Structured Data Extractor - JSON-LD, Microdata, RDFa
Pricing
from $0.32 / 1,000 scanned pages
Structured Data Extractor - JSON-LD, Microdata, RDFa
Extract all structured data from any page - JSON-LD, Microdata, and RDFa - plus the schema.org types found. Single or bulk. $0.0004 per page, cheaper than every paid structured-data actor measured; failed fetches are free.
Pricing
from $0.32 / 1,000 scanned pages
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Structured Data Extractor - JSON-LD, Microdata & RDFa from any URL
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 - cheaper than every paid structured-data actor measured on the Store. Failed fetches are recorded free.
What you get
- JSON-LD objects, with
@graphunwrapped 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, ...).entityCountacross 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}
Pricing - $0.0004 per page
Prices below checked via the Apify Store API on 2026-08-07:
| Actor | Pricing | One page |
|---|---|---|
| This actor | $0.0004 per page | $0.0004 |
| sync-network/schema-org-json-ld-extractor | $0.00005 start + $0.0005 per item | $0.00055 |
| andok/jsonld-extractor | $0.01 start + $0.001 per item | $0.011 |
| pink_comic/schema-markup-extractor | $0.0001 start + $0.002 per item | $0.0021 |
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.
maxUrlscapped at 50 per run.
FAQ
- Which formats does it cover? All three: JSON-LD, Microdata, and RDFa, in one record per page.
- 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 thejsonLdarray, with@graphunwrapped 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: 0with 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?
allTypeslists every type found across all three formats, de-duplicated and sorted -Product,Organization,BreadcrumbList,FAQPage,Article, whatever the page declares. - Can an AI agent use this to read a page's semantic data? Yes - it is callable through the Apify MCP server and the record shape is fixed, so a model can rely on the field names.
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).