# Validate product records with JSON Schema

**Use case:** 

Validate product JSON records for required IDs, names, positive prices, and status values before export or downstream processing.

## Input

```json
{
  "schema": {
    "$schema": "https://json-schema.org/draft/2020-12/schema",
    "type": "object",
    "required": [
      "sku",
      "name",
      "price",
      "status"
    ],
    "properties": {
      "sku": {
        "type": "string",
        "minLength": 1
      },
      "name": {
        "type": "string",
        "minLength": 2
      },
      "price": {
        "type": "number",
        "exclusiveMinimum": 0
      },
      "status": {
        "enum": [
          "in_stock",
          "out_of_stock"
        ]
      }
    },
    "additionalProperties": false
  },
  "records": [
    {
      "sku": "LP-120",
      "name": "Studio headphones",
      "price": 149.9,
      "status": "in_stock"
    },
    {
      "sku": "LP-121",
      "name": "USB audio interface",
      "price": -10,
      "status": "available"
    },
    {
      "sku": "",
      "price": 89,
      "status": "out_of_stock"
    }
  ],
  "maxItems": 100,
  "maxErrorsPerRecord": 20
}
```

## 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.


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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).