# Vivino Wine Review Scraper (`saswave/vivino-wine-review-scraper`) Actor Extracts wine reviews, tasting notes, user ratings, and community engagement metrics. Structured review data and identified flavor profile tags. Enables sommelier platforms, wine merchants, and e-commerce aggregators to analyze consumer sentiment and flavor preferences at scale. - **URL**: https://apify.com/saswave/vivino-wine-review-scraper.md - **Developed by:** [SASWAVE](https://apify.com/saswave) (community) - **Categories:** E-commerce, Social media, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 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. 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 web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows. 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. - **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use). - **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`. - **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`. - **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`. - **Any other language** — 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 Wine Review Scraper Extracts wine reviews, tasting notes, user ratings, and community engagement metrics directly from Vivino's global wine catalog. By pulling structured review data and identified flavor profile tags, this scraper enables sommelier platforms, wine merchants, and e-commerce aggregators to analyze consumer sentiment and flavor preferences at scale. ### FEATURE Tasting Note Extraction: Capture full tasting review notes (note, tagged\_note) alongside language metadata (language). Automated Flavor Profile Identification: Extract Vivino’s structured flavor profile matches (flavor\_word\_matches), isolating key flavor notes like oak, vanilla, black cherry, leather, or cinnamon. Social Engagement Tracking: Measure review popularity by capturing community likes (likes\_count) and comment threads (comments\_count). Detailed User Profiles: Retrieve reviewer metadata including display name (alias), SEO handle (seo\_name), avatar image (image), total reviews submitted (reviews\_count), and follower count (followers\_count). Chronological Indexing: Access immutable publication timestamps (created\_at) to monitor how a wine's rating evolves across vintage years. ### USE CASES Flavor Profile & Pairing Analysis: Aggregate flavor word matches across thousands of reviews to build automated wine recommendation engines based on taste characteristics. E-Commerce Content Enrichment: Import authentic customer tasting notes and star ratings directly into online wine shop product pages to boost conversion rates and SEO. Brand & Vintage Sentiment Auditing: Track community feedback and star rating trends across different vintage releases for specific wineries or appellations. Influencer & Sommelier Discovery: Identify top wine reviewers on Vivino by filtering users with high follower counts (followers\_count) and extensive review histories (reviews\_count). ### OUTPUT ```json { "id": 197878458, "rating": 4.5, "note": " cherry oak vanilla tobacco plum leather earthy blackberry red fruit balsamic black cherry cedar mushroom prune coffee cinnamon", "language": "en", "created_at": "2021-03-10T18:20:31.000Z", "flavor_word_matches": [ "cedar", "mushroom", "plum", "vanilla", "balsamic", "black cherry", "coffee", "oak", "prune", "red fruit", "earthy", "leather", "tobacco", "blackberry", "cinnamon" ], "tagged_note": " cherry oak vanilla tobacco plum leather earthy blackberry red fruit balsamic black cherry cedar mushroom prune coffee cinnamon", "likes_count": 22, "comments_count": 1, "user": { "id": 31892006, "seo_name": "garret.penning", "alias": "Garret Abraham Penning", "is_featured": false, "is_premium": false, "visibility": "all", "language": "en", "followers_count": 333, "followings_count": 788, "ratings_count": 3544, "ratings_sum": 14453.1, "reviews_count": 2170, "purchase_order_count": 0, "image": "https://images.vivino.com/avatars/JqL44XMHT12Y5OAoVytVdg.jpg" } } ``` ### 🛟 SUPPORT Share your runs with the developer team and create issues on error to help us improve actor quality. You might discover edge case we didn't test yet We stay available anytime # Actor input Schema ## `wine_ids` (type: `array`): from url https://www.vivino.com/en/veuve-clicquot-brut-carte-jaune-champagne/w/1128385 id is 1128385 ## `max_page` (type: `integer`): 0 or empty = no limit ## Actor input object example ```json { "wine_ids": [ "1128385" ], "max_page": 1 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "wine_ids": [ "1128385" ], "max_page": 1 }; // Run the Actor and wait for it to finish const run = await client.actor("saswave/vivino-wine-review-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 = { "wine_ids": ["1128385"], "max_page": 1, } # Run the Actor and wait for it to finish run = client.actor("saswave/vivino-wine-review-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "wine_ids": [ "1128385" ], "max_page": 1 }' | apify call saswave/vivino-wine-review-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,saswave/vivino-wine-review-scraper" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/TbfjtE7Lojhuu0yy7/builds/E7HWmQ8wqI15j9MKk/openapi.json