# SEC EDGAR Corporate Filings & 10-K / 8-K Extractor (`litezero/sec-edgar-filings-scraper`) Actor

Extract real-time corporate SEC filings including 10-K, 10-Q, 8-K, Form 4, and S-1 by company ticker or CIK. Extract accession numbers, filing dates, and document URLs.

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

## Pricing

from $1.05 / 1,000 item scrapeds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

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 Financial Filings & 10-K / 8-K Extractor

Extract official US Securities and Exchange Commission (SEC EDGAR) corporate filings including annual reports (10-K), quarterly reports (10-Q), material events (8-K), and insider trading forms with direct interactive document URLs and metadata.

***

### 🥊 Why This Actor Beats the Competition

| Feature | 🏛️ SEC EDGAR Filings Extractor | Complex Financial Data APIs | Legacy SEC Web Crawlers |
| :--- | :--- | :--- | :--- |
| **Speed** | **Instant REST JSON extraction** (< 1 sec) | Slow heavy data pipelines | Fragile table scrapers (5-15s) |
| **Pricing** | **Pay-Per-Result ($1.50 / 1k filings)** | $500–$2,000/mo enterprise fees | Expensive server compute bills |
| **Direct Document Links** | Generated direct links to `.htm` and inline XBRL | Only raw text or PDF | Broken links due to complex SEC paths |
| **Ticker & CIK Resolution** | Built-in ticker-to-CIK mapping for all major stocks | Requires manual CIK search | Often fails on ticker lookup |
| **SEC Rate Compliance** | Auto-throttled to respect SEC's 10 req/s ceiling | Prone to 429 IP bans | Frequently blocked by SEC firewalls |

***

### 🛠️ Step-by-Step: How to Use

#### Method 1: Apify Console (No-Code GUI)

1. Enter one or more stock tickers or 10-digit CIK numbers (e.g. `AAPL`, `MSFT`, `NVDA`, `TSLA`).
2. Select desired form types (default: `10-K`, `10-Q`, `8-K`).
3. Set `maxFilingsPerCompany` and click **Start**.

#### Method 2: Python SDK

```python
from apify_client import ApifyClient

client = ApifyClient("YOUR_APIFY_TOKEN")
run_input = {
    "tickersOrCiks": ["AAPL", "NVDA"],
    "formTypes": ["10-K", "10-Q"],
    "maxFilingsPerCompany": 5
}

run = client.actor("litezero/sec-edgar-filings-scraper").call(run_input=run_input)
for item in client.dataset(run["defaultDatasetId"]).iterate_items():
    print(f"[{item['ticker']}] Form {item['formType']} filed on {item['filingDate']}: {item['primaryDocumentUrl']}")
```

#### Method 3: Node.js SDK

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

const client = new ApifyClient({ token: 'YOUR_APIFY_TOKEN' });
const run = await client.actor('litezero/sec-edgar-filings-scraper').call({
    tickersOrCiks: ['TSLA', 'AMZN'],
    formTypes: ['8-K'],
    maxFilingsPerCompany: 10,
});

const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items);
```

#### Method 4: cURL / REST API

```bash
curl --request POST \
  --url "https://api.apify.com/v2/acts/litezero~sec-edgar-filings-scraper/runs?token=YOUR_APIFY_TOKEN" \
  --header "Content-Type: application/json" \
  --data '{"tickersOrCiks": ["AAPL"], "formTypes": ["10-K"]}'
```

***

### 📥 Input Parameters

| Parameter | Type | Default | Description |
| :--- | :--- | :--- | :--- |
| `tickersOrCiks` | Array | `["AAPL", "TSLA"]` | List of stock tickers (e.g. `NVDA`, `MSFT`) or numeric CIKs. |
| `formTypes` | Array | `["10-K", "10-Q", "8-K"]` | Specific SEC forms to retrieve. Leave empty for all forms. |
| `maxFilingsPerCompany` | Integer | `10` | Number of most recent filings to fetch per company. |

***

### 📤 Sample Output JSON

```json
{
  "companyName": "Apple Inc.",
  "cik": "0000320193",
  "ticker": "AAPL",
  "formType": "10-K",
  "filingDate": "2025-11-01",
  "reportDate": "2025-09-28",
  "accessionNumber": "0000320193-25-000106",
  "primaryDocumentUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000106/aapl-20250928.htm",
  "filingSummaryUrl": "https://www.sec.gov/ix?doc=/Archives/edgar/data/320193/000032019325000106/aapl-20250928.htm",
  "primaryDocDescription": "10-K",
  "fileSize": 12849021,
  "sic": "3571",
  "sicDescription": "Electronic Computers",
  "fiscalYearEnd": "0930",
  "scrapedAt": "2026-10-02T16:45:00.000Z"
}
```

***

### 💡 Top Commercial Use Cases

1. **Automated Earnings Alert Bots:** Detect new 10-K and 10-Q filings seconds after submission to extract guidance tables.
2. **Material Event Monitoring:** Screen 8-K filings for executive turnover, acquisitions, or litigation updates.
3. **Institutional Equity Research:** Build automated historical filing archives for quantitative sentiment analysis.

# Actor input Schema

## `tickersOrCiks` (type: `array`):

List of US stock ticker symbols (e.g. AAPL, NVDA, TSLA, MSFT, AMZN) or CIK numbers.

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

Filter by SEC form type (e.g. 10-K, 10-Q, 8-K, 4, DEF 14A, or leave empty for all).

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

Maximum number of recent filing records to retrieve per company.

## Actor input object example

```json
{
  "tickersOrCiks": [
    "AAPL",
    "TSLA"
  ],
  "formTypes": [
    "10-K",
    "10-Q",
    "8-K"
  ],
  "maxFilingsPerCompany": 10
}
```

# 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("litezero/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 = {}

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

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,litezero/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/N6fWW5e3g7TjoeD7g/builds/NhMCgkUsgtSYWHtts/openapi.json