WebSearchAndCrawl

WebSearchAndCrawl

Enables authenticated web crawling via Firefox session tokens, regex-based content search, document parsing/downloading, and real-time streaming of results for MCP clients.

Category
访问服务器

README

WebSearchAndCrawl

An MCP Server for Authenticated Web Crawling, Searching, and Document Processing

---.

🚀 Purpose

WebSearchAndCrawl is an MCP (Model Context Protocol) server designed to:

  1. Crawl websites (including authenticated ones) using Firefox session tokens or browser automation.
  2. Search crawled content for regex matches and store results in a structured index.
  3. Download and parse documents (PDF, DOCX, XLSX, etc.) from crawled sites.
  4. Stream results in real-time via HTTP for integration with MCP clients.
  5. Respect robots.txt and enforce rate limits (5 requests/sec, 5 threads max).

This tool is ideal for:

  • Researchers who need to scrape authenticated or dynamic websites.
  • Developers building AI agents that require web data.
  • Automation of repetitive web tasks (e.g., monitoring, data extraction).

🔧 Features

Feature Description
Authenticated Crawling Uses Firefox session tokens to access logged-in pages.
Browser Automation Falls back to Playwright for dynamic content or login forms.
Domain Whitelisting Only crawls URLs matching a comma-delimited list of domains.
Depth-limited Crawling Configurable crawl depth (1-9 layers).
Regex Search Search crawled content or index for regex patterns.
Document Parsing Extracts text from PDF, DOCX, XLSX, and TXT files.
Real-time Streaming Results are streamed as JSONL (chunked by page).
Indexing Stores results in JSON files per domain for later search.
Rate Limiting Enforces 5 requests/sec and 5 threads max.
Resume Support Can resume interrupted crawls from checkpoints.
Session Validation Validates token scopes to prevent misuse.

📦 Installation

Prerequisites

  1. Python 3.9+ (recommended: 3.11+).
  2. Firefox (required for browser automation).
  3. System Libraries (for document parsing):
    • PDF: poppler-utils (Linux) or pdfminer.six (cross-platform).
    • DOCX/XLSX: python-docx, openpyxl.

Steps

1. Clone the Repository

git clone https://github.com/bpweatherill/WebSearchAndCrawl.git
cd WebSearchAndCrawl

2. Set Up a Virtual Environment

python -m venv venv
source venv/bin/activate  # Linux/Mac
# OR
venv\Scripts\activate   # Windows

3. Install Dependencies

pip install -r requirements.txt

4. Install Playwright Browsers

playwright install firefox

5. (Optional) Configure Environment Variables

Create a .env file in the project root:

# Server
MCP_PORT=8808
MCP_HOST=0.0.0.0

# Crawler
MAX_DEPTH=9
MAX_THREADS=5
RATE_LIMIT=5
REQUEST_TIMEOUT=10
MAX_MEMORY_MB=1024

# Firefox
FIREFOX_PROFILE=my_profile  # Optional: Specific Firefox profile
DEFAULT_SEARCH_ENGINE=google

# Directories
INDEX_DIR=./index
DOWNLOADS_DIR=./downloads
CHECKPOINTS_DIR=./checkpoints

🏃 Usage

1. Start the MCP Server

python -m server.main

The server will start on http://localhost:8808 (or the port specified in .env).

2. MCP Tools (HTTP Endpoints)

All tools return JSON responses and support streaming for real-time results.

Endpoint Method Description Request Body
/crawl_website POST Crawl a website and stream results. CrawlRequest
/search_index POST Search the local index for regex matches. SearchIndexRequest
/download_documents POST Download documents matching a regex. DownloadRequest
/get_search_results POST Use Firefox's search engine to fetch results. WebSearchRequest
/list_indexed_domains GET List all domains with indexed content. -
/health GET Health check. -

Request/Response Schemas

CrawlRequest
{
  "url": "https://www.nasa.gov",
  "whitelist_domains": "nasa.gov",
  "max_depth": 3,
  "use_token": false,
  "firefox_profile": "my_profile"
}
  • url: Starting URL for the crawl.
  • whitelist_domains: Comma-delimited list of allowed domains (e.g., "nasa.gov,spacex.com").
  • max_depth: Maximum crawl depth (1-9).
  • use_token: Use Firefox session token if available.
  • firefox_profile: Firefox profile name (optional).

