# Myfave Category Scraper (`getdataforme/myfave-category-scraper`) Actor Effortlessly scrape discounted deals from MyFave, Malaysia's top platform, using keywords and city filters. Extract structured data on prices, outlets, discounts, and images for market research, competitive analysis, or automation.... - **URL**: https://apify.com/getdataforme/myfave-category-scraper.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** Agents, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ## Myfave Category Scraper ### Introduction The Myfave Category Scraper is a powerful Apify Actor designed to extract deal data from MyFave, Malaysia's popular discount platform. It enables users to scrape deals based on search queries and locations, providing structured data for analysis and automation. This tool is ideal for businesses, researchers, and developers seeking to gather insights into discounted offerings efficiently and reliably. ### Features - **Targeted Scraping**: Search for deals using specific keywords like "rm3" or "spa" within selected cities. - **Location-Based Filtering**: Supports city slugs such as "kuala-lumpur" or "penang" for precise geographic targeting. - **Flexible Item Limits**: Set maximum items to scrape, from a few to unlimited, to control data volume. - **Comprehensive Data Extraction**: Captures key details including prices, discounts, outlet info, and images. - **High Reliability**: Built with robust error handling to ensure consistent data retrieval. - **Fast Performance**: Optimized for quick scraping with minimal resource usage. - **JSON Output**: Delivers clean, structured data ready for integration into workflows or databases. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|---------|----------|-----------------------------------------------------------------------------|------------------| | searchQuery | string | Yes | Keyword to search for deals on MyFave (e.g., 'rm3', 'spa', 'food'). | "rm3" | | Location | string | Yes | City slug used by the MyFave API (e.g., 'kuala-lumpur', 'penang'). | "kuala-lumpur" | | maxItems | integer | No | Maximum number of deals to scrape. Set to 0 for unlimited. | 100 | ### Example Usage #### Input Example ```json { "searchQuery": "rm3", "Location": "kuala-lumpur", "maxItems": 10 } ```` #### Output Example ```json [ { "id": 118174, "slug": "shell-rm30-shell-voucher-118174", "name": "RM30 Shell Voucher", "category": "Services", "featured_image": "https://fave-production-main.myfave.gdn/attachments/d5f06655149f67721c9cc5485e2cf359705bd6c5/store/fill/800/500/5c98cbbe5c2f9dfaa7d5edb12d2aa985a00ef88ff30b7c3b5764fbad92d9/activity_image.jpg", "gallery_images": [ "https://fave-production-main.myfave.gdn/attachments/ee1ef4befd07d12fdc23045c2c3aa84933dfe7ea/store/fill/800/500/9341c52dd39f7ac8b27f140f16d24c3a5e4bac1cc3fab29d2a655a6d9a4c/Frame+15302+%281%29.jpg" ], "original_price": 30, "discounted_price": 29.4, "currency": "RM", "discount_percentage": 2, "purchase_count": 33299, "remaining_capacity": 66701, "total_capacity": 100000, "sold_out": false, "flash_deal": false, "boosted": false, "rating": null, "total_outlets": 1154, "outlet": { "id": 29120, "name": "SHELL Rinko (Jalan Maarof) (KLNS)", "distance_km": 1.6, "company_id": 15394, "company_name": "Shell", "company_logo": "https://fave-production-main.myfave.gdn/attachments/7ae6cbda686aa12e5b29c0455fc003d05217dd73/store/fit/800/1000/7639fed14e8bcc634aedb1a4eb18c4f74d5845a59c521aa482f09828606a/logo.jpg", "company_rating": 4.4 }, "share_url": "https://myfave.onelink.me/4252510588?pid=In-App-Share&c=In-App-Share-Offer&is_targeting=true&city&af_dp=fave%3A%2F%2Faccess.kfit.com%2Foffer%3Flisting_id%3D118174&af_web_dp=https%3A%2F%2Fmyfave.com%2Fo%3Flisting_id%3D118174%26country_code%3Dmy%26city%3Dkuala-lumpur%26utm_source%3DIn-App-Share%26utm_medium%3DIn-App-Share-Offer", "url": "https://myfave.com/o?listing_id=118174" } ] ``` ### Use Cases - **Market Research**: Analyze trending deals and pricing trends in specific categories. - **Competitive Intelligence**: Monitor competitors' offerings and discount strategies. - **Price Monitoring**: Track price changes and availability for budgeting or purchasing decisions. - **Content Aggregation**: Build databases of deals for blogs, apps, or newsletters. - **Academic Research**: Study consumer behavior and discount patterns in Malaysia. - **Business Automation**: Integrate scraped data into CRM systems or automated purchasing workflows. ### Installation and Usage 1. Search for "Myfave Category Scraper" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The Actor outputs an array of JSON objects, each representing a deal. Key fields include: `id` (unique identifier), `name` (deal title), `category`, `original_price` and `discounted_price` (in RM), `discount_percentage`, `purchase_count`, `sold_out` status, `outlet` details (with name, distance, and company info), and URLs for sharing or direct access. Images are provided as URLs for featured and gallery photos. This structured format ensures easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! *** **Concise Description**\ Unlock Malaysia's best deals with the Myfave Category Scraper! Effortlessly extract discounted offers from MyFave by keyword and city, delivering structured data on prices, outlets, and availability. Perfect for market research, price monitoring, and competitive analysis. Features fast, reliable scraping with flexible limits and JSON output. Start scraping today to gain insights and automate your workflows! (148 characters) # Actor input Schema ## `searchQuery` (type: `string`): Keyword to search for deals on MyFave (e.g. 'rm3', 'spa', 'food'). ## `Location` (type: `string`): City slug used by the MyFave API (e.g. 'kuala-lumpur', 'penang', 'johor-bahru'). ## `maxItems` (type: `integer`): Maximum number of deals to scrape. Set to 0 for unlimited. ## Actor input object example ```json { "searchQuery": "rm3", "Location": "kuala-lumpur", "maxItems": 100 } ``` # Actor output Schema ## `results` (type: `string`): No description # 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("getdataforme/myfave-category-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("getdataforme/myfave-category-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 getdataforme/myfave-category-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/myfave-category-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Myfave Category Scraper", "description": "Effortlessly scrape discounted deals from MyFave, Malaysia's top platform, using keywords and city filters. Extract structured data on prices, outlets, discounts, and images for market research, competitive analysis, or automation....", "version": "0.0", "x-build-id": "PeUn56lfXFO4cLJXV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~myfave-category-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-myfave-category-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~myfave-category-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-myfave-category-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~myfave-category-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-myfave-category-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery", "Location" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search for deals on MyFave (e.g. 'rm3', 'spa', 'food').", "default": "rm3" }, "Location": { "title": "Location (City ID)", "type": "string", "description": "City slug used by the MyFave API (e.g. 'kuala-lumpur', 'penang', 'johor-bahru').", "default": "kuala-lumpur" }, "maxItems": { "title": "Max Items", "minimum": 0, "type": "integer", "description": "Maximum number of deals to scrape. Set to 0 for unlimited.", "default": 100 } } }, "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 } } } } } } } } } } ```