Melo
Power your business with comprehensive property data delivered via the most reactive real estate API
Integrate the Melo API with the Go API
Setup the Melo API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Melo and Go remarkably fast. Free for developers.
Popular Melo and Go Triggers#
Emit new event when a new property ad is created in Melo. Requires a Production Environment.
Popular Melo 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 Melo#
Melo API enables you to manage and automate tasks related to project management and team collaboration. Utilize Melo's endpoints to create tasks, update project details, manage team assignments, and retrieve project metrics. Integrating Melo API with Pipedream allows you to connect your project management workflows with other apps and services, streamlining productivity and providing real-time updates across your tech stack.
Connect Melo#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
melo: {
type: "app",
app: "melo",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://${this.melo.$auth.environment}.notif.immo/documents/properties`,
headers: {
"Content-Type": `application/json`,
"X-API-KEY": `${this.melo.$auth.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)
}