We extract product specifications, pricing signals, movement details, and boutique inventory from Montblanc. Delivered as clean JSON, CSV, or Parquet to S3 or Snowflake 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 Specifications objects from montblanc.com. All fields typed and schema-versioned.
"SKU": "MB129618", "title": "Montblanc 1858 Iced Sea Automatic Date", "collection": "1858", "calibre": "MB 24.17", "movement_type": "Automatic", "power_reserve": "41 h", "case_material": "Stainless Steel", "case_diameter": "41 mm", "water_resistance": "30 bar", "price": 3150.0, "currency": "EUR"
| # | SKU | title | collection | calibre | movement_type | power_reserve |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Writing Instruments objects from montblanc.com. All fields typed and schema-versioned.
"SKU": "MB12890", "title": "Meisterstück Gold-Coated Classique Fountain Pen", "collection": "Meisterstück", "nib_material": "Au585 / 14 K gold", "nib_size": "M", "writing_system": "Fountain Pen", "price": 630.0, "currency": "EUR"
| # | SKU | title | collection | nib_material | nib_size | barrel_material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Leather Goods objects from montblanc.com. All fields typed and schema-versioned.
"SKU": "MB129994", "title": "Meisterstück Document Case", "category": "Bags", "material": "Full-grain calfskin", "colour": "Black", "dimensions": "390 x 90 x 280 mm", "price": 1450.0, "availability": "In Stock"
| # | SKU | title | category | material | colour | dimensions |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Boutique Availability objects from montblanc.com. All fields typed and schema-versioned.
"SKU": "MB129618", "boutique_id": "STORE_LND_01", "boutique_name": "Montblanc Boutique London New Bond Street", "city": "London", "country": "UK", "stock_status": "Available", "phone": "+44 20 7493 2220"
| # | SKU | boutique_id | boutique_name | city | country | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Metadata objects from montblanc.com. All fields typed and schema-versioned.
"SKU": "MB129618", "url": "https://www.montblanc.com/en-gb/wrist-watches_cod129618", "price": 2800.0, "currency": "GBP", "in_stock": true, "online_exclusive": false, "warranty_years": 2
| # | SKU | url | price | currency | in_stock | online_exclusive |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Montblanc scraper handles every layer of the platform from complex watch calibre metadata to dynamic boutique inventory mapping.
Extract movement types, power reserve, jewel counts, and complications for every timepiece.
Standardise case materials, dial colours, and strap types across the entire catalogue.
Capture nib sizes, barrel materials, and writing systems for Meisterstück and StarWalker lines.
Map local stock availability across global Montblanc boutiques for any given SKU.
Extract technical specifications for the Summit connected watch series.
Identify and track production numbers and availability for limited run items.
Capture price variations across US, UK, EU, and Asian market storefronts.
Extract uncompressed product image URLs for dials, case backs, and packaging.
Run daily or weekly syncs to monitor price adjustments and catalogue additions.
Brief in. Clean data out.
Provide target collections or regional URLs. We design the extraction schema together.
We configure Scrapy and Playwright crawlers with proxy rotation and session management.
Schema validation, null-rate checks, and material mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or Snowflake stage on agreed cadence.
Luxury brand sites rely on heavy front-end frameworks and geo-blocking. Here is how we maintain stable extraction.
Regional storefronts require precise IP targeting. We route requests through residential proxies matching the target market to capture accurate local pricing.
Montblanc uses heavy JavaScript for product configurations. We use Playwright to execute SPA logic and extract hydrated JSON states.
Watches and pens often share base SKUs with variant suffixes. We map parent-child relationships for nib sizes and strap options.
Luxury brands update frontend designs frequently. Our selector strategy relies on backend API interception and structured data fallback.
We query the undocumented store locator endpoints to map global inventory without scraping thousands of individual location pages.
Authorised dealers track MSRP deviations and parallel market pricing against official Montblanc catalogue prices.
Rival luxury groups monitor Montblanc pricing strategies, material usage, and complication offerings.
Retailers analyse boutique stock levels to predict production shortages for high-demand Meisterstück models.
Design teams study the distribution of case diameters, dial colours, and movement types across the collection.
Authentication platforms ingest official specifications to verify weights, dimensions, and calibre details of secondary market watches.
Multi-brand luxury platforms synchronise their listings with official Montblanc metadata and imagery.
"Montblanc digital infrastructure is built for visual impact, not data accessibility. Extracting clean calibre and material specs requires intercepting backend API payloads before the frontend obfuscates them."
Most teams fail at luxury scraping because they rely on DOM parsing. Montblanc pages are highly dynamic and visually driven. DataFlirt bypasses the DOM entirely where possible, intercepting the underlying GraphQL and REST payloads to deliver perfectly structured product metadata without the maintenance overhead of CSS selector updates.
Everything supported by our montblanc.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 interaction flows.
We maintain pools of residential ISP proxies across global regions to capture accurate localised pricing.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. State stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About montblanc.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Montblanc is generally permissible. DataFlirt targets only public, non-authenticated product and pricing data. We do not circumvent authentication walls.
We use residential proxies geolocated to your target market. This ensures we capture the exact MSRP and currency displayed to local consumers.
Yes. We extract full movement specifications including power reserve, jewel count, frequency, and complication lists directly from the product metadata.
We track stock status flags and production numbers where exposed by the Montblanc frontend or backend APIs.
For a catalogue of Montblanc size, daily or weekly runs are standard. Hourly runs can be configured for specific high-demand SKU monitoring.
Yes. We provide a sample run of up to 100 SKUs as part of the pre-engagement scoping process so you can validate schema fit.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a single catalogue dump or a continuous price-monitoring feed across global regions. We scope, build, and operate the pipeline. Tell us what you need.