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DataGrip is a database IDE that allows SQL developers to query, create, and manage databases. When paired with the CData JDBC Driver for Instagram, DataGrip can work with live Instagram data. This article shows how to establish a connection to Instagram data in DataGrip and use the table editor to load Instagram data.
The steps below describe how to create a new Data Source in DataGrip for Instagram.
For assistance in constructing the JDBC URL, use the connection string designer built into the Instagram JDBC Driver. Either double-click the JAR file or execute the jar file from the command-line.
java -jar cdata.jdbc.instagram.jar
Fill in the connection properties and copy the connection string to the clipboard.
Instagram uses the OAuth 2 authentication standard. Obtain the OAuthClientId, OAuthClientSecret, and CallbackURL by registering an app with Instagram. See the help documentation for a guide.
π Using the built-in connection string designer to generate a JDBC URL (Salesforce is shown.)jdbc:instagram:OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:portNumber;InitiateOAuth=GETANDREFRESH;
At this point, you will see the data source in the Data Explorer.
To browse through the Instagram entities (available as tables) accessible through the JDBC Driver, expand the Data Source.
π Exploring the data (Salesforce is shown.)To execute queries, right click on any table and select "New" -> "Query Console."
π Opening a new Query Console.In the Console, write the SQL query you wish to execute. For example:
SELECT Link, LikesCount FROM Mediaπ Querying with SQL (Salesforce is shown.)
Download a free, 30-day trial of the CData JDBC Driver for Instagram and start working with your live Instagram data in DataGrip. Reach out to our Support Team if you have any questions.
Download a free trial of the Instagram Driver to get started:
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π Instagram IconA straightforward interface to connect any Java application with Instagram integration capabilities including Users, Relationships, Media, Tags, and more!