Integrate the Beamer API with the Go API

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

Popular Beamer 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 Beamer#

The Beamer API enables you to automate client communication and project management tasks. With Beamer, you can create notifications, announcements, and alerts that keep your team and clients updated on project status, milestones, and deadlines. When integrated with Pipedream, Beamer unleashes the power of serverless workflows to connect with myriad apps, allowing for sophisticated automations that can streamline communications, synchronize updates across platforms, and trigger actions based on specific events or conditions.

Connect Beamer#

import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    beamer: {
      type: "app",
      app: "beamer",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      method: "post",
      url: `https://api.getbeamer.com/v0/ping`,
      headers: {
        "Beamer-Api-Key": `${this.beamer.$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)
}