La Centrale Scraper

All-in-one lacentrale.fr used-car scraper — paste any search or listing URL, or just set a few filters, and get clean structured car data: make, model, version, year, mileage, price, gearbox, fuel, colour, seller, and the decoded contact phone. Flip on detail mode for full specs, warranty, price-drop history, seller Google reviews, equipment and every photo.

Input you give	Rows you get
A search/listing URL (/listing?makesModelsCommercialNames=RENAULT)	One row per car on every result page
A direct classified URL (/auto-occasion-annonce-69118639004.html)	One full detail record for that car
Just filters (make, model, fuel, price, year, mileage, department…)	One row per matching car

Pure HTTP + managed challenge-solving. No headless browser. La Centrale is protected by DataDome — this actor gets past it reliably and parses the car data straight from the page's embedded JSON.

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Why use this scraper

• Two cost tiers, your choice. Card mode (default) reads ~24 fully-structured cars per page fetch — cheap, fast, ideal for market monitoring and lead-gen. Detail mode fetches each car's page for the complete record.
• Decoded seller phone numbers. La Centrale base64-obfuscates dealer phones on the page; this actor decodes them, so every card carries a callable number.
• Seller Google reviews. Detail mode returns each dealer's Google rating, review count and sample reviews — intel no other La Centrale scraper on the Store provides.
• Price intelligence. Detail records include the full price-drop history, La Centrale's "good deal" badge, and its refined market quotation.
• Search however you like. Paste a URL you built on the site, or skip the site entirely and drive it with structured filters.

How it works

1. You give a listing URL, a direct classified URL, or a set of filters (make/model/fuel/price/year/mileage/department).
2. We unlock the page: La Centrale returns a DataDome 403 challenge to any plain HTTP request. The actor solves the challenge on a French residential IP, reuses the resulting session cookie across many pages, and re-solves automatically when a cookie expires.
3. You get clean rows parsed from the page's embedded state (__PRELOADED_STATE_LISTING__ on search pages, SummaryInformationData on detail pages) — as JSON, CSV or Excel.

Supported inputs

Input	Example	Notes
Search/listing URL	https://www.lacentrale.fr/listing?makesModelsCommercialNames=RENAULT	Any filter combination you build on the site; paginated automatically
Direct classified URL	https://www.lacentrale.fr/auto-occasion-annonce-69118639004.html	Always returns a full detail record
Structured filters	make: RENAULT, model: CLIO, energies: [DIESEL], priceMax: 12000	Used when no Start URLs are given

Use cases

• Dealer lead generation — pull thousands of listings with seller names and decoded phone numbers.
• Used-car pricing & market analysis — track prices, mileage, and price-drops across make/model/region over time.
• Inventory monitoring — watch a specific make/model/price band and re-run on a schedule.
• Dealer reputation research — combine listings with each seller's Google rating and reviews (detail mode).
• Competitive intelligence — see what stock competitors list, at what prices, with what equipment.

Input configuration

Field	Type	Required	Notes
startUrls	array	no	Listing or classified URLs. Overrides the filters below.
make	string	no	e.g. RENAULT, PEUGEOT, BMW
model	string	no	e.g. CLIO, 308. Requires make.
energies	array	no	DIESEL, ESSENCE, ELECTRIC, HYBRID, PLUGIN_HYBRID, …
categories	array	no	CITADINE, COMPACTE, BERLINE, SUV_4X4_CROSSOVER, …
gearbox	string	no	MANUAL or AUTO
regions	array	no	French department codes, e.g. 75, 13, 69
priceMin / priceMax	integer	no	Price band in euros
yearMin / yearMax	integer	no	Registration-year band
mileageMin / mileageMax	integer	no	Kilometres band
sortPreset	enum	no	Result order: newestListings (default when set), oldestListings, newestModelYear, oldestModelYear, lowestMileage, lowestPrice, highestPrice. A pasted URL's own sortBy is honoured instead.
onlyWithPhotos	boolean	no	Restrict to listings that include at least one photo
scrapeDetailPages	boolean	no	false (default) = card mode; true = full detail records
maxItems	integer	no	Max cars to return (default 1000)
maxConcurrency	integer	no	Parallel detail fetches (default 6)

