Discover how to construct a web scraper that generates structured output using Llama 3.1 in this 16-minute tutorial. Learn to fetch web page content as markdown, set up Google Colab and Llama 3.1, and scrape landing pages and car listings. Explore the process of creating Pydantic models from web content using artificial intelligence. Gain insights into using tools like Playwright for web automation and follow along with a step-by-step guide to build your own AI-powered web scraper. Perfect for developers interested in combining web scraping techniques with large language models to extract structured data from websites efficiently.
Build Web Scraper with Llama 3.1 - Get Structured Data by Scraping Web Content with AI
Overview
Syllabus
- What our web scraper will do
- Text tutorial on MLExpert.io
- How the scraper will work
- Google Colab setup
- Fetch web page content as markdown
- Llama 3.1 setup
- Scrape landing pages
- Scrape car listings
- Conclusion
Taught by
Venelin Valkov
