We extract luxury watch references, calibre specifications, material details, and retail pricing from oris.ch. 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 Models objects from oris.ch. All fields typed and schema-versioned.
"reference": "01 400 7769 4154-07 8 22 09PEB", "collection": "Aquis", "model_name": "Aquis Date Calibre 400", "price": 3500.0, "currency": "CHF", "case_size_mm": 41.5, "dial_colour": "Black", "water_resistance_atm": 30
| # | reference | collection | model_name | price | currency | case_material |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Calibre Specifications objects from oris.ch. All fields typed and schema-versioned.
"calibre_ref": "Oris 400", "dimensions": "30.00 mm, 13 1/4 inches", "winding": "Automatic", "power_reserve_hrs": 120, "vibrations_vph": 28800, "jewels": 21, "anti_magnetic": true
| # | calibre_ref | base_calibre | dimensions | functions | winding | power_reserve_hrs |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Availability objects from oris.ch. All fields typed and schema-versioned.
"reference": "01 400 7769 4154-07 8 22 09PEB", "region": "CH", "currency": "CHF", "retail_price": 3500.0, "in_stock": true, "tax_included": true, "delivery_time": "3 to 5 working days"
| # | reference | region | currency | retail_price | tax_included | in_stock |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Strap Options objects from oris.ch. All fields typed and schema-versioned.
"strap_ref": "07 4 22 74FC", "material": "Rubber", "colour": "Black", "lug_width_mm": 22.0, "price": 250.0, "currency": "CHF", "in_stock": true
| # | strap_ref | material | colour | clasp_material | lug_width_mm | compatible_collections |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Boutiques objects from oris.ch. All fields typed and schema-versioned.
"store_id": "CH-001", "type": "Official Boutique", "name": "Oris Boutique Basel", "city": "Basel", "country": "Switzerland", "latitude": 47.5596, "longitude": 7.5886
| # | store_id | type | name | street_address | city | postal_code |
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Our Oris scraper navigates luxury brand web architecture, extracting precise technical specifications, calibre details, and regional pricing grids without manual intervention.
Extract every active reference across Aquis, ProPilot, Big Crown, and Divers Sixty-Five collections with complete metadata.
Map proprietary movements like the Calibre 400 series, capturing power reserve, jewels, frequency, and dimensions.
Capture retail pricing across CHF, EUR, USD, and GBP regions, detecting tax inclusions and regional variations.
Extract precise case sizes, lug widths, crystal types, and water resistance ratings for horological databases.
Link watch references to compatible metal bracelets, leather bands, and rubber straps, including clasp specifications.
Identify limited production runs, special box sets, and collaboration models with edition size metadata.
Extract official boutiques and authorised dealer locations with geographic coordinates and contact details.
Capture high-resolution image URLs for dials, casebacks, lume shots, and presentation boxes.
Run weekly pipelines to detect new model releases, price adjustments, and discontinued references.
Brief in. Clean data out.
Provide target collections, regional pricing requirements, or specific data points. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and interaction scripts for oris.ch.
Schema validation, null-rate checks, and technical specification verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Luxury watch websites prioritise visual aesthetics over data accessibility. Here is how we extract structured data from complex frontend implementations.
Oris uses dynamic frontend frameworks for watch configurators and 3D viewers. We use Playwright to execute JavaScript, interact with UI elements, and extract strap combinations that are not present in the static HTML.
Luxury brands frequently update their site layouts for new campaigns. Our selector strategy relies on structured data layers and multiple fallback chains to ensure pipeline stability during marketing updates.
Pricing and availability on oris.ch change based on the visitor location. We route requests through geo-specific residential proxies in Switzerland, the US, and the UK to capture accurate regional retail prices.
We maintain state across pipeline runs. When Oris updates retail prices or adds a new Calibre 400 reference, our diffing engine flags the exact changes, reducing downstream processing overhead.
Watch databases require pristine imagery. We extract the highest resolution image URLs from responsive picture elements, bypassing compressed thumbnails.
Retailers and competing brands monitor Oris retail pricing across different currencies to inform their own pricing strategies.
Watch encyclopaedias and enthusiast platforms ingest calibre specifications and reference metadata to maintain accurate archives.
Analysts compare official retail prices against secondary market platforms to calculate depreciation curves for specific references.
Authorised dealers analyse the full Oris catalogue to optimise their inventory mix between popular Aquis models and niche releases.
Real estate and retail analysts map Oris boutique locations to understand luxury retail density in specific cities.
Industry analysts track the adoption rate of in-house movements like the Calibre 400 across the brand portfolio.
"Oris.ch holds precise horological data for every reference they produce, but extracting calibre specs and regional pricing requires a structured pipeline."
Luxury watch websites prioritise visual aesthetics over data accessibility. Extracting precise specifications, variant pricing, and boutique coordinates requires JavaScript rendering and careful schema mapping. DataFlirt handles the extraction infrastructure so your team can focus on market analysis.
Everything supported by our oris.ch 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 orchestrates the crawl while Playwright handles JavaScript execution for dynamic watch configurators and pricing grids.
Residential proxies routed through specific countries ensure accurate regional pricing and availability data.
Pipelines run on Kubernetes with Airflow scheduling, ensuring reliable weekly updates for catalogue changes.
Data delivered to where your team already works — no new tooling required.
About oris.ch scraping, legality, and pipeline operations.
Ask us directly →Yes. We use geo-located residential proxies to simulate visitors from Switzerland, the US, the UK, and other regions, capturing accurate local currency pricing and tax information.
We extract all models currently listed on oris.ch, including archive sections if available. If a model is completely removed from the site, it will no longer be captured in new runs, but historical data remains in your database.
Our pipeline links specific strap and bracelet references to their compatible watch models, capturing material, colour, clasp type, and individual pricing.
Yes. We extract technical specifications for all movements, including power reserve, jewel count, vibrations per hour, and anti-magnetic properties.
For a luxury watch catalogue, a weekly or bi-weekly cadence is typically sufficient to capture new releases, discontinued models, and periodic price adjustments.
Yes. We scrape the store locator to extract official Oris boutiques and authorised service centres, providing addresses, contact details, and geographic coordinates.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off extraction of the current catalogue or continuous tracking of new releases and price adjustments. Tell us what you need.
