Realtor.com Scraper

Access comprehensive real estate listings from Realtor.com with structured property data, pricing trends, and neighborhood insights. Extract millions of active listings including homes for sale, rentals, and recently sold properties across all US markets.
Our Realtor.com scraping API delivers real-time property details, agent information, and market analytics. Monitor price changes, track new listings, and analyze local real estate trends with automated data extraction.
Collect detailed property specifications, virtual tour links, school ratings, and walkability scores. Perfect for real estate professionals, investors, and proptech companies building market intelligence platforms.
  • 96.94% success rate (see success rate graph)
  • Real-time property listing updates with price history and days on market
  • Comprehensive agent and broker contact information with performance metrics
  • Neighborhood demographics, school ratings, and walkability scores
  • Property photos, virtual tours, and floor plan availability
  • Mortgage calculator data and estimated monthly payments
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Realtor.com Scraper API Use Cases

Competitive Market Analysis
Track competitor listings and pricing strategies in specific neighborhoods. Analyze market trends to optimize your property pricing and marketing approach.
Lead Generation for Agents
Identify new listings and price drops to reach out to potential buyers instantly. Build targeted marketing campaigns based on property characteristics and location.
Investment Property Research
Evaluate rental yields and property appreciation across different markets. Compare investment opportunities using cap rates, rental estimates, and neighborhood growth data.
Automated Property Alerts
Create custom notification systems for clients based on specific criteria. Monitor inventory levels and market velocity in target areas for better timing decisions.

Extractable Realtor.com Data Points

Rebrowser Realtor.com Scraper efficiently connects with Realtor.com unofficial API interface, allowing users to extract comprehensive data elements from the platform, such as:

Realtor.com Scraper Success Rate

The graph below contains real data based on our scraping operations. Latest update was 9 hours ago.
Ready-to-use Realtor.com Dataset Available Now!
Access clean, structured Realtor.com data instantly without building your own scraping infrastructure.
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Millions of Realtor.com data points ready to download
Daily updates with fresh data
Flexible data delivery via API or CSV/JSON exports

Sample Realtor.com API Response Schema

FieldTypeDescriptionExample
listingIdstringUnique identifier for the property listing on Realtor.comM9871234567
addressobjectFull property address including street, city, state, and ZIP{street: '123 Main St', city: 'Austin', state: 'TX', zip: '78701'}
pricenumberCurrent listing price in USD525000
bedroomsnumberNumber of bedrooms in the property3
bathroomsnumberTotal number of bathrooms including half baths2.5
squareFootagenumberTotal living area in square feet2150
propertyTypestringType of property (single family, condo, townhouse, etc.)single_family
yearBuiltnumberYear the property was constructed2015
daysOnMarketnumberNumber of days the property has been listed12
listingAgentobjectContact information for the listing agent{name: 'John Smith', phone: '512-555-0123', brokerName: 'Keller Williams'}
schoolRatingsobjectRatings for nearby elementary, middle, and high schools{elementary: 8, middle: 7, high: 9}
walkScorenumberWalkability score from 0-100 indicating pedestrian friendliness72

Sample Realtor.com API Response

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{
  "listingId": "M9871234567",
  "address": {
    "street": "123 Main St",
    "city": "Austin",
    "state": "TX",
    "zip": "78701"
  },
  "price": 525000,
  "bedrooms": 3,
  "bathrooms": 2.5,
  "squareFootage": 2150,
  "propertyType": "single_family",
  "yearBuilt": 2015,
  "daysOnMarket": 12,
  "listingAgent": {
    "name": "John Smith",
    "phone": "512-555-0123",
    "brokerName": "Keller Williams"
  },
  "schoolRatings": {
    "elementary": 8,
    "middle": 7,
    "high": 9
  },
  "walkScore": 72
}
Devices Available
Profiles Created
Pages Crawled
Success Rate
Realtor.com Scraping Challenges Solved
Traditional web scraping methods often fail due to sophisticated anti-bot measures and dynamic content.
Companies waste thousands of dollars on unreliable solutions that break regularly and require constant maintenance.
Rebrowser eliminates these headaches with a robust architecture designed to handle even the most protected websites like Realtor.com.
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IP Blocking & CAPTCHAs
Websites detect and block scraping attempts through IP tracking and CAPTCHA challenges, causing project delays.
Dynamic JavaScript Content
Modern sites load content dynamically with JavaScript, making traditional scraping methods ineffective.
Maintenance Nightmare
Websites change structure frequently, breaking scrapers and requiring constant code updates and debugging.
Scaling Difficulties
Managing high-volume scraping operations requires complex infrastructure and load balancing to avoid detection.

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Start transforming your data operations today
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We can start working on your project tomorrow and get you sample data within a few days.
No endless calls and emails with sales and managers – you get direct access to our core team who handles everything you need.
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Get your sample data within 7 days
We can handle any website
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Frequently Asked Questions

Absolutely. Rebrowser's architecture is specifically designed for high-concurrency operations, supporting thousands of simultaneous connections with intelligent request distribution. Our system dynamically allocates resources across our global infrastructure to maintain optimal performance even during peak usage periods, making it ideal for time-sensitive applications requiring rapid data collection.

Multiple industries benefit from our API, including e-commerce businesses monitoring competitors' pricing, financial institutions tracking market trends, travel companies gathering flight and hotel data, real estate firms monitoring property listings, research organizations collecting public data, and marketing agencies analyzing consumer sentiment and trends across various online platforms.

Rebrowser integrates with 10 diverse proxy networks, including major residential proxy pools with millions of IPs, specialized datacenter proxies optimized for performance, exclusive mobile network providers, country-specific proxy pools for targeted geo-access, and private proxy networks with dedicated IPs. This multi-provider approach ensures optimal performance for different scraping scenarios.

Rebrowser Web Scraper API is an advanced cloud-based solution for web data extraction that handles the complex aspects of web scraping automatically. It manages IP rotation, bypasses anti-bot systems, solves CAPTCHAs, and parses data into structured formats. This comprehensive service enables businesses to collect valuable web data efficiently without dealing with technical challenges.

Rebrowser is committed to ethical data collection through strict adherence to websites' robots.txt directives, responsible request rates that minimize server impact, respect for user privacy by avoiding personal data extraction unless explicitly authorized, transparent data provenance tracking, and continuous monitoring of legal and regulatory developments affecting web scraping activities.