# Immobiliare.it Scraper (`one-api/immobiliare-scraper`) Actor Scrape Immobiliare.it, Italy's #1 property marketplace. Look up listings by id or URL, search for sale or rent by city/comune or URL with filters, resolve locations via autocomplete, and pull agencies (by area, profile, listings). - **URL**: https://apify.com/one-api/immobiliare-scraper.md - **Developed by:** [ONE API](https://apify.com/one-api) (community) - **Categories:** Lead generation, Real estate - **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $3.00 / 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 ## Immobiliare.it Scraper Scrape **Immobiliare.it**, Italy's #1 real-estate marketplace. Look up listings by property id or URL, search for sale (*vendita*) or rent (*affitto*) by city / comune / region or an immobiliare.it results URL with full filters, resolve locations via autocomplete, and pull real-estate agencies (by area, full profile, and their active listings). ### What it does - **🏠 Property Details** — auto-detects each input as a numeric property id (`/details/byid`) or an `immobiliare.it` listing URL (`/details/byurl`); returns the full record: price, surface, rooms, energy class, features, photos, description, and agency contact. - **🔎 Search Listings** — auto-detects a free-text location (`/search/bylocation`) or an immobiliare.it results URL (`/search/byurl`). Contract, category, typology, price / surface / rooms ranges, bathrooms, condition, features, exclude-auctions and sort all apply. - **🔍 Location Autocomplete** — resolve free text to comune / province / region / zone ids (`/autocomplete`) you can feed back into a search. - **🏢 Agencies by area** — real-estate agencies operating in a municipality (`/agent/search`). - **👤 Agency profile & listings** — for each agency id: one profile row (`/agent/details`) plus one row per active listing (`/agent/listings`). ### Output - **One flat dataset row per listing / agency / suggestion** — sortable, filterable, CSV / Excel / JSON exportable. - Columns: `Mode`, `Input Given`, `ID`, `Title`, `Contract`, `Property Type`, `Price`, `Price Formatted`, `Surface m²`, `Rooms`, `Bathrooms`, `Floor`, `Address`, `City`, `Province`, `Region`, `Zip`, `Latitude`, `Longitude`, `Agency Name`, `Agency Phone`, `Cover Photo`, `Listing URL`. - The complete upstream JSON for each row is kept in the `Raw` column for power users. ### Inputs - Each section is independent — fill only the ones you need; multiple inputs per section, one per line. - The Search filters (contract, category, ranges, sort, pages, results-per-page) apply to every `/search/bylocation` query and cap the pages of agency listings. ### Pricing - Pay per result: **$3 per 1,000 dataset items** — the same rate on every Apify plan tier. - Apify start fee: $0.00005 per run. ### Notes - Immobiliare serves **20 listings per page** — raise *Pages per search* to fetch more. - Search is **administrative-area based** (city / comune / province / region / zone), not radius or bounding-box. - Prices are in **EUR (€)**; surfaces in **m²**. `Rooms` can be a range (e.g. `2-4`) for new-construction projects. ### Errors - Failures land in the dataset as rows with `Mode = "ERROR"` and the upstream message in `Title` — nothing is silently dropped. # Actor input Schema ## `property_inputs` (type: `array`): Auto-detects each entry and calls the right endpoint: • Digits only (e.g. `116128813`) → `/details/byid` • `https://www.immobiliare.it/annunci/...` → `/details/byurl` Each row = one full property record (price, surface, rooms, energy class, features, photos, agency contact). ## `search_inputs` (type: `array`): Auto-detects each entry and routes to the right `/search/*` endpoint: • `https://www.immobiliare.it/vendita-case/milano/` (a results URL) → `/search/byurl` (its location, contract and filters are applied automatically) • Anything else (city / comune / province / region, e.g. `Milano`, `Roma`) → `/search/bylocation` The filters below apply to every `bylocation` query. Each hit returns one row per listing. ## `searchType` (type: `string`): Sale (vendita) or rent (affitto). Applies to `/search/bylocation`. ## `propertyCategory` (type: `string`): Top-level category to search. ## `propertyType` (type: `string`): Only when category = Residential. Comma-separate for multiple; leave empty for all types. Values: `apartment`, `villa`, `townhouse`, `detached`, `loft`, `penthouse`, `farmhouse`. ## `priceRange` (type: `string`): Format: `min:200000,max:500000` — or just `min:200000` / `max:500000`. ## `surfaceRange` (type: `string`): Format: `min:80,max:150` — or just `min:80` / `max:150`. ## `roomsRange` (type: `string`): Format: `min:3,max:5` — or just `min:3` / `max:5`. ## `bathrooms` (type: `string`): Minimum number of bathrooms (upstream buckets 1–4, where 4 means 4+). Leave empty for any. ## `condition` (type: `string`): Property state. Leave as Any for no filter. ## `features` (type: `string`): Comma-separate for multiple; leave empty for any. Values: `balcony`, `terrace`, `garden`, `elevator`, `garage`, `pool`, `cellar`, `furnished`. ## `excludeAuctions` (type: `boolean`): Turn on to drop auction listings from search results. ## `sortOrder` (type: `string`): Result ordering for `/search/bylocation`. ## `pages` (type: `integer`): How many pages to fetch for each search query (20 listings per page). Also caps pages of agency listings. ## `resultCount` (type: `integer`): Listings per page, 1–20 (upstream page size is fixed at 20). ## `autocomplete_inputs` (type: `array`): Free text resolved to comune / province / region / zone ids via `/autocomplete`. Feed the returned ids back into a search if you want an exact scope. Each suggestion = one row. ## `agency_area_inputs` (type: `array`): Real-estate agencies operating in a municipality, via `/agent/search`. Accepts a city name (e.g. `Milano`) or a numeric comune id. Each agency = one row. ## `agency_ids` (type: `array`): For each numeric agency id the actor fetches `/agent/details` (one profile row) plus `/agent/listings` (one row per active listing, up to `Pages per search` pages). Agency ids come from the Agencies-by-area section or a listing's agency block. ## Actor input object example ```json { "property_inputs": [ "116128813", "https://www.immobiliare.it/annunci/116128813/" ], "search_inputs": [ "Milano" ], "searchType": "For_Sale", "propertyCategory": "residential", "propertyType": "", "priceRange": "", "surfaceRange": "", "roomsRange": "", "bathrooms": "", "condition": "", "features": "", "excludeAuctions": false, "sortOrder": "relevance", "pages": 1, "resultCount": 20, "autocomplete_inputs": [ "Milano" ], "agency_area_inputs": [ "Milano" ], "agency_ids": [ "439495" ] } ```` # 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 = { "property_inputs": [ "116128813", "https://www.immobiliare.it/annunci/116128813/" ], "search_inputs": [ "Milano" ], "autocomplete_inputs": [ "Milano" ], "agency_area_inputs": [ "Milano" ], "agency_ids": [ "439495" ] }; // Run the Actor and wait for it to finish const run = await client.actor("one-api/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 = { "property_inputs": [ "116128813", "https://www.immobiliare.it/annunci/116128813/", ], "search_inputs": ["Milano"], "autocomplete_inputs": ["Milano"], "agency_area_inputs": ["Milano"], "agency_ids": ["439495"], } # Run the Actor and wait for it to finish run = client.actor("one-api/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 '{ "property_inputs": [ "116128813", "https://www.immobiliare.it/annunci/116128813/" ], "search_inputs": [ "Milano" ], "autocomplete_inputs": [ "Milano" ], "agency_area_inputs": [ "Milano" ], "agency_ids": [ "439495" ] }' | apify call one-api/immobiliare-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=one-api/immobiliare-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Immobiliare.it Scraper", "description": "Scrape Immobiliare.it, Italy's #1 property marketplace. Look up listings by id or URL, search for sale or rent by city/comune or URL with filters, resolve locations via autocomplete, and pull agencies (by area, profile, listings).", "version": "1.0", "x-build-id": "jmFShVdnvyYY3wgWA" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/one-api~immobiliare-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-one-api-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/one-api~immobiliare-scraper/runs": { "post": { "operationId": "runs-sync-one-api-immobiliare-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/one-api~immobiliare-scraper/run-sync": { "post": { "operationId": "run-sync-one-api-immobiliare-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "property_inputs": { "title": "Property id or immobiliare.it URL (one per line)", "type": "array", "description": "Auto-detects each entry and calls the right endpoint:\n• Digits only (e.g. `116128813`) → `/details/byid`\n• `https://www.immobiliare.it/annunci/...