HUD Assisted Housing Scraper — Section 8 property leads with an expiring-contract deal score

Section 8 and HUD assisted-housing property leads with a built-in deal score and an expiring-contracts filter — the acquisition and preservation trigger that real-estate investors and PropTech teams can't get from any mainstream lead source. This actor pulls HUD's official Multifamily Assisted Properties database and turns the raw 280-column government export into contactable, scored rows: management contact (name, phone, email), subsidy programs, REAC inspection score, distress flags, and the HAP contract expiration date with a computed 0–100 deal_score. Direct from HUD's open-data service — no API key, no login, no proxies — and pay-per-result at $5 per 1,000 properties.

What it does

• Queries HUD's live ArcGIS open-data service (Multifamily Properties – Assisted) on every run — the same feed HUD publishes for public download, covering Section 8 (project-based), 202 (elderly), 811 (disabled), PRAC, RAP/Rent Supplement, BMIR, 236, and RAD-conversion properties.
• Flattens ~280 government fields into ~60 clean columns per property: identity, standardized address, coordinates, metro/county/tract context, unit counts, contract numbers, and expiration dates.
• Surfaces the outreach contact: management agent organization, contact full name, phone, email, project manager, and the on-site phone — with a has_email flag for quick filtering.
• Computes a 0–100 deal_score from expiration urgency (up to 30 pts for contracts rolling within 12 months), distress flags (troubled / in-default / watch-list / risk category, up to 35), REAC condition (up to 15), loan maturity within 36 months (10), and sub-85% occupancy (10) — with a deal_score_breakdown object showing exactly how each component contributed.
• Filters server- and client-side: state, city (prefix match), program, minimum units, contact-required, troubled-only, in-default-only, max occupancy, minimum deal score, and — the headline — contracts expiring within N months.
• Cleans government quirks: HUD's -4 "not reported" sentinels become null instead of leaking fake negative rents into your model, and all date formats are normalized to YYYY-MM-DD. Results sort by soonest next_expiration.

Use cases

• Affordable-housing acquirers & syndicators — build a state list of Section 8 properties whose HAP contract expires within 18 months, the classic preservation-deal trigger, before a broker ever lists them.
• LIHTC investors — a nationwide or state-by-state target list with real management contacts instead of weeks of county-assessor scraping.
• PropTech & data platforms — a clean, structured HUD dataset to power underwriting tools, deal-sourcing dashboards, and market intelligence.
• PACE/retrofit and agency lenders — reach management agents at properties with maturing debt or low REAC scores (value-add retrofit candidates).
• B2B vendors (insurance, compliance, service coordination) — a contactable list of HUD-assisted property managers segmented by state and program.

Input

Field	Type	Default	Description
state	string	"CA"	Two-letter US state code (e.g. TX, NY). Leave empty for nationwide.
city	string	—	City name (optional, prefix match).
program	string	"all"	all, section8 (project-based), or 202_811 (elderly/disabled).
expiringWithinMonths	integer	0	The deal trigger: keep only properties whose subsidy contract expires within this many months (0–120; 0 = off).
minUnits	integer	0	Keep only properties with at least this many total units (0 = off).
onlyWithContact	boolean	false	Keep only properties with a management email or phone.
troubledOnly	boolean	false	Keep only properties flagged troubled (distressed-asset targeting).
inDefaultOnly	boolean	false	Keep only properties whose HUD loan is in default/delinquent.
maxOccupancy	integer	—	Keep only properties at or below this occupancy % (lease-up upside). Empty = off.
minDealScore	integer	0	Keep only properties scoring at or above this (0–100; 0 = off).
maxItems	integer	500	Maximum properties to return (1–25,000).

{
  "state": "CA",
  "program": "section8",
  "expiringWithinMonths": 18,
  "minUnits": 50,
  "onlyWithContact": true,
  "maxItems": 1000
}

Every field is optional — an empty input returns a nationwide pull up to maxItems.

