# Gabetti Scraper – Italy Real Estate Listings (`sn41lz/gabetti-scraper`) Actor

Scrape property listings from Gabetti, one of Italy's largest real estate agency networks: price, €/m², area, rooms, address, coordinates, energy class, condo fees, floor, build year, description and photos for any Italian city or province.

- **URL**: https://apify.com/sn41lz/gabetti-scraper.md
- **Developed by:** [Sergi Espí Zamora](https://apify.com/sn41lz) (community)
- **Categories:** Real estate, Lead generation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$2.00 / 1,000 property saveds

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/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Gabetti Scraper – Italy Real Estate Listings

Get property listings from **[Gabetti](https://www.gabetti.it)**, one of Italy's best-known real estate agency networks (offices all over the country, about 16,000 listings), as clean data: **price, €/m², area, rooms, address, GPS coordinates, floor, build year, condition, energy class, condo fees, description, photos and floor plans**.

Type a city (**Milano, Roma, Torino, Napoli, Bologna, Genova, Firenze…**) or a whole province, pick buy or rent and a property type, and click Start.

### Why this scraper?

- **Full details in one pass:** every listing comes with coordinates, energy class and performance, heating, condo fees, occupancy, exposure, balconies, terraces, garages and the full description, without opening each listing.
- **Agency office included:** the Gabetti office handling each property (name and address).
- **Every page, no duplicates:** all results of a search, newest first, so you never pay twice for the same property.
- **Friendly input:** city names (Italian or English), "Provincia di …" for a whole province, or paste any gabetti.it result page.

### Who is it for?

- **Investors** comparing €/m² across Italian cities and neighbourhoods.
- **Agents and analysts** tracking new supply and the stock of the Gabetti network.
- **Proptech and data teams** that need geocoded listings for maps and valuation models.

### What data do you get?

| Field | Example |
|---|---|
| `propertyType`, `propertySubtype`, `dealType` | Appartamento, appartamento, sale |
| `price`, `pricePerM2`, `areaM2` | 490000, 5506, 89 |
| `rooms`, `bedrooms`, `bathrooms`, `floor` | 3, 2, 2, Terzo |
| `address`, `city`, `province`, `latitude`, `longitude` | Via Aldini 9, Milano, MI, 45.5130, 9.1378 |
| `condition`, `buildYear`, `renovationYear`, `occupancy` | Nuovo, 2020, null, Libero |
| `energyClass`, `energyPerformance`, `nearlyZeroEnergy`, `heating`, `energySource` | A1, 45.98 (kWh/m² per year), false, Centralizzato, Metano |
| `condoFees` | 160 (€ per month) |
| `elevator`, `intercom`, `garden`, `balconies`, `terraces`, `garages`, `parkingSpaces`, `cellarAreaM2`, `exposure` | true, true, null, 1, 1, 1, null, 6, Doppia |
| `description` | full listing text |
| `image`, `images`, `floorPlans`, `video`, `hasVirtualTour` | photos, floor plans, YouTube link |
| `agencyName`, `agencyAddress` | Gabetti Milano - Arco della Pace, Via Piero della Francesca, 5 - 20154 Milano |
| `id`, `url`, `searchUrl` | 3338039, listing link, the search it came from |

### How to use it

1. Add one or more **Locations** (city names, or "Provincia di …" for a whole province).
2. Pick **Buy or rent**, a **Property type** and optionally a price range.
3. Set **Max results** to control cost, and click **Start**.
4. Download as Excel, CSV or JSON, or send the data to Google Sheets.

**Tip:** to use filters this Actor doesn't offer (area, zone, rooms, condition…), set them on gabetti.it and paste the result page URL into **Result page URLs**.

### How much does it cost?

**$2 per 1,000 properties** ($0.002 each), with all fields. Use **Max results** to set a hard cap.

### Notes

- Locations are matched to the places Gabetti has pages for; the log shows which place each location matched.
- Phone numbers in descriptions are replaced with `[phone]`; agency staff names and contacts are not collected.
- `price` is empty for listings with a private price ("trattativa riservata"); for rentals it is the monthly rent.
- The Actor reads public pages at a gentle pace and respects the site's robots.txt.

***

### In italiano

Estrae gli annunci immobiliari di **Gabetti** in tutta Italia: appartamenti, ville, rustici, terreni, box e immobili commerciali in vendita o in affitto, con prezzo, €/m², superficie, locali, indirizzo, coordinate, classe energetica, spese condominiali, descrizione, foto e planimetrie. Basta scrivere una città (o "Provincia di …"). 2 $ ogni 1.000 immobili.

# Actor input Schema

## `locations` (type: `array`):

Italian cities or towns, e.g. 'Milano', 'Roma', 'Torino', 'Napoli', 'Bologna'. Write 'Provincia di Milano' for a whole province. English names (Milan, Rome, Turin, Naples, Florence) work too.

## `wholeProvince` (type: `boolean`):

Search the province around each city instead of just the city.

## `dealType` (type: `string`):

For sale or for rent.

## `propertyType` (type: `string`):

Apartments include penthouses, lofts, attics and duplexes; houses include villas, terraced and detached houses.

## `minPrice` (type: `integer`):

Only properties at or above this price (monthly rent for rentals).

## `maxPrice` (type: `integer`):

Only properties at or below this price (monthly rent for rentals).

## `startUrls` (type: `array`):

Or paste result pages from gabetti.it (e.g. https://www.gabetti.it/vendita/milano or https://www.gabetti.it/affitto/provincia-rm), with any filters set on the site.

## `maxItems` (type: `integer`):

Stop after this many properties in total. 0 = no limit.

## Actor input object example

```json
{
  "locations": [
    "Milano"
  ],
  "wholeProvince": false,
  "dealType": "buy",
  "propertyType": "all",
  "maxItems": 100
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `results` (type: `string`):

No description

# 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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "locations": [
        "Milano"
    ],
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("sn41lz/gabetti-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = {
    "locations": ["Milano"],
    "maxItems": 100,
}

# Run the Actor and wait for it to finish
run = client.actor("sn41lz/gabetti-scraper").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "locations": [
    "Milano"
  ],
  "maxItems": 100
}' |
apify call sn41lz/gabetti-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,sn41lz/gabetti-scraper"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/xmCj3nAPY0XPBTaph/builds/jFhpC1enIUjIGIk4g/openapi.json