Property Search and Display System

Project Overview

Developed a complete property listing platform featuring Django backend with automated web scraping tools and an interactive frontend displaying properties on an interactive map.

System Architecture

Full-Stack Components

1. Backend (Django): Data processing, APIs, admin interface
2. Database: Structured property data storage
3. Frontend: Interactive map-based property display
4. Scraping Tools: Automated data collection from multiple sources

Technical Implementation

Backend Development (Django)

• Django framework for backend development
• RESTful API endpoints for frontend communication
• Admin panel for property management
• Automated data scraping and processing scripts
• Database models for properties, locations, and listings
• Search and filtering functionality
• User authentication and authorization

Frontend Development

• Interactive map interface for property visualization
• Property markers on map with clustering
• Filtering options sidebar
• Property details display
• Responsive design for different devices
• Search functionality with location autocomplete

Web Scraping System

• Automated collection of property listings
• Multiple data source integration
• Data cleaning and normalization
• Scheduled scraping tasks
• Error handling and retry mechanisms

Geo-based Features

• Property display on interactive map
• Location-based search
• Distance filtering
• Address geocoding
• Map clustering for performance

Key Features

Property Management

• Automated data collection from listing websites
• Property categorization and tagging
• Image gallery management
• Price tracking and history
• Contact information handling

Search & Discovery

• Interactive map-based property browsing
• Advanced filtering (price, type, bedrooms, location)
• Geo-based radius search
• Saved searches
• Search result sorting

User Experience

• Clean property detail pages
• Map navigation between properties
• Contact forms for inquiries
• Favorite properties list
• Search history

Technologies Used

• Backend: Django, Python
• Database: PostgreSQL (with spatial capabilities)
• Frontend: JavaScript, HTML5, CSS3
• Mapping: Leaflet/OpenStreetMap or Google Maps API
• Scraping: Python libraries (BeautifulSoup, Scrapy, etc.)
• Deployment: Linux server, Nginx, Gunicorn

Project Outcomes

• Complete property search and display platform
• Automated data pipeline reducing manual entry
• Interactive map interface for better user experience
• Scalable architecture supporting thousands of listings
• Efficient search system with geo-location capabilities

This full-stack project demonstrated expertise in Django development, web scraping, and creating interactive map-based interfaces for property discovery and management.