We extract product configurations, safety compliance ratings, size matrices, and bulk pricing from Engelbert Strauss. Delivered as clean JSON, CSV, or Parquet to S3 or Snowflake.
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 engelbert-strauss.de. All fields typed and schema-versioned.
"product_id": "63101", "title": "Trousers e.s.motion 2020", "category": "Workwear > Trousers", "safety_class": "None", "base_price": 71.28, "currency": "EUR", "available_colours": "['black/hi-vis yellow', 'graphite/cement']", "stock_status": "In Stock"
| # | product_id | title | category | safety_class | base_price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Safety Footwear objects from engelbert-strauss.de. All fields typed and schema-versioned.
"product_id": "93781", "model_name": "S3 Safety shoes e.s. Kastra II", "safety_norm": "EN ISO 20345:2011 S3", "toe_cap_material": "Steel", "esd_certified": true, "slip_resistance": "SRC", "weight_grams": 680, "metal_free": false
| # | product_id | model_name | safety_norm | toe_cap_material | sole_type | esd_certified |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Bulk Pricing objects from engelbert-strauss.de. All fields typed and schema-versioned.
"sku": "63101-48-BLK", "product_id": "63101", "size": "48", "base_price": 71.28, "tier_1_qty": 10, "tier_1_price": 67.71, "tier_2_qty": 30, "tier_2_price": 64.14
| # | sku | product_id | colour_code | size | base_price | tier_1_qty |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Material & Care objects from engelbert-strauss.de. All fields typed and schema-versioned.
"product_id": "63101", "outer_shell": "65 % Polyester / 35 % Cotton", "weight_gsm": 245, "wash_temp_celsius": 60, "tumble_dry": "Low heat", "iron": "Medium heat", "bleach": false
| # | product_id | outer_shell | lining | padding | weight_gsm | wash_temp_celsius |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories objects from engelbert-strauss.de. All fields typed and schema-versioned.
"category_id": "cat_trousers", "name": "Work Trousers", "parent_category": "Workwear", "product_count": 412, "breadcrumb": "Home > Workwear > Work Trousers", "meta_title": "Work Trousers & Shorts | Engelbert Strauss"
| # | category_id | name | parent_category | url | product_count | breadcrumb |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our scraper handles the complex configuration matrices typical of B2B workwear catalogues, extracting multi-dimensional size grids, dynamic bulk pricing, and strict safety compliance metadata.
Capture every combination of size, length, and colour. We map parent products to hundreds of individual SKUs automatically.
Extract volume-based discounts and graduated pricing structures for every product variant, accurately reflecting B2B purchasing costs.
Isolate EN ISO compliance data, safety classes (S1, S3, SRC), and ESD certifications into structured, queryable fields.
Parse textile compositions, grammage (GSM), and care instructions into normalised data points for procurement analysis.
Monitor inventory levels and delivery lead times across specific size and colour permutations.
Target specific regional domains (DE, AT, CH, UK) to capture local pricing, tax variations, and language-specific descriptions.
Capture normal, slim, and plus-size categorisations alongside standard numeric or alphanumeric sizing conventions.
Run continuous pipelines that only output records when prices, stock, or specifications change.
Execute complex frontend logic to reveal dynamic pricing and variant availability hidden behind user interactions.
Brief in. Clean data out.
Provide target categories or product URLs. We design the extraction schema for variants and pricing.
We configure crawlers to handle dynamic variant loading and regional locale settings.
Schema validation, null-rate checks on pricing tiers, and variant completeness testing.
Data pushed to your warehouse or object storage on an hourly, daily, or weekly cadence.
Extracting data from Engelbert Strauss requires navigating dynamic frontend frameworks and deep product matrices.
Product pages load base information first, fetching specific size and colour combinations via background requests. We use Playwright to intercept these API calls and render the full variant matrix.
A single trouser model can have over 150 variants across colour, waist, and length. Our pipeline flattens these matrices into individual SKU records with precise pricing and stock data.
Prices and availability vary by region. We route requests through region-specific residential proxies to ensure you capture the exact catalogue presented to local buyers.
We maintain persistent browser sessions and realistic request headers to avoid rate limits when scraping deep category trees.
We use multiple selectors and JSON-LD parsing to ensure data extraction remains stable even when the frontend layout changes.
Workwear retailers track pricing changes across bulk tiers to remain competitive in B2B tenders.
Large industrial buyers monitor availability and price trends to optimise their PPE purchasing cycles.
Distributors synchronise product specifications, safety norms, and material data into their own PIM systems.
Health and safety officers verify that available footwear and apparel meet specific EN ISO standards.
Manufacturers analyse material trends, colour popularity, and sizing distribution in the European workwear market.
Automated alerts for restocks on critical high-volume items or specific obscure size variants.
"Engelbert Strauss defines European workwear standards, but extracting their multi-dimensional size and colour matrices requires serious pipeline engineering."
Most teams underestimate the complexity of B2B catalogue scraping. Extracting accurate bulk pricing tiers across hundreds of size and colour permutations requires full JavaScript rendering and session persistence. DataFlirt handles this infrastructure so your procurement and pricing teams can focus on analysis rather than maintenance.
Everything supported by our engelbert-strauss.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 executes JavaScript to load complete variant matrices.
Pools of residential ISP proxies ensure accurate regional pricing and prevent IP bans during extensive catalogue crawls.
Pipelines run on scalable infrastructure. Airflow handles scheduling and dependency management for daily catalogue updates.
Data delivered to where your team already works — no new tooling required.
About engelbert-strauss.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product catalogues and pricing is generally permissible. DataFlirt extracts only public data and does not bypass authentication walls for customer-specific pricing. Clients must ensure their use case complies with relevant terms of service.
We use Playwright to interact with the frontend, triggering the API calls that load variant data. We then flatten these multi-dimensional matrices into individual SKU records, ensuring accurate mapping of prices and stock to specific combinations.
Yes. Our pipeline captures the graduated pricing tiers (e.g., price for 10 units vs 30 units) for every product variant.
Yes. We isolate safety classes, EN ISO norms, material compositions, and care instructions into structured data fields rather than leaving them as raw text blocks.
We capture the stock status indicators presented on the site, which can be tracked over time to infer availability trends.
Yes. We offer sample runs for specific categories so you can validate the schema and variant handling before committing to a full pipeline.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a full catalogue extraction or daily price monitoring across specific categories, we build and operate the infrastructure. Contact us to scope your requirements.
