🚗 automobile.it Scraper

Want to find the perfect used car or analyze the Italian automotive market? This scraper makes it super easy!

Paste an input_url from your browser once you've already filtered on automobile.it, or use structured filters (make, model, region, city, 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 automobile.it with pricing, specs, and location as CSV or JSON.

💡 Perfect for...

• Car Buyers: Monitor the market for the best deals on your dream car in Italy.
• Dealerships: Keep an eye on competitors' pricing and inventory to stay competitive.
• Market Research: Analyze trends in the Italian used car market (average prices, popular models, mileage vs. price).
• Data Analysts: Download clean, structured data for visualizations, dashboards, or predictive pricing models.
• 🤖 AI Agents: Power your autonomous agents with real-time car listings. Perfect for OpenClaw workflows and bots tracking specific vehicles.
• 📚 RAG Systems: Feed detailed car specifications and pricing into Retrieval-Augmented Generation pipelines to answer complex queries about the automotive market.
• 🔗 AI Workflows: Integrate seamlessly with LangChain, AutoGPT, CrewAI, and other AI frameworks that need structured automotive data.

✨ Why you'll love this scraper

• 🔗 Input URL or Filters: Paste an automobile.it search URL (input_url) if you already filtered in the browser, or use structured filters (better for AI agents). input_url always wins when set.
• 🎯 Structured Filters: Search by make, model, Italian region/city, price, mileage, year, fuel, gearbox, and body type — no URL crafting required.
• ⚙️ Rich Listings: Extracts price, year, mileage, fuel type, gearbox, power, location, dealer, and images out of the box.
• 🔎 Optional Deep Dive: Turn on enrich_details for description, colour, doors, seats, accessories, consumption, and dealer phone/address.
• ⏱️ Sorting Options: Traverse results from most relevant to lowest price, mileage, newest ads, or newest registration year.
• 🇮🇹 Built for Italy: Covers all Italian regions and cities from automobile.it (Usate, KM 0, Nuove).

📦 What's inside the data?

For every single car listing, you will get:

• Core Details: id, title, url, image, photo_count, short_description
• Location: location (city and province)
• Technical Specs: make, model, fuel_type, gearbox, mileage, year, power, engine_capacity, registration, channel
• Pricing & Seller: price, seller_type, dealer_name
• With enrich_details: description, color, doors, seats, body_type, accessories, emission_class, co2, consumption_combined, dealer_phone, dealer_address, dealer_url, images

🛠️ Sort options

You can tell the scraper what order to read the listings in using the sort_by parameter:

• Most Relevant – Site default ranking
• Lowest / Highest Price
• Most Recent / Oldest First
• Lowest KM
• Newest Year

🚀 Quick start

Option A — Input URL

1. Open automobile.it, apply filters in the browser, copy the results URL.
2. Paste it into input_url.
3. Set max_cars and click Start.

Option B — Structured filters (better for AI agents)

1. Leave input_url empty.
2. Set filters (e.g. make fiat, model Panda, max price 10000).
3. Optionally pick a region or city, choose sort_by, and set max_cars (up to 2000).
4. (Optional) Enable enrich_details for full ad-page specs.
5. Click Start and export CSV, Excel, or JSON when done.

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Tech details for developers 🧑‍💻

Input Example (filters)

{
  "make": "fiat",
  "model": "Panda",
  "city": "Milano",
  "price_max": 10000,
  "energy": "gpl",
  "sort_by": "Lowest Price",
  "max_cars": 100
}

Input Example (URL override)

{
  "input_url": "https://www.automobile.it/fiat-panda",
  "max_cars": 100
}

Output Example

{
  "id": "180506605",
  "title": "Fiat Panda 1.2 EasyPower Lounge",
  "url": "https://www.automobile.it/uboldo-fiat-panda-1-2-easypower-lounge/180506605",
  "image": "https://media-ys.automobile.it/api/v1/am-ad/images/0de85d1a9925df515d7d95bc194a5ef2?rule=ad-568.jpeg",
  "price": 4950,
  "year": 2018,
  "mileage": 290000,
  "fuel_type": "GPL",
  "gearbox": "Manuale",
  "power": "69 CV (51 KW)",
  "engine_capacity": "1242 cc",
  "location": "Uboldo (VA)",
  "photo_count": 16,
  "make": "FIAT",
  "model": "Panda",
  "channel": "Usato",
  "seller_type": "Professional",
  "dealer_name": "A.F. AUTO DI ALI WEHBE",
  "registration": "Maggio 2018"
}

📋 Input reference (detailed)

Parameter	Type	Required	Default	Description
input_url	string	No	—	Paste an automobile.it search URL; overrides all filters below when set. Leave empty to use filters (better for AI agents).
make	string enum	No	any	Car brand slug, fetched live from automobile.it's makes API (e.g. fiat, bmw, mercedes_benz, alfa_romeo). Empty = all brands.
model	string	No	—	Free-text model name (e.g. Panda, Golf, Serie 3). Only used when make is set; not a dropdown.
region	string enum	No	"" (all Italy)	Italian region (e.g. Lombardia, Lazio, Veneto).
city	string	No	—	City name (e.g. Milano, Roma, Torino). Takes priority over region when both are set.
channel	string enum	No	usate	Listing channel: usate (used), km0, nuove (new), noleggio (rental), or empty for all ads.
body_type	string enum	No	any	Body style: berlina, city_car, station_wagon, monovolume, suv, cabrio, auto_sportiva, 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	—	First-registration year range.
energy	string enum	No	any	Fuel type: benzina, diesel, gpl, metano, elettrica (electric), ibrida_benzina, ibrida_diesel, idrogeno (hydrogen), etanolo (ethanol).
gearbox	string enum	No	any	Transmission: manuale, automatico, semiautomatico.
sort_by	string enum	No	Most Relevant	Result order (see sort options above).
max_cars	integer	Yes	50	Maximum listings to return (1–2000).
enrich_details	boolean	No	false	If true, open each ad page for richer specs and dealer contact fields. Slower.
listing_urls	string[]	No	—	Optional direct ad URLs. If set without other search filters, only these URLs are scraped.

Notes

• input_url always wins over filters when provided.
• Each run returns at most max_cars listings (1–2000).
• Prices are always entered and returned in euros.
• make is a dropdown fetched from automobile.it's live makes API, so it always stays in sync with the site's brand list.