Agent Scraper MCP

Community Search and web

Web scraping: clean content extraction, CSS-selector scraping, Playwright screenshots, link and metadata extraction, and Google search.

Install

The installation steps are in the documentation below. Documentation

Documentation

From the project's README on GitHub, refreshed weekly. Links open on GitHub.

Contents
  1. Agent Scraper MCP Server
  2. Features
  3. Quick Start
  4. Pricing
  5. Tools Reference
  6. Development
  7. Deployment
  8. Tech Stack
  9. License
  10. Support

Agent Scraper MCP Server

The #1 most requested utility for AI agents — professional web scraping, screenshots, and content extraction via MCP + REST API.

Features

🌐 Clean Content Extraction — Extract readable text/markdown from any webpage (like Readability)
🎯 Structured Scraping — Extract specific data using CSS selectors
📸 Screenshots — Capture full-page or viewport screenshots with Playwright
🔗 Link Extraction — Get all links from a page with optional regex filtering
📋 Metadata Extraction — Extract title, description, Open Graph tags, favicon, etc
🔍 Google Search — Search Google and get results programmatically

Quick Start

MCP Configuration

Add to your MCP settings file (cline_mcp_settings.json or similar):

{
  "mcpServers": {
    "agent-scraper": {
      "url": "https://agent-scraper-mcp.onrender.com/mcp"
    }
  }
}
REST API

Base URL: https://agent-scraper-mcp.onrender.com

Scrape URL (Clean Content)
curl -X POST https://agent-scraper-mcp.onrender.com/api/v1/scrape_url \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/article",
    "format": "markdown"
  }'

Response:

{
  "success": true,
  "url": "https://example.com/article",
  "title": "Article Title",
  "content": "# Article Title\n\nClean markdown content...",
  "format": "markdown"
}
Scrape Structured Data
curl -X POST https://agent-scraper-mcp.onrender.com/api/v1/scrape_structured \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com/product",
    "selectors": {
      "title": "h1.product-title",
      "price": ".price",
      "reviews": ".review-text"
    }
  }'

Response:

{
  "success": true,
  "url": "https://example.com/product",
  "data": {
    "title": "Product Name",
    "price": "$29.99",
    "reviews": ["Great product!", "Worth the money"]
  }
}
Screenshot URL
curl -X POST https://agent-scraper-mcp.onrender.com/api/v1/screenshot_url \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com",
    "width": 1280,
    "height": 720,
    "full_page": false
  }'

Response:

{
  "success": true,
  "url": "https://example.com",
  "image": "iVBORw0KGgoAAAANSUhEUgAA...",
  "width": 1280,
  "height": 720,
  "full_page": false
}
curl -X POST https://agent-scraper-mcp.onrender.com/api/v1/extract_links \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://example.com",
    "filter": "https://example.com/blog/.*"
  }'
Extract Metadata
curl -X POST https://agent-scraper-mcp.onrender.com/api/v1/extract_meta \
  -H "Content-Type: application/json" \
  -d '{"url": "https://example.com"}'
Search Google
curl -X POST https://agent-scraper-mcp.onrender.com/api/v1/search_google \
  -H "Content-Type: application/json" \
  -d '{
    "query": "python web scraping",
    "num_results": 10
  }'

Pricing

Free Tier
  • 50 requests per IP per day
  • All tools included
  • No credit card required
Paid Tier (HTTP 402 / x402 Payment)

After free tier exhausted:

  • Scraping tools: $0.005/request (scrape_url, scrape_structured, extract_links, extract_meta, search_google)
  • Screenshot tool: $0.01/request (higher due to compute cost)

Payment via the x402 protocol (HTTP 402) in USDC on Base:

  • Wallet address (payTo): 0x8E844a7De89d7CfBFe9B4453E65935A22F146aBB

When you exceed the free tier, the server responds with HTTP 402 carrying machine-readable payment requirements (x402 v1), so x402-aware clients pay and retry automatically:

from x402_fetch import x402_fetch  # pip install x402-fetch
response = x402_fetch("https://agent-scraper-mcp.onrender.com/api/v1/scrape_url", method="POST",
                      body={"url": "https://example.com", "format": "markdown"})

To pay manually, attach an X-Payment header containing a base64-encoded JSON envelope with an EIP-3009 TransferWithAuthorization (USDC on Base) signed with the payer's EIP-712 key for the exact price, addressed to the wallet above, with an unused nonce. Payments are verified cryptographically (signature recovery + amount/recipient/deadline/replay checks) before the request is served — applies to both the REST API and MCP tools/call.

