At the end of every year, music fans wait eagerly for Spotify Wrapped to drop and reveal their listening secrets. But you don’t have to wait until December to find out more about your music habits. In fact, you can use ChatGPT to create a much more personalized version of Spotify Wrapped that tells you exactly what you want to know.
Here’s how to roll your own Spotify Wrapped, whenever you want it.
Request Your Spotify Data
The first step is to request your listening history from Spotify. The company lets you request data from the past year or for the entire lifetime of your account. If you only want data from the past year, Spotify should send you that within a few days. If you want the lifetime’s worth of data, that can (unbelievably) take up to 30 days to retrieve.
To request your data:
- Visit the Spotify website and log in with your account details
- Click your profile picture in the top right corner and select Account
- Scroll down and select the Privacy setting
- On this screen you should find the two options to request your data
When the data’s ready, Spotify will email you a link from which you can download the data folder.
Upload Your Data To ChatGPT
For this, you’re going to need a ChatGPT Plus subscription ($20 per month), because the free tier doesn’t allow you to upload your own files for analysis.
Open the folder of Spotify data and look for a file called “StreamingHistory_music_0.json”.
You can actually double-click on this file and open it with any web browser. In it, you should find a long list of every track you’ve played on Spotify. The data includes the precise time and date you listened to the track, the artist’s name, the track name, and the length of time you played the track for in milliseconds.
Now start a new chat with ChatGPT Plus, and either drag that StreamingHistory file into the chat window or press the paperclip icon and find the file on your computer.
Once it’s uploaded, you can start asking ChatGPT to analyze the data in a variety of different and interesting ways.
What To Ask ChatGPT About Your Spotify Data
You’ll already know your top artists and tracks of the year from Spotify’s own data. However, you can dive deeper here.
For example, if you want to find out how your listening habits have changed over time you could ask: “Show me which artist I listened to most in each month of the year.” If you’re using the data from the lifetime history of your account, you can ask for the monthly data for every month since you opened your account, to get a much longer view of how your listening habits have changed (or not).
Instead of a monthly breakdown, you can ask ChatGPT which artists you listen to most on each day of the week. To drill down even further, you can even break it down by time of day.
For example, I asked ChatGPT to “Give me a list of the artist I listened most to, on average, at every hour of the day. So, for example: 00:00-00:59 Madness, 01:00-01:59 Oasis etc.” (It’s always good to give ChatGPT an example of the output you’re expecting to cut down on errors.)
In my case, Spotify returned the following data:
00:00-00:59: Noel Gallagher’s High Flying Birds (5 plays)
01:00-01:59: Noel Gallagher (3 plays)
02:00-02:59: Alabama Shakes (1 play)
03:00-03:59: Billy Bragg (1 play)
04:00-04:59: The Sands (1 play)
05:00-05:59: Amber Leigh Irish (1 play)
06:00-06:59: Squeeze (12 plays)
07:00-07:59: Gaz Coombes (11 plays)
08:00-08:59: Unknown Artist (17 plays)
09:00-09:59: Fred again.. (17 plays)
10:00-10:59: U2 (17 plays)
11:00-11:59: Paul Heaton (15 plays)
I’ve cut the list short here, but it’s indicative of the type of results you can get, with the more energetic Fred again tracks typically riding high when I’m in the gym, and the “dad rock” starting to kick in more by lunchtime.
You’ll note in this list that “Unknown Artist” makes an appearance at 8am. It seems that when Spotify removes a track/artist from its collection, your data merely shows “unknown” in the artist and track name fields. To avoid unknowns clogging up your results, you can ask ChatGPT to re-run the query, “excluding unknown artists”.
Advanced Spotify Analysis
What more can you glean from your data? Well, you could drill down into specific artists. For example: “Show the ten most played Radiohead songs.” Again, those kind of requests are more interesting with lifetime data, rather than a single year’s worth.
The length of time you played the track for also throws up some interesting possibilities. If you’re anything like me, you spend a fair amount of time listening to Spotify-generated playlists, skipping past tracks you don’t like. If you want to get a list of artists that you skip most often, you could ask: “List the ten most played artists where ‘ms played’ is less than 30000.”
That will show you the artists you’ve skipped most in the first 30 seconds of the track playing, perhaps giving you a hit list of artists you can add to your Spotify blacklist to prevent their tracks playing in auto-generated playlists. (Embarrassingly, this option to block specific artists still isn’t in Spotify’s desktop app.)
Finally, how about using your music history to create a quiz to test your music knowledge? You can ask ChatGPT to “create a quiz for me based on my favorite artists and tracks.” Before you hit Enter on that prompt, ask ChatGPT to act as the quizmaster and to let you enter your answers in the chat box, otherwise it will simply spit out the questions and the answers together and ruin your fun.
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