Subito Scraper — Prices, Sellers, Location & Photos
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from $1.50 / 1,000 results
Subito Scraper — Prices, Sellers, Location & Photos
Scrape Subito.it, Italy's #1 classifieds, by keyword or URL. Get price (EUR), location (region, city), seller type (private/business), description, attributes and photos. Cars, electronics, home and more. No login or API key. Export JSON, CSV, Excel.
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from $1.50 / 1,000 results
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Haketa
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Subito Scraper 🇮🇹 — Italy Classifieds & Marketplace Intelligence
Extract live listings, prices, seller profiles, and contact signals from Subito.it, Italy's premier classifieds marketplace, at scale — no login, no API token, and zero coding required. This Subito scraper enables high-speed extraction across all major Italian product categories: vehicles, electronics, furniture, real estate, jobs, and collectibles.
Whether you are tracking market pricing trends, sourcing profitable resale inventory, monitoring competitors, or building Italian B2B lead lists from business advertisers, this Subito data extractor turns millions of live marketplace ads into structured, analysis-ready datasets.
⚡ At a glance
| Feature | Specification |
|---|---|
| Target Website | subito.it (Italy's #1 Classifieds Marketplace) |
| Supported Inputs | Free-text search terms, direct category URLs, filtered search URLs |
| Max Pagination | Unlocked 1,000+ results with auto-pagination loop |
| Data Enrichment | Price (EUR), seller type (private vs business), phone/item attributes, images |
| Rate & Speed | ~300–600 listings per minute on standard datacenter proxies |
| Export Formats | JSON, CSV, XML, Excel (XLSX), RSS feed, HTML table |
| Integration | Apify REST API, Python, Node.js, Make, Zapier, Google Sheets, Slack |
| Authentication | None required (100% public marketplace data) |
| Default Concurrency | Automatic session cycling with proxy rotation |
🔎 Why scrape Subito.it?
Subito.it is Italy's largest digital marketplace, serving millions of active Italian consumers and small businesses daily. Across cars, motorcycles, smartphones, industrial equipment, home decor, and fashion, Subito represents the definitive benchmark for second-hand market valuations and merchant activity across the country.
Gathering this data manually is inefficient: listings are constantly created or sold, prices fluctuate daily, and manual copy-pasting is prone to omissions. Furthermore, Subito's dynamic architecture and bot-detection layers prevent naive crawlers from accessing deep catalog pages.
This Subito.it scraper solves these challenges by providing:
- 💶 Market Price Intelligence — Track real listing prices, price reductions, and fair market value across regional Italian markets.
- 👤 B2B Lead Generation — Identify and segment verified business sellers (dealers, boutique shops, contractors) by city and category.
- 💰 Arbitrage & Resale Sourcing — Spot underpriced consumer goods, electronics, and vehicles to flip across cross-border marketplaces.
- 🚗 Automotive Intelligence — Scrape comprehensive vehicle ads including mileage, transmission, year, engine size, and fuel type.
- 📊 Supply & Inventory Trends — Monitor listing velocity, category saturation, and geographic distribution across all 20 Italian regions.
- 🤖 AI & Vector DB Pipeline — Fuel Large Language Model (LLM) agents, retrieval-augmented generation (RAG) engines, and algorithmic pricing systems with clean market data.
✨ Core capabilities
- 🔍 Multi-Keyword Search — Submit single or multiple search queries (e.g.,
iphone 15,fiat 500,divano pelle). Each keyword is systematically crawled, paginated, and de-duplicated. - 🔗 Direct URL Crawling — Paste complete Subito.it search or filtered category URLs. Any on-site filters (region, city, price range, condition, subcategory) are honored seamlessly.
- 📄 Deep Pagination (1,000+ Results) — Effortlessly paginate past initial page caps. Retrieve thousands of records per search run without premature truncation.
- 🏷️ Seller Classification — Differentiate instantly between private individuals and commercial business sellers (
sellerType). - 📍 Granular Geographic Data — Extract regional levels including Italian region (e.g., Lombardia, Lazio), province/city, and municipality/town.
- 📦 Dynamic Attributes Parser — Normalize variable category-specific attributes (fuel type, vehicle year, storage capacity, condition, delivery method) into clean key-value structures.
- 🖼️ Full Photo Galleries — Capture high-resolution primary photo URLs alongside complete gallery arrays and image totals.
- 🛡️ Session Rotation — Built-in session lifecycle management ensures consistent data extraction without IP throttling or ban waves.
