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Schema Extractor

Before you write a line of structured data, look at what already exists, on your pages and on your competitors'. This schema extractor fetches any URL and lists every JSON-LD block the page ships, each one pretty printed with a badge naming its @type. It's the reverse of every generator on this site: instead of building markup, you read it. SEOs use it to view page structured data on rivals winning rich results, and developers treat it as a json ld extractor for debugging why a deployed script isn't validating. Paste a link, click Extract schemas, and you extract schema from url to screen in a few seconds, with a copy button on every block.

Always freeNo sign upRuns in your browser

How to use

01

Fetch the page

Paste the full URL, including https, and click Extract schemas. The tool downloads the served HTML and collects every script tag of type application/ld+json, however many blocks the page includes.

02

Scan the type badges

Each block appears in its own panel with a badge showing the @type, such as Article, Product, or BreadcrumbList, so you can tell at a glance which entities a page declares.

03

Copy what you need

Hit the copy button on any block to grab its formatted JSON, then reuse the structure as a starting template or paste it into a validator to hunt down field errors.

Why Schema Extractor

Common questions

What exactly does the Schema Extractor pull from a page?
Every JSON-LD script block present in the HTML the server returns, pretty printed and labeled by type. If a page ships an Organization block, an Article block, and a BreadcrumbList, you get three separate panels with a count at the top.
Can the extractor see schema injected by a tag manager?
Generally no. It reads the HTML as served, so markup added by JavaScript after page load may not appear. That's a useful finding in itself: structured data injected client side is also the kind crawlers process least reliably, so consider moving it into the server response.
How do I run competitor research with the Schema Extractor?
Take the top three ranking URLs for a query you care about and extract each one. Compare which types they declare and which optional fields they bother filling, things like author URLs or aggregate ratings. Patterns shared across all three are usually worth copying.
Does the extractor read microdata and RDFa as well?
It focuses on JSON-LD blocks, so structured data woven into HTML attributes as microdata won't show up. In practice that gap is shrinking, since JSON-LD is the format Google recommends and the one nearly all modern implementations use.
Why does the extractor say no JSON-LD found on a page I know has markup?
Three usual reasons: the markup is injected client side after load, the page blocks automated fetching, or the markup lives on a different variant of the URL, like the www subdomain or a trailing slash version. Try the exact canonical address before concluding it's missing.
Is the extractor useful for checking my own schema deployments?
That's half its job. After you publish generated markup, extract the live URL and confirm the block actually ships and parses. It catches template escaping problems, double-encoded JSON, and CMS plugins that silently strip script tags, all before Google finds them.

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