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Web scraping has become a routine task for many businesses, especially those in the B2B sector. The demand for accurate and timely data continues to increase as companies rely on it to drive their operations. The advent of AI-powered scraping has birthed a new wave of startups that depend on reliable, cost-effective large language models (LLMs) for their data needs.
Traditionally, LLMs operate on a pricing model based on tokens, with one million tokens often serving as a reference point. Notably, one million tokens equate to approximately 750,000 words. While this may seem like ample capacity for scraping information, nuances in how LLMs interpret data, such as HTML tags and page structure, complicate the actual scraping process.