Connect to Airtable Data 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 Airtable, HULFT Integrate can work with live Airtable data. This article walks through connecting to Airtable 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 Airtable data. When you issue complex SQL queries to Airtable, the driver pushes supported SQL operations, like filters and aggregations, directly to Airtable 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 Airtable data using native data types.

Enable Access to Airtable

To enable access to Airtable data from HULFT Integrate projects:

1. Copy the CData JDBC Driver JAR file (and license file if it exists), cdata.jdbc.airtable.jar (and cdata.jdbc.airtable.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 Airtable Data

Once you copy the JAR files, you can create a project with access to Airtable 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.: AirtabletoCSV)

Once you create the project, add components to the script to copy Airtable 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 Airtable. Set the following properties:
   • Name: Airtable Connection Settings
   • Driver class name: cdata.jdbc.airtable.AirtableDriver
   • URL: jdbc:airtable:APIKey=keymz3adb53RqsU;BaseId=appxxN2fe34r3rjdG7;TableNames=Table1,...;ViewNames=Table1.View1,...;
     
     

     Built-in Connection String Designer

     For assistance constructing the JDBC URL, use the connection string designer built into the Airtable JDBC Driver. Either double-click the JAR file or execute the JAR file from the command-line.

     java -jar cdata.jdbc.airtable.jar

     Fill in the connection properties and copy the connection string to the clipboard.

     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.
2. Write your SQL statement. For example:

   SELECT Id, Column1 FROM SampleTable_1

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. SampleTable_1.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 Airtable 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 Airtable data into a CSV file.

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