Integrate the Clearout API with the Python API

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

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Popular Clearout and Python Actions#

Get Domain MX with the Clearout API

Get a domain MX. 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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Verify Email with the Clearout API

Verify an email. See the documentation

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Overview of Clearout#

The Clearout API enables real-time email verification and cleaning to boost the deliverability of your emails. Integrated within Pipedream, it offers a serverless workflow for automating email list maintenance, validation processes, and enhances email marketing efficiency. With it, you can programmatically verify individual addresses or bulk lists, identify disposable emails, and detect invalid domains, creating a reliable foundation for your communication strategies.

Connect Clearout#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    clearout: {
      type: "app",
      app: "clearout",
    }
  },
  async run({steps, $}) {
    const data = {
      "domain": `pipedream.com`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.clearout.io/v2/domain/resolve/whois`,
      headers: {
        Authorization: `Bearer ${this.clearout.$auth.api_token}`,
        "Content-Type": `application/json`,
      },
      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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