ZeroBounce

ZeroBounce is an email validation and deliverability platform helping more than 150,000 customers reduce bounces and land their emails in the inbox.

Integrate the ZeroBounce API with the Python API

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

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.

 
Try it

Overview of ZeroBounce

The ZeroBounce API provides email verification services that help improve email deliverability by removing invalid or risky email addresses from your lists. When integrated with Pipedream, you can automate workflows to clean your mailing lists, validate subscribers in real-time, and enrich your contacts. Pipedream's serverless platform facilitates the running of code that interacts with the ZeroBounce API to execute these tasks based on various triggers and actions from other integrated services.

Connect ZeroBounce

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    zerobounce: {
      type: "app",
      app: "zerobounce",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.zerobounce.net/v2/getcredits`,
      params: {
        api_key: `${this.zerobounce.$auth.api_key}`,
      },
    })
  },
})

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}}