# SEC EDGAR Extractor – Filings & Financials (`hichemdev/sec-edgar-extractor`) Actor

Extract SEC filings (10-K, 10-Q, 8-K and more) and XBRL financials - revenue, net income, assets and any US-GAAP concept - for any US public company by ticker or CIK. Powered by the free official SEC EDGAR API: fast, structured, and never blocked.

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

## Pricing

from $2.00 / 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.

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 Extractor – Filings & Financials 📊

**Pull SEC filings and XBRL financials for any US public company** by ticker or CIK — straight from the free official **SEC EDGAR** API. Reliable, fast, structured, and never blocked. Skip the expensive financial-data vendors.

### 🔎 Modes

- **`filings`** — list a company's filings (**10-K, 10-Q, 8-K, S-1**, and more) with dates, accession numbers, and direct document links.
- **`financials`** — pull structured **XBRL** figures (**revenue, net income, assets, liabilities, equity** — any US-GAAP concept) with the reporting period for each data point.

### 🎯 Use cases

- **Quant & algo traders** — build fundamentals datasets and event feeds from filings.
- **Alternative-data teams** — turn EDGAR into a clean, machine-readable API.
- **Investors & analysts** — pull revenue/earnings history for any ticker in seconds.
- **Fintech builders** — power dashboards and screeners with authoritative source data.
- **Journalists & researchers** — track disclosures across companies at scale.

### 📥 Input

- `mode` — `filings` or `financials`.
- `tickers` — e.g. `AAPL`, `MSFT` (auto-resolved to CIK).
- `ciks` — optional, if you already have CIK numbers.
- `formTypes` — filter for `filings` mode (e.g. `10-K`, `8-K`). Empty = all.
- `maxFilingsPerCompany` — cap per company.
- `concepts` — US-GAAP concept names for `financials` mode.
- `maxDataPointsPerConcept` — how many recent periods per concept.
- `contactEmail` — used in the SEC-required User-Agent header (use your own email).

### 📤 Output (filings)

```json
{
  "company": "Apple Inc.",
  "cik": "0000320193",
  "ticker": "AAPL",
  "form": "10-K",
  "filingDate": "2025-10-31",
  "reportDate": "2025-09-27",
  "accessionNumber": "0000320193-25-000079",
  "primaryDocument": "aapl-20250927.htm",
  "filingUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019325000079/aapl-20250927.htm"
}
```

### 📤 Output (financials)

```json
{
  "company": "Apple Inc.",
  "cik": "0000320193",
  "concept": "Revenues",
  "unit": "USD",
  "value": 391035000000,
  "periodEnd": "2025-09-27",
  "fiscalYear": 2025,
  "fiscalPeriod": "FY",
  "form": "10-K"
}
```

### 🔌 Integrations & scheduling

- **Schedule** it to capture new filings as they're published (great for event-driven strategies).
- Export to **CSV, Excel, JSON, or Google Sheets**, or pull via the Apify API.
- Feed structured financials straight into a model, spreadsheet, or database.

### ❓ FAQ

**Is this official / legal?** Yes — it uses the SEC's own public EDGAR endpoints (`data.sec.gov`, `www.sec.gov`), which are free and intended for programmatic access.

**Why do I set a contact email?** The SEC asks for a contact email in the request User-Agent. Set `contactEmail` to your own for uninterrupted access.

**How is it priced?** Pay per result — per filing or per financial data point returned. No subscription.

### 🗺️ Roadmap

- Full-text filing search
- Insider transactions (Form 4) parsing
- New-filing alerts (since last run)

# Actor input Schema

## `mode` (type: `string`):

"filings" lists a company's SEC filings. "financials" pulls XBRL financial figures.

## `tickers` (type: `array`):

Stock tickers, e.g. AAPL, MSFT, TSLA.

## `ciks` (type: `array`):

SEC CIK numbers, if you prefer them over tickers.

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

Filter filings by form type. Leave empty for all forms.

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

Maximum number of filings to return per company (filings mode).

## `concepts` (type: `array`):

US-GAAP XBRL concept names to pull.

## `maxDataPointsPerConcept` (type: `integer`):

Maximum number of recent data points to return per financial concept (financials mode).

## `contactEmail` (type: `string`):

The SEC requires a contact email in the request User-Agent. Use your email for uninterrupted access.

## Actor input object example

```json
{
  "mode": "filings",
  "tickers": [
    "AAPL"
  ],
  "formTypes": [
    "10-K",
    "10-Q",
    "8-K"
  ],
  "maxFilingsPerCompany": 20,
  "concepts": [
    "Revenues",
    "NetIncomeLoss",
    "Assets",
    "Liabilities",
    "StockholdersEquity"
  ],
  "maxDataPointsPerConcept": 8,
  "contactEmail": "contact@example.com"
}
```

# 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 = {
    "tickers": [
        "AAPL"
    ],
    "formTypes": [
        "10-K",
        "10-Q",
        "8-K"
    ],
    "concepts": [
        "Revenues",
        "NetIncomeLoss",
        "Assets",
        "Liabilities",
        "StockholdersEquity"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("hichemdev/sec-edgar-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 = {
    "tickers": ["AAPL"],
    "formTypes": [
        "10-K",
        "10-Q",
        "8-K",
    ],
    "concepts": [
        "Revenues",
        "NetIncomeLoss",
        "Assets",
        "Liabilities",
        "StockholdersEquity",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("hichemdev/sec-edgar-extractor").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 '{
  "tickers": [
    "AAPL"
  ],
  "formTypes": [
    "10-K",
    "10-Q",
    "8-K"
  ],
  "concepts": [
    "Revenues",
    "NetIncomeLoss",
    "Assets",
    "Liabilities",
    "StockholdersEquity"
  ]
}' |
apify call hichemdev/sec-edgar-extractor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/7gi1Ye7chGCqS5g37/builds/BaiazVF1C9SolT9xi/openapi.json