Wine data is everywhere — and finding none of it when you actually need it in a structured, programmatic format is a familiar frustration. Prices scatter across a dozen marketplaces. Ratings live behind paywalls or inside apps. Region rankings change with every vintage. If you have ever tried to build a wine analytics tool, a price tracker, or a market report from scratch, you know exactly how fragmented this landscape is.
This guide maps the main wine data sources available today — what each covers, where its strengths lie, and how to access wine prices, ratings, and reviews at scale. We will also explain how MrBridge scrapers bridge the gap between these sources and your analytics workflows.
The Main Wine Data Sources
Vivino: The Largest Wine Marketplace
Vivino is the biggest wine platform in the world, with over 60 million users and a catalog of more than 20 million wines. For analysts and developers, it is one of the richest sources of structured wine data available.
What Vivino offers programmatically:
- Wine ratings: Community-driven ratings (1–5 stars) aggregated from millions of user reviews. Covers an extraordinarily wide range of wines, from $8 supermarket bottles to Domaine de la Romanée-Conti.
- Prices: Current market prices from Vivino’s partner wine merchants, often with multiple offers per wine.
- User reviews: Textual reviews with flavor notes, taste profiles (sweet/acid/tannin/fruit intensity), and food pairings.
- Wine metadata: Vintage, appellation, grape varietals, producer, alcohol content, and more.
- Regional and appellation context: Style descriptions, food pairing recommendations, serving temperature.
For market research, Vivino data is particularly valuable for understanding consumer sentiment — what real wine drinkers think, at scale, across virtually every wine in production.
Our Vivino scraper extracts all of this structured data and returns it in clean JSON or CSV, ready for analysis. It handles pagination, rate limits, and session management so you can focus on the data, not the infrastructure.
Wine-Searcher: The Price Intelligence Engine
Where Vivino is strong on consumer sentiment, Wine-Searcher is the definitive source for price intelligence. It aggregates listings from thousands of merchants worldwide, making it the go-to platform for anyone tracking fine wine valuations.
Key datasets available via Wine-Searcher:
- Price history and current offers: Merchant prices for specific wine/vintage combinations, often with provenance and condition notes.
- Critic scores: Wine-Searcher aggregates professional critic scores from publications like Wine Spectator, Robert Parker, Jancis Robinson, and more — alongside merchant prices, letting you correlate ratings with market value.
- Region rankings: Wine-Searcher publishes annual region rankings based on search traffic and price trends, useful for understanding which appellations are gaining or losing prestige.
- LWIN codes: Liv-ex Wine Identification Numbers (LWIN) are the standard identifiers used in professional wine trading. Wine-Searcher maps wines to LWIN codes, which is essential for cross-platform data linking.
Wine-Searcher data is invaluable for investment analysis, merchant pricing strategy, and fine wine market research. Our Wine-Searcher scraper makes this data accessible programmatically.
Millesima: Fine Wine With Multi-Critic Ratings
Millesima is a Bordeaux-based fine wine merchant with one of the most detailed tasting note databases available online. Their catalog skews heavily toward Bordeaux, Burgundy, Champagne, and other classic French regions, but extends to top wines globally.
What makes Millesima distinctive as a data source:
- Multi-critic ratings from 8 publications: For many wines, Millesima aggregates scores from Wine Advocate (Robert Parker), Wine Spectator, Jancis Robinson, James Suckling, Bettane+Desseauve, RVF (Revue du Vin de France), Wine Enthusiast, and Decanter — all in one place.
- Professional tasting notes: Detailed descriptors from critics, not just crowd-sourced impressions.
- Pricing for fine wine: En primeur prices, current cellar stock prices, and delivery estimates.
- Structured wine metadata: Vineyard surface, production volumes, grape composition, and winemaking details for top estates.
For fine wine analysis — particularly cross-critic comparison and price-to-score modeling — Millesima is uniquely valuable. Our Millesima scraper extracts ratings, tasting notes, and pricing data across the full catalog.
Other Notable Wine Data Sources
Vinatis is another French wine merchant with solid catalog coverage and clean pricing data, particularly for mid-range and premium wines. Less rich than Millesima for critic scores, but useful as a secondary price reference.
Decanter and Wine Spectator publish ratings and reviews directly, but these are primarily designed for human readers, not programmatic access. Their data is often syndicated to aggregators like Wine-Searcher, making indirect access more practical than scraping the publications themselves.
Liv-ex (the London International Vintners Exchange) is the gold standard for fine wine trading data, but access is restricted to trade members and comes with significant subscription costs. For most use cases, Wine-Searcher provides sufficient price intelligence without Liv-ex membership costs.
CellarTracker is a community platform with extensive user tasting notes and cellar data. Its community skews toward serious collectors and provides good coverage of older vintages that might not appear on commercial marketplaces.
The Data Access Problem
All of these platforms are excellent for human wine professionals. For developers and analysts who need the data at scale, in structured formats, integrated into their own tools — the picture is less rosy.
None of these platforms offer public APIs (Wine-Searcher has a limited commercial API, but it is expensive and restricted). Data is locked inside web interfaces designed for browsing, not extraction. Bulk downloads do not exist. Building your own extraction infrastructure from scratch takes weeks and requires ongoing maintenance as websites evolve.
This is precisely the gap MrBridge was built to fill.
How MrBridge Scrapers Bridge the Gap
Our scrapers catalog includes production-ready tools for all the major wine data sources described above. Each scraper is:
- Deployed on Apify — no infrastructure to manage, runs on demand or on a schedule
- Anti-detection hardened — handles JavaScript rendering, session management, and rate limiting
- Structured output — returns clean JSON or CSV with consistent field names across scrapers
- Cross-source compatible — wine metadata fields are normalized so you can join Vivino data with Millesima scores and Wine-Searcher prices in a single dataset
Example: Building a Wine Price-Rating Correlation Dataset
A typical workflow using MrBridge scrapers might look like this:
- Run the Vivino scraper to collect community ratings, taste profiles, and consumer prices for a target appellation (e.g., Pauillac 2019)
- Run the Millesima scraper on the same wine list to enrich with professional critic scores from multiple publications
- Run the Wine-Searcher scraper to add merchant price data and LWIN codes for cross-referencing
- Merge the three datasets on wine name + vintage — you now have a multi-dimensional view of each wine: community rating, professional scores, and current market pricing
- Analyze in your BI tool of choice — Tableau, Power BI, Metabase, or a Python notebook
This kind of analysis used to require a team of data engineers and weeks of work. With MrBridge scrapers, the data collection step can be completed in hours.
What Comes Next
We are continuously expanding our wine data coverage. Upcoming additions to the scraper catalog include regional auction price tracking, en primeur release price databases, and appellation-level vintage scoring aggregations.
We also publish findings from our own analyses using these scrapers in our Studies section — including our wine pricing market reports that compare appellations, vintages, and critic scores across data sources.
If you work with wine data and there is a source or use case we have not covered yet, we want to hear about it. The goal is to make every major wine data source accessible to anyone who needs it — no custom infrastructure required.
Browse the full scrapers catalog to get started.