Standvirtual Scraper

🚗 Standvirtual Scraper

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

Paste an input_url from your browser once you've already filtered on Standvirtual — great for people — or use structured filters (make, model, price, mileage, year, fuel, gearbox, body type) — great for AI agents. When input_url is set it overrides the filters. Either way, you get up to 1000 car listings with technical specifications, pricing, and seller details as CSV or JSON.

💡 Perfect for...

• Car Buyers: Monitor the market for the best deals on your dream car.
• Dealerships: Keep an eye on competitors' pricing and inventory to stay competitive.
• Market Research: Analyze trends in the Portuguese used car market (average prices, most popular models, mileage vs. price depreciation).
• Data Analysts: Download clean, structured data for visualizations, dashboards, or predictive pricing models.
• 🤖 OpenClaw & 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 a Standvirtual search URL (input_url) if you already filtered in the browser, or use structured filters for agent-friendly runs. input_url always wins when set.
• 🎯 Structured Filters: Search by make, model, price, mileage, year, fuel, gearbox, and body type — no URL crafting required.
• ⚙️ Deep Specifications: Extracts not just the price, but detailed specs like engine power, capacity, fuel type, gearbox, mileage, and registration year.
• ⏱️ Sorting Options: Control how you traverse the results—from the newest listings to the lowest price or lowest mileage.
• 👤 Seller Insights: Distinguish between professional dealerships and private sellers.

📦 What's inside the data?

For every single car listing, you will get:

• Core Details: id, title, url, image, created_at, short_description
• Location: location_city, location_region
• Technical Specs: make, model, fuel_type, gearbox, mileage, engine_capacity, engine_power, first_registration_year
• Pricing & Seller: price, seller_type
• Promotional Status: is_premium_top_ad, is_highlighted, is_promoted

🛠️ Sort options

You can tell the scraper what order to read the listings in using the filter_by parameter (default: Featured):

• Featured – Top promoted ads
• Most Recent – Newest listings first
• Lowest / Highest Price
• Lowest / Highest KM Distance
• Lowest / Highest Power

🚀 Quick start

Option A — Input URL (great for people)

1. Open Standvirtual, 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 (great for AI agents)

1. Leave input_url empty.
2. Set filters (e.g. make BMW, max price 15000, fuel diesel).
3. Choose filter_by and max_cars (up to 1000).
4. Click Start and export CSV, Excel, or JSON when done.

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Tech details for developers 🧑‍💻

Input Example (structured filters):

{
  "make": "BMW",
  "model": "320",
  "price_max": 25000,
  "year_min": 2018,
  "energy": "diesel",
  "gearbox": "automatic",
  "filter_by": "Lowest Price",
  "max_cars": 100
}

Input Example (URL override):

{
  "input_url": "https://www.standvirtual.com/carros/mercedes-benz",
  "filter_by": "Most Recent",
  "max_cars": 500
}

Output Example:

{
  "id": "8097373143",
  "title": "Peugeot 2008 1.2 PureTech Active Pack",
  "url": "https://www.standvirtual.com/carros/anuncio/peugeot-2008-ver-1-2-puretech-active-pack-ID8PZKED.html",
  "image": "https://ireland.apollo.olxcdn.com/v1/files/bhgdo59ox8k3-STDVTLPT/image;s=320x240",
  "created_at": "2026-03-16T16:08:17Z",
  "short_description": "peugeot 2008",
  "location_city": "Setúbal",
  "location_region": "Setúbal",
  "make": "peugeot",
  "model": "2008",
  "engine_code": null,
  "fuel_type": "gaz",
  "gearbox": "manual",
  "mileage": "30564",
  "engine_capacity": "1199",
  "engine_power": "102",
  "first_registration_year": "2024",
  "price": "17990",
  "seller_type": "ProfessionalSeller",
  "is_premium_top_ad": null,
  "is_highlighted": false,
  "is_promoted": false
}

Parameters:

Parameter	Type	Required	Description
input_url	string	No	Paste a Standvirtual search results URL; overrides all filters below when set. Ideal for humans who already filtered in the browser. Leave empty to use filters (better for AI agents).
make	string	No	Car brand (e.g. BMW, Mercedes-Benz, Peugeot).
model	string	No	Model name (needs make).
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	No	Fuel: petrol, diesel, electric, hybrid, lpg, cng.
gearbox	string	No	manual or automatic.
body_type	string	No	e.g. city-cars, sedan, station-wagon, suv, coupe, convertible, minivan.
filter_by	string enum	No	Default Featured. See sort options above.
max_cars	integer	No	Max cars to scrape (20–1000, default: 500).

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