How to Access Live Paddle Data in Power Automate Desktop via ODBC
The CData ODBC Driver for Paddle enables you to access live Paddle data in workflow automation tools like Power Automate. This article shows how to integrate Paddle data into a simple workflow, moving Paddle data into a CSV file.
Through optimized data processing, CData ODBC Drivers offer unmatched performance for interacting with live Paddle data in Microsoft Power Automate. When you issue complex SQL queries from Power Automate to Paddle, the driver pushes supported SQL operations, like filters and aggregations, directly to Paddle and utilizes the embedded SQL engine to process unsupported operations client-side (e.g. SQL functions and JOIN operations).
Connect to Paddle as an ODBC Data Source
If you have not already, first specify connection properties in an ODBC DSN (data source name). This is the last step of the driver installation. You can use the Microsoft ODBC Data Source Administrator to create and configure ODBC DSNs.
Using API Key Authentication
Paddle uses API key authentication. To obtain an API key:
- Sign in to your Paddle account at https://vendors.paddle.com
- Navigate to Developer Tools > Authentication
- Click "Generate API Key"
- Assign the appropriate permissions for the data you wish to access
- Copy the generated key (sandbox keys begin with pdl_sdbx_apikey_; production keys begin with pdl_live_apikey_)
After obtaining your API key, set the following connection properties:
- AuthScheme: Set this to APIKey.
- APIKey: Set this to your Paddle API key.
Example Connection String
Profile=C:\profiles\Paddle.apip;AuthScheme=APIKey;ProfileSettings="APIKey=your_api_key";
Connecting to Paddle
Once the authentication is configured, you can connect to Paddle and query data from any of the available tables such as Products, Customers, Subscriptions, and Transactions.
When you configure the DSN, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing workflows.
Integrate Paddle Data into Power Automate Workflows
After configuring the DSN for Paddle, you are ready to integrate Paddle data into your Power Automate workflows. Open Microsoft Power Automate, add a new flow, and name the flow.
In the flow editor, you can add the actions to connect to Paddle, query Paddle using SQL, and write the query results to a CSV document.
Add an Open SQL Connection Action
Add an "Open SQL connection" action (Actions -> Database) and configure the properties.
- Connection string: DSN=CData Paddle Source
After configuring the action, click Save.
Add an Execute SQL Statement Action
Add an "Execute SQL statement" action (Actions -> Database) and configure the properties.
- Get connection by: SQL connection variable
- SQL connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
- SQL statement: SELECT * FROM Products
After configuring the action, click Save.
Add a Write to CSV File Action
Add a "Write to CSV file" action (Actions -> File) and configure the properties.
- Variable to write to: %QueryResult% (the variable from the "Execute SQL statement" action above)
- File path: set to a file on disk
- Configure Advanced settings as needed.
After configuring the action, click Save.
Add a Close SQL Connection Action
Add a "Close SQL connection" action (Actions -> Database) and configure the properties.
- SQL Connection: %SQLConnection% (the variable from the "Open SQL connection" action above)
After configuring the action, click Save.
Save & Run the Flow
Once you have configured all the actions for the flow, click the disk icon to save the flow. Click the play icon to run the flow.
Now you have a workflow to move Paddle data into a CSV file.
With the CData ODBC Driver for Paddle, you get live connectivity to Paddle data within your Microsoft Power Automate workflows.
Related Power Automate Articles
This article explains how to use the CData ODBC Driver for Paddle with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):