# Matas Scraper — Danish Health & Beauty Products & Prices (`studio-amba/matas-scraper`) Actor Scrape products from Matas.dk, Denmark's largest health and beauty chain with 260+ stores. Skincare, makeup, vitamins, personal care, and wellness. - **URL**: https://apify.com/studio-amba/matas-scraper.md - **Developed by:** [Jelle Desramaults](https://apify.com/studio-amba) (community) - **Categories:** E-commerce - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing Pay per event 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 ## Matas Scraper Extract products, prices, ratings, and beauty data from Matas.dk — Denmark's leading health, beauty, and pharmacy retailer with 260+ stores. ### What is Matas Scraper? Matas is Denmark's dominant beauty and health retailer, operating over 260 stores nationwide and a comprehensive online shop. Their catalog spans premium skincare, makeup, haircare, fragrances, vitamins, natural health products, and personal care — from luxury brands like Clinique and Estee Lauder to Danish favorites and Matas' own private-label products. This scraper crawls Matas.dk's search results and product detail pages, extracting structured data from JSON-LD markup and HTML. It handles search queries, category browsing, pagination, and product detail enrichment automatically. **Common use cases:** - **Nordic beauty market intelligence** — Track product launches, pricing, and brand positioning in the Danish beauty market - **Competitive pricing analysis** — Compare Matas prices against other Nordic retailers like Normal, Kicks, or online pharmacies - **Skincare & cosmetics research** — Build datasets of beauty products with ratings, prices, and brand information for trend analysis - **Private-label monitoring** — Track Matas' own-brand products and their pricing relative to branded alternatives - **Cross-border price comparison** — Compare Danish health and beauty prices (in DKK) against German, Belgian, or other European markets ### What data does Matas Scraper extract? - 🧴 **Product name & brand** — Full product name with brand attribution - 💰 **Price in DKK** — Current price and original/sale price when applicable - ⭐ **Ratings & reviews** — Customer rating (normalized to 5-point scale) and review count - 📦 **Stock availability** — Whether the product is in stock, available online, or pre-order - 🏷️ **Product identifiers** — EAN/GTIN barcode, SKU, and MPN where available - 🗂️ **Category & breadcrumbs** — Product category extracted from page navigation - 🖼️ **Product images** — Primary image and gallery URLs when available - 📝 **Product description** — Cleaned text description stripped of HTML ### How to scrape Matas.dk #### Search by keyword Enter any search term in Danish or English — "shampoo", "mascara", "solcreme" (sunscreen), "vitaminer" (vitamins). The scraper fetches search results from Matas.dk's search page. #### Browse by category Paste a Matas category URL like `https://www.matas.dk/hudpleje` (skincare) or `https://www.matas.dk/makeup` to scrape all products in that section. #### Input parameters | Field | Type | Default | Description | |-------|------|---------|-------------| | `searchQuery` | String | `shampoo` | Search keyword (e.g., "mascara", "solcreme") | | `categoryUrl` | String | — | Matas.dk category URL to scrape | | `maxResults` | Integer | 100 | Maximum products to return (up to 50,000) | | `proxyConfiguration` | Object | — | Proxy settings for better reliability | **Tip:** For best results, use Danish search terms. Matas.dk's search works well with Danish product names and categories. ### Output ```json { "name": "CeraVe Moisturising Cream 340 g", "brand": "CeraVe", "price": 129.95, "originalPrice": 159.95, "currency": "DKK", "ean": "3337875597395", "sku": "MAT-87539", "inStock": true, "rating": 4.6, "reviewCount": 892, "url": "https://www.matas.dk/cerave-moisturising-cream-340g", "imageUrl": "https://www.matas.dk/media/catalog/product/cerave-moisturising-cream.jpg", "description": "CeraVe Moisturising Cream er en fugtighedscreme til toer til meget toer hud. Indeholder tre essentielle ceramider og hyaluronsyre.", "category": "Hudpleje", "categories": ["Hudpleje", "Ansigtspleje", "Fugtighedscreme"], "scrapedAt": "2026-04-03T10:15:00.000Z" } ```` ### How much does it cost? Matas Scraper uses Cheerio-based crawling (no browser) for both listing and product pages. Product detail pages provide richer data through JSON-LD extraction. | Volume | Estimated CU | Estimated Cost | |--------|-------------|----------------| | 50 products | ~0.03 CU | ~$0.02 | | 200 products | ~0.1 CU | ~$0.05 | | 1,000 products | ~0.5 CU | ~$0.25 | | 5,000 products | ~2.5 CU | ~$1.25 | Costs increase slightly with product detail page crawling. Actual costs depend on your Apify plan. ### Can I integrate? Yes. Connect Matas product data to your existing workflows: - **Google Sheets** — Track Danish beauty product prices in a shared spreadsheet - **Webhooks** — Get notified when scraping completes or when specific products change price - **Zapier / Make / n8n** — Automate data flows from Matas into your tools - **Amazon S3 / Google Cloud** — Store beauty product datasets for long-term analysis - **Slack / Email** — Set up price drop alerts on watched products ### Can I use it as an API? Yes. Call the scraper from your code and process Danish beauty data programmatically. #### Python ```python from apify_client import ApifyClient client = ApifyClient("YOUR_API_TOKEN") run = client.actor("studio-amba/matas-scraper").call(run_input={ "searchQuery": "solcreme", "maxResults": 100, }) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): price_eur = round(item['price'] / 7.46, 2) ## DKK to EUR estimate print(f"{item['brand']} — {item['name']}: {item['price']} DKK (~{price_eur} EUR)") ``` #### JavaScript ```javascript import { ApifyClient } from 'apify-client'; const client = new ApifyClient({ token: 'YOUR_API_TOKEN' }); const run = await client.actor('studio-amba/matas-scraper').call({ searchQuery: 'solcreme', maxResults: 100, }); const { items } = await client.dataset(run.defaultDatasetId).listItems(); items.forEach(item => { console.log(`${item.brand} — ${item.name}: ${item.price} DKK`); }); ``` ### FAQ **Why DKK instead of EUR?** Denmark uses the Danish Krone (DKK), not the Euro. All Matas prices are in DKK. The exchange rate is approximately 1 EUR = 7.46 DKK (fixed within a narrow band due to Denmark's ERM II peg). **Does Matas sell prescription medicines?** No. Matas is a health and beauty retailer, not a licensed pharmacy. They sell OTC health products, vitamins, supplements, skincare, and cosmetics — but no prescription medicines. For prescription drug data, see our Farmaline or Shop Apotheke scrapers. **Can I scrape product reviews?** The scraper extracts aggregate rating and review count. Individual review text is not currently extracted but could be added as a feature. Contact us if you need full review text. **How does the scraper handle Matas product pages?** The scraper first extracts product URLs from search/category listing pages, then visits each product page individually to get rich JSON-LD data (ratings, EAN, brand, description). If JSON-LD is not available, it falls back to HTML parsing. **Does Matas have a loyalty program that affects prices?** Matas has the "Club Matas" loyalty program, but loyalty prices are only visible when logged in. The scraper extracts public (non-member) prices only. **Can I search in English?** Matas.dk's search is optimized for Danish. English brand names work (e.g., "CeraVe", "L'Oreal"), but product categories and descriptions are in Danish. Use Danish terms for category searches. **What are the most popular Matas product categories?** Matas is strongest in skincare ("hudpleje"), makeup ("makeup"), haircare ("haarpleje"), fragrances ("parfume"), vitamins ("vitaminer"), sun care ("solpleje"), and personal hygiene. They also carry a growing range of organic and natural products ("naturlig pleje"). **How does Matas handle sale prices?** When a product is on sale, the scraper captures both the current selling price in the `price` field and the original price in the `originalPrice` field. Matas runs regular promotional campaigns, especially around Danish holidays and seasonal transitions. The scraper detects strikethrough/old prices from both JSON-LD data and HTML markup. ### Tips for Nordic beauty market analysis Matas data is particularly valuable for beauty and personal care market research: 1. **Track seasonal trends** — Danish beauty buying patterns shift dramatically with seasons. Sunscreen ("solcreme") peaks in spring, skincare ("hudpleje") in winter. Schedule monthly runs to capture these cycles. 2. **Compare DKK to EUR pricing** — Denmark's fixed exchange rate to the Euro (approximately 7.46 DKK = 1 EUR) makes cross-border price comparison straightforward. Compare Matas prices to the same brands on dm.de or Farmaline.be. 3. **Monitor brand performance** — Use the `brand` field to track how many products each brand has listed, their average pricing, and their rating distribution. This reveals which brands are gaining or losing shelf space. 