A map toolbar for your search and results pages.
A score widget for your listing detail pages.
Worldwide coverage: OpenStreetMap data for every city on earth.
Add location scoring to your map pages and your listing pages, all with one script tag.
OpenStreetMap data covers every country on earth, wherever your listings are.
No credit card. No demo call. Free under 10,000 pageviews/month. Try before you commit.
The Mapalizer Toolbar sets no cookies and does not track individual visitors. Optional third-party map services remain under the website operator's control.
One API works across all three map libraries, so you never need to rewrite your integration when changing libraries.
Colors, position, opacity, category weights, and threshold: all via JSON config.
Available in 100+ languages, configurable per-call for both the map toolbar and listing-page widget.
As visitors adjust categories and the score threshold, your map can hide or gray properties that fall below their preferences.
Mapalizer keeps working from city view to street view, so visitors can compare location quality at any map zoom.
Mapalizer helps visitors evaluate neighborhood quality faster, while giving property websites a richer, more informative map experience.
Each place type relevant to real estate that we track from OpenStreetMap Features contributes a score to its surrounding area.
Each place type relevant to real estate belongs to a subcategory, and each subcategory has its own maximum score and its own maximum distance. As distance increases, that contribution decreases linearly until it reaches zero at the configured maximum distance.
For example, two different bus stops located side by side will not have a greater impact than the maximum score that can be obtained from the "Bus Stop" subcategory. In this way, different subcategories are added together to determine the main category score between 0 and 1.
Bus stop
Railway station
Combined transit score
When calculating the score of a point on the map, the average score of the categories selected from the Mapalizer Toolbar at that point is taken into account. By default, all selected categories are weighted the same when calculating the average score.
railway=stationhighway=bus_stoppublic_transport=stop_positionshop=supermarketshop=convenienceshop=bakeryamenity=hospitalamenity=clinicamenity=doctorsleisure=parkleisure=nature_reservenatural=woodamenity=restaurantamenity=cafeamenity=fast_foodleisure=sports_centreleisure=swimming_poolleisure=fitness_centreshop=mallshop=clothesshop=supermarketamenity=theatreamenity=cinematourism=museum
Interactive score overlay
The result is more than a simple heatmap: Mapalizer generates interactive, contour-based location intelligence that reveals spatial patterns, transitions, and relative attractiveness directly on the map.
One API, three map libraries. Switch between them without rewriting your integration.
// Google Maps const map = new google.maps.Map(document.getElementById('map'), { center: { lat: 52.505, lng: 13.389 }, zoom: 13, }); // ... mapalizer.addToMap(map, { auth: { siteToken: 'mpl_pk_live_REPLACE_ME' } });
// Leaflet const map = L.map('map').setView([52.505, 13.389], 13); L.tileLayer('https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png', { attribution: '© <a href="https://www.openstreetmap.org/copyright" target="_blank" rel="noopener noreferrer">OpenStreetMap contributors</a>' }).addTo(map); // ... mapalizer.addToMap(map, { auth: { siteToken: 'mpl_pk_live_REPLACE_ME' } });
// Mapbox JS (Leaflet-based) L.mapbox.accessToken('your-mapbox-token'); const map = L.mapbox.map('map', 'mapbox.streets').setView([52.505, 13.389], 13); // ... mapalizer.addToMap(map, { auth: { siteToken: 'mpl_pk_live_REPLACE_ME' } });