Jobs
Salary and employer review scraping
What a role pays, and what people think of the employer, are not in the job ad. That data is self-reported, noisy and valuable — provided you aggregate it, and never tie it back to a person.
Data we extract
- Salary band by role and seniority
- Overall employer rating
- Ratings by theme: atmosphere, management, balance
- Public verbatims and their dates
- Review volume and posting rhythm
- How the rating moves over time
Example use cases
- Pay study ahead of a hiring campaign
- Employer reputation monitoring
- Comparing appeal against competitors
- Feeding a salary calculator
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
Job postings
Hiring
The same role appears on several sites under three different titles, then vanishes without notice.
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.
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: Job listing scraping
Need data of this kind?
Tell us about your project: sources, fields, volume and frequency. We'll come back with a clear proposal.