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Vestiaire Collective Scraper

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Vestiaire Collective Scraper

Vestiaire Collective Scraper

Extract product data from Vestiaire Collective! Automate collection of luxury fashion listings including prices, brands, images, seller information, and detailed product data. Perfect for market research, price monitoring, inventory tracking, and competitive analysis of pre-owned designer items.

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Pay per event

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ParseForge

ParseForge

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👜 Vestiaire Collective Scraper

🚀 Collect luxury resale listings from Vestiaire Collective in minutes. Paste any search or category URL and export prices, brands, seller data, product specs, and images. No coding, no account required.

🕒 Last updated: 2026-04-23 · 📊 36+ fields per product · 🔗 URL-based input · 👜 Pre-owned luxury · 🚫 No auth required

The Vestiaire Collective Scraper collects pre-owned luxury fashion data from Vestiaire Collective, returning 36+ fields per product: brand, title, price, original price, condition, size, color, material, seller name, seller location, editorial pick status, image gallery, and product URL. Runs support up to 1,000,000 items on a paid plan.

The Actor accepts any Vestiaire Collective URL: search results, category pages, brand pages, or individual product pages. Optional detail-page fetching adds comprehensive product specifications, seller history, and full image galleries.

🎯 Target Audience💡 Primary Use Cases
Fashion resellers, luxury brand analysts, e-commerce teams, price-monitoring services, market researchers, investment analystsResale price tracking, brand monitoring, inventory sourcing, market sizing, authentication research, competitor analysis

📋 What the Vestiaire Collective Scraper does

URL-based input with optional detail enrichment:

  • 🔗 URL mode. Paste any Vestiaire Collective URL: search, category, brand, or product pages.
  • 📝 Detail page fetching. Optional mode visits each product page for full specs, seller info, and image gallery.
  • 📦 Automatic pagination. Follows listing pages until maxItems is reached.

Each product record includes brand, title, price, original retail price, discount percentage, condition, size, color, material, category, seller name, seller location, seller rating, editorial pick status, image URLs, product URL, and timestamps.

💡 Why it matters: luxury resale is a $30B+ market. Tracking competitor pricing, sourcing inventory, and monitoring brand presence across resale platforms requires structured data. This Actor exports Vestiaire Collective listings at scale.


🎬 Full Demo

🚧 Coming soon: a 3-minute walkthrough showing how to go from sign-up to a downloaded dataset.


⚙️ Input

InputTypeDefaultBehavior
startUrlstring""Vestiaire Collective URL: search, category, brand, or product pages.
maxItemsinteger10Max products. Free: up to 100. Paid: up to 1,000,000.
includeDetailsbooleanfalseVisit each product page for full specs and images.
proxyConfigurationobjectApify residentialResidential proxies recommended for reliable scraping.

Example: Chanel bags on Vestiaire.

{
"startUrl": "https://www.vestiairecollective.com/search/?q=chanel+bag",
"maxItems": 50,
"includeDetails": true
}

Example: designer shoes category.

{
"startUrl": "https://www.vestiairecollective.com/women-shoes/",
"maxItems": 200
}

⚠️ Good to Know: enabling includeDetails visits each product's detail page for full specifications, seller data, and image galleries. This is slower but returns much richer data. Residential proxies are recommended.


📊 Output

Each product record contains 36+ fields (with details enabled). Download the dataset as CSV, Excel, JSON, or XML.

🧾 Schema (key fields)

FieldTypeExample
🖼️ imageUrlstring"https://images.vestiairecollective.com/..."
👜 brandstring"Chanel"
📝 titlestring"Classic Flap Leather Handbag"
💰 pricenumber3200
💵 originalPricenumber | null6500
📊 discountstring"51% off"
🏷️ conditionstring"Very Good"
📏 sizestring"One Size"
🎨 colorstring"Black"
🧵 materialstring"Leather"
📂 categorystring"Handbags"
👤 sellerNamestring"LuxuryCloset"
📍 sellerLocationstring"Paris, France"
sellerRatingnumber | null4.8
editorialPickbooleanfalse
🖼️ imagesarray["https://images.vestiairecollective.com/..."]
🔗 productUrlstring"https://www.vestiairecollective.com/..."
🕒 scrapedAtISO 8601"2026-04-16T00:00:00.000Z"

📦 Sample records


✨ Why choose this Actor

Capability
👜36+ fields per product. Brand, price, condition, size, color, material, seller, and images.
💰Price comparison data. Current price, original retail, and discount percentage.
👤Seller intelligence. Name, location, and rating per seller.
Editorial pick flag. Identify Vestiaire-curated listings.
📝Optional detail pages. Full specs, image gallery, and seller history.
Scalable. From quick 10-item samples to full category sweeps.
🚫No authentication. No Vestiaire account needed.

📊 The global pre-owned luxury market is valued at over $30 billion. Structured access to resale listings powers every pricing strategy, sourcing operation, and brand-monitoring workflow.


📈 How it compares to alternatives

ApproachCostCoverageRefreshFiltersSetup
⭐ Vestiaire Collective Scraper (this Actor)$5 free credit, then pay-per-useAny Vestiaire pageLive per runURL-based with all site filters⚡ 2 min
Manual Vestiaire browsingFreeManualManualUI only🕒 Hours per search
Paid luxury market data platforms$500-5,000/monthMulti-platformVariesMany🐢 Weeks

Pick this Actor when you want luxury resale data on demand, with seller and pricing details, without browsing listings one by one.


