Standvirtual Scraper - Portugal Used Cars, Prices & Specs

Built and maintained by Az Digital Consulting LU.

Scrape Standvirtual at scale. This scraper extracts structured data from Standvirtual - Portugal's #1 automotive marketplace and part of the OLX Group. Filter by car brand, model, price range, or registration year, and receive clean, flat JSON for every listing: title, brand, model, price in EUR, registration year, mileage (km), fuel type, and direct URL to the listing.

Fast, lightweight, and cost-effective. The scraper extracts structured schema.org data directly from Standvirtual pages, eliminating the need for heavy headless browsers. Run it once for a market snapshot, or schedule it daily via Apify Scheduler to track how car prices and inventory evolve across Portugal.

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What does Standvirtual Scraper do?

Instead of manually checking listings, you give it a brand (e.g. bmw, mercedes-benz, audi, volkswagen, tesla, renault) or model (e.g. serie-3, classe-a, model-3), set optional price and year constraints, and download the full market data in seconds.

• Numeric EUR prices: Prices are formatted as clean numbers (18900), ready for instant calculations, average valuations, and spread analysis.
• Kilometers and year included: Easily filter out high-mileage vehicles or older registrations.
• Direct ad links: Jump directly to any listing on Standvirtual.com.

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Use Cases

• Automotive Arbitrage & Reselling: Identify underpriced cars in Portugal and compare prices against European platforms (Mobile.de, AutoScout24).
• Dealership Price Monitoring: Track competitor asking prices across Lisbon, Porto, and all Portuguese districts.
• Fleet Valuation & Residual Value Models: Build historic datasets to quantify vehicle depreciation over time.
• Market Research & Consulting: Quantify electric vehicle (EV) vs diesel market share and price evolution in Portugal.

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How to use Standvirtual Scraper

1. Click Try for free.
2. Select or type a Car brand (e.g. bmw, audi, mercedes-benz, or leave empty for all brands).
3. (Optional) Add a Model, Price range, or Registration year.
4. Set Max cars (e.g. 50, 200).
5. Click Start and export your results as JSON, CSV, or Excel.

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Input Parameters

Field	Type	Description	Default
brand	String	Brand slug (e.g. bmw, mercedes-benz, audi, volkswagen)	"bmw"
model	String	Model slug (e.g. serie-3, classe-a, golf, clio)	"" (all)
priceMin / priceMax	Integer	Price range filter in EUR	null
yearMin / yearMax	Integer	Minimum and maximum registration year	null
maxCars	Integer	Total number of listings to collect	50

{
  "brand": "bmw",
  "model": "serie-3",
  "priceMax": 30000,
  "yearMin": 2019,
  "maxCars": 100
}

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Output Example

{
  "id": "8Q0NET",
  "title": "BMW 740",
  "brand": "BMW",
  "price": 17900,
  "currency": "EUR",
  "year": 2012,
  "mileage": 174005,
  "fuelType": "Diesel",
  "url": "https://www.standvirtual.com/carros/anuncio/bmw-740-ver-d-auto-ID8Q0NET.html"
}

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Automated & Recurring Workflows (Apify Scheduler)

To monitor price changes, price drops, and new car arrivals automatically:

1. In the Actor console, click Schedules > Add new schedule.
2. Choose frequency (e.g. @daily at 8:00 AM).
3. Connect your output via Webhook, Google Sheets, Make, or n8n.

Python Integration Example

from apify_client import ApifyClient

client = ApifyClient("<YOUR_API_TOKEN>")

run = client.actor("plum_spear/aztec-standvirtual").call(
    run_input={"brand": "tesla", "maxCars": 50}
)

cars = client.dataset(run["defaultDatasetId"]).list_items().items
for car in cars:
    print(f"{car['title']} - €{car['price']} ({car['year']}, {car['mileage']} km)")

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Pricing

This Actor operates on transparent Pay-Per-Event (PPE) pricing:

• $0.30 per 1,000 car listings
• Small start fee per execution.
• Testing is covered by Apify's free monthly platform credits.