Build Bitbucket-Connected Apps in Bubble
Bubble is a no-code platform that simplifies the process of developing and launching apps and businesses. When coupled with CData Connect AI, you gain effortless no-code access to Bitbucket data for streamlined app development. This article guides you through the integration process from Bubble to Bitbucket using CData Connect AI.
CData Connect AI provides a pure cloud-to-cloud OData interface for Bitbucket data that allows you to integrate from Bubble to Bitbucket data in real time.
Connect to Bitbucket from Bubble
To work with Bitbucket data from Bubble, we need to connect to Bitbucket from Connect AI, provide user access to the connection, and create a Workspace for the Bitbucket data.
Connect to Bitbucket from Connect AI
CData Connect AI uses a straightforward, point-and-click interface to connect to data sources.
- Log into Connect AI, click Sources, and then click Add Connection
- Select "Bitbucket" from the Add Connection panel
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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 & Test
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Navigate to the Permissions tab in the Add Bitbucket Connection page and update the User-based permissions.
Add a Personal Access Token
When connecting to Connect AI through the REST API, the OData API, or the Virtual SQL Server, a Personal Access Token (PAT) is used to authenticate the connection to Connect AI. It is best practice to create a separate PAT for each service to maintain granularity of access.
- Click on the Gear icon () at the top right of the Connect AI app to open the settings page.
- On the Settings page, go to the Access Tokens section and click Create PAT.
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Give the PAT a name and click Create.
- The personal access token is only visible at creation, so be sure to copy it and store it securely for future use.
Configure Bitbucket Endpoints for Bubble
After connecting to Bitbucket, create a workspace for your desired table(s).
- Navigate to the Workspaces page and click Add to create a new Workspace (or select an existing workspace).

- Click Add to add new assets to the Workspace.
- Select the Bitbucket connection (e.g. Bitbucket1) and click Next.

- Select the table(s) you wish to work with and click Confirm.

- Make note of the OData Service URL for your workspace, e.g. https://cloud.cdata.com/api/odata/{workspace_name}
With the connection, PAT, and Workspace configured, you are ready to connect to Bitbucket data from Bubble.
Build a Bitbucket-Connected App
With OData endpoints added to Connect AI, you can build an app in Bubble with live access to Bitbucket data.
Configure the Bubble API Connector
To start, Configure the API Connector for accessing CData Connect AI from Bubble.
- In your app, click the Plugins tab and click Add plugins
- Search for "API Connector" and click Install
- After installation, click the "Add another API" button and configure the API:
- Name the API
- Set Authentication to "HTTP Basic Auth"
- Set Username to a Connect AI user (e.g. [email protected])
- Set Password to the PAT for the user
- Expand the API Call, select the "GET" command and set the URL to a Workspace endpoint you previously configured (e.g. https://cloud.cdata.com/api/odata/{workspace_name}/Issues)
- Click the "Initialize call" button to adjust data types in the response (as needed)
- After making any necessary changes, click "Save"
Configure the App UI
With the API Connector configure, you are ready to retrieve Bitbucket data in your Bubble app. In this article, we request the data with a UI component that can display an Excel-like table.
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On the Plugin tab, install the "Excel-like HandsonTable"
- On the Design tab, add an "Excel Table" to the workspace
- In the Excel Table, in Data source, select "Get data from an external API"
- Set Type of content to "API Call value"
- Set Data source to "CData Connect AI - API Call's value" (or equivalent)
- Click "Preview" to ensure the data was retrieved from Bitbucket.
At this point, you can develop applications with live access to Bitbucket data without needing to know the complexities of the back-end API.
Live Access to Bitbucket Data from Cloud Applications
Now you have a direct connection to live Bitbucket data from Bubble. You can create more Bitbucket-connected apps — all without writing any code or replicating Bitbucket data.
To get live data access to hundreds of SaaS, Big Data, and NoSQL sources directly from your cloud applications, see the CData Connect AI.