# Connosr Whisky Reviews Scraper (`lulzasaur/connosr-scraper`) Actor Scrape whisky reviews and ratings from Connosr. Get tasting notes (nose, palate, finish), scores, distillery info, ABV, and reviewer data. Browse by category or search for specific whiskies. - **URL**: https://apify.com/lulzasaur/connosr-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 $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 ## Connosr Whisky Reviews Scraper Scrape whisky reviews, ratings, and tasting notes from [Connosr](https://www.connosr.com) -- the whisky review and rating community platform. ### What data can you extract? - **Whisky details**: Name, distillery, region, type (Scotch/Japanese/American/Irish/Canadian/World), age, ABV, bottling - **Review scores**: Individual review scores (out of 100), average ratings - **Tasting notes**: Nose, palate, finish, and balance descriptions (with `scrapeDetails` enabled) - **Reviewer info**: Reviewer username, review date - **Full URLs**: Direct links to reviews and product pages ### How to use #### Search by distillery or whisky name Enter distillery names like `lagavulin`, `ardbeg`, `macallan`, or specific expressions like `lagavulin 16`. #### Browse by category Use category keywords to browse all whiskies of a type: - `scotch` - Scotch whisky - `japanese` - Japanese whisky - `american` - American whiskey (bourbon, rye, etc.) - `irish` - Irish whiskey - `canadian` - Canadian whisky - `world` - World whisky #### Special browsing modes - `latest` or `reviews` - Browse the latest reviews - `top` or `top-rated` or `best` - Browse top rated whiskies #### Full tasting notes Enable **Scrape Full Details** to visit each review's detail page and extract: - Nose descriptions - Palate/taste descriptions - Finish descriptions - Balance notes - Individual review scores - Precise metadata (region, ABV, bottling info) This is slower but provides much richer data. ### Input examples #### Search for a specific distillery ```json { "searchQueries": ["lagavulin"], "maxListings": 50, "scrapeDetails": true } ```` #### Browse Scotch whisky reviews ```json { "searchQueries": ["scotch"], "maxListings": 100, "scrapeDetails": false } ``` #### Multiple searches ```json { "searchQueries": ["ardbeg", "laphroaig", "bowmore"], "maxListings": 30, "scrapeDetails": true } ``` #### Browse latest reviews with full details ```json { "searchQueries": ["latest"], "maxListings": 20, "scrapeDetails": true } ``` ### Output example Each result contains the following fields: | Field | Type | Description | |-------|------|-------------| | `whiskyName` | string | Full whisky name and expression | | `distillery` | string | Distillery/brand name | | `region` | string | Production region (e.g., Islay, Speyside, Highland) | | `type` | string | Whisky type (Scotch, Japanese, American, Irish, Canadian, World) | | `score` | number | Review score (typically 0-100) | | `nose` | string | Nose tasting notes (with scrapeDetails) | | `palate` | string | Palate/taste tasting notes (with scrapeDetails) | | `finish` | string | Finish tasting notes (with scrapeDetails) | | `reviewer` | string | Reviewer username | | `reviewDate` | string | Date of the review | | `bottling` | string | Bottling information (e.g., Distillery Bottling) | | `age` | string | Age statement (e.g., "16 Year Old") | | `abv` | number | Alcohol by volume percentage | | `url` | string | Direct URL to the review or product page | | `searchQuery` | string | The search query that found this result | | `scrapedAt` | string | ISO timestamp of when the data was scraped | ### Pricing This Actor uses pay-per-event pricing. You are charged per result scraped. ### Tips - Use `scrapeDetails: false` for a quick overview of whiskies and scores - Use `scrapeDetails: true` when you need full tasting notes and detailed metadata - Category browsing (`scotch`, `japanese`, etc.) is great for discovering whiskies by type - The `top-rated` keyword gives you the highest-rated whiskies across all categories - Combine multiple distillery names in `searchQueries` to compare # Actor input Schema ## `searchQueries` (type: `array`): Whisky names, distilleries, or categories to search. Use distillery names ("lagavulin", "ardbeg"), category keywords ("scotch", "japanese", "american", "irish", "canadian", "world"), or special keywords ("latest", "top-rated"). ## `maxListings` (type: `integer`): Maximum number of reviews to scrape across all queries (1-1000). ## `scrapeDetails` (type: `boolean`): Visit each review's detail page to get full tasting notes (nose, palate, finish), scores, and metadata. Slower but much more data. ## `proxyConfiguration` (type: `object`): Optional proxy configuration for requests. ## Actor input object example ```json { "searchQueries": [ "lagavulin" ], "maxListings": 100, "scrapeDetails": false } ``` # 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": [ "lagavulin" ] }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/connosr-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": ["lagavulin"] } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/connosr-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": [ "lagavulin" ] }' | apify call lulzasaur/connosr-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/connosr-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Connosr Whisky Reviews Scraper", "description": "Scrape whisky reviews and ratings from Connosr. Get tasting notes (nose, palate, finish), scores, distillery info, ABV, and reviewer data. Browse by category or search for specific whiskies.", "version": "1.0", "x-build-id": "pvOLdCx05g2VBdUQt" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~connosr-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-connosr-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~connosr-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-connosr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~connosr-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-connosr-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQueries": { "title": "Search Queries", "type": "array", "description": "Whisky names, distilleries, or categories to search. Use distillery names (\"lagavulin\", \"ardbeg\"), category keywords (\"scotch\", \"japanese\", \"american\", \"irish\", \"canadian\", \"world\"), or special keywords (\"latest\", \"top-rated\").", "default": [ "lagavulin" ], "items": { "type": "string" } }, "maxListings": { "title": "Max Listings", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of reviews to scrape across all queries (1-1000).", "default": 100 }, "scrapeDetails": { "title": "Scrape Full Details", "type": "boolean", "description": "Visit each review's detail page to get full tasting notes (nose, palate, finish), scores, and metadata. Slower but much more data.", "default": false }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Optional proxy configuration for requests." } } }, "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 } } } } } } } } } } ```