How to Build an ETL App for Spotify Data in Python with CData

The rich ecosystem of Python modules lets you get to work quickly and integrate your systems more effectively. With the CData API Driver for Python and the petl framework, you can build Spotify-connected applications and pipelines for extracting, transforming, and loading Spotify data. This article shows how to connect to Spotify with the CData Python Connector and use petl and pandas to extract, transform, and load Spotify data.

With built-in, optimized data processing, the CData Python Connector offers unmatched performance for interacting with live Spotify data in Python. When you issue complex SQL queries from Spotify, the driver pushes supported SQL operations, like filters and aggregations, directly to Spotify and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations).

Connecting to Spotify Data

Connecting to Spotify data looks just like connecting to any relational data source. Create a connection string using the required connection properties. For this article, you will pass the connection string as a parameter to the create_engine function.

Using OAuth Authentication

Spotify uses OAuth 2.0 for authentication. You will need to create an application in the Spotify Developer Dashboard to obtain your client credentials.

Setting Up Your Spotify Application

1. Visit the Spotify Developer Dashboard.
2. Log in with your Spotify account and click Create app.
3. Provide an app name, description, and set a Redirect URI (e.g.,

   http://localhost:33333

   for desktop applications).
4. Copy your Client ID and Client Secret from the app settings.

Connection Properties

After setting the following connection properties, you are ready to connect:

• AuthScheme: Set this to OAuth.
• InitiateOAuth: Set this to GETANDREFRESH. You can use InitiateOAuth to manage the process to obtain the OAuthAccessToken.
• OAuthClientId: Set this to your Spotify application's Client ID.
• OAuthClientSecret: Set this to your Spotify application's Client Secret.
• Scope: Set this to the required OAuth scopes (space-separated). The default includes all read scopes needed for the tables in this profile.
• CallbackURL: Set this to the Redirect URI configured in your Spotify application (e.g., http://localhost:33333).

Example Connection String

Profile=C:\profiles\Spotify.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;

Available OAuth Scopes

• user-read-private: Read access to user's subscription details and explicit content settings.
• user-read-email: Read access to user's email address.
• user-library-read: Read access to a user's saved tracks, albums, episodes, shows, and audiobooks.
• playlist-read-private: Read access to user's private playlists.
• playlist-read-collaborative: Read access to collaborative playlists the user follows.
• user-follow-read: Read access to the list of artists the current user follows.
• user-read-playback-state: Read access to a user's player state (device, current track, progress).
• user-read-currently-playing: Read access to a user's currently playing content.
• user-read-playback-history: Read access to a user's recently played tracks.
• user-top-read: Read access to a user's top artists and tracks.

After installing the CData Spotify Connector, follow the procedure below to install the other required modules and start accessing Spotify through Python objects.

Install Required Modules

Use the pip utility to install the required modules and frameworks:

pip install petl
pip install pandas

Build an ETL App for Spotify Data in Python

Once the required modules and frameworks are installed, we are ready to build our ETL app. Code snippets follow, but the full source code is available at the end of the article.

First, be sure to import the modules (including the CData Connector) with the following:

import petl as etl
import pandas as pd
import cdata.api as mod

You can now connect with a connection string. Use the connect function for the CData Spotify Connector to create a connection for working with Spotify data.

cnxn = mod.connect("Profile=C:\profiles\Spotify.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;")

Create a SQL Statement to Query Spotify

Use SQL to create a statement for querying Spotify. In this article, we read data from the Albums entity.

sql = "SELECT ,  FROM Albums WHERE Id = '4aawyAB9vmqN3uQ7FjRGTy'"

Extract, Transform, and Load the Spotify Data

With the query results stored in a DataFrame, we can use petl to extract, transform, and load the Spotify data. In this example, we extract Spotify data, sort the data by the column, and load the data into a CSV file.

Loading Spotify Data into a CSV File

table1 = etl.fromdb(cnxn,sql)

table2 = etl.sort(table1,'')

etl.tocsv(table2,'albums_data.csv')

With the CData API Driver for Python, you can work with Spotify data just like you would with any database, including direct access to data in ETL packages like petl.

Free Trial & More Information

Download a free, 30-day trial of the CData API Driver for Python to start building Python apps and scripts with connectivity to Spotify data. Reach out to our Support Team if you have any questions.

Full Source Code

import petl as etl
import pandas as pd
import cdata.api as mod

cnxn = mod.connect("Profile=C:\profiles\Spotify.apip;AuthScheme=OAuth;InitiateOAuth=GETANDREFRESH;OAuthClientId=your_client_id;OAuthClientSecret=your_client_secret;CallbackURL=http://localhost:33333;")

sql = "SELECT ,  FROM Albums WHERE Id = '4aawyAB9vmqN3uQ7FjRGTy'"

table1 = etl.fromdb(cnxn,sql)

table2 = etl.sort(table1,'')

etl.tocsv(table2,'albums_data.csv')