# Vivino Scraper - Wine Ratings & Prices (`lulzasaur/vivino-scraper`) Actor Scrape wine data from Vivino. Get ratings, prices, wineries, regions, grapes, and vintages. Filter by wine type, rating, price range, and country. - **URL**: https://apify.com/lulzasaur/vivino-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 1,000 results This Actor is paid per event. You are not charged for the Apify platform usage, but only a fixed price for specific events. 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 ## Vivino Scraper Scrape wine data from [Vivino](https://www.vivino.com), the world's largest wine marketplace with 135,000+ wines. Extract ratings, prices, wineries, regions, grape varieties, and vintage information. ### Features - **No login required** — uses Vivino's public explore API - **Filter by wine type** — Red, White, Sparkling, Rosé, Dessert, Fortified - **Filter by rating** — minimum average rating (1.0 to 5.0) - **Filter by price** — min/max price range in USD - **Filter by country** — wine origin country (US, FR, IT, ES, AR, etc.) - **Up to 10,000 results** per run ### Output Each wine record includes: | Field | Description | |-------|-------------| | `wineId` | Vivino wine ID | | `wineName` | Wine name | | `winery` | Winery/producer name | | `vintage` | Vintage year | | `rating` | Average user rating (1.0-5.0) | | `ratingCount` | Number of ratings | | `price` | Price in USD | | `currency` | Currency code | | `region` | Wine region | | `country` | Country of origin | | `countryCode` | Country code (US, FR, IT, etc.) | | `wineType` | Wine type (Red, White, Sparkling, etc.) | | `wineTypeId` | Vivino type ID | | `grapes` | Array of grape varieties | | `imageUrl` | Wine bottle image URL | | `wineUrl` | Direct Vivino URL | | `seoName` | SEO-friendly wine name | | `scrapedAt` | Timestamp of scrape | ### Example Input ```json { "wineType": "red", "minRating": 4.0, "minPrice": 15, "maxPrice": 50, "country": "FR", "maxResults": 100 } ```` ### Example Output ```json { "wineId": 1234567, "wineName": "Château Example Grand Cru", "winery": "Château Example", "vintage": 2019, "rating": 4.3, "ratingCount": 15234, "price": 34.99, "currency": "USD", "region": "Bordeaux", "country": "France", "countryCode": "FR", "wineType": "Red", "wineTypeId": 1, "grapes": ["Cabernet Sauvignon", "Merlot"], "imageUrl": "https://images.vivino.com/thumbs/...", "wineUrl": "https://www.vivino.com/w/1234567?year=2019", "seoName": "chateau-example-grand-cru", "scrapedAt": "2026-04-25T12:00:00.000Z" } ``` ### Use Cases - **Wine price comparison** — track prices across vintages and regions - **Market research** — analyze wine ratings and pricing trends by region or grape - **Sommelier tools** — build wine recommendation datasets - **Investment analysis** — track collectible wine values over time - **Restaurant/retail** — competitive pricing intelligence for wine lists ### Cost This scraper uses Apify's pay-per-event pricing at **$0.005 per result**. A typical run of 200 wines costs approximately $1.00. ### Notes - Prices are in USD; the API returns US market prices - Ratings are community-sourced from Vivino users - The scraper respects rate limits with 1-second delays between pages - Results are paginated at 25 wines per page # Actor input Schema ## `wineType` (type: `string`): Filter by wine type. Choose 'all' for all types. ## `minRating` (type: `number`): Minimum average rating (1.0 to 5.0). Leave empty for no minimum. ## `minPrice` (type: `number`): Minimum price in USD. Leave empty for no minimum. ## `maxPrice` (type: `number`): Maximum price in USD. Leave empty for no maximum. ## `country` (type: `string`): Filter by wine origin country code (e.g. 'US', 'FR', 'IT', 'ES', 'AR'). Leave empty for all countries. ## `maxResults` (type: `integer`): Maximum number of wines to scrape. ## `proxyConfiguration` (type: `object`): Optional proxy to use. ## Actor input object example ```json { "wineType": "all", "maxResults": 200 } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = {}; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/vivino-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = {} # Run the Actor and wait for it to finish run = client.actor("lulzasaur/vivino-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 '{}' | apify call lulzasaur/vivino-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/vivino-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vivino Scraper - Wine Ratings & Prices", "description": "Scrape wine data from Vivino. Get ratings, prices, wineries, regions, grapes, and vintages. Filter by wine type, rating, price range, and country.", "version": "1.0", "x-build-id": "OVzEUihQTNxhMLvRH" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~vivino-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-vivino-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~vivino-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-vivino-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~vivino-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-vivino-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "wineType": { "title": "Wine Type", "enum": [ "all", "red", "white", "sparkling", "rose", "dessert", "fortified" ], "type": "string", "description": "Filter by wine type. Choose 'all' for all types.", "default": "all" }, "minRating": { "title": "Minimum Rating", "minimum": 1, "maximum": 5, "type": "number", "description": "Minimum average rating (1.0 to 5.0). Leave empty for no minimum." }, "minPrice": { "title": "Minimum Price (USD)", "minimum": 0, "type": "number", "description": "Minimum price in USD. Leave empty for no minimum." }, "maxPrice": { "title": "Maximum Price (USD)", "minimum": 0, "type": "number", "description": "Maximum price in USD. Leave empty for no maximum." }, "country": { "title": "Country Code", "type": "string", "description": "Filter by wine origin country code (e.g. 'US', 'FR', 'IT', 'ES', 'AR'). Leave empty for all countries." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of wines to scrape.", "default": 200 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use." } } }, "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 } } } } } } } } } } ```