SimpleTexting
We make it easy, fast and affordable to send SMS marketing campaigns or engage in 1-on-1 conversations with customers.
Integrate the SimpleTexting API with the Go API
Setup the SimpleTexting API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate SimpleTexting and Go remarkably fast. Free for developers.
Popular SimpleTexting 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 SimpleTexting#
The SimpleTexting API offers a suite of messaging capabilities that can be leveraged to build powerful communication workflows on Pipedream. It enables automated sending of SMS and MMS messages, managing contacts, and receiving message replies. By integrating SimpleTexting with Pipedream, you can create real-time, event-driven automations that trigger SMS campaigns based on user behavior, synchronize contacts across platforms, and streamline notifications for various operational processes.
Connect SimpleTexting#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
simpletexting: {
type: "app",
app: "simpletexting",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api-app2.simpletexting.com/v2/api/campaigns`,
headers: {
Authorization: `Bearer ${this.simpletexting.$auth.api_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)
}