The llm-scraper is a TypeScript library that leverages Large Language Models (LLMs) to extract structured data from webpages by defining a schema rather than writing custom parsing logic. Released in mid-2024, it quickly gained popularity for its ability to handle dynamic or inconsistent web pages, such as e-commerce sites. The library integrates with various LLM providers and utilizes Playwright for browser automation, allowing it to effectively extract data in a type-safe manner using Zod schemas. A detailed tutorial explains the setup process, including the installation of necessary libraries, schema definition, and running AI-powered scraping tasks. The guide also highlights the library's ability to generate code for data extraction and discusses alternative libraries like Crawl4AI and ScrapeGraphAI. However, it acknowledges potential challenges like anti-scraping measures on real websites and suggests integrating with a cloud-based browser optimized for scraping to overcome such obstacles. The article concludes by emphasizing llm-scraper's utility in building scalable AI-powered scrapers and mentions additional resources for enhancing web scraping strategies.