4. **Use ratings as quality signals** — Products with 100+ reviews and 4.5+ ratings are strong performers. Filter for these to identify top-selling items in each category. 5. **Combine search and category approaches** — Use `searchQuery` for specific products (brand names, ingredients) and `categoryUrl` for broad category sweeps. ### Limitations - Matas.dk uses a modern JavaScript-heavy frontend; the Cheerio-based scraper extracts data from HTML and JSON-LD, which covers most products but may miss some dynamically loaded content - Pagination relies on detecting "next page" links in the HTML, which may not work for all page layouts - Club Matas member prices and exclusive offers are not accessible through public scraping - Product availability may differ between online and physical stores - The scraper does not extract ingredient lists or detailed product specifications beyond what JSON-LD provides ### Other pharmacy scrapers Expand your health and beauty data coverage across Europe: - [Farmaline Scraper](https://apify.com/studio-amba/farmaline-scraper) — Belgium's largest online pharmacy (70,000+ products, bilingual NL/FR) - [dm Scraper](https://apify.com/studio-amba/dm-scraper) — Germany's largest drugstore chain (beauty, health, household) - [Shop Apotheke Scraper](https://apify.com/studio-amba/shopapotheke-scraper) — Europe's leading online pharmacy (DE/AT/CH/BE/FR/IT) - [Viata Scraper](https://apify.com/studio-amba/viata-scraper) — Belgian online pharmacy with health and wellness products - [Apotheek.be Scraper](https://apify.com/studio-amba/apotheek-scraper) — Belgian pharmacy directory with locations and opening hours - [Multipharma Scraper](https://apify.com/studio-amba/multipharma-scraper) — One of Belgium's largest pharmacy chains ### Your feedback Interested in Nordic beauty market data? Need deeper product detail extraction from Matas? Have suggestions for improving the scraper? [Open an issue](https://console.apify.com/actors/studio-amba/matas-scraper/issues) or contact us on Apify. We welcome all feedback. # Actor input Schema ## `searchQuery` (type: `string`): Search for products by keyword (e.g., 'shampoo', 'mascara', 'solcreme'). ## `categoryUrl` (type: `string`): A Matas category page URL to scrape. Example: https://www.matas.dk/hudpleje. Leave empty to use search. ## `maxResults` (type: `integer`): Maximum number of products to return. ## `proxyConfiguration` (type: `object`): Proxy settings for better reliability. ## Actor input object example ```json { "searchQuery": "shampoo", "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 = { "searchQuery": "shampoo" }; // Run the Actor and wait for it to finish const run = await client.actor("studio-amba/matas-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 = { "searchQuery": "shampoo" } # Run the Actor and wait for it to finish run = client.actor("studio-amba/matas-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 '{ "searchQuery": "shampoo" }' | apify call studio-amba/matas-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=studio-amba/matas-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Matas Scraper — Danish Health & Beauty Products & Prices", "description": "Scrape products from Matas.dk, Denmark's largest health and beauty chain with 260+ stores. Skincare, makeup, vitamins, personal care, and wellness.", "version": "0.1", "x-build-id": "qHzNr5pQ13wznma82" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/studio-amba~matas-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-studio-amba-matas-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/studio-amba~matas-scraper/runs": { "post": { "operationId": "runs-sync-studio-amba-matas-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/studio-amba~matas-scraper/run-sync": { "post": { "operationId": "run-sync-studio-amba-matas-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Search for products by keyword (e.g., 'shampoo', 'mascara', 'solcreme')." }, "categoryUrl": { "title": "Category URL", "type": "string", "description": "A Matas category page URL to scrape. Example: https://www.matas.dk/hudpleje. Leave empty to use search." }, "maxResults": { "title": "Max Results", "minimum": 1, "maximum": 50000, "type": "integer", "description": "Maximum number of products to return.", "default": 100 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for better reliability." } } }, "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 } } } } } } } } } } ```