Bet365 API Scraper

This project is a scraper of the Bet365 API to collect data from live matches, matches and future games using Python. The necessary headers and cookies are configured through a file .env for easy customization.

Table of Contents

• Installation
• Configuration
• Usage
• Files
• Dependencies
• Contributing
• License

Installation

1. Clone the repository:

   git clone https://github.com/yourusername/bet365-inplay-api.git
   cd bet365-inplay-api

2. Create a virtual environment and activate it:

   python -m venv venv
   source venv/bin/activate   # On Windows, use `venv\Scripts\activate`

3. Install the required dependencies:

   pip install -r requirements.txt

Configuration

1. Create a .env file in the project root directory and populate it with the following environment variables:

   INPLAYDIARYAPI='https://mobile.bet365.com/inplaydiaryapi/schedule?timezone=16&lid=33&zid=0'
   ACCEPT='text/html,application/xhtml+xml,application/xml;q=0.9,image/avif,image/webp,image/apng,*/*;q=0.8,application/signed-exchange;v=b3;q=0.7'
   ACCEPT_ENCODING='gzip, deflate, br, zstd'
   ACCEPT_LANGUAGE='pt-BR,pt;q=0.9,en-GB;q=0.8,en;q=0.7,es-ES;q=0.6,es;q=0.5'
   CACHE_CONTROL='max-age=0'
   CONNECTION='keep-alive'
   COOKIE='your_cookie_here'
   HOST='mobile.bet365.com'
   ORIGIN='https://www.bet365.com'
   PRAGMA='no-cache'
   REFERER='https://www.bet365.com/'
   SEC_CH_UA='"Opera GX";v="109", "Not:A-Brand";v="8", "Chromium";v="123"'
   SEC_CH_UA_MOBILE='?0'
   SEC_CH_UA_PLATFORM='macOS'
   SEC_FETCH_DEST='document'
   SEC_FETCH_MODE='navigate'
   SEC_FETCH_SITE='none'
   SEC_FETCH_USER='?1'
   UPGRADE_INSECURE_REQUESTS='1'
   USER_AGENT='Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/123.0.0.0 Safari/537.36 OPR/109.0.0.0'
   

   Replace your_cookie_here with the actual cookie value.

Usage

1. Run the api.py script to fetch live football match data from the Bet365 InPlay API:

   python api.py

2. The script will print the fetched data to the console.

Files

• inplaydiaryapi.py: Contains the main class for fetching data from the Bet365 InPlay API.
• api.py: The entry point script to run the data fetching process.
• .env: Configuration file for environment variables.
• requirements.txt: Lists the dependencies required for the project.

Dependencies

• requests: HTTP library for making requests to the API.
• urllib3: HTTP library for handling retries.
• python-dotenv: Library to load environment variables from a .env file.

Contributing

1. Fork the repository.
2. Create a new branch (git checkout -b feature-branch).
3. Make your changes and commit them (git commit -am 'Add new feature').
4. Push to the branch (git push origin feature-branch).
5. Create a new Pull Request.

Licence

This project is licensed under the Attribution 4.0 International License - see the CC-BY-4.0 file for details.

Donations

If this script has been helpful for you, consider making a donation to support our work:

• $USDT (TRC-20): TP6zpvjt2ZNGfWKPevfp65ZrcbKMWSQXDi

Your donations help us continue developing useful and innovative tools.

Takk™ Innovate Studio

Leading the Digital Revolution as the Pioneering 100% Artificial Intelligence Team.

• Copyright (c)
• Licence: Attribution 4.0 International (CC BY 4.0)
• Author: David C Cavalcante
• LinkedIn: https://www.linkedin.com/in/hellodav/
• Medium: https://medium.com/@davcavalcante/
• Positive results, rapid innovation
• URL: https://takk.ag/
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• Medium: https://takk8is.medium.com/