Coupontools
The Coupontools software hands Marketers the promotional tools to interact with their audience.
Integrate the Coupontools API with the Go API
Setup the Coupontools API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Coupontools and Go remarkably fast. Free for developers.
Popular Coupontools 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 Coupontools#
The Coupontools API offers a robust set of functions for creating, managing, and tracking digital coupons and deals. With Pipedream, you can automate workflows that integrate with Coupontools to enhance customer engagement, streamline promotions, and gather insightful data on coupon usage. By leveraging Pipedream's capability to connect with various apps and services, you can create multi-step workflows that react to events, process data, and perform actions across your marketing stack.
Connect Coupontools#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
coupontools: {
type: "app",
app: "coupontools",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.coupontools.com/v4/subaccount/list`,
headers: {
"Content-Type": `application/json`,
"X-Client-Id": `${this.coupontools.$auth.client_id}`,
"X-Client-Secret": `${this.coupontools.$auth.client_secret}`,
},
})
},
})
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)
}