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with Google Postmaster Tools and Python?

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Run Python Code with Python API on New Matched Traffic Stats from Google Postmaster Tools API
Google Postmaster Tools + Python
 
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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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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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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.

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}}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo