You can access the Schema Markup Validator programmatically from your own applications by using the Apify API. You can also choose the language preference from below. To use the Apify API, you’ll need an Apify account and your API token, found in Integrations settings in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1from apify_client import ApifyClient
2
3# Initialize the ApifyClient with your Apify API token
4# Replace '<YOUR_API_TOKEN>' with your token.
5client = ApifyClient("<YOUR_API_TOKEN>")
6
7# Prepare the Actor input
8run_input = { "pages": [
9        "https://apify.com",
10        "https://www.shopify.com",
11    ] }
12
13# Run the Actor and wait for it to finish
14run = client.actor("glowing_glove/schema-markup-validator").call(run_input=run_input)
15
16# Fetch and print Actor results from the run's dataset (if there are any)
17print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"])
18for item in client.dataset(run["defaultDatasetId"]).iterate_items():
19    print(item)
20
21# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Schema Markup Validator API in Python

The Apify API client for Python is the official library that allows you to use Schema Markup Validator API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Schema Markup Validator API in JavaScript

Schema Markup Validator API through CLI

Schema Markup Validator OpenAPI definition

Schema Markup Validator API

Schema.org Markup Validator

scrappy_garden/schema-org-markup-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.

Bikram Adhikari

Schema Markup Validator

automation-lab/schema-markup-validator

Validate JSON-LD, Microdata, RDFa, Open Graph, and Twitter Cards across public pages and sitemaps for bulk structured-data SEO QA.

Stas Persiianenko

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.

Maxime Dupré

⚡ Page Speed Analyzer — Lighthouse & Web Vitals

nexgendata/page-speed-analyzer

Run Google Lighthouse audits at scale — Core Web Vitals, performance scores, SEO analysis. Track site speed across all pages.

NexGenData

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.

BowTiedRaccoon

Glama MCP Registry Scraper

maximedupre/glama-mcp-registry-scraper

Scrape Glama MCP registry servers from catalog, search, or server IDs. Export source-backed MCP server metadata, environment schema, repository facts, and readiness fields.

Maxime Dupré

Seo Schema Validator

naive_zing/seo-schema-validator

Bulk validate schema markup and JSON-LD across your entire website by crawling sitemaps. Generate agency-ready SEO health reports with per-page health scores for improved rich results and technical SEO audits.

Wyald

Schema Markup & JSON-LD Scraper - Structured Data API

pink_comic/schema-markup-extractor

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.

Ava Torres

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,...

Stas Persiianenko