# Immobiliare.it Scraper | Italy Real Estate API - Sale & Rent (`lentic_clockss/immobiliare-property-scraper`) Actor Scrape Immobiliare.it Italy homes for sale and rent. Extract prices, rooms, surface, energy class, agency contacts & images — Immobiliare API alternative. - **URL**: https://apify.com/lentic\_clockss/immobiliare-property-scraper.md - **Developed by:** [kane liu](https://apify.com/lentic_clockss) (community) - **Categories:** Real estate, Lead generation, Automation - **Stats:** 1 total users, 1 monthly users, 0.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.50 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ### What does Immobiliare.it Scraper do? **Immobiliare.it Scraper** extracts Italian real estate listings from [Immobiliare.it](https://www.immobiliare.it) across **all major property categories** — homes, offices, shops, warehouses, land, rooms, and new developments — for sale (*vendita*) and rent (*affitto*). Use a city (Milano, Roma, Torino…), select one or many categories, or paste search/detail URLs, then download structured data as JSON, CSV, Excel, or HTML. This Actor is a practical **Immobiliare.it API alternative**: it reads Next.js `__NEXT_DATA__` from search (SRP) and listing detail (LDP) pages, so you get prices, rooms, surface, energy class, agency contacts, and images without maintaining your own browser stack. ### What can this Immobiliare.it scraper extract? | Data point | Description | |---|---| | Listing ID & URL | Stable Immobiliare annuncio ID and canonical link | | Channel | `BUY` (vendita) or `RENT` (affitto) | | Category | Search slug (`case`, `uffici`, `capannoni`…) + `categoryGroup` | | Title & typology | Headline and listing typology | | Price | Amount, formatted price, €/m²; `priceOnRequest` when “prezzo su richiesta” | | Size & rooms | Surface (m²), rooms, bathrooms, bedrooms, floor | | Energy | Energy class (APE), heating, air conditioning | | Location | Address, city, province, region, macro/microzone, coordinates | | Agency | Agency name, phones, supervisor, agency URL | | Media | Photo gallery URLs when present | | Rent extras | Deposit, availability, condominium expenses (rent listings) | ### Why scrape Immobiliare.it? - **Market research** — track asking prices and inventory in Milano, Roma, and other Italian cities - **Lead generation** — collect agency names and phone numbers from active listings - **Investment & proptech** — feed CRM, pricing models, or dashboards with fresh sale/rent data - **Competitive monitoring** — watch new developments and rental supply without manual browsing ### How to scrape Immobiliare.it 1. Open **Immobiliare.it Scraper** in Apify Console. 2. Set **location** (e.g. `milano`), **channel** (`BUY` or `RENT`), and **property type(s)**, *or* paste Immobiliare **start URLs**. 3. Choose **max listings** / **max pages** and whether to open **detail pages**. 4. Keep **Apify Proxy → RESIDENTIAL + IT** enabled (recommended against DataDome). 5. Click **Start**, then export results from the **Dataset** tab. #### Property categories (full site coverage) | Group | Slugs | |---|---| | Residential | `case`, `appartamenti`, `attici`, `case-indipendenti`, `loft`, `rustici`, `ville`, `villette` | | Commercial / industrial | `uffici`, `negozi`, `garage`, `palazzi`, `attivita`, `magazzini`, `capannoni` | | Rooms / land / new builds | `stanze` (RENT only), `terreni`, `nuove-costruzioni` | - `propertyType` — single category (backward compatible) - `propertyTypes` — multi-select; overrides `propertyType` when non-empty - `all` — expands to **primary nav categories only** (excludes residential subtypes to avoid double-counting with `case`) - Not included in this Actor: **aste** (auctions) and **estero** (overseas) — rejected at input validation - `includeRaw` — optional raw `realEstate` payload for debugging - `allowEmptyResults` — empty inventory finishes as success (`SUCCEEDED_EMPTY`); DataDome blocks still fail Default run memory is **2048 MB** (Camoufox still needs ≥2 GB). Platform usage (compute + residential proxy) is