Integrate the Route4Me API with the Go API

Setup the Route4Me API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Route4Me and Go remarkably fast. Free for developers.

Popular Route4Me and Go Actions#

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 Route4Me#

The Route4Me API provides access to a suite of tools designed for route optimization and fleet management. With its functions, you can plan routes, track vehicles, and manage addresses and members. Integrating Route4Me with Pipedream allows you to automate workflows involving logistics, dispatching, and real-time tracking. By leveraging Pipedream's capabilities, you can create event-driven automation, connect with numerous services, and handle complex logic without worrying about infrastructure.

Connect Route4Me#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    route4me: {
      type: "app",
      app: "route4me",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.route4me.com/api.v4/address_book.php`,
      params: {
        api_key: `${this.route4me.$auth.api_key}`,
        addr_id: ``,
      },
    })
  },
})

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#

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)
}