Integrate the commercetools API with the Go API

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

Popular commercetools 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 commercetools#

Commercetools is a flexible, cloud-based e-commerce platform offering APIs that allow you to build a wide array of custom shopping experiences. Using Pipedream, you can harness these APIs to automate various e-commerce operations, such as inventory management, order processing, and customer engagement. Its headless architecture means that you can decouple the backend from the frontend, giving you the freedom to create unique user interfaces while Pipedream manages the heavy lifting on the backend.

Connect commercetools#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    commercetools: {
      type: "app",
      app: "commercetools",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.commercetools.$auth.api_host}${this.commercetools.$auth.projectKey}/stores`,
      headers: {
        Authorization: `Bearer ${this.commercetools.$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#

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)
}