# PAL | Product Image Metadata & Alt Audit (`practical_ai_lab_jp/pal-product-image-schema-audit`) Actor

Audit public ecommerce Product image JSON-LD, HTML alt attributes and Open Graph images. Review page-level metadata gaps and export an image QA checklist. Try a prefilled Example task with complete and incomplete samples. Static HTML only; no image quality ranking or browser rendering.

- **URL**: https://apify.com/practical_ai_lab_jp/pal-product-image-schema-audit.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 $4.00 / 1,000 completed product image 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 | Product Image Metadata & Alt Audit

**Who this is for:** Product catalog, SEO and accessibility QA teams.

**What you actually get:** Get Product JSON-LD image URLs, HTML missing/empty alt counts and og:image checks.

#### Try one public URL first

Input example:

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

**What to do next:** Run one product page and inspect imageQaScore, missingAltCount and suggested review fixes.

**Pricing:** Pay per event; view this Actor’s live Pricing tab before larger batches. A successfully processed page can be billable even when no issue is detected. Results can be exported as JSON or CSV.

**Important limits:** Some empty alt attributes are appropriate; not a complete WCAG audit. Supports applicable static public HTTPS metadata only, without site logins or JavaScript rendering.

**Related PAL tool:** https://apify.com/practical_ai_lab_jp/pal-product-stock-schema-check. Independently usable; no bundle is required.

***

## PAL | Product Image SEO & JSON-LD QA

**Review three kinds of product image metadata in a single pass:** Product JSON-LD image URLs, HTML `img` alt attributes, and Open Graph share preview images.

### Who it's for

Ecommerce merchandising teams, product catalog managers, and technical SEO specialists reviewing newly launched or migrated product pages.

### What you get

- Product JSON-LD image URLs (static public markup only)
- Total images, missing-alt counts, empty-alt counts and sampled affected sources
- Whether the page provides an `og:image` share preview and whether it differs from Product JSON-LD images
- Heuristic image QA score and prioritized review suggestions per URL
- Structured JSON/CSV dataset for up to 18 public HTTPS URLs.

### Quick start

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

Review `imageQaScore`, `missingAltCount` and `productImageCount` in the Dataset overview. Open `details.imageFindings` and `details.prioritizedImageFixes` for issue evidence.

### Price

Charges `pal-prodimage` per successfully fetched/audited page using the price displayed in Apify Store. Errors are recorded without that event charge. No subscription is required for occasional checks.

### Honest limits

Examines static HTML only and does not download images, verify image server responses, render JavaScript, guarantee accessibility conformance or automatically fix any page. Some empty alt values are correct for decorative imagery; the flagged results are for human review.

### Related PAL tools

- [PAL Ecommerce Product Listing QA](https://apify.com/practical_ai_lab_jp/pal-product-stock-schema-check)
- [PAL Competitor Price & Stock Change Monitor](https://apify.com/practical_ai_lab_jp/pal-competitor-price-stock-delta)

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-image-schema-audit").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-image-schema-audit").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-image-schema-audit --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-image-schema-audit"
        }
    }
}
```

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/lkXCo9ZiIiNcU0C6q/builds/NHIW57y91CMbBENcp/openapi.json