Placetel

Modern business telephony for the cloud

Integrate the Placetel API with the Go API

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

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 Placetel

The Placetel API lets you integrate a variety of telephony functions directly into Pipedream workflows. By connecting Placetel to Pipedream, you can automate processes like sending SMS messages, managing calls, or updating contact information programmatically. Pipedream's serverless platform enables these integrations to run on triggers such as incoming webhooks, scheduled times, or actions from other apps, orchestrating complex tasks in a simplified manner.

Connect Placetel

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    placetel: {
      type: "app",
      app: "placetel",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.placetel.de/v2/me`,
      headers: {
        Authorization: `Bearer ${this.placetel.$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

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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)
}