We extract furniture listings, dimension specs, delivery estimates, pricing signals, and material details from Home24.de. Delivered as clean JSON, CSV, or Parquet.
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 home24.de. All fields typed and schema-versioned.
"sku": "H24-18492-B", "title": "Ecksofa Kinx", "brand": "Morteens", "price": 899.99, "currency": "EUR", "discount_pct": 15, "colour": "Grey", "rating": 4.2, "review_count": 128
| # | sku | title | brand | category | sub_category | price |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Pricing & Availability objects from home24.de. All fields typed and schema-versioned.
"sku": "H24-18492-B", "price": 899.99, "list_price": 1058.81, "discount_pct": 15, "currency": "EUR", "stock_status": "in_stock", "delivery_estimate_min": 3, "delivery_estimate_max": 5, "shipping_cost": 0.0
| # | sku | price | list_price | discount_pct | currency | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Specifications objects from home24.de. All fields typed and schema-versioned.
"sku": "H24-18492-B", "height_cm": 85, "width_cm": 240, "depth_cm": 160, "weight_kg": 75.5, "material_primary": "Polyester", "colour_primary": "Grey", "assembly_required": true
| # | sku | height_cm | width_cm | depth_cm | weight_kg | material_primary |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Reviews objects from home24.de. All fields typed and schema-versioned.
"review_id": "REV-94821", "sku": "H24-18492-B", "star_rating": 5, "review_title": "Great sofa", "review_body": "Firm but comfortable. Fits perfectly in the living room.", "review_date": "2023-10-12", "verified_purchase": true, "helpful_votes": 4
| # | review_id | sku | reviewer_name | star_rating | review_title | review_body |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Category Data objects from home24.de. All fields typed and schema-versioned.
"category_id": "CAT-492", "category_name": "Ecksofas", "parent_category": "Sofas & Couches", "breadcrumb_path": "Möbel > Sofas & Couches > Ecksofas", "product_count": 1492, "min_price": 299.0, "max_price": 4500.0
| # | category_id | category_name | parent_category | breadcrumb_path | product_count | category_url |
|---|---|---|---|---|---|---|
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Our Home24 scraper handles the complexities of furniture retail: nested variant structures, dynamic delivery estimates based on postal codes, and JavaScript heavy product configurators.
Title, dimensions, weight, materials, care instructions, and every metadata field Home24 surfaces - scraped at SKU level with parent-child variant mapping.
Capture price, list price, discount percentages, and shipping costs - timestamped per crawl.
Extract dynamic delivery timelines, stock status, and showroom availability across different postal codes.
Normalised extraction of height, width, depth, and weight into structured numeric fields for easy database ingestion.
Full review text, star ratings, helpful vote counts, and verified purchase flags - paginated across all review pages.
Track all available colours, materials, and configurations for a single parent product.
Extract full breadcrumb paths and category structures to understand Home24's internal catalogue hierarchy.
Extract data from home24.de, home24.ch, and home24.at with region-specific pricing and delivery estimates.
Run one-off bulk exports or configure continuous pipelines at daily or weekly cadences with change-detection diffing.
Brief in. Clean data out.
Provide SKU lists, category URLs, or keyword sets. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for home24.de.
Schema validation, null-rate checks, price-outlier detection, and sample reviews before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Furniture retail sites rely on complex configurators and dynamic logistics APIs. Here is how we extract reliable data.
Home24 product pages use heavy client-side rendering for variant selection and delivery estimates. We run full Playwright browser sessions to hydrate the DOM and capture dynamic state.
Delivery timelines vary by region. Our pipeline injects specific postal codes during the browser session to extract accurate, region-specific shipping estimates.
Furniture specs are often stored as unstructured text. We parse strings like 'B: 240 cm, H: 85 cm' into strictly typed numeric fields for direct database ingestion.
For large catalogues, we maintain a hash index of last-seen values per field. Subsequent runs only push diffs - reducing compute cost and downstream processing load.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, price outliers, and schema drift.
Furniture retailers monitor Home24 pricing, discount strategies, and shipping costs to remain competitive.
Merchandising teams analyse Home24 category depth, colour trends, and material preferences to guide procurement.
Analysts track product lifecycles, new brand introductions, and category saturation trends.
Computer vision and NLP teams use Home24 image datasets and product descriptions to train home decor recommendation models.
Brands benchmark their own product ratings and review sentiment against similar items sold on Home24.
Supply chain teams study Home24 delivery timelines and shipping costs across different regions to optimise their own fulfillment networks.
"Home24 represents one of the most comprehensive structured datasets for European furniture retail, but extracting dimensional and logistical data requires strict schema enforcement."
Most teams underestimate the complexity of scraping European homeware retailers. Reliable Home24 extraction requires handling highly nested variant structures, dynamic delivery estimates based on postal codes, and JavaScript heavy product configurators. DataFlirt absorbs this infrastructure overhead so your engineers can focus on the analysis.
Everything supported by our home24.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, cookie sessions, and interaction flows for product configurators.
We maintain pools of residential ISP proxies across DE/AT/CH regions. Rotation happens per-request to bypass regional blocking and rate limits.
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 home24.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Home24 is generally permissible. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data or circumvent authentication walls. Clients should review Home24 ToS and consult legal counsel.
Home24 delivery timelines often depend on the user location. We inject specific postal codes during the Playwright browser session to extract accurate, region-specific shipping estimates.
Yes. Our pipeline includes custom normalisation logic to extract height, width, depth, and weight from unstructured text strings and convert them into strictly typed numeric fields.
We support home24.de, home24.at, and home24.ch. Pricing and delivery data are extracted specific to the target region.
We can configure daily or weekly pipeline runs depending on your requirements. Full catalogue refreshes typically complete within a 12-hour window.
Yes. We map the parent product to all available child SKUs, capturing unique pricing, stock status, and delivery timelines for every colour and material combination.
Our smallest packages start at a defined category or SKU list (typically 5,000-20,000 SKUs) with weekly delivery. Contact us for a scoped quote.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or a continuous price-monitoring feed across 100K SKUs - we scope, build, and operate the pipeline. Tell us what you need.