Example input

{
  "make": "RENAULT",
  "model": "CLIO",
  "energies": ["DIESEL"],
  "priceMax": 12000,
  "yearMin": 2015,
  "scrapeDetailPages": false,
  "maxItems": 500
}

Output

Card mode (scrapeDetailPages: false) — one row per car

{
  "classifiedId": "87103513329",
  "url": "https://www.lacentrale.fr/auto-occasion-annonce-87103513329.html",
  "reference": "W103513329",
  "make": "RENAULT",
  "model": "CLIO",
  "version": "IV 1.5 DCI 90 BUSINESS EDC EURO6",
  "year": 2015,
  "mileage": 125000,
  "price": 9990,
  "gearbox": "MANUAL",
  "energy": "DIESEL",
  "externalColor": "gris foncé",
  "goodDealBadge": "VERY_GOOD_DEAL",
  "customerType": "PRO",
  "sellerName": "GFC AUTOMOBILES",
  "phone": "0257840171",
  "departmentCode": "44",
  "picturesCount": 24,
  "photoUrl": "https://pictures.lacentrale.fr/classifieds/W103513329_STANDARD_0.jpg",
  "firstOnlineDate": "2026-06-30"
}

Detail mode (scrapeDetailPages: true) — full record

Everything above, plus:

{
  "title": "RENAULT CLIO IV",
  "description": "GARANTIE 6 MOIS MOTEUR / BOITE / PONT\n\nVéhicule entretenu, révision faite…",
  "autovizaReportUrl": "https://autoviza.fr/report/report?uid=2f156c93-1276-488b-a2ca-907b2f54c2c2",
  "priceInitial": 5490,
  "priceCurrent": 4990,
  "priceHistory": [5490, 4990],
  "isPriceDropping": false,
  "refinedQuotation": 6167,
  "reliabilityIndex": 3,
  "firstHand": false,
  "powerDin": 90,
  "fiscalHorsePower": 5,
  "co2Combined": 120,
  "critairLevel": "2",
  "consumptionCity": 5.4,
  "seatingCapacity": 5,
  "constructorWarrantyMonths": 24,
  "equipments": ["Climatisation automatique", "Régulateur de vitesse", "GPS", "..."],
  "sellerType": "CENTRE_MULTIMARQUES",
  "sellerCity": "AUBAGNE",
  "sellerLatitude": 43.316636,
  "sellerLongitude": 5.591536,
  "sellerRating": 3.8,
  "sellerReviewCount": 270,
  "sellerReviewsUrl": "https://maps.google.com/?cid=…",
  "sellerReviews": [
    { "rating": 5, "author": "…", "text": "…", "publishTime": "2026-06-09T08:54:42.000Z" }
  ],
  "images": ["https://pictures.lacentrale.fr/classifieds/…_STANDARD_0.jpg", "…"]
}

Key output fields

Field	Description
make / model / version	Manufacturer, model, and full trim/engine version string
year / mileage / price	Registration year, kilometres, asking price (EUR)
gearbox / energy	Transmission (MANUAL/AUTO) and fuel type
phone	Decoded dealer phone number
sellerName / sellerType / sellerCity	Dealer identity and location
goodDealBadge / refinedQuotation	La Centrale's deal rating and market-price estimate
description	The seller's own free-text ad copy, verbatim (detail mode)
autovizaReportUrl	Link to the car's Autoviza vehicle-history report (detail mode)
priceHistory / isPriceDropping	Full price-change trail (detail mode)
sellerRating / sellerReviews	Dealer Google rating + sample reviews (detail mode)
equipments / images	Full equipment list and every photo URL (detail mode)

FAQ

Do I need proxies or a captcha-solver account? On a paid Apify plan, no — French residential proxying and DataDome challenge-solving are handled inside the actor, and you just provide input. On the free plan the actor cannot use its built-in proxy pool, so you must set Proxy configuration to a French residential proxy (your own proxy URLs, or Apify Proxy with the RESIDENTIAL group and country France). A free-plan run without one stops immediately and says so rather than returning an empty dataset.

