To protect an online store from scraper and bot traffic, first identify which pages or actions are being abused, then apply narrow rate limits and bot controls to those endpoints. Monitor the results before blocking traffic. Not every automated visitor is harmful: search crawlers, uptime monitors, accessibility tools, integrations, and app clients may all be legitimate.
Identify what the bots are doing
Scraping product pages is only one form of abusive automation. Other threats include credential stuffing, fake account creation, inventory hoarding, automated purchases, card testing, gift-card enumeration, and activity that distorts business metrics. The right defense depends on the endpoint and the business risk. OWASP’s Bot Management and Anti-Automation Cheat Sheet maps common endpoint types to different risks and controls.
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- Catalog, search, and price pages: investigate unusually frequent product or price lookups that may indicate harvesting.
- Login and account creation: look for repeated login attempts or bursts of new accounts that could signal credential stuffing or fake-account activity.
- Cart and checkout: check for automated stock reservation or purchasing patterns.
- Public APIs: identify which operations are being called, by whom, and at what rate; API traffic may have different legitimate usage patterns from page views.
Use traffic analytics and request logs to find the paths, operations, and patterns involved before choosing a control. A site-wide request count alone may hide the difference between a burst of harmless page loads and repeated calls to a sensitive operation.
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Keep legitimate automated visitors working
Build an inventory of expected crawlers, uptime monitors, accessibility tools, integrations, and mobile or in-app clients. Where your platform supports it, verify claimed crawler identities rather than trusting a user-agent label alone. Give known operational traffic explicit exceptions or tailored limits, and check those exceptions periodically.
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OWASP describes the goal as raising the cost of abusive automation while keeping legitimate users and bots unaffected. A blanket block on automated requests can interfere with search discovery, monitoring, or customer access. Cloudflare also recommends reviewing bot analytics and requested paths before applying controls in its guide to stopping malicious bots while allowing legitimate traffic.
Rate-limit high-risk operations, not the whole store indiscriminately
Set limits around meaningful actions such as repeated price lookups, catalog queries, login attempts, or account creation. Choose the identity and signals used by each rule to fit the operation and your application; a single IP address may not be a reliable identity for every customer or integration.
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Cloudflare’s rate-limiting best practices include ecommerce examples for repeated price lookups, with challenge or block actions, as well as a session-cookie pattern for JSON-body lookups. These are configuration examples, not universal safe thresholds. Derive limits from your store’s legitimate traffic and operational tolerance, and test how a rule behaves before making it broadly enforceable.
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A web application firewall (WAF) or bot-management service can classify automated traffic and support monitoring, rate limiting, challenges, or blocking. The level of detection and control varies by product and plan.
AWS WAF Bot Control
AWS distinguishes its common detection level, which focuses on bots that identify themselves, from targeted protection for bots that disguise their identity. AWS describes targeted techniques including browser interrogation, fingerprinting, behavioral heuristics, and machine-learning analysis. Its Bot Control rule group documentation and configuration guidance discuss use cases such as evasive scraping, residential proxies, headless browsers, and automated purchasing.
Cloudflare bot products
Cloudflare’s bot-solutions overview describes Bot Fight Mode, Super Bot Fight Mode, and Enterprise Bot Management, with differences in customization, per-request scoring, endpoint handling, and analytics. The overview identifies ecommerce as a use case for the more granular Enterprise product. Features depend on the current plan, so check the vendor’s documentation for the product and account you are considering.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Roll out controls in observation mode first
- Review existing traffic: inspect bot analytics, security events, labels, or request logs for the affected paths and operations.
- Start without blocking: in AWS WAF Bot Control, count mode labels matching traffic but does not block it. AWS recommends reviewing what the system detects and checking for legitimate traffic that may be misclassified.
- Tune exceptions and scope: refine rules for verified crawlers, health checks, integrations, and other expected clients; narrow rules to the endpoints or actions that need protection.
- Enforce cautiously: move to challenges or blocking only after the observed results give you confidence that the rule is separating abusive activity from legitimate requests.
A challenge can interrupt a real shopper when applied too broadly. After deploying a change, watch for conversion changes, support complaints, crawler access problems, and reports of false positives. AWS advises scoping Bot Control carefully and considering rule order because costs depend on the number of evaluated web requests.
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Compare bot-control options against your store
| What to compare | Questions to ask |
|---|---|
| Detection scope | Does the service identify only self-identifying bots, or can it also detect bots concealing their identity and using browser automation? See AWS Bot Control and its use-case guidance. |
| Control granularity | Can policies differ by endpoint, operation, bot category, or confidence level? Compare the Cloudflare bot-solutions overview with its rate-limiting examples. |
| Legitimate-bot handling | Can you allow verified search crawlers and health checks, or give known services separate limits? Review AWS’s Bot Control guidance and Cloudflare’s legitimate-traffic guidance. |
| Deployment fit | Will the controls work with your store’s CDN, WAF, API gateway, hosting platform, and client integrations? AWS’s configuration guidance addresses integration and use-case considerations. |
| Monitoring and tuning | Are logs, analytics, count or monitor modes, and a way to investigate false positives available? See AWS’s Bot Control guidance and Cloudflare’s bot-traffic guidance. |
| Cost | Does pricing depend on evaluated request volume, protection level, or plan? AWS says Bot Control has additional fees and that costs depend on evaluated request volume; confirm current terms with the vendor. See AWS Bot Control and its use-case guidance. |
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
