Case Study: Investing.com blocks data scraping bots at scale with Fastly Next-Gen WAF

Investing.com Blocks Data Scraping Bots at Scale

Investing.com, a top global financial portal, faced a significant challenge from malicious bots that were scraping the valuable market data it purchases, with 30–40 million such requests occurring each week. To protect its data and meet GDPR requirements, the company needed a solution to accurately detect and block this activity at scale without impacting its high-performance application. They turned to the Fastly Next-Gen WAF from Signal Sciences for a solution.

The solution from Fastly Next-Gen WAF was deployed on-premise using agents, utilizing Power Rules to target bots and scrapers. Signal Sciences immediately blocked over 40 million malicious requests in the first week without a single false positive. This provided Investing.com with critical visibility into attack patterns and automated the blocking process, allowing their teams to spend less time on manual mitigation while ensuring full application performance and future-proof security.

Investing.com

Gabriel Mizrahi

Chief Technology Officer