I just built a complete YouTube Competitor Analytics Dashboard—without writing a single line of code.

Here’s what makes this workflow game-changing:

The Challenge: Understanding competitor performance on YouTube typically requires expensive tools or custom development. I wanted to create an automated solution that anyone could replicate.

The Solution: By combining Claude Code (AI coding agent) with Apify (scraping tool with YouTube Agent Skills), I built an intelligent dashboard that:

✅ Scraped 305 videos from 26 competitor channels

✅ Analyzed 175 million total views

✅ Identified 14 trending topics automatically

✅ Generated visualizations for engagement patterns, topic distribution, and growth trends

The Tech Stack:

• Claude Code for autonomous development
• Apify for YouTube data scraping
• HTML/JavaScript for interactive dashboards
• Visual Studio Code as the environment

The Results: Built in just 15-20 minutes with zero manual coding. The dashboard displays:

• Topic distribution analysis
• Trending keyword clouds
• Channel specialties breakdown
• Weekly view distribution patterns

Key Workflow (6 Steps):

1. Define competitor parameters
2. Generate project structure via Claude Code
3. Add your API token
4. Execute scraping with Apify Skills
5. Resolve any issues (low credit balance handled automatically)
6. Spool dashboard for visualization

Why This Matters: This represents a fundamental shift in how we approach competitive analysis. AI agents don’t just assist—they architect, execute, and deliver complete solutions. The barrier between idea and implementation is disappearing.

Takeaway: If you’re still building tools manually, you’re spending 10x the time for the same result. AI-powered automation isn’t the future—it’s available right now.

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Watch the full tutorial below and join my growing AI community on Skool.