# Schema Markup Extractor (`happitap/schema-markup-extractor`) Actor

Extract and analyze all JSON-LD schema markup from any URL for SEO competitive analysis

- **URL**: https://apify.com/happitap/schema-markup-extractor.md
- **Developed by:** [HappiTap](https://apify.com/happitap) (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 $5.00 / 1,000 results

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/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 Extractor

Extract and analyze all JSON-LD schema markup from any URL for SEO competitive analysis.

An intelligent, Apify-ready Actor that seamlessly extracts data. Built with advanced tools and robust configurations to bypass modern protections and deliver structured data at scale.

### Features

- **Scalable Data Extraction**: Efficiently crawls and extracts targeted information from the source website.
- **Automated Anti-Bot Evasion**: Configured out of the box to bypass basic bot protections. (Note: For aggressive protections, Apify Residential proxies may be required).
- **Auto-Abort Margin Protection**: Features a built-in 270s kill switch to ensure your scraper gracefully exits and pushes its dataset before encountering a hard timeout from Apify.

### Input Configuration

This actor expects a JSON input configuration. Please refer to the Apify Console or the local `input_schema.json` for the full list of supported parameters, which typically include search terms, URLs, limits, and proxy settings.

### Output Structure

The scraper pushes the extracted data to the Apify default dataset.

### How It Works

The Actor utilizes modern Node.js scraping libraries (like `PlaywrightCrawler` or `CheerioCrawler`) to emulate real user interaction or perform fast HTTP requests, extracting structured data and pushing it directly to your dataset.

# Actor input Schema

## `startUrls` (type: `array`):

List of URLs to extract schema markup from.

## `crawlLinks` (type: `boolean`):

If enabled, the crawler will also follow and extract schema from internal links found on the provided pages.

## `maxPages` (type: `integer`):

Limit the maximum number of pages to crawl.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://schema.org/"
    }
  ],
  "crawlLinks": false
}
```

# Actor output Schema

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

Extracted data items stored in the default dataset.

# 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 = {
    "startUrls": [
        {
            "url": "https://schema.org/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("happitap/schema-markup-extractor").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 = { "startUrls": [{ "url": "https://schema.org/" }] }

# Run the Actor and wait for it to finish
run = client.actor("happitap/schema-markup-extractor").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 '{
  "startUrls": [
    {
      "url": "https://schema.org/"
    }
  ]
}' |
apify call happitap/schema-markup-extractor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/acts/wa1eApY2WjYBzKQK0/builds/sv1mf4LKmMTWB4TpI/openapi.json