# Find missing Product Review schema fields

**Use case:** 

Inspect an intentionally incomplete public page for Review JSON-LD presence and field completeness. A missing Review block does not prove missing customer reviews. Public pages only. The sample is a demo; replace URLs with your own before production use.

## Input

```json
{
  "urls": [
    "https://api.apify.com/v2/key-value-stores/DHMHtotPcN9CAKXYj/records/issues.html"
  ]
}
```

## Output

```json
{
  "sourceUrl": {
    "label": "Input URL",
    "format": "string"
  },
  "finalUrl": {
    "label": "Final URL",
    "format": "string"
  },
  "mode": {
    "label": "Audit mode",
    "format": "string"
  },
  "issueCount": {
    "label": "Issue count",
    "format": "integer"
  },
  "status": {
    "label": "Status",
    "format": "string"
  },
  "checkedAt": {
    "label": "Timestamp",
    "format": "string"
  }
}
```

## How it works

### 1. Sign up on Apify or log in

The PAL | Product Review Schema Checker Actor is ready to run with the inputs already set for "Find missing Product Review schema fields". [Sign up or log in](https://console.apify.com/create-task-from-example/neKCZh41VXzh9nv0n) and you'll land in Apify Console with a copy of this exact task.

### 2. Start the "Find missing Product Review schema fields" task

The PAL | Product Review Schema Checker Actor will start running based on the input automatically. You can also change all the input fields, like public https page urls, to match your specific use case.

### 3. Receive the "Find missing Product Review schema fields" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as input url, final url, audit mode, and more.

### 4. Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also [run the "Find missing Product Review schema fields" task via API](https://apify.com/practical_ai_lab_jp/pal-review-schema-auditor.md).

## About this Actor

This example demonstrates how to use [PAL | Product Review Schema Checker](https://apify.com/practical_ai_lab_jp/pal-review-schema-auditor.md) with a specific input configuration. Visit the [Actor detail page](https://apify.com/practical_ai_lab_jp/pal-review-schema-auditor.md) to learn more, explore other use cases, and run it yourself.


## How to integrate an Actor?

This Task's input is already configured above. Use it as-is rather than inventing a new one.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For full API examples (JavaScript, Python, CLI, MCP, OpenAPI), see this Task's Actor page: https://apify.com/practical_ai_lab_jp/pal-review-schema-auditor.md

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).