# Mydealz Scraper (`saswave/mydealz-scraper`) Actor High-precision data extraction tool designed for mydealz.de, Germany's largest social shopping community. It allows you to monitor the latest bargains, track price errors, and analyze consumer trends by capturing the full technical metadata of deals, vouchers, and discussions. - **URL**: https://apify.com/saswave/mydealz-scraper.md - **Developed by:** [SASWAVE](https://apify.com/saswave) (community) - **Categories:** E-commerce, SEO tools, Social media - **Stats:** 3 total users, 2 monthly users, 84.6% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing from $0.80 / 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. Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have. 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 ### Mydealz Scraper High-precision data extraction tool designed for mydealz.de, Germany's largest social shopping community. It allows you to monitor the latest bargains, track price errors, and analyze consumer trends by capturing the full technical metadata of deals, vouchers, and discussions. ### FEATURES Comprehensive Deal Intelligence: Extract granular details including price, nextBestPrice (comparison price), and shipping costs. Temperature & Sentiment Tracking: Monitor the "Hotness" of a deal via the temperature and temperatureLevel fields (e.g., Hot, Super Hot). Voucher & Coupon Capture: Automatically retrieve voucherCode data and affiliate-related metadata. Real-time Monitoring: Capture publishedAt and updatedAt timestamps to stay ahead of expiring offers. Merchant Analytics: Identify which vendors (e.g., AliExpress, Amazon, MediaMarkt) are currently trending. User & Community Insights: Scrape data on the deal posters (username, userId) and the engagement level (commentCount). Bilingual Meta-Data: Handles German-specific categories and groups (e.g., "Elektronik", "Garten & Baumarkt"). ### USE CASES Price Monitoring & Alerts: Build a system that notifies you the moment a specific product (like an "Anker SOLIX Solarbank") hits a certain temperature or price threshold. Competitor Analysis: Track which merchants are offering the most aggressive discounts in specific categories like Electronics or Fashion. Affiliate Marketing Strategy: Analyze which types of deals gain the most traction and "Hot" votes to optimize your own promotional content. Market Research: Study historical deal data to identify seasonal discount patterns (e.g., Black Friday trends in Germany). Automated Deal Aggregators: Populate your own price-comparison site or Telegram bot with the most recent and popular deals from the German market. ### OUTPUT ```json { "threadId": "2769093", "product_link": "https://www.vidaxl.de/e/vidaxl-nachttische-2-stk.-senfgelb-36x39x605-cm-stahl/8721102633485.html?utm_source=www.mydealz.de&utm_campaign=idealo", "titleSlug": "preisfehler-nachttisch-gelb-2-fur-1", "title": "Preisfehler Nachttisch Gelb: 2 fΓΌr <1", "currentUserVoteDirection": null, "commentCount": 25, "status": "Activated", "isExpired": false, "isNew": false, "isPinned": false, "isTrending": null, "bookmarked": false, "isLocal": false, "temperature": -46.65, "temperatureLevel": "Cold1", "type": "Deal", "nsfw": false, "deletedAt": null, "isAffiliateTrackingDisabled": false, "isAffiliateDescriptionDisabled": false, "isEditLocked": false, "isExpireLocked": false, "contentLockedBy": null, "isSpamLocked": false, "isLocked": false, "isNewsletterPicked": null, "isCommentsModerationOn": null, "isPushed": null, "isCommunityFavorite": null, "isCategoryCommunityFavorite": null, "isTopDeal": null, "isCategoryTopDeal": null, "pinId": null, "bumpedAt": "", "bumpedAndReset": false, "publishedAt": "2026-04-23 10:36:11", "updatedAt": "2026-04-23 10:36:10", "voucherCode": "", "link": "", "linkHost": "www.vidaxl.de", "shareableLink": "https://www.mydealz.de/share-deal/2769093", "merchant": { "merchantId": 3230, "merchantName": "vidaXL", "merchantUrlName": "vidaxl-de", "isMerchantPageEnabled": true, "avatar": { "path": "merchants/raw/avatar", "name": "3230_1", "slotId": "avatar", "width": 0, "height": 0, "version": 1, "unattached": false, "uid": "3230_1.raw", "ext": "raw" } }, "mainGroup": { "threadGroupId": 4, "threadGroupName": "Home & Living", "threadGroupUrlName": "home-living" }, "mainImage": { "path": "threads/raw/KS8SH", "name": "2769093_1", "slotId": "KS8SH", "width": 458, "height": 398, "version": 1, "unattached": false, "uid": "2769093_1.raw", "ext": "raw" }, "price": 66.98, "nextBestPrice": 149.98, "percentage": 0, "discountType": null, "shipping": { "isFree": 0, "price": 4.99 }, "user": { "userId": 2267918, "username": "AntonCoral", "title": "", "avatar": null, "persona": { "text": null, "type": null }, "isBanned": false, "isDeletedOrPendingDeletion": false, "isUserProfileHidden": false }, "startDate": null, "selectedLocations": { "isNational": false }, "endDate": null, "isExclusive": false, "isVoucherCodeHidden": false, "claimCodeCampaignId": null, "claimCodeCampaign": null, "canVote": false, "scheduledReleaseDate": { "timestamp": "" }, "isHot": false, "pickedAt": 0, "hotDate": "", "isExcludedFromAds": false, "threadUpdates": [], "unread": null, "keywords": null, "keywordNames": null, "isSuperHot": null } ```` ### πŸ›Ÿ SUPPORT Share your runs with the developer team and create issues on error to help us improve actor quality. You might discover edge case we didn't test yet We stay available anytime # Actor input Schema ## `urls` (type: `array`): Search url to extract results from ## `max_page` (type: `integer`): Maximum page per search ## Actor input object example ```json { "urls": [ "https://www.mydealz.de/hot" ], "max_page": 1 } ``` # 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 = { "urls": [ "https://www.mydealz.de/hot" ] }; // Run the Actor and wait for it to finish const run = await client.actor("saswave/mydealz-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`πŸ’Ύ 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); }); // πŸ“š Want to learn more πŸ“–? Go to β†’ 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 = { "urls": ["https://www.mydealz.de/hot"] } # Run the Actor and wait for it to finish run = client.actor("saswave/mydealz-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("πŸ’Ύ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # πŸ“š Want to learn more πŸ“–? Go to β†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "urls": [ "https://www.mydealz.de/hot" ] }' | apify call saswave/mydealz-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=saswave/mydealz-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Mydealz Scraper", "description": "High-precision data extraction tool designed for mydealz.de, Germany's largest social shopping community. It allows you to monitor the latest bargains, track price errors, and analyze consumer trends by capturing the full technical metadata of deals, vouchers, and discussions.", "version": "0.0", "x-build-id": "ncROJF0rXcLELMAoc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/saswave~mydealz-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-saswave-mydealz-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/saswave~mydealz-scraper/runs": { "post": { "operationId": "runs-sync-saswave-mydealz-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/saswave~mydealz-scraper/run-sync": { "post": { "operationId": "run-sync-saswave-mydealz-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "urls" ], "properties": { "urls": { "title": "Search urls", "type": "array", "description": "Search url to extract results from", "items": { "type": "string" } }, "max_page": { "title": "Maximum page", "minimum": 0, "type": "integer", "description": "Maximum page per search", "default": 1 } } }, "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 } } } } } } } } } } ```