Integrate the BitBucket API with the Python API

Setup the BitBucket API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate BitBucket and Python remarkably fast. Free for developers.

Popular Ways to Connect BitBucket with Python#

Run Python Code with Python API on New Commit (Instant) from BitBucket API

BitBucket + Python

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Run Python Code with Python API on New Pull Request (Instant) from BitBucket API

BitBucket + Python

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Run Python Code with Python API on New Branch (Instant) from BitBucket API

BitBucket + Python

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Run Python Code with Python API on New Commit Comment (Instant) from BitBucket API

BitBucket + Python

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Run Python Code with Python API on New Event from any Repository from BitBucket API

BitBucket + Python

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Popular BitBucket and Python Triggers#

New Commit (Instant) from the BitBucket API

Emit new event when a new commit is pushed to a branch. See docs here

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New Pull Request (Instant) from the BitBucket API

Emit new event when a new pull request is created in a repository. See docs here

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New Branch (Instant) from the BitBucket API

Emit new event when a new branch is created. See docs here

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New Commit Comment (Instant) from the BitBucket API

Emit new event when a commit receives a comment. See docs here

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New Event from any Repository from the BitBucket API

Emit new event when an event occurs from any repository belonging to the user. See docs here

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Popular BitBucket and Python Actions#

Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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Create Issue Comment with the BitBucket API

Creates a new issue comment. See docs here

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Create Snippet Comment with the BitBucket API

Creates a new snippet comment. See docs here

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Creates a new issue with the BitBucket API

Creates a new issue. See docs here

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Get File From Repository with the BitBucket API

Gets the actual file contents of a download artifact and not the artifact's metadata. See docs here

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Overview of BitBucket#

With the BitBucket API, you can programmatically interact with BitBucket, via
REST calls. This allows you to build apps and integrations on top of BitBucket,
customize and automate your workflows, and much more.

Here are some examples of what you can build with the BitBucket API:

Build integrations with 3rd party applications, such as CI/CD tools, chat
applications, etc.
Create custom workflows and automate tasks
Build applications that interact with BitBucket (for example, a tool that
helps you find repositories or users)
and much more!

Connect BitBucket#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    bitbucket: {
      type: "app",
      app: "bitbucket",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.bitbucket.org/2.0/user`,
      headers: {
        Authorization: `Bearer ${this.bitbucket.$auth.oauth_access_token}`,
      },
    })
  },
})

Overview of Python#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}