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Access Airtable Data in Anypoint Using SQL

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

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

This article demonstrates how to use the CData Mule Connector for Airtable inside of a Mule project to create a Web interface for Airtable data. The application created allows you to request Airtable 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 190+ 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 Airtable 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 Airtable (see below). Once the connection is configured, click Test Connection to ensure the connectivity to Airtable.

    APIKey, BaseId and TableNames parameters are required to connect to Airtable. ViewNames is an optional parameter where views of the tables may be specified.

    • APIKey : API Key of your account. To obtain this value, after logging in go to Account. In API section click Generate API key.
    • BaseId : Id of your base. To obtain this value, it is in the same section as the APIKey. Click on Airtable API, or navigate to https://airtable.com/api and select a base. In the introduction section you can find "The ID of this base is appxxN2ftedc0nEG7."
    • TableNames : A comma separated list of table names for the selected base. These are the same names of tables as found in the UI.
    • ViewNames : A comma separated list of views in the format of (table.view) names. These are the same names of the views as found in the UI.
  6. Configure the CData Airtable 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 Airtable 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=SampleTable_1
    The SampleTable_1 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 Airtable 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 Airtable and see the CData difference in your Mule Applications today.