Visualizing the greatest songs of all times (and learning why Nigel Tufnel might be wrong) — Intro and setup In two previous articles, we scraped Rolling Stone’s list of the “Greatest 500 songs of all time” and retrieved audio features for each of them from Spotify’s API (with the help of the fantastic spotipy library). Now that we have all the data, we can start doing some analysis. …

Analyzing Rolling Stone’s 500 Greatest Songs through Spotify’s API in Python — [This is the second in a series of three articles] In Part 1, we looked at how to retrieve data from the web. In this article, we will focus more on interacting with an API and on using Pandas. Getting data from the Spotify API. Previously we used web scraping to get a dataframe containing all…

Webscraping dynamically generated content in Python with Selenium and BeautifulSoup — [This is the first in a series of three articles] Web scraping, visualisation, list comprehension, regular expression, pandas! This project has it all — including pickles ! [UPDATE Sept. 1st, 2020: since the first publication of this article, Rolling Stone has changed the source code to its page. As a result I have updated the code to allow the retrieval of dynamically generated contents.]