Microsoft Teams Admin

Chat, Meetings, Calling, Collaboration

Integrate the Microsoft Teams Admin API with the Python API

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

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 Microsoft Teams Admin

The Microsoft Teams Admin API allows you to manage Teams environments programmatically. With it, you can automate tasks like creating and managing teams, channels, and policies, as well as controlling membership and settings. Leveraging Pipedream's serverless execution model, you can create workflows that react to specific triggers and perform a sequence of actions across multiple services, enhancing your organization's productivity and governance within Microsoft Teams.

Connect Microsoft Teams Admin

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

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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}}