Integrate the Jira API with the Python API

Emit new event when an issue is created. Note that Jira supports only one webhook, if more sources are needed please use New Event source and select multiple events.

Try it

New Issue Deleted Event from the Jira API

Emit new event when an issue is deleted. Note that Jira supports only one webhook, if more sources are needed please use New Event source and select multiple events.

Try it

New Issue Updated Event from the Jira API

Emit new event when an issue is updated. Note that Jira supports only one webhook, if more sources are needed please use New Event source and select multiple events.

Try it

Popular Jira and Python Actions#

Add Attachment To Issue with the Jira API

Adds an attachment to an issue, See the docs

Try it

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.

Try it

Add Comment To Issue with the Jira API

Adds a new comment to an issue, See the docs

Try it

Add Multiple Attachments To Issue with the Jira API

Adds multiple attachments to an issue, See the docs

Try it

Add Watcher To Issue with the Jira API

Adds a user as a watcher of an issue by passing the account ID of the user, For example, 5b10ac8d82e05b22cc7d4ef5, If no user is specified the calling user is added. See the docs

Try it

Overview of Jira#

The Jira API opens up a world of possibilities for automating project management tasks, syncing with other tools, and enhancing data visibility. With Pipedream's integration, you can streamline issue tracking by automatically creating, updating, and searching for issues in Jira, as well as managing projects, sprints, users, and more. This integration not only saves time but also ensures real-time data flow across various platforms, keeping teams in sync and projects on track.

Connect Jira#

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