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    "name": "linkedin-guest-view-profile-data-extractor",
    "username": "vexaloom-labs",
    "description": "Extract names, headlines, work history, education, certifications, honors, volunteer work, projects, and follower counts from public LinkedIn profiles, with optional current-employer enrichment. No login or cookies required.",
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    "createdAt": "2026-10-13T06:11:48.844Z",
    "modifiedAt": "2026-10-13T06:12:08.221Z",
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        "buildNumber": "1.0.1"
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      "totalRuns": 4,
      "totalUsers": 2,
      "totalUsers7Days": 1,
      "totalUsers30Days": 1,
      "totalUsers90Days": 1,
      "lastRunStartedAt": "2026-10-16T06:14:44.176Z",
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      "publicActorRunStats30Days": {
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    "exampleRunInput": {
      "body": "{ \"helloWorld\": 123 }",
      "contentType": "application/json; charset=utf-8"
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    "categories": [
      "SOCIAL_MEDIA",
      "LEAD_GENERATION",
      "AUTOMATION"
    ],
    "isDeprecated": false,
    "title": "LinkedIn Guest-View Profile Data Extractor",
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    "isCritical": false,
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    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## LinkedIn Guest-View Profile Data Extractor\n\nA LinkedIn profile scraping Actor that reads the public, guest-view version of LinkedIn profiles (as seen by an anonymous, logged-out visitor) and returns structured profile records for each supplied profile URL or username. It extracts identity and professional metadata including name, headline, location, profile picture, summary, full work history (current and past employers and job titles), education entries, certifications, honors and awards, test scores, organization memberships, volunteer experience, projects, listed websites, follower counts, and recent articles/posts; it can optionally enrich the current employer by fetching the company's LinkedIn page to add company metadata such as employee count/size, industry, headquarters, website, specialties and logo. The Actor operates by normalizing various profile URL formats and regional LinkedIn domains, scraping only the HTML served to logged-out visitors, cross-checking that extracted data belongs to the requested profile and omitting fields that are redacted on the guest view, producing one structured row per profile plus run-level status summaries with failure-reason breakdowns and timestamps.\n\n## Use cases\n\n- Lead generation and sales prospecting: enrich lists of LinkedIn profiles with current role, employer and company details  \n- Recruiting and talent sourcing: build candidate shortlists and verify work history, education and certifications at scale  \n- Sales intelligence: track role and company changes for contacts at target accounts  \n- CRM enrichment: append verified profile and employer fields to contact records  \n- Academic and market research: analyze career trajectories, credentials and industry trends across large profile samples  \n- Background and credential checks: cross-reference publicly listed honors, certifications and project history",
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}