Vend

Retail POS Software

Integrate the Vend API with the Go API

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

Run Go Code with Go API on New Inventory Update from Vend API
Vend + Go
 
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New Inventory Update from the Vend API

Emit new event for each update on inventory. See docs here

 
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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 Vend

The Vend API offers programmatic access to retail management features, enabling users to automate processes related to inventory, sales, products, customers, and more within their retail business. Through Pipedream, you can harness this API to create custom workflows that trigger on various events within Vend, process data, integrate with other apps, and automate actions to streamline retail operations, enhance customer engagement, and optimize sales strategies.

Connect Vend

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    vend: {
      type: "app",
      app: "vend",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.vend.$auth.domain_prefix}.vendhq.com/api/2.0/security_events`,
      headers: {
        Authorization: `Bearer ${this.vend.$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

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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)
}