Integrate the Deputy API with the Go API

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

Popular Deputy 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 Deputy#

Deputy is a robust workforce management tool, catering to scheduling, timesheet tracking, and other employee coordination tasks. Leveraging the Deputy API on Pipedream allows you to automate mundane tasks, sync data across platforms, and create custom notifications based on employee actions. You could build workflows to manage shifts, sync employee details with HR systems, or trigger payroll processes, harnessing Pipedream's capability to integrate with various services without the need for manual coding.

Connect Deputy#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    deputy: {
      type: "app",
      app: "deputy",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.deputy.$auth.endpoint}/api/v1/me`,
      headers: {
        Authorization: `Bearer ${this.deputy.$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#

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)
}