레딧 {limit}개 중 {remaining}개 남음","QUOTA_REDUCE":"오늘 크레딧이 {remaining}개 남았습니다. 회사명 수를 줄여보세요.","QUOTA_WAIT":"일일 할당량을 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하세요.","CHALLENGE_REQUIRED":"조회를 실행하기 전에 인증을 완료하세요.","RUN_FAILED":"조회를 완료하지 못했습니다. 나중에 다시 시도해 주세요.","SUBMISSION_UNKNOWN":"조회가 시작되었는지 확인하고 있습니다. 상태를 확인하려면 이 페이지를 새로고침하세요. 다시 제출하지 마세요.","RETRY_STATUS":"현재 조회 상태를 확인할 수 없습니다. 페이지를 새로고침해 다시 시도하세요.","EXPIRED":"이 결과는 이 브라우저에서 더 이상 확인할 수 없습니다.","BANNER":"무료 계정에 가입하고 카드 없이 회사명-도메인 조회 500회를 무료로 이용하세요.","BANNER_CTA":"500무료 크레딧 받기","RESULT_CTA":"무료 체험에 가입하고 회사명-도메인 조회 500회를 무료로 이용하세요!","RESULT_CTA_BUTTON":"무료 체험 시작","CSV_NAME":"이름","LOADING":"불러오는 중","ERROR":"오류","COMPLETE":"완료","HISTORY_TITLE":"최근 조회 내역","HISTORY_DESCRIPTION":"결과를 확인할 수 있는 최대 24시간 동안 이 브라우저에서 조회 내역을 열거나 삭제할 수 있습니다. 여기에서 삭제해도 조회가 중단되거나 크레딧이 복원되지는 않습니다.","HISTORY_REMOVE":"이 브라우저에서 {name} 삭제","HISTORY_COMPLETE":"완료","HISTORY_FAILED":"확인 필요","HISTORY_ATTENTION":"상태 확인 중","HISTORY_RUNNING":"진행 중","COPY_ERROR":"복사하지 못했습니다. 다시 시도하거나 CSV를 다운로드하세요.","DEBUG_NOTICE":"베타 작업의 디버그 결과입니다. 제출된 인물을 조회한 결과가 아닌 테스트 데이터입니다.","MORE_OPTIONS":"추가 옵션","COUNTRY_LABEL":"대상 국가","COUNTRY_HELP":"기업 데이터세트와 Google 검색 대체 범위를 특정 국가로 좁힙니다.","ALL_COUNTRIES":"모든 국가","RUN_OPTIONS":"실행 옵션","OPTION_ON":"켜짐","OPTION_OFF":"꺼짐"}},"ToolsSalesNavigatorScraper":{"CONTENT":{"META_TITLE":"무료 Sales Navigator 스크레이퍼 | Datablist","META_SOCIAL_TITLE":"무료 Sales Navigator 스크레이퍼","META_DESCRIPTION":"Sales Navigator 검색 URL을 붙여넣고 leads를 무료로 미리 확인하세요. LinkedIn 로그인, 쿠키 또는 세션 ID가 필요하지 않아 계정이 위험에 노출되지 않습니다.","SCHEMA_NAME":"Datablist 무료 Sales Navigator 스크레이퍼","SCHEMA_DESCRIPTION":"무료 온라인 Sales Navigator 스크레이퍼입니다. LinkedIn 계정을 연결하거나 쿠키 및 세션 ID를 제공할 필요 없이 검색 URL을 붙여넣고 leads를 미리 확인하세요.","BREADCRUMB_CURRENT":"Sales Navigator 스크레이퍼","HERO":{"TITLE":"시장에서 가장 안전한 Sales Navigator 스크레이퍼를 무료로 테스트해 보세요!","DESCRIPTION":"검색 URL을 붙여넣고 leads를 즉시 미리 확인하세요."},"SAFETY":{"TITLE":"계정이 위험에 노출되지 않는 이유","ITEMS":[{"safe":true,"label":"Datablist","body":"필요한 것은 검색 URL 하나뿐입니다. 로그인 정보, 쿠키, 세션 ID, 확장 프로그램이 필요하지 않습니다."},{"safe":false,"label":"Chrome 확장 프로그램","body":"Evaboot, Skrapp 및 유사한 도구는 로그인된 세션에서 클릭을 자동화합니다. LinkedIn 이용약관은 이를 금지하며, 그에 따른 위험은 사용자 계정이 부담하게 됩니다."},{"safe":false,"label":"쿠키 기반 클라우드 도구","body":"Phantombuster와 대부분의 Apify actor는 li_at 세션 쿠키를 붙여넣도록 요구합니다. 이는 로그인된 세션 자체를 제3자에게 넘기는 것과 같습니다."}]},"SOCIAL":{"TITLE":"스타트업과 대기업이 신뢰하는 서비스","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"lead generation 도구"}],"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":"작동 방식","STEPS":[{"step":1,"title":"Sales Navigator에서 검색을 실행하세요","body":"결과 목록이 실제로 원하는 타깃 고객이 될 때까지 직책, 직급, 위치, 직원 수, 업종 또는 기타 Sales Navigator 필터로 범위를 좁히세요. 그런 다음 주소 표시줄에서 URL을 바로 복사하세요."},{"step":2,"title":"여기에 URL을 붙여넣으세요","body":"저희에게 필요한 것은 해당 URL뿐입니다. 로그인, 비밀번호, 브라우저 확장 프로그램은 물론 개발자 도구에서 복사한 세션 쿠키도 필요하지 않습니다. Sales Navigator가 추가하는 계정 범위 매개변수는 URL이 어디로든 전송되기 전에 제거합니다. 해당 정보는 필요하지도, 사용하지도 않기 때문입니다."},{"step":3,"title":"Datablist 자체 인프라에서 스크레이핑합니다","body":"데이터 추출은 사용자의 LinkedIn 세션이 아닌 Datablist 서버에서 실행되므로, 사용자 계정으로 추적되거나 LinkedIn 활동 한도에 반영되지 않습니다. 결과는 정리된 표로 제공되며, 바로 email 정보를 보강하거나 CRM으로 전송할 수 있습니다."}],"CTA":{"TITLE":"10개의 leads만이 아니라 전체 검색 결과를 스크레이핑하세요","BODY":"무료 계정에는 처음부터 500크레딧이 제공되며 LinkedIn 계정에는 절대 연결되지 않습니다.","LABEL":"무료 계정 만들기"}},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"처음부터 lead 목록 구축하기","body":"검색 결과를 일일이 넘겨보는 대신, 세밀하게 필터링한 Sales Navigator 검색 결과를 실제로 활용할 수 있는 깔끔하고 중복 없는 목록으로 전환하세요.","ctaLabel":"Lead 목록 구축 가이드","ctaHref":"/how-to/lead-list-building-guide"},{"title":"스크레이핑한 leads의 emails 찾기","body":"이름과 직책만으로는 연락할 수 없습니다. 연락처를 포기하기 전에 20개 이상의 제공업체를 확인하는 워터폴 email finder로 스크레이핑한 목록을 처리하세요.","ctaLabel":"대규모 Emails 찾기","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"전체 검색 결과를 한 번에 내보내기","body":"Sales Navigator 검색 결과를 일일이 넘겨보면 확보할 수 있는 leads가 수십 개로 제한됩니다. 전체 검색 결과를 한 번에 내보내야 활용 가치가 있는 목록을 구축할 수 있습니다.","ctaLabel":"Sales Navigator Leads 내보내기","ctaHref":"/how-to/export-sales-navigator-leads"},{"title":"계정 정지 위험 없이 스크레이핑하기","body":"인적 네트워크를 잃을까 봐 스크레이핑을 미뤄 왔다면, 이 workflow를 통해 계정 위험을 완전히 제거할 수 있습니다.","ctaLabel":"안전한 스크레이핑 가이드","ctaHref":"/how-to/scraping-sales-navigator"}]},"COMPARISON":{"TITLE":"Sales Navigator 스크레이퍼 비교","INTRO":"아래의 다른 모든 도구는 사용자가 제공한 확장 프로그램이나 세션 쿠키를 이용해 사용자 본인의 LinkedIn 세션에서 스크레이핑을 실행합니다. 계정에 전혀 연결되지 않는 도구는 Datablist뿐입니다.","HEADERS":["도구","사용자의 LinkedIn 계정","사용자에게 필요한 항목","최저 요금","Lead당 비용","Email finder"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/datablist.png","best":true,"values":["절대 연결하지 않음","검색 URL","$$25/월","$$0.05","지원, 20개 이상의 제공업체"]},{"tool":"Skrapp","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/skrapp.png","best":false,"values":["위험에 노출됨","계정에 설치하는 확장 프로그램","$$39/월","$$0.039","지원"]},{"tool":"Evaboot","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/evaboot.png","best":false,"values":["위험에 노출됨","계정에 설치하는 확장 프로그램","$$9/월","$$0.09","지원"]},{"tool":"Phantombuster","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/phantombuster.png","best":false,"values":["위험에 노출됨","사용자의 세션 쿠키","$$69/월","상이함","지원"]},{"tool":"Apify","favicon":"/free-tools/sales-navigator-scraper/tool-favicons/apify.svg","best":false,"values":["위험에 노출됨","사용자의 세션 쿠키","$$19/월","상이함","미지원"]}],"NOTE":"가격은 2026년 9월 각 업체의 공식 요금 페이지에서 확인한 월간 결제 기준 최저 유료 플랜입니다. Lead당 비용은 해당 플랜에 포함된 leads 수를 기준으로 산정했습니다.","SOURCES":[{"n":1,"label":"Datablist 요금","href":"/pricing"},{"n":2,"label":"Skrapp 요금","href":"https://skrapp.io/pricing"},{"n":3,"label":"Evaboot 요금","href":"https://evaboot.com/pricing"},{"n":4,"label":"Phantombuster 요금","href":"https://phantombuster.com/pricing"},{"n":5,"label":"Apify 요금","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"사용자 계정에 접근하지 않는 유일한 도구","BODY":"500크레딧으로 무료로 시작하세요. 확장 프로그램, 세션 쿠키, 카드가 필요하지 않습니다.","LABEL":"무료 계정 만들기"}},"RELATED":{"TITLE":"관련 도구","EYEBROW":"대량으로 처리해야 하나요?","ENRICHMENT":{"label":"Sales Navigator 스크레이퍼","href":"/sources/linkedin-search-scraper","blurb":"LinkedIn 계정을 연결하지 않고도 10개의 leads 미리보기가 아닌 전체 검색 결과를 스크레이핑하세요."},"TOOLS":[{"label":"무료 Domain Finder","href":"/tools/domain-finder","blurb":"회사명을 웹사이트로 변환하고 신뢰도 등급을 제공합니다."},{"label":"무료 Email Finder","href":"/tools/email-finder","blurb":"이름과 회사 정보를 바탕으로 업무용 emails를 찾습니다."},{"label":"회사명 정리 도구","href":"/tools/company-name-cleaner","blurb":"AI 정리 도구로 법인 표기를 제거하고 대소문자를 수정합니다."}]},"FAQ":{"TITLE":"자주 묻는 질문","ITEMS":[{"question":"Sales Navigator 구독이 필요한가요?","answer":"예. 이 도구가 읽는 검색 URL은 Sales Navigator의 고급 필터를 통해 생성되므로, URL을 만들려면 활성 구독이 필요합니다. 단, 저희에게 구독 계정 접근 권한을 제공할 필요는 없습니다."},{"question":"다른 스크레이퍼와 달리 이 도구가 안전한 이유는 무엇인가요?","answer":"위 비교표의 다른 모든 도구는 사용자가 붙여넣은 브라우저 확장 프로그램이나 세션 쿠키를 통해 로그인된 본인의 LinkedIn 세션에서 스크레이핑을 실행합니다. LinkedIn 이용약관은 이를 금지하며, 제재는 사용자 계정에 적용됩니다. Datablist는 검색 URL만 읽고 자체 인프라에서 데이터를 추출하므로 사용자에게로 추적될 정보가 없습니다."},{"question":"전체 스크레이핑 비용은 얼마인가요?","answer":"LinkedIn 계정에 아무것도 연결하지 않는 경우 lead당 20크레딧이며, 본인의 계정을 연결하면 10크레딧입니다. Datablist는 월간 결제 기준 월 $25부터 시작하며 매월 5,000크레딧이 포함됩니다."},{"question":"Datablist의 Sales Navigator 스크레이퍼에 제한 사항이 있나요?","answer":"예. \"회사 페이지를 팔로우하는 사람\", 저장된 목록 또는 CRM에서 동기화된 항목처럼 계정에 연결된 필터가 포함된 검색은 스크레이핑할 수 없습니다. 이러한 데이터는 개인 로그인 뒤에 있으며 Datablist는 해당 계정에 연결하지 않기 때문입니다."}]}},"TOOL":{"LABEL":"Sales Navigator 검색 URL","PLACEHOLDER":"https://www.linkedin.com/sales/search/people?query=...","HINT":"LinkedIn 로그인, 쿠키 또는 세션 ID가 필요하지 않습니다. 사용자 계정에는 절대 연결하지 않습니다.","SUBMIT":"Leads 스크레이핑","BUSY":"스크레이핑 중","RESULTS":"검색 결과의 첫 {count}개 leads를 무료로 확인하세요.","NAME":"이름","JOB_TITLE":"직책","COMPANY":"회사","LOCATION":"위치","COPY":"복사","COPIED":"복사됨","DOWNLOAD":"CSV 다운로드","NOTE":"무료 미리보기에서는 연락처 정보 없이 {count}개의 leads를 보여드립니다. 전체 스크레이핑을 실행하면 Datablist의 데이터 보강을 통해 emails와 프로필 URL이 제공됩니다.","ERROR_EMPTY":"시작하려면 Sales Navigator 검색 URL을 붙여넣으세요.","ERROR_URL":"올바른 URL 형식이 아닌 것 같습니다.","ERROR_HOST":"해당 링크는 LinkedIn이 아니라 {host}(으)로 연결됩니다.","ERROR_PROFILE":"검색 결과가 아니라 단일 LinkedIn 프로필입니다.","ERROR_RECORD":"검색 결과가 아니라 하나의 Sales Navigator 레코드입니다.","ERROR_SEARCH":"LinkedIn 링크이지만 Sales Navigator 검색 링크는 아닙니다.","ERROR_FAILURE":"스크레이핑을 완료하지 못했습니다. 잠시 후 다시 시도해 주세요.","DOWNLOAD_FILENAME":"sales-navigator-leads.csv","SCRAPE_FULL":"전체 목록 스크레이핑","ERROR_HINTS":{"url":"Sales Navigator에서 검색을 열고 주소 표시줄의 URL을 복사하세요.","host":"Sales Navigator URL은 linkedin.com/sales/search/로 시작합니다.","profile":"먼저 Sales Navigator에서 검색한 후 해당 URL을 복사하세요.","record":"검색 결과로 돌아가 그곳의 URL을 복사하세요.","search":"linkedin.com/sales/search/people 또는 /sales/search/company 형식의 링크를 찾으세요."}}},"ToolsEmailFinder":{"CONTENT":{"META_TITLE":"무료 Email Finder | Datablist","META_SOCIAL_TITLE":"무료 Email Finder","META_DESCRIPTION":"Find a work email from a name and company or a LinkedIn profile. One found email free per day. Copy or download your result, with no signup required.","SCHEMA_NAME":"Datablist 무료 Email Finder","SCHEMA_DESCRIPTION":"Free online waterfall email finder. Enter a name and company or a LinkedIn person profile to search for a work email address.","BREADCRUMB_CURRENT":"Email Finder","HERO":{"TITLE":"무료 Email Finder","DESCRIPTION":"Find one work email free each day. Give a name and company, or a LinkedIn profile.\nNo signup required."},"WATERFALL":{"TITLE":"단일 조회보다 waterfall 방식이 더 효과적인 이유","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":"스타트업과 엔터프라이즈가 신뢰하는 서비스","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"lead generation 도구"}],"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":"이용 방법","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":"무료 계정에는 500크레딧이 제공되며 전체 리스트를 한 번에 처리할 수 있습니다.","LABEL":"무료 계정 만들기"}},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"실제로 연락할 수 있는 lead 리스트 구축","body":"이름과 회사 정보만으로는 연락할 수 없습니다. 스크래핑하거나 내보낸 리스트를 실제로 email을 보낼 수 있는 리스트로 바꾸는 과정이 그 데이터에 가치를 더합니다.","ctaLabel":"대규모 Email 찾기","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"기존 리스트의 누락 정보 보완","body":"내보낸 데이터는 대부분 일부 정보가 누락된 상태입니다. 주소가 없는 행만 처리하고, 결과가 없는 항목에는 비용을 지불하지 마세요.","ctaLabel":"Email이 포함된 Lead 리스트 만들기","ctaHref":"/how-to/create-lead-list-with-emails"},{"title":"보유 중인 provider 키 사용","body":"이미 Hunter, Dropcontact 또는 유사 서비스에 비용을 지불하고 계신가요? 보유 중인 키로 waterfall을 실행하고 Datablist 크레딧 시스템을 전혀 사용하지 않을 수 있습니다.","ctaLabel":"맞춤형 Waterfall Email Finder","ctaHref":"/how-to/custom-waterfall-email-finder"},{"title":"발송 전 개인화","body":"검증된 주소는 시작일 뿐입니다. email의 성과를 좌우하는 것은 첫 문장이 특정 개인을 위해 작성된 것처럼 느껴지는지 여부입니다.","ctaLabel":"콜드 Email 개인화","ctaHref":"/how-to/cold-email-personalization-tactics"}]},"COMPARISON":{"TITLE":"실제로 찾은 email 1,000건의 비용","INTRO":"크레딧당 가격만 보면 실제로 중요한 비용, 즉 발송 가능한 주소 1,000건을 확보하는 데 드는 비용을 알기 어렵습니다. Hunter는 하나의 인덱스만 조회하므로 email당 비용이 더 저렴합니다. Waterfall 방식은 조회당 비용이 더 높지만 단일 출처에서 찾지 못하는 사람까지 찾아냅니다. Waterfall 서비스 중에서는 Datablist가 가장 저렴합니다.","HEADERS":["도구","Email 1,000건당 비용","검색 방식","검색 실패"],"BEST_LABEL":"모든 waterfall 중 최저가","BEST_LABEL_MOBILE":"{cost} · 모든 waterfall 중 최저가","ROWS":[{"tool":"Hunter.io","cpme":"$$24.50","approach":"단일 출처 인덱스","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/hunter.png","best":false},{"tool":"Datablist","cpme":"$$45","approach":"20개 이상의 provider waterfall","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/datablist.png","best":true},{"tool":"BetterContact","cpme":"$$49","approach":"20개 이상의 provider waterfall","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/bettercontact.png","best":false},{"tool":"FullEnrich","cpme":"$$55","approach":"20개 이상의 provider waterfall","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/fullenrich.svg","best":false},{"tool":"Apollo","cpme":"$$59","approach":"독점 데이터베이스","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/apollo.png","best":false},{"tool":"Clay","cpme":"$$74","approach":"150개 이상의 연동","misses":"비용 없음","favicon":"/free-tools/email-finder/tool-favicons/clay.png","best":false},{"tool":"Cognism","cpme":"견적 문의","approach":"독점 데이터베이스","misses":"공개되지 않음","favicon":"/free-tools/email-finder/tool-favicons/cognism.png","best":false},{"tool":"ZoomInfo","cpme":"견적 문의","approach":"독점 데이터베이스","misses":"공개되지 않음","favicon":"/free-tools/email-finder/tool-favicons/zoominfo.png","best":false}],"NOTE":"찾은 email 1,000건당 비용입니다. Datablist가 공개한 비교 자료와 각 vendor의 가격 페이지를 바탕으로 하며, 2026년 9월에 확인했습니다. 나열된 모든 도구는 찾은 주소에 대해서만 요금을 부과하므로 직접 비교할 수 있습니다. 견적 기반 vendor는 요금을 공개하지 않습니다.","SOURCES":[{"n":1,"label":"Datablist의 CPME 분석","href":"/how-to/best-email-finder-tools"},{"n":2,"label":"Datablist 가격","href":"/pricing"},{"n":3,"label":"Hunter.io 가격","href":"https://hunter.io/pricing"},{"n":4,"label":"BetterContact 가격","href":"https://bettercontact.rocks/pricing"},{"n":5,"label":"FullEnrich 가격","href":"https://fullenrich.com/pricing"},{"n":6,"label":"Apollo 가격","href":"https://www.apollo.io/pricing"},{"n":7,"label":"Clay 가격","href":"https://www.clay.com/pricing"}],"CTA":{"TITLE":"실제로 확보한 email에 대해서만 결제하세요","BODY":"500크레딧으로 무료로 시작하세요. 결과가 없는 조회에는 비용이 들지 않습니다.","LABEL":"무료 계정 만들기"}},"RELATED":{"TITLE":"관련 도구","EYEBROW":"대량으로 처리해야 하나요?","ENRICHMENT":{"label":"Waterfall Email Finder","href":"/enrichments/email-finder","blurb":"Run a full list through the work-email waterfall, paying only for the addresses it finds."