Integrate the MailboxValidator API with the Python API

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

Popular MailboxValidator and Python Actions#

Validate Email with the MailboxValidator API

Validate an email address See docs here

Try it

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 MailboxValidator#

MailboxValidator is a precision tool for email verification that checks email lists for bad or invalid addresses. It helps maintain hygiene in your mailing list by ensuring that emails are deliverable, reducing bounce rates significantly. By integrating MailboxValidator with Pipedream, you can automate the cleanse of email lists, validate emails in real-time during sign-up processes, and improve the reliability of email marketing campaigns. Pipedream's platform provides the flexibility to trigger workflows with events, schedule tasks, and connect to numerous other services to enrich data or take actions based on the results of an email validation.

Connect MailboxValidator#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mailboxvalidator: {
      type: "app",
      app: "mailboxvalidator",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.mailboxvalidator.com/v1/validation/single`,
      params: {
        key: `${this.mailboxvalidator.$auth.api_key}`,
        format: `json`,
        email: `{enter_email_to_validate_here}`,
      },
    })
  },
})

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}}