YouTube (Analytics API) - Custom App

Connect to the YouTube Analytics API with a custom OAuth client

Integrate the YouTube (Analytics API) - Custom App API with the Go API

Setup the YouTube (Analytics API) - Custom App API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate YouTube (Analytics API) - Custom App and Go remarkably fast. Free for developers.

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

 
Try it

Overview of YouTube (Analytics API) - Custom App

The YouTube (Analytics API) - Custom App on Pipedream enables content creators, marketers, and developers to deeply understand the performance of their YouTube channels and videos through automated data retrieval. By tapping into metrics like view counts, likes, comments, and watch time, users can craft strategies to optimize their content and increase engagement. With Pipedream's serverless platform, these insights can trigger workflows, inform content creators in real-time, and integrate smoothly with other apps for a seamless data processing experience.

Connect YouTube (Analytics API) - Custom App

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    youtube_analytics_api_custom_app: {
      type: "app",
      app: "youtube_analytics_api_custom_app",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://www.googleapis.com/oauth2/v1/userinfo`,
      headers: {
        Authorization: `Bearer ${this.youtube_analytics_api_custom_app.$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

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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)
}