{"repo":"michaelelizarov/linkedin-osint-toolkit","free":true,"listed":false,"github":"https://github.com/michaelelizarov/linkedin-osint-toolkit","clone":"git clone https://github.com/michaelelizarov/linkedin-osint-toolkit.git","description":"Full-stack LinkedIn OSINT toolkit. Four-phase funnel: discover companies by region, batch scrape employees, classify roles by hierarchy/department, and deep dive into profiles. Interactive D3.js org chart viewer, Groq AI enhancement, anti-detection stealth, proxy support, and graceful partial-save on interruption.","language":"Python","stars":40,"topics":["anti-detection","browser-automation","cybersecurity","intelligence-gathering","linkedin","org-chart","osint","python","reconnaissance","scraping"],"license":"MIT","category":"scrapers-browser-automation","readme_excerpt":"LinkedIn OSINT Toolkit An OSINT toolkit for discovering companies by region, scraping their employee data, and building organizational charts with role classification. The toolkit follows a four-phase funnel: discover target companies in any region, scrape their employee data from LinkedIn, classify each person's role by hierarchy and division, and optionally deep dive into individual profiles. A single unified script ( osint funnel.py ) chains all phases with one browser session. Results are explored in the interactive viewer ( src/org chart viewer.html ). For a detailed look at the architecture, see the Architecture document. Features - OSINT Company Discovery - Find companies in any region via LinkedIn search (configurable geo codes) - Employee Scraping - Extract employee names, titles, and profile URLs from company pages - Role Classification - Classify job titles by hierarchy (Executive to Junior) and division (Cyber, IT, Finance, etc.) - Org Chart Generation - Build structured organizational data and interactive visualizations - Batch Support - Optionally process multiple companies with session management - Profile Deep Dive - Extract detailed profile data (about, experience, education, skills) - AI Enhancement - Optional Groq LLM integration for smarter classification and relevance scoring ( --use-ai ) - Anti-Detection / Stealth - Browser fingerprint evasion: UA rotation, viewport randomization, WebDriver hiding, human-like timing, WebRTC/telemetry disabling - Proxy Su","default_branch":null,"files":null,"tree":[],"storefront":"/r/michaelelizarov","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/michaelelizarov/linkedin-osint-toolkit/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}