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
}

Extract Links

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 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 HTTP 402 with crypto wallet:

• Wallet address: 0x8E844a7De89d7CfBFe9B4453E65935A22F146aBB

• Include X-Payment header with payment proof

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.

4. extract_links

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

• Issues: GitHub Issues

• Email: support@agent-scraper.com

• Docs: https://agent-scraper-mcp.onrender.com/docs

Built for AI agents by AI engineers 🤖