Zillow Scraper: listings, property details, agents, price and tax history

Zillow Scraper turns any Zillow search, address or listing URL into clean structured records. Search by city, ZIP or neighborhood with the filters Zillow itself offers, paste a Zillow search URL exactly as it appears in your browser, look up properties by street address, or chain a dataset of results into full property details. No login, no cookies, no API key.

It covers all three markets (for sale, for rent, recently sold), returns the listing agent with phone and license number, the broker, the MLS id, the full price history and tax history, schools, parcel id, page views, favorites, mortgage rates and photos, and can expand apartment buildings into one row per unit. A built-in monitor returns only listings you have not seen before, so a daily schedule becomes a new-listing feed.

Price: $0.80 per 1,000 rows plus a $0.001 start fee. A row with full agent, tax and price history costs the same as a search card.

What you can do with it

Goal	Input to use
Listings in a city, ZIP or neighborhood	searchQuery or searchQueries plus filters
Reproduce a search you built on zillow.com	paste the URL into startUrls
Look up specific properties by address	addresses
Full detail records for known Zillow listing URLs	startUrls with /homedetails/ links
Every unit in an apartment building	building URL plus extractBuildingUnits
Enrich search results with agent, tax and price history	fetchDetails: true
Enrich a dataset from an earlier run	searchResultsDatasetId
Get only listings that appeared since the last run	onlyNew: true and a monitorId
Bulk input from a spreadsheet	listUrl (CSV, TXT or Google Sheet)

Output: four kinds of rows

Every row has a recordType so you can tell them apart.

recordType	What it is
listing	One card from a search result (price, address, beds, baths, sqft, status, days on Zillow, photo, URL)
property	One property with the full record: agent, broker, MLS, history, schools, facts. Returned for addresses, /homedetails/ URLs, dataset chaining and search rows when fetchDetails is on
unit	One unit of an apartment building or condo complex (unit number, rent or price, beds, baths, sqft, availability, floor plan, deposit, pets)
building	The building summary (name, address, phone, floor plans, amenities, pet policy, walk, transit and bike scores)

Search card fields (listing)

Field	Example
zpid	"29388433"
statusType, statusText, listingSubType	"FOR_SALE", "Active", "For Sale by Agent"
price, priceText	485000, "$485,000"
zestimate, rentZestimate, taxAssessedValue	null, null, 417445
address, street, city, state, zipcode	"1905 E 18th St, Austin, TX 78702"
latitude, longitude	30.2787, -97.7204
beds, baths, livingAreaSqft	2, 1, 900
lotAreaValue, lotAreaUnit	3920.4, "sqft"
homeType, homeStatus	"SINGLE_FAMILY", "FOR_SALE"
daysOnZillow, timeOnZillowText, listedAt	0, "2 minutes ago", "2026-10-21"
pricePerSqft, priceChange, datePriceChanged	539, null, null
brokerName	"Beycome Brokerage Realty LLC"
isZillowOwned, has3DTour, isFeatured	false
imageUrl, detailUrl	listing photo and Zillow page
searchQuery, scrapedAt	"Austin, TX", ISO timestamp

Rental cards also carry baseRent, availabilityDate, specialOffer and unitCount where Zillow shows them.

Property detail fields (property, or listing with fetchDetails)

Group	Fields
Listing agent	agentName, agentPhone, agentLicense, agentEmail (only when Zillow publishes it)
Co-agent	coAgentName, coAgentPhone, coAgentLicense
Broker	brokerName, brokerPhone
MLS	mlsId, mlsName, listingAgents[], listingOffices[], listingLastUpdated
Price history	priceHistory[] with date, price, event, source, pricePerSqft, priceChangeRate; also listedDate, lastPriceCut, lastSoldPrice
Tax history	taxHistory[] with year, date, taxPaid, assessedValue, taxIncreaseRate, valueIncreaseRate
Parcel and area	parcelId, county, countyFIPS, neighborhood
Demand signals	pageViewCount, favoriteCount
Costs	monthlyHoaFee, hoaFee, propertyTaxRate, annualHomeownersInsurance, mortgageRates (30-year fixed, 15-year fixed, 5/1 ARM)
Schools	schools[] with name, rating, grades, distanceMiles, link
Description and facts	description, yearBuilt, homeType, facts{} (all of Zillow's property facts), appliances, cooling, heating, flooring, parkingFeatures, laundryFeatures
Media	photos[] (up to 50 full-size URLs), photoCount, virtualTourUrl, floorPlanUrl
Nearby	nearbyHomes[] (up to 10, with zpid, price, beds, baths, address)
Rentals	leaseTerm, depositsAndFees, applicationFee, rentalFees{}, petsAllowed, allowedPets, petPolicyText, specialOffers[]
Address lookup	input, inputAddress, matchedAddress show which input produced the row
Source	detailsSource (graphql or page), detailsFetched

