We extract watch specifications, movement details, pricing, and inventory status from Longislandwatch.com. 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 longislandwatch.com. All fields typed and schema-versioned.
"sku": "ISL-01", "title": "Islander Automatic Dive Watch", "brand": "Islander", "price": 299.0, "stock_status": "In Stock", "product_url": "https://longislandwatch.com/islander-automatic-dive-watch-isl-01/"
| # | sku | title | brand | price | stock_status | categories |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Technical Specifications objects from longislandwatch.com. All fields typed and schema-versioned.
"sku": "ISL-01", "movement_type": "Automatic", "case_diameter": "43mm", "lug_to_lug": "46mm", "crystal": "Sapphire", "water_resistance": "200 Meters"
| # | sku | movement_type | caliber | power_reserve | case_material | case_diameter |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Inventory objects from longislandwatch.com. All fields typed and schema-versioned.
"sku": "ISL-01", "base_price": 329.0, "sale_price": 299.0, "discount_pct": 9, "in_stock": true, "stock_quantity": 42
| # | sku | base_price | sale_price | discount_pct | in_stock | stock_quantity |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews & Ratings objects from longislandwatch.com. All fields typed and schema-versioned.
"review_id": "REV-84920", "sku": "ISL-01", "reviewer_name": "John D.", "star_rating": 5, "review_title": "Excellent value", "review_date": "2023-11-14"
| # | review_id | sku | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Search Results objects from longislandwatch.com. All fields typed and schema-versioned.
"keyword": "dive watch", "position": 1, "sku": "ISL-01", "title": "Islander Automatic Dive Watch", "price": 299.0, "scraped_at": "2023-11-15T10:00:00Z"
| # | keyword | position | sku | title | brand | price |
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Our scraper extracts deep horological specifications, dynamic inventory status, and pricing data across the entire catalogue, circumventing rate limits with residential proxy rotation.
Extract case size, lug-to-lug, movement caliber, crystal type, and water resistance directly from product description tables.
Monitor in-stock status and out-of-stock variations to track inventory movement across popular models.
Capture base MSRP versus Island Watch sale price, discount percentages, and historical price changes.
Map watches to their respective brands including Seiko, Orient, Islander, Laco, and Marathon.
Extract verified buyer reviews, star ratings, and review dates to analyse product sentiment over time.
Capture embedded YouTube links from 'Watch and Learn' segments featured on product pages.
Map SKUs for straps, bracelets, and mod parts to their compatible watch models based on lug width.
Run extractions daily or hourly to generate rapid stock alerts for highly anticipated releases.
Optimise downstream processing by only emitting records when price or stock status changes.
Brief in. Clean data out.
Provide target brands, categories, or search terms. We design the extraction schema together.
We configure Scrapy crawlers, proxy rotation, and session management for longislandwatch.com.
Schema validation, null-rate checks, and normalisation of specification tables before launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage.
Retail sites employ basic bot protection and rate limiting. We manage the infrastructure so you get clean data without IP bans.
eCommerce platforms block aggressive datacenter IPs. Our crawlers use residential proxies with realistic request timing to avoid Cloudflare and platform-level rate limits.
Product variations often load pricing and stock status dynamically via JavaScript. We run Playwright to execute page scripts and capture accurate variant data.
Technical specifications are often presented in inconsistent HTML formats. Our pipeline normalises these tables into strict JSON fields for case diameter, lug-to-lug, and movement type.
Highly anticipated Islander models sell out quickly. We configure high-frequency polling on specific SKUs to capture exact restock and sell-out timestamps.
Retail sites often have legacy product pages with different HTML structures. We use multiple fallback chains per field to ensure data extraction succeeds across the entire catalogue.
Grey market and authorised dealers monitor pricing against Long Island Watch to optimise their own margins.
Track out-of-stock items and restock frequencies for popular Seiko and Islander models to inform purchasing decisions.
Analyse trend shifts in case sizes, movement preferences, and colourways across the microbrand sector.
Aggregate buyer feedback on specific movement calibers or case materials to guide product development.
Map SKUs to compatible aftermarket straps, crystals, and bezels based on extracted lug width and case dimensions.
Monitor catalogue expansion and brand additions within the independent watch retail space.
"Long Island Watch provides some of the most detailed technical specifications in the watch retail space, but accessing that data programmatically requires dedicated pipeline infrastructure."
Extracting horological data requires parsing inconsistent HTML tables, managing rate limits, and monitoring fast-moving inventory. DataFlirt handles the proxy rotation, schema mapping, and scheduling, delivering normalised specifications directly to your data warehouse.
Everything supported by our longislandwatch.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.
Handles crawl orchestration and JavaScript rendering for dynamic variant pricing.
Prevents rate limiting from eCommerce hosting platforms using rotating US IP addresses.
Pipelines run on AWS infrastructure with Apache Airflow managing scheduling and dependencies.
Data delivered to where your team already works — no new tooling required.
About longislandwatch.com scraping, legality, and pipeline operations.
Ask us directly →Scraping public product specifications and pricing is generally permissible under applicable law. DataFlirt targets only public, non-authenticated horological data. We do not extract personal data or circumvent authentication walls.
We use residential proxies and controlled concurrency to avoid triggering platform-level bot protection or IP bans.
Yes, we parse the technical tables for lug-to-lug, movement type, crystal, water resistance, and case diameter.
We can configure pipelines to run hourly for high-demand models or daily for full catalogue refreshes.
Yes, we capture the full text, star rating, review date, and verified buyer status for each product.
Yes, our change detection system emits records when base or sale prices shift, providing a clean changelog over time.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue export or continuous inventory monitoring, we scope, build, and operate the pipeline. Tell us what you need.
