MCP Server for Yelp Data Extraction

Use Bright Data’s enterprise-grade MCP Server to scrape only public Yelp data. Extract, analyze, and process public business profiles, reviews, ratings, photos, and location data—quickly, reliably, and at scale.

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The Ultimate MCP Tool to Scrape Yelp Data

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One MCP for the Web

Bright Data MCP for Yelp lets you extract only public business listings, reviews, ratings, addresses, categories, and contact details—never private or login-required content.
Search
  • Extract up-to-date public business listings from Yelp, including names, categories, addresses, and reviews
  • Target businesses by region, category, or rating for localized research and competitive insights
  • Collect structured URLs, ratings, review counts, contact info, and hours for deep business analysis
Crawl
  • Let agents crawl full sets of Yelp business profiles, reviews, and ratings—not just individual listings
  • Output Yelp data in agent-ready formats for integration into local analytics or review monitoring workflows
  • Effortlessly scale Yelp public data collection to match any research or business intelligence need
Access
  • Give agents reliable access to public Yelp listings, reviews, ratings, categories, and business hours
  • Automatically handle geo-restrictions, CAPTCHAs, and dynamic content for fast and smooth data extraction
  • Render JavaScript-powered Yelp pages for accurate and comprehensive results
Navigate
  • Automate agent actions to monitor new reviews, ratings changes, and business updates on Yelp
  • Use remote browser sessions for seamless public data collection from Yelp at scale
  • Simulate real user behavior to bypass advanced Yelp anti-bot measures for reliable data access
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Yelp MCP Server FAQs

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

The data is completely real-time. Unlike databases that can become outdated, the Yelp 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 Yelp 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 Yelp 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 Yelp 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 Yelp 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 Yelp, including deep structured data extraction and advanced browser automation tools designed for large-scale production environments.

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