Zillow Detail Scraper

🚀 What is Zillow Detail Scraper?

Zillow Detail Scraper is an Apify Actor that turns Zillow links, plain addresses and zpids into one structured row per property. Each row holds the price, Zestimate, rent estimate, history, schools, comparable homes, agent details and rental investment figures. No Zillow account and no API key are needed.

• 📋 Bulk input. Paste home links, building links, addresses and zpids in one list, and repeated identical inputs are merged. Anyone who needs a Zillow bulk property scraper can start with a long list.
• ⚡ Live results. Each property is saved the moment it is ready, so results appear while the run is still going, and inputs that fail are saved as rows in the Failed inputs table.
• 🗂️ Section tables. Price history, tax history, schools, comparable homes, nearby homes, Zestimate history, building units and floor plans each get a table of their own. Each section table repeats the property ID, so the Zillow data extractor output can be joined in spreadsheets and databases.
• 💰 Investor figures. PITI, NOI, cap rate, cash flow, cash-on-cash return, DSCR and a 1% rule check come with assumptions you can change.
• 🔔 Change monitoring. Schedule runs and get events such as price cut, went pending, sold or back on market.

Click Try for free, paste a link, an address or a zpid, and press Start.

📊 What data can you extract from Zillow?

Every row can carry the Zillow real estate data listed below, and you can download the dataset as JSON, CSV or Excel from the Storage tab. Fields that Zillow does not show for a property stay empty, and a dash in the Example column means no example is shown for that field. Agent names, phone numbers, license numbers, profile links, photos and IDs, plus the broker phone, are left out of the examples on purpose.

Because the names match the dataset schema, a Zillow property data scraper workflow can map them to columns without renaming.

