A Python-based web scraper that fetches live and past match data from the Women's Premier League (WPL) website using Selenium, BeautifulSoup, and GitHub Actions. The script runs automatically every Hour and updates a JSON file with match details.

1. Automated Web Scraping – Uses Selenium + BeautifulSoup to extract match details dynamically.
2. GitHub Actions Integration – Runs automatically on schedule without manual execution.
3. Web Development Ready – Data is stored in wpl_data.json, which can be used in web applications.
4. Bypass Restrictions – Implements headless browsing, user-agent rotation, and dynamic content handling.

1. Clone the repository

   git clone https://github.com/cu-sanjay/cricket-score-scraper
   cd cricket-score-scraper

2. Install dependencies

   pip install -r requirements.txt

3. Run the script

   python test.py

• The script is scheduled to run every 1 hour using GitHub Actions.
• It fetches live match data and commits changes automatically.
• No manual intervention is needed once set up.

1. Handling Strict Websites
2. Rotate user-agents to prevent detection.
3. Use headless browsing for minimal footprint.
4. Simulate human interactions (scrolling, waiting, retries).
5. Extract data from network requests instead of the rendered page.