European Car Search

Search twelve European car-classifieds sites in a single run. This actor queries each site in parallel, normalizes every listing to a common schema, converts prices to EUR using live ECB rates, and removes duplicates. One search across a dozen national markets.

No login. No cookies. No account.

What it does

• Searches 12 European car sites at once: Auto24 (EE), Autoplius (LT), Autovit (RO), Avto.net (SI), Car.gr (GR), DoneDeal (IE), Használtautó (HU), Mobile.bg (BG), Nettiauto (FI), Otomoto (PL), Polovni Automobili (RS), Sauto (CZ).
• Normalizes every listing to a common schema (title, make, model, year, mileage, fuel type, location).
• Converts prices to EUR with live European Central Bank rates, so a listing in złoty and one in forint are directly comparable.
• Deduplicates by listing URL and sorts results by EUR price, cheapest first.

How to scrape European car listing data

1. Enter a make and model in the Search Query field, for example bmw 3 series, volkswagen golf, or toyota corolla.
2. Optionally restrict to certain countries with the Countries field (for example ["PL", "CZ"]). Leave it empty to query every site.
3. Set Max Items Per Site to control how many listings are pulled from each site.
4. Run the actor. Each site is queried in parallel, listings are normalized, priced in EUR, and deduplicated.
5. Open the dataset. Each row is one unique car listing with the site it came from.

Input

Field	Type	Description
searchQuery	string	Make and model to search for. Defaults to bmw 3 series.
countries	array	Optional country filter. Empty means all sites.
maxItemsPerSite	integer	Max listings per site (1–200, default 20).
timeoutPerSiteSecs	integer	Max seconds to wait per site (30–600, default 120).
proxyConfiguration	object	Proxy settings passed to the underlying scrapers. Residential recommended.

Example input

{
    "searchQuery": "volkswagen golf",
    "countries": ["PL", "CZ", "HU"],
    "maxItemsPerSite": 25,
    "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] }
}

Output

Each item in the dataset is one unique car listing:

{
    "title": "BMW 320d Touring 2019",
    "make": "BMW",
    "model": "320d",
    "year": 2019,
    "mileage": 98000,
    "price": 89000,
    "currency": "PLN",
    "priceEur": 20470,
    "fuelType": "Diesel",
    "transmission": "Automatic",
    "location": "Warszawa",
    "country": "PL",
    "url": "https://...",
    "source": "Otomoto",
    "imageUrl": "https://...",
    "scrapedAt": "2026-06-15T18:00:00.000Z"
}

Field	Description
title	Listing title.
make / model	Vehicle make and model, if available.
year	Registration or build year, if available.
mileage	Mileage in km, if available.
price / currency	Price in the site's native currency.
priceEur	Price converted to EUR with live ECB rates.
fuelType / transmission	If available.
location	City or region, if available.
country	ISO country code of the source site.
url	Link to the original listing.
source	Name of the site the listing came from.
scrapedAt	ISO 8601 timestamp.

A final __SUMMARY__ item lists which sites answered, which failed, the total unique listings, and how many duplicates were removed.

Currency conversion

Prices arrive in each site's local currency. The actor fetches live EUR reference rates from the European Central Bank at the start of every run and converts each price to EUR for comparison. If the rate service is unreachable, it falls back to a built-in rate table so the run still completes. Native price and currency are always preserved.

Use cases

• Cross-border car-price research before importing a vehicle.
• Spotting arbitrage where the same model sells far cheaper in one country.
• Feeding a vehicle-pricing dashboard with EUR-normalized listings.
• Market analysis of a model's availability and pricing across Europe.

Notes

• This is a meta-actor. It orchestrates our individual national car-site scrapers and runs them in parallel, so a single run can cover many markets at once.
• Field coverage depends on each site exposing make, model, mileage and the rest; not every site provides every field.
• Coverage for a query depends on each underlying site returning results. A common make and model matches more sites than a rare trim.
• Use residential proxies for the most reliable results.