We extract watch listings, pricing signals, material specifications, movement details, and boutique coordinates from Rado. 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 rado.com. All fields typed and schema-versioned.
"sku": "R32105313", "reference_number": "01.763.6105.3.031", "collection": "Captain Cook", "name": "Captain Cook High-Tech Ceramic", "movement_type": "Automatic", "case_size": "43.0 mm", "water_resistance": "30 bar (300 m)", "dial_colour": "Green"
| # | sku | reference_number | collection | name | movement_type | case_size |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Availability objects from rado.com. All fields typed and schema-versioned.
"sku": "R32105313", "price": 3800.0, "currency": "USD", "in_stock": true, "online_exclusive": false, "limited_edition": false, "delivery_estimate": "3-5 business days"
| # | sku | reference_number | price | currency | in_stock | online_exclusive |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Boutique Locator objects from rado.com. All fields typed and schema-versioned.
"store_id": "B-1042", "type": "Official Boutique", "name": "Rado Boutique Zurich", "city": "Zurich", "country": "Switzerland", "latitude": 47.3769, "longitude": 8.5417, "phone": "+41 44 123 45 67"
| # | store_id | type | name | street_address | city | country |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Materials & Tech objects from rado.com. All fields typed and schema-versioned.
"sku": "R32105313", "case_material_detail": "High-Tech Ceramic, Stainless steel", "bezel_material": "High-Tech Ceramic", "crystal_type": "Sapphire crystal with anti-reflective coating", "weight_grams": 157, "thickness_mm": 14.6, "transparent_case_back": true
| # | sku | case_material_detail | bezel_material | crystal_type | bracelet_material_detail | weight_grams |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Movement Details objects from rado.com. All fields typed and schema-versioned.
"sku": "R32105313", "calibre": "R734", "power_reserve": "80 hours", "jewels": 25, "movement_type": "Automatic", "antimagnetic_nivachron": true, "skeletonised": true
| # | sku | calibre | power_reserve | jewels | movement_type | antimagnetic_nivachron |
|---|---|---|---|---|---|---|
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Our Rado scraper captures every technical specification: from High-Tech Ceramic case compositions to Nivachron hairspring details, alongside global pricing and inventory status.
Reference numbers, case dimensions, water resistance ratings, and dial colours extracted at the SKU level.
Capture local prices and currencies across different regional subdirectories of the Rado site.
Extract precise material details including Ceramos, High-Tech Ceramic, and sapphire crystal specifications.
Capture power reserve hours, jewel counts, and antimagnetic properties for every mechanical movement.
Extract store coordinates, contact details, and operating hours from the official boutique locator.
Track online stock status, delivery estimates, and limited edition availability per region.
Map individual watches to their parent collections like Captain Cook, True Square, and Centrix.
Extract high-resolution image URLs and 360-degree viewer asset links for visual catalogue building.
Run continuous pipelines that only output changed prices or new catalogue additions.
Brief in. Clean data out.
Provide target regions, collections, or specific reference numbers. We design the extraction schema together.
We configure Scrapy and Playwright crawlers to navigate category pages and extract nested specifications.
Schema validation, null-rate checks, and price formatting verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Watch brand sites rely heavily on visual rendering and nested specification accordions. Here is how we extract structured data from Rado.
Technical specifications on rado.com are often hidden inside JavaScript-driven accordions. We use Playwright to simulate user interaction, expanding these sections to capture the complete material and movement data.
Rado routes users to regional subdirectories based on IP. We use residential proxies mapped to specific target countries to ensure we capture accurate local pricing and inventory status.
Case sizes and water resistance ratings are often formatted inconsistently across older and newer models. Our pipeline parses these strings into normalised numerical values for database ingestion.
Instead of scraping map elements visually, we intercept the underlying JSON endpoints powering the boutique locator, yielding precise latitude and longitude coordinates without DOM parsing errors.
We maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, reducing compute cost and providing a clean changelog of price adjustments or specification updates.
Authorised dealers and secondary market platforms compare official retail prices against grey market valuations.
Rival watch groups track Rado pricing strategies, material innovations, and collection expansions.
Real estate analysts and retail strategists map official boutique locations to identify target luxury retail zones.
Luxury watch aggregators maintain accurate catalogues with up-to-date specifications and official imagery.
Analysts track online inventory availability to estimate production volumes and supply chain constraints.
Industry researchers quantify the adoption rate of High-Tech Ceramic and advanced alloys across the product line.
"Rado publishes precise technical specifications for every watch, but extracting these nested material and movement details requires a custom pipeline."
Most teams underestimate the complexity of scraping luxury watch sites. The data is buried in dynamic accordions, 3D viewer metadata, and region-specific pricing endpoints. DataFlirt handles this extraction so your team can focus on market analysis instead of infrastructure maintenance.
Everything supported by our rado.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 required to expose nested watch specifications.
We route requests through residential proxies matching the target region, ensuring accurate local pricing and bypassing basic bot detection.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management, with all state stored securely in managed PostgreSQL.
Data delivered to where your team already works — no new tooling required.
About rado.com scraping, legality, and pipeline operations.
Ask us directly →Yes. Rado uses regional subdirectories and geolocated routing. We use region-specific residential proxies to load the correct local pricing and currency for any target market.
Yes. We extract calibre numbers, movement types, power reserve durations, jewel counts, and specific technical features like Nivachron hairsprings from the detailed specification panels.
For inventory and pricing updates, pipelines can run daily or hourly. Full catalogue metadata refreshes are typically scheduled weekly or monthly depending on your requirements.
We extract the direct URLs to high-resolution product imagery and gallery assets. We do not host the images, but provide the links for your systems to download.
Models removed from the active catalogue will trigger a status change in our delivery if you use our change detection pipeline, allowing you to maintain an archive of historical models.
Yes. We query the boutique locator endpoints to extract accurate latitude, longitude, address details, and operating hours for all official Rado stores globally.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a daily pricing feed or a full catalogue extraction of technical specifications, we build and operate the pipeline.
