Gets play-by-play data from the NBA website
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Use link_scraper.py to specify the date range of the games, then run it. This will output a date and link for each game in that date range.
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Use get_plays.py to generate a .csv file that will use the links generated from link_scraper.py to get summary statistics about each player in each game within the date range.
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Perform analysis on the .csv file generated by get_plays.py.
Note: get_plays.py uses multithreading to speed up the scraping. This will cause the games to be in an unpredictable order.
Copy this game's JSON data into this JSON viewer to get an idea of the data contained in the NBA's website.
