Integrate the YoPrint API with the Go API

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

Popular YoPrint 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 YoPrint#

The YoPrint API offers a suite of functionalities to streamline printing business operations, allowing users to automate tasks related to order management, customer interactions, and production processes. By integrating YoPrint with Pipedream, businesses can create automated workflows to connect their print management with other services, enhancing efficiency and data consistency. With Pipedream's serverless platform, you can trigger actions based on various events, process data, and integrate with countless other apps.

Connect YoPrint#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    yoprint: {
      type: "app",
      app: "yoprint",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://secure.yoprint.com/v1/api/store/${this.yoprint.$auth.team_id}/setting/user`,
      headers: {
        "Authorization": `${this.yoprint.$auth.api_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#

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)
}