LinkedIn Scraper
This LinkedIn profile scraper MCP server provides AI assistants with automated LinkedIn profile data extraction capabilities through Selenium WebDriver automation. Built with TypeScript and featuring both HTTP and STDIO transport options, it uses Chrome browser automation to log into LinkedIn with provided credentials and systematically scrape profile information including personal details, work experience, education, skills, and contact information. The implementation includes anti-detection measures, progressive scrolling to load dynamic content, and robust error handling for various LinkedIn page layouts. It serves developers and researchers who need programmatic access to LinkedIn profile data for recruitment, lead generation, or professional network analysis, offering both headless and visible browser modes for different deployment scenarios.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- devops-ci
- Source
- PulseMCP
- Repository
- github.com/superyuser/linkedin-scraper-mcp
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve LinkedIn Scraper from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.