# SEC EDGAR US Company Filings & Financial Facts Scraper (`dromb/sec-edgar-us`) Actor

Search SEC EDGAR companies, browse by exchange, and extract company profiles with recent filings and XBRL financial facts.

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

## Pricing

from $0.20 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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 EDGAR US Company Filings & Financial Facts Scraper

Detailed scraper for the US Securities and Exchange Commission (SEC) EDGAR system. This actor allows you to discover public companies, browse them by exchange, and extract detailed company profiles including recent filings and key XBRL financial facts.

Use it for due diligence, compliance research, filing monitoring, company enrichment, exchange mapping, and investment data pipelines. An empty input returns a one-row capability probe; use the Saved Tasks for buyer-ready company and exchange workflows.

This actor is unofficial and is not affiliated with, endorsed by, or sponsored by the US Securities and Exchange Commission.

### Endpoints

#### Search

**Description:** Searches SEC company records by company name, ticker, or keyword and returns matching companies.
**Why you need it:** You often know a company name or ticker but need the correct SEC identifiers (CIK) and structured company metadata before pulling filings or financial facts.
**Example use:** Search for "Apple" or "Apple Hospitality".
**Customer value:** Useful for company discovery, ticker enrichment, lead lists, compliance research, investment screening, and building datasets of public companies.

#### Category / Categories

**Description:** Lists or browses companies by category-like grouping, such as exchange or available company collections.
**Why you need it:** You may not want to search one company at a time. You may need to browse a segment of companies and build a structured dataset from a known group.
**Example use:** Browse companies listed on Nasdaq (use `category_id: "exchange:Nasdaq"`).
**Customer value:** Useful for market mapping, exchange-based datasets, bulk enrichment workflows, and discovering companies without manually preparing search queries.

#### Item / Detail

**Description:** Fetches a detailed SEC company profile by ticker, CIK, or company identifier, including filings and financial facts where available.
**Why you need it:** This is the high-value endpoint. Use it when you need full company-level SEC data, not just a search result.
**Example use:** Get details for `ticker: "AAPL"` or `cik: "0000320193"`.
**Customer value:** Useful for due diligence, compliance checks, financial research, company intelligence, and automated enrichment of internal company databases.

### Input Schema

- `query`: Search term (Name, Ticker, CIK).
- `exchange`: Filter results by exchange (e.g., Nasdaq, NYSE).
- `category_id`: Browse by category (e.g., `exchange:Nasdaq`).
- `cik`: Specific 10-digit CIK for detailed profile.
- `ticker`: Specific ticker symbol for detailed profile.
- `item_id`: Alias for CIK or Ticker.
- `filings_limit`: Number of recent filings to return (default: 20).
- `include_facts`: Include summary XBRL financial facts (default: true).
- `page`: Results page (default: 1).
- `limit`: Results per page (default: 25).

### Example Inputs

Probe:

```json
{}
```

Exact ticker lookup:

```json
{
  "query": "AAPL",
  "limit": 5
}
```

Search for Apple:

```json
{
  "query": "Apple",
  "limit": 5
}
```

Browse Nasdaq:

```json
{
  "category_id": "exchange:Nasdaq",
  "limit": 25
}
```

Get Apple Inc. details:

```json
{
  "ticker": "AAPL",
  "filings_limit": 10,
  "include_facts": true
}
```

### Output Fields

Search and category records include `id`, `item_id`, `cik`, `ticker`, `name`, `exchange`, `category_id`, `source_url`, and `source`.

Item detail records additionally include company metadata, mailing and business addresses, recent filings with direct SEC archive URLs, filing metadata, selected `facts_summary` financial metrics, and source URLs for SEC submissions, company facts, and profile pages.

### Limitations

- The actor depends on the official SEC.gov API.
- Rate limits are handled by the SEC's User-Agent requirements; however, extremely high concurrency may still be subject to SEC's fairness policy.
- Financial facts are extracted from the most recent available XBRL filings and may vary based on the company's reporting standard.
- Exact ticker or CIK queries are the safest identity lookup. Company-name searches can match multiple legal entities.
- Each financial fact includes provenance such as concept, filing date, fiscal year, fiscal period, and form. Metrics may represent different annual or quarterly periods, so downstream comparisons must inspect those fields rather than comparing values blindly.

### Buyer-ready Saved Tasks

- **Apple SEC Filings & XBRL Due Diligence** — detailed Apple profile, five recent filings, and financial facts.
- **Tesla SEC Filings & XBRL Due Diligence** — detailed Tesla profile for repeatable research.
- **Nasdaq Company Universe Mapper** — bounded exchange listing used to build company datasets and discover CIKs.

# Actor input Schema

## `query` (type: `string`):

Company name, ticker, or CIK to search for.

## `exchange` (type: `string`):

Optional exact exchange filter (e.g., Nasdaq, NYSE).

## `category_id` (type: `string`):

Exchange category ID (e.g., exchange:Nasdaq) for browsing.

## `cik` (type: `string`):

Specific 10-digit CIK for detailed profile extraction.

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

Specific ticker symbol for detailed profile extraction.

## `item_id` (type: `string`):

Alias of CIK or Ticker for detailed profile extraction.

## `filings_limit` (type: `integer`):

Number of recent filings to return.

## `include_facts` (type: `boolean`):

Include summary XBRL financial facts.

## `page` (type: `integer`):

1-based results page.

## `limit` (type: `integer`):

Number of results per page.

## Actor input object example

```json
{
  "filings_limit": 20,
  "include_facts": true,
  "page": 1,
  "limit": 5
}
```

# Actor output Schema

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

Company metadata, company listing, or detailed profile dataset items.

# 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("dromb/sec-edgar-us").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("dromb/sec-edgar-us").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
for item in client.dataset(run["defaultDatasetId"]).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 dromb/sec-edgar-us --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=dromb/sec-edgar-us",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/kqrwjOpjkVARMFGSw/builds/0HxvRRe3BwbRajr03/openapi.json