# Validate CRM leads before import

**Use case:** 

Run a repeatable JSON Schema quality gate on CRM lead records and export exact email, URL, enum, and required-field failures.

## Input

```json
{
  "schema": {
    "$schema": "http://json-schema.org/draft-07/schema#",
    "type": "object",
    "required": [
      "company",
      "email",
      "source",
      "consent"
    ],
    "properties": {
      "company": {
        "type": "string",
        "minLength": 2
      },
      "email": {
        "type": "string",
        "format": "email"
      },
      "website": {
        "type": "string",
        "format": "uri"
      },
      "source": {
        "enum": [
          "event",
          "inbound",
          "referral"
        ]
      },
      "consent": {
        "type": "boolean"
      }
    },
    "additionalProperties": false
  },
  "records": [
    {
      "company": "Apify",
      "email": "support@apify.com",
      "website": "https://apify.com",
      "source": "inbound",
      "consent": true
    },
    {
      "company": "A",
      "email": "missing-at-sign",
      "website": "apify.com",
      "source": "purchased",
      "consent": "yes"
    },
    {
      "company": "GitHub",
      "email": "support@github.com",
      "source": "referral"
    }
  ],
  "maxItems": 5000,
  "maxErrorsPerRecord": 25
}
```

## Output

```json
{
  "recordIndex": {
    "label": "Record index",
    "format": "integer"
  },
  "sourceType": {
    "label": "Source type",
    "format": "string"
  },
  "sourceDatasetId": {
    "label": "Source dataset ID",
    "format": "string"
  },
  "valid": {
    "label": "Valid",
    "format": "boolean"
  },
  "errorCount": {
    "label": "Error count",
    "format": "integer"
  },
  "errorsTruncated": {
    "label": "Errors truncated",
    "format": "boolean"
  },
  "errors": {
    "label": "Validation errors",
    "format": "array"
  },
  "record": {
    "label": "Original record",
    "format": "object"
  },
  "validatedAt": {
    "label": "Validated at",
    "format": "string"
  }
}
```

## About this Actor

This example demonstrates how to use [Apify Dataset JSON Schema Validator](https://apify.com/automation-lab/apify-dataset-json-schema-validator.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/automation-lab/apify-dataset-json-schema-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`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **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/automation-lab/apify-dataset-json-schema-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).