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 json { "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