We extract wine listings, producer details, expert ratings, and promotional pricing from Vicampo.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 vicampo.de. All fields typed and schema-versioned.
"wine_id": "VC-89211", "name": "Primitivo di Manduria Riserva", "producer": "Cantine San Marzano", "vintage": 2020, "region": "Puglia", "price": 14.9, "stock_status": "in_stock"
| # | wine_id | name | producer | region | country | vintage |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Complete list of extractable fields for Ratings & Awards objects from vicampo.de. All fields typed and schema-versioned.
"wine_id": "VC-89211", "luca_maroni_score": 98, "falstaff_score": 92, "robert_parker_score": "None", "vicampo_rating": 4.6, "vicampo_review_count": 342, "tasting_notes": "Dark ruby red with notes of plum and vanilla."
| # | wine_id | vicampo_rating | vicampo_review_count | luca_maroni_score | falstaff_score | robert_parker_score |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
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Complete list of extractable fields for Pricing & Promotions objects from vicampo.de. All fields typed and schema-versioned.
"wine_id": "VC-89211", "current_price": 14.9, "original_price": 19.9, "discount_pct": 25, "bundle_price": 85.0, "bundle_quantity": 6, "price_per_liter": 19.86
| # | wine_id | current_price | original_price | discount_pct | bundle_price | bundle_quantity |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Specifications & Pairing objects from vicampo.de. All fields typed and schema-versioned.
"wine_id": "VC-89211", "sweetness": "dry", "body": "full-bodied", "drinking_temperature": "16-18 C", "closure_type": "cork", "allergens": "['sulfites']", "food_pairing_tags": "['beef', 'pasta', 'game']"
| # | wine_id | sweetness | acidity | body | drinking_temperature | maturation |
|---|---|---|---|---|---|---|
| 1 | ||||||
| 2 | ||||||
| 3 |
Complete list of extractable fields for Customer Reviews objects from vicampo.de. All fields typed and schema-versioned.
"review_id": "REV-449102", "wine_id": "VC-89211", "rating": 5, "title": "Excellent Primitivo", "text": "Very smooth and full of dark fruit flavors.", "date": "2023-11-12", "verified_purchase": true
| # | review_id | wine_id | author | rating | title | text |
|---|---|---|---|---|---|---|
| 1 | ||||||
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Our Vicampo scraper handles every layer of the platform: wine catalogues, dynamic pricing, expert ratings, and bundle deals with automated handling for age gates and geo-blocking.
Extract all wine SKUs, vintages, grape varieties, and producer details across the entire site.
Capture base price, discounted price, and bundle offers. Track price fluctuations over time.
Extract Luca Maroni, Falstaff, and Robert Parker scores directly from product listings.
Capture flavour profiles, acidity, sweetness, and body metrics for each wine.
Track inventory status and low-stock warnings to forecast sales velocity.
Extract verified customer reviews, text, and star ratings across all paginated endpoints.
Native UTF-8 handling for umlauts and German wine terminology to ensure clean string data.
Map wines to standardised regions, countries, and grape varieties for easy aggregation.
Only push records when price, stock status, or promotional badges change.
Brief in. Clean data out.
Provide target regions, producers, or full catalogue requirements. We design the schema.
We configure Scrapy crawlers, proxy rotation, and session management for vicampo.de.
Schema validation, null-rate checks, and price-outlier detection before full launch.
JSON, CSV, or Parquet pushed to your S3 bucket, BigQuery, or Snowflake on agreed cadence.
Scraping European retail sites requires strict bot evasion and dynamic content rendering. Here is how our infrastructure maintains reliability.
Vicampo.de restricts traffic from non-European datacenters. We route all requests through DE-based residential proxies to ensure consistent access and localised pricing.
Product grids and promotional banners are loaded dynamically. We use Playwright to execute JavaScript, ensuring all hidden SKUs and bundle pricing are captured.
Wine attributes like 'Restsüße' (residual sugar) or 'Säure' (acidity) vary in formatting. Our pipeline parses and normalises these strings into clean numeric types.
Vicampo heavily promotes 6-bottle or 12-bottle tasting packages. We extract the individual SKUs within these bundles and calculate the per-bottle discount.
Alcohol retail sites often present age verification modals. Our crawlers maintain persistent cookie sessions to bypass these gates without triggering bot detection.
Wine retailers track Vicampo's pricing, discount depths, and bundle strategies to optimise their own margins.
Beverage analysts monitor grape variety popularity and regional representation across the German market.
Producers and distributors analyse Vicampo's catalogue to identify missing vintages or underrepresented regions.
eCommerce platforms feed Vicampo price points into dynamic pricing models to maintain parity.
Wineries aggregate customer reviews to understand consumer preferences regarding sweetness and acidity.
Supply chain teams track low stock indicators to estimate sales velocity for specific vintages.
"Vicampo.de holds the definitive dataset for German online wine retail, but extracting structured vintage and rating data requires handling complex dynamic interfaces."
European wine eCommerce platforms present unique scraping challenges: age gates, geo-blocking, German-language parsing, and heavily nested bundle pricing. DataFlirt manages this complexity with localised proxies and headless browser rendering, delivering clean, normalised data straight to your warehouse.
Everything supported by our vicampo.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 age-gate bypasses.
We maintain pools of residential ISP proxies in Germany. Rotation happens per-request to avoid geo-blocking and rate limits.
Pipelines run on AWS Lambda and ECS. 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 vicampo.de scraping, legality, and pipeline operations.
Ask us directly →Scraping publicly available information from Vicampo.de is generally permissible under applicable EU law, provided personal data is not extracted. DataFlirt targets only public, non-authenticated product, pricing, and review data. We do not circumvent authentication walls or violate GDPR.
We route all requests through German residential proxies. This ensures we receive the correct localised pricing and avoid IP bans targeting non-EU datacenter traffic.
Yes. Our schema separates expert ratings into distinct fields, capturing the score, the awarding body, and the associated tasting notes.
Vicampo frequently sells 6-bottle or 12-bottle bundles. We extract the bundle price, calculate the per-bottle cost, and list the individual wine SKUs included in the package.
For active price monitoring, we can configure pipelines to run daily or sub-daily. Change detection ensures you only receive records when prices or stock levels fluctuate.
Yes. All text fields, including tasting notes and food pairings, are extracted in native German with full UTF-8 encoding to preserve umlauts and special characters.
Absolutely. We provide a sample run of up to 500 wine SKUs as part of the pre-engagement scoping process to validate schema fit and data quality.
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 across 50,000 SKUs, we scope, build, and operate the pipeline. Tell us what you need.
