# Vivino Wine Scraper — Ratings, Reviews & Prices (`bovi/vivino-wine-scraper`) Actor Scrape Vivino wine data by name: ratings, reviews, taste profile, food pairings, region, grapes, and live merchant price. One rich row per wine. No API key. Pay per result. - **URL**: https://apify.com/bovi/vivino-wine-scraper.md - **Developed by:** [Vitalii Bondarev](https://apify.com/bovi) (community) - **Categories:** E-commerce, Business, AI - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.43 / 1,000 wine-results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-event ## What's an Apify Actor? Actors are a software tools running on the Apify platform, for all kinds of web data extraction and automation use cases. In Batch mode, an Actor accepts a well-defined JSON input, performs an action which can take anything from a few seconds to a few hours, and optionally produces a well-defined JSON output, datasets with results, or files in key-value store. In Standby mode, an Actor provides a web server which can be used as a website, API, or an MCP server. Actors are written with capital "A". ## How to integrate an Actor? If asked about integration, you help developers integrate Actors into their projects. You adapt to their stack and deliver integrations that are safe, well-documented, and production-ready. The best way to integrate Actors is as follows. In JavaScript/TypeScript projects, use official [JavaScript/TypeScript client](https://docs.apify.com/api/client/js.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python.md): ```bash pip install apify-client ``` In shell scripts, use [Apify CLI](https://docs.apify.com/cli/docs.md): ````bash # MacOS / Linux curl -fsSL https://apify.com/install-cli.sh | bash # Windows irm https://apify.com/install-cli.ps1 | iex ```bash In AI frameworks, you might use the [Apify MCP server](https://docs.apify.com/platform/integrations/mcp.md). If your project is in a different language, use the [REST API](https://docs.apify.com/api/v2.md). For usage examples, see the [API](#api) section below. For more details, see Apify documentation as [Markdown index](https://docs.apify.com/llms.txt) and [Markdown full-text](https://docs.apify.com/llms-full.txt). # README **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`): | Field | Description | |---|---| | `name` | Full wine name (winery + label) | | `winery` | Winery / producer name | | `vintage` | Vintage year (integer) | | `wine_type` | Red, White, Sparkling, Rosé, Dessert, Fortified | | `region` | Region name (English) | | `country` | Country of origin | | `appellation` | Appellation / sub-region label | | `grape_varieties` | List of grape variety names | | `average_rating` | Community average rating for this vintage (0–5) | | `ratings_count` | Number of community ratings for this vintage | | `wine_average_rating` | All-vintage average rating for the wine label | | `wine_ratings_count` | All-vintage ratings count | | `price` | Live merchant price (numeric) | | `currency` | Currency code (USD, EUR, GBP, …) | | `discount_percent` | Discount off the reference price, if any | | `taste_profile` | Object: `body`, `acidity`, `tannins`, `sweetness`, `fizziness` | | `food_pairings` | List of recommended food pairing names | | `wine_description` | Editorial description / tasting notes (plain text) | | `alcohol` | Alcohol by volume (%) | | `image_url` | Bottle/label image URL | | `reviews` | List of community reviews (rating, note, user, date) | | `vivino_url` | Canonical Vivino URL for this wine | | `wineId` | Vivino internal wine ID | | `vintageId` | Vivino internal vintage ID | | `shipTo` | Country code used for price localisation | | `query` | Your original input query (for traceability) | | `parse_confidence` | Data completeness score (1.0 = all fields populated) | | `warnings` | List of any missing-field warnings | | `scraped_at` | ISO-8601 timestamp of the run | ### Input Required field: `wines` — a list of wine names, search queries, or Vivino URLs. ```json { "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 } ```` | Parameter | Type | Default | Description | |---|---|---|---| | `wines` | list of strings | *(required)* | Wine names, queries, or Vivino URLs | | `shipTo` | string | `"US"` | Two-letter country code for price localisation | | `currency` | string | auto | Three-letter currency code; auto-selected from `shipTo` if omitted | | `includeTasteProfile` | boolean | `true` | Fetch taste structure and food pairings | | `includeReviews` | boolean | `true` | Fetch community reviews | | `maxReviewsPerWine` | integer | `20` | Reviews per wine (0–200) | ### Pricing This actor uses **pay-per-result** billing — you are charged only when a wine is successfully resolved and written to the dataset. | Event | Price | |---|---| | `wine-result` — one wine record delivered | **$0.0025** | 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. # Actor input Schema ## `wines` (type: `array`): Wine names to look up on Vivino. Each item is a free-text query — the more specific, the better the match. Example: \['Caymus Cabernet Sauvignon 2019', 'Cloudy Bay Sauvignon Blanc', 'Sassicaia 2018']. ## `shipTo` (type: `string`): Two-letter country code used to localise prices and availability (e.g. US, GB, FR, DE). The actor proxies through this country's residential network. ## `currency` (type: `string`): Three-letter currency code for prices (e.g. USD, EUR, GBP). Leave default to auto-pick from the ship-to country. ## `includeTasteProfile` (type: `boolean`): Fetch the taste structure (body, acidity, tannins, sweetness, fizziness) and food pairings for each wine. Default: true. ## `includeReviews` (type: `boolean`): Fetch community reviews (rating + note text) for each wine. Default: true. ## `maxReviewsPerWine` (type: `integer`): When reviews are enabled: how many community reviews to collect per wine. Lower this to reduce result size. Default: 20. ## `proxyConfiguration` (type: `object`): Apify proxy settings. Defaults to RESIDENTIAL in the ship-to country, which is recommended for reliable access and localised prices. ## Actor input object example ```json { "wines": [ "Caymus Cabernet Sauvignon 2019", "Cloudy Bay Sauvignon Blanc" ], "shipTo": "US", "currency": "USD", "includeTasteProfile": true, "includeReviews": true, "maxReviewsPerWine": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): Dataset of wine records (name, winery, vintage, wine\_type, region, country, ratings, price, taste\_profile, reviews, food\_pairings, grape\_varieties, vivino\_url, parse\_confidence, scraped\_at). # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "wines": [ "Caymus Cabernet Sauvignon 2019", "Cloudy Bay Sauvignon Blanc" ], "shipTo": "US", "currency": "USD", "includeTasteProfile": true, "includeReviews": true, "maxReviewsPerWine": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("bovi/vivino-wine-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${run.defaultDatasetId}`); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach((item) => { console.dir(item); }); // 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/js/docs ``` ## Python example ```python from apify_client import ApifyClient # Initialize the ApifyClient with your Apify API token # Replace '' with your token. client = ApifyClient("") # Prepare the Actor input run_input = { "wines": [ "Caymus Cabernet Sauvignon 2019", "Cloudy Bay Sauvignon Blanc", ], "shipTo": "US", "currency": "USD", "includeTasteProfile": True, "includeReviews": True, "maxReviewsPerWine": 20, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("bovi/vivino-wine-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("💾 Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "wines": [ "Caymus Cabernet Sauvignon 2019", "Cloudy Bay Sauvignon Blanc" ], "shipTo": "US", "currency": "USD", "includeTasteProfile": true, "includeReviews": true, "maxReviewsPerWine": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call bovi/vivino-wine-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=bovi/vivino-wine-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vivino Wine Scraper — Ratings, Reviews & Prices", "description": "Scrape Vivino wine data by name: ratings, reviews, taste profile, food pairings, region, grapes, and live merchant price. One rich row per wine. No API key. Pay per result.", "version": "0.1", "x-build-id": "jY3f4sbN9aZlkgxYW" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/bovi~vivino-wine-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-bovi-vivino-wine-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for its completion, and returns Actor's dataset items