I am a maker of digital products currently living in Amsterdam.
As a data scientist with originally an interaction design background,
I enjoy working with machine learning data problems that require human input.

Downloading Spotify's Daily Viral 50 + Top 200

I wanted to do some data analysis on Spotify tracks to see if there are any changes in listening habits due to season or day of the week. Luckily Spotify publishes a Viral 50 and Top 200 playlist per country, per day on spotifycharts.com, very nice! Also not unimportant: it is possible to download the playlist as a CSV file. Anyway, I went ahead and created a script that does just that: downloading the viral 50 + top 200 playlist per country, per day.

Next, I wanted to try out the Audio Features within the Spotify API. So I created another script that retrieved the audio analysis for every unique track. However, you do need a Developer Access Token for this, which you can request here. The Audio Features script is pretty fast, since the Spotify API can handle up to 100 track id's in a single request.

To make this all easy to reproduce, have a look at the code here. To retrieve charts, run

python retrieve-charts.py.

To retrieve features per unique track in the charts, run

python retrieve-sentiment.py -t <SPOTIFY_ACCESS_TOKEN> -d <CHARTS_CSV_DIRECTORY>1.

The <CHARTS_CSV_DIRECTORY> must point to the directory where the charts are stored that you retrieved with retrieve-charts.py.  ↩︎