# Structured Data, Schema.org & Open Graph Extractor (`veedel_digital/structured-data`) Actor

Extract JSON-LD, schema.org types, microdata, Open Graph, Twitter Cards and hreflang from any list of URLs or a whole website. Flags broken JSON-LD and missing social preview tags. No proxies, pay per page.

- **URL**: https://apify.com/veedel_digital/structured-data.md
- **Developed by:** [Tim Tonat](https://apify.com/veedel_digital) (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 $2.00 / 1,000 pages

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?

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

### What does Structured Data, Schema.org & Open Graph Extractor do?

This Actor **extracts structured data and social meta tags from web pages in bulk**. Give it a list of URLs, or one homepage with *Crawl whole website* enabled, and get **one row per page** with:

- all **JSON-LD** blocks, parsed, and every **schema.org type** used (also nested ones and `@graph`)
- **Microdata** types (`itemtype`)
- all **Open Graph** tags (`og:title`, `og:image`, …) and **Twitter Card** tags
- **hreflang** alternates, canonical, meta robots, title, description and `lang`
- **issue codes** for broken JSON-LD and missing social preview tags

No proxies and no browser, so runs are fast and cheap.

### Why use this schema markup extractor?

- **SEO agencies**: check which pages of a client site have `LocalBusiness`, `Product`, `FAQPage` or `BreadcrumbList` markup, and which have none
- **Find broken JSON-LD**: a single trailing comma makes Google ignore the whole block. This Actor reports the parse error
- **Fix link previews**: find pages without `og:image` or with a relative `og:image` URL, which WhatsApp, LinkedIn and Facebook can't load
- **Competitor research**: see which structured data your competitors use
- **E-commerce and data teams**: collect product, offer and review data that shops publish as JSON-LD
- **Pay per page**: you control the cost with *Max pages*

### What does it check?

| Issue code | Meaning |
|---|---|
| `JSON_LD_INVALID` | A JSON-LD block is not valid JSON (see `jsonLdErrors`) |
| `STRUCTURED_DATA_MISSING` | No JSON-LD and no microdata on the page |
| `OG_TITLE_MISSING`, `OG_DESCRIPTION_MISSING`, `OG_URL_MISSING` | Open Graph tag missing |
| `OG_IMAGE_MISSING` | No preview image for social media and messengers |
| `OG_IMAGE_NOT_ABSOLUTE` | `og:image` is a relative URL, most platforms ignore it |
| `TWITTER_CARD_MISSING` | No `twitter:card` tag (X/Twitter falls back to a small preview) |
| `HTTP_404`, `HTTP_403`, … | Page returned an error |
| `UNREACHABLE` | Page could not be loaded at all (DNS error, timeout) |

The Actor extracts and checks syntax. It does not judge whether Google will show a rich result. For that, test single pages in the Google Rich Results Test.

### How to extract structured data from a website

1. Click **Try for free**.
2. Paste your URLs into **URLs**, or enter a homepage and enable **Crawl whole website**.
3. Set **Max pages** (start with 100).
4. Click **Start**.
5. Open the **Overview** table, or download everything as JSON, CSV or Excel.

### How much does it cost?

This Actor uses **pay per event**: a fixed price **per extracted page**, and **platform usage is included**. The current price is shown in the **Pricing** tab. Pages that return an error or can't be reached are not charged. With *Max pages* you always know the maximum cost in advance.

### Input

See the **Input** tab for all options.

```json
{
    "startUrls": [{ "url": "https://example.com/" }],
    "crawlSite": true,
    "maxPages": 100,
    "respectRobotsTxt": true
}
```

### Output

You can download the dataset in various formats such as JSON, HTML, CSV, or Excel.

```json
{
    "url": "https://example.com/",
    "statusCode": 200,
    "issues": ["TWITTER_CARD_MISSING"],
    "title": "Example Company | Plumbing in Cologne",
    "canonical": "https://example.com/",
    "lang": "en",
    "schemaTypes": ["LocalBusiness", "PostalAddress", "OpeningHoursSpecification", "WebSite"],
    "microdataTypes": [],
    "jsonLdBlocks": 1,
    "jsonLdErrors": [],
    "openGraph": {
        "og:title": "Example Company",
        "og:description": "Plumbing and heating in Cologne",
        "og:image": "https://example.com/og/home.jpg",
        "og:url": "https://example.com/"
    },
    "twitter": {},
    "hreflang": [{ "lang": "de", "url": "https://example.com/de/" }],
    "jsonLd": [{ "@context": "https://schema.org", "@type": "LocalBusiness", "name": "Example Company" }]
}
```

### Related Actors

Combine it with the SEO Site Audit: the audit finds pages without structured data, this Actor shows exactly what each page contains.

- [SEO Site Audit & Broken Link Checker](https://apify.com/veedel_digital/seo-audit): crawl a whole website and find on-page SEO issues and broken pages
- [PageSpeed Insights & Core Web Vitals Bulk Audit](https://apify.com/veedel_digital/pagespeed-audit): Lighthouse scores and real-user Core Web Vitals for many URLs
- [PDF to Text with OCR](https://apify.com/veedel_digital/pdf-to-text): extract text from PDFs in bulk, scanned pages included

### FAQ

#### Does it work with JavaScript-rendered markup?

The Actor reads the HTML the server delivers. JSON-LD that is injected only by JavaScript in the browser (some tag managers and single-page apps) is not found. Google can see it after rendering, but many other crawlers and link preview bots can't.

#### Will it overload my server?

No. It follows `robots.txt` by default and uses at most 10 parallel requests.

#### Something does not work

Please open an issue in the **Issues** tab with the URL and the run ID. You can also start the Actor programmatically from the **API** tab.

# Actor input Schema

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

Pages to extract. Add many URLs, or one homepage and enable "Crawl whole website".

## `crawlSite` (type: `boolean`):

Follow internal links on the same hostname and extract every page found.

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

Maximum number of pages to extract (each extracted page is charged).

## `respectRobotsTxt` (type: `boolean`):

Skip pages disallowed by the site's robots.txt.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://apify.com"
    }
  ],
  "crawlSite": false,
  "maxPages": 100,
  "respectRobotsTxt": true
}
```

# Actor output Schema

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

Dataset with all extracted pages

# 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://apify.com"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("veedel_digital/structured-data").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://apify.com" }] }

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

```

## MCP server setup

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

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/yg87EZFEqtryWTEE1/builds/rQW5EFqNpilKecmVY/openapi.json