We extract product listings, multi-country pricing, energy efficiency labels, EAN codes, store availability, and customer reviews from MediaMarkt. 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 mediamarkt.de. All fields typed and schema-versioned.
"ean": "4548736142459", "title": "Sony Bravia XR-55A95L OLED 4K TV", "brand": "Sony", "price": 1799.00, "currency": "EUR", "energy_label_class": "G", "energy_consumption_kwh": 213, "discount_pct": 18, "country_market": "DE", "in_stock": true
| # | ean | product_id | title | brand | model_number | category |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Multi-Country Pricing objects from mediamarkt.de. All fields typed and schema-versioned.
"ean": "4548736142459", "country_market": "NL", "price": 1849.00, "old_price": 2249.00, "discount_pct": 18, "cashback_offer": 150.00, "financing_available": true, "price_timestamp": "2026-05-12T10:00:00Z"
| # | ean | country_market | price | old_price | discount_pct | discount_abs |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Technical Specifications objects from mediamarkt.de. All fields typed and schema-versioned.
"ean": "4548736142459", "screen_size_inch": 55, "panel_type": "OLED", "resolution": "3840x2160", "refresh_rate_hz": 120, "hdr_support": "Dolby Vision, HDR10", "energy_label_class": "G", "weight_kg": 18.4
| # | ean | screen_size_inch | resolution | panel_type | refresh_rate_hz | hdr_support |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Store Availability objects from mediamarkt.de. All fields typed and schema-versioned.
"ean": "4548736142459", "store_id": "MM-DE-0241", "store_name": "MediaMarkt Berlin Mitte", "city": "Berlin", "country": "DE", "in_store_stock": true, "stock_quantity": 3, "click_collect_hours": "Ready in 2h"
| # | ean | store_id | store_name | city | country | in_store_stock |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Our MediaMarkt scraper covers the full platform across all European markets: product specs, energy labels, EAN codes, multi-country pricing, cashback and financing offers, and store-level availability — with JavaScript rendering and anti-bot circumvention built in.
Title, brand, EAN, full technical specifications, energy efficiency class, energy consumption, warranty months, bundle items, and accessory listings — scraped at product level across all MediaMarkt categories.
Track prices simultaneously across MediaMarkt Germany, Netherlands, Spain, Portugal, Italy, Austria, Poland, and more — with market-native currencies, cashback offers, and financing flag per country.
Capture energy efficiency class (A–G), annual energy consumption in kWh, and EU energy label data — critical for regulatory compliance research, ESG scoring, and green product benchmarking.
In-store stock quantities and Click & Collect readiness queried per store across MediaMarkt's 1,000+ European locations — including express delivery eligibility per postcode.
Full customer review corpus with star ratings, review text, and helpfulness votes — paginated across all star-filter views per product.
Monitor manufacturer cashback amounts, MediaMarkt financing plans, and trade-in offer values — structured deal signals that go beyond the sticker price.
Every product is captured with its EAN/GTIN code — enabling clean joins to manufacturer databases, price comparison platforms, and internal product catalogues.
Run one-off bulk exports or configure continuous pipelines at hourly, daily, or weekly cadences with change-detection diffing.
Track organic vs sponsored placement positions across any MediaMarkt category or search query — across all supported country markets simultaneously.
Brief in. Clean data out.
Provide EAN lists, category URLs, brand names, or country market selections. We design the extraction schema and market coverage together.
We configure Scrapy / Playwright crawlers, market-matched proxy pools, and store availability querying across all selected MediaMarkt country storefronts.
Schema validation, energy label completeness checks, multi-country price cross-validation, and spec field null-rate audit before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
MediaMarkt runs distinct storefronts per European country with different tech stacks, languages, and bot-detection configurations. Here's how we stay resilient across all of them.
Each MediaMarkt country storefront serves geo-specific content and detects cross-border traffic. We run market-matched residential proxy pools — DE IPs for mediamarkt.de, NL IPs for mediamarkt.nl — ensuring pricing, availability, and promotions are captured exactly as a local consumer sees them.
