Название: Web Scraping Market, Financial and Economic Data Using Python 3, REST Web Services, JSON, Pandas and BeautifulSoup
Автор: John Lee
Издательство: Amazon.com Services LLC
Год: 2020
Страниц: 292
Язык: английский
Формат: pdf, azw
Размер: 122.2 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.