How Would You Do It? Data Challenge: Web Scraping Amazon's Best sellers

This month's meetup will focus on solving a data challenge. The objective is for attendees to work on solving a specific data problem on their own (or with others!) and then sharing how they arrived at a solution during the meetup. We will provide a loose structure around the problem, but feel free to go above and beyond. You learn by doing!
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The Challenge:
Scrape data for the Top 100 Best Sellers in Data Processing:
https://www.amazon.com/gp/bestsellers/books/10806588011/ref=pd_zg_hrsr_books

Suggested Data Fields to Capture:

• Title
• Author
• Publication Year
• Price
• Ratings (optional)
• Reviews (optional)
• ISBN (optional)
• Frequently Bought Together (optional)
• Table of Contents (optional)
• Product details (optional)

Suggested Analyses (optional):

• Text analysis on reviews
• Which programming languages or technologies appear in the Top 100?
• Are there price differences among books focused on R or Python?
• How have the Top 100 books changed over time?
• Which books appear the most in the Frequently Bought Together section?

Web Scraping Resources:
https://justrthings.com/2019/03/03/web-scraping-amazon-reviews-march-2019/
https://www.freecodecamp.org/news/an-introduction-to-web-scraping-using-r-40284110c848/
https://martinctc.github.io/blog/vignette-scraping-amazon-reviews-in-r/
https://www.r-bloggers.com/web-scraping-amazon-reviews-march-2019/
https://www.youtube.com/watch?v=smriIBG08ok

You may adjust this data challenge to suit your interests. We look forward to seeing the different solutions you all come up with!
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