playlist rate limiting

[nightrainlily]

my app calls the API to get playlists (<1000) and then calls it again to get the tracks and some track features from those playlists, which ends up being around 10000 tracks. is there a better way to do this to avoid rate limiting?

playlist_data = []

for result in results:
    for playlist in result['items']:
        time.sleep(1)
        playlist_data.append({
            'name' : playlist['name'],
            'track_ids' : sp.playlist_tracks(playlist['id'], fields='items(track(id))'),
            'track_names' : sp.playlist_tracks(playlist['id'], fields='items(track(name))'),
            'id' : playlist['id'],
            # 'image' : playlist['images'][0].get('url')
        })

playlists = pd.DataFrame(playlist_data)
# playlists.head().style.format({'image': lambda x : f''})
playlists.head()

later I also need to call audio_features for each track, which I'm worried will also cause a rate limiting error. is there a better way to do that? 

[Ximzend]

I recommend cutting your request in half by using sp.playlist_tracks(playlist['id'], fields='items(track(id,name))') instead of requesting them separately.

[nightrainlily]

it's still hanging... but am I right to assume just the one call shouldn't cause a rate limiting issue? there are about 900 playlists.