Inspecting the Yahoo Finance WebpageĪfter we press the Inspect button, a panel appears on the right-hand side of the screen containing a huge amount of HTML. The discovery of tags from the HTML content is done via inspecting the webpage using the Web Browser. The parse() function would contain the logic behind the extraction of data from the Yahoo Finance Webpages.ĭiscovering tags for extracting relevant data Firstly, similar to other Python libraries, Scrapy is installed using pip. We will go over a quick installation process for Scrapy. Web Browser – Commonly-used web browsers like Google Chrome and Mozilla Firefox have a provision of inspecting the underlying HTML data.

However, if the reader is unaware of HTML basics, this website can be helpful.

HTML Basics – Scraping involves playing with HTML tags and attributes.

Scrapy – This web-crawling framework supported by Python is one of the most useful techniques for extracting data from websites.

Its vast set of libraries and straightforward scripting makes it the best option for Web Scraping.

Python – We will be working in Python for this specific project.

Web Scraper Requirementsīefore we get down to the specifics, we must meet certain technical requirements: In addition to the web scraping API, it also offers a residential proxy service, which gives access to the proxies itself and offers you maximum flexibility for your use case. In that case, you can use Zenscrape, which is a web scraping API that solves the problem of scraping at scale. Most of the popular websites use a firewall to block IPs with excessive traffic.

The web scraping is achieved by an open-source web crawling framework called Scrapy. In this article, we will be scraping the original Yahoo Finance Website instead of relying on the API. It has its own Yahoo Finance API for extracting historic stock prices and market summary. Yahoo Finance is a well-established website containing various fields of financial data like stock prices, financial news, and reports.

Download spy yahoo finance