Web Scraping Tutorial - HTML Tables - Python & Selenium [+ Excel File]

In this tutorial we will extract particular data from an HTML table. For this project we will use the Selenium WebDriver + Python. The results will be printed out in the Pandas Dataframe and finally stored in an Excel-File.

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[jannserg]

finally the simplest and effective content about table scraping. thx!

[alexandreroberto]

This video saved my life. Just the best html table scraping content video I have ever watched!

[hawkdoes]

You just saved my life. Up to date codes, easy to understand, and simple.

[nurlybekbagyt]

Everything is clear explained and step by step. Thanks a lot.

[MGPL_]

great stuff, thank you. That Document Recovery list though... lol

[furkanozata]

excellent. thanks for sharing the video.

[Beratozal]

Thank you so much for sharing such videos. I look forward to more videos like this

[ravishanth]

brother next level tutorial, hats of to you...

[laxmanreddy]

Thanks Brother, I have learnt lot from this vedio.

[elfridhasman]

Wow, very amazing video bro, thank you

[uthsavirkodal]

Im stuck on webdriver connection on my corporate laptop, any suggestions would be appreciated!

[harinderjassal]

Beautiful explanation bro.👌👌👌
Pls suggest how to get only top10 table rows instead of 200+

[rajeshkumarsahoo]

Bro how to extract data from multiple pages using selenium

[joejaf]

What if you want to scrape the rest of the tables on the next pages ?

[BeigeSponge]

When I run this in jupyter notebook, the dataframe comes back as empty. But when I run it in a normal python file, it comes back populated. I'm not sure why thats happening? Any ideas

[subhamparida]

hey i am try to scrape sofa score but i am not getting any output i am using visual studio code...ant solution?

[danielcaldeira]

Very good content! In my case I have a table that replaces old values with new ones when I scroll the page down. Would there be any solution for this case?

[ionut-cataliniovan]

Dudee make a discord channel, trust me this will get big btw you helped me out to understand the xpath so cheers for that one

[marcogelsomini]

nice video thanks! I used list comprehension within pandas.DataFrame() to convert to text and populate the dataframe. But still need dictionary right :D

[bliss]

My list was overwriting so that only the last result was showing. Looks like I was not the only one with that issue. I fixed this by replacing temporary_data={ with population_result.append( Be sure to close parenthesis after the closing curly bracket world_share[i].text}). You can then delete the line