Schema.org / JSON-LD Validator

Validate Schema.org structured data for SEO. Parses JSON-LD, detects Microdata and RDFa, highlights schema types, and reports common issues like invalid JSON-LD, missing @type, non-schema.org @context, and missing key properties for popular schema types.

Extract structured JSON-LD and Schema.org data from any web page. Pull products, articles, breadcrumbs, and rich results for SEO and data work.

Extract structured microdata (JSON-LD) from webpages to audit SEO schema implementations and rich snippets.

Structured Data Validator (JSON-LD / OG)

jungle_synthesizer/structured-data-validator-pro

Extract and validate structured data from any URL: JSON-LD, Open Graph, Twitter Cards, microdata, RDFa, meta tags. Local schema.org validation. Flags Google rich-result eligibility and AI-discovery readiness. Pure HTTP. Built for SEO audits and structured-data debugging at scale.

Extract Schema.org JSON-LD structured data from any website. Fast, lightweight HTTP-based scraper that pulls all JSON-LD scripts - perfect for SEO analysis, product data extraction, and AI/RAG pipelines. No browser overhead.

Extract schema markup, JSON-LD, Open Graph, Twitter Cards, and meta tags from any URL. Structured data scraper/API for SEO audits, rich result checks, schema validation, and competitor research.

Schema Markup Extractor - JSON-LD SEO Data

benthepythondev/schema-markup-extractor

Extract Schema.org JSON-LD structured data from web pages, including schema types, nodes, block counts and parse errors.

JSON-LD Validator

automation-lab/jsonld-validator

This actor validates JSON-LD structured data on web pages. It extracts all `<script type="application/ld+json">` blocks, validates JSON syntax, checks for required properties (@context, @type), and verifies recommended fields for known Schema.org types like Product, Article, Organization,...

Schema Markup Validator

maximedupre/schema-markup-validator

Validate schema markup on public pages. Extract JSON-LD, Microdata, RDFa, Open Graph, Twitter Cards, meta tags, schema.org types, issue counts, and rich-result readiness signals.

Audit public JSON-LD, Microdata, RDFa, Schema.org types, rich-result candidate signals, missing recommended fields, and change hashes with useful-result pricing.