Integrate the Google Directory API with the Data Stores API

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

Popular Google Directory and Data Stores Actions#

Create Group with the Google Directory API

Creates a new group. See the documentation

Try it

Add or update a single record with the Data Stores API

Add or update a single record in your Pipedream Data Store.

Try it

Create User with the Google Directory API

Creates a new user. See the documentation

Try it

Add or update multiple records with the Data Stores API

Add or update multiple records to your Pipedream Data Store.

Try it

Get Group with the Google Directory API

Retrieves information about a group. See the documentation

Try it

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 Data Stores#

Data Stores are a key-value store that allow you to persist state and share data across workflows. You can perform CRUD operations, enabling dynamic data management within your serverless architecture. Use it to save results from API calls, user inputs, or interim data; then read, update, or enrich this data in subsequent steps or workflows. Data Stores simplify stateful logic and cross-workflow communication, making them ideal for tracking process statuses, aggregating metrics, or serving as a simple configuration store.

Connect Data Stores#

export default defineComponent({
  props: {
    myDataStore: {
      type: "data_store",
    },
  },
  async run({ steps, $ }) {
    await this.myDataStore.set("key_here","Any serializable JSON as the value")
    return await this.myDataStore.get("key_here")
  },
})