Developed a high-performance web scraping solution to extract 1,800,000 records from a website protected by a multi-layer CAPTCHA system. The project demanded a sophisticated approach to bypass security mechanisms while ensuring speed, accuracy, and data integrity.

The target website implemented multiple CAPTCHA layers, including:

✅ Solution: Engineered an automation pipeline integrating advanced solving techniques, including:

Leveraging OCR-based models for rapid decoding.

Automating JavaScript API calls to interact with security layers.

Implementing session persistence to reduce redundant challenges.

The CAPTCHA had a short validity window, necessitating precise execution to prevent failures.

✅ Solution: Developed a latency-optimized request handling mechanism:

Implemented asynchronous execution to parallelize CAPTCHA solving.

Reduced network latency through proxy rotation and optimized requests.

Ensured synchronized execution of CAPTCHA resolution and data retrieval.

Extracting 1.8M records efficiently while maintaining accuracy.

✅ Solution: Architected a scalable pipeline featuring:

Dynamic Data Extraction: Adapted to varying page structures and AJAX content.

Smart Caching & Deduplication: Avoided redundant requests and optimized resource utilization.

Load Distribution: Balanced scraping tasks across multiple workers for efficiency.

🚀 Success Highlights:

99.8% Accuracy: Delivered clean, structured datasets ready for analysis.

Performance Optimization: Minimized request overhead and CAPTCHA failures.

Client Satisfaction: Exceeded expectations with timely, high-quality data delivery.

This project exemplifies robust web automation and strategic problem-solving, demonstrating expertise in handling real-world scraping challenges at scale.