Web Scraping - Extract data from a table with Python & Selenium

Поделиться
HTML-код
  • Опубликовано: 5 янв 2025
  • This video demonstrates how to extract data from a table using Python and Selenium.
    Link to the table: bit.ly/3DlZYMJ

Комментарии • 15

  • @ahassan7270
    @ahassan7270 9 месяцев назад

    You are exceptional, possessing a remarkable style in conveying ideas. Thank you for sharing this valuable information.👏👏

  • @NgoanHachLa
    @NgoanHachLa Месяц назад

    I love your video,very useful

  • @sufishalobo6305
    @sufishalobo6305 5 месяцев назад

    Thanks you, this helped me in interview

  • @RaviHirani-ro1xh
    @RaviHirani-ro1xh 9 месяцев назад

    it's really helped me bro, Thanks

  • @Zitrolika
    @Zitrolika Год назад

    Thx for the tutorial mate.
    After some trails, I found out that using pandas to read html located by CSS selector and outerHtml attribute is faster and could bypass using loop too, which is quite useful for my use case ; )

  • @zulucharlie5244
    @zulucharlie5244 Год назад

    Very clear and helpful, thank you.

  • @mosesdarko-e3t
    @mosesdarko-e3t Год назад

    Nice tutorial keep it up

  • @minhangnguyen999
    @minhangnguyen999 9 месяцев назад

    nice bro !

  • @tarnbhangu1016
    @tarnbhangu1016 Год назад

    Could you help me how to extract data from image

    • @Tronic.official
      @Tronic.official  Год назад

      Hello @tarnbhangu1016, take a look at this: nanonets.com/blog/how-to-extract-text-from-image-pdf-files/. I understand you have a question, but this channel is focused on different subjects. As a result, I'm unable to assist you with that particular topic.

  • @elhoussainmechkah5105
    @elhoussainmechkah5105 Год назад

    Good job, could you please add how to put this data in a excel sheet. Thank you ;)

    • @aquaperrito6619
      @aquaperrito6619 Год назад +2

      this might work
      # Write dataframe on csv
      data.to_csv('data.csv', index=False, encoding='utf-8')
      # write dataframe on excel
      excel('data.xlsx', index=False)