Realtor Auction Property Scraper

Auction and distressed homes on Realtor.com move fast, and digging them out by hand means clicking through page after page. This scraper hands you the whole pool at once. Set a location and a few filters, and every matching auction listing comes back as a clean row: asking price, full address, beds and baths, lot size, agent contacts, and the auction flag already split into fields you can sort in a spreadsheet. It runs fast, costs little, needs no code, and you only pay for what you pull.

What you get

Each property comes back as one row, grouped into a few kinds of data:

• Identity and link — propertyId, listingId, listingUrl, listingStatus, sourceName
• Price and history — askingPrice, soldPrice, priceCutAmount, listedDate, soldDate
• Property facts — propertyKind, propertySubKind, bedroomCount, bathroomLabel, livingAreaSqft, lotAreaSqft, builtYear, garageSpaces
• Location — streetAddress, cityName, stateName, stateCode, postalCode, countyName, lat, lng
• Flags — isAuction, isComingSoon, isNewListing, isPriceReduced, isNewConstruction, isPending, isContingent
• Media — coverImage, photoCount, imageLinks, streetViewUrl
• Agents — primaryAgentName, primaryAgentEmail, primaryAgentPhones, secondaryAgentName, plus office and branding names

Quick start

1. Decide where to look, then fill in a location filter: a postalCode, a cityName plus stateCode, a stateCode on its own, or an addressLine.
2. Add optional filters if you want a tighter set: propertyCategories, a price range with listPriceMin and listPriceMax, bedroomsMin, and so on.
3. Set resultsLimit to cap how many listings you collect and keep spend predictable.
4. Press Start, then export the dataset as JSON, CSV, Excel, or XML.

Use cases

• Investors hunting auction and distressed stock can pull a whole metro in one run and score it against their buy box.
• Wholesalers and flippers can watch priceCutAmount and isPriceReduced to catch motivated sellers early.
• Real estate agents can size up auction inventory in their farm area and reach out using the agent contact fields.
• Data and analytics teams can feed structured price, size, and location data into dashboards or valuation models.
• Lenders and title firms can build county-level datasets keyed on countyName and countyFips.

Input

Field	Type	Required	Description
postalCode	string	No	Pin results to one 5-digit US ZIP code. Example 33139.
stateCode	string	No	Search a whole state by 2-letter code. Example AZ.
cityName	string	No	Match an exact city, best paired with a state code. Example Phoenix.
streetName	string	No	Limit results to a named street.
addressLine	string	No	Look up one precise address line.
propertyCategories	array of strings	No	Keep only chosen property kinds, e.g. single_family, multi_family.
featureTerms	array of strings	No	Restrict to listings with given amenities, e.g. pool, waterfront.
bedroomsMin	integer	No	Lowest bedroom count to accept.
bedroomsMax	integer	No	Highest bedroom count to accept.
bathroomsMin	integer	No	Lowest bathroom count, half-baths included.
bathroomsMax	integer	No	Highest bathroom count to accept.
listPriceMin	integer	No	Floor for the asking price in USD.
listPriceMax	integer	No	Ceiling for the asking price in USD.
soldPriceMin	integer	No	Floor for the recorded sold price in USD.
soldPriceMax	integer	No	Ceiling for the recorded sold price in USD.
yearBuiltMin	integer	No	Earliest construction year to include.
yearBuiltMax	integer	No	Latest construction year to include.
hoaFeeMax	integer	No	Highest monthly HOA fee to allow.
pageSize	integer	No	Listings pulled per API call. Default 150.
startOffset	integer	No	Zero-based index where paging begins. Default 0.
resultsLimit	integer	No	Cap on total listings collected across all pages. Default 3000.
runTimeoutSeconds	integer	No	Whole-run timeout in seconds; the run exits cleanly once it passes. Default 420.
timeoutSeconds	integer	No	Per-request timeout in seconds. Default 45.
proxyConfiguration	object	No	Proxy settings; defaults to US datacenter proxies.

Example input

{
    "stateCode": "AZ",
    "cityName": "Phoenix",
    "propertyCategories": ["single_family", "multi_family"],
    "featureTerms": ["pool", "waterfront"],
    "bedroomsMin": 2,
    "bedroomsMax": 4,
    "listPriceMin": 150000,
    "listPriceMax": 750000,
    "yearBuiltMin": 2010,
    "resultsLimit": 3000,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyCountry": "US" }
}

Output

Every auction property that matches your filters becomes one row, paged automatically up to your resultsLimit. Fields the source does not publish for a given property come back as null rather than guessed.

