BoxHero

Inventory Management Reinvented. BoxHero makes inventory management easier than ever.

Integrate the BoxHero API with the Go API

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

Run Go Code with Go API on New Transaction from BoxHero API
BoxHero + Go
 
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New Transaction from the BoxHero API

Emit new event when a transaction occurs. See the documentation

 
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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.

 
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Overview of BoxHero

The BoxHero API provides tools to manage inventory in a streamlined and efficient way. By integrating with Pipedream, you can automate inventory tracking, update stock levels in real-time, and synchronize data across platforms. Create powerful workflows that trigger actions based on inventory changes, connect to other apps for a seamless operation, or analyze inventory data for smarter decision-making.

Connect BoxHero

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    boxhero: {
      type: "app",
      app: "boxhero",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://rest.boxhero-app.com/v1/items`,
      headers: {
        Authorization: `Bearer ${this.boxhero.$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

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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)
}