LinkedIn Scraper
Scrapes LinkedIn profiles to extract comprehensive professional data including experience, education, skills, and contact information.
Acerca de
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.
Características Principales
- Manual credential input for LinkedIn authentication
- Includes anti-detection measures with human-like delays and browser settings
- Comprehensive extraction of name, headline, experience, education, skills, and contact info
- Utilizes Selenium WebDriver with Chrome for browser automation
- Supports multiple transport methods (HTTP and STDIO)
- 2 GitHub stars
Casos de Uso
- Populating internal databases with LinkedIn profile details
- Collecting candidate information for recruitment purposes
- Gathering public professional data for market research
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