},"TOOLS":[{"label":"무료 Domain Finder","href":"/tools/domain-finder","blurb":"회사명을 웹사이트로 변환하고 신뢰도 등급을 제공합니다."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"LinkedIn 계정에 접근하지 않고 검색 URL에서 leads를 확보합니다."},{"label":"회사명 정리 도구","href":"/tools/company-name-cleaner","blurb":"AI 정리 도구로 법인명 접미사를 제거하고 대소문자를 수정합니다."}]},"FAQ":{"TITLE":"자주 묻는 질문","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":"어떤 방식으로 검색하시겠습니까?","MODE_NAME":"이름 + 회사","MODE_LINKEDIN":"LinkedIn URL","FIRST_NAME":"이름","LAST_NAME":"성","COMPANY":"회사 또는 도메인","LINKEDIN":"LinkedIn 프로필 URL","LINKEDIN_PLACEHOLDER":"https://www.linkedin.com/in/anna-weber","HINT_NAME":"회사명보다 도메인을 사용하면 더 정확합니다.","HINT_LINKEDIN":"회사 페이지가 아닌 개인 프로필을 입력하세요.","COPY":"복사","COPIED":"복사됨","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":"무료 계정을 만들고 500크레딧을 받아 email 20건을 찾아보세요. 카드 등록은 필요하지 않습니다.","BANNER_CTA":"무료 500크레딧 받기","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":"무료 회사명 정리 도구 | Datablist","META_SOCIAL_TITLE":"무료 회사명 정리 도구","META_DESCRIPTION":"AI로 실행당 최대 10개의 회사명을 정리하세요. 대소문자 표기와 법인 형태를 표준화한 후 결과를 복사하거나 내보낼 수 있습니다. 가입할 필요가 없으며 일일 사용 한도가 적용됩니다.","SCHEMA_NAME":"Datablist 무료 회사명 정리 도구","SCHEMA_DESCRIPTION":"AI로 실행당 최대 10개의 회사명을 정리하세요. 대소문자 표기와 법인 형태를 표준화한 후 결과를 복사하거나 내보낼 수 있습니다. 가입할 필요가 없으며 일일 사용 한도가 적용됩니다.","BREADCRUMB_CURRENT":"회사명 정리 도구","HERO":{"TITLE":"정리되지 않은 회사명을 무료로 표준화하세요","DESCRIPTION":"목록을 붙여넣고 대소문자 표기를 정리한 후 법인 접미사 유지 여부를 선택하세요. 실행당 10개까지 가능하며 가입은 필요하지 않습니다."},"FORMULA":{"TITLE":"스프레드시트 수식만 사용하면 안 되나요?","QUOTE":"“결국 인식하지 못하는 접미사가 하나라도 나오면 작동하지 않는 거대한 중첩 SUBSTITUTE 수식을 만들게 됩니다.” 직접 만든 수식의 함정이 바로 이것입니다. 예상한 패턴만 처리할 수 있고 새로운 형식이 추가될 때마다 이미 읽기 어려운 수식을 다시 수정해야 합니다. 반면 AI 정리 도구는 문맥을 바탕으로 이름을 읽기 때문에, 누구도 규칙으로 작성하지 않은 접미사나 대소문자 표기 방식, 업계 약어도 처리할 수 있습니다.","HEADERS":["정리 전","정리 후","확인할 수 있는 내용"],"SHOWCASE":[{"raw":"ACME CORPORATION","note":"모두 대문자인 표기를 수정하고 접미사를 제거"},{"raw":"müller & söhne gmbh & co. kg","note":"소문자 표기를 수정하고 단독 \"GmbH\" 대신 복합 접미사를 우선 적용"},{"raw":"\"Tech Company, INC.\"","note":"양쪽 따옴표와 접미사를 제거"},{"raw":"SAP","note":"허용 목록에 있는 약어이므로 원문 그대로 유지"},{"raw":"1234567 Ontario Inc.","note":"번호로 구성된 회사 형식이므로 사용 전에 정리된 이름을 검토하세요"}],"NOTE":"설명을 위한 예시입니다. AI 정리 도구는 정리된 회사명만 반환하며 신뢰도 점수나 설명은 제공하지 않습니다. 중요한 회사명은 사용 전에 검토하세요.","REVIEW":"검토"},"FIXES":{"TITLE":"정리할 수 있는 항목","ITEMS":[{"icon":"Scissors","title":"법인 접미사 제거","body":"AI 정리 도구는 식별 가능한 회사명은 유지하면서 Inc., LLC, Ltd., GmbH, SAS 등의 법인 형태를 제거할 수 있습니다."},{"icon":"CaseSensitive","title":"대소문자 표기 수정","body":"정리 도구는 일관되지 않은 대소문자 표기를 표준화하며, 식별 가능한 고유 명칭과 약어는 유지할 수 있습니다."},{"icon":"Eraser","title":"공백, 따옴표 및 문장부호","body":"중복 공백을 하나로 줄이고, 스프레드시트에서 붙여넣을 때 남은 양쪽 따옴표를 제거하며, 접미사 제거 후 끝에 남는 쉼표나 마침표를 정리합니다."},{"icon":"CopyCheck","title":"정리 전후 비교","body":"결과를 복사하거나 CSV를 다운로드하기 전에 원본 이름과 정리된 이름을 비교하세요."}]},"SOCIAL":{"TITLE":"스타트업과 엔터프라이즈가 신뢰하는 서비스","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"lead generation 도구"}],"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":"이용 방법","STEPS":[{"step":1,"title":"목록을 붙여넣으세요","body":"한 줄에 회사명 하나씩, 실행당 최대 10개까지 입력할 수 있습니다. CRM에서 내보낸 데이터, 스크래핑한 leads 목록 또는 스프레드시트 열을 그대로 사용할 수 있으며, 정리되지 않은 대소문자 표기와 법인 접미사가 포함되어 있어도 됩니다. 이 한도는 도구의 처리 능력 때문이 아니라 각 회사명을 처리할 때마다 크레딧이 사용되기 때문에 설정되어 있습니다."},{"step":2,"title":"정리 도구가 각 회사명을 표준화합니다","body":"AI 정리 도구가 정리된 이름을 반환하므로 원본과 비교할 수 있습니다. 신뢰도 점수나 설명은 제공하지 않습니다."},{"step":3,"title":"결과를 복사하거나 다운로드하세요","body":"표준화된 이름을 클립보드에 바로 복사하거나, 각 행의 원본 이름, 정리된 이름, 결과 상태가 포함된 전체 비교 내역을 CSV로 다운로드하세요."}],"CTA":{"TITLE":"한 번에 10개가 넘는 회사명을 정리하세요","BODY":"무료 계정을 만들면 1,000개의 회사명을 처리하기에 충분한 500크레딧이 제공됩니다.","LABEL":"무료 계정 만들기"}},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"CRM에 입력하기 전 회사명 표준화","body":"\"Acme Inc\"와 \"ACME Corporation\"처럼 중복된 레코드가 동일한 파이프라인에 쌓이기 전에 일관되지 않은 대소문자 표기와 법인 접미사를 정리하세요.","ctaLabel":"회사명 표준화 방법","ctaHref":"/how-to/normalize-company-names"},{"title":"기존 목록의 중복 제거","body":"대부분의 도구는 대소문자 표기나 접미사만 다른 두 행을 서로 다른 회사로 인식합니다. 먼저 표준화하면 중복 항목을 쉽게 확인할 수 있습니다.","ctaLabel":"회사명 중복 제거 방법","ctaHref":"/how-to/dedupe-company-names"},{"title":"오래된 CRM 내보내기 데이터 새로 정리","body":"오래된 시스템에서 내보낸 데이터에는 일관되지 않은 이름이 누적되어 있기 마련입니다. 정리되지 않은 상태를 그대로 이어가기보다 다시 가져오는 과정에서 표준화하세요.","ctaLabel":"CRM 데이터 정리, 보강 및 업데이트","ctaHref":"/how-to/clean-enrich-refresh-data-crm"},{"title":"email 발송 전 목록 표준화","body":"회사명 필드는 개인화 토큰에 사용됩니다. 불필요한 따옴표가 있거나 모두 대문자로 표기된 이름은 수신자가 실제로 알아차리는 세부 요소입니다.","ctaLabel":"Email 목록 정리 가이드","ctaHref":"/how-to/email-list-cleaning"}]},"BOTTOM_CTA":"목록을 무료로 표준화하세요","RELATED":{"TITLE":"관련 도구","EYEBROW":"대량 처리가 필요하신가요?","ENRICHMENT":{"label":"회사명 정리 enrichment","href":"/enrichments/company-name-cleaner","blurb":"10개 제한 없이 동일한 정리 도구를 Datablist 내 데이터세트에서 직접 실행하세요. 회사명당 0.5크레딧이 사용되며 반복되는 행은 캐시되므로 중복 과금되지 않습니다."},"TOOLS":[{"label":"무료 도메인 찾기","href":"/tools/domain-finder","blurb":"회사명을 웹사이트로 변환하고 신뢰도 등급을 제공합니다."},{"label":"Sales Navigator Scraper","href":"/tools/sales-navigator-scraper","blurb":"LinkedIn 계정을 건드리지 않고 검색 URL에서 leads를 확보하세요."},{"label":"무료 Email Finder","href":"/tools/email-finder","blurb":"이름과 회사 정보를 바탕으로 업무용 email을 찾습니다."}]},"FAQ":{"TITLE":"자주 묻는 질문","ITEMS":[{"question":"이 무료 도구는 AI 기반인가요?","answer":"예. 고정된 접미사 목록과 대조하는 대신 문맥과 업계 용어를 이해하는 유료 enrichment와 동일한 Datablist AI 회사명 정리 도구를 사용합니다. 각 회사명을 처리하는 데 0.5크레딧이 사용되므로 실행당 최대 10개로 제한됩니다."},{"question":"무료로 몇 개의 회사명을 표준화할 수 있나요?","answer":"브라우저 세션 및 IP당 일일 5크레딧 한도 내에서 실행당 최대 10개까지 가능합니다. 제출된 각 회사명에 0.5크레딧이 예약되며, 사용되지 않은 예약분은 실행 완료 시 반환됩니다. 한도는 매일 자정(UTC)에 초기화됩니다."},{"question":"정리 도구가 신뢰도 점수를 반환하나요?","answer":"아니요. 정리된 회사명을 반환합니다. 표에는 반환된 이름이 입력값과 다른지 여부가 표시됩니다. 중요하거나 모호한 이름은 사용 전에 검토하세요."},{"question":"붙여넣은 회사명은 어디로 전송되나요?","answer":"정리 도구는 브라우저에서 실행되는 스크립트가 아니라 Datablist 인프라에서 작동하는 AI 모델이므로, 회사명은 표준화를 위해 Datablist로 전송됩니다. 버튼을 누르기 전에는 아무 작업도 실행되지 않으므로, 클립보드에서 어떤 내용이 인식되었는지 전송 전에 정확히 확인할 수 있습니다."},{"question":"이 도구와 유료 enrichment의 차이점은 무엇인가요?","answer":"정리 도구는 같지만 처리 규모가 다릅니다. 이 페이지에서는 계정 없이 한 번에 10개의 회사명을 처리할 수 있습니다. enrichment는 Datablist 내 데이터세트에서 회사명당 0.5크레딧으로 10개 제한 없이 직접 실행되므로 데이터를 내보내 다시 붙여넣을 필요가 없으며, 반복되는 행은 캐시되어 중복 과금되지 않습니다."},{"question":"Datablist로 이미 가져온 회사명도 표준화할 수 있나요?","answer":"예. 유료 enrichment는 Datablist 내 데이터세트에서 직접 실행되므로 데이터를 내보내 다시 붙여넣을 필요가 없습니다. 이 무료 도구는 지금 가지고 계신 간단한 목록을 빠르게 처리할 때 적합합니다."}]}},"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":"회사명 목록","DESCRIPTION":"회사명을 최대 10개까지 붙여넣어 대소문자 표기와 법인 형태를 정리하세요.","PLACEHOLDERS":["Acme Solutions LLC","MÜLLER & SÖHNE GMBH","회사명"],"ROW_LABEL":"회사명, {number}행","REMOVE_ROW":"{number}행 제거","ADD_ROW":"행 추가","ROW_LIMIT":"실행당 회사명을 최대 10개까지 처리할 수 있습니다.","EMPTY":"시작하려면 회사명을 붙여넣거나 입력하세요","READY_ONE":"회사명 1개 준비됨","READY_MANY":"회사명 {count}개 준비됨","FIND_ONE":"회사명 정리","FIND_MANY":"회사명 정리","SAMPLE_BUTTON":"샘플 결과 보기","SAMPLE_NOTICE":"설명을 위한 샘플 결과입니다. 신뢰도 등급은 예시이며 실시간 점수가 아닙니다. 이 미리보기에는 크레딧이 사용되지 않습니다.","REJECTED_ONE":"입력값 1개를 사용할 수 없습니다. 형식을 확인하세요.","REJECTED_MANY":"입력값 {count}개를 사용할 수 없습니다. 형식을 확인하세요.","OVERFLOW":"회사명 {count}개를 붙여넣었습니다. 한 번에 최대 10개까지 실행할 수 있습니다.","PROCESS_ALL":"Datablist에서 회사명 {count}개 모두 정리","NUMBER":"#","COMPANY_NAME":"회사명","DOMAIN":"도메인","CONFIDENCE":"신뢰도","STATUS":"상태","NO_MATCH":"정리된 회사명이 반환되지 않았습니다","COPY_ROW":"정리된 회사명 복사","START_OVER":"처음부터 다시 시작","COPY_ALL":"표준화된 회사명 복사","DOWNLOAD_CSV":"CSV 다운로드","DOWNLOAD_FILENAME":"cleaned-company-names.csv","HIGH":"높음","MEDIUM":"보통","LOW":"낮음","VERY_LOW":"매우 낮음","PRIVACY":"입력값과 결과는 이 브라우저에서 24시간 동안 확인할 수 있습니다. Datablist는 실행 완료 및 지원을 위해 작업 데이터를 더 오래 보관합니다.","UNAVAILABLE":"이 무료 도구는 일시적으로 사용할 수 없습니다. Datablist 앱은 계속 이용할 수 있습니다.","QUOTA_REACHED":"이 무료 도구의 일일 한도를 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하거나 Datablist에서 계속 진행하세요.","QUOTA_RUN_TOO_LARGE":"이번 조회는 이 무료 도구의 남은 일일 한도를 초과합니다. 회사명 수를 줄이거나 {hours}시간 {minutes}분 후 다시 이용하세요.","QUOTA_REMAINING":"오늘 {limit}크레딧 중 {remaining}크레딧 남음","QUOTA_REDUCE":"오늘 {remaining}크레딧이 남았습니다. 회사명 수를 줄여 보세요.","QUOTA_WAIT":"일일 한도를 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하세요.","CHALLENGE_REQUIRED":"조회 실행 전에 인증을 완료하세요.","RUN_FAILED":"실행을 완료하지 못했습니다. 사용 가능한 결과를 열거나 나중에 다시 시도하세요.","SUBMISSION_UNKNOWN":"조회가 시작되었는지 확인 중입니다. 이 페이지를 새로고침하여 상태를 확인하고, 다시 제출하지 마세요.","RETRY_STATUS":"현재 조회 상태를 확인할 수 없습니다. 이 페이지를 새로고침하여 다시 시도하세요.","EXPIRED":"이 결과는 더 이상 이 브라우저에서 확인할 수 없습니다.","BANNER":"무료 계정을 만들고 회사명 1,000개를 정리하기에 충분한 500크레딧을 받으세요. 카드 등록은 필요하지 않습니다.","BANNER_CTA":"무료 500크레딧 받기","RESULT_CTA":"더 큰 목록은 Datablist에서 정리하세요.","RESULT_CTA_BUTTON":"Datablist 열기","CSV_NAME":"이름","LOADING":"불러오는 중","ERROR":"오류","COMPLETE":"완료","HISTORY_TITLE":"최근 조회","HISTORY_DESCRIPTION":"결과를 이용할 수 있는 동안 최대 24시간까지 이 브라우저에서 조회 내역을 열거나 제거할 수 있습니다. 여기에서 제거해도 조회가 중단되거나 크레딧이 복구되지는 않습니다.","HISTORY_REMOVE":"이 브라우저에서 {name} 제거","HISTORY_COMPLETE":"완료","HISTORY_FAILED":"확인 필요","HISTORY_ATTENTION":"상태 확인 중","HISTORY_RUNNING":"진행 중","CLEAN_ONE":"회사명 정리","CLEAN_MANY":"회사명 정리","NORMALIZE_ALL":"{count}개 모두 표준화","ORIGINAL":"원본","NORMALIZED":"표준화 결과","WHAT_CHANGED":"변경 사항","REVIEW":"검토","DUPLICATE_OF":"“{name}”의 중복 항목","NO_CHANGE":"변경할 필요 없음","CHANGES":{"spaces":"불필요한 공백 축소","quotes":"따옴표 제거","suffix":"법인 접미사 제거","casing":"대소문자 표기 수정"},"COPY":"표준화된 회사명 복사","COPIED":"복사됨","DOWNLOAD":"CSV 다운로드","REVIEW_CTA_ONE":"1개 행이 검토로 표시되었습니다. 정리 도구가 해당 결과를 확신하지 못했습니다. Datablist의 AI 기반 enrichment는 단순한 접미사 목록이 아니라 문맥을 이해합니다.","REVIEW_CTA_MANY":"{count}개 행이 검토로 표시되었습니다. 정리 도구가 해당 결과를 확신하지 못했습니다. Datablist의 AI 기반 enrichment는 단순한 접미사 목록이 아니라 문맥을 이해합니다.","SEE_ENRICHMENT":"Enrichment 보기","DEBUG_NOTICE":"베타 액션의 디버그 결과입니다. 제출된 인물을 조회한 결과가 아닌 테스트 데이터입니다.","CHANGED":"변경됨","UNCHANGED":"변경 없음","COPY_ERROR":"복사하지 못했습니다. 다시 시도하거나 CSV를 다운로드하세요.","MORE_OPTIONS":"추가 옵션","KEEP_SUFFIX_LABEL":"법인 접미사 유지","KEEP_SUFFIX_HELP":"정리된 회사명에 Inc., LLC, Ltd., GmbH 등의 법인 형태를 유지합니다.","RUN_OPTIONS":"실행 옵션","OPTION_ON":"켜짐","OPTION_OFF":"꺼짐","CONFIDENCE_HELP":"정리된 이름이 회사의 정체성을 유지하는지 AI가 추정한 신뢰도입니다. 외부 검증 결과가 아닙니다."}},"ToolsInstagramFollowerScraper":{"CONTENT":{"META_TITLE":"무료 Instagram 팔로워 스크래퍼 | Datablist","META_SOCIAL_TITLE":"무료 Instagram 팔로워 스크래퍼","META_DESCRIPTION":"무료 온라인 Instagram 팔로워 스크래퍼입니다. 로그인, 쿠키 또는 브라우저 확장 프로그램 없이 모든 공개 Instagram 프로필에서 팔로워를 추출하세요.","SCHEMA_NAME":"Datablist 무료 Instagram 팔로워 스크래퍼","BREADCRUMB_CURRENT":"Instagram 팔로워 스크래퍼","HERO":{"TITLE":"무료 Instagram 팔로워 스크래퍼","DESCRIPTION":"Instagram 프로필 URL 또는 핸들을 하나 입력하고 실행당 최대 100명의 팔로워를 확보하세요. 로그인이나 쿠키가 필요하지 않습니다."},"SAFETY":{"TITLE":"Instagram 계정을 위험에 빠뜨리지 않는 이유","ITEMS":[{"safe":true,"label":"Datablist","body":"공개 프로필 URL 또는 핸들만 필요합니다. 개인 Instagram 계정에는 절대 연결하지 않으므로 로그인 정보, 쿠키 또는 브라우저 확장 프로그램이 필요하지 않습니다."},{"safe":false,"label":"Chrome 확장 프로그램(IG Exporter 등)","body":"활성 브라우저 세션을 가로채 scraping을 자동화합니다. Meta는 세션 내의 빠른 스크롤과 API 요청을 모니터링하므로 즉시 활동이 차단되거나 계정이 정지될 수 있습니다."},{"safe":false,"label":"쿠키 기반 클라우드 스크래퍼(PhantomBuster)","body":"개발자 도구에서 민감한 sessionid 쿠키를 복사하여 붙여 넣어야 합니다. 로그인된 Instagram 신원을 외부 서버에 위임하므로 계정이 심각한 위험에 노출됩니다."}]},"SOCIAL":{"TITLE":"스타트업과 엔터프라이즈가 신뢰하는 서비스","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"lead generation 도구"}],"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":"이용 방법","STEPS":[{"step":1,"title":"Instagram 프로필 또는 사용자 이름 입력","body":"공개 Instagram 프로필 URL(예: instagram.com/nike), 핸들(@nike) 또는 숫자로 된 사용자 ID를 붙여 넣으세요. Datablist 전체 애플리케이션에서는 여러 인플루언서 프로필을 한 번에 붙여 넣을 수도 있습니다."},{"step":2,"title":"Datablist 클라우드 서버에서 안전하게 scraping","body":"추출은 Datablist의 전용 인프라에서 전적으로 실행됩니다. Instagram 비밀번호, 2단계 인증 코드 또는 세션 쿠키(sessionid)를 절대 요구하지 않으므로 개인 계정을 활동 차단이나 이용 정지 위험으로부터 100% 안전하게 보호합니다."},{"step":3,"title":"내보내고 email 및 전화번호로 보강","body":"정리된 팔로워 표를 CSV 또는 Excel로 다운로드하세요. Datablist에서는 scraping한 핸들을 15개 이상의 email 및 전화번호 제공업체에 순차적으로 조회하여 크리에이터 캠페인을 위한 검증된 연락처 정보를 찾을 수 있습니다."}],"CTA":{"TITLE":"미리보기 10개 행이 아닌 전체 팔로워 목록을 scraping하세요","BODY":"무료 Datablist 계정에는 Instagram 로그인 없이 사용할 수 있는 500크레딧(최대 50,000명의 팔로워)이 포함됩니다.","LABEL":"무료 계정 만들기"}},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"잠재고객 및 경쟁사 분석","body":"경쟁 브랜드와 틈새 시장 리더를 정확히 누가 팔로우하는지 파악하세요. 공통 관심사, 인증 비율 및 잠재고객 인구 통계를 분석하여 시장 포지셔닝을 정교하게 다듬을 수 있습니다.","ctaLabel":"Lead 목록 구축 가이드","ctaHref":"/how-to/lead-list-building-guide"},{"title":"인플루언서 마케팅 및 크리에이터 발굴","body":"업계 최고의 크리에이터로부터 팔로워 목록을 추출하고, 인증된 프로필 또는 공개 연락처 태그를 기준으로 필터링하여 전환율 높은 협업 후보 목록을 구축하세요.","ctaLabel":"인플루언서 Scraping 가이드","ctaHref":"/how-to/scrape-instragram-follower-of-influencer"},{"title":"Instagram leads의 email 찾기","body":"Instagram 핸들만으로는 B2B outreach를 직접 진행할 수 없습니다. Datablist의 waterfall email finder로 팔로워 목록을 조회하여 검증된 업무용 email을 찾으세요.","ctaLabel":"대규모 Email 찾기","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"계정 이용 정지 없이 대규모 scraping","body":"기존 도구를 사용하면 anti-scraping 알고리즘 때문에 Instagram 계정을 희생해야 합니다. Datablist의 서버 측 엔진은 계정 위험을 완전히 제거합니다.","ctaLabel":"Instagram 팔로워 문서","ctaHref":"/sources/instagram-followers"}]},"COMPARISON":{"TITLE":"Instagram 팔로워 스크래퍼 비교","INTRO":"모든 경쟁 도구는 활성 브라우저에서 클릭을 자동화하거나 민감한 세션 쿠키를 붙여 넣도록 요구합니다. 