# JSON-LD Extractor - Schema.org Structured Data & Rich Snippets (`ninhothedev/json-ld-extractor`) Actor

$0.5/1K 🔥 JSON-LD structured data extractor! Pull Schema.org markup — products, articles, recipes & events — from any URL. No API key. Export JSON, CSV, Excel or API in seconds. Perfect for SEO audits & RAG ⚡

- **URL**: https://apify.com/ninhothedev/json-ld-extractor.md
- **Developed by:** [ninhothedev](https://apify.com/ninhothedev) (community)
- **Categories:** Developer tools, SEO tools
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.50 / 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.

In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js/docs.md):

```bash
npm install apify-client
```

In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.md):

```bash
pip install apify-client
```

In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md):

````bash
# MacOS / Linux
curl -fsSL https://apify.com/install-cli.sh | bash
# Windows
irm https://apify.com/install-cli.ps1 | iex
```bash

In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/integrations/mcp.md).

If your project is in a different language, use 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

## JSON-LD Structured Data Extractor 🧩

**Extract the schema.org structured data that any website already publishes for Google — Product, Article, Recipe, Event and more — as clean JSON. No API key. Datacenter-proxy friendly.**

Modern sites embed machine-readable structured data (`<script type="application/ld+json">` and HTML microdata) so search engines can build rich results. This Actor reads exactly that publicly-published markup and hands it back to you as one dataset item per schema.org entity — flattening `@graph` blocks, handling arrays, and skipping malformed JSON automatically.

Perfect for SEO audits, rich-result debugging, product/recipe extraction, and feeding clean entities into RAG / LLM pipelines.

---

### ✨ What it does

- Fetches each URL with a real Chrome TLS fingerprint (`curl_cffi` chrome124) and a plain `urllib` fallback.
- Parses **every** `application/ld+json` block on the page — `json.loads` each, handling arrays and `@graph`.
- **Flattens `@graph`** into individual entities (a single WordPress/Yoast block often expands to Article + WebPage + BreadcrumbList + Organization + Recipe).
- Optional **microdata** extraction (`itemscope` / `itemprop`) — used automatically as a fallback when a page has no JSON-LD.
- Returns each entity tagged with its source URL, its `@type`, and a best-effort `name`.

### 📥 Input

| Field | Type | Default | Description |
|-------|------|---------|-------------|
| `mode` | select | `extract` | Operation mode (only `extract` today). |
| `urls` | array | — | Page URLs to extract from. `https://` is added if missing. |
| `includeMicrodata` | boolean | `false` | Also extract legacy HTML microdata. Off = microdata used only as a fallback. |
| `maxItems` | integer | `100` | Max entities to output across all URLs (max 1000). |

```json
{
  "mode": "extract",
  "urls": [
    "https://www.allrecipes.com",
    "https://www.apple.com/iphone-15-pro/"
  ],
  "includeMicrodata": false,
  "maxItems": 100
}
````

### 📤 Output

One dataset item per top-level schema.org entity:

```json
{
  "url": "https://www.loveandlemons.com/guacamole-recipe/",
  "schema_type": "Recipe",
  "name": "Best Guacamole Recipe",
  "data": { "@context": "https://schema.org", "@type": "Recipe", "recipeIngredient": ["..."], "...": "full JSON-LD object" },
  "source": "json-ld",
  "scraped_at": "2026-07-23T12:00:00+00:00"
}
```

- `schema_type` — the raw `@type` (string **or** array, preserved as published).
- `name` — `name` / `headline` / `title`, whichever is present (nullable).
- `data` — the **full** structured-data object, untouched.
- `source` — `json-ld` or `microdata`.

All fields are nullable. Pages with no structured data are skipped with a warning.

### 💡 Use cases

- **SEO structured-data audits** — see exactly what Google sees on every page.
- **Product / recipe extraction** — pull prices, ratings, ingredients, steps straight from the source markup.
- **RAG enrichment** — clean, typed entities for embeddings and LLM context.
- **Rich-result debugging** — verify Product, FAQ, Recipe, Event, Breadcrumb markup before it hits Search Console.

### 💰 Pricing

Pay-per-result, roughly **~$0.50 per 1,000 entities** extracted, plus Apify platform usage. Datacenter proxies are fine — no residential proxy or login required.

### 🔗 Related actors by ninhothedev

- [OpenGraph & Metadata Extractor](https://apify.com/ninhothedev/opengraph-metadata-extractor)
- [SEO On-Page Auditor](https://apify.com/ninhothedev/seo-onpage-auditor)
- [Smart Article Extractor](https://apify.com/ninhothedev/smart-article-extractor)
- [Shopify Store Scraper](https://apify.com/ninhothedev/shopify-store-scraper)

### 🏷️ Keywords

json-ld, structured data, schema.org, microdata, rich results, seo audit, product schema, recipe schema, article schema, event schema, rich snippets, google rich results, rag, metadata extractor, web scraping

***

*This tool only reads data that websites publish publicly for search engines. Respect each site's Terms of Service and robots.txt.*

# Actor input Schema

## `mode` (type: `string`):

Operation mode. 'extract' fetches each URL and returns its publicly-published schema.org structured data as one item per top-level entity.

## `urls` (type: `array`):

List of page URLs to extract structured data from. Any public product, article, recipe, or event page works. Missing https:// is added automatically.

## `includeMicrodata` (type: `boolean`):

Also extract legacy HTML microdata (itemscope/itemprop). When off, microdata is only used as a fallback for pages that publish no JSON-LD.

## `maxItems` (type: `integer`):

Maximum number of structured-data entities to output across all URLs. Protects your run from very large pages.

