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Structured Data Extractor

See what structured data a page actually ships. Extract JSON-LD blocks, schema types, parse errors, and microdata hints so you can debug rich result eligibility before validating or rewriting markup.

How it works

A short, focused workflow — input, run, read the result.

  1. Enter page URL

    Paste the URL you want to inspect.

  2. Inspect schema blocks

    Review JSON-LD blocks, schema types, parse validity, and microdata hints.

  3. Copy or fix markup

    Copy the raw structured data or fix invalid schema before testing rich results.

What is structured data, and why does it decide which rich result you win?

Structured data is the schema.org markup (usually JSON-LD) you add to a page to describe its content to Google. The markup is invisible to users but determines whether your page can win a star rating, a FAQ dropdown, a product card, or a sitelinks search box.

Structured data is a vocabulary (schema.org) and a syntax (JSON-LD, Microdata, or RDFa) that lets a page describe itself to a search engine. JSON-LD is the format Google recommends, embedded as a <script type="application/ld+json"> block. The vocabulary covers hundreds of types: Product, Recipe, Article, FAQPage, LocalBusiness, Event, Organization, BreadcrumbList, and many more. Each type has required and recommended properties, and Google only awards rich results when those properties are present and valid.The failure modes are common. A JSON-LD block is missing a required property (an Article without an author or datePublished). A block is technically valid JSON but uses the wrong @type. A page ships both JSON-LD and Microdata for the same entity and Google picks one. A block is present in the HTML but the page is also noindex, so the rich result is never eligible. None of these surface in a normal visual QA. You only see them when rich results silently fail to appear.Our Structured Data Extractor fetches the page and pulls out every JSON-LD block, every microdata hint, and every schema type present. You see the @type for each block, the parsed property tree, any JSON parse errors, and a quick eligibility check against Google's documented requirements for the most common rich result types. Paste a URL after a CMS update or a template change, and you see exactly which structured data shipped to the page.
3
Syntaxes Google supports: JSON-LD, Microdata, RDFa
800+
Schema.org types in the vocabulary
1
Required property missing kills a rich result

What this structured data extractor does

Every block, every type, and every parse error so you can ship markup Google will actually use.

  • JSON-LD block extractionfinds every <script type="application/ld+json"> block on the page and returns the parsed content. Multiple blocks are listed separately.
  • @type identificationreads the @type field for each block and lists the schema types present. A page with 3 blocks may ship Article, BreadcrumbList, and Organization.
  • Parse error detectionflags JSON-LD that fails to parse. A trailing comma or unescaped quote silently breaks the whole block for Google.
  • Microdata hintsscans for itemscope and itemtype attributes. Useful for legacy pages that ship Microdata instead of JSON-LD.
  • Property tree viewshows the full nested property tree of each block. Lets you see which fields are present and which are missing for a given @type.
  • Rich result eligibilityflags the most common required properties for top rich results: Product needs name, image, price, availability; Article needs author, datePublished.
  • Duplicate block warningdetects two blocks with the same @type pointing to the same entity. Google picks one, so duplicates signal a CMS bug.
  • Raw block copylets you copy each block's raw JSON-LD. Useful for pasting into Schema Markup Generator, Rich Results Test, or your CMS.

Who uses this structured data extractor

SEO, dev, and content teams that need to know exactly which schema shipped, before requesting re-indexing.

In-house SEOs

Your product pages stopped showing star ratings in search last week and you suspect the JSON-LD is missing a required field.

Extract the markup, see the missing aggregateRating property, fix the CMS template, and re-request indexing to recover the rich result.

Developers

You shipped a new FAQ schema block and want to confirm it parses cleanly and has the required mainEntity property before deploying.

Run the extractor on a sample page, confirm the block parses, and verify the @type is FAQPage with valid Question entries.

Agencies

You deliver a schema audit to 4 clients a month and need a quick read on which structured data is shipping across 100 pages per client.

Generate a per-page report, group issues by @type, and hand the client a prioritized fix list mapped to Google's requirements.

Enterprise SEOs

You manage 50,000 product pages and want to confirm Recipe schema is shipping only on recipe URLs, not on every category page by accident.

Sample 20 pages, extract the schema, find the 3 categories shipping Recipe by mistake, and fix the template logic.

Ecommerce managers

Your team added new Offer markup last sprint and you want to confirm price and priceCurrency are present on every product page.

Bulk-check 20 product URLs, see the missing priceCurrency on 4 of them, and ship the CMS fix to recover Product rich results.

Content managers

You publish an article and need to confirm Article schema is shipping with the author, datePublished, and image fields filled in.

Run the extractor on the post, see the missing image field, fix it in the CMS, and re-index to get the article rich result back.

Related glossary terms

Want a deeper dive? These glossary entries explain the concepts behind this tool.

Frequently Asked
Questions

Everything you need to know about structured data extractor and technical SEO.

The Structured Data Extractor helps SEOs diagnose a specific technical SEO workflow directly in the browser. It is built for quick audits, QA checks, and pre-publish validation.

Yes. The tool is free to use on SERPView with no signup required. URL-fetching tools use conservative limits to keep checks fast and respectful.

No. The tool fetches the URL for the current analysis and returns the result. We do not store page content or use checked pages for training.

Use it during technical SEO audits, site launches, migrations, content QA, or whenever a page behaves differently than expected in search.

No. It is a focused free check for one workflow. For large sites, use it alongside a crawler and Google Search Console to prioritize fixes.

Want this automated across your whole site?

SERPView monitors title tags, meta descriptions, and structured data for every URL — alerting you the moment something breaks or could be improved.

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