MCP Server for Baidu Data Extraction

Use Bright Data’s enterprise-grade MCP Server to scrape only public Baidu data. Extract, analyze, and process public search results, snippets, website titles, URLs, and trending topics—quickly, reliably, and at scale.

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The Ultimate MCP Tool to Scrape Baidu Data

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One MCP for the Web

Bright Data MCP for Baidu lets you extract public search results, URLs, snippets, images, news, and trend data.
Search
  • Extract up-to-date public search results, URLs, images, news, and trends from Baidu
  • Target search queries by region, language, or topic for localized market analysis and discovery
  • Collect structured Baidu SERP URLs, snippets, related searches, images, and metadata for deeper insights
Crawl
  • Let agents crawl and aggregate comprehensive Baidu search results, images, news, and answer cards
  • Output Baidu data in agent-ready formats for analytics, LLM workflows, or trend monitoring
  • Effortlessly scale Baidu public data extraction for research, intelligence, or large-scale projects
Access
  • Provide agents with reliable, real-time access to public Baidu results, images, and trending topics
  • Automatically handle geo-restrictions, dynamic pages, and script-driven elements for smooth crawling
  • Render Baidu's JavaScript-powered pages for up-to-date and complete search data
Navigate
  • Automate agent actions for monitoring new trends, search ranking changes, and Baidu news updates
  • Use remote browser sessions for seamless, large-scale public Baidu data collection
  • Simulate real user search patterns to access data and bypass Baidu anti-bot mechanisms
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Baidu MCP Server FAQs

The Baidu MCP Server is a specialized integration that empowers your AI agents to access real-time public data from Baidu. It acts as a bridge, allowing tools like Claude, Cursor, and custom LLMs to search, extract, and interact with Baidu 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 Baidu without getting blocked.

The data is completely real-time. Unlike databases that can become outdated, the Baidu MCP fetches live content directly from the source at the moment of request, ensuring your AI agents act on the most current pricing, posts, or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 Baidu 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 Baidu 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 Baidu 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 Baidu 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 Baidu, including deep structured data extraction and advanced browser automation tools designed for large-scale production environments.

Absolutely. The Baidu 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 Baidu data as structured JSON objects for precise analysis or as simplified Markdown text optimized for LLM context windows.