Laravel for Real Estate

Laravel provides Eloquent ORM for working with complex relational data — properties, agents, clients, deals. The built-in queue system handles importing thousands of properties from XML feeds, and the Blade templating engine enables rapid creation of SEO-optimized property cards.

Yes. We build XML feed export modules for major listing platforms. Laravel Queue ensures background data synchronization, and API integrations allow automatic property status updates across all platforms simultaneously.

An MVP catalog with search, filters, and property cards takes 6-8 weeks. A full platform with CRM, personal accounts, platform integrations, and analytics takes 3-5 months. We use modular architecture, allowing the project to launch in phases.

We use PostgreSQL with PostGIS for storing property coordinates. Laravel Eloquent is extended with scopes for geo-queries: radius search, polygon search (drawn area on map), distance-based sorting. Meilisearch supports geo-filtering for instant results. An average query across 100,000 properties executes in 50-100ms.

Users save search filters (area, price, size, type), and Laravel creates a subscription. When a new property is added to the catalog, a cron job checks matches against all active subscriptions and sends push/email notifications. For scale, we use Laravel Queue + Redis: checking 10,000 subscriptions when adding a property takes 2-3 seconds.

Yes, Laravel Queue is ideal for background feed processing. We create parsers for each format (XML feeds from listing platforms, REST APIs from aggregators, spreadsheets from developers), normalize data into a unified model, and deduplicate by address and cadastral number. Importing 50,000 properties takes 10-15 minutes in the background without loading the site.