# SEC EDGAR Filings Search & Export (`foxk1996/sec-edgar-filings`) Actor

Full-text search SEC EDGAR filings (10-K, 8-K, S-1, 13F...) and export structured results with direct document links. Official SEC data.

- **URL**: https://apify.com/foxk1996/sec-edgar-filings.md
- **Developed by:** [Kronos Fox](https://apify.com/foxk1996) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$20.00 / 1,000 filing scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.
Actors are written with capital "A".

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

## SEC EDGAR Filings Search & Export

Run **full-text searches across SEC EDGAR filings** and export clean, structured results:
company, CIK, form type, filing date, description, and a **direct link to the exact
document** — as JSON, CSV, or Excel. Official SEC data, fetched live.

### What you can find

- Every mention of a phrase ("cybersecurity incident", "going concern", a competitor's
  name) across **10-K, 10-Q, 8-K, S-1, 13F, DEF 14A** and 150+ other form types
- Filter by form type and date range
- Results include SIC industry codes, business locations, incorporation states, and
  relevance scores

### Who uses this

- **Investors & analysts** — track risk-factor language, insider policies, disclosures
- **Lawyers & compliance** — precedent digging across filings at scale
- **Journalists & researchers** — quantify how disclosure language spreads
- **Data teams & AI agents** — structured filing metadata for pipelines and RAG

### How to use

1. Enter a search phrase (quotes for exact match)
2. Optionally filter forms (e.g. `10-K`) and a date range
3. Run — each result row is one filing document with its direct `documentUrl`

Schedule weekly with a saved query to monitor new filings mentioning any topic.

### Pricing

Small fee per filing record exported (see pricing tab). Free runs are capped at 25 records.

### FAQ

**Is this official data?** Yes — the SEC's own EDGAR full-text search system, queried
politely within the SEC's published fair-access guidelines.

**How far back does it go?** EDGAR full-text search covers filings from 2001 onward.

**Can I get the document contents too?** This actor returns metadata + direct document
URLs; pair it with any fetcher (or ask the developer — a contents actor is planned).

**How fresh?** Live at run time; new filings appear in EDGAR FTS shortly after acceptance.

# Actor input Schema

## `query` (type: `string`):

Full-text search across filing documents. Use quotes for exact phrases, e.g. "supply chain disruption".

## `forms` (type: `array`):

Limit to specific forms (10-K, 10-Q, 8-K, S-1, 13F-HR, DEF 14A...). Empty = all.

## `startDate` (type: `string`):

Only filings on/after this date (YYYY-MM-DD). Leave empty for no lower bound.

## `endDate` (type: `string`):

Only filings on/before this date (YYYY-MM-DD). Leave empty for no upper bound.

## `maxResults` (type: `integer`):

Cap on filing records exported.

## Actor input object example

```json
{
  "query": "\"artificial intelligence\"",
  "forms": [],
  "startDate": "",
  "endDate": "",
  "maxResults": 100
}
```

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "query": "\"artificial intelligence\""
};

// Run the Actor and wait for it to finish
const run = await client.actor("foxk1996/sec-edgar-filings").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "query": "\"artificial intelligence\"" }

# Run the Actor and wait for it to finish
run = client.actor("foxk1996/sec-edgar-filings").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "query": "\\"artificial intelligence\\""
}' |
apify call foxk1996/sec-edgar-filings --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=foxk1996/sec-edgar-filings",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/DWQqAnmNWypYcsHlT/builds/D5ntW5v9vXEgvhqUv/openapi.json