Private Car Seller Leads — Under-Market Cars for Dealer Acquisition

Find private (non-dealer) car sellers priced under the dealer-market median — a ready-to-call acquisition lead feed for car dealer buying teams.

Give it a make, a model and a country. The actor runs that country's car marketplace, splits every listing into dealer vs private seller, computes the dealer-market median asking price for each model-year bucket, and returns the private listings priced under that median. Those are the cars a dealer can buy from a private owner for less than the trade is asking for the same car, same age.

Why use it

Dealer stock-acquisition desks spend their day hunting private sellers who under-price their car. This actor does that hunt automatically:

• The median is built only from dealers. The benchmark is the price the trade actually asks for that car at that age — not a blended average across all sellers.
• Only private sellers come back as leads. Every row is a person a buyer can contact, never another dealer.
• Age-matched, not blended. A 2018 car is compared to 2018-ish dealers, never to a median dominated by newer stock. A listing with no same-age dealer comparison is left out rather than flagged against an irrelevant number.
• A new-lead delta. Each run marks which leads are new since the last run, so a scheduled run can feed a CRM without re-surfacing yesterday's cars.

It is a lead generator, not a price index. If a query has no under-market private cars, it returns nothing — that is a correct, honest empty result.

How to find private car seller leads in Europe

1. Pick a country (Romania is the production-verified flagship market; Czechia is also supported).
2. Enter a make and model. High-volume pairs (for Romania, Dacia Logan or Dacia Sandero) give the densest dealer sample and therefore the most reliable median.
3. Optionally set a year range, the year bucket window (how many model years around a listing count as "same age"), the minimum dealer sample, and the parts-noise floor.
4. Run it. The actor fans out to the country's marketplace scraper, dedupes by listing URL, filters to your make/model, and computes per-year dealer medians.
5. Read the dataset: every row is a private listing priced under the dealer median for its age, sorted by the biggest discount first. Set Only new leads on a schedule to receive just the fresh ones.

How to scrape private car seller leads

The actor does the scraping for you: it drives the national car marketplace's own search, pulls the listings for your make and model, reads each one's price, model year and dealer/private flag, and returns only the private cars that come in under the dealer median for their age. You never touch a selector or a proxy — you give it a make, a model and a country, and it returns the leads.

Input

Field	Type	Description
make	string	Car manufacturer, e.g. Dacia, Volkswagen, BMW. Default Dacia.
model	string	Car model, e.g. Logan, Golf. Default Logan.
country	select	RO (Autovit) or CZ (Sauto). Default RO.
sources	array	Advanced: override the child scrapers, ignoring the country default.
yearMin / yearMax	integer	Optional model-year bounds.
yearWindow	integer	Model years around a listing counted as "same age" for the median (±N). Default 1.
minDealerSample	integer	Minimum dealers in the age bucket before a median is trusted. Default 4.
minPctFloorPercent	integer	A lead must cost at least this % of the median (drops parts/typos). Default 15.
onlyNew	boolean	Only emit leads not seen in a previous run. Default false.
maxItemsPerSource	integer	Cap on listings pulled before filtering. Default 60.
timeoutPerSourceSecs	integer	Per-source wait before treating a source as failed. Default 240.
proxyConfiguration	object	Residential proxy, scoped to the market country.

Output

Each row is one qualified private-seller lead.

Field	Example	Description
make	Dacia	Manufacturer
model	Logan 1.5 dCi	Model / variant
year	2018	Model year
price	4550	The private seller's asking price
currency	EUR	Local currency of the market
marketMedian	6750	Median dealer asking price for this model-year bucket
pctBelowMedian	32.6	How far under the dealer median this listing is priced
dealerSampleSize	6	Number of dealer listings the median was computed from
medianBasis	2018±1y	The age bucket used for the median
sellerType	private	private (explicit) or unknown (no dealer signal); dealers are never emitted
sellerContact	null	Phone where the listing card exposes it (usually hidden behind a detail page)
listingTitle	Dacia Logan 1.5 dCi Preference	Full listing title
mileageKm	168000	Odometer, where available
fuelType	Diesel	Fuel type, where available
location / city	Cluj	Where the car is
country	RO	Market country
portal	Autovit	Which marketplace the lead came from
url	https://www.autovit.ro/...	Direct link to the listing
isNew	true	Not seen in a previous run
firstSeenAt	2026-07-21T...	When this lead was first detected
detectedAt	2026-07-21T...	This run's timestamp

Example output

{
  "make": "Dacia",
  "model": "Logan 1.5 dCi",
  "year": 2018,
  "price": 4550,
  "currency": "EUR",
  "marketMedian": 6750,
  "pctBelowMedian": 32.6,
  "dealerSampleSize": 6,
  "medianBasis": "2018±1y",
  "sellerType": "private",
  "sellerContact": null,
  "listingTitle": "Dacia Logan 1.5 dCi Preference",
  "mileageKm": 168000,
  "fuelType": "Diesel",
  "location": "Cluj-Napoca",
  "city": "Cluj-Napoca",
  "country": "RO",
  "portal": "Autovit",
  "url": "https://www.autovit.ro/autoturisme/anunt/dacia-logan-...",
  "isNew": true,
  "firstSeenAt": "2026-07-21T13:54:56.891Z",
  "detectedAt": "2026-07-21T13:54:56.891Z"
}

How the median works

For each private listing, the actor collects every dealer listing of the same make/model within yearWindow model years (default ±1) of that listing's year. If there are at least minDealerSample of them (default 4), it takes their median asking price as the market benchmark. The private listing qualifies as a lead when its price is under that median and above the parts-noise floor.

There is deliberately no all-years fallback. Comparing a 2008 car to a median dominated by 2022 cars would manufacture a fake "80% below market" signal. A private listing with no same-age dealer comparison is simply not flagged — the actor would rather return fewer, trustworthy leads than a pile of misleading ones.

Cost estimate

Pricing is pay-per-event: a small start fee plus a per-lead charge. You pay for qualified leads returned, not for the raw listings scanned. A typical run of a high-volume make/model returns a handful to a few dozen leads.

Limitations

• Contact is usually hidden. Most marketplaces expose a seller's phone only on the detail page behind an interaction, so sellerContact is often null. The listing url is always present for follow-up.
• Lead volume follows inventory. A rare make/model, or a narrow year range, may have too few same-age dealers to form a median — those listings are skipped, and the run can legitimately return nothing.
• Markets. Romania (Autovit) is the verified flagship; Czechia (Sauto) is supported. More countries are added as their national-marketplace scrapers are verified for clean make/model filtering and priced dealer/private data.
• It reflects asking prices, not sold prices. A cheap private ask can mean a motivated seller, a needed repair, or a mistake — the actor surfaces the candidate, the buyer still qualifies the car.

Related scrapers

• EU Car Arbitrage Scanner — the same car data, scored for cross-border resale gaps instead of private-vs-dealer.
• Autovit Scraper / Sauto Scraper — the underlying single-market car scrapers.
• France Pige Pro / Belgium Property Pige — the same private-seller lead approach for real estate.