# Infocasas.com Real Estate Scraper (`unfenced-group/infocasas-scraper`) Actor Real estate listings scraper for infocasas.com - **URL**: https://apify.com/unfenced-group/infocasas-scraper.md - **Developed by:** [Unfenced Group](https://apify.com/unfenced-group) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.50 / 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.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.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/platform/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 ## Infocasas Scraper Scrape real estate listings from **Infocasas**, the leading property portal across five Latin American countries: **Uruguay, Paraguay, Bolivia, Peru, and Colombia**. Supports filtering by location, property type, operation (sale/rent/temporary), price range, number of bedrooms, and publication date. --- ### Supported countries | Country | Domain | Code | |----------|---------------------------|------| | Uruguay | www.infocasas.com.uy | `uy` | | Paraguay | www.infocasas.com.py | `py` | | Bolivia | www.infocasas.com.bo | `bo` | | Peru | www.infocasas.com.pe | `pe` | | Colombia | www.infocasas.com.co | `co` | --- ### Input parameters | Parameter | Type | Default | Description | |----------------|---------|------------------|-------------| | `country` | string | `uy` | Country code: `uy`, `py`, `bo`, `pe`, `co` | | `operation` | string | `venta` | `venta` (sale), `alquiler` (rent), `temporal` (short-term) | | `propertyType` | string | `apartamentos` | See property types table below | | `location` | string | `montevideo` | City, neighborhood, or keyword. Leave empty for all country. | | `maxItems` | integer | `100` | Maximum number of listings to return | | `daysOld` | integer | `0` | Only listings published within N days. `0` = no filter | | `minPrice` | integer | — | Minimum price (in listing currency) | | `maxPrice` | integer | — | Maximum price (in listing currency) | | `bedrooms` | array | `[]` | Filter by bedroom count, e.g. `[2, 3]`. Empty = all | | `fetchDetails` | boolean | `false` | Fetch each listing detail to populate `latitude`, `longitude`, full `images` array, and `publishDate`. Slower — use only when coordinates or dates are required. | #### Property types | Value | Description | |----------------------|-------------------| | `apartamentos` | Apartments | | `casas` | Houses | | `terrenos` | Land | | `locales-comerciales`| Commercial units | | `oficinas` | Offices | | `campos` | Farms / Fields | | `garajes` | Garages | | `hoteles` | Hotels | | `galpones` | Industrial | --- ### Output fields Each scraped listing contains: | Field | Type | Description | |--------------------------|---------|-------------| | `id` | string | Unique listing ID | | `url` | string | Full listing URL | | `transaction` | string | `sale`, `rent`, or `temporary` | | `propertyType` | string | Property category | | `title` | string | Listing title | | `description` | string | Full property description | | `priceText` | string | Formatted price, e.g. `USD 250,000` | | `priceAmount` | number | Numeric price | | `priceCurrency` | string | `USD`, `UYU`, etc. | | `commonExpenses` | number | Monthly maintenance fee (if applicable) | | `commonExpensesCurrency` | string | Currency of common expenses | | `address` | string | Street address | | `neighborhood` | string | Neighborhood name | | `city` | string | City or department | | `country` | string | Country code (uppercase) | | `latitude` | number | Latitude (`fetchDetails: true` only) | | `longitude` | number | Longitude (`fetchDetails: true` only) | | `areaM2` | number | Built area in m² | | `landM2` | number | Land area in m² (`fetchDetails: true` only) | | `terraceM2` | number | Terrace area in m² (`fetchDetails: true` only) | | `rooms` | number | Total rooms | | `bedrooms` | number | Bedrooms | | `bathrooms` | number | Bathrooms | | `guests` | number | Guest capacity (temporary rentals) | | `isProject` | boolean | Whether listing is a development project | | `tour3d` | string | 3D tour URL (if available) | | `seaDistanceName` | string | Distance to sea label (coastal listings) | | `stratum` | number | Socioeconomic stratum (Colombia) | | `images` | array | Image URLs (up to 10; full gallery with `fetchDetails`) | | `agencyName` | string | Real estate agency name (null if private seller) | | `isPrivateSeller` | boolean | `true` if listed by a private individual | | `publishDate` | string | Publication date `YYYY-MM-DD` (`fetchDetails: true` only) | | `publishDateISO` | string | Full ISO publication timestamp | | `source` | string | Source domain, e.g. `infocasas.com.uy` | | `scrapedAt` | string | ISO timestamp of scrape | | `contentHash` | string | MD5 hash for change detection | --- ### Example output ```json { "id": "192534667", "url": "https://www.infocasas.com.uy/casa-pu-a-metros-del-shopping/192534667", "transaction": "sale", "propertyType": "House", "title": "Casa 4 dormitorios Tres Cruces", "description": "Casa de dos plantas con 14 mts de frente...", "priceText": "USD 320,000", "priceAmount": 320000, "priceCurrency": "USD", "commonExpenses": null, "commonExpensesCurrency": null, "address": "Presidente Batlle y Bv Artigas", "neighborhood": "La Blanqueada", "city": "Montevideo", "country": "UY", "latitude": null, "longitude": null, "areaM2": 