Aroflo

Field Service Management Software

Integrate the Aroflo API with the Go API

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

Aroflo's API offers the power to streamline operations by automating tasks and integrating with a wide variety of systems. Through Pipedream, you can leverage this to synchronize data across platforms, trigger workflows based on specific events, and manipulate Aroflo data in real-time. Whether updating project statuses, managing assets, or automating invoicing and reporting, Pipedream's serverless platform can facilitate a seamless link between Aroflo and other services.

Connect Aroflo

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    aroflo: {
      type: "app",
      app: "aroflo",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.aroflo.com/`,
      headers: {
        "Accept": `text/json`,
        "Authentication": `HMAC ${this.aroflo.$auth.hmac_key}`,
      },
      params: {
        where: `and|archived|=|false`,
        zone: `users`,
        page: `1`,
      },
    })
  },
})

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)
}