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URL: https://apify.com/shahidirfan/vestiaire-collective-scraper

⇱ Vestiaire Collective Scraper Β· Apify


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Vestiaire Collective Scraper

Scrape Vestiaire Collective luxury fashion data effortlessly. Extract product listings, prices, conditions & seller info for price monitoring, market research & business intelligence. Fast, reliable automation.

Pricing

Pay per usage

Rating

5.0

(1)

Developer

πŸ‘ Shahid Irfan

Shahid Irfan

Maintained by Community

Actor stats

0

Bookmarked

16

Total users

3

Monthly active users

11 days ago

Last modified

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Extract product listings from Vestiaire Collective with a simple keyword-based setup. Collect rich listing data including brand, pricing, likes, sizing, flattened colors, complete image URLs, seller metadata, and product links at scale.


Features

  • Simple input setup - Run with either a listing URL or a keyword, plus result/page limits.
  • Internal smart defaults - Listing source, sort, locale, and core filters are configured internally.
  • Pagination handling - Continues collecting until results_wanted or max_pages is reached.
  • Structured product output - Returns normalized listing fields ready for analytics pipelines.
  • Clean dataset records - Omits empty values so output is compact and easier to process.

Use Cases

Resale Market Monitoring

Track second-hand luxury product trends by brand, category, and demand signals. Build historical datasets to monitor shifts in pricing and stock availability.

Competitive Intelligence

Compare category depth and listing quality across different URL patterns. Identify where specific brands or segments are most active.

Pricing Analysis

Collect listing price snapshots and combine them with engagement signals such as likes. Use this data to estimate sell-through potential and market positioning.

Inventory Sourcing Research

Discover high-volume categories and product types suitable for sourcing decisions. Filter by tags, keyword, or curated listing URLs.


Input Parameters

ParameterTypeRequiredDefaultDescription
urlStringNohttps://www.vestiairecollective.com/search/?q=gucciVestiaire search/category/brand/tag URL
keywordStringNogucciKeyword override for listing search
results_wantedIntegerNo20Maximum number of products to return
max_pagesIntegerNo10Maximum pages to process per URL
proxyConfigurationObjectNoApify ProxyProxy settings

When both are empty, the actor uses an internal default listing context.


Output Data

Each dataset item can contain the following fields:

FieldTypeDescription
idNumberListing identifier
nameStringListing title
descriptionStringListing description
brandIdNumberBrand identifier
brandNameStringBrand name
countryStringCountry context
linkStringProduct URL
likesNumberNumber of likes
soldBooleanSold flag
stockBooleanStock value/status
universeIdNumberUniverse id
createdAtNumberCreation timestamp
colorNamesArrayFlattened color names
primaryColorStringPrimary color name
sizeStringSize label
pictureUrlsArrayListing image URLs
imageCountNumberTotal number of unique image URLs
priceAmountNumberNumeric price amount
priceCurrencyStringCurrency code
priceFormattedStringLocalized display price
sellerIdNumberSeller identifier
sellerNameStringSeller name
localEligibleBooleanLocal shipping eligibility
directShippingEligibleBooleanDirect shipping eligibility
editorPicksObjectEditor selection flags
sourceUrlStringInput URL used for this record
searchKeywordStringEffective keyword applied
appliedSortStringApplied sort value
appliedCatalogPathStringApplied category path
appliedUniverseIdStringApplied universe id

Usage Examples

Basic Listing Extraction

{
"url":"https://us.vestiairecollective.com/women-accessories/watches/#categoryParent=Accessories%236_category=6%20%3E%20Watches%2344_gender=Women%231",
"results_wanted":20
}

Keyword Search

{
"keyword":"gucci",
"results_wanted":50,
"max_pages":10
}

Sample Output

{
"id":"65518631",
"name":"Leather handbag",
"brandId":"37",
"brandName":"Gucci",
"country":"US",
"link":"https://us.vestiairecollective.com/women-bags/handbags/gucci/",
"likes":18,
"stock":"1",
"universeId":"1",
"createdAt":1776303138,
"colorNames":["White","Cream"],
"primaryColor":"White",
"pictureUrls":[
"https://images.vestiairecollective.com/produit/66074344-1.jpg",
"https://images.vestiairecollective.com/produit/66074344-2.jpg"
],
"imageCount":2,
"priceAmount":749,
"priceCurrency":"USD",
"priceFormatted":"$749",
"sellerId":3201983,
"sellerName":"fashioncloset",
"directShippingEligible":true,
"sourceUrl":"https://us.vestiairecollective.com/women/#gender=Women%231",
"searchKeyword":"gucci",
"appliedSort":"relevance",
"appliedCatalogPath":"/women/",
"appliedUniverseId":"1"
}

Tips For Best Results

Start With Small Runs

  • Use results_wanted: 20 to validate your input setup.
  • Increase result limits only after verifying output quality.

Prefer Stable Listing URLs

  • Use listing pages instead of individual product detail pages.
  • Keep category paths consistent for easier trend comparisons.

Tune Filters Incrementally

  • Adjust keyword and run smaller batches first.
  • Compare output volume after each filter change.

Use Proxy For Larger Runs

  • Residential proxy is recommended for production-scale runs.
  • Keep request volume aligned with your desired data freshness.

Integrations

  • Google Sheets - Export product records for quick analysis.
  • Airtable - Build searchable luxury resale datasets.
  • Make - Trigger automated enrichment and notifications.
  • Zapier - Connect output to CRM, docs, or alerting tools.
  • Webhooks - Forward new data to your own services.

Export Formats

  • JSON - Programmatic workflows and APIs.
  • CSV - Spreadsheet and BI analysis.
  • Excel - Business reporting.
  • XML - Legacy system integration.

Frequently Asked Questions

Does this actor support keyword search?

Yes. Use the keyword input.

Why are some fields missing in certain records?

Some listings do not expose every optional field, and empty values are intentionally omitted from output.

How can I limit run time?

Use lower values for results_wanted and max_pages.

Is proxy required?

Proxy is optional for small runs, but recommended for production stability.


Support

For support requests and feature suggestions, open an issue through the Apify actor page.

Resources


Legal Notice

This actor is designed for legitimate data collection use cases. You are responsible for complying with website terms, applicable laws, and responsible usage practices in your jurisdiction.

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