Automotive
Vehicle listing scraping
A used car's price means nothing on its own: it hangs on the model year, the mileage, the trim and who is selling. Collecting these listings rebuilds a real-world valuation from what the market actually asks.
Data we extract
- Make, model, version and trim
- Model year and mileage
- Fuel type, gearbox and tax rating
- Asking price and each successive cut
- Seller: private, dealer or broker
- Location and time on the market
- Service history where it is declared
Example use cases
- Real-world valuation by model and year
- Spotting trade-in opportunities
- Price monitoring across a competing fleet
- Feeding a valuation tool
Framework & ethics
We work with publicly accessible data, at a controlled pace so as not to disturb the sites we consult. Defining the uses is your responsibility, and we advise you on it.
Other kinds of site we collect
Valuations and spec sheets
Motoring
A valuation and a listing say different things: one gives a reference value, the other an asking price.
Property listings
Real estate
Listing portals publish tens of thousands of properties every day, and pull them just as fast.
Estate agency networks
Real estate
A network's own site does not publish what a portal publishes: it shows a portfolio, a fee scale, a web of branches and the negotiators who run them.
Job postings
Hiring
The same role appears on several sites under three different titles, then vanishes without notice.
Salaries and employer reviews
Hiring
What a role pays, and what people think of the employer, are not in the job ad.
Marketplaces
E-commerce
On a marketplace a product has no single price but as many prices as it has sellers, and the one that wins the basket changes during the day.
Retailer online stores
E-commerce
A retailer sells its own products, at its own price, with stock that differs from one store to the next.
Tourist accommodation
Travel
A nightly price does not exist outside a date.
All kinds in the same sector: Automotive scraping
Need data of this kind?
Tell us about your project: sources, fields, volume and frequency. We'll come back with a clear proposal.