Development of a Large-Scale Real Estate Data Web Application with Advanced Search and Analytics

The client faces significant difficulties in accessing comprehensive, accurate real estate data due to closed property values, inefficient data filtering, and challenges managing over 150 million property records. They require a scalable, efficient system to enable precise search, map visualization, and data analysis to stay competitive in a fast-paced real estate market.

A mid to large-sized real estate agency or platform aiming to leverage massive property data for lead generation, market analysis, and customer outreach.

• Implement a web application capable of handling over 150 million property records with rapid search capabilities (e.g., 2-second search runs).
• Enable detailed property searches filtered by various parameters and map bounds with optimized performance, including real-time updates and efficient data loading.
• Integrate map-based visualization for swift overview of large datasets.
• Develop precise property value estimations based on comparable sales and collected data.
• Incorporate email campaign management and outreach functionalities.
• Support subscription-based access with flexible tariff plans and secure payment processing.
• Establish robust data scraping and validation frameworks to continuously update the property database.
• Ensure secure user authentication, role management, and data privacy.

• Fast search functionality for over 150 million real estate listings with list and map views.
• Map-based filtering system that dynamically loads data within map bounds with request throttling.
• Property value estimation based on sales data and similar property comparison.
• User authentication and registration system.
• Email campaign creation, editing, and sending with a WYSIWYG editor.
• Advanced object comparison and analysis tools for data insights.
• Subscription management with multiple tariff plans and discount options, integrated with secure payment gateways.
• Automated data scraping engine capable of collecting addresses, property features, and status from multiple sources, incorporating validation frameworks.

• Google Maps API for map visualization and building photos
• Stripe API for payment and subscription management
• External real estate data sources for web scraping and data validation
• Email service provider for campaign distribution

• Search response time under 2 seconds for large dataset queries
• Map view filtering with minimal request delay and dynamic data loading
• Server scalability to support over 150 million records with high concurrency
• Secure user authentication and data privacy compliance
• System uptime SLA of 99.9%
• Data validation processes to ensure high accuracy of property information

The implementation aims to provide a high-performance, scalable real estate data platform that enables users to conduct rapid searches, view dynamic map visualizations, and generate market insights. Goals include handling over 150 million records efficiently, reducing search and data load times to under 2 seconds, enabling targeted email campaigns, and supporting subscription plans—leading to improved lead generation, increased market competitiveness, and enhanced data accuracy for clients.