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"Where bold experiments become business breakthroughs"
July 23, 2025
Day 1 Complete - Planning & Setup Done!
Most businesses struggle with data collection from websites. We're building intelligent automation that adapts to any site structure.
Companies spend $50K-$500K annually on manual data collection. Existing tools break when websites change structure.
AI can understand website patterns and adapt automatically. No more breaking when sites update their design.
We'll prove this works by handling 25 different websites with 90%+ accuracy by Day 5.
Industries already using web scraping for competitive advantage
Track competitor pricing, inventory, and promotions across hundreds of products automatically.
Collect customer reviews, social mentions, and brand sentiment from multiple platforms.
Extract contact information and business details from directories and professional networks.
Monitor property listings, price changes, and market trends across multiple real estate platforms.
Aggregate stock prices, news sentiment, and economic indicators for investment analysis.
Track brand mentions, content trends, and competitor activities across news and social media.
See how much you could save with intelligent web scraping
That's $150,000 per year!
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Real progress from our first day
Development environment ready, architecture planned. Tomorrow we start building the actual crawler. Biggest challenge identified: JavaScript-heavy sites.
Mapped out technical approach. Decided on Python + AI hybrid strategy. Target: 25 different websites by Day 5.
5-day AI crawler challenge officially started! Coffee loaded, whiteboard ready. Let's see if we can pull this off.
Our systematic approach to building intelligent web scraping
Environment ready, approach defined
✅ COMPLETEDBuild basic scraper
⏳ DAY 2 FOCUSTrain pattern recognition
⏳ DAY 3-4 TARGETTest on all 25 sites
◯ DAY 4-5 GOALRate limiting, robots.txt
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