격리된 클라우드 인프라에서 scraping을 실행하는 플랫폼은 Datablist뿐입니다.","HEADERS":["도구","IG 계정","필요 항목","요금","팔로워당 비용","데이터 보강"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/datablist.png","safety":"계정에 절대 연결하지 않음","needs":"프로필 URL 또는 @핸들","cost":"월 $25 또는 무료 체험","perFollower":"$$0.0001(0.01크레딧)","enrichment":"Email 및 전화번호 Waterfall","best":true},{"tool":"PhantomBuster","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/phantombuster.png","safety":"위험 있음","needs":"사용자의 세션 쿠키(sessionid)","cost":"월 $69","perFollower":"시간 기반(~$0.003)","enrichment":"별도의 Phantom 필요","best":false},{"tool":"Apify","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/apify.svg","safety":"위험 있음 / 기술 지식 필요","needs":"API 설정 및 actor 구성","cost":"월 $49","perFollower":"컴퓨팅 단위(변동)","enrichment":"없음(원시 데이터만 제공)","best":false},{"tool":"Chrome 확장 프로그램","favicon":"/free-tools/instagram-follower-scraper/tool-favicons/chrome.svg","safety":"높은 위험(계정 이용 정지)","needs":"계정에 설치된 확장 프로그램","cost":"월 $15","perFollower":"~$0.001","enrichment":"없음","best":false}],"NOTE":"가격은 2026년 9월에 확인된 각 도구의 월별 결제 기준 최저 요금제입니다. Datablist의 팔로워 비용은 월 $25 요금제에서 팔로워당 0.01크레딧을 기준으로 계산했습니다.","SOURCES":[{"n":1,"label":"Datablist 요금","href":"https://www.datablist.com/pricing"},{"n":2,"label":"PhantomBuster 요금","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify 요금","href":"https://apify.com/pricing"}],"CTA":{"TITLE":"Instagram 로그인을 절대 요구하지 않는 유일한 스크래퍼","BODY":"500크레딧으로 무료로 시작하세요. 확장 프로그램, 세션 쿠키 또는 신용카드가 필요하지 않습니다.","LABEL":"무료 계정 만들기"}},"RELATED":{"TITLE":"관련 도구","EYEBROW":"대량으로 처리해야 하나요?","ENRICHMENT":{"label":"Instagram 팔로워 스크래퍼","href":"/sources/instagram-followers","blurb":"여러 프로필에서 최대 2,000,000명의 팔로워를 대량으로 scraping하고, 크리에이터별로 필터링한 후 검증된 email로 보강하세요."},"TOOLS":[{"label":"무료 LinkedIn 프로필 스크래퍼","href":"/tools/linkedin-profile-scraper","blurb":"모든 LinkedIn 프로필에서 검증된 경력, 기술 및 현재 직책을 추출하세요."},{"label":"무료 Sales Navigator 스크래퍼","href":"/tools/sales-navigator-scraper","blurb":"LinkedIn 계정을 연결하지 않고 Sales Navigator 검색에서 leads를 추출하세요."},{"label":"무료 Email Finder","href":"/tools/email-finder","blurb":"이름과 도메인을 사용하여 15개 이상의 제공업체에서 waterfall 방식으로 email을 조회하세요."}]},"FAQ":{"TITLE":"자주 묻는 질문","ITEMS":[{"question":"Instagram 계정을 연결하거나 로그인 정보를 제공해야 하나요?","answer":"아니요. Datablist는 Instagram 비밀번호, 2단계 인증 코드 또는 세션 쿠키(sessionid)를 절대 요구하지 않습니다. 모든 scraping은 Datablist의 전용 클라우드 서버에서 실행되므로 개인 또는 비즈니스 Instagram 프로필이 연결되지 않으며, 플래그 처리되거나 이용 정지될 수 없습니다."},{"question":"100,000명이 넘는 팔로워도 scraping할 수 있나요?","answer":"예. Datablist는 100,000명이 넘는 팔로워를 scraping할 수 있으며, 컬렉션당 최대 2,000,000개 레코드의 데이터 세트를 지원합니다. 추출이 Datablist의 전용 클라우드 인프라에서 전적으로 실행되므로 대규모 팔로워 목록도 브라우저 메모리 충돌이나 사용량 제한으로 인한 중단 없이 계속 처리됩니다."},{"question":"Instagram 팔로워를 scraping하는 것은 합법인가요?","answer":"예. 공개 프로필에서 누구나 접근할 수 있는 데이터를 scraping하는 것은 주요 관할권에서 합법입니다. Datablist는 로그인하지 않은 방문자도 볼 수 있는 데이터만 추출하며 비공개 프로필의 제한을 우회하지 않습니다."},{"question":"어떤 데이터 항목이 추출되며, email 주소도 찾을 수 있나요?","answer":"이 무료 도구는 사용자 ID, 사용자 이름, 전체 이름, 프로필 URL, 계정 공개 상태 및 인증 상태를 반환합니다. 공개 상태나 인증 여부를 알 수 없는 값은 미지정 상태로 유지됩니다. 추출 후에는 scraping한 핸들을 Datablist의 Waterfall Email 및 전화번호 finder를 통해 15개 이상의 데이터 제공업체에 순차적으로 조회하여 검증된 연락처 정보를 찾을 수 있습니다."},{"question":"Datablist에서 Instagram 팔로워를 scraping하는 데 비용이 얼마나 드나요?","answer":"팔로워 scraping 비용은 팔로워당 0.01크레딧(1크레딧당 팔로워 100명)입니다. 무료 Datablist 계정에는 가입 시 500개의 무료 크레딧(팔로워 50,000명 처리 가능)이 포함됩니다. 유료 요금제는 만료되지 않는 5,000크레딧(팔로워 500,000명 처리 가능)을 제공하며 월 $25부터 시작합니다."}]}},"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 팔로워","DESCRIPTION":"Instagram 프로필 URL, 사용자 이름 또는 핸들","PLACEHOLDERS":["https://www.instagram.com/nike/ 또는 @nike"],"ROW_LABEL":"Instagram 프로필","REMOVE_ROW":"프로필 삭제","ADD_ROW":"프로필 추가","ROW_LIMIT":"실행당 프로필 1개 및 최대 100명의 팔로워를 처리할 수 있습니다.","EMPTY":"시작하려면 Instagram 프로필을 입력하세요","READY_ONE":"프로필 1개 준비됨","READY_MANY":"프로필 {count}개 준비됨","FIND_ONE":"팔로워 Scraping","FIND_MANY":"팔로워 Scraping","SAMPLE_BUTTON":"샘플 결과 보기","SAMPLE_NOTICE":"가상의 팔로워로 구성된 예시 샘플입니다. 이 미리보기는 브라우저에서 실행되며 크레딧을 사용하지 않습니다.","REJECTED_ONE":"이 프로필을 사용할 수 없습니다. 형식을 확인하세요.","REJECTED_MANY":"입력 {count}개를 사용할 수 없습니다. 형식을 확인하세요.","OVERFLOW":"{count}개의 프로필을 붙여 넣었습니다. 이 무료 도구에서는 한 번에 하나만 처리할 수 있습니다.","PROCESS_ALL":"Datablist에서 프로필 {count}개 모두 Scraping","NO_MATCH":"이 프로필에서 반환된 팔로워가 없습니다.","COPY_ROW":"{name}의 프로필 URL 복사","START_OVER":"처음부터 다시 시작","COPY_ALL":"CSV 복사","DOWNLOAD_CSV":"CSV 다운로드","COPY_ERROR":"복사하지 못했습니다. 다시 시도하거나 CSV를 다운로드하세요.","PRIVACY":"입력 내용과 결과는 이 브라우저에서 24시간 동안 이용할 수 있습니다. Datablist는 작업 실행을 완료하고 지원하기 위해 작업 데이터를 더 오래 보관합니다.","UNAVAILABLE":"이 무료 도구는 일시적으로 사용할 수 없습니다. Datablist 앱은 계속 이용할 수 있습니다.","QUOTA_REACHED":"이 무료 도구의 일일 할당량을 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하거나 Datablist에서 계속 진행하세요.","QUOTA_RUN_TOO_LARGE":"이 scraping 작업은 남은 일일 할당량을 초과합니다. {hours}시간 {minutes}분 후 다시 이용하세요.","QUOTA_REMAINING":"오늘 {limit}크레딧 중 {remaining}크레딧 남음","QUOTA_REDUCE":"오늘 {remaining}크레딧이 남았습니다. 일일 할당량이 초기화될 때까지 기다려 주세요.","QUOTA_WAIT":"일일 할당량을 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하세요.","CHALLENGE_REQUIRED":"팔로워를 scraping하기 전에 인증을 완료하세요.","RUN_FAILED":"Scraping을 완료하지 못했습니다. 확보된 팔로워는 아래에 표시됩니다.","SUBMISSION_UNKNOWN":"Scraping 작업이 시작되었는지 확인하고 있습니다. 상태를 확인하려면 페이지를 새로고침해 주세요. 다시 제출하지 마세요.","RETRY_STATUS":"현재 scraping 상태를 확인할 수 없습니다. 이 페이지를 새로고침하여 다시 시도하세요.","EXPIRED":"이 결과는 더 이상 이 브라우저에서 이용할 수 없습니다.","BANNER":"Datablist에서 더 큰 팔로워 목록을 scraping하고 데이터를 보강하세요. 카드 없이 500개의 무료 크레딧으로 시작할 수 있습니다.","BANNER_CTA":"무료 크레딧 500개 받기","RESULT_CTA":"Datablist에서 더 큰 팔로워 목록을 scraping하세요.","RESULT_CTA_BUTTON":"Datablist 열기","HISTORY_TITLE":"최근 scraping 작업","HISTORY_DESCRIPTION":"최대 24시간 동안 이 브라우저에서 scraping 작업을 열거나 삭제할 수 있습니다. 여기에서 삭제해도 scraping이 중지되거나 크레딧이 복원되지는 않습니다.","HISTORY_REMOVE":"이 브라우저에서 {name} 삭제","HISTORY_COMPLETE":"완료","HISTORY_FAILED":"확인 필요","HISTORY_ATTENTION":"상태 확인 중","HISTORY_RUNNING":"진행 중","DEBUG_NOTICE":"베타 작업의 디버그 결과입니다. 테스트 데이터입니다.","LABEL":"Instagram 프로필 URL, 사용자 이름 또는 핸들","PLACEHOLDER":"https://www.instagram.com/cristiano/ 또는 @nike","SCRAPE":"팔로워 Scraping","SCRAPING":"Scraping 중","SAFETY":"Instagram 로그인, 쿠키 또는 비밀번호가 필요하지 않습니다. 사용자 계정에는 절대 연결하지 않습니다.","SAMPLES":"또는 샘플을 사용해 보세요:","ERRORS":{"EMPTY":{"REASON":"Instagram 프로필 URL, 사용자 이름 또는 핸들을 입력해 주세요."},"USERNAME":{"REASON":"유효한 Instagram 사용자 이름을 입력해 주세요."},"TOO_LONG":{"REASON":"Instagram 사용자 이름은 30자를 초과할 수 없습니다."},"CHARACTERS":{"REASON":"사용자 이름에 유효하지 않은 문자가 포함되어 있습니다.","HINT":"Instagram 사용자 이름에는 문자, 숫자, 마침표 및 밑줄만 사용할 수 있습니다."},"RESERVED_HANDLE":{"REASON":"\"{value}\"은(는) 사용자 프로필이 아니라 Instagram 시스템 페이지입니다."},"BAD_URL":{"REASON":"유효한 URL 또는 사용자 이름이 아닌 것 같습니다.","HINT":"Instagram 프로필 링크(예: https://www.instagram.com/cristiano/) 또는 핸들(@cristiano)을 입력하세요."},"WRONG_SITE":{"REASON":"Instagram 링크가 아니라 {value} 링크입니다.","HINT":"Instagram 프로필 링크(예: instagram.com/username) 또는 핸들을 입력해 주세요."},"HOMEPAGE":{"REASON":"특정 프로필이 아니라 Instagram 홈페이지입니다.","HINT":"instagram.com/nike/처럼 끝에 사용자 이름이 있는 프로필 URL을 붙여 넣으세요."},"POST":{"REASON":"프로필이 아니라 개별 Instagram 게시물 또는 릴스 링크입니다.","HINT":"팔로워를 scraping하려면 작성자의 프로필 페이지를 열고 해당 URL을 복사하세요."},"STORY":{"REASON":"Instagram Story 링크입니다.","HINT":"Story는 일시적이며 공개 팔로워 목록이 없습니다. 크리에이터의 프로필 URL을 붙여 넣어 주세요."},"EXPLORE":{"REASON":"프로필이 아니라 Instagram 태그 또는 탐색 페이지입니다.","HINT":"팔로워를 scraping하려면 크리에이터, 브랜드 또는 인플루언서의 프로필 URL을 입력하세요."},"SYSTEM_PAGE":{"REASON":"사용자 프로필이 아니라 Instagram 시스템 페이지를 가리킵니다."},"PROFILE_USERNAME":{"REASON":"이 URL의 프로필 사용자 이름이 유효하지 않습니다.","HINT":"URL이 https://www.instagram.com/username/ 형식과 일치하는지 확인하세요."}},"SCRAPE_ERROR":"Scraping을 완료하지 못했습니다. 잠시 후 다시 시도해 주세요.","RESULTS":"@{handle}의 첫 팔로워 {count}명을 무료로 확인하세요.","USER":"사용자","USER_ID":"사용자 ID","ACCOUNT_PRIVACY":"공개 상태","PROFILE":"프로필","ID":"ID: {id}","VERIFIED":"인증됨","PRIVATE":"비공개","PUBLIC":"공개","VIEW":"보기","COPIED":"복사됨","COPY":"복사","DOWNLOAD":"CSV 다운로드","SCRAPE_FULL":"전체 목록 Scraping","RESULT_NOTE":"무료 미리보기에는 연락처 정보 없이 팔로워 {count}명이 표시됩니다. 최대 2,000,000명의 팔로워를 대량으로 scraping하고 email 및 전화번호 finder에 순차적으로 조회하려면 Datablist의 다음 도구를 사용하세요:","SOURCE_LABEL":"Instagram 팔로워 스크래퍼","CSV_HEADER":"사용자 ID,사용자 이름,전체 이름,인증됨,비공개,프로필 URL,팔로우 대상","YES":"예","NO":"아니요","DOWNLOAD_FILENAME":"instagram-followers.csv"}},"ToolsLinkedInProfileScraper":{"CONTENT":{"META_TITLE":"무료 LinkedIn 프로필 스크래퍼 | Datablist","META_SOCIAL_TITLE":"무료 LinkedIn 프로필 스크래퍼","META_DESCRIPTION":"LinkedIn 계정을 연결하지 않고 LinkedIn 개인 프로필을 조회하세요. 이용 가능한 신원, 경력 및 학력 데이터를 확인할 수 있습니다. 일일 한도가 적용됩니다.","SCHEMA_NAME":"Datablist 무료 LinkedIn 프로필 스크래퍼","BREADCRUMB_CURRENT":"LinkedIn 프로필 스크래퍼","HERO":{"TITLE":"무료 LinkedIn 프로필 스크래퍼","DESCRIPTION":"LinkedIn 또는 Sales Navigator 개인 URL을 붙여 넣어 이용 가능한 프로필, 경력 및 학력 정보를 확인하세요. LinkedIn 로그인이나 세션 쿠키가 필요하지 않습니다."},"SAFETY":{"TITLE":"LinkedIn 계정에 연결하지 않습니다","ITEMS":[{"safe":true,"label":"Datablist","body":"프로필 URL만 있으면 됩니다. LinkedIn 로그인, 세션 쿠키 또는 브라우저 확장 프로그램 없이 Datablist 인프라에서 처리됩니다."},{"safe":false,"label":"Chrome 확장 프로그램","body":"Evaboot, Skrapp 및 유사한 브라우저 도구는 로그인된 브라우저 세션 안에서 클릭과 페이지 조회를 자동화합니다. LinkedIn은 클라이언트 측 자동화를 사용하는 계정을 감지하고 제한합니다."},{"safe":false,"label":"쿠키 기반 클라우드 도구","body":"Phantombuster와 클라우드 액터는 민감한 li_at 세션 쿠키를 복사해 붙여 넣도록 요구합니다. 활성 세션을 타사의 공유 서버에 넘기면 계정이 감지되거나 차단될 위험이 있습니다."}]},"SOCIAL":{"TITLE":"스타트업과 엔터프라이즈가 신뢰하는 서비스","STATS":[{"value":"35,000+","label":"Datablist를 사용하는 기업"},{"value":"20M+","label":"매월 보강되는 행"},{"value":"60+","label":"lead generation 도구"}],"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":"작동 방식","STEPS":[{"step":1,"title":"LinkedIn 프로필 URL 복사","body":"LinkedIn 또는 Sales Navigator에서 스크래핑할 프로필로 이동한 다음 브라우저 주소창에서 링크를 복사하세요. 표준 프로필 URL(linkedin.com/in/...)과 Sales Navigator lead URL을 모두 지원합니다."},{"step":2,"title":"여기에 URL 붙여 넣기","body":"위 입력란에 URL을 붙여 넣으세요. 처리하기 전에 trk, lipi 같은 추적 매개변수를 자동으로 제거합니다. 로그인, 비밀번호, Chrome 확장 프로그램 또는 세션 쿠키는 전혀 필요하지 않습니다."},{"step":3,"title":"구조화된 프로필 정보 가져오기","body":"추출 작업은 개인 LinkedIn 계정과 완전히 분리된 Datablist 전용 인프라에서 실행됩니다. 이름, 헤드라인, 요약, 현재 고용주의 기업 특성, 이전 경력 및 학력 등 정리된 구조화 데이터를 받을 수 있습니다."}],"CTA":{"TITLE":"프로필 20개를 무료로 일괄 스크래핑","BODY":"무료 Datablist 계정에는 500크레딧이 제공됩니다. CSV를 업로드하고 몇 분 만에 전체 목록을 보강하세요.","LABEL":"무료 계정 만들기"}},"DATA":{"TITLE":"각 LinkedIn 프로필에서 얻을 수 있는 데이터","ITEMS":[{"icon":"UserCheck","title":"신원 및 위치","description":"잠재 고객을 정확히 식별하고 타깃 그룹을 세분화하기 위한 핵심 개인 데이터입니다.","fields":["이름","성","전체 이름","헤드라인","소개 / 요약","도시, 주 및 국가","국가 코드(ISO-2)"]},{"icon":"Database","title":"현재 직책 및 기업 특성","description":"ICP 적합성을 평가하고 타깃 outbound 메시지를 강화하기 위한 상세 고용주 데이터입니다.","fields":["직책","회사명","회사 LinkedIn URL","회사 웹사이트","산업","직원 수 범위","직책 시작일 및 재직 기간","직책 설명"]},{"icon":"BriefcaseIcon","title":"커리어 및 경력","description":"이전 직책을 최대 2개까지 확인할 수 있습니다.","fields":["이전 직책 2개","이전 회사명","재직 기간 및 날짜","직책 설명 및 성과"]},{"icon":"Layers","title":"학력 및 언어","description":"이용 가능한 학력 및 언어 정보입니다.","fields":["대학교 / 학교명","취득 학위","전공","졸업일","구사 언어"]}]},"USE_CASES":{"TITLE":"활용 사례","ITEMS":[{"title":"콜드 email 및 메시지 개인화","body":"잠재 고객의 경력, 최근 이직 및 자기소개 요약을 스크래핑하여 공감을 얻고 전환을 유도하는 초개인화 콜드 outreach를 작성하세요.","ctaLabel":"Lead 목록 구축 가이드","ctaHref":"/how-to/lead-list-building-guide"},{"title":"후보자 소싱 및 채용","body":"이용 가능한 이전 고용주와 학력 정보를 포함한 완전한 후보자 프로필을 추출하여 체계적인 인재 데이터베이스에 바로 저장하세요.","ctaLabel":"LinkedIn 정보 스크래핑 가이드","ctaHref":"/how-to/scrape-linkedin-profile-details"},{"title":"검증된 업무용 email 찾기","body":"20개 이상의 제공업체를 활용하는 Datablist의 워터폴 email 보강을 통해 스크래핑한 이름과 회사 웹사이트를 검증된 업무용 email 주소로 전환하세요.","ctaLabel":"대규모 Email 찾기","ctaHref":"/how-to/finding-emails-at-scale"},{"title":"CRM 연락처 및 계정 정보 갱신","body":"Salesforce 또는 HubSpot 연락처를 최신 상태로 유지하세요. 수동 데이터 입력 없이 이직, 승진 및 변경된 기업 특성을 자동으로 감지합니다.","ctaLabel":"CRM 데이터 보강 가이드","ctaHref":"/how-to/clean-enrich-refresh-data-crm"}]},"COMPARISON":{"TITLE":"LinkedIn 프로필 스크래퍼 비교","INTRO":"대부분의 LinkedIn 스크래퍼는 활성 세션을 자동화하거나 예측하기 어려운 실행 시간을 기준으로 요금을 청구합니다. Datablist는 자체 클라우드 인프라에서 독립적으로 작동하며 프로필별 요금을 투명하게 제공합니다.","HEADERS":["도구","LinkedIn 계정","필요 항목","요금","프로필당 비용","대량 CSV"],"ROWS":[{"tool":"Datablist","favicon":"/free-tools/linkedin-profile-scraper/datablist.png","values":["연결하지 않음","공개 프로필 URL만 필요","$$25/월","$$0.025","예, 100k+행"],"best":true},{"tool":"Phantombuster","favicon":"/free-tools/linkedin-profile-scraper/phantombuster.png","values":["위험 있음","세션 쿠키(li_at)","$$69/월","분당 청구","제한적"],"best":false},{"tool":"Apify","favicon":"/free-tools/linkedin-profile-scraper/apify.svg","values":["위험 있음","액터 설정 / 프록시 키","$$29/월","변동","API/JSON 이용"],"best":false},{"tool":"Clay","favicon":"/free-tools/linkedin-profile-scraper/clay.png","values":["안전함(데이터베이스 조회)","데이터베이스 조회(실시간 아님)","$$185/월","$$0.05 - $0.10","예"],"best":false},{"tool":"Evaboot","favicon":"/free-tools/linkedin-profile-scraper/evaboot.png","values":["위험 있음","계정에 설치하는 확장 프로그램","$$9/월","$$0.09","Sales Nav만 지원"],"best":false}],"NOTE":"가격은 2026년 9월 각 공급업체의 실제 요금 페이지에서 확인한 월간 결제 기준 최저 요금제입니다. Datablist의 프로필당 비용은 월 $25 요금제에서 프로필당 25크레딧을 기준으로 계산했습니다.","SOURCES":[{"n":1,"label":"Datablist 요금","href":"/pricing"},{"n":2,"label":"Phantombuster 요금","href":"https://phantombuster.com/pricing"},{"n":3,"label":"Apify 요금","href":"https://apify.com/pricing"},{"n":4,"label":"Clay 요금","href":"https://clay.com/pricing"},{"n":5,"label":"Evaboot 요금","href":"https://evaboot.com/pricing"}],"CTA":{"TITLE":"LinkedIn 계정에 연결하지 않는 유일한 스크래퍼","BODY":"500크레딧으로 무료로 시작하세요. 확장 프로그램, 세션 쿠키, 신용카드가 필요하지 않습니다.","LABEL":"무료 계정 만들기"}},"RELATED":{"TITLE":"관련 도구","EYEBROW":"대량 처리가 필요하신가요?","ENRICHMENT":{"label":"LinkedIn 프로필 스크래퍼","href":"/enrichments/linkedin-profile-scraper-bulk","blurb":"LinkedIn 계정을 연결하지 않고 Datablist에서 CSV로 더 큰 LinkedIn 프로필 목록을 처리하세요."