Wine-Searcher – Wine Prices, Scores, Offers & LWIN avatar

Wine-Searcher – Wine Prices, Scores, Offers & LWIN

Pricing

from $1.50 / 1,000 wine results

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Wine-Searcher – Wine Prices, Scores, Offers & LWIN

Wine-Searcher – Wine Prices, Scores, Offers & LWIN

Look up wines on Wine-Searcher by name, URL, or LWIN code. Returns 30+ fields including critic scores, prices, grape, region, appellation, producer, label image, user ratings, food pairing, live offer counts, cheapest merchant offer, and optional critic review breakdown.

Pricing

from $1.50 / 1,000 wine results

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Developer

AbotAPI

AbotAPI

Maintained by Community

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2

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1

Monthly active users

5 days ago

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Wine-Searcher Scraper: Scores, Prices & Popularity

Look up any wine on Wine-Searcher and get a clean, structured record back. Give the actor a list of wine names, Wine-Searcher links, or LWIN codes and it returns critic scores, average and market prices, grape, region, appellation, producer, label image, user ratings and live offer counts as JSON or CSV. Built for merchants, collectors, sommeliers and market analysts who need Wine-Searcher data in a spreadsheet or pipeline instead of a browser tab.

Why this scraper

  • Three input styles in one actor: wine names, Wine-Searcher URLs, or LWIN codes (LWIN7 / 11 / 16 / 18), with automatic detection so you can mix them.
  • Richer output than a plain price lookup: 30+ fields per wine, including user ratings, food pairing, region and origin, that other tools drop.
  • Cheapest live offer with the merchant name when you enable offer extraction, plus the total number of offers worldwide.
  • Optional per-critic review breakdown (reviewer name and score) when you enable review collection.
  • Looks up several wines in parallel for faster runs on long lists.
  • Pay only for wines actually found. Not-found and unavailable items are flagged separately and do not count.
  • Currency context follows the proxy country (France / EUR by default), so prices match the market you care about.
  • Optional one-click export of every result into Notion, Linear, Airtable or Apify through MCP connectors.

Data you get

Sample shape, values are illustrative placeholders, not from a live listing.

FieldExample
wineName2015 Sample Wine, Pomerol, France
vintage2015
appellationPomerol, France
regionPomerol
grapeVarietyMerlot
styleRed - Savoury and Classic
producerSample Producer
descriptionShort producer / wine description text.
score97
scoreBestRating100
criticReviewsCount20
criticReviews[{ "author": "Sample Critic", "score": 95, "bestRating": 100, "tastingNote": "..." }]
avgPrice5076
avgPriceCurrencyEUR
cheapestPriceAmount3400.00
cheapestPriceCurrencyEUR
cheapestPriceMerchantSample Merchant
cheapestPriceMerchantUrlhttps://www.example.com/wine/0000
bottlesPerUnit1
offers[{ "price": 3400.0, "priceCurrency": "EUR", "merchant": "Sample Merchant", "merchantUrl": "...", "unitDescription": "Bottle (750ml)", "bottlesPerUnit": 1, "availability": "InStock" }]
offersCount13
labelImageUrlhttps://www.wine-searcher.com/images/labels/00/00/000000000.jpg
wineSearcherUrlhttps://www.wine-searcher.com/find/sample/2015
searchLocationFrance
scrapedAt2026-01-01T00:00:00.000Z

The full record, including the complete offers array (every merchant, price and link) and the criticReviews breakdown with tasting notes, is always kept in the Apify dataset.

