# SEC Filings Extractor (`extremescrapes/sec-filings-extractor`) Actor

Extract SEC filings (10-K, 10-Q, 8-K) as structured Markdown with automatic section splitting by Item headers.

- **URL**: https://apify.com/extremescrapes/sec-filings-extractor.md
- **Developed by:** [Extreme Scrapes](https://apify.com/extremescrapes) (community)
- **Categories:** AI, Agents, Jobs
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $150.00 / 1,000 result extracteds

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 Filings Extractor

Extract SEC filings (10-K, 10-Q, 8-K) as structured Markdown with automatic section splitting by Item headers. Handles large financial documents with extended timeout and high token budget.

### Features

- **Large document support** — 120-second timeout and 500,000 token budget for massive filings
- **Automatic section splitting** — splits by SEC Item headers (Item 1A. Risk Factors, Item 7. MD\&A, etc.)
- **High-quality extraction** — uses ReaderlM v2 for complex document structure
- **Full content + sections** — get both the complete markdown and individual sections as a map
- **Batch processing** — extract multiple filings in a single run

### How It Works

1. Provide SEC filing URLs (from EDGAR or direct links) as input.
2. The Actor fetches each filing with extended timeout for large documents.
3. Content is split by SEC Item headers into a structured sections map.
4. Both full markdown and section map are stored in the dataset.

### Input

```json
{
    "startUrls": [
        { "url": "https://www.sec.gov/Archives/edgar/data/320193/000032019323000106/aapl-20230930.htm" }
    ]
}
```

### Output

```json
{
    "url": "https://www.sec.gov/Archives/edgar/data/320193/000032019323000106/aapl-20230930.htm",
    "sectionCount": 15,
    "sections": {
        "Item 1. Business": "Apple Inc. designs, manufactures...",
        "Item 1A. Risk Factors": "The Company's business...",
        "Item 7. Management's Discussion and Analysis": "..."
    },
    "markdown": "# Full filing content..."
}
```

### Use Cases

- Financial analysis and due diligence automation
- Build datasets of company risk factors
- Extract MD\&A sections for sentiment analysis
- Feed filings into AI for financial research
- Regulatory compliance monitoring

### Keywords

SEC scraper, 10-K extractor, EDGAR scraper, financial filings, SEC EDGAR API, 10-Q parser, annual report extractor

### Pricing

$150 per 1,000 filing extractions.

# Actor input Schema

## `startUrls` (type: `array`):

URLs of SEC filings (10-K, 10-Q, 8-K) from EDGAR or direct links.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of requests that can be made by this crawler.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.sec.gov/Archives/edgar/data/320193/000032019323000106/aapl-20230930.htm"
    }
  ],
  "maxRequestsPerCrawl": 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 = {
    "startUrls": [
        {
            "url": "https://www.sec.gov/Archives/edgar/data/320193/000032019323000106/aapl-20230930.htm"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("extremescrapes/sec-filings-extractor").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 = { "startUrls": [{ "url": "https://www.sec.gov/Archives/edgar/data/320193/000032019323000106/aapl-20230930.htm" }] }

# Run the Actor and wait for it to finish
run = client.actor("extremescrapes/sec-filings-extractor").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 '{
  "startUrls": [
    {
      "url": "https://www.sec.gov/Archives/edgar/data/320193/000032019323000106/aapl-20230930.htm"
    }
  ]
}' |
apify call extremescrapes/sec-filings-extractor --silent --output-dataset

```

## MCP server setup

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

```

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/IELT8ozeigo1Rc6Gj/builds/Nrlv1pXHzBbQsPpwv/openapi.json