Create An Intelligent Web Scraping Agent With PydanticAI In Python | Complete Tutorial

Businesses often lack the tools and technical skills needed to access relevant data to make decisions. Extracting information from websites can be daunting due to their complex and varying HTML structures. This is where web scraping agents come in. By using a web scraping agent, we can simplify data collection, adapt to different website formats, and save valuable time. In this tutorial, learn how to build a web scraping AI agent using PydanticAI in Python.

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00:00 - Tutorial overview
01:58 - Python dependencies installation
04:14 - Base model classes
05:14 - Create web scraping agent
07:04 - Add fetch_html_text() function to agent's toolset
08:52 - Result validator
09:22 - main() function

#pydanticai #webscraping #generativeai #python

[jiejenn]

Anything else you want to see? Comment below 👇

[leopickard]

This is brilliant. Im definitely going to give this a go. I struggle with webscraping and this looks like a great solution

[dangc]

Watching in 2025. Manchester UK. Great content!

[Datatwunk]

Is PydanticAI preferable over LangChain/Graph? I'm a newbie in building AI agents in python, and I'm looking for an easy to learn but well-performing framework.

[berkaysoylu]

Great video and clear explanation as always. I have been following for almost a year approximately and I am glad that I came across your channel. I will start developing a project that has a similar starting point, on which I plan to use CrewAI and Ollama models to scrape the news about selected topics on the web, do you have any suggestions or any tips on the subject?

[demonsalvator]

It needs api key for the models? isn't it free?

[Siva-ensw]

where did you passed the Open AI API key ?