Integrate the Switchboard API with the Go API

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

Popular Switchboard 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 Switchboard#

The Switchboard API offers a platform to manage multi-platform data pipelines, enabling seamless data synchronization and transformation across diverse systems. With Pipedream, you can leverage the Switchboard API to create serverless workflows that automate data operations, reducing manual overhead and creating real-time, event-driven processes. These workflows can integrate with numerous apps available on Pipedream, making it possible to connect data sources, handle data in transit, and trigger actions based on custom logic.

Connect Switchboard#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    switchboard: {
      type: "app",
      app: "switchboard",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.canvas.switchboard.ai/templates`,
      headers: {
        "X-API-Key": `${this.switchboard.$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)
}