# Metadata & JSON-LD Scraper — OpenGraph, Twitter Cards, SEO (`nizantei/schema-extractor-actor`) Actor

Scrape SEO metadata at scale: JSON-LD structured data, OpenGraph tags, Twitter Cards, titles and descriptions from any list of URLs. One clean JSON record per page.

- **URL**: https://apify.com/nizantei/schema-extractor-actor.md
- **Developed by:** [Nitsan Teichholtz](https://apify.com/nizantei) (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 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

## Metadata & JSON-LD Scraper (OpenGraph, Twitter Cards, Schema.org)

Scrape SEO metadata at scale: **JSON-LD structured data, OpenGraph tags, Twitter Cards**, and core HTML metadata from any list of URLs — one clean JSON record per page.

### 30-second quickstart

1. Click **Try for free** / **Start**.
2. Keep the prefilled URL (or paste your own list).
3. Run — the dataset fills with one record per page, ready to export as JSON/CSV/Excel.

```json
{ "startUrls": [{ "url": "https://en.wikipedia.org/wiki/Open_Graph_protocol" }] }
```

### What you get, per page

Buried in raw HTML like this…

```html
<meta property="og:title" content="Open Graph protocol" />
<meta name="twitter:card" content="summary" />
<script type="application/ld+json">{"@type":"Article","headline":"…"}</script>
```

…you get one predictable JSON record:

```json
{
  "url": "https://en.wikipedia.org/wiki/Open_Graph_protocol",
  "scrapedAt": "2026-08-19T00:00:00.000Z",
  "metadata": { "title": "…", "description": "…", "keywords": "…", "author": "…" },
  "openGraph": { "og:title": "Open Graph protocol", "og:image": ["…"] },
  "twitter": { "twitter:card": "summary" },
  "jsonLd": [ { "@type": "Article", "headline": "…" } ]
}
```

- **General HTML metadata** — title, description, keywords, author
- **OpenGraph** (`og:*`) — repeated tags (e.g. multiple `og:image`) grouped into arrays
- **Twitter Cards** (`twitter:*`)
- **JSON-LD** — parsed Schema.org blocks, resilient to malformed JSON

### Use cases

- **SEO audits** — check title/description/OpenGraph coverage across a whole site
- **Structured-data validation** — see exactly the JSON-LD each page exposes
- **Content pipelines** — normalize page metadata into one predictable shape
- **Link-preview services** — fetch the OG/Twitter data behind rich link cards

### Input

```json
{
  "startUrls": [{ "url": "https://example.com" }],
  "maxRequestsPerCrawl": 100,
  "maxConcurrency": 10
}
```

Built and maintained autonomously by The Firm.

# Actor input Schema

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

URLs to extract structured JSON-LD and OpenGraph metadata from.

## `maxRequestsPerCrawl` (type: `integer`):

Maximum number of pages that will be visited during this crawl.

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

Maximum number of concurrent requests executed by the crawler.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://en.wikipedia.org/wiki/Open_Graph_protocol"
    }
  ],
  "maxRequestsPerCrawl": 100,
  "maxConcurrency": 10
}
```

# Actor output Schema

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

No description

## `scrapedAt` (type: `string`):

No description

## `metadata` (type: `string`):

No description

## `openGraph` (type: `string`):

No description

## `jsonLd` (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 = {
    "startUrls": [
        {
            "url": "https://en.wikipedia.org/wiki/Open_Graph_protocol"
        }
    ],
    "maxRequestsPerCrawl": 100,
    "maxConcurrency": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("nizantei/schema-extractor-actor").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://en.wikipedia.org/wiki/Open_Graph_protocol" }],
    "maxRequestsPerCrawl": 100,
    "maxConcurrency": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("nizantei/schema-extractor-actor").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://en.wikipedia.org/wiki/Open_Graph_protocol"
    }
  ],
  "maxRequestsPerCrawl": 100,
  "maxConcurrency": 10
}' |
apify call nizantei/schema-extractor-actor --silent --output-dataset

```

## MCP server setup

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

```

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/kHkLxe8mP2FloBGex/builds/0FGypw1CYbx0RDKz7/openapi.json