STEP 1
Connect Bitbucket and Browse AI
Save credentials in WEXTL once. We store them encrypted and reuse the authorization across every workflow [3]. No coding or API skills required.
Bitbucket and Browse AI Integration
Build developer tools workflows between Bitbucket and Browse AI on a visual canvas — set up data fields sync between apps once and let data flow when events come automatically. Integration will work without code and your team will see the workflow inside WEXTL® builder.
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Learn about Bitbucket and Browse AI
Detailed info you need to know about Bitbucket and Browse AI integrations in WEXTL. Explore which modules apps support and how you connect them.
How to connect Bitbucket to Browse AI
Set up your Bitbucket and Browse AI integration in 3 simple steps [2] — no coding required. Up to 10 minutes setup.
STEP 2
Build a workflow
Paste selected Bitbucket and Browse AI nodes onto the canvas [4], or describe what you want and WEXTL wires the flow together with AI Builder.
STEP 3
Map your data
Choose which fields need to sync between Bitbucket and Browse AI. Use filters or leverage a JS custom code step in between — everything is on the canvas.
How does the integration between Bitbucket and Browse AI work in WEXTL?
WEXTL exposes actions and triggers for Bitbucket and Browse AI that help you connect apps and automate repetitive tasks [1]. A trigger is an event that happens, an action — a step that performs when the event has occurred.
Bitbucket triggersBrowse AI actions
Bitbucket modules
- Approve CommitApproves a commit.
- Approve Pull RequestApproves a pull request.
- Compare CommitsReturns a diff between two commits.
- Create BranchCreates a branch.
- Create Build StatusCreates a build status for a commit.
- Create Commit CommentCreates a comment on a commit.
- Create Commit from FilesCreates a commit by uploading files.
- Create Environment VariableCreates a variable for a deployment environment.
- Create Pipeline ScheduleCreates a pipeline schedule.
- Create ProjectCreates a project in a workspace.
- Create Pull RequestCreates a new pull request.
- Create Pull Request CommentCreates a comment on a pull request.
- Create Pull Request TaskCreates a task on a pull request.
- Create RepositoryCreates a new repository.
- Create Repository VariableCreates a pipeline variable for a repository.
- Create TagCreates a tag.
- Decline Pull RequestDeclines a pull request.
- Delete BranchDeletes a branch.
- Delete Commit CommentDeletes a commit comment.
- Delete Download ArtifactDeletes a download artifact.
- Delete Environment VariableDeletes a deployment environment variable.
- Delete Pipeline ScheduleDeletes a pipeline schedule.
- Delete ProjectDeletes a project.
- Delete Pull Request CommentDeletes a pull request comment.
- Delete Pull Request TaskDeletes a pull request task.
- Delete RepositoryDeletes a repository.
- Delete Repository VariableDeletes a repository pipeline variable.
- Delete TagDeletes a tag.
- Fork RepositoryForks a repository.
- Get BranchReturns a single branch.
- Get Build StatusReturns a build status for a commit.
- Get CommitReturns a single commit.
- Get Commit CommentReturns a single commit comment.
- Get Commit DiffstatReturns diff stats between two commits.
- Get Commit PatchReturns a patch between two commits.
- Get Current UserReturns the current user.
- Get Download ArtifactReturns the contents of a download artifact.
- Get EnvironmentReturns a single deployment environment.
- Get File or DirectoryReturns file or directory contents.
- Get Merge BaseReturns the common ancestor of two commits.
- Get PipelineReturns a single pipeline.
- Get Pipeline ConfigReturns repository pipeline configuration.
- Get Pipeline ScheduleReturns a single pipeline schedule.
- Get Pipeline StepReturns a single pipeline step.
- Get Pipeline Step LogReturns the log file for a pipeline step.
- Get ProjectReturns a single project.
- Get Pull RequestReturns a single pull request.
- Get Pull Request CommentReturns a single pull request comment.
- Get Pull Request ConflictsReturns file conflicts for a pull request.
- Get Pull Request DiffReturns the diff for a pull request.
Browse AI modules
- Create a Bulk RunStarts a bulk run of tasks.
- Create a MonitorCreates a monitor on a robot.
- Delete a MonitorDeletes a monitor.
- Get a Bulk RunReturns a single bulk run.
- Get a MonitorReturns a single monitor.
- Get a RobotReturns a single robot.
- Get a TaskReturns a single task.
- Get System StatusReturns whether the task queue is accepting work.
- List Bulk RunsRetrieves a robot's bulk runs.
- List MonitorsRetrieves a robot's monitors.
- List RobotsRetrieves the robots on the account.
- List TasksRetrieves a robot's tasks.
- List TeamsRetrieves the teams on the account.
- Make an API CallPerforms an arbitrary authorized API call.
- Run a RobotRuns a robot once.
- Update a MonitorUpdates a monitor.
- Update Robot CookiesUpdates the cookies stored on a robot.
- Watch a Table ExportTriggers when a table export finishes.
- Watch New TasksTriggers when a robot records a new task.
- Watch Task EventsTriggers when a robot task finishes or its captured data changes.
Frequently asked questions
Common questions about connecting Bitbucket and Browse AI.
Connect your Bitbucket and Browse AI accounts once, pick a trigger in one app and an action in the other, then map the fields so data flows automatically between them. [3]
Example: when Bitbucket's "Watch Commits" fires, WEXTL can "Create a Bulk Run" in Browse AI. Bitbucket has 5 triggers (including Watch Commits, Watch Pipelines, and Watch Pull Requests); Browse AI has 17 actions (including Create a Bulk Run, Create a Monitor, and Delete a Monitor). Add filters and transforms between steps when you need them. [1]
Yes — the integration works in both directions. Use each app's triggers to start a workflow and the other app's actions to update it. [2]
No. Bitbucket-to-Browse AI automations are built visually on the canvas. You can optionally add custom JavaScript with Functions when you need advanced logic. [4]
Yes. Trigger-based automations start the moment Bitbucket (or Browse AI) fires a new event — webhook-backed apps run within seconds, and polling-only apps re-check on a schedule you control. [7]
A first automation typically takes 5–10 minutes: connect each app's credential once, drop a trigger + action onto the canvas, map the fields, and turn the workflow on.
You can build your Bitbucket + Browse AI automation on a 3-day trial with every feature unlocked. Cancel anytime. For your protection, a small deposit is charged to your card when your trial starts. It counts toward your first payment and is non-refundable. [8]
References
List of sources used to gather information about the Bitbucket and Browse AI integration.
- Bitbucket and Browse AI integration source code, module specs and credentials implementation.
- Our Bitbucket and Browse AI integration documentation, structured input and output parameters, scopes, and authentication methods.
- Official vendor API documentation for Bitbucket and Browse AI — used to verify field meanings, authentication flows, and anything our own specs don't fully capture.
- WEXTL® visual workflow builder, anonymized data from our technical support team.
- Bitbucket integration information
- Browse AI integration information
- WEXTL® Scheduling
- WEXTL® Pricing and Trial
- WEXTL® Apps Library