E-commerce businesses depend on automated traffic for legitimate purposes - from search engine crawlers and monitoring tools to payment services and business partners. But malicious bots can use the same websites, APIs, login pages, and checkout flows to scrape prices, take over customer accounts, hoard inventory, commit fraud, and disrupt the buying experience.
Bot protection solutions and strategies for e-commerce help distinguish legitimate shoppers and approved automation from unwanted or malicious bots. Effective bot protection goes beyond simply blocking known IP addresses. It can analyze behavior and other request signals, identify sophisticated automation, and apply different responses based on the type and risk of the traffic.
For retailers, the goal isn't to block every bot. It's to manage automated traffic without adding unnecessary friction for real customers or interfering with beneficial bots.
Why do e-commerce businesses need bot protection?
E-commerce applications provide attackers with many valuable targets. Account login pages contain access to customer information and stored payment methods. Product pages contain competitive pricing and inventory data. Checkout systems facilitate valuable transactions. Limited inventory can be resold for profit. Promotions, gift cards, loyalty programs, and APIs can also be abused.
Automation allows attackers to target these resources at enormous scale. The following make e-commerce an attractive target for attackers:
Bots can imitate legitimate shoppers
A malicious request isn't always obviously malicious. A bot can browse products, add merchandise to a cart, create an account, or attempt to log in using the same application functions as a customer. Sophisticated bots can also rotate IP addresses and alter other characteristics to make simple blocking techniques less effective.
Automated attacks operate at scale
An attacker doesn't need to manually attempt thousands of logins or purchases. Automation can perform actions rapidly and distribute them across many clients. This makes defenses based solely on individual IP addresses or static request thresholds insufficient for many sophisticated attacks.
Bots can affect revenue
Malicious automation can interfere directly with transactions. Inventory-hoarding bots, for example, can make products appear unavailable to genuine customers even when the bot operator doesn't ultimately complete the purchase.
Account takeover can result in fraud and customer-support costs, while scraping can give competitors or resellers rapid access to pricing and product information.
Bot traffic consumes infrastructure
Every malicious request can consume CDN, application, API, database, search, or third-party resources. Even bots that don't successfully compromise an application can increase infrastructure costs and degrade performance for legitimate customers.
What types of bot threats do e-commerce sites face?
Bot attacks can target almost every stage of the online shopping journey.
1. Credential stuffing and account takeover
Credential stuffing uses stolen username-and-password combinations (often obtained from breaches of unrelated services) to attempt logins automatically. If customers reuse passwords, some attempts may succeed.
Successful account takeover can expose personal information, loyalty points, order histories, gift-card balances, and stored payment functionality.
2. Inventory hoarding
Bots can automatically add high-demand products to carts or otherwise reserve inventory. This can prevent legitimate customers from buying items even when the bot doesn't complete checkout.
Inventory hoarding is particularly problematic for limited releases, tickets, sneakers, electronics, collectibles, and other high-demand products.
3. Scalping bots
Scalping bots attempt to purchase desirable products faster than human customers can. The products may then be resold at substantially higher prices.
Beyond lost sales opportunities for genuine shoppers, scalping can damage customer trust and create negative experiences around launches.
4. Price and product scraping
Scraping bots systematically collect information like:
Prices
Product descriptions
Images
Inventory availability
Reviews
SKUs
Promotions
Some scraping is legitimate, including search-engine indexing and approved partners. Unwanted scraping, however, can provide competitors or unauthorized third parties with valuable business data while consuming infrastructure resources.
5. Carding and payment fraud
Attackers can use automated checkout attempts to determine whether stolen payment-card information is valid. Even unsuccessful transactions can generate payment-processing costs, fraud alerts, chargeback risk, and application load.
6. Fake account creation
Bots can create large numbers of accounts to abuse new-customer promotions, referral programs, coupons, loyalty benefits, or other incentives.
7. Gift card and loyalty fraud
Automated attacks can target gift-card balances, promotional codes, reward accounts, and loyalty points. Because these assets can have monetary value, they can become attractive targets for attackers.
8. Checkout abuse
Bots can repeatedly initiate transactions, manipulate shopping workflows, or automate actions that create operational or financial costs.
9. Application-layer DDoS attacks
Botnets can flood product pages, search functions, APIs, login services, or checkout systems with requests. Unlike purely volumetric attacks, application-layer DDoS traffic may resemble legitimate HTTP activity while consuming expensive backend resources.
10. Vulnerability scanning
Attackers can use automated tools to probe e-commerce applications and APIs for security weaknesses.Once a vulnerability is discovered, automation can also accelerate attempts to exploit it.
Why can't e-commerce businesses simply block all bots?
Because many bots are useful - and even essential. Search engine crawlers help products appear in search results. Monitoring services check application availability. Business partners may use automated tools to access approved resources. Payment, analytics, and other services may also generate automated traffic.
