# Fragrantica Perfume Scraper (`jungle_synthesizer/fragrantica-scraper`) Actor

Extract perfume data from Fragrantica.com including name, brand, year, perfumer, fragrance pyramid (top, middle, base notes), main accords, ratings, and more. Supports scraping by direct perfume URL or by designer/brand page.

- **URL**: https://apify.com/jungle\_synthesizer/fragrantica-scraper.md
- **Developed by:** [BowTiedRaccoon](https://apify.com/jungle_synthesizer) (community)
- **Categories:** E-commerce, Other
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks
- **User rating**: No ratings yet

## Pricing

Pay per event

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

## Fragrantica Perfume Scraper

Extract structured perfume data from [Fragrantica.com](https://www.fragrantica.com) — the world's largest fragrance encyclopedia. Returns name, brand, year, perfumers, fragrance pyramid notes, main accords, community ratings, and bottle images, ready for analysis or catalog enrichment.

### What It Does

Fragrantica catalogues over 100,000 perfumes with community-rated notes, accords, and demographic data. This actor gets that data out. You give it a list of perfume URLs, brand pages, or both. It returns one clean record per perfume.

Two input modes:

- **Direct perfume URLs** (`startUrls`) — fetch specific perfumes by URL
- **Designer/brand pages** (`designerUrls`) — scrape all perfumes from a brand, paginated automatically

### Output

Each record contains 17 fields:

| Field | Type | Description |
|---|---|---|
| `perfume_id` | string | Numeric Fragrantica ID extracted from URL |
| `perfume_url` | string | Canonical URL of the perfume detail page |
| `name` | string | Perfume name |
| `brand` | string | Brand/designer name |
| `year` | string | Year of launch |
| `perfumers` | string | Comma-separated nose/perfumer names |
| `top_notes` | string | Comma-separated top (head) notes |
| `middle_notes` | string | Comma-separated middle (heart) notes |
| `base_notes` | string | Comma-separated base notes |
| `main_accords` | string | Comma-separated main fragrance accords |
| `rating_value` | number | Average community rating (0–5) |
| `rating_count` | number | Number of community ratings |
| `gender_vote` | string | Community gender vote (e.g., "mostly women") |
| `seasons` | string | Comma-separated recommended seasons |
| `description` | string | Fragrantica editorial/community description |
| `image_url` | string | Bottle image URL |
| `scraped_at` | string | ISO timestamp when the record was scraped |

#### Example Record

```json
{
  "perfume_id": "611",
  "perfume_url": "https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html",
  "name": "Coco Mademoiselle Chanel for women",
  "brand": "Chanel",
  "year": "2001",
  "perfumers": "Jacques Polge",
  "top_notes": "Orange, Mandarin Orange, Bergamot, Orange Blossom",
  "middle_notes": "Turkish Rose, Jasmine, Mimosa, Ylang-Ylang",
  "base_notes": "Patchouli, White Musk, Vanilla, Vetiver, Tonka Bean, Opoponax",
  "main_accords": null,
  "rating_value": 4.11,
  "rating_count": 32,
  "gender_vote": null,
  "seasons": null,
  "description": "Coco Mademoiselle by Chanel is a Oriental Floral fragrance for women...",
  "image_url": "https://fimgs.net/mdimg/perfume-social-cards/en-social-611.jpeg",
  "scraped_at": "2026-06-06T03:30:31.534Z"
}
````

### Input Parameters

| Parameter | Type | Default | Description |
|---|---|---|---|
| `startUrls` | array | — | Direct perfume page URLs to scrape |
| `designerUrls` | array | — | Brand pages to expand into all perfumes |
| `maxItems` | integer | 10 | Maximum perfumes to return |

At least one of `startUrls` or `designerUrls` is required.

#### Example: Single Perfume

```json
{
  "startUrls": [
    { "url": "https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html" }
  ],
  "maxItems": 1
}
```

#### Example: Full Brand Catalog

```json
{
  "designerUrls": [
    { "url": "https://www.fragrantica.com/designers/Tom-Ford.html" }
  ],
  "maxItems": 50
}
```

### Use Cases

- **Perfume market research** — track launch year distribution, brand portfolio size, nose attribution
- **E-commerce enrichment** — add fragrance pyramid data to product catalogs
- **Accord analysis** — find perfumes sharing specific note combinations
- **Rating aggregation** — compare average ratings across brands or note families
- **Recommendation engine training** — match perfumes by shared notes, accords, and demographic data

### Technical Notes

Fragrantica is protected by Cloudflare Turnstile. The actor handles bypass automatically using a residential proxy session — no configuration needed on your end. Notes are extracted from the structured description text, which is more reliable than Fragrantica's client-rendered note pyramid widget.

### Pricing

Pay-per-event pricing at $0.002 per perfume record (at the FREE/BRONZE tier). A 100-perfume run costs approximately $0.20, plus a $0.10 platform start fee.

