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RealEstateAPI

API for Building Disruptive Prop-Tech Applications

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Description

RealEstateAPI offers a robust platform designed for application developers aiming to innovate within the real estate technology sector. It provides a family of APIs that facilitate real-time data retrieval and manipulation, focusing on cleaned, normalized, and transformed property information. This system supports building engaging applications by offering access to vast datasets including property details, historical MLS records, mortgage data, lien information, parcel boundaries, and owner contact details.

The platform emphasizes performance, ensuring sub-second response times for large data retrievals and maintaining high uptime. It is engineered to support the development of advanced features, including AI model training using its comprehensive datasets for predictive analytics and proprietary insights. Developers can leverage various endpoints for specific needs like property searches, comparative market analysis, skip tracing, and bulk data processing, or request custom endpoints.

Key Features

  • Property Search API: Slice through mountains of data to find properties matching strict criteria.
  • Parcel Boundary API: Get parcel boundaries in GEO JSON format for map applications.
  • Comprehensive Property Data Access: Access current/historical MLS, mortgage, lien, and owner demographic/contact data.
  • AI Enablement: Use datasets to train AI models for forecasting and insights.
  • Bulk Processing APIs: Handle large volumes of data for property details and skip tracing.
  • Service APIs: Includes Address Auto-complete, CSV Generator, and Address Verification.
  • Enterprise Grade Performance: Sub 1-second response times for large queries and 99.9% uptime.
  • Developer Support: Direct assistance and community support via Discord.

Use Cases

  • Building comprehensive real estate platforms.
  • Developing map-based property information applications.
  • Analyzing market trends using MLS, mortgage, and lien data.
  • Training AI models for real estate forecasting.
  • Connecting property data with homeowner contact information.
  • Integrating property search capabilities into applications.
  • Performing bulk skip tracing for property owners.

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