PAL Aggregate Rating Check

Demo transparency: the prefilled public Apify-hosted HTML is a synthetic PAL test fixture. It contains no real product reviews, stock assertions, marketing campaign performance or customer data. Replace the sample with your own public HTTPS URLs for production checks.

Start here: inspect published product rating JSON-LD

For product catalog QA: Product aggregateRating metadata can become incomplete after theme updates and store migrations. Inspect the published rating object in Product JSON-LD and export per-page presence flags.

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

The Dataset includes details.aggregateRatings, issues and issueCount. The synthetic demo includes a fictitious aggregate rating of 4.5, not real customer feedback. Missing aggregateRating on real product pages is not proof of a broken page; many valid products intentionally have no customer ratings. For a meaningful QA run, substitute product URLs that are expected to publish rating metadata.

What this does not do: verify reviewer authenticity, calculate true averages from third-party platforms, read JavaScript-only content or promise Google star snippets.

Related PAL: Review markup audit and batch ecommerce QA.

Inspect Product aggregateRating fields for rating value and count.

Ideal users and practical workflow

Best for: ecommerce operators, product-catalog teams and merchandising analysts.

What it checks: Inspect Product aggregateRating fields for rating value and count. Upload a short list of public HTTPS URLs to receive an individual evidence-based record and issue flags per page. Review the flagged URLs first, then export the Dataset as JSON or CSV for your team's workflow.

When it is useful: When product feeds change, before a catalog launch, or after price and availability updates.

What it does not do: It does not crawl an entire website automatically, render JavaScript, guarantee a search ranking, or change the target site. Check the exact limitations below before purchasing runs.

Why use this PAL Actor?

Get a structured, repeatable report for this specific issue without opening dozens of webpages by hand. Each input URL is analyzed independently. The output identifies data found on the page and flags likely omissions for manual review. Save output in Apify Dataset and export to JSON, CSV or Excel.

Practical use cases

Built for: ecommerce operators, catalog managers and SEO consultants.

• Spot the issue: Inspect Product aggregateRating fields for rating value and count. See machine-readable results for each submitted public URL.
• Prioritize corrections: use issues, issueCount and details to decide which pages merit human review.
• Repeat as needed: rerun the same URL list after editing page markup to compare findings.

What makes this tool useful?

Focused on Aggregate Rating Check, rather than requiring a full-site crawling subscription. Export results to a spreadsheet, CSV or a data pipeline; connect via Apify API where appropriate. The tool processes static HTML and embedded metadata, with no client-side browser, API keys or private-page logins.

Important: each URL is a separate charged successful audit event at the rate visible in Apify Store. A missing signal is an observation, not a legal or search-engine verdict. If your site renders important data only with JavaScript, that data may not appear in the result.

How this fits with other Practical AI Lab (PAL) tools

For ecommerce projects, start with PAL Product Price & Stock Snapshot and follow with PAL Product GTIN & SKU SEO Auditor to inspect identifiers. For storefront trust information, use PAL Store Policy Link Mapper before reviewing return or shipping schema. These are independent PAL tools; there is no bundle requirement.

Example input

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

Results

Each successful fetch produces a Dataset row with sourceUrl, finalUrl, mode, issueCount, issues and details. Issue flags indicate markup detected in static HTML; they are not a guarantee of legal compliance, accessibility certification, search rank, or a live inventory position. Missing data can be published through JavaScript or other channels not read here.

Billing

Pay per event: pal-rating is triggered for each successfully fetched and audited page at the price displayed by Apify Store. URL errors generate a free error row. Maximum 18 URLs per run. No paid API keys, logins, or third-party services required.

Technical limits

Public HTTPS only; no JavaScript rendering, captcha bypass or private pages. Each response is at most 1.5 MB, 11-second network timeout. The site may block bots. Output reflects visible HTML at retrieval time, not a complete website audit. Running the Actor does not itself fix issues.

More Practical AI Lab (PAL) tools

Use independent PAL tools in a natural sequence: first capture price and stock, then audit the corresponding product markup; or locate policy links and inspect returns/shipping markup. Each Actor is separately usable, with no mandatory bundle.

• PAL Product Price & Stock Snapshot
• PAL Return Policy Schema Auditor
• PAL Shipping Promise Schema Audit
• PAL Product GTIN & SKU SEO Auditor
• PAL Store Policy Link Mapper

Browse the PAL developer profile for additional focused audit tools.

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Practical AI Lab | Catalog product 37 | ECOM