We extract designer product listings, condition grades, authenticity markers, and dynamic pricing from The Luxury Closet. Delivered as clean JSON, CSV, or Parquet to your warehouse.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Product Listings objects from theluxurycloset.com. All fields typed and schema-versioned.
"product_id": "TLC-894211", "title": "Hermes Gold Togo Leather Birkin 35", "brand": "Hermes", "category": "Handbags", "condition": "Excellent", "availability": "In Stock", "scraped_at": "2026-05-12T09:14:00Z"
| # | product_id | title | brand | category | sub_category | condition |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Discounts objects from theluxurycloset.com. All fields typed and schema-versioned.
"product_id": "TLC-894211", "current_price": 14500.0, "original_retail_price": 12000.0, "discount_pct": 0, "currency": "USD", "duties_included": true, "promotional_tags": "['Rare', 'Investment Piece']"
| # | product_id | current_price | original_retail_price | discount_pct | currency | shipping_cost |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Authenticity & Specs objects from theluxurycloset.com. All fields typed and schema-versioned.
"product_id": "TLC-894211", "authenticity_guarantee": true, "includes": "['Dustbag', 'Padlock', 'Keys', 'Clochette']", "exterior_material": "Togo Leather", "hardware_colour": "Gold-tone", "origin_country": "France", "production_year": "2018"
| # | product_id | authenticity_guarantee | includes | exterior_material | interior_material | hardware_colour |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Condition Details objects from theluxurycloset.com. All fields typed and schema-versioned.
"product_id": "TLC-894211", "overall_condition_grade": "Excellent", "exterior_condition_notes": "Minor scuffs on bottom corners.", "interior_condition_notes": "Clean, no visible marks.", "hardware_condition_notes": "Faint hairline scratches.", "condition_image_urls": "['https://img.theluxurycloset.com/cond1.jpg']"
| # | product_id | overall_condition_grade | exterior_condition_notes | interior_condition_notes | hardware_condition_notes | smell_odour |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search & Category objects from theluxurycloset.com. All fields typed and schema-versioned.
"search_term": "rolex submariner", "category_path": "Watches > Luxury Watches", "position": 1, "product_id": "TLC-992104", "brand": "Rolex", "price": 12500.0, "new_arrival_badge": true
| # | search_term | category_path | position | product_id | title | brand |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our pipeline captures the nuances of pre-owned luxury: exact condition grades, reference numbers, included accessories, and high-resolution imagery required for market analysis.
Extract materials, hardware colour, dimensions, production year, and country of origin for bags, shoes, watches, and apparel.
Capture the exact condition tier alongside specific wear-and-tear notes for exterior, interior, and hardware.
Track the listed resale price against the estimated original retail price to calculate depreciation or premium margins.
Log whether items come with original boxes, dustbags, authenticity cards, or manufacturer warranties.
Monitor availability states for unique items to track sales velocity and time-on-market for specific brands.
Extract URLs for all product images, including extreme close-ups used for authentication and condition verification.
Maintain clean hierarchies for designers and sub-categories to normalise data for your internal catalogue.
Extract pricing in your preferred currency while tracking local market duties and shipping inclusions.
Run pipelines daily or weekly to capture new arrivals and price drops without downloading the entire catalogue.
Brief in. Clean data out.
Provide target brands, categories, or specific URLs. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for theluxurycloset.com.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Scraping unique, single-stock items requires precise inventory tracking and image extraction. Here is how we optimise the process.
Unlike standard retail, luxury resale items are unique. We track the exact product ID and monitor its status from 'Available' to 'Reserved' to 'Sold', giving you precise sales velocity metrics.
Authentication models require high-resolution images. We bypass thumbnails and extract the direct CDN links for maximum-zoom images, ensuring your dataset includes every stitch and hardware detail.
The Luxury Closet adjusts pricing based on the user's location. We route requests through region-specific residential proxies to capture accurate local pricing, tax, and duty information.
Category pages rely heavily on JavaScript for pagination and filtering. We use Playwright to execute browser sessions, ensuring no products are missed during the extraction phase.
We maintain a hash index of last-seen values per product. Subsequent runs only push diffs for price reductions or status changes, reducing your downstream processing load.
Resale platforms and pawnbrokers use competitor pricing data to set accurate buy-out offers and listing prices.
Machine learning teams scrape high-resolution images and condition notes to train computer vision models for counterfeit detection.
Luxury houses track secondary market premiums and depreciation rates to measure brand desirability and control supply.
Fashion analysts monitor sales velocity across specific brands and silhouettes to predict upcoming consumer trends.
Professional buyers track price discrepancies across multiple resale platforms to identify immediate arbitrage opportunities.
Retailers analyse inventory depth, brand mix, and category distribution to optimise their own merchandising strategies.
"The luxury resale market operates on condition, authenticity, and scarcity. Pricing a 1-of-1 Birkin requires parsing exact condition grades, not just the brand name."
Extracting data from The Luxury Closet requires navigating dynamic inventory, high-resolution condition images, and localised currency pricing. DataFlirt handles the proxy rotation, JavaScript execution, and schema normalisation so your engineers can focus on pricing models instead of scraper maintenance.
Everything supported by our theluxurycloset.com scraper — rendered SPA elements, auth walls, rate-limit evasion and beyond.
Open-source tooling on proven cloud infra — no vendor lock-in, full observability.
Scrapy handles crawl orchestration and deduplication. Playwright handles JavaScript rendering and dynamic content loading for category pages.
We maintain pools of residential proxies to bypass regional blocks and capture accurate localised pricing and duty information.
Pipelines run on ECS and AWS Lambda. Airflow handles scheduling and dependency management. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About theluxurycloset.com scraping, legality, and pipeline operations.
Ask us directly →Yes. We bypass standard thumbnail URLs and extract the direct CDN links for maximum-resolution images, which are essential for training computer vision models or verifying hardware and stitching details.
We track the unique product ID for every listing. By running scheduled diffs, we can monitor when a specific item changes status from available to sold, providing accurate sales velocity metrics.
Yes. Beyond the top-level condition grade (e.g., Pristine, Excellent), we extract the detailed text notes regarding exterior wear, interior marks, hardware scratches, and odours.
Where provided on the listing, we extract both the current resale price and the estimated original retail price, allowing you to calculate depreciation or premium percentages automatically.
The Luxury Closet displays different prices based on the user's location. We configure our residential proxies to route requests from your target region (e.g., US, UAE, UK) to capture accurate local pricing and tax inclusions.
We can configure pipelines to run daily for full catalogue refreshes, or hourly for specific high-value categories to monitor price drops and new arrivals.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or a continuous feed of new arrivals and price drops, we build and operate the infrastructure. Tell us what you need.