LinkedIn Spider
Extracts LinkedIn profile data, company information, and connection details using advanced anti-detection web scraping techniques
LinkedIn Spider MCP provides AI assistants with comprehensive LinkedIn data extraction capabilities through a sophisticated web scraping engine built by Aman Kumar Singh. The implementation uses advanced anti-detection techniques including human-like behavior simulation, randomized delays, persistent browser profiles, and adaptive element detection to bypass LinkedIn's automated monitoring systems while maintaining reliable data extraction. It supports profile scraping (experience, education, skills), company information retrieval, connection management, conversation history access, and advanced search with filters for location, industry, and connection type, making it valuable for recruitment automation, lead generation, market research, and professional network analysis workflows.
Source
Repository: https://github.com/vertexcover-io/linkedin-spider
Maintain LinkedIn Spider?
Let people know it's listed here — add the badge (live metrics, light/dark aware) or a plain link to your README or docs.
[](https://getagentictools.com/mcp/vertexcover-io-linkedin-spider?ref=badge) Related mcp
EventCatalog Provides a dynamic event catalog server for querying and retrieving architectural metadata, enabling developers to explore complex
SmartLead Integrates with SmartLead's cold email outreach platform to manage campaigns, leads, email accounts, and analytics with smart tool
Centauri Elegoo Centauri Carbon 3D printer control via reverse-engineered SDCP v3 WebSocket protocol.
IPFS Storacha Network Enables AI access to the IPFS Storacha Network for decentralized file storage, content addressing, and persistent data management
foehn Access Swiss meteorological open data from MeteoSwiss, including weather stations, radar imagery, hail maps, and climate forecasts
Simple OpenAI Assistant Create and manage conversations with OpenAI assistants.