Integrate the Microsoft 365 Planner API with the Python API

Setup the Microsoft 365 Planner API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate Microsoft 365 Planner and Python remarkably fast. Free for developers.

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Popular Ways to Connect Microsoft 365 Planner with Python#

Run Python Code with Python API on New Plan Created from Microsoft 365 Planner API

Microsoft 365 Planner + Python

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Run Python Code with Python API on New Task Created from Microsoft 365 Planner API

Microsoft 365 Planner + Python

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Popular Microsoft 365 Planner and Python Triggers#

New Plan Created from the Microsoft 365 Planner API

Emit new event when a new Plan is created in Microsoft 365 Planner

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New Task Created from the Microsoft 365 Planner API

Emit new event when a new Task is created in Microsoft 365 Planner

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Popular Microsoft 365 Planner and Python Actions#

Create Bucket with the Microsoft 365 Planner API

Create a new bucket in Microsoft 365 Planner. 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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Create Plan with the Microsoft 365 Planner API

Create a new plan in Microsoft 365 Planner. See the documentation

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Create Task with the Microsoft 365 Planner API

Create a new task in Microsoft 365 Planner. See the documentation

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List User Tasks with the Microsoft 365 Planner API

List all user tasks in Microsoft 365 Planner. See the documentation

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Overview of Microsoft 365 Planner#

The Microsoft 365 Planner API lets you tap into the robust task management capabilities of Planner within the Microsoft 365 suite. With this API on Pipedream, you can automate tasks, sync Planner data with other services, manage plans, tasks, and buckets programmatically. This opens up possibilities for creating custom workflows to enhance productivity, streamline project tracking, and maintain synchronization across various platforms.

Connect Microsoft 365 Planner#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    microsoft_365_planner: {
      type: "app",
      app: "microsoft_365_planner",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://graph.microsoft.com/v1.0/me`,
      headers: {
        Authorization: `Bearer ${this.microsoft_365_planner.$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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