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Project Details

A closer look at the project and the process behind it

Project Description

Project Title: Interactive Map-Based Real Estate Search Platform
Client: Metropolis Properties
Project Link: https://www.zillow.com/

Project Overview

The client wanted to create a property search experience superior to basic listing sites. The goal was a highly interactive, map-based Single-Page Application where users could pan, zoom, and draw custom search areas, with listings updating on the map in real-time.

The Challenge

The main difficulty was handling and displaying thousands of property data points on an interactive map without slowing down the user’s browser. The data needed to be filterable and update instantly as the user manipulated the map.

Our Solution

We built a high-performance property search engine with MERN.

  • Frontend: We used React and the Google Maps API. We implemented custom logic to only load listings visible in the current map view, ensuring high performance even with a massive database.

  • Backend: A Node.js and Express.js API is optimized for geospatial queries. When the user moves the map, the frontend sends the new coordinates to the backend, which efficiently returns only the relevant properties.

  • Database: MongoDB is excellent for this use case due to its powerful built-in geospatial indexing and query capabilities.

The Result

The platform’s highly interactive and fast map search became its key selling point. User engagement is three times higher than on their old, list-based website, and it has generated a significant number of high-quality buyer leads.

Technologies Used: MERN Stack, Google Maps API, Redux, JWT, Geospatial Queries

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Sohaib HASSAN

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