Fragrantica Scraper

Pull structured fragrance data from Fragrantica at scale — the full top/middle/base note pyramid, main accords with strength percentages, perfumer credits, community ratings with exact vote counts, and optional user reviews for any perfume. Built for fragrance e-commerce teams, perfume bloggers and reviewers, market researchers, and scent-app developers who need clean, structured fragrance data without copy-pasting perfume pages one bottle at a time.

Why This Scraper?

• Full 3-tier note pyramid per perfume — every fragrance returns its complete top, middle, and base notes as separate arrays, so you can model how a scent opens, settles, and dries down.
• Main accords with strength percentages — not just labels like "woody" or "sweet", but each accord's 0–100% intensity bar exactly as Fragrantica scores it.
• Perfumer ("nose") attribution — the named creators behind each fragrance, captured per perfume for designer-roster and house analysis.
• Community rating plus exact rating count — the average score and the precise number of votes behind it (e.g. 11,876 ratings on Chanel No 5), so you can weight popularity by sample size.
• Up to ~200 most-recent user reviews per perfume — opt-in full review text with author, date, and language, capped per perfume so result counts stay predictable.
• Four entry points in one actor — keyword search, or paste a perfume, designer, note, or perfumer URL. Designer, note, and perfumer pages auto-expand into their full perfume roster (every Tom Ford fragrance, or every perfume that features Oud).
• 13 international Fragrantica editions — pull results in English, French, German, Spanish, Italian, Portuguese, Dutch, Polish, Russian, Japanese, Korean, Arabic, or Turkish.
• Launch year, gender, brand, and popularity ranking — each perfume carries its release year, gender classification, designer/brand, and a popularity score for trend and catalog analysis.

Use Cases

E-commerce & Retail

• Enrich product catalogs with note pyramids and accords for "shop by scent" filters
• Build fragrance comparison pages backed by real community ratings
• Map a competitor's full house roster from a single designer URL
• Surface launch-year data to flag new releases versus discontinued classics

Market Research

• Track which notes and accords dominate top-rated fragrances by year
• Benchmark a brand's average rating and vote volume against rivals
• Analyze gender classification trends across a category or house
• Quantify popularity by combining rating count and popularity score

Fragrance Apps & Recommendation Engines

• Power scent-matching engines with structured top/middle/base note data
• Cluster perfumes by shared accords and perfumer signatures
• Feed "smells like" recommendations from note-pyramid similarity
• Build note-based discovery (pull every perfume featuring a given note)

Content & Affiliate

• Generate data-rich fragrance roundups and "best of" lists with ratings
• Source perfumer credits and launch years for editorial accuracy
• Aggregate real user reviews to summarize community sentiment
• Localize content for 13 markets from a single run

Brand Monitoring

• Watch a house's roster, ratings, and review volume over time
• Detect newly indexed fragrances on a designer page
• Track rating-count growth to gauge momentum on key releases

Getting Started

Basic Keyword Search

The simplest run — one search, defaults for everything else:

{
    "searchQueries": ["Chanel No 5"],
    "maxResults": 25
}

Scrape a Designer's Full Roster

Paste a designer, note, or perfumer URL and it expands into every listed perfume:

{
    "startUrls": [
        "https://www.fragrantica.com/designers/Tom-Ford.html",
        "https://www.fragrantica.com/notes/Oud-75.html"
    ],
    "maxResults": 100
}

Full-Featured Run (Reviews + Localization)

Search and direct URLs together, with reviews enabled and a Spanish-edition locale:

{
    "searchQueries": ["vanilla", "Sauvage"],
    "startUrls": [
        "https://www.fragrantica.com/perfume/Creed/Aventus-9828.html"
    ],
    "maxResults": 200,
    "includeReviews": true,
    "maxReviewsPerPerfume": 50,
    "language": "es"
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
searchQueries	string[]	["Chanel No 5"]	Keywords to search — a perfume name, brand, or note. Each query runs independently.
startUrls	string[]	[]	Fragrantica URLs to scrape. Supports a single perfume, or a designer, note, or perfumer page. Designer/note/perfumer pages expand into all of their listed perfumes. Type is auto-detected.

Results

Parameter	Type	Default	Description
maxResults	integer	100	Maximum perfumes to return across all queries and URLs. Set to 0 for unlimited. Start with 10–50 to test, then scale up.

Reviews

Parameter	Type	Default	Description
includeReviews	boolean	false	Also collect user reviews for each perfume. Off by default. When on, each review is returned as its own result.
maxReviewsPerPerfume	integer	20	Maximum reviews per perfume when reviews are on. Set to 0 for all available (up to ~200 most-recent). Ignored when reviews are off.

Localization

Parameter	Type	Default	Description
language	select	English	Edition/locale for results: English, French, German, Spanish, Italian, Portuguese, Dutch, Polish, Russian, Japanese, Korean, Arabic, or Turkish.

Output

Every row carries a recordType field — perfume, designer, or review — so you can filter cleanly downstream.

