# Parfumo Fragrance Scraper — Notes, Accords, Ratings & Perfumers (`minty_modesty/parfumo-perfume-data-scraper`) Actor Turn Parfumo perfume URLs into clean JSON: brand, release year, concentration, gender, community rating, per-dimension ratings, perfumers, main accords and the full top/heart/base note pyramid. - **URL**: https://apify.com/minty\_modesty/parfumo-perfume-data-scraper.md - **Developed by:** [Liu Hao](https://apify.com/minty_modesty) (community) - **Categories:** E-commerce, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## Parfumo Fragrance Scraper — Notes, Accords, Ratings & Perfumers Turn **Parfumo perfume URLs** into **clean, structured JSON**: brand, release year, concentration, gender, the community rating (overall + per-dimension: scent, longevity, sillage, bottle, value), the perfumer(s), the main accords, and the **full top / heart / base note pyramid**. Built for **fragrance e-commerce enrichment, dupe / clone research, reseller catalogs, rating monitoring, and scent-data analysis**. Give it your perfume URLs, get back a spreadsheet-ready dataset. > Why this actor exists: the biggest perfume database, Fragrantica, already has half a dozen scrapers on Apify — but it now sits behind Cloudflare and blocks plain requests. **Parfumo — the other large, community-driven fragrance encyclopedia — had no actor at all**, and it still serves clean pages. This actor fills that gap with the site that actually stays scrapable. --- ### What it does - **Input:** a list of Parfumo perfume references — full URLs (`https://www.parfumo.com/Perfumes/Dior/sauvage`), site paths (`Perfumes/Dior/sauvage`) or `Brand/slug` pairs (`Dior/sauvage`). - **Output:** one clean record per perfume — identity, community rating breakdown, perfumers, accords and the note pyramid. - **Reliable by design:** reads only public Parfumo perfume pages (allowed by Parfumo's `robots.txt`), one lightweight request per perfume. No login, no protected search/API endpoints, no CAPTCHA farms — so it keeps working. ### Input parameters | Field | Type | Default | Description | |---|---|---|---| | `perfumeUrls` | array of strings | – | Parfumo perfume URLs, site paths, or `Brand/slug` pairs. This is the main input. | | `maxItems` | integer | `0` | Cap on perfumes to scrape. `0` = no limit. | | `includeNotes` | boolean | `true` | Include the fragrance notes and, when the page groups them, the top/heart/base pyramid. | | `includeAccords` | boolean | `true` | Include the main accords (Fresh, Spicy, Woody, …) in ranked order. | | `includeCommunityRatings` | boolean | `true` | Include per-dimension ratings (scent, longevity, sillage, bottle, value) with average + vote count. | | `includeImage` | boolean | `false` | Include the perfume's main image URL. | | `maxConcurrency` | integer | `3` | Parallel requests. Keep low to stay polite to Parfumo. | | `proxyConfiguration` | object | Apify Proxy | Proxy settings. Default datacenter proxy is usually enough. | #### Example input ```json { "perfumeUrls": [ "https://www.parfumo.com/Perfumes/Dior/sauvage", "https://www.parfumo.com/Perfumes/Creed/aventus", "Chanel/No_5" ], "includeNotes": true, "includeCommunityRatings": true } ```` ### Output One dataset record per perfume. Real output for **Dior Sauvage (Eau de Toilette)**, captured live: ```json { "url": "https://www.parfumo.com/Perfumes/Dior/sauvage", "name": "Sauvage", "brand": "Dior", "releaseYear": 2015, "concentration": "Eau de Toilette", "gender": "men", "rating": { "value": 7.5, "best": 10, "ratingCount": 6514, "reviewCount": 365 }, "perfumers": ["François Demachy"], "ranking": { "rank": 30, "category": "Men's Perfume" }, "accords": ["Fresh", "Spicy", "Synthetic", "Citrus", "Woody"], "notes": [ "Ambrox", "Sichuan pepper", "Calabrian bergamot", "Pink pepper", "Provençal lavender", "Elemi resin", "Geranium", "Patchouli", "Vetiver" ], "communityRatings": { "scent": { "average": 7.30, "votes": 6514 }, "longevity": { "average": 7.79, "votes": 6129 }, "sillage": { "average": 7.73, "votes": 6106 }, "bottle": { "average": 7.72, "votes": 6164 }, "value": { "average": 7.40, "votes": 4561 } }, "description": "A perfume by Dior for men, released in 2015. The scent is fresh-spicy. It is being marketed by LVMH.", "scrapedAt": "2026-07-22T00:00:00.000Z" } ``` When a page groups its notes into a pyramid (most designer fragrances do), you also get: ```json "notesPyramid": { "top": ["Bergamot", "Apple", "Blackcurrant", "Lemon", "Pink pepper"], "heart": ["Pineapple", "Indonesian patchouli", "Jasmine"], "base": ["Birch", "Cedarwood", "Musk", "Oakmoss", "Ambergris"] } ``` *(example from Creed