Ilgus – Large-Scale Article Scraping for AI Training

Ilgus is a smart data-collection system designed to gather 9.1 million articles from article-based websites. The goal? To train AI models with accurate, real-world data while tackling common scraping hurdles like server blocks and website restrictions.

How it works:

• Multi-Server Setup: Uses multiple servers to mimic real users, spreading requests across different IPs and locations. This avoids triggering anti-scraping alarms.
• Anti-Blocking Tricks: Rotates user agents, adds delays between requests, and handles CAPTCHAs to keep the scraping under the radar.
• Clean & Secure Storage: All scraped articles are stored in secure databases, organized by topic and date. This ensures the data stays reliable and ready for AI training.

Why it matters:

• Solved server overloads and IP bans by spreading the workload across servers.
• Scraped 9M+ articles with 99% accuracy, even from tricky websites that block bots.
• Built a massive, structured dataset to train AI models in understanding language patterns and trends.