# SEC Form 4 open-market insider buys

**Use case:** 

Insider purchases made on the open market with 10b5-1 planned sales filtered out, so discretionary buying is what remains.

## Input

```json
{
  "tickers": [
    "AAPL",
    "NVDA"
  ],
  "openMarketOnly": true,
  "excludePlannedTrades": true,
  "scanAllFilings": false,
  "includeTransactions": true,
  "includeIssuerSummary": true,
  "clusterWindowDays": 30,
  "maxFilingsPerCompany": 100,
  "maxFilingsTotal": 500,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

## Output

```json
{
  "filedFor": {
    "label": "Date",
    "format": "string"
  },
  "ticker": {
    "label": "Ticker",
    "format": "string"
  },
  "issuerName": {
    "label": "Company",
    "format": "string"
  },
  "insiderName": {
    "label": "Insider",
    "format": "string"
  },
  "insiderTitle": {
    "label": "Title",
    "format": "string"
  },
  "seniority": {
    "label": "Seniority",
    "format": "string"
  },
  "openMarketBuyValue": {
    "label": "Bought $",
    "format": "number"
  },
  "openMarketSaleValue": {
    "label": "Sold $",
    "format": "number"
  },
  "largestHoldingsChangePercent": {
    "label": "Holdings %",
    "format": "number"
  },
  "isCompensationOnly": {
    "label": "Comp only",
    "format": "boolean"
  },
  "isPlanned10b5_1": {
    "label": "10b5-1",
    "format": "boolean"
  },
  "exercisedShares": {
    "label": "Exercised",
    "format": "number"
  },
  "taxWithheldShares": {
    "label": "Tax withheld",
    "format": "number"
  },
  "grantedShares": {
    "label": "Granted",
    "format": "number"
  },
  "sharesOwnedAfter": {
    "label": "Holds after",
    "format": "number"
  },
  "sourceUrl": {
    "label": "EDGAR",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [SEC Form 4 Scraper - Insider Trading](https://apify.com/datalayer/insider-trading-form4) with a specific input configuration. Visit the [Actor detail page](https://apify.com/datalayer/insider-trading-form4) to learn more, explore other use cases, and run it yourself.


## 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.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **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 full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/datalayer/insider-trading-form4.md

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).
