We extract electronics product listings, regional store pricing, energy efficiency labels, and availability signals from expert.de. Delivered as clean JSON or Parquet to S3 or BigQuery.
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 expert.de. All fields typed and schema-versioned.
"article_number": "11128085744", "ean": "8806094267270", "title": "Samsung GQ65S95CAT OLED TV", "brand": "Samsung", "category": "TV & Audio > Fernseher", "base_price": 2499.0, "energy_efficiency_class": "F", "rating": 4.8, "review_count": 124
| # | article_number | ean | title | brand | category | base_price |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Regional Pricing & Stores objects from expert.de. All fields typed and schema-versioned.
"store_id": "expert-technomarkt-muenchen", "store_name": "Expert Technomarkt Muenchen", "zip_code": "80331", "price": 2399.0, "stock_status": "in_stock", "pickup_available": true, "delivery_time": "1-3 Werktage", "scraped_at": "2023-11-01T08:30:00Z"
| # | store_id | store_name | zip_code | price | stock_status | pickup_available |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Technical Specs objects from expert.de. All fields typed and schema-versioned.
"article_number": "11128085744", "display_size": "65 Zoll / 163 cm", "resolution": "3.840 x 2.160 Pixel", "processor": "Neural Quantum Processor 4K", "weight": "29.0 kg", "color": "Carbon Silver", "dimensions": "144.4 x 89.8 x 26.8 cm"
| # | article_number | display_size | resolution | processor | ram | storage_capacity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Reviews & Ratings objects from expert.de. All fields typed and schema-versioned.
"review_id": "rev-847291", "article_number": "11128085744", "author_name": "Thomas M.", "star_rating": 5, "review_date": "2023-10-15", "review_title": "Hervorragendes Bild", "verified_purchase": true, "helpful_votes": 12
| # | review_id | article_number | author_name | star_rating | review_date | review_title |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Search Results objects from expert.de. All fields typed and schema-versioned.
"keyword": "oled tv 65 zoll", "position": 1, "article_number": "11128085744", "title": "Samsung GQ65S95CAT OLED TV", "price": 2499.0, "sponsored": false, "promotion_badge": "Cashback Aktion", "scraped_at": "2023-11-01T08:31:15Z"
| # | keyword | position | article_number | title | price | sponsored |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our expert.de scraper navigates regional store selections, dynamic inventory states, and complex technical specification tables to deliver normalised retail data.
Title, EAN, article numbers, descriptions, and high-resolution image URLs scraped across the entire electronics catalogue.
expert.de prices vary by local Fachmarkt. We simulate geographic sessions via PLZ inputs to capture exact regional pricing.
Track click-and-collect availability, local stock levels, and home delivery timeframes for specific postal codes.
Extract EU energy labels, repairability indices, and power consumption metrics required for compliance monitoring.
Deep extraction of tabular specs, normalising unstructured HTML into clean JSON objects for direct comparison.
Full review text, star ratings, and verified purchase flags paginated across all customer feedback pages.
Capture instalment rates, zero-percent financing promotions, and associated banking terms displayed on product pages.
Track organic position for specific electronics keywords, capturing promotional badges and category placements.
Run continuous pipelines at hourly or daily cadences with change-detection diffing to monitor rapid price shifts.
Brief in. Clean data out.
Provide category URLs, EAN lists, or specific PLZ codes. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, proxy rotation, and session management for expert.de.
Schema validation, null-rate checks, and regional price-outlier detection before full launch.
JSON / CSV / Parquet pushed to your S3 bucket or BigQuery dataset on agreed cadence.
German retail sites use strict bot protection and complex session states for local store pricing. Here is how we maintain reliable extraction.
expert.de requires setting a local store or PLZ to view accurate pricing and inventory. We manage persistent cookie sessions and inject specific postal codes to extract data for targeted Fachmärkte.
Store selection and dynamic price updates rely on client-side JavaScript. We run full Playwright browser sessions to ensure all React/Vue components hydrate properly before extraction.
European retailers deploy strict IP filtering. We utilise premium German residential ISP proxies to route requests, ensuring high success rates and avoiding regional blocking.
Technical specifications on expert.de vary wildly between categories. Our parsers map variable HTML tables into a consistent, normalised schema for easy downstream querying.
We maintain a hash index of last-seen values per field. Subsequent runs only push diffs, reducing compute cost and providing a clean changelog of price adjustments.
Electronics brands and competing retailers monitor regional pricing and promotional campaigns to optimise their own pricing strategies.
Analysts track inventory availability across different German regions to identify supply chain bottlenecks and regional demand.
Consumer electronics manufacturers audit local Fachmärkte for Minimum Advertised Price violations and inconsistent product representation.
Retail buyers analyse category depth, new product introductions, and brand share of shelf to guide procurement decisions.
Regulatory bodies and ESG platforms extract energy efficiency labels to monitor compliance with EU display regulations.
Supply chain teams correlate review velocity and stock status indicators with sales trends to improve forecasting models.
"Expert.de's decentralised pricing model means true market visibility requires tracking inventory across hundreds of local Fachmärkte simultaneously."
Most teams underestimate the complexity of regional retail scraping. Extracting accurate pricing from expert.de requires session-based geolocation spoofing, full JavaScript execution for store selection, and residential proxies to bypass bot detection. DataFlirt manages this infrastructure so your engineers can focus on the data.
Everything supported by our expert.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 manages JavaScript rendering and local store cookie sessions.
We maintain pools of German residential ISP proxies. Rotation happens per-request with sticky sessions for regional pricing extraction.
Pipelines run on AWS Lambda and ECS. Airflow handles scheduling and dependency management, with state stored in Postgres.
Data delivered to where your team already works — no new tooling required.
About expert.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available pricing and catalogue information is generally permissible. DataFlirt targets only public, non-authenticated retail data. We do not extract personal data or circumvent authentication walls. Clients should review terms of service and consult legal counsel.
We use Playwright to simulate browser sessions, injecting specific PLZ (postal codes) or store IDs into the session state. This allows us to extract accurate regional pricing and stock availability for any targeted Fachmarkt.
Yes. We use premium German residential proxies to ensure requests originate from standard consumer IP ranges, combined with realistic browser fingerprinting and request timing.
Pipelines can be configured for daily catalogue refreshes or higher-frequency intra-day runs for specific high-velocity categories or promotional monitoring.
Our packages typically start at monitoring a defined set of categories or a specific EAN list across multiple regional stores. Contact us for a scoped quote based on your volume requirements.
Yes. We provide a sample run of up to 500 products across 3 different regional store settings so you can validate schema fit and data quality before committing.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a complete electronics catalogue dump or continuous regional price monitoring across Germany, we build and operate the pipeline. Tell us what you need.
