scraperapi/scraperapi-mcp

Overview

A Model Context Protocol server that lets LLMs send web scraping requests through ScraperAPI. It handles proxy rotation, CAPTCHA solving, and JavaScript rendering so the AI can retrieve page content without managing anti-bot infrastructure.

Best for

Best for
Developers building AI agents that need reliable web scraping without manually handling anti-bot measures

Use cases

• Extract data from JavaScript-heavy websites within an AI agent workflow
• Scrape pages that require proxy rotation or CAPTCHA bypass
• Integrate structured web scraping into automated research or data pipelines

How to use

Install

pip install scraperapi-mcp-server

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, VS Code

Example client config

{\n  "mcpServers": {\n    "ScraperAPI": {\n      "command": "python",\n      "args": ["-m", "scraperapi_mcp_server"],\n      "env": {\n        "API_KEY": "<YOUR_SCRAPERAPI_API_KEY>"\n      }\n    }\n  }\n}

Notes

A Model Context Protocol server that lets LLMs send web scraping requests through ScraperAPI. It handles proxy rotation, CAPTCHA solving, and JavaScript rendering so the AI can retrieve page content without managing anti-bot infrastructure.

4 stars on GitHub. Last updated 2026-04-08. Licensed MIT.

Use cases

• Extract data from JavaScript-heavy websites within an AI agent workflow
• Scrape pages that require proxy rotation or CAPTCHA bypass
• Integrate structured web scraping into automated research or data pipelines

Pros

• Eliminates the need to manage proxies, CAPTCHAs, and browser automation
• Works with JavaScript-rendered content out of the box
• Simple drop-in integration via the MCP protocol for any MCP-compatible client

Cons

• Requires a paid ScraperAPI subscription beyond the free tier
• Limited to ScraperAPI’s supported sites and subject to their rate limits
• Depends on the MCP ecosystem and a Python runtime environment

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.