LinkedIn Spider
Automate comprehensive and undetectable LinkedIn data extraction, including profiles, companies, and connections, through a Python library, CLI, or dedicated server.
Acerca de
LinkedIn Spider is a robust tool engineered for seamless and stealthy data collection from LinkedIn. It provides powerful capabilities to search profiles using advanced filters, extract extensive details like experience, education, skills, and contact information, and gather in-depth company insights. Beyond data retrieval, it facilitates connection management by enabling sending and retrieving requests and accessing conversation histories. With built-in anti-detection mechanisms and session management, it offers reliable performance across its flexible interfaces: a Python library for integration, a command-line interface for quick tasks, and an MCP server for broader application integration.
Características Principales
- Advanced LinkedIn profile searching with filters (location, company, position)
- Detailed extraction of profile, company, and conversation data
- Ability to send and retrieve LinkedIn connection requests
- Integrated anti-detection and persistent session management
- Multiple interfaces: Python library, CLI, and MCP server
- 4 GitHub stars
Casos de Uso
- Integrating LinkedIn data acquisition into custom Python applications
- Rapidly extracting specific LinkedIn data points using command-line commands
- Setting up a dedicated server for automated LinkedIn interactions and integrations
