This project aims to create a web scraper for the Formula One website. It is developed for educational purposes and is non-profit, serving as a learning experience for utilizing web scraping techniques with Cheerio.
All data is collected from various tables provided by the Formula One website in an informative manner.
- Cloudflare Workers: The project is implemented using Cloudflare Workers, providing serverless execution and scalability.
- KV Storage: Cloudflare KV is used to store images retrieved during the scraping process.
- Cheerio: A fast, flexible, and lean implementation of jQuery designed specifically for the server.
The application allows users to fetch information related to:
- Teams
- Drivers
- Calendar
- Race details
This project is licensed under an open-source license suitable for non-profit, educational purposes. For more details, refer to the LICENSE file.