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Schema Markup & JSON-LD Validator

Validate and inspect Schema.org JSON-LD structured data via live URL scraping or direct code input to optimize for Google Rich Snippets and AI Search citations.

1. Fetch from live URL

OR

2. Paste Code


Technical Architecture: Reverse-Engineering JSON-LD Validation​

Schema.org structured data enables search crawlers and LLM knowledge graphs to parse semantic entities (organizations, software applications, articles, ratings) directly from machine-readable JSON-LD tags embedded within the HTML document.

The validator operates in dual mode: client-side JSON parsing for direct code snippets, and serverless proxy extraction (/api/fetchSchema) for live public URLs.


1. Serverless JSON-LD Extraction & Graph Parsing​

When validating a live URL, /api/fetchSchema retrieves the remote HTML payload and queries all script tags targeting the MIME type application/ld+json:

// api/fetchSchema.js (extraction pipeline)
const cheerio = require('cheerio');

module.exports = async (req, res) => {
const { url } = req.query;
const targetUrl = new URL(url);

const response = await fetch(targetUrl.toString(), {
headers: {
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) SchemaValidator/1.0',
'Accept': 'text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8'
},
signal: AbortSignal.timeout(10000)
});

const html = await response.text();
const $ = cheerio.load(html);
const schemas = [];

$('script[type="application/ld+json"]').each((_, el) => {
try {
const rawContent = $(el).html();
if (rawContent) {
const parsed = JSON.parse(rawContent.trim());
// Schema.org can be a single object, an array, or an @graph container
if (Array.isArray(parsed)) {
schemas.push(...parsed);
} else if (parsed['@graph'] && Array.isArray(parsed['@graph'])) {
schemas.push(...parsed['@graph']);
} else {
schemas.push(parsed);
}
}
} catch (parseError) {
schemas.push({
error: 'JSON Syntax Error',
details: parseError.message,
raw: $(el).html()
});
}
});

res.status(200).json({ schemas, totalFound: schemas.length });
};

2. Common RFC 8259 Syntax Pitfalls​

Because search engines reject malformed JSON without evaluating entity semantics, the tool checks for standard syntax violations:

Syntax ErrorWhy Parsers Reject ItValid Specification
Trailing CommasDisallowed by RFC 8259 JSON specRemove trailing comma after the last key-value pair
Single QuotesJSON mandates double quotes for keys and stringsUse standard " quotes: {"@type": "Article"}
Missing @contextSchema parser cannot resolve entity definitionsInclude "@context": "https://schema.org"
Unescaped Quotes in StringsPrematurely closes JSON string tokensEscape interior quotes: \"text\"
HTML Entity Encoding& instead of & inside JSON stringsKeep raw characters inside JSON script tags

3. Core Schema.org Entities Reference​

Entity TypeRequired PropertiesSearch Engine Rich Snippet Feature
Article / BlogPostingheadline, image, datePublished, authorGoogle Discover, Top Stories Carousel
SoftwareApplicationname, operatingSystem, applicationCategory, offersApp Rich Cards, pricing badge
FAQPagemainEntity (Question → acceptedAnswer)Expandable accordion snippets in SERPs
Productname, image, offers, aggregateRatingStar ratings, price, and stock availability
BreadcrumbListitemListElement (position, name, item)Breadcrumb navigation links in search listings
Organizationname, url, logo, sameAsKnowledge Graph panel, verified social profiles

4. Client-Side Security & Zero-Server Data Guarantee​

  • Direct Snippet Privacy: When pasting code into the validator, evaluation is performed 100% locally in your browser's V8 engine. No pasted data is sent over the network.
  • Ephemeral Proxy Requests: Live URL fetches do not log visited endpoints or store parsed schemas in databases.
  • SSRF Mitigation: The fetch proxy blocks requests to RFC 1918 private subnets and localhost loops.

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