Access millions of apartment listings from Apartments.com with comprehensive rental market data spanning all major US cities and metropolitan areas. Our dataset includes historical pricing trends, availability patterns, and detailed property characteristics updated regularly.
This extensive collection features apartment specifications, neighborhood demographics, amenity distributions, and market analytics perfect for real estate research and business intelligence. Ideal for researchers, investors, and technology companies building rental-focused applications.
Conduct scholarly research on housing affordability, urban development patterns, and rental market dynamics. Analyze correlations between neighborhood characteristics, amenities, and pricing trends for academic publications and policy recommendations.
PropTech Application Development
Build innovative rental platforms, recommendation engines, and market analysis tools using comprehensive property data. Create machine learning models for price prediction, demand forecasting, and automated property valuation systems.
Investment Portfolio Analysis
Evaluate real estate investment opportunities by analyzing historical performance, market saturation, and growth potential across different markets. Make data-driven decisions on property acquisition and portfolio diversification strategies.
Urban Planning & Policy Development
Support municipal planning initiatives with detailed housing market data and availability analysis. Inform zoning decisions, affordable housing policies, and infrastructure development based on rental market trends and demographic patterns.
Apartments.com Dataset New Entries
The graph below contains real data based on our scraping operations. Latest update was 15 days ago.
Advanced Apartments.com Web Scraper Available Now!
Get real-time Apartments.com data with custom processing to perfectly fit your data pipelines.
Access ready-to-use data instantly instead of waiting weeks or months to build your own data collection pipeline.
Structured & Clean Data
All datasets are thoroughly processed, normalized, and validated to ensure high-quality, consistent information.
Zero Maintenance
We handle all updates and data freshness, allowing you to focus on using the data rather than collecting it.
Cost Efficiency
Save thousands in development and infrastructure costs by leveraging our pre-built dataset instead of creating your own.
Disclaimer: Rebrowser is an independent data provider and is not affiliated with, endorsed by, or sponsored by Apartments.com. Any trademarks are the property of their respective owners. This dataset is compiled from publicly available information; we do not request or collect Apartments.com user credentials.
Our datasets
Discover our comprehensive datasets for efficient web data collection. Our datasets are regularly updated, thoroughly validated for accuracy, and ready for immediate use in your applications. Each dataset comes with complete documentation and sample implementations to get you started quickly.
Our datasets are frequently used for AI and machine learning model training, competitive analysis, market research, consumer behavior studies, product development, pricing optimization, sentiment analysis, and trend forecasting across various industries.
Rebrowser maintains the highest standards of ethical data sourcing. We strictly adhere to all relevant regulations and guidelines, ensuring all data is obtained legally and ethically. We're committed to respecting data privacy principles and implement robust measures to protect both data subjects and our users.
Rebrowser adheres to global data privacy standards including GDPR, CCPA, and other regional regulations. We implement privacy-by-design principles in our data collection processes, ensure proper anonymization where required, and maintain transparent documentation of data provenance and processing activities.
Yes. During checkout, you can specify your preferred data freshness requirements. We offer options ranging from historical data to near real-time updates depending on your specific use case and requirements.
We employ a multi-layered validation process including automated checks, statistical anomaly detection, and human review for critical datasets. Our quality control team continuously monitors data quality metrics to ensure all information meets our rigorous standards before delivery to customers.