# 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
- **Features:** Limited permissions
- **Stats:** 3 total users, 2 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/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 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(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 '{
  "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": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,hichemdev/sec-edgar-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/7gi1Ye7chGCqS5g37/builds/BaiazVF1C9SolT9xi/openapi.json