- Introduction
- Target Audience
It used to be very expensive in both time, money, and energy to get market, economic and financial data. People would get stock prices from CRSP tapes, read the paper version of the Wall Street Journal, buy the paper version of Value Line financial research. This all changed with the start of the internet in the 1990s. The internet removed the middlemen in delivering information and data to the user.
One big overarching theme of the internet is “FREE.” With web browsers and Python, we can quickly and often at no cost quickly get data to get a good general understanding of the current economic, financial, and market conditions. If we want a deeper understanding of economic and market conditions, we can pay for more valuable data for a reasonable fee.
There are three popular frameworks to read the HTML of a web browser. The three frameworks are Beautiful Soup, Selenium, and Scrappy. The URL for Beautiful Soup is https://www.crummy.com/software/BeautifulSoup/. The URL for Selenium is https://www.selenium.dev/. The URL to Scrappy is https://scrapy.org/
Beautiful Soup is fast and easy to set up. It requests the HTML from the URL and bypasses the web browser. The problem with Beautiful Soup is it can not handle post HTML modification of Java Script. Beautiful Soup also can not handle user clicks.
Selenium is easy to set up. It launches and controls a web browser. Selenium is able to handle the post HTML modification of Java Script and the user clicks. The problem with Selenium is slower than Beautiful Soup.
Scrappy is fast, but it's difficult and cumbersome to set up.
In this book, we will use Python and Selenium to retrieve free Market Indexes, ETFs, ETNs, Stocks, Dividends, Bonds, Currencies and Commodity futures data
The target audience for this book is for people who are interested in getting free Market Indexes, ETFs, ETNs, Stocks, Dividends, Bonds, Currencies and Commodity futures from the internet. People who read this book will need a good working knowledge of Python and Selenium. This book will use the case study approach. This book will not explain Python or Selenium; instead, readers will study the Python and Selenium examples. Like experience developers, the reader will google any Python or Selenium concept they need more clarification on.
Download the book Using Python 3.9 and Selenium to Web Scrape Market Indexes and Market Data: Version: Sep-17-2021 for free or read online
Continue reading on any device:
Last viewed books
Related books
{related-news}
Comments (0)