We extract watch specifications, material data, movement details, and pricing from Hublot. Delivered as clean JSON, CSV, or Parquet to S3, BigQuery, 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 hublot.com. All fields typed and schema-versioned.
"reference_number": "421.NX.1170.RX", "collection": "Big Bang", "model_name": "Unico Titanium", "case_material": "Satin-finished and Polished Titanium", "case_diameter": "44 mm", "water_resistance": "100m or 10 ATM", "dial_colour": "Matte Black Skeleton", "limited_edition": false
| # | reference_number | collection | model_name | case_material | case_diameter | water_resistance |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Movement & Calibre objects from hublot.com. All fields typed and schema-versioned.
"reference_number": "421.NX.1170.RX", "calibre_id": "HUB1280", "movement_type": "UNICO Manufacture Self-winding Chronograph", "power_reserve": "72 Hours", "frequency": "4 Hz (28,800 A/h)", "component_count": 354, "jewel_count": 43, "skeletonized": true
| # | reference_number | calibre_id | movement_type | power_reserve | frequency | component_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Availability objects from hublot.com. All fields typed and schema-versioned.
"reference_number": "421.NX.1170.RX", "price": 20900.0, "currency": "USD", "poa_flag": false, "online_exclusive": false, "boutique_availability": "['New York 5th Ave', 'Miami Bal Harbour']", "regional_market": "US", "scraped_at": "2026-05-12T09:14:00Z"
| # | reference_number | price | currency | poa_flag | online_exclusive | boutique_availability |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Straps objects from hublot.com. All fields typed and schema-versioned.
"reference_number": "421.NX.1170.RX", "strap_material": "Black Structured Lined Rubber", "strap_colour": "Black", "clasp_type": "Deployant Buckle Clasp", "clasp_material": "Titanium", "bezel_material": "Satin-finished and Polished Titanium with 6 H-shaped Titanium Screws", "case_back": "Sapphire Crystal", "diamond_set": false
| # | reference_number | strap_material | strap_colour | clasp_type | clasp_material | bezel_material |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Boutique Directory objects from hublot.com. All fields typed and schema-versioned.
"boutique_id": "B-US-NY-01", "name": "Hublot Boutique New York 5th Avenue", "address": "743 Fifth Avenue", "city": "New York", "country": "United States", "phone": "+1 212 308 0408", "latitude": 40.7624, "longitude": -73.9741
| # | boutique_id | name | address | city | country | phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hublot scraper handles heavy WebGL assets, dynamic pricing regions, and complex nested specifications — delivering clean horology data without the rendering overhead.
Extract every watch reference across Big Bang, Classic Fusion, Spirit of Big Bang, and MP collections with parent-child variant mapping.
Capture UNICO, MECA-10, and Tourbillon calibre specifications including power reserve, frequency, and component counts.
Parse proprietary material data including Magic Gold, Sapphire, King Gold, and high-tech Ceramic variations.
Extract MSRP across different geo-fenced markets (US, UK, EU, CH, JP) with Price on Application (POA) flags.
Map watch availability to specific global boutiques, including online-exclusive models.
Extract source URLs for front, back, and detail shots, bypassing the WebGL 3D viewer.
Monitor production counts and availability for limited production runs and special editions.
Extract One Click strap compatibility, material types, and deployant clasp specifications.
Run one-off bulk exports or configure continuous pipelines at weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide target collections, regions, or specific references. We design the extraction schema together.
We configure Scrapy crawlers, intercept Next.js data props, and handle geo-routed proxy rotation.
Schema validation, null-rate checks, and specification normalisation before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Hublot.com relies on intensive WebGL and JavaScript to render 3D watch models. We extract the underlying JSON state to bypass rendering overhead.
Rather than rendering the full DOM and 3D assets, our crawlers target the underlying JSON state injected into the page source. This guarantees 100% field coverage while reducing compute overhead and latency.
Hublot enforces strict geo-routing for pricing data. We use residential ISP proxies located in target markets (Switzerland, US, UK, Japan) to extract accurate local MSRP and currency data.
We bypass the interactive 3D viewer entirely, extracting direct CDN links for all high-resolution imagery and video assets associated with a reference.
Luxury brand sites deploy aggressive rate limiting. We use low-concurrency traversal with randomised delays and IP rotation to maintain stealth and prevent blocklisting.
For ongoing tracking, we maintain a hash index of last-seen values per reference. Subsequent runs only push diffs for price updates or availability changes.
Secondary market dealers track official MSRP across different currencies to identify arbitrage opportunities.
Analysts monitor material trends (e.g., Sapphire vs Ceramic) and price positioning across Hublot's catalogue.
Rival watchmakers track Hublot's complication releases, power reserve benchmarks, and pricing tiers.
Insurers and appraisers use live retail pricing data to update replacement cost models for high-end timepieces.
Verification services ingest exact calibre specifications, jewel counts, and material data to spot counterfeits.
Distributors track boutique exclusivity and limited edition allocations to understand Hublot's direct-to-consumer strategy.
"Hublot's digital catalogue is buried under megabytes of WebGL and JavaScript — extracting the raw horological data requires intercepting the state before it renders."
Most teams attempt to scrape Hublot by rendering the full DOM, wasting compute on 3D watch models. DataFlirt intercepts the underlying API responses and structured state data, delivering precise calibre specs, material compositions, and regional pricing without the rendering overhead.
Everything supported by our hublot.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.
Our Scrapy spiders bypass HTML parsing entirely, targeting the JSON state embedded in the page source. This guarantees perfect extraction of nested specifications.
We maintain pools of residential ISP proxies in Switzerland, the US, UK, and Japan to capture accurate regional pricing and boutique availability.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles scheduling, dependency management, and SLA alerting. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About hublot.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Hublot.com is generally permissible. DataFlirt targets only public, non-authenticated watch specifications, public pricing, and boutique data. We do not extract personal data or circumvent authentication walls.
We use residential ISP proxies routed through specific countries (e.g., Switzerland, US, UK) to ensure the target site serves the correct local MSRP and currency.
We extract the high-resolution static imagery (JPEGs/PNGs) and video URLs. We do not extract or reconstruct the WebGL 3D models, as this falls outside structured data delivery.
Full catalogue refreshes typically run weekly or monthly, depending on client requirements. Price monitoring can be configured at a daily cadence for specific references.
Yes. We capture the limited edition flag, production count, and current availability status listed on the public product page.
Our minimum engagement starts with a full extraction of the current active Hublot catalogue across one specified region, delivered as a one-off dataset or recurring pipeline.
We extract all references currently indexed and accessible on Hublot.com. Discontinued models removed from the public sitemap cannot be scraped retroactively.
No. We do not scrape gated portals, e-Warranty data, or authenticated user accounts. All extracted data is strictly public-facing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across global markets — we scope, build, and operate the pipeline. Tell us what you need.
