How to Scrape Zillow — Complete Guide (2026)

Zillow is the most visited real estate website in the US, with data on over 100 million properties. Scraping Zillow enables real estate investors, PropTech companies, and market researchers to access property valuations, listing details, and market trends programmatically. This guide walks through every method for extracting Zillow data — from Zestimates and property details to search results and agent information.

What Data Can You Extract from Zillow?

Zillow property pages contain comprehensive real estate data:

• Property details — address, bedrooms, bathrooms, square footage, lot size, year built, property type, parking, HOA fees
• Pricing data — list price, Zestimate (Zillow's estimated value), Rent Zestimate, price history, tax assessment
• Listing information — listing status (for sale, pending, sold), days on market, listing agent, brokerage, MLS number
• Photos and media — property images, 3D tours, floor plans, virtual tours
• Neighborhood data — school ratings, walk score, transit score, crime data, nearby amenities
• Market data — median home values by ZIP code, price trends, inventory levels, days on market averages
• Agent/broker data — agent name, team, sold history, listings, contact information

This data powers price monitoring for real estate, investment analysis tools, PropTech platforms, and market intelligence dashboards.

Challenges When Scraping Zillow

Zillow has robust anti-scraping infrastructure:

CAPTCHA Challenges

Zillow serves CAPTCHAs after relatively few requests. Their system tracks both session-level and IP-level request patterns, serving challenges even to sophisticated scrapers.

Heavy JavaScript Rendering

Zillow's property pages are React-based SPAs. Property details, pricing data, and images load dynamically through API calls after initial page render. Static HTML contains minimal useful data.

API Encryption

Zillow's internal API uses encrypted request parameters and session tokens. These change frequently, making direct API scraping unreliable without constant reverse engineering.

Request Fingerprinting

Zillow tracks TLS fingerprints, JavaScript execution patterns, and browser behavior. Headless browsers without proper fingerprint masking are detected within a few requests.

Legal Enforcement

Zillow actively monitors for scraping and has sent cease-and-desist letters to companies scraping their data. Their ToS explicitly prohibit automated access.

Method 1: Using SimpleCrawl API (Easiest)

SimpleCrawl handles rendering, CAPTCHA solving, and returns structured real estate data:

curl -X POST https://api.simplecrawl.com/v1/scrape \
  -H "Authorization: Bearer sc_your_api_key" \
  -H "Content-Type: application/json" \
  -d '{
    "url": "https://www.zillow.com/homedetails/123-main-st/12345678_zpid/",
    "format": "extract",
    "schema": {
      "address": "string",
      "price": "string",
      "zestimate": "string",
      "bedrooms": "number",
      "bathrooms": "number",
      "sqft": "number",
      "year_built": "number",
      "property_type": "string",
      "listing_status": "string",
      "days_on_zillow": "number"
    }
  }'

For search results pages:

{
  "url": "https://www.zillow.com/san-francisco-ca/",
  "format": "extract",
  "schema": {
    "listings": [{
      "address": "string",
      "price": "string",
      "beds": "number",
      "baths": "number",
      "sqft": "number",
      "listing_type": "string"
    }],
    "total_results": "number"
  }
}

Method 2: DIY with Python (Manual)

Using Zillow's Hidden API

Zillow's frontend makes API calls to internal endpoints. You can intercept these:

import requests
import json

def search_zillow_properties(location: str) -> list:
    url = "https://www.zillow.com/search/GetSearchPageState.htm"
    headers = {
        "User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
                      "AppleWebKit/537.36 Chrome/122.0.0.0 Safari/537.36",
        "Accept": "application/json",
        "Referer": f"https://www.zillow.com/{location.lower().replace(' ', '-')}/",
    }

    search_params = {
        "searchQueryState": json.dumps({
            "usersSearchTerm": location,
            "filterState": {
                "isForSaleByAgent": {"value": True},
                "isForSaleByOwner": {"value": True},
                "isNewConstruction": {"value": True},
                "isForSaleForeclosure": {"value": True},
            },
            "isListVisible": True,
        }),
        "wants": json.dumps({"cat1": ["listResults"]}),
        "requestId": 1,
    }

