Integrate the Kanbanize API with the Go API

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

Popular Kanbanize and Go Actions#

Create New Task with the Kanbanize API

Create New Task. See the docs here

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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.

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Edit Task with the Kanbanize API

Edit Task. See the docs here

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List Tasks with the Kanbanize API

Get All Tasks. See the docs here

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Overview of Kanbanize#

The Kanbanize API enables the automation of complex project management workflows within Kanban boards. By leveraging the API, you can create, update, and move cards, manage board configurations, and integrate real-time updates with other tools. It's a powerful way to streamline project tracking, automate task assignments, and synchronize data across various project management platforms.

Connect Kanbanize#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    kanbanize: {
      type: "app",
      app: "kanbanize",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://${this.kanbanize.$auth.subdomain}.kanbanize.com/api/v2/users`,
      headers: {
        "apikey": `${this.kanbanize.$auth.api_key}`,
      },
    })
  },
})

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)
}