Schema Markup Extractor

The Schema Markup Extractor pulls structured data out of a web page and shows you the schema.org types it declares. It detects JSON-LD blocks (the format Google recommends) embedded in script tags, as well as inline microdata using itemscope and itemprop attributes, then surfaces the parsed objects so you can review the types and properties a page exposes to search engines. Structured data is what powers rich results — star ratings, FAQs, recipes, breadcrumbs, event details, and product pricing in the search listing.

The tool fetches the page, locates each structured-data source, and presents the extracted schema in a readable form so you can confirm which entities (such as Article, Product, Organization, BreadcrumbList, FAQPage, or LocalBusiness) are present and whether their required and recommended properties are populated. Because rich-result eligibility depends on specific properties being correct, seeing the raw extracted data quickly reveals missing fields, malformed values, or duplicate conflicting blocks that prevent enhancements from showing.

Common use cases include verifying that a CMS or plugin is actually emitting the schema you configured, debugging why a page lost a rich result, auditing competitors to see which markup types they use, and confirming that templated pages output valid JSON-LD across an entire content type. Developers also use it after deploys to catch silent regressions where a template change broke or dropped the structured data.

Practical tips: prefer JSON-LD over microdata since it's easier to maintain and is Google's recommended format, and make sure the markup describes content that is actually visible on the page to stay within structured-data guidelines. After extracting, validate the result against Google's Rich Results Test and the schema.org reference to confirm eligibility, and keep your structured data consistent with the page's Canonical URL and visible content. Pair this with the Social Preview Checker for a full machine-readable metadata audit.