Sec Filings
Pricing
Pay per usage
Sec Filings
Extract SEC filings, financial statements, and public company data from EDGAR. Search by ticker symbol or CIK to get 10-K, 10-Q, 8-K filings and company financial information for investment research.
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Pay per usage
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Max N
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SECFilings — Public Company Financial Data
Extract SEC filings, financial statements, and insider trades for any US public company directly from the SEC EDGAR database. Get 10-K annual reports, 10-Q quarterlies, 8-K material events, XBRL financial data (revenue, net income, assets), and Form 4 insider transactions.
What data can you get?
Filings — Search and download SEC filings by company, filing type, and date. Covers 10-K, 10-Q, 8-K, DEF 14A, S-1, and all other SEC form types. Over 20 years of filings available.
Company Facts (XBRL) — Structured financial data extracted from company filings: revenue, net income, total assets, liabilities, earnings per share, and hundreds more metrics. Data comes from machine-readable XBRL filings — no PDF parsing needed.
Insider Trades — Form 4 filings showing when company officers, directors, and 10% owners buy or sell stock. Track insider buying patterns and large transactions.
Use cases
- Quantitative analysis — Build financial datasets for backtesting trading strategies
- Fundamental research — Screen companies by financial metrics (revenue growth, margins, debt ratios)
- Insider trading signals — Monitor insider buying/selling for investment signals
- Competitive intelligence — Compare financial performance across companies in a sector
- Due diligence — Research company financials for M&A, investment, or partnerships
- Academic research — Access structured financial data for papers and analysis
How to use
- Choose searchType:
filings,company-facts, orinsider-trades - Identify the company by ticker (AAPL), CIK number, or company name
- Optionally filter by filing type and date range
- For company-facts, use factsFilter to get specific metrics (Revenue, NetIncome, etc.)
Example input — Financial statements
{"searchType": "company-facts","ticker": "AAPL","factsFilter": ["Revenue", "NetIncome", "Assets"],"maxResults": 500}
Example output — XBRL financial fact
{"companyName": "Apple Inc.","ticker": "AAPL","cik": "320193","metric": "RevenueFromContractWithCustomerExcludingAssessedTax","label": "Revenue from Contract with Customer, Excluding Assessed Tax","value": 391035000000,"unit": "USD","fiscalYear": 2024,"fiscalPeriod": "FY","form": "10-K","filingDate": "2024-11-01","scrapedAt": "2026-02-14T12:00:00.000Z"}
Data source
- SEC EDGAR — Official SEC database (free, public API)
- XBRL financial data from machine-readable filings
- Updated daily as companies file new reports
Pricing
Pay-per-event pricing:
- $1.00 per actor start
- $0.005 per result (filing or financial fact)
Example: Fetching 200 financial facts for Apple costs $1.00 + $1.00 = $2.00 total.
Integrations
Works with all Apify integrations. Schedule quarterly runs to track earnings reports, or daily runs to monitor insider trading activity.
Tips
- Use
factsFilterto target specific financial metrics. Instead of pulling all XBRL data, request only what you need (e.g.,["Revenue", "NetIncome", "Assets"]) to get cleaner output and pay for fewer results. - Combine 10-K filings with insider trades for investment signals. Run
company-factsfor fundamental data andinsider-tradesfor the same company to see whether insiders are buying or selling around earnings releases. - Schedule quarterly runs aligned with earnings season. Most 10-Q filings land within 40 days after quarter end and 10-K filings within 60 days after fiscal year end. Schedule runs in February, May, August, and November to capture fresh data.
- Search by CIK number for precision. Ticker symbols can be ambiguous (e.g., multiple share classes). Using the SEC CIK number ensures you get data for exactly the right entity.
- Build sector comparison datasets by running the actor for multiple companies in the same industry. Pull the same
factsFiltermetrics for each competitor to create standardized financial comparisons.