How to speed up Spotify API calls?

May 23, 2022

I am retrieving track data from spotify api for a total of 10 tracks, but it takes around 2-3 seconds to run. Is there any way to speed it up by using some python libraries like multiprocessing or something else.

track_url = []
track_name = []
album_image = []
for i in range(len(tracks_recommend)):
    track_id = tracks_recommend.at[i, 'id']
    # call to spotify api
    res = spotify.track(track_id=track_id)
    track_url.append(res['external_urls'])
    track_name.append(res['name'])
    album_image.append(res['album']['images'][0]['url'])

>Solution :

Is there any way to speed it up by using some python libraries like multiprocessing

Yes, multiprocess works great running API requests in parallel. This will get you started:

from multiprocessing.pool import ThreadPool as Pool

def recommend(track_id):
    return spotify.track(track_id=track_id)

track_ids = [tracks_recommend.at[i, 'id']
             for i in range(len(tracks_recommend))]

with Pool(5) as pool:
   for res in pool.map(recommend, track_ids):
      ...