Example output

{
    "listingAttribution": "Listing courtesy of Desert Sky Realty",
    "propertyId": "9418273650",
    "listingId": "2937164850",
    "listingUrl": "https://www.realtor.com/realestateandhomes-detail/M9418273650",
    "listingStatus": "for_sale",
    "askingPrice": 415000,
    "soldPrice": null,
    "priceCutAmount": 15000,
    "listedDate": "2026-06-18",
    "soldDate": "",
    "propertyKind": "single_family",
    "propertySubKind": "",
    "bedroomCount": 3,
    "bathroomLabel": "2.5",
    "livingAreaSqft": 1840,
    "lotAreaSqft": 6500,
    "builtYear": 2014,
    "garageSpaces": 2,
    "streetAddress": "2417 W Desert Cove Ave",
    "cityName": "Phoenix",
    "stateName": "Arizona",
    "stateCode": "AZ",
    "postalCode": "85029",
    "lat": 33.5921,
    "lng": -112.1083,
    "countyName": "Maricopa",
    "countyFips": "04013",
    "streetViewUrl": "https://maps.googleapis.com/maps/api/streetview?location=33.5921,-112.1083",
    "coverImage": "https://ap.rdcpix.com/example/cover-l.jpg",
    "photoCount": 28,
    "imageLinks": [
        "https://ap.rdcpix.com/example/photo-1.jpg",
        "https://ap.rdcpix.com/example/photo-2.jpg"
    ],
    "hasMatterport": false,
    "isComingSoon": false,
    "isNewListing": true,
    "isPriceReduced": true,
    "isNewConstruction": false,
    "isPending": false,
    "isContingent": false,
    "isAuction": true,
    "isFractionallyOwned": false,
    "sourceId": "ARMLS",
    "sourceName": "Arizona Regional MLS",
    "sourceType": "mls",
    "sourceListingId": "6738291",
    "showContactAgent": true,
    "marketType": "for_sale",
    "leadType": "auction",
    "isVaEligible": false,
    "productList": ["core.agent", "core.broker"],
    "brandName": "Essentials",
    "primaryAgentType": "seller",
    "primaryAgentName": "Maria Alvarez",
    "primaryAgentEmail": "maria@desertskyrealty.com",
    "primaryAgentOffice": "Desert Sky Realty",
    "primaryAgentPhones": ["6025550148"],
    "secondaryAgentType": null,
    "secondaryAgentName": null,
    "secondaryAgentEmail": null,
    "secondaryAgentOffice": null,
    "secondaryAgentPhones": [],
    "brandingName": "Desert Sky Realty",
    "searchPromotions": [],
    "communityPromotions": [],
    "openHouses": [],
    "collectedAt": "2026-06-29T12:00:00.000000+00:00",
    "errorMessage": null
}

