Zendesk is award-winning customer service software trusted by 200K+ customers. Make customers happy via text, mobile, phone, email, live chat, social media.
Emit new event when a ticket is added to the specified view
Emit new event when a ticket has changed to closed status
Emit new event when a ticket has changed to pending status
Emit new event when a ticket has changed to solved status
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
The Zendesk API enables seamless integration of Zendesk's customer service platform with your existing business processes and third-party applications. By leveraging this API with Pipedream, you can automate ticket tracking, sync customer data, escalate issues, and streamline communication across multiple channels. This can significantly increase efficiency, accelerate response times, and enhance the overall customer experience. Automations can range from simple notifications to complex workflows involving data transformation and multi-step actions across various services.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
zendesk: {
type: "app",
app: "zendesk",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.zendesk.$auth.subdomain}.zendesk.com/api/v2/users/me/`,
headers: {
Authorization: `Bearer ${this.zendesk.$auth.oauth_access_token}`,
},
})
},
})
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.
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)
}