MCP Server for LinkedIn Data Extraction

Connect to LinkedIn and the entire web with Bright Data’s enterprise-grade MCP Server for scraping. Extract, analyze, and process real-time LinkedIn data easily and at scale.

Get StartedTry the Playground
No credit card required

The Ultimate MCP Tool to Scrape LinkedIn Data

Get Started Check the Repo

Want to try the LinkedIn MCP without setting up anything?

Visit playground on Smithery

One MCP for the Web

Bright Data MCP for LinkedIn is your all-in-one solution for real-time data extraction, job and profile automation, and reliable access to LinkedIn—no blocks.
Search
  • Extract real-time LinkedIn profiles, jobs, and company data
  • Target specific countries or industries for focused LinkedIn insights
  • Capture full LinkedIn URLs and content for downstream analysis
Crawl
  • Crawl and extract LinkedIn at scale—profiles, jobs, and more
  • Export LinkedIn data in structured formats for easy integration
  • Effortlessly scale LinkedIn data extraction from a few leads to millions
Access
  • Access LinkedIn info past restrictions and capture every detail
  • Overcome geo-limits and automate bypass of LinkedIn CAPTCHAs
  • Retrieve dynamic sections and JavaScript-rich LinkedIn content
Navigate
  • Automate LinkedIn profile visits, searches, and workflows
  • Launch smart browser sessions for reliable, scalable LinkedIn scraping
  • Mimic human behavior to avoid detection and blocks
Get Started Check the Repo
get inspired

See what people are building

Discover more

Ready to Supercharge LinkedIn Scraping?

Get started with LinkedIn MCP Server in minutes. No setup required.

Try it now
No credit card required

LinkedIn MCP Server FAQs

The LinkedIn MCP Server is a specialized integration that empowers your AI agents to access real-time public data from LinkedIn. It acts as a bridge, allowing tools like Claude, Cursor, and custom LLMs to search, extract, and interact with LinkedIn content dynamically.

Built on Bright Data's robust infrastructure, the Web MCP Server handles the complexities of web data extraction behind the scenes. It automatically manages proxy rotation, CAPTCHA solving, and unlocking technology to ensure your AI receives structured, reliable data from LinkedIn without getting blocked.

The data is completely real-time. Unlike databases that can become outdated, the LinkedIn MCP fetches live content directly from the source at the moment of request, ensuring your AI agents act on the most current pricing, posts, or profile information available.

Yes! We offer a generous free tier that includes 5,000 requests per month. This allows developers and businesses to test the LinkedIn MCP Server, build prototypes, and perform light data extraction at no cost before scaling up.

Yes. Beyond retrieving static data, the server supports full browser automation. Your agents can be instructed to navigate LinkedIn pages, click buttons, handle infinite scrolling, and even take screenshots, enabling complex workflows that simulate real user behavior.

You have the choice. You can use our fully managed Remote MCP for instant access with zero infrastructure setup, or you can deploy the Local MCP if you require on-premise control and custom environment configurations for your LinkedIn projects.

Our Web MCP Server is designed for seamless integration with popular AI clients. It works natively with Claude Desktop, Cursor, Windsurf, and diverse agentic frameworks like LangChain, making it easy to add LinkedIn data capabilities to your existing workflows.

Rapid mode is free and ideal for everyday tasks like SERP lookups and basic text extraction. Pro mode unlocks premium capabilities for LinkedIn, including deep structured data extraction and advanced browser automation tools designed for large-scale production environments.

Absolutely. The LinkedIn MCP Server is built with strict adherence to data protection regulations, including GDPR and CCPA. We only access publicly available web data, ensuring your AI operations remain compliant and ethically sound.

The server delivers data in clean, AI-ready formats. Depending on your specific needs, you can retrieve LinkedIn data as structured JSON objects for precise analysis or as simplified Markdown text optimized for LLM context windows.