We extract footwear listings, pricing signals, size availability, and material specifications from salamander.de. 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 salamander.de. All fields typed and schema-versioned.
"sku": "SL-1029384", "title": "Men Classic Leather Oxford", "brand": "Lloyd", "category": "Men > Business Shoes", "colour": "Black", "price": 129.95, "url": "https://www.salamander.de/lloyd-oxford-black", "image_urls": "['https://img.salamander.de/1.jpg', 'https://img.salamander.de/2.jpg']"
| # | sku | title | brand | category | colour | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Pricing & Offers objects from salamander.de. All fields typed and schema-versioned.
"sku": "SL-1029384", "current_price": 99.95, "original_price": 129.95, "discount_pct": 23, "currency": "EUR", "sale_badge": true, "timestamp": "2026-05-12T09:14:00Z", "stock_status": "in_stock"
| # | sku | current_price | original_price | discount_pct | currency | sale_badge |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Size & Inventory objects from salamander.de. All fields typed and schema-versioned.
"sku": "SL-1029384", "size_eu": "43", "size_uk": "9", "available": true, "low_stock_warning": true, "stock_qty": 2, "delivery_time": "2-4 days", "store_availability": false
| # | sku | size_eu | size_uk | available | low_stock_warning | stock_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Material & Specs objects from salamander.de. All fields typed and schema-versioned.
"sku": "SL-1029384", "upper_material": "Smooth Leather", "inner_material": "Textile", "sole": "Rubber", "heel_height": "2.5 cm", "closure_type": "Laces", "toe_cap": "Round", "shoe_width": "Normal"
| # | sku | upper_material | inner_material | sole | heel_height | closure_type |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Brand Intelligence objects from salamander.de. All fields typed and schema-versioned.
"brand_id": "BR-084", "brand_name": "Rieker", "product_count": 412, "avg_price": 65.5, "sale_percentage": 14.2, "category_distribution": "Women > Boots", "top_colours": "['Black', 'Brown']", "brand_url": "https://www.salamander.de/rieker"
| # | brand_id | brand_name | product_count | category_distribution | avg_price | sale_percentage |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our salamander.de scraper handles every layer of the platform: product listing pages, dynamic sizing grids, brand filters, and material specs - with JavaScript rendering and session management built in.
Title, brand, category paths, descriptions, and high-resolution image URLs scraped at the SKU level.
Capture current price, original price, discount percentages, and sale badges timestamped per crawl.
Extract available sizes, out-of-stock sizes, and low-stock warnings across the entire EU and UK sizing charts.
Track product counts, average price points, and discount strategies across hundreds of brands on the platform.
Extract upper material, sole composition, closure type, and heel height for detailed product categorisation.
Link parent product models to all available colour variants with corresponding SKUs and images.
Monitor estimated delivery times and click-and-collect availability across the German store network.
Traverse complex navigation trees and facet filters to map the entire site hierarchy automatically.
Run continuous pipelines at daily or weekly cadences, emitting only records that have changed since the last run.
Brief in. Clean data out.
Provide categories, brand lists, or specific URLs. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for salamander.de.
Schema validation, null-rate checks, and size-grid integrity verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Footwear sites rely heavily on dynamic inventory and size grids. Here's how we stay resilient.
Size grids on salamander.de are dynamically hydrated via API calls. Our Playwright integration captures the final rendered state, ensuring accurate stock availability per size.
Footwear SKUs are complex. We map parent models to all child variants, ensuring pricing and stock are accurately attributed to the specific colour and size combination.
To ensure accurate pricing, tax inclusion, and local stock availability, we route all traffic through German residential proxies, mimicking native user behaviour.
Product listing pages use dynamic loading. Our crawlers manage infinite scroll and pagination tokens to ensure zero data loss during category sweeps.
We maintain a hash index of product states. Downstream systems only receive updates when a price drops or a size goes out of stock, saving compute and storage.
Footwear retailers track Salamander's pricing and discount strategies to adjust their own promotional calendars.
Brands monitor their own product representation, stock depth, and categorisation on the Salamander platform.
Analysts track which colours, materials, and styles are entering the sale section to gauge consumer demand shifts.
Supply chain teams monitor out-of-stock rates across specific sizes to optimise their own production runs.
Fashion tech companies use material specs and category paths to train visual search and recommendation models.
Premium footwear brands ensure Salamander adheres to Minimum Advertised Price agreements during seasonal sales.
"Salamander.de holds critical pricing and inventory signals for the European footwear market - but none of it is queryable unless you build the pipeline."
Most teams underestimate the investment required: reliable footwear scraping requires handling dynamic size grids, variant mapping, JavaScript rendering, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis - not the infrastructure.
Everything supported by our salamander.de 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 grids. Combined via scrapy-playwright middleware.
We maintain pools of German residential proxies to ensure accurate pricing and stock availability, bypassing regional blocking.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management. All state stored in managed Postgres.
Data delivered to where your team already works — no new tooling required.
About salamander.de scraping, legality, and pipeline operations.
Ask us directly →Yes. Our pipeline interacts with the size selection grid to extract the complete matrix of available sizes, out-of-stock sizes, and low-stock indicators for every colour variant.
We support daily, weekly, or custom cadences. For high-priority SKUs, we can configure intra-day runs to capture flash sales and rapid stock depletion.
Yes. We extract all structured data from the product details section, including upper material, inner lining, sole type, and heel height.
Our selector strategy uses multiple fallback chains (CSS, XPath, JSON-LD). We monitor schema drift in real-time and patch selectors before data quality is impacted.
Yes. Our change detection system can be configured to emit only new SKUs discovered since the previous run, perfect for tracking new season launches.
No. We only extract publicly available catalogue, pricing, and inventory data. We do not scrape authenticated areas like user profiles or loyalty point balances.
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 15,000 SKUs - we scope, build, and operate the pipeline. Tell us what you need.
