Scraping Data-Football in Past 10 Years

[Soubeer]

Description

Added .py for the code of data scraping on past 10 years of Football matches.(Convert into .ipynb for notebook version)
Includes comments for most code sections for better understanding of the viewer and future development.
All present inside football scraping folder

Resolves: [903]

Checklist

Before submitting this pull request, kindly verify that the ensuing checkpoints have been reached.

• [✓] Have you adhered to the repository's defined coding convention rules?
• Have you updated the 'documentation.md' file with the method/function documentation?
• Have you sent a message along with the result or response?
• Have you used the try-catch technique?
• Has the method/class been added to the documentation (md file)?

Screenshots

beautiful soup as it is the easiest scraping library

Supports JSON if present in that form

Gets data for all the teams and converts into dataframe

Gets seasonal data and does the same with all

Provides categorical data at the end

I certify that I have carried out the relevant checks and provided the requisite screenshot for validation by submitting this pull request.
I appreciate your contribution.

[nikhil25803]

Hey @Soubeer, I'll suggest you to check other modules like GitHub and IMDB and see how the modules are created.

We do not provide a Python script to do so, its a package that can be installed anywhere using pip. It must be implemented in classes and methods with proper namings.
Also do not include files like CSV or anything else except Python file.

[Soubeer]

@nikhil25803 I'm sorry, I could not find good sites on how to create modules. I understand the task and I saw that having the script as another file in the workspace can allow use for it for football scraping. I am not sure on how to create the module for it at the moment,