CyberScraper-2077 is an AI-powered web scraping tool that uses large language models to extract and structure data from websites into organized formats. It functions as an LLM web scraper and AI content parser, transforming unstructured raw web text into specific data schemas.
The project distinguishes itself through a suite of anonymity and evasion tools, including proxy rotation, SOCKS-based identity masking, and the ability to route traffic through the Tor network to access hidden onion services. It further includes a bot detection bypass system that employs stealth parameters and custom network headers to evade security firewalls.
The system manages dynamic content via headless browser automation and handles multi-page crawling. Extracted data is processed through automated export pipelines that support multi-format serialization to JSON, CSV, SQL, and Excel, or direct synchronization to Google Sheets via OAuth 2.0.
The tool also features a dictionary-based request caching system to reduce redundant network traffic and provides a mechanism for manual captcha solving.