# Decanter Wine Reviews Scraper (`lulzasaur/decanter-scraper`) Actor Scrape 106K+ wine reviews from Decanter.com. Extract scores, tasting notes, grape varieties, producers, regions, reviewer names, food pairings, drink windows, and prices. Search by wine name, region, or grape. - **URL**: https://apify.com/lulzasaur/decanter-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 1 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## Decanter Wine Reviews Scraper Scrape **106,000+ expert wine reviews** from [Decanter.com](https://www.decanter.com/wine-reviews/), the world's leading wine media brand. Extract professional scores, detailed tasting notes, grape varieties, producer information, reviewer names, food pairings, drink windows, and retail prices. ### What data can you extract? Each wine review includes: | Field | Description | |-------|-------------| | `wineName` | Wine brand/label name | | `fullTitle` | Full wine title with producer, appellation, region, vintage | | `producer` | Winery/producer name | | `country` | Country of origin | | `region` | Wine region (e.g., Bordeaux, Tuscany, Napa Valley) | | `appellation` | Specific appellation (e.g., Pauillac, Barolo) | | `vintage` | Vintage year | | `score` | Decanter rating (out of 100) | | `tastingNote` | Full tasting note from expert reviewer | | `reviewer` | Name of the Decanter reviewer/judge | | `grapeVariety` | Grape varieties with percentages | | `colour` | Red, White, Rose, or Orange | | `alcohol` | Alcohol percentage | | `drinkFrom` / `drinkTo` | Recommended drinking window | | `foodPairings` | Suggested food pairings | | `prices` | Retail prices from merchants (when available) | | `goodValue` | Decanter "good value" flag | | `oak` | Oak aging details | | `sweetness` | Sweetness level | | `certifications` | Organic, biodynamic certifications | ### How to use #### Search by wine name, region, or grape ```json { "searchQueries": ["Bordeaux", "Pinot Noir", "Chateau Margaux"], "maxListings": 50, "scrapeDetails": true } ```` #### Scrape latest wines ```json { "searchQueries": [], "maxListings": 100, "scrapeDetails": true } ``` #### Quick listing mode (no detail pages) ```json { "searchQueries": ["Barolo"], "maxListings": 15, "scrapeDetails": false } ``` ### How it works 1. **Search mode**: Queries Decanter's wine review search to find matching wines by name, region, producer, or grape variety. 2. **Sitemap discovery**: For large-scale scraping or when more results are needed, the scraper uses Decanter's sitemap to discover wine review URLs by month (from 2016 to present). 3. **Detail extraction**: Visits each wine's detail page and extracts structured data from Next.js server-rendered JSON (`__NEXT_DATA__`), ensuring complete and accurate data without relying on fragile CSS selectors. ### Input parameters | Parameter | Type | Default | Description | |-----------|------|---------|-------------| | `searchQueries` | string\[] | `["Bordeaux"]` | Wine search terms. Each query matches wine names, regions, producers, and grape varieties. | | `maxListings` | integer | `100` | Maximum number of wine reviews to scrape. Set to 0 for unlimited. | | `scrapeDetails` | boolean | `true` | Visit each wine's page for full tasting notes, scores, and details. If false, returns basic listing data only. | | `proxyConfiguration` | object | `{}` | Proxy settings. Recommended for large-scale runs. | ### Output example ```json { "wineId": 108541, "wineName": "Carnasciale", "fullTitle": "Podere Il Carnasciale, Carnasciale, Toscana, Tuscany, Italy, 2019", "producer": "Podere Il Carnasciale", "country": "Italy", "countryCode": "IT", "region": "Tuscany", "appellation": "Toscana", "vintage": 2019, "score": 94, "tastingNote": "Deep red. A lifted blackberry nose with a savoury, leafy tone leads into a rich, full-bodied and concentrated palate...", "reviewer": "Stephen Brook", "grapeVariety": "Caberlot", "colour": "Red", "alcohol": 13.5, "drinkFrom": 2026, "drinkTo": 2040, "goodValue": false, "fineWine": true, "monthsOak": 22, "tastingFormat": "Single Tasting", "url": "https://www.decanter.com/wine-reviews/italy/tuscany/podere-il-carnasciale-carnasciale-toscana-tuscany-2019-108541", "scrapedAt": "2026-04-25T12:00:00.000Z" } ``` ### Use cases - **Wine market research**: Analyze scores and pricing trends across regions, vintages, and grape varieties - **Wine recommendation systems**: Build wine recommendation engines using expert ratings and tasting notes - **Investment analysis**: Track fine wine scores and drinking windows for wine investment portfolios - **Sommelier tools**: Create wine pairing databases and cellar management systems - **Price comparison**: Monitor wine prices across merchants - **Wine journalism**: Research trends in wine ratings across countries and appellations ### Tips - The search returns up to 15 wines per query via server-side rendering. For more results, the scraper automatically uses the sitemap. - Set `scrapeDetails: false` for a quick overview (name, score, producer, country only). - Decanter has 106,000+ wine