# 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`:
```bash
pip install beautifulsoup4 lxml
```
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"description": "# Stock Analysis Scraper\n\nThis 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.\n\n## Features\n\n- Extracts stock information including:\n - Market Capitalization\n - Revenue (TTM)\n - Net Income (TTM)\n - Shares Outstanding\n - EPS (TTM)\n - P/E Ratio\n - Dividend Information\n- Extracts profile details such as:\n - Industry\n - Sector\n - IPO Date\n - Number of Employees\n - Stock Exchange\n - Ticker Symbol\n- Extracts lists of:\n - **Pre-Market Gainers**: Stocks with the highest gains during pre-market trading.\n - **After-Hours Gainers**: Stocks with the highest gains during after-hours trading.\n - **All News**: Recent news articles related to the stock market and specific stocks.\n- Outputs the extracted data as a dictionary for easy integration with other applications or storage solutions.\n\n## Prerequisites\n\nBefore running the scraper, ensure you have the following installed:\n\n- Python 3.6+\n- `BeautifulSoup4`\n- `lxml` (optional but recommended for faster HTML parsing)\n\nYou can install the required Python packages using `pip`:\n\n```bash\npip install beautifulsoup4 lxml\n```\n\n\n",
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