Field	Description	Example
recordType	Record kind: home or building.	home
zpid	Zillow property ID.	11026031
url	Zillow page link.	https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_z...
status	Listing status.	forSale
statusRaw	Status in Zillow's own wording.	FOR_SALE
isFsbo	Whether the home is for sale by owner.	false
isForeclosure	Whether the listing is a foreclosure.	false
isBankOwned	Whether the home is bank owned.	false
isPreforeclosure	Whether the home is in preforeclosure.	false
isAuction	Whether the home is going to auction.	false
isNewConstruction	Whether the home is new construction.	false
isComingSoon	Whether the listing is marked coming soon.	false
hasOpenHouse	Whether an open house is listed.	false
contingentType	Contingency type when the listing is contingent.	-
isZillowOwned	Whether Zillow owns the home.	false
streetAddress	Street address.	17 Zelma Dr
city	City.	Greenville
state	State.	SC
zipcode	Zipcode.	29617
county	County.	Greenville County
countyFips	County FIPS code.	45045
neighborhood	Neighborhood.	-
subdivision	Subdivision.	Oakland Heights
latitude	Latitude.	34.91575
longitude	Longitude.	-82.44426
parcelId	Parcel ID.	0429000101400
timeZone	Time zone of the property.	America/New_York
price	Price.	487500
currency	Currency of the price.	USD
pricePerSqft	Price per square foot.	189
zestimate	Zestimate.	479000
zestimateLow	Lower end of the Zestimate range.	455050
zestimateHigh	Upper end of the Zestimate range.	502950
rentZestimate	Rent estimate per month.	2699
priceVsZestimatePct	Price compared with the Zestimate, in percent.	1.77
taxAssessedValue	Tax assessed value.	491870
annualTax	Yearly property tax.	2974
propertyTaxRatePct	Property tax rate in percent.	0.51
monthlyHoa	Monthly HOA fee.	-
annualInsurance	Yearly insurance estimate.	-
zillowMonthlyCostEstimate	Estimated total monthly cost of owning the home.	3498
mortgageRate30yr	30-year mortgage rate in percent.	7.442
mortgageRateSource	Where the mortgage rate came from.	zillow-live
lastSoldPrice	Last sold price.	415000
lastSoldDate	Last sold date.	2023-07-10
homeType	Home type.	SINGLE_FAMILY
propertySubType	Property sub types.	["Single Family Residence","Residential"]
bedrooms	Bedrooms.	4
bathrooms	Bathrooms.	3
bathroomsFull	Full bathrooms.	3
bathroomsHalf	Half bathrooms.	0
livingArea	Living area.	2582
livingAreaUnits	Unit of the living area.	sqft
lotSizeSqft	Lot size in square feet.	21780
lotSizeAcres	Lot size in acres.	0.5
yearBuilt	Year built.	-
description	Description.	Location doesn't get better than this! Just steps from Furman University and ...
aiHighlights	Short highlights of the listing.	["Brick home","Large back deck","Thoughtfully renovated interiors","Remodeled kitchen","Multiple patios and decks","Stainless appliances","Tile backsplash"]
datePosted	Date the listing was posted.	2026-08-09
onMarketDate	Date the home went on the market.	2026-08-09
daysOnZillow	Days the listing has been on Zillow.	62
pageViewCount	Page views of the listing.	814
favoriteCount	Number of times the listing was saved as a favorite.	89
priceChange	Latest price change.	-7500
priceChangeDate	Date of the latest price change.	2026-09-21
sellingSoonPercentile	Selling-soon percentile shown by Zillow.	0.588
listingType	Listing type.	For Sale by Agent
buildingId	Building Id.	-
sourceListingUrl	Source listing url.	-
rentalApplicationFee	Rental application fee.	-
tourTypes	Tour types offered.	["INSTANT_BOOK"]
listingAgentName	Listing agent name.	-
listingAgentPhone	Listing agent phone.	-
listingAgentEmail	Listing agent email.	-
listingAgentLicense	Listing agent license.	-
coListingAgentName	Co listing agent name.	-
coListingAgentPhone	Co listing agent phone.	-
brokerName	Listing broker name.	Bluefield Realty Group
brokerPhone	Listing broker phone.	-
buyerAgentName	Buyer agent name.	-
buyerBrokerName	Buyer broker name.	-
mlsId	MLS ID.	1600300
mlsName	MLS name.	Greater Greenville AOR
mlsLastChecked	When the MLS record was last checked.	2026-10-10 12:53:54
mlsLastUpdated	When the MLS record was last updated.	2026-09-21 14:51:33
isMlsListing	Whether the listing comes from an MLS.	true
coListingOfficeName	Co-listing office name.	Bluefield Realty Group
coListingAgentLicense	Co listing agent license.	-
buyerAgentLicense	Buyer agent license.	-
listingAgentProfileUrl	Listing agent profile url.	-
listingAgentRating	Listing agent rating.	5
listingAgentReviewCount	Listing agent review count.	5
listingAgentRecentSales	Listing agent recent sales.	0
listingAgentPhoto	Listing agent photo.	-
listingAgentZuid	Listing agent zuid.	-
listingWebsite	Listing website.	-
listingSource	Listing source line.	Source: Greater Greenville AOR
isListedByOwner	Whether the home is listed by its owner.	false
facts	Home facts.	-
atAGlanceFacts	At-a-glance facts.	-
