Fendi Product Scraper

Extract the official Fendi.com catalog as clean, structured JSON — the first Apify actor that scrapes the first-party maison storefront directly, not a reseller or marketplace. Get authoritative retail prices (MSRP), official product names and descriptions, materials, colors, stock status, hi-res official images, and category data — by keyword search, category, product ID, or the entire product catalog, across the US, UK, France, Italy, and Japan storefronts (with the correct local currency).

Unlike multi-brand marketplace or pre-owned resale scrapers, this pulls official, current, first-party data straight from Fendi — ideal when you need the real retail price and the brand's own product copy and imagery.

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Who uses this

Buyer	Job to be done
Resellers / daigou / grey-market	Price inventory against official MSRP and compare pricing across US/UK/EU/JP regions.
Price-comparison & aggregator apps	Feed a clean, stable JSON catalog of official Fendi products into your platform.
Brand & market analysts	Track assortment, price positioning, new arrivals, materials, and seasonal mix.
Fashion researchers & data teams	Build datasets of luxury pricing, categories, and product attributes.

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Output fields

Each dataset row is one product:

Field	Type	Description
product_id	string	Product SKU / Algolia objectID (e.g. 8BN372B1E6F0TX1).
name	string	Official product name.
price	number	Official retail price (MSRP) in the locale's currency.
currency	string	ISO currency code (USD, GBP, EUR, JPY).
in_stock	boolean	Whether the product is in stock.
short_description	string	Short marketing description.
description	string	Full long description (may contain HTML).
material	string	Primary material (e.g. 100% calfskin).
color	string	Color.
gender	string	Target gender (Woman / Man / …).
family	string	Product family / line (Peekaboo, Baguette, …).
category	string	Primary category ID (e.g. us_woman_bags).
category_name	string	Primary category display name (e.g. Bags).
categories	array	All category IDs the product belongs to.
season	string	Product season code.
launch_date	string	Product launch date (YYYY-MM-DD).
views_month	integer	Monthly view / popularity metric.
images	array	Official product image URLs.
url	string	Canonical product page URL.
locale	string	Storefront locale scraped.
input_type	string	search | category | product | sitemap.
source	string	The input value that produced the row.
scraped_at	string	ISO-8601 scrape timestamp.

Empty fields are omitted from a row.

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Use cases

• Regional price benchmarking — run the same products across us-en, gb-en, fr-fr, it-it, and jp-ja to compare MSRP and spot regional price gaps.
• Reseller pricing intelligence — pull the official price and stock for a set of SKUs to price your own listings against retail.
• New-arrival monitoring — full-catalog mode with Only products updated since gives you a daily diff of newly added or updated products.
• Assortment analysis — scrape a category (e.g. us_woman_bags_peekaboo) to map the line-up, materials, colors, and price ladder.
• Catalog feed — keep an always-fresh JSON mirror of the Fendi catalog for a price-comparison or search product.

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Input parameters

Field	Type	Default	Description
searchQueries	array	[]	Keyword searches (Algolia). Each hit is a full product record.
categoryIds	array	[]	Fendi category IDs, e.g. us_woman_bags_peekaboo.
productIds	array	[]	Product SKUs or full product URLs.
scrapeFullCatalog	boolean	false	Iterate the entire product sitemap for the locale.
locale	string	us-en	us-en, gb-en, fr-fr, it-it, or jp-ja.
sort	string	relevance	relevance, price_asc, price_desc, new_arrivals, most_popular.
filters	string	—	Advanced raw Algolia filter (search only).
scrapeDetail	boolean	false	Enrich sparse category/catalog rows with the full record.
includeOutOfStock	boolean	true	Skip out-of-stock products when off.
sinceDate	string	—	Full-catalog only: keep products updated on/after YYYY-MM-DD.
maxItems	integer	500	Global cap across all inputs.
maxItemsPerInput	integer	0	Per query/category cap (0 = unlimited).
proxyConfiguration	object	Apify Proxy	Optional — direct requests work; proxy helps at high volume.

Provide at least one of searchQueries, categoryIds, productIds, or scrapeFullCatalog.

Example input

{
    "searchQueries": ["peekaboo", "baguette"],
    "locale": "us-en",
    "sort": "relevance",
    "maxItems": 100
}

Category example with enrichment:

{
    "categoryIds": ["us_woman_bags_peekaboo"],
    "scrapeDetail": true,
    "locale": "us-en",
    "maxItems": 50
}

Example output

{
    "product_id": "8BR850B14XF1XFH",
    "name": "Baguette® 26424",
    "price": 11000,
    "currency": "USD",
    "in_stock": true,
    "short_description": "Raffia and bead Re Edition bag",
    "material": "Sequins and crystals",
    "color": "Multicolor",
    "gender": "Woman",
    "family": "Baguette",
    "category": "us_woman_bags",
    "category_name": "Bags",
    "images": ["https://s7e5a.scene7.com/is/image/fendi/8BR850B14XF1XFH_01"],
    "url": "https://www.fendi.com/us-en/8BR850B14XF1XFH.html",
    "locale": "us-en",
    "input_type": "search",
    "source": "baguette",
    "scraped_at": "2026-09-06T00:00:00Z"
}

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Scheduling & integrations

• Schedule daily/weekly runs from the Apify Console to keep a fresh catalog or monitor new arrivals (pair with sinceDate).
• Webhooks — trigger your own endpoint on run completion.
• Export to JSON, CSV, Excel, or push straight to Google Sheets, Make, Zapier, Airbyte, or S3 via Apify integrations.
• API — start runs and pull the dataset through the Apify API/SDK.

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Use with AI assistants (MCP)

This actor works well as a tool for AI agents. Point your MCP-compatible client (Claude, or any Apify MCP integration) at the actor and it can fetch live Fendi product data — prices, stock, and attributes — on demand as structured JSON.

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FAQ

Is there a limit on results? No hard limit — use maxItems to bound a run. Full-catalog mode covers the entire product sitemap for the locale (thousands of products).

How fresh is the data? It is scraped live on each run directly from Fendi's public catalog, so it reflects the site at run time.

Do I need a proxy? No. Fendi's catalog endpoints respond to direct requests. A proxy is offered as an option for high-volume runs or IP rotation.

Which regions are supported? United States (USD), United Kingdom (GBP), France (EUR), Italy (EUR), and Japan (JPY). Prices are returned in the region's currency.

Does it return contact info or personal data? No — only public product catalog data (prices, descriptions, images, categories). No personal data is collected.

Is this affiliated with Fendi? No. This is an independent tool that reads publicly available catalog data; it is not affiliated with or endorsed by Fendi.

Why are some category rows missing description/stock? Category listings return sparse tiles. Enable scrapeDetail to enrich each with its full record.