SEC EDGAR Scraper

Get SEC EDGAR data for any US public company — filings, financial statements (XBRL), company profiles, and insider transactions — as clean, AI-ready JSON. Powered by SEC's official data APIs: reliable, always up to date, and no API key required.

What does SEC EDGAR Scraper do?

Pass any stock ticker (AAPL, MSFT, TSLA) or CIK number and get back:

• 🏢 Company profile — name, CIK, tickers, exchanges, SIC industry code, state of incorporation, fiscal year end, address
• 📄 Filings list — every recent filing with form type, dates, and a direct link to the document. Filter by form type (10-K, 10-Q, 8-K, S-1, DEF 14A…) and date
• 💵 Financial statements (XBRL) — revenue, net income, assets, liabilities, equity, EPS and any other US-GAAP concept, with the latest value plus history
• 👤 Insider transactions — Forms 3/4/5 (insider buys and sells) with links to each filing
• 🤖 AI-ready JSON — normalized output built for LLM pipelines, financial dashboards, and AI agents via the Apify MCP server

Why scrape SEC EDGAR?

Financial analysts, fintech builders, quant researchers, compliance teams, and AI agents use this Actor to:

• Track company fundamentals across a watchlist without manual EDGAR searches
• Monitor new filings (8-K events, 10-K/10-Q reports) programmatically
• Pull structured XBRL financials without parsing raw filing documents
• Watch insider trading activity (Form 4) across companies
• Feed regulatory & financial data into models, RAG systems, and AI agents

Input example

{
  "companies": ["AAPL", "TSLA", "320193"],
  "dataTypes": ["profile", "filings", "financials", "insiderTransactions"],
  "formTypes": ["10-K", "10-Q", "8-K"],
  "maxFilings": 50,
  "financialConcepts": ["Revenues", "NetIncomeLoss", "Assets", "Liabilities", "StockholdersEquity"]
}

Output example (abridged)

{
  "query": "AAPL",
  "cik": "0000320193",
  "name": "Apple Inc.",
  "profile": { "exchanges": ["Nasdaq"], "sicDescription": "Electronic Computers", "stateOfIncorporation": "CA" },
  "filings": [
    { "form": "10-Q", "filingDate": "2026-05-01", "url": "https://www.sec.gov/Archives/edgar/data/320193/.../aapl-20260328.htm" }
  ],
  "financials": {
    "Revenues": { "xbrlTag": "RevenueFromContractWithCustomerExcludingAssessedTax", "unit": "USD", "latest": { "value": 111184000000, "end": "2026-03-28", "fiscalYear": 2026, "fiscalPeriod": "Q2" } }
  },
  "insiderTransactions": [
    { "form": "4", "filingDate": "2026-06-17", "url": "https://www.sec.gov/Archives/edgar/data/320193/..." }
  ]
}

Financial concepts (XBRL tags)

Companies report financials under standardized US-GAAP tags. Common ones: Revenues, NetIncomeLoss, Assets, Liabilities, StockholdersEquity, CashAndCashEquivalentsAtCarryingValue, EarningsPerShareBasic. Tag availability varies by company and era — this Actor automatically resolves common revenue variants so you always get the most recent value.

How much does it cost?

Pay per company processed — a small fee per record. Analyzing 100 companies costs well under $1. No subscription.

FAQ

Is this legal / affiliated with the SEC? This Actor uses SEC's official public data APIs (data.sec.gov) and is not affiliated with or endorsed by the SEC. All data is public. We follow SEC's fair-access policy (declared User-Agent, rate limits).

Do I need an API key? No. SEC EDGAR data is free and public.

Can AI agents use this? Yes — it works with the Apify MCP server, so Claude, ChatGPT, and other agents can call it and pay per use.

Which companies are covered? All ~10,000+ US public companies that file with the SEC. Pass a ticker or CIK.

Support

Need a new data type (full Form 4 transaction parsing, fund holdings, full-text filing search)? Open an issue in the Issues tab — actively maintained, issues answered within one business day.