# SEC EDGAR Filings Scraper (`dk49/sec-edgar-filings-scraper`) Actor

Search and monitor SEC EDGAR filings: 10-K, 10-Q, 8-K, insider trades, S-1 IPOs. Filter by company, form type, date range. Full-text search across all US public company disclosures. No API key required.

- **URL**: https://apify.com/dk49/sec-edgar-filings-scraper.md
- **Developed by:** [DK](https://apify.com/dk49) (community)
- **Categories:** Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per usage

This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have.

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

## 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

Search and monitor **SEC EDGAR filings** — every public disclosure by US-listed companies: annual reports (10-K), quarterly reports (10-Q), breaking news (8-K), insider trades, IPO registrations (S-1), and more.

🔍 **Search it on Google:** "SEC EDGAR scraper", "SEC filings API", "10-K filings monitor"

### Why use this Actor?

- ✅ **No API key required** — works out of the box
- ✅ **Full-text search** — search inside filing documents, not just metadata
- ✅ **All form types** — 10-K, 10-Q, 8-K, S-1, Form 4 insider trades...
- ✅ **Official data source** — straight from sec.gov
- ✅ **Automation-ready** — schedule monitoring runs for new filings

### Who is this for?

| User | Use case |
|---|---|
| 📈 **Investors & analysts** | Track competitor filings, monitor holdings changes |
| 📰 **Financial journalists** | Breaking-news alerts on specific companies/topics |
| ⚖️ **Compliance teams** | Monitor regulatory disclosures in your sector |
| 🔬 **Researchers** | Full-text search across decades of corporate disclosures |
| 🧠 **AI agents** | Automated due-diligence pipelines |

### Input options

| Field | Description | Example |
|---|---|---|
| `searchQuery` | Full-text inside filings | `"artificial intelligence"`, `"merger agreement"` |
| `companyName` | Company name filter | `"Tesla"` |
| `ticker` | Stock ticker | `"TSLA"` |
| `formTypes` | Form type filter | `["10-K", "8-K"]`, `["4"]` |
| `dateFrom` / `dateTo` | Filing date range | `"2026-01-01"` |
| `maxItems` | Max results per run | `100` |

### Example input

```json
{
    "searchQuery": "artificial intelligence",
    "formTypes": ["10-K"],
    "dateFrom": "2026-06-01",
    "maxItems": 200
}
```

### Example output

```json
{
    "company": "Artificial Intelligence Technology Solutions Inc.",
    "ticker": "AITX",
    "cik": "0001498148",
    "formType": "10-K",
    "filedAt": "2026-06-09",
    "location": "Ferndale, MI",
    "accessionNo": "0001493152-26-027796",
    "filingUrl": "https://www.sec.gov/Archives/edgar/data/1498148/000149315226027796/"
}
```

### 💡 Pro tips

1. **Breaking-news monitor**: watch `["8-K"]` forms for your tracked companies
2. **Insider trading alerts**: form type `["4"]` + scheduled daily runs
3. **Sector research**: combine full-text queries (`"supply chain disruption"`) with date ranges

### Data source

Official [SEC EDGAR full-text search](https://efts.sec.gov/LATEST/search-index) API. Data is public record. This actor is not affiliated with the SEC.

# Actor input Schema

## `searchQuery` (type: `string`):

Search text inside filings, e.g. 'artificial intelligence', 'merger agreement'

## `companyName` (type: `string`):

Filter by company name, e.g. 'Tesla', 'Apple'

## `ticker` (type: `string`):

Stock ticker, e.g. TSLA, AAPL

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

e.g. \['10-K', '10-Q', '8-K', '4'] — annual, quarterly, current reports, insider trades

## `dateFrom` (type: `string`):

Start of filing date range

## `dateTo` (type: `string`):

End of filing date range

## `maxItems` (type: `integer`):

Maximum filings to return per run (max 1000)

## Actor input object example

```json
{
  "maxItems": 100
}
```

# Actor output Schema

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

SEC filing records

## `stats` (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 = {
    "maxItems": 100
};

// Run the Actor and wait for it to finish
const run = await client.actor("dk49/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 = { "maxItems": 100 }

# Run the Actor and wait for it to finish
run = client.actor("dk49/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 '{
  "maxItems": 100
}' |
apify call dk49/sec-edgar-filings-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,dk49/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/p1vEDPUnajXVyMvaF/builds/HYDFEvMJlaSsgn3pY/openapi.json