We extract product listings, pricing signals, ingredient lists, brand catalogues, and stock availability from Kicks. Delivered as clean JSON, CSV, or Parquet to S3 or BigQuery.
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 kicks.se. All fields typed and schema-versioned.
"product_id": "10293847", "name": "Double Wear Stay-in-Place Makeup", "brand": "Estee Lauder", "category": "Makeup", "price": 545.0, "currency": "SEK", "size_volume": "30 ml", "color_shade": "2N1 Desert Beige"
| # | product_id | name | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Offers objects from kicks.se. All fields typed and schema-versioned.
"product_id": "10293847", "base_price": 545.0, "current_price": 436.0, "discount_pct": 20, "campaign_name": "Brand Week 20%", "kicks_club_offer": true, "timestamp": "2026-05-12T09:14:00Z"
| # | product_id | base_price | current_price | discount_pct | discount_abs | campaign_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Stock & Availability objects from kicks.se. All fields typed and schema-versioned.
"product_id": "10293847", "in_stock_online": true, "stock_level_indicator": "HIGH", "store_availability_count": 42, "delivery_time_est": "1-3 days", "discontinued_flag": false, "timestamp": "2026-05-12T09:14:00Z"
| # | product_id | in_stock_online | stock_level_indicator | store_availability_count | delivery_time_est | restock_date |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from kicks.se. All fields typed and schema-versioned.
"review_id": "REV-98234", "product_id": "10293847", "rating": 5, "reviewer_name": "Anna S.", "review_title": "Bästa foundationen", "verified_buyer": true, "skin_type": "Combination", "date_posted": "2026-04-18"
| # | review_id | product_id | rating | reviewer_name | review_title | review_text |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Brand & Category objects from kicks.se. All fields typed and schema-versioned.
"brand_name": "Estee Lauder", "brand_url": "https://www.kicks.se/estee-lauder", "category_path": "Makeup > Ansikte > Foundation", "product_count": 142, "active_campaigns": "['Brand Week 20%']", "new_arrivals_count": 3
| # | brand_name | brand_url | category_path | sub_category | product_count | active_campaigns |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Kicks.se scraper handles every layer of the platform: product catalogues, dynamic pricing, stock levels, ingredient lists, and brand intelligence - with JavaScript rendering and Nordic proxy rotation built in.
Title, brand, description, ingredients, size variations, and every metadata field Kicks surfaces - scraped at SKU level.
Capture base price, campaign price, Kicks Club public offers, and discount percentages - timestamped per crawl.
Track online and in-store stock signals to monitor supply chain velocity and out-of-stock rates.
Extract complete INCI lists, active ingredients, and vegan or cruelty-free flags directly from product descriptions.
Full review text, star ratings, helpful vote counts, verified buyer flags, and user skin profiles.
Monitor 3-for-2 offers, seasonal sales, and brand weeks across the entire platform.
Map the full taxonomy and breadcrumb structure to understand product placement and categorization.
Link makeup shades, perfume volumes, and color codes back to their parent product for accurate aggregation.
Run daily or hourly pipelines with change-detection diffing to monitor fast-moving inventory.
Brief in. Clean data out.
Provide target brands, categories, or search terms. We design the extraction schema together.
We configure Scrapy crawlers, Nordic proxy rotation, session management, and React hydration for kicks.se.
Schema validation, null-rate checks, price-outlier detection, and sample data review before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket or BigQuery dataset on agreed cadence.
Nordic e-commerce platforms deploy strict rate limiting and dynamic frontends. We manage the proxy rotation and frontend hydration so you don't have to.
Kicks.se limits traffic from data center IPs and non-Nordic regions. Our crawlers use residential ISP proxies located in Sweden with realistic browser fingerprints to maintain access.
Product grids, dynamic pricing, and stock indicators on Kicks.se rely heavily on client-side rendering. We run full Playwright browser sessions to capture data that headless HTTP clients miss entirely.
E-commerce layouts change frequently during promotional periods. Our selector strategy uses fallback chains across CSS, XPath, and JSON-LD structured data to ensure pipeline stability.
For the full Kicks catalogue, we maintain a hash index of last-seen values. Subsequent runs only push diffs for changed prices or stock statuses, reducing downstream processing load.
Every run emits structured logs. We alert on null-rate spikes in critical fields like price or ingredients, catching layout changes before they corrupt your warehouse.
Track Kicks.se pricing against Lyko, Sephora, and Ahlens to maintain margin and dynamic repricing strategies.
Monitor brand presence, shelf share, and out-of-stock rates across the Nordic beauty market.
Analyse INCI lists and product descriptions to identify rising skincare trends and formulate new products.
Map Kicks Club campaigns and brand weeks to optimise your own promotional calendar.
Correlate out-of-stock signals with category demand to optimise procurement models.
Identify unauthorised product diversions by tracking brand availability and pricing anomalies.
"Kicks.se represents the definitive catalogue for Nordic beauty retail, but extracting structured ingredient and pricing data requires bypassing aggressive rate limits."
Building a reliable pipeline for Kicks.se requires managing Swedish residential proxies, rendering dynamic single-page application content, and tracking daily price fluctuations across tens of thousands of SKUs. DataFlirt handles the infrastructure so your data team can focus on market analysis.
Everything supported by our kicks.se 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 across Nordic regions. 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 kicks.se scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Kicks.se is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data, circumvent authentication walls, or violate GDPR.
We use Swedish residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and strict concurrency limits. We monitor for blocking rate spikes in real time and trigger pool rotation automatically.
Yes. We parse the INCI lists directly from the product description DOM elements, separating active ingredients where formatted distinctly by the brand.
Yes. Every pipeline run captures the current online availability flag, stock level indicators, and estimated delivery times.
Full catalogue refreshes at daily cadence complete within a few hours. For specific high-priority SKUs, we can configure sub-daily runs to monitor flash sales.
Publicly visible campaign prices and advertised Kicks Club discounts are captured. However, gated member prices that strictly require an authenticated login session are not extracted, adhering to our non-login policy.
Yes. Our extraction schema links all child variants (shades, volumes, color codes) to their parent SKU, ensuring accurate aggregation and pricing per variant.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full beauty catalogue extraction or continuous price monitoring across Nordic retailers, we scope, build, and operate the pipeline.
