# Embernoire Productinfo Spider (`getdataforme/embernoire-productinfo-spider`) Actor

The Embernoire Productinfo Spider is a web scraping tool designed for extracting detailed product information from Embernoire's website....

- **URL**: https://apify.com/getdataforme/embernoire-productinfo-spider.md
- **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community)
- **Categories:** AI, Automation, E-commerce
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $9.00 / 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 a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases.
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.md):

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

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

---

## README.md

### Embernoire Productinfo Spider

#### Introduction

The **Embernoire Productinfo Spider** is a specialized web scraping tool designed to extract detailed product information from Embernoire's website. It efficiently gathers data such as product descriptions, prices, and metadata, providing valuable insights for market analysis and business intelligence.

#### Features

- **Comprehensive Data Extraction**: Captures essential product details including titles, descriptions, images, and pricing.
- **High-Quality Data**: Ensures reliable and accurate information retrieval with structured output.
- **Flexible Configuration**: Allows customization of URLs and item limits to suit specific needs.
- **Seamless Integration**: Outputs data in JSON format for easy integration into various applications.
- **Efficient Performance**: Optimized for speed and efficiency, minimizing resource usage.

#### Input Parameters

| Parameter   | Type    | Required | Description                                                                 | Example                                                                                       |
|-------------|---------|----------|-----------------------------------------------------------------------------|-----------------------------------------------------------------------------------------------|
| `Urls`      | array   | Yes      | The URLs for the spider to scrape.                                          | `[ "https://embernoire.com.au/products/the-scent-ritual-gift-set-rebel-rose" ]`              |
| `item_limit`| integer | No       | Maximum items to scrape per actor run. Set to 0 for no limit.                | `10`                                                                                         |

#### Example Usage

##### Input JSON
```json
{
  "Urls": [
    "https://embernoire.com.au/products/the-scent-ritual-gift-set-rebel-rose?_pos=9&_sid=c6a594b28&_ss=r"
  ],
  "item_limit": 10
}
````

##### Output JSON

```json
[
  {
    "url": "https://embernoire.com.au/products/the-scent-ritual-gift-set-rebel-rose?_pos=9&_sid=c6a594b28&_ss=r",
    "status_code": 200,
    "domain": "embernoire.com.au",
    "og_title": "Sensual Gift Set | Rose Aromatherapy Ritual | Ember Noire",
    "og_description": "Gift the Sensual Ritual: Rebel Rose candle, floral room mist and aromatherapy roller. A natural sensual gift set, beautifully boxed in Sydney, Australia.",
    "og_image": "http://embernoire.com.au/cdn/shop/files/the-sensual-ritual-gift-set-scent-soy-candle-ember-noire-7374485.jpg?v=1765471568",
    "og_url": "https://embernoire.com.au/products/the-scent-ritual-gift-set-rebel-rose",
    "og_price_amount": "99.00",
    "og_price_currency": "AUD",
    "page_title": "Sensual Gift Set | Rose Aromatherapy Ritual | Ember Noire",
    "json_ld_type": "BreadcrumbList",
    "extra_json_ld": [
      {
        "@context": "http://schema.org",
        "@type": "Organization",
        "name": "Ember Noire",
        "logo": "https://embernoire.com.au/cdn/shop/files/Logo_copy_5d45c7a3-7072-4d17-96c6-020a97b97999.svg?v=1760922656&width=500",
        "sameAs": [
          "",
          "https://www.facebook.com/p/Ember-Noire-61563571803782/",
          "",
          "https://www.instagram.com/embernoire_"
        ],
        "url": "https://embernoire.com.au"
      },
      {
        "@context": "https://schema.org",
        "@type": "Product",
        "@id": "https://embernoire.com.au/products/the-scent-ritual-gift-set-rebel-rose#product",
        "name": "The Sensual Ritual Gift Set",
        "url": "https://embernoire.com.au/products/the-scent-ritual-gift-set-rebel-rose",
        "image": [
          "https://embernoire.com.au/cdn/shop/files/the-sensual-ritual-gift-set-scent-soy-candle-ember-noire-7374485.jpg?v=1765471568&width=1200"
        ],
        "description": "Rebel Rose - Rose Geranium, Mandarin, Bergamot, NeroliFloral with a twist. Sensual, grounded, and quietly bold.",
        "sku": null,
        "mpn": null,
        "brand": {
          "@type": "Brand",
          "name": "Ember Noire"
        },
        "offers": {
          "@type": "Offer",
          "priceCurrency": "AUD",
          "price": "99.0",
          "availability": "https://schema.org/OutOfStock",
          "url": "https://embernoire.com.au/products/the-scent-ritual-gift-set-rebel-rose"
        }
      }
    ],
    "shopify_product_id": "8053962407970",
    "h1": "The Sensual Ritual Gift Set",
    "page_price": "",
    "compare_at_price": "$123.00",
    "breadcrumbs": [
      "Home",
      "Aromatherapy Gift Sets"
    ]
  }
]
```

