Web Scraping Market, Financial and Economic Data Using Python 3, REST Web Services, JSON, Pandas and BeautifulSoup

[ FreeCourseWeb.com ] Web Scraping Market, Financial and Economic Data Using Python 3, REST Web Services, JSON, Pandas and BeautifulSoup



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English | 2020 | ASIN: B0882LV9T2 | 292 Pages | PDF, AZW | 122 MB



This book will use Python 3.7 and 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, electronic traded funds (ETF), commodities, balance sheet, income, statement of cash flow, GDP, consumer price index, unemployment rate, household income, and money supply.



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 web site. Most REST API from government agencies are free. When web scraping, we will use the beautifulsoup Python library



Use Winrar to Extract. And use a shorter path when extracting, such as C: drive



ALSO ANOTHER TIP: You Can Easily Navigate Using Winrar and Rename the Too Long File/ Folder Name if Needed While You Cannot in Default Windows Explorer. You are Welcome ! :)



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