Integrate the Mailcheck API with the Python API

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

Popular Mailcheck and Python Actions#

Create Batch Operation with the Mailcheck API

Create a batch check operation. 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 Batch Operation Status with the Mailcheck API

Get batch check operation status. See the documentation

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Process Single Email with the Mailcheck API

Process a single email synchronously. See the documentation

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Overview of Mailcheck#

The Mailcheck API provides verification services for email addresses, ensuring they are valid and deliverable. Integrating this API with Pipedream opens up opportunities for automating email validation processes, enriching user data, and maintaining the hygiene of email lists in real-time. By weaving Mailcheck into serverless workflows on Pipedream, you can trigger actions based on email verification results, such as updating databases, initiating marketing campaigns, or even blocking fake signups.

Connect Mailcheck#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mailcheck: {
      type: "app",
      app: "mailcheck",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.mailcheck.co/v1/emails/operations`,
      headers: {
        Authorization: `Bearer ${this.mailcheck.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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}}