We extract watch listings, strap variations, dial colours, pricing, stock depth, and bundle configurations from Cluse. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery on your cadence.
Structured, schema-consistent data across all major object types — delivered clean, typed, and ready to query.
Complete list of extractable fields for Watch Models objects from cluse.com. All fields typed and schema-versioned.
"sku": "CW0101201004", "title": "La Bohème Rose Gold White/Grey", "collection": "La Bohème", "category": "Watches", "price": 99.95, "currency": "EUR", "gender": "Women"
| # | product_id | sku | title | collection | category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Strap & Dial Variants objects from cluse.com. All fields typed and schema-versioned.
"variant_sku": "CS14011", "parent_sku": "CW0101201004", "strap_colour": "Grey", "strap_material": "Leather", "dial_colour": "White", "case_colour": "Rose Gold", "stock_status": "in_stock"
| # | variant_sku | parent_sku | strap_colour | strap_material | dial_colour | case_colour |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Inventory objects from cluse.com. All fields typed and schema-versioned.
"sku": "CW0101201004", "region": "EU", "currency": "EUR", "base_price": 99.95, "sale_price": 89.95, "availability_status": "in_stock", "scraped_at": "2026-05-12T09:14:00Z"
| # | sku | region | currency | base_price | sale_price | discount_percentage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specifications objects from cluse.com. All fields typed and schema-versioned.
"sku": "CW0101201004", "case_diameter": "38 mm", "case_thickness": "7 mm", "case_material": "Brass", "glass_type": "Mineral", "movement_type": "Quartz", "water_resistance": "3 ATM", "strap_width": "18 mm"
| # | sku | case_diameter | case_thickness | case_material | glass_type | movement_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Bundles & Sets objects from cluse.com. All fields typed and schema-versioned.
"bundle_sku": "CG10116", "bundle_name": "Minuit Mesh Gift Box", "bundle_price": 129.95, "currency": "EUR", "component_skus": "['CW0101203001', 'CS14011']", "total_value": 149.9, "savings_amount": 19.95
| # | bundle_sku | bundle_name | bundle_price | currency | included_items | component_skus |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Cluse scraper maps complex watch-to-strap variant logic, tracks multi-currency pricing, and monitors stock levels across regional storefronts.
Extract SKU, name, collection, and category mapping across all watch, jewelry, and strap categories.
Resolve interchangeable strap options to parent watch faces, capturing all possible product combinations.
Track EUR, GBP, and USD pricing dynamically based on regional storefront routing and session headers.
Monitor in-stock, out-of-stock, and low-stock indicators per variant to inform merchandising decisions.
Extract component SKUs from gift sets to calculate individual item value and total bundle savings.
Capture case diameter, water resistance, movement type, and strap width directly from product detail accordions.
Extract high-resolution product images, variant-specific gallery assets, and lifestyle lookbook photography.
Scrape localised sites (.com, .co.uk, EU domains) to capture region-specific assortments and campaigns.
Run daily catalogue syncs that only push modified SKUs, reducing downstream data warehouse compute costs.
Brief in. Clean data out.
Provide target collections, region URLs, or full-site directives. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for cluse.com.
Schema validation, null-rate checks, and variant mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting DTC watch catalogues requires precise variant mapping and regional session management. Here is how we maintain data integrity.
Cluse watches feature interchangeable straps, creating a complex SKU matrix. Our crawlers execute JavaScript to iterate through all strap and dial combinations, recording the unique SKU, price, and stock status for every possible variant.
Cluse dynamically alters pricing and currency based on the user's IP and session cookies. We utilise region-specific residential proxies and strict cookie management to extract accurate localised pricing for EU, UK, and US markets.
Stock levels and availability badges often load asynchronously via XHR requests after the initial page render. We use Playwright to intercept these network requests, ensuring inventory data is perfectly synchronised with the product record.
Gift sets and bundles contain multiple individual products. Our pipeline parses the DOM to extract the underlying component SKUs, allowing your analysts to calculate true discount rates and component-level inventory consumption.
eCommerce platforms frequently update their frontend components. We deploy multiple fallback extraction rules per field, ensuring that a minor CSS class change on the Cluse storefront does not interrupt your daily data feed.
Fashion and accessory brands track Cluse pricing, discount velocity, and promotional campaigns to benchmark their own pricing strategies.
Retail buyers analyse category depth across watches and jewelry to understand product lifecycle and new collection launch cadences.
Market analysts monitor the introduction of new case materials, dial colours, and strap variations to quantify emerging fashion trends.
Brand protection teams compare official Cluse pricing and SKUs against third-party marketplaces to identify unauthorised resellers.
Supply chain teams track out-of-stock rates across specific collections to estimate sales velocity and production bottlenecks.
Marketing agencies extract product reviews and ratings to run sentiment analysis on specific watch collections and materials.
"Cluse's modular product architecture means a single watch face creates dozens of SKUs. Extracting accurate variant data requires precise DOM mapping."
DTC watch brands utilise complex front-end logic to handle interchangeable straps and customisable bundles. Standard HTTP clients fail to resolve these dynamic SKU matrices. DataFlirt executes full browser sessions to map every watch, strap, and dial combination accurately, delivering normalised catalogue data directly to your warehouse.
Everything supported by our cluse.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 manages JavaScript rendering, variant selection clicks, and regional cookie sessions.
We route requests through EU, UK, and US residential proxies to ensure the pricing and assortment data matches the target geographic market.
Pipelines run on AWS infrastructure. Airflow handles daily scheduling and change-detection diffing. All state is stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About cluse.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available catalogue and pricing data is generally permissible. DataFlirt targets only public, non-authenticated product information. We do not extract user data or bypass authentication walls.
Yes. Our pipeline iterates through frontend configuration options to capture every valid combination of watch face and strap, generating a distinct record and price for each variant.
We utilise region-specific residential proxies and manage locale cookies to ensure we extract accurate EUR, GBP, or USD pricing exactly as a local customer would see it.
Yes. We parse the DOM to identify the individual SKUs that comprise a gift set, allowing you to calculate the component value versus the bundled price.
We can configure pipelines to run at daily, hourly, or custom intervals depending on your monitoring requirements and the total number of SKUs targeted.
Yes. We extract URLs for all media assets associated with a product, including primary product shots, variant-specific images, and lifestyle lookbook photography.
Our minimum engagement covers a complete catalogue extraction for a single region delivered weekly. Multi-region daily tracking is scoped based on total variant count and run frequency.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price and stock monitoring across all regional storefronts - we scope, build, and operate the pipeline. Tell us what you need.