originalListPrice	Original list price.	495000
listedDate	Date the home was listed.	2026-08-09
lastListPrice	Latest list price.	487500
relistsInCampaign	Number of relists.	0
priceCutCount	Number of price cuts.	1
priceIncreaseCount	Number of price increases.	0
totalPriceCutPct	Total price cut in percent.	1.52
soldVsLastListPct	Sold price compared with the last list price, in percent.	-
daysListedToSold	Days from listing to sale.	-
lastPriceCutDate	Date of the last price cut.	2026-09-21
daysSinceLastPriceCut	Days since the last price cut.	19
wentPendingThenBackOnMarket	Whether the home went pending and then came back on the market.	false
timesListedLast5y	Times listed in the last 5 years.	2
timesSold	Times sold.	3
yearsSinceLastSale	Years since the last sale.	3.3
isStale	Whether the listing is marked stale.	false
comps	Comparable homes.	-
compsCount	Number of comparable homes.	5
compsMedianPrice	Median price of the comparable homes.	475000
compsMedianPricePerSqft	Median price per square foot of the comparable homes.	174.0
arvEstimate	After-repair-value estimate.	450000
discountToArvPct	Price compared with the after-repair-value estimate, in percent.	-8.33
zestimateHistory	Monthly Zestimate values.	-
zestimateChange1yPct	Zestimate change over 1 year, in percent.	2.92
zestimateChange5yPct	Zestimate change over 5 years, in percent.	33.8
zestimateChange10yPct	Zestimate change over 10 years, in percent.	155.43
marketTemperature	Local market temperature.	buyer
marketTemperatureIndex	Local market temperature index.	43.1
marketTemperatureDescription	Text description of the local market.	Sellers outnumber buyers. Listing price cuts and concessions are common, but ...
marketMedianDaysToPending	Local median days to pending.	28.0
offerStrength	Offer strength for homes for sale.	-
walkScore	Walk score.	14
transitScore	Transit score.	9
bikeScore	Bike score.	40
climateRisk	Flood, fire, heat, wind and air risk.	-
schools	Assigned and nearby schools.	-
elementarySchoolName	Elementary school name.	Duncan Chapel Elementary School
elementarySchoolRating	Elementary school rating.	3
middleSchoolName	Middle school name.	Berea Middle School
middleSchoolRating	Middle school rating.	2
highSchoolName	High school name.	Travelers Rest High School
highSchoolRating	High school rating.	5
priceHistory	Price history events.	-
taxHistory	Tax history by year.	-
nearbyHomes	Nearby homes.	-
photoCount	Number of photos.	47
mainImage	Main photo link.	https://photos.zillowstatic.com/fp/6b25775b92e69c40a67ac44e05b52dbe-p_f.jpg
photos	Photos (see the Photos input).	-
virtualTourUrl	Virtual tour link.	-
hasVideo	Whether the listing has a video.	false
openHouses	Open house events.	[]
staticMapUrl	Static map link.	https://maps.googleapis.com/maps/api/staticmap?center=34.91575,-82.44426&zoom...
investment	Rental investment figures.	-
input	The link, address or zpid you entered.	https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_z...
inputType	Kind of input: url, zpid or address.	url
isValid	True when data was found.	true
invalidReason	Reason when no data was found.	-
scrapedAt	Scraped at (ISO 8601 UTC).	2026-10-10T20:09:10Z
buildingName	Building name (building records).	-
lotId	Lot ID (building records).	-
unitCount	Unit count (building records).	-
availableUnitCount	Available units (building records).	-
unitsByStatus	Units by status (building records).	-
minRent	Lowest rent (building records).	-
maxRent	Highest rent (building records).	-
medianRentByBedrooms	Median rent by bedrooms (building records).	-
units	Units (building records).	-
floorPlans	Floor plans (building records).	-
amenities	Amenities (building records).	-
petsAllowed	Pets allowed (building records).	-
petPolicy	Pet policy (building records).	-
specialOffers	Special offers (building records).	-
isNew	New since the last run (monitor mode).	-
events	Monitor events (monitor mode).	-
changes	Monitor changes (monitor mode).	-
phone	Contact phone (building records).	-
contactName	Contact name (building records).	-
competingBuildings	Competing buildings (building records).	-
fees	Fees (building records).	-
screeningCriteria	Screening criteria (building records).	-
nearbyBuildings	Nearby buildings (building records).	-
buildingDetails	Building details (building records).	-
homeTypes	Home types (building records).	-
buildingFeatures	Building features (building records).	-
unitAmenities	Unit amenities (building records).	-
laundry	Laundry (building records).	-
neighborhoodHighlights	Neighborhood highlights (building records).	-
isTrustedListing	Trusted listing (building records).	-
isLowIncome	Low income housing (building records).	-
isSeniorHousing	Senior housing (building records).	-
isStudentHousing	Student housing (building records).	-

