The world’s most flexible online scheduling system.
Emit new event when a customer cancels an existing group or single booking within your appointedd organisations. See the documentation
Emit new event when a new customer books into a new booking or an existing group booking in your appointedd organisations. See the documentation
Emit new event when a new customer is created in one of your Appointedd organisations. See the documentation
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
The Appointedd API enables you to manage bookings, resources, services, and customers within the Appointedd platform programmatically. Integrating with Pipedream allows you to automate these tasks, connect with multiple apps, and streamline your scheduling and business workflows. With Pipedream's serverless platform, you can harness Appointedd's capabilities to trigger workflows on specific events, sync data across platforms, or handle complex scheduling logic without writing extensive code.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
appointedd: {
type: "app",
app: "appointedd",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.appointedd.com/v1/bookings?limit=10&sort_by=natural&order_by=descending&return_matching_customers_only=false`,
headers: {
"X-API-KEY": `${this.appointedd.$auth.api_key}`,
},
})
},
})
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)
}