},"TOOLS":[{"label":"무료 Sales Navigator 스크래퍼","href":"/tools/sales-navigator-scraper","blurb":"계정을 연결하지 않고 Sales Navigator 검색 결과에서 leads를 추출하세요."},{"label":"무료 Email Finder","href":"/tools/email-finder","blurb":"개인의 이름과 회사 도메인으로 검증된 업무용 email을 찾으세요."},{"label":"무료 도메인 찾기","href":"/tools/domain-finder","blurb":"신뢰도 점수와 함께 회사명을 공식 웹사이트 도메인으로 변환하세요."}]},"FAQ":{"TITLE":"자주 묻는 질문","ITEMS":[{"question":"Datablist가 제 LinkedIn 계정에 연결하거나 세션 쿠키를 사용하나요?","answer":"아니요. Datablist는 LinkedIn 계정에 절대 연결하지 않으며 비밀번호나 세션 쿠키(li_at)를 요청하지 않습니다. 모든 스크래핑은 공개 프로필 데이터를 사용하여 전용 클라우드 인프라에서 완전히 실행되므로 계정 제한이나 차단 위험이 없습니다."},{"question":"스크래핑한 프로필의 검증된 업무용 email을 찾을 수 있나요?","answer":"예. Datablist에서는 스크래핑한 이름과 회사 도메인을 20개 이상의 데이터 제공업체를 활용하는 Waterfall Email Finder에 순차적으로 적용하여 email 주소를 찾고 검증할 수 있으며, 확인된 일치 항목에 대해서만 크레딧을 지불합니다."},{"question":"각 LinkedIn 프로필에서 어떤 데이터 항목을 추출하나요?","answer":"이 도구는 이용 가능한 신원, 헤드라인, 요약, 위치, 언어, 연결 수, 현재 직책, 이전 직책 최대 2개 및 첫 번째 학력 기록을 반환합니다. 누락된 필드는 비어 있습니다. 스킬, 사진 및 URN은 포함되지 않습니다."},{"question":"LinkedIn 프로필을 대량으로 스크래핑하고 Sales Navigator URL을 사용할 수 있나요?","answer":"예. Datablist는 표준 LinkedIn 프로필 URL과 Sales Navigator lead URL을 지원합니다. 수천 개의 링크가 포함된 CSV를 업로드하여 약 3분에 프로필 1,000개 속도로 대량 스크래핑할 수 있습니다."},{"question":"Datablist에서 프로필을 스크래핑하는 비용은 얼마인가요?","answer":"스크래핑 비용은 프로필당 25크레딧이며 캐시된 데이터는 20크레딧입니다. 모든 무료 계정에는 가입 시 무료 500크레딧이 제공되어 전체 프로필 20개를 처리할 수 있습니다. 유료 요금제는 5,000크레딧에 월 $25부터 시작하며 크레딧은 만료되지 않습니다."},{"question":"이 도구에서 캐시된 프로필 데이터를 반환할 수 있나요?","answer":"예. 이 무료 도구는 캐시된 프로필을 지원합니다. 데이터가 불완전하거나 최신 상태가 아닐 수 있습니다. 이용 가능한 경우 현재 직책 1개, 이전 직책 최대 2개 및 학력 기록 1개를 반환하며 스킬, 프로필 사진 또는 LinkedIn URN은 반환하지 않습니다. 실행할 때마다 세션 및 IP당 25크레딧인 일일 한도에서 25크레딧이 예약됩니다."}]}},"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":"프로필","DESCRIPTION":"LinkedIn 프로필 URL 또는 Sales Navigator lead URL 하나를 입력하세요","PLACEHOLDERS":["https://www.linkedin.com/in/username 또는 https://www.linkedin.com/sales/lead/..."],"ROW_LABEL":"LinkedIn 프로필 URL","REMOVE_ROW":"{number}번 행 삭제","ADD_ROW":"다른 행 추가","ROW_LIMIT":"한 번 실행할 때 LinkedIn 프로필 하나만 처리할 수 있습니다.","EMPTY":"시작하려면 LinkedIn 프로필 URL을 붙여 넣으세요","READY_ONE":"이 프로필을 조회할 준비가 되었습니다","READY_MANY":"이 프로필을 조회할 준비가 되었습니다","FIND_ONE":"프로필 스크래핑","FIND_MANY":"프로필 스크래핑","SAMPLE_BUTTON":"샘플 결과 보기","SAMPLE_NOTICE":"예시용 샘플 결과입니다. 이 미리보기에는 크레딧이 사용되지 않습니다.","REJECTED_ONE":"입력 하나를 사용할 수 없습니다. 형식을 확인하세요.","REJECTED_MANY":"입력 {count}개를 사용할 수 없습니다. 형식을 확인하세요.","OVERFLOW":"한 번에 프로필 하나만 실행할 수 있습니다.","PROCESS_ALL":"{count}개 모두 처리","NUMBER":"#","COMPANY_NAME":"회사명","DOMAIN":"도메인","CONFIDENCE":"신뢰도","STATUS":"상태","NO_MATCH":"프로필 데이터를 찾을 수 없음","COPY_ROW":"{name}의 도메인 복사","START_OVER":"처음부터 다시 시작","COPY_ALL":"CSV 복사","DOWNLOAD_CSV":"CSV 다운로드","DOWNLOAD_FILENAME":"linkedin-profile.csv","DOWNLOAD_JSON":"JSON 다운로드","DOWNLOAD_JSON_FILENAME":"linkedin-profile.json","HIGH":"높음","MEDIUM":"중간","LOW":"낮음","VERY_LOW":"매우 낮음","PRIVACY":"입력 내용과 결과는 이 브라우저에서 24시간 동안 확인할 수 있습니다. Datablist는 실행 완료 및 지원을 위해 작업 데이터를 더 오래 보관합니다.","UNAVAILABLE":"현재 이 무료 도구를 일시적으로 사용할 수 없습니다. Datablist 앱은 계속 이용할 수 있습니다.","QUOTA_REACHED":"이 무료 도구의 일일 한도를 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하거나 Datablist에서 계속하세요.","QUOTA_RUN_TOO_LARGE":"이 조회는 이 무료 도구의 남은 일일 한도를 초과합니다. 이름 수를 줄이거나 {hours}시간 {minutes}분 후 다시 이용하세요.","QUOTA_REMAINING":"오늘 {limit}크레딧 중 {remaining}크레딧 남음","QUOTA_REDUCE":"오늘 {remaining}크레딧이 남았습니다. 이 프로필 조회에는 25크레딧이 필요합니다.","QUOTA_WAIT":"일일 한도를 모두 사용했습니다. {hours}시간 {minutes}분 후 다시 이용하세요.","CHALLENGE_REQUIRED":"조회를 실행하기 전에 인증을 완료하세요.","RUN_FAILED":"실행을 완료하지 못했습니다. 이용 가능한 결과를 열거나 나중에 다시 시도할 수 있습니다.","SUBMISSION_UNKNOWN":"조회가 시작되었는지 확인하고 있습니다. 상태를 확인하려면 이 페이지를 새로고침하세요. 다시 제출하지 마세요.","RETRY_STATUS":"현재 조회 상태를 확인할 수 없습니다. 페이지를 새로고침하여 다시 시도하세요.","EXPIRED":"이 결과는 더 이상 이 브라우저에서 사용할 수 없습니다.","BANNER":"더 많은 프로필이 필요하신가요? Datablist에서 계속하세요.","BANNER_CTA":"Datablist 열기","RESULT_CTA":"Datablist에서 LinkedIn 프로필 전체 목록을 보강하세요.","RESULT_CTA_BUTTON":"Datablist 열기","CSV_NAME":"이름","LOADING":"불러오는 중","ERROR":"오류","COMPLETE":"완료","HISTORY_TITLE":"최근 조회","HISTORY_DESCRIPTION":"결과를 이용할 수 있는 최대 24시간 동안 이 브라우저에서 조회를 열거나 삭제할 수 있습니다. 여기에서 삭제해도 조회가 중지되거나 크레딧이 복원되지는 않습니다.","HISTORY_REMOVE":"이 브라우저에서 {name} 삭제","HISTORY_COMPLETE":"완료","HISTORY_FAILED":"확인 필요","HISTORY_ATTENTION":"상태 확인 중","HISTORY_RUNNING":"진행 중","LABEL":"LinkedIn 프로필 URL 또는 Sales Navigator lead URL","PLACEHOLDER":"https://www.linkedin.com/in/username 또는 https://www.linkedin.com/sales/lead/...","SCRAPE":"프로필 스크래핑","SAFETY":"LinkedIn 로그인, 쿠키 또는 세션 ID가 필요하지 않습니다. 계정에 연결하지 않습니다.","SAMPLES":"또는 샘플을 사용해 보세요:","RESULTS":"{name}님의 추출된 상세 정보입니다. 무료로 제공됩니다.","TABLE":"데이터 테이블","OVERVIEW":"개요 카드","PROPERTY":"속성","VALUE":"추출된 값","IDENTITY":"신원 및 위치","CURRENT":"현재 직책 및 기업 특성","HISTORY":"경력({count}개 직책)","EDUCATION_SKILLS":"학력 및 언어","CONNECTIONS":"연결 수","LANGUAGES":"언어","NAME":"전체 이름","FIRST_LAST":"이름 및 성","HEADLINE":"헤드라인","SUMMARY":"소개 / 요약","LOCATION":"위치","LOCATION_VALUE":"{location} (국가: {country})","PROFILE_URL":"프로필 URL","URN":"LinkedIn URN","JOB":"현재 직책","COMPANY":"회사명","WEBSITE":"회사 웹사이트","INDUSTRY_SIZE":"산업 및 규모","DATES":"재직 기간 / 날짜","PREVIOUS_ROLE":"이전 직책 #{number}","ROLE_AT":"{company}의 {title}","EDUCATION":"학력 #{number}","SKILLS":"주요 스킬","BIO":"소개 / 자기소개","POSITION":"현재 직책","PAST":"이전 경력","COPY_CSV":"CSV 복사","COPIED_CSV":"CSV 복사 완료","COPY_JSON":"JSON 복사","COPIED_JSON":"JSON 복사 완료","DOWNLOAD":"CSV 다운로드","FULL_LIST":"전체 목록 스크래핑","RESULT_NOTE":"무료 미리보기는 개별 프로필에서 전체 데이터 항목을 추출합니다. 계정 위험 없이 CSV에서 수백 또는 수천 개의 프로필을 대량 스크래핑하려면 Datablist의 ","COPY_ERROR":"복사하지 못했습니다. 다시 시도하거나 CSV를 다운로드하세요.","CSV_HEADERS":["전체 이름","이름","성","헤드라인","직책","회사명","회사 웹사이트","회사 LinkedIn URL","산업","직원 수 범위","도시","주","국가","국가 코드","정규화된 프로필 URL","요약","이전 경력 1 직책","이전 경력 1 회사","이전 경력 1 날짜","이전 경력 2 직책","이전 경력 2 회사","이전 경력 2 날짜","교육기관","학위","언어"],"ERRORS":{"EMPTY":{"REASON":"LinkedIn 프로필 URL을 붙여 넣으세요.","HINT":"예: https://www.linkedin.com/in/satyanadella"},"INVALID_URL":{"REASON":"유효한 URL이 아닌 것 같습니다.","HINT":"linkedin.com으로 시작하는 전체 링크를 붙여 넣었는지 확인하세요"},"WRONG_SITE":{"REASON":"LinkedIn URL이 아닙니다.","HINT":"URL이 \"{value}\"을(를) 가리킵니다. LinkedIn 프로필 링크를 붙여 넣으세요."},"COMPANY":{"REASON":"개인 프로필이 아니라 회사 또는 기관 페이지입니다.","HINT":"개인을 스크래핑하려면 linkedin.com/in/username 형식의 개인 프로필 URL을 붙여 넣으세요"},"SEARCH":{"REASON":"프로필 URL이 아니라 검색 결과 URL입니다.","HINT":"검색 결과를 스크래핑하려면 무료 Sales Navigator 스크래퍼를 사용해 보세요. 이 도구를 사용하려면 프로필을 클릭하고 해당 개인 링크를 붙여 넣으세요."},"POST":{"REASON":"프로필이 아니라 LinkedIn 피드 게시물 또는 아티클입니다.","HINT":"작성자 이름을 클릭해 프로필을 연 다음 프로필 URL을 복사하여 붙여 넣으세요."},"PATH":{"REASON":"인식할 수 없는 LinkedIn 프로필 경로입니다.","HINT":"linkedin.com/in/username 형식의 프로필 링크 또는 Sales Navigator lead URL을 붙여 넣으세요."}},"VERIFIED_PROFILE":"검증된 프로필","SCRAPED_CLEAN":"프로필 데이터","ENRICHMENT_LABEL":"LinkedIn 프로필 스크래퍼","RESULT_NOTE_SUFFIX":" 대량 보강을 사용하세요.","DEBUG_NOTICE":"베타 액션의 디버그 결과입니다. 제출한 인물의 조회 결과가 아닌 테스트 데이터입니다.","CHANGED":"변경됨","UNCHANGED":"변경 없음","CSV_HEADER_LINE":"전체 이름|이름|성|헤드라인|직책|회사명|회사 웹사이트|회사 LinkedIn URL|산업|직원 수 범위|도시|주|국가|국가 코드|정규화된 프로필 URL|요약|이전 경력 1 직책|이전 경력 1 회사|이전 경력 1 날짜|이전 경력 2 직책|이전 경력 2 회사|이전 경력 2 날짜|교육기관|학위|언어"}},"UseCaseAiScraping":{"PAGE_TITLE":"코드 없이 AI 웹 스크래핑","PAGE_DESC":"간단한 prompt 하나로 수천 개 웹사이트를 스크래핑하세요. Datablist의 AI Agent가 요구를 이해하고 페이지를 탐색해 구조화된 데이터를 추출합니다—코드는 필요 없습니다.","USE_CASE":"활용 사례","HERO_TITLE":"코드 없이 AI 웹 스크래핑","HERO_DESC":"간단한 prompt 하나로 수천 개 웹사이트를 스크래핑하세요. Datablist의 AI Agent가 요구를 이해하고 페이지를 탐색해 구조화된 데이터를 추출합니다—코드는 필요 없습니다.","PROBLEM_TITLE":"기존 웹 스크래핑은 취약합니다","PROBLEM_BODY":"CSS 셀렉터에 의존하는 웹 스크래퍼는 매우 취약하며 지속적인 유지보수가 필요합니다. 웹사이트 레이아웃의 작은 변경만으로도 전체 workflow가 깨질 수 있습니다. Datablist의 AI Agent는 사람처럼 콘텐츠를 이해해 이를 극복하고, 웹사이트 업데이트에도 견고하게 대응합니다.","PROMPT_TITLE":"간단한 prompt로부터 구조화된 데이터까지","PROMPT_CONTENT_1":"복잡한 설정은 잊으세요. 필요한 것을 AI Agent에게 평이한 영어로 말하기만 하면 됩니다. 'About Us' 페이지에서 CEO 이름을 찾고 싶으신가요? 그대로 요청하세요. 카테고리 페이지에서 상품 가격을 추출해야 하나요? 원하는 바를 설명만 하세요.","PROMPT_CONTENT_2":"AI Agent가 지시를 해석하고 웹을 탐색하여, 깨끗하고 구조화된 데이터를 스프레드시트로 바로 전달합니다.","SCALE_TITLE":"확장성을 위해 설계, 누구나 부담 없는 가격","SCALE_CONTENT_1":"웹사이트 10개든 1만 개든, 당사의 AI Agent는 준비되어 있습니다. 페이지네이션과 프록시 관리 같은 기술적 세부 사항은 자동으로 처리하므로 프로세스가 아닌 데이터에만 집중하실 수 있습니다.","SCALE_CONTENT_2":"당사의 크레딧 기반 시스템은 비용 효율적이어서 예산을 크게 쓰지 않고도 대규모 스크래핑 작업을 실행할 수 있습니다. 필요할 때 필요한 데이터를 받아보세요.","ROBUST_TITLE":"어떤 웹사이트, 어떤 변경에도 적응합니다","ROBUST_CONTENT_1":"현대의 웹은 동적이며 끊임없이 변합니다. 당사의 AI Agent는 견고하도록 설계되었습니다. 데이터의 맥락과 의미를 이해하기 때문에 경직된 웹사이트 구조에 의존하지 않습니다.","ROBUST_CONTENT_2":"이는 더 신뢰할 수 있는 데이터 추출과 깨진 스크래퍼를 수정하는 시간의 절감을 의미합니다. 웹의 복잡성은 AI에 맡기세요.","USECASES_TITLE":"AI 스크래핑으로 데이터의 세계를 여세요","USECASES_LEADGEN_TITLE":"Lead Generation을 가속하세요","USECASES_LEADGEN_CONTENT_1":"기본적인 firmographics를 넘어, AI Agent로 회사 웹사이트에서 사례 연구, 사용 기술, 최근 소식을 스크래핑하세요.","USECASES_LEADGEN_CONTENT_2":"이 풍부한 맥락 데이터는 고도 개인화되고 효과적인 outreach 캠페인의 완벽한 연료가 됩니다.","USECASES_MARKET_TITLE":"시장 및 경쟁사 리서치를 자동화하세요","USECASES_MARKET_CONTENT_1":"수작업 리서치에 시간을 낭비하지 마세요. 경쟁사 웹사이트의 제품 업데이트, 가격 변경, 신규 채용 공고를 자동으로 모니터링하세요.","USECASES_MARKET_CONTENT_2":"Trustpilot, Trusted Shops와 같은 사이트에서 고객 리뷰를 수집해 감성 분석을 수행하고 시장 트렌드를 파악하세요.","USECASES_ECOMMERCE_TITLE":"이커머스 및 상품 모니터링","USECASES_ECOMMERCE_CONTENT_1":"어떤 이커머스 사이트에서도 손쉽게 상품 리스트를 스크래핑하세요. 이름, 가격, SKU, 설명, 고객 리뷰를 추출합니다.","USECASES_ECOMMERCE_CONTENT_2":"경쟁사의 재고를 주시하고, 가격 전략을 모니터링하며, 귀사 플랫폼을 위한 상품 데이터를 집계하세요.","BENEFITS_TITLE":"강력한 스크래핑을 쉽고 간단하게","BENEFITS_NOCODE_TITLE":"No-Code 인터페이스","BENEFITS_NOCODE_BODY":"프로그래밍 역량은 필요 없습니다. 지시를 문장으로 쓸 수 있다면 누구나 웹을 스크래핑할 수 있습니다. 직관적인 인터페이스로 데이터 추출을 누구나 쉽게 이용할 수 있습니다.","BENEFITS_FLEXIBLE_TITLE":"유연하고 구성 가능합니다","BENEFITS_FLEXIBLE_BODY":"스크래핑 작업을 필요에 맞게 정밀하게 맞춤화하세요. 단일 데이터 포인트부터 전체 데이터셋까지 추출할 수 있습니다. AI Agent가 귀하의 요구 사항에 맞춰 적응합니다.","BENEFITS_SCALABLE_TITLE":"확장 가능하고 자동화됨","BENEFITS_SCALABLE_BODY":"소규모 작업부터 대규모 데이터 수집 프로젝트까지, 당사의 AI Agent는 함께 확장됩니다. 데이터를 항상 최신으로 유지하도록 정기 스크래핑을 예약해 자동으로 업데이트하세요.","BENEFITS_PRECISE_TITLE":"정확하고 구조화된 출력","BENEFITS_PRECISE_BODY":"필요한 데이터를 깔끔하고 정돈된 형식으로 받아보세요. AI Agent가 구조화된 결과를 스프레드시트로 직접 전달해 분석이나 export에 바로 활용할 수 있습니다.","SEE_ALSO":"함께 보기","VIDEO_TITLE":"AI 스크래핑 데모 보기","VIDEO_TEXT":"간단한 prompt로 1분 이내에 커스텀 lead scoring 모델을 만드는 방법을 확인하세요. 수식도 번거로움도 없습니다."},"UseCaseDataCleaning":{"PAGE_TITLE":"데이터 클리닝, 자동화.","PAGE_DESC":"Datablist는 강력하고 사용하기 쉬운 툴킷으로 데이터의 중복을 제거하고 표준화하며 보강하여 혼란을 명확함으로 바꿉니다.","USE_CASE":"활용 사례","HERO_TITLE":"데이터 클리닝, 자동화.","VIDEO_TITLE":"No-Code 데이터 클리닝 툴 No.1","VIDEO_TEXT":"몇 번의 클릭만으로 데이터를 추출, 변환, 클리닝하세요. 제한이 없고, 더 이상 수식은 필요 없습니다.","HERO_DESC":"지저분한 스프레드시트와 어수선한 CRM과 씨름하지 마세요. Datablist는 강력하고 사용하기 쉬운 툴킷으로 데이터의 중복을 제거하고 표준화하며 보강해, 혼란을 명확함으로 바꿉니다.","MASTER_TITLE":"지저분한 데이터에서 실행 가능한 인사이트로","MASTER_BODY":"부정확한 데이터는 시간과 비용을 낭비하게 합니다. 여러 leads 소스, web scraping으로 수집한 콘텐츠, 팀별 입력이 뒤섞이면 지저분한 데이터가 캠페인 실패와 잘못된 의사결정으로 이어집니다. Datablist는 대규모로 리스트를 클리닝, 통합, 표준화하는 중앙 허브로서, 데이터를 항상 신뢰할 수 있고 즉시 실행 가능한 상태로 유지합니다.","DEDUPE_CRM_TITLE":"CRM과 리스트의 중복을 지능적으로 제거","DEDUPE_CRM_CONTENT_1":"CRM은 진실의 원천이지만, 중복이 생기면 신뢰할 수 없습니다. 'John Smith'와 'Jon Smith', 'Example Inc.'와 'Example LLC'는 혼란을 초래합니다. Datablist는 단순 매칭을 넘어섭니다.","DEDUPE_CRM_CONTENT_2":"고급 알고리즘(퍼지, 발음 기반, 스마트 매칭)으로 유사한 사람과 회사를 찾아 병합하고, 중요한 데이터를 잃지 않으면서 정보를 통합합니다. Pipedrive, HubSpot 또는 어떤 CRM export든 몇 분 만에 클리닝하세요.","MERGE_TITLE":"여러 파일의 데이터를 통합","MERGE_CONTENT_1":"세 개의 서로 다른 스프레드시트에 leads가 있고 다른 파일에 고객 데이터가 있습니다. 더 많은 중복 없이 어떻게 결합할 수 있을까요? 수동으로 파일을 병합하면 느리고 오류가 발생하기 쉽습니다.","MERGE_CONTENT_2":"Datablist가 쉽게 해결합니다. 모든 리스트를 임포트하고 email이나 웹사이트 같은 고유 식별자를 정의하면, 우리의 툴이 레코드를 병합해 줍니다. 여러 소스의 데이터를 하나의 깔끔한 마스터 리스트로 결합합니다.","NORMALIZE_TITLE":"클릭 한 번으로 데이터 표준화 및 정규화","NORMALIZE_CONTENT_1":"일관성 없는 데이터는 사용할 수 없습니다. 형식이 제각각인 전화번호, 대소문자가 섞인 직함, 지저분한 URL은 효과적인 필터링과 자동화를 방해합니다. 이를 행마다 수동으로 고치는 일은 매우 번거롭습니다.","NORMALIZE_CONTENT_2":"Datablist의 대량 편집 툴로 데이터 형식을 바로잡고, 텍스트의 대소문자를 정리하며, 불필요한 공백을 제거하고, 전화번호와 URL을 수천 건의 레코드 전반에 걸쳐 즉시 표준화하세요. 기준을 정하고 전체 데이터셋에 적용하십시오.","CLEANING_GRID_TITLE":"종합 데이터 클리닝 툴킷","CLEANING_GRID_DESC":"지저분한 원시 데이터를 가치 있고 정돈된 자산으로 바꾸는 데 필요한 모든 것.","GRID_DEDUPE_TITLE":"고급 중복 제거","GRID_DEDUPE_BODY":"단순한 스프레드시트로는 처리할 수 없는 스마트, 퍼지, 발음 기반 매칭 알고리즘으로 유사 레코드를 찾아 병합합니다.","GRID_MERGE_TITLE":"리스트 병합 및 통합","GRID_MERGE_BODY":"고유 키를 사용해 레코드를 업데이트하고 통합하면서 여러 CSV 또는 Excel 파일을 하나의 마스터 리스트로 결합합니다.","GRID_FIX_TITLE":"데이터 형식 수정","GRID_FIX_BODY":"정확한 정렬과 필터링을 위해 텍스트 필드를 날짜, 숫자, 체크박스와 같은 구조화된 데이터로 쉽게 변환합니다.","GRID_AI_TITLE":"AI 기반 클리닝","GRID_AI_BODY":"AI Editing 툴을 사용해 간단한 텍스트 prompt에서 맞춤 스크립트를 생성하세요. 코드 작성 없이 복잡한 클리닝 작업을 처리합니다.","GRID_ENRICH_TITLE":"데이터 보강 및 누락 채우기","GRID_ENRICH_BODY":"누락된 데이터로 보강해 레코드를 완성하세요. 회사 도메인을 찾고, email을 검증하며, 프로필 정보를 확보합니다.","GRID_CONSOLIDATE_TITLE":"값 통합","GRID_CONSOLIDATE_BODY":"중복에서 충돌하는 데이터를 병합합니다. 여러 전화번호나 메모를 정보 손실 없이 하나의 깔끔한 레코드로 결합합니다.","LEARN_MORE":"자세히 알아보기","SEE_ALSO":"함께 보기"},"UseCaseInventoryManagement":{"PAGE_TITLE":"이커머스 재고 관리를 자동화하세요","PAGE_DESC":"수동 업데이트에 시간을 낭비하지 마십시오. 강력한 no-code 플랫폼으로 공급업체 카탈로그를 자동으로 가져오고, 정제하고, 번역하고, 모든 판매 채널과 동기화하십시오.","USE_CASE":"활용 사례","HERO_TITLE":"이커머스 재고 관리를 자동화하세요","HERO_DESC":"수동 업데이트에 시간을 낭비하지 마십시오. 