You can access the Schema Markup Validation Crawler 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 API & Integrations in Apify Console.

Python

JavaScript

CLI

OpenAPI

HTTP

MCP

1import { ApifyClient } from 'apify-client';
2
3// Initialize the ApifyClient with your Apify API token
4// Replace the '<YOUR_API_TOKEN>' with your token
5const client = new ApifyClient({
6    token: '<YOUR_API_TOKEN>',
7});
8
9// Prepare Actor input
10const input = {
11    "startUrls": [
12        {
13            "url": "https://example.com/"
14        }
15    ]
16};
17
18// Run the Actor and wait for it to finish
19const run = await client.actor("kayhermes/schema-markup-validation-crawler").call(input);
20
21// Fetch and print Actor results from the run's dataset (if any)
22console.log('Results from dataset');
23console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
24const { items } = await client.dataset(run.defaultDatasetId).listItems();
25items.forEach((item) => {
26    console.dir(item);
27});
28
29// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

Schema Markup Validation Crawler API in JavaScript

The Apify API client for JavaScript is the official library that allows you to use Schema Markup Validation Crawler API in JavaScript or TypeScript, providing convenience functions and automatic retries on errors.

Install the apify-client

$npm install apify-client

Other API clients include:

Schema Markup Validation Crawler API in Python

Schema Markup Validation Crawler API through CLI

Schema Markup Validation Crawler OpenAPI definition

Schema Markup Validation Crawler API

Schema Markup Extractor

happitap/schema-markup-extractor

Extract and analyze all JSON-LD schema markup from any URL for SEO competitive analysis

HappiTap

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.

Ben

Schema Markup Validator

glowing_glove/schema-markup-validator

Extract and validate JSON-LD/schema.org markup from public webpages for SEO, ecommerce, SaaS, and publisher audits.

Ushba Khan

Schema Markup Generator — JSON-LD Structured Data

perryay/schema-markup-generator

Generate Google-approved JSON-LD structured data for 30+ Schema.org types. Supports SEO schema like Article, Product, FAQ, Event, LocalBusiness, and more.

Perry AY

Schema Markup & JSON-LD Validator

maximedupre/schema-markup-validator

Validate schema markup on public pages and save one audit row for each successfully fetched page. Get JSON-LD, Microdata, RDFa, metadata, issue details, and rich-result readiness signals in an Apify dataset.

Maxime Dupré

Schema Markup Scraper - PPE

wisteria_banjo/schema-markup-scraper---ppe

This actor to fetches JSON-LD/Schema Markup from Multiple URLs & checks whether the page contains markups for the following types: AggregateRating, Article, Event, FAQPage, LocalBusiness, Organization, Person, Product, & Review. Schema Markup helps search and generative engines find & read webpages.

Chris Xavier

SEO/GEO - Schema Markup Scraper

wisteria_banjo/schema-markup-scraper

Chris Xavier

Schema Markup Extractor

sootesting/schema-markup-extractor

Extract and validate structured data from any page: JSON-LD blocks, schema.org types, Microdata, RDFa. Outputs structured JSON. Pay-per-event.

soot

Bulk Schema Markup & JSON-LD Validator

snapperwapper/schema-markup-validator-bulk

Extract and validate JSON-LD, Schema.org types, Open Graph, and Twitter Card metadata from up to 1,000 webpages with structured issue reporting.

snapperwapper

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.