Integrate the Google Tag Manager API with the Python API

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

Popular Google Tag Manager and Python Actions#

Create Tag with the Google Tag Manager API

Create a tag in a workspace. 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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Get Tag with the Google Tag Manager API

Get a specific tag of a workspace. See the documentation

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Get Tags with the Google Tag Manager API

Get all tags of an workspace. See the documentation

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Update Tag with the Google Tag Manager API

Update a tag in a workspace. See the documentation

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Overview of Google Tag Manager#

The Google Tag Manager API allows you to manage your tags, triggers, variables, and related configurations programmatically. Through Pipedream, you can integrate these API capabilities into serverless workflows to automate complex tagging tasks, sync configurations across environments, and streamline marketing or analytics operations. Pipedream's platform facilitates the creation of custom automations with Google Tag Manager, helping you deploy tags faster, manage user permissions, and control versions of your tag configurations.

Connect Google Tag Manager#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_tag_manager: {
      type: "app",
      app: "google_tag_manager",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/tagmanager/v2/accounts`,
      headers: {
        Authorization: `Bearer ${this.google_tag_manager.$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}}