Liv-ex Market Scraping
DataWeBot extracts fine wine market pricing, indices, trade data, and investment intelligence from Liv-ex — the global B2B marketplace for the fine wine trade with 450+ merchant members across 100+ countries.
Data Types DataWeBot Extracts
Comprehensive Liv-ex data covering every dimension of the fine wine market — from bid-offer pricing and trade volumes to index components and en primeur release tracking.
- Producer and château name
- Vintage year
- Appellation and region
- Format (75cl, magnum, etc.)
- Case size and lot data
- Current bid and offer prices
- Last trade price
- Liv-ex 100/1000/Fine Wine indices
- Price per bottle calculation
- Historical price series
- Parker/Wine Spectator scores
- Drinking window estimates
- Tasting note summaries
- En primeur release data
- In-bond vs duty paid flags
- Monthly trade volume
- Bid/offer spread analysis
- Market depth indicators
- Trading frequency data
- Price volatility metrics
- Price appreciation rates
- Index performance tracking
- Vintage performance comparison
- Regional market trends
- Cellar vs. market value
- En primeur release prices
- Trade price evolution
- Premium vs. release tracking
- Futures vs. physical spread
- Merchant allocation data
Platform Ecosystem
Liv-ex's integrated ecosystem spans live trading, benchmark indices, cellar management, and institutional data services — making it the definitive infrastructure layer for the global fine wine trade.
Use Cases
From wine fund portfolio valuation to en primeur campaign monitoring, Liv-ex data powers the fine wine market intelligence workflows of investors, merchants, and collectors.
- Track bid-offer spreads for investment-grade wines
- Monitor price per bottle vs. case across formats
- Analyze price appreciation by producer and vintage
- Compare Liv-ex traded prices to retail availability
- Build portfolio valuation models using live market data
- Monitor all vintages of the five Bordeaux first growths
- Track price movements across bottle and case formats
- Analyze vintage quality premium correlations
- Compare first growth performance vs. Liv-ex 100 index
- Alert on significant price movements for target châteaux
- Track DRC, Rousseau, Leroy, and top domaine prices
- Monitor scarcity premiums for low-production Burgundies
- Analyze village vs. premier vs. grand cru price spreads
- Track Burgundy performance vs. Liv-ex Burgundy 150
- Identify under-valued appellations and producers
- Capture Bordeaux en primeur release prices as published
- Track immediate market reaction to en primeur pricing
- Compare release prices to prior vintage benchmarks
- Monitor futures vs. physical market spread evolution
- Analyze which vintages trade at discount vs. premium to release
- Mark wine fund portfolios to Liv-ex market prices
- Calculate NAV using real-time bid and offer data
- Track index correlation for portfolio benchmarking
- Monitor liquidity depth for large position management
- Generate performance attribution by region and producer
- Track price trends for collecting-grade wines
- Monitor drinking window alignment with price peaks
- Identify cellar release opportunities vs. market bids
- Analyze vertical collection value across vintages
- Research acquisition pricing for target producers
Sample Data Fields
A representative selection of the structured fields extracted from Liv-ex — delivered in your preferred format via API, webhook, or file download.
| Field | Example | Type |
|---|---|---|
| wine_id | LX-CH-PETRUS-2019-75 | string |
| producer | Pétrus | string |
| vintage | 2019 | string |
| appellation | Pomerol | string |
| region | Bordeaux, France | string |
| format | 75cl | string |
| case_size | 12 bottles | string |
| bid_per_case_gbp | 6200 | float |
| offer_per_case_gbp | 6800 | float |
| last_trade_per_case_gbp | 6450 | float |
| parker_score | 98+ | string |
| in_bond | true | boolean |
| livex_100_component | true | boolean |
| monthly_trade_volume_cases | 42 | integer |
| price_change_1yr_pct | 12.5 | float |
| scraped_at | 2025-07-12T04:00:00Z | timestamp |
About Liv-ex
Liv-ex (London International Vintners Exchange) is the global marketplace and data standard for the fine wine trade, with over $100 million in monthly trading volume among its 600+ merchant members across 40+ countries. Liv-ex's indices — including the Liv-ex Fine Wine 100 and Liv-ex 1000 — are the benchmark reference points for fine wine investment performance, used by investment funds, estate agents, and auction houses worldwide. The platform covers Bordeaux, Burgundy, Champagne, Rhône, Italian, and New World fine wines, with traded prices, bids, and offers providing real-time market discovery.
DataWeBot extracts Liv-ex traded price data, wine listings, bid-offer spreads, and market index components — delivering the institutional-grade fine wine market intelligence required by wine investment funds, merchants, and collectors.
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Frequently Asked Questions
Everything you need to know about our ecommerce data extraction services.
DataWeBot covers all wines traded on Liv-ex — primarily Bordeaux, Burgundy, Champagne, Rhône, Italy (Super Tuscans, Barolo, Barbaresco), and selected Rest of World. Data includes all producers with regular trading activity on the exchange.
DataWeBot extracts publicly available index data from Liv-ex, capturing index performance, component wine prices, and historical series for investment return analysis.
DataWeBot extracts and flag in-bond (IB) and duty paid (DP) prices separately, enabling accurate comparison and cost calculation for wine traders and investors.
Yes. DataWeBot tracks Bordeaux en primeur campaign release prices and then monitor the evolution of those wine prices through their full trade lifecycle on Liv-ex.
Fine wine market data is updated daily for active trading wines. Monthly aggregate data and index components are extracted as published.
Yes. DataWeBot offers unified fine wine market intelligence combining Liv-ex trade prices, Wine-Searcher retail availability, and auction house results for comprehensive wine market analysis.
Data is delivered via REST API, webhook, or file downloads (JSON, CSV, Parquet). Custom schemas for wine investment platforms or portfolio management systems are available.
DataWeBot extracts only publicly available market data and index information from Liv-ex. Member-exclusive pricing and trade data requiring authentication is not collected.
Yes. DataWeBot can cross-reference extracted price data with publicly available critic scores to analyze the relationship between critical acclaim and market price performance.
Yes. DataWeBot can configure producer-specific monitoring — tracking all vintage/format combinations for target châteaux or domaines with price change alerts.