We extract watch listings, pricing signals, reference numbers, movement specifications, and editorial archives from Hodinkee. 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 Shop Inventory objects from hodinkee.com. All fields typed and schema-versioned.
"product_id": "HOD-8921", "brand": "Rolex", "model": "Submariner Date", "reference_number": "16610", "price": 10500.0, "availability_status": "In Stock", "condition": "Excellent", "case_size_mm": 40.0, "case_material": "Stainless Steel"
| # | product_id | brand | model | reference_number | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pre-Owned Pricing objects from hodinkee.com. All fields typed and schema-versioned.
"listing_id": "CC-45921", "brand": "Omega", "model": "Speedmaster Professional", "reference_number": "311.30.42.30.01.005", "pre_owned_price": 4800.0, "condition_grade": "Very Good", "production_year": 2018, "warranty_included": true, "source_integration": "Crown & Caliber"
| # | listing_id | brand | model | reference_number | pre_owned_price | retail_price_est |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Watch Specifications objects from hodinkee.com. All fields typed and schema-versioned.
"reference_number": "SBGA211", "caliber": "Spring Drive 9R65", "power_reserve_hours": 72, "water_resistance_m": 100, "lug_width_mm": 20.0, "crystal_type": "Sapphire", "dial_colour": "Snowflake White", "frequency_vph": 28800
| # | reference_number | caliber | movement_origin | power_reserve_hours | water_resistance_m | lug_width_mm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Editorial Articles objects from hodinkee.com. All fields typed and schema-versioned.
"article_id": "84729", "title": "A Week On The Wrist: The Tudor Black Bay 58", "author": "James Stacey", "publish_date": "2018-07-12T14:00:00Z", "category": "Reviews", "tags": "['Tudor', 'Dive Watch', 'Black Bay']", "comment_count": 342, "reading_time_min": 12
| # | article_id | title | author | publish_date | category | tags |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Comments & Community objects from hodinkee.com. All fields typed and schema-versioned.
"comment_id": "c-928174", "article_id": "84729", "user_name": "WatchNerd88", "timestamp": "2018-07-12T15:22:11Z", "text_content": "The proportions on this are perfect, but I wish they offered it on a rubber strap.", "upvote_count": 45, "replies_count": 3, "is_moderated": false
| # | comment_id | article_id | user_name | timestamp | text_content | upvote_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Hodinkee scraper handles the structural complexity of a site that blends editorial content with high-end eCommerce, capturing specifications, market pricing, and community sentiment.
Monitor available stock, pricing, and condition reports across the Hodinkee Shop and pre-owned inventory.
Extract historical and active pricing data from Crown & Caliber integrations to build accurate valuation models.
Parse unstructured editorial text and structured shop tables to build a unified database of calibers, materials, and dimensions.
Clean and map complex watch reference numbers across brands to ensure exact model matching.
Extract the complete corpus of Hodinkee articles, including author metadata, publication dates, and embedded product links.
Capture direct URLs to high-resolution dial macros and movement shots for computer vision training sets.
Scrape the active Hodinkee comment sections to gauge enthusiast sentiment on new releases and brand moves.
Track the announcement and immediate sell-out times of Hodinkee limited edition collaborations.
Run one-off bulk exports or configure continuous pipelines at daily cadences with change-detection diffing.
Brief in. Clean data out.
Provide target brands, reference numbers, or editorial categories. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling.
Schema validation, null-rate checks, price-outlier detection, and sample records before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting structured data from a platform that merges Shopify infrastructure with custom editorial layouts requires specific engineering.
The Hodinkee Shop operates on heavily protected infrastructure designed to block automated checkout bots. We use residential ISP proxies with realistic TLS fingerprints to bypass these rate limits and extract pricing data reliably.
Shop inventory filters and infinite-scroll editorial feeds rely on client-side rendering. We run full Playwright browser sessions to trigger lazy-loading and hydrate state, capturing data that headless HTTP clients miss.
Hodinkee features multiple layout templates (Shop vs Pre-Owned vs Editorial). Our selector strategy uses conditional fallback chains to normalise data across these distinct structural domains into a single relational schema.
Watches are visual assets. We extract the highest resolution image URLs from `srcset` attributes, bypassing compressed thumbnails to deliver pristine dial and movement photography links.
For inventory tracking, we maintain a hash index of last-seen values per reference number. Subsequent runs only push diffs — such as price drops or sold-out status changes — reducing downstream processing load.
Dealers and secondary market platforms monitor pre-owned pricing trends to calibrate their own inventory valuation.
Insurers and fintech platforms ingest historical price curves and condition grades to build automated appraisal algorithms.
Horological researchers and aggregators archive reference material, brand histories, and technical specifications.
Luxury watch brands track comment sentiment and editorial coverage to measure the impact of new releases.
Alternative asset funds track the premium-over-retail percentages for specific reference numbers to identify investment-grade models.
Market makers monitor the availability of highly sought-after models across the pre-owned section to execute arbitrage strategies.
"Hodinkee is the definitive system of record for modern horology and watch commerce — but extracting structured reference data from its editorial-first layout requires specialized infrastructure."
Most teams underestimate the investment required: reliable Hodinkee scraping requires residential proxies, full JavaScript rendering for shop inventory, handling divergent editorial templates, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our hodinkee.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 hodinkee.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Hodinkee is generally permissible under applicable law. DataFlirt targets only public, non-authenticated inventory, pricing, and editorial data. We do not extract personal data or circumvent authentication walls.
Our pipelines are configured to handle both structures simultaneously. We map editorial tags and inline product links directly to the corresponding Shop inventory IDs, creating a unified relational dataset.
Yes. We extract pre-owned pricing, condition grades, and inventory availability from the integrated Crown & Caliber listings on the platform.
Pipelines can be configured to run daily or intra-day. For high-velocity models, we offer near real-time tracking of availability status and price adjustments.
We extract the direct CDN URLs for the highest resolution assets available in the DOM. We can also configure the pipeline to download, hash, and push these image files directly to your S3 bucket.
Yes. We provide a sample run of up to 500 watch listings or 1,000 articles as part of the pre-engagement scoping process to validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full export of the editorial archive or continuous price tracking across the pre-owned inventory — we scope, build, and operate the pipeline. Tell us what you need.
