# Find NAP inconsistencies in location data

**Use case:** 

Sample local-business datasets for name, address, and phone completeness, duplicate clusters, formatting, and website signals.

## Input

```json
{
  "items": [
    {
      "name": "Sample Cafe",
      "address": "1 Main Street",
      "phone": "+1 555 111 2222",
      "website": "https://example.com",
      "openingHours": "Mon-Fri 09:00-17:00"
    },
    {
      "name": "Sample Cafe",
      "address": "1 Main Street",
      "phone": "bad",
      "website": "not-a-url",
      "openingHours": "unknown"
    }
  ],
  "sampleLimit": 200,
  "websiteCheckLimit": 0,
  "countryHint": "US"
}
```

## Output

```json
{
  "product": {
    "label": "Product",
    "format": "string"
  },
  "checkId": {
    "label": "Check id",
    "format": "string"
  },
  "severity": {
    "label": "Severity",
    "format": "string"
  },
  "summary": {
    "label": "Summary",
    "format": "string"
  },
  "subjectId": {
    "label": "Subject id",
    "format": "string"
  },
  "generatedAt": {
    "label": "Generated at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Local Business NAP Consistency QA](https://apify.com/checksmithcats/local-business-nap-consistency-qa) with a specific input configuration. Visit the [Actor detail page](https://apify.com/checksmithcats/local-business-nap-consistency-qa) 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/checksmithcats/local-business-nap-consistency-qa.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).