# Fotocasa Scraper (`gio21/fotocasa-scraper`) Actor Scrape real-estate listings from Fotocasa (fotocasa.es) - Spain's top property portal. Price, price/m², area, rooms, features, agency, images. Pay per listing. - **URL**: https://apify.com/gio21/fotocasa-scraper.md - **Developed by:** [Gio](https://apify.com/gio21) (community) - **Categories:** Real estate - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ## Fotocasa Scraper 🏠 Scrape property listings from **Fotocasa** (fotocasa.es) — Spain's leading real-estate portal. ### What it does Search listings by operation (buy/rent) + location, get structured property data: - **Title**, **price**, **price per m²** - **Area** (m²), **rooms**, **bathrooms**, **floor** - **Property type** (flat, house, studio, duplex, penthouse…) - **Location**: city, neighborhood - **Features** (terrace, parking, lift, AC, pool, furnished, garden…) - **Energy certificate** - **Agency / owner** and contact - **Images**, **description**, **reference code** - **URL** and **listingId** ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `operation` | string | `comprar` | `comprar` (sale), `alquiler` (rent), `alquiler-habitacion` (shared), `alquiler-vacacional` (vacation) | | `propertyType` | string | `viviendas` | `viviendas`, `oficinas`, `locales`, `naves`, `garajes`, `trasteros`, `terrenos` | | `location` | string | `madrid-capital` | Fotocasa location slug | | `startUrl` | string | — | Optional direct URL (overrides all filters) | | `maxItems` | integer | `50` | Max listings (cap 500) | | `maxPages` | integer | `5` | Max search pages | ### Output ```json { "listingId": "178987654", "title": "Piso en venta en Calle Gran Vía", "propertyType": "Piso", "operation": "comprar", "price": 450000, "currency": "EUR", "pricePerSqm": 5625, "area": 80, "rooms": 2, "bathrooms": 1, "location": "Madrid Capital", "neighborhood": "Centro", "features": ["Ascensor", "Aire acondicionado", "Terraza"], "agency": "Inmobiliaria XYZ", "images": ["https://static.fotocasa.es/..."], "url": "https://www.fotocasa.es/es/comprar/vivienda/madrid-capital/..." } ```` ### Pricing Pay-per-event: **$0.005 per listing** ($5 per 1,000). Free users: up to 15 listings per run. ### Use cases - PropTech / real-estate SaaS — property feeds for CRMs and price-comparison tools - Investment research — yield analysis by district - Relocation services — build client shortlists for Spain moves - Competitive intel — agency market share by neighborhood # Actor input Schema ## `operation` (type: `string`): Listing type ## `propertyType` (type: `string`): Type of property ## `location` (type: `string`): Fotocasa location slug (e.g. madrid-capital, barcelona-capital, valencia-capital, sevilla-capital) ## `startUrl` (type: `string`): Optional: direct Fotocasa search URL. Overrides operation/propertyType/location when set. ## `maxItems` (type: `integer`): Maximum number of listings to return. Each listing costs $0.005. Capped at 500 per run. ## `maxPages` (type: `integer`): Maximum search result pages (~30 listings per page). ## Actor input object example ```json { "operation": "comprar", "propertyType": "viviendas", "location": "madrid-capital", "maxItems": 20, "maxPages": 3 } ``` # Actor output Schema ## `results` (type: `string`): Property listings with price, area, rooms, features, agency, images and URL. # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "operation": "comprar", "propertyType": "viviendas", "location": "madrid-capital", "maxItems": 20, "maxPages": 3 }; // Run the Actor and wait for it to finish const run = await client.actor("gio21/fotocasa-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "operation": "comprar", "propertyType": "viviendas", "location": "madrid-capital", "maxItems": 20, "maxPages": 3, } # Run the Actor and wait for it to finish run = client.actor("gio21/fotocasa-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 '{ "operation": "comprar", "propertyType": "viviendas", "location": "madrid-capital", "maxItems": 20, "maxPages": 3 }' | apify call gio21/fotocasa-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=gio21/fotocasa-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Fotocasa Scraper", "description": "Scrape real-estate listings from Fotocasa (fotocasa.es) - Spain's top property portal. Price, price/m², area, rooms, features, agency, images. Pay per listing.", "version": "0.0", "x-build-id": "QWgJuXJEKLyQy3bTE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/gio21~fotocasa-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-gio21-fotocasa-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/gio21~fotocasa-scraper/runs": { "post": { "operationId": "runs-sync-gio21-fotocasa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/gio21~fotocasa-scraper/run-sync": { "post": { "operationId": "run-sync-gio21-fotocasa-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "operation", "location" ], "properties": { "operation": { "title": "Operation", "enum": [ "comprar", "alquiler", "alquiler-habitacion", "alquiler-vacacional" ], "type": "string", "description": "Listing type", "default": "comprar" }, "propertyType": { "title": "Property type", "enum": [ "viviendas", "oficinas", "locales", "naves", "garajes", "trasteros", "terrenos" ], "type": "string", "description": "Type of property", "default": "viviendas" }, "location": { "title": "Location slug", "type": "string", "description": "Fotocasa location slug (e.g. madrid-capital, barcelona-capital, valencia-capital, sevilla-capital)", "default": "madrid-capital" }, "startUrl": { "title": "Custom start URL (advanced)", "type": "string", "description": "Optional: direct Fotocasa search URL. Overrides operation/propertyType/location when set." }, "maxItems": { "title": "Max listings", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of listings to return. Each listing costs $0.005. Capped at 500 per run.", "default": 50 }, "maxPages": { "title": "Max pages", "minimum": 1, "maximum": 20, "type": "integer", "description": "Maximum search result pages (~30 listings per page).", "default": 5 } } }, "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 } } } } } } } } } } ```