Stop competitors from scraping
your prices and data
Scraper bots read your catalogue around the clock. They feed prices, stock and product ranges into competitor tools and repricing systems. ADPAL blocks unauthorised scraping at the perimeter, while verified search engines and approved crawlers stay allowed
.SCALE OF THE PROBLEM
A data problem, not a «big brand»
problem
A scraper does not need a famous target. Public catalogue pages are enough. Structured prices, stock and SKUs can be collected at machine speed, then reused elsewhere
53% of web traffic was automated
Automated activity generated more than half of web traffic in 2025
27% of bot attacks targeted APIs
Bots often bypass visible pages and go straight to structured endpoints
6.9B ecommerce requests studied
In the sample, 42.1% were bots. Of that bot traffic, 65.3% came from scrapers classified as bad bots
No break-in is required
The pages may be public. The abuse lies in the speed, scale and repeated extraction.
.SNIPPET DEFINITION
What is web scraping protection?
It is not the same as hiding your catalogue. Customers still browse normally. The protection decides which automated requests are useful, and which are taking data without permission. ADPAL blocks scrapers at the perimeter while search engines keep full access
Web scraping protection detects and controls automated tools that extract website data, including prices, stock, SKUs and product ranges. It blocks unauthorised scrapers while allowing verified search engines and approved services to access the pages they need.
Customers still browse normally. The protection controls automated access, not public shopping
.What it looks like
How it plays out in a small online store
You run a store with 1,200 products. On Monday morning, you reduce the price of a best-seller
by three euros.
By lunchtime, two competitors have matched it. One goes a euro lower.
You were not out-negotiated. A repricing bot read the change, passed it to an algorithm and
triggered an automatic response.
That is the quiet cost of scraping. Your pricing decisions become somebody else’s live input.
. Symptoms
Signs your site is being scraped
You will rarely see the scraper itself. You will see its side effects
Competitors react to price changes within hours
Catalogue traffic reaches unusually deep pagination and filters
Product requests rise, but carts and sales do not
Search, filter or product-data endpoints spike unexpectedly
CDN or server usage grows without revenue growth
Analytics becomes noisy and experiments stop making sense
Recognise two or more? It is worth checking
.Business impact
What scraping costs your business
There is no honest percentage that fits every retailer. The cost depends on your margin,
catalogue and market. It usually appears in four place
Margin pressure
Competitors can react faster. You may discount before a campaign produces useful sales data
Wasted infrastructure
Repeated catalogue, search and API requests consume CDN, origin and database resources
Polluted decisions
Non-human traffic distorts product interest, experiments, forecasts and marketing reports
Lost commercial advantage
Your price, availability and range strategy becomes input for another business.
Quick SMB cost check
Measure non-converting requests to product, search and data endpoints. Add the related hosting cost and staff time spent investigating anomalies
How scraping actually works
How scrapers get past ordinary
defences
Modern scrapers are built to look plausible. One request may appear normal. The
pattern becomes visible across the full journey
Real browser engines load JavaScript, cookies and product pages without a visible screen
Requests rotate through consumer-looking IP addresses. Simple blocklists expire quickly
Bots target search, filters, feeds, mobile routes and product APIs for cleaner data
Some bots claim to be Googlebot. Identity must be verified, not trusted by name
Scraping ≠ content theft
This page covers business data: prices, stock, SKUs and ranges. Bots copying text, images and descriptions for republication create a different SEO problem
. How ADPAL prevents it
How ADPAL stops scraping without blocking useful crawlers
The challenge is not blocking every bot. It is separating legitimate automation from unauthorised data extraction
ADPAL evaluates requests at the perimeter before the origin serves product pages, prices, stock data or structured API responses. It combines behaviour and browser characteristics, request sequence, network context and crawl patterns instead of relying on an IP address or user-agent name alone
This wider context helps identify headless browsers, rotating residential IP addresses, direct API requests and scrapers that deliberately imitate human browsing. A declared crawler name is treated as a claim, not proof of identity
ADPAL should complement robots.txt, API authentication, rate limits, access controls and commercial data-use policies. Those measures define permitted access; perimeter filtering helps enforce it against automation that ignores the rules
01
Observe how the visitor discovers and requests product data
02
Identify repeated extraction across pages, sessions and endpoints
03
Verify recognised search engines and approved business tools
04
Apply rules by crawler identity, path, request rate or business purpose
05
Allow, monitor, limit, challenge or block traffic according to policy
06
Review crawl outcomes and adjust protection as the catalogue changes
. DIY vs. perimeter
What you can try yourself — and
where it stops
Measure
Helps?
Where it stops
robots.txt
Limited
Cooperative crawlers may follow it. Unauthorised scrapers may ignore it
IP blocking
Temporary
Residential proxies and rotating networks replace blocked addresses
Rate limiting
Partly
Distributed scrapers stay below per-IP thresholds
Basic WAF rules
Partly
Useful for known patterns. Scraping often looks like valid business traffic
CAPTCHA on catalogue
Poor fit
Adds shopper friction and does not protect direct data endpoints
Prices behind login
Trade-off
Reduces public access, discovery and customer convenience
Behavioural perimeter filtering
Strong
Combines signals, verifies useful crawlers and stops automation before the origin.
Actionable first step — today
Export 24–72 hours of CDN or server logs. Filter product, category, search, filter and API URLs. Look for repeated paths, regular timing, high page depth and zero cart activity. Do not rely on GA4 alone: many scrapers never run analytics JavaScript
Built for small teams
Bot protection you can actually run
ADPAL gives small teams one place to manage scraping and other bad-bot activity.
You do not need a separate product for every threat
Point your DNS at the managed reverse proxy — live in hours, then a short monitoring period before enforcing. CMS-integrated deployment is available through hosting partners
.Proof
Seen on real product pages
-X%
scraper traffic
-X%
server load
Failed logins dropped within the first week — support tickets about locked accounts basically stopped
.Learn more
Go deeper on web scraping
Guide
How to stop web scraping: step by step
A practical guide to logs, crawler rules and protection layers
Guide
Data scraping, explained in plain English
What scrapers collect, why they do it and where business risk begins
Guide
How to block AI crawlers safely
Control AI data access without accidentally blocking search engines
.FAQ
Questions about web scraping
Can robots.txt stop web scraping?
No. robots.txt communicates crawl preferences to cooperative crawlers. It is not an access-control system. Use it for crawler guidance, not as your security boundary
How do I know whether my prices are being scraped?
Look for several signals together: rapid competitor reactions, repeated catalogue paths, high request volume without cart activity, rotating IPs and rising server or CDN use. Server logs are more reliable than analytics alone
Will Google still index my website?
ADPAL is designed to allow verified search-engine crawlers while blocking unauthorised automation. After deployment, test priority URLs in Google Search Console and Bing Webmaster Tools. Monitor crawl errors during rollout
Can I allow price-comparison or monitoring crawlers?
Yes. Approved services can be allowlisted, while unknown or unwanted crawlers remain blocked. This keeps useful partnerships without opening the full catalogue to everyone.
Is web scraping illegal?
There is no universal answer. It depends on the country, data, access method, website terms and purpose. EU database rights may restrict substantial or repeated extraction. Seek local legal advice when enforcement matters.
What is the difference between scraping and content theft?
This page covers data extraction: prices, stock, SKUs and ranges. Content theft copies text, images or descriptions for republication, creating different SEO and brand risks → /use-cases/content-theft-protection
Your data is your advantage.
Keep it that way
Every price you publish is intelligence — for you, or for the competitor
reading over your shoulder. Find out who is harvesting your store now
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