Spotify Connector

This is a simple library for connecting to the unofficial Spotify podcast API.
It can be used to export data from your dashboard at https://podcasters.spotify.com/home.

Supported Data

• List of episodes
• Starts and streams
• Listeners
• Followers
• Gender
• Age
• Country
• Episode performance

Credentials

Before you can use the library, you must extract your Spotify credentials from the dashboard; they are not exposed through your Spotify settings.

You can use our web extension for that or take a look at the code to see how to do it manually.

Installation

pip install spotifyconnector

Usage as a library

from spotifyconnector import SpotifyConnector

# Set up the connector
connector = SpotifyConnector(
    base_url="https://generic.wg.spotify.com/podcasters/v0123"
    client_id="your_client_id", #login to spotify and monitor connection to get the id
    podcast_id="your_spotify_podcast_id",
    sp_dc="xxxxxxxxxxxxxxxxxx", #can be found in cookies after logged in
    sp_key="xxxxxxxxxxxxxxxxxx" #can be found in cookies after logged in
)

# Get podcast metadata
connector.metadata()

# Get the list of listeners of a podcast
listeners = connector.listeners()

# Get the aggregated listeners of a podcast (by age, country, gender)
aggregate = connector.aggregate()

# Iterate over all episodes (supports pagination)
for episode in connector.episodes():
    # Do something with episode
    pass

# Get the performance of an episode
performance = connector.performance("episode_id")

# ...

See __main.py__ for all endpoints.

Local Testing

You can run the script locally to test it:

make dev

To run the script with verbose logging:

export LOGURU_LEVEL=TRACE
make dev

Development

We use Pipenv for virtualenv and dev dependency management. With Pipenv installed:

1. Install your locally checked-out code in development mode, including its dependencies, and all dev dependencies into a virtual environment:

pipenv sync --dev

2. Create an environment file and fill in the required values:

cp .env.example .env

3. Run the script in the virtual environment, which will automatically load your .env:

pipenv run spotifyconnector

To add a new dependency for use during the development of this library:

pipenv install --dev $package

To add a new dependency necessary for the correct operation of this library, add the package to the install_requires section of ./setup.py, then:

pipenv install

To publish the package:

python setup.py sdist bdist_wheel
twine upload dist/*

or

make publish

Credits

This was inspired by the code at wdr-okr, extended and released to PyPi.