Master the Art of Python Web Scraping in Just One Project
Python Web Scraping Tutorial | Web Scraping Project | Python Mini Project | Witty Coder
This video is for you! In this tutorial, we'll guide you through scraping data from Wikipedia, converting it into a pandas DataFrame, and finally saving it as an Excel sheet.
Here's what you'll learn:
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How to use Python libraries like requests and beautifulsoup4 to fetch and parse data from websites.
How to identify and extract specific data from HTML tables.
How to create a pandas DataFrame to organize and manipulate your extracted data.
How to export your DataFrame as an Excel spreadsheet.
Follow along as we step-by-step through the process of scraping data from the Wikipedia page on "Languages of India."
We'll show you how to:
Import necessary libraries.
Send a request to the website and retrieve the HTML content.
Use BeautifulSoup to parse the HTML and find the relevant table.
Extract the table headers and data row by row.
Create a pandas DataFrame from the extracted data.
Save the DataFrame as an Excel sheet.
By the end of this video, you'll have a valuable new skill and a mini project to showcase your abilities!
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Happy coding!
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