In a previous post I showed how you can download ticker data from Yahoo Finance using the yFinance Python package. I now updated the Jupyter notebook code sample using YFinance to also show how you can retrieve additional information (sector, industry, trailing and forward earnings per share, etc...). The Ticker class in the yFinance library contains the info property which returns a dictionary object ( a collection of key-value pairs where each key is associated with a value) which allows you to access specific information about an asset.
Since I wanted to know how fast data retrieval would be I also include the %%time magic command . Wall clock time measures how much time has passed. CPU time is how many (milli)seconds the CPU was busy.
Yahoo Finance contains data about stocks, Exchange Traded Funds (ETF), mutual funds and stock market indices - the information that you can retrieve for each of these differs, so it is safe to check in your code for the quoteType. Below example retrieves information about Apple stock, the iShares MSCI AWCI UCITS ETF (Acc) and a thematic mutual fund from KBC.
I also included a code snippet which shows how to retrieve this information for multiple assets and convert this into a Pandas dataframe.
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