Integrate the Message Bird API with the Go API

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

Popular Message Bird 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.

Try it

Overview of Message Bird#

Message Bird is a communications platform offering a suite of API solutions for sending messages, making voice calls, and conducting video conferences. With Pipedream, you can harness these capabilities to automate personalized notifications, streamline customer support, and facilitate global communication workflows. Message Bird's API on Pipedream allows you to send real-time alerts, trigger voice messages based on customer actions, and integrate with other services to create powerful, multi-channel communication systems.

Connect Message Bird#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    message_bird: {
      type: "app",
      app: "message_bird",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://rest.messagebird.com/balance`,
      headers: {
        "Authorization": `AccessKey ${this.message_bird.$auth.access_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)
}