We extract product listings, pricing signals, size-level inventory, and technical specs from Keen. 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 keen.com. All fields typed and schema-versioned.
"sku": "1022363", "title": "Men's Targhee III Waterproof Mid", "category": "Hiking", "gender": "Men", "price": 165.0, "currency": "USD", "waterproof_tech": "KEEN.DRY", "rating": 4.6, "review_count": 3412
| # | sku | title | category | sub_category | gender | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Inventory & Sizes objects from keen.com. All fields typed and schema-versioned.
"sku": "1022363-BROWN-10.5-W", "parent_sku": "1022363", "colour": "Earth/Dark Cocoa", "size": "10.5", "width": "Wide", "in_stock": true, "stock_level": "High", "price": 165.0
| # | sku | parent_sku | colour | size | width | in_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Complete list of extractable fields for Pricing & Promos objects from keen.com. All fields typed and schema-versioned.
"sku": "1022363", "base_price": 165.0, "sale_price": 131.99, "discount_pct": 20, "clearance_flag": false, "promo_text": "20% Off Select Hiking", "currency": "USD", "scraped_at": "2026-05-12T10:15:00Z"
| # | sku | base_price | sale_price | discount_pct | clearance_flag | promo_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from keen.com. All fields typed and schema-versioned.
"review_id": "REV-849201", "sku": "1022363", "rating": 5, "title": "Best hiking boots I own", "author": "TrailWalker99", "date": "2026-04-10", "verified_buyer": true, "fit_rating": "Runs True to Size"
| # | review_id | sku | rating | title | body | author |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specs objects from keen.com. All fields typed and schema-versioned.
"sku": "1022363", "weight_oz": 17.4, "upper_material": "Waterproof leather and performance mesh", "lining": "Breathable mesh", "toe_protection": "KEEN.PROTECT", "safety_rating": "N/A", "care_instructions": "Gently brush with a soft bristle brush"
| # | sku | weight_oz | upper_material | lining | outsole | toe_protection |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our Keen scraper navigates dynamic size grids, colourway matrices, and promotional banners to deliver structured product and inventory data.
Title, category, materials, KEEN.DRY specifications, and every metadata field Keen surfaces — scraped at the SKU level.
Extract availability across all sizes and widths (Standard, Wide) for every colourway combination.
Capture base price, sale price, clearance indicators, and promotional text — timestamped per crawl.
Extract review text, star ratings, verified buyer flags, and aggregated fit ratings (e.g., Runs Small / True to Size).
Capture specific safety ratings (ASTM, EH), toe types (Steel, Carbon, Soft), and slip-resistant outsole data for KEEN Utility products.
Map parent products to child colourways, extracting specific image URLs and stock status for each variant.
Monitor out-of-stock statuses and backorder eligibility across the entire product catalogue.
Extract localised pricing and availability from Keen's US, UK, EU, and CA storefronts.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences.
Brief in. Clean data out.
Provide Keen category URLs, specific SKUs, or search terms. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for keen.com.
Schema validation, null-rate checks, and sample data reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
eCommerce sites employ dynamic rendering and bot protection. Here is how we stay resilient.
Keen's product pages rely on JavaScript to load specific size and width availability when a colour is selected. We run full Playwright browser sessions to interact with these UI elements and capture accurate stock data.
Retailers use bot mitigation to block automated traffic. Our crawlers use residential ISP proxies with realistic browser fingerprints to ensure uninterrupted data extraction.
eCommerce DOM structures change during sales and site updates. Our selector strategy uses fallback chains to ensure promotional banners do not break the extraction pipeline.
For inventory tracking, we maintain a hash index of last-seen values per SKU. Subsequent runs only push diffs, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes and coverage drops, responding before you notice.
Footwear brands monitor Keen's pricing strategy, discount depths, and promotional calendars to optimise their own pricing.
Retailers track Keen's direct-to-consumer pricing to ensure alignment with Minimum Advertised Price agreements.
Analysts track size-level stockout rates to identify popular colourways and size distributions for demand planning.
Firms analyse review volumes and fit ratings to gauge consumer sentiment around specific hiking or workwear lines.
Design teams extract technical specifications and material usage to benchmark against competing outdoor footwear.
Merchandisers monitor new product drops and category expansions to identify shifting trends in outdoor and utility footwear.
"Keen's product catalogue contains thousands of SKUs with complex size, width, and colour matrices — but none of it is queryable unless you build the pipeline."
Most teams underestimate the investment required: reliable Keen scraping requires residential proxies, full JavaScript rendering for dynamic inventory grids, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our keen.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 retry logic. Playwright handles JavaScript rendering and interaction flows for complex size grids.
We maintain pools of residential ISP proxies. Rotation happens per-request to prevent IP bans and assure high success rates.
Pipelines run on AWS infrastructure. Airflow handles scheduling, dependency management, and SLA alerting.
Data delivered to where your team already works — no new tooling required.
About keen.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from keen.com is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls.
We use Playwright to simulate browser interactions, selecting each colourway to trigger the JavaScript events that load specific size and width stock statuses.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per SKU for price and availability from the date your pipeline starts.
Yes. We extract all technical specifications, including safety ratings, toe types, and slip resistance data specific to the KEEN Utility line.
Pipelines can be configured to run daily or at custom intervals to capture stock updates and promotional changes accurately.
Absolutely. We provide a sample run of up to 500 SKUs as part of the pre-engagement scoping process so you can validate schema fit and data quality.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off product catalogue dump or a continuous inventory-monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.