Output fields

Field	Type	Description
listingAttribution	string	Attribution text the source feed requires
propertyId	string	Stable internal identifier for the property
listingId	string	Identifier for this specific listing record
listingUrl	string	Permalink path to the property detail page
listingStatus	string	Current market state, e.g. for_sale
askingPrice	integer	Current advertised price in USD
soldPrice	integer	Final sale price when the property has closed
priceCutAmount	integer	Dollar amount of the latest price reduction
listedDate	string	Date the listing was published
soldDate	string	Date the sale closed, when applicable
propertyKind	string	Broad property type such as single_family
propertySubKind	string	Finer property classification when available
bedroomCount	integer	Number of bedrooms
bathroomLabel	string	Consolidated bathroom figure, e.g. 2.5
livingAreaSqft	integer	Indoor living space in square feet
lotAreaSqft	integer	Lot size in square feet
builtYear	integer	Year construction was completed
garageSpaces	integer	Number of garage parking spaces
streetAddress	string	Street line of the property address
cityName	string	City or town
stateName	string	Full state name
stateCode	string	Two-letter state abbreviation
postalCode	string	Postal or ZIP code
lat	number	Latitude of the property
lng	number	Longitude of the property
countyName	string	County the property belongs to
countyFips	string	FIPS code of the county
streetViewUrl	string	Link to a street-level view
coverImage	string	URL of the primary listing photo
photoCount	integer	Number of photos on the listing
imageLinks	array	Collection of listing photo URLs
hasMatterport	boolean	True when a Matterport 3D tour exists
isComingSoon	boolean	True when flagged as coming soon
isNewListing	boolean	True when posted within the last two weeks
isPriceReduced	boolean	True when the price dropped in the last 30 days
isNewConstruction	boolean	True for newly built homes
isPending	boolean	True when the sale is pending
isContingent	boolean	True when the offer is contingent
isAuction	boolean	True when the property sells at auction
isFractionallyOwned	boolean	True for fractional-ownership listings
sourceId	string	Identifier of the listing source feed
sourceName	string	Name of the listing source
sourceType	string	Type of the listing source
sourceListingId	string	Listing identifier within the source feed
showContactAgent	boolean	True when a contact-an-agent option is offered
marketType	string	Market classification reported for the lead
leadType	string	Category of lead the listing supports
isVaEligible	boolean	True when flagged Veterans United eligible
productList	array	Marketing products tied to the listing
brandName	string	Brand attached to the listing products
primaryAgentType	string	Role of the first advertiser
primaryAgentName	string	Name of the first advertiser or agent
primaryAgentEmail	string	Email of the first agent when shared publicly
primaryAgentOffice	string	Office or brokerage of the first agent
primaryAgentPhones	array	Listed phone numbers for the first agent
secondaryAgentType	string	Role of the second advertiser
secondaryAgentName	string	Name of the second advertiser or agent
secondaryAgentEmail	string	Email of the second agent when shared publicly
secondaryAgentOffice	string	Office or brokerage of the second agent
secondaryAgentPhones	array	Listed phone numbers for the second agent
brandingName	string	Branding label shown on the listing
searchPromotions	array	Promotional placements returned with the listing
communityPromotions	array	Community-level promotions on the property
openHouses	array	Scheduled open house dates and times
collectedAt	string	ISO 8601 timestamp of when the row was captured
errorMessage	string	Reason a row failed to parse; null on success

Tips for best results

• Start with one location filter. A postalCode, or a cityName with a stateCode, gives you the tightest, cleanest set. A bare stateCode casts a wide net.
• Layer filters to cut noise. Combine price bands, propertyCategories, and bedroom or bathroom ranges to skip listings you would only delete later.
• Use resultsLimit on test runs. Try a small cap first to confirm the fields fit your pipeline, then raise it for the full pull.
• Keep US datacenter proxies on. They are the default and handle most runs. If responses start failing, switch to residential proxies.
• Raise timeoutSeconds when large result sets show timeout errors, and lift runTimeoutSeconds if a big pull is getting cut short.
• Expect some sparse fields. A second agent or open house data is not always present, so those fields can be null while the rest of the row stays complete.

How can I use Realtor auction property data?

How can I use the Realtor Auction Property Scraper to find distressed homes for investment? Set your target market with stateCode and cityName, then filter on price with listPriceMin and listPriceMax. Every row carries isAuction, askingPrice, priceCutAmount, and the full address, so you can rank distressed and below-market candidates against your own buy criteria and export the shortlist to CSV.

How can I scrape Realtor.com auction listings by ZIP code? Drop a postalCode into the input and run it. The scraper pages through all matching listings up to your resultsLimit and returns address, beds, baths, lot size, and agent contacts as structured fields, which beats copying details off the site one property at a time.

How can I build a real estate auction dataset for a dashboard? Feed in one or more location filters, set resultsLimit to the volume you need, and export to JSON or Excel. You get a clean property database keyed on propertyId with price, size, location, and countyFips, ready to load into a BI tool or valuation model and refresh on a schedule.

How can I track price reductions on Realtor.com auctions? Run the scraper on a recurring schedule for your area and watch isPriceReduced and priceCutAmount across runs. Pair them with listedDate and listingStatus to spot motivated sellers the day their price drops.

Is it legal to scrape data?

Our actors are ethical and do not extract any private user data, such as email addresses or private contact information. They only extract what the user has chosen to share publicly. We therefore believe that our actors, when used for ethical purposes by Apify users, are safe.

However, you should be aware that your results could contain personal data. Personal data is protected by the GDPR in the European Union and by other regulations around the world. You should not scrape personal data unless you have a legitimate reason to do so. If you're unsure whether your reason is legitimate, consult your lawyers.

You can also read Apify's blog post on the legality of web scraping.

Support

Questions, feature requests, or a field you'd like added? Reach out at data.apify@proton.me and we'll get back to you.