Integrate the Teamdeck API with the Go API

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

Popular Teamdeck 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 Teamdeck#

Teamdeck offers a versatile API that allows you to manage and automate aspects of resource management, like booking, time tracking, and reporting. With the Teamdeck API on Pipedream, you can create custom workflows to connect Teamdeck’s resource scheduling capabilities with other apps to streamline project management, automate timesheet collection, monitor team availability, and generate analytics. It's perfect for managers who want to optimize their team's productivity and for teams who aim to improve their operational workflows.

Connect Teamdeck#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    teamdeck: {
      type: "app",
      app: "teamdeck",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.teamdeck.io/v1/bookings`,
      headers: {
        "X-Api-Key": `${this.teamdeck.$auth.api_key}`,
        "Content-Type": `application/json`,
      },
    })
  },
})

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)
}