Zillow Real Estate Scraping: Property Data, Prices, and Estimates with Python

Zillow is the largest real estate marketplace in the US, with data on over 100 million properties. Extracting property data, Zestimates, and market trends enables powerful real estate analysis. Here's how to do it with Python in 2026. What Data Can You Extract? Property addresses, prices, and Zestimates Square footage, bedrooms, bathrooms Listing status (for sale, sold, pending) Price history and tax records Neighborhood statistics Photos and virtual tour links Using Zillow's Hidden API Zillow loads data through internal API endpoints that return JSON. This is more reliable than parsing HTML: import requests import json def search_zillow_api ( location , page = 1 ): """ Search Zillow using their internal search API. """ url = " https://www.zillow.com/search/GetSearchPageState.htm " headers = { " User-Agent " : " Mozilla/5.0 (Windows NT 10.0; Win64; x64) " " AppleWebKit/537.36 Chrome/120.0.0.0 Safari/537.36 " , " Accept " : " application/json " , " Referer " : f " https://www.zillow.com