#### Use Cases

- **Market Research and Analysis**: Gather competitive product data for strategic insights.
- **Competitive Intelligence**: Monitor competitor pricing and offerings.
- **Price Monitoring**: Track price changes over time to identify trends.
- **Content Aggregation**: Collect product information for content creation.
- **Academic Research**: Obtain structured data for research projects.
- **Business Automation**: Integrate with business processes for automated updates.

#### Installation and Usage

1. Search for "Embernoire Productinfo Spider" in the Apify Store.
2. Click "Try for free" or "Run".
3. Configure input parameters as needed.
4. Click "Start" to begin extraction.
5. Monitor progress in the log.
6. Export results in your preferred format (JSON, CSV, Excel).

#### Output Format

The output is structured JSON data containing key fields such as `url`, `status_code`, `domain`, `og_title`, `og_description`, `og_image`, `og_url`, `og_price_amount`, `og_price_currency`, `page_title`, `json_ld_type`, and `extra_json_ld`. Each entry corresponds to a product, providing comprehensive details for analysis.

#### Support

For custom/simplified outputs or bug reports, please contact:

- Email: support@getdataforme.com
- Subject line: "custom support"
- Contact form: [Contact Us](https://getdataforme.com/contact/)

We're here to help you get the most out of this Actor!

# Actor input Schema

## `Urls` (type: `array`):

The urls for the spider.

## `item_limit` (type: `integer`):

Maximum items to scrape per actor run. Set to 0 for no limit.

## Actor input object example

```json
{
  "Urls": [
    "https://embernoire.com.au/products/the-scent-ritual-gift-set-rebel-rose?_pos=9&_sid=c6a594b28&_ss=r"
  ],
  "item_limit": 10
}
```

# Actor output Schema

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

Scraped data items from dataset

# 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 = {};

// Run the Actor and wait for it to finish
const run = await client.actor("getdataforme/embernoire-productinfo-spider").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 = {}

# Run the Actor and wait for it to finish
run = client.actor("getdataforme/embernoire-productinfo-spider").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 '{}' |
apify call getdataforme/embernoire-productinfo-spider --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Embernoire Productinfo Spider",
        "description": "The Embernoire Productinfo Spider is a web scraping tool designed for extracting detailed product information from Embernoire's website....",
        "version": "0.0",
        "x-build-id": "aR4UKBFjr8VfH6hcD"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/getdataforme~embernoire-productinfo-spider/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-getdataforme-embernoire-productinfo-spider",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/getdataforme~embernoire-productinfo-spider/runs": {
            "post": {
                "operationId": "runs-sync-getdataforme-embernoire-productinfo-spider",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/getdataforme~embernoire-productinfo-spider/run-sync": {
            "post": {
                "operationId": "run-sync-getdataforme-embernoire-productinfo-spider",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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",
                "properties": {
                    "Urls": {
                        "title": "Urls",
                        "minItems": 1,
                        "type": "array",
                        "description": "The urls for the spider.",
                        "default": [
                            "https://embernoire.com.au/products/the-scent-ritual-gift-set-rebel-rose?_pos=9&_sid=c6a594b28&_ss=r"
                        ],
                        "items": {
                            "type": "string"
                        }
                    },
                    "item_limit": {
                        "title": "Item limit",
                        "minimum": 0,
                        "type": "integer",
                        "description": "Maximum items to scrape per actor run. Set to 0 for no limit.",
                        "default": 10
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```
