# SEC Insider Trading Tracker (`zaden/sec-insider-trading-tracker`) Actor

Track SEC Form 4 insider buy/sell transactions for any stock watchlist, straight from EDGAR. Flags notable trades and cluster insider-buying signals other tools miss.

- **URL**: https://apify.com/zaden/sec-insider-trading-tracker.md
- **Developed by:** [Zaden](https://apify.com/zaden) (community)
- **Categories:** Other, Automation, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$20.00 / 1,000 ticker scanneds

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?

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 Insider Trading Tracker

Track SEC Form 4 insider buy/sell transactions for any stock watchlist — pulled directly from SEC EDGAR, no third-party data broker in between.

### What you get

For every ticker you watch, this Actor pulls all Form 4 filings reported within your lookback window and returns a clean row per transaction:

- Insider name, title, and relationship (director / officer / 10%+ owner)
- Transaction date, SEC transaction code (P = open-market buy, S = sale, A = award/grant, etc.)
- Shares traded, price per share, and total transaction value
- Shares owned after the transaction
- A **notable** flag for trades above a value threshold you set
- A **cluster buy signal** flagging when 2+ different insiders bought on the open market for the same ticker within your window — often a stronger signal than any single trade

### Why this instead of a screener site

Most "insider trading" sites republish EDGAR data behind a paywall or a delay. This Actor reads straight from `data.sec.gov`, so you get the same data SEC itself publishes, on your own schedule, exportable as JSON/CSV/Excel, and pipeable into your own alerts, spreadsheets, or trading research.

### Who this is for

Retail investors and researchers who want a lightweight insider-activity signal for a watchlist, without paying for a dedicated insider-trading terminal. Also useful as a scheduled daily/weekly check feeding a Slack or email digest.

### How to use it

1. Add the ticker symbols you want to watch (e.g. `AAPL`, `TSLA`, `MSFT`).
2. Set your lookback window (default 14 days) and notable-transaction threshold (default $50,000).
3. Run it. Each ticker is checked against its real SEC CIK and all matching Form 4 filings in the window are parsed.
4. Schedule it daily/weekly on Apify to build a running insider-activity log.

### Example output

```json
{
  "ticker": "AAPL",
  "issuerName": "Apple Inc.",
  "reportingOwnerName": "COOK TIMOTHY D",
  "isOfficer": true,
  "officerTitle": "Chief Executive Officer",
  "transactionDate": "2026-08-18",
  "transactionCode": "S",
  "acquiredDisposed": "D",
  "shares": 50000,
  "pricePerShare": 231.42,
  "transactionValue": 11571000,
  "isNotable": true,
  "clusterBuySignal": false
}
```

### Pricing

Pay-per-event: **$0.02 per ticker scanned**, charged once per ticker regardless of how many transactions are found. Checking 10 tickers costs $0.20.

### FAQ

**Does this need SEC login or an API key?** No. SEC EDGAR's data endpoints are public.

**How far back can I look?** Up to 90 days per run. For longer history, run it with a wider window or schedule it to accumulate a dataset over time.

**What if a ticker has no insider activity in my window?** You still get one row confirming it was checked, so you can tell "no activity" apart from "not checked."

# Actor input Schema

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

Stock ticker symbols to check for recent insider (Form 4) transactions, e.g. AAPL, TSLA, MSFT.

## `lookbackDays` (type: `integer`):

Only include Form 4 filings reported within this many days.

## `minNotableValue` (type: `integer`):

Transactions worth at least this much (shares x price) are flagged as 'notable'.

## `maxFilingsPerTicker` (type: `integer`):

Upper limit on how many recent Form 4 filings to fetch and parse per ticker (bounds run time/cost for very active tickers).

## Actor input object example

```json
{
  "tickers": [
    "AAPL",
    "TSLA"
  ],
  "lookbackDays": 14,
  "minNotableValue": 50000,
  "maxFilingsPerTicker": 15
}
```

# Actor output Schema

## `results` (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",
        "TSLA"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("zaden/sec-insider-trading-tracker").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",
        "TSLA",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("zaden/sec-insider-trading-tracker").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",
    "TSLA"
  ]
}' |
apify call zaden/sec-insider-trading-tracker --silent --output-dataset

```

## MCP server setup

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

```

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/8TR4sWlA3ck1Vxf5M/builds/2D96SJSURXuQ6kQk4/openapi.json