# SEC EDGAR Scraper: 10-K, 10-Q, 8-K Filings & Full-Text Search (`datadesk-io/sec-edgar-filings`) Actor

Input: tickers/CIKs, a full-text search query, or form types (8-K, 10-K, 10-Q) for market-wide latest filings. Output: one JSON row per SEC EDGAR filing: company, form, filing/report dates, 8-K items, document and index URLs. Official SEC APIs.

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

## Pricing

from $0.80 / 1,000 filings

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 Scraper: 10-K, 10-Q, 8-K, Form 4 Filings & Full-Text Search

An **SEC EDGAR API alternative** for downloading **SEC filings** by ticker, CIK, form type or full-text query, built on official SEC endpoints.

Pull **SEC EDGAR filings** straight from the official SEC APIs, three ways:

1. **By company**: tickers or CIKs (`AAPL`, `TSLA`, `789019`) → their recent filings, filtered by form type and date.
2. **Full-text search**: any phrase across all EDGAR documents since 2001 (`"going concern"`, `"stablecoin"`, `"material weakness"`).
3. **Market-wide feed**: leave input empty → the latest 8-K filings from the last 3 days, for every company.

### Why use it

- 📄 Every form: 10-K, 10-Q, 8-K (with item numbers), S-1, Form 4, 13F-HR, DEF 14A...
- 🔗 Direct **document URL** and **filing index URL** for each filing, plus period, acceptance time, SIC, state.
- 🔎 Full-text search the big Actors don't offer, with form + date filters.
- ✅ Official SEC endpoints with fair-access rate limiting (no blocks, no proxies, no API key).
- 💸 Pay only for filings returned: no results = no charge.

### Use cases

Event-driven trading signals (8-K alerts) · due diligence · insider trading monitoring (Form 4) · compliance & risk keyword monitoring · feeding LLM / RAG pipelines with filings.

### Input examples

```json
{ "companies": ["AAPL", "NVDA"], "formTypes": ["10-K", "10-Q"], "lastDays": 365 }
```

```json
{ "searchQuery": "\"material weakness\"", "formTypes": ["10-K"], "dateFrom": "2026-01-01", "maxResults": 500 }
```

### Output example

```json
{ "cik": "0000320193", "companyName": "Apple Inc.", "ticker": "AAPL", "form": "10-Q", "filingDate": "2026-08-01", "reportDate": "2026-06-27", "accessionNumber": "0000320193-26-000071", "documentUrl": "https://www.sec.gov/Archives/edgar/data/320193/.../aapl-20260627.htm", "filingIndexUrl": "https://www.sec.gov/Archives/edgar/data/320193/.../0000320193-26-000071-index.htm", "items": null, "sic": "3571" }
```

### Pricing

Pay-per-event: **$1.00 per 1,000 filings** + $0.005 per run (only when results exist).

### Use with AI agents (MCP)

This Actor works as a tool for AI agents through the [Apify MCP server](https://mcp.apify.com). Add it to Claude (Desktop/Code), ChatGPT, Cursor, VS Code or any MCP client with this URL:

`https://mcp.apify.com/?tools=datadesk-io/sec-edgar-filings`

Sign in with your Apify account (OAuth) or pass your API token. The agent sees the input schema, runs the Actor and reads the dataset; every input field is optional and every output field is documented.

**What goes in → what comes out:** Input: tickers/CIKs, a full-text search query, or form types (8-K, 10-K, 10-Q) for market-wide latest filings. Output: one JSON row per SEC EDGAR filing: company, form, filing/report dates, 8-K items, document and index URLs. Official SEC APIs.

**Example prompt:**

> Get the latest 8-K filings for AAPL, TSLA and NVDA and tell me what each one is about.

# Actor input Schema

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

e.g. AAPL, TSLA, 789019. Empty = market-wide search.

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

EDGAR full-text search (2001+). Use quotes for phrases, e.g. "going concern" or "artificial intelligence".

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

e.g. 10-K, 10-Q, 8-K, S-1, 4, 13F-HR, DEF 14A. Empty = all (or 8-K for the market-wide default).

## `lastDays` (type: `integer`):

Only filings from the last N days. 0 = no limit.

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

Optional start date.

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

Optional end date.

## `maxResults` (type: `integer`):

Up to 10,000 for search; company mode returns the most recent ~1,000 filings.

## Actor input object example

```json
{
  "companies": [
    "AAPL",
    "TSLA"
  ],
  "formTypes": [
    "10-K",
    "10-Q",
    "8-K"
  ],
  "lastDays": 0,
  "maxResults": 100
}
```

# Actor output Schema

## `overview` (type: `string`):

All filings (overview view). Each item: cik, companyName, ticker, form, filingDate, reportDate, accessionNumber, primaryDocument, description, documentUrl, filingIndexUrl, acceptedAt.

# 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"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datadesk-io/sec-edgar-filings").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",
    ],
}

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

```

## MCP server setup

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

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/1lKJuus7gIQoftBWI/builds/3u6i1r3vsbWjVANxu/openapi.json