MediaMarkt's product pages, store availability widgets, and energy label panels are fully JavaScript-rendered. We run complete Playwright browser sessions with lazy-load triggering and dynamic panel hydration — capturing spec data and availability that headless HTTP clients miss entirely.
EU energy label data follows specific regulatory fields (class A–G, kWh consumption, product sheet links). We extract and structure these fields per EU regulation — enabling clean joins to compliance databases and green-product benchmarking workflows without manual post-processing.
The same product appears across multiple country storefronts with different URLs, local pricing, and market-specific promotions. Our EAN-based deduplication layer merges cross-market records into a single canonical product row with per-country price columns — eliminating duplicates before delivery.
Every run emits structured logs to our observability stack. We alert on null-rate spikes, cross-market price inconsistencies, spec field coverage drops, and schema drift — and respond before you notice. SLA uptime is contractual, not aspirational.
Consumer electronics brands, pan-European retailers, and price comparison engines monitor MediaMarkt pricing across countries to benchmark positioning, detect promo windows, and power repricing algorithms.
Sustainability researchers, ESG analysts, and regulatory compliance teams extract energy label classes and consumption data across CE categories to benchmark product portfolios against EU efficiency standards.
Product managers and category teams extract full technical specifications across competing SKUs — screen size, panel type, refresh rate, connectivity — to map feature differentiation and gap analysis.
Brands and field teams monitor in-store stock levels and Click & Collect readiness across MediaMarkt's European store network to surface distribution gaps and out-of-stock patterns.
ML teams use MediaMarkt product specs, images, and structured attribute data to train product categorisation models, CE attribute extractors, and technical specification parsers.
PE firms and equity analysts track MediaMarkt category pricing trends, promotional cadence, and assortment shifts to evaluate consumer electronics retail sector companies across Europe.
"MediaMarkt is Europe's largest consumer electronics retailer — and its multi-country pricing layer, energy label data, and store inventory signals make it one of the most strategically rich CE datasets available."
Reliable MediaMarkt scraping requires country-matched residential proxies per storefront, full React rendering, EU energy label schema expertise, EAN-level deduplication across markets, and daily selector maintenance. DataFlirt absorbs that complexity so your team focuses on the intelligence.
Everything supported by our mediamarkt.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, EAN-level deduplication, and retry logic. Playwright handles React rendering, country-specific cookie sessions, and energy label panel hydration. Combined via scrapy-playwright middleware.
We maintain country-matched residential ISP proxy pools across DE, NL, ES, AT, PL, PT, and IT. Each crawl context uses the correct national pool to receive local pricing, availability, and promotional content.
Pipelines run on AWS Lambda (burst) and ECS (sustained). Airflow handles multi-market 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 mediamarkt.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available product, pricing, and review data from MediaMarkt is generally permissible under applicable EU and national law — reinforced by the hiQ v. LinkedIn ruling and the EU Database Directive's treatment of publicly accessible data. DataFlirt targets only non-authenticated public data and does not extract personal data, circumvent authentication walls, or violate GDPR. We recommend clients review MediaMarkt's ToS independently and consult legal counsel for specific use cases.
We support Germany, Netherlands, Spain, Portugal, Italy, Austria, Poland, and additional markets on request. Each country storefront is crawled with its own residential proxy context and locale configuration, delivering market-native pricing and availability.
Yes. We extract energy efficiency class (A–G), annual energy consumption in kWh, and product information sheet links — structured per EU Regulation 2021/341 fields. This data is validated for completeness on every run and flagged where label data is absent from a product page.
We use EAN/GTIN as the canonical product key and merge cross-market records into a single row with per-country price, availability, and deal fields. This eliminates the deduplication burden on your side and enables direct price comparison across markets.
Price and availability signals on a defined EAN set can be refreshed within 1–2 hours across all selected markets. Full catalogue refreshes at daily cadence complete within a 6–10 hour window depending on scope and market count.
Absolutely. We provide a sample run of up to 500 EANs across your selected markets as part of the pre-engagement scoping process — so you can validate schema fit, multi-country pricing fields, and energy label completeness before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off multi-country CE price export or a continuous energy label, spec, and availability monitoring feed across Europe — we scope, build, and operate the pipeline.
