Realtor Property Harvester

Bulk Property Data Extraction Made Simple

Extract live property listings from Realtor.com across multiple cities with customizable filters. Perfect for market analysis, investment research, data analytics, and competitive intelligence.

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🎯 What This Does

The Realtor Property Harvester pulls structured property data from Realtor.com based on your search criteria. Get listing details, agent contacts, and pricing information in clean JSON format—ready for analysis or integration.

Key Capabilities

• Multi-City Search - Extract listings from multiple locations simultaneously
• Property Type Filtering - Target specific property categories
• Flexible Sorting - Order results by price, date, size, or activity
• Pagination Control - Fetch multiple pages per city for deep data collection
• Status-Based Queries - Filter by for sale, sold, or all listings
• Agent Data Included - Get listing agent contact info with every property

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📥 Input Parameters

Request Structure

{
  "cities": ["Los Angeles"],
  "page_count": 1,
  "property_type": "ANY",
  "sort_option": "relevant listings",
  "status": "for_sale"
}

Configuration Options

Parameter	Type	Description	Default
cities	array	List of cities to scrape (required)	-
page_count	integer	Number of pages to fetch per city	1
property_type	string	Property category filter	ANY
sort_option	string	How to order the results	relevant listings
status	string	Listing status filter	for_sale

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🏘️ Property Type Options

Value	Description
ANY	All property types
single_family	Single-family homes
condo	Condominiums and co-ops
townhome	Townhouses
multi_family	Multi-unit residential buildings
mobile	Mobile/manufactured homes
farm	Farms and ranches
land	Vacant land and lots

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📊 Sort Options

Value	Description
relevant listings	Default Realtor.com relevance
highest price	Most expensive first
lowest price	Least expensive first
newest	Recently listed properties
year built	Organized by construction year
open houses	Properties with scheduled open houses
price reduced	Recently price-dropped listings
largest sqft	Biggest properties by square footage
largest lot	Biggest properties by lot size
most photos	Listings with extensive photo galleries

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🏷️ Status Options

Value	Description
for_sale	Active listings currently on market
sold	Recently sold properties
all	Both active and sold listings

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📤 Output Structure

Response Format

[
  {
    "city": "Los Angeles",
    "data": {
      "results": [
        {
          "property_id": "1046112528",
          "property_url": "https://www.realtor.com/realestateandhomes-detail/10644-Bellagio-Rd_Los-Angeles_CA_90077_M10461-12528",
          "status": "for_sale",
          "list_price": 190000000,
          "sold_price": null,
          "sold_date": null,
          "beds": 7,
          "baths": "20",
          "sqft": null,
          "type": "single_family",
          "address": "10644 Bellagio Rd",
          "city": "Los Angeles",
          "state": "CA",
          "postal_code": "90077",
          "latitude": 34.080184,
          "longitude": -118.443899,
          "photo": "https://ap.rdcpix.com/7b45597f98feb75954c47a5af692a1d3l-m3010574789s.jpg",
          "agent_name": "Jimmy Heckenberg",
          "agent_phone": "3106501116",
          "agent_email": "jimmyheck@heckandberghomes.com",
          "fulfillment_id": "1566815",
          "office_name": "Rodeo Realty",
          "list_date": "2025-10-10T16:15:35.000000Z"
        }
      ]
    },
    "success": true
  }
]

Field Descriptions

Field	Type	Description
property_id	string	Unique property identifier
property_url	string	Direct link to listing on Realtor.com
status	string	Current listing status (for_sale, sold, etc.)
list_price	integer	Current or last listing price
sold_price	integer	Final sale price (if sold)
sold_date	string	Date of sale (if applicable)
beds	integer	Number of bedrooms
baths	string	Number of bathrooms
sqft	integer	Interior square footage
type	string	Property type classification
address	string	Street address
city	string	City name
state	string	State abbreviation
postal_code	string	ZIP/postal code
latitude	float	Geographic coordinate
longitude	float	Geographic coordinate
photo	string	Primary listing photo URL
agent_name	string	Listing agent's full name
agent_phone	string	Agent's phone number
agent_email	string	Agent's email address
fulfillment_id	string	Agent's Realtor.com identifier
office_name	string	Brokerage/office name
list_date	string	Date property was listed (ISO 8601)

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💡 Usage Examples

Example 1: Single City Search

{
  "cities": ["Miami"],
  "page_count": 3,
  "property_type": "condo",
  "sort_option": "newest",
  "status": "for_sale"
}

