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Structured DataJuly 11, 2026· 9 min read

Free Schema Markup Checker: Test & Validate Your Structured Data

Your schema markup can look correct and still be completely broken. A schema markup checker finds the silent errors — wrong property names, missing required fields, type mismatches — that block Google rich results even when your JSON-LD appears valid.

What is schema markup and why does it need checking?

Schema markup is structured data you add to your page — usually as a JSON-LD script block — that tells Google exactly what your content means. Without it, Google has to guess. With valid schema, Google can show rich results: FAQ dropdowns, star ratings, product prices, breadcrumbs, and event dates directly in search results.

The problem is that schema errors are silent. A missing brace, a deprecated property, or a required field left empty looks fine to a human reading the code — but Google ignores the entire schema block. A schema markup checker catches these issues before they cost you rich result eligibility.

Free schema markup checker — SEO-Snap

Instantly validates all JSON-LD on your page against schema.org specs, checks rich result eligibility, and flags missing required fields. Check your schema markup free →

What a schema markup checker validates

A good schema checker does more than confirm your JSON is valid syntax. It validates against the actual schema.org specification:

JSON-LD syntax

Valid JSON structure — balanced braces, escaped quotes, no trailing commas. Syntax errors break everything silently.

@context and @type

Confirms schema.org is used as context and @type matches an actual schema.org type (case-sensitive).

Required properties

Each schema type has required fields (e.g. Product needs name and offers). Missing required fields block rich results entirely.

Recommended properties

Recommended fields like image, description, and aggregateRating are not required but improve rich result appearance and eligibility.

Value format

Dates must be ISO 8601, prices must be numeric strings, URLs must be absolute. Wrong formats fail silently.

Content match

Schema data must match visible page content. Google rejects schema for content users cannot see on the page.

Rich result eligibility

Whether your schema qualifies for specific rich results (FAQ accordion, product rich result, breadcrumbs, etc.).

Schema types and the rich results they unlock

Schema typeRich result
FAQPageFAQ accordion in search results
ProductStar ratings, price, availability
ArticleArticle rich result, date in snippet
BreadcrumbListBreadcrumb path below page title
LocalBusinessAddress, hours, phone in Knowledge Panel
HowToStep-by-step guide in search results
ReviewStar rating snippet
EventEvent date, location in search results

How to check your schema markup (step by step)

  1. 1

    Open the schema markup checker

    Go to seo-snap.com/tools/schema-markup-validator. No account needed.

  2. 2

    Enter your page URL

    Paste the exact URL of the page you want to check. The checker fetches the live page so it sees the same schema Google does — including dynamically generated JSON-LD.

  3. 3

    Review detected schema types

    The checker shows every schema block found on the page, the type (@type) detected, and whether it's valid. Invalid blocks are highlighted in red.

  4. 4

    Fix errors in priority order

    Address errors that block rich results first (missing required fields, syntax errors). Then fix warnings (deprecated properties, recommended fields missing).

  5. 5

    Re-check after changes

    Run the check again after deploying fixes. Google typically picks up schema changes within 1–2 weeks of recrawling the page.

The 6 most common schema markup errors

Missing required property

Critical

Example: Product schema without offers.price

Add all required fields for the schema type. Use Google's Rich Results documentation to see which properties are required vs. recommended.

Schema doesn't match page content

Critical

Example: Rating of 4.9 stars in schema but no visible reviews on page

Schema must reflect content visible to users. Google will not show rich results if schema data differs from what's on the page.

Malformed JSON-LD syntax

Critical

Example: Missing closing brace, unescaped quote inside string

Run your JSON-LD through a JSON validator first (jsonlint.com), then check schema validity. A syntax error silently breaks all schema on the page.

Incorrect @type value

High

Example: "@type": "Products" instead of "Product"

Type values are case-sensitive and must match schema.org exactly. Use the schema.org type directory to verify spelling.

Deprecated property used

Medium

Example: Using "price" directly instead of "offers.price" for Product

Check schema.org changelog. Some properties moved to nested objects in recent updates. Use a schema checker to catch these automatically.

Multiple conflicting schemas

Medium

Example: Two different Product schemas with different prices on the same page

Each entity should have one schema block. Use @graph array if you need multiple schemas on a single page.

JSON-LD example: FAQPage (copy-paste ready)

FAQPage schema is one of the easiest rich results to get — and one of the most impactful. Add this to your page <head>:

<script type="application/ld+json">
{
  "@context": "https://schema.org",
  "@type": "FAQPage",
  "mainEntity": [
    {
      "@type": "Question",
      "name": "What is your return policy?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "We offer 30-day returns on all orders..."
      }
    },
    {
      "@type": "Question",
      "name": "How long does shipping take?",
      "acceptedAnswer": {
        "@type": "Answer",
        "text": "Standard shipping takes 3-5 business days..."
      }
    }
  ]
}
</script>

Frequently asked questions

What is a schema markup checker?
A schema markup checker is a tool that reads your page's structured data (JSON-LD, Microdata, or RDFa) and validates it against schema.org specifications. It checks for missing required fields, incorrect types, and errors that prevent Google from generating rich results like star ratings, FAQ dropdowns, and product prices.
What schema markup errors are most common?
The most common schema markup errors are: missing required properties (e.g. Product schema without a name or price), incorrect @type values, malformed JSON-LD syntax, schema that doesn't match visible page content, and using deprecated properties. These errors silently block rich results even if your schema looks correct.
How do I check my schema markup for free?
Use SEO-Snap's free schema markup checker at seo-snap.com/tools/schema-markup-validator. Enter your URL and it instantly validates all JSON-LD structured data on your page, checks schema.org type conformance, and shows which rich result types you're eligible for.
Does schema markup directly affect Google rankings?
Schema markup is not a direct ranking factor — Google has confirmed this. However, valid schema unlocks rich results (FAQ dropdowns, star ratings, breadcrumbs, product prices) which significantly increase click-through rates. Higher CTR from the same position leads to more traffic and can indirectly improve rankings over time.
What's the difference between JSON-LD, Microdata, and RDFa?
All three are ways to add schema markup to a page. JSON-LD is a separate <script> block — Google's recommended format because it's easy to add without changing HTML. Microdata embeds attributes directly into HTML elements. RDFa is an older HTML attribute-based approach. JSON-LD is the modern standard for all new implementations.

Check your schema markup free

Validates JSON-LD · checks rich result eligibility · flags missing required fields

Check schema markup free →