A real address lookup row

Input 67 Morton St #6E, New York, NY 10014, abbreviated, values as returned:

{
  "recordType": "property",
  "zpid": "72537851",
  "statusType": "FOR_SALE",
  "price": 1550000,
  "address": "67 Morton St APT 6E, New York, NY 10014",
  "beds": 2,
  "baths": 1,
  "homeType": "CONDO",
  "yearBuilt": 1924,
  "daysOnZillow": 35,
  "hoaFee": "$1,765 monthly",
  "monthlyHoaFee": 1765,
  "agentName": "Deanna Lloyd",
  "agentPhone": "757-572-0107",
  "agentLicense": "10401270268",
  "brokerName": "Brown Harris Stevens",
  "mlsId": "S1847856",
  "mlsName": "StreetEasy",
  "county": "New York County",
  "neighborhood": "West Village",
  "pageViewCount": 747,
  "favoriteCount": 35,
  "mortgageRates": { "thirtyYearFixed": 7.583, "fifteenYearFixed": 7.438, "arm5": null },
  "priceHistory": [
    { "date": "2026-09-16", "price": 1550000, "event": "Listed for sale", "source": "StreetEasy", "priceChangeRate": -0.0606 },
    { "date": "2026-07-31", "price": 1650000, "event": "Listing removed", "source": "StreetEasy", "priceChangeRate": 0 }
  ],
  "schools": [
    { "name": "Ps 3 Charrette School", "rating": 6, "grades": "PK-5", "distanceMiles": 0.1 }
  ],
  "detailUrl": "https://www.zillow.com/homedetails/67-Morton-St-APT-6E-New-York-NY-10014/72537851_zpid/"
}

A real search card (listing)

{
  "recordType": "listing",
  "zpid": "29388433",
  "statusType": "FOR_SALE",
  "statusText": "Active",
  "listingSubType": "For Sale by Agent",
  "price": 485000,
  "priceText": "$485,000",
  "taxAssessedValue": 417445,
  "address": "1905 E 18th St, Austin, TX 78702",
  "latitude": 30.2787,
  "longitude": -97.7204,
  "beds": 2,
  "baths": 1,
  "livingAreaSqft": 900,
  "lotAreaValue": 3920.4,
  "lotAreaUnit": "sqft",
  "homeType": "SINGLE_FAMILY",
  "daysOnZillow": 0,
  "timeOnZillowText": "2 minutes ago",
  "brokerName": "Beycome Brokerage Realty LLC",
  "listedAt": "2026-10-21",
  "pricePerSqft": 539,
  "detailUrl": "https://www.zillow.com/homedetails/1905-E-18th-St-Austin-TX-78702/29388433_zpid/",
  "searchQuery": "Austin, TX"
}

A real building unit (unit)

{
  "recordType": "unit",
  "zpid": "466040793",
  "unitNumber": "Unit 00A-A104",
  "statusType": "FOR_RENT",
  "price": 2206,
  "baseRent": 2206,
  "beds": 0,
  "baths": 1,
  "livingAreaSqft": 405,
  "floorPlanName": "S1",
  "availabilityDate": "now",
  "depositsAndFees": 500,
  "allowedPets": ["Cats"],
  "monthlyFeesMin": 93,
  "monthlyFeesMax": 93,
  "buildingName": "AVA Pacific Beach",
  "buildingZpid": "465266495",
  "street": "3883 Ingraham St",
  "city": "San Diego",
  "state": "CA",
  "zipcode": "92109"
}

Input guide

1. Search by location

{ "searchQuery": "Austin, TX", "listingType": "forSale", "maxItems": 50 }

Use searchQueries for a list of locations in one run (ZIP codes, cities, neighborhoods, counties). maxItems applies to each location. Every row carries the searchQuery it came from.

With no input at all the actor returns a 10-listing sample for Austin, TX, so a bare test run always shows real data.

2. Paste a Zillow search URL

Set filters on zillow.com (map area, price, beds, home type, anything), copy the address bar, and paste it:

{ "startUrls": [{ "url": "https://www.zillow.com/homes/for_rent/?searchQueryState=..." }], "maxItems": 100 }

The filters in the URL are replayed as they are, so the results match what you saw in the browser. Verified with a rental search capped at $3,000 and 2+ bedrooms: the filters were honored. You can mix search URLs, property URLs and building URLs in the same list. searchUrls is accepted as an alias of startUrls.

