# Find the invalid and duplicate numbers in a list

**Use case:** 

Returns only the rows worth fixing: numbers that are not real, numbers stored without a country code, premium-rate and VoIP lines, and the same number entered twice in two different formats. Matching is done on the real number, so 020 7946 0123 and +442079460123 are correctly seen as one contact.

## Input

```json
{
  "data": [
    {
      "name": "Ana Silva",
      "company": "Silva Ltd",
      "phone": "+44 7825 123456"
    },
    {
      "name": "Ben Okafor",
      "company": "Okafor & Co",
      "phone": "0161 496 0123"
    },
    {
      "name": "Cara Lind",
      "company": "Lind Studio",
      "phone": "+1 212 555 0123"
    },
    {
      "name": "Dan Reeves",
      "company": "Reeves Ltd",
      "phone": "+44 900 123 4567"
    },
    {
      "name": "Eve Mbeki",
      "company": "Mbeki Group",
      "phone": "+61 412 345 678"
    },
    {
      "name": "Frank Ortiz",
      "company": "Ortiz SA",
      "phone": "call the office"
    },
    {
      "name": "Gina Haas",
      "company": "Haas Studio",
      "phone": "+44 56 0000 0000"
    },
    {
      "name": "Ana Silva (again)",
      "company": "Silva Ltd",
      "phone": "07825 123456"
    }
  ],
  "fileFormat": "auto",
  "defaultRegion": "GB",
  "flagPremiumRate": true,
  "flagVoip": true,
  "flagNonPersonal": true,
  "markDuplicates": true,
  "lookupRegion": true,
  "lookupCarrier": true,
  "lookupTimezone": true,
  "keep": "problems",
  "exportFormats": []
}
```

## Output

```json
{
  "phone": {
    "label": "Phone (as given)",
    "format": "text"
  },
  "name": {
    "label": "Name",
    "format": "text"
  },
  "company": {
    "label": "Company",
    "format": "text"
  },
  "phoneStatus": {
    "label": "Verdict",
    "format": "text"
  },
  "phoneReason": {
    "label": "Reason",
    "format": "text"
  },
  "phoneE164": {
    "label": "E.164",
    "format": "text"
  },
  "phoneCountry": {
    "label": "Country",
    "format": "text"
  },
  "phoneType": {
    "label": "Line type",
    "format": "text"
  },
  "isMobile": {
    "label": "Mobile",
    "format": "boolean"
  },
  "phoneRegion": {
    "label": "Region",
    "format": "text"
  },
  "phoneCarrier": {
    "label": "Allocated carrier",
    "format": "text"
  },
  "lineChecked": {
    "label": "Live line checked",
    "format": "boolean"
  }
}
```

## About this Actor

This example demonstrates how to use [Bulk Phone Number Validator & Cleaner: Carrier, CSV or Sheet](https://apify.com/nerolabs/phone-number-validator.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/nerolabs/phone-number-validator.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.
This Task's input is already configured above — use it as-is rather than inventing a new one.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
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- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/nerolabs/phone-number-validator.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).