# Schema Markup Validator (`glowing_glove/schema-markup-validator`) Actor

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

- **URL**: https://apify.com/glowing\_glove/schema-markup-validator.md
- **Developed by:** [Ushba Khan](https://apify.com/glowing_glove) (community)
- **Categories:** Automation, Lead generation
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $26.00 / 1,000 validated pages

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

## Schema Markup Validator

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

This actor is built for practical SEO, sales, marketing, research, and automation workflows. It accepts simple URL lists and returns clean dataset rows that can be exported to CSV, Excel, CRM tools, BI dashboards, or downstream Apify integrations.

### Best for

- Agencies auditing client websites
- SaaS and ecommerce teams monitoring competitors
- Lead generation teams qualifying public websites
- SEO teams finding technical and content opportunities
- Operators running scheduled website checks

### Input

Add one or more public URLs, choose sensible limits, and enable Apify Proxy only when targets block regular cloud traffic.

### Output

Each processed URL returns one structured dataset row with status, domain, final URL, timestamps, and actor-specific findings. Failed URLs return a clear error message instead of breaking the whole run.

### Pricing

Recommended Pay-Per-Event event: `validatedPage`

Recommended launch price: `$0.012` per validated page.

The event is charged after a URL/site/feed is processed and a dataset row is delivered. This keeps billing aligned with actual buyer value.

# Actor input Schema

## `pages` (type: `array`):

Enter public page urls to process.

## `maxPagesPerSite` (type: `integer`):

Maximum number of same-site pages to inspect when the actor needs page discovery.

## `maxLinksPerSite` (type: `integer`):

Maximum number of links to check for link-audit actors.

## `maxItemsPerFeed` (type: `integer`):

Maximum feed items to return per discovered RSS/Atom feed.

## `requestTimeoutSecs` (type: `integer`):

Timeout for each HTTP request in seconds.

## `maxConcurrency` (type: `integer`):

How many URLs to process in parallel.

## `proxyConfiguration` (type: `object`):

Use Apify Proxy if target websites block datacenter traffic.

## Actor input object example

```json
{
  "pages": [
    "https://apify.com",
    "https://www.shopify.com"
  ],
  "maxPagesPerSite": 4,
  "maxLinksPerSite": 40,
  "maxItemsPerFeed": 20,
  "requestTimeoutSecs": 20,
  "maxConcurrency": 4,
  "proxyConfiguration": {
    "useApifyProxy": false
  }
}
```

# Actor output Schema

## `overview` (type: `string`):

No description

## `summary` (type: `string`):

No description

# 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 = {
    "pages": [
        "https://apify.com",
        "https://www.shopify.com"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("glowing_glove/schema-markup-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 = { "pages": [
        "https://apify.com",
        "https://www.shopify.com",
    ] }

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

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

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

```

## CLI example

```bash
echo '{
  "pages": [
    "https://apify.com",
    "https://www.shopify.com"
  ]
}' |
apify call glowing_glove/schema-markup-validator --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=glowing_glove/schema-markup-validator",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/XHLfR7ecrBBeo48Wq/builds/NyUbbZObAR8bpJxww/openapi.json