Signal Sciences > Case Studies > Investing.com Employs Signal Sciences to Thwart Data Scraping Bots

Investing.com Employs Signal Sciences to Thwart Data Scraping Bots

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Technology Category
  • Analytics & Modeling - Robotic Process Automation (RPA)
  • Application Infrastructure & Middleware - Event-Driven Application
Applicable Industries
  • Electrical Grids
  • National Security & Defense
Use Cases
  • Chatbots
  • Edge Computing & Edge Intelligence
About The Customer
Investing.com is a leading global financial portal and internet brand that provides a wide range of financial information and tools. The company offers 30 editions in 22 languages and mobile apps for Android and iOS. Each edition covers a broad variety of local and global financial vehicles including stocks, bonds, commodities, currencies, interest rates, futures, and options. Investing.com is ranked 532 in Alexa Global Rank and is one of the top three financial portals in the world. The company operates on an advertising-supported business model, paying financial exchanges for financial markets data and content to publish to its user base.
The Challenge
Investing.com, a global financial portal and internet brand, was grappling with a significant challenge. The company, which provides news, analysis, streaming quotes, charts, technical data, and financial tools about the global financial markets, was facing a massive onslaught of data scraping bots. These malicious actors were deploying bots and scrapers to harvest the data that Investing.com pays financial exchanges to publish. The company was dealing with 30-40 million content scraper requests per week that they needed to stop. As an advertising-supported business, the theft of this data was not only a breach of security but also a significant financial drain.
The Solution
Investing.com turned to Signal Sciences for a solution. Signal Sciences provided an application and API defense solution, with agents installed on-premise in Investing.com's data center. They also utilized Signal Sciences Power Rules that detect and block bots and scrapers from harvesting content. Investing.com’s operations staff installed Signal Sciences agents on their highest traffic site web servers. Within the first week of putting these Power Rules in place, Signal Sciences blocked over 40 million bot requests without a single false positive. The solution also enabled Investing.com to meet European GDPR privacy requirements while protecting customer data. Signal Sciences' ability to deploy in any environment—on-premise, in the cloud, or hybrid environments—made the rollout easy and future-proof.
Operational Impact
  • The implementation of Signal Sciences' solution had a significant impact on Investing.com's operations. The company was able to block high volumes of bad-bot traffic, stopping the data scraping requests from reaching the application and stealing data. This not only protected the company's financial investment in the data but also ensured the integrity of the information provided to users. The solution also provided Investing.com with detailed insights into web requests in production, helping the company's DevOps and network operations teams understand how and when scrapers were attempting to steal data. This visibility also allowed them to uncover would-be attacker methods by analyzing granular details about the scraping requests.
Quantitative Benefit
  • Blocked over 40 million bot requests within the first week of implementation without a single false positive.
  • Stopped 30-40 million content scraper requests per week.
  • Deployed the solution in their highest traffic site web servers, ensuring maximum coverage.

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