Section tables

A Zillow data scraper that returns history as separate rows suits analysis, and the free section tables do exactly that. Each of the eight section tables repeats propertyZpid, propertyAddress and propertyUrl so rows can be joined back to the property. The dataset schema defines no example values for these tables, so only the field names are listed.

• Price history: date, event, price, pricePerSqft, priceChangeRate, source, mlsId, sellerAgent, buyerAgent, isRental
• Tax history: year, taxPaid, assessedValue, taxIncreaseRate, valueIncreaseRate
• Schools: name, rating, level, grades, type, distanceMiles, isAssigned, district, enrollment, studentTeacherRatio, testScoresRating, link
• Comps: zpid, url, status, price, lastSoldPrice, dateSold, zestimate, bedrooms, bathrooms, livingArea, homeType, streetAddress, city, state, zipcode, image
• Nearby homes: the same fields as Comps
• Zestimate history: date, value
• Building units (building pages): lotId, zpid, unitNumber, floorPlan, status, price, requiredMonthlyFees, allInMonthlyRent, bedrooms, bathrooms, livingArea, availableNow, availableFrom, lastSoldDate, url
• Floor plans (building pages): lotId, name, bedrooms, bathrooms, livingArea, minPrice, maxPrice, leaseTerm, requiredMonthlyFees, availableNow, availableFrom, unitCount, image
• Failed inputs (a separate table, not one of the eight, with no property fields): input, inputType, invalidReason, zpid, url, candidates, scrapedAt

A SUMMARY record in the key-value store holds totals for the whole run.

💡 Use cases for Zillow data

• Rental underwriting: Screen a Zillow rental investment shortlist by sorting rows on the modelled cap rate and cash-on-cash return.
• Flip research: Open the comparable homes table when you need a Zillow comps tool for quick after-repair-value checks.
• Motivated-seller leads: Rank homes by priceCutCount, totalPriceCutPct and daysSinceLastPriceCut to catch Zillow price drops early.
• Valuation checks: Compare the Zillow rent Zestimate with your own rent comparables before you make an offer.
• Property history review: Export the Zillow price history of a home as its own table.
• Market tracking: Agents and analysts who need a Zillow home data scraper for status, price and days on market can read them from every row, and monitor mode flags new or changed properties between runs.
• Zestimate trend studies: Teams that want a Zillow Zestimate scraper get 10 years of monthly values plus the 1, 5 and 10 year change.
• Apartment research: Building records carry units, floor plans, the rent range and the pet policy, which a Zillow rental data scraper can read for apartment research.

🛠️ How to scrape Zillow property details

You can mix links, addresses and zpids in one list. That input style suits a Zillow property scraper run for one home or many.

1. Create a free Apify account.
2. Open Zillow Detail Scraper in the Apify Store.
3. Add home links, building links, addresses or zpids to Zillow links, addresses or zpids (bulk).
4. Switch on the extras you need, such as price and tax history, comparable homes or the rental investment model.
5. Set Max properties and click Start.
6. Download the dataset as JSON, CSV or Excel, or open the section tables.

Investors looking for a Zillow cap rate will find capRatePct in the investment object, and it follows your own assumptions.

How to web scrape Zillow with a link or an address

Paste a home link such as the pre-filled example, or a plain address like 18 Zelma Dr, Greenville, SC 29617, into the bulk list and press Start. Every entry becomes one row, or one entry in the Failed inputs table if no property could be found.

How to scrape Zillow data for many properties

Add one entry per line. Repeated identical inputs are merged, and each property is saved as soon as it is ready. Use Max properties to cap the run, where 0 means no cap.