강력한 no-code 플랫폼으로 공급업체 카탈로그를 자동으로 가져오고, 정제하고, 번역하고, 모든 판매 채널과 동기화하십시오.","INTRO_TITLE":"지저분한 카탈로그에서 완벽한 상품 목록으로","INTRO_BODY":"여러 공급업체의 제품 데이터를 관리하는 일은 형식 불일치, 중복 항목, 끝없는 수동 수정으로 가득한 악몽입니다. Datablist는 이 혼란을 간결하고 자동화된 workflow로 전환하여 재고가 항상 정확하고 최신이며 어떤 마켓플레이스에도 완벽하게 맞는 형식이 되도록 보장합니다.","VIDEO_TITLE":"AI 편집을 직접 확인하세요","VIDEO_TEXT":"간단한 prompt로 카탈로그 단위를 업데이트하는 방법을 확인하세요. 수식도 번거로움도 없습니다.","FETCH_TITLE":"공급업체 카탈로그를 자동으로 가져오기","FETCH_CONTENT_1":"수동 다운로드와 지저분한 email 첨부 파일은 잊으십시오. URL, FTP 서버, API 등 어떤 소스에서든 카탈로그 파일을 가져오도록 자동 가져오기를 설정하십시오. 일간, 주간, 월간으로 스케줄링하여 데이터를 항상 최신 상태로 유지하세요.","FETCH_CONTENT_2":"스마트 스크레이퍼가 공급업체 웹사이트에서 제품 데이터를 직접 추출하여, 수동 개입 없이 최신 정보를 지속적으로 받아볼 수 있습니다.","TRANSFORM_TITLE":"AI로 데이터 변환 및 표준화","TRANSFORM_CONTENT_1":"공급업체 데이터는 대부분 스토어에 바로 사용할 준비가 되어 있지 않습니다. no-code 클리닝 도구 모음을 사용해 카테고리를 표준화하고, 브랜드명의 법적 접미사를 제거하며, 가격 형식을 통일하고, 중복을 병합하십시오.","TRANSFORM_CONTENT_2":"AI 기반 변환으로 한 단계 더 나아가십시오. 매력적인 제품 설명을 자동 생성하고, 국제 시장을 위한 콘텐츠를 번역하며, 모든 리스팅이 전환에 최적화되도록 보장합니다.","SYNC_TITLE":"모든 이커머스 플랫폼·마켓플레이스와 동기화","SYNC_CONTENT_1":"데이터가 정제되고 표준화되면 판매하는 모든 곳으로 푸시하십시오. Datablist는 Shopify, WooCommerce, Amazon 등을 포함한 어떤 대상에도 카탈로그를 원활하게 준비합니다.","SYNC_CONTENT_2":"시스템은 모든 동기화에 대해 명확한 상태 업데이트를 제공하고, 실패 시 자동 재시도합니다. 신뢰할 수 있는 단일 Source of Truth에서 전체 멀티채널 운영을 관리하십시오.","BENEFITS_TITLE":"자동화된 재고 workflow의 힘","BENEFITS_SCALE_TITLE":"대규모 카탈로그 처리","BENEFITS_SCALE_BODY":"수십만에서 수백만 개에 이르는 상품 목록도 무리 없이 관리하십시오. 당사 플랫폼은 성능과 확장성에 맞춰 설계되었습니다.","BENEFITS_FLEXIBLE_TITLE":"유연하고 설정이 간편","BENEFITS_FLEXIBLE_BODY":"직관적인 no-code 인터페이스로 복잡한 데이터 변환 workflow를 몇 주가 아닌 몇 분 만에 구성할 수 있습니다. 개발자는 필요 없습니다.","BENEFITS_RELIABLE_TITLE":"신뢰성과 자동화","BENEFITS_RELIABLE_BODY":"workflow를 한 번 설정하고 그대로 실행되도록 두십시오. 명확한 상태 추적과 재시도 가능한 동기화를 통해 데이터가 늘 필요한 곳에 있음을 신뢰할 수 있습니다.","BENEFITS_COST_TITLE":"비용 대비 강력한 성능","BENEFITS_COST_BODY":"크레딧 기반 시스템을 활용해 사용한 만큼만 지불하십시오. 기존 솔루션 대비 일부 비용으로 엔터프라이즈급 자동화를 확보하십시오.","TRANSLATE_TITLE":"글로벌 시장을 위한 제품 카탈로그 번역","TRANSLATE_CONTENT_1":"Datablist의 AI로 제품 카탈로그를 자동 번역하여 이커머스의 해외 시장 도달 범위를 확장하십시오. 단순 번역을 넘어 현지 고객의 실제 검색 방식에 맞게 제품명을 로컬라이징하십시오.","TRANSLATE_CONTENT_2":"당사의 AI는 설명과 사양의 핵심 HTML 및 JSON 구조를 보존하여 Shopify나 WooCommerce 등으로 재업로드할 때 기술적 오류를 방지합니다. 이 강력한 no-code 솔루션은 기존 도구 대비 적은 비용으로 글로벌 확장을 지원합니다.","TRANSLATE_CTA":"제품 카탈로그를 번역하는 방법","FILTER_TITLE":"규모와 관계없이 어떤 카탈로그도 심층 탐색","FILTER_CONTENT_1":"재고 규모 때문에 계속 다운되는 스프레드시트와 씨름하지 마십시오. Datablist는 최대 150만 개 항목의 대규모 제품 카탈로그를 처리하도록 설계되어 Airtable이나 Google Sheets 같은 도구의 한계를 훨씬 뛰어넘습니다.","FILTER_CONTENT_2":"강력한 필터링 도구로 필요한 항목을 신속하고 정확하게 찾으십시오. AND/OR 로직과 필터 그룹으로 여러 조건을 결합해 단순 검색을 넘어 고급 쿼리를 수행하십시오. 최상의 정밀도를 위해 SKU, 제목, 설명의 특정 패턴을 기준으로 제품을 찾는 정규식(Regular Expressions)을 활용하십시오.","FILTER_CONTENT_3":"같은 작업을 반복하지 마십시오. 복잡한 필터 조합은 언제든지 나중에 빠르게 접근할 수 있도록 사용자 지정 \"Segment\"로 저장할 수 있습니다. 이렇게 저장한 필터는 \"신상품\"이나 \"프로모션 상품\" 같은 동적 리스트를 만드는 데 이상적이며, 팀과 자동으로 공유되어 모두가 동일한 뷰에서 작업하도록 보장합니다.","SEE_ALSO":"관련 항목"},"UseCaseLeadBuilding":{"PAGE_TITLE":"그로스 팀을 위한 Lead Building","PAGE_DESC":"대용량 lead list를 깊이 파고드는 최고의 툴. 정리하고 보강하여 최적의 잠재 고객을 찾으세요.","HERO_TITLE":"그로스 팀을 위한 Lead List Building","USE_CASE":"활용 사례","HERO_DESC":"대용량 lead list를 깊이 파고드는 최고의 툴. 정리하고 보강하여 최적의 잠재 고객을 찾으세요.","MASTER_TITLE":"대량의 leads 관리","MASTER_BODY":"Datablist는 수백만 개 항목을 관리하도록 설계되었습니다. Lead 데이터 구조를 정의하고, 개방적이고 개발자 친화적인 플랫폼에서 데이터를 자유롭게 다루세요. 스프레드시트 같은 인터페이스로 leads를 조직화하거나, API로 복잡한 데이터 플랫폼을 구축하세요. 대용량 lead list에서 연락할 가치가 있는 양질의 leads를 발굴할 수 있습니다.","CRM_TITLE":"Sales CRM 이전 단계에서 lead lists 구축","CRM_CONTENT_1":"CRM 도구는 참여 중인 잠재 고객을 추적하는 데는 완벽하지만, 수십만 개의 leads에는 적합하지 않습니다. 그로스 팀에는 대용량 leads를 통합·관리하기 위한 상위 데이터 저장소가 필요합니다.","CRM_CONTENT_2":"콜드 leads를 CRM에 보관하는 것은 CRM을 오염시키고 비싼 청구서를 받는 지름길입니다.","DATABASE_TITLE":"커스텀 데이터베이스에 leads를 저장하는 일을 멈추세요","DATABASE_CONTENT_1":"지금 leads를 커스텀 데이터베이스, Excel, Airtable 또는 데이터 웨어하우스에 보관하고 계신가요? 그중 하나를 선택하는 것은 곧 타협을 의미합니다. 확장성 대신 유연성, 혹은 단순성 대신 복잡성을 택해야 합니다.","DATABASE_CONTENT_2":"Datablist는 커스텀 데이터베이스의 파워와 Airtable의 유연성을 함께 제공합니다. 어떤 타협도 없이 시간과 비용을 절감하세요.","NOCODE_TITLE":"쉽지만 개발자 친화적인 툴","NOCODE_CONTENT_1":"스프레드시트 같은 인터페이스로 leads를 관리하세요. 강력한 필터링과 검색으로 수십만 leads를 몇 초 만에 탐색할 수 있습니다.","NOCODE_CONTENT_2":"Datablist에서 CSV 파일은 최우선으로 취급됩니다. 대용량 CSV를 가져오고 고유 식별자와 결합해 lead lists를 만드세요. 귀하의 데이터는 전적으로 귀하의 것입니다. 클릭 한 번으로 leads를 CSV로 내보내 다른 툴과 함께 사용할 수 있습니다.","NOCODE_CONTENT_3":"더 나아가고 싶으신가요? 오픈 API에 연결된 서버리스 함수로 데이터 흐름을 자동화하세요.","CENTRALIZE_TITLE":"모든 lead 소스를 하나의 데이터 저장소로 중앙집중화","CENTRALIZE_SCRAPING_TITLE":"스크래핑 데이터의 최종 목적지","CENTRALIZE_SCRAPING_CONTENT_1":"외부 소스에서 데이터를 추출해 데이터 저장소에 보관하세요.","CENTRALIZE_SCRAPING_CONTENT_2":"소셜 네트워크(LinkedIn, Facebook, Xing), 비즈니스 디렉터리(Crunchbase, AngelList), 온라인 커뮤니티 등에서 leads를 스크래핑하세요.","CENTRALIZE_NEWSLETTER_TITLE":"뉴스레터 구독자","CENTRALIZE_NEWSLETTER_CONTENT_1":"메일링 리스트 구독자를 추적하고 보강하여 가치 높은 잠재 고객을 발굴하세요.","CENTRALIZE_NEWSLETTER_CONTENT_2":"메일링 리스트 웹훅으로 사용 데이터를 수집하고 참여도가 높은 leads를 찾아보세요.","CENTRALIZE_SIGNUP_TITLE":"신규 사용자 정보 보강","CENTRALIZE_SIGNUP_CONTENT_1":"일회용 또는 업무용 email 주소를 사용하는 사용자를 감지하세요. 신규 사용자 정보를 자동으로 보강하고 LinkedIn 프로필을 찾아, 잠재력이 높은 사용자와 연결하세요.","CENTRALIZE_SIGNUP_CONTENT_2":"제품 사용 데이터를 연결해 Customer Data Platform(CDP)을 구축하세요.","CENTRALIZE_MAGNET_TITLE":"Lead Magnet 다운로드 저장","CENTRALIZE_MAGNET_CONTENT_1":"화이트페이퍼 다운로드, 웨비나, 오프라인 이벤트 등에서 발생한 모든 신규 leads를 단일 리스트에 저장하세요.","CENTRALIZE_MAGNET_CONTENT_2":"수동으로 또는 통합 Enrichment API로 보강해 기회를 포착하세요.","ENRICH_TITLE":"leads를 정리하고 보강하세요","ENRICH_COMPANIES_TITLE":"회사 및 프로필 보강","ENRICH_COMPANIES_BODY":"통합 Enrichment 서비스로 완전한 프로필 정보를 얻으세요. email 주소로 LinkedIn 계정을 찾거나, leads의 이름으로 email 주소를 찾을 수 있습니다. 어떤 서비스에서든 대규모로 보강하거나, 귀하의 자체 서비스를 연결하세요.","CLEAN_TITLE":"데이터를 정리하세요","CLEAN_BODY":"Datablist의 읽기/쓰기 데이터 저장소로 데이터를 항상 신선하게 유지하세요. Data Cleansing 기능으로 leads를 대량 정리합니다. email 주소를 검증해 일회용 email 제공업체를 찾아내고 캠페인에서 제외하세요.","DEDUPLICATE_TITLE":"leads 중복 제거","DEDUPLICATE_BODY":"Datablist Duplicates Finder로 중복 leads를 순식간에 제거하세요. 하나 이상의 속성을 선택해 자동으로 중복을 제거합니다. Datablist Merge Assistant로 충돌 데이터를 병합하세요.","MERGE_TITLE":"고유한 lead 프로필 생성","MERGE_BODY":"lead의 email 주소 또는 회사 웹사이트를 기준으로 고유성을 정의해 유일한 lead 프로필을 만드세요. 고유 속성을 활용해 lead 데이터를 업데이트하거나 외부 리스트를 통합하세요.","SEE_ALSO":"함께 보기","DATA_SOURCES":"데이터 & Lead 소스","DATA_SOURCES_DESCRIPTION":"강력한 내장형 lead 소스로 파이프라인을 강화하세요!","AI_RESEARCH_AGENT":"AI Research Agent","AI_RESEARCH_AGENT_DESCRIPTION":"간단한 하나의 prompt로 항목에 대한 리서치를 스케일하거나 자동화된 Google 검색을 설정하세요.","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESCRIPTION":"쉽게 사용할 수 있는 enrichments로 강력한 workflow를 만드세요"},"IndustryRecruiting":{"PAGE_TITLE":"더 스마트한 리크루팅은 여기서 시작됩니다","PAGE_DESC":"리크루팅 에이전시를 위한 필수 노코드 플랫폼입니다. 채용 공고를 스크래핑하고, 회사 데이터를 보강(Enrichment)하며, 채용 담당자의 직접 연락처 정보를 찾으세요.","HERO_TITLE":"더 스마트한 리크루팅은 여기서 시작됩니다","INDUSTRY_LABEL":"산업 분야","HERO_DESC":"리크루팅 에이전시를 위한 필수 노코드 플랫폼입니다. 채용 공고를 스크래핑하고, 회사 데이터를 보강(Enrichment)하며, 채용 담당자의 직접 연락처 정보를 찾으세요.","WHY_DATABLIST_TITLE":"검색은 멈추고, 채용 성사를 시작하세요.","WHY_DATABLIST_BODY":"수동 소싱은 느리고 반복적이며 결과가 들쑥날쑥합니다. Datablist는 신규 클라이언트와 후보자 소싱의 가장 번거로운 부분을 자동화하여, 관계 구축과 채용 성사에 집중할 수 있도록 해드립니다.","FIND_JOBS_TITLE":"모든 채용 기회를 발굴하세요","FIND_JOBS_CONTENT_1":"leads를 절대 놓치지 마세요. AI Scraper로 LinkedIn, Indeed 같은 채용 사이트나 타깃 회사의 채용 페이지 목록에서 채용 공고를 추출하세요.","FIND_JOBS_CONTENT_2":"키워드와 전문 분야에 맞는 오픈 포지션의 실시간 데이터베이스를 손쉽게 구축하여, 자격을 갖춘 클라이언트 leads를 지속적으로 확보하세요.","FIND_CONTACTS_TITLE":"정확한 의사결정권자를 찾아내세요","FIND_CONTACTS_CONTENT_1":"채용 공고는 시작에 불과합니다. Datablist는 회사 데이터를 보강해 직함 뒤의 사람을 드러냅니다. 타깃 회사 내 부서장, 팀 리드, 채용 매니저를 식별하세요.","FIND_CONTACTS_CONTENT_2":"목록을 직함, 부서, 직급별로 세분화하여 outreach가 항상 채용 권한이 있는 사람에게 도달하도록 하세요.","GET_DETAILS_TITLE":"즉시, 직접 연결하세요","GET_DETAILS_CONTENT_1":"연락처 정보를 찾느라 시간을 낭비하지 마세요. 강력한 Waterfall Enrichment가 타깃 연락처의 검증된 업무용 email 주소와 전화번호를 찾아드립니다.","GET_DETAILS_CONTENT_2":"더 높은 성공률과 비용 효율적인 크레딧 기반 모델로, 그 어느 때보다 빠르고 합리적인 비용으로 실행 가능한 연락처 목록을 구축할 수 있습니다.","BENEFITS_TITLE":"에이전시를 위한 압도적 경쟁 우위","EASY_USE_TITLE":"몇 분 만에 시작하세요","EASY_USE_BODY":"스프레드시트 같은 직관적 인터페이스로 바로 시작하세요. 강력한 소싱 workflow를 구축하는 데 기술 역량은 필요하지 않습니다.","FLEXIBLE_TITLE":"귀하의 Workflow, 귀하의 방식대로","FLEXIBLE_BODY":"타깃 스크래핑부터 Enrichment 시퀀스까지 모든 단계를 커스터마이즈하세요. Datablist는 귀하의 고유한 소싱 전략에 맞춰 작동합니다. 그 반대가 아닙니다.","COST_EFFECTIVE_TITLE":"사용량 기반 결제의 강력함","COST_EFFECTIVE_BODY":"크레딧 기반 시스템으로 사용한 만큼만 지불합니다. 1인 리크루터부터 대형 팀까지 모든 규모의 에이전시에 적합합니다.","ALL_IN_ONE_TITLE":"모든 기능을 한 곳에서","ALL_IN_ONE_BODY":"스크래핑과 데이터 클렌징부터 Enrichment와 내보내기까지. 여러 툴을 오가지 않고 클라이언트와 후보자의 전체 데이터 파이프라인을 관리하세요.","SEE_ALSO":"관련 항목","AI_SCRAPER":"AI Scraper","AI_SCRAPER_DESCRIPTION":"간단한 prompt만으로 어떤 웹사이트에서도 구조화된 데이터를 추출하세요. job board, 회사 페이지 등 다양한 용도에 적합합니다.","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESCRIPTION":"회사 및 연락처 데이터를 위한 손쉬운 Enrichment로 강력한 workflow를 구성하세요.","FAQ_Q1":"Datablist는 채용 공고를 어떻게 찾나요?","FAQ_A1":"Job Postings Scraper가 Indeed, Glassdoor를 포함한 19개 이상 주요 job board를 스캔합니다. 또한 AI Agent로 특정 회사의 채용 페이지나 틈새 job board를 자동으로 스크래핑하여, 지속적인 클라이언트 기회를 제공합니다.","FAQ_Q2":"채용 담당자의 연락처 정보는 어떻게 찾나요?","FAQ_A2":"회사 목록이 준비되면, 당사의 Waterfall People Search Enrichment가 해당 조직 내 적합한 연락처를 찾아냅니다. 직함, 직급, 부서로 검색하여 의사결정권자를 정확히 특정할 수 있습니다.","FAQ_Q3":"연락처 정보는 정확하고 검증되었나요?","FAQ_A3":"예. 당사의 Waterfall Email Finder와 Phone Finder는 여러 데이터 제공처를 조회하여 검증된 업무용 email 주소와 직통 전화번호를 찾습니다. 이 멀티 소스 방식은 단일 제공업체 툴보다 더 높은 성공률을 제공합니다.","FAQ_Q4":"귀하의 스크래퍼를 사용하면 제 LinkedIn 계정에 위험이 있나요?","FAQ_A4":"아니요. 브라우저 확장 프로그램과 달리, 당사 스크래퍼는 클라우드에서 동작하며 개인 LinkedIn 자격 증명을 요구하지 않습니다. 따라서 계정은 제한이나 차단으로부터 100% 안전합니다.","FAQ_Q5":"비용은 얼마나 드나요?","FAQ_A5":"Datablist는 유연한 사용량 기반 크레딧 시스템을 사용합니다. 확보한 데이터에 대해서만 비용을 지불합니다. 예를 들어, $20 크레딧 충전만으로도 수천 건의 채용 공고를 스크래핑할 수 있습니다. 이 모델은 선투자 없이 소싱을 확장해야 하는 모든 규모의 에이전시에 적합합니다.","FAQ_Q6":"특정 산업이나 지역의 채용만 타깃팅할 수 있나요?","FAQ_A6":"예. 당사의 job scraper에는 키워드, 산업, 회사 규모, 지역, 직급 수준별로 채용 공고를 타깃팅할 수 있는 고급 필터가 포함되어 있습니다. 리크루팅 에이전시는 제외하고 직고용 기업만 집중 대상으로 설정할 수도 있습니다.","FAQ_Q7":"후보자 목록이 엉망입니다. Datablist로 클린업이 가능할까요?","FAQ_A7":"물론입니다. Datablist에는 강력한 데이터 클렌징과 중복 제거 도구가 포함되어 있습니다. 서로 다른 소스에서 온 중복 연락처를 손쉽게 병합하고, 직함을 표준화하며, 복잡한 수식 없이도 데이터를 원하는 형식으로 정리할 수 있습니다.","FAQ_Q8":"소싱 프로세스를 자동화할 수 있나요?","FAQ_A8":"예. job scraper를 매일, 매주, 매월 실행하도록 스케줄링할 수 있습니다. Datablist가 귀하의 기준에 맞는 새로운 채용 공고를 자동으로 찾아 지속적으로 신선한 leads를 제공합니다."},"IndustryVentureCapital":{"PAGE_TITLE":"현대 VC를 위한 운영 시스템","PAGE_DESC":"AI 기반 데이터 플랫폼으로 수천 개의 스타트업을 소싱, 스크리닝, 트래킹하세요. 지저분한 스프레드시트와 경직된 CRM은 이제 그만. Datablist로 딜 플로우 엔진을 구축하세요.","INDUSTRY_LABEL":"산업 분야","HERO_TITLE":"현대 VC를 위한 운영 시스템","HERO_DESC":"AI 기반 데이터 플랫폼으로 수천 개의 스타트업을 소싱, 스크리닝, 트래킹하세요. 지저분한 스프레드시트와 경직된 CRM은 이제 그만. Datablist로 딜 플로우 엔진을 구축하세요.","WHY_DATABLIST_TITLE":"귀사의 CRM은 벤처캐피탈을 위해 만들어지지 않았습니다","WHY_DATABLIST_BODY":"CRM은 딜 플로우가 아니라 세일즈 파이프라인을 위한 도구입니다. 경직되어 있고 비용이 많이 들며, 레이더에 올려둔 수천 개의 초기 단계 회사를 제대로 트래킹하지 못합니다. Datablist는 VC 고유의 데이터 과제를 관리하도록 설계된 유연하고 확장 가능한 데이터 허브입니다.","SOURCE_DEALS_TITLE":"모두가 알기 전에 딜을 소싱하세요","SOURCE_DEALS_CONTENT_1":"네트워크와 인바운드 요청을 넘어가세요. AI Scraper를 사용해 ProductHunt, IndieHackers 등 니치 디렉터리에서 유망한 스타트업을 소싱하세요.","SOURCE_DEALS_CONTENT_2":"주류가 되기 전에 고잠재 기업을 먼저 식별하고, 떠오르는 트렌드를 트래킹해 우위를 확보하세요.","TRACK_COMPANIES_TITLE":"투자 라운드만이 아니라 성장 시그널을 트래킹하세요","TRACK_COMPANIES_CONTENT_1":"투자는 성공의 후행 지표입니다. 실제로 중요한 실시간 성장 시그널을 트래킹하세요. 당사의 채용 보드 스크레이퍼는 어떤 스타트업이 핵심 포지션을 채용 중인지 식별합니다—제품-시장 적합성(PMF)과 스케일링의 분명한 신호입니다.","TRACK_COMPANIES_CONTENT_2":"채용 트렌드를 모니터링해 기업의 성장 궤적을 평가하고 데이터에 기반한 투자 결정을 내리세요.","SCORE_STARTUPS_TITLE":"AI로 커스텀 스코어링 모델을 구축하세요","SCORE_STARTUPS_CONTENT_1":"직감에만 의존하지 마세요. AI Editing 도구로 강력한 커스텀 스코어링 알고리즘을 구축하세요. 팀 경험, 기술 스택, 시장 시그널, 귀하만의 기준에 따라 스타트업을 랭킹하세요.","SCORE_STARTUPS_CONTENT_2":"파이프라인에서 상위 1%의 기회를 체계적으로 식별하고 팀의 에너지를 그곳에 집중하세요.","DILIGENCE_TITLE":"실사와 트래킹에 필요한 모든 도구","FEATURE_DATA_TITLE":"데이터 통합","FEATURE_DATA_BODY":"여러 소스의 데이터를 정제하고 중복을 제거해 병합하여 하나의 마스터 리스트로 만드세요. 스타트업 데이터베이스를 깔끔하고 신뢰할 수 있게 유지하세요.","FEATURE_ENRICH_TITLE":"회사 Enrichment","FEATURE_ENRICH_BODY":"퍼모그래픽스, 기술 스택, 웹사이트 데이터 등을 활용해 회사 프로필을 자동 Enrichment하여 360도 관점을 확보하세요.","FEATURE_CONTACTS_TITLE":"Founder Outreach","FEATURE_CONTACTS_BODY":"Waterfall Enrichment로 창업자와 주요 임원의 검증된 email과 전화번호를 찾으세요. 첫 접촉을 의미 있게 만드세요.","FEATURE_API_TITLE":"API & Integrations","FEATURE_API_BODY":"Datablist를 내부 도구와 연결하고, 유연하고 개발자 친화적인 API로 전체 데이터 workflow를 자동화하세요.","SEE_ALSO":"함께 보기","VIDEO_TITLE":"AI Agent 시연 보기","VIDEO_TEXT":"AI Agent가 스타트업 웹사이트 목록을 방문해 구조화된 연락처 정보를 추출하는 과정을 확인하세요. 전통적인 스크레이퍼로는 불가능했던 작업입니다.","FAQ_Q1":"Datablist는 기존 CRM과 어떤 점이 다른가요?","FAQ_A1":"CRM은 선형적인 세일즈 프로세스를 위해 설계되어 수천 건의 잠재 딜을 트래킹하면 금세 어지러워집니다. Datablist는 VC 딜 플로우의 규모와 복잡성을 위해 만들어진 유연한 데이터 허브로, 세일즈 파이프라인의 경직성 없이 방대한 스타트업 데이터를 관리할 수 있습니다.","FAQ_Q2":"Datablist로 새로운 스타트업을 소싱할 수 있나요?","FAQ_A2":"가능합니다. AI Agent로 ProductHunt나 IndieHackers와 같은 스타트업 디렉터리를 web scraping하여 모두의 레이더에 오르기 전에 유망 기업을 찾을 수 있습니다. 이를 통해 고잠재 딜을 일찍 발견할 수 있습니다.","FAQ_Q3":"어떤 성장 시그널을 트래킹할 수 있나요?","FAQ_A3":"투자 발표에만 의존하는 대신 실시간 성장 지표를 트래킹할 수 있습니다. 당사의 채용 보드 스크레이퍼는 핵심 포지션을 적극 채용 중인 스타트업을 찾아내며, 이는 성장과 제품-시장 적합성의 강력한 시그널입니다.","FAQ_Q4":"AI 스코어링 모델은 어떻게 작동하나요?","FAQ_A4":"AI 도구로 커스텀 스코어링 모델을 구축할 수 있습니다. 팀 경험, 기술 스택, 시장 트렌드 등 귀하의 투자 테제에 중요한 기준을 정의하면, AI가 파이프라인의 모든 스타트업을 랭킹하는 스크립트를 생성해 상위 기회에 집중하도록 돕습니다.","FAQ_Q5":"데이터가 지저분하고 여러 스프레드시트에 흩어져 있습니다. 어떻게 도와줄 수 있나요?","FAQ_A5":"Datablist는 데이터 통합에 강합니다. 여러 소스에서 데이터를 가져온 뒤, 정제·중복 제거·병합하여 신뢰할 수 있는 단일 스타트업 마스터 리스트로 만들 수 있습니다.","FAQ_Q6":"Datablist는 수천 개의 회사를 어떻게 처리하나요? 느리지 않을까요?","FAQ_A6":"Datablist는 대규모 데이터셋 관리를 위해 설계되었습니다. 