MCP Server for Pinterest Data Extraction

Use Bright Data’s enterprise-grade MCP Server to scrape only public Pinterest data. Extract, analyze, and process public pins, boards, profiles, topics, trends, and comments—quick, reliable, and at scale.

Get StartedTry the Playground
No credit card required

The Ultimate MCP Tool to Scrape Pinterest Data

Get Started Check the Repo

Want to try the Pinterest MCP without setting up anything?

Visit playground on Smithery

One MCP for the Web

Bright Data MCP for Pinterest lets you extract only public pins, boards, profiles, trends, and comment data—never private or login-required content.
Search
  • Find public pins by keyword, topic, or hashtag
  • Extract pin URLs, descriptions, images, and stats
  • Get board names, creator info, follower counts
Crawl
  • Crawl public boards for themes, topics, and pins
  • Export public comments, categories, and pin engagement
  • Monitor trending pins, popular topics, and repins
Access
  • Access only public Pinterest data—never DMs or private boards
  • Bypass open-access limits—no login or cookies needed
  • Collect real-time engagement, trends, public comments
Navigate
  • Automate browsing across boards, topics, trends, and categories
  • Bulk extract pins, comments, public follower data
  • Emulate user navigation—never enter private zones
Get Started Check the Repo
get inspired

See what people are building

Discover more

Ready to Supercharge Pinterest Scraping?

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

Try it now
No credit card required

Pinterest MCP Server FAQs

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

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 Unlike databases that can become outdated, the Pinterest MCP fetches live content directly from the source at the moment of request, ensuring your AI agents act on the most current pricing, posts, or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

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