Output

One dataset row per property, sorted by soonest contract expiration. A trimmed example (each row carries ~60 fields, including financing, occupancy, and demographics columns not shown here):

{
  "property_id": 800012345,
  "property_name": "Sunset Terrace Apartments",
  "address": "1200 W OLIVE AVE",
  "city": "FRESNO",
  "state": "CA",
  "zip": "93728",
  "latitude": 36.767,
  "longitude": -119.812,
  "metro_area": "Fresno, CA",
  "total_units": 96,
  "assisted_units": 95,
  "programs": ["Sec 8 NC"],
  "programs_detail": ["Section 8 (project-based)"],
  "contracts": ["CA16M000123"],
  "contract_expirations": ["2027-09-30"],
  "next_expiration": "2027-09-30",
  "mgmt_agent": "Pacific Property Management Inc",
  "mgmt_contact": "Jane Smith",
  "mgmt_phone": "(559) 555-0142",
  "mgmt_email": "jsmith@pacificpm.com",
  "site_phone": "(559) 555-0198",
  "phone": "(559) 555-0142",
  "has_email": true,
  "reac_score": 72,
  "reac_inspection_date": "2025-11-04",
  "risk_category": "Medium",
  "troubled": false,
  "on_watch_list": false,
  "in_default": false,
  "loan_maturity_date": "2029-06-01",
  "pct_occupied": 92.0,
  "rent_per_month": 1184.0,
  "deal_score": 30,
  "deal_score_breakdown": {
    "expiration_urgency": 20,
    "distress": 0,
    "condition": 8,
    "loan_maturity": 0,
    "occupancy": 0
  }
}

Other columns include fha_number, original_loan_amount, debt_service_coverage_ratio, hud_held, hud_owned, rent_to_fmr_ratio, avg_tenant_income, pct_elderly_62plus, pct_disabled, unit-mix percentages, is_section8, is_202_811, and the HUD field office (hud_hub).

Example output

A real sample from a live run:

property_name	city	state	total_units	assisted_units	mgmt_agent	mgmt_phone
Almaden Garden Apartments	San Jose	CA	52	36	DKD Property Management Company	(408) 297-7849 ext. 103
VILLAGE WAY	Chatsworth	CA	8	6	VALLEY VILLAGE	818 587 9450 X 132
LAS PALMAS	Los Angeles	CA	74	74	WSH Management Inc	949-748-8209
NEW WEST I	Bloomington	CA	4	4	American Real Property Management, Inc.	(213) 252-5997

Pricing

This actor uses Apify pay-per-event pricing: $5 per 1,000 properties ($0.005 per result), effective from mid-July 2026. You're charged only for the property rows delivered after your filters — no subscription, no charge for empty runs. A 1,000-row pull of expiring Section 8 contracts in a state costs $5; a 25,000-row nationwide pull costs $125. The free Apify plan is enough to try it — test the deal score and expiring-contract filter on a real state list at no cost.

Tips / FAQ

Is it legal to scrape HUD housing data? Yes. The source is HUD's own public Multifamily Properties – Assisted ArcGIS open-data service — the same data HUD publishes for download. No login, no circumvention, no private data.

How fresh is the data? Every run queries HUD's live feature service — there's no cached snapshot. Data is as current as HUD's latest published update.

What drives a high deal_score? A subsidy contract expiring within 12–36 months, troubled/in-default/watch-list flags, a REAC score below 80 (more below 60), an FHA loan maturing within 36 months, and occupancy under 85%. Check deal_score_breakdown to see each component.

Why are some rents or demographics null? HUD marks unreported survey values with negative sentinel codes (e.g. -4). This actor maps those to null rather than passing fake numbers into your underwriting.

What if HUD's service is down? The actor retries transient errors with backoff; if HUD is completely unreachable, the run ends gracefully with a "temporarily unavailable — please retry" message and you're charged nothing.

Can I get only properties with a contact? Yes — onlyWithContact: true drops any property without a management email or phone, so every row you pay for is actionable.

Related actors

• Bulk Email Verifier — verify management-contact emails before an outreach campaign
• Company & Domain Enricher — turn management-company domains into full firmographic records
• Local Business Leads Scraper — any local business category by city, with contact enrichment

Support: found a bug or need a feature? Open an Issue on this actor's Issues tab — typical response within 1 business day.