Selenium MCP Server

Selenium MCP Server

MCP server for crawling and extracting data from web pages using Selenium with CSS/XPath selectors. Supports 17 tools including smart extraction, pagination, infinite scroll, and screenshots.

Category
Visit Server

README

🕷️ Selenium MCP Server

MCP server (stdio) sử dụng Selenium để crawl và trích xuất dữ liệu từ web pages bằng CSS/XPath selectors.

✨ Tính Năng

MCP Tools (17 tools)

Tool Mô Tả
extract Trích xuất dữ liệu cơ bản với CSS/XPath selectors
analyze_page Phân tích cấu trúc trang trước khi extract
smart_extract Tự động detect loại trang và extract (products, article, all)
crawl_all_pages Crawl nhiều trang với pagination
crawl_infinite_scroll Xử lý lazy loading/infinite scroll
discover_site Khám phá sitemap, categories, navigation
crawl_category_list Crawl nhiều category URLs
deep_crawl Crawl listing + chi tiết từng sản phẩm
extract_product_details Extract chi tiết từ danh sách URLs
export_results Xuất CSV/JSON
take_screenshot Chụp full-page screenshot
take_element_screenshot Chụp screenshot của element cụ thể
manage_cookies Get/Set/Clear browser cookies
login_and_extract Đăng nhập và extract từ trang protected
execute_javascript Thực thi JavaScript tùy chỉnh
get_page_metrics Lấy performance metrics của trang

REST API Endpoints

Server cũng cung cấp REST API đầy đủ qua FastAPI:

  • POST /extract - Basic extraction
  • POST /smart-extract - Smart extraction
  • POST /analyze - Analyze page
  • POST /crawl/pages - Crawl with pagination
  • POST /crawl/infinite-scroll - Handle infinite scroll
  • POST /crawl/categories - Crawl categories
  • POST /crawl/deep - Deep crawl
  • POST /discover - Discover site
  • POST /products/details - Product details
  • POST /screenshot - Capture screenshot
  • POST /export - Export data
  • GET /jobs - List jobs
  • GET /outputs - List output files

🚀 Cài Đặt

# Clone repo
git clone https://github.com/Tai-DT/mcp-crawler.git
cd mcp-crawler

# Tạo virtual environment
python3 -m venv venv
source venv/bin/activate  # Linux/Mac
# hoặc: venv\Scripts\activate  # Windows

# Cài đặt dependencies
pip install -r requirements.txt

📦 Chạy Server

MCP Server (cho AI clients)

# Stdio mode (mặc định, cho MCP clients)
python3 selenium_mcp_server.py

# HTTP mode (cho debugging)
python3 selenium_mcp_server.py --transport streamable-http --host 127.0.0.1 --port 8000

REST API Server

python3 server_api.py
# API sẽ chạy tại http://localhost:8000

Docker

docker-compose up -d
# API: http://localhost:8000

⚙️ Cấu Hình MCP Client

VS Code (mcp.json)

{
  "servers": {
    "local/selenium-crawler": {
      "type": "stdio",
      "command": "/path/to/mcp-crawler/venv/bin/python",
      "args": ["/path/to/mcp-crawler/selenium_mcp_server.py"],
      "env": {}
    }
  }
}

Claude Desktop

{
  "mcpServers": {
    "selenium-crawler": {
      "command": "python3",
      "args": ["/path/to/mcp-crawler/selenium_mcp_server.py"]
    }
  }
}

📖 Ví Dụ Sử Dụng

Basic Extract

{
  "url": "https://example.com",
  "fields": {
    "title": "css:h1",
    "description": "css:p",
    "links": {"selector": "css:a", "attribute": "href", "multiple": true}
  }
}

Smart Extract Products

{
  "url": "https://shop.example.com/category",
  "extract_type": "products",
  "limit": 50,
  "normalize_prices": true
}

Deep Crawl

{
  "url": "https://shop.example.com/products",
  "follow_links": "products",
  "max_links": 20,
  "normalize_prices": true
}

Screenshot

{
  "url": "https://example.com",
  "full_page": true,
  "width": 1920,
  "height": 1080
}

Login and Extract

{
  "login_url": "https://example.com/login",
  "target_url": "https://example.com/dashboard",
  "username_selector": "css:#email",
  "password_selector": "css:#password",
  "submit_selector": "css:button[type='submit']",
  "username": "user@example.com",
  "password": "password123",
  "fields": {
    "welcome_message": "css:.welcome",
    "account_name": "css:.account-name"
  }
}

🔄 Retry & Error Handling

Server có built-in retry với exponential backoff:

  • Max Retries: 3 lần
  • Initial Delay: 1 giây
  • Backoff Factor: 2x
  • Rate Limiting: 30 requests/phút

📁 Cấu Trúc Dự Án

mcp-crawler/
├── selenium_mcp_server.py  # MCP Server chính (17 tools)
├── server_api.py           # REST API (FastAPI)
├── crawler_engine.py       # Crawler engine core
├── extraction_utils.py     # Tiện ích xử lý dữ liệu
├── config.py               # Configuration management
├── retry_handler.py        # Retry & rate limiting
├── job_manager.py          # Job tracking & persistence
├── requirements.txt        # Python dependencies
├── Dockerfile              # Docker image
├── docker-compose.yml      # Docker Compose
├── outputs/                # Extracted data
│   └── screenshots/        # Captured screenshots
├── jobs/                   # Job history
└── scripts/                # Test scripts

🧪 Testing

# Test crawler engine
python3 test_mcp.py

# Smoke test MCP server
python3 scripts/smoke_test_stdio.py

📝 License

MIT

Recommended Servers

playwright-mcp

playwright-mcp

A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.

Official
Featured
TypeScript
Magic Component Platform (MCP)

Magic Component Platform (MCP)

An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.

Official
Featured
Local
TypeScript
Audiense Insights MCP Server

Audiense Insights MCP Server

Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.

Official
Featured
Local
TypeScript
VeyraX MCP

VeyraX MCP

Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.

Official
Featured
Local
graphlit-mcp-server

graphlit-mcp-server

The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.

Official
Featured
TypeScript
Kagi MCP Server

Kagi MCP Server

An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.

Official
Featured
Python
E2B

E2B

Using MCP to run code via e2b.

Official
Featured
Neon Database

Neon Database

MCP server for interacting with Neon Management API and databases

Official
Featured
Exa Search

Exa Search

A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.

Official
Featured
Qdrant Server

Qdrant Server

This repository is an example of how to create a MCP server for Qdrant, a vector search engine.

Official
Featured