Integrate the QuickEmailVerification API with the Python API

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

Popular QuickEmailVerification and Python Actions#

Verify Email Address with the QuickEmailVerification API

Verify an email address See docs here

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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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Overview of QuickEmailVerification#

The QuickEmailVerification API offers a robust solution for validating email addresses in real-time, ensuring they're formatted correctly, deliverable, and free from common issues like typos or disposable domains. By integrating this API with Pipedream, you can automate the process of cleaning your email lists, enhancing email deliverability, and maintaining the integrity of your communication channels. This seamless verification process can be a critical component to any customer outreach, marketing campaign, or user sign-up flow.

Connect QuickEmailVerification#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    quickemailverification: {
      type: "app",
      app: "quickemailverification",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.quickemailverification.com/v1/verify`,
      params: {
        email: `richard@quickemailverification.com`,
        apikey: `${this.quickemailverification.$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}}