AI crawlers and agents add another category that businesses may want to allow, restrict, monitor, or monetize according to their own policies. Effective bot management therefore needs to distinguish between:
Human users - beneficial bots - acceptable automation - suspicious bots - malicious bots
A blanket "block bots" policy can interfere with legitimate business functions.
Why isn't IP blocking enough to stop e-commerce bots?
IP reputation remains a useful security signal, but sophisticated attackers can change where their requests originate. Bot operators may use residential proxies, cloud infrastructure, compromised devices, or large pools of IP addresses. A distributed attack can therefore appear to come from many unrelated clients. Blocking one IP at a time becomes a game of whack-a-mole.
More sophisticated bot protection can consider additional signals such as client behavior, request characteristics, browser information, known-bot identities, and patterns across multiple requests.
What solutions can protect e-commerce sites from bots?
Effective e-commerce bot protection usually combines several technologies.
Bot management
A dedicated bot-management service identifies automated traffic and determines how it should be handled. Depending on the platform, detection techniques can include behavioral analysis, browser or device signals, network characteristics, reputation information, known-bot identification, and machine learning. Policies can then allow, monitor, challenge, rate-limit, or block traffic.
Client-side detection
Sophisticated bots increasingly attempt to imitate browsers. Client-side signals can provide additional information about whether a request originated from an authentic browser environment and how the client behaves.
These signals can complement server-side detection rather than relying on any one characteristic.
Challenges
Suspicious clients can sometimes be challenged before receiving access to a protected resource. Challenges can help distinguish automated clients from legitimate users, although they should be used selectively. Excessive challenges or CAPTCHAs can create friction and hurt conversion rates.
Rate limiting
Rate limiting can control how frequently clients perform sensitive operations. E-commerce businesses can apply specialized limits to endpoints including:
/login
/search
/cart
/checkout
Password-reset APIs
Gift-card services
Promotional endpoints
Rules should reflect the expected behavior of each function rather than applying one universal threshold across the entire site.
Web application firewall
A WAF helps protect applications and APIs against malicious requests and vulnerability exploitation. Bot management and WAF protection solve different but complementary problems. A bot might send technically valid requests for abusive purposes, while a human attacker could send a request designed to exploit an application vulnerability.
DDoS protection
Botnets can be used to make an ecommerce application unavailable. DDoS protection can mitigate network- and application-layer attacks before they overwhelm application infrastructure.
Strong authentication
Multi-factor authentication, secure password-reset processes, breached-password protections, and appropriate session controls can reduce the impact of credential attacks. Bot protection should complement these controls rather than replace them.
Application-specific business rules
Retailers understand their normal transactions better than a generic security system does. Controls can be designed around abnormal purchasing velocity, excessive cart additions, repeated promotion use, unusual account creation, or other application-specific indicators.
What are e-commerce bot protection best practices?
Protect the entire customer journey
Don't focus exclusively on login pages. Bots can target product search, account creation, carts, inventory checks, promotions, gift cards, checkout, and APIs. Identify the workflows most valuable to attackers and protect them accordingly.
Use multiple detection signals
Avoid relying entirely on IP addresses, user-agent strings, or simple rate thresholds. Sophisticated bots can manipulate individual characteristics. Combining multiple signals makes evasion more difficult.
Apply different responses based on risk
Blocking doesn't need to be the default response to every suspicious request. Organizations may choose to allow known bots, monitor uncertain traffic, rate-limit abusive clients, challenge suspicious requests, and block clearly malicious automation.
Minimize customer friction
Security controls affect conversion when they interrupt legitimate shoppers. Use challenges selectively and monitor false positives. The objective is to increase friction for attackers without unnecessarily increasing friction for customers.
Protect APIs
Modern ecommerce storefronts frequently depend on APIs that mobile applications and browser frontends call directly. Attackers can call those APIs too. Bot protection should therefore cover APIs and backend application services rather than only visible web pages.
Monitor important business metrics
Security metrics alone don't tell the whole story. Look at indicators such as failed logins, cart abandonment, inventory reservations, checkout failures, promotion usage, account creation, and payment declines alongside bot-security telemetry.
Changes in these metrics can reveal automated abuse that isn't obvious from traffic volume alone.
Prepare for high-demand events
Product launches, holiday sales, ticket releases, and major promotions can create both legitimate traffic spikes and increased bot activity. Test security controls before these events and make sure legitimate demand won't be mistaken for an attack.
How can bot protection help prevent account takeover?
Bot management can identify automated login attempts and other suspicious activity before attackers successfully authenticate. It can be combined with rate limiting, breached-credential detection, multi-factor authentication, strong password policies, and account-level monitoring.
This layered approach matters because credential stuffing attacks may distribute login attempts across many IP addresses. A simple rule such as "five attempts per IP" may not detect an attack involving thousands of clients making only a few attempts each.
