url-is-in 0.1.0

A Python package for efficiently checking if a URL is part of large whitelist or blacklist of URLs and domain names.

url-is-in

A Python package for efficiently checking if URLs are part of large whitelists or blacklists. Built for speed and scalability, url-is-in provides different matching algorithms based on dataset size and provides both URL and SURT-based matching capabilities.

Features

• 🌐 URL Normalization: Uses SURT (Sort-friendly URI Reordering Transform) for consistent URL comparison
• 🔍 Subdomain Matching: Optional subdomain matching for domain-based filtering
• 📊 Scalable: Efficiently handles large URL lists using Trie matching (tested with > 1M of URLs)
• 🎯 Flexible: Support for both URL and SURT-based matching
• 🐍 Python 3.8+: Modern Python support with type hints

Installation

Using pip

pip install url-is-in

Using uv (recommended for development)

uv add url-is-in

From source

git clone https://github.com/commoncrawl/url-is-in.git
cd url-is-in
pip install -e .

Requirements

• Python: 3.8 or higher
• Dependencies:
  • surt - For URL normalization and SURT conversion

Quick Start

Basic URL Matching

from url_is_in import URLMatcher

# Create a matcher with a list of URLs
urls = [
    'https://example.com',
    'https://test.org/specific/path',
    'https://github.com/user/repo'
]

matcher = URLMatcher(urls)

# Check if URLs match
print(matcher.is_in('https://example.com/any/path'))  # True
print(matcher.is_in('https://test.org/specific/path/file.html'))  # True
print(matcher.is_in('https://other.com'))  # False

Subdomain Matching

from url_is_in import URLMatcher

# Enable subdomain matching (default: True)
matcher = URLMatcher(['https://example.com'], match_subdomains=True)

print(matcher.is_in('https://www.example.com'))      # True
print(matcher.is_in('https://api.example.com'))      # True
print(matcher.is_in('https://sub.example.com/path')) # True

SURT-based Matching

For advanced use cases, you can work directly with SURT strings:

from url_is_in import SURTMatcher

# Work with SURT strings directly
surts = [
    'com,example)/',
    'org,test)/specific/path',
    'com,github)/user/repo'
]

matcher = SURTMatcher(surts)

# Check SURT strings
print(matcher.is_in('com,example)/any/path'))  # True
print(matcher.is_in('org,test)/other'))        # False

Algorithm Selection

The package automatically selects the optimal matching algorithm:

from url_is_in import URLMatcher

# Automatic selection (default)
matcher = URLMatcher(urls, mode="auto")  # Trie for >100 URLs, tuple for ≤100

# Manual selection
fast_matcher = URLMatcher(urls, mode="trie")    # Always use trie
simple_matcher = URLMatcher(urls, mode="tuple") # Always use tuple

Setting up development environment

# Clone the repository
git clone https://github.com/commoncrawl/url-is-in.git
cd url-is-in

# Install with development dependencies
uv sync --extra dev

# Run tests
pytest

# Run linting
ruff check .
ruff format .

Running tests

# Run all tests
pytest

# Run with coverage
pytest --cov=src --cov-fail-under=95

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

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

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.