SEC EDGAR Filings Search — Company Filings to JSON avatar

SEC EDGAR Filings Search — Company Filings to JSON

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$5.00 / 1,000 results

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SEC EDGAR Filings Search — Company Filings to JSON

SEC EDGAR Filings Search — Company Filings to JSON

Search SEC EDGAR full-text filings by keyword or company. Form type, filer, date, document link as JSON for finance & due-diligence AI agents. $5 per 1,000, no coding.

Pricing

$5.00 / 1,000 results

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Developer

Hassan Hashish

Hassan Hashish

Maintained by Community

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9 hours ago

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Search SEC EDGAR full-text for company filings (8-K, 10-K, S-1 and more) and get filer, form type, date and document URL as JSON — $0.005 per filing.

Every material corporate event in the US is disclosed in an SEC filing — acquisitions, executive changes, risk factors, new products. This actor turns a keyword into the matching filings across all of EDGAR, so finance, legal, and due-diligence agents can read corporate disclosures as structured data instead of scraping HTML.

What this actor does

  • Full-text search across all SEC EDGAR filings by keyword, company, person, or product
  • Each result: filing title, form type (8-K/10-K/S-1/…), filing date, filer name + CIK, and EDGAR document id
  • Filter by keyword, date posted (postedAfter) for incremental disclosure monitoring
  • Batch many queries per run; cap spend with maxResults
  • Agent-ready: flat JSON, sourceUrl + scrapedAt on every item for citation

You only pay for successful results — failed or empty lookups cost nothing.

Why pick this Actor

  • Full-text search across the EDGAR corpus with form type, filer + CIK, and filing date on every item; postedAfter turns a query into a scheduled disclosure monitor
  • Per-result pricing ($0.005/result) with a hard maxResults spend cap — empty lookups cost $0
  • Flat, stable JSON schema with sourceUrl + scrapedAt on every item — citation-ready for RAG and grounding
  • Batch many queries in one run; overlapping results are deduplicated and charged once
  • MCP server, OpenAPI schema, and LangChain/CrewAI tool support out of the box — no glue code

Sample output

Each dataset item is flat, typed JSON with a sourceUrl and scrapedAt for citation/grounding:

{
"query": "artificial intelligence",
"source": "sec_edgar",
"title": "EX-10.17(A)",
"form": "EX-10.17(A)",
"filer": [
"ViewRay, Inc. (VRAYQ) (CIK 0001597313)"
],
"filedAt": "2015-07-29",
"documentId": "0001193125-15-268413:d89741dex1017a.htm",
"sourceUrl": "https://efts.sec.gov/LATEST/search-index?q=artificial+intelligence",
"scrapedAt": "2026-06-11T09:00:00.000Z"
}

Input

{"queries":["artificial intelligence"]}
FieldTypeDescription
queries / queryarray / stringKeyword or company name. One or many.
maxResultsintegerHard spend cap (billed per result).
keywords / postedAfterfiltersNarrow results; enable delta/scheduled runs.

How much does it cost

Pay-per-result: $0.005 per successful result. No subscription, no compute-unit guesswork, no charge for empty results. An orchestrator can cap spend with maxResults.

How to use it with AI agents (MCP), Claude, and the API

Claude Desktop / Claude Code via Apify MCP

{
"mcpServers": {
"apify": {
"command": "npx",
"args": ["-y", "@apify/actors-mcp-server", "--actors", "oblanceolate_mandola/sec-edgar-filings"],
"env": { "APIFY_TOKEN": "<YOUR_APIFY_TOKEN>" }
}
}
}

Python (Apify API)

from apify_client import ApifyClient
client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("oblanceolate_mandola/sec-edgar-filings").call(run_input={"queries":["artificial intelligence"]})
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
print(item)

TypeScript (Apify API)

import { ApifyClient } from 'apify-client';
const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('oblanceolate_mandola/sec-edgar-filings').call({"queries":["artificial intelligence"]});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);

LangChain / CrewAI tool

from langchain_apify import ApifyActorsTool
tool = ApifyActorsTool("oblanceolate_mandola/sec-edgar-filings") # agent calls it autonomously

OpenAPI schema for self-integrating GPT agents is auto-exposed at the Actor's API tab.

Data & compliance

Reads only publicly accessible endpoints. No login, no credential harvesting, no CAPTCHA bypass. Every result carries its sourceUrl so downstream agents can cite and re-verify.

FAQ

The SEC EDGAR full-text index, which covers filings from 2001 onward across every form type.

How do I get only recent filings?

Set postedAfter to an ISO date (YYYY-MM-DD); combined with a schedule this becomes a live disclosure feed.

Is this affiliated with the SEC?

No — it reads the SEC’s public EDGAR API. Always confirm against the official filing for legal use.

How do I open a filing?

Each result carries its EDGAR document id (accession:file) and the filer CIK; look it up on sec.gov, or use the sourceUrl to re-run the search. Direct document-URL construction is planned for v1.1.

Can AI agents call this Actor directly?

Yes — via the Apify MCP server (snippet above), the OpenAPI schema on the Actor's API tab, or the LangChain/CrewAI tool wrapper. Results are flat JSON with sourceUrl and scrapedAt on every item, so downstream agents can cite and re-verify.

What happens when there are no results?

You pay nothing. Billing is per dataset item delivered, so an empty lookup costs $0, and the run log states why (no match, source rate limit) instead of failing silently.

Changelog

  • 1.0 — Initial release: sec_edgar.