We extract footwear listings, pricing signals, size depth, colour variants, and material specifications from Cole Haan. 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 Product Listings objects from colehaan.com. All fields typed and schema-versioned.
"product_id": "CH-10294", "style_code": "C34005", "name": "Originalgrand Wingtip Oxford", "collection": "Originalgrand", "gender": "Men", "base_price": 160.0, "material": "Leather", "url": "https://www.colehaan.com/originalgrand-wingtip-oxford/C34005.html"
| # | product_id | style_code | name | collection | gender | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Inventory objects from colehaan.com. All fields typed and schema-versioned.
"sku": "C34005-M-10", "style_code": "C34005", "list_price": 160.0, "sale_price": 119.95, "discount_pct": 25, "currency": "USD", "in_stock": true, "stock_status": "Low Stock"
| # | sku | style_code | list_price | sale_price | discount_pct | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Product Variants objects from colehaan.com. All fields typed and schema-versioned.
"parent_style_code": "C34005", "variant_sku": "C34005-W-9.5", "colour_name": "British Tan", "size": "9.5", "width": "Wide", "availability": true, "price_modifier": 0.0
| # | parent_style_code | variant_sku | colour_name | colour_hex | size | width |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from colehaan.com. All fields typed and schema-versioned.
"review_id": "REV-89412", "product_id": "CH-10294", "rating": 5, "title": "Classic and comfortable", "body": "These oxfords feel like sneakers. Great for the office.", "verified_buyer": true, "fit_feedback": "True to size", "date": "2023-11-14"
| # | review_id | product_id | rating | title | body | author |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Category & Hierarchy objects from colehaan.com. All fields typed and schema-versioned.
"category_id": "mens-shoes-oxfords", "breadcrumbs": "['Men', 'Shoes', 'Oxfords']", "department": "Men", "category": "Shoes", "sub_category": "Oxfords", "product_count": 142, "scraped_at": "2023-12-01T08:15:22Z"
| # | category_id | breadcrumbs | department | category | sub_category | product_count |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Cole Haan scraper handles dynamic inventory rendering, size-width matrix extraction, and promotional pricing logic with anti-bot circumvention built in.
Extract product names, style codes, descriptions, and collection tags across all men's and women's footwear.
Capture the full grid of available sizes and widths (Medium, Wide) for every style code.
Track MSRP, sale prices, markdown percentages, and promotional eligibility at the variant level.
Parse unstructured descriptions to extract upper materials, sole types, and Zerogrand cushioning details.
Map parent style codes to multiple colourways, extracting specific variant imagery and naming conventions.
Collect star ratings, written feedback, and aggregated fit metrics (e.g., runs large, true to size).
Monitor inventory status flags to detect stockouts, low stock warnings, and restocks.
Traverse category trees to map product placement within specific departments and sale sections.
Extract URLs for main product photos, alternate angles, and lifestyle shots for visual analysis.
Configure pipelines for daily catalogue sweeps or hourly pricing diffs to track flash sales.
Brief in. Clean data out.
Provide target categories, style codes, or full site requirements. We design the extraction schema together.
We configure Scrapy and Playwright crawlers, proxy rotation, and session management for colehaan.com.
Schema validation, null-rate checks, and variant mapping verification before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Cole Haan uses edge protection to block automated traffic. We handle the infrastructure so you receive clean data.
Retail sites block data center IPs. Our crawlers use US-based residential ISP proxies with realistic browser fingerprints to maintain access.
Size and width availability are rendered via JavaScript based on user selection. We run headless browsers to capture the entire inventory matrix.
We parse the underlying application state to map every SKU variant to its parent style code, ensuring accurate pricing and stock data.
We maintain a state index of last-seen values. Subsequent runs only push diffs, alerting you immediately to markdowns or stockouts.
Pipelines alert automatically on schema drift or missing fields, ensuring your downstream models always receive structured, complete records.
Footwear brands track markdown cadences and promotional events to optimise their own pricing strategies.
Retail analysts evaluate size and colour depth across collections to identify gaps in the market.
Merchandising teams track new arrivals and sell-out velocities to predict seasonal footwear trends.
Monitor retail partner pricing against the official direct-to-consumer site to enforce minimum advertised price policies.
Machine learning teams use structured footwear taxonomy and high-resolution imagery to train computer vision models.
Product teams analyze review sentiment on fit, comfort, and durability to inform future shoe designs.
"Understanding footwear pricing requires tracking the entire size and width matrix - a single shoe can have 40 distinct SKUs."
Extracting data from premium retail sites involves rendering complex JavaScript state for variant selection. DataFlirt handles the proxy rotation, session management, and DOM parsing required to build a normalised footwear catalogue, allowing your team to focus on assortment analysis.
Everything supported by our colehaan.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 for dynamic size and width selectors.
We maintain pools of residential ISP proxies. Rotation happens per request to bypass retail anti-bot systems.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About colehaan.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible. DataFlirt extracts only public catalogue, pricing, and review data. We do not bypass authentication walls to extract personal data.
We use residential ISP proxies, full Playwright browser sessions, and request timing modelled on human behaviour to bypass edge protection layers.
Yes. We iterate through the underlying application state to capture availability and pricing for every combination of size and width.
Pipelines can be configured for daily catalogue refreshes or higher-frequency runs targeting specific sale categories to track markdowns.
We capture site-wide promotional banners and product-level discount eligibility flags visible on the product detail page.
We start with defined category extractions or full catalogue sweeps delivered weekly. Contact us for a scoped quote based on volume.
Yes. We provide a sample run of up to 500 SKUs to validate schema fit and data quality before signing a contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Need a one-off catalogue dump or continuous price monitoring across footwear categories? We scope, build, and operate the pipeline. Tell us your requirements.