3. Look up addresses

{ "addresses": ["17199 Park Ave, Sonoma, CA 95476", "67 Morton St #6E, New York, NY 10014"] }

Each address is matched to its Zillow property and returned as one full property row. Add the unit for apartments and condos (#6E, Apt 2); without a unit the whole-property match is used. An address Zillow cannot match produces no row, no charge, and a not_found entry in the run's OUTPUT record.

4. Property detail pages

{ "startUrls": [{ "url": "https://www.zillow.com/homedetails/1905-E-18th-St-Austin-TX-78702/29388433_zpid/" }] }

Every /homedetails/ URL returns its full record. detailUrls (older input) still works and does the same.

5. Full filter set

Input	Meaning
listingType	forSale, forRent, sold
sortBy	days, priceLowToHigh, priceHighToLow, newest, beds, baths, sqft, lotSize, relevance
minPrice, maxPrice	Price, or monthly rent for rentals
minBeds, maxBeds	0 includes studios
minBaths, maxBaths	Halves allowed
minSqft, maxSqft	Living area
minLotSize, maxLotSize	Square feet (1 acre = 43,560)
minYearBuilt, maxYearBuilt	Year built
maxHoa	Monthly HOA cap, 0 for no HOA
homeTypes	houses, townhomes, condos/co-ops, multi-family, apartments, lots/land, manufactured
saleStatus	by agent, by owner (FSBO), new construction, foreclosure, auction, coming soon, pending, accepting backup offers
soldInLastDays	7, 30, 90, 180, 365, 1095 (recently sold only)
daysOnZillow	1, 7, 14, 30, 90, 6m, 12m, 24m, 36m
features	pool, A/C, waterfront, basement, garage, single story, city, water, park or mountain view, 3D tour, open house
rentalFeatures	large dogs, small dogs, cats, in-unit laundry, on-site parking, accepts online applications, income restricted, entire place, room for rent
keywords	free text such as casita, no hoa, workshop

Example, new construction houses with a pool under $900,000, newest first:

{
  "searchQuery": "Phoenix, AZ",
  "listingType": "forSale",
  "homeTypes": ["house"],
  "saleStatus": ["newConstruction"],
  "features": ["pool"],
  "maxPrice": 900000,
  "sortBy": "newest",
  "maxItems": 100
}

Zillow shows about 820 results for any one search. To go deeper, split the search by ZIP code or narrow the price range.

6. Apartment buildings: extractBuildingUnits

Apartment communities and condo complexes appear on Zillow as one card. By default you get one building row. Set extractBuildingUnits to return one row per unit instead:

Value	Rows returned
disabled	One row per building (default)
all	Every unit
for_rent	Units for rent
for_sale	Units for sale
recently_sold	Recently sold units
off_market	Off-market units

It works for building URLs (/b/... or /apartments/...) and for building cards found inside a search. Unit rows show unit number, rent or price, beds, baths, sqft, availability date, floor plan, deposit, monthly fees, pet rules and the building's special offers.

Building pages are Zillow's most protected surface. They are occasionally refused; the actor retries with a fresh session several times. If a building page still cannot be loaded inside a search, you get the building card instead of its units, so you never lose the result. Units expanded from a search card are the building's units for the status you chose; they are not re-filtered by the search's price or bed filters.

7. Enrich search results: fetchDetails

{ "searchQuery": "92109", "listingType": "forSale", "maxItems": 20, "fetchDetails": true }

Each search row gets the full property record (agent, MLS, tax and price history, schools, and the rest). It costs a little more time per listing, not more money: the price per row stays the same.

8. Dataset chaining: searchResultsDatasetId

Run a search first, then pass its dataset id:

{ "searchResultsDatasetId": "YOUR_DATASET_ID" }

Every row that has a property URL or zpid (fields detailUrl, url, propertyUrl, hdpUrl or zpid) is fetched with full details. It works with the output of this actor and of other Zillow actors.

9. Only new listings (monitor)

{ "searchQuery": "Austin, TX", "daysOnZillow": "1", "onlyNew": true, "monitorId": "austin-new" }

The actor remembers every listing it returned under that monitor name and returns only listings it has not delivered before. Schedule the actor daily and you get a feed of new listings. Use a different monitorId for each saved search. The run summary reports how many already-seen listings were skipped. You are charged only for the rows returned.

10. Bulk input from a file: listUrl

Link to a CSV, TXT or Google Sheet (shared as "anyone with the link") with one entry per line: street addresses, ZIP codes or cities, and Zillow URLs can be mixed. A header row is skipped; a column named address, url, zip, location or query is used if present, otherwise the first column.

