# Whisky Advocate Scraper (`lulzasaur/whiskyadvocate-scraper`) Actor Scrapes whisky reviews and ratings from WhiskyAdvocate.com. Extracts whisky name, score, price, style, reviewer, issue, review text, and more from 7,900+ expert reviews. - **URL**: https://apify.com/lulzasaur/whiskyadvocate-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** E-commerce - **Stats:** 1 total users, 0 monthly users, 78.6% 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 ## Whisky Advocate Scraper Scrapes whisky reviews and ratings from [WhiskyAdvocate.com](https://whiskyadvocate.com/ratings-reviews/), the leading whisky rating authority with 7,900+ expert reviews. ### Features - Extracts whisky name, score (75-100), price, style, issue, ABV, and image URL from the ratings database - Filter by score range, price range, whisky style, brand, or keyword search - Optionally scrape detail pages for full review text and reviewer name - Handles the site's 2,000-item-per-request limit by automatically splitting queries across score ranges - Deduplicates results across overlapping ranges ### Output Fields | Field | Type | Description | |-------|------|-------------| | `whiskyName` | string | Full name of the whisky | | `score` | integer | Review score (75-100) | | `price` | string | Listed price (e.g. "$50") | | `priceNumeric` | number | Numeric price, null if unavailable | | `style` | string | Category (e.g. "Single Malt Scotch") | | `brand` | string | Brand/distillery name | | `issue` | string | Publication issue (e.g. "Winter 2024") | | `reviewer` | string | Reviewer name (detail page only) | | `reviewText` | string | Full tasting notes (detail page only) | | `abv` | string | Alcohol by volume | | `imageUrl` | string | Bottle image URL | | `detailUrl` | string | Review detail page URL | | `scrapedAt` | string | ISO timestamp | ### Score Guide - **95-100**: Classic - a great whisky - **90-94**: Outstanding - superior character and style - **85-89**: Very Good - special qualities - **80-84**: Good - solid, well-made - **75-79**: Mediocre - drinkable, may have minor flaws ### Input Parameters - `maxResults` (number, default 100): Maximum reviews to scrape. Set to 0 for all. - `minScore` (number, default 75): Minimum score filter. - `maxScore` (number, default 100): Maximum score filter. - `style` (string): Filter by style (e.g. "Bourbon/Tennessee Whiskey"). - `brand` (string): Filter by brand (e.g. "Macallan"). - `minPrice` (number): Minimum price filter. - `maxPrice` (number): Maximum price filter. - `search` (string): Keyword search. - `scrapeDetails` (boolean, default false): Fetch detail pages for full review text. ### Usage ```json { "maxResults": 50, "minScore": 90, "style": "Single Malt Scotch", "scrapeDetails": true } ```` # Actor input Schema ## `maxResults` (type: `integer`): Maximum number of reviews to scrape. Set to 0 for all reviews. ## `minScore` (type: `integer`): Minimum review score (75-100). Whisky Advocate scores range from 75 (mediocre) to 100 (classic). ## `maxScore` (type: `integer`): Maximum review score (75-100). ## `style` (type: `string`): Filter by whisky style/category (e.g. 'Single Malt Scotch', 'Bourbon/Tennessee Whiskey', 'Rye Whiskey', 'Japanese Single Malt'). Leave empty for all styles. ## `brand` (type: `string`): Filter by brand/distillery (e.g. 'Macallan', 'Buffalo Trace', 'Ardbeg'). Leave empty for all brands. ## `minPrice` (type: `integer`): Minimum price filter ($0-$1000). ## `maxPrice` (type: `integer`): Maximum price filter ($0-$1000). ## `scrapeDetails` (type: `boolean`): Fetch each review's detail page to get the full review text, reviewer name, and additional details. Slower but more complete data. ## `search` (type: `string`): Search reviews by keyword (e.g. 'peated', 'sherry cask', 'limited edition'). ## `proxyConfiguration` (type: `object`): Proxy for avoiding rate limits. Residential proxy recommended. ## Actor input object example ```json { "maxResults": 5, "minScore": 75, "maxScore": 100, "style": "", "brand": "", "scrapeDetails": false, "search": "" } ``` # API You can run this Actor programmatically using our API. Below are code examples in JavaScript, Python, and CLI, as well as the OpenAPI specification and MCP server setup. ## JavaScript example ```javascript import { ApifyClient } from 'apify-client'; // Initialize the ApifyClient with your Apify API token // Replace the '' with your token const client = new ApifyClient({ token: '', }); // Prepare Actor input const input = { "maxResults": 5 }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/whiskyadvocate-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`💾 Check your data here: https://console.apify.com/storage/datasets/${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 = { "maxResults": 5 } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/whiskyadvocate-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 '{ "maxResults": 5 }' | apify call lulzasaur/whiskyadvocate-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/whiskyadvocate-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Whisky Advocate Scraper", "description": "Scrapes whisky reviews and ratings from WhiskyAdvocate.com. Extracts whisky name, score, price, style, reviewer, issue, review text, and more from 7,900+ expert reviews.", "version": "1.0", "x-build-id": "QmHRjPMY9qWOKdzC5" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~whiskyadvocate-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-whiskyadvocate-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~whiskyadvocate-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-whiskyadvocate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~whiskyadvocate-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-whiskyadvocate-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "maxResults": { "title": "Max Results", "minimum": 0, "type": "integer", "description": "Maximum number of reviews to scrape. Set to 0 for all reviews.", "default": 100 }, "minScore": { "title": "Minimum Score", "minimum": 75, "maximum": 100, "type": "integer", "description": "Minimum review score (75-100). Whisky Advocate scores range from 75 (mediocre) to 100 (classic).", "default": 75 }, "maxScore": { "title": "Maximum Score", "minimum": 75, "maximum": 100, "type": "integer", "description": "Maximum review score (75-100).", "default": 100 }, "style": { "title": "Whisky Style", "type": "string", "description": "Filter by whisky style/category (e.g. 'Single Malt Scotch', 'Bourbon/Tennessee Whiskey', 'Rye Whiskey', 'Japanese Single Malt'). Leave empty for all styles.", "default": "" }, "brand": { "title": "Brand", "type": "string", "description": "Filter by brand/distillery (e.g. 'Macallan', 'Buffalo Trace', 'Ardbeg'). Leave empty for all brands.", "default": "" }, "minPrice": { "title": "Minimum Price", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Minimum price filter ($0-$1000)." }, "maxPrice": { "title": "Maximum Price", "minimum": 0, "maximum": 1000, "type": "integer", "description": "Maximum price filter ($0-$1000)." }, "scrapeDetails": { "title": "Scrape Detail Pages", "type": "boolean", "description": "Fetch each review's detail page to get the full review text, reviewer name, and additional details. Slower but more complete data.", "default": false }, "search": { "title": "Keyword Search", "type": "string", "description": "Search reviews by keyword (e.g. 'peated', 'sherry cask', 'limited edition').", "default": "" }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Proxy for avoiding rate limits. Residential proxy recommended." } } }, "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 } } } } } } } } } } ```