Integrate the ERPNext API with the Go API

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

Popular ERPNext 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.

Overview of ERPNext#

ERPNext is an open-source enterprise resource planning (ERP) software that integrates core business functions like accounting, inventory, sales, purchase, and HR management into a single system. With the ERPNext API, you can automate these functions by triggering actions in ERPNext or syncing data with other systems. Pipedream can be a powerful partner here, as it allows you to set up complex integrations and workflows without the need for a dedicated backend. By using Pipedream, you can connect ERPNext with numerous other apps to streamline processes, react to events in real-time, and automate data transfers.

Connect ERPNext#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    erpnext: {
      type: "app",
      app: "erpnext",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `${this.erpnext.$auth.base_url}/api/method/frappe.auth.get_logged_user`,
      auth: {
        username: `${this.erpnext.$auth.api_key}`,
        password: `${this.erpnext.$auth.api_secret}`,
      },
    })
  },
})

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)
}