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Description of  Using Python 3.9 and BeautifulSoup to Web Scrape Market, Economic, Financial and Historical Company Earnings Data: Version: January 01, 2022

January 01, 2021, Added Added section 5.4 Russell 3000 Index December 18, 2021, Added Added section 30 What is JSON December 11, 2021, Added Added section 16.4 High Dividend Yield Stocks September 18, 2021, Update Python code on how to retrieve historical company earnings Three standard web technologies We will use Python and the Python Library to retrieve many different types of market, financial and economic data. The types of market, financial and economic data we will retrieve are stock, market index, currency rates, bonds, futures, mutual funds, electronically traded funds (ETF), commodities, balance sheet, income statement, statement of cash flow, GDP, consumer price index, unemployment rate, household income and money supply. Chapter 28 discusses how to retrieve historical company earnings. There are two ways to retrieve market data one of them is web scraping the data the other is to use the REST web service or REST API that is provided by the website. Most REST API from government agencies are free. When web scraping, we will use the beautifulsoup Python library. The install instruction is located at https://pypi.org/project/beautifulsoup4. Read more