spotifyfizyfit, a tool to migrate your Spotify playlists
Project description
SpotifyFizyFit
The Spotify to Fizy Playlist Sync Bot is an automation tool designed to integrate Spotify playlists with Fizy. This bot fetches playlist data from Spotify and adds the tracks to corresponding playlists on Fizy. It simplifies the process of transferring music between these two platforms, ensuring your playlists are consistent across both services.
Installation
Python (Recommended Method)
- spotifyfizyfit can be installed by running
pip install spotifyfizyfit
. - To update spotifyfizyfit run
pip install --upgrade spotifyfizyfit
On some systems you might have to change
pip
topip3
.
Other options
- On Termux - `sh -c "$(curl https://raw.githubusercontent.com/fleizean/spotifyfizyfit/main/install.sh)"` - Build from source ```bash git clone https://github.com/flizean/spotifyfizyfit && cd spotifyfizyfit sh install.sh ``` Right now, enjoy it with `spotifyfizyfit`.Specifying JSON File Path
During installation, you might need to specify the path to a JSON file. You can do this by setting an environment variable or passing the path as an argument to the script. For example:
To get started, you need to request your data from Spotify. Please refer to the following document for detailed instructions:
[Spotify Data Collection Guide](md/SpotifyCollectData.md)
Usage
To use the Spotify to Fizy Playlist Sync Bot, follow these steps:
-
Install the
spotifyfizyfit
package by running the following command:pip install spotifyfizyfit
-
Update the
spotifyfizyfit
package to the latest version with the following command:pip install --upgrade spotifyfizyfit
Note: On some systems, you might need to use
pip3
instead ofpip
.
01. Specify the path to your JSON configuration file. You can do this in one of the following ways:
- **Directly as a Command-Line Argument:**
```bash
spotifyfizyfit /path/to/your/config.json
```
- Enjoy using
spotifyfizyfit
to sync your Spotify playlists with Fizy!
Contributions
We welcome contributions to the SpotifyFizyFit project! If you would like to contribute, please read the CONTRIBUTING.md file for detailed instructions on how to get started.
Thank you for your interest in contributing to our project!
License
This project is Licensed under the MIT License.
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