Aventus)* #### Output field reference | Field | Description | |---|---| | `name` | Perfume name, e.g. `Sauvage`, `N°5`. | | `brand` | Brand / fragrance house. | | `releaseYear` | Year of release. | | `concentration` | Concentration, e.g. `Eau de Toilette`, `Eau de Parfum`, `Parfum`. `null` if the page has no concentration label. | | `gender` | Target audience: `women`, `men` or `unisex`. | | `rating` | Overall community rating: `{ value, best, ratingCount, reviewCount }` on a 0–10 scale. | | `perfumers[]` | Credited perfumer(s) / nose(s). | | `ranking` | Site ranking when shown: `{ rank, category }`, e.g. rank 4 in `Men's Perfume`. | | `accords[]` | Main accords in ranked order, e.g. `Fresh`, `Spicy`, `Woody`. | | `notes[]` | All fragrance notes (flat, de-duplicated, in listed order). | | `notesPyramid` | Present only when the page groups notes: `{ top[], heart[], base[] }`. | | `communityRatings` | Per-dimension ratings, each `{ average (0–10), votes }`: `scent`, `longevity`, `sillage`, `bottle`, `value`. | | `description` | Short factual summary line from the page. | | `imageUrl` | Main image URL (only when `includeImage` is on). | | `url` | Canonical Parfumo perfume URL. | | `scrapedAt` | ISO timestamp of capture. | URLs that do not resolve to a perfume are returned as `{ "url": "…", "error": "not_found" }` so your run never silently drops a line item. ### Typical use cases - **E-commerce enrichment:** hydrate a perfume shop's catalog with accords, notes, gender, perfumer and a community rating for each product. - **Dupe / clone research:** compare note pyramids and accords across fragrances to find and document "smells like" matches. - **Rating & popularity monitoring:** schedule the actor on a watchlist and track how a fragrance's rating, vote count or site ranking moves over time. - **Scent-data analysis:** build a dataset of notes/accords across hundreds of releases for trend or recommendation work. ### How to get perfume URLs You almost always already have them: - Browse or search **parfumo.com** and copy the perfume page URLs. - Every Parfumo perfume page URL is `https://www.parfumo.com/Perfumes/{Brand}/{slug}` — you can also just pass the `{Brand}/{slug}` pair. Paste those into `perfumeUrls` and run. ### Limitations (read before buying) - **Discovery is by perfume URL, not keyword search.** This is deliberate: it keeps the actor on stable public perfume pages and avoids Parfumo's protected search endpoints (disallowed by `robots.txt`), so it stays reliable and does not get blocked. Collect the URLs first (from the site, your catalog, or a sitemap) and feed them here. - **Ratings and rankings are point-in-time.** Community scores and vote counts change; re-run to refresh. - **`concentration` can be `null`** when a perfume page does not carry a concentration label (some niche/older entries). - **Notes are only split into a pyramid when the page provides that grouping.** Otherwise you get the flat `notes` list only. - **Text is English** (the international `.com` storefront). Note and accord names follow Parfumo's own English labels. ### FAQ **Do I need a Parfumo account or API key?** No. The actor reads public perfume pages only. **Is this allowed?** The actor requests only public `/Perfumes/` pages, which Parfumo's `robots.txt` permits, at low volume. It collects factual fragrance data (notes, accords, aggregate ratings) — no personal data, no logged-in content, and no individual user reviews. **What if a URL doesn't exist?** You get a record with `"error": "not_found"` for that URL; the rest of the run continues. **Can I scrape individual user reviews?** No. This actor returns only aggregate, factual fragrance data — not personal user content. **Why Parfumo and not Fragrantica?** Fragrantica is heavily rate-limited / Cloudflare-protected and already has many (often broken) scrapers. Parfumo is a comparably large, community-driven fragrance encyclopedia that still serves clean pages — a more reliable source for the same class of data. # Actor input Schema ## `perfumeUrls` (type: `array`): One or more Parfumo perfume references. Paste full URLs (https://www.parfumo.com/Perfumes/Dior/sauvage), site paths (Perfumes/Dior/sauvage) or Brand/slug pairs (Dior/sauvage). This is the main input. ## `maxItems` (type: `integer`): Maximum number of perfumes to scrape. 