reviews spanning wines from 60 countries. - Some tasting notes are locked behind a premium subscription and may show truncated versions. ### Cost estimate Using Pay-Per-Event pricing at $0.005 per result: - 100 wine reviews: ~$0.50 - 1,000 wine reviews: ~$5.00 - 10,000 wine reviews: ~$50.00 *** ### Run on Apify This scraper runs on the [Apify platform](https://apify.com/?fpr=lulzasaur) — a full-stack web scraping and automation cloud. Sign up for a free account to get started with 30-day trial of all features. [Try Apify free](https://apify.com/?fpr=lulzasaur) ### Related Scrapers More scrapers and data tools by [lulzasaur](https://apify.com/lulzasaur): - [AbeBooks Scraper](https://apify.com/lulzasaur/abebooks-scraper) — Rare and used books - [Bonanza Scraper](https://apify.com/lulzasaur/bonanza-scraper) — Online marketplace listings - [Goodreads Scraper](https://apify.com/lulzasaur/goodreads-scraper) — Book ratings and reviews - [Grailed Scraper](https://apify.com/lulzasaur/grailed-scraper) — Luxury fashion resale - [IMDb Scraper](https://apify.com/lulzasaur/imdb-scraper) — Movie and TV show data - [OfferUp Scraper](https://apify.com/lulzasaur/offerup-scraper) — Local marketplace listings - [Poshmark Scraper](https://apify.com/lulzasaur/poshmark-scraper) — Fashion resale marketplace - [PSA Population Report](https://apify.com/lulzasaur/psa-pop-scraper) — Card grading data - [Reverb Scraper](https://apify.com/lulzasaur/reverb-scraper) — Music gear marketplace - [TCGPlayer Scraper](https://apify.com/lulzasaur/tcgplayer-scraper) — Trading card prices # Actor input Schema ## `searchQueries` (type: `array`): Wine search terms (e.g., 'Bordeaux', 'Pinot Noir', 'Chateau Margaux'). Each query searches wine names, regions, and producers. Leave empty to scrape the latest wines. ## `maxListings` (type: `integer`): Maximum number of wine reviews to scrape across all queries. Set to 0 for unlimited. Each search returns up to 15 wines via SSR; the sitemap is used for additional discovery. ## `scrapeDetails` (type: `boolean`): If enabled, visits each wine's detail page for full tasting notes, scores, grape varieties, reviewer, food pairings, drink window, alcohol %, prices, and more. If disabled, returns basic listing data only (name, score, producer, country, region, vintage). ## `proxyConfiguration` (type: `object`): Proxy settings for avoiding rate limits. Recommended for large-scale runs. ## Actor input object example ```json { "searchQueries": [ "Bordeaux" ], "maxListings": 5, "scrapeDetails": true, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "searchQueries": [ "Bordeaux" ], "maxListings": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/decanter-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 = { "searchQueries": ["Bordeaux"], "maxListings": 5, "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/decanter-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 '{ "searchQueries": [ "Bordeaux" ], "maxListings": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call lulzasaur/decanter-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/decanter-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Decanter Wine Reviews Scraper", "description": "Scrape 106K+ wine reviews from Decanter.com. Extract scores, tasting notes, grape varieties, producers, regions, reviewer names, food pairings, drink windows, and prices. Search by wine name, region, or grape.", "version": "1.0", "x-build-id": "PWrboXYXXk2oeu458" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~decanter-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-decanter-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~decanter-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-decanter-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~decanter-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-decanter-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQueries" ], "properties": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "Wine search terms (e.g., 'Bordeaux', 'Pinot Noir', 'Chateau Margaux'). Each query searches wine names, regions, and producers. Leave empty to scrape the latest wines.", "default": [ "Bordeaux" ], "items": { "type": "string" } }, "maxListings": { "title": "Max Wine Reviews", "minimum": 0, "type": "integer", "description": "Maximum number of wine reviews to scrape across all queries. Set to 0 for unlimited. Each search returns up to 15 wines via SSR; the sitemap is used for additional discovery.", "default": 100 }, "scrapeDetails": { "title": "Scrape Full Details", "type": "boolean", "description": "If enabled, visits each wine's detail page for full tasting notes, scores, grape varieties, reviewer, food pairings, drink window, alcohol %, prices, and more. If disabled, returns basic listing data only (name, score, producer, country, region, vintage).", "default": true }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for avoiding rate limits. Recommended for large-scale runs.", "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 } } } } } } } } } } ```