Real Estate Platform Case Study

Building a Scalable Real Estate Search Platform with React and Hapi Microservices

How we built a multi-tenant property search engine with geolocation filtering for a real estate startup - handling complex user roles and map-based searches

Călin Gabriel July 15, 2024
7 min read
Expert Level
React Hapi AWS MongoDB Microservices

Business Challenge

Traditional real estate platforms struggled with complex multi-tenant requirements:

3
User roles
50K+
Properties
Complex
Geolocation

Solution Architecture

Built a scalable React + Hapi microservices platform with multi-tenant architecture:

🏠 Property Service

RESTful API with complex filtering and geolocation search

πŸ‘₯ User Management

Role-based authentication for agents, buyers, landlords

πŸ“ Location Service

Google Maps integration with radius-based search

πŸ’Ό Tenant Isolation

Multi-agency data separation with secure access

Key Technical Implementation

⚑ Frontend Excellence

React with Redux for complex state management

Google Maps API with custom property markers

πŸš€ Backend Performance

Hapi.js microservices with plugin-based architecture

MongoDB aggregation for complex property queries

☁️ AWS Infrastructure

EC2 + Load Balancer for auto-scaling

S3 + CloudFront for property image optimization

Business Results

85%
User Engagement
From 2.1min to 8.3min sessions
50K+
Properties Managed
Multi-agency platform
99.5%
Search Accuracy
Location-based matching

Key Takeaways

πŸ—οΈ

Multi-Tenant Architecture

Proper data isolation enabled secure multi-agency operations

πŸ—ΊοΈ

Geolocation Optimization

Smart indexing and caching improved map search by 300%

πŸ‘₯

Role-Based Design

Flexible user permissions reduced support tickets by 60%

Need a scalable real estate platform?

I specialize in building multi-tenant applications with complex geolocation features

Discuss Your Project
  • Real-time updates - instant property listing changes across all users
  • Mobile performance - majority of users searched on mobile devices

    • Technical Solution: React + Hapi Microservices

    Modern Stack Choice: React for dynamic UI, Hapi.js microservices for API, MongoDB for flexible data storage, AWS Lambda for scalable processing.

    Architecture Overview

    Key Technical Implementation

    Dedicated SSO Microservice: Centralized authentication service built with Hapi.js, handling JWT tokens and multi-role authorization for agents, buyers, and landlords.

    MongoDB Geospatial Search: 2dsphere indexes for radius-based property queries, calculating distances and ordering by proximity with sub-second response times.

    Salesforce Integration: Dedicated microservices with SQS queues and Lambda workers for syncing leads, contacts, and property data between platforms.

    Scalable Queue Architecture: AWS SQS for reliable message processing and Lambda functions for background data synchronization tasks.

    Business Results

    20% Higher User Engagement
    3x Faster Property Search
    50k+ Properties Indexed

    AWS Infrastructure

    Production Setup: Lambda functions for microservices, SQS queues for message processing, MongoDB Atlas for managed database, S3 for property images with CloudFront CDN.

    Serverless Architecture: Hapi.js microservices deployed as Lambda functions with API Gateway routing and automatic scaling based on demand.

    Key Takeaways

    Building a real estate or location-based platform? I have deep experience with MongoDB geospatial queries, Hapi.js microservices, SSO architecture, and Salesforce integrations. Let's discuss your project.