Thu Sep 12 00:58:05 UTC 2024: ## New Python Library “whoscraped” Makes Scraping Football Data from WhoScored Easy

Python developers can now easily scrape football data from WhoScored using the new “whoscraped” library. Developed by the Python community, the library offers a simple interface for extracting valuable match information.

“whoscraped” provides functions to retrieve match data, pass events, and team stats from WhoScored’s website. The data is returned in a user-friendly format, either as a JSON dictionary or a Pandas DataFrame.

**Key Features:**

* **Retrieves Match Data:** Get match data from a specified URL as a JSON dictionary.
* **Extracts Pass Events:** Retrieve all pass events from a match URL or JSON object and return them in a Pandas DataFrame.
* **Gathers Team Stats:** Obtain home and away team statistics for a match from a URL or JSON object, presented in a Pandas DataFrame.

**Contributing to the Project:**

The “whoscraped” library welcomes contributions from the community. Developers can fork the repository, submit pull requests, and ensure their code passes all tests and follows the project’s coding standards.

**Get Started Today:**

Download the “whoscraped” library using “pip install whoscraped”. The library is fully operational and ready to be used by Python developers for their football data analysis needs.

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