Integrate the Google Directory API with the Python API

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

Popular Google Directory and Python Actions#

Create Group with the Google Directory API

Creates a new group. 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 User with the Google Directory API

Creates a new user. See the documentation

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Get Group with the Google Directory API

Retrieves information about a group. See the documentation

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Get User with the Google Directory API

Retrieves information about a user. See the documentation

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Overview of Google Directory#

The Google Directory API enables you to perform administrative operations on users, groups, organizational units, and devices within a Google Workspace domain. With Pipedream, you can harness this API to create automated workflows that manage directory resources, sync information, and streamline admin tasks. Pipedream's serverless platform allows you to trigger these workflows on schedules or events, integrating seamlessly with other apps to enrich and act upon the data.

Connect Google Directory#

import { axios } from "@pipedream/platform";

export default defineComponent({
  props: {
    google_directory: {
      type: "app",
      app: "google_directory",
    }
  },
  async run({steps, $}) {
    return axios($, {
      url: "https://admin.googleapis.com/admin/directory/v1/users",
      headers: {
        Authorization: `Bearer ${this.google_directory.$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}}