Uplisting
Confidently grow your STR business & earn more on Uplisting. Preferred+ AirBnB software partner.
Integrate the Uplisting API with the Go API
Setup the Uplisting API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Uplisting and Go remarkably fast. Free for developers.
Popular Uplisting 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 Uplisting#
The Uplisting API allows property managers and hosts to automate and integrate their listing and booking management across various platforms. With this API on Pipedream, you can streamline operations like syncing bookings, updating listings, and managing guests' stays. Uplisting on Pipedream provides a canvas for building workflows that connect with other apps for a cohesive property management system, simplifying tasks such as communication, scheduling, and analytics.
Connect Uplisting#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
uplisting: {
type: "app",
app: "uplisting",
}
},
async run({steps, $}) {
const base64_encoded_api_key = Buffer.from(this.uplisting.$auth.api_key).toString('base64');
return await axios($, {
url: `https://connect.uplisting.io/users/me`,
headers: {
"Content-Type": `application/json`,
"Authorization": `Basic ${base64_encoded_api_key}`,
},
})
},
})
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)
}