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

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

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#

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 Python#

Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.

This includes installing PyPI packages, within your code without having to manage a requirements.txt file or running pip.

Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:

Connect Python#

def handler(pd: "pipedream"):
  # Reference data from previous steps
  print(pd.steps["trigger"]["context"]["id"])
  # Return data for use in future steps
  return {"foo": {"test":True}}