How to run a Zillow address lookup

Enter addresses as 123 Main St, City, State and add the unit for apartments, for example 67 Morton St APT 6E, New York, NY. Each address is matched to one Zillow property. Minimum address match runs from 0 to 1 with a default of 0.75, and a weaker match is not guessed: it goes to the Failed inputs table with its best candidates.

How to use a Zillow zpid lookup

The zpid is the number before _zpid in a home link, for example 11026031. Paste zpids into Extra zpids or the bulk list. A Zillow zpid scraper run accepts a zpid directly, so you do not need the full link.

How to scrape building and apartment pages

Building links (/b/, /apartments/ or /community/) return one summary per building. Set Units from building pages to none, all, forRent, forSale, sold or offMarket to also open each unit, and use Max units per building to limit them, where 0 means every matching unit.

💰 How much does it cost to scrape Zillow?

Zillow Detail Scraper uses pay-per-event pricing: $1.5 per 1,000 results on the Free plan and less on paid plans, billed as the main_result event, which the Console shows as Results. A tiny Actor Start event of $0.00005 per run start is added on top.

Apify plan	Price per 1,000 results
Free	$1.5
Bronze	$1.35
Silver	$1.2
Gold / Platinum / Diamond	$1

One result is one saved property, building or unit page. The section tables and the Failed inputs table are not billed. With monitor mode on, Only new or changed skips unchanged properties and they are not billed. For example, on the Free plan 1,000 results cost about $1.5 plus the start fee.

You can try this Zillow scraper free: free-plan runs save up to 10 properties each with no monthly cap, and paid plans have no per-run limit. If you set a spend limit, the run stops cleanly when it is reached. See the Pricing tab for current rates.

⬇️ Input

Only the bulk Zillow links, addresses or zpids (bulk) list (urls) is required, and every other option has a default or can stay empty.

See the Input tab for every option. The main ones are:

Input	Default	What it does
urls	one pre-filled home link	Home links, building links, addresses or zpids, one per line.
addresses	empty	Extra addresses, one per line.
zpids	empty	Extra Zillow property IDs, one per line.
minMatchConfidence	0.75	Lowest address match accepted, from 0 to 1.
extractBuildingUnits	none	Which units to open on building pages: none, all, forRent, forSale, sold or offMarket.
maxUnitsPerBuilding	see the Input tab	Most units opened per building, where 0 means every matching unit.
includeHistory	true	Price history, tax history, schools, nearby homes, agents and foreclosure details.
includeComps	true	Comparable homes, their median price per square foot and an after-repair-value estimate.
includeZestimateHistory	true	10 years of monthly Zestimate values plus the 1, 5 and 10 year change.
includeMarketData	true	Market temperature, median days to pending and offer strength for homes for sale.
includeWalkScore	true	Walk, transit and bike scores.
includeClimateRisk	true	Flood (including FEMA zone), fire, heat, wind and air risk.
photos	urls	none, urls (largest picture and caption) or allSizes.
maxPhotos	0	Most photos per property, where 0 means all.
maxNearbyHomes	10	Most nearby homes per property, where 0 means none.
includeRawFacts	false	Adds every MLS fact Zillow shows and makes rows larger.
includeRaw	false	Adds every field Zillow returned and makes rows much larger.
investorAnalysis	true	Adds the rental investment figures for properties with a price (or Zestimate) and a rent estimate.
investorAssumptions	down payment 20, loan term 30 years, closing costs 3, rehab budget 0, vacancy 5, maintenance 8, management 8, capex 5, insurance 0.5	Your own assumptions. interestRatePct and rentOverride have no default and can stay empty.
monitor	false	Marks each property as new or changed since your last run and lists events.
monitorOnlyChanges	false	With the monitor on, saves only new or changed properties.
maxItems	10	Stops after this many saved properties, where 0 means no cap.
writeCsv	false	Also stores properties.csv in the run's storage.
concurrency	4	Properties processed at the same time.
maxConcurrentRequests	3	Parallel lookups across the whole run.
maxRetries	see the Input tab	Retries for a lookup that failed, where 0 means none.
proxyConfiguration	no proxy selected	Optional proxy settings; leave the default if you are unsure.

