# Sec Edgar Insider Trading (`jovian_zabra_nk5/sec-edgar-insider-trading`) Actor

Recent insider buys/sells from SEC Form 4 filings via the official EDGAR full-text search API: who filed, for which company, when, with direct filing links. Filter by ticker/CIK or scan the whole market (~500-1,500 filings/day). No login, no API key.

- **URL**: https://apify.com/jovian_zabra_nk5/sec-edgar-insider-trading.md
- **Developed by:** [dev bro](https://apify.com/jovian_zabra_nk5) (community)
- **Categories:** Business
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$1.50 / 1,000 result items

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 Insider Trading (Form 4) — Free Official API

Recent insider buys/sells from SEC **Form 4** filings, via the official EDGAR full-text search API (`efts.sec.gov`). **No login, no API key, no proxy.**

### What you get

One dataset record per Form 4 filing:

- **Issuer**: company name, CIK, SIC industry code
- **Insiders**: reporting owner names + CIKs (officers, directors, 10% holders)
- **Dates**: filed date, transaction period ending
- **Trace**: accession number + direct EDGAR filing URL (open the actual XML/HTML form)

### Use cases

- **Insider flow monitoring**: daily scan of who filed Form 4 market-wide (~500–1,500/day)
- **Single-company watch**: `ticker=AAPL` → only Apple insider filings
- **Research feeds**: pipe filings into alerts, dashboards, or LLM analysis (filing URL included so agents can fetch details)
- **Compliance tracking**: monitor insiders of a portfolio or watchlist

### Input

| Field | Description |
|---|---|
| `daysBack` | Window of recent filings, 1–30 days (default 3) |
| `ticker` | Optional ticker filter (resolved to CIK via SEC's official ticker file) |
| `issuerCik` | Optional issuer CIK filter (priority over ticker) |
| `maxResults` | Cap records (default 200) |

### Notes

- This actor returns **filing-level records** (who/when/where). Transaction amounts (shares, price, buy vs sell) live inside each filing document — the `filingUrl` points straight at it for detail extraction.
- EDGAR full-text search covers 2001→today.
- Polite pacing (0.3 s/page) + retry/backoff on 429/5xx; EDGAR fair-access limit is 10 req/s.

**MCP/agent-friendly**: flat JSON, stable field names, `null` for missing.

# Actor input Schema

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

How many days of recent Form 4 filings to scan (1-30). ~500-1,500 insider filings per day across all US companies.

## `ticker` (type: `string`):

Optional: only insider filings for this US-listed ticker (resolved to CIK via SEC's official ticker file). Empty = all companies.

## `issuerCik` (type: `string`):

Optional: only insider filings for this issuer CIK (takes priority over ticker).

## `maxResults` (type: `integer`):

Maximum number of filing records returned.

## Actor input object example

```json
{
  "daysBack": 3,
  "maxResults": 200
}
```

# Actor output Schema

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

One record per Form 4 filing: issuer name/CIK/SIC, reporting owner names/CIKs, filed date, period ending, accession number, filing URL.

# 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 = {
    "daysBack": 3,
    "ticker": "",
    "issuerCik": "",
    "maxResults": 200
};

// Run the Actor and wait for it to finish
const run = await client.actor("jovian_zabra_nk5/sec-edgar-insider-trading").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 = {
    "daysBack": 3,
    "ticker": "",
    "issuerCik": "",
    "maxResults": 200,
}

# Run the Actor and wait for it to finish
run = client.actor("jovian_zabra_nk5/sec-edgar-insider-trading").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 '{
  "daysBack": 3,
  "ticker": "",
  "issuerCik": "",
  "maxResults": 200
}' |
apify call jovian_zabra_nk5/sec-edgar-insider-trading --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,jovian_zabra_nk5/sec-edgar-insider-trading"
        }
    }
}
```

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/1OvI8Kp0WPcOtFxem/builds/qw5Zg8DRG2IxB0jZd/openapi.json