Название: Using Python 3.9 and BeautifulSoup to Web Scrape Market, Economic, Financial and Historical Company Earnings DataАвтор: John Lee
Издательство: Independently published
Год: January 01, 2022
Страниц: 357
Язык: английский
Формат: epub
Размер: 34.7 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.
The target audience for this book is those interested in retrieving market, financial and economic data. This book will show many sources for obtaining this type of information using the case study approach. People who read this book will need a working knowledge of Python. This book will not explain Python; instead, readers will study the code to learn different Python techniques and where to get the financial, market and economic data. Like experience programmers, the reader will google any Python programming concept that needs more clarifications.
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