# Smart Real Estate Extractor (`ms-automations/smart-real-estate-extractor`) Actor Extractor universal y sin configuración de datos inmobiliarios (JSON-LD, OpenGraph/meta tags y fallback opcional con IA). - **URL**: https://apify.com/ms-automations/smart-real-estate-extractor.md - **Developed by:** [Manuel Salazar](https://apify.com/ms-automations) (community) - **Categories:** Real estate, AI - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README ## 🏠 Real Estate Data Extractor Pro (With AI Fallback) Extract high-quality real estate data from global portals (Zillow, Idealista, and more) with maximum reliability. Built with smart anti-bot measures and an automatic AI fallback to ensure no field is left blank. --- ### ✨ Key Features * **Hybrid Extraction Engine:** Uses standard JSON-LD parsing for ultra-fast performance. * **AI Fallback (Claude Haiku 4.5 / GPT-4o mini):** Automatically scans the listing description with AI whenever key fields (like bedrooms or bathrooms) are missing. * **Anti-Bot Protection:** Pre-configured with Apify Residential Proxies and automatic retries to bypass strict anti-scraping systems (403 errors). * **Zero Configuration Needed:** Simply enter your target URLs and run. --- ### 📊 Extracted Data Fields | Field | Type | Description | | :--- | :--- | :--- | | `title` | String | Title of the property listing | | `price` | Number | Listing price | | `currency` | String | Currency code (USD, EUR, etc.) | | `address` | String | Full property address | | `bedrooms` | Number | Total number of bedrooms | | `bathrooms` | Number | Total number of bathrooms | | `sqft_or_m2` | Number | Total living area size | | `extractionMethod` | String | Indicates if data came from `json-ld` or `json-ld + ai-fallback` | --- ### 🚀 How to Use 1. Paste your target listing URLs into the **Start URLs** input field. 2. Select your max items limit. 3. Keep the **AI Fallback** option toggled ON for maximum data completeness. 4. Click **Start** and export your structured data in JSON, CSV, or Excel! # Actor input Schema ## `startUrls` (type: `array`): Añade las URLs de las propiedades específicas o de los resultados de búsqueda que deseas extraer. ## `maxItems` (type: `integer`): Número máximo de propiedades a extraer. Útil para controlar el uso y los costos. ## `useAiFallback` (type: `boolean`): Si la extracción estándar falla al encontrar habitaciones o baños, la IA analizará la descripción para rescatar los datos. ## `proxyConfiguration` (type: `object`): Selecciona los proxies para evitar el error '403 Forbidden'. Se recomiendan Proxies Residenciales para sitios inmobiliarios. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.zillow.com/homedetails/11-W-53rd-St-APT-15-New-York-NY-10019/31533036_zpid/" } ], "maxItems": 50, "useAiFallback": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ```` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "startUrls": [ { "url": "https://www.zillow.com/homedetails/11-W-53rd-St-APT-15-New-York-NY-10019/31533036_zpid/" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("ms-automations/smart-real-estate-extractor").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "startUrls": [{ "url": "https://www.zillow.com/homedetails/11-W-53rd-St-APT-15-New-York-NY-10019/31533036_zpid/" }] } # Run the Actor and wait for it to finish run = client.actor("ms-automations/smart-real-estate-extractor").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "startUrls": [ { "url": "https://www.zillow.com/homedetails/11-W-53rd-St-APT-15-New-York-NY-10019/31533036_zpid/" } ] }' | apify call ms-automations/smart-real-estate-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ms-automations/smart-real-estate-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Smart Real Estate Extractor", "description": "Extractor universal y sin configuración de datos inmobiliarios (JSON-LD, OpenGraph/meta tags y fallback opcional con IA).", "version": "1.0", "x-build-id": "eZu7p1BfKkVfmgwYL" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ms-automations~smart-real-estate-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ms-automations-smart-real-estate-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ms-automations~smart-real-estate-extractor/runs": { "post": { "operationId": "runs-sync-ms-automations-smart-real-estate-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ms-automations~smart-real-estate-extractor/run-sync": { "post": { "operationId": "run-sync-ms-automations-smart-real-estate-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "startUrls", "proxyConfiguration" ], "properties": { "startUrls": { "title": "URLs de Inicio (Listados o Búsquedas)", "type": "array", "description": "Añade las URLs de las propiedades específicas o de los resultados de búsqueda que deseas extraer.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Límite de Propiedades (Max Items)", "minimum": 1, "type": "integer", "description": "Número máximo de propiedades a extraer. Útil para controlar el uso y los costos.", "default": 50 }, "useAiFallback": { "title": "Activar Extracción Inteligente con IA", "type": "boolean", "description": "Si la extracción estándar falla al encontrar habitaciones o baños, la IA analizará la descripción para rescatar los datos.", "default": true }, "proxyConfiguration": { "title": "Configuración de Proxy (Anti-Bot)", "type": "object", "description": "Selecciona los proxies para evitar el error '403 Forbidden'. Se recomiendan Proxies Residenciales para sitios inmobiliarios.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "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": "integer", "example": 1 }, "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 } } }, "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 } } } } } } } } } } ```