Real Estate Intel
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AI-powered real estate market intelligence using free public data sources. Analyze markets, find investment opportunities, and track development trends.
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Cody Churchwell
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You can access the Real Estate Intel programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.
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Examples: 'Austin, TX', '90210', '123 Main St, Boston, MA'", "items": { "type": "string" } }, "analysisType": { "title": "Analysis Type", "enum": [ "market_overview", "investment_opportunities", "development_hotspots", "foreclosure_analysis", "rental_market", "commercial_analysis" ], "type": "string", "description": "Type of real estate analysis to perform", "default": "market_overview" }, "dataModules": { "title": "Data Modules", "type": "array", "description": "Select which data sources to include", "items": { "type": "string", "enum": [ "property_records", "sales_history", "permit_data", "zoning_changes", "foreclosures", "tax_assessments", "market_trends", "demographic_data", "crime_data", "school_ratings" ], "enumTitles": [ "Property Records (ownership, details)", "Sales History (recent transactions)", "Building Permits (new construction, renovations)", "Zoning Changes (rezoning, variances)", "Foreclosures & Auctions", "Tax Assessments & Liens", "Market Trends (prices, inventory, 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"DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } }}OpenAPI is a standard for designing and describing RESTful APIs, allowing developers to define API structure, endpoints, and data formats in a machine-readable way. It simplifies API development, integration, and documentation.
OpenAPI is effective when used with AI agents and GPTs by standardizing how these systems interact with various APIs, for reliable integrations and efficient communication.
By defining machine-readable API specifications, OpenAPI allows AI models like GPTs to understand and use varied data sources, improving accuracy. This accelerates development, reduces errors, and provides context-aware responses, making OpenAPI a core component for AI applications.
You can download the OpenAPI definitions for Real Estate Intel from the options below:
If you’d like to learn more about how OpenAPI powers GPTs, read our blog post.
You can also check out our other API clients: