LinkedIn Scraper

This Model Context Protocol (MCP) server offers robust LinkedIn profile scraping capabilities, allowing users to extract detailed professional data such as name, headline, location, about section, experience, education, skills, and contact information. It stands out by facilitating manual credential input directly within tool calls, eliminating the need for environment variables. Leveraging Selenium WebDriver with Chrome, it ensures reliable browser automation while incorporating anti-detection measures like human-like delays for discreet operation.

Key Features

Use Cases