🚀 How to use

  1. 📝 Sign up. Create a free account with $5 credit (takes 2 minutes).
  2. 🌐 Open the Actor. Go to the Vestiaire Collective Scraper page on the Apify Store.
  3. 🎯 Set input. Paste a Vestiaire URL and set maxItems. Optionally enable detail fetching.
  4. 🚀 Run it. Click Start and let the Actor collect your data.
  5. 📥 Download. Grab your results in the Dataset tab as CSV, Excel, JSON, or XML.

⏱️ Total time from signup to downloaded dataset: 3-5 minutes. No coding required.


💼 Business use cases

💰 Resellers & Consignment

  • Track pricing trends by brand and category
  • Source inventory at competitive prices
  • Monitor competitor listings and pricing
  • Identify undervalued items for arbitrage

📊 Brand & Market Analysis

  • Monitor brand presence on resale platforms
  • Track discount depth and sell-through velocity
  • Compare pricing across luxury resale sites
  • Study category trends (bags vs shoes vs watches)

🛡️ Authentication & Compliance

  • Track listing patterns for counterfeit detection
  • Monitor seller reputation and rating trends
  • Build price databases for authentication reference
  • Audit editorial pick criteria and curation

📈 Investment & Valuation

  • Track resale value retention by brand
  • Build investment indices for collectible fashion
  • Compare original retail vs resale pricing
  • Monitor condition-to-price relationships


🌟 Beyond business use cases

Data like this powers more than commercial workflows. The same structured records support research, education, civic projects, and personal initiatives.

🎓 Research and academia

  • Empirical datasets for papers, thesis work, and coursework
  • Longitudinal studies tracking changes across snapshots
  • Reproducible research with cited, versioned data pulls
  • Classroom exercises on data analysis and ethical scraping

🎨 Personal and creative

  • Side projects, portfolio demos, and indie app launches
  • Data visualizations, dashboards, and infographics
  • Content research for bloggers, YouTubers, and podcasters
  • Hobbyist collections and personal trackers

🤝 Non-profit and civic

  • Transparency reporting and accountability projects
  • Advocacy campaigns backed by public-interest data
  • Community-run databases for local issues
  • Investigative journalism on public records

🧪 Experimentation

  • Prototype AI and machine-learning pipelines with real data
  • Validate product-market hypotheses before engineering spend
  • Train small domain-specific models on niche corpora
  • Test dashboard concepts with live input

🤖 Ask an AI assistant about this scraper

Open a ready-to-send prompt about this ParseForge actor in the AI of your choice:

❓ Frequently Asked Questions

💳 Do I need a paid Apify plan to run this actor?

No. You can start right now on the free Apify plan, which includes $5 in free monthly credit. That is enough to run this actor several times and explore the output before committing to anything. Paid plans unlock higher limits, more concurrent runs, and larger datasets. Create a free Apify account here to get started.

🚨 What happens if my run fails or returns no results?

Failed runs are not charged. If the source site changes, proxies get rate-limited, or a specific input matches nothing, re-run the actor or open our contact form and we will investigate. You can also check the run log in the Apify console to see why the run stopped.

📏 How many items can I scrape per run?

Free users are limited to 10 items per run so you can preview the output and confirm the actor works for your use case. Paid users can raise maxItems up to 1,000,000 per run. Upgrade here if you need full scale.

🕒 How fresh is the data?

Every run fetches live data at the moment of execution. There is no cache or delay: the records you get reflect what the source returned at that moment. Schedule the actor to maintain a rolling snapshot of the data you need.

🧑‍💻 Can I call this actor from my own code?

Yes. Apify exposes every actor as a REST endpoint and ships first-class SDKs for Node.js and Python. You can start a run, read the dataset, and handle webhooks from your own app in a few lines. All you need is your Apify API token.

📤 How do I export the data?

Every Apify dataset can be downloaded in one click from the console as CSV, JSON, JSONL, Excel, HTML, XML, or RSS. You can also pull results programmatically via the Apify API or stream them into BigQuery, S3, and other destinations through built-in integrations.

📅 Can I schedule the actor to run automatically?

Yes. Use the Apify scheduler to run the actor on any cadence, from hourly to monthly. Results are saved to your dataset and can be delivered to webhooks, email, Slack, cloud storage, or automation tools such as Zapier and Make.


🔌 Automating Vestiaire Collective Scraper

Control the scraper programmatically for scheduled runs and pipeline integrations:

  • 🟢 Node.js. Install the apify-client NPM package.
  • 🐍 Python. Use the apify-client PyPI package.
  • 📚 See the Apify API documentation for full details.

The Apify Schedules feature lets you trigger this Actor on any cron interval. Daily pulls keep your luxury pricing database in sync.

🔌 Integrate with any app

Vestiaire Collective Scraper connects to any cloud service via Apify integrations:

  • Make - Automate multi-step workflows
  • Zapier - Connect with 5,000+ apps
  • Slack - Get alerts on price drops
  • Airbyte - Pipe luxury data into your warehouse
  • GitHub - Trigger runs from commits and releases
  • Google Drive - Export datasets straight to Sheets

💡 Pro Tip: browse the complete ParseForge collection for more e-commerce and luxury scrapers.


🆘 Need Help? Open our contact form to request a new scraper, propose a custom data project, or report an issue.


⚠️ Disclaimer: this Actor is an independent tool and is not affiliated with, endorsed by, or sponsored by Vestiaire Collective or any of its subsidiaries. All trademarks mentioned are the property of their respective owners. Only publicly available listing data is collected.