YoVDO

Build Web Scraper with Llama 3.1 - Get Structured Data by Scraping Web Content with AI

Offered By: Venelin Valkov via YouTube

Tags

Web Scraping Courses Python Courses Markdown Courses Pydantic Courses Playwright Courses Llama 3.1 Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
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

Validate Data Classes with Pydantic
Pluralsight
Pydantic - Making Life Easier with Data Validation
EuroPython Conference via YouTube
When Models Query Models
EuroPython Conference via YouTube
Simple Data Validation and Setting Management with Pydantic
EuroPython Conference via YouTube
Intro to Pydantic - Run-Time Type Checking for Your Dataclasses
PyCon US via YouTube