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

Description

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 BeautifulSoup 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.December 18, 2021, AddedAdded section 30 What is JSONDecember 11, 2021, AddedAdded section 16.4 High Dividend Yield StocksSeptember 18, 2021, UpdatePython code on how to retrieve historical company earningsThree standard web technologiesJanuary 23, 2021, UpdateAdded section 3, Standard & Poor’s Sectors and IndustriesIn this section, we will demonstrate the Yahoo! finance Sector and Industry API. We will discuss how to create the URL for the API.September 5, 2020, UpdateAdded section 21, Yahoo! Finance Ticker Info APIIn this section, we will demonstrate the Yahoo! finance Ticker Info API. We will discuss how to create the URL for the API.August 21, 2020, UpdateAdded 2.3.3 NASDAQ 100Updated 1.4.5 Yahoo! Finance Python LibrariesAugust 13, 2020, UpdateFrance, The United States and South Korea19.1 GDP19.2 Unemployment Rate19.3 Consumer PricesAugust 11, 2020, UpdateAdded 5.5 Rate of ReturnAugust 10, 2020, UpdateUpdated 1.4.1 Visual Studio CodeAdded 13.7 API for Financial Statements