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Structured Data

Schema Markup Validator

Parse JSON-LD structured data, identify syntax or basic structural issues and show the detected Schema.org types.

JSON-LD@context@typeSchema.orgstructured data

Live tool

Schema Markup Validator

Results come from the input you provide. The tool does not invent traffic, rankings, backlinks or index status.

No paid SEO API required

What is Schema Markup Validator?

A Schema Markup Validator checks structured data for machine-readable problems before you publish or troubleshoot a page. On this site, the validator focuses on JSON-LD because it is widely used and easier to inspect safely than trying to infer every possible microdata or RDFa relationship from arbitrary HTML. It checks JSON syntax, looks for linked-data fields such as `@context` and `@type`, and exposes the parsed structure so you can review what the markup actually says.

Structured data is easy to break with one missing comma, an incorrectly nested object or a field copied from an unrelated example. A page can render perfectly for users while its JSON-LD silently fails to parse. Validation catches those structural problems early, but it should not be confused with search-engine rich-result eligibility, which has additional product-specific requirements.

How to use the Schema Markup Validator

  1. 1Copy the JSON-LD object from your page source or implementation code.
  2. 2Paste the JSON-LD into the validator without the surrounding `<script>` tag if possible.
  3. 3Run validation and resolve JSON syntax errors first.
  4. 4Review detected `@context` and `@type` values to make sure they describe the visible page honestly.
  5. 5After structural validation, use the relevant search-engine testing tool if your goal is a specific rich result.

Understanding the results

  • Valid JSON means the text is syntactically parseable; it does not mean every Schema.org property is semantically correct.
  • A missing `@context` warning indicates the object may not clearly declare the vocabulary it uses.
  • A detected `@type` tells you which entity the object claims to represent.
  • Nested objects should mirror real relationships on the page rather than exist only because a sample template included them.

Common problems

  • Trailing commas copied from JavaScript objects into strict JSON.
  • Smart quotes pasted from a rich-text editor.
  • Using a schema type that does not match the page's main entity.
  • Adding ratings, reviews, prices or authors that are not visible or real.
  • Publishing duplicate JSON-LD blocks from both a plugin and custom code.

How to fix them

  • Convert JavaScript-style objects into strict JSON before embedding them.
  • Remove unsupported or fictional properties instead of filling them with placeholder values.
  • Keep one authoritative source of structured data for each entity where possible.
  • Validate after deployment because templates, escaping and minification can change the final output.

Schema.org structured data best practices

  • Describe real entities and visible facts.
  • Prefer the most specific appropriate Schema.org type without forcing an unrelated subtype.
  • Use absolute URLs for important identifiers and page references.
  • Treat structured data as a representation of the page, not a separate SEO story.

Practical example

A product page should not publish AggregateRating markup merely because a generator supports it. If the page has no real review data, omit the rating rather than inventing `4.9` to make the schema look complete.

What this tool cannot tell you

This validator checks syntax and basic linked-data structure. It does not guarantee that Google, Bing or another platform will use the markup, and it does not replace product-specific rich result documentation.

Frequently asked questions

Is valid schema guaranteed to produce rich results?+

No. Valid syntax is only one requirement. Search engines apply feature-specific policies and decide whether to show enhanced results.

Does the validator support microdata?+

This implementation focuses on pasted JSON-LD. Use a browser or search-engine testing tool when you need to inspect microdata rendered in HTML.

What is `@context`?+

It identifies the vocabulary used by the JSON-LD, commonly `https://schema.org`.

Can one page have several schema types?+

Yes, when the page genuinely contains multiple related entities. They should be connected logically rather than dumped into unrelated blocks.

Should schema include hidden information?+

Structured data should accurately represent page content and real facts, not hidden promotional claims created only for crawlers.

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