listenbrainz-export 0.2.2

Export your scrobbling history from ListenBrainz

listenbrainz_export

Export your scrobbling history form ListenBrainz. ListenBrainz is a public/open-source alternative to RateYourMusic

Since the data is public, no API key/Authentication is required.

Installation

Requires python3.10+

To install with pip, run:

pip install listenbrainz_export

Usage

Provide your listenbrainz username -- prints results to STDOUT

listenbrainz_export export purarue > ./data.json

Can also only request a few pages:

listenbrainz_export export purarue --pages 3

Or can request only recent listens:

listenbrainz_export export purarue --days 30

listenbrainz_export.parse includes a model of the data and some functions to parse them into python objects, like:

>>> from listenbrainz_export.parse import iter_listens
>>> listens = list(iter_listens("data.json"))
>>> listens[12]
Listen(track_name='Skate', artist_name='Bruno Mars, Anderson .Paak & Silk Sonic', listened_at=datetime.datetime(2021, 11, 6, 19, 10, 49), inserted_at=datetime.datetime(2021, 11, 7, 2, 12, 31), recording_id='e60b9417-acfe-4796-a048-76208fb4a9ad', release_name='Skate - Single', metadata={'artist_msid': 'df6f6937-5de3-4e3c-bd74-1991ed92abd5', 'recording_msid': 'e60b9417-acfe-4796-a048-76208fb4a9ad', 'release_msid': 'dcf6d703-1e95-4e9c-8218-bb7c3b3bfa0b'}, username='purarue')

I use this almost exclusively through my HPI; that locates my exports on disks and removes any duplicate scrobbles

This also includes a playing-now command, which prints the currently playing track, if any:

listenbrainz_export playing-now purarue

That returns a JSON list, since you can have multiple songs playing at the same time).

The return code is 0 if there is a song playing, 1 if there is no song playing.

Tests

git clone 'https://github.com/purarue/listenbrainz_export'
cd ./listenbrainz_export
pip install '.[testing]'
mypy ./listenbrainz_export
flake8 ./listenbrainz_export