Google Postmaster Tools
Use Postmaster Tools to analyze your email performance, and help Gmail route your messages to the right place
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.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular Ways to Connect Google Postmaster Tools with Python#
Popular Google Postmaster Tools and Python Triggers#
Emits a new event when traffic stats match certain criteria. See the documentation
Popular Google Postmaster Tools and Python Actions#
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
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#
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#
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