Discover how to build a directory with THOUSANDS of listings — no code required. In this video, I show you how I'll rebuild MontessoriFind.com from scratch using an Apify scraper, Supabase, and MCP servers with Claude Code to scrape data instantly and auto-populate a live database.
You don't need another AI tutorial. You need a room full of people who are actually building!
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What you’ll learn in this video:
✅ How to use MCPs to scrape directories with a single prompt
✅ Set up Apify + Supabase integration via MCP servers
✅ Automate data extraction from Google Maps (schools, businesses, etc.)
✅ Build a fully functional MVP frontend in Next.js using AI agents
✅ Avoid duplicates, manage reviews, and scale scraping ethically
✅ When to use AI scrapers vs. custom Python scripts
This is the future of MVP development: prompt → scrape → store → deploy. Whether you're building a niche directory, local business finder, or SaaS, this AI-powered workflow saves weeks of dev time.
Perfect for no-code builders, indie hackers, and AI entrepreneurs. I also reveal my alternative for full control: building custom scrapers with AI in the AI Captain School (7-day trial available).
🔧 TOOLS USED IN THIS VIDEO:
Apify (https://apify.com?fpr=dznr31)
Visual Studio Code (https://code.visualstudio.com)
Claude Code (https://claude.ai)
Supabase (https://supabase.com)
⏱️ TIMESTAMPS:
00:00 The AI Shortcut to Building Directories
01:17 Setting Up Apify MCP + Supabase
03:22 Rebuilding MontessoriFind.com
04:48 Plan Mode: Why It’s Critical for AI Agents
05:34 Choosing the Right Scraper (Google Maps Extractor)
06:17 Auto-Inserting Data + Reviews Into Supabase
07:22 Prototyping the Frontend With AI
09:00 AI Orchestration: Parallel Agent Workflow
10:28 Enforcing SEO-Friendly Server-Side Rendering
11:24 Live MVP: Connected to Real Data
12:18 Next Steps: Scaling to 7,000 Listings
Follow my build-in-public journey: https://blog.jordanurbs.com
Say hi on X: https://x.com/jordanurbs
Sometimes I write on Substack: https://jordanurbs.substack.com/