We extract footwear listings, apparel variations, pricing signals, size grids, and brand catalogues from Spartoo. 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 spartoo.com. All fields typed and schema-versioned.
"product_id": "1849201", "title": "Dr. Martens 1460 Smooth", "brand": "Dr. Martens", "category": "Shoes", "sub_category": "Boots", "price": 149.0, "currency": "EUR", "discount_pct": 0, "colours_available": "['Black', 'Cherry Red']", "rating": 4.8
| # | product_id | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Sizing & Stock objects from spartoo.com. All fields typed and schema-versioned.
"product_id": "1849201", "sku": "DRM-1460-BLK-42", "colour_variant": "Black", "size_eu": "42", "size_uk": "8", "in_stock": true, "stock_level": "low_stock", "price_for_size": 149.0, "scraped_at": "2026-05-12T10:15:22Z"
| # | product_id | sku | colour_variant | size_eu | size_uk | size_us |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from spartoo.com. All fields typed and schema-versioned.
"review_id": "REV-938102", "product_id": "1849201", "rating": 5, "review_title": "Classic and durable", "review_date": "2026-04-22", "verified_purchase": true, "language": "en", "size_purchased": "EU 42"
| # | review_id | product_id | author | rating | review_title | review_body |
|---|---|---|---|---|---|---|
| 1 | ||||||
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| 3 |
Our Spartoo scraper handles every layer of the platform: brand catalogues, dynamic pricing, size-level stock availability, and multi-region variants — with JavaScript rendering and anti-bot circumvention built in.
Title, brand, materials, colours, description, and high-resolution image URLs — scraped across all footwear and apparel categories.
Extract EU/UK/US size grids and track stock depth per size variant. Monitor when specific sizes sell out or restock.
Capture current price, original price, discount percentages, and sale event badges — timestamped per crawl.
spartoo.co.uk, spartoo.fr, spartoo.it, spartoo.de and other European storefronts — all normalised into a single schema.
Full review text, star ratings, helpful vote counts, and verified purchase flags — paginated across all product reviews.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences with change-detection diffing.
Brief in. Clean data out.
Provide category URLs, brand lists, or specific product IDs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for spartoo.com.
Schema validation, null-rate checks, price-outlier detection, and sample size grids before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Fashion retail sites use aggressive bot protection to prevent competitor scraping. Here's how we stay resilient — and why teams choose managed infrastructure over DIY.
Spartoo employs strict rate limiting and bot detection. Our crawlers use residential ISP proxies with realistic browser fingerprints, randomised request timing, and full cookie session management — trained on real user behaviour patterns.
Size selection grids and stock availability indicators on Spartoo are heavily JavaScript-dependent. We run full Playwright browser sessions to trigger dropdowns and capture size-level data that headless HTTP clients miss entirely.
Fashion retailers update their DOM structures frequently during sale seasons. Our selector strategy uses multiple fallback chains per field — ensuring a layout change doesn't break your pricing intelligence pipeline.
For large brand catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs — reducing compute cost and downstream processing load. You get a clean changelog rather than full re-dumps.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, missing size grids, and coverage drops — and respond before you notice. SLA uptime is contractual, not aspirational.
Fashion retailers and brands monitor Spartoo pricing, discount depths, and seasonal sale events to optimise their own pricing strategies.
Merchandising teams analyse Spartoo's brand coverage and category depth to identify gaps in their own product ranges.
Supply chain analysts track size-level stockouts across key footwear models to forecast demand and optimise inventory.
Brands audit Spartoo for Minimum Advertised Price (MAP) violations and track how their products are positioned and discounted.
Analysts track colour availability, material descriptions, and new product additions to identify emerging fashion trends in the European market.
Machine learning teams use Spartoo's extensive catalogue of high-resolution images and metadata to train visual search and classification models.
"Spartoo holds one of Europe's deepest footwear and apparel catalogues — but extracting size-level stock and pricing requires navigating strict anti-scraping measures."
Most teams underestimate the investment required: reliable fashion scraping requires residential proxies, full JavaScript rendering for dynamic size grids, daily selector maintenance, and anomaly monitoring. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our spartoo.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 across European 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 spartoo.com scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Spartoo is generally permissible under applicable law in the UK and EU. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review Spartoo's ToS and consult legal counsel for specific use cases.
We use residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains so DOM changes don't break the pipeline. We monitor for rate spikes in real time and trigger pool rotation automatically.
We support spartoo.co.uk, spartoo.fr, spartoo.it, spartoo.de, spartoo.es, and other localized storefronts — all mapped to a unified schema with currency and language normalisation.
Yes. We capture the full size grid (EU, UK, US formats) for every footwear and apparel listing, including specific stock levels (e.g., in stock, low stock, out of stock) and any size-specific pricing variations.
Real-time streaming pipelines achieve sub-60-minute latency for price and availability signals on a defined product set. Full brand catalogue refreshes at daily cadence complete within a 4-8 hour window depending on size.
Our smallest packages start at a defined product list or specific brand subset with weekly delivery. For full category extraction or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
Absolutely. We provide a sample run of up to 500 products as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off footwear catalogue dump or a continuous price-monitoring feed across 1M products — we scope, build, and operate the pipeline. Tell us what you need.
