Apify Zillow Scraper: Extract Property Data & Listings (2026)
The Apify Zillow scraper extracts property listings at scale — price, address, beds/baths, days on market, agent details — filtered by city, zip, price range or property type, exported to CSV or fed into your pipeline automatically.
For realtors it is a market-intelligence engine; for investors a deal-flow machine; for analysts a dataset. Ten-minute setup, and it runs unattended on a schedule. The real estate angle pairs with our [AI tools for real estate](/blog/ai-tools-real-estate) guide.
- Extracts the full listing object: price, address, beds/baths, sqft, DOM, agent, photos, listing URL
- Filter at scrape time by city/zip, price band, beds — don't scrape everything then filter
- Scheduled daily runs turn it into a deal-flow alert system for investors
- The [Apify pricing](/blog/apify-pricing-2026) free tier covers meaningful testing; serious volume fits Starter
What the scraper extracts
The Zillow Search Scraper returns the structured listing object: price, full address, bedrooms, bathrooms, square footage, lot size, property type, days on market, listing status (for sale/pending/sold), price history where available, listing agent and brokerage, photos, and the canonical Zillow URL.
That last field matters: the URL is your join key for tracking listings over time — price drops and status changes are diffs between runs.
Setup: 10 minutes to first data
The exact run setup:
- Find "Zillow Search Scraper" in the Apify Store (or the Zillow Detail scraper for deep pulls on known URLs) — Find "Zillow Search Scraper" in the Apify Store (or the Zillow Detail scraper for deep pulls on known URLs)
- Input location (city, zip or drawn-map URL), filters (for-sale, price range, beds), max items
- Run once on a small market — 100 listings — to inspect the output shape — Run once on a small market — 100 listings — to inspect the output shape
- Export CSV for analysis, JSON for pipelines, or straight to Google Sheets
- Scale widen the geography or add locations — one run can take multiple inputs
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
For realtors: market intelligence, not just data
The value is the comparison layer: scrape your farm area weekly, and you have comps, DOM trends, and price-reduction velocity that MLS dashboards summarize but do not export. A neighborhood where average DOM drops from 40 to 22 is a listing-conversation opening.
Feed listings into lead workflows: expired and FSBO-adjacent signals, plus new listings needing buyer-side marketing — the data sources differ but the pipeline is identical.
For investors: the deal-flow machine
The investor play is scheduled filtering: daily runs on target zips with your buy-box (price ceiling, beds, property type) → diff against yesterday → alert on new matches and price drops. A property that drops 8% in a week is the notification that matters.
Wire it like the competitor tracking system: scrape → diff → Slack/email alert. Your buy-box runs itself while you look at other deals.
Track DOM + price reductions together — a listing sitting 60+ days then dropping price is the motivated-seller signature investors hunt.
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
Schedules, proxies, and staying reliable
Zillow is moderately protected: use Apify's proxies (residential where needed) and keep run frequency sane — daily per market is plenty; hourly looks like a bot and buys you nothing.
Schedule via cron and alert via webhooks — the infrastructure is built, you just declare the cadence.
Public listing data is fine to collect; how you use agent contact details is regulated — check your market's rules before any outreach built on scraped data.
Beyond Zillow: the same pattern everywhere
The scrape → diff → alert pattern is portable: Airbnb listings for STR analysis, Google Maps for agent contact data, Redfin/Realtor.com actors in the same store. Learn the Zillow scraper and you have the real estate data playbook.
The Apify Zillow scraper turns the biggest property database into your private feed: filtered listings, price histories, and scheduled diffs that surface deals and market shifts automatically.
Run your farm area or target zips today — by tomorrow morning you have a dataset no dashboard will hand you.
Ready to get started?
Try the tools from this article risk-free. Free trials available.
FAQ
Can you scrape Zillow with Apify?
Yes — the Zillow Search Scraper extracts listings (price, address, beds, DOM, agent) filtered by city/zip/price, exportable to CSV/JSON and schedulable for ongoing monitoring.
Is scraping Zillow legal?
Publicly displayed listing data is generally collectible — it is public commercial information. Use it for analysis and your own pipeline; republishing it wholesale or misusing agent contact data is where legal lines sit.
How do I track price drops on Zillow?
Run the scraper daily on your target market, diff consecutive runs on listing URL — new listings and price changes are the deltas. Webhooks alert you the morning they happen.
Apify Zillow scraper for real estate investors?
Set your buy-box as filters (zip, price ceiling, beds), schedule daily, diff for new matches and reductions — it is a self-running deal-flow feed for under the cost of one direct-mail drop.
How much does Zillow scraping cost?
A daily run on one metro fits comfortably in the $49/mo Starter plan. Testing on the free $5 credit covers a few market pulls to validate the data.
Tools mentioned in this article
Affiliate links — we may earn a commission at no cost to you.
Apify
4.7Verified partnerWeb scraping and automation platform — Free / $49/mo Starter
Alex Mercer
AI Marketing Strategist · 8+ years
Alex has tested 200+ AI marketing tools on real campaigns with $50,000+ in ad spend. He writes hands-on reviews based on actual usage data, not press kits. His work has helped 10,000+ marketers build AI automation stacks that generate real ROI.