리스트당 최대 150만 레코드를 처리하여 스프레드시트나 Airtable 같은 도구의 한계를 크게 뛰어넘습니다. 성능 저하 없이 수천 개 회사를 빠르게 필터링, 정렬, 관리할 수 있습니다.","FAQ_Q7":"창업자의 연락처 정보를 찾는 데도 도와주나요?","FAQ_A7":"네. 유망한 스타트업을 확인했다면, Waterfall Enrichment 도구로 창업자와 핵심 팀원의 검증된 email 주소와 전화번호를 찾아 초기 outreach의 효과를 높일 수 있습니다.","FAQ_Q8":"Datablist를 사용하려면 개발자가 필요한가요?","FAQ_A8":"아닙니다. Datablist는 사용하기 쉬운 스프레드시트 인터페이스를 갖춘 노코드 플랫폼입니다. 소싱부터 스코어링까지 복잡한 데이터 workflow를 코드 작성 없이 구축할 수 있습니다."},"IndustryRetailAndECommerce":{"PAGE_TITLE":"리테일 및 이커머스 운영을 효율화하세요","PAGE_DESC":"제품 카탈로그, 공급사 피드, 고객 데이터를 손쉽게 관리하세요. Datablist는 리테일과 이커머스 비즈니스를 위한 유연한 no-code 플랫폼입니다.","HERO_TITLE":"리테일 및 이커머스 운영을 효율화하세요","INDUSTRY":"산업","HERO_DESC":"제품 카탈로그, 공급사 피드, 고객 데이터를 손쉽게 관리하세요. Datablist는 리테일과 이커머스 비즈니스를 위한 유연한 no-code 플랫폼입니다.","MASTER_TITLE":"이커머스 데이터의 중앙 허브","MASTER_BODY":"여러 스프레드시트와 복잡한 데이터베이스를 넘나드는 일을 멈추세요. Datablist는 모든 이커머스 데이터를 관리할 수 있는 하나의, 사용하기 쉬운 플랫폼을 제공합니다. 유연한 no-code 인터페이스와 크레딧 기반 가격 정책으로 모든 규모의 비즈니스에 비용 효율적인 솔루션을 제공합니다.","PRODUCT_CATALOG_TITLE":"제품 카탈로그 통합 및 정리","PRODUCT_CATALOG_CONTENT_1":"어떤 소스에서든 제품 데이터를 가져와 하나의 깔끔한 카탈로그로 통합하세요. 강력한 데이터 클리닝 도구로 단위와 가격을 표준화하고, 설명의 HTML까지 정리할 수 있습니다.","PRODUCT_CATALOG_CONTENT_2":"Datablist로 수천 개의 제품을 손쉽게 관리하고, 데이터의 정확성과 최신성을 항상 유지할 수 있습니다.","SUPPLIER_FEEDS_TITLE":"공급사 피드 자동화","SUPPLIER_FEEDS_CONTENT_1":"공급사 가격 및 재고 피드를 자동으로 가져와 재고를 동기화하세요. Datablist는 외부 API에 연결하여 공급사 시스템과 쉽게 연동할 수 있습니다.","SUPPLIER_FEEDS_CONTENT_2":"이 중요한 운영 프로세스를 자동화하여 시간을 절약하고 오류를 줄이세요.","FEATURES_TITLE":"성공에 필요한 모든 것","CONSOLIDATE_PRODUCT_CATALOG_TITLE":"제품 카탈로그 통합","CONSOLIDATE_PRODUCT_CATALOG_BODY":"여러 공급사와 다양한 소스의 제품 데이터를 하나의 마스터 카탈로그로 병합하세요.","CLEAN_DATA_TITLE":"데이터 정리","CLEAN_DATA_BODY":"단위, 가격, HTML 등을 포함한 제품 정보를 표준화하고 정리하여 일관되고 전문적인 모습을 유지하세요.","TRANSLATE_PRODUCT_TITLE":"제품 정보 번역","TRANSLATE_PRODUCT_BODY":"글로벌 고객을 위해 제품명과 설명을 손쉽게 번역하세요.","GENERATE_PRODUCT_TEXT_TITLE":"AI로 제품 텍스트 생성","GENERATE_PRODUCT_TEXT_BODY":"AI를 활용해 매력적인 제품 설명 등 텍스트를 생성하여 시간과 노력을 절감하세요.","SYNC_TO_EXTERNAL_APIS_TITLE":"외부 API로 동기화","SYNC_TO_EXTERNAL_APIS_BODY":"데이터를 외부 API로 동기화하여 다른 툴과 시스템과 연동하세요.","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_TITLE":"공급사 피드 가져오기","FETCH_SUPPLIER_PRICE_STOCK_FEEDS_BODY":"공급사로부터 최신 가격 및 재고 피드를 가져와 제품 정보를 자동으로 업데이트하세요.","AGGREGATE_ORDER_FEEDS_TITLE":"주문 피드 집계","AGGREGATE_ORDER_FEEDS_BODY":"모든 채널의 주문 피드를 집계하여 판매 현황을 한눈에 파악하세요.","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_TITLE":"고객 및 오디언스 리스트 관리","MANAGE_CUSTOMER_AND_AUDIENCE_LIST_BODY":"더 효과적인 마케팅 캠페인을 위해 고객 및 오디언스 리스트를 깨끗하고 체계적으로 유지하세요.","FAQ_Q1":"제품 데이터가 여러 공급사에서 다양한 포맷으로 와서 엉망입니다. Datablist가 어떻게 도와줄 수 있나요?","FAQ_A1":"Datablist는 이러한 문제를 해결하도록 설계되었습니다. 여러 개의 CSV 또는 Excel 파일에서 제품 데이터를 하나의 마스터 카탈로그로 가져올 수 있습니다. 이후 Duplicates Finder가 중복 제품 목록을 병합하도록 도와주며, 재고 수량과 같은 숫자 값도 자동으로 합산할 수 있습니다.","FAQ_Q2":"Datablist로 HTML이나 JSON 포맷을 깨뜨리지 않고 제품 설명을 번역할 수 있나요?","FAQ_A2":"네. ChatGPT와 같은 모델을 사용하는 AI 기반 번역기는 복잡한 콘텐츠도 처리합니다. 사용자 정의 지침을 제공하여 HTML 태그와 JSON 구조를 모두 보존한 채 텍스트만 번역하도록 설정할 수 있어, 이커머스 카탈로그에 최적입니다.","FAQ_Q3":"대규모 제품 카탈로그 때문에 스프레드시트가 자꾸 멈춥니다. Datablist는 몇 개의 제품까지 처리할 수 있나요?","FAQ_A3":"스프레드시트는 대용량 데이터셋에 취약하지만, Datablist는 확장성을 고려해 구축되었습니다. 컬렉션당 최대 150만 개의 아이템으로 구성된 제품 카탈로그도 손쉽게 관리할 수 있으며, Airtable이나 Google Sheets 같은 툴의 한계를 훨씬 뛰어넘습니다.","FAQ_Q4":"Shopify나 WooCommerce 같은 플랫폼에서 카탈로그를 어떻게 가져오나요?","FAQ_A4":"Shopify, WooCommerce와 같은 이커머스 플랫폼에서는 제품 카탈로그를 CSV 파일로 내보낼 수 있습니다. 해당 CSV 파일을 Datablist로 바로 가져와 데이터 클리닝, 보강(enrichment), 번역 작업을 시작하세요.","FAQ_Q5":"공급사의 가격과 재고 업데이트를 자동으로 가져올 수 있나요?","FAQ_A5":"네. 공급사가 API로 데이터를 제공한다면, 당사의 '원격 CSV 또는 JSON 파일에서 가져오기' 데이터 소스를 사용해 제품 정보를 자동으로 가져오고 업데이트할 수 있습니다. 수작업 없이도 재고와 가격을 항상 동기화할 수 있습니다.","FAQ_Q6":"여러 고객사의 카탈로그를 관리하는 이커머스 에이전시에 Datablist가 적합한 도구인가요?","FAQ_A6":"물론입니다. 고객사별 제품 카탈로그를 개별 컬렉션으로 만들고 폴더로 구성해 손쉽게 관리할 수 있습니다. 모든 데이터 클리닝 및 관리 작업을 위한 중앙의 효율적인 허브가 됩니다.","FAQ_Q7":"가격이나 설명의 HTML 등 일관되지 않은 제품 데이터를 어떻게 정리할 수 있나요?","FAQ_A7":"Datablist는 제품 카탈로그에 최적화된 다양한 데이터 클리닝 도구를 제공합니다. HTML 태그가 포함된 텍스트를 깔끔한 일반 텍스트로 변환하고, 구분자가 다른 숫자를 정규화하며, 불필요한 공백을 제거하고, 대소문자를 변경해 데이터의 일관성을 보장할 수 있습니다.","FAQ_Q8":"AI가 고유한 제품 설명 작성에 도움을 줄 수 있나요?","FAQ_A8":"네. 'Ask ChatGPT' enrichment를 사용해 제품 특성에서 매력적인 제품 설명을 생성할 수 있습니다. 시간을 절약하고 대규모로 차별화된 콘텐츠를 만들 수 있습니다."},"IndustrySaaSAI":{"PAGE_TITLE":"SaaS & AI 스타트업을 위한 GTM 코파일럿","PAGE_DESC":"지저분한 스프레드시트와 비싼 툴을 더 이상 붙잡지 마세요. Datablist는 leads를 소싱하고 정제하고 enrichment까지 처리하는 올인원 플랫폼이므로, 귀하는 딜 성사에 집중할 수 있습니다.","HERO_TITLE":"SaaS & AI 스타트업을 위한 GTM 코파일럿","INDUSTRY_LABEL":"산업군","HERO_DESC":"지저분한 스프레드시트와 비싼 툴을 더 이상 붙잡지 마세요. Datablist는 leads를 소싱하고 정제하고 enrichment까지 처리하는 올인원 플랫폼이므로, 귀하는 딜 성사에 집중할 수 있습니다.","MASTER_TITLE":"세일즈 엔진을 더 빠르게 구축하세요","MASTER_BODY":"스타트업에게 속도가 전부입니다. 검증된 leads의 지속적인 유입이 필요하지만, 세일즈 파이프라인을 구축하는 일은 시간이 많이 듭니다. Datablist는 사용하기 쉬운 no-code 플랫폼 하나로 잠재고객 발굴부터 개인화된 outreach까지 전체 프로세스를 간소화합니다.","PROBLEM_TITLE":"문제는 제품이 아니라 Lead Gen입니다","PROBLEM_CONTENT_1":"데이터를 스크래핑하고, 리스트를 구매하고, CRM에서 내보내기를 해도 결국 데이터는 뒤죽박죽이 됩니다. 스프레드시트는 다운되고, 데이터는 금세 오래되고, 팀은 판매 대신 수작업 입력에 시간을 낭비합니다.","PROBLEM_CONTENT_2":"커스텀 데이터베이스는 리소스를 소모하고, 목적별 툴을 여러 개 구독하면 비용이 순식간에 커집니다. 이런 비효율이 딜을 잃게 만듭니다.","SOLUTION_TITLE":"구축, 정제, Enrichment를 위한 단일 플랫폼","SOLUTION_CONTENT_1":"Datablist는 데이터베이스의 파워와 스프레드시트의 단순함을 결합했습니다. 빠르게 움직이는 스타트업의 GTM 팀을 위해 설계된 유연한 no-code 툴입니다.","SOLUTION_CONTENT_2":"모든 lead 소스를 통합하고, 지저분한 데이터를 정리하며, 최신 정보로 연락처를 enrichment하고, 코드 한 줄 없이 귀사의 workflows를 자동화하세요. 스케일을 위한 유연하고 비용 효율적인 솔루션입니다.","FEATURES_TITLE":"성장을 가속하는 데 필요한 모든 것","GRID_SOURCE_TITLE":"구매 의향이 높은 leads 소싱","GRID_SOURCE_BODY":"정적인 데이터베이스를 넘어가세요. Job Board Scraper로 적극적으로 채용 중인 회사를 찾아보세요—예산과 해결해야 할 과제가 있다는 명확한 신호입니다. 매일 신선한 leads를 확보하세요.","GRID_SCRAPE_TITLE":"AI 기반 Scraping","GRID_SCRAPE_BODY":"경쟁사가 살 수 없는 유니크한 lead 리스트를 구축하세요. 우리의 AI Agent가 어떤 웹사이트든 스크래핑해 니치 데이터, 고객 케이스 스터디, 그리고 기업이 사용하는 특정 기술까지 찾아드립니다.","GRID_PERSONALIZE_TITLE":"스케일 있게 outreach를 개인화하세요","GRID_PERSONALIZE_BODY":"획일적인 email 발송을 멈추세요. AI Agent로 각 잠재고객에 대한 유니크한 인사이트를 수집하세요. 사전 조사를 철저히 했다는 것을 보여주는 대화 포인트를 찾아 더 많은 회신을 받아보세요.","GRID_DEDUPE_TITLE":"중복 제거 및 병합","GRID_DEDUPE_BODY":"강력한 Duplicates Finder로 lead 및 고객 리스트를 정리하세요. 여러 소스의 중복 레코드를 소중한 데이터를 잃지 않고 병합하여, 하나의 신뢰할 수 있는 기준 데이터를 보장합니다.","GRID_CLEAN_TITLE":"CRM을 Clean & Enrich","GRID_CLEAN_BODY":"CRM 데이터를 정확하고 최신 상태로 유지하세요. email을 검증하고, 회사명을 표준화하며, LinkedIn 및 기타 프로바이더의 최신 데이터로 레코드를 enrichment하여 캠페인 성과를 개선하세요.","GRID_AUTOMATE_TITLE":"Workflow를 자동화하세요","GRID_AUTOMATE_BODY":"반복 작업을 설정해 새로운, enrichment된 leads가 끊임없이 유입되도록 하세요. scraper와 enrichment를 일간 또는 주간으로 스케줄링하여 세일즈 팀이 항상 가득 찬 파이프라인을 유지하도록 지원합니다.","WORKFLOW_TITLE":"고품질 leads를 위한 검증된 workflow","WORKFLOW_STEP1_TITLE":"1. 구매 의향이 있는 기업 소싱","WORKFLOW_STEP1_CONTENT_1":"명확한 니즈가 있는 회사를 찾는 것부터 시작하세요. Job Postings Scraper로 귀하의 제품이나 서비스가 지원하는 역할을 적극 채용 중인 기업을 식별합니다.","WORKFLOW_STEP1_CONTENT_2":"이는 예산이 있고 시급히 해결해야 할 문제가 있다는 가장 강력한 신호 중 하나입니다.","WORKFLOW_STEP2_TITLE":"2. 의사결정자와 연락처 찾기","WORKFLOW_STEP2_CONTENT_1":"타깃 계정을 확보했다면, Waterfall People Search로 해당 기업 내 적합한 컨택—예: Head of Sales나 Marketing Director—을 찾으세요.","WORKFLOW_STEP2_CONTENT_2":"그다음 email finder와 phone finder로 검증된 연락처 정보를 확보하세요.","WORKFLOW_STEP3_TITLE":"3. 개인화를 위한 인사이트 수집","WORKFLOW_STEP3_CONTENT_1":"여기서 경쟁 우위를 확보합니다. AI Agent로 각 잠재고객을 리서치하세요. 최근 블로그 글, 케이스 스터디, 사용 중인 SaaS 툴까지 찾아달라고 요청할 수 있습니다.","WORKFLOW_STEP3_CONTENT_2":"눈에 띄고 회신을 이끌어내는 outreach 메시지를 만드는 데 필요한 유니크한 인사이트를 얻게 됩니다.","WORKFLOW_STEP4_TITLE":"4. 리스트를 정제하고 마무리하세요","WORKFLOW_STEP4_CONTENT_1":"outreach를 시작하기 전에 최종 리스트를 Duplicates Finder로 점검하세요. 중복된 연락처나 회사를 병합해 깔끔하고 체계적인 리스트를 보장합니다.","WORKFLOW_STEP4_CONTENT_2":"이제 리스트를 세일즈 CRM이나 email sequencer에 동기화할 준비가 되었습니다.","SEE_ALSO":"함께 보기","FAQ_Q1":"Datablist는 ZoomInfo나 Apollo 같은 일반적인 B2B 데이터베이스와 무엇이 다른가요?","FAQ_A1":"일반적인 B2B 데이터베이스가 정적이고 사전에 수집된 데이터를 제공하는 반면, Datablist는 라이브 소스에서 신선하고 독자적인 lead 리스트를 구축할 수 있게 해줍니다. Job Scrapers로 적극적인 채용 의향—강력한 구매 신호—이 있는 회사를 찾을 수 있습니다. 또한 우리 AI Agent는 커스텀 web scraping을 수행해 어떤 데이터베이스도 제공하지 못하는 니치 데이터를 수집하므로, 차별화된 경쟁 우위를 제공합니다.","FAQ_Q2":"우리 스타트업은 고품질 leads가 빠르게 필요합니다. Datablist가 어떻게 도울 수 있나요?","FAQ_A2":"Datablist는 속도를 위해 설계되었습니다. 19개 이상 잡보드에서 데이터를 집계하는 Job Postings Scraper로 즉시 니즈가 있는 회사를 소싱하는 것부터 시작하세요. 그런 다음 Waterfall enrichment tools로 의사결정자와 검증된 연락처 정보를 빠르게 찾을 수 있습니다. 계정 소싱부터 outreach-ready 리스트를 갖추기까지 전체 workflow가 몇 분 만에 끝납니다.","FAQ_Q3":"Datablist를 사용하려면 개발자나 기술 역량이 필요한가요?","FAQ_A3":"아닙니다. Datablist는 no-code 플랫폼입니다. 사용자 친화적인 스프레드시트 인터페이스에 강력한 AI와 자동화 툴을 결합했습니다. web scraping, 데이터 정제, enrichment 같은 복잡한 작업도 자연어 prompt와 point-and-click 인터페이스로 수행할 수 있습니다. 개발자가 아니라 GTM 팀을 위해 만들어졌습니다.","FAQ_Q4":"Datablist는 세일즈 팀의 email 개인화에 어떻게 도움이 되나요?","FAQ_A4":"일반적인 outreach는 효과가 없습니다. Datablist의 AI Agent는 세일즈 팀의 리서치 어시스턴트처럼 동작합니다. 각 잠재고객의 웹사이트를 방문해 최근 케이스 스터디, 사용 중인 특정 기술, 회사 뉴스와 같은 대화 포인트를 찾도록 지시할 수 있습니다. 이를 통해 대규모로 고도로 개인화된 메시지를 작성하고 회신율을 크게 높일 수 있습니다.","FAQ_Q5":"여러 소스에서 온 지저분한 lead 리스트가 있습니다. Datablist는 클리닝과 중복 제거를 어떻게 처리하나요?","FAQ_A5":"Datablist는 데이터 위생에 뛰어납니다. 우리의 Duplicates Finder는 fuzzy matching을 포함한 고급 알고리즘으로 이름이나 세부 정보가 조금 달라도 여러 파일에 걸친 유사 레코드를 식별합니다. 이후 중복을 자동으로 병합하고, 데이터 손실 없이 상충되는 정보(예: 여러 전화번호)를 통합하며, 필드를 표준화해 단일하고 깔끔한 기준 데이터를 만듭니다.","FAQ_Q6":"지속적으로 잠재고객이 유입되도록 lead generation을 자동화할 수 있나요?","FAQ_A6":"가능합니다. Datablist는 자동화를 위해 만들어졌습니다. Job Postings Scraper 같은 데이터 소스를 일간 또는 주간으로 실행되도록 스케줄링할 수 있습니다. 이를 통해 팀은 항상 타깃팅 가능한 high-intent 기업 리스트를 보유하게 되어, 최소한의 수작업으로도 일관되고 예측 가능한 세일즈 파이프라인을 구축할 수 있습니다.","FAQ_Q7":"가격 모델은 스타트업에게 비용 효율적인가요?","FAQ_A7":"물론입니다. Datablist는 enrichment에 크레딧 기반 시스템을 사용해 사용한 만큼만 비용을 지불하므로, 예산을 관리하는 스타트업에 이상적입니다. Free Email Validator 같은 많은 기능은 무제한으로 제공되며, 유료 플랜도 스크래핑, 클리닝, enrichment를 위한 여러 개의 개별 툴을 각각 구독하는 것보다 훨씬 합리적입니다.","FAQ_Q8":"Datablist는 기존 CRM 및 세일즈 툴과 어떻게 연동되나요?","FAQ_A8":"Datablist는 기존 workflow에 자연스럽게 녹아들도록 설계되었습니다. Pipedrive와는 직접 연동으로 데이터 동기화를 원활하게 제공합니다. HubSpot이나 Salesforce 같은 다른 CRM의 경우, 정제·enrichment된 리스트를 CSV 또는 Excel로 손쉽게 내보내 빠르게 가져올 수 있습니다. 또한 Zapier 같은 툴을 사용해 Datablist를 수천 개 앱과 연결할 수 있습니다."},"Alternatives":{"HERO_DESC":"Datablist는 Lead Management 툴이며 {toolName}의 훌륭한 대안입니다. Datablist는 맞춤형 lead generation workflow를 구축하기에 최적의 툴입니다. Datablist와 {toolName}를 비교해 귀하에게 가장 잘 맞는 툴을 확인해 보세요.","WHAT_IS_TITLE":"{toolName}는 무엇인가요?","WHAT_IS_DESC":"{toolName}는 세일즈 팀이 outreach 캠페인을 실행하도록 돕는 SaaS 툴입니다. 여러 data enrichment 서비스를 통합하고 AI로 개인화된 outreach 메시지 초안을 자동화합니다. 이후 {toolName}는 CRM 및 outreach 툴과 연결되어 캠페인을 발송합니다.","COMPARISON_TITLE":"Datablist가 더 뛰어난 영역","COMPARISON_CONTENT_1":"Datablist와 {toolName}는 lead 리스트를 관리하는 두 가지 툴입니다.","COMPARISON_CONTENT_2":"Datablist는 데이터 클리닝, lead 중복 제거, 그리고 우리의 REST API를 활용한 커스텀 workflow에 집중합니다. Datablist는 빠르며 수십만 개의 leads도 무리 없이 처리합니다.","COMPARISON_CONTENT_3":"Clay는 leads 소싱과 워터폴 enrichment에 집중합니다.","COMPARISON_CONTENT_4":"고급 중복 제거와 강력한 데이터 클리닝으로 데이터 품질을 보장하는 중앙집중형 leads 데이터베이스를 구축하고자 한다면, Datablist가 정답입니다.","BENEFITS_TITLE":"왜 팀들이 {toolName}에서 Datablist로 전환할까요?","COST_EFFECTIVE_TITLE":"Datablist는 {toolName}의 더 저렴한 대안입니다","COST_EFFECTIVE_DESC":"Clay는 제한적인 무료 플랜만 제공합니다. Clay Starter 플랜은 월 $149부터이며 크레딧은 2,000개뿐입니다. Datablist는 더 저렴한 월 구독과 더 합리적인 크레딧 패키지를 제공합니다. leads 스크래핑, 클리닝, enrichment를 많이 할수록 Datablist를 사용할 때 더 많은 비용을 절감할 수 있습니다.","CLEANING_TITLE":"고급 클리닝 및 중복 제거 툴","CLEANING_DESC":"Datablist는 고급 데이터 클리닝 툴을 제공합니다. 데이터 타입 변환부터 데이터 정규화까지, 대규모 데이터 클리닝에서는 스프레드시트 툴을 능가합니다. Lead Deduplication은 Datablist의 기본 기능입니다. 퍼지 매칭과 고급 중복 병합으로 동일한 lead를 두 번 enrichment하는 일을 방지합니다.","API_TITLE":"API로 확장 가능","API_DESC":"Datablist 데이터 스토어는 API로 완전하게 접근할 수 있습니다. 우리의 RESTful API로 컬렉션, 프로퍼티, 아이템을 생성하세요. Make.com이나 Zapier를 사용 중이신가요? API로 Datablist와 연결하여 강력한 outreach workflow를 구축하세요.","SCALE_TITLE":"더 큰 리스트 처리","SCALE_DESC":"Datablist는 클라우드 동기화로 최대 100,000개 항목을 처리하고, 데이터 조작·변환·클리닝 용도로는 최대 2,000,000개 항목까지 다룹니다. 성능 저하 없이 lead management를 확장하세요.","SUPERIOR_TITLE":"Datablist: Lead Generation을 위한 탁월한 대안","SUPERIOR_INTRO":"Datablist는 Clay와 같은 다른 lead generation 툴에서 사용자가 겪는 어려움을 잘 이해하고 있습니다. 그래서 우리는 플랫폼을 사용자 친화적이고 빠르며 기존 workflow에 쉽게 통합될 수 있도록 유연하게 설계했습니다. 직관적인 인터페이스로 학습 곡선을 최소화하고 설정 과정을 매끄럽게 하여, 번거로움 없이 빠르게 leads 생성 작업을 시작할 수 있습니다.","ACCURATE_DATA_TITLE":"정확하고 신뢰할 수 있는 데이터","ACCURATE_DATA_DESC":"우리는 데이터 정확도를 최우선으로 하여 최신의 정확한 연락처 정보를 제공합니다. 이는 더 효과적인 outreach 캠페인과 더 높은 전환율로 이어집니다. 다른 플랫폼에서 겪었던 불일치와 오래된 데이터 문제와는 작별하세요.","AFFORDABLE_PRICING_TITLE":"합리적인 가격","AFFORDABLE_PRICING_DESC":"Datablist는 모든 규모의 비즈니스에 적합한 경쟁력 있고 투명한 가격을 제공합니다. 비용 효율적인 모델로 예기치 않은 지출 없이 최고의 가치를 보장합니다. 다른 툴과 달리, 비용이 빠르게 불어나는 걱정을 하실 필요가 없습니다.","RESPONSIVE_SUPPORT_TITLE":"신속한 고객 지원","RESPONSIVE_SUPPORT_DESC":"전담 지원 팀이 항상 신속하게 도와드려, 겪으시는 문제를 빠르고 효율적으로 해결해 드립니다. 빠른 응답 속도와 전문성 있는 지원에 자부심을 갖고 있으며, 그 사이에 여러분은 가장 중요한 일—비즈니스 성장—에 집중하실 수 있습니다.","SUPERIOR_CONCLUSION":"매끄럽고 신뢰할 수 있으며 합리적인 lead generation 경험을 위해 Datablist를 선택하세요.","SEE_ALSO":"관련 자료","ENRICHMENTS":"Enrichments","ENRICHMENTS_DESC":"회사 정보, 연락처 등으로 leads 데이터를 보강할 수 있는 data enrichment 서비스를 확인하세요.","DATA_SOURCES":"데이터 소스","DATA_SOURCES_DESC":"다양한 플랫폼과 웹사이트에서 데이터를 가져오고 스크래핑할 수 있도록 제공되는 모든 데이터 소스를 살펴보세요.","API_DOCS":"API 문서","API_DOCS_DESC":"포괄적인 REST API를 통해 기존 workflow와 Datablist를 통합하는 방법을 알아보세요.","LEAD_BUILDING":"lead 리스트 구축","LEAD_BUILDING_DESC":"종합 가이드와 툴로 고품질 lead 리스트 구축 역량을 강화하세요."},"AIPrompts":{"metadata":{"title":"AI Prompts","description":"당사의 AI prompts로 Lead Generation, Enrichment, 및 데이터 클렌징을 개선하세요. 