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.
  • 97.01% 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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Warning: This scraper is available only to enterprise customers. Please contact us for more details.

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 34 minutes 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.
Contact Us →
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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Frequently Asked Questions

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 Web Scraper API employs sophisticated technologies to overcome anti-scraping measures, including advanced browser fingerprinting that mimics genuine user behavior, automatic CAPTCHA solving capabilities, intelligent request distribution to prevent detection, dynamic session management, and adaptive response to website security changes—all working seamlessly behind a simple API interface.

Rebrowser provides official client libraries for Python, JavaScript/Node.js, Java, PHP, Ruby, Go, and .NET, making integration seamless regardless of your technology stack. Additionally, our RESTful API design allows for easy implementation in any language capable of making HTTP requests, with comprehensive documentation available for custom implementations.

Yes, Rebrowser Web Scraper API excels at extracting data from JavaScript-heavy websites. Our system incorporates full browser rendering capabilities that execute JavaScript code just as a real browser would, ensuring complete content loading. This enables successful data extraction from modern single-page applications, dynamic content loaders, and complex web applications that rely heavily on client-side rendering.

Our proprietary mobile proxy farm consists of thousands of real mobile devices distributed globally. These devices operate on authentic mobile networks with genuine IP addresses, making them indistinguishable from regular users. This provides our customers with the most natural browsing fingerprints possible, enabling successful data collection from websites that typically block conventional proxy solutions.