Web Scraping With Beautiful Soup - Part 2

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In today's video I will be walking through an introduction to the Python package, Beautiful Soup 4.

Beautiful Soup is a MUST HAVE package for anyone interested in web scraping with python. It provides a very easy to use method of parsing through web data, and is a great starting point for more advanced automated web navigation and scraping.

THIS VIDEO IS A DIRECT CONTINUATION OF PART 1. IF YOU HAVE NOT VIEWED PART ONE, PLEASE SEE LINK BELOW TO GET CAUGHT UP:

https://youtu.be/LLOJOPXA9PY

Topics we will cover:

This video will cover real world implementation of the Beautiful Soup Python Package. We will be scraping NBA Statistics from basketball-reference for the 2019/20 season, and dumping this data into a pandas dataframe. From there we will review how to export a dataframe into excel for future use.

The stats website basketball-reference is what I will be using to demonstrate the capabilities of Beautiful Soup, specifically the player's per game stats for the 2019-2020 season. Link below.
https://www.basketball-reference.com/leagues/NBA_2020_per_game.html