Metadata-Version: 2.1
Name: ScraperFC
Version: 2.1.2
Summary: Package for scraping soccer data from a variety of sources.
Home-page: https://github.com/oseymour/ScraperFC
Author: Owen Seymour
Author-email: osmour043@gmail.com
License: UNKNOWN
Keywords: soccer,football,Premier League,Serie A,La Liga,Bundesliga,Ligue 1,web scraping,soccer data,soccer stats,football data,football stats,web scraping soccer stats,webscraping football stats,webscraping soccer data,webscraping football data
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

This is ScraperFC, a Python package that I hope will give more people access to soccer data. Gone are the days of downloading spreadsheets one-by-one, copy-pasting, or entering data into spreadsheets by hand. I try to make ScraperFC as easy-to-use as possible so that anybody with a bit of Python experience can use it.

To install ScraperFC, run ```pip install ScraperFC``` from the command line.

Data can be scraped from the following sources:
* [FBRef](https://fbref.com/en/)
* [Understat](https://understat.com/)
* [FiveThirtyEight](https://projects.fivethirtyeight.com/soccer-predictions/)
* [ClubELO](http://clubelo.com/)
* [Capology](https://www.capology.com/)
* [Transfermarkt](https://www.transfermarkt.us/)

For documentation, head over to the [ReadTheDocs page](https://scraperfc.readthedocs.io).

For usage examples, look at Examples.ipynb in the top level directory or some of my example analyses in the analytics_examples folder.

I'd love to hear your feedback, bugs you find, or new features you want! You can reach me via email at osmour043@gmail.com or my Twitter handle is [@owen_seymour](https://twitter.com/owen_seymour).


