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Schema Markup Extractor

In short

Extract Schema.org structured data from any HTML. Detect JSON-LD, Microdata, and RDFa instantly. Free, offline, client-side - secure.

  • Runs in your browser
  • Nothing uploaded
  • Free, no sign-up

Extract JSON-LD, Microdata, and RDFa structured data from any HTML page. Runs entirely in your browser - paste or upload HTML, nothing is sent anywhere.

How to Use the Schema Markup Extractor

  1. Grab the HTML. On any web page, right-click → "View Page Source" (or press Ctrl+U / Cmd+U), then select all and copy. The tool cannot fetch URLs directly because browser CORS blocks cross-origin JavaScript requests.
  2. Choose an input method. Use the "Paste HTML" tab for quick pastes, or the "Upload File" tab to load a saved .html / .htm file from your device.
  3. Extract schemas. Click "Extract Schema" or press Ctrl+Enter (Cmd+Enter on Mac). The tool parses JSON-LD `
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100% PrivateNo server uploads, ever
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InstantRuns in your browser
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No WatermarksClean output, always
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Free ForeverNo accounts, no limits

How to Use Schema Markup Extractor

Schema Markup Extractor · free online tool · All Tools Verse
Schema Markup Extractor. Free online tool that runs in your browser.
  1. Grab the HTML. On any web page, right-click → "View Page Source" (or press Ctrl+U / Cmd+U), then select all and copy. The tool cannot fetch URLs directly because browser CORS blocks cross-origin JavaScript requests.
  2. Choose an input method. Use the "Paste HTML" tab for quick pastes, or the "Upload File" tab to load a saved .html / .htm file from your device.
  3. Extract schemas. Click "Extract Schema" or press Ctrl+Enter (Cmd+Enter on Mac). The tool parses JSON-LD `` blocks, Microdata `itemscope` elements, and RDFa `typeof` elements in one pass.
  4. Read the results. Each schema appears as a card showing the detected `@type`, a badge for the extraction method (JSON-LD / Microdata / RDFa), and the full JSON pretty-printed. The stats line summarises the counts by method.
  5. Copy individually or all at once. Use the per-card "Copy this schema" button for a single block, or "Copy All" at the bottom to get every schema separated by `---`.
  6. Download as JSON. "Download JSON" saves an array of all schema objects to `extracted-schemas.json` - handy for diffing, archiving, or feeding into testing tools.
  7. Clear and repeat. "Clear All" resets the textarea, the file input, and the results section so you can extract from a different page without reloading.

Frequently Asked Questions

Is my HTML data secure?

Yes. All extraction happens in your browser using the built-in DOMParser. No HTML is uploaded to any server; your data remains 100% private.

What is schema markup?

Schema markup is structured data that helps search engines understand your content. It comes in three flavours: JSON-LD (script blocks), Microdata (HTML attributes), and RDFa (similar attribute syntax). Search engines use it for rich results like review stars, recipe cards, and event cards.

Why can’t I enter a URL directly?

Browser security (CORS policy) prevents client-side JavaScript from fetching arbitrary URLs. To keep this tool 100% client-side and privacy-respecting, we ask you to paste the HTML yourself instead of relying on a server-side proxy.

Is this tool free?

Yes, completely free with no sign-up required. Extract unlimited schemas from any HTML source.

Does it work offline?

Yes. Once the page loads, extraction runs locally in your browser – no network calls. Ideal for working on internal or confidential pages.

What happens with malformed JSON-LD?

A broken JSON-LD block is surfaced as a “Parse Error” card showing the specific error message. Other valid schemas on the same page are still extracted normally.

How are nested Microdata items handled?

The Microdata parser walks `itemscope` elements recursively, so a `Product` containing an `Offer` is represented as a nested JSON object with the correct `@type` on each level.

What’s the difference between JSON-LD, Microdata, and RDFa?

JSON-LD is a separate <script> block with pure JSON – easiest to maintain and Google’s preferred format. Microdata uses HTML attributes inline with content (`itemprop=”name”`). RDFa uses `typeof` and `property` attributes. All three convey the same schema information.

Does it support multiple schemas on one page?

Yes. Every “ block, every `itemscope` element, and every `typeof` element becomes its own card. The stats line shows the breakdown.

Can I use the downloaded JSON in Google’s Rich Results Test?

Not directly – Google’s test accepts a URL or raw HTML, not a schema array. But the downloaded JSON is useful for diffing against previous extractions, feeding into custom validators, or archiving a page’s structured data over time.

Keep going

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