Map integrations, geolocation and spatial search – listings plotted on a map, nearby search and route planning between points. A map is not decoration; in real estate, accommodation and service projects it is often the main way users browse the offer.

Typical uses

Displaying hundreds or thousands of points without the map stuttering. Searching within a radius of an address or the current location. Filtering directly from the map as the user pans. Planning a route across several stops. And picking a branch or pickup point during checkout.

What we deal with

  • Marker clustering so the map stays smooth even with large datasets.
  • Address geocoding with ongoing validation against typos in the data.
  • Distance search executed in the database rather than recalculated afterwards.
  • Keeping the map and the result list in sync so they show the same thing.
  • Choosing a map provider based on query pricing and the features you need.

Performance and cost

Map APIs bill per call, so the design decides your monthly invoice. We geocode once when a record is saved rather than on every view, and answer proximity queries with a spatial index in the database. The map stays fast as the catalogue grows.

We used the same approach on HladamChatu.sk and Bydo.sk, where map search is the primary way of browsing.

Frequently asked questions

Which map provider should we use?

It comes down to the ratio between query pricing and the features you need. If plotting points and simple address lookup is enough, cheaper or open alternatives work well. For route planning and precise geocoding the quality gap is wider and usually worth paying for.

What if our data contains inaccurate addresses?

Geocoding flags them and the system reports records that could not be placed or landed suspiciously far away. They can be corrected in bulk or by hand in the admin, including dragging the point on the map.