Integrate the Shortcut (formerly Clubhouse.io) API with the Python API

Setup the Shortcut (formerly Clubhouse.io) API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Shortcut (formerly Clubhouse.io) and Python remarkably fast. Free for developers.

Popular Shortcut (formerly Clubhouse.io) and Python Actions#

Create Story with the Shortcut (formerly Clubhouse.io) API

Creates a new story in your Shortcut account. See Create Story in Shortcut Rest API, V3 reference for endpoint 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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Search Stories with the Shortcut (formerly Clubhouse.io) API

Searches for stories in your Shortcut account.

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Overview of Shortcut (formerly Clubhouse.io)#

The Shortcut (formerly Clubhouse.io) API empowers teams to automate project management tasks, streamline workflows, and integrate with other tools seamlessly. Using the API through Pipedream, you can trigger actions based on project updates, synchronize data across platforms, and manipulate Shortcut resources like stories, epics, and sprints programmatically. This ability to interact with Shortcut entities opens up a plethora of automation possibilities, optimizing the development cycle and communication pathways.

Connect Shortcut (formerly Clubhouse.io)#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    shortcut: {
      type: "app",
      app: "shortcut",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.clubhouse.io/api/v3/member`,
      headers: {
        Authorization: `Bearer ${this.shortcut.$auth.api_key}`,
        "Clubhouse-Token": `${this.shortcut.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}