![]() ![]() #url įirst, we import pandas and use pd.read_html to scrap the Executive Pay table included in Yahoo Finance. ![]() Instead of going to Yahoo Finance and check that manually, we could run below Python code and store the data into a Pandas DataFrame for further analysis. Let’s imagine that we are interested in knowing how much key executives are getting paid in Apple and Microsoft. This is what makes Pandas one of the best Python packages. To scrape Yahoo finance using Python, we only need a couple of lines of codes as we will see below thanks to Pandas. In this article, we will follow a different approach, we will scrap Yahoo Financials using Python. In my latest posts, we have performed multiple financial analysis using Python through a great API financialmodelingprep. We will use Pandas to extract key financials for any company available in Yahoo Financials. During this post, we are going to find out how to scrape Yahoo Financials using Python.
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