Integrate the Google Meet API with the Python API

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

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Popular Google Meet and Python Actions#

Schedule Meeting with the Google Meet API

Creates a new event in Google Calendar with a Google Meet link. 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 Google Meet#

The Google Meet API allows developers to automate aspects of the video conferencing service, like creating and managing meetings. With Pipedream, these capabilities can be leveraged to build custom workflows, integrating Google Meet with other services to streamline scheduling, notification, and management processes. For instance, you can automate the creation of meetings in response to calendar events, sync meeting details with a CRM, or initiate follow-up actions once a meeting concludes.

Connect Google Meet#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_meet: {
      type: "app",
      app: "google_meet",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_meet.$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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