in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/bovi~vivino-wine-scraper/runs": { "post": { "operationId": "runs-sync-bovi-vivino-wine-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK", "content": { "application/json": { "schema": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/bovi~vivino-wine-scraper/run-sync": { "post": { "operationId": "run-sync-bovi-vivino-wine-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } } }, "components": { "schemas": { "inputSchema": { "type": "object", "required": [ "wines" ], "properties": { "wines": { "title": "Wine names / queries", "type": "array", "description": "Wine names to look up on Vivino. Each item is a free-text query — the more specific, the better the match. Example: ['Caymus Cabernet Sauvignon 2019', 'Cloudy Bay Sauvignon Blanc', 'Sassicaia 2018'].", "items": { "type": "string" } }, "shipTo": { "title": "Ship-to country", "type": "string", "description": "Two-letter country code used to localise prices and availability (e.g. US, GB, FR, DE). The actor proxies through this country's residential network.", "default": "US" }, "currency": { "title": "Currency", "type": "string", "description": "Three-letter currency code for prices (e.g. USD, EUR, GBP). Leave default to auto-pick from the ship-to country.", "default": "USD" }, "includeTasteProfile": { "title": "Include taste profile & food pairings", "type": "boolean", "description": "Fetch the taste structure (body, acidity, tannins, sweetness, fizziness) and food pairings for each wine. Default: true.", "default": true }, "includeReviews": { "title": "Include community reviews", "type": "boolean", "description": "Fetch community reviews (rating + note text) for each wine. Default: true.", "default": true }, "maxReviewsPerWine": { "title": "Max reviews per wine", "minimum": 0, "maximum": 200, "type": "integer", "description": "When reviews are enabled: how many community reviews to collect per wine. Lower this to reduce result size. Default: 20.", "default": 20 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Apify proxy settings. Defaults to RESIDENTIAL in the ship-to country, which is recommended for reliable access and localised prices.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "runsResponseSchema": { "type": "object", "properties": { "data": { "type": "object", "properties": { "id": { "type": "string" }, "actId": { "type": "string" }, "userId": { "type": "string" }, "startedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "finishedAt": { "type": "string", "format": "date-time", "example": "2025-01-08T00:00:00.000Z" }, "status": { "type": "string", "example": "READY" }, "meta": { "type": "object", "properties": { "origin": { "type": "string", "example": "API" }, "userAgent": { "type": "string" } } }, "stats": { "type": "object", "properties": { "inputBodyLen": { "type": "integer", "example": 2000 }, "rebootCount": { "type": "integer", "example": 0 }, "restartCount": { "type": "integer", "example": 0 }, "resurrectCount": { "type": "integer", "example": 0 }, "computeUnits": { "type": "integer", "example": 0 } } }, "options": { "type": "object", "properties": { "build": { "type": "string", "example": "latest" }, "timeoutSecs": { "type": "integer", "example": 300 }, "memoryMbytes": { "type": "integer", "example": 1024 }, "diskMbytes": { "type": "integer", "example": 2048 } } }, "buildId": { "type": "string" }, "defaultKeyValueStoreId": { "type": "string" }, "defaultDatasetId": { "type": "string" }, "defaultRequestQueueId": { "type": "string" }, "buildNumber": { "type": "string", "example": "1.0.0" }, "containerUrl": { "type": "string" }, "usage": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "integer", "example": 1 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } }, "usageTotalUsd": { "type": "number", "example": 0.00005 }, "usageUsd": { "type": "object", "properties": { "ACTOR_COMPUTE_UNITS": { "type": "integer", "example": 0 }, "DATASET_READS": { "type": "integer", "example": 0 }, "DATASET_WRITES": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_READS": { "type": "integer", "example": 0 }, "KEY_VALUE_STORE_WRITES": { "type": "number", "example": 0.00005 }, "KEY_VALUE_STORE_LISTS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_READS": { "type": "integer", "example": 0 }, "REQUEST_QUEUE_WRITES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_INTERNAL_GBYTES": { "type": "integer", "example": 0 }, "DATA_TRANSFER_EXTERNAL_GBYTES": { "type": "integer", "example": 0 }, "PROXY_RESIDENTIAL_TRANSFER_GBYTES": { "type": "integer", "example": 0 }, "PROXY_SERPS": { "type": "integer", "example": 0 } } } } } } } } } } ```