How to use

Look up by wine name (auto-detected):

{
"inputType": "auto",
"wineNames": ["Petrus 2015", "Dom Perignon 2013"],
"maxItems": 20
}

Look up by LWIN code:

{
"inputType": "lwins",
"lwins": ["11316442021", "11084042019"]
}

Look up by Wine-Searcher URL, fastest mode (no offer extraction):

{
"inputType": "urls",
"urls": ["https://www.wine-searcher.com/find/sassicaia/2019"],
"fetchOffers": false
}

Pin a different currency market (United Kingdom / GBP):

{
"inputType": "auto",
"wineNames": ["Sassicaia 2019"],
"proxy": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "GB" }
}

Send results into your apps (MCP connectors)

Optionally pipe every result into the tools you already use, no code required:

  1. Authorize a connector under Apify, Settings, API & Integrations (Notion, Linear, Airtable or Apify).
  2. Select it in the mcpConnectors input. For Notion, also set notionParentPageUrl.
  3. Run the actor. Results are written to the connector after the dataset is saved.

The connector receives a condensed, human-readable summary per wine (a title plus the key fields). The complete record always stays in the Apify dataset. Leaving mcpConnectors empty skips this entirely and never changes the dataset output.

Input parameters

ParameterTypeDefaultDescription
inputTypestringautoauto, wineNames, urls, or lwins. Auto-detect routes each item by its shape.
wineNamesarray(none)Wine names, ideally with vintage year. Up to 1000.
urlsarray(none)Wine-Searcher find URLs. Up to 1000.
lwinsarray(none)LWIN codes (7 / 11 / 16 / 18 digit). Up to 1000.
fetchOffersbooleantrueAlso extract the cheapest offer, the full offers list and popularity. Slightly slower per wine.
fetchReviewsbooleanfalseAlso collect the per-critic review breakdown (reviewer name and score).
concurrencyinteger3How many wines to look up in parallel within one session (1 to 6). Higher is faster but uses more memory.
maxItemsinteger20The single cap: process at most this many wines. 0 means no limit.
proxyobjectResidential FRResidential proxy required. Country sets the price-currency context.
mcpConnectorsarray(none)Optional MCP connectors to export results to.
notionParentPageUrlstring(none)Parent Notion page for the Notion export.
maxNotifyListingsinteger50Cap on items written to each connector per run.

Output example

Sample shape, values are illustrative placeholders, not from a live listing.

{
"inputValue": "Petrus 2015",
"inputType": "wineNames",
"wineSearcherUrl": "https://www.wine-searcher.com/find/sample/2015",
"wineName": "2015 Sample Wine, Pomerol, France",
"vintage": 2015,
"appellation": "Pomerol, France",
"region": "Pomerol",
"grapeVariety": "Merlot",
"style": "Red - Savoury and Classic",
"producer": "Sample Producer",
"description": "Short producer / wine description text.",
"score": 97,
"scoreBestRating": 100,
"criticReviewsCount": 20,
"criticReviews": [
{ "author": "Sample Critic", "score": 95, "bestRating": 100, "tastingNote": "Tasted: Jan 2018. ..." }
],
"avgPrice": 5076,
"avgPriceCurrency": "EUR",
"cheapestPriceAmount": 3400.0,
"cheapestPriceCurrency": "EUR",
"cheapestPriceMerchant": "Sample Merchant",
"cheapestPriceMerchantUrl": "https://www.example.com/wine/0000",
"bottlesPerUnit": 1,
"offers": [
{ "price": 3400.0, "priceCurrency": "EUR", "merchant": "Sample Merchant", "merchantUrl": "https://www.example.com/wine/0000", "unitDescription": "Bottle (750ml)", "bottlesPerUnit": 1, "availability": "InStock" }
],
"offersCount": 13,
"labelImageUrl": "https://www.wine-searcher.com/images/labels/00/00/000000000.jpg",
"searchLocation": "France",
"scrapedAt": "2026-01-01T00:00:00.000Z"
}

Plan requirement

Wine-Searcher only accepts residential connections, so this actor needs Apify Residential proxy (Starter plan or higher). On a free plan without residential access the run will return no data. The default pins France for EUR pricing; change the proxy country to switch the price-currency market. Critic scores, prices and the full offers list are always included; the per-critic review breakdown with tasting notes is included when you enable review collection.