Yahoo Finance Scraper Pro 📈

Professional bulk scraper for Yahoo Finance - extract comprehensive financial data, stock information, historical prices, and more.

🎯 What You Get

• Complete Stock Info: Extract name, sector, industry, market cap, and over 100+ data points for any ticker.
• Historical Data: Fetch daily historical prices and volume with customizable periods.
• Financial Statements: Extract Income Statement, Balance Sheet, and Cash Flow statements.
• Market Insights: Get recommendations, news, dividends, splits, and calendar events.
• Holder Information: Analyze major and institutional holders.
• Cryptocurrency Support: Scrape data for BTC-USD, ETH-USD, and other crypto pairs.
• Bulk Processing: Efficiently process multiple symbols in a single run.

🔧 Features

• info: General company information and statistics.
• history: Historical price data.
• financials: Yearly and quarterly income statements.
• balance_sheet: Yearly and quarterly balance sheets.
• cashflow: Yearly and quarterly cash flow statements.
• recommendations: Analyst recommendations.
• news: Latest news articles related to the ticker.
• actions: Dividend and stock split history.
• major_holders: Breakdown of major shareholders.
• institutional_holders: List of institutional investors.
• calendar: Upcoming earnings, dividends, and other events.
• earnings: Historical earnings data.

💡 Example Output

{
  "symbol": "AAPL",
  "scraped_at": "2026-01-14T12:00:00Z",
  "info": {
    "shortName": "Apple Inc.",
    "sector": "Technology",
    "industry": "Consumer Electronics",
    "currentPrice": 185.92,
    "marketCap": 2874650656768,
    ...
  },
  "history": [
    {
      "Date": "2025-12-14 00:00:00",
      "Open": 184.50,
      "High": 186.20,
      "Low": 184.10,
      "Close": 185.92,
      "Volume": 52345600
    },
    ...
  ],
  "news": [
    {
      "title": "Apple's latest innovation...",
      "publisher": "Reuters",
      "link": "https://finance.yahoo.com/news/..."
    }
  ]
}

⚡ Quick Start

1. Enter the stock symbols (e.g., AAPL, MSFT, GOOGL).
2. Select the data features you want to extract.
3. Choose the historical period (e.g., 1mo, 1y, max).
4. Run the scraper and get your financial data!

📝 Configuration

{
  "symbols": ["AAPL", "MSFT", "TSLA", "BTC-USD"],
  "features": ["info", "history", "financials", "news"],
  "history_period": "1mo"
}

Parameters

• symbols: List of stock symbols to scrape. Can be a list of strings or a comma-separated string.
• features: List of data types to extract (options: info, history, financials, balance_sheet, cashflow, recommendations, news, actions, major_holders, institutional_holders, calendar, earnings).
• history_period: The period for historical data (e.g., 1d, 5d, 1mo, 3mo, 6mo, 1y, 2y, 5y, 10y, ytd, max).

📊 Perfect For

• Investors: Deep dive into company fundamentals and price action.
• Data Analysts: Build financial models with clean JSON data.
• FinTech Developers: Power your apps with reliable Yahoo Finance data.
• Market Researchers: Track institutional holdings and analyst sentiment.

Ready to extract professional financial data? Click "Try for free" to start!