{ "data": { "id": "nASrNNv6xoUbLP7Dk", "actId": "GlxYrQp6f3YAzH2W2", "userId": "Ex2vGNgmjuqUeMFna", "startedAt": "2026-10-12T17:35:43.115Z", "finishedAt": "2026-10-12T17:36:08.735Z", "status": "SUCCEEDED", "meta": { "origin": "WEB" }, "stats": { "durationMillis": 25536, "runTimeSecs": 25.536, "computeUnits": 0.028373333333333334, "imageSizeBytes": 563855872 }, "options": { "useCache": true, "betaPackages": false, "memoryMbytes": 4096, "diskMbytes": 8192 }, "exitCode": 0, "inputSchema": "{\n \"schemaVersion\": 1,\n \"title\": \"LinkedIn Profile Scraper Input Configuration\",\n \"description\": \" HOW TO USE LEADS SCRAPER ACTOR - OLD TUTORIAL (1:50)\\n\\n\\nšŸŒ Use our all new FILTER BUILDER WEBSITE to generate your JSON, then paste it here: \\n\\n\\nšŸ”— RECOMMENDED ACTOR:\\nā€¢ Realtor -$1/1K Real estate agent leads scraper\\n ā€¢ Company Leads Scraper similar to Apollo, LinkedIn\\n\\n\\nšŸ¤ Support Email: peakydev00@gmail.com\\n\\n\\n\\n-- OPTION 2\\n Apply filters directly here šŸ‘‡\",\n \"type\": \"object\",\n \"properties\": {\n \"profileUrls\": {\n \"title\": \"LinkedIn Profile Urls (50k max - one per entry)\",\n \"type\": \"array\",\n \"editor\": \"stringList\",\n \"items\": {\n \"type\": \"string\"\n },\n \"prefill\": [\n \"https://www.linkedin.com/in/williamhgates\"\n ],\n \"maxItems\": 50000,\n \"description\": \"Enter your linkedIn profile urls\"\n }\n },\n \"required\": [\n \"profileUrls\"\n ]\n}", "readme": "# šŸ” LinkedIn Profile Scraper (Emails guaranteed)\n\n**Input a list of LinkedIn profile links. Get back real contact details ā€” name, title, company details, email, phone.**\n\nNo search config. No keyword tuning. Just URLs ā†’ people.\n\n---\n\n## šŸŽÆ What you're actually getting\n\n| Field | Description |\n|---|---|\n| šŸ‘¤ Name | Full name as listed on profile |\n| šŸ‘¤ Address | User address |\n| šŸ’¼ Title | Current role |\n| šŸ”— Profile | The LinkedIn URL you submitted |\n| šŸ“§ Email | Work and/or personal, when found |\n| šŸ“± Phone | Direct number, when available |\n| šŸ¢ Company | Company details the user currently works |\n\n**Hit rates you can expect:**\n- šŸ“§ Work email\n- šŸ“§ Personal email \n- šŸ“± Phone\n\n---\n\n## āš™ļø Input\n\nOne field. That's the whole config.\n\n```javascript\n{\n \"profileUrls\": [\n \"https://www.linkedin.com/in/profile1\",\n \"https://www.linkedin.com/in/profile2\",\n \"https://www.linkedin.com/in/profile3\"\n ]\n}\n```\n\nšŸ“¦ **Max per run:** 20,000 URLs\n\n---\n\n## šŸ” Smart resume\n\n> Run got interrupted? Re-ran the same list by accident?\n\nThe Actor checks the array against previous runs. If it matches, it **picks up where it left off** instead of reprocessing everyone.\n\n- āœļø Change even one URL ā†’ treated as a fresh job, tracked from zero\n\n\n## šŸ“¦ Sample Output\nEach scraped lead is saved in a well structured format in the Apify dataset. \n
\n\n## āš ļø Disclaimer\n- While the actor does its best to retrieve email addresses for each lead, some leads may not include an email due to data availability.\n- Use responsibly and in compliance with all applicable laws, regulations, and governing policies. We assume no liability for misuse/abuse\n
\n\n## šŸ¤ Support\nNeed help? Contact us directly at peakydev00@gmail.com or open an issue on the \"Issues\" tab.\n\n> We Available to create custom scrapers tailored to your needs. Contact us today\n\n---\n\n*Made with ā¤ļø by Peaky Dev (Anonymous minds in the shadows of code)*", "actorDefinition": { "actorSpecification": 1, "name": "leads-scraper", "version": "0.1", "buildTag": "latest", "minMemoryMbytes": 256, "maxMemoryMbytes": 256, "environmentVariables": { "CRAWLEE_LOG_LEVEL": "WARNING" }, "storages": { "dataset": { "actorSpecification": 1, "views": { "overview": { "title": "Overview", "transformation": { "fields": [ "firstName", "lastName", "email", "phone", "title", "department", "seniority", "linkedinUrl", "skills", "city", "state", "country", "organizationName", "organizationWebsite", "organizationPhone", "organizationFoundedYear", "organizationIndustry", "organizationSIC", "organizationSize", "organizationEmployeeRange", "organizationRevenue", "organizationRevenueMin", "organizationRevenueMax", "organizationRevenueActualThousands", "organizationLinkedinUrl", "organizationAddress1", "organizationCity", "organizationState", "organizationZipcode", "organizationCountry", "organizationDescription", "organizationKeywords" ] }, "display": { "component": "table", "properties": { "firstName": { "label": "First Name", "format": "text" }, "lastName": { "label": "Last Name", "format": "text" }, "email": { "label": "Email", "format": "text" }, "phone": { "label": "Phone", "format": "text" }, "title": { "label": "Title", "format": "text" }, "department": { "label": "Department", "format": "text" }, "seniority": { "label": "Seniority", "format": "text" }, "linkedinUrl": { "label": "Linkedin Url", "format": "link" }, "skills": { "label": "Skills", "format": "link" }, "city": { "label": "City", "format": "text" }, "state": { "label": "State", "format": "text" }, "country": { "label": "Country", "format": "text" }, "organizationName": { "label": "Organization