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Access MailChimp Data in Anypoint Using SQL

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

The CData Mule Connector for MailChimp connects MailChimp 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 MailChimp data.

This article demonstrates how to use the CData Mule Connector for MailChimp inside of a Mule project to create a Web interface for MailChimp data. The application created allows you to request MailChimp 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 170+ 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 MailChimp 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 MailChimp (see below). Once the connection is configured, click Test Connection to ensure the connectivity to MailChimp.

    You can set the APIKey to the key you generate in your account settings, or, instead of providing your APIKey, you can use the OAuth standard to authenticate the application. OAuth can be used to enable other users to access their own data. To authenticate using OAuth, you will need to obtain the OAuthClientId, OAuthClientSecret, and CallbackURL by registering an app with MailChimp.

    See the "Getting Started" chapter in the help documentation for a guide to using OAuth.

  6. Configure the CData MailChimp 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 MailChimp 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=Lists
    The Lists 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 MailChimp 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 MailChimp and see the CData difference in your Mule Applications today.