Stock Analysis Scraper

This project is a Python-based web scraper designed to extract relevant stock information from the Stock Analysis website. It utilizes BeautifulSoup to parse HTML content and extract specific data points, such as market capitalization, revenue, industry, sector, and more. Additionally, it can extract pre-market gainers, after-hours gainers, and all news articles related to stocks.

Features

• Extracts stock information including:
  • Market Capitalization
  • Revenue (TTM)
  • Net Income (TTM)
  • Shares Outstanding
  • EPS (TTM)
  • P/E Ratio
  • Dividend Information
• Extracts profile details such as:
  • Industry
  • Sector
  • IPO Date
  • Number of Employees
  • Stock Exchange
  • Ticker Symbol
• Extracts lists of:
  • Pre-Market Gainers: Stocks with the highest gains during pre-market trading.
  • After-Hours Gainers: Stocks with the highest gains during after-hours trading.
  • All News: Recent news articles related to the stock market and specific stocks.
• Outputs the extracted data as a dictionary for easy integration with other applications or storage solutions.

Prerequisites

Before running the scraper, ensure you have the following installed:

• Python 3.6+
• BeautifulSoup4
• lxml (optional but recommended for faster HTML parsing)

You can install the required Python packages using pip:

pip install beautifulsoup4 lxml