Integrate the Workstack API with the Go API

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

Popular Workstack 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 Workstack#

Workstack is a task and project management tool that helps teams organize their workloads efficiently. With its API, you can automate project and task creation, update timelines, and sync across multiple tools, ensuring your team stays on top of their deliverables. The Workstack API on Pipedream opens up possibilities to connect with hundreds of other apps, triggering actions in Workstack or vice versa, based on events from other tools, leading to a more integrated workflow and improved productivity.

Connect Workstack#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    workstack: {
      type: "app",
      app: "workstack",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://app.workstack.io/api/team`,
      headers: {
        "Accept": `application/json`,
      },
      params: {
        api_token: `${this.workstack.$auth.api_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)
}