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Scrape songs on LyricWiki.

Project description


Scrape music data from LyricsWiki ( Artists, Albums, Songs can be extracted.

Project made during a Deep Learning project for music generation using GPT2 model.


Install lyricsfandom package from PyPi:

pip install lyricsfandom

Or from GitHub:

git clone
cd scrape-lyricwiki
pip install .

Getting Started

LyricsFandom API

You can search for Artist, Album or Song from the API:

from lyricsfandom import LyricWiki

# Connect to the API
wiki = LyricWiki()

# Search for an artist. `LyricsFandom` is not case sensitive.
artist = wiki.search_artist('london grammar')
# Search for an album
album = wiki.search_album('london grammar', 'if you wait')
# ...Or a song
song = wiki.search_song('london grammar', 'strong')
# And retrieve its lyrics
lyrics = song.get_lyrics()


The package is divided as follows:

  • ArtistMeta
  • AlbumMeta, inherits from ArtistMeta
  • SongMeta, inherits from AlbumMeta

Retrieve data

Once you have one of these objects, you can also access data directly through their methods:

artist = wiki.search_artist('london grammar')
albums = artist.get_albums()
songs = artist.get_songs()

# Idem from an album
album = wiki.search_album('london grammar', 'if you wait')
songs = album.get_songs()

In addition, you can retrieve parent objects from children:

artist = wiki.search_artist('london grammar')
song = artist.search_song('strong')

# Access to parent classes
album = song.get_album()
artist = song.get_artist()

You can scrape for description, links and other details information:

artist = wiki.search_artist('london grammar')
info = artist.get_info()  # description of the artist (band members, genres, labels etc.)
links = artist.get_links()  # links where to buy the artist's music.

Save and export

You can save data in a JSON format (and encode it to ASCII if you want).

artist = wiki.search_artist('london grammar')
artist_data = artist.to_json(encode='ascii')
# Idem for Album and Song


This package can make a lot of connections while scraping data. Here is a small comparison of different packages, made on scraping 10 songs from an album. pylyrics3 is the fastest to retrieve data, but it only return lyrics on a JSON format (and not OOP). lyricsfandom have similar results, but lyricsmaster is 10 times slower.


Project details

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