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.

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Popular ZeroBounce and Python Actions#

AI Scoring with the ZeroBounce API

Estimates a reliability score based on ZeroBounce's AI for the provided email. 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 Validation Results File with the ZeroBounce API

Downloads the validation results for a file submitted using sendfile API. See the documentation

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Validate Email with the ZeroBounce API

Validates a specific email. See the documentation

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Validate Emails in File with the ZeroBounce API

Performs email validation on all the addresses contained in a provided file. See the documentation

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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#

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#

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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