E-commerce

Marketplace scraping

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. It is that movement you have to capture, not one moment's label.

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Data we extract

  • Product reference and variants
  • Price per seller and shipping cost
  • Seller selected by default for the basket
  • Availability and quoted lead time
  • Product rating and review count
  • Product rank within its category
  • Reconstructed price history

Example use cases

  • Price monitoring against resellers
  • Detecting sales outside the authorised network
  • Tracking competitive position
  • Automated repricing
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

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. 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. Vehicle listings Motoring A used car's price means nothing on its own: it hangs on the model year, the mileage, the trim and who is selling. Valuations and spec sheets Motoring A valuation and a listing say different things: one gives a reference value, the other an asking price. 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. Tourist accommodation Travel A nightly price does not exist outside a date.

All kinds in the same sector: E-commerce scraping

Need data of this kind?

Tell us about your project: sources, fields, volume and frequency. We'll come back with a clear proposal.

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