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        "reasonForChange": "Price decrease: LinkedIn company pages now cost $6.49 per 1,000 (was $23.90).",
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    ],
    "notice": "NONE",
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    "isSourceCodeHidden": true,
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    "actorPermissionLevel": "LIMITED_PERMISSIONS",
    "readmeSummary": "## LinkedIn Leads Scraper\n\nA LinkedIn-focused lead generation and data-extraction Actor that finds and scrapes public LinkedIn profiles, company pages, job listings and posts, and produces structured, keyword-searchable lead and company data plus live-verified professional work emails. It can perform a keyword/role/location search of public LinkedIn pages via Google x‑ray to discover people or companies, scrape full profile and company details (career history, education, company metadata, headcount, HQ, website), capture job listing metadata and post engagement, and derive and verify corporate email addresses using name + company with live SMTP checks and domain deduction. Operates in two modes—search (discover leads without providing URLs) and direct URL scraping (one row per LinkedIn page); supports company→decision‑maker discovery, per‑record billing, result caching, and produces output suitable for CRM enrichment, recruiting databases, market research and data/ML pipelines.\n\n## Use cases\n\n- Building prospect and outbound lead lists by job title, industry and location as a Sales/SDR workflow alternative to lead databases or Sales Navigator.  \n- Enriching CRM contact records with up-to-date job title, employer and seniority information for RevOps and CRM owners.  \n- Bulk candidate profile collection for recruiters, including experience, education and activity.  \n- Discovering decision makers at target companies (company → CEO/head of sales/recruiter) in a single run.  \n- Market research and investor workflows collecting company metadata (industry, size, headquarters, follower and employee counts).  \n- Job-market analysis and hiring-signal detection by scraping job listings and applicant counts.  \n- Social and content analytics by extracting posts, post text, engagement metrics and top comments.  \n- Feeding structured LinkedIn-derived data and verified professional emails into data, AI and RAG/agent pipelines for scoring, enrichment and automation.",
    "deploymentKey": "ssh-rsa AAAAB3NzaC1yc2EAAAADAQABAAABAQDi1ZqNTy01f3V8vjoduJvEvvv4ZZBfOpqfQ6rHYQ3fVwTTcrMyFVXQRpQPHOtjN1b3jfVleRM9KODK6TRs7Q2Mm63uivCLu/J4SxUpiEpISwPkMh2sITerGK4HssiFUFzkRpycS+E46oTxV+3+8SU/W4bZl3Exqpct0SdWAkb90ELcUtp/F+/FZyYuGAIw6n1YnRJeHIwURoV5MROjLQkc+gZvdAcmB7ca1Jfvdzg2vMZvXTPKGUHnIKvhAcjgvi2tzsLXG91BjsRpiyCuCtCKFtzp1djj5uhyussMXpCLMsZO/IRkJqU3M7EK+Z6+Yx4bqhpvG4GnxhlNoLU+VVTd \n"
  }
}