Immobiliare.it Scraper — Italian Property Listings & Prices

Scrape property listings from Immobiliare.it, Italy's largest property portal, for sale and to rent: price, price drop, price per m², size, rooms, bedrooms, bathrooms, floor, lift and other features, address, zone and coordinates, condition, heating, every photo and floor plan, the agency, and the publication and update dates. Turn on details for the full description, all characteristics, year built, energy class, condominium fees, availability, virtual tour, agent and agency page.

Paste any Immobiliare.it search URL with your filters, a listing URL or an agency page, or just type a town, province or zone and set type, price, size, rooms and sort in the input. No login, no browser, no expensive proxy: one request returns 20 listings and every page of a search is reachable. Export to JSON, CSV or Excel, or use the API. You pay per listing you get.

What data does Immobiliare.it Scraper extract?

Every listing from a search (the result event):

Field	Description
id, url	Immobiliare.it listing id and listing URL (https://www.immobiliare.it/annunci/133212744/)
title, propertyType, category	Type, street, zone and town (Appartamento Via Bernardino Verro, Vigentino - Fatima, Milano); property type (Appartamento, Villa, Attico, Progetto...) and category (Residenziale, Nuove costruzioni, Uffici...)
operation, isAuction	sale or rent; true for court auctions (aste)
price, currency, priceText, priceOnRequest	Price in EUR (monthly rent for rentals), as displayed (€ 1.600/mese, da € 160.000), and whether the price is hidden ("prezzo su richiesta")
originalPrice, priceDropPercent	Price before the reduction and the drop in % when Immobiliare.it shows one
pricePerSqm	Price per m² (the site's own figure with details, otherwise price / size)
size, rooms, roomsText, bedrooms, bathrooms, floor	m², rooms (locali; roomsText keeps 5+ or a range like 1-4 for projects), bedrooms, bathrooms, floor as shown (T = ground floor, R = raised)
hasLift, hasBalcony, hasTerrace, hasGarden, hasCellar, isFurnished, hasPool, hasGarage	Features; null means not stated (details fill most of them)
condition, heating, features, isLuxury	Ottimo / Ristrutturato, Autonomo, the listing's feature tags (fibra ottica, porta blindata, esposizione doppia...), luxury flag
region, province, provinceCode, city, cityId, zone, zoneId, subZone, subZoneId, address, postalCode	Location as published (zone = Immobiliare.it macrozone, e.g. Navigli; sub-zone = microzone)
latitude, longitude, locationExact	Map point; locationExact: false means the point is approximate
photoCount, photos, floorPlans	All photos (large size) and floor plan images
isNewConstruction, unitsCount, isNewListing, highlight	New-build project and its number of units, "new" badge, paid visibility tier (Sky, Top, Premium, Vetrina, Star)
isPrivateSeller, advertiserType, agencyName, agencyId, agencyLogo	Private seller or agency / builder and its name, id and logo
publishedDate, updatedDate	When the listing was created and last updated (ISO, UTC)
sourceUrl, scrapedAt	The search (URL or location) it came from and when it was scraped

With Include listing details on, or for listing URLs (the extra detail event), each listing also gets:

Field	Description
description, headline, reference	Full description, the advertiser's headline and reference code
characteristics	The whole characteristics table as label → value (Tipologia, Contratto, Disponibilità, Piano, Cucina, Box, posti auto, Anno di costruzione, Riscaldamento, Climatizzazione...)
yearBuilt, availability, kitchen, buildingFloors, concierge, airConditioning	The most used rows as their own fields
energyClass, energyConsumption, energyCertification	Energy class (A4 ... G), consumption (≥ 175 kWh/m² anno), or the certification status when there is no class yet
condominiumFees, costs	Monthly condominium fees in EUR and every published cost line (heating costs, deposit...)
hasVirtualTour, virtualTourUrl, videoUrls	Virtual tour and video links
agentName, agencyUrl, agencyAddress	The agency's contact agent as shown on the listing, its Immobiliare.it page and office address
units, constructionProgress	For new-build projects: each unit (type, m², rooms, floor, price) and the works status
detailError	Why details are missing for this listing (e.g. removed), otherwise null

Phone numbers are behind a "call" button on the site and are never collected. For private sellers the actor outputs no name, no street address, and a map point rounded to about 1 km.

