Web and online data

Web and online data is collected from the public internet and the digital economy: structured datasets extracted from websites, traffic and engagement estimates for domains, mobile app downloads and revenue, search interest, news coverage and domain registration records. Marketers, investors, product teams, sales teams, AI developers and security analysts use it to monitor competitors, find prospects, measure demand and feed models.

What the sub-categories cover

• Web-scraped datasets: structured data extracted from public websites, such as product listings, job ads or company pages.
• Website traffic data: estimated visits, engagement and traffic sources by domain.
• Mobile app data: downloads, revenue estimates, usage and store rankings.
• Search trends data: keyword volumes and search interest over time.
• News and media data: articles, sources and extracted entities.
• Domain and DNS data: registrations, registration history and DNS records.

How to choose

Many web datasets are estimates rather than measurements. Traffic and app figures are modelled from panels and other signals, and search volumes are approximations. Good providers explain their methods and indicate confidence. For scraped and news data, the key questions are about collection practices and the rights attached to the content.

Delivery and pricing

Data comes through APIs, data shares and bulk files. Pricing ranges from per-call API plans to annual licences priced by domains, apps, sources or history.

Before you buy

• Ask whether figures are measured or modelled, and how.
• Check that collection respects website terms and never bypasses logins.
• Confirm your rights to use, store and redistribute content.
• Test coverage on entities you already know well.