Connect to the YouTube Data API with a custom OAuth client
Emit new event for each new comment or reply posted to a Youtube video.
Emit new event for each new Youtube video liked by the authenticated user
Emit new event for each new Youtube subscriber to user Channel.
Emit new event for each new subscription from authenticated user.
Emit new event for each new Youtube video the user posts.
Adds resources to a playlist. See the docs for more information
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Returns statistics from my YouTube Channel or by id. See the docs for more information
Creates a new top-level comment in a video. See the docs for more information
Creates a playlist. See the docs for more information
The YouTube (Data API) - Custom App API on Pipedream lets you wield the vast capabilities of YouTube's platform directly within your automated workflows. Leverage this API to manage channels, playlists, subscriptions, and videos. You can automate video uploads, sync channel data with other platforms, analyze metrics, and engage with your audience without manual intervention. Utilize the power of serverless and event-driven architecture to respond to video events in real-time, enrich your marketing strategies, and maintain an active, data-informed YouTube presence.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
youtube_data_api_custom_app: {
type: "app",
app: "youtube_data_api_custom_app",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.googleapis.com/oauth2/v1/userinfo`,
headers: {
Authorization: `Bearer ${this.youtube_data_api_custom_app.$auth.oauth_access_token}`,
},
})
},
})
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)
}