🎯 Use cases & industry applications
1. B2B Sales & Merchant Prospecting
Italian commercial merchants, auto dealerships, and local repair shops actively list their inventory on Subito. By filtering extraction runs to sellerType: "business", sales development representatives (SDRs) and growth teams can quickly construct hyper-targeted outreach lists segmented by region and specialization.
2. E-Commerce Resale & Arbitrage
Consumer flippers and professional refurbished electronics dealers monitor specific high-demand queries (e.g., camera gear, gaming consoles, Apple hardware). Automated periodic runs notify resellers of newly posted below-market deals before competitors spot them.
3. Automotive Market Analysis
Dealerships, insurance adjusters, and fleet operators scrape the vehicle category to analyze real asking prices for used cars, motorbikes, and commercial vans across Italy's northern, central, and southern provinces.
4. Real Estate & Rental Benchmarking
Extract apartment rentals and real estate listings to compare square-meter pricing, localized demand shifts, and landlord pricing strategies across key hubs like Milan, Rome, Turin, and Florence.
5. Academic & Economic Research
Economists and policy researchers study macro consumer behavior, local inflation metrics, and used durable goods supply elasticity across Italian municipal territories.
🏛️ Supported product categories on Subito.it
This scraper extracts listings from every native Subito category and subcategory without restrictions:
| Primary Category | Subcategories Covered | Typical Extracted Attributes |
|---|---|---|
| Motori (Vehicles) | Auto, Moto & Scooter, Accessori Auto, Veicoli Commerciali, Nautica, Caravan & Camper | Year, Mileage (km), Fuel type, Gearbox, Euro rating, Power (CV/kW) |
| Elettronica (Tech) | Telefonia, Informatica, Audio/Video, Fotografia, Videogiochi & Console | Storage capacity, Model, Condition, Brand, Carrier lock status |
| Immobili (Property) | Appartamenti, Camere/Posti Letto, Ville, Uffici, Terreni | Surface area (sqm), Rooms, Heating type, Energy class, Floor |
| Casa & Persona | Arredamento, Elettrodomestici, Giardino & Fai da te, Abbigliamento, Accessori | Condition, Material, Dimensions, Brand, Delivery availability |
| Sport & Hobby | Biciclette, Strumenti Musicali, Collezionismo, Libri, Sport Invernali | Bike type, Frame material, Wheel size, Authenticity details |
| Lavoro & Servizi | Offerte di lavoro, Attrezzature da lavoro, Servizi | Job contract type, Sector, Experience required, Machinery type |
📥 Input parameters
The actor features a flexible, self-explanatory input schema designed for both non-technical users and programmatic API callers.
| Parameter | Type | Default | Description |
|---|---|---|---|
searchTerms | Array of strings | ["iphone"] | One or more Italian search queries. E.g. ["macbook", "scooter 125"]. |
startUrls | Array of strings | [] | Direct search or category URLs copied from Subito.it. |
sellerType | String (select) | "" (Any) | Filter by seller classification: "" (all), "private", or "business". |
priceMin | Integer | None | Minimum asking price in EUR. |
priceMax | Integer | None | Maximum asking price in EUR. |
maxItems | Integer | 0 (Unlimited) | Total listings to collect. Prefilled to 100 for test runs. |
maxPagesPerSearch | Integer | 0 (Unlimited) | Max result pages per search query. 0 disables limits. |
proxyConfiguration | Object | { "useApifyProxy": true } | Apify proxy setup. Datacenter proxies run fast and reliably out of the box. |
📋 Input configurations & recipes
Example 1: High-Speed Keyword Search (General)
{"searchTerms": ["vespa 125", "honda sh"],"sellerType": "","maxItems": 200,"maxPagesPerSearch": 0,"proxyConfiguration": { "useApifyProxy": true }}
Example 2: B2B Commercial Seller Lead Generation
{"searchTerms": ["trattore agricolo", "escavatore"],"sellerType": "business","maxItems": 1000,"maxPagesPerSearch": 0,"proxyConfiguration": { "useApifyProxy": true }}
Example 3: Filtered Resale Hunt with Price Boundaries
{"searchTerms": ["playstation 5", "nintendo switch oled"],"sellerType": "private","priceMin": 150,"priceMax": 350,"maxItems": 500,"maxPagesPerSearch": 0,"proxyConfiguration": { "useApifyProxy": true }}
Example 4: Direct Filtered URL Extraction
{"startUrls": ["https://www.subito.it/annunci-italia/vendita/auto/bmw/?pe=25000&ps=10000"],"maxItems": 1500,"maxPagesPerSearch": 0,"proxyConfiguration": { "useApifyProxy": true }}
📤 Output data structure
Scraped listings are saved to the default Apify Dataset. Each row provides clean, typed, and normalized fields ready for immediate analysis.
