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.

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.

Overview of Microsoft Graph API#

The Microsoft Graph API is a powerful tool that allows developers to access all
sorts of data from the Microsoft ecosystem. With the Microsoft Graph API, you
can build a variety of different applications and integrations.

Here are a few examples of what you can build with the Microsoft Graph API:

A web application that allows users to login with their Microsoft account and
access their data
An integration that allows you to send emails through the Microsoft Graph API
A tool that allows you to analyze your social media activity with Microsoft
Graph API
A monitoring system that uses the Microsoft Graph API to keep track of your
Azure resources

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#

Python API on Pipedream offers developers to build or automate a variety of
tasks from their web and cloud apps. With the Python API, users are able to
create comprehensive and flexible scripts, compose and manage environment
variables, and configure resources to perform a range of functions.

By using Pipedream, you can easily:

Create automated workflows that run on a specific schedule
Compose workflows across various apps and services
React to events in cloud services or form data
Automatically create content and notifications
Construct classifications and predictions
Analyze and react to sentiment, sentiment analysis and sentiment score
Connect backends to the frontend with serverless functions
Work with files and databases
Perform web requests and fetch data
Integrate third-party APIs into your apps
Orchestrate data processing tasks and pipelines
Create powerful application APIs with authentication and authorization
Design CI/CD pipelines and Continuous Delivery services
Connect databases like MongoDB and MySQL
Monitor connections and events
Generate alerts and notifications for corresponding events

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}}