# SEC EDGAR Filings Scraper (`skillmerc/sec-edgar-filings-scraper`) Actor

Pull company filings (10-K, 10-Q, 8-K, S-1, 13F and more) with links and metadata from SEC EDGAR by ticker, CIK or company name. No API key needed.

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

## Pricing

from $1.00 / 1,000 results

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/actors/running/actors-in-store.md#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 Scraper

Pulls company filings (10-K, 10-Q, 8-K, S-1, 13F, DEF 14A, and any other form type) from the official SEC EDGAR system. Input a list of tickers, CIK numbers, or company names; get back structured filing records with direct links to the documents. No API key required.

Data comes from the official SEC EDGAR EDGAR JSON API (`data.sec.gov`), not HTML scraping, so it is reliable and structured.

***

### Inputs

| Name | Type | Default | Description |
|---|---|---|---|
| `companies` | array of strings | `["AAPL", "TSLA"]` | Tickers, CIK numbers, or company names. Mix and match. |
| `formTypes` | array of strings | `["10-K", "10-Q", "8-K"]` | Form types to include. Leave empty for all types. |
| `since` | string (YYYY-MM-DD) | `"2025-01-01"` | Only return filings on or after this date. Leave empty for all history. |
| `maxFilingsPerCompany` | integer | `50` | Cap on filings returned per company (max 1000). |

**Company resolution order:** CIK number (exact) > ticker symbol (exact, case-insensitive) > company name (prefix match).

***

### Output fields

Each dataset item is one filing:

| Field | Type | Description |
|---|---|---|
| `cik` | string | SEC CIK number |
| `ticker` | string | Exchange ticker symbol (if available) |
| `company_name` | string | Company name from EDGAR |
| `form_type` | string | Filing form type (10-K, 10-Q, 8-K, ...) |
| `filing_date` | string | Date the filing was submitted (YYYY-MM-DD) |
| `report_date` | string | Period of report end date (YYYY-MM-DD) |
| `accession_number` | string | EDGAR accession number (unique filing ID) |
| `primary_document` | string | Filename of the primary document |
| `filing_url` | string | URL to the filing index on EDGAR |
| `document_url` | string | Direct URL to the primary document |
| `description` | string | Short description of the filing |
| `size` | integer | File size in bytes |
| `sic` | string | SIC industry code |
| `state_of_incorporation` | string | State of incorporation |
| `fiscal_year_end` | string | Fiscal year end (MMDD) |

***

### Output example

Real item from a test run against AAPL and TSLA:

```json
{
  "cik": "320193",
  "ticker": "AAPL",
  "company_name": "Apple Inc.",
  "form_type": "10-Q",
  "filing_date": "2026-07-31",
  "report_date": "2026-06-27",
  "accession_number": "0000320193-26-000020",
  "primary_document": "aapl-20260627.htm",
  "filing_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000020/",
  "document_url": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000020/aapl-20260627.htm",
  "description": "10-Q",
  "size": 5946811,
  "sic": "3571",
  "state_of_incorporation": "CA",
  "fiscal_year_end": "0926"
}
```

***

### Pricing

Pay-per-result: $1.00 per 1,000 filings returned. A run pulling 10-K, 10-Q and 8-K filings for 10 companies since 2024 typically returns 200-400 items and costs under $0.50.

***

### Limitations

- Company name matching uses prefix search. Ambiguous names (e.g. "Apple" could match several entities) will match the first result alphabetically. Use a ticker or CIK when precision matters.
- EDGAR's `recent` submissions JSON covers approximately the most recent 1,000 filings per company. Older history is fetched from additional files, but very old filings (pre-1993) may not be available in machine-readable form.
- SEC policy requires max 10 requests per second. The actor self-throttles to 8 req/s. Large batches of companies take proportionally longer.
- The `document_url` points to the primary document declared by the filer. Some older filings list a `.txt` container rather than an HTML file.
- No login, no paywalls, no residential proxy needed. All data is public.

# Actor input Schema

## `companies` (type: `array`):

Tickers (AAPL), CIK numbers (320193), or company names (Apple Inc.). Mix and match.

## `formTypes` (type: `array`):

Filing types to include, e.g. 10-K, 10-Q, 8-K, S-1, 13F, DEF 14A. Leave empty for all types.

## `since` (type: `string`):

Only include filings on or after this date (YYYY-MM-DD). Leave empty for all dates.

## `maxFilingsPerCompany` (type: `integer`):

Maximum number of filings to return per company. Use a lower value for faster runs.

## Actor input object example

```json
{
  "companies": [
    "AAPL",
    "TSLA"
  ],
  "formTypes": [
    "10-K",
    "10-Q",
    "8-K"
  ],
  "since": "2025-01-01",
  "maxFilingsPerCompany": 50
}
```

# Actor output Schema

## `results` (type: `string`):

No description

# 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 = {
    "companies": [
        "AAPL",
        "TSLA"
    ],
    "formTypes": [
        "10-K",
        "10-Q",
        "8-K"
    ],
    "since": "2025-01-01",
    "maxFilingsPerCompany": 50
};

// Run the Actor and wait for it to finish
const run = await client.actor("skillmerc/sec-edgar-filings-scraper").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 = {
    "companies": [
        "AAPL",
        "TSLA",
    ],
    "formTypes": [
        "10-K",
        "10-Q",
        "8-K",
    ],
    "since": "2025-01-01",
    "maxFilingsPerCompany": 50,
}

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

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

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

```

## CLI example

```bash
echo '{
  "companies": [
    "AAPL",
    "TSLA"
  ],
  "formTypes": [
    "10-K",
    "10-Q",
    "8-K"
  ],
  "since": "2025-01-01",
  "maxFilingsPerCompany": 50
}' |
apify call skillmerc/sec-edgar-filings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,skillmerc/sec-edgar-filings-scraper"
        }
    }
}

```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/bWXBi74EfjiKfNeUH/builds/DOqsWfARRfCXIuMGz/openapi.json