Web Scraping MCP Servers

Compare MCP servers for page extraction, crawling, structured data scraping, browser rendering, and agent workflows that need reliable web data.

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Web Scraping MCP Server

Fetch any public web page through managed proxies, with optional JS rendering and extraction rules.

Unified MCP server giving any AI agent access to 20+ social platforms, web search, scraping, and crypto data — one install, any MCP client.

CrawlForge MCP is a production-ready MCP server with 18 web scraping tools for AI agents. It gives Claude, Cursor, and any MCP-compatible client the ability to fetch URLs, extract structured data with CSS/XPath selectors, run deep multi-step research, bypass anti-bot detection with TLS fingerprint randomization, process documents, monitor page changes, and more. Credit-based pricing with a free tier (1,000 credits/month, no credit card required).

The Import.io Web Scraper MCP server brings hosted scraping, browser automation, proxy routing, captcha handling, and structured data extraction into your AI tools. Point Claude, ChatGPT, Cursor, or any MCP client at our hosted endpoint. Import.io runs the scraping engine, you just connect.

Opengraph data, web scraping, screenshot features in a handy MCP tool

20+ pay-per-request APIs for AI agents — screenshots, web scraping, PDF, OCR, search, QR codes, translation & more. No API keys needed. Pay with USDC via x402. npm: @pylonapi/mcp

EasyGroupFlights MCP

Remote MCP for real group airfare quotes (10+ pax) via https://easygroupflights.com/ — IATA specialists, not OTA scraping. Endpoint https://mcp.easygroupflights.com/mcp

Open Crawler MCP Server

A web crawler and text extractor with robots.txt compliance, rate limiting, and page size protection.

Open Crawler MCP Server

A web crawler and content extractor that supports multiple output formats like text, markdown, and JSON.

Checks whether a WordPress site (or any site) is ready to be safely operated by AI agents: llms.txt, AI-crawler robots.txt directives, schema.org markup, and a WebMCP manifest. Live-checked, never self-reported.

Adds powerful web scraping and search capabilities to LLM clients like Cursor and Claude.

MewCP Firecrawl MCP

Hosted, Stateless & Multitenant Firecrawl MCP server enables AI assistants to crawl, scrape, and extract structured web data through Firecrawl.

Where Web Scraping MCP fits

Extract structured page data for research, lead enrichment, monitoring, and internal datasets.

Combine crawling, search, and browser rendering when agents need more than a single static page.

Route scraping through purpose-built APIs or controlled browser sessions instead of ad hoc scripts.

Setup checklist

1Choose a scraping server based on whether you need static extraction, JavaScript rendering, crawling, or proxy-backed APIs.
2Configure API keys, proxy settings, browser permissions, and rate limits with the smallest useful scope.
3Add the server command or remote endpoint to your MCP client configuration.
4Test a small extraction task and confirm the output includes source URLs, limits, and the structured fields you expect.

How to choose

Check support for JavaScript rendering, pagination, crawling depth, selectors, screenshots, retries, and timeouts.
Prefer servers that return source-aware structured data and make request limits visible.
Use dedicated scraping APIs for scale or anti-bot complexity, and browser automation for interactive or visual workflows.

Web Scraping MCP FAQ

What is Web Scraping MCP?

Web Scraping MCP connects an AI client to extraction, crawling, or browser-rendering tools so agents can fetch pages and turn web content into structured data through MCP.

How is Web Scraping MCP different from Browser Automation MCP?

Web scraping focuses on extraction, crawling, and data pipelines. Browser automation focuses on interaction, UI state, testing, and live page control. They overlap when a site needs JavaScript rendering or logged-in sessions.

Is web scraping with MCP safe?

It is safest when you rate-limit requests, respect site terms and robots policies, avoid sensitive data, and keep long-running jobs scoped to approved domains.