Metadata-Version: 2.1
Name: ScraperFC
Version: 2.0.0
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
Description: 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 [GitHub's wiki page](https://github.com/oseymour/ScraperFC/wiki)
        
        For usage examples, look at Examples.ipynb in the code 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).
        
Keywords: soccer,football,Premier League,Serie A,La Liga,Bundesliga,Ligue 1,web scraping,data
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.6
Description-Content-Type: text/markdown
