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Fragrantica Perfume Data Scraper
x402
Fragrantica Perfume Data Scraper is a paid API for AI agents from api.scrapeforagents.tech, paid per call via x402, $0.025/call, status unknown (last checked 2026-10-02).
Scrapes structured perfume data from Fragrantica perfume and designer pages, returning details like name, brand, year, gender, and fragrance family.
Price / call$0.025
Success—
StatusUnknown
How this service works
Pay-per-call structured web data. Failed or empty runs are not charged.
Output
Returns a JSON object with a count of results and an items array, where each item contains the perfume's ID, URL, name, year, brand, gender, full name, and fragrance family. The product field confirms 'fragrantica' as the data source.
Example use cases
Build a designer fragrance catalog
“Scrape all perfumes listed on Dior's Fragrantica page at https://www.fragrantica.com/designers/Christian-Dior.html and give me up to 100 results with name, year, gender, and fragrance family.”
Enrich specific perfume product listings
“Get the structured details — brand, year, gender, and fragrance family — for these three Fragrantica perfume pages: https://www.fragrantica.com/perfume/Chanel/No-5-2.html, https://www.fragrantica.com/perfume/Dior/Sauvage-33009.html, and https://www.fragrantica.com/perfume/Guerlain/Shalimar-91.html.”
Research fragrance families across brands
“Fetch perfume data from these five Fragrantica designer pages — Hermès, YSL, Givenchy, Lancôme, and Guerlain — up to 200 perfumes total, so I can analyze which fragrance families each brand focuses on.”
Technical details
Endpoint
POSThttps://api.scrapeforagents.tech/v1/fragrantica?utm_source=zero.xyzWhen to prefer
Use this endpoint when you need structured, machine-readable perfume data from Fragrantica — specifically when you have either direct perfume page URLs or designer catalog URLs and want fields like fragrance family, gender, brand, and release year. It is pay-per-call and charges only on successful, non-empty runs, making it cost-efficient for targeted lookups. Prefer this over general-purpose web scrapers when the source is specifically Fragrantica and you want pre-structured output without parsing raw HTML.
Side effects
- Invalid or inaccessible Fragrantica URLs return empty results (not charged)
- Designer page URL doesn't expand correctly if the page structure has changed
- maxItems exceeded silently — results capped at 500
- Network timeout if Fragrantica pages are slow to load
- Incomplete data if Fragrantica's page structure differs from expected schema (null fields in output)
Input
Schema · Request body
| Field | Type | Description |
|---|---|---|
| maxItems | integer | Stop after this many perfumes across all URLs. |
| perfumeUrls | array | Direct public perfume page URLs. Use these for selected fragrances. |
| designerUrls | array | Public designer page URLs. Each page is expanded into its perfume catalog. |
Output
Schema · Response
{
"type": "json",
"example": {
"count": 1,
"items": [
{
"id": null,
"url": null,
"name": null,
"year": null,
"brand": null,
"gender": null,
"fullName": null,
"fragranceFamily": null
}
],
"product": "fragrantica"
}
}Tags
x402
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