Integrate the IP2WHOIS API with the Python API

Setup the IP2WHOIS API trigger to run a workflow which integrates with the Python API. Pipedream's integration platform allows you to integrate IP2WHOIS and Python remarkably fast. Free for developers.

Popular IP2WHOIS and Python Actions#

WHOIS lookup with the IP2WHOIS API

Helps users to obtain domain information, WHOIS record, by using a domain name. Please refer to the documentation for the details of the fields returned.

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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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Overview of IP2WHOIS#

The IP2WHOIS API is a lookup tool that can fetch WHOIS information for a given IP address or domain. This data includes registration details, contact information, and sometimes even personal or organization-related data of the domain owner. Leveraging this API on Pipedream allows you to create automated workflows that can enrich IP data, monitor domain registration changes, or integrate WHOIS information into security analysis. By tapping into Pipedream's capabilities, you can trigger actions based on this data across various apps and services.

Connect IP2WHOIS#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ip2whois: {
      type: "app",
      app: "ip2whois",
    },
    domain: {
      type: "string",
      default: "greendot.com"
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.ip2whois.com/v2?key={your_license_key}&domain={domain_name}`,
      params: {
        key: `${this.ip2whois.$auth.api_key}`,
        domain: `${this.domain}`,
      },
    })
  },
})

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}}