Python Project - Scrape Countries Population Data From an HTML Table into CSV and Excel Using Python

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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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[sunriseentertainment]

Best Video I can say the most easy to scrap data from a table thank you

[JaveGeddes]

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. &

[vasanthkumarVaithyanathan]

Absolutely Awesome. Each Explanation is Crystal clear.

[osoriomatucurane]

Awesome. Concise & crystal clear. Thank you Sir for sharing this informative tutorial in such elegant fashion way typically pythonist

[kenarsenault]

Best tutorial on this subject matter!!!

[hilesiz]

Congratulations on a very good content. You write clean code, even someone who doesn't speak English will understand you :=)

[Yaya]

Thank you. I tried follow your video, but it does not recognize the requests

[lhwgzmz]

0:20 Do you have the link for this table(dataset), so we can practice while watching the video?

[InnovateEduTech]

If td and tr no role and no class then how we access the data?

[reirto]

why does it say list object has no attribute text