# SEC EDGAR Filings & Financials Scraper (`deanko/sec-edgar-scraper`) Actor

Get US SEC EDGAR filings (10-K, 10-Q, 8-K, Form 4, S-1...) and XBRL financials (revenue, net income, assets, EPS...) by ticker or CIK. Official SEC APIs, no API key.

- **URL**: https://apify.com/deanko/sec-edgar-scraper.md
- **Developed by:** [dean ko](https://apify.com/deanko) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $1.00 / 1,000 results

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?

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 filings & XBRL financials

Get US public company filings and key financial metrics straight from the **official SEC EDGAR APIs**. Enter **tickers** (AAPL, MSFT, BRK.B) or **CIK numbers** and get clean, structured data: every filing with form type, dates, accession number and direct document links, plus tidy annual and quarterly financials (revenue, net income, EPS, assets and more) ready for spreadsheets, BI tools or models.

No API key, no proxy, no HTML scraping. The Actor calls SEC's JSON endpoints and respects SEC's fair-access rules (identified User-Agent, max ~8 requests/second).

### What you get

| Item `type` | Source | Content |
|---|---|---|
| `filing` | `data.sec.gov/submissions` | Company name, ticker, CIK, form, filing date, report date, accession number, primary document URL, filing index URL, 8-K items |
| `financial` | `data.sec.gov/api/xbrl/companyfacts` | One row per metric and period: value, unit, fiscal year, fiscal period, form, filed date, period start/end, XBRL tag |

Financial metrics: `Revenues`, `NetIncomeLoss`, `OperatingIncomeLoss`, `Assets`, `Liabilities`, `StockholdersEquity`, `CashAndCashEquivalents`, `EarningsPerShareBasic`, `EarningsPerShareDiluted`.
Revenue falls back across common tags (`Revenues` → `RevenueFromContractWithCustomerExcludingAssessedTax` → `SalesRevenueNet`), so you get one consistent revenue series even when a company changed tags over the years. The `tag` field tells you which one was used.

### Use cases

- **Equity research & screening** — pull revenue, earnings and EPS history for a list of tickers into Excel or Google Sheets
- **Filing alerts** — run daily with Apify Schedules and get every new 8-K, 10-Q or Form 4 for your watchlist
- **Insider trading monitoring** — collect Form 4 filings with direct links to the documents
- **Quant & ML datasets** — tidy, deduplicated fundamentals with period dates, ready for pandas
- **Compliance & due diligence** — full filing history of a company with links to every document
- **IPO tracking** — find S-1 and 424B filings by date range

### Input

| Field | Type | Description |
|---|---|---|
| `tickers` | array | Tickers (`AAPL`, `BRK.B`) or CIKs (`320193`, `0000320193`). Default `["AAPL"]` |
| `formTypes` | array | Form types to keep, e.g. `10-K`, `10-Q`, `8-K`, `4`, `S-1`. Empty = all. Amendments are separate (`10-K/A`) |
| `dateFrom` | string | `YYYY-MM-DD`. Filings filed on/after; financial periods ending on/after |
| `dateTo` | string | `YYYY-MM-DD`. Filings filed on/before; financial periods ending on/before |
| `maxFilingsPerCompany` | integer | Newest-first limit per company (default 20). `0` = financials only |
| `includeFinancials` | boolean | Add XBRL financial rows (default `true`) |
| `contactEmail` | string | Your email for the SEC User-Agent header (optional; SEC asks automated clients to identify themselves) |

```json
{
  "tickers": ["AAPL", "MSFT", "BRK.B"],
  "formTypes": ["10-K", "10-Q", "8-K"],
  "dateFrom": "2024-01-01",
  "maxFilingsPerCompany": 50,
  "includeFinancials": true
}
```

### Output

Filing item:

```json
{
  "type": "filing",
  "ticker": "AAPL",
  "cik": "0000320193",
  "companyName": "Apple Inc.",
  "form": "10-Q",
  "filingDate": "2026-07-31",
  "reportDate": "2026-06-27",
  "acceptanceDateTime": "2026-07-31T14:01:02.000Z",
  "accessionNumber": "0000320193-26-000020",
  "primaryDocument": "aapl-20260627.htm",
  "primaryDocDescription": "10-Q",
  "items": null,
  "primaryDocumentUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000020/aapl-20260627.htm",
  "filingIndexUrl": "https://www.sec.gov/Archives/edgar/data/320193/000032019326000020/0000320193-26-000020-index.htm"
}
```