Streamed Response (JSONL):

{
  "excerpt": "NASA's Perseverance Rover lands on Mars...",
  "full_text": "Full article text here...",
  "url": "https://www.nasa.gov/mars2020",
  "timestamp": "2024-05-20T12:00:00Z",
  "domain": "nasa.gov"
}

---.

SearchIndexRequest
{
  "domain": "nasa.gov",
  "regex": ".*Mars.*",
  "max_results": 10
}
  • domain: Domain to search (e.g., "nasa.gov").
  • regex: Regex pattern to match.
  • max_results: Maximum number of results to return.

Response:

[
  {
    "url": "https://www.nasa.gov/mars2020",
    "excerpt": "NASA's Perseverance Rover lands on Mars...",
    "timestamp": "2024-05-20T12:00:00Z"
  }
]

---.

DownloadRequest
{
  "domain": "nasa.gov",
  "regex": ".*\\.pdf$",
  "output_dir": "./downloads/nasa.gov"
}
  • domain: Domain to download from.
  • regex: Regex pattern for files to download (e.g., "*.pdf").
  • output_dir: Custom output directory (optional).

Streamed Response (JSONL):

{
  "filename": "./downloads/nasa.gov/mars_rover.pdf",
  "url": "https://www.nasa.gov/pdf/mars_rover.pdf",
  "parsed_text": "Extracted text from PDF..."
}

---.

WebSearchRequest
{
  "query": "NASA Mars missions",
  "search_engine": "google",
  "use_token": false,
  "firefox_profile": "my_profile"
}
  • query: Search query.
  • search_engine: Search engine (default: Firefox default).
  • use_token: Use Firefox session token if available.
  • firefox_profile: Firefox profile name (optional).

Streamed Response (JSONL):

{
  "title": "Mars 2020 Mission - NASA",
  "url": "https://www.nasa.gov/mars2020",
  "snippet": "Learn about the Perseverance Rover..."
}

🔍 Examples

1. Crawl NASA.gov and Index Results

curl -X POST http://localhost:8808/crawl_website \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.nasa.gov",
    "whitelist_domains": "nasa.gov",
    "max_depth": 2,
    "use_token": false
  }'

2. Search Indexed Content for "Mars"

curl -X POST http://localhost:8808/search_index \
  -H "Content-Type: application/json" \
  -d '{
    "domain": "nasa.gov",
    "regex": ".*Mars.*",
    "max_results": 5
  }'

3. Download PDFs from NASA.gov

curl -X POST http://localhost:8808/download_documents \
  -H "Content-Type: application/json" \
  -d '{
    "domain": "nasa.gov",
    "regex": ".*\\.pdf$"
  }'

4. Use Firefox to Search Google

curl -X POST http://localhost:8808/get_search_results \
  -H "Content-Type: application/json" \
  -d '{
    "query": "NASA Mars missions",
    "search_engine": "google"
  }'

