Pricing

from $9.00 / 1,000 results

Schema.org Structured Data Bulk Validator

Crawl and validate JSON-LD/Microdata structured data across multiple pages. Detect missing or malformed Schema.org markup at scale.

Pricing

from $9.00 / 1,000 results

Rating

0.0

(0)

Developer

太郎山田

Actor stats

Bookmarked

Total users

Monthly active users

2 days ago

Last modified

What does this actor do?

Fetches HTML pages, extracts JSON-LD (<script type="application/ld+json">) and Microdata (itemscope/itemtype) blocks, then validates them against Schema.org best practices. Each page gets a quality score (0-100) and grade (A-F).

Key Features

🔍 JSON-LD + Microdata extraction — Both formats supported
📊 Quality scoring — 0-100 with A-F grade per page
⚠️ Error detection — Missing @type, invalid JSON, missing @context
💡 Warnings — Sparse data, missing recommended properties
📋 Bulk processing — Check up to 200 URLs per run
🪝 Webhook delivery — Integrate into SEO monitoring workflows

Validation Rules

Check	Points	Description
JSON-LD present	40	At least one valid JSON-LD block
Microdata present	20	itemscope/itemtype found
No errors	20	No parse errors or missing @type
Schema.org context	10	Proper @context with schema.org
Rich data	10	5+ properties in JSON-LD

Input Example

{
  "urls": ["https://www.google.com", "https://github.com", "https://schema.org"],
  "concurrency": 3
}

Output Example

{
  "url": "https://www.google.com",
  "jsonLd": [
    { "type": "WebSite", "context": "https://schema.org", "name": "Google", "_keyCount": 7 }
  ],
  "microdata": [],
  "errors": [],
  "warnings": [],
  "score": { "total": 80, "grade": "A" }
}

Cost

Zero external costs. Simple HTTP page fetches — no API keys, no proxies, no browser. A run checking 50 URLs takes ~20 seconds.

Commercial Ops

Set up .env first:

$cp -n .env.example .env

Cloud Task/Schedule setup (idempotent):

$npm run apify:cloud:setup

Daily reliability checks:

npm run canary:check
npm run contract:test:live

OpenClaw cron commands:

openclaw-cron-commands.md

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