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</p>
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 [Read the Docs 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.
Join our [Discord](https://discord.gg/C5N8dqCJAq)!
I'd love to hear your feedback, bugs you find, or new features you want! The best way is to open an issue on this repository and I can respond to it there. Otherwise, you can reach me via email at osmour043@gmail.com or my Twitter handle is [@owen_seymour](https://twitter.com/owen_seymour).
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