Subito Auto Scraper
Pricing
from $3.00 / 1,000 results
Subito Auto Scraper
Scrape used cars from subito.it (Auto category) with structured filters (make, model, region, price, fuel). Returns price, mileage, year, location, and listing URL.
Pricing
from $3.00 / 1,000 results
Rating
0.0
(0)
Developer
Marco Rodrigues
Maintained by CommunityActor stats
0
Bookmarked
2
Total users
1
Monthly active users
a day ago
Last modified
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🚗 Subito Auto Scraper
Want to find used cars on Subito.it or analyze the Italian private + dealer market? This scraper makes it super easy!
Paste an input_url from your browser once you've already filtered on Subito, or use structured filters (make, model, region, price, fuel type, etc.) — structured filters work better for AI agents. When input_url is set it overrides the filters. Either way, you get up to 2000 car listings from the Auto section only, with pricing, specs, and location as CSV or JSON.
💡 Perfect for...
- Car Buyers: Monitor deals from private sellers and dealers across Italy.
- Dealerships: Track competitor inventory and pricing on Subito.
- Market Research: Analyze Italian used-car supply by brand, region, mileage, and fuel.
- Data Analysts: Export clean structured data for dashboards and pricing models.
- 🤖 AI Agents: Power bots and OpenClaw workflows with real-time Subito Auto listings.
- 📚 RAG Systems: Feed vehicle specs and prices into retrieval pipelines.
- 🔗 AI Workflows: Plug into LangChain, AutoGPT, CrewAI, and similar stacks.
✨ Why you'll love this scraper
- 🔗 Input URL or Filters: Paste a Subito Auto search URL (
input_url) if you already filtered in the browser, or use structured filters (better for AI agents).input_urlalways wins when set. - 🎯 Structured Filters: Search by make, model, region, city, condition, body type, price, mileage, year, fuel, gearbox, and seller type — no URL crafting.
- 🚗 Auto Only: Scoped to Subito Auto — ignores immobili, elettronica, etc.
- ⚙️ Rich Listings: Price, year, mileage, fuel, gearbox, body, location, and images.
- 🔎 Optional Deep Dive: Turn on
enrich_detailsfor extra fields from each ad page (usually unnecessary). - ⏱️ Sorting Options: Newest, relevance, price, year, mileage, power, or length.
- 🇮🇹 Built for Italy: All 20 regions with a live make dropdown fetched from Subito's brands API.
📦 What's inside the data?
For every single car listing, you will get:
- Core Details:
id,title,url,image,photo_count,description,published_at - Location:
location,region,province,town - Technical Specs:
make,model,version,fuel_type,gearbox,mileage,year,body_type,doors,seats,color,power,emission_class,condition - Pricing & Seller:
price,seller_type,seller_name - Extras:
neopatentatiwhen present
🛠️ Sort options
Use the sort_by parameter:
- Most Recent – Newest listings first
- Most Relevant – Subito relevance ranking
- Lowest / Highest Price
- Newest / Oldest Year
- Lowest / Highest KM
- Lowest / Highest Power
- Shortest / Longest Length
🚀 Quick start
Option A — Input URL
- Open Subito Auto, apply filters in the browser, copy the results URL.
- Paste it into
input_url. - Set
max_carsand click Start.
Option B — Structured filters (better for AI agents)
- Leave
input_urlempty. - Set filters (e.g. make
FIAT, modelPanda), optional region/city, price / mileage / year / fuel. - Choose
sort_byandmax_cars(up to 2000). - Click Start and export CSV, Excel, or JSON when done.
Tech details for developers 🧑💻
Input Example (filters)
{"make": "FIAT","model": "Panda","region": "Lombardia","price_max": 10000,"energy": "Benzina","sort_by": "Lowest Price","max_cars": 100}
Input Example (URL override)
{"input_url": "https://www.subito.it/annunci-lombardia/vendita/auto/?q=bmw","max_cars": 100}
Output Example
{"id": "654772709","title": "Panda anno 2010","url": "https://www.subito.it/auto/panda-anno-2010-napoli-654772709.htm","image": "https://images.sbito.it/api/v1/sbt-ads-images-pro/images/70/…?rule=gallery-800-w","price": 3000,"year": 2010,"mileage": 163000,"fuel_type": "Benzina","gearbox": "Manuale","body_type": "Utilitaria","location": "Giugliano in Campania, Napoli, Campania","make": "FIAT","model": "Panda","seller_type": "Private"}
📋 Input reference (detailed)
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
input_url | string | No | — | Paste a Subito Auto search URL; overrides all filters below when set. Leave empty to use filters (better for AI agents). |
make | string enum | No | any | Brand as on Subito, fetched live from Subito's brands API (e.g. FIAT, BMW, ALFA ROMEO). Empty = all brands. |
model | string | No | — | Free-text model name (e.g. Panda). Only used when make is set; not a dropdown. |
query | string | No | — | Free-text keywords. |
region | string enum | No | "" (all Italy) | Italian region (e.g. Lombardia, Lazio, Campania). Empty = nationwide. |
city | string | No | — | City or province text. |
condition | string enum | No | any | Usato, Km0, Nuovo. |
body_type | string enum | No | any | Utilitaria, Berlina, Station Wagon, Monovolume, SUV/Fuoristrada, Cabrio, Coupé, City Car, Altro. |
price_min / price_max | integer | No | — | Price range in euros. |
mileage_min / mileage_max | integer | No | — | Mileage range in km. |
year_min / year_max | integer | No | — | Registration year range. |
energy | string enum | No | any | Fuel type as shown on Subito (Benzina, Diesel, Gpl, Elettrica, Ibrida, …). |
gearbox | string enum | No | any | Manuale, Automatico, Sequenziale, Altro. |
seller_type | string enum | No | any | Privato or Azienda. |
sort_by | string enum | No | Most Recent | See sort options above. |
max_cars | integer | Yes | 50 | How many listings to return (1–2000). |
enrich_details | boolean | No | false | Fetch each ad page for extra fields (slower; rarely needed). |
listing_urls | string[] | No | — | Direct ad URLs. If provided without search filters, only these are scraped. |
Notes on filters
input_urlalways wins over filters when provided.- This Actor only scrapes cars (Subito Auto). Motori accessories, moto, immobili, etc. are out of scope.
- Each run returns at most
max_carslistings (1–2000). - Prefer official Subito brand names when filtering by make.