# Scrape 2025 Luxury Sedan Safety Ratings

**Use case:** 

Extract future-model safety data for luxury sedans to anticipate market trends and competitive positioning. This enables automotive journalists and industry con

## Input

```json
{
  "make": "BMW",
  "model": "3 SERIES",
  "modelYear": 2025,
  "maxItems": 50
}
```

## Output

```json
{
  "vehicleDescription": {
    "label": "Vehicle description"
  },
  "modelYear": {
    "label": "Model year"
  },
  "make": {
    "label": "Make"
  },
  "model": {
    "label": "Model"
  },
  "overallRating": {
    "label": "Overall rating"
  },
  "overallFrontCrashRating": {
    "label": "Overall front crash rating"
  },
  "overallSideCrashRating": {
    "label": "Overall side crash rating"
  },
  "rolloverRating": {
    "label": "Rollover rating"
  },
  "complaintsCount": {
    "label": "Complaints count"
  },
  "recallsCount": {
    "label": "Recalls count"
  }
}
```

## About this Actor

This example demonstrates how to use [NHTSA Vehicle Safety Ratings Scraper](https://apify.com/crawlerbros/nhtsa-vehicle-safety-ratings-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlerbros/nhtsa-vehicle-safety-ratings-scraper) to learn more, explore other use cases, and run it yourself.


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For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/crawlerbros/nhtsa-vehicle-safety-ratings-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).
