🕵️‍♂️ Case Study: Scalable Scraping System for Business Directories

Many industries rely on accurate, up-to-date business data — but collecting it at scale across multiple countries and platforms isn’t easy. We partnered with a client to build a powerful web scraping solution targeting top directories like YellowPages.com, YellowPages.ca, and similar platforms.

💡 The Challenge:

The client needed structured business data (e.g., name, phone, address, category) from multiple international directories. But these platforms often block automated scraping through rate limiting, IP bans, or bot detection tools like Cloudflare.

🛠 What We Built:

We designed and deployed a flexible scraping engine that:

⚙️ Utilized Scrapy, Playwright, and Selenium to navigate and extract complex, dynamic content

🛡️ Included proxy rotation, user-agent spoofing, and Cloudflare bypassing techniques for maximum uptime

🌍 Supported multi-country targeting and adaptable logic for different site structures

🔁 Integrated retry mechanisms, health monitoring, and alerting for resilient, long-term operation

📦 Delivered clean, structured business data ready for integration into CRMs, dashboards, or analytics tools

🧪 Technologies Used:

• Scrapy – For scalable crawling and efficient pipeline management

• Playwright/Selenium – For handling JavaScript-heavy or interactive pages

• Rotating Proxies + Custom Headers – For anti-bot evasion

• Cron-based job schedulers and lightweight monitoring scripts

✅ Why It Works:

This system enables reliable, repeatable scraping at scale — even across heavily protected platforms. Whether used for lead generation, market research, or competitive intelligence, it gives businesses the data they need to move fast and stay ahead.