Sample record (JSON)
{"id": "639565298","url": "https://www.subito.it/biciclette/negozio-iphone-e-ebike-e-monopattini-padova-639565298.htm","title": "Negozio iPhone e eBike e Monopattini","description": "Disponibili vari modelli in pronta consegna presso il nostro punto vendita a Padova.","price": 999,"currency": "EUR","category": "Biciclette","categoryId": "41","sellerType": "business","sellerName": "Mobility Tech Padova","sellerId": "101729270","region": "Veneto","city": "Padova","town": "Padova","publishedDate": "2026-11-02 01:41:32","imageUrl": "https://images.sbito.it/api/v1/sbt-ads-images-pro/images/78/78ad9cee-e388-44ca-8ae4-c8d1292edd87","images": ["https://images.sbito.it/api/v1/sbt-ads-images-pro/images/78/78ad9cee-e388-44ca-8ae4-c8d1292edd87","https://images.sbito.it/api/v1/sbt-ads-images-pro/images/d6/d6ed2f81-9b62-4f3b-a192-808cf702b894"],"nbImages": 2,"attributes": {"item_condition": "Nuovo - mai usato in confezione originale","bicycle_type": "Altre tipologie","item_shipping_allowed": "Sì","item_shipping_cost": "10 €"},"searchTerm": "iphone","scrapedAt": "2026-11-10T13:40:00.000Z"}
📊 Extracted fields & data coverage
🏷️ Identity & Metadata
| Field Name | Type | Coverage | Description & Sample Values |
|---|---|---|---|
id | String | 🟢 High (100%) | Unique Subito listing identifier ("639565298"). |
url | String | 🟢 High (100%) | Direct canonical permalink to the ad. |
title | String | 🟢 High (100%) | Item listing headline text. |
description | String | 🟢 High (>95%) | Full listing description text provided by the advertiser. |
searchTerm | String | 🟡 Conditional | Search keyword associated with the result row. |
scrapedAt | String | 🟢 High (100%) | UTC ISO 8601 scrape execution timestamp. |
💶 Commercial & Pricing Details
| Field Name | Type | Coverage | Description & Sample Values |
|---|---|---|---|
price | Number | 🟢 High (>90%) | Asking price in EUR (integer/float, null if price on request). |
currency | String | 🟢 High (100%) | Standard ISO currency symbol ("EUR"). |
category | String | 🟢 High (100%) | Human-readable category label (e.g., "Auto", "Telefonia"). |
categoryId | String | 🟢 High (100%) | Subito internal category code. |
attributes | Object | 🟢 High (>85%) | Dynamic key-value pairs (vehicle mileage, condition, size). |
👤 Seller Profile & Geography
| Field Name | Type | Coverage | Description & Sample Values |
|---|---|---|---|
sellerType | String | 🟢 High (100%) | Advertiser status: "private" or "business". |
sellerName | String | 🟡 Conditional (~40%) | Commercial business name or advertiser handle when disclosed. |
sellerId | String | 🟢 High (>98%) | Subito unique account identifier for the advertiser. |
region | String | 🟢 High (100%) | Official administrative region (e.g., "Lombardia", "Lazio"). |
city | String | 🟢 High (100%) | Province or major metro area (e.g., "Milano", "Roma"). |
town | String | 🟡 Conditional (~70%) | Specific municipality or neighborhood when specified. |
publishedDate | String | 🟢 High (100%) | Timestamp when the listing was posted or updated. |
🖼️ Visual Media
| Field Name | Type | Coverage | Description & Sample Values |
|---|---|---|---|
imageUrl | String | 🟢 High (>95%) | High-resolution primary preview image URL. |
images | Array | 🟢 High (>95%) | Array of all gallery photo URLs uploaded for the listing. |
nbImages | Number | 🟢 High (100%) | Total number of uploaded product images. |
📈 Scalability, performance & deduplication
- Automatic Deduplication — Each record is verified against an internal set of observed listing IDs. Even when crawling dozens of overlapping keywords or regional URLs, duplicate listings are filtered out before reaching your dataset.
- Deep Pagination Without Hard Caps — Setting
maxPagesPerSearch: 0removes artificial page limits, letting the scraper crawl deeply through hundreds of pages until your specifiedmaxItemstarget is fulfilled. - Optimized Network Efficiency — Requests are processed using lightweight HTTP protocol emulation, minimizing resource consumption and memory overhead. A standard 1,000-listing run typically executes in under 90 seconds.
- Resource Sizing — Runs reliably on lightweight memory profiles (512 MB to 1024 MB), keeping execution costs minimal.
