Spotipy API to scrape Spotify Data

출처: https://machinelearningknowledge.ai/tutorial-how-to-use-spotipy-api-to-scrape-spotify-data/

Step 1: Creating Spotify Developers Account
기존에 사용하던 Spotify 계정을 사용하여 로그인

Step 2: Creating a New App

Step 3: Obtaining Client Id and Client Secret Keys

load the necessary libraries

pip install spotipy

import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
import json

import numpy as np
import pandas as pd

client_id and client_secret

client_id = <step 3의 32자 난수의 id 복사>
client_secret = <step 3의 32자 난수의 secret 복사>

client_credentials_manager = SpotifyClientCredentials(client_id=client_id,client_secret=client_secret)
sp = spotipy.Spotify(client_credentials_manager=client_credentials_manager)

Spotify playlist

# https://open.spotify.com/playlist/37i9dQZF1DX35DWKgAk2B5
# 위 url에서 37i9dQZF1DX35DWKgAk2B5 부분
playlist_id = <알고자 하는 playlist의 url의 난수 복사>
results = sp.user_playlist(<username>, playlist_id, 'tracks')

details of the track

playlist_tracks_data = results['tracks']
playlist_tracks_id = []
playlist_tracks_titles = []
playlist_tracks_artists = []
playlist_tracks_first_artists = []

for track in playlist_tracks_data['items']:
    playlist_tracks_id.append(track['track']['id'])
    playlist_tracks_titles.append(track['track']['name'])
    # adds a list of all artists involved in the song to the list of artists for the playlist
    artist_list = []
    for artist in track['track']['artists']:
        artist_list.append(artist['name'])
    playlist_tracks_artists.append(artist_list)
    playlist_tracks_first_artists.append(artist_list[0])

extract audio features

features = sp.audio_features(playlist_tracks_id)

feature_df = pd.DataFrame(data=features, columns = features[0].keys())

merge audio features and track information

features_df['title'] = playlist_tracks_titles
features_df['first_artist'] = playlist_tracks_first_artists
features_df['all_artists'] = playlist_tracks_artists
#features_df = features_df.set_index('id')
features_df = features_df[['id', 'title', 'first_artist', 'all_artists',
                           'danceability', 'energy', 'key', 'loudness',
                           'mode', 'acousticness', 'instrumentalness',
                           'liveness', 'valence', 'tempo',
                           'duration_ms', 'time_signature']]
                           
features_df

create dataset

features_df.to_csv("playlist.csv", encoding='utf-8',index="false")