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Get the Report →How to Use CData Connect to Access Live Bitbucket Data in Power Automate
CData Connect for Bitbucket enables you to integrate Bitbucket data into workflows built using Microsoft Power Automate Desktop.
CData Connect enables you to access live Bitbucket data in workflow automation tools like Power Automate. This article shows how to integrate Bitbucket data into a simple workflow, moving Bitbucket data into a CSV file.
CData Connect provides a pure SQL interface for Bitbucket, allowing you to easily integrate with live Bitbucket data in Power Automate — without replicating the data. Connect looks exactly like a SQL Server database to Power Automate and uses optimized data processing out of the box to push all supported SQL operations (filters, JOINs, etc) directly to Bitbucket, leveraging server-side processing to quickly return Bitbucket data.
Create a Virtual SQL Database for Bitbucket Data
CData Connect Server uses a straightforward, point-and-click interface to connect to data sources and generate APIs.
- Log into Connect Server and click Connections.
- Select "Bitbucket" from Available Data Sources.
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Enter the necessary authentication properties to connect to Bitbucket.
For most queries, you must set the Workspace. The only exception to this is the Workspaces table, which does not require this property to be set, as querying it provides a list of workspace slugs that can be used to set Workspace. To query this table, you must set Schema to 'Information' and execute the query SELECT * FROM Workspaces>.
Setting Schema to 'Information' displays general information. To connect to Bitbucket, set these parameters:
- Schema: To show general information about a workspace, such as its users, repositories, and projects, set this to Information. Otherwise, set this to the schema of the repository or project you are querying. To get a full set of available schemas, query the sys_schemas table.
- Workspace: Required if you are not querying the Workspaces table. This property is not required for querying the Workspaces table, as that query only returns a list of workspace slugs that can be used to set Workspace.
Authenticating to Bitbucket
Bitbucket supports OAuth authentication only. To enable this authentication from all OAuth flows, you must create a custom OAuth application, and set AuthScheme to OAuth.
Be sure to review the Help documentation for the required connection properties for you specific authentication needs (desktop applications, web applications, and headless machines).
Creating a custom OAuth application
From your Bitbucket account:
- Go to Settings (the gear icon) and select Workspace Settings.
- In the Apps and Features section, select OAuth Consumers.
- Click Add Consumer.
- Enter a name and description for your custom application.
- Set the callback URL:
- For desktop applications and headless machines, use http://localhost:33333 or another port number of your choice. The URI you set here becomes the CallbackURL property.
- For web applications, set the callback URL to a trusted redirect URL. This URL is the web location the user returns to with the token that verifies that your application has been granted access.
- If you plan to use client credentials to authenticate, you must select This is a private consumer. In the driver, you must set AuthScheme to client.
- Select which permissions to give your OAuth application. These determine what data you can read and write with it.
- To save the new custom application, click Save.
- After the application has been saved, you can select it to view its settings. The application's Key and Secret are displayed. Record these for future use. You will use the Key to set the OAuthClientId and the Secret to set the OAuthClientSecret.
- Click Save Changes
- Click Privileges -> Add and add the new user (or an existing user) with the appropriate permissions.
How to Integrate Bitbucket Data into Power Automate Workflows
After configuring CData Connect with Bitbucket, you are ready to integrate Bitbucket 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 Bitbucket, query Bitbucket 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 click the option to build the Connection string. In the Data Link Properties wizard:
- On the Provider tab: select Microsoft OLE DB Driver for SQL Server
- On the Connection tab:
- Select or enter a server name: set to the address and port of the SQL (TDS) endpoint of CData Connect, separated by a comma (e.g. localhost,8033)
- Enter information to log onto the server: select "Use a specific username and password" and use CData Connect credentials
- Select the database: use the database configured above (e.g. Bitbucket1)
- Click "Test Connection" to ensure the connection is configured properly
- Click "OK"
After building the connection string in the Data Link Properties wizard, save the action.

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 Issues
After configuring the properties, save the action.

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 properties, save the action.

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 properties, save the action.

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 Bitbucket data into a CSV file.

With CData Connect, you get live connectivity to Bitbucket data within your Microsoft Power Automate workflows.
Related Power Automate Articles
This article walks through using CData Connect Server with Power Automate Desktop. Check out our other articles for more ways to work with Power Automate (Desktop & Online):