2 tools
LinkedIn is the definitive source for professional open-source research, mapping people to employers, roles, education, and connections. Tools in this category help you extract public profile data, enumerate connections and endorsements, and map the relationships within and between organizations. For due diligence, recruiting research, and verifying someone's professional background, LinkedIn often provides the clearest and most reliable trail.
LinkedIn actively restricts scraping and can detect and block automated access, so choose tools carefully, favor public data, and understand that aggressive extraction may violate the platform's terms and risk account bans. Verify employment and titles against company sources, since profiles are self-reported and occasionally inflated or fabricated. Fake professional profiles do exist, often using stock or stolen headshots, so when a profile hinges on its photo, a reverse face search can reveal whether that face is genuinely tied to the claimed identity or reused elsewhere.
Tool that allows you to draw out relationships between people on LinkedIn via endorsements/skills.
Script to dump/scrape/extract company employees info from LinkedIn API.
You can review and record information from public profiles, but automated scraping violates LinkedIn's terms and can trigger detection and account restrictions. Many investigators rely on careful manual review supplemented by cautious use of tools. Whatever the method, stick to public data and comply with the platform's rules and applicable privacy law.
Cross-check the claimed role and company against the employer's official website, press releases, and other directories, since LinkedIn profiles are self-reported. Look at connection quality, endorsements from colleagues, and account age. Consistency across independent sources is the strongest signal; a single unverified profile should not be taken at face value.
Watch for stock or AI-generated headshots, sparse or generic job histories, few genuine connections, and companies that cannot be independently confirmed. Fabricated profiles are common in recruiting scams and social engineering. Running the profile photo through a reverse face search can reveal whether the image is stolen or reused, a clear warning sign.
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