Integrate the SMS-IT API with the Go API

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

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Popular SMS-IT 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.

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Overview of SMS-IT#

The SMS-IT API provides a way to send and receive SMS messages programmatically. Using Pipedream, you can create event-driven workflows that leverage this API for a variety of use cases. You can integrate SMS capabilities into your applications, automate notifications, confirmations, or alerts, and engage with your audience through text messages. In Pipedream, you can use pre-built actions or run custom Node.js code to connect with the SMS-IT API, making it a versatile tool for developers looking to add SMS functionality to their services.

Connect SMS-IT#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    sms_it: {
      type: "app",
      app: "sms_it",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://controlpanel.smsit.ai/apis/getcreditbalance/`,
      headers: {
        "Content-Type": `application/x-www-form-urlencoded`,
      },
      params: {
        type: `1`,
        apikey: `${this.sms_it.$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)
}

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