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Master AI and Machine Learning: From Neural Networks to Applications
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Learn how to use AgentQL, a powerful web scraping tool that leverages AI to simplify data extraction from websites. Explore AgentQL's capabilities through hands-on demonstrations, starting with basic usage and progressing to building a complete AI-powered web scraper. Discover how to perform data queries and element queries using AgentQL's intuitive syntax, which allows you to target web elements using natural language descriptions rather than complex CSS selectors or XPath expressions. Practice with the AgentQL playground to understand the tool's functionality before implementing it in real projects. Understand how AgentQL integrates with Playwright for browser automation and web scraping tasks. Examine additional features that make AgentQL stand out from traditional scraping methods, including its ability to adapt to website changes and handle dynamic content effectively. Gain practical experience by following along with the complete code implementation for an AI scraper project, making this tutorial valuable for developers looking to streamline their web scraping workflows with modern AI-powered tools.
Syllabus
00:00 Intro
00:46 AgentQL demo
04:08 Build AI-Web-Scraper With AgentQL
06:04 Data query
07:52 Elements query
11:10 Playground
12:25 Playwright
13:00 Other features
Taught by
ByteGrad