G2

Lyuboslav M.

Chief Software Architect

Small-Business (50 or fewer emp.)

9/8/2026

"Detailed Bot Signals That Cut Scraper Traffic Fast"

5/5

What do you like best about Fingerprint?

We're a news site and we get scraped a lot. That was the whole reason we went looking – not fraud, not account takeover, just bots hammering our content around the clock. We looked at Cloudflare's bot stuff first (we already use them for CDN) but at the time it just wasn't detailed enough for what we needed. Fingerprint gives you the actual breakdown - VPN, residential proxy, VM, dev tools open, tampering - as separate signals instead of one score you have to trust blindly. For us that's the main thing. You can see what is hitting you and write rules against exactly that. To give an idea of scale: over the last three months it flagged roughly 480K requests on VPN, 380K coming from VMs and 540K with tampering, and 148K classified outright as bad bots. In August we had a wave that pushed VPN traffic to about 2.5x the previous month, and instead of guessing what it was we could just look. At one point Meta's web indexer showed up in the browser list by name, which I didn't expect. Integration was easy with React on the frontend and Django at the backend. Support I honestly haven't needed. They email us when usage spikes, usually before we've noticed. Review collected by and hosted on G2.com.

What do you dislike about Fingerprint?

Price. The model makes sense on paper, but when what you're paying for is bot traffic, the better the bots get at hammering you the bigger your bill gets. Our usage went up 65% in the last month and a big chunk of that wasn't real readers. It's still worth it for us – we've been on it a couple of years and I haven't heard any real complaints beyond this one. But paying full rate for requests Fingerprint itself flags as bad bots does feel a bit odd. Review collected by and hosted on G2.com.

What problems is Fingerprint solving and how is that benefiting you?

The problem is simple: we publish news, and bots want it without paying for it. Before Fingerprint we knew we were being scraped but mostly from the symptoms – traffic patterns that didn't look like readers, load that didn't match real audience. What we didn't have was a way to tell, per request, whether the thing on the other end was a person on a phone or a headless browser in a VM behind a VPN. Now we do. Each request comes back with the specific signals – VPN, residential proxy, VM, tampering, dev tools, bad bot – so the team has something concrete to act on instead of a hunch, and the dashboard makes it easy to open it up and see what's going on without digging through logs. It also sits in a different layer from Cloudflare, which covers the network/CDN side, so the two complement each other rather than overlap. The benefit for us is mostly that the scraping problem stopped being a black box. It's been running for a couple of years, the team doesn't have to think about it day to day, and when a wave comes in – like the one in August – we can see exactly what it is instead of guessing Review collected by and hosted on G2.com.