Phone.com
Phone.com is the modern small business communication solution that lets you connect a business phone number to any device. You get the voice, video, text, call management, and collaboration features of an enterprise phone system without the cost.
Integrate the Phone.com API with the Go API
Setup the Phone.com API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Phone.com and Go remarkably fast. Free for developers.
Popular Phone.com and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of Phone.com#
Phone.com's API offers a programmable way to interact with its VoIP services, allowing you to streamline communication tasks, manage call settings, send SMS messages, and retrieve call logs programmatically. By leveraging Phone.com's functionalities within Pipedream, you can automate a variety of telephony workflows, integrate with other services for enhanced communication experiences, and analyze call data for actionable insights.
Connect Phone.com#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
phone_com: {
type: "app",
app: "phone_com",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.phone.com/v4/accounts`,
headers: {
Authorization: `Bearer ${this.phone_com.$auth.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)
}