Integrate the Workboard API with the Go API

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

Popular Workboard 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 Workboard#

The Workboard API enables you to interact with Workboard's platform programmatically, allowing for the automation of tasks related to goal setting, action item tracking, and performance metrics. By deploying workflows on Pipedream, you can connect Workboard to a multitude of other apps, triggering actions and exchanging data to streamline your organization's operations and decision-making processes. A well-integrated system can save time, reduce errors, and provide real-time insights into team performance and project progress.

Connect Workboard#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    workboard: {
      type: "app",
      app: "workboard",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.myworkboard.com/wb/apis/user/`,
      headers: {
        Authorization: `Bearer ${this.workboard.$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)
}