We extract product catalogues, store-level Click & Collect inventory, pricing signals, and delivery metrics from roller.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 Data objects from roller.de. All fields typed and schema-versioned.
"product_id": "1015049800", "title": "Ecksofa grau - Mikrofaser", "price": 499.99, "currency": "EUR", "dimensions": "240 x 180 cm", "colour": "grau", "assembly_required": true, "in_stock": true
| # | product_id | sku | title | brand | category_path | price |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Inventory & Delivery objects from roller.de. All fields typed and schema-versioned.
"sku": "1015049800", "store_id": "R012", "postal_code": "10115", "click_and_collect_available": true, "store_stock_status": "in_stock", "delivery_time_days": 14, "delivery_cost": 39.0, "delivery_method": "Spedition"
| # | sku | store_id | postal_code | click_and_collect_available | store_stock_status | delivery_time_days |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Promotions objects from roller.de. All fields typed and schema-versioned.
"sku": "1015049800", "base_price": 599.99, "discounted_price": 499.99, "discount_percentage": 16, "financing_available": true, "financing_monthly_rate": 15.5, "price_timestamp": "2023-10-24T08:12:00Z"
| # | sku | base_price | discounted_price | discount_percentage | promotion_text | financing_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Reviews & Ratings objects from roller.de. All fields typed and schema-versioned.
"review_id": "REV-99281", "sku": "1015049800", "rating": 4, "review_title": "Gutes Preis-Leistungs-Verhältnis", "date_posted": "2023-09-12", "verified_purchase": true, "helpful_votes": 3
| # | review_id | sku | rating | review_title | review_text | author |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Category & Search objects from roller.de. All fields typed and schema-versioned.
"search_term": "kleiderschrank", "position": 4, "sku": "9081234500", "title": "Schwebetürenschrank weiß 200cm", "price": 299.99, "badges": "['TIPP', 'SALE']", "scraped_at": "2023-10-24T08:15:00Z"
| # | search_term | category_id | position | sku | title | price |
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Our Roller.de scraper handles every layer of the platform: product catalogues, location-based inventory, pricing configurations, and delivery metrics - with JavaScript rendering and session management built in.
SKUs, titles, dimensions, materials, care instructions, and assembly manuals extracted systematically.
Iterate over German postal codes to extract Click & Collect availability and stock levels per physical store.
Capture freight forwarding (Spedition) versus parcel delivery costs and estimated lead times.
Extract base prices, discount percentages, and active promotional badges like SALE or TIPP.
Scrape EU energy labels and technical data sheets for lighting and kitchen appliances.
Extract monthly instalment rates and financing conditions from the product detail pages.
Map parent-child relationships for furniture available in multiple fabrics, colours, or orientations.
Capture 'Passende Artikel' and room-set bundles to map product relationships.
Crawl the entire taxonomy from main departments down to specific sub-categories like Boxspringbetten.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or real-time cadences.
Brief in. Clean data out.
Provide category URLs, search terms, or store postal codes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for roller.de.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Extracting location-specific inventory and complex furniture variants requires sophisticated infrastructure. Here is how we maintain pipeline stability.
Roller.de inventory and delivery estimates depend heavily on the user's location. We manage HTTP cookie sessions and inject specific German postal codes to extract accurate, localised Click & Collect data across all branches.
Critical data points like financing options, real-time stock indicators, and dynamic price updates load asynchronously via JavaScript. We execute full Playwright sessions to hydrate the DOM before extraction.
Sofas and wardrobes often feature complex configuration matrices covering colour, material, orientation, and size. Our pipeline maps these parent-child relationships systematically, ensuring every possible SKU variant is captured.
Aggressive scraping triggers rate limits and IP bans. We distribute requests across a pool of German residential proxies, matching request headers and timing to organic user behaviour.
E-commerce layouts change during promotional events. We use multiple fallback chains per field - CSS selectors, XPath, and JSON-LD extraction - to maintain pipeline uptime during site updates.
Furniture retailers track roller.de pricing, discount strategies, and promotional events to optimise their own pricing models.
Category managers analyse material trends, colour variants, and brand availability to identify gaps in their own product ranges.
Logistics teams monitor delivery lead times and Spedition costs across different furniture categories to benchmark operational efficiency.
Real estate and retail analysts track store-level inventory and Click & Collect availability to gauge regional demand and store performance.
Machine learning teams use structured furniture descriptions, dimensions, and images to train visual search and recommendation models.
Brands monitor their products on roller.de to ensure adherence to MAP policies and verify correct representation of energy labels.
"Roller.de represents a critical segment of the German discount furniture market. Extracting its data requires handling complex variant matrices and location-specific inventory logic."
Scraping modern furniture retailers requires more than simple HTTP requests. Accurate data depends on managing session cookies for postal codes, rendering JavaScript for dynamic pricing, and unravelling nested product configurations. DataFlirt manages this complexity so you receive clean, analysis-ready tables.
Everything supported by our roller.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 retry logic. Playwright handles JavaScript rendering, postal code injection, and interaction flows.
We maintain pools of German residential ISP proxies. Rotation happens per-request with sticky sessions for accurate store-level inventory tracking.
Pipelines run on AWS Lambda and Kubernetes. Airflow handles scheduling, dependency management, and SLA alerting. All state stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About roller.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from roller.de is generally permissible under German and EU law, provided it does not extract personal data or breach copyright. DataFlirt targets only public product, pricing, and store data. Clients should consult legal counsel regarding their specific use cases.
We manage HTTP sessions and inject specific German postal codes via cookies and headers. This allows us to extract accurate Click & Collect availability and stock levels for any physical Roller store.
Yes. Sofas and wardrobes often have dozens of configurations. Our pipeline maps the parent-child relationships, extracting unique SKUs, prices, and dimensions for every combination of colour, material, and size.
We configure pipelines based on your requirements. Critical categories can be monitored hourly for promotional changes, while full catalogue refreshes typically run on a daily or weekly cadence.
Yes. We extract both standard parcel shipping costs and Spedition freight forwarding fees, along with estimated delivery lead times in days or weeks.
We utilise German residential proxies and implement polite crawl delays, randomised request timing, and browser fingerprint rotation to avoid triggering rate limits and anti-bot protections.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off furniture catalogue dump or continuous price-monitoring across all German postal codes - we scope, build, and operate the pipeline. Tell us what you need.
