SEC EDGAR Full-Text Search avatar

SEC EDGAR Full-Text Search

Pricing

$2.00 / 1,000 matching documents

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SEC EDGAR Full-Text Search

SEC EDGAR Full-Text Search

Search the full text of every SEC filing since 2001 with EDGAR full-text search: any phrase across 10-Ks, 8-Ks, S-1s, proxies and exhibits. Returns company, CIK, form, dates, state, SIC and a direct link to the matching document.

Pricing

$2.00 / 1,000 matching documents

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Aidan Jude

Aidan Jude

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2 days ago

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Search the full text of every SEC filing since 2001 with EDGAR full-text search: any phrase across 10-Ks, 8-Ks, S-1s, proxies and exhibits. Returns company, CIK, form, dates, state, SIC and a direct link to the matching document.

Why use it

Find every company that said a phrase: 'going concern', 'material weakness', a supplier's name, a drug, a lawsuit. Boolean and exact-phrase queries work as on efts.

Who it's for

  • Short-sellers and credit analysts screening for distress language
  • Sales teams finding companies that name a technology or vendor
  • Lawyers and researchers tracing a term across filings

Input

FieldWhat it does
querySearch query. Exact phrases in double quotes. e.g. "going concern"
formsForm types (comma-separated). e.g. 10-K,8-K
startDateFiled from (YYYY-MM-DD). Start of filing date range.
endDateFiled to (YYYY-MM-DD). End of filing date range.
maxItemsMax results. Stop after this many results. Each result is one billed event.

Example input:

{
"query": "\"going concern\"",
"forms": "10-K",
"startDate": "2026-01-01",
"maxItems": 100
}

Output

One dataset item per result. A real item from a test run:

{
"companies": [
"THEGLOBE COM INC (TGLO) (CIK 0001066684)"
],
"ciks": [
"0001066684"
],
"form": "10-K",
"rootForms": [
"10-K"
],
"filingDate": "2026-04-01",
"periodEnding": "2025-12-31",
"fileType": "10-K",
"fileDescription": "10-K",
"accessionNumber": "0001104659-26-038019",
"sics": [
"7310"
],
"bizStates": [
"FL"
],
"incStates": [
"DE"
],
"documentUrl": "https://www.sec.gov/Archives/edgar/data/1066684/000110465926038019/tglo-20251231x10k.htm"
}

Download as JSON, CSV, Excel or via the Apify API.

Pricing

Pay per result: $0.002 per matching document ($2 per 1,000). No monthly fee. Set a max charge on the run and it stops there. AI agents can run it with agentic payments where Apify enables them.

Data source

Fetched live at run time from the public source: https://efts.sec.gov/LATEST/search-index

Public records only. Nothing is fetched behind a login.

Limits

  • EDGAR caps a query at 10,000 hits; narrow by form and date for more.

Use it from code or an AI agent

curl -X POST 'https://api.apify.com/v2/acts/cheerful_term~sec-edgar-full-text-search/run-sync-get-dataset-items?token=YOUR_TOKEN' \
-H 'Content-Type: application/json' -d '{"query": "\"going concern\"", "forms": "10-K", "startDate": "2026-01-01", "maxItems": 100}'

Part of a set of public-records actors by cheerful_term: https://apify.com/cheerful_term