Vivino Wine Scraper — Ratings, Reviews & Prices

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Pull rich wine data from Vivino by name, vintage, or URL — ratings, reviews, taste profiles, food pairings, grape varieties, region, and live merchant prices in one flat record per wine. No API key, no account required.

Whether you're building a wine recommendation engine, tracking prices across vintages, or enriching a product catalog, this Vivino scraper delivers 31 structured fields per wine in seconds.

Features

• Name or URL input — pass free-text queries like "Caymus Cabernet Sauvignon 2019", bare names like "Cloudy Bay Sauvignon Blanc", or direct Vivino wine URLs (https://www.vivino.com/w/12345).
• Year-aware matching — "Caymus 2019" resolves the 2019 vintage specifically; a query without a year returns the top current vintage.
• 31-field output — catalog fields, community ratings, taste structure, food pairings, grape varieties, live merchant price, and up to 200 community reviews per wine.
• Live prices, localized — set shipTo to your target country (US, GB, FR, DE, …) and the actor fetches prices in the local currency via a residential proxy exit in that country.
• No API key needed — reads Vivino's public pages; runs on a residential proxy for reliable access out of the box.
• Pay per result — you are charged only for wines that successfully resolve and return data ($0.0025 / wine).
• Configurable depth — toggle taste profiles, food pairings, and community reviews on or off; cap reviews per wine (0–200).
• Free preview — free Apify plan users receive up to 5 wine records to evaluate data quality before committing to a paid run.

What data you get

One record per wine, all fields populated on a verified cloud run (parse_confidence = 1.0):

Input

Required field: wines — a list of wine names, search queries, or Vivino URLs.

{
"wines":[
"Caymus Cabernet Sauvignon 2019",
"Cloudy Bay Sauvignon Blanc",
"Sassicaia 2018",
"https://www.vivino.com/w/1140610"
],
"shipTo":"US",
"currency":"USD",
"includeTasteProfile":true,
"includeReviews":true,
"maxReviewsPerWine":20
}

Pricing

This actor uses pay-per-result billing — you are charged only when a wine is successfully resolved and written to the dataset.

That is $2.50 per 1,000 wines, or roughly $1 per 400 wines. Queries that return no match are not charged. This is approximately 17% cheaper than the comparable market leader on the Apify Store.

Apify platform compute costs (typically a few cents per run) are billed separately and are covered by your Apify plan.

FAQ

Do I need a Vivino API key or account? No. The actor reads Vivino's public pages and runs on a residential proxy for reliable access. You do not need to create a Vivino account or obtain any credentials.

How does year/vintage matching work? If your query includes a year — e.g. "Opus One 2017" — the actor resolves that specific vintage and returns its ratings, price, and reviews. If no year is given — e.g. "Opus One" — the actor returns the top current vintage Vivino ranks for that label.

Can I pass Vivino URLs directly? Yes. Any item in the wines list that contains /w/ is treated as a direct Vivino wine URL and skips the search step entirely. This is the most precise way to target a specific wine.

What countries and currencies are supported for pricing? The shipTo field accepts any two-letter country code. Common ones include US, GB, FR, DE, ES, IT, AU, CA, JP, BR, CH, SE. The currency auto-selects to the local default (USD for US, EUR for Eurozone countries, GBP for GB, etc.) but can be overridden with the currency parameter.

Use cases

• Wine retail & e-commerce — enrich your product catalog with Vivino ratings, descriptions, grape varieties, and food pairing suggestions sourced from the world's largest wine community.
• Price monitoring — track live merchant prices across vintages and geographies; compare your own pricing against Vivino's merchant data.
• Wine recommendation engines — build or feed ML models with structured taste profiles (body, acidity, tannins, sweetness) and food pairing data across thousands of wines.
• Market research & competitive intelligence — analyze rating distributions, vintage quality trends, and regional price points for a segment of the market.
• Content platforms & apps — auto-populate tasting notes, food pairing guides, and winery profiles from verified community data.
• AI agents & LLM pipelines — supply structured wine data to an LLM for sommelier-style Q&A, menu generation, or natural-language product descriptions.