# American Airlines On-Time Performance Q1 2024

**Use case:** 

Gather comprehensive on-time performance statistics, including delay causes and cancellation rates for American Airlines in Q1 2024. Use this data for in-depth 

## Input

```json
{
  "mode": "carrierMonthSummary",
  "carrier": "AA",
  "year": "2024",
  "month": "1",
  "maxItems": 20
}
```

## Output

```json
{
  "carrierCode": {
    "label": "Carrier code"
  },
  "carrierName": {
    "label": "Carrier name"
  },
  "originAirport": {
    "label": "Origin airport"
  },
  "destAirport": {
    "label": "Dest airport"
  },
  "year": {
    "label": "Year"
  },
  "monthName": {
    "label": "Month name"
  },
  "totalFlights": {
    "label": "Total flights"
  },
  "onTimeRate": {
    "label": "On time rate"
  },
  "cancellationRate": {
    "label": "Cancellation rate"
  }
}
```

## About this Actor

This example demonstrates how to use [BTS Airline On-Time Performance Scraper](https://apify.com/crawlerbros/bts-airline-on-time-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlerbros/bts-airline-on-time-scraper) to learn more, explore other use cases, and run it yourself.


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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/bts-airline-on-time-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).