Other inputs

Input	Meaning
maxItems	Maximum rows per location, search URL or building. Default 10, maximum 820. Addresses and property URLs are always all returned
propertyStatus	Optional hint (FOR_SALE, FOR_RENT, RECENTLY_SOLD) for addresses and URLs. Status is detected automatically, so you rarely need it
datasetName	Write results to a named dataset in your account instead of the run's default dataset
proxyConfiguration	Defaults to Apify residential proxy in the US. Zillow blocks datacenter IPs, so leave it on

Run summary

Each run saves an OUTPUT record in the default key-value store with the number of rows, the targets processed, which targets failed and why (not_found, failed), and, for monitors, the number of skipped already-seen listings. A failed target never discards the rows that succeeded.

Use cases

• Lead generation for agents and lenders. Pull recently listed or price-cut homes with the listing agent's name, phone and license number.
• Investor deal flow. Filter by foreclosure, auction, FSBO, coming soon or days on Zillow, then enrich with tax history, price history and parcel id.
• Comparable sales. Run listingType: sold with soldInLastDays for a ZIP, then add details for the sold price history.
• Rental market analysis. Pull rents by ZIP and bedroom count, expand buildings to unit level with extractBuildingUnits, and track specials, deposits and pet rules.
• Portfolio and address enrichment. Feed a spreadsheet of addresses through listUrl and get parcel id, county, tax history, page views and MLS id for each.
• AI agents. Call the actor from an MCP-enabled assistant to answer questions about listings, rents and agents with live data.

Pricing

This actor uses pay-per-event pricing.

Event	Price
Actor start (once per GB of memory, 1 GB here)	$0.001
Each row returned	$0.0008

Rows	Cost
100	$0.081
1,000	$0.801

Full property records, unit rows and building rows cost the same as search cards. Rows you do not receive are not charged: unmatched addresses and already-seen monitor listings cost nothing.

Using the data

API (Python):

from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run = client.actor("fortuitous_pirate/zillow-listings-scraper").call(run_input={
    "searchQuery": "92109",
    "listingType": "forRent",
    "maxItems": 50,
    "fetchDetails": True,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(row["address"], row["price"], row.get("agentName"), row.get("agentPhone"))

API (JavaScript):

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('fortuitous_pirate/zillow-listings-scraper').call({
    addresses: ['17199 Park Ave, Sonoma, CA 95476'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items[0].taxHistory);

Schedules and webhooks. Schedule a monitor daily in Apify Console and add a webhook to receive the dataset.

No-code tools. The actor works with Make, Zapier, n8n and Google Sheets through the Apify integrations. Export results as JSON, CSV, Excel or XML from the dataset page.

MCP. The actor can be called as a tool from MCP-compatible AI assistants through the Apify MCP server.

Limits and good to know

• About 820 results per search. That is Zillow's own cap. Split large areas by ZIP code, price band or home type.
• Agent email is often empty. Zillow shows an agent's email only on some listings (mostly not on MLS-fed listings), so agentEmail is frequently null. Name, phone and license are the dependable contact fields.
• Some fields depend on the listing. Rental fields (specials, lease term, fees, pet policy) are filled for rentals; taxHistory and parcelId depend on what the county and MLS publish. Missing values are null, never invented.
• Zestimate fields are returned when Zillow includes them in the data and are null otherwise.
• Building pages are occasionally refused by Zillow and retried with a new session. If one cannot be loaded, the building card is returned instead.
• Residential proxy is used. Zillow rejects datacenter traffic. The default proxy setting is correct; do not switch to a datacenter group.
• If Zillow changes its site, the actor re-reads the current page definitions and retries before falling back to the property page, and detailsSource tells you which path produced the row.

FAQ

Do I need a Zillow account or cookies? No.

Can I scrape rentals and sold homes? Yes. Set listingType to forRent or sold.

How do I get the listing agent's phone number? Use addresses, /homedetails/ URLs or fetchDetails: true. The agentPhone and agentLicense fields are filled when Zillow shows them.

Can I paste a search URL from my browser? Yes, in startUrls, with all the filters you set on zillow.com.

How do I get only new listings? Turn on onlyNew and give the search a monitorId, then schedule the actor.

How do I get unit-level data for an apartment building? Pass the building URL and set extractBuildingUnits to for_rent, for_sale, all, and so on.

Is this legal? The actor collects publicly visible listing data. You are responsible for using it in line with Zillow's terms, applicable law and data-protection rules, especially when you use agent contact details for outreach.

Something looks wrong in a run. Open an issue on the actor page with the run link. Zillow changes its site often.