# Find Large Insider Trades on a Specific Date

**Use case:** 

Identify all insider transactions above a significant value threshold that occurred on a particular day, providing a snapshot of concentrated activity. This is 

## Input

```json
{
  "mode": "screener",
  "transactionTypeMode": "all",
  "transactionType": "",
  "dateRangeFrom": "2024-06-15",
  "dateRangeTo": "2024-06-15",
  "minTotalValue": 500000,
  "maxItems": 100
}
```

## Output

```json
{
  "ticker": {
    "label": "Ticker"
  },
  "companyName": {
    "label": "Company name"
  },
  "insiderName": {
    "label": "Insider name"
  },
  "insiderTitle": {
    "label": "Insider title"
  },
  "transactionType": {
    "label": "Transaction type"
  },
  "sharesTraded": {
    "label": "Shares traded"
  },
  "price": {
    "label": "Price"
  },
  "totalValue": {
    "label": "Total value"
  },
  "tradeDate": {
    "label": "Trade date"
  },
  "secFilingUrl": {
    "label": "Sec filing url"
  }
}
```

## About this Actor

This example demonstrates how to use [OpenInsider Scraper](https://apify.com/crawlerbros/open-insider-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlerbros/open-insider-scraper) to learn more, explore other use cases, and run it yourself.


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If asked about integration, you help developers integrate Actors into their projects.
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This Task's input is already configured above — use it as-is rather than inventing a new one.

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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/crawlerbros/open-insider-scraper.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).