Mr-Bridge/wine-investment-grade-prices-2026

Fine Wines 2026: Scores, Prices & Style

340 Bordeaux and Burgundy names looked up on Wine-Searcher (including 4 spirits from wine houses, such as a Marc de Bourgogne), one row per name: aggregated critic score, number of critic reviews, cheapest offer, number of offers, style and popularity rank. Open dataset by MrBridge, free to download, inspect and reuse.

Data source

Collected on 2026-05-04 with the Wine-Searcher Scraper from List on Apify. Input: 340 Bordeaux and Burgundy names (inputValue) taken from the Vivino Bordeaux and Burgundy runs of the same day, searched through a French proxy. Run the Actor with your own list for fresh data.

Get fresh data: https://apify.com/mrbridge/wine-searcher-scraper-from-list?fpr=mrbridge

Columns

data.csv, 340 rows, 15 columns.

Column	Type	Filled	Description
wineName	string	100%	Wine name as found on Wine-Searcher (see Limitations)
appellation	string	100%	Appellation or region
style	string	92%	Wine-Searcher style, such as "Red - Savory and Classic" (4 values)
score	float	93%	Aggregated critic score, out of 100
criticReviewsCount	float	85%	Number of critic reviews behind the score
cheapestPriceAmount	float	92%	Cheapest offer found (currency not recorded)
cheapestPriceMerchant	string	91%	Merchant of the cheapest offer
offersCount	float	92%	Number of offers listed
wineryName	string	92%	Producer
wineSearcherUrl	string	100%	Search URL used on Wine-Searcher
inputValue	string	100%	Wine name submitted to the Actor
offersPages	int	100%	Pages of offers read
scrapedAt	timestamp	100%	Collection time (UTC)
wineryUrl	string	85%	Producer page on Wine-Searcher
winePopularity	string	57%	Wine-Searcher popularity rank, such as "271st"

Load it

from datasets import load_dataset

ds = load_dataset("Mr-Bridge/wine-investment-grade-prices-2026", split="train")
df = ds.to_pandas()

Use cases

• Critic score against cheapest price, from Bordeaux classed growths to Burgundy villages
• Market depth (offersCount) against score or popularity
• Style groups and their price levels
• Building a watch list of fine wines to track over time

Limitations

• 21 rows hold Wine-Searcher's search-page text in wineName ("Showing results for ...") because no exact wine page was found. Only 3 of them carry a score. Filter them before analysis.
• The file has no currency column. The run went through France, but Wine-Searcher can show other currencies, so check before comparing amounts.
• The cheapest offer can be an auction lot or a large format. The merchant name tells you which.
• The names come from the Vivino Bordeaux and Burgundy datasets collected the same day (196 Burgundy, 144 Bordeaux), so the list follows Vivino's coverage and is not a sample of the market.
• Prices and scores are a snapshot taken on 2026-05-04.

Personal data

None. Rows describe wines, producers and merchants.

About MrBridge & related analysis

This is an open dataset by MrBridge, free to download, inspect and reuse. We turn it into published analysis:

• 🔌 Produced with the Wine-Searcher Scraper from List
• 🔌 Related tool: the Millesima Wine Scraper
• 🍷 Millesima prices and critic scores, 4,845 wines: Millesima Critic Scores 2026
• 🗂️ Browse all our open datasets: https://mr-bridge.com/datasets
• 📦 Same dataset on Kaggle: https://www.kaggle.com/datasets/mrbridge/wine-investment-grade-prices-2026

MrBridge bridges data and intelligence: https://mr-bridge.com

Citation

@misc{mrbridge_wine_investment_grade_prices_2026,
  author       = {MrBridge},
  title        = {Fine Wines 2026: Scores, Prices and Style},
  year         = {2026},
  publisher    = {Hugging Face},
  howpublished = {\url{https://huggingface.co/datasets/Mr-Bridge/wine-investment-grade-prices-2026}}
}

License

Released under CC BY-SA 4.0. Attribution: MrBridge (https://mr-bridge.com).