Local data
Business and point-of-interest scraping
A business record looks simple until you want ten thousand of them, current, free of duplicates and geocoded. The difficulty is not the page: it is covering the territory and reconciling records across sources.
Data we extract
- Legal name and trading name
- Postal address and GPS coordinates
- Activity category
- Opening hours and exceptional closures
- Phone and website where they are public
- Average rating and review count
- Photos and declared facilities
Example use cases
- Building a local prospecting database
- Site selection and catchment area study
- Enriching a customer file with geocoding
- Tracking openings and closures
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
Customer reviews
Reviews
An average rating tells you nothing: what informs is its slope, and what the texts behind it say.
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.
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.
All kinds in the same sector: Local data scraping
Need data of this kind?
Tell us about your project: sources, fields, volume and frequency. We'll come back with a clear proposal.