Oleg M.

I build production-grade Python-based data extraction and Web Scraping systems that survive where others fail.

Projects range from focused data extraction tasks to large-scale Anti-Bot resilient infrastructures — each engineered for stability, performance, and long-term reliability.

Over 12+ years, I’ve designed extraction systems processing 1B+ structured records across marketplaces, aggregators, AI/ML platforms, competitive intelligence systems, and enterprise catalogs. My systems are built using Python, Scrapy, Playwright, and Selenium — combining Web Scraper development, Data Mining, API Integration, and ETL pipeline design into stable, production-grade architectures.

Whether you need a targeted scraping solution or a high-volume distributed pipeline, I architect the right system.

When data becomes mission-critical — reliability matters more than code.

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What I Build
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• Custom Python Web Scraper and Data Extraction systems aligned with business logic
• Scalable web crawlers handling anything from selective datasets to millions of pages
• Continuous update pipelines (batch & incremental ETL workflows)
• Queue-based distributed processing
• High-concurrency execution models
• API-based data extraction and system integrations
• Clean ingestion into PostgreSQL / MySQL / APIs / cloud storage
• Automated validation, deduplication & anomaly detection
• Structured Data Mining pipelines for growing datasets

You receive structured, business-ready datasets — not scripts to babysit.

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Anti-Bot & Protection Layers
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Modern platforms are protected.I work inside environments guarded by:

• Cloudflare (403 / 429 / Turnstile)
• DataDome behavioral detection
• Akamai Bot Manager
• PerimeterX
• Reverse engineering of detection vectors & TLS/JA3 fingerprint alignment
• Headless & browser fingerprint detection
• hCaptcha / reCAPTCHA v3 Enterprise
• Sustainable session & token lifecycle management

This is not proxy swapping.
This is controlled, sustainable access engineering.