Turning property search on its head - industry first: comparative driving time between landmarks and properties for sale and rent

A while ago we’ve launched our innovative new POI (Point of Interest) search on our property portal MyProperty South Africa. This allows you to find property near popular South African landmarks. We are constantly adding new landmarks and it is starting to gain great usage traction from visitors.

The POI search allows you to enter a landmark name in the search area, e.g. school name, shopping mall, police station, hospital or train station name and search for property for sale or rent around that point. Visitors can also drill down from points of interest on properties to find nearby properties. Properties geocoded by agents are used.

World first – comparative driving time between properties and landmarks

As an industry first (and as far as we can see world first) it also shows you the driving time between the specific landmark and properties. Visitors can even sort properties by nearest driving time. This is quite interesting, because depending on a property location, certain properties can be easier to access from your point of interest although they are located farther afield.

In the example below the second highlighted property is further away from the point of interest (The Cape Town V&A Waterfront) but a minute quicker to access through traffic.

We use a combination of Google Maps driving directions and other data to calculate distances and driving time. Our aim is to improve the accuracy with time and also see if we can integrate real time traffic statistics. This will allow visitors to filter for properties based on traffic conditions based on their hours of work.


Visitors can furthermore filter for properties in a radius or sort properties based on driving time or distance.

Click on the following link for an example:



MyProperty is South Africa’s largest fully independent property portal and features over 100,000 property listings captured daily through our industry leading cloud-based OMS system.

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