You can access the Schema Markup Extractor 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

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 = {}
9
10# Run the Actor and wait for it to finish
11run = client.actor("sootesting/schema-markup-extractor").call(run_input=run_input)
12
13# Fetch and print Actor results from the run's dataset (if there are any)
14print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
15for item in client.dataset(run.default_dataset_id).iterate_items():
16    print(item)
17
18# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

Schema Markup Extractor - JSON-LD API in Python

The Apify API client for Python is the official library that allows you to use Schema Markup Extractor 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 Extractor API in JavaScript

Schema Markup Extractor API through CLI

Schema Markup Extractor OpenAPI definition

Schema Markup Extractor API

Structured Data Extractor - JSON-LD, Microdata & RDFa

scrappy_garden/structured-data-extractor

Extract and validate structured data from any web page for SEO. Parses JSON-LD, detects Microdata and RDFa, highlights schema.org types, and reports common markup issues.

Bikram Adhikari

Schema.org Extractor & Validator

ib4ngz/schema-org-extractor-validator

Extract and validate Schema.org JSON-LD, Microdata, and RDFa from HTML pages.

Iqbal R

Structured Data Extractor — JSON-LD, Microdata, RDFa

q_services/structured-data-extractor

Extract schema.org structured data (JSON-LD, Microdata, RDFa) from any URLs. Clean output for SEO audits and AI data pipelines.

Q Services

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

Structured Data Extractor - JSON-LD, Microdata, RDFa

eliai/webpage-structured-data-extractor

Extract all structured data from any page - JSON-LD, Microdata, and RDFa - plus the schema.org types found. Single or bulk. $0.0004 per page, cheaper than every paid structured-data actor measured; failed fetches are free.

Broke to Built

Schema Markup Scraper API - JSON-LD, Microdata & RDFa

pink_comic/schema-markup-extractor

Extract JSON-LD, Microdata, RDFa, schema.org types, canonical URL, Open Graph, Twitter Cards, and meta tags from public pages. Fast structured-data/SEO evidence with HTTP status, final URL, truncation, and malformed-block signals.

Ava Torres

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 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 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

Structured Data Audit (JSON-LD / schema.org)

conserving_mastodon/structured-data-audit

Extract and validate a page's JSON-LD, report the schema.org types present, and flag missing recommended properties that block rich results and AI grounding. Detects microdata, RDFa, and Open Graph too. Charged only on completed audits.