` → `/details/byurl`\n\nEach row = one full property record (price, surface, rooms, energy class, features, photos, agency contact).", "items": { "type": "string" } }, "search_inputs": { "title": "Location or search-results URL (one per line)", "type": "array", "description": "Auto-detects each entry and routes to the right `/search/*` endpoint:\n• `https://www.immobiliare.it/vendita-case/milano/` (a results URL) → `/search/byurl` (its location, contract and filters are applied automatically)\n• Anything else (city / comune / province / region, e.g. `Milano`, `Roma`) → `/search/bylocation`\n\nThe filters below apply to every `bylocation` query. Each hit returns one row per listing.", "items": { "type": "string" } }, "searchType": { "title": "Contract type", "enum": [ "For_Sale", "For_Rent" ], "type": "string", "description": "Sale (vendita) or rent (affitto). Applies to `/search/bylocation`.", "default": "For_Sale" }, "propertyCategory": { "title": "Property category", "enum": [ "residential", "rooms", "buildings", "garage", "offices", "land", "industrial", "shops" ], "type": "string", "description": "Top-level category to search.", "default": "residential" }, "propertyType": { "title": "Residential typology (optional)", "type": "string", "description": "Only when category = Residential. Comma-separate for multiple; leave empty for all types.\nValues: `apartment`, `villa`, `townhouse`, `detached`, `loft`, `penthouse`, `farmhouse`.", "default": "" }, "priceRange": { "title": "Price range (€)", "type": "string", "description": "Format: `min:200000,max:500000` — or just `min:200000` / `max:500000`.", "default": "" }, "surfaceRange": { "title": "Surface range (m²)", "type": "string", "description": "Format: `min:80,max:150` — or just `min:80` / `max:150`.", "default": "" }, "roomsRange": { "title": "Rooms range (locali)", "type": "string", "description": "Format: `min:3,max:5` — or just `min:3` / `max:5`.", "default": "" }, "bathrooms": { "title": "Min bathrooms", "type": "string", "description": "Minimum number of bathrooms (upstream buckets 1–4, where 4 means 4+). Leave empty for any.", "default": "" }, "condition": { "title": "Condition", "enum": [ "", "new", "excellent", "good", "to_renovate" ], "type": "string", "description": "Property state. Leave as Any for no filter.", "default": "" }, "features": { "title": "Features / amenities (optional)", "type": "string", "description": "Comma-separate for multiple; leave empty for any.\nValues: `balcony`, `terrace`, `garden`, `elevator`, `garage`, `pool`, `cellar`, `furnished`.", "default": "" }, "excludeAuctions": { "title": "Exclude auctions (aste)", "type": "boolean", "description": "Turn on to drop auction listings from search results.", "default": false }, "sortOrder": { "title": "Sort order", "enum": [ "relevance", "Price_Low_to_High", "Price_High_to_Low", "Newest", "surface_largest" ], "type": "string", "description": "Result ordering for `/search/bylocation`.", "default": "relevance" }, "pages": { "title": "Pages per search", "minimum": 1, "maximum": 20, "type": "integer", "description": "How many pages to fetch for each search query (20 listings per page). Also caps pages of agency listings.", "default": 1 }, "resultCount": { "title": "Results per page", "minimum": 1, "maximum": 20, "type": "integer", "description": "Listings per page, 1–20 (upstream page size is fixed at 20).", "default": 20 }, "autocomplete_inputs": { "title": "Location text to resolve (one per line)", "type": "array", "description": "Free text resolved to comune / province / region / zone ids via `/autocomplete`. Feed the returned ids back into a search if you want an exact scope. Each suggestion = one row.", "items": { "type": "string" } }, "agency_area_inputs": { "title": "City / comune to find agencies in (one per line)", "type": "array", "description": "Real-estate agencies operating in a municipality, via `/agent/search`. Accepts a city name (e.g. `Milano`) or a numeric comune id. Each agency = one row.", "items": { "type": "string" } }, "agency_ids": { "title": "Agency id (one per line)", "type": "array", "description": "For each numeric agency id the actor fetches `/agent/details` (one profile row) plus `/agent/listings` (one row per active listing, up to `Pages per search` pages). Agency ids come from the Agencies-by-area section or a listing's agency block.", "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```