📁 Project Structure

WebSearchAndCrawl/
│
├── server/                          # Core server logic
│   ├── __init__.py
│   ├── main.py                       # FastAPI app + MCP tools
│   ├── config.py                     # Configuration settings
│   ├── schemas.py                    # Pydantic request/response models
│   │
│   ├── firefox/                      # Firefox browser automation
│   │   ├── __init__.py
│   │   ├── controller.py              # Playwright Firefox management
│   │   └── token_manager.py           # Session token handling
│   │
│   ├── crawler/                     # Web crawling logic
│   │   ├── __init__.py
│   │   ├── crawler.py                # Main crawling logic
│   │   └── rate_limiter.py            # Thread/rate limiting
│   │
│   ├── indexer/                     # Indexing and search
│   │   ├── __init__.py
│   │   ├── indexer.py                 # JSON index management
│   │   └── search_engine.py           # Regex search
│   │
│   ├── downloader/                  # Document downloading and parsing
│   │   ├── __init__.py
│   │   ├── downloader.py              # Download logic
│   │   └── parsers/                  # File type parsers
│   │       ├── __init__.py
│   │       ├── pdf_parser.py
│   │       ├── docx_parser.py
│   │       └── xlsx_parser.py
│   │
│   └── streamer.py                   # Chunked JSON streaming
│
├── tests/                           # Unit and integration tests
│   ├── __init__.py
│   ├── test_firefox.py
│   └── test_crawler.py
│
├── index/                           # Index files (auto-generated)
│   ├── nasa.gov.json
│   └── ...
│
├── downloads/                       # Downloaded documents (auto-generated)
│   ├── nasa.gov/
│   │   ├── document1.pdf
│   │   └── ...
│   └── ...
│
├── checkpoints/                     # Crawl checkpoints (auto-generated)
│   └── ...
│
├── requirements.txt                 # Python dependencies
├── .env.example                     # Example environment variables
└── README.md                        # This file

⚙️ Configuration

Environment Variables

Variable Default Description
MCP_PORT 8808 HTTP server port.
MCP_HOST 0.0.0.0 HTTP server host.
MAX_DEPTH 9 Maximum crawl depth (1-9).
MAX_THREADS 5 Maximum concurrent threads.
RATE_LIMIT 5 Maximum requests per second.
REQUEST_TIMEOUT 10 Timeout for requests (seconds).
MAX_MEMORY_MB 1024 Maximum memory usage (MB).
FIREFOX_PROFILE None Firefox profile name (optional).
DEFAULT_SEARCH_ENGINE google Default search engine.
INDEX_DIR ./index Directory for index files.
DOWNLOADS_DIR ./downloads Directory for downloaded files.
CHECKPOINTS_DIR ./checkpoints Directory for crawl checkpoints.

🛡️ Security Considerations

  1. Session Tokens:

    • Tokens are only stored in memory (not persisted to disk).
    • Token scopes are validated to prevent misuse (e.g., a token for nasa.gov cannot be used for evil.com).
  2. Input Sanitization:

    • All inputs (URLs, regex, etc.) are sanitized to prevent injection attacks.
  3. Rate Limiting:

    • Enforces 5 requests/sec and 5 threads max to avoid overwhelming servers.
  4. robots.txt Compliance:

    • The crawler respects robots.txt and skips disallowed URLs.
  5. Whitelisting:

    • Only URLs matching the whitelisted domains are crawled.

🚀 Enhancements (Roadmap)

Enhancement Description Priority
Persistent Tokens Store tokens in an encrypted file for persistence across restarts. Medium
Full robots.txt Parsing Properly parse robots.txt rules instead of simple checks. Medium
Advanced Pagination Handling Detect and follow pagination links (e.g., "Next" buttons). High
Lazy-Loading Support Detect and trigger lazy-loaded content (e.g., infinite scroll). High
Checkpointing Save crawl state to resume interrupted crawls. High
Full-Text Search Support full-text search in addition to regex. Low
Database Backend Replace JSON files with SQLite/PostgreSQL for scalability. Low
Distributed Crawling Support horizontal scaling with multiple workers. Low
Docker Support Add a Dockerfile for containerized deployment. Medium
Authentication Helpers Built-in support for common auth methods (OAuth, SAML). Medium
Proxy Support Add proxy support for crawling behind firewalls. Low
Custom Headers Allow users to specify custom headers for requests. Medium
Webhook Notifications Notify a webhook URL when new results are found. Low

🤝 Contributing

  1. Fork the repository.
  2. Create a feature branch (git checkout -b feature/your-feature).
  3. Commit your changes (git commit -m "Add your feature").
  4. Push to the branch (git push origin feature/your-feature).
  5. Open a Pull Request.

📜 License

This project is licensed under the MIT License. See LICENSE for details.


📞 Support


🏆 Acknowledgments

  • Playwright: For browser automation.
  • FastAPI: For the HTTP server.
  • pdfminer.six: For PDF parsing.
  • python-docx/openpyxl: For Office file parsing.

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