I simply constructed a whole YouTube Competitor Analytics Dashboard—with out writing a single line of code.
Right here’s what makes this workflow game-changing:
The Problem: Understanding competitor efficiency on YouTube sometimes requires costly instruments or customized growth. I needed to create an automatic answer that anybody may replicate.
The Answer: By combining Claude Code (AI coding agent) with Apify (scraping device with YouTube Agent Abilities), I constructed an clever dashboard that:
✅ Scraped 305 movies from 26 competitor channels
✅ Analyzed 175 million whole views
✅ Recognized 14 trending subjects routinely
✅ Generated visualizations for engagement patterns, matter distribution, and development tendencies
The Tech Stack:
- Claude Code for autonomous growth
- Apify for YouTube information scraping
- HTML/JavaScript for interactive dashboards
- Visible Studio Code because the setting
The Outcomes: In-built simply 15-20 minutes with zero guide coding. The dashboard shows:
- Matter distribution evaluation
- Trending key phrase clouds
- Channel specialties breakdown
- Weekly view distribution patterns
Key Workflow (6 Steps):
- Outline competitor parameters
- Generate challenge construction through Claude Code
- Add your API token
- Execute scraping with Apify Abilities
- Resolve any points (low credit score steadiness dealt with routinely)
- Spool dashboard for visualization
Why This Issues: This represents a elementary shift in how we method aggressive evaluation. AI brokers don’t simply help—they architect, execute, and ship full options. The barrier between concept and implementation is disappearing.
Takeaway: In case you’re nonetheless constructing instruments manually, you’re spending 10x the time for a similar end result. AI-powered automation isn’t the long run—it’s accessible proper now.
Watch the total tutorial beneath and be part of my rising AI neighborhood on Skool.
