# Idealista MCP Scraper (`axlymxp/idealista-mcp-scraper`) Actor MCP server + scraper for Idealista. Search properties, locations and agents live from Claude, ChatGPT, Cursor and other AI agents — or run it as a classic Idealista scraper (Spain, Italy, Portugal). - **URL**: https://apify.com/axlymxp/idealista-mcp-scraper.md - **Developed by:** [axly](https://apify.com/axlymxp) (community) - **Categories:** AI, Agents, Lead generation - **Stats:** 0 total users, 0 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 1,000 results This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage. 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 ## Idealista MCP Scraper Query **Idealista** — Spain, Italy and Portugal's biggest real-estate marketplace — **live from your AI agent**. This Actor is a **Model Context Protocol (MCP) server**: connect Claude, ChatGPT, Cursor, n8n or any MCP client and search properties, resolve locations, pull full property details and find agents by phone in real time. It also runs as a **classic one-shot scraper** when you just want a dataset. Built on Idealista's official Android mobile API with HMAC request signing — **no proxy required, no datacenter blocks**. --- ### Why use this Actor - **MCP-native** — your AI agent calls Idealista directly, no glue code. - **3 countries** — Spain (`es`), Italy (`it`), Portugal (`pt`). - **Official mobile API** — reliable, fast, structured JSON (no fragile HTML parsing). - **Powerful filters** — price, size, bedrooms, bathrooms, operation, property type, recency. - **Agent lookup** — find every listing published by a phone number. - **Dual mode** — live MCP server _or_ classic scraper to a dataset. --- ### MCP tools | Tool | What it does | | ------------------------------- | ------------------------------------------------------------------------------- | | `search_idealista_properties` | Search listings by location name (auto-resolved) with full filters. | | `search_idealista_locations` | Autocomplete locations → returns official `locationId` / `zoiId`. | | `get_idealista_property_detail` | Full detail for one property by `propertyCode` (description, photos, features). | | `search_idealista_by_phone` | Find all listings published by an agent's phone number. | #### Example agent prompts > "Find 20 flats for sale in Chamberí, Madrid under €600,000 with at least 2 bedrooms." > "Resolve the location ID for 'primera línea de playa de Málaga'." > "Get the full details for Idealista property 106534215." > "List every property listed by agent phone 865440400." --- ### Connecting an MCP client Start the Actor in **Standby mode**, then point your MCP client at the Streamable HTTP endpoint: ```` https:///mcp ```` **Claude Desktop / Cursor** (`mcp.json`): ```json { "mcpServers": { "idealista": { "url": "https:///mcp", "headers": { "Authorization": "Bearer " } } } } ```` *** ### Classic scraper mode Prefer a plain dataset? Run the Actor normally with an input. Provide a `location` (or a `phone`) and the Actor paginates and pushes normalized rows to the dataset. #### Example input ```json { "country": "es", "location": "Madrid", "operation": "sale", "propertyType": "homes", "minPrice": 100000, "maxPrice": 500000, "minRooms": 2, "sortBy": "price", "limit": 60, "fetchFullDetails": false } ``` #### Input parameters | Field | Type | Description | | ----------------------- | ------- | --------------------------------------------------------------------------------------------------------------- | | `country` | string | `es`, `it` or `pt`. Default `es`. | | `location` | string | City / area / neighborhood name (auto-resolved). | | `phone` | string | Optional — scrape all listings by an agent phone number. | | `operation` | string | `sale` or `rent`. | | `propertyType` | string | `homes`, `newDevelopments`, `offices`, `premises`, `garages`, `lands`, `storageRooms`, `buildings`, `bedrooms`. | | `limit` | integer | Max properties to return. Default 60. | | `minPrice` / `maxPrice` | integer | Price range in euros. | | `minSize` / `maxSize` | integer | Size range in m². | | `minRooms` | integer | Minimum bedrooms. | | `minBathrooms` | integer | Minimum bathrooms. | | `sortBy` | string | `weigh` (relevance), `price`, `publicationDate`, `size`. | | `sinceDate` | string | `-1` (any), `T` (24h), `Y` (48h), `W` (week), `M` (month). | | `fetchFullDetails` | boolean | Also fetch full description, images and features per property. | *** ### Output fields Each dataset row is a normalized property: | Field | Description | | --------------------------------------- | -------------------------------------------- | | `propertyCode` | Idealista property ID. | | `url` | Listing URL. | | `price` | Price in euros. | | `size` | Size in m². | | `rooms` / `bathrooms` | Bedroom / bathroom counts. | | `address` / `municipality` / `province` | Location. | | `latitude` / `longitude` | GPS coordinates. | | `thumbnail` | Main image. | | `operation` / `propertyType` | Listing classification. | | `country` | Market (`es` / `it` / `pt`). | | `description` / images / features | Included when `fetchFullDetails` is enabled. | *** ### Pricing This Actor uses **Pay Per Event**: a flat fee per MCP tool call (and per classic run that performs the same work). You only pay for what your agent actually queries. *** ### Use cases - **Real-estate market research** — track prices and inventory by area. - **Lead generation** — find listings and the agents behind them. - **Price monitoring** — schedule runs and watch a neighborhood over time. - **AI assistants** — give your agent live property search super-powers. *** ### Scheduling & integration Run it on a schedule, trigger via the Apify API, or wire dataset webhooks into your CRM / data warehouse. In MCP mode, keep it in Standby and let your agents query on demand. *** ### FAQ **Do I need a proxy?