An innovative hospitality management cloud that empowers the modern hotelier to improve performance, maximize revenue, and provide remarkable guest experiences.
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
The Mews API is a gateway for developers to interact with the Mews hospitality platform, allowing for innovative connections and automations between hotel management systems and other software tools. By using Pipedream, you can create custom workflows that automate repetitive tasks, integrate with numerous third-party services, and manipulate data to suit specific needs within the hospitality industry. The combination of Mews' API and Pipedream's serverless execution model paves the way for enhanced guest experiences, optimized operations, and real-time data handling.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
mews: {
type: "app",
app: "mews",
}
},
async run({steps, $}) {
const data = {
"ClientToken": `${this.mews.$auth.ClientToken}`,
"AccessToken": `${this.mews.$auth.AccessToken}`,
"Client": `${this.mews.$auth.Client}`,
}
return await axios($, {
method: "post",
url: `https://${this.mews.$auth.platform_url}/api/connector/v1/configuration/get`,
auth: {
username: `{{custom_fields.email}}`,
password: `{{custom_fields.password}}`,
},
data,
})
},
})
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)
}