Bandwidth
Enterprise Grade Voice, Messaging, and 911 Access
Integrate the Bandwidth API with the Go API
Setup the Bandwidth API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Bandwidth and Go remarkably fast. Free for developers.
Popular Bandwidth 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 Bandwidth#
The Bandwidth API opens up a world of possibilities for integrating telecom services into your applications. Bandwidth specializes in voice, messaging, and 911 access, making it possible to programmatically send and receive text messages, orchestrate calls, and implement emergency call routing. Linking the Bandwidth API with Pipedream allows you to automate these telecom features with various triggers and actions from other apps, creating seamless and powerful workflows.
Connect Bandwidth#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bandwidth: {
type: "app",
app: "bandwidth",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://dashboard.bandwidth.com/api/accounts/${this.bandwidth.$auth.accountId}/applications`,
auth: {
username: `${this.bandwidth.$auth.username}`,
password: `${this.bandwidth.$auth.password}`,
},
})
},
})
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)
}