fbrefstats 0.1.11

A Python script to scrape football data from FBRef

FBRef Stats

A python script to scrape football data from FBRef

Check out the documentation

About

FBRef Stats is a Python script which uses BeautifulSoup and requests to scrape data from FBRef. This is a small side project I work on in my free time. As an avid soccer fan and someone who finds sports stats interesting, I tried making a program which takes player stats into account so I could gain an advantage on my fantasy leagues with my friends. However, I could not find many good free libraries which provided soccer data, so I resolved to build one myself.

Installation

To install this project, input the following into the command line:

pip install fbrefstats

From there, you can import the package into your program using:

from fbrefstats import LeagueScraper, GeneralScraper, StatStrings

Usage

As seen above, there are three classes within the fbrefstats script: (The names of these classes may change in the future, they are currently placeholders)

• LeagueScraper
  • Contains scraping methods relating to leagues. An object is needed to access these methods, with each object representing a specific league.
• GeneralScraper
  • Contains scraping methods that are independant. They are static and do not tie into any specific league.
• StatStrings
  • Class full of variables holding strings, which are used when calling the method LeagueScraper.getLeagueLeaders()

Check out the documentation for info on how to use the script.

Other libraries used

As of now, the libraries used within this project are:

• BeautifulSoup4
• requests
• pandas
• StringIO
• fake-http-reader | Link to the repo here

To-do

As of right now, this script is still in a very early development phase, and I am only working on it as a personal side project. I have a few things I am thinking of adding:

• Update README.md (Urgent) ☑

• Add a documentation file ☑

• Update the documentation file ☑

• Static functions ☑
  Split the Scraper class into two classes: LeagueScraper and GeneralScraper, which contains static methods

• Randomized requests headers to avoid detectability when scraping ☑

• Different table formats ☑
  I've learnt that pandas dataframes already have built-in functions for this: pandas.DataFrame.to_csv() and pandas.DataFrame.to_string()

• Upload FBRefStats to PyPI ☑\

• More scraping! ☐
  There is so much data available on FBRef, so I would love to add more methods so that this data can be accessed through the script

• Add support for different league formats ☐
  As of right now, there are very few leagues supported as I am yet to add functionality to leagues with different formats (promotion/relegation playoffs, MLS post-season, or Apertura/Clausura formats commonly found in Latin America)

• Add nationality argument to GeneralScraper.getPlayerLink() ☐
  Currently, GeneralScraper.getPlayerLink() takes one argument: inputted_player_name. The method returns a list of URLs depending on which players were found when searching with inputted_player_name. This can get annoying when there are many players with similar names, so adding a nationality argument would be useful for searching.

License

GNU GPL