Hubzu Foreclosure & Auction Scraper · Agent & Trustee Contacts

Turn Hubzu (one of the largest US online auction sites for bank-owned and foreclosure homes) into a clean spreadsheet you can act on: address, bids, list price, beds, sqft, sale date, and who to call: the listing agent's email and phone, or the foreclosure trustee and case number.

No login. No Hubzu account. No API key.

Free Apify plan: 20 properties per run. Paid plans export as many as your budget allows.

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Who is this for?

You are…	Typical goal	Suggested setup
Fix-and-flip / buy-and-hold investor	Find discounted homes before the auction closes	Your state + Bank-owned + max price
Wholesaler / acquisitions rep	Call listing agents on REO auctions	Contacts on, Contacts (CRM) view
Foreclosure auction bidder	Plan courthouse sales	Foreclosure auction + Foreclosure calendar view
Real estate agent / lender / title company	Prospect the agents and trustees behind distressed sales	Nationwide, Contacts on
Analyst / data team	Track distressed inventory and comps	All, including ended sales, scheduled weekly
Buyer with a watch list	Refresh bids and status on saved homes	Paste Hubzu property links

What you get by default: every open listing in your states, with price fields, property facts, sale dates and the contact published on the property page.

Honest fill rates (test run, October 2026, 20 Florida + 20 Texas properties):

Field	Bank-owned / online auctions (FL)	Courthouse foreclosure sales (TX)
Address, beds, sqft, year built, photos	95–100%	100%
List price / opening bid	100%	0% (Hubzu does not publish one)
Current bid	50% (auctions with bids)	0%
Listing agent name, email, phone, brokerage	100%	n/a
Trustee / law firm + phone, case number	n/a	100%
Courthouse sale date, time, venue	n/a	100%
Tax assessed value, annual tax	100%	70%

Turn Add agent / trustee contacts off for a faster, cheaper listing-only export (address, prices, beds, sqft, dates, brokerage name).

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Quick start

1. Open the Input tab.
2. Keep Florida selected (or pick your states).
3. Click Start, then open the Contacts (CRM) or Overview view and export to CSV / Excel.

A 10-property run takes about 5 seconds.

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Ready-made examples

Example	What you get
Florida bank-owned homes with agent emails	Active REO auctions + listing agent contacts
Texas foreclosure auctions with trustee and case number	Courthouse sale calendar
Refresh Hubzu property links	Latest bids and status for your saved homes
Hubzu listing agent emails nationwide for CRM	One row per home, agent contact columns

(Links are added here once the examples are live in the Store.)

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What it extracts

• Sale: sale type (Bank-owned, Foreclosure auction, Second-chance auction, Non-bank-owned, Short sale, Commercial), format (Online auction, Courthouse sale, Traditional), status, auction start/end, courthouse sale date/time/venue, bid count.
• Price: list price, opening bid, current bid, reserve (when shown), buyer's premium flag.
• Property: full address, county, GPS, property type, beds, baths, sqft, lot size, year built, occupancy, MLS #, parcel number, description, up to 10 photos.
• Contact: listing agent name, email, phone, brokerage, license #; or foreclosure trustee / law firm, phone and case number; seller / loan servicer.
• Tax: assessed value, annual tax, tax year.

Contacts are copied only when Hubzu publishes them on the property page. Nothing is guessed or invented.

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How much does it cost to scrape Hubzu?

Pay per result. You pay $0.05 per run, plus one of these per property:

Event	Free	Bronze	Silver	Gold+
Property (no contact)	$0.0015	$0.0013	$0.0012	$0.0010
Property with contact (agent email/phone or trustee phone)	$0.0050	$0.0045	$0.0040	$0.0035

Scenario (run fee included)	Free	Bronze	Silver	Gold+
20 properties with contacts	$0.15	$0.14	$0.13	$0.12
100 properties with contacts	20 per run	$0.50	$0.45	$0.40
1,000 properties with contacts	20 per run	$4.55	$4.05	$3.55
1,000 properties, contacts off	20 per run	$1.35	$1.25	$1.05

Set Max cost per run in the run options to cap your spend: the export stops cleanly when it is reached.

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Is it legal to scrape Hubzu?

