Streamlabs
Free live streaming software
Integrate the Streamlabs API with the Go API
Setup the Streamlabs API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Streamlabs and Go remarkably fast. Free for developers.
Popular Streamlabs 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 Streamlabs#
The Streamlabs API opens doors to automating and enhancing live streaming experiences. By tapping into Streamlabs' functionalities, you can automate alerts, manage donations, and interact with your audience in real time. Augment your streaming workflow by integrating with other services to cut down on manual processes, respond to events as they happen, and personalize the interaction with your viewers.
Connect Streamlabs#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
streamlabs: {
type: "app",
app: "streamlabs",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://streamlabs.com/api/v1.0/user`,
params: {
access_token: `${this.streamlabs.$auth.oauth_access_token}`,
},
})
},
})
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)
}