IFTTT

Every thing works better together

Integrate the IFTTT API with the Go API

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

Trigger Event with JSON with the IFTTT API

Trigger Event with an arbitrary JSON payload. See docs

 
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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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Trigger Event with Values with the IFTTT API

Trigger Event with 3 JSON values. See docs

 
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Overview of IFTTT

IFTTT (If This Then That) is a service that lets you create chains of conditional statements, known as applets. These applets can automate tasks across a variety of web services and APIs. By integrating IFTTT with Pipedream, you unlock the ability to handle complex logic, manage state, transform data, and interact with over 600+ supported apps in Pipedream’s ecosystem. You can trigger workflows on Pipedream with events from IFTTT and vice versa, creating a seamless automation experience.

Connect IFTTT

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    ifttt: {
      type: "app",
      app: "ifttt",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://connect.ifttt.com//v2/me`,
      headers: {
        "IFTTT-Service-Key": `${this.ifttt.$auth.ifttt_Service_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)
}