Collect structured perfume encyclopedia data from Fragrantica perfume, What's New, and designer URLs.
Issues and feature requests
If you encounter an issue or need a field added, open an issue on the Actor page or write to hello@123webdata.com.
Output Example (simplified)
The overview shows the most useful fields in a table. Product images are displayed as thumbnails when the website provides them.
| Image | Product URL | Product ID | Product name | Brand | Scraped at |
|---|---|---|---|---|---|
 |
https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html | 611 | Coco Mademoiselle Chanel | Chanel | 2026-08-14T20:35:00.000Z |
How to scrape supported list pages
This Actor accepts individual product links in productUrls. It accepts category pages and brand pages in categoryUrls.
- Open a supported list page in your browser.
- Choose a category and open a brand page you need.
- Copy the final URL from the address bar and paste it into
categoryUrls.
The Actor follows the products shown on that page.
Features
- Scrapes detailed perfume information from Fragrantica product pages
- Accepts individual product URLs and category pages and brand pages
- Lets you limit the number of saved products and choose whether to continue through additional result pages
- Returns structured designer details, main accords, fragrance notes, and ratings for viewing, export, and analysis
Pricing
This Actor uses pay-per-event pricing. Its running costs are included.
- Actor start: $0.02 once per run — One fixed charge for starting a run.
- Result: $0.00089 each ($0.89 per 1,000) — A product record collected directly from a supported list page.
- Product detail: $0.00199 each ($1.99 per 1,000) — A full product record collected from its product page.
The start charge applies once per run. Each saved product is charged either as a Result or a Product detail, never both.
| Results in one run | Result | Product detail |
|---|---|---|
| 100 | $0.11 | $0.22 |
| 1,000 | $0.91 | $2.01 |
Apify's Free plan currently includes $5 in monthly usage credits. If the full $5 is available for this Actor, one run covers about 5,595 Results or 2,502 Product details. Other Apify usage reduces the available credit.
Input
The Actor accepts the following input parameters:
| Field | Type | Description |
|---|---|---|
productUrls |
array | Product URLs to scrape |
categoryUrls |
array | Supported list pages: category pages and brand pages |
maxResultsPerScrape |
integer | Maximum number of product records to save |
usePagination |
boolean | Whether to continue through additional result pages |
scrapeProductDetails |
boolean | Enabled returns Product detail records with the product-page fields listed below. Disabled returns Result records with the list-level fields. |
What data you get in each mode
Every saved product is stored as one record. scrapeProductDetails decides which mode you receive; the lists below name every field each mode can return. A field is empty when the website does not show that information.
Result
A list-level product record with 12 declared fields:
url, product_id, name, sku, brand, audience, launch_year, comment_count, main_image, images, canonical_url, scraped_at
Product detail
A full product record with 24 declared fields:
url, product_id, name, sku, brand, category, main_image, images, description, description_html, attributes, rating_value, review_count, canonical_url, scraped_at, audience, brand_url, fragrance_family, launch_year, comment_count, main_accords, top_notes, middle_notes, base_notes
Output Example (full)
The Actor stores one structured record per product. Card-only records contain only fields available on the list; detail-only fields are omitted.
{
"url": "https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html",
"product_id": "611",
"name": "Coco Mademoiselle Chanel",
"sku": "611",
"brand": "Chanel",
"category": "Oriental Floral",
"main_image": "https://fimgs.net/mdimg/perfume-thumbs/375x500.611.jpg",
"images": [
"https://fimgs.net/mdimg/perfume-thumbs/375x500.611.jpg"
],
"description": "Coco Mademoiselle by Chanel is a Oriental Floral fragrance for women. Coco Mademoiselle was launched in 2001.\n\nThe nose behind this fragrance is Jacques Polge.",
"description_html": "<p><strong>Coco Mademoiselle</strong> by <strong>Chanel</strong> is a Oriental Floral fragrance for women. Coco Mademoiselle was launched in 2001.</p><p>The nose behind this fragrance is Jacques Polge.</p>",
"attributes": {
"audience": "for women",
"launch year": 2001
},
"rating_value": 4.1,
"review_count": 33212,
"canonical_url": "https://www.fragrantica.com/perfume/Chanel/Coco-Mademoiselle-611.html",
"scraped_at": "2026-08-14T20:35:00.000Z",
"audience": "for women",
"brand_url": "https://www.fragrantica.com/designers/Chanel.html",
"fragrance_family": "Oriental Floral",
"launch_year": 2001,
"main_accords": [
"citrus",
"woody",
"patchouli"
],
"top_notes": [
"Orange",
"Mandarin Orange"
],
"middle_notes": [
"Rose"
],
"base_notes": [
"Patchouli",
"Vanilla"
]
}
Use Cases
- Compare perfume accords and note pyramids
- Study designer catalogs and launch years
- Build fragrance research datasets
Integrate with AI and automation
Use with AI through MCP
Connect your AI assistant to the Apify MCP server. It can discover and run Actors, then access the results in the same conversation. For example, ask your assistant to scrape a list of products from Fragrantica, compare prices, or summarize the collected data.
Run on a schedule
After one successful run, use Apify Schedules to repeat the same task hourly, daily, weekly, or with a custom cron schedule. Saved tasks are useful when you want to keep the same URLs and settings for every run.
Connect with n8n
Create an n8n account and add the verified Apify node to a workflow. Choose Run an Actor and Get Dataset when the workflow should start this Actor, wait for completion, and receive the product rows for the next node. See the Apify integration for n8n.
Connect with Make
Create a Make account and add the Apify Run an Actor module. Follow it with Get Dataset Items to pass the product rows to Google Sheets, a database, email, or another Make module. For longer runs, use Watch Actor Runs followed by Get Dataset Items.
Read the Make integration guide.