Scraping Data-Football in Past 10 Years
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 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,