We extract wine listings, vintages, pricing, expert ratings, and stock availability from ebrosia.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 Wine Listings objects from ebrosia.de. All fields typed and schema-versioned.
"sku": "EB-94821", "name": "Primitivo di Manduria Riserva", "vintage": 2021, "winery": "Cantine San Marzano", "grape_variety": "Primitivo", "price": 14.99, "region": "Puglia", "country": "Italy"
| # | sku | name | vintage | winery | region | country |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Pricing & Stock objects from ebrosia.de. All fields typed and schema-versioned.
"sku": "EB-94821", "price": 14.99, "list_price": 18.99, "discount_pct": 21, "price_per_litre": 19.98, "stock_status": "In Stock", "delivery_time": "1-3 days", "currency": "EUR"
| # | sku | price | list_price | discount_pct | price_per_litre | stock_status |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Expert Ratings objects from ebrosia.de. All fields typed and schema-versioned.
"sku": "EB-94821", "rating_agency": "Luca Maroni", "score": 98, "max_score": 99, "award_name": "Best Italian Red", "tasting_note": "Intense ruby red colour with a complex bouquet.", "review_year": 2022
| # | sku | rating_agency | score | max_score | award_name | tasting_note |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Customer Reviews objects from ebrosia.de. All fields typed and schema-versioned.
"review_id": "REV-847291", "sku": "EB-94821", "star_rating": 5, "review_date": "2023-11-12", "review_title": "Excellent Primitivo", "verified_purchase": true, "helpful_votes": 4
| # | review_id | sku | reviewer_name | star_rating | review_date | review_title |
|---|---|---|---|---|---|---|
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Complete list of extractable fields for Food Pairings & Attributes objects from ebrosia.de. All fields typed and schema-versioned.
"sku": "EB-94821", "drinking_temperature": "16-18°C", "aging_potential": "5 years", "food_pairings": "['Red meat', 'Game', 'Aged cheese']", "allergens": "['Sulfites']", "vegan": true, "organic_certification": false
| # | sku | drinking_temperature | aging_potential | food_pairings | allergens | organic_certification |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Ebrosia.de scraper handles every layer of the platform: wine catalogues, dynamic pricing, expert ratings, and inventory signals — with JavaScript rendering and EU proxy management built in.
Title, vintage, winery, region, grape variety, and tasting notes scraped at the SKU level with strict normalisation.
Capture base price, list price, price per litre, and volume discount tiers timestamped per crawl.
Extract scores and awards from Falstaff, Luca Maroni, Mundus Vini, and other agencies mapped to specific vintages.
Monitor inventory status, delivery timeframes, and low-stock warnings across the entire assortment.
Extract drinking temperature, aging potential, food pairings, and allergen information into structured arrays.
Full review text, star ratings, and verified purchase flags paginated across all customer review pages.
Track curated wine packages, tasting boxes, and seasonal bundles including component SKU mapping.
Map wines to precise European appellations and quality tiers (e.g., DOCG, AOC, QbA) using structured taxonomy.
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 search parameters. We design the extraction schema together.
We configure Scrapy / Playwright crawlers, EU proxy rotation, and session management for ebrosia.de.
Schema validation, null-rate checks, and vintage-mapping verification before full launch.
JSON / CSV / Parquet pushed to your S3 bucket, BigQuery dataset, or Snowflake stage on agreed cadence.
European eCommerce sites employ strict geo-blocking and bot mitigation. Here is how we maintain reliable extraction.
Ebrosia.de limits access based on IP geography. Our crawlers use German residential ISP proxies with realistic browser fingerprints to ensure consistent access to regional pricing and inventory.
Critical wine attributes like drinking temperature and aging potential are often buried in unstructured HTML blocks. We use custom regex and NLP pipelines to extract these into strict JSON types.
Wine SKUs frequently change vintages while maintaining the same base URL. Our pipeline tracks vintage transitions and versions records accordingly, preventing data overwrites.
For large wine 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 — and respond before you notice.
Beverage retailers monitor pricing, package discounts, and price-per-litre metrics to optimise their own pricing strategies.
Category managers track grape varieties, regions, and vintages to identify trending wine profiles and assortment gaps.
Investors track expert rating correlations with price movements across premium vintages to identify undervalued assets.
ML teams use structured tasting notes, food pairings, and regional data to train wine recommendation algorithms.
Analysts track regional representation and organic/vegan certification trends within the German wine market.
Wineries audit their own product listings for accurate tasting notes, vintage representation, and MAP compliance.
"Ebrosia.de holds a highly structured taxonomy of European wines, vintages, and expert ratings — but extracting it requires navigating strict bot mitigation and volatile DOM structures."
Most teams underestimate the investment required: reliable scraping requires EU-based residential proxies, session management, and daily selector maintenance. DataFlirt absorbs that complexity so your engineers can focus on the analysis — not the infrastructure.
Everything supported by our ebrosia.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, deduplication, and retry logic. Playwright handles JavaScript rendering, cookie sessions, and interaction flows. Combined via scrapy-playwright middleware.
We maintain pools of residential ISP proxies across DE regions. Rotation happens per-request with sticky sessions where required. IP score monitoring prevents blacklisted pool contamination.
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 ebrosia.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information is generally permissible under applicable law. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not extract personal data, circumvent authentication walls, or violate GDPR. Clients should review terms of service and consult legal counsel for specific use cases.
We use German residential ISP proxies, full Playwright browser sessions with realistic fingerprints, and request timing modelled on human behaviour. Our selectors have multi-layer fallback chains so DOM changes do not break the pipeline.
Full catalogue refreshes at daily cadence complete within a 2-4 hour window depending on size. Historical snapshots are available from the day your pipeline is commissioned.
Yes. Every pipeline run produces timestamped snapshots. We maintain a time-series table per SKU for price, stock status, and vintage transitions from the date your pipeline starts.
Our smallest packages start at a defined category list with weekly delivery. For full catalogue extraction or custom schema requirements, we price based on volume and delivery frequency. Contact us with your use case for a scoped quote.
Yes. We extract full pagination across all customer reviews, including rating, title, body, helpful votes, and verified purchase flags.
Absolutely. We provide a sample run of up to 200 SKUs as part of the pre-engagement scoping process — so you can validate schema fit, field completeness, and data quality before signing any contract.
20-minute scoping call. Pilot dataset within the week. Production within two. Whether you need a one-off wine catalogue dump or a continuous price-monitoring feed — we scope, build, and operate the pipeline. Tell us what you need.
