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Get the Report →Connect to LinkedIn Ads Data in RazorSQL
Connect to LinkedIn Ads from wizards and query LinkedIn Ads data from the GUI in the RazorSQL database management tool.
The CData JDBC Driver for LinkedIn Ads enables standards-based access from third-party tools, from wizards in IDEs to data management and analysis tools. This article shows how to connect to LinkedIn Ads using wizards in RazorSQL.
Create a JDBC Data Source for LinkedIn Ads Data
- Open the RazorSQL application and, in the Connections menu, select Add Connection Profile -> Other -> JDBC.
- In the Connection Wizard that appears, set the following properties:
- Driver Location: Set this property to the path to the lib subfolder in the installation directory.
- Driver Class: Set the driver class to cdata.jdbc.linkedinads.LinkedInAdsDriver.
- Username: Enter the username. (This property can also be set in the JDBC URL.)
- Password: Enter the password. (This property can also be set in the JDBC URL.)
JDBC URL: Enter connection parameters. The JDBC URL begins with jdbc:linkedinads: and is followed by a semicolon-separated list of connection properties.
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.
A typical JDBC URL is the following:
jdbc:linkedinads:OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:portNumber;InitiateOAuth=GETANDREFRESH
Query LinkedIn Ads Data and Select Tables
After establishing a connection, the wizard will close and the connection will be available in the connections panel. You can then query the tables.