Using Python 3.9 and BeautifulSoup to Web Scrape Market, Economic, Financial and Historical Company Earnings Data

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Using Python 3.9 and BeautifulSoup to Web Scrape Market, Economic, Financial and Historical Company Earnings Data
English | 357 pages | Independently Published (May 4, 2020) | B0882LV9T2 | EPUB | 34.67 Mb

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.



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