Name", "format": "text" }, "organizationWebsite": { "label": "Organization Website", "format": "link" }, "organizationPhone": { "label": "Organization Phone", "format": "text" }, "organizationFoundedYear": { "label": "Organization Founded", "format": "text" }, "organizationIndustry": { "label": "Organization Industry", "format": "text" }, "organizationSIC": { "label": "Organization SIC", "format": "text" }, "organizationSize": { "label": "Organization Size", "format": "text" }, "organizationEmployeeRange": { "label": "Organization Employee Range", "format": "text" }, "organizationRevenue": { "label": "Organization Revenue", "format": "text" }, "organizationRevenueMin": { "label": "Organization Revenue Min", "format": "number" }, "organizationRevenueMax": { "label": "Organization Revenue Max", "format": "number" }, "organizationRevenueActualThousands": { "label": "Organization Revenue (Thousands)", "format": "number" }, "organizationLinkedinUrl": { "label": "Organization Linkedin", "format": "link" }, "organizationAddress1": { "label": "Organization Address", "format": "text" }, "organizationCity": { "label": "Organization City", "format": "text" }, "organizationState": { "label": "Organization State", "format": "text" }, "organizationZipcode": { "label": "Organization Zipcode", "format": "text" }, "organizationCountry": { "label": "Organization Country", "format": "text" }, "organizationDescription": { "label": "Organization Description", "format": "text" }, "organizationKeywords": { "label": "Organization Keywords", "format": "text" } } } } } } }, "output": { "actorOutputSchemaVersion": 1, "title": "Leads Scraper Output", "properties": { "leads": { "type": "string", "title": "Leads Output", "template": "{{links.apiDefaultDatasetUrl}}/items" } } }, "readme": "# šŸ” LinkedIn Profile Scraper (Emails guaranteed)\n\n**Input a list of LinkedIn profile links. Get back real contact details ā€” name, title, company details, email, phone.**\n\nNo search config. No keyword tuning. Just URLs ā†’ people.\n\n---\n\n## šŸŽÆ What you're actually getting\n\n| Field | Description |\n|---|---|\n| šŸ‘¤ Name | Full name as listed on profile |\n| šŸ‘¤ Address | User address |\n| šŸ’¼ Title | Current role |\n| šŸ”— Profile | The LinkedIn URL you submitted |\n| šŸ“§ Email | Work and/or personal, when found |\n| šŸ“± Phone | Direct number, when available |\n| šŸ¢ Company | Company details the user currently works |\n\n**Hit rates you can expect:**\n- šŸ“§ Work email\n- šŸ“§ Personal email \n- šŸ“± Phone\n\n---\n\n## āš™ļø Input\n\nOne field. That's the whole config.\n\n```javascript\n{\n \"profileUrls\": [\n \"https://www.linkedin.com/in/profile1\",\n \"https://www.linkedin.com/in/profile2\",\n \"https://www.linkedin.com/in/profile3\"\n ]\n}\n```\n\nšŸ“¦ **Max per run:** 20,000 URLs\n\n---\n\n## šŸ” Smart resume\n\n> Run got interrupted? Re-ran the same list by accident?\n\nThe Actor checks the array against previous runs. If it matches, it **picks up where it left off** instead of reprocessing everyone.\n\n- āœļø Change even one URL ā†’ treated as a fresh job, tracked from zero\n\n\n## šŸ“¦ Sample Output\nEach scraped lead is saved in a well structured format in the Apify dataset. \n
\n\n## āš ļø Disclaimer\n- While the actor does its best to retrieve email addresses for each lead, some leads may not include an email due to data availability.\n- Use responsibly and in compliance with all applicable laws, regulations, and governing policies. We assume no liability for misuse/abuse\n
\n\n## šŸ¤ Support\nNeed help? Contact us directly at peakydev00@gmail.com or open an issue on the \"Issues\" tab.\n\n> We Available to create custom scrapers tailored to your needs. Contact us today\n\n---\n\n*Made with ā¤ļø by Peaky Dev (Anonymous minds in the shadows of code)*", "input": { "schemaVersion": 1, "title": "LinkedIn Profile Scraper Input Configuration", "description": " HOW TO USE LEADS SCRAPER ACTOR - OLD TUTORIAL (1:50)\n\n\nšŸŒ Use our all new FILTER BUILDER WEBSITE to generate your JSON, then paste it here: \n\n\nšŸ”— RECOMMENDED ACTOR:\nā€¢ Realtor -$1/1K Real estate agent leads scraper\n ā€¢ Company Leads Scraper similar to Apollo, LinkedIn\n\n\nšŸ¤ Support Email: peakydev00@gmail.com\n\n\n\n-- OPTION 2\n Apply filters directly here šŸ‘‡", "type": "object", "properties": { "profileUrls": { "title": "LinkedIn Profile Urls (50k max - one per entry)", "type": "array", "editor": "stringList", "items": { "type": "string" }, "prefill": [ "https://www.linkedin.com/in/williamhgates" ], "maxItems": 50000, "description": "Enter your linkedIn profile urls" } }, "required": [ "profileUrls" ] } }, "buildNumber": "0.1.278", "imageDigest": "862387baac870cad25c1cf05cb62d7c0cf968fd615e77ea6d373c4964e522c19", "actVersion": { "sourceType": "SOURCE_FILES", "buildTag": "latest", "versionNumber": "0.1" }, "usage": { "ACTOR_COMPUTE_UNITS": 0.028373333333333334 } } }