# Matas Product Search Scraper (`stealth_mode/matas-product-search-scraper`) Actor Scrape product listings from Matas.dk search results with precision. Collect product names, prices, ratings, stock status, EAN codes, variants, and 20+ additional fields — perfect for competitive analysis, price monitoring, and e-commerce research. - **URL**: https://apify.com/stealth\_mode/matas-product-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $2.00 / 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. 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 ## Matas.dk Products Search Scraper: Extract Beauty & Health Data at Scale --- ### What Is Matas.dk? Matas.dk is Denmark's leading retail platform for beauty, skincare, health, and wellness products. It hosts thousands of brands and SKUs across makeup, fragrances, vitamins, and personal care categories. Manual product data collection from search results is labor-intensive — the **Matas.dk Products Search Scraper** automates this, delivering structured product intelligence from search queries in seconds. --- ### Overview The **Matas Products Search Scraper** extracts product listings from Matas.dk search result pages, converting unstructured product cards into clean, queryable records. It is designed for: - **Price monitoring companies** tracking competitor pricing and promotions - **E-commerce aggregators** building product databases from Nordic retailers - **Market researchers** analyzing beauty and wellness product trends - **Retailers and brands** conducting competitive intelligence - **Data analysts** studying inventory, ratings, and product availability Key features include configurable item limits per search URL, resilient error handling, and multi-language product data capture. --- ### Input Format The scraper accepts a JSON configuration object: ```json { "ignore_url_failures": true, "max_items_per_url": 200, "urls": [ "https://www.matas.dk/soeg?search-query=lip&page=2" ] } ```` | Field | Description | |---|---| | `urls` | Matas.dk search result page URLs. Build URLs using the `?search-query=TERM&page=NUMBER` format | | `max_items_per_url` | Maximum number of products extracted per URL (default: `20`, max: `200`) | | `ignore_url_failures` | If `true`, the scraper skips failed URLs and continues. If `false`, stops on errors | **URL building tips:** - Replace `TERM` with your search keyword (e.g., `lip`, `sunscreen`, `vitamin-d`) - Add `&page=X` to scrape paginated results - URL example: `https://www.matas.dk/soeg?search-query=mascara&page=1` *** ### Output Format **Sample output** ```json { "id": 1033470, "brand_id": 91, "list_name": { "lines": [ { "value": "Maybelline New York", "type": "Brand", "url": null }, { "value": "Lifter Gel Oil-In-Gel Twist Pen", "type": "Name", "url": null } ] }, "standard_name": "Maybelline New York Lifter Gel Oil-In-Gel Twist Pen 06 Strawberry Shake", "snippet": null, "link_action": { "product_id": 1033470, "url": "/maybelline-new-york-lifter-gel-oil-in-gel-twist-pen-06-strawberry-shake_1033470", "no_follow": false, "open_in_new_window": false, "$type": "ProductLinkAction" }, "primary_image": { "image_type": "PrimaryImage", "url": "https://images.matas.dk/encode/3600531721022_20260120181000.jpg", "sort_order": 0 }, "action": "VariantPicker", "price_info": { "minimum_sales_quantity": 1, "price_before": null, "recommended_price_label": null, "price_condition_label": null, "campaign_disclaimer": null, "campaign_name": null, "price": "94,95 kr.", "is_on_discount": false, "price_label": { "text": "Fast Lav Pris", "type": "FixedLowPrice", "is_info_icon_enabled": true }, "price_before_label": null }, "average_rating": 3.5, "review_count": 2, "splashes": { "primary": { "placement": "Primary", "display_type": "Label", "type": "FixedLowPrice", "lines": [ "Fast Lav Pris" ], "text_color": "#1A1A1A", "background_color": "#FF8326", "image_url": null, "is_transparant": false, "end_date": null, "discount_id": null }, "secondary": null, "extra": [], "supplimentary": [] }, "show_reviews": true, "variants": { "total_amount": 8, "variant_list": [ { "product_id": 1033470, "display_type": "Color", "name": "06 Strawberr...", "colors": [ "#C66369" ], "is_selected": true, "link_action": { "product_id": 1033470, "url": "/maybelline-new-york-lifter-gel-oil-in-gel-twist-pen-06-strawberry-shake_1033470", "no_follow": false, "open_in_new_window": false, "$type": "ProductLinkAction" }, "unavailable": false }, { "product_id": 1033463, "display_type": "Color", "name": "04 Sugar Spritz", "colors": [ "#FFC4D5" ], "is_selected": false, "link_action": { "product_id": 1033463, "url": "/maybelline-new-york-lifter-gel-oil-in-gel-twist-pen-04-sugar-spritz_1033463", "no_follow": false, "open_in_new_window": false, "$type": "ProductLinkAction" }, "unavailable": false }, { "product_id": 1033464, "display_type": "Color", "name": "03 Passion J...", "colors": [ "#FFD0B3" ], "is_selected": false, "link_action": { "product_id": 1033464, "url": "/maybelline-new-york-lifter-gel-oil-in-gel-twist-pen-03-passion-juice_1033464", "no_follow": false, "open_in_new_window": false, "$type": "ProductLinkAction" }, "unavailable": false }, { "product_id": 1033465, "display_type": "Color", "name": "01 Mintini", "colors": [ "#FBFBF9" ], "is_selected": false, "link_action": { "product_id": 1033465, "url": "/maybelline-new-york-lifter-gel-oil-in-gel-twist-pen-01-mintini_1033465", "no_follow": false, "open_in_new_window": false, "$type": "ProductLinkAction" }, "unavailable": false }, { "product_id": 1033466, "display_type": "Color", "name": "05 Melon-Ade", "colors": [ "#F30034" ], "is_selected": false, "link_action": { "product_id": 1033466, "url": "/maybelline-new-york-lifter-gel-oil-in-gel-twist-pen-05-melon-ade_1033466", "no_follow": false, "open_in_new_window": false, "$type": "ProductLinkAction" }, "unavailable": false } ] }, "favorite_status": { "product_id": 1033470, "favorite_status": "RequireLogin", "is_login_available": true, "current_url": "/soeg?search-query=lip&page=2" }, "track_model": null, "explained_score": null, "bundle_info": null, "external_product_id": 1033470, "unit_amount": 6.6, "unit": "MLT", "in_stock": true, "ean": "3600531721022", "wrapping_flags": "None", "use_custom_chanel_styling": false, "currency": "DKK", "from_url": "https://www.matas.dk/soeg?search-query=lip&page=2" } ``` Each scraped product returns a comprehensive record with 27 fields: #### Product Identification | Field | Meaning | |---|---| | `ID` | Unique Matas product identifier | | `Brand ID` | Brand-level ID for grouping products | | `External Product ID` | SKU or external identifier | | `EAN` | European Article Number (barcode) for the product | | `Standard Name` | Official product name on Matas | | `List Name` | How the product appears in search results | | `Snippet` | Short product description or tagline | #### Pricing & Availability | Field | Meaning | |---|---| | `Price Info` | Current price in DKK, including currency and formatting | | `Currency` | Currency code (typically `DKK` for Matas.dk) | | `In Stock` | Boolean indicating product availability | | `Unit Amount` | Package quantity (e.g., `50 ml`, `30 tablets`) | | `Unit` | Unit of measurement (ml, pieces, grams, etc.) | #### Customer Feedback | Field | Meaning | |---|---| | `Average Rating` | Numerical star rating (e.g., `4.5`) | | `Review Count` | Total number of customer reviews | | `Show Reviews` | Whether reviews are displayed on product page | #### Visuals & Branding | Field | Meaning | |---|---| | `Primary Image` | URL to the main product image | | `Use Custom Chanel Styling` | Brand-specific UI flag for premium partners | #### Product Details & Variants | Field | Meaning | |---|---| | `Variants` | Available size/color options (e.g., `["Red", "Blue"]`, `["30ml", "50ml"]`) | | `Bundle Info` | Details if product is part of a bundle deal | | `Action` | CTA text or promotional flag (e.g., "View", "Buy Now") | #### Site Behavior & Metadata | Field | Meaning | |---|---| | `Link Action` | Redirect behavior (e.g., "internal", "external") | | `Favorite Status` | Whether the product is marked as a favorite | | `Track Model` | Internal tracking identifier | | `Explained Score` | Algorithm-driven recommendation or relevance score | | `Splashes` | Visual badges or promotional labels (e.g., "New", "Sale", "Eco") | | `Wrapping Flags` | Gift wrapping or special packaging availability | *** ### How to Use 1. **Build your search URL** — Visit Matas.dk, run a search, and copy the resulting URL. Ensure it includes `search-query=` and page parameters. 2. **Configure the scraper** — Paste URLs into the `urls` array. For bulk searches, add multiple URLs with different keywords or pages. 