Beginner Python Project From Scratch: Web Scraping Switch Game Sales and Review Scores

In this video, I'll be walking you through a real-world web scraping scenario to gather as much information as we can about the sales and review scores of Nintendo Switch games. We'll be starting from absolute scratch, and build a data set from the ground-up.

This video does not aim to be a super rigorous scraping/statistcal exercise, but rather present a learning opportunity for someone to view the process of how they can gather their own data in a real-world context.

Links:

Personal Channel -    / @homedawg_yt  

Wikipedia Table for Best-Selling Switch Games - https://en.wikipedia.org/wiki/List_of...

Full Code Repository - https://github.com/ChristianD37/Youtu...

Jupyter Notebook Beginner's Guide: https://www.dataquest.io/blog/jupyter...

Timestamps:
Introduction: 0:00
Setup and Package Installation: 0:45
Scraping Wikipedia for the Best-Selling Switch Games: 3:00
Cleaning the Best Selling Games Table: 9:17
Scraping Metacritic Review Scores: 19:12
Creating the Metacritic Scraper (Obtaining Reviews for all Games): 31:35
Creating the Metacritic Scraper (Obtaining Reviews for all Games): 39:28
Joining the Sales and Reviews Tables: 40:51
Validation and Exporting the Table: 41:57
Final Result and Outro: 44:35

Disclaimer: Web scrape responsibly. I am not responsible for any repercussions you may experience. Please be nice to any websites when scraping them. Provide a generous delay when scraping and consider avoiding sites that explicitly don't want to be scraped. Using a VPN is also highly recommended. I take no responsibility if you get IP banned.