Case 04

Real estate platform with automated import

DjangoCeleryPostgreSQLSEO
real-estate-platform.app
Real estate platform with …
Django · Celery · PostgreSQL · SEO
DjangoCeleryPostgreSQLSEO

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.

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 Listings were often outdated, photos were missing, and the website had no SEO strategy — zero organic traffic.

  • 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

  • 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

10 weeks

Real Estate

Solo developer

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