How to Scrape Zillow Real Estate Listings

Zillow is the largest real estate marketplace in the US. Scraping Zillow with ScrapingLab lets you monitor property prices, analyze market trends, and build listing databases.

What You Can Extract

• Property address and coordinates
• Listing price and price history
• Number of bedrooms, bathrooms, and square footage
• Property type (house, condo, townhouse)
• Listing status (for sale, pending, sold)
• Days on market
• Zestimate (Zillow’s estimated value)
• Agent and brokerage information

Step-by-Step with ScrapingLab

1. Target Search Results

Start with a Zillow search URL for your target area:

https://www.zillow.com/new-york-ny/

You can add filters to the URL for price range, property type, bedrooms, etc.

2. Build Your Workflow

1. Navigate — Go to the Zillow search results page
2. Wait — Wait for listings to render (3-5 seconds)
3. Extract — From each property card:
   • Price
   • Address
   • Beds/baths/sqft
   • Listing status
   • Property link
4. Screenshot — Capture the search results page

3. Get Property Details

For detailed data on individual listings:

1. Navigate — Go to individual property page
2. Wait — Wait for full page load
3. Extract — Get detailed fields:
   • Full description
   • Price history
   • Tax history
   • Neighborhood data
   • Agent/broker info
4. Screenshot — Capture the property page

4. Handle Pagination

Zillow paginates search results. Add a loop:

1. Click — Click the next page arrow
2. Wait — Wait for new results
3. Extract — Repeat extraction
4. Set loop count based on how many pages you need

5. Schedule and Export

• Run daily to catch new listings as soon as they appear
• Export to CSV for analysis in spreadsheets
• Use webhooks to send alerts when properties matching your criteria are listed

Common Challenges

Anti-scraping Measures

Zillow uses aggressive bot detection. ScrapingLab’s proxy rotation is essential here. Keep request volumes moderate and add delays between page loads.

Map-based Results

Some Zillow searches show results on a map rather than a list. Use the list view URL format for more consistent extraction.

Dynamic Pricing

Zillow updates prices frequently. Schedule runs at consistent times for accurate trend analysis.

Best Practices

• Use specific areas — Target specific neighborhoods or zip codes rather than entire cities
• Limit pages — Scrape 5-10 pages per run to stay under radar
• Track over time — Build a historical database by exporting daily and comparing changes
• Verify with screenshots — Always capture screenshots to validate extracted data