📊 Detect viral YouTube videos with AI analysis and email reports

⚡ 1,177 views · 📊 Market Research & Insights

💡 Pro Tip — YouTube’s API quotas can be a bottleneck when you’re pulling data at scale. ScraperNode is a community node with dedicated scrapers for channels, videos, and comments — no quota limits, just structured data.

Description

Analyze YouTube videos for virality with an AI-powered report

This workflow automates the discovery and analysis of potentially viral YouTube videos. It searches for recent, popular videos based on a keyword, calculates a unique “Algorithmic Lift Score” to measure virality, and uses an AI agent to generate an insightful summary report that is sent directly to your email.

What it does

This workflow identifies videos that are outperforming their channel’s baseline, a key indicator of viral potential. It operates in several stages:

1. Searches YouTube: It finds recent, top-performing videos based on your specified keyword and timeframe.
2. Gathers Data: For each video found, it fetches detailed statistics for both the video (views, likes, comments) and its channel (subscriber count, total views).
3. Calculates Virality Score: It calculates an “Algorithmic Lift Score” for each video. This custom metric prioritizes videos that achieve high view counts and engagement relative to their channel’s subscriber base.
4. Analyzes with AI: The top 5 videos, sorted by their virality score, are sent to an AI agent (pre-configured for OpenAI). The AI generates a concise summary highlighting trends, top performers, and other noteworthy patterns.
5. Sends Email Report: The final AI-generated analysis is converted to HTML and emailed to you, providing a ready-to-read report on what’s trending in your niche.

Who it’s for

This workflow is perfect for:

• Content Creators looking for trending topics and content ideas.
• Digital Marketers conducting competitor analysis or market research.
• Social Media Managers wanting to understand what content resonates on YouTube.
• Data Analysts who need to automate the collection and analysis of YouTube trends.

Requirements

• A Google API Key with the “YouTube Data API v3” enabled.
• An OpenAI API Key (or another compatible AI model credential).
• A connected Gmail account in n8n to send the final report.

How to set up

1. Configure the Setup Node: Click on the “Setup” node and fill in the values:
   • query: The keyword you want to search for (e.g., “AI tools”).
   • GoogleAPIkey: Your Google API key.
   • daysback: How many days in the past to search for new videos.
   • maxResult: The number of videos to analyze (e.g., 20).
   • email: The email address where the report will be sent.
2. Set AI Credentials: Click the “OpenAI Chat Model” node and add your OpenAI API key to the credentials.
3. Set Gmail Credentials: Click the “Send_Report” node and connect your Gmail account to the credentials.

🔗 Nodes Used

HTTP Request, Gmail, Markdown, Schedule Trigger, AI Agent, OpenAI Chat Model

📥 Import

Download workflow.json and import into n8n: Workflow menu → Import from File

📖 Importing guide · 🔑 Credential setup