Result: ~120 condo listings from Miami, sorted by newest first

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Example 2: Multi-City Investment Scan

{
  "cities": ["Austin", "Phoenix", "Tampa"],
  "page_count": 2,
  "property_type": "single_family",
  "sort_option": "lowest price",
  "status": "for_sale"
}

Result: ~240 affordable single-family homes across 3 growth markets

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Example 3: Luxury Property Research

{
  "cities": ["Beverly Hills", "Malibu"],
  "page_count": 5,
  "property_type": "ANY",
  "sort_option": "highest price",
  "status": "for_sale"
}

Result: ~400 high-end listings sorted by most expensive

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Example 4: Recent Sales Analysis

{
  "cities": ["Seattle"],
  "page_count": 10,
  "property_type": "ANY",
  "sort_option": "newest",
  "status": "sold"
}

Result: ~400 recently sold properties with sale prices and dates

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Example 5: Motivated Seller Finder

{
  "cities": ["Denver"],
  "page_count": 5,
  "property_type": "single_family",
  "sort_option": "price reduced",
  "status": "for_sale"
}

Result: ~200 properties with recent price reductions

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🎯 Perfect For

Use Case	Configuration
Market Analysis	Multiple cities, all types, high page count
Investment Scouting	Single city, specific type, sort by lowest price
Comp Research	Target area, sold status, recent listings
Lead Generation	High page count to capture agent contacts
Price Monitoring	Price reduced sort, frequent scraping
New Listing Alerts	Newest sort, low page count, daily runs

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⚡ Performance Specs

Metric	Specification
Properties per Page	~40 listings
Max Cities per Request	Unlimited (practical: 10-20)
Max Pages per City	100+ pages available
Response Time	4-8 seconds per city
Data Freshness	Real-time from Realtor.com
Agent Contact Rate	95%+ of listings include agent

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🔧 Pro Tips

Tip #1: Multi-City Efficiency Request 5-10 cities at once with page_count: 2-3 for broad market snapshots.

Tip #2: Deep Dives For single city analysis, use page_count: 10+ to get hundreds of listings.

Tip #3: Fresh Listings Combine sort_option: "newest" with daily scraping to catch new properties immediately.

Tip #4: Sold Comps Use status: "sold" with recent date sorting to build comparable sales databases.

Tip #5: Agent Prospecting High page counts = more unique agent contacts for outreach lists.

Tip #6: Price Drops sort_option: "price reduced" reveals motivated sellers for negotiation opportunities.

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📊 Output Processing

Typical Results per Configuration

1 city × 1 page = ~40 properties
1 city × 5 pages = ~200 properties
3 cities × 3 pages = ~360 properties
10 cities × 2 pages = ~800 properties

Data Export Options

• JSON - Native format, ready for APIs and databases
• CSV - Flatten for Excel, Google Sheets, or BI tools
• Database - Direct import to PostgreSQL, MySQL, MongoDB
• CRM - Map fields to Salesforce, HubSpot, or custom CRMs

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🚀 Common Workflows

Workflow 1: Daily New Listing Monitor

Input: Target cities, newest sort, page_count: 1, status: for_sale
Schedule: Daily at 8am
Output: Fresh listings for immediate follow-up

Workflow 2: Weekly Market Report

Input: 5 metro areas, all types, page_count: 5, status: for_sale
Schedule: Every Monday
Output: 1,000+ listings for trend analysis

Workflow 3: Investment Deal Finder

Input: Growth markets, single_family, price reduced sort, page_count: 3
Schedule: Twice weekly
Output: 240+ potential deals with motivated sellers

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🔐 Data Quality

✓ Live Data - Directly from Realtor.com, not cached
✓ Complete Profiles - Property details + agent contact info
✓ Accurate Pricing - Current list prices and sale histories
✓ Geographic Precision - Lat/long coordinates for mapping
✓ Photo URLs - Direct links to listing images

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🌟 Why Choose This Tool?

Advantage	Benefit
Simple Input	Just specify cities and preferences
Structured Output	Clean JSON ready for any workflow
Agent Data	Contact info included automatically
Flexible Sorting	Find exactly what you need
Scalable	1 city or 100 cities, same easy process
No Rate Limits	Batch process without throttling

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Transform Realtor.com into your personal property data pipeline.