About the company

A global e-commerce group owned by a Fortune 500 leader approached Rayobyte with a request to collect pricing data from more than 100 competitor websites, with total expected volume exceeding 10 million scrapes per day.

As part of the initial proof of concept (POC), the client selected a site protected by Akamai, one of the most advanced anti-bot systems on the web. The goal was to prove Rayobyte could access publicly available data at scale; ethically, efficiently, and without detection.

The challenge

The client’s internal scraping team had struggled to maintain consistent access to data on sites using Akamai’s layered protections and dynamic content rendering.

They needed a vendor who could:

• Bypass advanced anti-bot systems ethically and effectively
• Deliver redundancy and failover across multiple scraping methods
• Meet strict latency requirements (P90 under 8 seconds)
• Scale operations from hundreds of thousands to millions of daily scrapes

Our solution

Within 48 hours, Rayobyte’s engineering team developed and validated three independent access strategies capable of operating at scale without being detected.

Our hybrid approach combined:

• A custom stealth browser to obtain high-quality session cookies and improve access consistency
• App-based data extraction, using reverse-engineering expertise to collect publicly available data directly from the target website’s mobile app, which had fewer anti-bot restrictions than the web version
• Layered redundancy, ensuring that if one method encountered a block, others would seamlessly handle the load

This multi-pronged setup provided the client with an enterprise-ready, resilient scraping architecture, designed for continuous uptime and adaptive scaling.

All methods were built around ethical, publicly available data collection, with strict compliance at every stage.

The results

Rayobyte delivered tangible performance improvements on this project. After targeted optimizations, our system achieved a P90 response time of under eight seconds, meeting the client’s benchmark for production readiness.

The engagement validated that large-scale, Akamai-protected scraping could be achieved ethically, efficiently, and cost-effectively, without reliance on browser-based methods alone.

The impact

This project demonstrated Rayobyte’s technical agility, innovation, and enterprise focus.

The experience continues to strengthen how we support large-scale retail, finance, and AI clients — providing them with compliant, redundant, and high-performance data collection solutions.