# Fragrantica Scraper (`easyapi/fragrantica-scraper`) Actor

Scrape Fragrantica perfume search and product pages — notes, accords, ratings, brands, and reviews.

- **URL**: https://apify.com/easyapi/fragrantica-scraper.md
- **Developed by:** [EasyApi](https://apify.com/easyapi) (community)
- **Categories:** Agents
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $2.99 / 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

## Fragrantica Scraper

Turn Fragrantica perfume pages into structured JSON. Search by keyword or paste search / perfume URLs, then collect brand, notes pyramid, main accords, ratings, images, seasonal vote breakouts, and optional review snippets.

### Features

- Search by `query` and/or `startUrls` (search pages + perfume detail URLs)
- Perfume id, title, description, brand, gender, launch year (when present)
- Main accords with relative strength and color
- Notes pyramid: top / middle / base
- User rating average and vote counts
- Longevity, sillage, price-value, and seasonal vote breakouts when shown
- Primary image + extra gallery URLs
- Optional review text collection with a per-perfume cap
- `omitFields` to drop heavy slices (e.g. `reviews`, `images`) from the output

### Input

| Field | Type | Default | Description |
| --- | --- | --- | --- |
| `query` | string | — | Keyword search (provide `query` and/or `startUrls`) |
| `startUrls` | array | — | Search URLs and/or `/perfume/...-123.html` detail URLs |
| `maxItems` | integer | `10` | Max perfume detail pages to scrape |
| `allReviews` | boolean | `false` | Try to load more review content per perfume |
| `maxItemsReviews` | integer | `50` | Cap on review snippets per perfume |
| `omitFields` | array | — | Output keys to remove from each item |
| `proxyConfiguration` | object | — | Residential proxies recommended for production |

#### Search example

```json
{
  "query": "Chanel",
  "maxItems": 10,
  "allReviews": false
}
```

#### Detail URLs example

```json
{
  "startUrls": [
    "https://www.fragrantica.com/perfume/Chanel/Chanel-No-5-Eau-de-Parfum-40069.html"
  ],
  "maxItems": 1,
  "omitFields": ["reviews", "peopleWhoLikeThisAlsoLike"]
}
```

#### Search URL + reviews

```json
{
  "startUrls": [
    "https://www.fragrantica.com/search/?query=Avon"
  ],
  "maxItems": 5,
  "allReviews": true,
  "maxItemsReviews": 30
}
```

### Output

One Dataset item per perfume:

| Field | Description |
| --- | --- |
| `id` | Numeric perfume id from the URL |
| `url` / `title` / `description` | Page identity and blurb |
| `brandName` / `brandUrl` / `brandLogo` | Designer fields |
| `primaryImageUrl` / `images` | Bottle / marketing images |
| `mainAccords` | `{ accord, value, color, rgb, hex }[]` |
| `pyramid` | `{ top, middle, base }` note arrays |
| `perfumeRating` / `ratingCount` / `reviewCount` | Community scores |
| `ratingBreakout` | love / like / ok / dislike / hate counts when present |
| `longevityBreakout` / `sillageBreakout` / `priceValueBreakout` | Vote histograms |
| `seasonBreakout` | winter / spring / summer / fall / day / night |
| `gender` / `year` | Audience and launch year when detected |
| `perfumers` | Nose credits when listed |
| `peopleWhoLikeThisAlsoLike` | Related perfume links |
| `reviews` | Text snippets (optional) |
| `error` | Present when a single perfume failed |
| `scrapedAt` | ISO timestamp |

#### Example shape

```json
{
  "id": "40069",
  "title": "Chanel No 5 Eau de Parfum Chanel for women",
  "brandName": "Chanel",
  "perfumeRating": 3.57,
  "ratingCount": 12509,
  "gender": "women",
  "mainAccords": [
    { "accord": "woody", "value": 100, "hex": "#774414" },
    { "accord": "aldehydic", "value": 85.26 }
  ],
  "pyramid": {
    "top": ["Aldehydes", "Ylang-Ylang", "Neroli", "Bergamot", "Peach"],
    "middle": ["Iris", "Jasmine", "Rose", "Lily-of-the-Valley"],
    "base": ["Sandalwood", "Oakmoss", "Vanilla", "Patchouli", "Vetiver"]
  },
  "primaryImageUrl": "https://fimgs.net/mdimg/perfume-thumbs/375x500.40069.jpg"
}
```

### Use cases

- Build fragrance catalogs and recommendation datasets
- Competitive research across designers and notes
- Enrich e-commerce listings with accords / pyramid metadata

### Scope notes

- Search pages are scrolled to discover perfume links up to `maxItems`; very deep catalogs may need multiple queries.
- Review extraction is best-effort text snippets from the page — not a full threaded forum export.
- Vote breakout labels depend on what the page currently renders; missing sections stay empty objects / null.
- Pros / cons community lists are not always present on every perfume page.

### Tips

- Start with `maxItems: 3` and one brand query to validate proxies.
- Residential proxies are recommended for production.
- Use `omitFields: ["reviews", "images"]` for lighter rows when you only need accords and ratings.
- Prefer direct perfume URLs in `startUrls` when you already know the targets.

# Actor input Schema

## `query` (type: `string`):

Perfume / brand keyword to search on Fragrantica. Provide query and/or startUrls.

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

Search URLs and/or perfume detail URLs (…/perfume/Brand/Name-123.html).

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

Maximum number of perfume detail pages to scrape (1–500).

## `allReviews` (type: `boolean`):

When true, scroll / load additional review content up to Max reviews per perfume.

## `maxItemsReviews` (type: `integer`):

Upper bound on review snippets collected per perfume when reviews are enabled.

## `omitFields` (type: `array`):

Output keys to drop from each item (e.g. reviews, images, peopleWhoLikeThisAlsoLike).

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

Optional Apify proxy. Residential proxies are recommended for production.

## Actor input object example

```json
{
  "query": "Chanel",
  "maxItems": 10,
  "allReviews": false,
  "maxItemsReviews": 50
}
```

# Actor output Schema

## `overview` (type: `string`):

Table view of scraped perfumes.

## `rawResults` (type: `string`):

All dataset items as JSON.

# 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 = {
    "query": "Chanel",
    "maxItems": 10
};

// Run the Actor and wait for it to finish
const run = await client.actor("easyapi/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 = {
    "query": "Chanel",
    "maxItems": 10,
}

# Run the Actor and wait for it to finish
run = client.actor("easyapi/fragrantica-scraper").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 '{
  "query": "Chanel",
  "maxItems": 10
}' |
apify call easyapi/fragrantica-scraper --silent --output-dataset

```

## MCP server setup

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

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/eNZO9azN2kb1TN1RA/builds/EbF02PRQWURDfLaL4/openapi.json