Integrate the Taskade API with the Python API

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

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Popular Ways to Connect Taskade with Python#

Run Python Code with Python API on New Task Created from Taskade API

Taskade + Python

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Popular Taskade and Python Triggers#

New Task Created from the Taskade API

Emit new event when a new task is created in Taskade

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Popular Taskade and Python Actions#

Create Task with the Taskade API

Creates a new task in Taskade. 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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Overview of Taskade#

Taskade is a unified workspace app designed to help teams manage tasks, write notes, and video chat within the same platform. With the Taskade API on Pipedream, you can automate workflows, synchronize tasks across various platforms, and streamline communications. This API enables you to programmatically manage tasks, projects, and their associated details, which can be integrated with hundreds of other apps available on Pipedream to create dynamic, custom workflows tailored to your team's needs.

Connect Taskade#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    taskade: {
      type: "app",
      app: "taskade",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.taskade.com/api/v1/workspaces`,
      headers: {
        Authorization: `Bearer ${this.taskade.$auth.oauth_access_token}`,
        "Accept": `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}}

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