Articles on: Property Search & Filtering

Using Mapping Libraries with Our Real Estate Data APIs

Overview


Our platform provides comprehensive real estate data through our APIs, but we are a headless service. This means we supply the data—not the front-end visualization tools. When you see our demos featuring maps with Google Maps, Mapbox, or Leaflet, these are examples of how our data can be integrated with third-party mapping libraries.


What's Included in Our Service


Our APIs provide:


  • Real estate property data with geocoded coordinates
  • Features designed for map-based applications, like our clustering solution that groups nearby properties for optimal map performance
  • Data formatted for easy integration with popular mapping platforms
  • Documentation and code examples showing integration patterns


What's NOT Included in Our Service


Our service does not include:


  • Mapping libraries or map visualization tools
  • Map tiles, satellite imagery, or base maps
  • Costs associated with third-party mapping platforms


Third-Party Mapping Platform Costs


If you choose to visualize our data on a map, you will need to:


  1. Select a mapping platform that meets your needs
  2. Create an account with that platform provider
  3. Pay any applicable fees directly to that provider according to their pricing structure


Each mapping platform has its own pricing model:


  • Google Maps Platform: Pay-per-use pricing with free monthly credits
  • Mapbox: Tiered pricing based on map loads and API requests
  • Leaflet: Free and open-source (though you may need tile providers)


These costs are separate from and in addition to your subscription with our service.


Getting Started


To integrate our real estate data with a mapping library:


  1. Choose a mapping platform that fits your budget and requirements
  2. Set up an account with your chosen mapping provider
  3. Use our integration examples as a starting point for your implementation
  4. Customize the front-end experience to match your brand and use case


What questions does this article answer?


  • What does Repliers provide (data) vs. what mapping libraries (Google Maps, Mapbox, Leaflet) provide (visualization)?
  • How do I integrate Repliers listing data into a map UI from a third-party mapping library?
  • How do features like clustering and geocoded coordinates fit into my mapping stack?
  • What kind of mapping integrations are shown in Repliers demos and how should I replicate them?

Updated on: 05/12/2025

Was this article helpful?

Share your feedback

Cancel

Thank you!