UptimeRobot

The world's leading uptime monitoring service.

Integrate the UptimeRobot API with the Go API

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

The UptimeRobot API allows you to monitor the uptime of websites and services, sending alerts for any downtime detected. With Pipedream, you can harness this API to create tailored notifications, generate uptime reports, and synchronize with incident management tools. By leveraging Pipedream's capabilities, you can integrate UptimeRobot with a myriad of services to automate responses to uptime changes, streamline communication processes, and maintain a pulse on your web infrastructure's health.

Connect UptimeRobot

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    uptimerobot: {
      type: "app",
      app: "uptimerobot",
    }
  },
  async run({steps, $}) {
    const data = {
      "api_key": `${this.uptimerobot.$auth.api_key}`,
    }
    return await axios($, {
      method: "post",
      url: `https://api.uptimerobot.com/v2/getAccountDetails`,
      data,
    })
  },
})

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)
}