Bot and Scraping Protection

What's included in the service

We place a shield at the entrance to your site that filters out automated data scrapers and malicious bots while letting real users and search engines through. The work covers analysis of your current bot traffic, installation of a protective layer in front of the site, configuring whitelists for search engines with verification of their authenticity, protecting your catalog and prices from mass scraping, and rate-limiting requests. Separately, we close off the scenarios where competitors or AI crawlers siphon off all your content, creating load and stealing your material. We don't block everyone indiscriminately and don't put a CAPTCHA on every page — the goal is for a human and the Yandex bot to pass unnoticed, while a scraper with no browser fingerprint hits a wall. As a result, the site stops feeding third-party scrapers and is relieved of parasitic traffic.

How it actually works

The shield sits in front of the site as a reverse proxy and evaluates each request by a combination of signals: browser headers, compression support, connection behavior, sender address. A real browser carries dozens of characteristic signals and passes transparently; a primitive scraper without them gets a computational challenge that a browser solves in a fraction of a second, but that a mass scraper finds uneconomical to solve — across thousands of requests it eats up its resources. Declared search engines are verified not by a name, which is easy to fake, but by reverse DNS and address ranges, so pretending to be a Google bot won't work. The model is weighted: known malicious networks are blocked hard, well-behaved crawlers are let through, and anything questionable is sent to the challenge. This approach cuts off automation without getting in the way of humans and legitimate indexing.

Where protection from robots came from

The first mechanism for managing robots was the robots.txt file: the standard was proposed by Martijn Koster in February 1994, and it still regulates crawler access to this day, but it rests only on voluntary compliance. The economic principle of paying for access was introduced by cryptographer Adam Back: in 1997 he proposed Hashcash — a proof of work requiring computational cost for each action, in order to make spam and automated abuse uneconomical. Telling a human from a machine was helped by CAPTCHA tests: the term itself was coined in 2003 by Luis von Ahn, Manuel Blum, Nicholas Hopper, and John Langford, and the reCAPTCHA service was deployed on May 25, 2007. Modern shields combine these ideas: voluntary robots.txt for the honest, proof of work against automation, and signal verification instead of an intrusive CAPTCHA. It is precisely along this lineage — from robots.txt to proof of work — that today's anti-scraping protection is built.

Why precise configuration is critical

The cost of a mistake in bot protection runs both ways. Rules that are too lenient let scrapers through, and the site keeps feeding third-party collectors and losing content; rules that are too strict block the Yandex bot or a live visitor, and you lose search rankings and real customers. That's why the core of this service isn't installing an off-the-shelf module but fine calibration: whom to let through by whitelist, whom to test with a challenge, whom to block outright. Verifying search engines by address and reverse DNS is critical, because a bot's name in the header is faked with a single line, and a naive filter is easily deceived. We tune the shield to your real traffic and watch webmaster reports so you don't accidentally drop out of the index — protection must not harm the site's visibility.

What stack we work with

The foundation is a protective layer based on proof of work, which sits in front of the site as a reverse proxy and issues a computational challenge to suspicious clients while letting real browsers through without friction. We deploy it in a container alongside your web server, and we keep the rule configuration separate and under version control. Search-engine whitelists are built on verification of reverse DNS and official address ranges, so as to cut off impersonators of Google, Bing, and Yandex. On top of this we set up request rate-limiting and, when needed, a caching and filtering layer on the Cloudflare side. The stack is open and configurable: the rules are transparent, visible, and changeable — not reliant on the closed black box of a third-party service.

When the key tools appeared

The tools for protecting against automation have taken shape over three decades. The robots.txt file appeared in February 1994 as the first way to manage crawlers. The Hashcash proof of work was proposed by Adam Back in 1997, establishing the principle of paying with computation for each action. The term CAPTCHA was coined in 2003, and the reCAPTCHA service was deployed on May 25, 2007. But the mass need for such shields grew sharply in 2023–2024, when AI crawlers began siphoning off sites on an industrial scale to train models, creating load and taking content without asking. We apply modern proof-of-work shields designed precisely for this new wave of scrapers, rather than an outdated CAPTCHA that bots learned to bypass long ago.

Why you can trust this to us

Our team's combined IT experience exceeds 45 years, and we set up bot protection not by the book but from our own practice: such a shield already runs on our production sites and cuts off AI scrapers while letting search engines and people through. We approach the task as engineers: first we look at the real bot traffic, then we tune the weighted model and whitelists, then we watch webmaster reports so as not to hurt indexing. The shield's rules are transparent and version-controlled, so you can see whom it lets through or blocks and why, rather than trusting a black box. We'll honestly tell you where protection is genuinely needed and where it's excessive and would only make life harder for visitors. As a result, the site stops feeding third-party scrapers and is relieved of load, while live traffic and search rankings don't suffer.