Why agents and investors choose GeoDataMapper
Most mapping tools force you to choose between a beautiful frontend and real spatial analysis. GeoDataMapper gives you both: smooth Google Maps & Mapbox visualization layered with property-level analytics that ArcGIS or Carto cost 5–10x more to deliver. Real estate professionals waste hours every week stitching CSV exports into mapping tools that weren't built for property data. The result is brittle, manual workflows that break the moment a column changes. GeoDataMapper is designed around the real estate use case from day one: address geocoding, price-weighted heatmaps, neighborhood scoring, watchlists with price history, and a sharing layer your clients can actually use without creating an account.
Property heatmaps that actually mean something
Price-weighted heatmaps highlight hotspots automatically. Filter by category, beds, status, or price range — the heatmap updates instantly. Pair with clustering to keep dense urban markets readable. You can weight the kernel by list price, sold price, price per square foot, days on market, or a custom score. The radius and intensity sliders give you precise control over how aggressively neighboring points blend, which matters when you're comparing tight urban grids against sprawling suburban tracts in the same dataset.
Neighborhood scoring and smart recommendations
Every property gets a neighborhood score combining nearby amenities, school proximity, and market velocity. The Smart Recommendations engine surfaces properties that match the categories already in your watchlist. Scores are computed against real platform data — never mock data — so when a new listing arrives in your dataset, the score reflects the actual amenity density and price trajectory of that block. Investors use the score as a first-pass filter before diving into a manual underwriting workflow.
Watchlist with price history
Save any property to your watchlist. Price changes are logged automatically and visualized as time-series charts. Compare 2–3 watchlisted properties side by side with full neighborhood scoring.
- Real-time price drop alerts
- Historical chart per property
- Side-by-side comparison view
- Export watchlist as CSV/GeoJSON
Designed for the workflows you already have
Drop your existing CSV/shapefile of comps into the map in seconds. Layer in zoning from Urban Planning. Share read-only map links with clients — no signup required for them to view. The shared URL preserves your style, filters, and zoom level so the client sees exactly what you saw. For team workflows, the public API (Pro tier) lets you push listings programmatically from your CRM or MLS sync job.
Common real estate workflows we accelerate
GeoDataMapper is used daily for a handful of repeatable workflows: pulling comps within a 1-mile radius of a subject property, generating a buyer-tour route across saved listings, building investor presentations with a price heatmap as the centerpiece, mapping a portfolio of rentals against school districts, and overlaying flood zones on a list of acquisition targets. Each of these workflows used to require ArcGIS plus a handful of Excel files. Now they take minutes in a browser.
Data import, geocoding, and CRS handling
Upload a CSV with address columns and we geocode them server-side using the Lovable AI Gateway, with rate limiting that protects your free tier from runaway costs. Upload a shapefile and we extract the .zip in a web worker, validate WGS84 coordinates, reproject from any CRS via proj4 if needed, and warn you about projected coordinate systems before they cause silent positioning bugs. The same pipeline accepts GeoJSON and KML.
Sharing maps with clients, lenders, and partners
Every saved map produces a shareable URL that bakes in your engine choice, basemap style, filters, and zoom. Clients who open the link see exactly the view you crafted — no signup, no app install. For higher-touch presentations, export the map as PNG or generate a static-map snapshot via the included Edge function. The combination covers everything from a quick text-message preview to a polished investor packet.
Pricing built for solo investors and small teams
Free tier covers small portfolios and one-off analyses. Basic ($20/mo) handles weekly comp pulls and unlocks heatmap export. Premium ($40/mo) adds the comparison view and larger upload limits. Pro ($80/mo) opens the public API for CRM/MLS automation and the highest data caps. There are no per-seat fees on Basic or Premium, which makes GeoDataMapper materially cheaper than enterprise GIS for a 2–3 person investing team.
Frequently asked questions
Do I need GIS experience?▾
No. The default view is a familiar Google Maps interface with one-click filters. Power users can unlock Mapbox-style customization in settings.
Can I import my MLS or CSV exports?▾
Yes — drop a CSV with lat/lng columns or a zipped shapefile and it renders instantly. Up to 10 MB on Free, larger on paid plans.
How is this different from Zillow or Redfin?▾
Those are consumer listing sites. GeoDataMapper is a workspace where you bring your own data and build private maps for clients, investors, or your team.
What does it cost?▾
Free tier with limited uploads, Basic $20/mo, Premium $40/mo, Pro $80/mo. Pro unlocks public API access and the highest upload caps.
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