Integrate the Microsoft Graph API API with the Python API

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

Start for free — no credit card required

Watch a demo

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Popular Microsoft Graph API and Python Actions#

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

Overview of Microsoft Graph API#

The Microsoft Graph API taps into the rich data and insights generated by Microsoft 365 services. It enables developers to build powerful workflows integrated with email, calendars, contacts, documents, directory services, and device updates. With Graph API, you can automate user account management, extract insights from Office 365 usage, manage devices, and leverage AI services to mine data from the Microsoft ecosystem.

Connect Microsoft Graph API#

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

Start for free — no credit card required

Watch a demo