SEC EDGAR Scraper — Filings, XBRL Financials & Full-Text Search

Pulls SEC EDGAR data for any US public company — filing history (10-K, 10-Q, 8-K, Form 4, 13F-HR, S-1…), standardized XBRL financial statements, and full-text search across all EDGAR filings — resolved by ticker, CIK or company name. For analysts, quants, compliance teams and AI/research pipelines. Pricing: $0.01 per run start + $0.01 per company + $0.01 per search query. Official SEC government data, no API key, no subscription.

SEC EDGAR API without the API friction

EDGAR's official endpoints are free but awkward: you juggle CIK zero-padding, per-endpoint JSON shapes, User-Agent requirements and rate limits. This Actor wraps them into one input → one clean dataset:

Mode lookup — company → data

For each entry in companies (ticker AAPL, CIK 320193, or a name), choose any of three dataTypes:

dataType	What you get
company	Name, CIK, tickers, exchanges, SIC industry code, state of incorporation, address, fiscal year end
filings	Recent filings with form type, dates, accession number and direct document URL — filterable by form (e.g. only 8-K)
financials	Key XBRL facts over time: revenue, net income, assets, liabilities, equity, cash, operating income, gross profit, EPS, R&D

Mode search — keyword → filings

Full-text search over the text of all EDGAR filings ("artificial intelligence", "going concern", a subsidiary name…), optionally filtered by form type. One row per hit with a link to the document.

Example

Input (console prefill):

{
  "mode": "lookup",
  "companies": ["AAPL", "TSLA"],
  "dataTypes": ["company", "filings"],
  "maxFilings": 40,
  "limit": 20
}

Output rows (one per company / filing / financial set / search hit):

{ "dataType": "company", "name": "Apple Inc.", "cik": 320193, "tickers": ["AAPL"], "sicDescription": "Electronic Computers" }
{ "dataType": "filing", "form": "10-K", "filingDate": "2025-11-01", "filingUrl": "https://www.sec.gov/Archives/edgar/data/320193/..." }
{ "dataType": "financials", "concepts": { "NetIncomeLoss": { "annual": { "2024": 93736000000, "2023": 96995000000 } } } }

Export JSON/CSV/Excel or read via the Apify API — ready to feed a model, a screener or a spreadsheet.

What people build with it

• Fundamental & quant analysis — standardized XBRL concepts across companies and fiscal years, no XBRL parsing on your side.
• Event monitoring — schedule a run watching 8-K filings or Form 4 insider transactions for a watchlist; pipe new rows to Slack or a webhook.
• Compliance & due diligence — complete filing history with direct links to the source documents.
• LLM/RAG pipelines — full-text search surfaces the filings that mention your topic; the URLs feed your ingestion step.

FAQ

Do I need an SEC or third-party API key? No. The Actor uses the SEC's official public data APIs and automatically sends the descriptive User-Agent the SEC requests. You only need an Apify account.

Which companies are covered? Every US public company (and other SEC filers) in EDGAR — resolved from a ticker, CIK number or company name.

How current is the data? Real-time against EDGAR: filings appear as companies submit them, and XBRL facts come straight from the filed documents.

Can I get insider-trading (Form 4) or 13F holdings filings? Yes — they're filings like any other: request filings and filter by form type (4, 13F-HR).

How do I search all filings that mention a specific phrase? Use mode: "search" with your query; optionally restrict by form. Each hit returns the filing metadata and document link.

What does a typical run cost? Lookup of 20 companies: $0.01 start + 20 × $0.01 = $0.21. Search queries are $0.01 each. There's no subscription and no minimum — a Bloomberg terminal this is not, in either capability or price.

Is this financial advice or a licensed data feed? Neither — it's public SEC EDGAR data, delivered as-is for informational purposes. Verify anything material against the linked source documents.

Can I automate recurring pulls? Yes — Apify Schedules plus webhooks/integrations (Sheets, Make, Zapier, n8n). A nightly financials refresh for a portfolio costs pennies.