![]() I am not going to get into those processes in this article, but I hope these steps were able to illustrate the ease of getting data from the Spotify Web API using Spotipy. Next comes the exploration, cleaning, and analysis processes. This step only brings the data into a DataFrame. ![]() The code above uses Pandas to create a DataFrame from the lists created in the previous step. Step 4: Load Data into DataFrame for Exploratory Data Analysis import pandas as pd track_dataframe = pd.DataFrame() print(track_dataframe.shape) track_dataframe.head() In the example above, sp.search() returns a maximum of 50 results per query, which is why a nested for loop is utilized. Note: It is important to note that Spotify has set the maximum offset to 10,000. artist_name = track_name = popularity = track_id = for i in range(0,10000,50): track_results = sp.search(q='year:2018', type='track', limit=50,offset=i) for i, t in enumerate(track_results): artist_name.append(t) track_name.append(t) track_id.append(t) popularity.append(t) The following code collects 1,000 Track IDs and their associated track name, artist name, and popularity score. ![]() I started with the search endpoint, exemplified below, because it does not require a Spotify ID. Spotify methods to access Artist, Track, and Album data endpoints all require you to know their individual Spotify ID. import spotipy from spotipy.oauth2 import Spotif圜lientCredentials cid = 'Your Client ID' secret = 'Your Secret ID' client_credentials_manager = Spotif圜lientCredentials(client_id=cid, client_secret=secret) sp = spotipy.Spotify(client_credentials_manager = client_credentials_manager) Step 3: Retrieve Data from Spotify Web API You will need to copy your Client ID and Secret ID that we set up in earlier in this article into the code below to start querying the API’s endpoints. pip install spotipy Step 2: Import and Set Up Spotipy Run the code below in your terminal or a Jupyter Notebook to install Spotipy. I learned the following steps from this GitHub repository and found them to be pretty easy to implement. I will walk you through setting up Spotipy and using one of its built-in methods. Spotipy has pretty succinct documentation that I highly recommend reading before using the library. Again, I have approached this article from a data scientist perspective, which is why I am using Spotipy, a lightweight Python library for Spotify Web API. Now that you are familiar with Spotify Web API, it is time to retrieve data. Using Spotipy, a Python Library for Spotify API You can then preview the JSON output on the right side of the screen. If you are still logged into your developer account, you can easily request tokens using the green “Get Token” button and even automatically fill the query with sample search parameters. ![]() After taking a moment to explore available data and methods in the Spotify Web API Reference (Beta), I recommend trying out the Spotify Web API Console to test various methods and preview the JSON output.
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