# Structured Data Extractor (JSON-LD, Schema.org) (`fieldfeed/structured-data-extractor`) Actor

Get product prices, stock, ratings, company names, addresses, phones and article dates from any list of web pages. Reads the JSON-LD / Schema.org data sites publish for Google. No selectors needed.

- **URL**: https://apify.com/fieldfeed/structured-data-extractor.md
- **Developed by:** [Rama Y](https://apify.com/fieldfeed) (community)
- **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/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 Extractor (JSON-LD, Schema.org, Open Graph)

Most websites publish clean, machine-readable data for Google: product prices, stock, ratings, company names, addresses, phone numbers, opening hours, article dates. This Actor reads that data from any list of pages and returns it as a tidy table.

No CSS selectors to write, and nothing breaks when a site's design changes.

### What you get

One row per entity found on each page:

| Type | Typical columns |
|---|---|
| Product | name, price, currency, availability, brand, SKU/GTIN, rating, review count, image |
| Organization / LocalBusiness | name, address, telephone, opening hours, price range, social profiles |
| Article / BlogPosting | headline, author, published and modified dates |
| Anything else (Event, Recipe, JobPosting...) | name, description, url, plus the full raw JSON-LD |

Also included: page title, Open Graph and Twitter tags, and a clear status for every page (ok, no structured data, error, blocked by robots.txt).

### Use cases

- **Ecommerce:** competitor prices and stock, catalog exports, product feed checks
- **SEO:** audit which pages have valid schema markup and which don't
- **Lead research:** company names, addresses and phone numbers published on business websites
- **Content research:** article dates and authors across many sites

### Input

- **Page URLs** (required): any public pages
- **Only these types** (optional): for example `Product` or `LocalBusiness`
- **Include full raw JSON-LD**: keep the original data next to the flat columns
- **Max pages**, **Parallel pages**

### Pricing

You pay per result row. Pages with no structured data still return one status row so you can see what happened.

### Good to know

- Reads the page HTML as delivered. Data added later by JavaScript, login-only pages and sites that block automated visitors aren't covered.
- Respects robots.txt and keeps request rates polite.
- Returns only what sites publish publicly for search engines.

# Actor input Schema

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

Pages to read. Product pages, company homepages, store locator pages, articles, any public URL.

## `types` (type: `array`):

Keep only entities of these types, for example Product, Organization, LocalBusiness, Article, Event, Recipe, JobPosting. Leave empty to keep everything.

## `maxUrls` (type: `integer`):

Safety limit on how many pages are read in one run.

## `includeRawData` (type: `boolean`):

Adds the complete original entity in a 'data' column next to the flat columns.

## `includeOpenGraph` (type: `boolean`):

Adds og: and twitter: meta tags (title, image, description) for each page.

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

How many pages are read at the same time. Keep it low to be polite to websites.

## Actor input object example

```json
{
  "startUrls": [
    {
      "url": "https://www.apify.com"
    }
  ],
  "maxUrls": 1000,
  "includeRawData": true,
  "includeOpenGraph": true,
  "maxConcurrency": 5
}
```

# Actor output Schema

## `results` (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://www.apify.com"
        }
    ]
};

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

# Run the Actor and wait for it to finish
run = client.actor("fieldfeed/structured-data-extractor").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://www.apify.com"
    }
  ]
}' |
apify call fieldfeed/structured-data-extractor --silent --output-dataset

```

## MCP server setup

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

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/n27n9OBhCTvYIR1tb/builds/BjwaNxpC3ScZegHCn/openapi.json