La Centrale Market Analytics: used-car inventory and price statistics

Turn La Centrale (lacentrale.fr, a large French used-car marketplace) into market data. Instead of thousands of raw listings you get inventory counts (how many cars are for sale per make, model, fuel, gearbox, region, deal rating) and price, mileage and year statistics (min, max, average, median, quartiles) for any brand or model, computed from live listings. No login.

Who it is for

• Dealers and pricing teams: benchmark your asking prices against the live market for the same model.
• Analysts and investors: size segments and watch supply by make, model, fuel or region over time.
• Valuation, insurance and finance teams: reference price and mileage distributions per model.
• Journalists and researchers: quantify the French used-car market.

Two analysis modes

1. Inventory counts (analysisType: "inventory")

One row per facet bucket. Facets: MAKE_MODEL (make with a model sub-bucket), ENERGY, GEARBOX, REGION, GOOD_DEAL_BADGE, EXTERNAL_COLOR, CUSTOMER_FAMILY_CODE. Optionally scope the counts to a make or a make and model.

Field	Description
facet	Facet name, e.g. vehicle.make, vehicle.energy, location.visitPlace.region
key	Bucket key, e.g. RENAULT, DIESEL, FR-IDF
count	Live listings in that bucket
subKey, subCount	Sub-bucket (a model under a make) and its count, otherwise null
families	Vehicle families analysed

2. Price and mileage statistics (analysisType: "priceStats")

A single summary row for a make (and optional model, fuel type), computed from a sample of live listings.

Field	Description
make, model, families, energies	What was analysed
totalAvailable	Live listings matching the filter
sampleSize	Listings used for the statistics
priceEur, mileageKm, year	count, min, max, avg, median, p25, p75
dealBadgeCounts	Good-deal ratings in the sample
sellerTypeCounts	Dealer (PRO) vs private (PART) split in the sample

The sample is taken in La Centrale's default relevance order (not random), so it leans towards dealer listings. A larger sampleSize (up to 1000) gives a fuller picture; totalAvailable is always the full live count.

Example input

{
    "analysisType": "priceStats",
    "make": "PEUGEOT",
    "model": "208",
    "families": "AUTO",
    "sampleSize": 150
}

Example output (priceStats)

{
    "make": "PEUGEOT",
    "model": "208",
    "families": "AUTO",
    "energies": null,
    "totalAvailable": 8915,
    "sampleSize": 150,
    "priceEur": {
        "count": 150,
        "min": 4890,
        "max": 32290,
        "avg": 15990.4,
        "median": 15177,
        "p25": 12071.8,
        "p75": 19487.5
    },
    "mileageKm": {
        "count": 150,
        "min": 5,
        "max": 185434,
        "avg": 43128.2,
        "median": 32956,
        "p25": 10119.8,
        "p75": 61130
    },
    "year": {
        "count": 150,
        "min": 2012,
        "max": 2026,
        "avg": 2022.9,
        "median": 2023,
        "p25": 2022,
        "p75": 2025
    },
    "dealBadgeCounts": {
        "GOOD_DEAL": 68,
        "EQUITABLE_DEAL": 67,
        "VERY_GOOD_DEAL": 8,
        "BAD_DEAL": 5
    },
    "sellerTypeCounts": {
        "PRO": 150
    }
}

Example output (inventory, MAKE_MODEL facet)

[
    {
        "facet": "vehicle.make",
        "key": "ABARTH",
        "count": 448,
        "subKey": "124",
        "subCount": 8,
        "families": "AUTO,UTILITY"
    },
    {
        "facet": "vehicle.make",
        "key": "ABARTH",
        "count": 448,
        "subKey": "500",
        "subCount": 417,
        "families": "AUTO,UTILITY"
    },
    {
        "facet": "vehicle.make",
        "key": "ABARTH",
        "count": 448,
        "subKey": "850",
        "subCount": 1,
        "families": "AUTO,UTILITY"
    }
]

Scheduling

Schedule daily or weekly runs to build a time series of prices and inventory for depreciation and supply tracking. Attach a webhook to push each snapshot to a warehouse or Google Sheet.

FAQ

Where do the numbers come from? Live La Centrale inventory. Facet counts cover the whole market; price statistics come from the sample you size with sampleSize.

Do I need a proxy or an account? No. The actor works without either. If La Centrale blocks the server IP it retries through an Apify Residential (France) exit, billed to your account as proxy usage.

How big is an inventory run? A full MAKE_MODEL snapshot with no make filter returned 1,640 rows in a test run; scoping to one make returns a few dozen.

Is this allowed? The actor aggregates publicly visible listing data. Use the output in line with La Centrale's terms and applicable law.