# Actor input Schema

## `sp_intended_usage` (type: `string`):

Please describe how you plan to use the data extracted by this crawler.

## `sp_improvement_suggestions` (type: `string`):

Provide any feedback or suggestions for improvements.

## `sp_contact` (type: `string`):

Provide your email address so we can get in touch with you.

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

Direct links to individual perfume pages (e.g. https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html)

## `designerUrls` (type: `array`):

Brand pages to expand into all perfumes (e.g. https://www.fragrantica.com/designers/Chanel.html)

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

Maximum number of perfume records to scrape

## Actor input object example

```json
{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "startUrls": [
    {
      "url": "https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html"
    }
  ],
  "designerUrls": [],
  "maxItems": 10
}
```

# 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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "startUrls": [
        {
            "url": "https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html"
        }
    ],
    "designerUrls": [],
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("jungle_synthesizer/fragrantica-scraper").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 = {
    "sp_intended_usage": "Describe your intended use...",
    "sp_improvement_suggestions": "Share your suggestions here...",
    "sp_contact": "Share your email here...",
    "startUrls": [{ "url": "https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html" }],
    "designerUrls": [],
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("jungle_synthesizer/fragrantica-scraper").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 '{
  "sp_intended_usage": "Describe your intended use...",
  "sp_improvement_suggestions": "Share your suggestions here...",
  "sp_contact": "Share your email here...",
  "startUrls": [
    {
      "url": "https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html"
    }
  ],
  "designerUrls": [],
  "maxItems": 10
}' |
apify call jungle_synthesizer/fragrantica-scraper --silent --output-dataset

```

## MCP server setup

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

```

## OpenAPI specification

```json
{
    "openapi": "3.0.1",
    "info": {
        "title": "Fragrantica Perfume Scraper",
        "description": "Extract perfume data from Fragrantica.com including name, brand, year, perfumer, fragrance pyramid (top, middle, base notes), main accords, ratings, and more. Supports scraping by direct perfume URL or by designer/brand page.\n",
        "version": "0.1",
        "x-build-id": "Yyxyb9WJfNuduSFJL"
    },
    "servers": [
        {
            "url": "https://api.apify.com/v2"
        }
    ],
    "paths": {
        "/acts/jungle_synthesizer~fragrantica-scraper/run-sync-get-dataset-items": {
            "post": {
                "operationId": "run-sync-get-dataset-items-jungle_synthesizer-fragrantica-scraper",
                "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": {
                                "$ref": "#/components/schemas/inputSchema"
                            }
                        }
                    }
                },
                "parameters": [
                    {
                        "name": "token",
                        "in": "query",
                        "required": true,
                        "schema": {
                            "type": "string"
                        },
                        "description": "Enter your Apify token here"
                    }
                ],
                "responses": {
                    "200": {
                        "description": "OK"
                    }
                }
            }
        },
        "/acts/jungle_synthesizer~fragrantica-scraper/runs": {
            "post": {
                "operationId": "runs-sync-jungle_synthesizer-fragrantica-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor and returns information about the initiated run in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": {
                                    "$ref": "#/components/schemas/runsResponseSchema"
                                }
                            }
                        }
                    }
                }
            }
        },
        "/acts/jungle_synthesizer~fragrantica-scraper/run-sync": {
            "post": {
                "operationId": "run-sync-jungle_synthesizer-fragrantica-scraper",
                "x-openai-isConsequential": false,
                "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.",
                "tags": [
                    "Run Actor"
                ],
                "requestBody": {
                    "required": true,
                    "content": {
                        "application/json": {
                            "schema": {
                                "$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": [
                    "maxItems"
                ],
                "properties": {
                    "sp_intended_usage": {
                        "title": "What is the intended usage of this data?",
                        "minLength": 1,
                        "type": "string",
                        "description": "Please describe how you plan to use the data extracted by this crawler."
                    },
                    "sp_improvement_suggestions": {
                        "title": "How can we improve this crawler for you?",
                        "minLength": 1,
                        "type": "string",
                        "description": "Provide any feedback or suggestions for improvements."
                    },
                    "sp_contact": {
                        "title": "Contact Email",
                        "minLength": 1,
                        "type": "string",
                        "description": "Provide your email address so we can get in touch with you."
                    },
                    "startUrls": {
                        "title": "Perfume URLs",
                        "type": "array",
                        "description": "Direct links to individual perfume pages (e.g. https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html)\n",
                        "items": {
                            "type": "string"
                        }
                    },
                    "designerUrls": {
                        "title": "Designer/Brand URLs",
                        "type": "array",
                        "description": "Brand pages to expand into all perfumes (e.g. https://www.fragrantica.com/designers/Chanel.html)\n",
                        "items": {
                            "type": "string"
                        }
                    },
                    "maxItems": {
                        "title": "Max Items",
                        "type": "integer",
                        "description": "Maximum number of perfume records to scrape"
                    }
                }
            },
            "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
                                    }
                                }
                            }
                        }
                    }
                }
            }
        }
    }
}
```