Perfume (recordType: "perfume")

{
    "recordType": "perfume",
    "perfumeId": "9828",
    "name": "Aventus",
    "url": "https://www.fragrantica.com/perfume/Creed/Aventus-9828.html",
    "brand": "Creed",
    "brandUrl": "https://www.fragrantica.com/designers/Creed.html",
    "gender": "for men",
    "year": 2010,
    "imageUrl": "https://fimgs.net/mdimg/perfume/375x500.9828.jpg",
    "ratingValue": 4.36,
    "ratingCount": 25431,
    "reviewsCount": 210,
    "mainAccords": [
        { "name": "fruity", "strength": 100 },
        { "name": "woody", "strength": 78 },
        { "name": "smoky", "strength": 52 }
    ],
    "notesTop": ["Bergamot", "Black Currant", "Apple", "Pineapple"],
    "notesMiddle": ["Birch", "Patchouli", "Moroccan Jasmine", "Rose"],
    "notesBase": ["Musk", "Oak Moss", "Ambergris", "Vanilla"],
    "perfumers": ["Olivier Creed", "Erwin Creed"],
    "popularityScore": 18742,
    "language": "en"
}

Core Fields

Field	Type	Description
recordType	string	Always "perfume"
perfumeId	string	Fragrantica numeric perfume ID
name	string	Perfume name
url	string	Canonical perfume URL
brand	string	Designer / brand name
brandUrl	string	Designer page URL
gender	string	for women, for men, or unisex
year	number	Launch year (nullable)
imageUrl	string	Bottle image URL
language	string	Edition/locale of the result

Scent Profile

Field	Type	Description
mainAccords	object[]	Accords as {name, strength}, strength 0–100
notesTop	string[]	Top (opening) notes
notesMiddle	string[]	Middle (heart) notes
notesBase	string[]	Base (dry-down) notes
perfumers	string[]	Perfumer ("nose") names

Ratings & Popularity

Field	Type	Description
ratingValue	number	Average community rating, 0–5 (nullable)
ratingCount	number	Exact number of ratings behind the average
reviewsCount	number	Number of user reviews on the perfume
popularityScore	number	Popularity metric (populated for search-sourced perfumes)

Designer (recordType: "designer")

Emitted when a designer, note, or perfumer URL is the entry point — followed by a perfume row for each fragrance in the roster.

{
    "recordType": "designer",
    "name": "Tom Ford",
    "url": "https://www.fragrantica.com/designers/Tom-Ford.html",
    "parentCompany": "The Estée Lauder Companies",
    "country": "United States",
    "perfumeCount": 156,
    "language": "en"
}

Field	Type	Description
recordType	string	Always "designer"
name	string	Designer / brand name
url	string	Designer page URL
parentCompany	string	Parent company (nullable)
country	string	Country of origin (nullable)
perfumeCount	number	Number of perfumes listed for the house
language	string	Edition/locale of the result

Review (recordType: "review")

Emitted only when includeReviews: true. Returns up to ~200 of the most-recent reviews per perfume, capped by maxReviewsPerPerfume.

{
    "recordType": "review",
    "perfumeId": "9828",
    "perfumeUrl": "https://www.fragrantica.com/perfume/Creed/Aventus-9828.html",
    "author": "scenthunter",
    "date": "2026-03-12",
    "text": "The opening is an explosion of pineapple and bergamot that settles into a smoky birch...",
    "language": "en"
}

Field	Type	Description
recordType	string	Always "review"
perfumeId	string	Parent perfume ID
perfumeUrl	string	Parent perfume URL
author	string	Reviewer username
date	string	Review date (ISO when available)
text	string	Full review body
language	string	Edition/locale of the review

Tips for Best Results

• Start small to test. Set maxResults to 10–50 on a first run to confirm the data matches your needs, then scale up.
• Paste a note URL to pull every perfume featuring a scent. A note page like the one for Oud expands into hundreds of fragrances that share that note — the fastest way to build a single-note dataset.
• Use a designer or perfumer URL to grab a whole roster. One designer URL returns the brand's entire catalog; a perfumer URL returns every fragrance that nose created.
• Keep reviews off unless you need them. Reviews are opt-in and each one counts as a result — leave includeReviews off when you only need perfume profiles to keep runs lean.
• Cap reviews on popular perfumes. A blockbuster fragrance can carry ~200 reviews; set maxReviewsPerPerfume to a modest number (10–25) to bound result counts.
• Mix searches and URLs in one run. Combine searchQueries with startUrls to gather a topic survey and specific perfumes you already know in a single pass.
• Match the locale to your audience. Set language to one of the 13 editions to get perfume text and reviews in the right market language.

Pricing

$2.00 per 1,000 results — flat, pay-per-result pricing for the richest structured fragrance dataset available, including the full note pyramid, accords, and perfumer credits.

Results	Estimated Cost
100	$0.20
1,000	$2.00
10,000	$20.00
100,000	$200.00

No compute charges — you only pay per result returned. A perfume counts as one result, and a review counts as one result. Platform storage fees depend on your Apify plan.

Integrations

Export data in JSON, CSV, Excel, XML, or RSS. Connect to 1,500+ apps via:

• Zapier / Make / n8n — Workflow automation
• Google Sheets — Direct spreadsheet export
• Slack / Email — Notifications on new results
• Webhooks — Trigger custom APIs on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate fragrance research, catalog enrichment, market analysis, and content creation. Users are responsible for complying with applicable laws and Fragrantica's terms of service, including making reasonable-rate requests and respecting content usage rules. User-generated reviews may contain personal opinions — handle this data responsibly and do not use it for spam, harassment, or any illegal purpose.