What do you want to automate
with IP2WHOIS and Go?
Prompt, edit and deploy AI agents that connect to IP2WHOIS, Go and 2,500+ other apps in seconds.
Trusted by 1,000,000+ developers from startups to Fortune 500 companies
Popular IP2WHOIS and Go Actions#
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.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
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 Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
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)
}Trusted by 1,000,000+ developers from startups to Fortune 500 companies