Case 04
Real estate platform with automated import
Real estate platform with …
Django · Celery · PostgreSQL · SEO
DjangoCeleryPostgreSQLSEO
About the project
Created a Django platform with automatic synchronization and import from external sources, advanced filters, and an SEO-optimized URL and page structure. Automated publishing cut time costs and increased lead flow through organic search.
The Challenge
A real estate agency manually uploaded 300+ property listings from multiple MLS feeds, spending 15 hours/week on data entry. Listings were often outdated, photos were missing, and the website had no SEO strategy — zero organic traffic.
The Solution
- Built automated import pipelines syncing from 3 external MLS sources via API and XML feeds
- Celery-based scheduled tasks checking for updates every 30 minutes
- Auto-generated SEO-optimized URLs, meta descriptions, and structured data for each listing
- Advanced filtering by location, price, type, size with URL-based filter state for SEO
- Automatic image optimization and lazy loading for 10,000+ property photos
Results & Impact
- 15 hours/week of manual work eliminated — fully automated
- Organic traffic grew from 0 to 3,000 visits/month within 4 months
- 300+ listings automatically synced and kept up-to-date
- Page load time under 1.5 seconds despite heavy image content
- Lead inquiries increased 4x compared to the old static site
Timeline
10 weeks
Industry
Real Estate
Team
Solo developer
Want to automate your property listings and grow organic traffic? Let's discuss.
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