How can bot protection help with inventory hoarding and scalping?
Bot management can identify automation attempting to interact with high-demand products, carts, or checkout processes. Retailers can then apply controls like rate limits, challenges, blocks, or application-specific purchasing rules.
Protecting multiple stages of the purchasing process is important. Blocking bots only at checkout may still allow them to reserve inventory or consume application resources earlier in the customer journey.
How can bot protection reduce scraping?
Bot-management systems can identify automated clients collecting product or pricing information and enforce policies based on the organization's preferences.The appropriate response isn't always blocking: A retailer might allow search engines, permit specific partners, rate-limit unknown crawlers, and block aggressive commercial scrapers.
This makes bot management a more useful concept than simply bot blocking.
What should businesses look for in an e-commerce bot protection service?
Important capabilities include:
Real-time bot detection
Behavioral analysis
Known-bot identification
Client-side detection
API protection
Flexible allow, block, rate-limit, and challenge actions
Low customer friction
False-positive management
Visibility into bot activity
Integration with WAF and DDoS protection
Edge-based mitigation
Ability to handle large traffic spikes
Support for AI crawler and agent policies
Organizations should evaluate bot protection using their own traffic because the mix of customers, beneficial bots, malicious automation, and business workflows varies considerably between retailers.
What Fastly offerings can help with e-commerce bot protection?
Fastly provides several complementary capabilities that can help e-commerce businesses defend against automated threats while protecting application performance.
Fastly Bot Management
Fastly Bot Management is designed to detect and manage automated traffic at the edge. Fastly's solution provides pre-cache bot detection, allowing businesses to inspect requests before cache lookup. It can also work with Fastly Next-Gen WAF for post-cache inspection of requests headed to origin infrastructure. This provides flexibility for protecting both cached and dynamic ecommerce experiences.
Fastly Bot Management includes mechanisms for identifying known bots and AI bots, along with advanced client-side detection designed to identify sophisticated automation. This allows retailers to build policies for different categories of traffic rather than treating every automated client the same way.
Client Challenges
Fastly supports client challenges that can help verify suspicious clients without automatically presenting every shopper with a traditional CAPTCHA. Challenges can add friction for automated attackers while allowing legitimate customers to continue their sessions.
For e-commerce applications, minimizing unnecessary customer friction is particularly important because additional steps during browsing or checkout can affect conversion.
Fastly Next-Gen WAF
Bots aren't the only threat facing ecommerce applications. Fastly Next-Gen WAF protects web applications and APIs from attacks like SQL injection, cross-site scripting, command injection, and other application-layer threats.
Combining WAF and bot-management capabilities can help protect retailers against both automated business abuse and attempts to exploit application vulnerabilities.
Fastly DDoS Protection
Botnets can also be used to overwhelm storefronts and APIs. Fastly DDoS Protection helps detect and mitigate malicious traffic at the edge before it can overwhelm origin infrastructure.
This can be particularly important during major retail events, when security systems need to distinguish malicious attacks from genuine traffic surges.
Rate limiting
Fastly's rate-limiting capabilities can help retailers protect high-risk endpoints such as authentication, search, carts, APIs, and other resource-intensive functions. Rate limits can complement bot detection by reducing the amount of application resources an abusive client can consume.
CDN caching and edge delivery
Fastly's CDN can serve eligible ecommerce content from cache rather than repeatedly requesting it from application origins. Caching doesn't replace bot protection, but it can improve resilience by reducing backend demand and limiting the resources consumed by requests for cacheable content.
Fastly's rapid cache-purging capabilities also allow retailers to update cached information quickly when products, promotions, or other content changes.
How can Fastly help protect an e-commerce business from bots?
E-commerce bot protection requires balancing two objectives: stopping malicious automation and keeping the buying experience fast and frictionless for legitimate customers.
Fastly brings together Bot Management, Next-Gen WAF, DDoS Protection, rate limiting, CDN delivery, and real-time security visibility on its edge cloud platform.
This layered approach can help retailers:
Identify malicious and unwanted automated traffic
Protect login and account workflows from automated attacks
Reduce scraping and automated application abuse
Protect high-demand product launches
Defend web applications and APIs
Mitigate botnet-driven DDoS attacks
Apply controls before malicious requests reach origin infrastructure
Distinguish beneficial bots from unwanted automation
Manage emerging AI crawler traffic
Reduce unnecessary infrastructure consumption
Preserve fast experiences for legitimate shoppers
The objective of e-commerce bot protection isn't simply to maximize the number of blocked requests. A more useful measure is whether the business can protect customer accounts, inventory, data, infrastructure, and transactions while allowing legitimate customers to shop without unnecessary friction.
Fastly's edge-based bot management and application-security capabilities provide retailers with multiple layers for achieving that balance.