FBref_scrape

Python script to scrape FBref.com for player and team data using BeautifulSoup.

Repo contains EPL data from 1992 - 2018, but scraping tool should work for any leage on page.

Usage: FBref_scrape.py -f <url_csv_file>

Also includes jupyter notebook with initial investigations for getting data from Whoscored.com.

This is not yet functional and left as TODO. Initial investigations required selenium package.

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
Scrape_output		Scrape_output
.gitignore		.gitignore
Cleaning_Notes.ipynb		Cleaning_Notes.ipynb
Cleaning_Notes_player.ipynb		Cleaning_Notes_player.ipynb
Correlations_Full_Player.png		Correlations_Full_Player.png
Correlations_Full_Squad.png		Correlations_Full_Squad.png
Correlations_Slim_Player.png		Correlations_Slim_Player.png
EPL_Squad_Diversity_by_year.png		EPL_Squad_Diversity_by_year.png
FBref_gk_scrape.py		FBref_gk_scrape.py
FBref_join_year_player.py		FBref_join_year_player.py
FBref_join_year_squad.py		FBref_join_year_squad.py
FBref_scrape.py		FBref_scrape.py
Fbref_URLs.csv		Fbref_URLs.csv
Fbref_gk_URLs.csv		Fbref_gk_URLs.csv
Joint_Pts_Nat.png		Joint_Pts_Nat.png
NN_for_Goals.ipynb		NN_for_Goals.ipynb
Nat_Rep_year.png		Nat_Rep_year.png
Nat_Studies.ipynb		Nat_Studies.ipynb
Notes_whoscored.ipynb		Notes_whoscored.ipynb
README.md		README.md
Rel_notE_joint.png		Rel_notE_joint.png

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