# PAL | Ecommerce Product Listing QA (`practical_ai_lab_jp/pal-product-stock-schema-check`) Actor

Audit ecommerce Product JSON-LD, prices, currency, availability labels, SKU, brand, images, canonical and meta description. Export prioritized fixes and a heuristic product QA score.

- **URL**: https://apify.com/practical_ai_lab_jp/pal-product-stock-schema-check.md
- **Developed by:** [Practical AI Lab](https://apify.com/practical_ai_lab_jp) (community)
- **Categories:** E-commerce, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $5.00 / 1,000 completed stock availability schemas

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## 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.

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 examples already wired to this Actor's own input schema, see the [API](#api) section below.

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`).

# README

## PAL | Ecommerce Product Listing QA

**Find missing and inconsistent ecommerce product listing markup before you refresh product feeds or run a catalog migration.**

Batch-audit up to 18 public HTTPS product URLs in one run. Get prioritized fixes and evidence-based, structured JSON/CSV data without installing a storefront plugin or sharing account access.

### What is checked

- schema.org Product JSON-LD and product name
- Offer price and price currency (static published markup)
- Offer stock-status label, including missing availability metadata
- Brand, SKU/GTIN/MPN identifiers, product image metadata
- Canonical URL and HTML meta description

### What you receive

Each successfully checked URL produces a Dataset row with `retailQaScore` (0–100, a heuristic only), `suggestedFixCount`, `issueCount`, structured `details.productOfferSummary`, and prioritized, plain-English `details.suggestedFixes`. The score is a static markup completeness signal, **not** an inventory verification, sales prediction or Google score.

### Start in under a minute

Input:

```json
{"urls":["https://scrapeme.live/shop/Pikachu/"]}
```

Run the Actor. Review the summary dataset, sort by suggested fixes, and export the results as JSON or CSV for your merchandising and SEO teams.

### Pricing

Pay-per-event: `pal-availability` for each successfully fetched public HTML URL. View the exact price at Apify Store; fetching failures generate an error row without a processed-page event. Max 18 URLs per run; no mandatory recurring plan.

### Limitations

Checks *static public HTML* only. Does not render JavaScript, read authenticated sites or verify real-time warehouse inventory. Not all merchant pages provide Product JSON-LD. A missing field is not automatically a technical error: assess actual site and data requirements before changes. Fetch limit 1.5MB per page and network timeout 11 seconds.

### Related PAL tools

- [PAL Competitor Price & Stock Change Monitor](https://apify.com/practical_ai_lab_jp/pal-competitor-price-stock-delta)
- [PAL Product Price & Stock Snapshot](https://apify.com/practical_ai_lab_jp/my-actor)
- [PAL GTIN & SKU SEO Auditor](https://apify.com/practical_ai_lab_jp/my-actor-3)
- [PAL Shipping Promise Schema Audit](https://apify.com/practical_ai_lab_jp/my-actor-2)

Practical AI Lab (PAL).

# Actor input Schema

## `urls` (type: `array`):

Each URL yields an independent audit row. Static HTML only. No authentication.

## Actor input object example

```json
{
  "urls": [
    "https://scrapeme.live/shop/Pikachu/"
  ]
}
```

# Actor output Schema

## `dataset` (type: `string`):

No description

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://scrapeme.live/shop/Pikachu/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("practical_ai_lab_jp/pal-product-stock-schema-check").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "urls": ["https://scrapeme.live/shop/Pikachu/"] }

# Run the Actor and wait for it to finish
run = client.actor("practical_ai_lab_jp/pal-product-stock-schema-check").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://scrapeme.live/shop/Pikachu/"
  ]
}' |
apify call practical_ai_lab_jp/pal-product-stock-schema-check --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,practical_ai_lab_jp/pal-product-stock-schema-check"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/5gjqnIaFgsOVQYaVV/builds/uNcoekir5iimotBEf/openapi.json