Vestiaire Collective Scraper

Pull live pre-owned luxury fashion listings from Vestiaire Collective at scale — brand, current and original price, computed discount, condition grade, size, color, material, seller trust signals, and full photo galleries for bags, clothing, shoes, watches, jewelry, and accessories from Chanel, Gucci, Louis Vuitton, Hermès, Prada, and thousands more. Built for resale pricing analysts, luxury resellers, and market researchers who need fresh Vestiaire pricing and inventory data without manually browsing the marketplace listing by listing.

Why This Scraper?

• 6 product categories, Women / Men / Kids — Bags, Clothing, Shoes, Watches, Jewelry, and Accessories, each resolved across every gender universe so a single search sweeps the whole catalog.
• 5 condition grades, Never-worn-with-tag to Fair — filter to exactly the wear level you sell or research: Never worn with tag, Never worn, Very good, Good, or Fair.
• Original price + computed discount percentage on every listing — current price, the original listed price, and the discount percent are returned side by side, ready for repricing and margin math.
• Full seller trust profile — seller name, country, rating, and trust badges on every row, so you can weight listings by seller reputation.
• Up to 12-image galleries per item — the complete photo set, plus condition spec sheet and material, when full detail is enabled.
• Multi-currency pricing — request prices in EUR, USD, GBP, AUD, CAD, CHF, JPY, and 5 more, wherever Vestiaire supports the currency.
• Up to ~10,000 listings per search — paginate to the marketplace's own ceiling on any single query, with editorial-pick and sold flags on each item.
• Any search, category, or product URL accepted — paste a Vestiaire link and the type is auto-detected, or type a plain-text keyword and the actor builds the search for you.

Use Cases

Resale Pricing & Repricing

• Benchmark your asking prices against live Vestiaire listings for the same brand and model
• Track discount percentages across condition grades to set competitive prices
• Watch sold flags to learn what actually moves at which price point
• Pull original-vs-current price spreads to model depreciation by brand

Market & Trend Research

• Map inventory volume by brand, category, and gender universe
• Compare price distributions across Chanel, Gucci, Louis Vuitton, Hermès, and Prada
• Surface editorial-pick listings to read which pieces the marketplace is promoting
• Measure how condition grade shifts median price within a category

Brand & Authentication Monitoring

• Monitor how a specific brand's listings are priced and described over time
• Collect material and condition spec sheets to support authentication workflows
• Track listing volume spikes that signal a flood of a particular item

Inventory Sourcing

• Find underpriced items in target brands and price bands to resell
• Filter to Never-worn-with-tag stock for deadstock sourcing
• Build shortlists by category, size, and color for buyers

Competitive Intelligence

• Profile high-volume sellers by country, rating, and badge mix
• Compare your catalog against the live market by brand and price range
• Feed structured listing data into dashboards, pricing models, and alerting systems

Getting Started

Simple keyword search

Just type what you're looking for — the actor builds the search:

{
    "searchQueries": ["chanel flap bag"],
    "maxResults": 100
}

Brand, category, and price filters

Restrict to named brands, categories, and a price band:

{
    "searchQueries": ["loafers"],
    "brands": ["Gucci"],
    "categories": ["shoes"],
    "priceMin": 200,
    "priceMax": 600,
    "conditions": ["never_worn", "very_good"],
    "currency": "USD",
    "maxResults": 300
}

Paste URLs with full detail and sorting

Paste any Vestiaire search, category, or product URL, enrich each item, and sort:

{
    "startUrls": [
        "https://www.vestiairecollective.com/search/?q=hermes%20kelly",
        "https://www.vestiairecollective.com/women-bags/"
    ],
    "includeItemDetails": true,
    "sortBy": "price_asc",
    "currency": "GBP",
    "maxResults": 500
}

Input Reference

What to Scrape

Parameter	Type	Default	Description
startUrls	string[]	[]	Vestiaire Collective URLs — search, category, or individual product pages. The type is detected automatically. When you use URLs, the filters below are ignored: everything comes from the URL itself.
searchQueries	string[]	[]	Plain-text keyword searches, e.g. "chanel flap bag" or "gucci loafers". The actor builds the search for you. The filters below apply to these searches.

Search Filters

These refine your searchQueries. They are ignored when you paste URLs (pasted URLs carry their own filters).

Parameter	Type	Default	Description
brands	string[]	[]	Restrict to named brands, e.g. "Chanel", "Gucci", "Louis Vuitton". Leave empty for all brands.
categories	multi-select	[]	One or more of: Bags, Clothing, Shoes, Watches, Jewelry, Accessories. Leave empty for all categories.
conditions	multi-select	[]	One or more of 5 grades: Never worn with tag, Never worn, Very good condition, Good condition, Fair condition. Leave empty for all.
priceMin	integer	—	Only include items at or above this price, in the chosen currency.
priceMax	integer	—	Only include items at or below this price, in the chosen currency.
sortBy	select	Most relevant	Result order: Most relevant, Newest listed first, Price: low to high, or Price: high to low.

Options

Parameter	Type	Default	Description
maxResults	integer	100	Maximum items per URL or search. Set to 0 for as many as possible. Vestiaire returns at most ~10,000 items per single search — split into narrower searches (by brand, category, or price band) to gather more. The last page is always returned in full, so you may receive slightly more than this number.
includeItemDetails	boolean	false	Open each item's page for the complete spec sheet, full photo gallery, and richer seller statistics. Slower and richer — leave off if basic listing data is enough.
currency	select	Euro (EUR)	Currency for the prices in the results: EUR, USD, GBP, AUD, CAD, CHF, DKK, SEK, HKD, SGD, JPY, or KRW, wherever Vestiaire supports it.

