Foreclosed Properties List: Find Distressed Deals and Bank-Owned Homes

Access an up-to-date foreclosed properties list with a few simple parameters. Finding distressed properties usually involves paying high monthly subscriptions to niche real estate platforms or manually digging through county records. We built this tool to pull active foreclosures directly into a clean, structured JSON format so you can run your own analysis.

Instead of navigating clunky interfaces, you type in a zip code or state, and get back exactly what properties are currently in foreclosure or recently sold.

Use cases

• Wholesaling: pull a fresh foreclosed properties list for a specific zip code to target distressed sellers.
• Investment analysis: export recent sold properties to accurately build a Comparative Market Analysis without manual data entry.
• Lead generation: extract direct agent contact details representing bank-owned properties.
• Market monitoring: run automated daily checks for new foreclosures entering the market in your target neighborhoods.

Input Parameters

Parameter	Type	Default	Description
postal_code	string	—	US ZIP code. Most precise location filter. Example: 90210.
state_code	string	—	2-letter US state code. Example: TX.
city	string	—	City name. Example: Houston.
propertyType	array	—	Property types. Options: single_family, condo_townhome, etc.
beds_min / beds_max	integer	—	Filter by bedroom count.
list_price_min / max	integer	—	Active asking price range in USD.
sold_price_max	integer	—	Max sold price (only applies to sold properties).
maxItems	integer	5000	Total maximum properties to extract per run.
proxyConfiguration	object	Datacenter	Proxy settings to use for requests. Leave as default unless experiencing blocking.

Example Input

This example pulls a foreclosed properties list in Texas, specifically single-family homes under $300,000.

{
    "state_code": "TX",
    "propertyType": ["single_family"],
    "list_price_max": 300000,
    "maxItems": 200,
    "proxyConfiguration": {
        "useApifyProxy": true,
        "apifyProxyCountry": "US"
    }
}

Output Fields Explained

The actor outputs flattened, easy-to-use JSON objects for each property.

Field	Type	Description
property_id	string	Internal permanent identifier for the listing
listing_id	string	Internal listing ID associated with the property source
permalink	string	The direct slug for the listing (useful to build relative URLs)
status	string	Either for_sale or sold
list_price	integer	The current asking price in USD
sold_price	integer	Final sold price in USD (only applicable if sold)
price_reduced_amount	integer	Amount the property has been discounted
list_date	string	The ISO 8601 date the listing hit the market
sold_date	string	The ISO 8601 date the listing closed (if applicable)
type / sub_type	string	Classification of property (single_family, condo, etc.)
beds / baths_consolidated	integer	Bedroom and bathroom counts
sqft	integer	Total interior square footage
lot_sqft	integer	Total exterior land square footage
year_built	integer	The year the property was originally constructed
garage	integer	Number of garage spaces
address_line	string	The full street address of the property
city / state / state_code / postal_code	string	Detailed address properties
latitude / longitude	number	Exact GPS coordinates
county_name / county_fips	string	Property county information, excellent for demographic matches
street_view_url	string	Link to Google Maps street view preview of the property
primary_photo_url	string	Direct link to the featured display image
photo_count	integer	Total number of photos associated with the property
photo_urls	array	A list of direct image links for the property
matterport	boolean	True if the property contains a matterport 3d walk-through
is_foreclosure	boolean	Always true for active foreclosure listings
is_coming_soon / is_new_listing / is_price_reduced / is_pending / is_contingent / is_auction / is_fractionally_owned	boolean	Secondary transactional lifecycle flags and property indicators
source_id / source_name / source_type / source_listing_id	string	Specific source integrations the property was aggregated from (eg. the standard MLS)
advertiser_1_name / advertiser_2_name	string	Name of the primary and secondary listing agent/representative
advertiser_1_email / advertiser_2_email	string	Direct contact emails for the representatives
advertiser_1_office / advertiser_2_office	string	The parent office handling the representation (eg. Keller Williams)
advertiser_1_phones / advertiser_2_phones	array	Phone numbers for the primary and secondary contacts
branding_name	string	Optional affiliated agent branding profile details
open_houses	array	Array containing start_date, end_date, timezone, and description for viewing events
community_promotions / search_promotions	array	Array detailing additional marketing or platform property promotions
lead_show_contact_an_agent / lead_market_type / lead_type / is_veterans_united_eligible	mixed	Underlying lead generation attributes the listing platform utilizes
products_list / products_brand_name	mixed	Agent tier and listing distribution products pushed by the API
rmn_listing_attribution	boolean	Sourcing attribution parameter
scrapedAt	string	ISO timestamp outlining when the row was extracted
error	string	Exception details if the extraction run caught an issue during parse

FAQ

Where is the data coming from? The tool extracts property data from major public real estate networks, specifically filtering for listings marked as distressed or in foreclosure.

Is this only for foreclosures? Yes. Under the hood, this scraper is hardcoded to only return properties explicitly flagged as foreclosures. This guarantees your results aren't cluttered with standard retail listings.

Can I get sold comps? Yes. You can supply a sold_date_min to find recent sold foreclosure properties for making accurate offers.