parselite 0.3.0

A powerful web content fetcher and processor

SearchLite 🔍

A lightning-fast, asynchronous real-time Google Search API wrapper with built-in optimization for batch queries.

Features ✨

• 🚀 Real-time Google search results
• 🔄 Asynchronous batch searching
• 🎯 Optimized for multiple queries
• 🧹 Automatic duplicate removal
• 🎨 Optional progress animation
• 🔧 Configurable worker pool

Installation 📦

pip install searchlite

Quick Start 🚀

Basic Search

from searchlite import RealTimeGoogleSearchProvider

# Initialize the search provider
searcher = RealTimeGoogleSearchProvider()

# Single query search
results = searcher.search("Python programming", max_urls=5)
print(results)

Batch Search

# Multiple queries at once
queries = [
    "machine learning basics",
    "data science projects",
    "python best practices"
]

# Batch search with async execution
results = searcher.search_batch(queries, max_urls=10)
print(results)

Advanced Usage 🔧

Custom Configuration

searcher = RealTimeGoogleSearchProvider(
    search_provider="google",  # Search engine to use
    chromedriver_path="/custom/path/chromedriver",  # Custom ChromeDriver path
    max_workers=4,  # Number of concurrent workers
    animation=True  # Enable progress animation
)

Async Implementation

import asyncio

async def main():
    searcher = RealTimeGoogleSearchProvider()
    queries = ["AI news", "Python updates", "Tech trends"]
    
    # Using the internal async method
    results = await searcher._async_batch_search(queries, max_urls=5)
    return results

# Run async function
results = asyncio.run(main())

Features Explained 📚

URL Processing

• Automatic hash fragment removal
• Duplicate URL filtering
• Configurable result limit
• Maintains original URL order

Batch Processing

• Concurrent execution
• Memory efficient
• Automatic error handling
• Result aggregation

Requirements 🛠️

• Python 3.7+
• ChromeDriver
• Required Python packages:
  • selenium
  • asyncio
  • typing

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/AmazingFeature)
3. Commit your changes (git commit -m 'Add some AmazingFeature')
4. Push to the branch (git push origin feature/AmazingFeature)
5. Open a Pull Request

License 📄

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

Acknowledgments 🙏

• Inspired by the need for efficient real-time search capabilities
• Built with ❤️ for the Python community
• Special thanks to all contributors

Support 💬

For support, please open an issue in the GitHub repository or contact the maintainers.

---

Made with ❤️