📈 SEC EDGAR Filings Scraper

⚡️ Structured, ready-to-analyse SEC EDGAR filings — by ticker, CIK, date, form type, or full-text query. JSON, CSV, Excel.

✨ Why this scraper

• 🎯 Every form, every filer. 10-K, 10-Q, 8-K, S-1, 13F, Form 4, DEF 14A — anything EDGAR indexes.
• 🔎 Two ways to find filings. Full-text search across all filings, or pull every filing for a list of companies you already know.
• 🏢 Auto-enriched company info. Each row comes with industry (SIC), exchange, fiscal year, business address, EIN — no second pipeline.
• 🚀 Fast & reliable. Polite by default (5 concurrent requests, well under SEC's 10-req/s policy). Auto-retries on transient 5xx with exponential backoff.
• 📦 Drop-in formats. Download as JSON, CSV, or Excel — straight into your dashboard, notebook, or BI tool.
• 🤖 Incremental-friendly. since parameter for daily diff runs.
• 💰 Predictable cost. Pay per filing, no surprises.

🚀 Quick start

1. Try for free — click Try for free at the top of this page.
2. Pick your filters — tickers (e.g. AAPL,MSFT), form types (e.g. 10-K,10-Q), and a date range. Or use the full-text query box.
3. Click Start — the actor runs, you watch progress in real time.
4. Download results — JSON, CSV, or Excel from the Output tab.

⚙️ Inputs

Field	Description
scrapeMode	search (default — keyword + form + date across all of EDGAR) or company (every filing for a list of companies).
query	Full-text search query, e.g. "climate change" or cybersecurity incident. Phrase search with quotes.
tickers	Stock tickers (e.g. AAPL, MSFT). Auto-resolved to CIKs.
ciks	SEC CIK numbers, for filers without a stock ticker (trusts, partnerships, foreign issuers).
forms	Form types to include: 10-K, 10-Q, 8-K, S-1, 13F-HR, 4, DEF 14A, SC 13D, etc. Empty = all forms.
dateFrom / dateTo	Filing date range (YYYY-MM-DD). Inclusive.
locations	Filter by filer's business state/country code (e.g. CA, NY).
since	Skip filings older than this date (incremental runs).
enrichWithCompanyInfo	Add company firmographics (industry, exchange, address, EIN, fiscal year). Default true.
maxItems	Max filings to return. Default 50, 0 = unlimited.
concurrency	Parallel requests (default 5, max 25).

📦 Sample output

{
  "id": "0000320193-24-000123:aapl-20240928.htm",
  "accession": "0000320193-24-000123",
  "form": "10-K",
  "rootForm": "10-K",
  "filingDate": "2024-11-01",
  "reportDate": "2024-09-28",
  "primaryDocument": "aapl-20240928.htm",
  "primaryDocumentDescription": "10-K",
  "fileType": "10-K",
  "items": [],
  "cik": "0000320193",
  "ciks": ["0000320193"],
  "companyName": "Apple Inc.",
  "ticker": "AAPL",
  "tickers": ["AAPL"],
  "exchanges": ["Nasdaq"],
  "displayNames": ["APPLE INC.  (AAPL)  (CIK 0000320193)"],
  "sic": "3571",
  "sicDescription": "Electronic Computers",
  "category": "Large accelerated filer",
  "ein": "942404110",
  "lei": null,
  "fiscalYearEnd": "0926",
  "entityType": "operating",
  "website": null,
  "formerNames": [],
  "businessLocation": "Cupertino, CA",
  "businessLocations": ["Cupertino, CA"],
  "businessStates": ["CA"],
  "incStates": ["CA"],
  "fileNumbers": ["001-36743"],
  "filmNumbers": ["241409582"],
  "businessAddress": {
    "street1": "ONE APPLE PARK WAY",
    "street2": null,
    "city": "CUPERTINO",
    "state": "CA",
    "zip": "95014",
    "country": null
  },
  "mailingAddress": {
    "street1": "ONE APPLE PARK WAY",
    "street2": null,
    "city": "CUPERTINO",
    "state": "CA",
    "zip": "95014",
    "country": null
  },
  "url": "https://www.sec.gov/Archives/edgar/data/320193/000032019324000123/aapl-20240928.htm",
  "filingIndexUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019324000123/",
  "scraped_at": "2025-05-10T13:14:15Z"
}

💡 Use cases

For	What you build
🏦 Fundamental investors	Always-fresh 10-K / 10-Q / 8-K feed for a watchlist.
🤖 Quant & ML teams	Training data for filing-language models, sentiment over time, event studies.
📊 Equity research	Track new S-1 filings (IPO pipeline), 13F changes (institutional positioning), Form 4 (insider buying).
🛡️ Compliance & risk	Monitor specific keywords ("data breach", "going concern", "material weakness") across filings.
📰 Financial news	Real-time 8-K event monitoring for breaking corporate news.
💼 PropTech / M&A	Track SC 13D/13G activist filings, proxy contests, real-estate partnership filings.

💡 Tips & tricks

• Phrase search: wrap multi-word queries in double quotes — "material weakness" matches the phrase, not the bag of words.
• Get every Apple filing ever: scrapeMode=company, tickers=AAPL, maxItems=0.
• Daily diff job: schedule with since set to "yesterday" and maxItems=0.
• Hit 10k cap on a search? EDGAR's index returns max 10,000 results per query. Slice by date (year-by-year) and concatenate.
• Form 4 / insider trades: set forms=4 and a tickers list. Each Form 4 is one insider transaction.

❓ FAQ

Q: Does this download the actual 10-K document? No — it returns metadata + the document URL. Use the url field with your own downloader if you need the body. (Bulk-download support is on the roadmap.)

Q: Why are some filings missing from a "company" mode run? Older filings (typically pre-2001) live in a separate index file. Submit a request via Apify Console issue tracker if you need them included.

Q: How fresh is the data? EDGAR is updated within minutes of acceptance. The full-text index has a ~1-hour delay; the company submissions JSON is near-real-time.

Q: I get a 403 when I try the API directly — does this scraper hit rate limits? The actor follows SEC's published fair-access policy (self-identifying User-Agent + ≤10 req/s). You should never see 429s.

Q: GDPR / CCPA? SEC filings are mandated public regulatory disclosures and exempt from typical PII regimes. All data here is what filers themselves submit to the public record.

💰 Pricing

Pay-per-result. You only pay for filings actually returned. No charge for failed or empty runs.