# SEC EDGAR 10-K, 10-Q, and Insider Filings Radar (`adaptive_nightmare/sec-edgar-filings-radar`) Actor

Scrape live SEC EDGAR financial filings, annual reports (10-K), quarterly earnings (10-Q), material events (8-K), and insider trading forms without proxies.

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

## Pricing

$1.20 / 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?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
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.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## SEC EDGAR Company Filings Scraper

Extract official SEC EDGAR financial filings, including 10-K annual reports, 10-Q quarterly reports, 8-K material events, and Form 4 insider transactions.

### Features

- Tracks major SEC form types: 10-K, 10-Q, 8-K, Form 4, 13F-HR, and S-1.
- Filters filings by company name, stock ticker symbol, or 10-digit CIK code.
- Extracts clean company names, filing dates, accession numbers, and document URLs.
- Provides direct links to filing indexes on the official SEC website.
- Queries official EDGAR Atom feeds in compliance with SEC header policies.
- Executes in seconds without residential proxy overhead.

### Input parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `formTypes` | Array | `["10-K", "10-Q", "8-K", "4"]` | SEC form types to track. Set to `["ALL"]` for every filing. |
| `company` | String | `""` | Optional company name, stock ticker, or CIK code filter. |
| `maxItems` | Integer | `50` | Maximum number of filings to output into the dataset. |

### Output format

`json
{
  "formTypes": ["10-K", "10-Q", "8-K", "4"],
  "company": "",
  "maxItems": 50
}
`

### Use cases

- Financial monitoring: Receive fast alerts when companies file 8-K disclosures or earnings reports.
- Insider transaction tracking: Follow executive and director stock purchases and sales.
- Due diligence: Collect historical 10-K and 10-Q filings for financial modeling.
- Compliance workflows: Automate regulatory filing collection for corporate legal teams.

### Pricing and efficiency

- Typical runtime: 2 to 4 seconds per execution.
- Zero proxy costs: Runs over public REST and RSS endpoints without residential proxy pools.
- Suitable for scheduled runs and continuous monitoring under standard platform limits.

# Actor input Schema

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

SEC filing types to fetch. Leave empty or choose forms: 10-K (Annual Reports), 10-Q (Quarterly Reports), 8-K (Major Events), 4 (Insider Transactions), 13F-HR (Hedge Fund Holdings), S-1 (IPO Filings).

## `company` (type: `string`):

Optional company name, CIK number, or stock ticker symbol (e.g. Apple, 0000320193, Tesla, Microsoft). Leave empty to monitor all companies market-wide.

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

Maximum filings to scrape and save into the dataset.

## Actor input object example

```json
{
  "formTypes": [
    "10-K",
    "10-Q",
    "8-K",
    "4"
  ],
  "company": "",
  "maxItems": 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("adaptive_nightmare/sec-edgar-filings-radar").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("adaptive_nightmare/sec-edgar-filings-radar").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 '{}' |
apify call adaptive_nightmare/sec-edgar-filings-radar --silent --output-dataset

```

## MCP server setup

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

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/uIQfxXWpQaah9bdz7/builds/Yi1bMcuMgRdI0Uat0/openapi.json