What do you want to automate

with Locate and Go?

Prompt, edit and deploy AI agents that connect to Locate, Go and 2,500+ other apps in seconds.

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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.

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

Overview of Locate

The Locate API enables precise inventory management by tracking items in real-time. By leveraging this API with Pipedream, one can automate inventory updates, trigger alerts for low stock, and integrate with e-commerce platforms for synchronized stock management. It's a potent tool for businesses that want to streamline their inventory processes and ensure item availability through automated workflows.

Connect Locate

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    locate: {
      type: "app",
      app: "locate",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.locate.$auth.subdomain}.locateinv.com/salesordertype`,
      headers: {
        "Content-Type": `application/json`,
        "Accept": `application/json`,
      },
      auth: {
        username: `${this.locate.$auth.api_key}`,
        password: `${this.locate.$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)
}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo