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If you’ve ever tried to build an automated web scraping and content analysis pipeline, you know the billing shock that follows. Crawling 1,000 pages and feeding them into OpenAI’s GPT-4o or Claude 3.5 Sonnet to extract key data can easily cost you $50 to $100. Doing this daily or at scale quickly turns a neat side project into a financial black hole. But what if you could scrape any website using a robust cloud-based crawler, clean up the clutter, and feed it into a powerful local LLM running on your own hardware? ...