SMS Magic

SMS-Magic is a global text messaging platform for popular CRM platforms with 2,000+ clients of all sizes accessing 59 direct carriers to win & retain customers.

Integrate the SMS Magic API with the Go API

Setup the SMS Magic API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate SMS Magic 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 SMS Magic

The SMS Magic API on Pipedream opens a world of possiblities for automating communication workflows. With it, you can send personalized text messages, schedule campaigns, and track message delivery within your applications. It's especially powerful for sales and support teams who need to engage customers on a massive scale without sacrificing the personal touch.

Connect SMS Magic

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sms_magic: {
      type: "app",
      app: "sms_magic",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.sms-magic.com/v1/api_key/validate`,
      headers: {
        "Content-Type": `application/json`,
        "apiKey": `${this.sms_magic.$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

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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)
}