pylyrics3

Lyric scraper very loosely based on py-lyrics, updated for Python 3

Installation

Install with pip install pylyrics3

Usage

pylyrics3 has 3 main functions:

• get_artist_lyrics(artist, albums=False) - scrapes and returns all lyrics by a particular artist as a dict keyed by song title. If albums=True, will return a nested dict keyed by album title and then song title (see below).
• get_song_lyrics(artist, song) - scrapes and returns the lyrics of a song as a string
• get_lyrics_from_url(url) - scrapes the lyrics off the specified lyric wiki url

>>> import pylyrics3

>>> bon_iver_lyrics = pylyrics3.get_artist_lyrics('bon iver')

>>> bon_iver_lyrics.keys()
dict_keys(['Come Talk To Me', 'Towers', 'Woods', ...)
>>> bon_iver_lyrics['Skinny Love']
"Come on skinny love, just last the year ..."

>>> bon_iver_albums = pylyrics3.get_artist_lyrics('bon iver', albums=True)
>>> bon_iver_albums.keys()
dict_keys(['For Emma, Forever Ago (2007)', 'Blood Bank (2009)', 'Bon Iver, Bon Iver (2011)', '22, a Million (2016)'])
>>> bon_iver_albums['22, a Million (2016)'].keys()
dict_keys(['22 (Over S∞∞N)', '10 D E A T H B R E A S T ⚄ ⚄', ...])
>>> bon_iver_albums['22, a Million (2016)']['22 (Over S∞∞N)']
"(It might be over soon, soon, soon) ..."

>>> pylyrics3.get_song_lyrics('drake', 'hotline bling')
"You used to call me on my, you used to, you used to ..."

>>> pylyrics3.get_lyrics_from_url('http://lyrics.wikia.com/wiki/Lorde:Tennis_Court')
"Don't you think that it's boring how people talk? ..."

You can also create a PyLyrics3 object and (optionally) pass it your own proxies like so:

>>> from pylyrics3 import PyLyrics3
>>> proxies = {...}
>>> pl3 = PyLyrics3(proxies=proxies)
>>> pl3.get_song_lyrics('drake', 'hotline bling')
"You used to call me on my, you used to, you used to ..."