Who this is for: Ecommerce developers reviewing MerchantReturnPolicy.

What you actually get: Inspect declared return windows, fees and methods in available public structured data.

Try one public URL first

Input example:

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

What to do next: Start with a product page with published policy metadata, then export field findings.

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: Published metadata does not prove actual policy or legal compliance. Supports applicable static public HTTPS metadata only, without site logins or JavaScript rendering.

Related PAL tool: https://apify.com/practical_ai_lab_jp/my-actor-4. Independently usable; no bundle is required.

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PAL | Return Policy Schema Auditor

Are shoppers seeing complete return terms in your product structured data? Find missing return windows, fees and methods.

Best for: Ecommerce catalog QA teams, SEO agencies and merchants validating public product structured data before changes.

Quick start: Paste a product URL: get declared return window, return method, fee details and flags when markup is absent or incomplete.

What to expect: Checks published JSON-LD, not policy-page text or legal compliance. A missing schema field does not prove a shop lacks a return policy.

PAL workflow: Use this tool on its own or follow the PAL links below to combine related audits. There is no required additional purchase.

Find gaps in structured return terms before they cause confusing product metadata. Audit published return-policy schema in one repeatable run.

Built for catalog QA, ecommerce SEO teams, agencies and merchants reviewing MerchantReturnPolicy data.

What you get

Declared return windows, return methods, fee indicators, destinations and missing-schema flags.

• Input: Public HTTPS ecommerce pages, up to 30 per run.
• Output: structured records in the Apify dataset, exportable as JSON, CSV or Excel.
• Processing: lightweight static-HTML parsing without logging in to websites or deploying a server.

Try a single page first

1. Paste a publicly accessible HTTPS product or storefront URL into the input form.
2. Select Start and review the dataset results.
3. Export the results. Add more URLs after confirming that the site exposes the expected structured data or links.

Example input:

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

Clear pay-per-event pricing

$5 per 1,000 audited pages + $0.00005 per run. Each successfully fetched page creates one pal-return-audit billable event, even when return markup is missing. Prices shown here describe this Actor's current pricing configuration; verify the live rate in Apify before running at scale. Run cost limits can be set in Apify Console.

Complete your PAL ecommerce workflow

Each Actor works independently. Choose another PAL tool only when it answers your next question:

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

Suggested path: Product Snapshot → GTIN/SKU Audit for catalog QA; Policy Link Mapper → Return Policy Audit and Shipping Promise Audit to inspect policy signals.

Explore all Practical AI Lab tools.

Important limitations

Audits JSON-LD only. A missing schema field does not prove a merchant has no return policy or determine legal compliance. The tools read public HTTPS pages (not private logins), do not render JavaScript and do not bypass access controls. Page data can be incomplete or stale. No guarantee of legal compliance, completeness or sales outcomes.