Integrate the Mailrefine API with the Python API

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

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Popular Mailrefine and Python Actions#

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 Mailrefine#

The Mailrefine API provides a robust solution for email validation and list cleaning, allowing you to improve the deliverability and effectiveness of your email marketing campaigns. By using Pipedream, you can automate processes that involve validating bulk email lists, segregating invalid or risky email addresses, and enriching your email data with additional information. This API, when hooked into Pipedream's serverless platform, can quickly become part of a powerful automation chain that enhances data flow between your email marketing tools and other business apps.

Connect Mailrefine#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mailrefine: {
      type: "app",
      app: "mailrefine",
    }
  },
  async run({steps, $}) {
    const data = {
      "email": `your_email_here`,
    }
    return await axios($, {
      method: "post",
      url: `https://app.mailrefine.com/api/v1/single-email-verify`,
      params: {
        api_token: `${this.mailrefine.$auth.api_key}`,
      },
      data,
    })
  },
})

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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