Integrate the Heroku API with the Go API

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

Popular Heroku 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.

Try it

Overview of Heroku#

The Heroku API offers programmatic access to Heroku's cloud platform, enabling developers to automate, extend, and integrate their app's lifecycle events with other services. With Pipedream, you can harness the Heroku API for powerful automation, such as managing apps, dynos, add-ons, and configuring scaling operations. Pipedream's ability to connect with multiple services allows for creating complex workflows, such as syncing your development pipeline with external project management tools or triggering alerts based on app metrics.

Connect Heroku#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    heroku: {
      type: "app",
      app: "heroku",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.heroku.com/account`,
      headers: {
        Authorization: `Bearer ${this.heroku.$auth.oauth_access_token}`,
        "accept": `application/vnd.heroku+json; version=3`,
      },
    })
  },
})

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)
}