Integrate the MessageBird API with the Go API

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

Popular MessageBird 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 MessageBird #

The MessageBird API on Pipedream allows you to automate communications by sending messages, making voice calls, and verifying phone numbers. With Pipedream's serverless platform, you can trigger workflows that integrate MessageBird with hundreds of other apps to engage customers, streamline notifications, and improve verification processes. Create custom alert systems, chatbots, or multi-factor authentication (MFA) mechanisms by leveraging the API's capabilities within Pipedream's seamless integration environment.

Connect MessageBird #

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