La Centrale Vehicle Listings Scraper

La Centrale Vehicle Listings Scraper turns public used-vehicle result pages into a structured table for market analysis. Each row keeps a vehicle's make and model, variant details, model year, transmission, mileage, fuel type, displayed price, seller information, and detail-page link together.

This makes it easier to compare a set of French used-car listings without manually copying information from individual ads. Pricing, specification, location, and seller signals remain connected to the source listing, so analysts can filter the market while retaining a direct route back to each vehicle page.

Data notes

Records come from vehicle listings publicly visible on the submitted La Centrale result pages at collection time. The input page address is retained for provenance, while the listing address identifies the individual vehicle ad. Price and mileage values preserve the site's displayed text, including the euro symbol and mileage unit when present; they are not converted into normalized numeric values. Seller location can be a French department code rather than a full city name, and the listing label can contain a source status such as “NOT_COMPUTED” rather than a consumer-facing rating. A blank seller phone, label, or other optional value means that the public listing did not provide that field. Removed, private, signed-in-only, or otherwise inaccessible listings are not covered.

What results look like

Each record represents one vehicle listing found on a submitted result page:

Other available columns include “Vehicle details,” “Transmission,” “Fuel type,” “Listing label,” “Seller location,” “Seller phone,” and “Input URL.”

Use cases

• For price benchmarking, compare “Listed price,” “Model year,” and “Mileage” within similar “Vehicle title” and “Vehicle details” groups to see how listings are positioned.
• For inventory segmentation, group “Vehicle title,” “Transmission,” and “Fuel type” to understand which configurations appear in the visible market.
• For dealer coverage analysis, compare “Seller name” and “Seller location,” then retain “Listing URL” for reviewing individual offers.
• For lead-list preparation, combine “Seller name,” “Seller phone,” and “Listing URL” to identify listings with publicly displayed contact information.