Build Web Scraper with Llama 3.1 - Get Structured Data by Scraping Web Content with AI
Offered By: Venelin Valkov via YouTube
Course Description
Overview
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.
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
Related Courses
Automated Web Testing in Java with PlaywrightPluralsight Playwright Automation Testing from Scratch with Framework
Udemy Performing Arts Lesson Plans
Study.com Enhanced Visual Studio Code Java Tooling and Container Apps
Visual Studio Code via YouTube Testing Modern Web Apps with Playwright and VS Code
Visual Studio Code via YouTube