Zillow Property Data Scraper

The Problem

For real estate professionals and investors, high-quality property data is gold. But extracting that data is a massive headache. Doing it manually means clicking through hundreds of listings, juggling endless tabs, and copy-pasting numbers into spreadsheets until your eyes blur. Not to mention the formatting mistakes that inevitably creep in. Automating it isn’t much easier, because public listing sites aggressively block simple scraping bots. I wanted to build a tool that completely eliminated this friction.

The Solution

I designed a full-stack extraction platform that turns the chaos of raw search results into beautifully structured data. Gone are the days of hacking together terminal scripts. Now, users manage everything through a sleek, dark-themed Next.js dashboard.

The workflow is incredibly simple. You either type in a ZIP code or drop in a highly filtered Zillow search URL. The system takes over from there. It automatically navigates the results, extracts all the vital property details, and organizes them into a clean, sortable table. With one click, that data can be exported to a perfectly formatted CSV or JSON file.

Built for Speed and Resilience

Scraping dynamic, modern real estate platforms requires serious horsepower. To make this tool reliable, I entirely separated the frontend interface from the heavy-lifting scraping engine.

The backend is built for pure speed using Elysia and TypeScript, backed by a Redis queue. This architecture is the secret sauce. It handles massive multi-page scraping jobs and concurrent requests without breaking a sweat. If a page fails to load or a network hiccup occurs, the queue intelligently manages the retries. To guarantee that the final export is flawless, I used Zod and Prisma to normalize the data. Even if a listing is missing a price or square footage, the final dataset remains completely stable.

Overcoming Edge Cases

When you put a powerful scraping tool on the open internet, you have to defend it. To prevent bots from abusing the system, I integrated Cloudflare Turnstile, providing a seamless, lightweight CAPTCHA check before any search starts.

I also designed a robust rate-limiting system. Casual public users get a controlled allowance for quick searches, while power users with API keys unlock the ability to run massive, multi-page extractions. This dual-layer approach keeps the server running smoothly while remaining accessible to everyone.

The Outcome

This project successfully transforms a brutal, highly technical scraping chore into an elegant web application. What used to burn hours of manual data entry now runs effortlessly in the background. Whether you are generating a quick lead list for a CRM or piping JSON directly into an internal tool, this platform delivers reliable, structured real estate data on demand.