Ultimate Rozetka Parser

Hybrid automated system for high-performance collection and management of product content.

This project addresses the issue of filling catalogs with data in the context of aggressive anti-bot systems. Thanks to the combination of a powerful browser engine and a flexible backend in Python, the system ensures a stable flow of data without blocks.

Technology stack:
Engine: Browser Automation Studio (BAS) — chosen for perfect emulation of user actions and guaranteed passage of Cloudflare checks.
Backend & UI: Python — responsible for data storage logic, search, and visualization in the web panel.
Networking: Multi-threaded processing with support for HTTP and SOCKS5 protocols.

Key features:
Multi-threaded Scraping: Parallel data collection in multiple threads, significantly increasing the speed of database filling.
Anti-Bot Resilience: Successful bypass of Cloudflare protection and rotation of proxy servers to simulate distributed requests.
Full Data Extraction: Automatic parsing by keywords: full description, structured characteristics (specifications), and image galleries.

Management Dashboard: Professional web panel for working with results:
Instant search and filtering of products by groups.
Interactive preview of cards with an image carousel.
Direct links to the source for data verification.

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