Zillow Scraper – Active Listings, Sold Comps & Market Stats
Pricing
from $4.00 / 1,000 results
Zillow Scraper – Active Listings, Sold Comps & Market Stats
Scrape Zillow for any US city or ZIP. Returns active listings + sold comps with price, beds, baths, sqft, and DOM — plus a MARKET_SUMMARY with median prices, sale-to-list ratio, and HOT/WARM/COOL market temperature.
Pricing
from $4.00 / 1,000 results
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Developer
Azhar Mushtaq
Maintained by CommunityActor stats
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2
Total users
1
Monthly active users
9 days ago
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Get structured real estate data for any US city, ZIP code, or neighborhood. Scrapes Zillow for active for-sale listings and recently sold comparables, then computes the market statistics that investors, agents, and analysts actually use.
What you get
Every run outputs two types of records:
LISTING records (one per property):
- Address, city, state, ZIP
- Property type (Single Family, Condo/Co-op, Townhouse, Multi-Family)
- Price, beds, baths, living area (sqft), year built, price per sqft
- Days on market (0 = listed within last 24 hours)
- Sold date (for sold comps)
- Coordinates + direct Zillow URL
MARKET_SUMMARY record (one per run):
- Median list price, average, min/max
- Median price per sqft
- Median days on market
- Price tier breakdown ($300k / $300–600k / $600k–$1M / $1M+)
- Bedroom breakdown with median price per tier
- Property type breakdown
- Sold comps stats: median sold price, sale-to-list ratio, % sold above asking
- Market temperature: HOT / WARM / COOL with a plain-English reason
Example output
{"type": "MARKET_SUMMARY","location": "Austin, Travis County","active": {"total": 40,"median_list_price": 479000,"median_price_per_sqft": 308,"median_days_on_market": 3},"sold": {"total": 38,"median_sold_price": 492000,"median_sale_to_list_ratio": 1.03,"pct_sold_above_list": 61},"market_temperature": "HOT","market_temperature_reason": "Median sale price is 3% above list; 61% of homes sold over asking."}
Who uses this
- Real estate investors — screen markets before deeper research
- Agents and brokers — pull comp data for any neighborhood in seconds
- Analysts — feed structured data into spreadsheets or dashboards
- Developers — integrate live Zillow market data into apps via the Apify API
Input
| Field | Type | Default | Description |
|---|---|---|---|
location | string | required | City, neighborhood, or ZIP: "Austin, TX", "Brooklyn, NY", "90210" |
maxListings | integer | 40 | Max active listings (Zillow returns ~40/page; use multiples of 40) |
soldWithinDays | integer | 90 | Sold comps lookback window (30–365 days) |
propertyType | select | all | all, house, condo, townhouse, multi_family |
proxyConfiguration | proxy | — | Residential proxy strongly recommended — Zillow blocks datacenter IPs |
Proxy requirement
Zillow uses IP-level blocking. A residential proxy is required for reliable results. Without one, the actor will return a 403 warning in the logs and no listings.
Typical run time
Under 30 seconds for a single page (40 listings). Multi-page runs scale linearly.