Example input, built from the pre-filled and default values in the input schema:

{
  "urls": [
    "https://www.zillow.com/homedetails/17-Zelma-Dr-Greenville-SC-29617/11026031_zpid/"
  ],
  "minMatchConfidence": 0.75,
  "extractBuildingUnits": "none",
  "includeHistory": true,
  "includeComps": true,
  "includeZestimateHistory": true,
  "includeMarketData": true,
  "includeWalkScore": true,
  "includeClimateRisk": true,
  "photos": "urls",
  "maxPhotos": 0,
  "maxNearbyHomes": 10,
  "investorAnalysis": true,
  "monitor": false,
  "maxItems": 10,
  "writeCsv": false,
  "concurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}

💡 Keep Max properties low for a first test run.

⚠️ Each extra switched on makes a run slower, so turn off what you do not need.

⬆️ Output

The scraped results are shown as a dataset in the Storage tab. The table view is for convenience and doesn't show all the fields.

• JSON: the full record, including the nested lists.
• CSV: from the dataset export, or as properties.csv when Also save a CSV file is on.
• Excel: use the dataset export to download Zillow data to Excel.

The row below is an example built only from the example values in the dataset schema. It continues from the example input above and is not a captured run.

{
  "recordType": "home",
  "zpid": 11026031,
  "status": "forSale",
  "streetAddress": "17 Zelma Dr",
  "city": "Greenville",
  "state": "SC",
  "zipcode": "29617",
  "county": "Greenville County",
  "price": 487500,
  "zestimate": 479000,
  "zestimateLow": 455050,
  "zestimateHigh": 502950,
  "rentZestimate": 2699,
  "priceVsZestimatePct": 1.77,
  "annualTax": 2974,
  "mortgageRate30yr": 7.442,
  "homeType": "SINGLE_FAMILY",
  "bedrooms": 4,
  "bathrooms": 3,
  "livingArea": 2582,
  "lotSizeSqft": 21780,
  "daysOnZillow": 62,
  "priceCutCount": 1,
  "totalPriceCutPct": 1.52,
  "compsCount": 5,
  "compsMedianPrice": 475000,
  "arvEstimate": 450000,
  "marketTemperature": "buyer",
  "walkScore": 14,
  "transitScore": 9,
  "bikeScore": 40,
  "elementarySchoolName": "Duncan Chapel Elementary School",
  "elementarySchoolRating": 3,
  "brokerName": "Bluefield Realty Group",
  "mlsId": "1600300",
  "inputType": "url",
  "isValid": true,
  "scrapedAt": "2026-10-10T20:09:10Z"
}

Each home gets one row like this, which suits anyone looking for a Zillow home details scraper. The Zestimate history table suits anyone who wants a Zillow value history scraper, because it holds monthly values for the last 10 years.

The Zillow tax history table lists the yearly property tax paid and the assessed value.

⚠️ Limitations and error handling

• Zillow Detail Scraper looks up the properties and buildings you name. This is not a Zillow listings scraper for whole areas, because search results are not an input.
• Free-plan runs save up to 10 properties each, and Max properties counts buildings and unit pages too.
• Fields stay empty when Zillow shows no value, and an extra section can be unavailable for some homes while the main property data is still saved.
• Only public listing data is collected. There is no access to private or logged-in data.
• A weak address match is reported in the Failed inputs table instead of being guessed.
• Results reflect what Zillow shows at the time of the run.

