Spotify Unwrapped 👀

Explore your Spotify streaming history, playlists & tracks library using Metabase.

Works locally without third-party or API, from GDPR request data.

Getting started

1. Request your Spotify "Account data" and "Extended streaming history" from account privacy settings

2. Place following JSON files to "dataset" folder :

   • Streaming_History_Audio_*.json
   • Playlist*.json
   • YourLibrary.json

3. Launch services via docker-compose up -d

4. Open http://localhost:3000 and set up Metabase by creating an account and adding the following MongoDB database :

   mongodb://admin:password@spotify-database/spotify?retryWrites=true&w=majority&authSource=admin&readPreference=nearest

Fields details

Streaming history

Field	Type	Description
ts	Datetime	This field is a timestamp indicating when the track stopped playing in UTC (Coordinated Universal Time). The order is year, month and day followed by a timestamp in military time
username	String	This field is your Spotify username.
platform	String	This field is the platform used when streaming the track (e.g. Android OS, Google Chromecast).
ms_played	Integer	This field is the number of milliseconds the stream was played.
conn_country	String	This field is the country code of the country where the stream was played (e.g. SE - Sweden).
ip_addr_decrypted	String	This field contains the IP address logged when streaming the track.
user_agent_decrypted	String	This field contains the user agent used when streaming the track (e.g. a browser, like Mozilla Firefox, or Safari).
master_metadata_track_name	String	This field is the name of the track.
master_metadata_album_artist_name	String	This field is the name of the artist, band or podcast.
master_metadata_album_album_name	String	This field is the name of the album of the track.
spotify_track_uri	String	A Spotify URI, uniquely identifying the track in the form of “spotify:track:”.
episode_name	String	This field contains the name of the episode of the podcast.
episode_show_name	String	This field contains the name of the show of the podcast.
spotify_episode_uri	String	A Spotify Episode URI, uniquely identifying the podcast episode in the form of “spotify:episode:”.
reason_start	String	This field is a value telling why the track started (e.g. “trackdone”, see below).
reason_end	String	This field is a value telling why the track ended (e.g. “endplay”, see below).
shuffle	Boolean	This field has the value True or False depending on if shuffle mode was used when playing the track.
skipped	Boolean	This field indicates if the user skipped to the next song.
offline	Boolean	This field indicates whether the track was played in offline mode (“True”) or not (“False”).
offline_timestamp	Integer	This field is a timestamp of when offline mode was used, if used.
incognito_mode	Boolean	This field indicates whether the track was played in incognito mode (“True”) or not (“False”).

reason_start identified values :

• appload
• backbtn
• clickrow
• clickside
• fwdbtn
• persisted
• playbtn
• popup
• remote
• trackdone
• trackerror
• unknown
• uriopen

reason_end identified values :

• backbtn
• clickrow
• clickside
• endplay
• fwdbtn
• logout
• playbtn
• popup
• remote
• trackdone
• trackerror
• unexpected-exit
• unexpected-exit-while-paused
• unknown
• uriopen

Playlists

Field	Type	Description
name	String	Playlist name.
lastModifiedDate	Datetime	Last modified date (note: no time given).
description	String	Playlist description.
tracksCount	Integer	Number of tracks for given playlist.
numberOfFollowers	Integer	Number of followers for given playlist.
items	Array	Playlist tracks.

Miscellaneous

Querying MongoDB

Mongo database is queryable by running :

$ docker exec -it spotify-database mongosh spotify \ 
    --username admin --password password --authenticationDatabase admin

Re-importing data

Data can be re-imported by running :

$ docker stop spotify-database
$ docker rm spotify-database
$ docker volume rm spotify-db
$ docker-compose up -d database

Duration conversion cheatsheet

To convert milliseconds to human-readable unit :

Wanted unit	Operation
ms to seconds	divide by 1 000
ms to minutes	divide by 60 000
ms to hours	divide by 3 600 000
ms to days	divide by 86 400 000