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WebScraping.AI MCP Server

@webscraping-ai

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Basic information

Category

Other

Transports

stdio

Author

webscraping-ai

About WebScraping.AI MCP Server

A Model Context Protocol (MCP) server implementation that integrates with WebScraping.AI for web data extraction capabilities.

#scraping#web#http#html#parsing#extraction#data

WebScraping.AI MCP Server config

Add this server to your MCP-compatible client using the configuration below.

{
  "mcpServers": {
    "WebScraping.AI": {
      "command": "npx",
      "args": [
        "-y",
        "webscraping-ai-mcp"
      ],
      "env": {
        "WEBSCRAPING_AI_API_KEY": "test-api-key"
      }
    }
  }
}

WebScraping.AI MCP Server tools

7

Overview

What is WebScraping.AI MCP Server?

A Model Context Protocol (MCP) server that integrates with WebScraping.AI to provide web data extraction capabilities for LLM platforms like Claude. It enables AI agents to scrape, extract, and answer questions from web page content.

How to use WebScraping.AI MCP Server?

Run with npx -y webscraping-ai-mcp after setting the required WEBSCRAPING_AI_API_KEY environment variable. Configure in Cursor (.cursor/mcp.json) or Claude Desktop (claude_desktop_config.json) with optional settings like WEBSCRAPING_AI_CONCURRENCY_LIMIT (default 5) and WEBSCRAPING_AI_ENABLE_CONTENT_SANDBOXING. Tools are invoked via MCP tool calls.

Key features of WebScraping.AI MCP Server

  • Question answering about web page content
  • Structured data extraction from web pages
  • HTML content retrieval with JavaScript rendering
  • Plain text extraction from web pages
  • CSS selector-based content extraction
  • Multiple proxy types (datacenter, residential, stealth)
  • Content sandboxing to prevent prompt injection

Use cases of WebScraping.AI MCP Server

  • Answer specific questions from any public web page
  • Extract product details (title, price, description) from e‑commerce sites
  • Retrieve full HTML or visible text for content analysis
  • Scrape multiple page sections using CSS selectors
  • Monitor account usage and remaining API quota

Frequently asked questions

1

What configuration is required?

You must set the `WEBSCRAPING_AI_API_KEY` environment variable. Optional settings include concurrency limit, proxy type, JavaScript rendering, and content sandboxing.

2

What is content sandboxing?

When enabled (`WEBSCRAPING_AI_ENABLE_CONTENT_SANDBOXING=true`), scraped content is wrapped with security boundaries and a warning not to execute commands from that section, helping protect LLMs against indirect prompt injection.

3

What proxy types are available?

Three proxy types: `datacenter`, `residential`, and `stealth`. Residential is the default. Stealth is recommended for heavily protected sites but costs more.

4

How does the server handle errors?

It provides automatic retries for transient errors, rate limit handling with backoff, and returns detailed error messages (e.g., HTTP 429).

5

What transport does the server use?

The server connects via STDIO transport, configured as a command in MCP‑enabled platforms. Authentication is done through the API key passed as an environment variable.

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