Connect to and Query Spotify Data in QlikView over ODBC

The CData ODBC drivers expand your ability to work with data from hundreds of data sources. QlikView is a business discovery platform that provides self-service BI for all business users in an organization. This article outlines simple steps to connect to Spotify data using the CData ODBC driver and create data visualizations in QlikView.

The CData ODBC drivers offer unmatched performance for interacting with live Spotify data in QlikView due to optimized data processing built into the driver. When you issue complex SQL queries from QlikView to Spotify, the driver pushes supported SQL operations, like filters and aggregations, directly to Spotify and utilizes the embedded SQL engine to process unsupported operations (often SQL functions and JOIN operations) client-side. With built-in dynamic metadata querying, you can visualize and analyze Spotify data using native QlikView data types.

Connect to Spotify as an ODBC Data Source

If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.

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.

When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

Populate a Chart with Spotify Data

The steps below supply the results of an SQL query to a visualization in QlikView. In this article, you will create a bar chart with the query below:

SELECT ,  FROM Albums WHERE Id = '4aawyAB9vmqN3uQ7FjRGTy'

1. Click File -> Edit Script (or click the Edit Script button in the Toolbar).
2. On the Data tab, select ODBC in the Database menu and click Connect.
3. Select the DSN (CData API Sys) in the resulting dialog. A command like the following is generated:

   ODBC CONNECT TO [CData API Sys];
   

4. Enter the SQL query directly into the script with the SQL command (or click Select to build the query in the SELECT statement wizard).

   SQL SELECT ,  FROM Albums WHERE Id = '4aawyAB9vmqN3uQ7FjRGTy';
   

   Where possible, the SQL operations in the query, like filters and aggregations, will be pushed down to Spotify, while any unsupported operations (which can include SQL functions and JOIN operations) will be managed client-side by the CData SQL engine embedded in the driver.

   
5. Close the script editor and reload the document to execute the script.
6. Click Tools -> Quick Chart Wizard. In the wizard, select the chart type. This example uses a bar chart. When building the chart, you have access to the fields from Spotify, typed appropriately for QlikView, thanks to built-in dynamic metadata querying.
7. When defining Dimensions, select in the First Dimension menu.
8. When defining Expressions, click the summary function you want and select in the menu.

9. Finish the wizard to generate the chart. The CData ODBC Driver for Spotify connects to live Spotify data, so the chart can be refreshed to see real-time changes. Live connections are possible and effective, thanks to the high-performance data processing native to CData ODBC Drivers.