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

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Python

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Author(s):	no autor

Date:	2021	Format:	epub	Language:	English	ISBN/ASIN:	B0882LV9T2
Pages:	357	OCR:		Quality:		ISBN13:
Uploader:	maveriks	Upload Date:	1/30/2022 11:53:27 AM

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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.
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3083532	Book	https://nitro.download/view/4DF825B39CAE...		0.00	maveriks

Tags: BeautifulSoup Company Data Earnings Economic Financial Historical January Market Python

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

Category: Python

Description: Click to see full description

Category:
Python