When it comes to finding property information online, Zillow is one of the largest real estate platforms. But manually copying property listings, prices, and agent details is time-consuming. That’s why we built the Zillow Scraper GitHub project — a fast and reliable real estate data scraper that extracts Zillow listings into structured datasets.
Why Use a Zillow Data Scraper?
If you’re an agent, investor, or researcher, structured property data is essential for decision-making. Our Zillow Data Scraper automates data collection so you can:
Save time on manual copy-paste
Export property listings to CSV or Excel
Track market trends in real time
Generate leads with accurate agent contact details
With this Zillow automation tool, you get instant access to Zillow property data for smarter real estate analysis.
Key Features of the Zillow Scraper
- Fast & Accurate: Scrape hundreds of Zillow listings in seconds
- Customizable Filters: Search by city, state, or zip code
- CSV/Excel Export: Ready-to-use data for analysis or reporting
- Open Source: Free and available on Zillow Scraper GitHub
- Scalable: Works for both small projects and bulk real estate data scraping
This makes it a simple yet powerful Zillow API alternative for anyone needing real estate data at scale.
Use Cases for Real Estate Professionals
- Agents & Brokers: Build property lead lists from Zillow
- Investors: Track home prices, rental trends, and opportunities
- Market Researchers: Collect structured datasets for analysis
- Data Scientists: Train predictive models on real estate data
The Zillow Listings Scraper helps you turn unstructured Zillow property pages into clean, usable datasets.
Final Thoughts
The Zillow Scraper is the ultimate real estate lead generation tool — fast, open source, and easy to use. Whether you’re an investor tracking deals or a researcher studying housing trends, this tool makes Zillow data accessible.
Try it now: Zillow Scraper GitHub
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