이 prompts는 높은 품질의 leads를 찾고, 데이터를 정확하게 유지하도록 돕습니다. AI를 활용해 잠재 고객을 식별하고, lead 정보를 업데이트하세요. AI 기반 도구로 리드 관리 최적화를 통해 스케일업을 원하는 비즈니스에 적합합니다."},"breadcrumb":{"home":"Home","aiPrompts":"AI Prompts"},"header":{"category":"비즈니스 성장을 위한 AI 도구","title":"Lead Generation, Enrichment & 데이터 클렌징을 위한 Top AI Prompts","description":"리드 발굴, enrichment, 데이터 클렌징을 자동화하세요. 이 AI prompts는 GTM workflows를 확장합니다."},"enrichment":{"title":"AI Agent Prompts (Enrichment)","description":"이 prompts를 사용해 기존 항목을 enrichment하세요. 현재 레코드에서 누락된 세부 정보를 찾고, 리서치를 수행하거나, 각 행의 정보를 분석하도록 AI prompts를 실행할 수 있습니다."},"dataSource":{"title":"Source AI Agent Prompts (Data Source)","description":"이 prompts는 새로운 items를 생성합니다. 웹사이트를 스크래핑해 구조화된 정보를 수집하고, 특정 기준에 맞는 연락처를 찾거나, AI를 사용해 타깃 리스트를 처음부터 구축하세요. 새 데이터를 생성하기 위해 URL, 지시문, 또는 다른 컬렉션의 입력값으로 시작할 수 있습니다."},"cta":"Prompt 보기","detail":{"metadataTitle":"ChatGPT prompt for: {title}","metadataNotFound":"AI Prompt를 찾을 수 없습니다","pageTitle":"ChatGPT prompt for: {title}","pageTitleDataSource":"AI Agent prompt: {title}","breadcrumbHome":"Home","breadcrumbEnrichments":"Enrichments 스토어","breadcrumbAIPrompts":"AI Prompts","copiedText":"Prompt 복사됨","copyText":"prompt를 클립보드로 복사","relatedPrompts":"관련 Prompts"},"enrichmentContent":{"howToTitle":"이 prompt를 CSV 파일에서 어떻게 사용하나요?","howToIntro":"**Datablist는 전체 CSV 파일을 가져와 각 행에 바로 prompts를 실행할 수 있습니다.**","howToTemplates":"좋은 소식입니다! 필요한 prompt는 이미 Datablist의 \"Templates\" 섹션에 있습니다. 처음부터 시작할 필요가 없습니다. 작업에 맞는 템플릿을 선택하기만 하면 CSV의 모든 행에서 바로 실행할 수 있습니다. 몇 번의 클릭만으로 데이터를 손쉽게 변환하세요.","openDatablist":"Datablist 열기","noSignup":"회원가입 불필요","step1":"CSV 파일을 Datablist로 Import합니다. 그런 다음 헤더에서 \"Enrich\"를 선택하세요.","step2":"템플릿 선택: **{title}**","step2Image":"템플릿 선택","step3":"\"/\" 또는 \"{{\"를 사용해 prompt의 변수를 컬렉션 속성으로 대체하세요.","step3Image":"컬렉션 속성으로 변수 정의","step4":"모든 변수가 없더라도, prompt를 직접 수정하시면 됩니다.","step5":"**완료입니다!** 이제 CSV 파일의 모든 행에 prompt를 실행하고 결과를 새 컬럼에서 확인하세요. 🚀","costTitle":"비용은 얼마인가요?","costIntro":"선택지는 두 가지입니다. 둘 다 매우 간단합니다.","option1Title":"옵션 1 – 본인 OpenAI API key 사용.","option1Desc1":"당사 측 비용은 없습니다. key만 연결하면 Datablist가 귀하의 계정으로 요청을 보냅니다. 사용량 기준 OpenAI에 직접 비용을 지불합니다. 중간 수수료 없음. 추가 수수료 없음.","option1Desc2":"본인 API key 사용 시, 1,000 items 기준으로 OpenAI 비용은 약 **$2** 정도일 수 있습니다.","option1Desc3":"이미 OpenAI key가 있거나 비용을 완전히 통제하고 싶을 때 이상적입니다.\n**보너스:** 당사에서 rate limits를 두지 않습니다!","option2Title":"옵션 2 – Datablist 크레딧 사용.","option2Desc1":"API key가 없어도 괜찮습니다. Datablist의 내장 ChatGPT 계정을 사용할 수 있습니다. API 처리는 저희가 대신합니다. 결제는 Datablist 크레딧으로 하시면 됩니다.","option2List1":"API key 설정 – 생략","option2List2":"ChatGPT rate limits – 회피","option2List3":"계정 제약 – 더 이상 고민하지 않으셔도 됩니다","option2Desc2":"그냥 작동합니다.","tldr":"TL;DR","tldrKey":"**Use your key** = 더 저렴","tldrCredits":"**Use Datablist credits** = 더 간편","tldrEnd":"어떤 방식을 선택하셔도 통제권은 귀하에게 있습니다.","aiAgentTitle":"AI Agent prompts에 대한 안내","aiAgentDesc1":"이 prompt는 Datablist [AI Agent](/enrichments/ai-agent) enrichment용입니다. **AI Agent는 인공지능(AI)을 사용해 사용자를 대신해 작업을 수행하는 스마트 도구입니다. 웹사이트를 탐색하고, 정보를 찾기 위해 Google을 활용하며, 다양한 온라인 서비스와 상호작용할 수 있습니다.** 즉, 실시간 데이터와 최신 답변을 제공해 드립니다.","aiAgentDesc2":"반면 ChatGPT API는 입력 텍스트를 분석하고 기존 지식에 기반해 응답만 할 수 있습니다. 인터넷에 접속하거나 새로운 정보를 직접 수집하는 기능은 없습니다.","aiAgentDesc3":"AI Agent는 실시간 데이터를 가져와 보다 역동적인 경험을 제공하는 반면, ChatGPT API는 사전에 학습된 지식에 의존해 질의에 응답합니다.","aiAgentDesc4":"**[https://chatgpt.com/](https://chatgpt.com/)에서 직접 상호작용할 때는 Agent와 상호작용하는 것입니다. 때때로 prompt에 추가 정보를 제공하기 위해 온라인에 접속하기도 합니다(빈번하진 않음). 그러나 ChatGPT에 연결된 다른 도구들은 API를 사용합니다. 따라서 이 prompt는 ChatGPT API를 호출하는 다른 도구에서는 사용할 수 없다는 점을 기억하세요.**","aiAgentDesc5":"Datablist [AI Agent](/enrichments/ai-agent)는 CSV의 각 행마다 에이전트를 실행합니다."},"aiScraperContent":{"howToTitle":"이 AI Prompt 사용하는 방법","step1Title":"**Create a New Collection**: 데이터가 저장될 빈 새 컬렉션을 Datablist에서 생성하세요. 사이드바에서 '+ Create new collection'을 클릭합니다.","step1ImageAlt":"AI web scraping > Regular web scraping","step2Title":"**Select the AI Agent Source**: \"See all sources\"를 클릭하거나 \"Import\" -> \"Import From Data Sources\"로 이동하세요. \"AI Agent - Site Scraper\"를 선택합니다.","step2ImageAlt":"Select AI Agent - Site Scraper","step3Title":"**Configure the Source**:","step3Item1":"**Select Template**: \"Template\" 드롭다운에서 해당 prompt를 찾아 선택하세요. 위의 prompt가 자동으로 로드됩니다.","step3Item2":"**URL to Scrape**: 스크래핑할 URL을 입력하세요","step3Item3":"**Enable Pagination (Optional)**: 결과가 여러 페이지에 걸쳐 있다면, ***Enable Pagination***을 체크하고 적절한 ***Max Pages*** 한도(예: 10)를 설정하세요.","step3Item4":"**Customize (Optional)**: AI 모델을 조정하고(예: GPT-4o mini는 비용 효율적), 특정 요구에 맞춰 prompt를 수정하거나 예상 ***Outputs***를 변경할 수 있습니다.","step3ImageAlt":"AI web scraping > Regular web scraping","step4Title":"**Review Outputs**: ***Continue***를 클릭하세요. Datablist가 prompt에 정의된 출력 필드(Project Name, Client Company Name)를 보여줍니다. 각 항목 옆의 ***+*** 아이콘을 클릭해 컬렉션에 해당 속성(컬럼)을 생성하세요.","step4ImageAlt":"Outputs","step5Title":"**Run Import**: ***Run import now***를 클릭하세요. AI Agent가 prompt를 기반으로 웹사이트 스크래핑을 시작하고 컬렉션을 채웁니다.","pricingTitle":"Pricing","pricingDesc":"이 데이터 소스는 사용량 기준으로 Datablist 크레딧을 사용합니다. 비용은 웹사이트의 복잡도와 방문한 페이지 수에 따라 달라집니다.","pricingTest":"먼저 단일 페이지에서 AI Agent를 테스트 실행하여 비용을 추정하세요.","faqTitle":"FAQ","faq1Question":"동일한 구성으로 다시 실행하려면 어떻게 하나요?","faq1Answer":"AI Agent를 실행한 후, 데이터 테이블 우측 상단의 분홍색 버튼을 클릭하면 마지막 설정으로 다시 열 수 있습니다.","faq1ImageAlt":"기존 에이전트 설정 사용","faq2Question":"AI Agent가 보호된 웹사이트에 접근하거나 차단되면 어떻게 되나요?","faq2Answer":"AI Agent는 필요 시 자동으로 프록시 서버를 사용하여 스크래핑 방어나 지역 제한이 있는 웹사이트에 접근을 시도합니다. 성공 확률을 높여 주지만, 방어가 매우 강한 사이트는 여전히 어려울 수 있습니다.","faq3Question":"AI Agent로 얼마나 많은 데이터를 처리할 수 있나요?","faq3Answer":"AI Agent를 실행할 때(Enrichment 또는 Data Source), Datablist 컬렉션은 최대 100,000 items(행)까지 처리할 수 있습니다. 그보다 큰 데이터셋은 여러 컬렉션으로 분할해야 할 수 있습니다.","faq4Question":"AI Agent는 ChatGPT/Claude/Gemini enrichment와 어떻게 다른가요?","faq4Answer":"표준 AI enrichment(ChatGPT, Claude, Gemini)는 컬렉션에 이미 있는 데이터를 AI의 기존 지식으로 처리합니다. AI Agent는 실제 웹과 상호작용하며 Google 검색, 웹사이트 브라우징, prompt를 기반으로 새로운 정보를 추출할 수 있습니다.","faq5Question":"결과 정확도는 어느 정도인가요?","faq5Answer":"정확도는 prompt의 명확성·구체성, 작업의 복잡도, 온라인에서 이용 가능한 정보에 크게 좌우됩니다. 명확한 지침, 예시, 오류 처리 규칙을 제공하면 결과가 향상됩니다. Datablist는 신뢰도를 가늠할 수 있도록 AI Agent 출력에 대해 종종 confidence score를 제공합니다."},"aiOnColContent":{"step1Title":"**Create a New Collection**: 데이터가 저장될 빈 새 컬렉션을 Datablist에서 생성하세요. 사이드바에서 '+ Create new collection'을 클릭합니다.","step1ImageAlt":"새 컬렉션","step2Title":"**Configure the Source**:","step2Item1":"**Select Template**: \"Template\" 드롭다운에서 해당 prompt를 찾아 선택하세요. 위의 prompt가 자동으로 로드됩니다.","step2Item2":"**For every item in**: items가 있는 컬렉션을 입력하세요. 각 item에 대해 AI Agent가 실행됩니다.","step2Item3":"**Prompt**: 컬렉션의 변수를 사용해 prompt를 편집하세요. 속성 선택에는 \"/\"를 사용하세요.","step2Item4":"**Customize (Optional)**: AI 모델을 조정하고(예: GPT-4o mini는 비용 효율적), 특정 요구에 맞춰 prompt를 수정하거나 예상 ***Outputs***를 변경할 수 있습니다.","step2ImageAlt":"prompt 예시"}},"About":{"metadata":{"title":"회사 소개","description":"당사의 사명은 귀사의 비즈니스를 디지털 회사로 전환하도록 돕는 것입니다."},"jsonLd":{"description":"당사의 사명은 귀사의 비즈니스를 디지털 회사로 전환하도록 돕는 것입니다."},"vision":{"heading":"데이터로 비즈니스를 성장시키십시오","paragraph1":"협업을 통해 우리는 인류를 달에 착륙시켰고, 1900년 이후 평균 기대수명은 두 배로 늘었습니다.","paragraph2":"기술은 협업이 달성할 수 있는 성과를 증폭시키는 촉매이자 승수입니다. 1750년 산업혁명 이전에는 1인당 평균 소득이 약 6,000년마다 두 배가 되었지만, 그 이후로는 50년마다 두 배가 되었습니다.","paragraph3":"조직에서 기술은 사람의 역량을 확대해 더 많은 산출을 가능하게 하고, 반복 작업을 자동화하여 조직의 생산성을 높입니다.","paragraph4":"우리는 이러한 생산성 향상이 전 세계 생활 수준을 높이는 핵심이라고 믿습니다. 재화의 가격은 낮아지고, 생산성 증가는 사람들이 일 외의 활동에 더 많은 시간을 쏟을 수 있게 합니다.","paragraph5":"더 적은 일로 더 많이 만들어낼 때, 우리는 소중한 사람들과 보낼 시간이 더 많아집니다!"},"approach":{"heading":"당사의 접근 방식","paragraph1":"Datablist 설립 전, 저는 엔지니어 비중이 80%인 SaaS 회사에서 공동 창업자이자 CTO로 8년을 보냈습니다.","paragraph2":"우리는 제품 개발을 최적화하고 자동화했습니다. 테스트와 배포 파이프라인을 구축해 어떤 코드 수정도 고객에게 안정적인 신규 버전으로 이어지도록 했습니다.","paragraph3":"그럼에도 불구하고, 많은 회사들과—어쩌면 귀사도—마찬가지로 우리의 회사 운영은 스프레드시트에 의존하고 있었습니다. 직원 온보딩부터 메일링 리스트, 또는 <ProspectBuildingLink>영업 대상 리스트를 구축</ProspectBuildingLink>하는 일까지, 사용이 쉬운 스프레드시트 도구를 대체할 만한 것이 없습니다.","paragraph4":"내부 프로세스를 스프레드시트로 운영하면 디지털 전환의 절반은 이룬 셈입니다. 그러나 나머지 절반은 어렵습니다. 스프레드시트로 자동화를 구현하거나 여러 스프레드시트를 서로 연결하는 일은 기쁨보다 좌절을 더 많이 줍니다. 버전 난립, 중복 데이터, 유효하지 않은 데이터로 모두가 안 좋은 경험을 해봤을 것입니다.","paragraph5":"그래서 우리는 Datablist를 만들었습니다. Datablist는 유연성을 유지하면서도 데이터 구조를 제공하여, 귀사만의 고유한 프로세스를 구축할 수 있게 합니다.","paragraph6":"우리의 사명은 귀사의 비즈니스를 디지털 회사로 전환하도록 돕는 것입니다. 데이터로 구동되는 내부 도구를 갖춘 디지털 운영체제를 상상해 보세요. 확장 가능하고 유연하며 확장성까지 갖춰, 귀사의 디지털 운영체제가 비즈니스와 함께 성장합니다."},"learnMore":{"heading":"당사의 생각"},"team":{"heading":"팀","members":{"florian":{"name":"Florian Poullin","title":"창업자","description":"이력: IZBERG-Marketplace 공동 창업자 및 CTO (2019년 1월 프랑스 상장사 Open Group에 인수)"},"habib":{"name":"Habib Benabdeslam","title":"GTM & Growth 전문가","description":"Habib은 사람, 기술, 경쟁에 대한 열정을 결합해 Datablist의 성장을 이끕니다."}},"tooltips":{"followLinkedIn":"LinkedIn에서 {name} 팔로우하기","followTwitter":"Twitter에서 {name} 팔로우하기","bookCall":"{name} 통화 일정 예약하기"},"altText":"{name} - Datablist"}},"Contact":{"metadata":{"title":"문의 ","description":"지원, 영업 문의 또는 데모 예약을 위해 Datablist에 문의하세요."},"header":{"category":"문의","title":"메시지를 보내주세요","description":"지원 요청, 팀과 채팅, 가격 안내를 받아보세요."},"support":{"title":"기술 지원","description":"기술 지원이 필요하시면 email로 문의해 주세요. 스크린샷과 가능한 한 많은 관련 배경 정보를 함께 보내주세요.","showEmailButton":"지원 email 보기","generatingButton":"email 버튼 생성 중...","emailButton":"여기를 클릭하여 email을 보내세요"},"sales":{"title":"영업 및 마케팅","description":"영업 팀에 메시지를 보내시려면 이 양식을 작성해 주세요.","button":"영업 문의"},"demo":{"title":"데모 신청","description":"영업 팀이 제공하는 맞춤형 라이브 데모로 제품을 자세히 알아보세요.","button":"데모 상담 예약"},"salesPage":{"metadata":{"title":"문의 ","description":"지원, 영업 문의 또는 데모 예약을 위해 Datablist에 문의하세요."},"breadcrumb":{"contact":"문의하기","current":"영업 및 마케팅"},"header":{"category":"문의","title":"영업 및 마케팅 팀에 문의하세요","description":"비즈니스 문의는 아래 양식을 작성해 주세요."}}},"Pricing":{"metadata":{"title":"요금제","description":"데이터 업무에 꼭 맞는 요금제를 선택하세요. 개인과 팀을 위한 유연한 요금 옵션을 제공합니다."},"header":{"title":"요금제","subtitle":"무료로 시작하세요 (<link>회원가입 없이 바로 시작할 수 있습니다</link>). 업그레이드하여 데이터의 잠재력을 최대한 활용하세요."},"switcher":{"monthly":"월간","yearly":"연간","discount":"-20%"},"plans":{"creditsYear":"연간 {credits} credits.","creditsMonth":"월 {credits} credits.","includedUsers":"{users} {users, plural, =1 {user} other {users}} 포함","extraUsersMonth":"이후 {price}/user/month","extraUsersYear":"이후 {price}/user/year","free":{"name":"무료 플랜","price":"0","users":"단일 사용자","extraUsers":"추가 사용자는 허용되지 않습니다","credits":"연 500 credits","bulletsText":"무료 플랜에 포함된 기능:","bullets":["무제한 컬렉션","브라우저 저장소에 저장되는 컬렉션당 최대 100만 개 항목 가져오기","중복 항목 찾기","무료 데이터 enrichment 사용 가능","CSV 및 Excel 파일 가져오기","CSV 및 Excel 파일로 내보내기"],"restrictions":["Cloud 동기화 없음","Enrichment 자동화 없음","프리미엄 enrichment 없음","커스텀 API enrichment 없음","내보내기 연동 없음"]},"starter":{"name":"Starter","creditsExtra":"추가 credits가 필요하면 top-up을 사용하세요.","billedYearly":"연간 결제","bulletsText":"무료 플랜의 모든 기능 + 다음 기능:","bullets":["브라우저 저장소에 저장되는 컬렉션당 최대 200만 개 항목 가져오기","항목 100,000개 미만의 컬렉션을 Cloud로 동기화","정규식과 필터 그룹을 활용한 고급 필터링","고급 중복 제거 알고리즘과 자동 병합 설정","여러 컬렉션 간 중복 제거","고급 데이터 추출 알고리즘","JavaScript 실행용 코드 라이브러리","AI Agent enrichment","모든 프리미엄 enrichment 사용 가능","우선 지원"],"restrictions":["Enrichment 자동화 없음","내보내기 연동 없음","커스텀 API enrichment 없음","REST API 접근 불가"]},"growth":{"name":"Growth","creditsExtra":"추가 credits가 필요하면 top-up을 사용하세요.","billedYearly":"연간 결제","mostPopular":"가장 인기","bulletsText":"Starter 플랜의 모든 기능 + 다음 기능:","bullets":["Enrichment 자동화","데이터 소스 자동화","커스텀 API enrichment","Datablist REST API","기술 온보딩"]},"common":{"perMonth":"/월","signUp":"가입하기","notIncluded":"포함되지 않음:"}},"faq":{"title":"자주 묻는 질문","subtitle":"아래에서 구독 요금제에 대해 가장 자주 받는 질문의 답변을 확인하실 수 있습니다","questions":{"canIUseFree":{"title":"Datablist를 무료로 사용할 수 있나요?","message":"무료 플랜은 영구적으로 무료입니다. 가끔 필요가 있는 개인 사용자를 위해 설계되었습니다. 유료 플랜은 더 많은 데이터 작업, Cloud 동기화, 팀 관리 기능을 제공합니다."},"whatIsCollection":{"title":"Datablist의 컬렉션이란 무엇인가요?","message":"Datablist에서는 데이터가 아이템을 담는 컬렉션으로 구성됩니다. 하나의 컬렉션 안의 모든 아이템은 동일한 데이터 구조를 공유합니다. 예를 들어, 컬렉션은 세일즈 leads 목록, 메일링 리스트 email, 채용 후보자 목록이 될 수 있습니다. <link>컬렉션 문서 보기</link>."},"whereIsDataStored":{"title":"내 데이터는 어디에 저장되나요?","message":"Datablist는 구조화된 데이터를 저장하기 위해 웹 브라우저가 제공하는 로컬 데이터베이스를 사용합니다. 로컬 데이터베이스는 빠른 접근과 반응성 높은 사용자 경험에 적합합니다. 하지만 이 로컬 데이터는 브라우저에 한정되며 손실 위험이 있습니다. 유료 플랜에서는 최대 100,000개 아이템의 컬렉션이 Cloud로 동기화됩니다."},"canIExport":{"title":"Datablist에 저장된 데이터를 내보낼 수 있나요?","message":"물론입니다! 데이터는 고객님의 자산이며 내보내기는 무료이고 무제한입니다. 컬렉션에서 직접 CSV 또는 Excel 형식으로 데이터를 내보낼 수 있습니다. Cloud에 동기화되지 않은 컬렉션의 경우, 브라우저가 데이터를 삭제할 상황에 대비해 정기적으로 내보내어 백업하시길 권장합니다. 또한 Excel은 셀 크기와 행 수에 제한이 있습니다. 큰 컬렉션은 Excel 형식으로 내보내지 못할 수 있습니다."},"whatAreCredits":{"title":"credits는 무엇에 사용되나요?","message":"일부 enrichment(OpenAI, Google Translate, Deepl, Email Finder 등)는 서드파티 API에 의존합니다. 대부분의 서드파티 API는 유료 서비스입니다. 이를 위해 Datablist는 credit 시스템을 사용합니다. 그 외 기능(중복 제거, 편집, 필터링 등)은 무제한입니다. <link>Datablist Credits 자세히 보기</link>."},"whenCreditsYearly":{"title":"연간 플랜의 credits는 언제 지급되나요?","message":"연간 플랜의 경우, 가입 시 월별 credits의 합계가 한 번에 지급됩니다. Starter 플랜은 60,000 credits를 즉시 받으며, Growth 플랜은 240,000 credits를 받습니다."