PAL Review Markup Audit

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: check product review structured-data presence

For ecommerce catalog teams and SEO QA: when you migrate product templates, you may need to verify that publicly published Review JSON-LD remains present and parseable. This Actor identifies Review nodes in static page metadata and exports up to 20 author/rating summaries per audited page.

Example input:

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

Open the Dataset and inspect details.reviewCount, details.reviewSummaries and issues. A result containing review_schema_missing simply reports no Review JSON-LD found in the static HTML; it does not prove the site has no customer reviews. The synthetic demo includes one fictional Review JSON-LD node so the review count is visible. Use your own public product URLs to check actual published reviews.

Billing/fit: a successful public page check is a priced event as listed on the Apify Pricing tab. This does not fabricate reviews, evaluate rating authenticity, read JavaScript-rendered reviews or guarantee rich results in search.

Related PAL: product listing QA and rating schema inspection are separate tools.

Inspect Review schema blocks for author, rating and reviewed item.

Ideal users and practical workflow

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

What it checks: Inspect Review schema blocks for author, rating and reviewed item. 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 Review schema blocks for author, rating and reviewed item. 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 Review Markup Audit, 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-review 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 38 | ECOM