Python Project - Scrape Countries Population Data From an HTML Table into CSV and Excel Using Python
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- Опубліковано 10 вер 2024
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This Python project tutorial explains how we can scrape an HTML table using Python, Requests, BeautifulSoup, and Pandas. This is a step by step tutorial for beginners.
Along the way I explain why I used each package and the methodology behind scraping html pages from the web using Python.
At the end I show the easiest way to save Data from a Python list into Excel and CSV using the Pandas Library.
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I don't know how this is already 3 months old, and I'm the first comment, but this is an extremely excellent tutorial. You should be very proud of yourself, and I thank you. I am definitely subscribed, & now I'm off to see the rest of your stuff. &
Thank you so much for your support 🙂 Means a lot!
great tutorial indeed
Absolutely Awesome. Each Explanation is Crystal clear.
Best Video I can say the most easy to scrap data from a table thank you
Awesome. Concise & crystal clear. Thank you Sir for sharing this informative tutorial in such elegant fashion way typically pythonist
Thank you for the support 🙏
Best tutorial on this subject matter!!!
Congratulations on a very good content. You write clean code, even someone who doesn't speak English will understand you :=)
this channel is so underrated
Thank you. I tried follow your video, but it does not recognize the requests
Thank you si Amin
i can scrape a range of links?
0:20 Do you have the link for this table(dataset), so we can practice while watching the video?
Thank you 😊 amazing 😍
Great explanation.
Thank you!
Great tutorial
Thank you!
If td and tr no role and no class then how we access the data?
That depends! The idea is to use the HTML tags and CSS attributes to access it.
why does it say list object has no attribute text
I need more info so that I can help you?
@@AminBoutarfi i tried to do it on some other websites and it couldnt convert the content of the list to a text, while when i did it with the worldometers website it worked just fine
@@reirto8198 I don't know what website you tried it on, but that't the thing with web scraping, different websites require different solutions.
The goal is to understand the basics and then try to get familiar with as many concepts as possible.
@@reirto8198 you can try converting the list into a string and slicing to get the data you require. I had the same problem and converting it into string and slicing worked for me.
@@AminBoutarfiI absolutely agree with. You need to understand what soup objects the different search methods available (find, find_all,.....) return. In addition to that, you need to consider what are you paasing, whether it is a tagname, class, id.....