Schema Markup Validator

A schema markup validator checks whether the structured data on a page is present, parseable, and shaped in a way search engines can understand. In practice, that usually means reviewing JSON-LD for missing fields like @context, @type, product offers, article authors, or FAQ answers.

This matters because structured data often fails silently. A page can render normally while still shipping broken JSON, incomplete schema blocks, or markup that no longer matches what Google or other parsers expect. Catching those issues before publishing is much easier than diagnosing why a rich result never appears.

This free schema markup validator focuses on practical QA. You can paste JSON-LD directly, paste full HTML to extract embedded schema, or inspect a live URL and review each block one by one.

Start with the red items first. Missing required fields usually mean the block is incomplete or structurally broken, while yellow items are improvement opportunities that can strengthen eligibility and data quality.

For example, a product block with name and offers.price present is in much better shape than one missing both. An FAQ block with a question but no acceptedAnswer.text will still parse as JSON, but it is not useful markup.

{
  "@type": "Product",
  "name": "Trail Runner 2",
  "offers": {
    "price": "119.00",
    "priceCurrency": "USD"
  }
}

{
  "@type": "FAQPage",
  "mainEntity": [
    { "@type": "Question", "name": "Do you ship abroad?" }
  ]
}