Kakao

Kakao is a Korean service that helps daily life with people and technology

Integrate the Kakao API with the Go API

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

The Kakao API offers a variety of functionalities that tie into Kakao's diverse platform services, such as Kakao Talk, Kakao Story, and Kakao Games. With this API integrated into Pipedream, you can automate personalized messaging campaigns, sync user data across platforms, and even implement social login features for your apps. Pipedream's serverless platform allows you to connect Kakao with hundreds of other apps to create customized workflows that trigger actions across multiple services seamlessly.

Connect Kakao

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kakao: {
      type: "app",
      app: "kakao",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://kapi.kakao.com/v2/user/me`,
      headers: {
        Authorization: `Bearer ${this.kakao.$auth.oauth_access_token}`,
      },
    })
  },
})

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)
}