Output

One flat row per listing. Here's a representative result with full item details enabled:

{
    "id": "48217734",
    "url": "https://www.vestiairecollective.com/women-bags/handbags/chanel/black-leather-classic-flap-bag-chanel-48217734.shtml",
    "title": "Timeless/Classique leather handbag",
    "description": "Authentic Chanel Classic Flap in black quilted lambskin with gold-tone hardware. Comes with dust bag and authenticity card.",
    "brand": "Chanel",
    "category": "Handbags",
    "categoryPath": ["Women", "Bags", "Handbags"],
    "gender": "Women",
    "condition": "Very good condition",
    "size": "Medium",
    "color": "Black",
    "material": "Leather",
    "likesCount": 134,
    "editorialPick": true,
    "isSold": false,
    "isDirectShipping": true,
    "price": 3450,
    "originalPrice": 4200,
    "discountPercent": 18,
    "currency": "EUR",
    "sellerId": "9912034",
    "sellerName": "luxe_resell_paris",
    "sellerCountry": "FR",
    "sellerRating": "Trusted",
    "sellerBadges": ["expert_seller", "fast_shipper"],
    "images": [
        "https://images.vestiairecollective.com/produit/48217734-1_2.jpg",
        "https://images.vestiairecollective.com/produit/48217734-2_2.jpg"
    ],
    "imageUrl": "https://images.vestiairecollective.com/produit/48217734-1_2.jpg",
    "listedAt": "2026-05-12T09:24:00Z",
    "scrapedAt": "2026-06-29T14:30:00Z"
}

Fields marked (detail only) populate fully only when includeItemDetails is on — condition, material, the complete images gallery, and sellerRating are among them. With detail off, you still get core listing data, pricing, and basic seller fields.

Core Fields

Field	Type	Description
id	string	Unique Vestiaire Collective listing identifier
url	string	Direct link to the listing
title	string	Listing title
description	string	Listing description (richer with detail on)
brand	string	Brand name, e.g. Chanel, Gucci
category	string	Item category name
categoryPath	string[]	Full category breadcrumb, e.g. ["Women", "Bags", "Handbags"]
gender	string	Gender universe: Women, Men, or Kids

Item Attributes

Field	Type	Description
condition	string	Condition grade, e.g. "Very good condition" (detail only)
size	string	Item size as listed
color	string	Primary color
material	string	Material, e.g. "Leather" (detail only)
likesCount	number	Number of likes on the listing
editorialPick	boolean	Whether the marketplace flagged the item as an editorial pick
isSold	boolean	Whether the item has sold
isDirectShipping	boolean	Whether the item ships directly from the seller

Pricing

Field	Type	Description
price	number	Current asking price in the chosen currency
originalPrice	number	Original listed price, when present
discountPercent	number	Computed discount from original to current price
currency	string	Currency code for the prices, e.g. EUR, USD

Seller

Field	Type	Description
sellerId	string	Unique seller identifier
sellerName	string	Seller display name
sellerCountry	string	Seller's country code
sellerRating	string	Seller rating / trust level (detail only)
sellerBadges	string[]	Seller trust badges, e.g. expert_seller, fast_shipper

Media & Timestamps

Field	Type	Description
images	string[]	Full photo gallery, up to 12 images (complete with detail on)
imageUrl	string	Primary listing image
listedAt	string	ISO timestamp when the item was listed
scrapedAt	string	ISO timestamp of data extraction

Tips for Best Results

• Start small — set maxResults to 50–100 on your first run to confirm the data matches your needs, then scale up.
• Split deep searches — a single search returns up to ~10,000 listings. To go beyond that, run several narrower searches (by brand, category, or price band) and combine the results.
• Enable detail on a shortlist — includeItemDetails fetches each listing individually, so it's slower and costs more. Filter to a focused set first, then turn it on for the spec sheet, full gallery, and seller rating.
• Mix queries and URLs in one run — combine plain-text searchQueries with pasted Vestiaire URLs to cover several angles at once.
• Set the currency to your market — request prices in your selling currency so the price, original price, and discount fields are directly comparable.
• Use condition grades to segment — filter to Never-worn-with-tag for deadstock sourcing, or compare median price across grades to map depreciation.
• Sort by Price: low to high for sourcing — surface the cheapest matching listings first when hunting for underpriced inventory to resell.

Pricing

From $15 per 1,000 results — pay only for the listings you collect, billed per result. Bronze, Silver, and Gold subscribers pay progressively less; the table below shows total cost at each discount tier.

Results	No discount	Bronze	Silver	Gold
100	$1.80	$1.70	$1.60	$1.50
1,000	$18	$17	$16	$15
10,000	$180	$170	$160	$150
100,000	$1,800	$1,700	$1,600	$1,500

A "result" is any listing row in the output dataset. No compute or time-based charges — you pay per result, plus a small fixed per-run start fee.

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 integrations on run completion
• Apify API — Full programmatic access

Legal & Ethical Use

This actor is designed for legitimate resale pricing analysis, market research, and inventory sourcing. Users are responsible for complying with applicable laws and Vestiaire Collective's Terms of Service. Do not use extracted data for spam, harassment, or any illegal purpose, and handle any personal data, including seller information, responsibly and in line with applicable privacy regulations.