Access Pinterest Data in Mule Applications Using the CData JDBC Driver

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Pinterest JDBC Driver

Rapidly create and deploy powerful Java applications that integrate with Pinterest.



Create a simple Mule Application that uses HTTP and SQL with the CData JDBC Driver for Pinterest to create a JSON endpoint for Pinterest data.

The CData JDBC Driver for Pinterest connects Pinterest data to Mule applications enabling read functionality with familiar SQL queries. The JDBC Driver allows users to easily create Mule applications to backup, transform, report, and analyze Pinterest data.

This article demonstrates how to use the CData JDBC Driver for Pinterest inside of a Mule project to create a Web interface for Pinterest data. The application created allows you to request Pinterest data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData JDBC Driver to create a Web interface for the 200+ available data sources.

  1. Create a new Mule Project in Anypoint Studio.
  2. Add an HTTP Connector to the Message Flow.
  3. Configure the address for the HTTP Connector.
  4. Add a Database Select Connector to the same flow, after the HTTP Connector.
  5. Create a new Connection (or edit an existing one) and configure the properties.
    • Set Connection to "Generic Connection"
    • Select the CData JDBC Driver JAR file in the Required Libraries section (e.g. cdata.jdbc.pinterest.jar).
    • Set the URL to the connection string for Pinterest

      Pinterest authentication is based on the standard OAuth flow. To authenticate, you must initially create an app via the Pinterest developer platform where you can obtain an OAuthClientId, OAuthClientSecret, and CallbackURL.

      Set InitiateOAuth to GETANDREFRESH and set OAuthClientId, OAuthClientSecret, and CallbackURL based on the property values for the app you created.

      See the Help documentation for other OAuth authentication flows.

      Built-in Connection String Designer

      For assistance in constructing the JDBC URL, use the connection string designer built into the Pinterest JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.

      java -jar cdata.jdbc.pinterest.jar

      Fill in the connection properties and copy the connection string to the clipboard.

    • Set the Driver class name to cdata.jdbc.pinterest.PinterestDriver.
    • Click Test Connection.
  6. Set the SQL Query Text to a SQL query to request Pinterest data. For example: SELECT Id, Username FROM Users WHERE FirstName = 'Jane'
  7. Add a Transform Message Component to the flow.
  8. Set the Output script to the following to convert the payload to JSON:
    %dw 2.0
    output application/json
    ---
    payload
            
  9. To view your Pinterest data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default): http://localhost:8081. The Pinterest data is available as JSON in your Web browser and any other tools capable of consuming JSON endpoints.

At this point, you have a simple Web interface for working with Pinterest data (as JSON data) in custom apps and a wide variety of BI, reporting, and ETL tools. Download a free, 30 day trial of the JDBC Driver for Pinterest and see the CData difference in your Mule Applications today.