3. **Set limits** — Adjust `max_items_per_url` based on your needs. Higher values (e.g., `200`) capture more products per page. 4. **Enable error handling** — Set `ignore_url_failures: true` to continue if individual URLs fail. 5. **Run and export** — Start the actor and download results as JSON, CSV, or Excel. **Best practices:** - Test with a single URL first to verify configuration. - Use multiple search terms to build comprehensive product catalogs (e.g., "sunscreen", "moisturizer", "serum"). - Scrape paginated results incrementally to avoid timeouts on large datasets. *** ### Use Cases & Business Value - **Price monitoring:** Track competitor pricing changes across beauty categories weekly or daily. - **Product aggregation:** Populate e-commerce platforms or price comparison engines with Nordic beauty data. - **Sentiment analysis:** Combine product names, ratings, and review counts to identify trending items. - **Assortment planning:** Analyze which brands and products dominate specific categories on Matas. - **Market research:** Study product availability, pricing strategies, and customer preferences in the Scandinavian market. The **Matas.dk Products Search Scraper** transforms search results into actionable business intelligence, saving hours of manual data collection and enabling data-driven decisions at scale. *** ### Conclusion The **Matas.dk Products Search Scraper** is an efficient, reliable tool for anyone needing structured beauty and wellness product data from Denmark's largest e-commerce retailer. With comprehensive output spanning 27 fields—from pricing and inventory to customer ratings and product variants—it supports competitive analysis, market research, and product aggregation workflows. Start scraping today and unlock Nordic market insights. # Actor input Schema ## `urls` (type: `array`): Add the URLs of the product search list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list. ## `ignore_url_failures` (type: `boolean`): If true, the scraper will continue running even if some URLs fail to be scraped. ## `max_items_per_url` (type: `integer`): The maximum number of items to scrape per URL. ## Actor input object example ```json { "urls": [ "https://www.matas.dk/soeg?search-query=lip&page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 } ``` # 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.matas.dk/soeg?search-query=lip&page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }; // Run the Actor and wait for it to finish const run = await client.actor("stealth_mode/matas-product-search-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 = { "urls": ["https://www.matas.dk/soeg?search-query=lip&page=2"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/matas-product-search-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 '{ "urls": [ "https://www.matas.dk/soeg?search-query=lip&page=2" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/matas-product-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/matas-product-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Matas Product Search Scraper", "description": "Scrape product listings from Matas.dk search results with precision. Collect product names, prices, ratings, stock status, EAN codes, variants, and 20+ additional fields — perfect for competitive analysis, price monitoring, and e-commerce research.", "version": "0.0", "x-build-id": "hNiDslu6Pib05uQoU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~matas-product-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-matas-product-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~matas-product-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-matas-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~matas-product-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-matas-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "urls": { "title": "URLs of the product search list urls to scrape", "type": "array", "description": "Add the URLs of the product search list urls you want to scrape. You can paste URLs one by one, or use the Bulk edit section to add a prepared list.", "items": { "type": "string" } }, "ignore_url_failures": { "title": "Continue running even if some URLs fail to be scraped", "type": "boolean", "description": "If true, the scraper will continue running even if some URLs fail to be scraped." }, "max_items_per_url": { "title": "Max items per URL", "type": "integer", "description": "The maximum number of items to scrape per URL." } } }, "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 } } } } } } } } } } ```