billed on top of PPE events. #### Example input ```json { "location": "milano", "channel": "BUY", "propertyTypes": ["uffici", "negozi", "capannoni"], "maxItems": 30, "maxPages": 1, "scrapeDetails": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "IT" } } ```` #### Supported URL patterns - Homes: `https://www.immobiliare.it/vendita-case/milano/` - Offices / shops / sheds: `/vendita-uffici/…`, `/vendita-negozi/…`, `/vendita-capannoni/…` - Businesses: `https://www.immobiliare.it/vendita-attivita/milano/` - New builds: `https://www.immobiliare.it/nuove-costruzioni/roma/` - Rooms for rent: `https://www.immobiliare.it/affitto-stanze/milano/` - Detail: `https://www.immobiliare.it/annunci/{id}/` - Pagination: `?pag=2` (and higher) ### How much does it cost to scrape Immobiliare.it? This Actor uses **Pay per event** pricing. You pay for: | Event | Price | |---|---| | **Actor Start** (`apify-actor-start`) | **$0.005** per start (scaled by run memory: one event per GB, minimum one) | | **result** (`apify-default-dataset-item`) | **$2.50 / 1,000** results (**$0.0025** per listing in the default dataset) | **Platform usage** (compute, residential proxy, etc.) is **also billed to the user** on top of event charges. Example (illustrative): 1 start + 1,000 listings ≈ **$0.005 + $2.50** in event fees, plus platform usage for the run. Tip: set a **max total charge** on the run if you want a hard spending cap. ### Input Open the **Input** tab for the full schema. Main fields: | Field | Purpose | |---|---| | `startUrls` | Immobiliare search or detail URLs | | `location` | City slug when building a search (`milano`, `roma`, …) | | `channel` | `BUY` or `RENT` | | `propertyType` | Single category slug, or `all` for primary nav | | `propertyTypes` | Multi category list (wins over `propertyType`) | | `maxItems` / `maxPages` | Caps across all categories (~25 listings per SRP page) | | `scrapeDetails` | Enrich each card from the detail page | | `requestDelayMillis` | Delay between navigations | | `proxyConfiguration` | Prefer Apify **RESIDENTIAL** proxy, country **IT** | ### Output example You can download the dataset extracted by Immobiliare.it Scraper in JSON, HTML, CSV, or Excel. ```json { "id": "126399731", "url": "https://www.immobiliare.it/annunci/126399731/", "source": "immobiliare", "sourceLayer": "srp+ldp", "channel": "RENT", "category": "case", "categoryGroup": "residential", "title": "Bilocale via Livinallongo 12, Rogoredo, Milano", "priceAmount": 1050, "priceFormatted": "€ 1.050/mese", "rooms": 2, "surface": 70, "energyClass": "A", "city": "Milano", "agency": { "name": "Tempoaffitti Milano Umbria", "phones": ["02 8127 3242"] }, "scrapedAt": "2026-07-18T08:40:00.000Z" } ``` ### Is it legal to scrape Immobiliare.it? Our scrapers are ethical and do not extract private user data that is not shown on public listing pages. They only extract what Immobiliare.it has chosen to display publicly. You should still comply with Immobiliare.it terms, applicable laws (including GDPR where personal data appears), and only scrape when you have a legitimate purpose. If unsure, consult your lawyers. ### FAQ #### How do I scrape Immobiliare.it for sale listings? Set `channel` to `BUY` or use a URL like `/vendita-case/milano/`. #### How do I scrape Immobiliare.it rentals? Set `channel` to `RENT` or use `/affitto-case/{city}/`. #### Can I scrape offices, shops, warehouses, or land? Yes. Use `propertyType` / `propertyTypes` with slugs like `uffici`, `negozi`, `capannoni`, `terreni`, or `nuove-costruzioni`. Set `propertyTypes: ["all"]` for every primary nav category (not residential subtypes). Auctions (`aste`) and overseas (`estero`) are not included. #### Do I need an Immobiliare.it API key? No. This Actor scrapes the public website and returns structured data — useful when you need an Immobiliare data API without an official partnership. #### Why is residential proxy recommended? Immobiliare.it is protected by **DataDome**. Direct HTTP and many datacenter IPs are blocked. Apify RESIDENTIAL proxies with country **IT** work best with