SEC Financial Data Scraper 📈

Unlock comprehensive financial data for publicly traded US companies with this Apify Actor. Access balance sheets, income statements, cash flow statements, and more - perfect for financial analysis, investment research, and performance tracking.

Features ✨

• Comprehensive Financial Statements 📊
  • Balance sheets
  • Income statements
  • Cash flow statements
• Key Growth Metrics & Ratios 📈
• Broad US Company Coverage 🏢
• Seamless Apify Integration 🔄
• Analysis-Ready Data (JSON) 💾

Data Output 📦

Company Information

• Ticker Symbol
• Company Name

Financial Statements

• Balance Sheet Data
  • Assets, Liabilities, Equity
  • Key component breakdowns
• Income Statement Data
  • Revenue, Expenses, Net Income
  • Detailed profit metrics
• Cash Flow Statement Data
  • Operating activities
  • Investing activities
  • Financing activities
• Share Data
  • Outstanding Shares
• Metadata
  • Data retrieval timestamp

Example Output

{
  "ticker": "AAPL",
  "companyName": "Apple Inc.",
  "data": {
    "balance_sheet": {
      "current_assets": 30006000000,
      "total_assets": 36171000000,
      "current_liabilities": 11361000000,
      "total_liabilities": 13874000000,
      "stockholders_equity": 9984000000,
      "cash_and_equivalents": 6392000000,
      "accounts_receivable_net_current": 2422000000,
      "inventory_net": 509000000,
      "property_plant_equipment_net": 7777000000,
      "goodwill": 207000000,
      "intangible_assets_excl_goodwill": 285000000,
      "long_term_debt_noncurrent": 28987000000,
      "long_term_debt_current": 0,
      "deferred_tax_assets_liabilities_net": -922000000
    },
    "income_statement": {
      "revenues": 215639000000,
      "cost_of_goods_sold": null,
      "gross_profit": 169148000000,
      "operating_expenses": 54847000000,
      "research_and_development_expenses": 29915000000,
      "general_and_administrative_expenses": null,
      "operating_income_loss": 114301000000,
      "net_income_loss": 99803000000,
      "interest_expense": 3933000000,
      "income_tax_expense_benefit": 16741000000,
      "earnings_per_share_basic": 6.15,
      "earnings_per_share_diluted": 6.11,
      "weighted_average_shares_outstanding_basic": 16215963000,
      "weighted_average_shares_outstanding_diluted": 16325819000,
      "share_based_compensation": 10833000000
    },
    "cash_flow_statement": {
      "net_cash_from_operating_activities": 110543000000,
      "net_cash_from_investing_activities": 3705000000,
      "net_cash_from_financing_activities": -108488000000,
      "effect_of_exchange_rate_on_cash": null,
      "depreciation_and_amortization": 11519000000
    }
  },
  "share_data": {
    "common_stock_shares_outstanding": 895816758
  },
  "fetchedAt": "2025-02-10T12:50:11.265302"
}

Use Cases 💡

Financial Analysis & Modeling 📊

• Ratio Analysis
• Trend Analysis
• Valuation
• Automated Reporting

Investment Research 🔍

• Company Screening
• Portfolio Monitoring
• Automated Due Diligence

Competitive Intelligence 📈

• Competitor Comparison
• Industry Analysis
• Automated Benchmarking

Academic Research 🎓

• Data Collection
• Dataset Export

Getting Started 🚀

1. Find the "SEC Financial Data Scraper" in the Apify Store
2. Configure input (ticker symbol/company name)
3. Run the Actor
4. Access results (JSON, CSV, Excel formats)
5. Optional: Set up scheduling, webhooks, or integrations

Key Benefits 🏆

Data Quality

• ✅ Reliable & Accurate
• ✅ Up-to-date Information
• ✅ Structured Format

Platform Advantages

• ✅ Scalable & Serverless
• ✅ Cost-Effective
• ✅ Full Apify Integration
• ✅ User-Friendly
• ✅ Automated Updates