Govee
Govee is a global leading smart home brand pursuing personalized and fun life experiences through continuous innovations, especially in ambient lighting, home appliance products, and smart IoT systems.
Integrate the Govee API with the Go API
Setup the Govee API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Govee and Go remarkably fast. Free for developers.
Popular Govee 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 Govee#
The Govee API enables you to interact with your Govee smart home devices. Through Pipedream, you can automate actions like adjusting lighting color and brightness, monitoring temperature and humidity levels, and creating alerts based on the state of your devices. With Pipedream's capability to join multiple APIs, these interactions can become intelligent responses to inputs from other sources, such as calendars, weather services, or IoT triggers.
Connect Govee#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
govee: {
type: "app",
app: "govee",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://openapi.api.govee.com/router/api/v1/user/devices`,
headers: {
"Govee-API-Key": `${this.govee.$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)
}