    response = requests.get(url, headers=headers, params=search_params)
    if response.status_code != 200:
        return []

    data = response.json()
    results = data.get("cat1", {}).get("searchResults", {}).get("listResults", [])

    properties = []
    for r in results:
        properties.append({
            "address": r.get("statusText", ""),
            "price": r.get("unformattedPrice", 0),
            "beds": r.get("beds", 0),
            "baths": r.get("baths", 0),
            "sqft": r.get("area", 0),
            "zpid": r.get("zpid"),
            "url": r.get("detailUrl"),
        })

    return properties

Using Playwright for Property Pages

from playwright.sync_api import sync_playwright
import time

def scrape_zillow_property(url: str) -> dict:
    with sync_playwright() as p:
        browser = p.chromium.launch(headless=True)
        context = browser.new_context(
            viewport={"width": 1280, "height": 720},
            user_agent="Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) "
                       "AppleWebKit/537.36 Chrome/122.0.0.0 Safari/537.36",
        )
        page = context.new_page()
        page.goto(url, wait_until="networkidle")
        time.sleep(3)

        price = page.text_content("[data-testid='price'] span")
        beds = page.text_content("span[data-testid='bed-bath-item']:first-child strong")
        baths = page.text_content("span[data-testid='bed-bath-item']:nth-child(2) strong")
        sqft = page.text_content("span[data-testid='bed-bath-item']:nth-child(3) strong")
        address = page.text_content("h1")

        browser.close()
        return {
            "address": address.strip() if address else None,
            "price": price.strip() if price else None,
            "beds": beds.strip() if beds else None,
            "baths": baths.strip() if baths else None,
            "sqft": sqft.strip() if sqft else None,
        }

For more Python scraping techniques, see our web scraping with Python guide. If you prefer Go, check our Go web scraping guide.

Why SimpleCrawl Is Better for Zillow

Zillow's anti-bot measures make DIY scraping extremely maintenance-intensive. SimpleCrawl provides reliable property data extraction without the operational burden. Check our pricing for details.

Legal Considerations

• Zillow's ToS prohibit scraping — Zillow explicitly bans automated access and has enforced this through legal action.
• Data licensing — Zillow licenses some data through its Zillow Group APIs, but access is restricted to partners. MLS data displayed on Zillow is typically copyrighted by the MLS.
• Fair use — scraping aggregate market data (median prices, trends) for analysis may fall under fair use, but republishing individual listing details likely does not.
• CFAA considerations — accessing Zillow through technical means that circumvent access controls could raise CFAA concerns depending on jurisdiction.
• MLS data — much of Zillow's listing data originates from MLS databases, which have their own licensing restrictions.

Review Zillow's crawling rules with our robots.txt checker.

FAQ

Can I get Zestimate data by scraping Zillow?

Yes. Zestimate values appear on property detail pages and can be extracted via scraping. SimpleCrawl's extract mode returns Zestimate data as part of the structured response.

How accurate is scraped Zillow data?

Scraped data reflects exactly what Zillow displays. Zestimates have a median error rate of about 2-3% for on-market homes. Listing data (price, beds, baths) comes directly from MLS feeds and is generally accurate.

Is there a Zillow API?

Zillow's Bridge Interactive API provides limited MLS data access but requires partnership status. The old Zillow API (GetSearchResults) was discontinued. For most use cases, scraping provides more comprehensive data access.

How often should I scrape Zillow listings?

Active listings change daily (price cuts, status changes). For investment monitoring, daily scrapes are ideal. For market research, weekly captures provide sufficient trend data.

Can I scrape Zillow rental listings?

Yes. Zillow's rental listings follow the same page structure. Pass a Zillow Rentals URL to SimpleCrawl to extract rental price, deposit, lease terms, and amenities.