Case Study: Datalex eliminates advanced web scrapers and cuts bot-driven page requests 20-30% with Imperva Bot Management

Datalex Integrates Imperva with F5 to Protect Airline Websites From Advanced Persistent Bots

Datalex, an Ireland-based provider of a unified digital commerce platform used by major airlines worldwide, was facing aggressive web scraping and bot attacks that stole content, eroded SEO and upsell opportunities, drove up Global Distribution System (GDS) API costs, and threatened site performance and availability. Their existing F5-based anti-bot controls were packet/IP-centric and unable to reliably distinguish sophisticated, distributed scrapers from legitimate traffic.

By adding Imperva Bot Management alongside F5, Datalex gained device fingerprinting, behavioral modeling, automated JavaScript/browser validation, and granular tuning that quickly blocked persistent scrapers while allowing whitelisted bots. The solution was simple to deploy, reduced admin overhead, and markedly improved stability and costs—eliminating unwanted airfare scraping, cutting page requests by 20–30% on average (over 50% for the first customer), increasing availability, and lowering backend and support expenses.

Datalex

Eric Chapin

Security Administrator