Python Spotify Web Player Scraper, a fast high-level Spotify Web Player Scraper, to scrape and extract data from Spotify Web Player with the most efficient and fastest methods. instead of using Selenium, I used requests library to increase the speed of scraping. You can set cookies, headers and proxy and download the cover and preview mp3 song of Spotify songs beside the scraping.

• Python 3.6 +
• Works on Linux, Windows, macOS, BSD
• Internet connection

You can install this package as simple as type a command in your CMD or Terminal. The quick way:

$ pip install -U spotifyscraper

or do it in the hard way:

$ git clone https://github.com/AliAkhtari78/SpotifyScraper.git
$sudo python setup.py install

Check out Read The Docs for a more in-depth explanation, with examples, troubleshooting issues, and more useful information.

• from SpotifyScraper.scraper import Scraper, Request

Import SpotifyScraper to use it

• request = Request().request()

Create requests using Request which was imported before, You can also pass cookie_file, header and proxy inside Request(). Default is None.

• print(Scraper(session=request).get_track_url_info(url='https://open.spotify.com/track/7wqpAYuSk84f0JeqCIETRV?si=b35Rzak1RgWvBAnbJteHkA'))

Call get_track_url_info function from Scraper to extract all the infromation from url. If the given URL is valid, it will return a dict with the below keys:

• title
• preview_mp3
• duration
• artist_name
• artist_url
• album_title
• album_cover_url
• album_cover_height
• album_cover_width
• release_date
• total_tracks
• type_
• ERROR

• $ { 'title': 'The Future Never Dies', 'preview_mp3': 'https://p.scdn.co/mp3-preview/2d706ceae19cfbc778988df6ad5c60828dbd8389?cid=a46f5c5745a14fbf826186da8da5ecc3', 'duration': '4:3', 'artist_name': 'Scorpions', 'artist_url':'https://open.spotify.com/artist/27T030eWyCQRmDyuvr1kxY', 'album_title': 'Humanity Hour 1', 'album_cover_url':'https://i.scdn.co/image/ab67616d0000b273e14019d431204ff27785e349', 'album_cover_height': 640, 'album_cover_width': 640, 'release_date': '2007-01-01', 'total_tracks': 12, 'type_': 'album', 'ERROR': None}

• from SpotifyScraper.scraper import Scraper, Request

• request = Request().request()

• playlist_info = Scraper(session=request).get_playlist_url_info(url='https://open.spotify.com/playlist/37i9dQZF1DX74DnfGTwugU')

Call get_playlist_url_info function from Scraper to extract all the infromation from url. If the given URL is valid, it will return a dict with the below keys:

• album_title
• cover_url
• author
• author_url
• playlist_description
• tracks_list
• ERROR

• from SpotifyScraper.scraper import Scraper, Request

• request = Request().request()

• path = Scraper(session=request).download_cover(url='https://open.spotify.com/track/7wqpAYuSk84f0JeqCIETRV?si=b35Rzak1RgWvBAnbJteHkA')

Call download_cover function from Scraper to download the cover of the provided song.

if the provided URL is valid, it will return the path of downloaded cover to you.

• from SpotifyScraper.scraper import Scraper, Request

• request = Request().request()

• path = Scraper(session=request).download_preview_mp3(url='https://open.spotify.com/track/7wqpAYuSk84f0JeqCIETRV?si=b35Rzak1RgWvBAnbJteHkA')

Call download_preview_mp3 function from Scraper to download the preview mp3 song of the provided URL.

if the provided URL is valid, it will return the path of downloaded mp3 to you.

• Report bugs, suggest features, or view the source code on GitHub.
• Read the doc to use all provided functions of this library.
• get in touch with me by my website: Ali Akhtari