Inputs that return no property are written to the Failed inputs table, and the reason is in invalidReason. These are readable reasons, not numeric codes:

Reason in invalidReason	Meaning	What to do
no Zillow address matched	No property was close to the address.	Check the spelling and add city and state, or use a link or zpid.
best match ... scored ... < minMatchConfidence ...	The best candidate scored below your minimum.	Lower Minimum address match or use a link or zpid.
address lookup failed – please try again later	The address could not be looked up.	Run again later.
page request failed	The page could not be retrieved.	Run again later.
page could not be loaded – please try again later	The page could not be loaded after retries.	Run again later.
page not found — listing removed or URL invalid	The page does not exist.	Check the link.
the building / listing is no longer published	The building or listing was taken down.	Check the link on Zillow.
unrecognised page	The link is not a home or building page.	Use a home, building or apartment link.
not processed – the connection to Zillow failed	The run stopped early and this input was not processed.	Run again later.
unexpected error while reading this property	The page could not be read.	Run again, or report the input in the Issues tab.

🔌 Integrating Zillow Detail Scraper with other apps

Zillow Detail Scraper runs on Apify, so you can start it through the API, schedule it, and pass its dataset to other tools with Apify integrations and webhooks. The API tab shows ready-made JavaScript, Python and CLI snippets.

• Start runs from your own code through the Apify API and treat the Actor as a Zillow scraper API.
• Python users can start runs and read results through the Apify client.
• The finished dataset can feed dashboards and spreadsheets as a Zillow property data API.
• Schedule the Actor on Apify, and with monitor mode on it reports price cuts, pending and sold events between runs.

🔗 More Apify Actors by crawl_craft

These Actors cover other platforms and have no topical relation to Zillow Detail Scraper. They are listed only because they come from the same account.

Actor	What it extracts
Google Job Scraper	Job listings from Google Jobs with company, location, salary and apply links.
Telegram Scraper	Messages, views, reactions and subscriber counts from public Telegram channels.
Etsy Scraper	Etsy listings, shops, reviews, prices and keyword research.

⚖️ Is it legal to scrape Zillow?

Zillow Detail Scraper only collects information shown publicly on Zillow pages and does not collect data behind a login. Results can still contain personal data such as agent names, so collect it only with a legitimate reason and consider GDPR (Regulation (EU) 2016/679). Zillow web scraping can be restricted by Zillow's terms of use and by local law, so consult a lawyer if you are unsure. Apify's posts on the legality of web scraping and ethical web scraping are a good starting point.

❓ FAQ

How much does Zillow Detail Scraper cost?

It costs $1.5 per 1,000 results on the Free plan and less on paid plans (see the table in the pricing section), plus a tiny Actor Start event of $0.00005 per run start. Free-plan runs save up to 10 properties each.

Can you scrape Zillow without an account?

Yes. No Zillow account or login is needed to read the public pages this Actor uses.

Do I need a Zillow API key?

No. The Actor takes links, addresses or zpids and needs no key from Zillow, and no Zillow scraper Python script is needed to run it.

How do I export Zillow data to Excel?

Open the dataset in the Storage tab, choose the export option and pick Excel. You can also switch on Also save a CSV file for a flat properties.csv.

Can I get a Zillow Zestimate by address?

Yes. Add the address to the bulk list or to Extra addresses, and it is matched to one Zillow property. The Zestimate fields are filled when Zillow shows them for that home.

Is this a general Zillow real estate scraper?

No. Zillow Detail Scraper returns details for the links, addresses and zpids you provide and does not crawl search results.

Do I need to install this Zillow scraper tool?

No. It runs on Apify as an Apify Zillow scraper, so you start it from the Console or the API and download the results.

How many properties can I scrape?

Max properties sets the cap, and 0 means no cap. Free-plan runs stop at 10 properties, and paid plans have no per-run limit.

Do I need proxies?

Proxy settings are optional. Leave the default if you are unsure.

Can I scrape private data?

No. Only public listing data is collected.

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