We extract brand catalogues, pricing signals, technical specifications, and inventory status from Ethos Watches. 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 Listings objects from ethoswatches.com. All fields typed and schema-versioned.
"sku": "EWT-84921", "reference_number": "O13120292002001", "brand": "Omega", "collection": "Constellation", "price_mrp": 645000.0, "is_price_on_request": false, "gender": "Men", "availability_status": "In Stock"
| # | sku | reference_number | brand | collection | model_name | price_mrp |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Technical Specifications objects from ethoswatches.com. All fields typed and schema-versioned.
"sku": "EWT-84921", "movement_type": "Automatic", "calibre": "Omega 8700", "power_reserve": "50 Hours", "case_material": "Steel", "case_size_mm": 29.0, "dial_colour": "Silver", "water_resistance_atm": 5
| # | sku | movement_type | calibre | power_reserve | case_material | case_size_mm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pre-owned Inventory objects from ethoswatches.com. All fields typed and schema-versioned.
"sku": "ESTZ-4921", "original_reference": "116610LN", "condition_rating": "Excellent", "box_included": true, "papers_included": true, "warranty_months": 24, "price": 1150000.0, "location": "Delhi"
| # | sku | original_reference | condition_rating | year_of_manufacture | box_included | papers_included |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Boutique Availability objects from ethoswatches.com. All fields typed and schema-versioned.
"sku": "EWT-84921", "boutique_name": "Ethos Summit Select", "city": "Bengaluru", "state": "Karnataka", "stock_status": "Available", "contact_number": "+91-80-41130611", "last_updated": "2026-05-12T09:14:00Z"
| # | sku | boutique_name | city | state | contact_number | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from ethoswatches.com. All fields typed and schema-versioned.
"keyword": "chronograph", "position": 1, "sku": "EWT-93812", "title": "Breitling Navitimer B01", "brand": "Breitling", "price": 780000.0, "url": "https://www.ethoswatches.com/product/breitling-navitimer.html", "scraped_at": "2026-05-12T09:14:33Z"
| # | keyword | position | sku | title | brand | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Ethos Watches scraper navigates dynamic inventory systems, captures deep technical specifications, and tracks luxury pricing models including gated Price on Request items.
Extract every active listing across 80+ luxury brands. Capture reference numbers, collections, and base metadata.
Parse detailed horological metrics including movement type, calibre, vibration frequency, case dimensions, and crystal composition.
Track MRP fluctuations and identify items shifted to Price on Request status. Record historical pricing data per reference number.
Map SKU availability across physical Ethos boutiques in India. Track stock status by city and specific store location.
Extract listings from the Second Time Zone section. Capture condition ratings, year of manufacture, box and paper availability, and secondary market pricing.
Capture URLs for high-resolution product imagery, dial close-ups, and caseback shots for every listed reference.
Scrape category pages by gender, complication, or style. Track sort-order positioning for specific brands.
Run daily pipelines to detect new model additions, discontinued references, and price adjustments without processing the entire catalogue.
Utilise residential proxies and humanised request patterns to bypass rate limits and WAF protections on the Ethos infrastructure.
Brief in. Clean data out.
Provide target brands, collections, or specific watch complications. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for ethoswatches.com.
Schema validation, null-rate checks, and specification normalisation before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Ethos Watches employs dynamic rendering for inventory and pricing. Here is how we maintain data integrity.
Ethos frequently loads pricing and availability data via asynchronous JavaScript requests. We utilise Playwright to render the full DOM, ensuring we capture the final hydrated price rather than placeholder elements.
Watch specifications are often presented in inconsistent HTML tables. Our extraction logic maps raw text to a strict schema, normalising case sizes to millimetres and water resistance to ATM standard values.
Brand catalogues span dozens of paginated views. We implement deterministic traversal algorithms to ensure zero missed references, even when backend inventory updates shift item positions during a crawl.
We route requests through Indian residential IPs to mirror legitimate domestic traffic, preventing blockages and ensuring the pipeline completes within the target window.
We hash product records and only export deltas on subsequent runs. You receive exact timestamps for when a reference goes out of stock or receives a price revision.
Secondary market dealers track authorised retail prices and availability to optimise their own pricing strategies.
Rival luxury retailers monitor brand assortments, new collection launches, and stock depth across regions.
Analysts track which complications, dial colours, and case sizes are expanding within the catalogue to predict consumer demand.
Underwriters require accurate, up-to-date retail replacement values for high-net-worth individual policies.
Algorithmic pricing engines use original MRP and specification data to calculate depreciation curves for the secondary market.
Swiss watchmaking groups audit authorised dealers to ensure correct representation of reference numbers and pricing guidelines.
"Ethos holds the most comprehensive structured dataset of luxury timepieces in India, detailing everything from escapement frequencies to exact case dimensions."
Extracting luxury watch data requires precision. Ethos uses dynamic rendering for pricing and availability, often hiding metrics behind Price on Request forms. DataFlirt handles the JavaScript execution and proxy rotation required to maintain a pristine, daily-updated catalogue of high-end horology without missing a single reference number.
Everything supported by our ethoswatches.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 orchestrates the crawl while Playwright handles JavaScript execution for dynamic pricing elements.
We utilise Indian residential IPs to mirror domestic luxury consumer traffic, bypassing WAF rules.
Pipelines execute on AWS infrastructure, managed by Airflow for strict daily delivery schedules.
Data delivered to where your team already works — no new tooling required.
About ethoswatches.com scraping, legality, and pipeline operations.
Ask us directly →No. DataFlirt extracts publicly visible data. We detect and flag items marked as 'Price on Request', but we do not automate the submission of lead generation forms to acquire hidden pricing.
We typically run Ethos pipelines on a daily or weekly cadence. The catalogue size permits full daily refreshes within a standard 2-hour extraction window.
Yes. We map raw string data into structured fields. For example, case sizes are extracted as numeric millimetre values, and water resistance is standardised to ATM ratings where possible.
Yes. If the website surfaces store-level availability for a given reference, we capture that data and link it to the specific SKU.
Yes. We support extraction of the Second Time Zone inventory, capturing condition metrics, inclusion of original box and papers, and secondary market pricing.
Our change detection system identifies when a previously scraped URL returns a 404 or redirects to a category page, flagging the SKU as discontinued in your delta export.
20-minute scoping call. Pilot dataset within the week. Production within two. Need a complete dump of technical specifications or a daily feed of retail pricing? We build and operate the infrastructure. Tell us your requirements.
