When I first tried to add a map with hundreds (or even thousands) of markers to a Webflow project, I quickly realized that the page would either:
Load slowly
Lag while scrolling or zooming
Or crash the browser completely
Webflow itself doesn’t have a native map component, so like many designers, I used external services like the Google Maps API or Mapbox.
But simply embedding a map with all the markers displayed at once? Not a good idea.
In this post, I’ll share the methods I use to manage thousands of map markers within a Webflow project without hurting performance by using clustering, lazy loading, and smart rendering strategies.
Problem with displaying too many markers
- Each marker is a separate DOM element
- Displaying more than 500 markers at once puts a strain on the browser, especially on mobile devices
- User interactions like scrolling, zooming, or filtering become painfully slow
- Webflow’s built-in editor isn’t built to handle large amounts of JS
Solution 1: Use marker grouping
Marker grouping groups nearby markers into a single “cluster” icon, reducing the number of active markers on the map.
Popular options:
- Google Maps MarkerClusterer
- Mapbox Supercluster
Example with Google Maps + MarkerClusterer:
<script src="https://developers.google.com/maps/documentation/javascript/examples/markerclusterer/markerclusterer.js"></script>
<script>
const map = new google.maps.Map(document.getElementById('map'), { zoom: 5, center: { lat: 0, lng: 0 } });
const markers = locations.map(loc => new google.maps.Marker({ position: loc }));
new MarkerClusterer(map, markers, { imagePath: 'https://developers.google.com/maps/documentation/javascript/examples/markerclusterer/m' });
</script>
- This reduces the number of DOM elements displayed at once
- Clusters automatically expand when the user zooms
Solution 2:Load markers on demand (based on viewport)
Instead of loading all markers at once, load them only when the map viewport contains them.
This can be done using:
- Google Maps GeoJSON data layer
- Mapbox scroll events
Benefit:
- The browser only loads what is visible
- Smoother scrolling and zooming
Solution 3:Use WebGL-powered maps
Libraries like Mapbox GL JS use WebGL, which renders markers using the GPU instead of DOM elements.
With WebGL:
- Thousands of markers are rendered smoothly
- No DOM loading
- Great for data visualization
Example of displaying WebGL markers using Mapbox:
map.on('load', function () {
map.addSource('markers', {
type: 'geojson',
data: 'your-markers.geojson',
cluster: true,
clusterMaxZoom: 14,
clusterRadius: 50
});
});
Solution 4 : Pre-process your data using a CMS or API
Instead of embedding raw marker data into your Webflow project, consider:
- Hosting marker data on Airtable or Google Sheets
- Fetching only relevant data via API or Make.com scripts
- Filtering markers by category, region, or search
Solution 5 : Don’t embed all scripts in Webflow
When handling large datasets and maps, avoid pasting all JS into Webflow’s embed element.
- Host your scripts externally (on GitHub, CodePen, or your server)
- Load them with the <script src="..."> tag
This keeps your Webflow Designer clean and reduces latency in editing times.
Managing thousands of markers in Webflow is not impossible but requires smart planning.
My main strategy:
- Use clustering or WebGL-based maps
- Lazy loading of markers based on viewport
- Pre-processing data outside of Webflow
- Keep heavy scripts external