** No. The official mobile API works directly. **Which countries are supported?** Spain, Italy and Portugal. **Can I use it without an AI agent?** Yes — run it as a classic scraper with a `location` input. **Is this affiliated with Idealista?** No. This is an independent tool that uses Idealista's public mobile API. # Actor input Schema ## `country` (type: `string`): Market to scrape: Spain (es), Italy (it) or Portugal (pt). ## `location` (type: `string`): City, area or neighborhood to search, e.g. 'Madrid', 'Barcelona', 'Chamberí'. Resolved automatically via autocomplete. Required for classic location runs. ## `phone` (type: `string`): Optional. Scrape all listings published by a specific agent using their phone number (instead of a location). ## `operation` (type: `string`): Listing type: sale (buy) or rent. ## `propertyType` (type: `string`): Main property category. ## `limit` (type: `integer`): Maximum number of properties to retrieve in a classic run. ## `minPrice` (type: `integer`): Minimum price in euros. ## `maxPrice` (type: `integer`): Maximum price in euros. ## `minSize` (type: `integer`): Minimum size in square meters. ## `maxSize` (type: `integer`): Maximum size in square meters. ## `minRooms` (type: `integer`): Minimum number of bedrooms. ## `minBathrooms` (type: `integer`): Minimum number of bathrooms. ## `sortBy` (type: `string`): How to sort the results. ## `sinceDate` (type: `string`): Filter by publication date. ## `fetchFullDetails` (type: `boolean`): Also fetch the full description, all images and features for every property (slower, more API calls). ## Actor input object example ```json { "country": "es", "location": "Madrid", "operation": "sale", "propertyType": "homes", "limit": 60, "sortBy": "weigh", "sinceDate": "-1", "fetchFullDetails": false } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("axlymxp/idealista-mcp-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 = {} # Run the Actor and wait for it to finish run = client.actor("axlymxp/idealista-mcp-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 '{}' | apify call axlymxp/idealista-mcp-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=axlymxp/idealista-mcp-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Idealista MCP Scraper", "description": "MCP server + scraper for Idealista. Search properties, locations and agents live from Claude, ChatGPT, Cursor and other AI agents — or run it as a classic Idealista scraper (Spain, Italy, Portugal).", "version": "1.0", "x-build-id": "iolVaEw6ZQZrDK6LI" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/axlymxp~idealista-mcp-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-axlymxp-idealista-mcp-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/axlymxp~idealista-mcp-scraper/runs": { "post": { "operationId": "runs-sync-axlymxp-idealista-mcp-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/axlymxp~idealista-mcp-scraper/run-sync": { "post": { "operationId": "run-sync-axlymxp-idealista-mcp-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "es", "it", "pt" ], "type": "string", "description": "Market to scrape: Spain (es), Italy (it) or Portugal (pt).", "default": "es" }, "location": { "title": "Location Name", "type": "string", "description": "City, area or neighborhood to search, e.g. 'Madrid', 'Barcelona', 'Chamberí'. Resolved automatically via autocomplete. Required for classic location runs." }, "phone": { "title": "Agent Phone Number", "type": "string", "description": "Optional. Scrape all listings published by a specific agent using their phone number (instead of a location)." }, "operation": { "title": "Operation", "enum": [ "sale", "rent" ], "type": "string", "description": "Listing type: sale (buy) or rent.", "default": "sale" }, "propertyType": { "title": "Property Type", "enum": [ "homes", "newDevelopments", "offices", "premises", "garages", "lands", "storageRooms", "buildings", "bedrooms" ], "type": "string", "description": "Main property category.", "default": "homes" }, "limit": { "title": "Maximum Results", "minimum": 1, "maximum": 5000, "type": "integer", "description": "Maximum number of properties to retrieve in a classic run.", "default": 60 }, "minPrice": { "title": "Minimum Price (€)", "minimum": 0, "type": "integer", "description": "Minimum price in euros." }, "maxPrice": { "title": "Maximum Price (€)", "minimum": 0, "type": "integer", "description": "Maximum price in euros." }, "minSize": { "title": "Minimum Size (m²)", "minimum": 0, "type": "integer", "description": "Minimum size in square meters." }, "maxSize": { "title": "Maximum Size (m²)", "minimum": 0, "type": "integer", "description": "Maximum size in square meters." }, "minRooms": { "title": "Minimum Bedrooms", "minimum": 0, "type": "integer", "description": "Minimum number of bedrooms." }, "minBathrooms": { "title": "Minimum Bathrooms", "minimum": 0, "type": "integer", "description": "Minimum number of bathrooms." }, "sortBy": { "title": "Sort By", "enum": [ "weigh", "price", "publicationDate", "size" ], "type": "string", "description": "How to sort the results.", "default": "weigh" }, "sinceDate": { "title": "Published Since", "enum": [ "-1", "T", "Y", "W", "M" ], "type": "string", "description": "Filter by publication date.", "default": "-1" }, "fetchFullDetails": { "title": "Fetch Full Details", "type": "boolean", "description": "Also fetch the full description, all images and features for every property (slower, more API calls).", "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 } } } } } } } } } } ```