Real Estate Portal with Geosearch and Mortgage Calculator
We develop turnkey real estate portals that combine map-based search, filters, a mortgage calculator, and CRM integration. Each module demands performance and scalability: a typical project handles up to 100,000 listings at 500 requests per second. With over 10 years of experience and 20+ completed projects, we solve challenges in geosearch, duplicate listings, and feed automation. Below are technical details to help you avoid common pitfalls and save your development budget.
Why PostGIS speeds up geosearch?
The main problem in geosearch is spatial query performance. A typical SQL query with a radius condition on 200,000 objects takes tens of seconds. We use PostGIS with GIST indexes — query speed is 3x higher. On one project with 200,000 listings, API response time for a radius query never exceeded 100 ms.
Comparison of geosearch approaches:
| Method | Query Time (100k objects) | Implementation Complexity |
|---|---|---|
| PostGIS GIST | 50–200 ms | Medium |
| Elasticsearch geo_shape | 200–500 ms | High |
| Client-side filtering | 2–5 sec (load all data) | Low |
PostGIS with GIST indexes is 2–3 times faster than Elasticsearch geo_shape on typical radius queries, according to our load tests. For marker clustering on zoom out we use supercluster (npm) on the client or ST_ClusterKMeans on the server. This reduces rendering load and speeds up map interaction.
PostGIS vs Elasticsearch
Elasticsearch is great for full-text search, but spatial queries are more native and faster in PostGIS due to GIST indexes. Also, PostGIS is a PostgreSQL extension, so it doesn't require separate infrastructure. We use Elasticsearch only for text search on listings or for statistics aggregation.
Steps to configure the YRL feed for listings
- Create an XML file according to YRL schema 2.0 with each object details (address, price, area, coordinates, images).
- Set up a cron job on the server to regenerate and submit the feed daily.
- Use Laravel or similar framework with an XML parsing package and send via HTTP.
- Test feed correctness using Yandex Webmaster tools.
Setup for one standard takes 1–2 days. We also support CIAN XML and API, Realty.mail.ru.
Benefits of proper YRL implementation
Proper YRL ensures listings appear in Yandex search without errors. Automating conversion and submission via cron eliminates manual work and increases update frequency. This directly affects the number of leads from aggregators. Our clients typically save up to $50,000 annually by automating feed generation and reducing manual data entry.
Advanced filters
Search by:
- Type (apartment / house / plot / commercial)
- Room count (studio, 1–4+ rooms)
- Floor (not first / not top / any)
- Price range (in rubles or per m²)
- Area (total, living, kitchen)
- Year built / condition
- Building series (panel / brick / monolithic)
- Metro + radius on foot/by car
- District / microdistrict / residential complex
Each filter combination generates a unique SEO-friendly URL.
How new listing notifications boost conversion
A user saves a search query. When a new listing appears, an email or push notification is sent. Implementation: a cron job runs once per hour matching new listings against saved searches. This increases user return rate by 30–40%.
Mortgage calculator
Interactive calculation: property price, down payment (%), term, interest rate → monthly payment, total overpayment. Integration with bank APIs to display real programs (Sberbank, DOM.RF). Setup takes 2–3 days. Adding this module lowers cost per lead — users instantly assess their options.
SEO for real estate portal
Listing pages with filters should have unique URLs and content: e.g., kupit-kvartiru-moskva/chertanovo-severnoe/3-komnatnye. Programmable content from filters for titles and descriptions. RealEstateListing schema.org markup. Additionally, static pages for popular districts improve indexing and attract organic traffic.
What is included in the work
- Analytics and architecture design
- Frontend on React 18/Next.js 14 with TypeScript and Tailwind
- Backend on Laravel 11 (PHP 8.3) or Node.js (Nest.js)
- Integrations with CRM (AmoCRM, Bitrix24), banks, aggregators
- Testing (unit, integration, load) and deployment to your hosting
- Documentation, access credentials, and admin training
- 1-month warranty support
Development cost: from $15,000 for MVP, full portal from $40,000. Save up to $50,000 annually on feed automation. Contact us for an audit of your project — we'll calculate timelines and cost.
Estimated timelines
| Stage | Time |
|---|---|
| MVP (catalog, filters, map, inquiry form) | from 2 to 3 months |
| Full portal (CRM, geosearch, alerts, 3D tours, mortgage) | from 4 to 6 months |
Get a consultation on your project — we'll assess the scope and propose the optimal solution.