# Untappd Scraper - Beer Ratings & Check-ins (`lulzasaur/untappd-scraper`) Actor Scrape beer ratings and check-in data from Untappd. Search 10M+ beers with ratings, styles, breweries, check-in counts, and reviews. Perfect for craft beer research. - **URL**: https://apify.com/lulzasaur/untappd-scraper.md - **Developed by:** [lulz bot](https://apify.com/lulzasaur) (community) - **Categories:** Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $5.00 / 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 ## Untappd Beer Scraper Scrape beer ratings, reviews, and details from [Untappd](https://untappd.com), the social beer discovery platform. Extract ratings, ABV, IBU, styles, check-in counts, and more. ### Features - **Top Rated** - Browse Untappd's top rated beers with optional style filter - **Search** - Search for beers by name - **Brewery** - Scrape all beers from a specific brewery page - **Rich data** - ABV, IBU, style, ratings, check-in counts, descriptions, images ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `mode` | string | `top-rated` | Scrape mode: `top-rated`, `search`, or `brewery` | | `query` | string | - | Search term (for search mode) or brewery URL (for brewery mode) | | `style` | string | - | Beer style filter for top-rated mode (e.g. IPA, Stout, Lager) | | `maxResults` | integer | `50` | Maximum number of beers to scrape | | `proxyConfiguration` | object | - | Optional proxy settings | ### Output Each result includes: | Field | Description | |-------|-------------| | `beerName` | Beer name | | `brewery` | Brewery name | | `style` | Beer style (e.g. IPA - American, Stout - Imperial) | | `abv` | Alcohol by volume percentage | | `ibu` | International Bitterness Units | | `rating` | Average rating (0-5 scale) | | `ratingCount` | Number of ratings | | `checkinCount` | Total check-ins (available on detail pages) | | `description` | Beer description (available on detail pages) | | `beerId` | Untappd beer ID | | `imageUrl` | Beer label image URL | | `url` | Untappd beer page URL | | `scrapedAt` | ISO timestamp of when the data was scraped | ### Usage Examples #### Top rated beers ```json { "mode": "top-rated", "maxResults": 50 } ```` #### Search for a beer ```json { "mode": "search", "query": "Pliny the Elder", "maxResults": 20 } ``` #### Top rated IPAs ```json { "mode": "top-rated", "style": "IPA", "maxResults": 100 } ``` #### Scrape a brewery ```json { "mode": "brewery", "query": "https://untappd.com/w/russian-river-brewing-company/3917", "maxResults": 50 } ``` ### How It Works 1. **Top Rated mode**: Scrapes `untappd.com/beer/top_rated` which renders 50 beer items per page with CSS selectors `.beer-item`, `.beer-details`, rating data attributes, and ABV/IBU fields. 2. **Search mode**: Uses Untappd's search page (`/search?q=&type=beer`) to find beers matching the query. 3. **Brewery mode**: Scrapes a brewery's beer list page to get all beers from that brewery. 4. **Pagination**: Follows "Next" links to scrape multiple pages up to the maxResults limit. ### Notes - Untappd uses Cloudflare but does not block scraping (200 responses) - Beer IDs are available via `data-bid` attributes on listing pages - Ratings are on a 0-5 scale (not 0-10) - Top rated page shows 50 beers per page - Check-in counts and descriptions are more reliably available on detail pages # Actor input Schema ## `mode` (type: `string`): Choose how to scrape: top-rated (browse top beers), search (search by name), or brewery (scrape a specific brewery page). ## `query` (type: `string`): For 'search' mode: beer name to search. For 'brewery' mode: full Untappd brewery URL (e.g. https://untappd.com/w/brewery-name/12345). Ignored for 'top-rated'. ## `style` (type: `string`): Optional filter by beer style (e.g. IPA, Stout, Lager). Only applies to top-rated mode. Leave empty for all styles. ## `maxResults` (type: `integer`): Maximum number of beers to scrape. ## `proxyConfiguration` (type: `object`): Optional proxy configuration for requests. ## Actor input object example ```json { "mode": "top-rated", "query": "Pliny the Elder", "maxResults": 50 } ``` # 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 = { "query": "Pliny the Elder" }; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/untappd-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 = { "query": "Pliny the Elder" } # Run the Actor and wait for it to finish run = client.actor("lulzasaur/untappd-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 '{ "query": "Pliny the Elder" }' | apify call lulzasaur/untappd-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/untappd-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Untappd Scraper - Beer Ratings & Check-ins", "description": "Scrape beer ratings and check-in data from Untappd. Search 10M+ beers with ratings, styles, breweries, check-in counts, and reviews. Perfect for craft beer research.", "version": "1.0", "x-build-id": "1ZH7WR9D1p4wQDtgj" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~untappd-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-untappd-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~untappd-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-untappd-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~untappd-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-untappd-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "mode": { "title": "Scrape Mode", "enum": [ "top-rated", "search", "brewery" ], "type": "string", "description": "Choose how to scrape: top-rated (browse top beers), search (search by name), or brewery (scrape a specific brewery page).", "default": "top-rated" }, "query": { "title": "Search Query / Brewery URL", "type": "string", "description": "For 'search' mode: beer name to search. For 'brewery' mode: full Untappd brewery URL (e.g. https://untappd.com/w/brewery-name/12345). Ignored for 'top-rated'." }, "style": { "title": "Beer Style Filter", "type": "string", "description": "Optional filter by beer style (e.g. IPA, Stout, Lager). Only applies to top-rated mode. Leave empty for all styles." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 500, "type": "integer", "description": "Maximum number of beers to scrape.", "default": 50 }, "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 } } } } } } } } } } ```