Du Tableau Web au DataFrame Pandas en 30 Secondes

📰 Dev.to · circobit

Learn to extract data from a website and convert it to a Pandas DataFrame in 30 seconds

intermediate Published 11 May 2026

Action Steps

Inspect the website's HTML structure using the browser's developer tools
Use the `requests` and `BeautifulSoup` libraries to scrape the data from the website
Parse the HTML content and extract the relevant data
Convert the extracted data to a Pandas DataFrame using the `pd.DataFrame()` function
Clean and preprocess the data as needed

Who Needs to Know This

Data scientists and analysts can benefit from this technique to quickly extract and manipulate web data

Key Insight

💡 Use web scraping and Pandas to quickly extract and manipulate web data