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Google Postmaster Tools

Use Postmaster Tools to analyze your email performance, and help Gmail route your messages to the right place

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Python

Integrate the Google Postmaster Tools API with the Python API

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

Popular Ways to Connect Google Postmaster Tools with Python

Run Python Code with Python API on New Matched Traffic Stats from Google Postmaster Tools API
Google Postmaster Tools + Python
 
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Popular Google Postmaster Tools and Python Triggers

New Matched Traffic Stats from the Google Postmaster Tools API

Emits a new event when traffic stats match certain criteria. See the documentation

 
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Popular Google Postmaster Tools and Python Actions

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 Postmaster Tools

The Google Postmaster Tools API offers insights into the performance and deliverability of emails sent to Gmail users. It provides data on spam rates, feedback loops, delivery errors, and more, allowing senders to optimize email campaigns and enhance inbox placement. In Pipedream, you can harness this data to automate monitoring, analyze sending patterns, and integrate email performance metrics with other services for comprehensive analysis and action.

Connect Google Postmaster Tools

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