🔄 Programmatic API & developer integration
You can trigger this actor and fetch results programmatically using Python, Node.js, or direct HTTP API calls.
Python Example
from apify_client import ApifyClientclient = ApifyClient("YOUR_APIFY_TOKEN")run_input = {"searchTerms": ["ducati monster"],"sellerType": "private","maxItems": 300,"maxPagesPerSearch": 0}# Run the actor and wait for it to finishrun = client.actor("haketa/subito-scraper").call(run_input=run_input)# Fetch results from the run's datasetdataset_items = client.dataset(run["defaultDatasetId"]).list_items().itemsfor item in dataset_items:print(f"{item['title']} - €{item['price']} ({item['city']}, {item['region']})")
Node.js Example
import { ApifyClient } from 'apify-client';const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });const input = {searchTerms: ['bmw gs 1250'],maxItems: 500,maxPagesPerSearch: 0,};const run = await client.actor('haketa/subito-scraper').call(input);const { items } = await client.dataset(run.defaultDatasetId).listItems();console.log(`Collected ${items.length} listings from Subito.it`);
Direct cURL Request
curl -X POST "https://api.apify.com/v2/acts/haketa~subito-scraper/runs?token=YOUR_APIFY_TOKEN" \-H "Content-Type: application/json" \-d '{"searchTerms": ["alfa romeo giulia"],"maxItems": 250,"maxPagesPerSearch": 0}'
💡 Best practices for high-yield scraping
- Leverage Start URLs for Complex Filtering — If you need granular filters (such as maximum vehicle mileage, specific model years, or narrowed postal codes), configure the search on the live Subito.it website, copy the resulting URL, and paste it into
startUrls. - Segment Commercial vs Private Sellers — For B2B lead generation, set
sellerType: "business"to filter out individual hobby sellers and isolate commercial retailers. - Use Focused Multi-Term Searches — Rather than searching for broad terms like
"auto", submit specific search batches like["golf 7 r line", "audi a3 s line", "bmw 120d"]for higher relevance and conversion value. - Schedule Periodic Batches — Running periodic daily scrapes with moderate
maxItemslimits ensures you capture newly listed items before they sell out. - Stick with Datacenter Proxies — The actor's built-in session cycling allows datacenter proxies to extract listings smoothly at ultra-low operational costs.
❓ Frequently Asked Questions (FAQ)
Do I need an active Subito.it account to run this scraper?
No. The scraper operates completely unauthenticated. It collects publicly accessible marketplace listings without requiring user login credentials, cookies, or subscription keys.
How does this scraper handle pagination?
The actor detects Subito's pagination structure automatically (?o=2, ?o=3, etc.). Setting maxPagesPerSearch: 0 ensures unlimited pagination up to your defined maxItems threshold.
Can I export results to Excel or CSV?
Yes. From the Apify Console dataset view, you can export your scraped data with one click in CSV, Excel (XLSX), JSON, XML, or RSS formats.
How fast does the scraper collect listings?
The scraper processes approximately 300 to 600 listings per minute depending on proxy latency and query depth.
Does the scraper return full image galleries?
Yes. In addition to the primary cover thumbnail (imageUrl), the images array contains direct links to every high-resolution photo uploaded by the seller.
Are phone numbers or direct email addresses included?
Subito.it requires interactive human authentication and SMS verification to reveal masked seller contact numbers on the live site. However, business listings frequently display company contact info, websites, or business names within the description or sellerName fields.
Can I scrape specific Italian provinces or cities?
Yes. Simply filter by your target province on Subito.it, copy the URL from your browser address bar, and paste it into the startUrls input field.
What happens if a listing has no price listed?
Listings with negotiable prices or "contact for price" will return price: null, preserving valid numeric formatting across all standard records.
📋 Changelog
Version 1.2 (2026-11)
- Deep Pagination Unlock: Upgraded
maxPagesPerSearchto support0(unlimited auto-pagination), enabling seamless 1,000+ listing extractions. - High-Yield Batching: Optimized HTTP session cycling and error recovery for long-running extractions across deep catalog pages.
- Enhanced Normalization: Improved extraction of category-specific attributes, price normalization, and regional geographic metadata.
- Updated Documentation: Added visual status badges, comprehensive field coverage indicators, code integration recipes, and expanded B2B automation use cases.
Version 1.1
- Added support for multiple concurrent
searchTermsand multi-URL inputs. - Implemented robust
sellerTypeclassification (privatevsbusiness). - Integrated automated deduplication by listing ID.
Version 1.0
- Initial release with keyword searching, price filtering, and clean JSON/CSV dataset export.