Integrate the Mailbox Power API with the Go API

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

Popular Mailbox Power and Go Actions#

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.

Overview of Mailbox Power#

The Mailbox Power API enables personalized direct mail campaigns by automating the sending of physical mail, gifts, and greeting cards. This can be orchestrated directly from Pipedream's platform, leveraging the ease of serverless workflows. With this API, one can create targeted, personalized mail pieces on the fly, manage contacts, and track sent items, all programmatically. The integration potential on Pipedream also allows for syncing Mailbox Power with CRM systems, triggering mail sends based on customer actions or dates, and analyzing the impact of direct mail campaigns in conjunction with digital marketing tools.

Connect Mailbox Power#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    mailbox_power: {
      type: "app",
      app: "mailbox_power",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.rocketnotes.com/api/clienttether/contacts/groups`,
      headers: {
        "APIKEY": `${this.mailbox_power.$auth.api_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#

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)
}