0 means no limit (scrape everything you provided). ## `includeNotes` (type: `boolean`): Include the fragrance notes (flat list) and, when the page groups them, the top/heart/base pyramid. ## `includeAccords` (type: `boolean`): Include the main accords (e.g. Fresh, Spicy, Woody, Sweet) in ranked order. ## `includeCommunityRatings` (type: `boolean`): Include per-dimension community ratings (scent, longevity, sillage, bottle, value) with average and vote count. ## `includeImage` (type: `boolean`): Include the perfume's main image URL. ## `maxConcurrency` (type: `integer`): Maximum parallel requests. Keep this low (default 3) to stay polite to Parfumo and avoid rate limiting. ## `proxyConfiguration` (type: `object`): Proxy settings. Parfumo perfume pages are lightly protected; the default Apify Proxy (datacenter) is usually enough. Switch to residential if you scrape very large lists. ## Actor input object example ```json { "perfumeUrls": [ "https://www.parfumo.com/Perfumes/Dior/sauvage" ], "maxItems": 0, "includeNotes": true, "includeAccords": true, "includeCommunityRatings": true, "includeImage": false, "maxConcurrency": 3, "proxyConfiguration": { "useApifyProxy": true } } ``` # 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 '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "perfumeUrls": [ "https://www.parfumo.com/Perfumes/Dior/sauvage", "https://www.parfumo.com/Perfumes/Creed/aventus" ] }; // Run the Actor and wait for it to finish const run = await client.actor("minty_modesty/parfumo-perfume-data-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 '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "perfumeUrls": [ "https://www.parfumo.com/Perfumes/Dior/sauvage", "https://www.parfumo.com/Perfumes/Creed/aventus", ] } # Run the Actor and wait for it to finish run = client.actor("minty_modesty/parfumo-perfume-data-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 '{ "perfumeUrls": [ "https://www.parfumo.com/Perfumes/Dior/sauvage", "https://www.parfumo.com/Perfumes/Creed/aventus" ] }' | apify call minty_modesty/parfumo-perfume-data-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=minty_modesty/parfumo-perfume-data-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Parfumo Fragrance Scraper — Notes, Accords, Ratings & Perfumers", "description": "Turn Parfumo perfume URLs into clean JSON: brand, release year, concentration, gender, community rating, per-dimension ratings, perfumers, main accords and the full top/heart/base note pyramid.", "version": "0.0", "x-build-id": "uuLfUuRZ3EWxfKoHT" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/minty_modesty~parfumo-perfume-data-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-minty_modesty-parfumo-perfume-data-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/minty_modesty~parfumo-perfume-data-scraper/runs": { "post": { "operationId": "runs-sync-minty_modesty-parfumo-perfume-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/minty_modesty~parfumo-perfume-data-scraper/run-sync": { "post": { "operationId": "run-sync-minty_modesty-parfumo-perfume-data-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "perfumeUrls": { "title": "Parfumo perfume URLs", "type": "array", "description": "One or more Parfumo perfume references. Paste full URLs (https://www.parfumo.com/Perfumes/Dior/sauvage), site paths (Perfumes/Dior/sauvage) or Brand/slug pairs (Dior/sauvage). This is the main input.", "items": { "type": "string" } }, "maxItems": { "title": "Max items", "minimum": 0, "type": "integer", "description": "Maximum number of perfumes to scrape. 0 means no limit (scrape everything you provided).", "default": 0 }, "includeNotes": { "title": "Include fragrance notes", "type": "boolean", "description": "Include the fragrance notes (flat list) and, when the page groups them, the top/heart/base pyramid.", "default": true }, "includeAccords": { "title": "Include main accords", "type": "boolean", "description": "Include the main accords (e.g. Fresh, Spicy, Woody, Sweet) in ranked order.", "default": true }, "includeCommunityRatings": { "title": "Include community rating breakdown", "type": "boolean", "description": "Include per-dimension community ratings (scent, longevity, sillage, bottle, value) with average and vote count.", "default": true }, "includeImage": { "title": "Include image URL", "type": "boolean", "description": "Include the perfume's main image URL.", "default": false }, "maxConcurrency": { "title": "Max concurrency", "minimum": 1, "maximum": 10, "type": "integer", "description": "Maximum parallel requests. Keep this low (default 3) to stay polite to Parfumo and avoid rate limiting.", "default": 3 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy settings. Parfumo perfume pages are lightly protected; the default Apify Proxy (datacenter) is usually enough. Switch to residential if you scrape very large lists.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```