Web Scraping 101: Learn The Basics of Beautiful Soup 4 and Web Scraping with Python. 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:

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.

[ldmo]

Literally all of this information is exactly what I've been trying to find, and you're using basketball which is why I wanted to learn this! Never had such success with a search bar

[wavesauce]

I wanted to say I have been following step by step and thus far have been right on par. I have found that small errors like capitalization and parenthesis are very important but all have been great instructions and very clear. Thank you

[toddjones]

Great video. I enjoyed it. Keep up the great content!

[kareemgates]

Thanks for sharing! Can HasData work alongside Beautiful Soup for a smoother scraping process in Python?

[evanwright]

How would I web scrape in DraftKings for the "Last 10 days" tab? I want the players average over the last 10 days that DraftKings provides but I can't seem to figure it out

[Injustice]

If a player BBRef name is "Nikola Vučević" but their DK/FD name is "Nikola Vucevic" how would you fix that?

You also have players like:
Moe Harkless and Maurice Harkless
Marvin Bagley III and Marvin Bagley
ect.

Thanks.

[chrisrichardson]

So are you using this data to make your own fantasy projections? If so, would you plug your projections in the lineup optimizer?