},"whatIsEnrichment":{"title":"enrichment란 무엇인가요?","message":"<enrichmentsLink>Enrichment</enrichmentsLink>는 컬렉션 아이템 전체 또는 일부에 작업을 수행하는 온라인 프로그램입니다. Datablist <storeLink>Enrichments Store</storeLink>에는 리드 제너레이션, 텍스트 번역, web scraping, ChatGPT 등을 위한 enrichment가 포함되어 있습니다."},"premiumEnrichmentsList":{"title":"프리미엄 enrichment 목록이 있나요?","message":"저희는 매달 새로운 enrichment를 추가합니다. 최신 목록을 확인하려면 <link>Datablist를 열고</link> 컬렉션 헤더의 \"Enrich\" 버튼을 클릭하세요. 모든 enrichment가 그곳에 나열되어 있으며, 프리미엄 enrichment에는 \"Premium\" 라벨이 표시됩니다."},"canBrowserDelete":{"title":"브라우저가 내 로컬 데이터를 삭제할 수 있나요?","message":"브라우저 캐시를 지우거나 하드 드라이브 용량 한계에 도달하면 발생할 수 있습니다. 사이트 데이터를 지울 때 Datablist가 사용하는 로컬 데이터베이스는 쿠키, 캐시 데이터와 함께 사이트가 생성한 데이터와 함께 삭제됩니다. 데이터 손실을 방지하려면 Cloud 동기화(유료 플랜에서 100,000개 미만 아이템의 컬렉션에 제공)를 사용하세요. 또 다른 방법은 주기적으로 CSV 파일로 데이터를 내보내는 것입니다."},"cloudSyncLimit":{"title":"Cloud 동기화 한도에 도달하면 어떻게 되나요?","message":"유료 플랜은 100,000개 미만 아이템의 컬렉션에 대해 Cloud 동기화를 제공합니다. 더 큰 컬렉션에서는 아직 Cloud 동기화가 불가능하며, 컬렉션 데이터는 브라우저에만 저장됩니다."},"browserSupport":{"title":"모든 웹 브라우저에서 Datablist가 작동하나요?","message":"Datablist는 최신 웹 브라우저가 필요합니다. Chrome, Safari, Firefox, Edge의 최신 버전을 지원합니다. Internet Explorer는 지원하지 않습니다. 현재는 데스크톱 웹 브라우저를 대상으로 합니다. 모바일 웹 브라우저와 호환되는 모바일 버전은 로드맵에 있습니다."},"freeVsPremium":{"title":"무료 enrichment와 프리미엄 enrichment의 차이는 무엇인가요?","message":"무료 enrichment는 무료 등록 사용자에게 제공되며, 프리미엄 enrichment는 유료 고객에게만 제공됩니다. 프리미엄 enrichment는 보통 서드파티 서비스에 의존하며 월별 호출 한도가 있습니다."},"hitEnrichmentLimit":{"title":"프리미엄 enrichment 한도에 도달하면 어떻게 되나요?","message":"credits를 모두 사용하면 프리미엄 enrichment를 실행할 수 없습니다. credits를 top-up 하거나 월별 credits가 갱신될 때까지 기다리실 수 있습니다."},"paymentOptions":{"title":"결제 옵션은 무엇이 있나요?","message":"모든 월간 결제는 신용카드 또는 Paypal로 진행됩니다. Datablist는 신용카드 데이터 처리를 위해 Chargebee, Stripe 또는 Paypal을 사용합니다."},"canCancel":{"title":"언제든 플랜을 취소할 수 있나요?","message":"Datablist와의 약정 의무는 없습니다. 구독 섹션으로 이동해 'Downgrade account'를 클릭하세요."},"canUpgrade":{"title":"Starter에서 Growth 플랜으로 업그레이드할 수 있나요?","message":"가능합니다. Starter에서 Growth 플랜으로 업그레이드할 수 있습니다. 업그레이드 시 변경 사항은 즉시 적용되며, 다음 결제 주기 전 남은 일수에 대해 일할 계산되어 청구됩니다. 예를 들어 매달 5일이 결제일이고 1일에 Growth로 업그레이드하면, 남은 5일에 대한 구독 금액 차액이 청구됩니다."},"canDowngrade":{"title":"Growth에서 Starter 플랜으로 다운그레이드할 수 있나요?","message":"가능합니다. Growth에서 Starter 플랜으로 다운그레이드할 수 있습니다. 다운그레이드 시 변경 사항은 해당 결제 주기 종료 시점에 적용됩니다. 예를 들어 결제일이 매달 5일이고 1일에 Starter로 다운그레이드하면, 5일까지는 계속 Growth 플랜이 유지됩니다."},"refunds":{"title":"환불을 제공하나요?","message":"죄송하지만 환불은 제공하지 않습니다. 제품은 무료 버전으로 테스트할 수 있습니다."}}},"cloudAgency":{"title":"Cloud 에이전시이신가요? 문의하세요!","description1":"리드 제너레이션 에이전시이신가요? 귀사에 맞춘 요금제를 함께 설계해 드립니다.","description2":"맞춤 연동이나 특정 요구사항을 위한 Professional Services도 제공합니다.","description3":"<link>미팅을 예약하세요.</link>","complexUseCase":{"title":"복잡한 사용 사례가 있으신가요?","description1":"에이전시, 기술 파트너, Professional Services 파트너, 혹은 복잡한 요구가 있는 누구든지 <contactLink>문의</contactLink>하시거나 <bookLink>저희 팀과 미팅을 예약</bookLink>해 주세요.","description2":"또한 <helpLink>Help Center</helpLink>에서 Datablist의 동작 방식을 자세히 확인하세요."}},"v4":{"hero":{"eyebrow":"요금제","title":["심플한 요금제. 정확한 데이터.","강력한 AI workflow."],"description":"필요한 기능에 맞는 요금제를 선택하고, 사용량이 늘어나면 크레딧을 추가하세요.","badges":["개인 및 팀을 위한 요금제","데이터 작업 무제한","언제든지 해지 가능"],"note":"유료 요금제에는 데이터 보강용 크레딧이 포함됩니다. 무료 요금제에는 연간 500크레딧이 포함됩니다."},"billing":{"monthly":"월간","yearly":"연간","save":"{discount}% 할인"},"common":{"currency":"$$","currencyCode":"USD","price":"{currency}{amount}","perMonth":"/월","freeForever":"평생 무료","billedYearly":"연간 결제","includedCredits":"포함된 크레딧","freeCredits":"연간 500크레딧","creditsSelector":"월 {amount}크레딧","creditsComparison":"월 {amount}크레딧","includedInPlan":"요금제에 포함","addOnNote":"월 +${price} 애드온","choose":"{reason} {name} 요금제를 선택하세요","featuresPrevious":"<muted>{name}</muted>의 모든 기능과 다음 기능이 제공됩니다:","popular":"가장 인기 있음","breakdown":"상세 내역 보기","startFree":"무료로 시작하기","startTrial":"무료로 시작하기","limited":"제한적 제공","limitedTooltip":"무료로 제공되는 500크레딧으로 이용할 수 있습니다. 무료 요금제에서는 실행 속도가 더 느립니다.","loading":"요금 정보를 불러오는 중…","creditsMonth":"월 {amount}크레딧","creditsYear":"연간 {amount}크레딧","includedUsers":"{users, plural, =1 {사용자 1명 포함} other {사용자 #명 포함}}","extraUsersMonth":"이후 사용자당 월 {price}","extraUsersYear":"이후 사용자당 연 {price}","annualBilling":"연간 {price} 결제","buyCredits":"Datablist에서 크레딧 구매"},"plans":{"free":{"name":"무료","tag":"브라우저에서 데이터를 정리하고 탐색하는 개인 사용자를 위한 요금제입니다.","cta":"무료로 시작하기","micro":"카드 등록이 필요하지 않습니다.","choose":"간단한 중복 제거와 데이터 정리만 필요하다면","featuresHeading":"포함된 주요 기능:","features":["<accent>데이터 정리 및 추출 도구 5개</accent>: 중복 제거, 찾기 및 바꾸기, 일괄 편집","자체 키를 사용한 ChatGPT / Claude 연동","AI 편집(제한적 제공)","테이블당 200만 레코드, 브라우저에만 저장","사용자 1명","제한된 데이터 보강","느린 실행 속도","클라우드 백업 미제공"]},"starter":{"name":"Starter","tag":"스크래핑, 데이터 보강 및 정리 workflow를 실행하는 개인 사용자를 위한 요금제입니다.","cta":"무료로 시작하기","micro":"카드 등록이 필요하지 않습니다.","choose":"하나의 플랫폼에서 leads를 스크래핑하고, 계정을 조사하며, 데이터를 보강하려면","featuresHeading":"무료 요금제의 모든 기능과 다음 기능이 제공됩니다:","features":["<accent>50개 이상의 lead 스크래핑 및 데이터 보강 도구</accent>: email 및 전화번호 finder, LinkedIn, 도메인, 기업 데이터 등","<accent>20개 이상의 고급 정리 도구</accent>: 검증, 클리너, 파서","Sales Navigator 스크래퍼","AI 리서치 에이전트 및 AI 스크래핑 에이전트","클라우드 백업, 테이블당 최대 10만 행","{users, plural, =1 {사용자 1명 포함} other {사용자 #명 포함}}","기본 지원"]},"growth":{"name":"Growth","tag":"데이터 보강을 자동화하는 개인 및 소규모 팀을 위한 요금제입니다.","cta":"무료로 시작하기","micro":"카드 등록이 필요하지 않습니다.","choose":"데이터를 보강하고 workflow를 자동화하려면","featuresHeading":"Starter의 모든 기능과 다음 기능이 제공됩니다:","features":["자동화(예약 및 트리거 기반)","REST API + HTTP 호출","연동(Lemlist, Pipedrive 등)","{users, plural, =1 {사용자 1명 포함} other {사용자 #명 포함}}","우선 지원"]},"scale":{"name":"Scale","tag":"GTM 시스템을 대규모로 운영하는 성장 중인 팀과 에이전시를 위한 요금제입니다.","cta":"무료로 시작하기","micro":"카드 등록이 필요하지 않습니다.","choose":"대규모 데이터베이스를 관리하고, 자체 AI 키를 사용하며, 미사용 크레딧을 유지하려면","featuresHeading":"Growth의 모든 기능과 다음 기능이 제공됩니다:","features":["크레딧 이월","AI 에이전트에서 자체 키 사용","클라우드 백업, 테이블당 최대 20만 행","전담 고객 성공 매니저","우선 지원 + 온보딩"]}},"enterprise":{"title":"Enterprise","description":"맞춤형 크레딧 규모, 보안 검토, 청구서 결제, 전담 고객 성공 매니저 및 맞춤형 온보딩을 제공합니다. 특정 요구 사항이 있는 에이전시와 대규모 팀에 적합합니다.","cta":"영업팀에 문의하기"},"comparison":{"title":"모든 기능 비교","description":"모든 요금제를 한눈에 비교해 보세요. 섹션 제목을 클릭하면 접을 수 있습니다.","groups":[{"title":"요금제","rows":[{"label":"포함된 무료 크레딧"},{"label":"팀원","values":["1","무제한 ∞","무제한 ∞","무제한 ∞"]},{"label":"우선 지원"},{"label":"온보딩"},{"label":"크레딧 이월"},{"label":"전담 고객 성공 매니저"}]},{"title":"Lead Generation 도구","rows":[{"label":"Waterfall Email Finder","description":"이름과 회사 또는 LinkedIn URL을 이용해 검증된 B2B emails를 찾습니다. 20개 이상의 제공업체를 결합하며, 찾은 email당 25크레딧만 지불합니다."},{"label":"Waterfall 전화번호 Finder","description":"LinkedIn 프로필 URL에서 휴대전화 번호를 찾습니다. 번호를 찾은 경우에만 비용을 지불합니다."},{"label":"LinkedIn 프로필 스크래퍼","description":"계정 위험 없이 LinkedIn 또는 Sales Navigator 프로필 URL에서 역할, 회사, 경력, 학력 등 최대 40개의 데이터 포인트를 가져옵니다."},{"label":"기업 데이터 보강","description":"도메인 또는 LinkedIn 페이지를 기반으로 업종, 규모, 위치, 설립 연도 등 최대 9개의 기업 데이터 포인트를 보강합니다."},{"label":"기업 도메인 Finder","description":"회사명으로 웹사이트와 도메인을 찾고 신뢰도 등급을 제공합니다."},{"label":"채용 게시판 스크래핑","description":"LinkedIn, Indeed, Glassdoor를 포함한 19개 이상의 채용 게시판에서 채용 공고를 스크래핑합니다. 직무명, 위치, 회사 등을 기준으로 필터링할 수 있습니다."},{"label":"Sales Nav 스크래퍼(본인 계정)","description":"본인의 LinkedIn 계정을 사용해 LinkedIn 또는 Sales Navigator 검색 결과에서 leads나 회사를 스크래핑합니다. lead당 10크레딧입니다."},{"label":"Sales Nav 스크래퍼(계정 불필요)","description":"본인 계정을 연결하지 않고 Sales Navigator 검색 결과에서 leads나 회사를 스크래핑합니다. lead당 20크레딧입니다."}]},{"title":"AI 및 자동화","rows":[{"label":"ChatGPT / Claude 연동(자체 키)","description":"자체 API 키를 사용해 모든 행에서 원하는 LLM prompt를 실행합니다. Datablist 크레딧은 사용되지 않습니다."},{"label":"AI 리서치 에이전트","description":"에이전트에 원하는 작업이나 질문을 전달하면 Google을 검색하고 웹사이트를 방문해 작업을 수행합니다."},{"label":"자동화","description":"일정 또는 트리거에 따라 데이터 보강과 가져오기를 자동으로 실행합니다."},{"label":"REST API + HTTP 호출","description":"프로그래밍 방식으로 데이터를 읽고 쓰며, workflow에서 외부 엔드포인트를 호출합니다."},{"label":"연동(Lemlist, Pipedrive 등)","description":"leads를 타사 서비스로 바로 전송합니다."},{"label":"AI 에이전트에서 자체 키 사용","description":"AI 에이전트에 자체 모델 API 키를 사용해 비용을 절감합니다."}]},{"title":"스프레드시트 기능","rows":[{"label":"저장 공간","values":["브라우저에만 저장","클라우드 동기화","클라우드 동기화","클라우드 동기화"]},{"label":"테이블 수","values":["∞","∞","∞","∞"]},{"label":"테이블당 가져오기 한도","values":["200만 레코드","200만 레코드","200만 레코드","200만 레코드"]},{"label":"테이블당 동기화 행 수","values":["-","10만","10만","20만(출시 예정)"]},{"label":"버전 기록(출시 예정)","values":["없음","7일","14일","30일"]},{"label":"AI 편집","values":["무료 편집 3회","무제한","무제한","무제한"]}]},{"title":"데이터 정리 기능","rows":[{"label":"단일 파일 중복 제거","description":"설정 가능한 일치 규칙을 사용해 컬렉션 내 중복 항목을 찾거나 병합 또는 삭제합니다."},{"label":"찾기 및 바꾸기","description":"특정 속성 또는 전체 컬렉션에서 값을 검색하고 바꿉니다."},{"label":"일괄 편집","description":"여러 항목을 한 번에 편집하여 값을 일괄 설정하거나 바꿉니다."},{"label":"텍스트에서 데이터 추출","description":"모든 텍스트 필드에서 emails, URL 및 전화번호를 추출합니다."},{"label":"Email 유효성 검사","description":"email 형식, 도메인 및 MX 레코드를 즉시 확인합니다. 무료로 즉시 검사할 수 있습니다."},{"label":"휴지통 및 데이터 복구","description":"실수로 삭제한 항목을 휴지통에서 복구합니다."},{"label":"다중 파일 중복 제거","description":"여러 컬렉션 또는 가져오기 데이터 전반의 중복을 한 번에 제거합니다."},{"label":"Email 검증","description":"여러 제공업체를 통해 형식, 도메인, 메일함 및 catch-all을 포함한 전체 전송 가능성을 확인합니다."},{"label":"회사명 클리너","description":"LLC와 Inc를 제거하고 대소문자를 수정해 회사명을 표준화합니다."},{"label":"전화번호 클리너","description":"전화번호 형식을 표준화하고 누락된 국가 코드를 추가합니다."},{"label":"이름 파서","description":"전체 이름을 이름과 성으로 분리하고 성별과 직함을 감지합니다."},{"label":"언어 감지","description":"모든 텍스트의 언어를 식별하고 신뢰도 점수를 제공합니다."}]}]},"credits":{"title":"크레딧 이용 방식","description":"모든 요금제에서 workflow 실행, 데이터 정리, 텍스트 추출 및 자체 API 키 사용은 항상 무료입니다. 크레딧은 email finder, 전화번호 finder, LinkedIn 스크래핑 등 유료 데이터 소스를 사용하는 데이터 보강에 사용됩니다. 무료 요금제에는 연간 500크레딧이 포함됩니다. 유료 요금제에는 결제 주기에 따른 크레딧이 포함되며, 언제든지 추가 구매할 수 있습니다.","cards":[{"title":"모든 요금제에서 무료 제공","description":"무료 요금제에는 연간 500크레딧이 포함됩니다. 유료 요금제의 크레딧 제공량은 결제 주기에 따라 달라집니다. 유료 데이터 소스를 사용하는 데이터 보강에만 크레딧이 차감됩니다."},{"title":"정기 크레딧 팩","description":"매월 더 많은 크레딧이 필요하신가요? 크레딧당 가장 유리한 요율의 정기 팩을 추가하세요. 팩이 클수록 크레딧당 가격이 낮아집니다."},{"title":"일회성 충전","description":"일시적으로 사용량이 증가할 때는 일회성 충전 팩을 구매하세요. 충전 크레딧은 만료되지 않으며, 요금제를 해지해도 유지됩니다."}],"note":"데이터 정리, 중복 제거 및 자체 API 키로 실행하는 모든 도구에는 크레딧이 사용되지 않습니다.","costsTitle":"크레딧으로 이용할 수 있는 기능","costsDescription":"가장 인기 있는 크레딧 기반 도구와 이용 비용을 확인하세요.","costs":[{"name":"기업 도메인 Finder","description":"조회당 <accent>1크레딧</accent> • 회사명으로 도메인을 빠르게 일괄 확인"},{"name":"AI 리서치 에이전트","description":"<accent>사용량 기반</accent> • 자체 API 키 사용 시 무료 및 무제한"},{"name":"Sales Navigator 스크래퍼","description":"내보낸 lead당 <accent>10~20크레딧</accent> • 검증된 email 및 기업 인텔리전스"},{"name":"Waterfall Email Finder","description":"찾은 email당 <accent>25크레딧</accent> • 결과가 있을 때만 과금(찾지 못하면 0크레딧)"},{"name":"LinkedIn 프로필 스크래퍼","description":"프로필당 <accent>25크레딧</accent> • 경력, 직무 이력 및 연락처 데이터 스크래핑"},{"name":"채용 게시판 스크래핑","description":"공고당 <accent>10크레딧</accent> • 직무명, 회사, 급여 및 위치 추출"}]},"topup":{"title":"일회성 충전 규모 선택","description":"맞춤 수량 없이 정해진 팩만 제공되므로, 표시된 금액 그대로 결제됩니다.","question":"크레딧이 얼마나 필요하신가요?","credits":"크레딧","summary":"요약","oneTime":"일회성","rate":"1,000크레딧당 {rate}","delivered":"{label} ({amount})","offRate":"기본 요율 대비 {discount}% 할인","baseRate":"기본 요율(1천 크레딧당 {rate})","labels":["제공 크레딧","적용 구간","만료","결제 통화"],"never":"만료 없음","cta":"지금 구매 →","tiles":[{"title":"필요할 때 결제","description":"유료 요금제가 필요합니다. 필요한 경우에만 크레딧을 구매하세요."},{"title":"요금제와 합산","description":"월간 요금제의 기본 제공량에 추가됩니다."},{"title":"즉시 지급","description":"결제가 확인되는 즉시 크레딧이 지급됩니다."}],"tierLabels":["20k","40k","60k","80k","100k","120k","140k","200k","300k","500k","750k","1M","1.25M","1.5M"]},"faq":{"title":"자주 묻는 질문","items":[{"question":"크레딧이란 무엇이며, 어떤 기능에서 사용되나요?","answer":"크레딧은 Datablist의 내부 통화입니다. 유료 데이터 소스를 호출하는 데이터 보강 기능(email 및 전화번호 finder, 스크래퍼, LinkedIn, 기업 데이터, 번역)에 크레딧이 사용됩니다. 데이터 정리, 중복 제거 및 자체 API 키를 사용하는 도구에는 크레딧이 사용되지 않습니다."},{"question":"크레딧은 만료되거나 이월되나요?","answer":"요금제 크레딧은 결제 주기에 맞춰 갱신되며 이월되지 않습니다. 충전 크레딧은 만료되지 않습니다."},{"question":"정기 애드온과 일회성 충전의 차이는 무엇인가요?","answer":"정기 애드온은 더 유리한 크레딧당 요율로 매월 크레딧을 충전하므로 꾸준히 사용할 때 적합합니다. 일회성 충전은 일시적인 사용량 증가를 위한 단일 구매이며 만료되지 않습니다."},{"question":"자체 API 키를 사용할 수 있나요?","answer":"예. 모든 요금제에서 LLM 도구(ChatGPT, Claude, Gemini 등)를 자체 키로 무료 실행할 수 있습니다. Starter 이상에서는 Apollo, PeopleDataLabs, Moz 및 Bing도 자체 키로 실행할 수 있습니다."},{"question":"데이터 작업에 요금이 부과되나요?","answer":"아니요. 중복 제거와 정리 같은 데이터 작업은 무료입니다. 데이터 보강에는 데이터 크레딧만 사용되며, 별도의 작업 크레딧은 추가로 부과되지 않습니다."},{"question":"결과를 찾은 경우에만 과금되는 데이터 보강 기능은 무엇인가요?","answer":"대부분의 finder(email, 전화번호, 개인 email)는 결과가 있을 때만 과금되므로, 찾지 못한 경우에는 비용을 지불하지 않습니다. 일부 데이터 보강 기능은 시도할 때마다 과금됩니다. 전체 상세 내역은 도움말 센터에서 확인하세요."},{"question":"무료 500크레딧은 어떻게 받을 수 있나요?","answer":"비즈니스 email 주소로 Datablist에 가입하면 무료 500크레딧을 받을 수 있습니다."}]},"accessibility":{"included":"포함","notIncluded":"미포함"}}},"Logos":{"SUBTITLE":"귀사도 훌륭한 기업들과 함께하게 됩니다"},"LocaleSwitcher":{"label":"언어 변경"},"ThemeSwitcher":{"LABEL":"테마","LIGHT":"라이트","DARK":"다크","AUTO":"자동"},"TalkToUs":{"TITLE":"저희가 매주 3~5시간을 더 드린다면 무엇을 하시겠습니까?","SUBTITLE":"Datablist를 한 번 사용해 보시고 workflow 자동화가 얼마나 쉬운지 확인해 보세요. 이미 18,000명 이상의 사용자가 경험하고 있습니다!","CTA":"문의하기","START_FOR_FREE":"무료로 시작하기!"}},"now":"$undefined","timeZone":"UTC","children":["$","$L1e",null,{"children":[["$","$L1f",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":"$undefined"}]}],"$L20",["$","$L21",null,{}]]}]}] </article></body></html>

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