Card mode vs detail mode — which should I use? Card mode for volume (market monitoring, lead lists) — it returns ~24 fully-usable cars per page fetch. Detail mode when you need the deep fields (full specs, price history, seller reviews, all images), at a higher per-car cost.

Are seller phone numbers real? Yes — La Centrale obfuscates them on the page (base64); the actor decodes them into standard French numbers.

Why is description sometimes null? Because that seller wrote no ad copy — La Centrale leaves the field empty and hides the section. It is not a scrape gap. autovizaReportUrl is likewise present only for cars La Centrale has an Autoviza history report for.

Why are sellerReviews sometimes empty? Some dealers have no Google reviews linked — that's the true state of the source, not a scrape gap. Private sellers also have no dealer profile.

Can I monitor a specific search on a schedule? Yes — save your filter set (or a listing URL) and run the actor on an Apify schedule.

Notes & limitations

• La Centrale localises and gates content behind DataDome; the actor targets the French (lacentrale.fr) site with French residential exit IPs.
• Detail mode costs more per car than card mode (one page fetch per car vs ~24 cars per fetch) — enable it only when you need the deep fields.
• Fields present only in detail records (specs, price history, seller reviews, equipment, images) are null/empty in card-mode rows by design.

🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/lacentrale-scraper).

Purpose: Scrape used-car listings from lacentrale.fr (make, model, version, year, mileage, price, gearbox, fuel, seller, decoded dealer phone), with an optional detail mode for full specs, price history, seller Google reviews, equipment and images.

Minimal input:

{ "make": "RENAULT", "model": "CLIO", "scrapeDetailPages": false, "maxItems": 25 }

Instead of make/model, pass startUrls with a listing URL (https://www.lacentrale.fr/listing?makesModelsCommercialNames=RENAULT) or a direct classified URL (.../auto-occasion-annonce-<id>.html); when startUrls is set the filter fields are ignored. Other filters: energies, categories, gearbox, regions (department codes), priceMin/priceMax, yearMin/yearMax, mileageMin/mileageMax, sortPreset, onlyWithPhotos, maxConcurrency, proxy.

Output: one dataset row per car — classifiedId, url, reference, make, model, version, year, mileage, price, gearbox, energy, externalColor, goodDealBadge, customerType, sellerName, phone, departmentCode, picturesCount, photoUrl, firstOnlineDate. Detail mode (scrapeDetailPages: true) adds title, description, autovizaReportUrl, priceInitial, priceCurrent, priceHistory, isPriceDropping, refinedQuotation, reliabilityIndex, firstHand, powerDin, fiscalHorsePower, co2Combined, critairLevel, consumptionCity, seatingCapacity, constructorWarrantyMonths, equipments, sellerType, sellerCity, sellerLatitude, sellerLongitude, sellerRating, sellerReviewCount, sellerReviewsUrl, sellerReviews, images.

Behaviors an agent should know:

• Always set maxItems (default 1000); an uncapped make/model search paginates across every result page.
• startUrls overrides all structured filters; a pasted URL's own sortBy is honoured over sortPreset.
• Card mode (default) reads ~24 fully-structured cars per page fetch; detail mode fetches one page per car — deeper but slower and more costly.
• Detail-only fields (specs, price history, seller reviews, equipment, images) are null/empty in card-mode rows by design; some dealers have no linked Google reviews.
• DataDome protection and challenge-solving are handled inside the actor. On a paid Apify plan the French residential proxy is included too; on the free plan the caller must pass proxy with a French residential configuration, or the run stops immediately with an explanatory error.
• Pay-per-event billing — see the Pricing tab on the actor page.

⚠️ Disclaimer

This actor extracts publicly available data from lacentrale.fr for legitimate purposes such as market research, price analysis, and lead generation. You are responsible for how you use the scraped data. Comply with La Centrale's Terms of Service, applicable data-protection law (including the GDPR when handling personal data such as seller contact details), and all local regulations. Do not use collected personal data for unsolicited marketing where prohibited. This tool is not affiliated with, endorsed by, or connected to La Centrale / Car & Boat Services.

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