Financial item:

```json
{
  "type": "financial",
  "ticker": "AAPL",
  "cik": "0000320193",
  "companyName": "Apple Inc.",
  "metric": "Revenues",
  "value": 416161000000,
  "unit": "USD",
  "fiscalYear": 2025,
  "fiscalPeriod": "FY",
  "form": "10-K",
  "filed": "2025-10-31",
  "periodStart": "2024-09-29",
  "periodEnd": "2025-09-27",
  "accessionNumber": "0000320193-25-000079",
  "tag": "RevenueFromContractWithCustomerExcludingAssessedTax"
}
```

Export as JSON, CSV, Excel or via API. The dataset has two views: **Filings** and **Financials**.

### How financials are cleaned

XBRL company facts repeat each value in every later filing as a comparative figure. This Actor keeps **one row per metric and period**, taken from the original report (earliest filing), and only keeps full-year (`FY`) and single-quarter (`Q1`-`Q4`) periods. Six- and nine-month year-to-date values are dropped. Balance-sheet metrics (assets, liabilities, equity, cash) are point-in-time, so `periodStart` is `null`.

### Tips & limitations

- Fiscal Q4 rows only appear when the company reports a separate fourth-quarter value; most report only the full year in the 10-K (Q4 = FY − Q1 − Q2 − Q3).
- Some companies use other XBRL tags for a metric (e.g. banks, insurers, or EPS per Class A share), so a metric can be missing for them.
- Only us-gaap facts are included; foreign filers reporting under IFRS (20-F) may have few or no financial rows.
- `fiscalYear`/`fiscalPeriod` are as reported in the SEC data for that filing.
- Combine with **Schedules** and **Webhooks** for automatic filing alerts.

### Data source & legal

All data is **public information published by the U.S. Securities and Exchange Commission** through its official EDGAR APIs (`sec.gov`, `data.sec.gov`). This Actor is not affiliated with or endorsed by the SEC. It follows SEC's [fair access guidelines](https://www.sec.gov/os/accessing-edgar-data). Financial data is provided as filed by the companies and is not investment advice.

# Actor input Schema

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

Stock tickers (e.g. AAPL, MSFT, BRK.B) or SEC CIK numbers (e.g. 320193 or 0000320193).

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

Only return filings of these form types, e.g. 10-K, 10-Q, 8-K, 4, S-1, DEF 14A. Amendments are separate types (10-K/A). Leave empty for all form types.

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

Only filings filed on or after this date. For financials, only periods ending on or after this date. Leave empty for no lower limit.

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

Only filings filed on or before this date. For financials, only periods ending on or before this date. Leave empty for no upper limit.

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

Stop after this many filings per company (newest first). Set 0 to skip filings and return only financials.

## `includeFinancials` (type: `boolean`):

Also return key annual and quarterly metrics from XBRL company facts as tidy rows: revenue, net income, operating income, assets, liabilities, stockholders' equity, cash, EPS basic/diluted.

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

The SEC asks automated clients to identify themselves with a contact email in the User-Agent header. Optional; a generic no-reply address is used if empty.

## Actor input object example

```json
{
  "tickers": [
    "AAPL"
  ],
  "formTypes": [
    "10-K",
    "10-Q",
    "8-K"
  ],
  "dateFrom": "2024-01-01",
  "dateTo": "",
  "maxFilingsPerCompany": 20,
  "includeFinancials": true,
  "contactEmail": ""
}
```

# Actor output Schema

## `filings` (type: `string`):

No description

## `financials` (type: `string`):

No description

# 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"
    ],
    "dateFrom": "2024-01-01",
    "maxFilingsPerCompany": 20,
    "includeFinancials": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("deanko/sec-edgar-scraper").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",
    ],
    "dateFrom": "2024-01-01",
    "maxFilingsPerCompany": 20,
    "includeFinancials": True,
}

# Run the Actor and wait for it to finish
run = client.actor("deanko/sec-edgar-scraper").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"
  ],
  "dateFrom": "2024-01-01",
  "maxFilingsPerCompany": 20,
  "includeFinancials": true
}' |
apify call deanko/sec-edgar-scraper --silent --output-dataset

```

## MCP server setup

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

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/BPB2EPEIH8z2AXpzz/builds/ovkDKqRfE2v3rdWS6/openapi.json