# Analyze Sushi Restaurant Scores in Lower Manhattan

**Use case:** 

Scrape inspection scores for sushi restaurants in a specific Lower Manhattan ZIP code to benchmark performance or identify top-tier establishments. This task he

## Input

```json
{
  "mode": "search",
  "searchQuery": "Sushi",
  "camisIds": [],
  "borough": "Manhattan",
  "cuisineDescription": "Japanese",
  "grade": "",
  "criticalFlag": "",
  "actionType": "",
  "inspectionType": "",
  "inspectionDateFrom": "2023-07-01",
  "zipcode": "10013",
  "nearRadiusMeters": 500,
  "sortBy": "scoreAsc",
  "maxItems": 50
}
```

## Output

```json
{
  "dba": {
    "label": "Dba"
  },
  "boro": {
    "label": "Boro"
  },
  "cuisineDescription": {
    "label": "Cuisine description"
  },
  "grade": {
    "label": "Grade"
  },
  "inspectionDate": {
    "label": "Inspection date"
  },
  "score": {
    "label": "Score"
  },
  "sourceUrl": {
    "label": "Source url"
  }
}
```

## About this Actor

This example demonstrates how to use [NYC Restaurant Inspection Scraper](https://apify.com/crawlerbros/nyc-restaurant-inspection-scraper) with a specific input configuration. Visit the [Actor detail page](https://apify.com/crawlerbros/nyc-restaurant-inspection-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/nyc-restaurant-inspection-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).