Schema Markup & SEO Data Extractor

Extract JSON-LD structured data, Open Graph tags, Twitter Card metadata, and meta tags from any URL. Built for SEO auditors, developers, and data engineers who need structured page metadata at scale.

Pricing: $0.002 per URL (~$2 per 1,000 URLs)

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What It Extracts

Data Type	Examples
JSON-LD	Product, Article, BreadcrumbList, FAQPage, LocalBusiness, WebSite, Person, Organization
Open Graph	og:title, og:description, og:image, og:url, og:type, og:site_name
Twitter Card	twitter:card, twitter:title, twitter:description, twitter:image, twitter:site
Meta Tags	description, keywords, author, robots, viewport, canonical
Schema Types	Deduplicated list of all @type values found on the page

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Input

Field	Type	Default	Description
urls	array	required	URLs to extract from
includeJsonLd	boolean	true	Parse JSON-LD script blocks
includeOpenGraph	boolean	true	Parse og: meta properties
includeTwitterCard	boolean	true	Parse twitter: meta tags
includeMetaTags	boolean	true	Parse all <meta name=...> tags
concurrency	integer	5	Parallel requests (1-20)
timeout	integer	30	Per-URL timeout in seconds
maxResults	integer	50	Cap on URLs processed

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Output

Each URL produces one dataset record:

{
  "url": "https://example.com/product/widget",
  "jsonLd": [
    {
      "@context": "https://schema.org",
      "@type": "Product",
      "name": "Widget Pro",
      "description": "A professional widget",
      "offers": {
        "@type": "Offer",
        "price": "29.99",
        "priceCurrency": "USD"
      }
    }
  ],
  "openGraph": {
    "title": "Widget Pro - Best Widgets",
    "description": "A professional widget for professionals",
    "image": "https://example.com/widget.jpg",
    "type": "product"
  },
  "twitterCard": {
    "card": "summary_large_image",
    "title": "Widget Pro",
    "image": "https://example.com/widget-twitter.jpg"
  },
  "metaTags": [
    { "name": "description", "content": "A professional widget for professionals" },
    { "name": "keywords", "content": "widget, pro, professional" }
  ],
  "schemaTypes": ["Product", "Offer"]
}

If a URL fails to fetch or parse, the record includes an error field and empty arrays/objects for the structured data fields.

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Use Cases

• SEO audits — verify JSON-LD is present and correct across hundreds of pages
• Competitor research — see what schema types competitors implement
• Rich result eligibility — check if pages qualify for Google rich results (Product, FAQ, Article, etc.)
• Content aggregation — extract og:image and og:title for link previews
• Schema validation — identify missing or malformed structured data before a site launch
• Crawl pipelines — feed output into downstream validators or dashboards

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Notes

• Uses a pure HTTP client — no browser required, fast and cost-efficient
• Handles @graph arrays in JSON-LD (common on WordPress/Yoast sites)
• Handles both property="twitter:..." and name="twitter:..." meta tag formats
• Follows up to 10 redirects per URL
• Response body capped at 10 MB per page
• No API key required