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.
- 97.4% 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
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:
- Property address and GPS coordinates
- Listing price and price history
- Property specifications (bedrooms, bathrooms, square footage)
- Property type and architectural style
- Listing agent and broker information
- Days on market and listing status
- Property tax and HOA fees
- School district ratings and nearby schools
- Neighborhood crime statistics and demographics
- Walk score and transit score
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.
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
| Field | Type | Description | Example |
|---|---|---|---|
listingId | string | Unique identifier for the property listing on Realtor.com | M9871234567 |
address | object | Full property address including street, city, state, and ZIP | {street: '123 Main St', city: 'Austin', state: 'TX', zip: '78701'} |
price | number | Current listing price in USD | 525000 |
bedrooms | number | Number of bedrooms in the property | 3 |
bathrooms | number | Total number of bathrooms including half baths | 2.5 |
squareFootage | number | Total living area in square feet | 2150 |
propertyType | string | Type of property (single family, condo, townhouse, etc.) | single_family |
yearBuilt | number | Year the property was constructed | 2015 |
daysOnMarket | number | Number of days the property has been listed | 12 |
listingAgent | object | Contact information for the listing agent | {name: 'John Smith', phone: '512-555-0123', brokerName: 'Keller Williams'} |
schoolRatings | object | Ratings for nearby elementary, middle, and high schools | {elementary: 8, middle: 7, high: 9} |
walkScore | number | Walkability score from 0-100 indicating pedestrian friendliness | 72 |
Sample Realtor.com API Response
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.
Our ready-to-use scrapers
Explore our collection of high-performance web scrapers for data extraction. Each scraper is optimized for reliability and scalability, with built-in support for handling dynamic content, CAPTCHAs, and IP rotation. All scrapers are fully maintained and updated regularly by our team.
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Start transforming your data operations today
We are a small team, focused on building highly specialized solutions that your business needs today.
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.
Get your sample data within 7 days
We can handle any website
Custom built API for your needs
Frequently Asked Questions
Our mobile proxy network stands out through its use of actual smartphone devices with authentic mobile carrier IPs rather than simulated or datacenter-based solutions. This approach provides genuine mobile user signatures including carrier headers, connection characteristics, and regional authenticity that can't be replicated by conventional proxy services, resulting in significantly higher success rates on sophisticated websites.
Rebrowser Web Scraper API is designed for rapid integration, with most clients achieving full implementation within hours. We provide comprehensive SDKs for popular programming languages, clear documentation with practical examples, ready-to-use code snippets for common extraction scenarios, and quick-start templates to accelerate development and minimize integration time.
Yes, Rebrowser supports authenticated scraping through several methods: API parameters for passing credentials, secure session management to maintain logged-in states across requests, cookie handling capabilities, and advanced fingerprinting to prevent account flagging. This enables reliable data extraction from password-protected areas while maintaining account security.
Our systems employ adaptive extraction techniques that can automatically adjust to minor website structure changes. For significant redesigns, our monitoring system alerts our engineering team who can quickly update extraction patterns. Enterprise clients benefit from our Site Reliability Service, which guarantees continuous data flow even when target websites undergo major structural changes.
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.