This Actor only collects data that Hubzu shows publicly to any visitor, without logging in: listing details, prices and the contact details that agents and trustees publish so buyers can reach them. It does not bypass logins or access private accounts.

Personal data (such as an agent's name, email or phone) may be protected by laws like the GDPR or the CCPA. Use it for legitimate purposes only, respect opt-out requests and anti-spam rules (CAN-SPAM, TCPA), and check Hubzu's terms of use for your use case. If in doubt, ask a lawyer. Read more in Apify's post Is web scraping legal?.

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Limitations

• Hubzu inventory changes every day; online auctions usually last about a week. Schedule the Actor for fresh data.
• Courthouse foreclosure sales do not show an opening bid on Hubzu, so price filters skip them (leave price empty to keep them).
• Free Apify plan: 20 properties per run.

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Input

Field	What it does	Default
states	Two-letter state codes. Empty = nationwide.	Florida (Console)
saleTypes	bank_owned, foreclosure, second_chance, non_bank_owned, short_sale, commercial. Empty = all.	all
listingStatus	open, open_and_pending, all	open
minPrice / maxPrice	Price range on current bid, else opening bid, else list price	none
minBeds	Minimum bedrooms	none
cities	Keep only these cities	all
includeContacts	Agent / trustee contacts, full details, photos, tax	true
propertyUrls	Hubzu property links or IDs (replaces the search)	empty
maxItems	Max properties, 0 = no cap	20

API-only options (not in the Console form): verboseLogs: true adds technical debug lines; detailConcurrency (1–20, default 8).

{
  "states": ["FL", "GA"],
  "saleTypes": ["bank_owned"],
  "maxPrice": 250000,
  "includeContacts": true,
  "maxItems": 200
}

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Output sample

One row per property (real values from a test run; agent contact anonymized, long fields shortened):

{
  "property_id": "9321810859",
  "url": "https://www.hubzu.com/property/9321810859-330-Tudor-Drive-Unit-203-Cape-Coral-FL-33904",
  "sale_type": "Bank-owned (REO)",
  "sale_format": "Online auction",
  "status": "Active",
  "full_address": "330 Tudor Drive Unit #203, Cape Coral, FL 33904",
  "county": "Lee",
  "property_type": "Condo / Apartment",
  "beds": 2,
  "baths": 2,
  "sqft": 973,
  "year_built": 1964,
  "occupancy": "Vacant",
  "list_price": 125400,
  "starting_bid": 100320,
  "current_bid": 115320,
  "reserve_price": 119130,
  "bid_count": 3,
  "auction_end": "2026-10-09T13:44:18Z",
  "listing_brokerage": "All Florida Property Group",
  "seller": "Celink",
  "contact_role": "Listing agent",
  "contact_name": "Jane Sample",
  "contact_email": "jane@example-brokerage.com",
  "contact_phone": "(321) 555-0142",
  "contact_company": "All Florida Property Group",
  "mls_number": "2026037368",
  "tax_assessed_value": 59463,
  "annual_tax": 932,
  "photos": ["https://image-prod.hubzu.com/2026/9/9321810859/…_9.JPEG"]
}

A courthouse foreclosure row instead fills sale_event_date (e.g. "2026-12-08"), sale_event_time ("11:00 AM CT"), sale_event_venue, foreclosure_case_number, trustee_name and contact_role: "Foreclosure trustee".

Dataset views: Overview · Contacts (CRM) · Foreclosure calendar · Property details. A readable Run log is saved with every run.

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How it works

The Actor reads Hubzu's public search results state by state, applies your filters, then opens each matching property page for contacts, photos and the tax record. Rows are saved as soon as they are ready, so you can download partial results while a large run is still going.

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Local development

npm install
npm test                      # unit tests (fixtures, no network)
apify run --input-file=.actor/INPUT.json

src/lib/normalize.js holds the pure mapping and filters; src/lib/hubzuApi.js the HTTP client; src/main.js the run flow. Published Store examples live in published-tasks/ (not shipped in the image).

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Also available

• InvestorLift · Wholesale Deals, Emails & Phones: off-market wholesale deals with seller company, emails and phones.
• All Actors by corent1robert

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Support

Questions, a missing field or a custom export: corentin@outreacher.fr. Use the Issues tab for bugs.