How to scrape Immobiliare.it listings

1. Either paste Start URLs: run your search on immobiliare.it (any town, zone or province, sale or rent, any property type, with price, size, rooms and sort set) and copy the address bar, e.g. https://www.immobiliare.it/vendita-case/milano/?prezzoMassimo=400000&criterio=dataModifica&ordine=desc. Listing URLs (/annunci/ID/) and agency pages (/agenzie-immobiliari/ID/...) work too.
2. Or type Locations: Milano, Roma, provincia di Firenze, Navigli, Milano, Trastevere, Roma. Pick For sale or to rent, Property type and optionally Min / Max price, Min / Max size, Min / Max rooms and Sort by.
3. Set Max items to cap the run and the cost.
4. Turn on Include listing details only if you need the fields from the second table.
5. Click Start and download the dataset as JSON, CSV or Excel, or read it with the API.

Input example

{
  "locations": ["Milano", "Navigli, Milano"],
  "operation": "sale",
  "propertyType": "apartments",
  "minPrice": 200000,
  "maxPrice": 500000,
  "minSize": 60,
  "minRooms": 2,
  "sort": "newest",
  "maxItems": 200,
  "includeDetails": false
}

The same with a URL: {"startUrls": [{"url": "https://www.immobiliare.it/vendita-appartamenti/milano/?prezzoMinimo=200000&prezzoMassimo=500000&superficieMinima=60&localiMinimo=2&criterio=dataModifica&ordine=desc"}]}.

Output example

One listing with details (long arrays shortened):

{
  "id": "133212744",
  "url": "https://www.immobiliare.it/annunci/133212744/",
  "title": "Appartamento Via Bernardino Verro, Vigentino - Fatima, Milano",
  "propertyType": "Appartamento",
  "category": "Residenziale",
  "operation": "sale",
  "isAuction": false,
  "region": "Lombardia",
  "province": "Milano",
  "city": "Milano",
  "zone": "Ripamonti, Vigentino",
  "subZone": "Vigentino - Fatima",
  "address": "Via Bernardino Verro",
  "postalCode": "20141",
  "latitude": 45.4349,
  "longitude": 9.196,
  "locationExact": true,
  "price": 598000,
  "currency": "EUR",
  "priceText": "€ 598.000",
  "originalPrice": null,
  "priceDropPercent": null,
  "pricePerSqm": 5339,
  "size": 112,
  "rooms": 3,
  "bedrooms": 2,
  "bathrooms": 1,
  "floor": "1",
  "hasLift": true,
  "hasBalcony": false,
  "hasTerrace": false,
  "hasGarden": true,
  "hasGarage": true,
  "isFurnished": true,
  "condition": "Ottimo / Ristrutturato",
  "heating": "Centralizzato, a radiatori",
  "features": ["Armadio a muro", "Cancello elettrico", "Esposizione doppia", "Fibra ottica", "Piscina", "..."],
  "highlight": "Sky",
  "isPrivateSeller": false,
  "advertiserType": "agency",
  "agencyName": "Gastone Di Paola Immobiliare",
  "agencyId": 51157,
  "agencyLogo": "https://pic.im-cdn.it/imagenoresize/301705097.jpg",
  "agencyUrl": "https://www.immobiliare.it/agenzie-immobiliari/51157/gastone-di-paola-milano/",
  "photoCount": 36,
  "photos": ["https://pwm.im-cdn.it/image/2021584926/xxl.jpg", "..."],
  "floorPlans": ["https://pic.im-cdn.it/plan/135549880/xxl.jpg"],
  "publishedDate": "2026-05-14T17:50:10+00:00",
  "updatedDate": "2026-10-03T17:08:09+00:00",
  "description": "TRE LOCALI IN BOCCONI/RIPAMONTI\n\nZona vicinanze Bocconi. ...",
  "headline": "SPLENDIDO TRE LOCALI SIGNORILE",
  "reference": "40607",
  "characteristics": {"Tipologia": "Appartamento | Intera proprietà | Classe immobile signorile", "Disponibilità": "libero", "Box, posti auto": "1 in box privato/box in garage", "...": "..."},
  "yearBuilt": 2012,
  "availability": "libero",
  "kitchen": "Cucina a vista",
  "energyClass": "A",
  "energyConsumption": "≥ 175 kWh/m² anno",
  "condominiumFees": 2,
  "costs": [{"label": "Spese condominio", "value": "€ 2/mese"}, {"label": "Spese riscaldamento", "value": "€ 1/anno"}],
  "hasVirtualTour": true,
  "virtualTourUrl": "https://tour360.getrix.it/vrtours/2539695/",
  "videoUrls": ["https://youtube.com/embed/_2YMUtkYG28"],
  "agentName": "GASTONE DI PAOLA",
  "agencyAddress": "Via RUCELLAI 37 /via VERRO 33 37, Milano",
  "units": [],
  "sourceUrl": "Milano",
  "scrapedAt": "2026-10-12T19:30:00+00:00",
  "detailError": null
}

