Pricing

from $0.32 / 1,000 scanned pages

Structured Data Extractor - JSON-LD, Microdata, RDFa

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.

Pricing

from $0.32 / 1,000 scanned pages

Rating

0.0

(0)

Developer

Broke to Built

Actor stats

Bookmarked

Total users

Monthly active users

a day ago

Last modified

Categories

SEO tools

Developer tools

Automation

You can access the Structured Data Extractor - JSON-LD, Microdata, RDFa 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 = { "url": "https://www.apple.com/shop/buy-iphone/iphone-15-pro" }
9
10# Run the Actor and wait for it to finish
11run = client.actor("eliai/webpage-structured-data-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

JSON-LD, Microdata & RDFa Structured Data Extractor API in Python

The Apify API client for Python is the official library that allows you to use Structured Data Extractor - JSON-LD, Microdata, RDFa API in Python, providing convenience functions and automatic retries on errors.

Install the apify-client

$pip install apify-client

Other API clients include:

Structured Data Extractor - JSON-LD, Microdata, RDFa API in JavaScript

Structured Data Extractor - JSON-LD, Microdata, RDFa API through CLI

Structured Data Extractor - JSON-LD, Microdata, RDFa OpenAPI definition

Structured Data Extractor - JSON-LD, Microdata, RDFa API

Structured Data Extractor — JSON-LD, Microdata, RDFa

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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.

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Public Structured Data & Rich Results Readiness Agent

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

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Extract every piece of structured data from any URL: JSON-LD blocks by schema.org type, OpenGraph and Twitter Card tags, microdata items, canonical and meta basics. Batch over URL lists or call synchronously from AI agents.

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Schema Markup & JSON-LD Validator

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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.