Making real estate data simple

Me too. That's why we built RealSimpli – a growing collection of real estate scrapers that deliver clean, structured data instead of headaches.

Working with raw real estate web data is a nightmare: deeply nested objects, inconsistent formats, missing fields. We focus on one thing: turning chaos into clean, structured data.

• ✅ Consistent Structure: Same fields, same naming convention, every time
• ✅ Clean Types: Numbers are numbers, not strings
• ✅ Logical Organization – Data grouped by category (pricing, location, features)
• ✅ Production Ready: Built-in validation, retry logic, and anti-blocking measures
• ✅ Actively Maintained: Quick updates when sources change

We're building a comprehensive ecosystem of scrapers to cover every aspect of the real estate data lifecycle:

• 🏘️ Property Search: Find listings by location, price, amenities, and custom criteria.
• 🏡 Property Details: Deep dive into 150+ data points including specs, history, and photos.
• 📈 Market Trends: Analyze neighborhood analytics, price trends, and growth forecasts.
• 📊 Investment Analysis: Calculate Cap Rates, Cash-on-Cash returns, and ROI instantly.
• 💵 Property Valuations: Get current estimates with confidence intervals and ranges.
• 🧾 Financial Data: Access detailed tax history, HOA fees, and mortgage calculations.
• 🏘️ Rental Analysis: View estimated rents, occupancy rates, and rental comps.

We actually read your feedback! Seriously, every comment, suggestion, and bug report gets our attention.

• 💬 Drop a comment on any actor - ideas, issues, or just to say hi
• 🐛 Found a bug? Report it and I'll fix it fast
• 💡 Feature idea? We're always looking for ways to improve
• 📧 Need something custom? Reach out - happy to help