Revel Systems

POS system

Integrate the Revel Systems API with the Go API

Setup the Revel Systems API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Revel Systems 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 Revel Systems

The Revel Systems API provides a rich interface to a robust Point of Sale (POS) system, enabling businesses to automate and streamline operations related to sales, inventory, and customer management. By tapping into this API via Pipedream, you can trigger workflows from real-time events in your POS, sync data across various business apps, and analyze transactional data to glean actionable insights, all in an effort to enhance efficiency and customer experience.

Connect Revel Systems

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    revel_systems: {
      type: "app",
      app: "revel_systems",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.revel_systems.$auth.subdomain}.revelup.com/resources/OrderItem`,
      headers: {
        "API-AUTHENTICATION": `${this.revel_systems.$auth.api_key}:${this.revel_systems.$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

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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)
}