MMinexa.aiinminexa-ai.hashnode.dev·Jul 22 · 6 min readWhy LLM-based web scraping is unreliable at scale (and what deterministic extraction actually solves)There is a recurring pattern in how developers approach web data extraction: start with an LLM because it feels like the flexible, modern choice, then gradually discover that flexibility comes with a 00
MMinexa.aiinminexa-ai.hashnode.dev·Jul 22 · 6 min readHow to effectively scrape products from a websiteWhy scraping product data is harder than it looks Product pages are among the most information-dense pages on the web. A single listing might contain a title, multiple price fields, stock status, imag00
MMinexa.aiinminexa-ai.hashnode.dev·Jul 16 · 4 min readWhy autonomous browser agents struggle in production (and what developers actually do instead)Running an autonomous browser agent across a large number of sites sounds like the right approach until you actually try it in production. The problems that surface are consistent and well-documented 00
MMinexa.aiinminexa-ai.hashnode.dev·Jul 16 · 5 min readWhen your data collection works fine at small scale but breaks everything at volumeMost data collection projects start the same way. You find a page with the information you need, copy a few rows into a spreadsheet, and move on. It works. Then someone asks for the same data across h00
MMinexa.aiinminexa-ai.hashnode.dev·Jul 2 · 5 min readLLM-based extraction vs DOM-based extraction: what the cost and accuracy gap actually looks likeWhen developers evaluate tools for web data extraction, the choice often comes down to two fundamentally different approaches: feeding HTML into a language model and asking it to parse the content, or00
