In this video, we’ll see how you can scrape financial data from Yahoo! Finance using Python and the yfinance library. After watching this video, you should be able to access and scrape many types of stock market data such as :
– stock prices,
– intraday trading data,
– option prices;
company disclosures and information such as :
– financial information,
– earnings,
– analyst ratings and recommendations,
– insider trades,
– SEC filings,
– news,
– large shareholders;
ETF and mutual fund information such as:
– bond and stock holdings caracteristics,
– top portfolio holdings;
and also sector-specific and industry-specific information.
All that data can easily be extracted as strings for text data and as pandas dataframes for structured data.
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🔗 Video links:
Yahoo! Finance: https://finance.yahoo.com/
yfinance: https://yfinance-python.org/index.html
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