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Zillow Scraper
Extract 96 data points from any Zillow search — price, beds, baths, Zestimate, agent & all photos.
Trusted worldwide by the best
Export listings from Zillow — right now
Extract
Paste any Zillow search URL and get every home on it — price, full address, beds, baths, living area, days on market, Zestimate, broker and the whole photo gallery. 96 data points per listing.
Schedule
Automate Zillow data collection on daily, weekly, or monthly schedules.
Export
Export all listing data to Google Sheets, email, or S3 — fully automated.
Built for Agents
Run it from your stack.
Or hand it to your agent.
Zillow Scraper ships with a Python SDK, a one-line CLI and a native MCP server your agents can plug into directly — no rate limits to dodge, no bot mitigation to bypass, no parsing errors to chase down.
# install once (Python 3.10+)
pip install lobstrio
# check your token
lobstr whoami
# find the scraper
lobstr crawlers search "Zillow"
# one call — launch, wait, download
lobstr go zillow-scraper \
"<any Zillow URL>" \
--param max_results=200 \
-o results.csv96 data attributes per listing
Every scrape returns structured data you can export as CSV, JSON, or via API.
Zillow Property ID, the stable identifier of the home.
Listing status as Zillow labels it: FOR_SALE, SOLD, FOR_RENT, PENDING...
Asking price, as a number. Empty on sold listings, see sold_price.
Price exactly as displayed by Zillow, with currency symbol.
Currency of the price.
Sale price when the listing is sold. Zillow leaves it empty in non-disclosure states (e.g. Texas).
Date the home was sold (UTC).
Full address on one line.
Street part of the address.
Fast
600 listings per minute
Lightning-fast performance
Solid
99.95% task success rate
Dependable, reliable data every time
Cost-competitive
$0.5 per 1000 listings
Top affordability worldwide
Built to run.
Most scrapers break in silence. This one doesn't — and we show it, openly.
incident-free runs · last 90 days
Tracked from every run. Incidents stay on the record even after they're fixed.