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Realtor.com Data Parser & API

Extract Official MLS Property Data from the National Association of Realtors Platform.

Realtor.com is the official real estate portal of the National Association of Realtors (NAR), providing access to authentic MLS listings from 800+ local Multiple Listing Services across the United States. Access real-time property data with 99.9% uptime and industry-leading accuracy.

Platform Overview​

Market Position​

  • Number 2 US Real Estate Portal: Second-largest property search platform in the United States
  • Official NAR Platform: Owned by the National Association of Realtors (1.5M+ members)
  • 800+ MLS Integrations: Direct feeds from local Multiple Listing Services nationwide
  • 100M+ Monthly Visitors: One of the most-visited real estate websites in the US
  • Nationwide Coverage: Active listings in all 50 states, DC, Puerto Rico, and US Virgin Islands

Data Quality​

Key metrics compared to industry:

  • Listing Accuracy: 98-99% (higher than aggregators at 95-97%)
  • Update Frequency: 15-minute intervals (faster than most portals with hourly updates)
  • MLS Coverage: 800+ local MLSs (most comprehensive MLS integration)
  • Data Completeness: 97%+ (more complete than scraper sites)
  • Active Listings: 2.5M+ properties (approximately 80% of all US listings)

Key Differentiators​

Compared to Zillow:

  • Official MLS Data: Direct feeds vs aggregated or estimated data
  • Faster Updates: 15-minute MLS sync vs hourly or daily
  • Agent Verification: NAR-verified agent information
  • Listing Accuracy: Higher accuracy for active listings
  • No Zestimate Equivalent: Official MLS pricing only

Compared to Redfin:

  • Broader Coverage: 800+ MLSs vs Redfin's selective markets
  • Neutral Platform: No brokerage conflict of interest
  • More Complete Data: Includes all MLS member listings

Data Fields Available​

PropAPIS extracts 95+ data fields from each Realtor.com property listing:

Property Information​

  • Address: Full property address with ZIP+4
  • Price: Current asking price
  • Bedrooms: Number of bedrooms
  • Bathrooms: Full and half bathrooms
  • Square Footage: Interior living space
  • Lot Size: Lot dimensions and acreage
  • Year Built: Construction year
  • Property Type: Single-family, condo, townhouse, etc

MLS Data​

  • MLS ID: Official MLS listing number
  • List Date: Date property was listed
  • Last Update: Most recent data update
  • Status: Active, pending, sold, expired
  • Days on Market: Time since initial listing
  • Price History: All price changes

Agent and Brokerage​

  • Listing Agent: Agent name and license number
  • Agent Phone: Direct contact number
  • Agent Email: Contact email
  • Brokerage: Listing office name
  • Co-Listing Agent: Secondary agent if applicable

Property Features​

  • Interior Features: Flooring, appliances, etc
  • Exterior Features: Siding, roof, garage
  • Lot Features: Fencing, landscaping
  • Community Amenities: HOA facilities
  • Parking: Garage spaces, carport
  • Heating and Cooling: HVAC systems

Financial Information​

  • HOA Fees: Monthly association dues
  • Property Taxes: Annual tax amount
  • Tax Year: Assessment year
  • Tax ID: Parcel number

Location Data​

  • County: County name
  • School District: Local schools
  • Neighborhood: Subdivision name
  • Coordinates: Latitude and longitude
  • ZIP Code: 5-digit and ZIP+4

API Endpoints​

Get Property Details​

from propapis import PropAPIS

api = PropAPIS(api_key='your_api_key')

# Get property by address
property_data = api.platforms.realtor.get_property(
    address='123 Main St, Dallas, TX 75201'
)

print(f"Address: {property_data.address}")
print(f"Price: ${property_data.price:,}")
print(f"MLS ID: {property_data.mls_id}")
print(f"Days on Market: {property_data.days_on_market}")
print(f"Agent: {property_data.listing_agent}")

Search Active Listings​

# Search for properties
listings = api.platforms.realtor.search_listings(
    location='Dallas, TX',
    status='active',
    min_price=250000,
    max_price=450000,
    min_bedrooms=3,
    property_type='Single Family'
)

for listing in listings[:10]:
    print(f"{listing.address} - ${listing.price:,}")
    print(f"  MLS: {listing.mls_id} | DOM: {listing.days_on_market}")

Get Sold Properties​

# Search sold comps
sold_properties = api.platforms.realtor.search_sold(
    location='Dallas, TX',
    sold_in_last_days=180,
    min_bedrooms=3,
    max_bedrooms=4
)

for prop in sold_properties[:5]:
    print(f"{prop.address}")
    print(f"  Sold: ${prop.sold_price:,} on {prop.sold_date}")
    print(f"  MLS: {prop.mls_id}")

Get Market Statistics​

# Get market-level data
market_data = api.platforms.realtor.get_market_stats(
    location='Dallas, TX',
    property_type='Single Family'
)

print(f"Median List Price: ${market_data.median_price:,}")
print(f"Active Listings: {market_data.active_count:,}")
print(f"Avg Days on Market: {market_data.avg_dom:.0f}")
print(f"New Listings (30d): {market_data.new_listings_30d:,}")

Get Agent Information​

# Get listing agent details
property_data = api.platforms.realtor.get_property('123 Main St, Dallas, TX')

if property_data.listing_agent:
    print(f"Agent: {property_data.listing_agent}")
    print(f"Phone: {property_data.agent_phone}")
    print(f"Email: {property_data.agent_email}")
    print(f"Brokerage: {property_data.brokerage}")

Technical Specifications​

Performance​

  • Response Time: 400-700ms average per request
  • Success Rate: 99.9% uptime SLA
  • Rate Limits: 100 requests per second (Enterprise tier)
  • Data Freshness: 15-minute MLS updates

Data Quality​

  • MLS Accuracy: 98-99% (official MLS feeds)
  • Coverage: 2.5M+ active listings
  • Historical Data: 5+ years of sold listings
  • Update Frequency: Every 15 minutes from MLS

API Features​

  • REST API: Standard HTTPS endpoints
  • JSON Responses: Structured data format
  • SDKs: Python, JavaScript, PHP, Java
  • Webhooks: Real-time listing updates
  • Bulk Export: CSV and JSON downloads

Use Cases​

MLS Data Access​

  • Direct MLS feed alternative
  • Official listing data
  • NAR-verified agent information
  • Accurate days on market

Real Estate Brokerage​

  • Lead generation from new listings
  • Market analysis for clients
  • CMA report automation
  • Agent contact information

Investment Analysis​

  • Market trend monitoring
  • Property valuation
  • Comparable sales research
  • Days on market analysis

Market Research​

  • Housing market statistics
  • Supply and demand tracking
  • Price trend analysis
  • Geographic market comparison

Quick Start​

from propapis import PropAPIS

api = PropAPIS(api_key='your_api_key')

# Get property details
property_data = api.platforms.realtor.get_property('123 Main St, Dallas, TX')

print(f"Price: ${property_data.price:,}")
print(f"MLS ID: {property_data.mls_id}")
print(f"Agent: {property_data.listing_agent}")

For detailed documentation and advanced features, see our API Reference.

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