IP2WHOIS

IP2WHOIS WHOIS lookup api helps users to obtain domain information, WHOIS record, by using a domain name. The WHOIS API returns a comprehensive WHOIS data such as creation date, updated date, expiration date, domain age, the contact information of the registrant, mailing address, phone number, email address, nameservers the domain is using and much more. IP2WHOIS supports the query for 1113 TLDs and 634 ccTLDs.

Integrate the IP2WHOIS API with the Go API

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

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 Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

 
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Overview of IP2WHOIS

With IP2WHOIS, you can build applications that:

  • Look up the whois record for an IP address
  • Get information on a domain name
  • Get reverse DNS (PTR) records for an IP address
  • Verify that an email address exists
  • Get IP addresses for a domain name
  • And more!

Connect IP2WHOIS

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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}`,
      },
    })
  },
})

Connect Go

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package main

import (
	"fmt"

	pd "github.com/PipedreamHQ/pipedream-go"
)

func main() {
	// Access previous step data using pd.Steps
	fmt.Println(pd.Steps)

	// Export data using pd.Export
	data := make(map[string]interface{})
	data["name"] = "Luke"
	pd.Export("data", data)
}