US Real Estate Lead Finder

An Apify actor that finds leads, not just listings, across the US real estate market. Built on top of HomeHarvest (Realtor.com data), it scores every record on a 0–100 lead-quality scale, tags motivated-seller signals, and extracts full agent contact info for outreach.

What makes it a lead finder (not just a scraper)

Each record is enriched with:

Field	What it tells you
lead_score	0–100 composite score (baseline 50)
lead_tags	One or more category labels (see below)
motivated_seller	Boolean — does this record carry strong sell-pressure signals?
lead_summary	Human-readable concatenation of tags
full_address	Pre-built single-string address
agent_name, agent_phones, agent_email	Direct outreach contact
broker_name, office_name, office_phones	Brokerage info

Lead categories

Tag	Trigger
FORECLOSURE	Status contains foreclosure / REO / bank-owned / auction
HIGH_DOM_60 / 90 / 180	Days on market ≥ 60 / 90 / 180
PRICE_REDUCED	Current list price < historical max by more than 2%
EXPIRED	Status is expired / withdrawn / cancelled
PENDING	Pending / contingent / under contract — buyer-side lead
SOLD	Recently closed — buyer-follow-up lead
NEW_CONSTRUCTION	Builder-direct opportunity
HIGH_VALUE	List or sold price ≥ $1M
HAS_AGENT_CONTACT	Record has agent name/phone/email (actionable)

Scoring weights (baseline 50)

FORECLOSURE              +30
HIGH_DOM_180             +25      EXPIRED                  +25
HIGH_DOM_90              +20      PRICE_REDUCED            +20
PENDING                  +15
HIGH_DOM_60              +10      SOLD                     +10
NEW_CONSTRUCTION         +5       HIGH_VALUE               +5
HAS_AGENT_CONTACT        +5
                                         capped at 100

Inputs (see .actor/input_schema.json for the full schema)

The interesting ones for lead-finding:

• locations (required) — array of cities, zips, or full addresses
• listing_type — for_sale, for_rent, sold, pending
• foreclosure_only — narrow to foreclosure / REO only
• mls_only — exclude off-market / Zestimate-only records
• require_agent_contact — drop leads without agent contact
• motivated_sellers_only — only keep leads with a motivation tag
• min_lead_score — threshold 0–100
• require_lead_tags — must have at least one of the chosen tags
• min_days_on_market — stale-listing search (try 60, 90, 180)
• past_days / date_from / date_to — time window

Example runs

Motivated sellers in Phoenix (90+ DOM, agent contact required)

{
  "locations": ["Phoenix, AZ"],
  "listing_type": "for_sale",
  "min_days_on_market": 90,
  "require_agent_contact": true,
  "motivated_sellers_only": true,
  "output_format": "leads_only"
}

Foreclosure leads across multiple Texas metros

{
  "locations": ["Houston, TX", "Dallas, TX", "Austin, TX", "San Antonio, TX"],
  "listing_type": "for_sale",
  "foreclosure_only": true,
  "min_lead_score": 70
}

Luxury listings sitting on the market in California

{
  "locations": ["Beverly Hills, CA", "Malibu, CA", "Newport Beach, CA"],
  "listing_type": "for_sale",
  "min_price": 2000000,
  "min_days_on_market": 60,
  "require_lead_tags": ["HIGH_DOM_90", "HIGH_DOM_180", "PRICE_REDUCED"]
}

Recently sold homes near a specific address (buyer-follow-up leads, 5-mile radius)

{
  "locations": ["1600 Amphitheatre Parkway, Mountain View, CA"],
  "listing_type": "sold",
  "radius": 5,
  "past_days": 30,
  "output_format": "leads_only"
}

Output

Each dataset record contains either every HomeHarvest column (output_format: full) or a focused subset (output_format: leads_only), plus the lead-finder enrichment fields above. The actor also writes a SUMMARY key in the key-value store with totals, tag distribution, applied filters, and any errors.

A pre-built dataset view called Lead Overview shows the most important columns (score, tags, address, price, DOM, agent) as a sortable table.