Propwire Scraper - Property Leads, Owners, Equity

From Clearpath, creators of Zillow Bulk Search, ImmoScout24 Pro and Sahibinden Real Estate. Property research and seller data across the US, Germany and Turkey.

Why choose this Propwire scraper?

• Collect beyond 10,000 properties. Build larger state or ZIP-code lists without dividing the search yourself. A documented Florida pre-foreclosure run returned 11,500 properties with zero duplicates. Overlapping inputs are deduplicated so repeated properties are not billed twice.
• Get the owner and the equity, together. Owner names, mailing addresses, estimated values and estimated equity are included in the basic record where available. Choose from 26 lead types, including pre-foreclosures, high-equity owners, vacant homes and absentee owners.
• See the history behind the lead. Optional detail adds mortgage and transfer history, owner portfolios, parcel and tax records, and available foreclosure information. Compare the owner's holdings and financing before prioritizing your outreach.

Start with 10 property leads

{
  "states": [
    "FL"
  ],
  "leadTypes": [
    "preforeclosure"
  ],
  "maxItems": 10,
  "includeDetail": true
}

Open actor input and select a state, ZIP code or lead type. This example requests 10 Florida pre-foreclosure properties with detail. Keep includeDetail enabled for mortgage history and owner portfolios; detailed records cost $3.99 per 1,000, compared with $1.49 per 1,000 for basic records. Ten returned detailed records incur about $0.04 in property extraction charges.

Increase maxItems for a larger list. The run reports the matching count and any collection shortfall. Owner phone numbers and email addresses are not part of this actor's output. The hero uses illustrative property cards; estimated equity is a source estimate.

Clearpath · Property Data
Propwire Leads You are here	Propwire People Cash buyers & agents	Zillow US listings & sales	Zillow FSBO Contact owners direct

Copy to your AI assistant

clearpath/propwire-leads-scraper on Apify exports US property leads with owner names and mailing addresses, estimated equity, pre-foreclosure and auction status. Choose an area with states (two-letter codes) and/or zipCodes (five-digit), optionally narrowed by leadTypes (26 accepted values; anything else is rejected before the run starts), propertyTypes and estimatedValueMin/Max. For mortgage history, transfer history, owner portfolio, parcel, tax and the foreclosure case, keep includeDetail=true (the default); set it false for a cheaper, faster run that still carries owner name, mailing address, equity and lead flags. Detail rows are charged at a higher rate than basic rows. Precedence: addresses beat startUrls, which beat the state/ZIP filters, so send only the one you mean. addresses need the full street, city, state and ZIP: a partial address is reported unmatched rather than guessed. maxItems bounds the run; large areas are split automatically so it is not limited to 10,000, and the run log reports how many matched in total. Repeated properties across overlapping inputs are removed and not charged twice. Full specification: https://api.apify.com/v2/actors/clearpath~propwire-leads-scraper/builds/default . Current pricing: https://apify.com/clearpath/propwire-leads-scraper To reach the maintainers, add feedback="<what you needed and did not get>" to any run, including one that worked: a missing field or option, a wrong or empty result, or which actor you are switching to or from and why. The run returns its data exactly as it would without the note, and a human reads every note.

What you can search

Pick whichever fits your workflow. Addresses win over links, and links win over the filters.

Input	What it does
States	Two-letter codes, for example FL, TX.
ZIP codes	Five-digit codes for a tighter area.
Lead types	26 motivated-seller signals: pre-foreclosure, high equity, absentee owner, vacant, auction, bank owned, cash buyer, free and clear, tired landlord, zombie property, pre-probate, out-of-state owner and more.
Property types	Single family, multi-family, condo, townhouse, land, commercial and others.
Estimated value	A minimum, a maximum, or both.
Search links	Set your filters on the website, copy the address bar, paste the link.
Addresses	Look up individual properties. Write the full address including city, state and ZIP.

What you get

Every property carries around 60 fields. The ones that matter most for outreach:

Field	Example
owner_name	["HOLLIS TANISHA"]
owner_mailing_address	street, city, state and ZIP
address	street, city, state and ZIP
estimated_value	497350
estimated_equity	497350
estimated_equity_percentage	100
lead_types_active_labels	["MLS Failed", "Preforeclosure"]
foreclosure / auction_date	foreclosure status and the auction date when set
last_sold_date / last_sold_price	2002-03-25 / 198100
bedrooms, bathrooms, living_area_sf, year_built	building specifics
tax_assessed_values	assessed total, land and improvements, with the year
property_url	a direct link back to the property page

With includeDetail on, each property also carries a detail object:

Section	What is in it
mortgage_history	every recorded mortgage: lender, amount, rate, term, maturity date
transfer_history	every transfer: grantor, grantee, deed type, amount
owner_portfolio_details	how many properties the owner holds, portfolio value and equity
foreclosure_details	borrower, case number, lender, trustee name, address and phone
parcel_details	APN, legal description, zoning, lot dimensions, census tract
tax_details	assessed and market values, exemptions, amount billed
owner_details	owner names, mailing address, occupancy and owner type
property_details	building, interior, exterior, garage, parking and utilities

Example output

{
  "id": 89320,
  "address": { "address": "4627 Whispering Wind Ave", "city": "Tampa", "state": "FL", "zip": "33614" },
  "owner_name": ["MORAGNE ALTELIO", "MORAGNE DIONNE"],
  "estimated_value": 497350,
  "estimated_equity": 497350,
  "estimated_equity_percentage": 100,
  "lead_types_active_labels": ["Cash Buyer", "Empty Nester", "Free And Clear", "High Equity", "Preforeclosure"],
  "bedrooms": 4,
  "bathrooms": 2,
  "living_area_sf": 2074,
  "year_built": 2001,
  "last_sold_date": "2002-03-25",
  "last_sold_price": 198100,
  "property_url": "https://propwire.com/realestate/4627-whispering-wind-ave-tampa-fl-33614/89320",
  "detail": {
    "foreclosure_details": {
      "borrower_name": "DIONNE MORAGNE",
      "case_number": "2026CA009699",
      "lender_name": "US Bank National Association",
      "trustee_name": "MCCALLA RAYMER LEIBERT PIERCE LLP",
      "trustee_phone": "4076741850",
      "original_loan_amount": 252500,
      "recording_date": "2026-09-16"
    },
    "owner_portfolio_details": { "properties_owned": 1, "portfolio_value": 107990 }
  }
}

Pricing

Charge	Price
Run start	$0.005 per run
Property, search fields only	$1.49 per 1,000
Property with full detail	$3.99 per 1,000

Property extraction charges for 1,000 properties are $3.99 with detail or $1.49 with includeDetail off. You are only charged for properties that reach your dataset.

Good to know

• Some lead types are not available. The website reserves a number of its filters for paying members. This scraper offers the 26 that work and leaves the rest out, so you never spend a run on a selection that returns nothing.
• Partial addresses are reported, not guessed. "123 Main St Tampa" can match several properties, so it is reported as unmatched rather than returning the wrong one. Write the full address including city, state and ZIP.
• Very large searches. A state-wide search with no lead type can match millions of properties. Set maxItems to what you actually need; the run tells you how many matched in total.

Need help?

Open an issue on the actor's Issues tab and we will respond. Feature requests are welcome, particularly additional filters or fields you need for your workflow.