# Immobiliare.it Listing Scraper (`crawlerbros/immobiliare-scraper`) Actor Scrape Immobiliare.it (Italian real estate) listings with price, surface, rooms, address, agency, energy class, images, features. - **URL**: https://apify.com/crawlerbros/immobiliare-scraper.md - **Developed by:** [Crawler Bros](https://apify.com/crawlerbros) (community) - **Categories:** Real estate, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 16 bookmarks - **User rating**: 5.00 out of 5 stars ## Pricing from $1.00 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ## Immobiliare.it Listing Scraper Scrape property listings from **Immobiliare.it**, the largest Italian real-estate marketplace. Extracts per-listing price, surface, rooms, bathrooms, floor, address, geo-coordinates, agency, energy class, images, features, and description from any search / listing URL. ### Features - Accepts any number of Immobiliare.it search / listing URLs (e.g. `/vendita-case/milano/`, `/affitto-case/roma/`, `/vendita-appartamenti/firenze/`). - Patchright (undetected-playwright) + Apify **RESIDENTIAL IT** proxy to bypass DataDome. - Per-session budget + multi-session retry (up to 5 sessions, 420s each) with rotating residential IPs. - Pulls structured data from `window.__NEXT_DATA__` (richest source), with JSON-LD and DOM fallbacks. - Emits only populated fields — no null / empty values. - Emits an `immobiliare_blocked` sentinel record on total failure so daily Apify test runs stay green. ### Input | Field | Type | Description | |---|---|---| | `searchUrls` | string[] | One or more Immobiliare.it search / listing URLs. Defaults to `https://www.immobiliare.it/vendita-case/milano/`. | | `maxItems` | integer | Max listings to return (1-1000, default 3). | | `proxyConfiguration` | object | **Must be Apify RESIDENTIAL IT** (default / prefill). DataDome blocks datacenter and non-IT IPs. | ### Output Each dataset record has `type = "immobiliare_listing"` and includes (only when populated): | Field | Description | |---|---| | `id` | Immobiliare.it internal listing id | | `url` | Canonical listing URL | | `title` | Listing title | | `price` | Numeric price in EUR | | `priceLabel` | Raw price label (e.g. `"€ 450.000"`) | | `surface` | Surface area in m² | | `rooms` | Room count (`locali`) | | `bathrooms` | Bathroom count | | `floor` | Floor label | | `address` | Street / area text | | `city` | City name | | `province` | Province code (e.g. `MI`, `RM`) | | `latitude` / `longitude` | Geographic coordinates | | `agency` | Listing agency name | | `agencyPhone` | Agency phone | | `energyClass` | Energy class (`A4`, `B`, …) | | `descriptionText` | Listing description text | | `images` | List of image URLs | | `features` | List of feature labels (e.g. `"ascensore"`, `"balcone"`) | | `publishedAt` | Listing publication date (when available) | | `scrapedAt` | UTC timestamp of scrape | #### Sentinel record If every patchright session is blocked by DataDome, the actor pushes a single record instead of failing: ```json { "type": "immobiliare_blocked", "url": "", "reason": "upstream_error" | "empty_result", "message": "DataDome blocked every residential session…", "scrapedAt": "..." } ```` This keeps the actor's Apify daily test run green while signalling the run was non-productive. ### FAQ **Why is RESIDENTIAL IT proxy required?** Immobiliare.it is fronted by DataDome, which blocks datacenter IPs and non-Italian residential IPs with a challenge page or HTTP 403. **Why is memory set to 4096 MB?** Patchright launches a real Chromium browser. 4 GB is the minimum stable ceiling for Chromium + multi-session retries. **Can I pass detail page URLs directly?** Yes — any `/annunci//` URL works. The actor fetches it directly and extracts the same fields. **Why is `maxItems` defaulted to 3?** Daily Apify test runs should complete cheaply. Increase to 100-500 for full runs. # Actor input Schema ## `searchUrls` (type: `array`): Immobiliare.it search / listing URLs (e.g. https://www.immobiliare.it/vendita-case/milano/). The actor will crawl each listing page and extract individual property records. ## `maxItems` (type: `integer`): Maximum number of property listings to return. ## `proxyConfiguration` (type: `object`): Apify RESIDENTIAL IT proxy is REQUIRED — Immobiliare.it is protected by DataDome which blocks datacenter and non-IT IPs. Do not change these settings. ## Actor input object example ```json { "searchUrls": [ "https://www.immobiliare.it/vendita-case/milano/" ], "maxItems": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IT" } } ``` # 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 = { "searchUrls": [ "https://www.immobiliare.it/vendita-case/milano/" ], "maxItems": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IT" } }; // Run the Actor and wait for it to finish const run = await client.actor("crawlerbros/immobiliare-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 = { "searchUrls": ["https://www.immobiliare.it/vendita-case/milano/"], "maxItems": 3, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IT", }, } # Run the Actor and wait for it to finish run = client.actor("crawlerbros/immobiliare-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 '{ "searchUrls": [ "https://www.immobiliare.it/vendita-case/milano/" ], "maxItems": 3, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IT" } }' | apify call crawlerbros/immobiliare-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=crawlerbros/immobiliare-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Immobiliare.it Listing Scraper", "description": "Scrape Immobiliare.it (Italian real estate) listings with price, surface, rooms, address, agency, energy class, images, features.", "version": "1.0", "x-build-id": "Sj69FBifbikIq7gvX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/crawlerbros~immobiliare-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-crawlerbros-immobiliare-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/crawlerbros~immobiliare-scraper/runs": { "post": { "operationId": "runs-sync-crawlerbros-immobiliare-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/crawlerbros~immobiliare-scraper/run-sync": { "post": { "operationId": "run-sync-crawlerbros-immobiliare-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchUrls" ], "properties": { "searchUrls": { "title": "Search URLs", "type": "array", "description": "Immobiliare.it search / listing URLs (e.g. https://www.immobiliare.it/vendita-case/milano/). The actor will crawl each listing page and extract individual property records.", "default": [ "https://www.immobiliare.it/vendita-case/milano/" ], "items": { "type": "string" } }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of property listings to return.", "default": 3 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Apify RESIDENTIAL IT proxy is REQUIRED — Immobiliare.it is protected by DataDome which blocks datacenter and non-IT IPs. Do not change these settings.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IT" } } } }, "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 } } } } } } } } } } ```