this Actor’s Camoufox browser session. #### Can I export Immobiliare listings to Google Sheets? Yes. Use Apify **integrations** or the Dataset API to push results into Sheets, webhooks, or your own backend. #### What if a run returns zero results? Check that the location/URL is valid, keep residential IT proxy on, and inspect Key-Value Store records `ERROR_SUMMARY` / `DEBUG_SRP_HTML` for DataDome or parse issues. ### Tips for better Immobiliare scraping - Start with `maxItems` 10–50 while testing cost and field coverage. - Enable `scrapeDetails` when you need energy class, costs, or full galleries. - Prefer sticky residential sessions and a polite `requestDelayMillis` (e.g. 2000). - Use SEO city URLs (`/vendita-case/milano/`) rather than guessing internal filter IDs. ### Support Questions or feature requests? Open an issue on the Actor page or contact the developer through Apify. Feedback on Italian cities, commercial property types, or export formats is welcome. # Actor input Schema ## `startUrls` (type: `array`): Immobiliare.it search (SRP) or listing detail (LDP) URLs. Search URLs override location/channel/propertyTypes when provided. ## `location` (type: `string`): Italian city slug (milano, roma, torino, napoli, firenze). Ignored when startUrls contain a search URL. ## `channel` (type: `string`): BUY (vendita) or RENT (affitto). Used when building searches from location. Some categories are sale-only (e.g. nuove-costruzioni). ## `propertyType` (type: `string`): Single estate category slug. Ignored when propertyTypes is non-empty. Use all to crawl primary nav categories (not residential subtypes). ## `propertyTypes` (type: `array`): Multiple categories to crawl in one run (shared maxItems, ID de-dupe). When set, overrides propertyType. all expands to primary nav only. ## `maxItems` (type: `integer`): Maximum property records to save across all selected categories. ## `maxPages` (type: `integer`): Maximum SRP pages per category search URL (~25 listings per page). ## `scrapeDetails` (type: `boolean`): Open each listing LDP and parse **NEXT\_DATA** detailData.realEstate for full fields. ## `includeRaw` (type: `boolean`): Attach the Immobiliare realEstate JSON under each item's raw field (debug; larger dataset items). ## `allowEmptyResults` (type: `boolean`): When true, finish SUCCEEDED with zero rows if search pages load but inventory is empty. DataDome/proxy blocks still fail. ## `requestDelayMillis` (type: `integer`): Politeness delay before each browser navigation (keep higher for DataDome). ## `proxyConfiguration` (type: `object`): Apify Proxy required on cloud. Prefer RESIDENTIAL + IT for Immobiliare.it DataDome. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.immobiliare.it/vendita-case/milano/" } ], "location": "milano", "channel": "BUY", "propertyType": "case", "propertyTypes": [], "maxItems": 20, "maxPages": 1, "scrapeDetails": true, "includeRaw": false, "allowEmptyResults": true, "requestDelayMillis": 2000, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ], "apifyProxyCountry": "IT" } } ``` # Actor output Schema ## `listings` (type: `string`): Normalized Immobiliare listing records from SRP and optional LDP enrichment. ## `runSummary` (type: `string`): Counts, engine, and timestamps for the run. # 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 = { "startUrls": [ { "url": "https://www.immobiliare.it/vendita-case/milano/" } ], "location": "milano" }; // Run the Actor and wait for it to finish const run = await client.actor("lentic_clockss/immobiliare-property-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 = { "startUrls": [{ "url": "https://www.immobiliare.it/vendita-case/milano/" }], "location": "milano", } # Run the Actor and wait for it to finish run = client.actor("lentic_clockss/immobiliare-property-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 '{ "startUrls": [ { "url": "https://www.immobiliare.it/vendita-case/milano/" } ], "location": "milano" }' | apify call