We extract the complete Audemars Piguet catalogue: Royal Oak references, calibre specifications, case materials, and boutique inventory signals. 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 audemarspiguet.com. All fields typed and schema-versioned.
"reference_number": "15500ST.OO.1220ST.01", "collection": "Royal Oak", "case_material": "Steel", "case_size_mm": 41, "dial_colour": "Blue", "price": 25300.0, "currency": "CHF"
| # | reference_number | collection | family | case_material | case_size_mm | case_thickness_mm |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Calibre Specs objects from audemarspiguet.com. All fields typed and schema-versioned.
"calibre_reference": "4302", "movement_type": "Selfwinding", "power_reserve_hours": 70, "frequency_hz": 4.0, "parts_count": 257, "jewels": 32
| # | calibre_reference | movement_type | functions | power_reserve_hours | frequency_hz | parts_count |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Boutique Network objects from audemarspiguet.com. All fields typed and schema-versioned.
"boutique_id": "AP-GEN-01", "name": "Audemars Piguet Boutique Geneva", "city": "Geneva", "country": "Switzerland", "phone": "+41 22 319 09 39", "services_offered": "['Sales', 'Service']"
| # | boutique_id | name | city | country | address | phone |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing Data objects from audemarspiguet.com. All fields typed and schema-versioned.
"reference_number": "26240ST.OO.1320ST.01", "retail_price": 35000.0, "currency": "CHF", "price_on_request": false, "boutique_exclusive": true, "limited_edition": false
| # | reference_number | retail_price | currency | price_on_request | boutique_exclusive | limited_edition |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Media Assets objects from audemarspiguet.com. All fields typed and schema-versioned.
"reference_number": "15500ST.OO.1220ST.01", "three_sixty_view_available": true, "hero_image_url": "https://media.audemarspiguet.com/images/...", "gallery_urls": "['img1.jpg', 'img2.jpg']", "technical_sheet_pdf": "https://media.audemarspiguet.com/pdf/...", "lifestyle_images": "['life1.jpg']"
| # | reference_number | hero_image_url | gallery_urls | video_urls | three_sixty_view_available | technical_sheet_pdf |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Audemars Piguet scraper handles every layer of the platform: model catalogues, calibre specifications, regional pricing, and boutique networks with JavaScript rendering built in.
Extract data across Royal Oak, Royal Oak Offshore, Concept, and Code 11.59 collections down to the reference number.
Capture power reserve, jewels, parts count, frequency, and dimensions for every movement.
Extract case materials, dimensions, finishes, dial colours, and bracelet configurations.
Monitor stock indicators and boutique exclusivity flags per region.
Track CHF, USD, EUR, and GBP pricing by routing requests through regional proxies.
Capture high-resolution images, technical PDFs, and 360-view asset URLs.
Track historical model data for references that move to the heritage catalogue.
Execute full Playwright sessions to render dynamic 3D viewers and lazy-loaded specs.
Run weekly or monthly pipelines to capture catalogue updates and price adjustments.
Brief in. Clean data out.
Provide target collections, regions, or reference numbers. We design the extraction schema together.
We configure Playwright crawlers, proxy rotation, and session management for audemarspiguet.com.
Schema validation, null-rate checks, and price anomaly detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Luxury watchmakers invest heavily in presentation layers and bot mitigation. Here is how we extract clean data from complex frontends.
Luxury brands use edge protection to block automated traffic. Our crawlers use residential ISP proxies with realistic browser fingerprints and full cookie session management.
Audemars Piguet product pages feature heavy 3D rendering and lazy-loaded specifications. We run full Playwright browser sessions to trigger hydration and capture data that headless HTTP clients miss entirely.
Pricing and availability change based on the visitor location. We route requests through specific country proxies to build a global pricing matrix.
We extract high-resolution image URLs and technical PDFs, with optional mirroring to your own S3 buckets to prevent hotlinking issues.
We maintain a hash index of last-seen values per reference. Subsequent runs only push diffs, providing a clean changelog of price increases or discontinued models.
Secondary market dealers compare official retail pricing against secondary market valuations to identify arbitrage margins.
Analysts track material trends, sizing preferences, and complication frequency across luxury watch catalogues.
Rival watchmakers monitor pricing strategies and technical specifications across the Audemars Piguet product matrix.
Insurers build reference databases to track retail replacement values for high-net-worth policyholders.
Retail analysts monitor boutique network expansion and regional exclusivity flags to model distribution strategy.
Verification services use technical specifications and calibre data to validate secondary market timepieces.
"Audemars Piguet's digital catalogue is an exercise in obfuscation. Extracting structured calibre data and regional pricing requires a precision pipeline."
Luxury watchmakers deliberately complicate data extraction with heavy WebGL rendering, unlisted prices, and fragmented regional subdirectories. DataFlirt cuts through the presentation layer, executing full JavaScript sessions to extract raw, structured reference data. Your analysts get clean Parquet files while we handle the infrastructure.
Everything supported by our audemarspiguet.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, cookie sessions, and WebGL interaction flows.
Dedicated workers handle high-resolution image extraction, PDF detection, and optional S3 mirroring to preserve media assets.
Pipelines run on AWS Lambda and ECS. 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 audemarspiguet.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from audemarspiguet.com is generally permissible. DataFlirt targets only public, non-authenticated catalogue, pricing, and boutique data. We do not extract personal data or circumvent authentication walls.
We route requests through residential ISP proxies located in the target countries. This allows us to extract precise local pricing in CHF, USD, EUR, or GBP as displayed to local consumers.
Yes, provided the reference pages are still accessible via direct URL or archive subdirectories. We can also track references as they move from the active catalogue to the heritage collection.
We extract the direct URLs for all gallery images, 360-degree assets, and technical PDFs. We can optionally mirror these assets to your S3 bucket as part of the delivery pipeline.
Unlike fast-moving consumer goods, luxury watch catalogues change slowly. We recommend weekly or monthly pipeline runs to capture new releases, price adjustments, and boutique network changes.
High-complication pieces often hide pricing. Our schema includes a specific boolean flag for 'price_on_request' and outputs a null value for the retail price field to ensure clean downstream analytics.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across regions, we scope, build, and operate the pipeline. Tell us what you need.