This is a Scrapy project that contains a single spider that scrapes football matches from "https://www.football-data.co.uk/" and stores each match in a MongoDB database.
To use this project, you need to have Python and Scrapy installed on your machine. You can install them using the following commands:
pip install scrapy
You also need to have a MongoDB instance running on your machine or on a remote server. You can download MongoDB from the official website: https://www.mongodb.com/try/download/community
Once you have installed the prerequisites, you can clone this repository using the following command:
git clone https://github.com/your_username/scrapy-football-matches.git
To use this spider, you need to create a .env file to configure the MongoDB connection. You need to set the following variables:
MONGODB_URI
: The URI of the MongoDB instance. Example: "mongodb://localhost:27017/"MONGODB_DATABASE
: The name of the MongoDB database to use. Example: "football"
After you have configured the MongoDB connection, you can run the spider using the following command:
scrapy crawl football_matches
This will start the spider and scrape the football matches from "https://www.football-data.co.uk/". The scraped data will be stored in the MongoDB collection you have configured.
If you want to contribute to this project, you can create a pull request with your changes. Make sure to follow the PEP 8 style guide and write tests for your code.
This project is licensed under the MIT License - see the LICENSE file for details.