CyberScraper-2077 — ИИ-парсинг сайтов в структурированные данные

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CyberScraper-2077 is an AI web scraper: it extracts structured data from pages using language models, understanding the content rather than just the HTML tags. Reach for it when you need to gather data from sites in a convenient form: competitor prices and product descriptions, lists, cards — and get them straight as JSON, CSV, Excel, or Markdown. It is driven in natural language, works with various LLMs (including local ones via Ollama), and handles dynamic pages. Its focus is intelligent extraction of structured data from pages by description, not a browser agent clicking through an interface (for actions, browser-use/nanobrowser) or a mass site-crawling engine: the emphasis is on understanding content and convenient export. In job it sits alongside crawl4ai and Firecrawl. Use it lawfully, respecting robots.txt and site terms; for large volumes, weigh the load and limits.