Structured Data Extractor: Schema Markup, JSON-LD, Microdata

Structured Data Extractor - JSON-LD, Microdata & RDFa from any URL

Structured Data Extractor pulls every JSON-LD, Microdata and RDFa block from a web page and lists the schema.org types it declares, at $0.0004 per page on the Apify Free plan.

• Price: $0.0004 per page scanned on the Free plan, less on paid plans. A URL that cannot be fetched is not charged.
• Example input: { "url": "https://example.com/product" }
• Output fields: ok, url, status, jsonLd, microdata, rdfa, allTypes, entityCount

Extract all structured data from a web page: JSON-LD (<script type="application/ld+json">), Microdata (itemscope/itemprop), and RDFa (typeof/property), plus the list of schema.org types found. Built for SEO audits, rich-result debugging, knowledge-graph building, and AI agents that need a page's semantic data. Single URL or bulk.

$0.0004 per page. Failed fetches are recorded free.

What you get

• JSON-LD objects, with @graph unwrapped into individual entities.
• Microdata items with nested scopes resolved into properties.
• RDFa typed resources and their properties.
• allTypes - every schema.org type detected (Product, Organization, BreadcrumbList, ...).
• entityCount across all three formats.
• Fail-soft: an unreachable URL returns {ok:false, error} and is never charged.

Input

{ "url": "https://www.apify.com", "urls": ["https://example.com/product"], "maxUrls": 25 }

Output (real run, 2026-08-07)

{
  "ok": true,
  "url": "https://apify.com/",
  "status": 200,
  "jsonLd": [
    { "@context": "https://schema.org", "@type": "Organization", "name": "Apify",
      "url": "https://apify.com/", "sameAs": ["https://github.com/apify", "https://x.com/apify"] }
  ],
  "microdata": [],
  "rdfa": [],
  "allTypes": ["ContactPoint", "Organization"],
  "entityCount": 1
}

Example

A real run on 2026-10-31 with the input this page's form is prefilled with:

{
  "url": "https://www.apple.com/shop/buy-iphone/iphone-15-pro"
}

It finished in 2 seconds and returned 1 result. It was charged for 1 page-scanned event ($0.0004 on the Free plan). The first result (long text and lists cut for display):

{
  "ok": true,
  "url": "https://www.apple.com/iphone/",
  "requestedUrl": "https://www.apple.com/shop/buy-iphone/iphone-15-pro",
  "status": 200,
  "jsonLd": [
    {
      "@context": "http://schema.org",
      "@id": "https://www.apple.com/#organization",
      "@type": "Organization",
      "name": "Apple",
      "url": "https://www.apple.com/",
      "logo": "https://www.apple.com/ac/structured-data/images/knowledge_graph_logo.png?202610300940",
      "subOrganization": {
        "@type": "Organization",
        "name": "Apple Support",
        "url": "https://support.apple.com",
        "@id": "https://support.apple.com/#organization"
      },
      "contactPoint": [
        {
          "@type": "ContactPoint",
          "telephone": "+1-800-692-7753",
          "contactType": "sales",
          "areaServed": "US"
        },
        {
          "@type": "ContactPoint",
          "telephone": "+1-800-275-2273",
          "contactType": "technical support",
          "areaServed": "US",
          "availableLanguage": "…"
        },
        {
          "@type": "ContactPoint",
          "telephone": "+1-800-275-2273",
          "contactType": "customer support",
          "areaServed": "US",
          "availableLanguage": "…"
        }
      ],
      "sameAs": [
        "http://www.wikidata.org/entity/Q312",
        "https://www.youtube.com/user/Apple",
        "https://www.linkedin.com/company/apple",
        "… 2 more"
      ]
    },
    {
      "@context": "http://schema.org",
      "@type": "Brand",
      "@id": "https://www.apple.com/iphone/#brand",
      "name": "iPhone",
      "description": "Designed for Apple Intelligence. Discover iPhone Duo, iPhone 18 Pro, iPhone Air, iPhone 17, and iPhone 17e.",
      "url": "https://www.apple.com/iphone/",
      "mainEntityOfPage": "https://www.apple.com/iphone/",
      "image": "https://www.apple.com/v/iphone/home/cl/images/meta/iphone__sgu02z38g362_og.png"
    }
  ],
  "microdata": [],
  "rdfa": [
    {
      "properties": {
        "itemListElement": {
          "properties": "…",
          "type": "ListItem"
        }
      },
      "type": "BreadcrumbList"
    }
  ],
  "allTypes": [
    "Brand",
    "BreadcrumbList",
    "ContactPoint",
    "… 2 more"
  ],
  "entityCount": 3
}

Pricing - $0.0004 per page

$0.0004 per page scanned on the Apify Free plan, billed as the page-scanned event. Paid Apify plans pay less ($0.00037 Bronze, $0.00035 Silver, $0.00032 Gold, $0.00029 Platinum, $0.00027 Diamond). No start fee. Failed fetches are recorded free. A page with no structured data was scanned successfully and is charged.

Limits (honest ones)

• Parses the HTML the server returns; structured data injected later by JavaScript is not seen (no headless browser).
• Reads the raw values as authored - it does not validate them against Google's rich-result requirements.
• maxUrls capped at 50 per run.

FAQ

• How do I extract JSON-LD from a URL? Pass {"url": "https://example.com/product"}; every <script type="application/ld+json"> block comes back parsed in the jsonLd array, with @graph unwrapped into individual entities.
• Does it run JavaScript? No - it reads the server HTML, which is where the vast majority of structured data lives.
• What if a page has none? You get entityCount: 0 with empty arrays (a real answer), still one page scanned.
• Can it do many pages? Yes - pass urls (up to 50).
• What schema.org types will it tell me a page uses? allTypes lists every type found across all three formats, de-duplicated and sorted - Product, Organization, BreadcrumbList, FAQPage, Article, whatever the page declares.

When not to use this

• You want to know if Google will show a rich result. This reports the markup as authored. It does not validate against Google's rich-result requirements or flag missing required properties - use the Rich Results Test for that verdict.
• Your markup is injected by JavaScript. No headless browser here. A React app that adds JSON-LD on mount will read as empty; server-rendered markup is what this sees.
• You want to crawl a site's structured data. It reads exactly the URLs you pass, up to 50 per run. Generate the URL list yourself (a sitemap extractor pairs well with this).
• You want Open Graph / Twitter Card tags. Those are social meta tags, not structured data - see our Open Graph & Twitter Card Extractor.
• You need the markup rewritten or generated. This is read-only: it extracts, it does not author or repair schema.

Use from code or AI agents

curl -X POST "https://api.apify.com/v2/acts/EliAI~webpage-structured-data-extractor/runs?token=YOUR_APIFY_TOKEN" \
  -H 'content-type: application/json' \
  -d '{"url":"https://www.apify.com"}'

Callable as an agent tool through the Apify MCP server (mcp.apify.com).

Who uses it

• SEO specialists debugging why a product page lost its rich result by reading its JSON-LD
• Developers verifying Microdata and RDFa survived a template migration
• Knowledge-graph builders collecting schema.org entities from a list of pages
• E-commerce analysts extracting price and availability markup from competitor product pages
• AI agent builders letting an agent read a page's structured facts without parsing HTML

Changelog

• 2026-11-01: Page text only: an Example section from a real run. Code, output and price are unchanged.