# SEC EDGAR Recent Filings (`aschere/sec-edgar-recent-filings`) Actor

Resolve tickers/CIKs via SEC company_tickers.json and emit recent EDGAR filing rows with optional form and since filters.

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

## Pricing

from $3.00 / 1,000 successful filing rows

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 Recent Filings

Thin Apify Actor: resolve tickers/CIKs via SEC’s public `company_tickers.json`, pull `filings.recent` from `data.sec.gov/submissions`, optionally filter by form / since date, and emit structured filing rows with archive URLs.

**Data source:** U.S. Securities and Exchange Commission (SEC) public EDGAR data.\
Users must follow [SEC fair access](https://www.sec.gov/os/accessing-edgar-data) (identifying User-Agent, polite rate limits). This Actor sends:

`User-Agent: AschereSECFilings/0.1 (contact: 2254928244@qq.com)`

### Input

| Field | Type | Notes |
|---|---|---|
| `tickers` | string\[] | Optional if `ciks` set. Case-insensitive. |
| `ciks` | string\[] | Optional if `tickers` set. Leading zeros OK. |
| `forms` | string\[] | Optional exact form filter (`8-K`, `10-K`, `10-Q`, `4`, `D`, …). |
| `since` | string | Optional `YYYY-MM-DD`; keep `filingDate >= since`. |
| `maxFilingsPerCompany` | integer | Default 25 (max 200). |

### Output (dataset row)

`ticker`, `cik`, `company`, `form`, `filingDate`, `accessionNumber`, `primaryDocument`, `secUrl`, plus `status` (`ok` | `unresolved`) and `note` for explainable empty/error rows. Does **not** download full filing PDFs.

`secUrl` example:

`https://www.sec.gov/Archives/edgar/data/{cikNoZeros}/{accessionNoDashes}/{primaryDocument}`

### Pricing (draft only)

Pay-per-event `filing-row` ≈ **$0.003** per successful filing row. Unresolved tickers / empty filters / failures are free. See `pricing.example.json` — **not** applied to Console in this build.

### Local

```sh
npm ci && npm test && npm run build && npm run verify
```

No browser, login, proxy, or Unblocker. Not published in this sprint.

# Actor input Schema

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

Stock tickers resolved via SEC company_tickers.json (case-insensitive).

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

SEC Central Index Keys (numeric, leading zeros optional). Merged with tickers by unique CIK.

## `forms` (type: `array`):

Optional exact form types to keep (case-insensitive), e.g. 8-K, 10-K, 10-Q, 4, D. Empty = all forms.

## `since` (type: `string`):

Optional YYYY-MM-DD; keep filings with filingDate >= since.

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

After filters, take the newest N filings per company from filings.recent.

## Actor input object example

```json
{
  "tickers": [
    "AAPL",
    "MSFT"
  ],
  "maxFilingsPerCompany": 25
}
```

# Actor output Schema

## `items` (type: `string`):

No description

## `summary` (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",
        "MSFT"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("aschere/sec-edgar-recent-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 = { "tickers": [
        "AAPL",
        "MSFT",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("aschere/sec-edgar-recent-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 '{
  "tickers": [
    "AAPL",
    "MSFT"
  ]
}' |
apify call aschere/sec-edgar-recent-filings --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,aschere/sec-edgar-recent-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/R0DgA6sy0rNf6dZ1K/builds/Q1jUwtZpKPjzvMRCi/openapi.json