WebScraping.AI MCP Server

Example Use Cases

• 1

  Extract structured data (e.g., product title, price, description) from web pages including JS-rendered content.

• 2

  Ask natural-language questions about a page's content or retrieve full HTML/plain text for context-aware responses.

• 3

  Controlled scraping with proxy selection, device emulation, custom JavaScript execution, and concurrency/rate-limit handling.

Description

This server implements the Model Context Protocol to let LLMs call WebScraping.AI tools for web data extraction, question answering about pages, and structured field extraction. It supports JavaScript rendering via headless Chrome, CSS selector scraping, custom JS execution, device emulation, proxy selection (datacenter/residential and country), and concurrent request management with rate limiting. The MCP wrapper makes these capabilities easy to integrate into agent workflows and LLM platforms like Cursor or Claude.