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

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  • Опубліковано 14 січ 2025

КОМЕНТАРІ • 13

  • @jiejenn
    @jiejenn  2 дні тому

    Anything else you want to see? Comment below 👇

    • @hichemben-u3l
      @hichemben-u3l 2 дні тому

      GREAAAAT !!!! With selenium please ! It's work in Google Map ?

    • @jiejenn
      @jiejenn  2 дні тому +1

      Can you give me a use case example?

    • @hichemben-u3l
      @hichemben-u3l 2 дні тому +1

      collect company name and phone number, from a search by activity and city and save them with pandas

    • @jiejenn
      @jiejenn  2 дні тому +1

      I will look into it.

  • @leopickard7090
    @leopickard7090 2 дні тому +1

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

    • @jiejenn
      @jiejenn  2 дні тому

      Great to hear! I will be covering how to incorporate RAG in case the page volume is too large. Stay tuned.

  • @dangc5405
    @dangc5405 10 годин тому

    Watching in 2025. Manchester UK. Great content!

  • @berkaysoylu5893
    @berkaysoylu5893 2 дні тому

    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?

    • @jiejenn
      @jiejenn  2 дні тому

      I never used CrewAI so I can't comment on that. In terms of open source models, I found that llama 3.3 70b model works pretty well, but requires a really powerful GPU to run smoothly.

  • @learndataanalysis7450
    @learndataanalysis7450 2 дні тому

    Great!