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Rapidly create and deploy powerful Java applications that integrate with LinkedIn Ads.

Access LinkedIn Ads Data in Mule Applications Using the CData JDBC Driver



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

The CData JDBC Driver for LinkedIn Ads connects LinkedIn Ads 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 LinkedIn Ads data.

This article demonstrates how to use the CData JDBC Driver for LinkedIn Ads inside of a Mule project to create a Web interface for LinkedIn Ads data. The application created allows you to request LinkedIn Ads 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.linkedinads.jar).
    • Set the URL to the connection string for LinkedIn Ads

      LinkedIn Ads uses the OAuth authentication standard. OAuth requires the authenticating user to interact with LinkedIn using the browser. See the OAuth section in the Help documentation for a guide.

      Built-in Connection String Designer

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

      java -jar cdata.jdbc.linkedinads.jar

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

    • Set the Driver class name to cdata.jdbc.linkedinads.LinkedInAdsDriver.
    • Click Test Connection.
  6. Set the SQL Query Text to a SQL query to request LinkedIn Ads data. For example: SELECT VisibilityCode, Comment FROM Analytics WHERE EntityId = '238'
  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 LinkedIn Ads data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default): http://localhost:8081. The LinkedIn Ads 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 LinkedIn Ads 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 LinkedIn Ads and see the CData difference in your Mule Applications today.