NFL_Project

webscraping_main.py generates .csv files for easy analysis of NFL data. This is done by webscraping the data from Pro-Football-Reference and storing it in .json files. All the user has to do is edit the variables listed below the header. These are:

Variables to specify

• data_folder_loc: The destination folder for your .json files
• model_folder_loc: The destination folder for your .csv file
• model_filename: The name of your .csv file
• which years you want
• start and ending weeks
• team list - by default all teams are listed

Example 1

The following produces a master file of all data for the 2013 and 2014 seasons. This is the same output as Sample_output.csv.

• data_folder_loc = '../NFL/Data'
• model_folder_loc = '../NFL/Models'
• model_filename = 'Master_13_14.csv'
• years = [2013, 2014]
• start_week = [1, 1]
• end_week = [17, 17]
• team_list = ['crd', 'atl', 'rav', 'buf', 'car', 'chi', 'cin', 'cle', 'dal', 'den', 'det','gnb', 'htx', 'clt', 'jax', 'kan', 'mia', 'min', 'nwe', 'nor', 'nyg', 'nyj', 'rai', 'phi', 'pit', 'sdg', 'sfo', 'sea', 'ram', 'tam', 'oti', 'was']

Example 2

The following would get 2015 NFL data for the first 6 weeks of the season:

• data_folder_loc = '../NFL/Data'
• model_folder_loc = '../NFL/Models'
• model_filename = 'data_15_w6.csv'
• years = [2015]
• start_week = [1]
• end_week = [6]
• team_list = ['crd', 'atl', 'rav', 'buf', 'car', 'chi', 'cin', 'cle', 'dal', 'den', 'det','gnb', 'htx', 'clt', 'jax', 'kan', 'mia', 'min', 'nwe', 'nor', 'nyg', 'nyj', 'rai', 'phi', 'pit', 'sdg', 'sfo', 'sea', 'ram', 'tam', 'oti', 'was']