Zillow API
Property listings, price history and market metrics.
Why teams scrape Zillow
Zillow holds some of the most commercially useful public data on the web, and almost none of it is available through a stable official feed at the volume real products need. Rate limits, partner-only access and shifting page structures mean teams either give up on the source or maintain a fragile scraper that breaks every few weeks.
Residential listing data drives valuation models, investor screening and market reports, but portal access is restricted to partners and structures change frequently.
Irmu removes the infrastructure question entirely. One authenticated request handles proxy selection, browser rendering, anti-bot challenges and retries, and AI Extract turns the resulting page into validated JSON against a schema you define. You get address, price, beds, baths, sqft, lot_size, year_built, days_on_market, price_history, agent without writing or maintaining a single selector, and the same endpoint, quota and observability model you already use for every other source.
What it powers
Automated valuation
Train and refresh AVMs on current inventory.
Investor screening
Filter markets by price-per-sqft and days-on-market trends.
Market reporting
Publish monthly metrics by metro and property type.
Lead sourcing
Identify agents with growing listing volume.
Fields available
Everything below comes back typed and validated against your schema.
address
Full property address
price
List price
beds
Bedroom count
baths
Bathroom count
sqft
Interior square footage
lot_size
Lot area
year_built
Construction year
days_on_market
Time since listing
price_history
Prior listings and price changes
agent
Listing agent and brokerage
One call, no selectors
curl -X POST https://app.irmu.com/api/extract \
-H "Authorization: Bearer irmu_sk_live_..." \
-H "Content-Type: application/json" \
-d '{
"url": "https://www.zillow.com/naples-fl/",
"schema": {
"address": "string",
"price": "string",
"beds": "string",
"baths": "string",
"sqft": "string",
"lot_size": "string"
}
}'Validated JSON
{
"data": {
"address": "5437 Cove Cir, Naples, FL 34119",
"price": 895000,
"beds": 4,
"baths": 3,
"sqft": 2740,
"days_on_market": 18
},
"credits_used": 20,
"status": 200
}Copy, paste, ship
import requests
res = requests.post(
"https://app.irmu.com/api/extract",
headers={"Authorization": "Bearer irmu_sk_live_..."},
json={
"url": "https://www.zillow.com/naples-fl/",
"schema": {
"address": "string",
"price": "string",
"beds": "string",
"baths": "string"
},
},
)
data = res.json()["data"]
print(data)Simple credits
Per listing page
20 credits
Failed requests are retried automatically and never billed.
See full pricing →Zillow API questions
Start extracting Zillow data today
1,000 free credits every month. No card, no sales call.