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Validate Product schema markup on e-commerce pages

Check the Product structured data (JSON-LD and microdata) of product pages at Allbirds, IKEA and a demo shop: errors such as prices with currency symbols or missing ratingValue, warnings for missing brand, sku or availability, and which Google rich results each page is eligible for. Run it on your product templates after a theme update.

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Schema Markup Validator - JSON-LD Structured Data Checker
Schema Markup Validator - JSON-LD Structured Data Checkertidytools/structured-data-validator
Page
Status
Error count
Warning count
+1 field
Text
Number
Boolean
List
Object

Input

URLs or domains:https://www.allbirds.com/products/mens-tree-runners+2
Pages in the results:all

Output fields

Page
Status
Error count
Warning count
Issues (code, severity, type, property, path)

How it works

Sign up on Apify or log in

The Schema Markup Validator - JSON-LD Structured Data Checker Actor is ready to run with the inputs already set for "Validate Product schema markup on e-commerce pages". Sign up or log in and you'll land in Apify Console with a copy of this exact task.

Start the "Validate Product schema markup on e-commerce pages" task

The Schema Markup Validator - JSON-LD Structured Data Checker Actor will start running based on the input automatically. You can also change all the input fields, like URLs or domains and pages in the results, to match your specific use case.

Receive the "Validate Product schema markup on e-commerce pages" output

Monitor the progress in real time. You will be notified as soon as your dataset is complete and ready for review. Each result includes data such as page, status, error count, and more.

Integrate into your workflow

The final output is delivered in JSON, CSV, or Excel format, ready to be plugged into your workflow. You can also run the "Validate Product schema markup on e-commerce pages" task via API.

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