# Structured Data Validator: Schema.org JSON-LD & Rich Results (`centorprat/structured-data-schema-validator`) Actor

Give it URLs. For each it extracts the JSON-LD structured data, lists every schema.org type, and validates the required and recommended properties Google needs for rich results (Product, Article, FAQ, Recipe, Organization, Event, JobPosting and more) - with findings. Keyless, read-only.

- **URL**: https://apify.com/centorprat/structured-data-schema-validator.md
- **Developed by:** [Centor Prat](https://apify.com/centorprat) (community)
- **Categories:** SEO tools, Developer tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $17.00 / 1,000 page validateds

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes.
In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours,
and optionally produces a well-defined JSON output, datasets with results, or files in key-value store.
In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server.

Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md.

## How to integrate an Actor?

If asked about integration, you help developers integrate Actors into their projects.
You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready.

Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run.

For examples already wired to this Actor's own input schema, see the [API](#api) section below.

Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`).

# README

## Structured Data Validator: Schema.org JSON-LD & Rich Results

**Check your schema markup is valid — and eligible for rich results.** Give it URLs; for each it extracts
the **JSON-LD** structured data, lists every **schema.org type**, and validates the **required and
recommended properties** Google needs for rich results (Product, Article, FAQ, Recipe, Organization,
Event, JobPosting, Breadcrumb, Video and more). Keyless, agent-callable.

> 🧩 **Read-only.** It parses the page's JSON-LD. Validates against Google's property requirements —
> always confirm eligibility in Google's Rich Results Test.

### 📋 What each report contains

| Field | Meaning |
|---|---|
| `signal` | `valid` / `issues-found` / `no-structured-data` / `unreachable` |
| `typesFound` | Every schema.org `@type` on the page |
| `jsonLdBlocks` / `invalidJsonLdBlocks` | How many JSON-LD scripts, and how many failed to parse |
| `validations` | Per typed item: `missingRequired`, `missingRecommended`, `valid` |
| `findings` | The specific problems to fix |

### 📥 Input

```json
{ "urls": ["https://your-site.com/product", "https://your-site.com/blog/post"] }
```

### 📤 Example output (real run, trimmed)

```json
{ "finalUrl": "https://www.python.org/", "signal": "issues-found",
  "typesFound": ["SearchAction", "WebSite"], "jsonLdBlocks": 1, "itemsFound": 2,
  "validations": [ {"type": "WebSite", "valid": false, "missingRequired": ["name"]} ],
  "findings": ["WebSite is missing required: name."] }
```

(In the same run `apple.com` returned `valid` across Organization, WebSite and ContactPoint.)

### 💰 Pricing (pay-per-event)

- **Page validated — $0.02** per URL fetched.

### 💡 Use cases

- **SEO / technical SEO:** confirm Product/Article/FAQ/Recipe markup is complete for rich results.
- **E-commerce / publishers:** catch missing `offers`, `headline`, `image` before they cost you rich snippets.
- **Developers / CMS teams:** validate structured data in CI before shipping.
- **Agents:** callable as an MCP tool — give it URLs, get back schema validation.

### 🔑 Keyless & agent-callable

No API keys, no accounts, no paid child Actors — just a read-only fetch and parse.

### 🚀 Ready-made tasks (one click)

- [Schema Markup Validator - JSON-LD Rich Results Check](https://apify.com/centorprat/structured-data-schema-validator/examples/schema-markup-validator)

### 🤖 For AI agents (MCP)

```
https://mcp.apify.com/?tools=actors,docs,centorprat/structured-data-schema-validator
```

Loads as `centorprat--structured-data-schema-validator`. Claude Code:

```
claude mcp add apify -- npx -y @apify/actors-mcp-server --actors centorprat/structured-data-schema-validator
```

# Actor input Schema

## `urls` (type: `array`):

Pages to check, e.g. \["https://your-site.com/product"]. One report per URL.

## `webhookUrl` (type: `string`):

If set, results are POSTed here as JSON.

## Actor input object example

```json
{
  "urls": [
    "https://www.apple.com/"
  ]
}
```

# Actor output Schema

## `validations` (type: `string`):

One report per URL: a signal, the JSON-LD blocks and items found, every schema.org type, per-type validation (missing required/recommended properties for rich results), invalid-JSON count, and findings.

# API

You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup.

## JavaScript example

```javascript
import { ApifyClient } from 'apify-client';

// Initialize the ApifyClient with your Apify API token
// Replace the '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "urls": [
        "https://www.apple.com/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("centorprat/structured-data-schema-validator").call(input);

// Fetch and print Actor results from the run's dataset (if any)
console.log('Results from dataset');
console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
items.forEach((item) => {
    console.dir(item);
});

// 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs

```

## Python example

```python
from apify_client import ApifyClient

# Initialize the ApifyClient with your Apify API token
# Replace '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "urls": ["https://www.apple.com/"] }

# Run the Actor and wait for it to finish
run = client.actor("centorprat/structured-data-schema-validator").call(run_input=run_input)

# Fetch and print Actor results from the run's dataset (if there are any)
print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}")
for item in client.dataset(run.default_dataset_id).iterate_items():
    print(item)

# 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start

```

## CLI example

```bash
echo '{
  "urls": [
    "https://www.apple.com/"
  ]
}' |
apify call centorprat/structured-data-schema-validator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,centorprat/structured-data-schema-validator"
        }
    }
}
```

The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer <APIFY_API_TOKEN>` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations).

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/N2Ut5vEGi3cSNHcsv/builds/h2XFyJXxMa9pNeVfk/openapi.json