easyDNS

Integrate the easyDNS API with the Go API

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

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.

 
Try it

Overview of easyDNS

The easyDNS API enables powerful interaction with your easyDNS domain services, allowing for automated domain management tasks. It supports operations like updating DNS records, managing domain registrations, and checking domain availability, all through a programmatic interface. Leveraging the easyDNS API within Pipedream, you can create automated workflows that respond to events from a multitude of services, maintain domain health, and streamline your domain operations.

Connect easyDNS

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    easydns: {
      type: "app",
      app: "easydns",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://rest.easydns.net/user`,
      headers: {
        "Accept": `application/json`,
      },
      auth: {
        username: `${this.easydns.$auth.Token}`,
        password: `${this.easydns.$auth.Key}`,
      },
    })
  },
})

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

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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)
}