Realtor.com Property Scraper — Apify Actor

Scrapes Realtor.com property listings and outputs structured MLS-style data to an Apify dataset.

Features

• Multiple locations — scrape several cities, zip codes, or addresses in one run
• All listing types — for sale, for rent, recently sold, pending/contingent
• Property type filters — single family, condos, townhomes, multi-family, land, mobile, farm, duplex/triplex
• Date filtering — past N days or explicit date range
• Radius search — find properties within X miles of a specific address
• Post-scrape filters — price range, minimum beds, minimum sqft
• Foreclosure mode — filter to foreclosure listings only
• 3 output formats — full (all 40+ fields), compact (essentials), financial (prices/tax/assessment)
• 3 dataset views — overview, agent/broker info, financials
• Error isolation — one location failing doesn't stop the rest

Input Examples

Basic: homes for sale

{
    "locations": ["San Diego, CA"],
    "listing_type": "for_sale",
    "past_days": 30
}

Multi-location with filters

{
    "locations": ["Austin, TX", "Dallas, TX", "Houston, TX"],
    "listing_type": "for_sale",
    "property_type": ["single_family"],
    "min_price": 300000,
    "max_price": 800000,
    "min_beds": 3,
    "past_days": 14,
    "output_format": "compact"
}

Recently sold with date range

{
    "locations": ["Miami, FL"],
    "listing_type": "sold",
    "date_from": "2025-01-01",
    "date_to": "2025-03-31",
    "output_format": "financial"
}

Radius search around an address

{
    "locations": ["1600 Pennsylvania Ave, Washington, DC"],
    "listing_type": "sold",
    "radius": 2.0,
    "past_days": 90
}

Foreclosures

{
    "locations": ["Phoenix, AZ", "Las Vegas, NV"],
    "listing_type": "for_sale",
    "foreclosure": true,
    "past_days": 60
}

Output Fields (full format)

Category	Fields
Address	street, unit, city, state, zip_code
Listing	list_price, list_date, days_on_mls, status, mls, mls_id
Property	beds, full_baths, half_baths, sqft, lot_sqft, year_built, style, stories, garage
Sale history	sold_price, last_sold_date, last_sold_price, price_per_sqft
Financial	hoa_fee, tax, assessed_value (building + land + total)
Agent	agent_name, agent_email, agent_phone
Broker	broker_name, office_name
Location	latitude, longitude, nearby_schools
Media	primary_photo, alt_photos
Meta	property_url, _scraped_at, _search_location, _source

Deploy to Apify

Option 1: Apify CLI

npm install -g apify-cli
apify login
cd apify-realtor-scraper
apify push

Option 2: GitHub integration

Push to GitHub → Apify Console → Actors → Create New → Link GitHub repo

Option 3: ZIP upload

Zip the folder → Apify Console → Actors → Create New → Upload ZIP

Local Testing

pip install homeharvest pandas
python test_local.py