This is a Jupyter Notebook that allows you to download Spotify music using Google Colab. You can use this notebook to download songs, albums, or playlists from Spotify in MP3 format.

• GoogleColab_Spotify-Music-Downloader
  • Technologies used
  • How to use
  • Features
  • License
  • How to contribute

• Python 3.7
• spotdl 3.9.1
• youtube-dl 2021.12.17

1. Open the notebook in Google Colab by clicking this link: https://colab.research.google.com/github/asurpbs/GoogleColab_Spotify-Music-Downloader/blob/main/Spotify_Music_Downloader.ipynb
2. Run the first cell to prevent from timeouts in google colab.
3. Run the second cell to install the required packages & mount your Google Drive. You will need to authorize the access and copy the verification code.
4. Run the fourth cell to enter the Spotify URL of the song, album, or playlist that you want to download. You can also enter multiple URLs separated by commas.
5. After that start the downloading process. You can monitor the progress and any errors in the output.
6. Once the downloading is finished, you can find your music files in the "Downloads" folder in your Google Drive.

• Download Spotify music in MP3, FLAC, OGG, M4A, OPUS & WAV format using Google Colab
• You can choose your preferred birtate.
• Can generate lrc file & can added synced lyrics.
• Download songs, albums, or playlists from Spotify
• Save music files to Google Drive

This project is licensed under the MIT License - see the LICENSE file for details.

If you want to contribute to this project, you are welcome to do so. Here are some steps you can follow:

1. Fork this repository and clone it to your local machine.
2. Create a new branch for your feature or bug fix.
3. Make your changes and commit them with a descriptive message.
4. Push your branch to your forked repository.
5. Create a pull request from your branch to the main branch of this repository.
6. Wait for the review and feedback.

Please make sure that your code is well-formatted and follows the PEP 8 style guide for Python code. You can also run tests and check for errors before submitting your pull request.

Thank you for your interest and support!