# Vivino Reviews & Taste Profile Scraper (`ahmed_jasarevic/vivino-reviews-taste-profile-scraper`) Actor Professional tool to extract wine reviews, ratings, and detailed taste profiles (tannin, acidity, etc.) directly from Vivino's API High-performance Vivino scraper. Get customer reviews, regional statistics, and flavor profiles (sweetness, tannins) with residential proxy support. - **URL**: https://apify.com/ahmed\_jasarevic/vivino-reviews-taste-profile-scraper.md - **Developed by:** [Ahmed Jasarevic](https://apify.com/ahmed_jasarevic) (community) - **Categories:** Developer tools, E-commerce, Other - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $2.70 / 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: Reviews & Taste Profile Extractor This Apify Actor is a high-performance SEO-optimized tool designed to extract comprehensive wine data directly from Vivino. It bypasses complex anti-scraping measures by utilizing the internal Vivino API, providing you with structured data including user reviews, ratings, and detailed taste profiles. --- ### 🚀 Features * **Review Extraction:** Get thousands of user reviews including ratings, notes, and dates. * **Taste Profile Analysis:** Extract flavor notes (tannin, acidity, alcohol levels) if available. * **User Insights:** Scrape reviewer details like alias, follower count, and total ratings. * **SEO Data:** Collect regional info, winery statistics, and vintage details. * **High Performance:** Built with `CheerioCrawler` and optimized for residential proxies to avoid blocks. --- ### 📥 Input Example The scraper requires specific wine URLs and a proxy configuration. For the best results, **Residential Proxies** are highly recommended. ```json { "wineUrls": [ "https://www.vivino.com/w/1168128?year=2019" ], "totalReviewsToGet": 150, "includeTasteProfile": true, "proxyConfiguration": { "useApifyProxy": true, "groups": [ "RESIDENTIAL" ] } } ```` *** ### 📤 Output Example The data is delivered in a clean JSON format. Each item represents a single review tied to the specific wine and vintage. ```json { "wineId": "1168128", "year": "2019", "originalUrl": "https://www.vivino.com/w/1168128?year=2019", "id": 69996090, "rating": 3.5, "note": "Apple, pear, butter, notes of citrus and white pepper, with hints of minerals. Harmonic and refreshing. It doesn't bring some interesting or unique experience, however, it's definitely enjoyable.", "language": "en", "created_at": "2017-06-05T15:55:21.000Z", "user": { "id": 10302787, "seo_name": "chizzanoua", "alias": "Vasil B", "is_featured": false, "is_premium": false, "visibility": "all", "image": { "location": "//images.vivino.com/avatars/pm9O4S2YTbm0H5kVHd345Q.jpg", "variations": { "large": "//thumbs.vivino.com/avatars/pm9O4S2YTbm0H5kVHd345Q_300x300.jpg", "small_square": "//thumbs.vivino.com/avatars/pm9O4S2YTbm0H5kVHd345Q_50x50.jpg" } }, "background_image": { "location": "//images.vivino.com/users/backgrounds/0-NOqxRrTBSRWSomT63ABw.jpg", "variations": { "large": "//thumbs.vivino.com/backgrounds/0-NOqxRrTBSRWSomT63ABw_1200x400.jpg", "medium": "//thumbs.vivino.com/backgrounds/0-NOqxRrTBSRWSomT63ABw_600x200.jpg", "small": "//thumbs.vivino.com/backgrounds/0-NOqxRrTBSRWSomT63ABw_140x60.jpg" } }, "language": "uk", "relationship": { "is_followed_by_me": false, "is_following_me": false, "follow_requested": false, "ignored_my_follow_request": false, "requested_to_follow_me": false, "follow_ignored_by_me": false, "is_blocked_by_me": false, "is_blocking_me": false }, "statistics": { "followers_count": 2373, "followings_count": 953, "ratings_count": 3264, "ratings_sum": 12863.8, "reviews_count": 3029, "purchase_order_count": 4 } }, "vintage": { "id": 20124383, "seo_name": "j-l-quinson-les-ribelottes-bourgogne-chardonnay-2014", "name": "J. L. Quinson Les Ribelottes Bourgogne Chardonnay 2014", "statistics": { "status": "Normal", "ratings_count": 46, "ratings_average": 3.4, "labels_count": 616, "reviews_count": 18 }, "organic_certification_id": null, "certified_biodynamic": null, "image": { "location": "//images.vivino.com/labels/s-yJaJhhTfy5Wr9Adbc3TA.jpg", "variations": { "large": "//images.vivino.com/thumbs/s-yJaJhhTfy5Wr9Adbc3TA_375x500.jpg", "medium": "//images.vivino.com/thumbs/s-yJaJhhTfy5Wr9Adbc3TA_150x200.jpg", "medium_square": "//images.vivino.com/thumbs/s-yJaJhhTfy5Wr9Adbc3TA_150x150.jpg", "small_square": "//images.vivino.com/thumbs/s-yJaJhhTfy5Wr9Adbc3TA_80x80.jpg" } }, "wine": { "id": 1168128, "name": "Les Ribelottes Bourgogne Chardonnay", "seo_name": "les-ribelottes-bourgogne-chardonnay", "type_id": 2, "vintage_type": 0, "is_natural": false, "region": { "id": 385, "name": "Bourgogne", "name_en": "Burgundy", "seo_name": "bourgogne", "country": { "code": "fr", "name": "France", "native_name": "France", "seo_name": "france", "currency": { "code": "EUR", "name": "Euros", "prefix": "€", "suffix": null }, "regions_count": 1309, "users_count": 7459943, "wines_count": 459303, "wineries_count": 69220, "most_used_grapes": [ { "id": 14, "name": "Pinot Noir", "seo_name": "pinot-noir", "has_detailed_info": true, "wines_count": 572334, "parent_grape_id": null }, { "id": 5, "name": "Chardonnay", "seo_name": "chardonnay", "has_detailed_info": true, "wines_count": 604208, "parent_grape_id": null }, { "id": 10, "name": "Merlot", "seo_name": "merlot", "has_detailed_info": true, "wines_count": 566719, "parent_grape_id": null } ] }, "parent_id": null, "background_image": { "location": "//images.vivino.com/regions/backgrounds/B_R9c4eLQCuo7Nqjbii6WQ.jpg", "variations": { "large": "//thumbs.vivino.com/region_backgrounds/B_R9c4eLQCuo7Nqjbii6WQ_1280x760.jpg", "medium": "//thumbs.vivino.com/region_backgrounds/B_R9c4eLQCuo7Nqjbii6WQ_600x356.jpg" } }, "class": "VivinoAPI::Region", "statistics": { "wineries_count": 5548, "wines_count": 23392, "sub_regions_count": 0, "parent_regions_count": 0 } }, "vintage_mask": [ "2026" ], "review_status": 2, "winery": { "id": 13491, "name": "J. L. Quinson", "seo_name": "j-l-quinson", "status": 0, "review_status": "Completed", "background_image": null, "statistics": { "ratings_count": 14966, "ratings_average": 3.6, "labels_count": 193172, "wines_count": 93 } }, "style": null, "has_valid_ratings": false }, "year": 2014, "grapes": null, "has_valid_ratings": true }, "activity": { "id": 186272927, "statistics": { "likes_count": 16, "comments_count": 1 } }, "flavor_word_matches": [ { "id": 276, "match": "minerals" }, { "id": 449, "match": "white pepper" }, { "id": 70, "match": "butter" }, { "id": 106, "match": "citrus" }, { "id": 315, "match": "pear" }, { "id": 9, "match": "apple" } ], "tagged_note": "Apple, pear, butter, notes of citrus and white pepper, with hints of minerals. Harmonic and refreshing. It doesn't bring some interesting or unique experience, however, it's definitely enjoyable." } ``` *** ### 🛠️ How to Use 1. **Direct URLs:** Copy and paste the full Vivino wine link into the `wineUrls` list. 2. **Set Limits:** Define how many reviews you need via `totalReviewsToGet`. 3. **Proxy:** Ensure you select a Proxy (Residential) in the settings to ensure the scraper isn't challenged by AWS WAF. 4. **Run:** Click "Start" and watch the data populate in your dataset in real-time. ### 📈 Use Cases - **Market Research:** Analyze consumer sentiment for specific vintages or regions. - **E-commerce:** Enrich your own wine shop with authentic ratings and flavor profiles. - **Competitor Analysis:** Track winery performance and regional trends. *** **Developed for high-reliability and speed. Happy Scraping!** 🍷 # Actor input Schema ## `wineUrls` (type: `array`): Lista direktnih Vivino linkova (npr. https://www.vivino.com/w/1168128?year=2019). ## `totalReviewsToGet` (type: `integer`): Maksimalan broj recenzija koje želiš po jednom vinu. ## `includeTasteProfile` (type: `boolean`): Da li želiš podatke o ukusu (tannin, acidity, itd.). ## `proxyConfiguration` (type: `object`): Odaberi proxy (Residential je obavezan za Vivino). ## Actor input object example ```json { "totalReviewsToGet": 10, "includeTasteProfile": true } ``` # 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("ahmed_jasarevic/vivino-reviews-taste-profile-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("ahmed_jasarevic/vivino-reviews-taste-profile-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 ahmed_jasarevic/vivino-reviews-taste-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ahmed_jasarevic/vivino-reviews-taste-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vivino Reviews & Taste Profile Scraper", "description": "Professional tool to extract wine reviews, ratings, and detailed taste profiles (tannin, acidity, etc.) directly from Vivino's API\nHigh-performance Vivino scraper. Get customer reviews, regional statistics, and flavor profiles (sweetness, tannins) with residential proxy support.", "version": "0.0", "x-build-id": "5VuFcObEFrFUpKaq4" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ahmed_jasarevic~vivino-reviews-taste-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ahmed_jasarevic-vivino-reviews-taste-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/ahmed_jasarevic~vivino-reviews-taste-profile-scraper/runs": { "post": { "operationId": "runs-sync-ahmed_jasarevic-vivino-reviews-taste-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/ahmed_jasarevic~vivino-reviews-taste-profile-scraper/run-sync": { "post": { "operationId": "run-sync-ahmed_jasarevic-vivino-reviews-taste-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "wineUrls", "proxyConfiguration" ], "properties": { "wineUrls": { "title": "Wine URLs", "type": "array", "description": "Lista direktnih Vivino linkova (npr. https://www.vivino.com/w/1168128?year=2019).", "items": { "type": "string" } }, "totalReviewsToGet": { "title": "Total reviews per wine", "type": "integer", "description": "Maksimalan broj recenzija koje želiš po jednom vinu.", "default": 10 }, "includeTasteProfile": { "title": "Include Taste Profile", "type": "boolean", "description": "Da li želiš podatke o ukusu (tannin, acidity, itd.).", "default": true }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Odaberi proxy (Residential je obavezan za Vivino)." } } }, "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 } } } } } } } } } } ```