# Groupon Scraper (`ruocco-l/groupon-scraper`) Actor Scrape Groupon to find the latest offers on your favorite activities and products! - **URL**: https://apify.com/ruocco-l/groupon-scraper.md - **Developed by:** [Luigi Ruocco](https://apify.com/ruocco-l) (community) - **Categories:** E-commerce, Travel - **Stats:** 58 total users, 3 monthly users, 100.0% runs succeeded, 3 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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 ### What does the Groupon Scraper do? This Actor allows you to scrape information about products listed on [Groupon](https://www.groupon.com/). ### How to scrape Groupon? Much like the Groupon website itself, you can select a keyword to search in a specific location. This scraper enhance your searching possibilities by allowing you to search for multiple keywords at the same time in a specific location. > 📝 **Note:** The location are restricted to US and Canada. ### Sample Output ```` { "uuid": "c109e449-c692-4b47-ae5d-0437e4f244a5", "url": "https://www.groupon.com/deals/science-world-4", "title": "Up to 15% Off General Admission Ticket to Science World!", "currencySymbol": "C$", "currencyCode": "CAD", "originalPrice": 24.83, "currentPrice": 21, "discountPercentage": 15, "productRating": 4.6, "productRatingsCount": 915, "hasLimitedSaleEnabled": true, "limitedSalePrice": 18.06, "promoCode": "EARLYBIRD24", "promoExpirationDate": "2024-11-22T23:59:00-08:00", "badges": \[ "Top Seller", "Trending", "Popular Gift", "Black Friday" ], "image": "https://img.grouponcdn.com/deal/4cdzbHXM9LbKSrZUfzcRwjAsNM5/4c-1920x1152/v1/t300x182.webp", "merchantName": "Science World", "merchantRating": null, "locationAddress": "1455 Quebec Street, Vancouver", "locationCoordinates": "49.273376, 49.273376", "input": { "keyword": "family", "location": "vancouver, canada" } }, ```` ### Your Feedback We are constantly working on improving performance of our Actors and delivering more useful data for you. If you have a technical feedback or would like to see some improvement on the scraper, please create an issue on the Acotr's [Issues tab](https://console.apify.com/actors/oB6jaCJ4wV9xNRh4O/issues). # Actor input Schema ## `keywords` (type: `array`): Keywords to search ## `locations` (type: `array`): Specify a location, possibly in a "Zipcode, Neighborhood, City" format. Your results will depend on the location. ## `maxProductsPerSearch` (type: `integer`): Use this input to limit the number of returned products per search. Every combination of keyword and location is considered a separate search. Leave this empty to scrape all products. ## `sortMethod` (type: `string`): You can specify the sorting method for the searches. It defaults to Relevance. ## Actor input object example ```json { "keywords": [ "family" ], "locations": [ "90210, Trousdale Estates, Beverly Hills" ], "maxProductsPerSearch": 10, "sortMethod": "relevance" } ```` # 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 = { "keywords": [ "family" ], "locations": [ "90210, Trousdale Estates, Beverly Hills" ], "maxProductsPerSearch": 10 }; // Run the Actor and wait for it to finish const run = await client.actor("ruocco-l/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 = { "keywords": ["family"], "locations": ["90210, Trousdale Estates, Beverly Hills"], "maxProductsPerSearch": 10, } # Run the Actor and wait for it to finish run = client.actor("ruocco-l/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 '{ "keywords": [ "family" ], "locations": [ "90210, Trousdale Estates, Beverly Hills" ], "maxProductsPerSearch": 10 }' | apify call ruocco-l/groupon-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=ruocco-l/groupon-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Groupon Scraper", "description": "Scrape Groupon to find the latest offers on your favorite activities and products!", "version": "0.0", "x-build-id": "q7HzDPax5IO1RWvhm" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/ruocco-l~groupon-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-ruocco-l-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/ruocco-l~groupon-scraper/runs": { "post": { "operationId": "runs-sync-ruocco-l-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/ruocco-l~groupon-scraper/run-sync": { "post": { "operationId": "run-sync-ruocco-l-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", "required": [ "keywords", "locations" ], "properties": { "keywords": { "title": "Starting keywords", "type": "array", "description": "Keywords to search", "items": { "type": "string" } }, "locations": { "title": "Location to scrape", "type": "array", "description": "Specify a location, possibly in a \"Zipcode, Neighborhood, City\" format. Your results will depend on the location.", "items": { "type": "string" } }, "maxProductsPerSearch": { "title": "Max number of products to be scraped per search", "minimum": 1, "type": "integer", "description": "Use this input to limit the number of returned products per search. Every combination of keyword and location is considered a separate search. Leave this empty to scrape all products." }, "sortMethod": { "title": "Sort method", "enum": [ "relevance", "price:asc", "price:desc", "distance", "rating" ], "type": "string", "description": "You can specify the sorting method for the searches. It defaults to Relevance.", "default": "relevance" } } }, "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 } } } } } } } } } } ```