Google Chat (Developer App)

Google Chat is an intelligent and secure communication and collaboration tool, built for teams. Use this app to connect your own developer account credentials.

Integrate the Google Chat (Developer App) API with the Go API

Setup the Google Chat (Developer App) API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Google Chat (Developer App) 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 Google Chat (Developer App)

By connecting your Google Chat account to Pipedream, you'll be able to incorporate your Google Chat data into whatever you're building with any of the 1,700+ apps that are available on Pipedream.

Connect Google Chat (Developer App)

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    google_chat_developer_app: {
      type: "app",
      app: "google_chat_developer_app",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.google_chat_developer_app.$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)
}