# Structured Data Scraper (Schema.org) (`datavault/schemaorg`) Actor

Fast, lightweight scraper that extracts structured data (JSON-LD & microdata) from HTML pages. Ideal for e-commerce and sites that embed schema.org markup without heavy client-side rendering.

- **URL**: https://apify.com/datavault/schemaorg.md
- **Developed by:** [Datavault](https://apify.com/datavault) (community)
- **Categories:** Automation, E-commerce, Other
- **Features:** Limited permissions
- **Stats:** 58 total users, 3 monthly users, 100.0% runs succeeded, 1 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.20 / 1,000 page fetches

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

## Structured Data Scraper (Schema.org)

Fast  scraper optimized for sites that follows schema.org structured data without heavy client-side rendering.  It is great for e-commerce sites.

**Speed first.** Lightweight because it parses static HTML instead of launching a browser. Pages that require client-side rendering may need a headless browser (for example Playwright or Puppeteer).

### What you get

- Schema.org payloads collected from JSON-LD `<script>` tags and microdata attributes.
- Final URL, status code, and page title for quick validation.
- Dataset output suitable for feeding into validation tools or downstream pipelines.

### Input

Provide at least one URL via `url` (string, array, or Apify request object) or `urls` (array). Optional settings:

- `maxRequestsPerCrawl` – stop the crawl after N requests (defaults to the number of provided URLs).
- `proxyConfiguration` – standard Apify proxy configuration block.

### Output

Each dataset item contains:

- `inputUrl`, `loadedUrl`, `statusCode`, `title`, `retrievedAt`
- `schema.jsonLd` – parsed JSON-LD blocks
- `schema.microdata` – microdata trees normalised into nested objects

#### Sample `INPUT.json`

```json
{
    "url": [
        {
            "url": "https://schema.dev/blog/schema-markup-builder-video-walkthroughs/"
        },
        {
            "url": "https://schema.dev/blog/schema-seo-boost-your-websites-visibility-with-structured-data/"
        },
        {
            "url": "https://schema.dev/blog/schema-tests-unleashing-the-full-potential-of-your-seo-strategy/"
        },
        {
            "url": "https://schema.dev/blog/understanding-product-schema-a-key-to-better-product-visibility-online/"
        },
        {
            "url": "https://schema.dev/blog/5-types-of-schema-markup-every-legal-service-should-use-for-seo/"
        }
    ]
}
```

# Actor input Schema

## `url` (type: `array`):

An array of RequestList sources. Each entry must include at least the "url" field.

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

Stop the run after this many requests. Defaults to the number of provided URLs.

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

Use Apify Proxy (e.g. residential pools) when the target blocks direct connections.

## Actor input object example

```json
{
  "url": [
    {
      "url": "https://schema.dev/blog/schema-markup-builder-video-walkthroughs/"
    }
  ]
}
```

# 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": [
        {
            "url": "https://schema.dev/blog/schema-markup-builder-video-walkthroughs/"
        }
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("datavault/schemaorg").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": [{ "url": "https://schema.dev/blog/schema-markup-builder-video-walkthroughs/" }] }

# Run the Actor and wait for it to finish
run = client.actor("datavault/schemaorg").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": [
    {
      "url": "https://schema.dev/blog/schema-markup-builder-video-walkthroughs/"
    }
  ]
}' |
apify call datavault/schemaorg --silent --output-dataset

```

## MCP server setup

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

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/pmxlDYCoEmKdM3Q4w/builds/Y8KIRc35cBMst7aL8/openapi.json