soundchartspy 0.1.2

A python wrapper package for the paid api from SoundCharts. This package is not affiliated with soundcharts and is not endorsed by them. However, it is built upon their api and can be used assuming you have a paid subscription to their service.

Installation

To install from PyPI, simply run:

pip install soundchartspy

If you’d like to install the latest development version from source:

pip install -e 'git+https://github.com/AidanAlr/soundchartspy.git#egg=soundchartspy'

Make sure to you have contacted SoundCharts and have purchased a plan providing the required app id and api key.

About

soundchartspy is a wrapper package enabling easier pythonic interaction with the SoundCharts API (SoundCharts API documentation). It provides an easy interface to retrieve data about songs, artists, charts and more. This package is not affiliated with or endorsed by SoundCharts, though an active SoundCharts API subscription is required to use the package.

For detailed information, consult the documentation hosted on Read the Docs.

Documentation

Documentation for soundchartspy is located at https://soundchartspy.readthedocs.io/.

Example Usage

Here’s an example of how to use soundchartspy:

from soundchartspy.client import SoundCharts
from soundchartspy.data import Song, Album

# Initialize the SoundCharts client
sc = SoundCharts(api_key='your_api_key', app_id='your_app_id')

# Get the song by UUID
song: Song = sc.song(song_uuid='7d534228-5165-11e9-9375-549f35161576')
print("Song Name: {}, Artists: {}".format(song.name, song.artists))

# Get the song audience on Spotify
audience_data: dict = sc.song_audience(song.uuid, 'spotify')
print("Spotify Audience: {}".format(audience_data))

# Get the song albums
albums: list[Album] = sc.song_albums(song.uuid)
print("Albums: {}".format(albums))

Found a Bug?

Issues are tracked via GitHub at the project issue page.

Contributing

1. Check for open issues on the project issue page, or open a new issue to start a discussion about a feature or bug.

2. Fork the soundchartspy repository on GitHub to start making changes.

3. Add a test case to ensure that the bug is fixed or the feature is implemented correctly.

4. Submit your pull request for review.