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Web scraping project that aims to scrape F1 data that isn't shown online

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F1 Web Scraper

F1 web scraper is a tool that is used to scrape data from a range of years or from a single year. ##Features Current scrapable stats are:

  • Pole - win mean for each year
  • Retirement rates for each year
  • Disqualification rates for each year

These stats can be viewed through:

  • Bar graphs for multiple years
  • Possibility to export pole stats to .csv

Dependencies

To install the packages needed to run this scraper you'll need to run:

pip install -r requirements.txt

Usage

After cloning the repo and installing the required dependencies, you can simply run the script via:

python3 main.py

This will prompt you to the main menu where you will select the stats you wish to see

Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

Issues and bugs

You're welcome to report any issues that you may encounter, this is my first project regarding Web Scraping and there may be many improvements to be made and bugs to be fixed, please open an issue to report a bug.

WIP

Code is still work in progress, so some functions may still not be fully functional or optimised.

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Web scraping project that aims to scrape F1 data that isn't shown online

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