Football Players Stats Api

This Python web scraping project focuses on extracting football player statistics from the Transfermarkt website. The main script, main.py, uses the BeautifulSoup library to parse the HTML content of web pages and extract the necessary information. The schedule to run this script is configured using GitHub Actions.

Project Structure

• .github/workflows
  • cron.yml
• .gitignore
• main.py
• requirements.txt
• Readme.md

Structure Description

• .github/workflows/cron.yml: GitHub Actions configuration file that sets the schedule to run the web scraping script at midnight every day.

• .gitignore: File specifying files and directories to be ignored when committing to Git.

• main.py: The main script that performs web scraping of football player statistics. It utilizes BeautifulSoup, pandas, and requests.

• requirements.txt: File listing project dependencies and their versions.

Running the Script

The main.py script extracts data from various football players and updates the statistics on a local API. Make sure to have the dependencies installed by running:

pip install -r requirements.txt
pip install lxml

Then, execute the script:

python main.py

The script will extract player statistics and update them in Football Players Stats Api.