Skip to main content

lyricsfandom

Scrape music data from LyricsWiki (https://lyrics.fandom.com). Artists, Albums, Songs can be extracted.

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

Installation

Install lyricsfandom package from PyPi:

pip install lyricsfandom

Or from GitHub:

git clone https://github.com/arthurdjn/scrape-lyricwiki
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()

Structure

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

Efficiency

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.

img

Metadata

Release files for lyricsfandom 0.2.1

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for lyricsfandom 0.2.1
File Size Uploaded Provenance
lyricsfandom-0.2.1.tar.gz 498.8 kB Without provenance Details

Release files / lyricsfandom-0.2.1.tar.gz

Download URL lyricsfandom-0.2.1.tar.gz
Size 498.8 kB
Tags Source
SHA-256 checksum
How to use checksums
1e45c74a1cc43a75caf8994b78cf1388ed2cccc927c97fc137a02ef20cc50691
BLAKE2b-256 checksum
How to use checksums
de231d50d673639a8490e3719579d04ed168b6aaee62e53591fc88ed25f8294b
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/3.1.1 pkginfo/1.5.0.1 requests/2.21.0 setuptools/45.2.0.post20200210 requests-toolbelt/0.9.1 tqdm/4.31.1 CPython/3.7.4

Security for lyricsfandom 0.2.1

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Release history Release notifications | RSS feed

This release

0.2.1 This release

1 release file No provenance

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page