Static and Dynamic Page Scraping Examples

https://en.wikipedia.org/wiki/List_of_languages_by_number_of_native_speakers
Top languages by population.
Extract table data from a single static html page.
Columns: rank, language, speakers, percentage of world population, language family.

https://www.uefa.com/uefachampionsleague/history/rankings/players/goals_scored/
UEFA Champions League top scorers.
Extract table data from a single static html page with infinite scrolling.
Columns: player name, goals.

https://www.amazon.com/Car-Seats/
Amazon.com car seats products.
Extract first two product pages from Amazon car seats category.
Columns: title, stars, ratings, answered questions, listing price, current price, savings.
https://www.goodreads.com/choiceawards/best-fiction-books-2019
GoodReads.com best book nominees 2019.
Extract best book nominees from the first two categories.
Columns: title, author(s), rating.
https://us.spindices.com/indices/equity/dow-jones-industrial-average
Dow Jones indices.
Extract excel files with Dow Jones data. Filenames are renamed to a user-friendly format based on a title selector.
Example of waiting for additional content to load in page (charts with export button) before scraping.

https://imgur.com/r/funny
Imgur images.
Extract images (not videos) from 10 reddit/r/funny posts.
Filenames are renamed based on img.alt attribute.