Integrate the YouTube (Analytics API) API with the Python API

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

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Popular YouTube (Analytics API) and Python Actions#

Get Video Metrics with the YouTube (Analytics API) API

Retrieve detailed analytics for a specific video. See the documentation

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Run Python Code with the Python API

Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.

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List Channel Reports with the YouTube (Analytics API) API

Fetch summary analytics reports for a specified youtube channel. Optional filters include date range and report type. See the documentation

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Query Custom Analytics with the YouTube (Analytics API) API

Execute a custom analytics query using specified metrics, dimensions, filters, and date ranges. Requires query parameters to configure. See the documentation.

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Overview of YouTube (Analytics API)#

The YouTube Analytics API enables you to pull complex, insightful data regarding your YouTube channel's performance, audience demographics, and engagement metrics. It's a goldmine for content creators looking to refine their content strategy based on solid data. Using Pipedream, you can automate the extraction of these analytics, set up real-time alerts, or synchronize this data with other tools for enhanced reporting and decision-making.

Connect YouTube (Analytics API)#

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

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