161, "landM2": null, "terraceM2": null, "rooms": 5, "bedrooms": 4, "bathrooms": 2, "guests": null, "isProject": false, "tour3d": null, "seaDistanceName": null, "stratum": null, "images": ["https://cdn2.infocasas.com.uy/web/68505b76783b0_infocdn.jpg"], "agencyName": "CASAGRANDE", "isPrivateSeller": false, "publishDate": null, "publishDateISO": null, "source": "infocasas.com.uy", "scrapedAt": "2026-05-06T08:30:00.000Z", "contentHash": "a1b2c3d4e5f67890" } ```` *** ### Performance - **~300–500 listings/minute** without `fetchDetails` - **~60–80 listings/minute** with `fetchDetails: true` - No proxy required *** ### Pricing **$1.50 per 1,000 results** # Actor input Schema ## `country` (type: `string`): Country to scrape: Uruguay, Paraguay, Bolivia, Peru or Colombia. ## `operation` (type: `string`): Type of listing: for sale, for rent, or temporary rental. ## `propertyType` (type: `string`): Type of property to scrape. ## `location` (type: `string`): City, neighborhood or keyword. E.g. 'montevideo', 'pocitos', 'punta del este'. Leave empty for all country. ## `maxItems` (type: `integer`): Maximum number of listings to scrape. ## `daysOld` (type: `integer`): Only return listings published within this many days. 0 = no filter. ## `minPrice` (type: `integer`): Minimum listing price in the listing currency. Leave empty for no filter. ## `maxPrice` (type: `integer`): Maximum listing price in the listing currency. Leave empty for no filter. ## `bedrooms` (type: `array`): Filter by bedroom count. Enter a JSON array, e.g. \[2] or \[1,2,3]. Leave empty for all. ## `fetchDetails` (type: `boolean`): Fetch each listing detail to populate latitude, longitude, full image gallery and publication date. Slower — enable only when coordinates or dates are needed. ## Actor input object example ```json { "country": "uy", "operation": "venta", "propertyType": "apartamentos", "location": "Amsterdam", "maxItems": 5, "daysOld": 0, "bedrooms": [], "fetchDetails": false } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "location": "Amsterdam", "maxItems": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("unfenced-group/infocasas-scraper").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 = { "location": "Amsterdam", "maxItems": 5, } # Run the Actor and wait for it to finish run = client.actor("unfenced-group/infocasas-scraper").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 '{ "location": "Amsterdam", "maxItems": 5 }' | apify call unfenced-group/infocasas-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=unfenced-group/infocasas-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Infocasas.com Real Estate Scraper", "description": "Real estate listings scraper for infocasas.com", "version": "0.0", "x-build-id": "wefoGbdIL2MuBMUav" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/unfenced-group~infocasas-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-unfenced-group-infocasas-scraper", "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/unfenced-group~infocasas-scraper/runs": { "post": { "operationId": "runs-sync-unfenced-group-infocasas-scraper", "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/unfenced-group~infocasas-scraper/run-sync": { "post": { "operationId": "run-sync-unfenced-group-infocasas-scraper", "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", "properties": { "country": { "title": "Country", "enum": [ "uy", "py", "bo", "pe", "co" ], "type": "string", "description": "Country to scrape: Uruguay, Paraguay, Bolivia, Peru or Colombia.", "default": "uy" }, "operation": { "title": "Operation type", "enum": [ "venta", "alquiler", "temporal" ], "type": "string", "description": "Type of listing: for sale, for rent, or temporary rental.", "default": "venta" }, "propertyType": { "title": "Property type", "enum": [ "apartamentos", "casas", "terrenos", "locales-comerciales", "oficinas", "campos", "garajes", "hoteles", "galpones" ], "type": "string", "description": "Type of property to scrape.", "default": "apartamentos" }, "location": { "title": "Location / keyword", "type": "string", "description": "City, neighborhood or keyword. E.g. 'montevideo', 'pocitos', 'punta del este'. Leave empty for all country.", "default": "montevideo" }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of listings to scrape.", "default": 100 }, "daysOld": { "title": "Max age (days)", "minimum": 0, "type": "integer", "description": "Only return listings published within this many days. 0 = no filter.", "default": 0 }, "minPrice": { "title": "Min price", "type": "integer", "description": "Minimum listing price in the listing currency. Leave empty for no filter." }, "maxPrice": { "title": "Max price", "type": "integer", "description": "Maximum listing price in the listing currency. Leave empty for no filter." }, "bedrooms": { "title": "Bedrooms", "type": "array", "description": "Filter by bedroom count. Enter a JSON array, e.g. [2] or [1,2,3]. Leave empty for all.", "default": [] }, "fetchDetails": { "title": "Fetch details (lat/long, images, date)", "type": "boolean", "description": "Fetch each listing detail to populate latitude, longitude, full image gallery and publication date. Slower — enable only when coordinates or dates are needed.", "default": false } } }, "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 } } } } } } } } } } ```