Collecting revenue (server operator)

With X402_SETTLER_PRIVATE_KEY set, every verified payment is executed on-chain within seconds: the EIP-3009 transferWithAuthorization is submitted to the USDC contract on Base and the USDC moves from the payer to X402_WALLET_ADDRESS. The settler key does not need to be the receiving wallet's key — any address may execute the authorization, so a dedicated gas-only burner key can submit the transactions while funds land in the main wallet. It only needs a small ETH balance on Base for gas. Additional env vars: X402_RPC_URL (default https://mainnet.base.org) and X402_SETTLE_MIN_MICROUSD (default 0 — settle each payment immediately; raise it to batch small payments). Failed settlements are retried with backoff and, if all retries fail, the full authorization is written to the logs (CRITICAL) for manual redemption — no payment is silently lost.

Tools Reference

1. scrape_url

Extract clean, readable content from any webpage (like Readability).

Parameters:

  • url (string, required): URL to scrape
  • format (string, optional): Output format — text, markdown, or html (default: markdown)

Returns: {success, url, title, content, format}


2. scrape_structured

Extract specific data using CSS selectors.

Parameters:

  • url (string, required): URL to scrape
  • selectors (object, required): Dict of name → CSS selector

Returns: {success, url, data}

Example selectors:

{
  "title": "h1.post-title",
  "author": ".author-name",
  "price": "span.price",
  "images": "img.product-image"
}

3. screenshot_url

Capture a screenshot of any webpage.

Parameters:

  • url (string, required): URL to screenshot
  • width (int, optional): Viewport width (default: 1280)
  • height (int, optional): Viewport height (default: 720)
  • full_page (bool, optional): Capture full scrollable page (default: false)

Returns: {success, url, image, width, height, full_page}

Image is base64-encoded PNG.


Extract all links from a webpage.

Parameters:

  • url (string, required): URL to scrape
  • filter (string, optional): Regex pattern to filter URLs

Returns: {success, url, links, count}

Links array contains {text, href} objects.


5. extract_meta

Extract metadata from a webpage.

Parameters:

  • url (string, required): URL to scrape

Returns: {success, url, meta}

Meta object includes:

  • title: Page title
  • description: Meta description
  • canonical: Canonical URL
  • favicon: Favicon URL
  • og: Open Graph tags
  • twitter: Twitter Card tags

6. search_google

Search Google and get results.

Parameters:

  • query (string, required): Search query
  • num_results (int, optional): Number of results (default: 10)

Returns: {success, query, results, count}

Results array contains {title, url, snippet} objects.


Development

Local Setup
# Clone repo
git clone https://github.com/aparajithn/agent-scraper-mcp.git
cd agent-scraper-mcp

# Install dependencies
pip install -e ".[dev]"

# Install Playwright browsers
playwright install chromium --with-deps

# Run server
uvicorn src.main:app --reload --port 8080
Test MCP Protocol
# Initialize
curl -X POST http://localhost:8080/mcp -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"1.0.0"}}}'

# List tools
curl -X POST http://localhost:8080/mcp -d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'

# Call scrape_url
curl -X POST http://localhost:8080/mcp -d '{"jsonrpc":"2.0","id":3,"method":"tools/call","params":{"name":"scrape_url","arguments":{"url":"https://example.com","format":"markdown"}}}'
Docker
# Build
docker build -t agent-scraper-mcp .

# Run
docker run -p 8080:8080 -e PUBLIC_HOST=localhost agent-scraper-mcp

Deployment

Deployed on Render (free tier):

  • Service: agent-scraper-mcp
  • Runtime: Docker
  • Region: Ohio
  • Auto-deploy from GitHub: aparajithn/agent-scraper-mcp

Environment variables:

  • PUBLIC_HOST: agent-scraper-mcp.onrender.com
  • X402_WALLET_ADDRESS: 0x8E844a7De89d7CfBFe9B4453E65935A22F146aBB

Tech Stack

  • Python 3.11 — Modern async/await
  • FastAPI — REST API framework
  • FastMCP — MCP protocol implementation (Streamable HTTP)
  • Playwright — Browser automation for screenshots
  • httpx — Fast async HTTP client
  • BeautifulSoup4 — HTML parsing
  • readability-lxml — Content extraction (like Firefox Reader View)

License

MIT License — see LICENSE for details.

Support


Built for AI agents by AI engineers 🤖

Frequently asked questions

What is Agent Scraper MCP?

Web scraping: clean content extraction, CSS-selector scraping, Playwright screenshots, link and metadata extraction, and Google search.

How do I install Agent Scraper MCP?

Follow the installation steps in its documentation, shown on this page and in its repository.

Is Agent Scraper MCP open source?

Yes. Its code is on GitHub under the MIT license.

Who maintains Agent Scraper MCP?

It is published by aparajithn. AI.tn lists it but does not maintain or endorse it.

From the community awesome-mcp-servers lists and the project's GitHub repository. Listing is not an endorsement: review a server's code and permissions before giving it access to your data.