WhoisFreaks

Best Source For Domain WHOIS Database and API.

Integrate the WhoisFreaks API with the Python API

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

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 WhoisFreaks

The WhoisFreaks API offers a way to dig into the riches of domain registration data. With this API, you can retrieve extensive WHOIS records, including registrar details, domain status, creation and expiration dates, and registrant information, among other data. When integrated with Pipedream's serverless platform, you unlock the potential to automate domain research, track domain registrations, monitor changes, and connect insights with other apps for a multitude of purposes.

Connect WhoisFreaks

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    whoisfreaks: {
      type: "app",
      app: "whoisfreaks",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.whoisfreaks.com/v1.0/whois`,
      params: {
        apiKey: `${this.whoisfreaks.$auth.api_key}`,
        domainName: `google.com`,
        whois: `live`,
      },
    })
  },
})

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

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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}}