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Access Salesforce Pardot Data in Anypoint Using SQL

Create a simple Mule Application that uses HTTP and SQL with the CData Mule Connector for Salesforce Pardot to create a JSON endpoint for Salesforce Pardot data.

The CData Mule Connector for Salesforce Pardot connects Salesforce Pardot data to Mule applications enabling read , write, update, and delete functionality with familiar SQL queries. The Connector allows users to easily create Mule Applications to backup, transform, report, and analyze Salesforce Pardot data.

This article demonstrates how to use the CData Mule Connector for Salesforce Pardot inside of a Mule project to create a Web interface for Salesforce Pardot data. The application created allows you to request Salesforce Pardot data using an HTTP request and have the results returned as JSON. The exact same procedure outlined below can be used with any CData Mule Connector 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 CData Salesforce Pardot Connector to the same flow, after the HTTP Connector.
  5. Create a new Connection (or edit an existing one) and configure the properties to connect to Salesforce Pardot (see below). Once the connection is configured, click Test Connection to ensure the connectivity to Salesforce Pardot.

    Salesforce Pardot supports connecting through API Version, Username, Password and User Key.

    • ApiVersion: The Salesforce Pardot API version which the provided account can access. Defaults to 4.
    • User: The Username of the Salesforce Pardot account.
    • Password: The Password of the Salesforce Pardot account.
    • UserKey: The unique User Key for the Salesforce Pardot account. This key does not expire.
    • IsDemoAccount (optional): Set to TRUE to connect to a demo account.

    Accessing the Pardot User Key

    The User Key of the current account may be accessed by going to Settings -> My Profile, under the API User Key row.

  6. Configure the CData Salesforce Pardot Connector.
    1. Set the Operation to 'Select with Streaming'.
    2. Set the Query type to Dynamic.
    3. Set the SQL query to SELECT * FROM #[message.inboundProperties.'http.query.params'.get('table')] to parse the URL parameter table and use it as the target of the SELECT query. You can customize the query further by referencing other potential URL parameters.
  7. Add a Transform Message Component to the flow.
    1. Map the Payload from the input to the Map in the output.
    2. Set the Output script to the following to convert the payload to JSON:
      %dw 1.0
      %output application/json
      ---
      payload
              
  8. To view your Salesforce Pardot data, navigate to the address you configured for the HTTP Connector (localhost:8081 by default) and pass a table name as the table URL parameter: http://localhost:8081?table=Prospects
    The Prospects 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 Salesforce Pardot 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 Mule Connector for Salesforce Pardot and see the CData difference in your Mule Applications today.