lentic_clockss/immobiliare-property-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lentic_clockss/immobiliare-property-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Immobiliare.it Scraper | Italy Real Estate API - Sale & Rent", "description": "Scrape Immobiliare.it Italy homes for sale and rent. Extract prices, rooms, surface, energy class, agency contacts & images — Immobiliare API alternative.", "version": "0.1", "x-build-id": "ucLk845krXyjZFImJ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lentic_clockss~immobiliare-property-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lentic_clockss-immobiliare-property-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lentic_clockss~immobiliare-property-scraper/runs": { "post": { "operationId": "runs-sync-lentic_clockss-immobiliare-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lentic_clockss~immobiliare-property-scraper/run-sync": { "post": { "operationId": "run-sync-lentic_clockss-immobiliare-property-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "type": "array", "description": "Immobiliare.it search (SRP) or listing detail (LDP) URLs. Search URLs override location/channel/propertyTypes when provided.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "location": { "title": "Location", "type": "string", "description": "Italian city slug (milano, roma, torino, napoli, firenze). Ignored when startUrls contain a search URL.", "default": "milano" }, "channel": { "title": "Channel", "enum": [ "BUY", "RENT" ], "type": "string", "description": "BUY (vendita) or RENT (affitto). Used when building searches from location. Some categories are sale-only (e.g. nuove-costruzioni).", "default": "BUY" }, "propertyType": { "title": "Property type (single)", "enum": [ "case", "appartamenti", "attici", "case-indipendenti", "loft", "rustici", "ville", "villette", "uffici", "negozi", "garage", "garage-posti-auto", "palazzi", "attivita", "magazzini", "capannoni", "stanze", "terreni", "nuove-costruzioni", "all" ], "type": "string", "description": "Single estate category slug. Ignored when propertyTypes is non-empty. Use all to crawl primary nav categories (not residential subtypes).", "default": "case" }, "propertyTypes": { "title": "Property types (multi)", "type": "array", "description": "Multiple categories to crawl in one run (shared maxItems, ID de-dupe). When set, overrides propertyType. all expands to primary nav only.", "items": { "type": "string", "enum": [ "case", "appartamenti", "attici", "case-indipendenti", "loft", "rustici", "ville", "villette", "uffici", "negozi", "garage", "garage-posti-auto", "palazzi", "attivita", "magazzini", "capannoni", "stanze", "terreni", "nuove-costruzioni", "all" ] }, "default": [] }, "maxItems": { "title": "Max listings", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum property records to save across all selected categories.", "default": 20 }, "maxPages": { "title": "Max search pages", "minimum": 1, "maximum": 50, "type": "integer", "description": "Maximum SRP pages per category search URL (~25 listings per page).", "default": 1 }, "scrapeDetails": { "title": "Scrape detail pages", "type": "boolean", "description": "Open each listing LDP and parse __NEXT_DATA__ detailData.realEstate for full fields.", "default": true }, "includeRaw": { "title": "Include raw payload", "type": "boolean", "description": "Attach the Immobiliare realEstate JSON under each item's raw field (debug; larger dataset items).", "default": false }, "allowEmptyResults": { "title": "Allow empty results", "type": "boolean", "description": "When true, finish SUCCEEDED with zero rows if search pages load but inventory is empty. DataDome/proxy blocks still fail.", "default": true }, "requestDelayMillis": { "title": "Delay between requests (ms)", "minimum": 0, "maximum": 20000, "type": "integer", "description": "Politeness delay before each browser navigation (keep higher for DataDome).", "default": 2000 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify Proxy required on cloud. Prefer RESIDENTIAL + IT for Immobiliare.it DataDome.", "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 } } } } } } } } } } ```