# Groupon Scraper - Local Deals & Discounts (`lulzasaur/groupon-scraper`) Actor Scrape local deals from Groupon. Get prices, discounts, merchant ratings, locations, and deal links. Filter by city, category, or keyword. 500+ cities, 15+ categories. - **URL**: https://apify.com/lulzasaur/groupon-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 $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 ## Groupon Scraper - Local Deals & Discounts Scrape local deals and discounts from [Groupon.com](https://www.groupon.com). Extract deal prices, original prices, discount percentages, merchant info, ratings, and more across 500+ cities and 15+ categories. ### Features - Scrape deals by **city** and **category** (things to do, food & drink, beauty & spas, etc.) - **Search** for specific deals by keyword - Extract **prices, discounts, promo codes**, and expiration dates - Get **merchant ratings** and review counts - Automatic **multi-category expansion** to fill your result quota - **Deduplication** built-in ### Input | Field | Type | Default | Description | |-------|------|---------|-------------| | `city` | string | `denver` | City slug (e.g. `chicago`, `new-york`, `los-angeles`) | | `category` | select | `things-to-do` | Deal category | | `query` | string | _(empty)_ | Search keyword (overrides city/category) | | `maxResults` | integer | `100` | Maximum deals to return (1-1000) | | `proxyConfiguration` | object | - | Optional proxy configuration | #### Available Categories `things-to-do`, `food-and-drink`, `beauty-and-spas`, `health-and-fitness`, `automotive`, `home-services`, `goods`, `museums`, `retail`, `nightlife`, `concerts`, `fun-and-leisure-activities`, `restaurants`, `massage`, `chiropractor`, `laser-hair-removal` #### Popular Cities `new-york`, `los-angeles`, `chicago`, `houston`, `phoenix`, `philadelphia`, `san-antonio`, `san-diego`, `dallas`, `san-jose`, `austin`, `denver`, `seattle`, `boston`, `nashville`, `miami`, `atlanta`, `portland`, `las-vegas`, `minneapolis` ### Output Each deal includes: ```json { "title": "Two-Hour Trail Ride - National Park Gateway Stables", "price": 82, "originalPrice": 115, "promoPrice": 65.60, "discount": 33, "discountPercent": 29, "promocode": "TOPDEALS", "promoExpiresAt": "2026-04-27T06:59:00.000Z", "currency": "USD", "merchant": "4600 Fall River Road, Estes Park", "merchantRating": 4.9, "reviewCount": 510, "category": "things-to-do", "city": "denver", "imageUrl": "https://img.grouponcdn.com/deal/.../t700x420.webp", "dealUrl": "https://www.groupon.com/deals/national-park-gateway-stables-2", "dealId": "4e0f67d6-2d9a-4567-bf03-2ce9664d4bed", "isSponsored": false, "scrapedAt": "2026-04-25T12:00:00.000Z" } ```` ### How It Works 1. Fetches Groupon category pages via server-side rendered HTML 2. Extracts deal data from embedded JSON in `data-bhd` attributes (Next.js hydration data) 3. If more results are needed, automatically expands to additional categories 4. Deduplicates deals by ID to avoid repeats across categories ### Use Cases - **Price monitoring** — Track local deal prices over time - **Market research** — Analyze discount patterns by city/category - **Deal aggregation** — Build deal comparison tools - **Business intelligence** — Monitor competitor promotions - **Travel planning** — Find best deals in destination cities ### Notes - Groupon serves ~9 deals per category page via SSR - For larger result sets, the scraper automatically crawls multiple categories - Search mode returns deals matching your keyword across all categories - No login required, no anti-bot protection # Actor input Schema ## `city` (type: `string`): City slug for local deals (e.g. 'denver', 'chicago', 'new-york', 'los-angeles', 'san-francisco'). ## `category` (type: `string`): Deal category to scrape. ## `query` (type: `string`): Optional search keyword to find specific deals (e.g. 'spa', 'bowling', 'escape room'). Overrides city/category when set. ## `maxResults` (type: `integer`): Maximum number of deals to return. ## `proxyConfiguration` (type: `object`): Optional proxy to use. ## Actor input object example ```json { "city": "denver", "category": "things-to-do", "query": "", "maxResults": 100 } ``` # 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("lulzasaur/groupon-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 = {} # Run the Actor and wait for it to finish run = client.actor("lulzasaur/groupon-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 '{}' | apify call lulzasaur/groupon-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=lulzasaur/groupon-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Groupon Scraper - Local Deals & Discounts", "description": "Scrape local deals from Groupon. Get prices, discounts, merchant ratings, locations, and deal links. Filter by city, category, or keyword. 500+ cities, 15+ categories.", "version": "1.0", "x-build-id": "43Cox7miSwURg3oNK" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/lulzasaur~groupon-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-lulzasaur-groupon-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/lulzasaur~groupon-scraper/runs": { "post": { "operationId": "runs-sync-lulzasaur-groupon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/lulzasaur~groupon-scraper/run-sync": { "post": { "operationId": "run-sync-lulzasaur-groupon-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "city": { "title": "City", "type": "string", "description": "City slug for local deals (e.g. 'denver', 'chicago', 'new-york', 'los-angeles', 'san-francisco').", "default": "denver" }, "category": { "title": "Category", "enum": [ "things-to-do", "food-and-drink", "beauty-and-spas", "health-and-fitness", "automotive", "home-services", "goods", "museums", "retail", "nightlife", "concerts", "fun-and-leisure-activities", "restaurants", "massage", "chiropractor", "laser-hair-removal" ], "type": "string", "description": "Deal category to scrape.", "default": "things-to-do" }, "query": { "title": "Search Query", "type": "string", "description": "Optional search keyword to find specific deals (e.g. 'spa', 'bowling', 'escape room'). Overrides city/category when set.", "default": "" }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of deals to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Optional proxy to use." } } }, "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 } } } } } } } } } } ```