Without details the same keys are present; the detail-only ones are null or empty.

Monitor changes on a schedule

Turn on Only new or changed items to watch a search: each run remembers what earlier runs returned and outputs only listings that are new or whose asking price changed. Unchanged listings are dropped before any detail request, so they are not charged. Max items then sets how many listings are checked per run; use the Newest sort so new listings land in that window (20 listings = one request). Save the input as a task and add a Schedule in Apify (for example daily), and give each watch its own Monitoring key if several schedules use the same search. Every output item has changeType (new or changed), and changed items have previousValues with the old values, e.g. {"price": 598000}.

How much does it cost to scrape Immobiliare.it?

Pay per event, plus the Apify platform usage of your run:

• Listing (result): $0.0007 per listing saved ($0.70 per 1,000).
• Listing details (detail): +$0.0007 per listing whose detail record was fetched (Include listing details, or listing URLs).

There is no start fee. Platform usage is small because the actor uses plain HTTP and the standard datacenter proxy: measured on Apify, 1,000 listings without details took 51 requests, 100 seconds and about $0.006 of usage; with details about $0.03 per 1,000 listings. So 1,000 listings cost about $0.71 in total, or about $1.43 with details.

Can I scrape a whole town, a zone or an agency?

Yes. A town search covers every page (Milano has about 19,000 homes for sale; Roma about 25,700), 20 listings per request. Narrow a large town with a zone (Navigli, Milano, or the zone filter on the website, which adds idMZona[] to the URL) or with price, size and rooms filters. Zone searches return what Immobiliare.it shows for that zone, which can include a few listings just across the border labelled with the neighbouring zone. An agency page URL returns all of that agency's active listings. Provinces work as provincia di Bergamo or a /vendita-case/bergamo-provincia/ URL. Region-wide searches are not supported: list the provinces you need.

Does it work without login or a residential proxy?

Yes. The actor reads the same listing data the Immobiliare.it apps use, so no login, cookies or browser are needed, and the default Apify datacenter proxy works. If a run ever reports blockedAnswers in its SUMMARY, switch the proxy to Residential (Italy).

Which filters from Immobiliare.it URLs are supported?

Town, province, zone (idMZona[]) and micro-zone (idQuartiere[]), sale or rent, property type from the URL path (case, appartamenti, ville, attici, uffici, negozi, box, terreni, capannoni, magazzini, palazzi, nuove costruzioni, camere), prezzoMinimo/prezzoMassimo, superficieMinima/superficieMassima, localiMinimo/localiMassimo, and the sort (criterio + ordine: prezzo, superficie, dataModifica, locali). Other website filters (bathrooms, floor, garden...) are ignored and listed in the run's SUMMARY under ignoredUrlParams; filter those fields in the dataset instead.

Integrations and API

Use the run in Zapier, Make, n8n, Google Sheets, or call it from Python/Node with the Apify client. See the API tab for ready-made snippets.

Is it legal to scrape Immobiliare.it?

The actor collects publicly listed property data (prices, sizes, locations, photos, agency business details) that anyone can see without logging in. It does not collect phone numbers, e-mail addresses, private sellers' names or private sellers' street addresses. You are responsible for how you use the data: check Immobiliare.it's terms of use, respect copyright on photos and descriptions, and follow the GDPR if you process data about people (for example agents' names).