## Actor input object example

```json
{
  "mode": "extract",
  "urls": [
    "https://www.allrecipes.com",
    "https://www.apple.com/iphone-15-pro/"
  ],
  "includeMicrodata": false,
  "maxItems": 100
}
```

# 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 = {
    "urls": [
        "https://www.allrecipes.com",
        "https://www.apple.com/iphone-15-pro/"
    ]
};

// Run the Actor and wait for it to finish
const run = await client.actor("ninhothedev/json-ld-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 = { "urls": [
        "https://www.allrecipes.com",
        "https://www.apple.com/iphone-15-pro/",
    ] }

# Run the Actor and wait for it to finish
run = client.actor("ninhothedev/json-ld-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 '{
  "urls": [
    "https://www.allrecipes.com",
    "https://www.apple.com/iphone-15-pro/"
  ]
}' |
apify call ninhothedev/json-ld-extractor --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "JSON-LD Extractor - Schema.org Structured Data & Rich Snippets",
        "description": "$0.5/1K 🔥 JSON-LD structured data extractor! Pull Schema.org markup — products, articles, recipes & events — from any URL. No API key. Export JSON, CSV, Excel or API in seconds. Perfect for SEO audits & RAG ⚡",
        "version": "0.1",
        "x-build-id": "hZlOdVGQUt9c3APQW"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/ninhothedev~json-ld-extractor/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-ninhothedev-json-ld-extractor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/ninhothedev~json-ld-extractor/runs": {
            "post": {
                "operationId": "runs-sync-ninhothedev-json-ld-extractor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK",
                        "content": {
                            "application/json": {
                                "schema": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/ninhothedev~json-ld-extractor/run-sync": {
            "post": {
                "operationId": "run-sync-ninhothedev-json-ld-extractor",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        }
    },
    "components": {
        "schemas": {
            "inputSchema": {
                "type": "object",
                "required": [
                    "urls"
                ],
                "properties": {
                    "mode": {
                        "title": "Mode",
                        "enum": [
                            "extract"
                        ],
                        "type": "string",
                        "description": "Operation mode. 'extract' fetches each URL and returns its publicly-published schema.org structured data as one item per top-level entity.",
                        "default": "extract"
                    },
                    "urls": {
                        "title": "URLs",
                        "type": "array",
                        "description": "List of page URLs to extract structured data from. Any public product, article, recipe, or event page works. Missing https:// is added automatically.",
                        "items": {
                            "type": "string"
                        }
                    },
                    "includeMicrodata": {
                        "title": "Include microdata",
                        "type": "boolean",
                        "description": "Also extract legacy HTML microdata (itemscope/itemprop). When off, microdata is only used as a fallback for pages that publish no JSON-LD.",
                        "default": false
                    },
                    "maxItems": {
                        "title": "Max items",
                        "minimum": 1,
                        "maximum": 1000,
                        "type": "integer",
                        "description": "Maximum number of structured-data entities to output across all URLs. Protects your run from very large pages.",
                        "default": 100
                    }
                }
            },
            "runsResponseSchema": {
                "type": "object",
                "properties": {
                    "data": {
                        "type": "object",
                        "properties": {
                            "id": {
                                "type": "string"
                            },
                            "actId": {
                                "type": "string"
                            },
                            "userId": {
                                "type": "string"
                            },
                            "startedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "finishedAt": {
                                "type": "string",
                                "format": "date-time",
                                "example": "2025-01-08T00:00:00.000Z"
                            },
                            "status": {
                                "type": "string",
                                "example": "READY"
                            },
                            "meta": {
                                "type": "object",
                                "properties": {
                                    "origin": {
                                        "type": "string",
                                        "example": "API"
                                    },
                                    "userAgent": {
                                        "type": "string"
                                    }
                                }
                            },
                            "stats": {
                                "type": "object",
                                "properties": {
                                    "inputBodyLen": {
                                        "type": "integer",
                                        "example": 2000
                                    },
                                    "rebootCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "restartCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "resurrectCount": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "computeUnits": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "options": {
                                "type": "object",
                                "properties": {
                                    "build": {
                                        "type": "string",
                                        "example": "latest"
                                    },
                                    "timeoutSecs": {
                                        "type": "integer",
                                        "example": 300
                                    },
                                    "memoryMbytes": {
                                        "type": "integer",
                                        "example": 1024
                                    },
                                    "diskMbytes": {
                                        "type": "integer",
                                        "example": 2048
                                    }
                                }
                            },
                            "buildId": {
                                "type": "string"
                            },
                            "defaultKeyValueStoreId": {
                                "type": "string"
                            },
                            "defaultDatasetId": {
                                "type": "string"
                            },
                            "defaultRequestQueueId": {
                                "type": "string"
                            },
                            "buildNumber": {
                                "type": "string",
                                "example": "1.0.0"
                            },
                            "containerUrl": {
                                "type": "string"
                            },
                            "usage": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "integer",
                                        "example": 1
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            },
                            "usageTotalUsd": {
                                "type": "number",
                                "example": 0.00005
                            },
                            "usageUsd": {
                                "type": "object",
                                "properties": {
                                    "ACTOR_COMPUTE_UNITS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATASET_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "KEY_VALUE_STORE_WRITES": {
                                        "type": "number",
                                        "example": 0.00005
                                    },
                                    "KEY_VALUE_STORE_LISTS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_READS": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "REQUEST_QUEUE_WRITES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_INTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "DATA_TRANSFER_EXTERNAL_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_RESIDENTIAL_TRANSFER_GBYTES": {
                                        "type": "integer",
                                        "example": 0
                                    },
                                    "PROXY_SERPS": {
                                        "type": "integer",
                                        "example": 0
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```