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!
Ready to go deeper? Free 5-day email courses:
What you’ll learn in this video:
âś… How to use MCPs to scrape directories with a single prompt
âś… Set up Apify + Supabase integration via MCP servers
âś… Automate data extraction from Google Maps (schools, businesses, etc.)
âś… Build a fully functional MVP frontend in Next.js using AI agents
âś… Avoid duplicates, manage reviews, and scale scraping ethically
âś… 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:
⏱️ 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