Integrate the Confluence API with the Python API

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

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Popular Ways to Connect Confluence with Python#

Run Python Code with Python API on New Page or Blog Post from Confluence API

Confluence + Python

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Run Python Code with Python API on Watch Blog Posts from Confluence API

Confluence + Python

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Run Python Code with Python API on Watch Pages from Confluence API

Confluence + Python

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Popular Confluence and Python Triggers#

New Page or Blog Post from the Confluence API

Emit new event whenever a new page or blog post is created in a specified space

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Watch Blog Posts from the Confluence API

Emit new event when a blog post is created or updated

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Watch Pages from the Confluence API

Emit new event when a page is created or updated in Confluence

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Popular Confluence and Python Actions#

Create Post with the Confluence API

Creates a new page or blog post on Confluence. See the documentation

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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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Delete Post with the Confluence API

Removes a blog post from Confluence by its ID. Use with caution, the action is irreversible. See the documentation

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Update a Post with the Confluence API

Updates a page or blog post on Confluence by its ID. See the documentation

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Overview of Confluence#

The Confluence API allows you to harness the collaborative power of Confluence programmatically. With it, you can automate content creation, update pages, manage spaces, and extract data for reporting or integration with other tools. Leveraging this API within Pipedream enables streamlined workflows that can react to events or schedule tasks, interacting with Confluence data and connecting to an array of other apps and services.

Connect Confluence#

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

Overview of Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

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}}

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