# Idealista Custom Area Scraper - Custom Polygon (`skebby/idealista-scraper`) Actor Scrapes real estate listings from Idealista (Italy), filtered by a geographic polygon drawn on Idealista's map. - **URL**: https://apify.com/skebby/idealista-scraper.md - **Developed by:** [Sebastiano Riva](https://apify.com/skebby) (community) - **Categories:** Real estate - **Stats:** 2 total users, 1 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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.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 Listings Scraper Scrapes real estate listings from Idealista (Italy), filtered by a geographic polygon drawn on Idealista's map. ### Pricing **$1.00 per 1,000 results** (billed via Apify pay-per-event at $0.001/item). --- ### Input | Parameter | Type | Required | Description | |-----------|------|----------|-------------| | `searchUrl` | string | Recommended | Paste any Idealista search URL with a drawn polygon (the `?shape=` parameter). Both plain and URL-encoded URLs are accepted. | | `polygon` | array | Advanced | Alternative to `searchUrl`: polygon vertices as `[[lat, lng], ...]` (min 3 vertices). Ignored if `searchUrl` is provided. | | `maxPages` | integer | No | Maximum number of result pages to fetch. Leave empty to fetch all pages. | | `maxItems` | integer | No | Maximum number of listings to return overall. | | `maxItemsPerPage` | integer | No | Items per API page (default: 50, max: 50). | #### How to get the search URL 1. Go to [idealista.it](https://www.idealista.it) and run a search 2. Click "Disegna area" (Draw area) and draw your polygon on the map 3. Copy the URL from your browser's address bar — it will contain `?shape=...` 4. Paste it as `searchUrl` #### Example input (URL-based) ```json { "searchUrl": "https://www.idealista.it/aree/vendita-case/?shape=%28%28ajetG%7DnzaA...%29%29" } ```` #### Example input (polygon coordinates) ```json { "polygon": [ [45.41617, 10.95423], [45.42099, 10.96149], [45.41780, 10.96634], [45.41566, 10.96264], [45.41208, 10.96672], [45.40991, 10.96488], [45.41301, 10.95831] ], "maxPages": 2, "maxItems": 10 } ``` *** ### Output Each item in the dataset contains: | Field | Type | Description | |-------|------|-------------| | `id` | string | Prefixed listing ID (e.g., `ide_35173114`) | | `typology` | string | Property type (Appartamento, Casa, Attico, etc.) | | `price_raw` | float | Listing price in EUR | | `surface_sqm` | float | Surface area in m² | | `rooms` | int | Number of rooms | | `bedrooms` | int | Number of bedrooms | | `bathrooms` | int | Number of bathrooms | | `floor` | string | Floor number or description | | `condition` | string | Property condition (Buono, Nuovo, Da ristrutturare, etc.) | | `street` | string | Street address | | `neighborhood` | string | Neighborhood name | | `district` | string | District name | | `latitude` | float | GPS latitude | | `longitude` | float | GPS longitude | | `agency_name` | string | Real estate agency name | | `share_url` | string | Direct link to the Idealista listing | | `image_cover` | string | Cover image URL | | `has_parking` | bool | Has a parking space | | `has_lift` | bool | Has an elevator | | `created_at` | string | ISO 8601 scrape timestamp | #### Example output item ```json { "id": "ide_35173114", "typology": "Appartamento", "price_raw": 195000.0, "surface_sqm": 85.0, "rooms": 3, "bathrooms": 1, "floor": "3", "condition": "Buono", "street": "Via Mazzini", "neighborhood": "Centro Storico", "district": "Verona", "latitude": 45.4385, "longitude": 10.9916, "agency_name": "Agenzia Immobiliare XYZ", "share_url": "https://www.idealista.it/immobile/35173114/", "image_cover": "https://img3.idealista.it/blur/...", "has_parking": false, "has_lift": true, "created_at": "2025-04-07T10:23:45+00:00" } ``` # Actor input Schema ## `searchUrl` (type: `string`): Paste any Idealista search URL that contains a drawn polygon (the ?shape= parameter). Both plain and URL-encoded URLs are accepted. Example: https://www.idealista.it/aree/vendita-case/?shape=((ajetG}nzaA...)) ## `polygon` (type: `array`): Alternative to Search URL: polygon vertices as \[\[lat, lng], \[lat, lng], ...]. Ignored if searchUrl is provided. ## `maxPages` (type: `integer`): Maximum number of result pages to fetch. Leave empty to fetch all pages. ## `maxItems` (type: `integer`): Maximum number of listings to return overall. ## `maxItemsPerPage` (type: `integer`): Number of listings per API page (default: 50, max: 50). ## Actor input object example ```json { "maxItemsPerPage": 50 } ``` # Actor output Schema ## `listings` (type: `string`): Dataset of scraped property listings with full details (price, sqm, rooms, address, image, link, etc.) # 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 = { "searchUrl": "" }; // Run the Actor and wait for it to finish const run = await client.actor("skebby/idealista-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 = { "searchUrl": "" } # Run the Actor and wait for it to finish run = client.actor("skebby/idealista-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 '{ "searchUrl": "" }' | apify call skebby/idealista-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=skebby/idealista-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Idealista Custom Area Scraper - Custom Polygon", "description": "Scrapes real estate listings from Idealista (Italy), filtered by a geographic polygon drawn on Idealista's map.", "version": "0.1", "x-build-id": "OpNCTrXFSrlwaqBg0" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/skebby~idealista-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-skebby-idealista-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/skebby~idealista-scraper/runs": { "post": { "operationId": "runs-sync-skebby-idealista-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/skebby~idealista-scraper/run-sync": { "post": { "operationId": "run-sync-skebby-idealista-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": { "searchUrl": { "title": "Idealista Search URL", "type": "string", "description": "Paste any Idealista search URL that contains a drawn polygon (the ?shape= parameter). Both plain and URL-encoded URLs are accepted. Example: https://www.idealista.it/aree/vendita-case/?shape=((ajetG}nzaA...))" }, "polygon": { "title": "Polygon (advanced)", "type": "array", "description": "Alternative to Search URL: polygon vertices as [[lat, lng], [lat, lng], ...]. Ignored if searchUrl is provided." }, "maxPages": { "title": "Max Pages", "minimum": 1, "type": "integer", "description": "Maximum number of result pages to fetch. Leave empty to fetch all pages." }, "maxItems": { "title": "Max Items", "minimum": 1, "type": "integer", "description": "Maximum number of listings to return overall." }, "maxItemsPerPage": { "title": "Items per Page", "minimum": 1, "maximum": 50, "type": "integer", "description": "Number of listings per API page (default: 50, max: 50).", "default": 50 } } }, "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 } } } } } } } } } } ```