# SEC Insider Monitor — Form 4 insider trading tracker (`agent_muse/sec-insider-monitor`) Actor

Track insider buying and selling at US public companies, straight from SEC EDGAR Form 4 filings. Follow any tickers — see who traded, how many shares, at what price and the total dollar value, with links to the official filing. No API key needed.

- **URL**: https://apify.com/agent\_muse/sec-insider-monitor.md
- **Developed by:** [John Israel Lofamia](https://apify.com/agent_muse) (community)
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.00 / 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 Insider Monitor

Track insider buying and selling on SEC EDGAR. For any US tickers (or CIKs),
the actor fetches recent **Form 4** filings and extracts every insider
transaction: insider name and role (director / officer / 10% owner),
transaction date, buy/sell type, shares, price per share, total value, and a
link to the official filing.

Data source: SEC EDGAR public APIs (keyless, no registration) —
`sec.gov/files/company_tickers.json` for ticker→CIK mapping and
`data.sec.gov/submissions/CIK##########.json` for filing indexes, with the
raw Form 4 `ownershipDocument` XML for transaction details. Requests use a
descriptive User-Agent and stay well under the SEC's 10 req/s fair-access
ceiling.

Schedule it daily for insider-activity alerts on the stocks you follow.

# Actor input Schema

## `daysBack` (type: `integer`):

Only include filings made within this many days.

## `includeDerivatives` (type: `boolean`):

Also include derivative-table transactions (options, RSUs). Off by default.

## `maxFilingsPerIssuer` (type: `integer`):

Maximum Form 4 filings to parse per ticker (newest first).

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

US stock tickers (e.g. AAPL, NVDA) or 10-digit SEC CIKs to monitor for Form 4 insider filings.

## `transactionTypes` (type: `array`):

Filter to Form 4 transaction codes: P = open-market purchase, S = open-market sale, A = grant/award, M = option exercise, G = gift, F = tax withholding. Leave empty for all types.

## Actor input object example

```json
{
  "daysBack": 30,
  "includeDerivatives": false,
  "maxFilingsPerIssuer": 10,
  "tickers": [
    "AAPL",
    "NVDA",
    "MSFT",
    "TSLA",
    "AMZN"
  ],
  "transactionTypes": [
    "P",
    "S"
  ]
}
```

# Actor output Schema

## `results` (type: `string`):

Link to the dataset with all insider transactions (insider, issuer, buy/sell, shares, value, filing links).

# 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",
        "NVDA",
        "MSFT",
        "TSLA",
        "AMZN"
    ],
    "transactionTypes": [
        "P",
        "S"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("agent_muse/sec-insider-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 = {
    "tickers": [
        "AAPL",
        "NVDA",
        "MSFT",
        "TSLA",
        "AMZN",
    ],
    "transactionTypes": [
        "P",
        "S",
    ],
}

# Run the Actor and wait for it to finish
run = client.actor("agent_muse/sec-insider-monitor").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",
    "NVDA",
    "MSFT",
    "TSLA",
    "AMZN"
  ],
  "transactionTypes": [
    "P",
    "S"
  ]
}' |
apify call agent_muse/sec-insider-monitor --silent --output-dataset

```

## MCP server setup

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

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/pvcccRW41etmeqYRN/builds/xAgYQdIpiAkpuU3EM/openapi.json