Is Your Site Being Scraped? Signs to Look For and What to Do

Scraping rarely announces itself. There’s no alert that says “someone is copying your catalog”. Instead it shows up indirectly: a bill that grew faster than your business, analytics that stopped making sense, or your content appearing somewhere it shouldn’t.

This article covers the signs to look for, how to confirm that automation is behind them, and what to do once you know.

Signs in your business data

Start with things you already watch:

• Your content shows up elsewhere. Articles republished on other sites, product descriptions copied word for word, your listings mirrored on an aggregator. Search for unusual sentences from your pages in quotes.
• Competitors react suspiciously fast. If a competitor matches your price changes within minutes, every time, they’re probably not checking by hand.
• Inventory or availability behaves strangely. Carts filled and abandoned in bulk, limited items held then released, or booking slots that disappear and come back.
• Sign-ups and logins look wrong. Waves of new accounts that never do anything, or spikes in failed logins. That’s a related kind of automation, often credential stuffing.

Signs in your analytics

• Traffic grows, conversions don’t. More sessions with no matching change in sign-ups, sales or engagement.
• Odd sessions. Many single-page visits with no interaction, at hours when your real audience is asleep, from places you don’t serve.
• Strange page popularity. Deep pagination, old archive pages or every product variant getting traffic that real visitors never generate.

Many bots never run your analytics script, so client-side analytics usually undercount automation. If the analytics look odd, the server logs usually look worse.

Signs in your infrastructure

• Bandwidth and compute growing faster than users. Egress, CPU and database load rising without a matching rise in real activity. What bot traffic costs your origin explains how to put a number on it.
• Cache hit ratio dropping. Crawlers request everything, including pages nobody else visits, and some add random query strings to bypass caches.
• Bursts of 404s. Requests for /wp-login.php, /.env or /phpmyadmin/ on a site that has none of them are vulnerability scanners looking for an easy way in.
• Load spikes with no marketing event behind them.

Confirming it

A few quick checks in your server or CDN logs will usually confirm what the symptoms suggest:

1. Group requests by user agent. Look for self-declared tools (curl, python-requests, Go-http-client, headless browser names) and unfamiliar crawlers.
2. Check the “search engines”. Requests claiming to be Googlebot or Bingbot are easy to verify, and in many logs a large share turn out to be fake. See how to verify Googlebot.
3. Look at where traffic comes from. A lot of traffic from hosting providers and cloud networks, rather than consumer ISPs, often means automation.
4. Look at what’s requested. Systematic walks through every page, ID or search result look very different from how people browse.
5. Check AI crawlers separately. They usually identify themselves, and they need a policy, not detection. See AI crawlers explained.

What to do next

Once you know you have a problem, work from the cheapest measures to the strongest:

• Allow the bots you want. Verify search engines and other useful crawlers, and make sure nothing you do next blocks them.
• Publish a clear robots.txt. It won’t stop bad actors, but it settles the question for honest crawlers.
• Rate-limit expensive endpoints. Search, filtering, pagination and APIs are where scraping costs you most. Per-client limits there hurt scrapers far more than people.
• Make bulk extraction harder. Cap page sizes and pagination depth, require authentication for data-heavy APIs, and avoid exposing sequential IDs where you don’t need to.
• Block at the edge, precisely. Stop confirmed bad clients before they reach your origin, by identifying the client rather than its IP address. Why IP blocking fails explains why the IP is the wrong thing to block on.
• Use legal tools where they fit. Terms of service, copyright takedown requests for republished content, and contacting hosting providers about abusive clients.
• Keep watching. Scrapers adapt. Review the same signs regularly, not just once.

Key takeaways

• Scraping shows up indirectly: copied content, odd analytics, rising bills, falling cache hit rates and bursts of 404s.
• Client-side analytics undercount bots. Confirm with server or CDN logs.
• Check user agents, verify anything claiming to be a search engine, and look at where traffic comes from and what it requests.
• Respond in layers: allow good bots, rate-limit expensive endpoints, limit bulk extraction, block precisely at the edge, and use legal tools where they apply.