# SEC Form 4 Monitor — Insider Trading Filings Tracker (`eschalon/sec-form4-monitor`) Actor

Track new SEC Form 4 insider-trading filings from official EDGAR daily indexes — company, CIK, ticker, filing date, and direct EDGAR links. Filter by ticker or CIK.

- **URL**: https://apify.com/eschalon/sec-form4-monitor.md
- **Developed by:** [Corey Kuwanoe](https://apify.com/eschalon) (community)
- **Categories:** Business, News
- **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 Form 4 Monitor — Insider Trading Filings

Track **new SEC Form 4 filings** (statements of changes in beneficial ownership — the form corporate insiders file when they buy or sell their company's stock) straight from EDGAR's official daily indexes.

Insider activity is one of the most-watched signals in equity research. This actor gives you the raw feed, filterable by ticker or CIK, within a day of filing.

### Who uses this

- **Traders & quant researchers** — insider buy/sell flow as a signal input
- **Finance newsletters & media** — daily insider-activity roundups
- **Compliance teams** — monitor filings for specific issuers
- **Data platforms** — cheap structured feed of Form 4 activity

### What you get

One dataset row per filing:

| Field | Example |
|---|---|
| `form_type` | `4` (or `4/A` if amendments enabled) |
| `company` | `Apple Inc.` |
| `cik` | `320193` |
| `ticker` | `AAPL` (mapped from SEC's official ticker file) |
| `filed_date` | `2026-07-02` |
| `filing_url` | Direct link to the filing on sec.gov |
| `filing_index_url` | Filing index page with all documents |

### Input

- **sinceDays** — calendar-day look-back (default 3; weekends/holidays skipped automatically)
- **tickers** — optional ticker filter (e.g. `["AAPL", "TSLA"]`)
- **ciks** — optional CIK filter
- **includeAmendments** — include Form 4/A (default false)
- **maxItems** — cap on results
- **userAgent** — SEC fair-access policy asks for a descriptive User-Agent with contact info; set yours

### Typical setups

- **Daily insider feed**: schedule daily, `sinceDays: 1`, export to Sheets/Slack/webhook via Apify integrations.
- **Watchlist alerts**: `tickers: ["NVDA", "AMD", "AVGO"]`, schedule hourly near market close.
- **Research backfill**: `sinceDays: 30`, `maxItems: 50000`.

### Data source & legality

Official SEC EDGAR daily index files and the SEC's public company-ticker mapping. Public-record US government data; no scraping of third-party sites, no ToS issues.

# Actor input Schema

## `sinceDays` (type: `integer`):

Scan EDGAR daily indexes for this many calendar days back (weekends/holidays are skipped automatically).

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

Optional stock tickers to filter by (e.g. AAPL, TSLA). Leave empty for all filers.

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

Optional SEC CIK numbers to filter by. Leave empty for all filers.

## `includeAmendments` (type: `boolean`):

Also include amended filings (Form 4/A).

## `maxItems` (type: `integer`):

Stop after this many filings.

## `userAgent` (type: `string`):

SEC fair-access policy requires a descriptive User-Agent with contact info, e.g. 'YourCompany yourname@example.com'.

## Actor input object example

```json
{
  "sinceDays": 3,
  "includeAmendments": false,
  "maxItems": 1000,
  "userAgent": "ApifyActor sec-form4-monitor (operator contact via Apify)"
}
```

# 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("eschalon/sec-form4-monitor").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("eschalon/sec-form4-monitor").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 eschalon/sec-form4-monitor --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=eschalon/sec-form4-monitor",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/5IdepfoqNe3ESu0oT/builds/MXh2Rq8eQoB4mvpCh/openapi.json