# Structured Data Audit (JSON-LD / schema.org) (`conserving_mastodon/structured-data-audit`) Actor

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.

- **URL**: https://apify.com/conserving\_mastodon/structured-data-audit.md
- **Developed by:** [Chris Arsenault](https://apify.com/conserving_mastodon) (community)
- **Categories:** SEO tools, AI, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

$250.00 / 1,000 completed audits

This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events.

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

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.
Actors are written with capital "A".

## 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.
The best way to integrate Actors is as follows.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — the [REST API](https://docs.apify.com/api/v2.md).

For usage examples, see the [API](#api) section below.

For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt).

# README

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

**What do search engines and AI actually understand about this page?** Structured data is how a page tells machines what it *is* — an article, a product, an organization, an FAQ. This Actor extracts a page's JSON-LD, validates it, reports the schema.org types present, and flags the missing recommended properties that quietly disqualify a page from rich results and weaken how AI assistants ground on it.

### What you get

Summary plus one row per typed object:

```json
{
  "url": "https://example.com/product/",
  "jsonld_blocks": 2,
  "jsonld_parse_errors": 0,
  "schema_types": ["BreadcrumbList", "Product", "Offer"],
  "incomplete_types": 1,
  "has_open_graph": true,
  "fixes": ["Product is missing recommended property: image"]
}
```

```json
{ "schema_type": "Product", "complete": false, "missing_recommended": ["image"] }
```

### Why it matters now

Rich results (stars, prices, FAQs in search) depend on complete, valid structured data — and AI assistants increasingly read JSON-LD to understand and cite pages accurately. A single invalid JSON-LD block is skipped silently; a missing recommended property costs a rich result nobody knows they lost. This audit surfaces both.

### Use cases

- **SEO teams**: verify rich-result eligibility across templates; catch a JSON-LD change that broke parsing.
- **Agents grounding on pages**: check whether a page exposes machine-readable facts before relying on scraped text.
- **Publishers optimizing for AI answers**: complete structured data is one of the few levers that helps.

### Honesty notes

- Audits JSON-LD (validated), and detects the presence of microdata, RDFa, and Open Graph.
- Reads the static HTML — the same view search and AI crawlers get; JSON-LD injected purely client-side is out of scope, as it is for those crawlers too.
- Unreachable pages report cleanly and **you are not charged**; billing is per completed audit.

Built by 1450 Enterprises, alongside the AI Access Audit and llms.txt Generator.

# Actor input Schema

## `url` (type: `string`):

The page whose structured data (JSON-LD, microdata, RDFa) is audited.

## Actor input object example

```json
{
  "url": "https://www.apify.com"
}
```

# Actor output Schema

## `results` (type: `string`):

Summary: JSON-LD block and parse-error counts, schema types found, microdata/RDFa/Open Graph presence, fixes. Then one row per typed object with its missing recommended properties.

# 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 = {
    "url": "https://www.apify.com"
};

// Run the Actor and wait for it to finish
const run = await client.actor("conserving_mastodon/structured-data-audit").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 = { "url": "https://www.apify.com" }

# Run the Actor and wait for it to finish
run = client.actor("conserving_mastodon/structured-data-audit").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 '{
  "url": "https://www.apify.com"
}' |
apify call conserving_mastodon/structured-data-audit --silent --output-dataset

```

## MCP server setup

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

```

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/9tI4tv33bG1LifEef/builds/ZOwyQA2Eu0R1Wj7hd/openapi.json