We extract product listings, aggregated pricing, material specifications, and shop redirect links from moebel.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 moebel.de. All fields typed and schema-versioned.
"product_id": "mbl-8472910", "title": "Ecksofa Monza mit Schlaffunktion", "brand": "Home24", "price": 899.99, "original_price": 1199.99, "shop_name": "home24.de", "material": "Webstoff", "colour": "Grau"
| # | product_id | title | brand | category_path | price | original_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Shop & Pricing objects from moebel.de. All fields typed and schema-versioned.
"product_id": "mbl-8472910", "shop_name": "home24.de", "price": 899.99, "currency": "EUR", "shipping_cost": 0.0, "delivery_time_days": "14-21", "in_stock": true, "return_policy_days": 30
| # | product_id | shop_name | shop_redirect_url | final_shop_url | price | currency |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Categories & Hierarchy objects from moebel.de. All fields typed and schema-versioned.
"category_id": "cat-sofas-12", "name": "Ecksofas", "parent_category": "Sofas & Couches", "level": 3, "product_count": 14205, "url": "https://www.moebel.de/wohnzimmer/sofas-couches/ecksofas", "top_brands": "['Home24', 'XXXLutz', 'Otto']"
| # | category_id | name | parent_category | level | product_count | breadcrumbs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Materials & Dimensions objects from moebel.de. All fields typed and schema-versioned.
"product_id": "mbl-8472910", "primary_material": "Holzwerkstoff", "width_cm": 245.0, "height_cm": 85.0, "depth_cm": 160.0, "assembly_required": true, "seat_height_cm": 42.0
| # | product_id | primary_material | secondary_material | width_cm | height_cm | depth_cm |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from moebel.de. All fields typed and schema-versioned.
"keyword": "esstisch eiche massiv", "position": 4, "product_id": "mbl-392811", "sponsored": false, "price": 450.0, "shop_name": "Otto", "scraped_at": "2026-05-12T10:15:22Z"
| # | keyword | position | product_id | title | price | shop_name |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Moebel.de aggregates hundreds of retailers. Our pipeline normalises this fragmented data into a unified schema, resolving redirects and capturing deep material specifications.
Extract titles, descriptions, dimensions, materials, colours, and styles across all furniture and decor categories.
Capture current prices, crossed-out original prices, and discount percentages across participating partner shops.
Follow moebel.de outbound tracking links to capture the final destination URL on the partner retailer's domain.
Extract estimated delivery windows, shipping costs, and return policy details as displayed on the aggregator.
Parse unstructured dimension text into structured width, height, depth, and weight fields in metric units.
Identify which brands are carried by which retailers, tracking assortment overlap across the platform.
Monitor organic and sponsored rankings for generic terms like 'Boxspringbett' or 'Kleiderschrank'.
Traverse complex faceted navigation (e.g., 'Sofas' + 'Grey' + 'Velvet' + 'Under 500€') to ensure total catalogue coverage.
Run daily or weekly diffs to identify new product listings, price drops, and removed items without re-processing the entire site.
Brief in. Clean data out.
Provide target categories, search terms, or specific partner shops. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, session management, and CAPTCHA handling for moebel.de.
Schema validation, null-rate checks, price-outlier detection, and redirect resolution testing before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
Aggregator sites present unique crawling challenges. Here is how we maintain data integrity across hundreds of thousands of listings.
Moebel.de relies heavily on JavaScript for pagination and image loading. Our Playwright cluster executes the necessary DOM interactions to trigger infinite scrolls and hydrate product grids before extraction.
Outbound links to partner shops pass through tracking redirects. Our pipeline optionally follows these HTTP 302 chains to log the final canonical URL on the retailer's site, providing exact product mapping.
Because moebel.de aggregates data from hundreds of feeds, material and dimension text varies wildly. We apply regex-based normalisation to output clean, queryable numeric fields for dimensions and standardised material tags.
To prevent geo-blocking and ensure accurate regional pricing and availability, all requests are routed through highly reputable German residential proxies.
To bypass hard pagination limits (e.g., only showing the first 50 pages), our crawler automatically intersects categories with price brackets and attribute filters to extract the deep catalogue.
Furniture retailers track competitor pricing across the aggregator to adjust their own positioning and promotional strategies.
Brands analyse category depth to identify gaps in the market, such as underserved styles, colours, or price points.
Networks and brands verify that their products are displayed correctly, with accurate pricing and functional redirect links.
Designers and buyers track the proliferation of specific materials (e.g., bouclé, mango wood) and styles over time.
Machine learning teams use the structured hierarchy and image links to train visual search and furniture classification models.
Agencies monitor organic search performance within the moebel.de ecosystem for specific brand keywords.
"Moebel.de aggregates the entire German furniture market into one portal — but extracting that unified taxonomy requires a dedicated infrastructure layer."
Most teams underestimate the investment required: reliable moebel.de scraping requires German residential proxies, full JavaScript rendering for infinite scrolls, and complex redirect resolution. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our moebel.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, infinite scrolling, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies specifically in Germany. Rotation happens per-request to prevent rate-limiting and ensure accurate regional output.
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 moebel.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product and pricing information is generally permissible under German and EU law, provided it does not breach copyright of creative works (like images) or involve personal data. DataFlirt extracts factual metadata (prices, dimensions, materials) and respects standard crawling etiquette. Clients should review terms of service and consult legal counsel for specific use cases.
Aggregators often limit visibility to the first few thousand results per category. Our crawlers automatically generate filter permutations (e.g., iterating through every brand, colour, and price bracket) to force the site to display the deep catalogue, ensuring comprehensive extraction.
Yes. By default, moebel.de uses tracking redirects. We can configure the pipeline to follow these HTTP redirects and capture the final canonical URL on the partner shop's domain, which is essential for accurate product mapping.
We can configure pipelines to run at daily or weekly cadences. Because moebel.de is an aggregator, its displayed prices depend on the partner feeds. Our timestamps reflect exactly when the data was observed on moebel.de.
We extract the high-resolution image URLs provided in the page source. We do not host or download the binary image files by default, but URL extraction allows your systems to ingest the assets directly.
Yes. The structured output includes both the brand name and the shop name, allowing you to easily pivot the data to see all retailers carrying a specific brand and compare their pricing.
Our minimum engagement typically starts with a defined set of categories or search terms delivered weekly. For full-site extraction (millions of listings), we provide custom volume-based pricing. Contact us with your scope.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off catalogue dump or continuous price monitoring across the German furniture market — we scope, build, and operate the pipeline. Tell us what you need.
