Connect to Pinterest Data in HULFT Integrate

Ready to get started?

Download for a free trial:

Download Now

Learn more:

Pinterest JDBC Driver

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



Connect to Pinterest as a JDBC data source in HULFT Integrate

HULFT Integrate is a modern data integration platform that provides a drag-and-drop user interface to create cooperation flows, data conversion, and processing so that complex data connections are easier than ever to execute. When paired with the CData JDBC Driver for Pinterest, HULFT Integrate can work with live Pinterest data. This article walks through connecting to Pinterest and moving the data into a CSV file.

With built-in optimized data processing, the CData JDBC Driver offers unmatched performance for interacting with live Pinterest data. When you issue complex SQL queries to Pinterest, the driver pushes supported SQL operations, like filters and aggregations, directly to Pinterest and utilizes the embedded SQL engine to process unsupported operations client-side (often SQL functions and JOIN operations). Its built-in dynamic metadata querying allows you to work with and analyze Pinterest data using native data types.

Enable Access to Pinterest

To enable access to Pinterest data from HULFT Integrate projects:

  1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.pinterest.jar (and cdata.jdbc.pinterest.lic), to the jdbc_adapter subfolder for the Integrate Server
  2. Restart the HULFT Integrate Server and launch HULFT Integrate Studio

Build a Project with Access to Pinterest Data

Once you copy the JAR files, you can create a project with access to Pinterest data. Start by opening Integrate Studio and creating a new project.

  1. Name the project
  2. Ensure the "Create script" checkbox is checked
  3. Click Next
  4. Name the script (e.g.: PinteresttoCSV)

Once you create the project, add components to the script to copy Pinterest data to a CSV file.

Configure an Execute Select SQL Component

Drag an "Execute Select SQL" component from the Tool Palette (Database -> JDBC) into the Script workspace.

  1. In the "Required settings" tab for the Destination, click "Add" to create a new connection for Pinterest. Set the following properties:
    • Name: Pinterest Connection Settings
    • Driver class name: cdata.jdbc.pinterest.PinterestDriver
    • URL: jdbc:pinterest:OAuthClientId=YourClientId;OAuthClientSecret=YourClientSecret;CallbackURL='https://localhost:33333'InitiateOAuth=GETANDREFRESH

      Built-in Connection String Designer

      For assistance 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.

      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.

  2. Write your SQL statement. For example:
    SELECT Id, Username FROM Users
  3. Click "Extraction test" to ensure the connection and query are configured properly
  4. Click "Execute SQL statement and set output schema"
  5. Click "Finish"

Configure a Write CSV File Component

Drag a "Write CSV File" component from the Tool Palette (File -> CSV) onto the workspace.

  1. Set a file to write the query results to (e.g. Users.csv)
  2. Set "Input data" to the "Select SQL" component
  3. Add columns for each field selected in the SQL query
  4. In the "Write settings" tab, check the checkbox to "Insert column names into first row"
  5. Click "Finish"

Map Pinterest Fields to the CSV Columns

Map each column from the "Select" component to the corresponding column for the "CSV" component.

Finish the Script

Drag the "Start" component onto the "Select" component and the "CSV" component onto the "End" component. Build the script and run the script to move Pinterest data into a CSV file.

Download a free, 30-day trial of the CData JDBC Driver for Pinterest and start working with your live Pinterest data in HULFT Integrate. Reach out to our Support Team if you have any questions.