# Ounass Product Search Scraper (`stealth_mode/ounass-product-search-scraper`) Actor Scrape product listings from Ounass.com effortlessly. This scraper collects product names, prices, images, sizes, colors, designer categories, and 34+ data fields from search results — perfect for price monitoring, inventory tracking, and fashion market research. - **URL**: https://apify.com/stealth\_mode/ounass-product-search-scraper.md - **Developed by:** [Stealth mode](https://apify.com/stealth_mode) (community) - **Categories:** Automation, Developer tools, Lead generation - **Stats:** 3 total users, 2 monthly users, 66.7% 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 ## Ounass Product Search Scraper: Extract Luxury Fashion Data --- ### What Is Ounass? Ounass is a leading luxury fashion e-commerce platform serving multiple regions globally, particularly strong in the Middle East, Asia, and beyond. It hosts tens of thousands of designer and contemporary fashion products across categories like women's clothing, accessories, footwear, and more. Extracting structured product data manually is cumbersome — the **Ounass Product Search Scraper** automates this, turning search result pages into clean, structured datasets for analysis and integration. --- ### Overview The **Ounass Product Search Scraper** extracts product listings from Ounass search results pages, capturing rich product metadata including pricing, availability, images, sizing, and designer classification. It is ideal for: - **Price monitor tools** tracking luxury fashion trends and competitor pricing - **Fashion researchers** analyzing product assortments and seasonal trends - **E-commerce developers** aggregating fashion data for alternative storefronts - **Retail analysts** benchmarking inventory and category depth Key strengths include support for paginated search URLs, configurable item limits for granular control, and fault-tolerant design via `ignore_url_failures` — allowing large-scale collection without interruption. --- ### Input Format The scraper accepts a JSON configuration object: ```json { "urls": [ "https://www.ounass.ae/women/clothing?fh_start_index=24" ], "ignore_url_failures": true, "max_items_per_url": 200 } ```` | Parameter | Type | Description | |---|---|---| | `urls` | Array | Direct links to Ounass product search result pages. Include category filters, sorting, and pagination parameters in the URL | | `max_items_per_url` | Integer | Maximum products extracted per URL. Default: `20`, max typical: `200+` | | `ignore_url_failures` | Boolean | If `true`, continues scraping if some URLs fail; if `false`, stops on first error | **Example URLs:** - `https://www.ounass.ae/women/clothing` (all women's clothing) - `https://www.ounass.ae/women/clothing?fh_start_index=24` (paginated results) - `https://www.ounass.ae/men/shoes?designer=gucci` (filtered by designer) > **Tip:** Use pagination parameters (`fh_start_index`) to split large categories into manageable chunks, each returning up to your configured limit. *** ### Output Format **Sample output** ```json { "style_color_id": "219752196_2709", "slug": "shop-moon-hakaan-yildirim-tatiana-gown-in-tulle-for-women-219752196_2709", "url": "/shop-moon-hakaan-yildirim-tatiana-gown-in-tulle-for-women-219752196_2709.html", "name": "Tatiana Gown in Tulle", "list_name": "PLP Clothing", "designer_category_name": "Moon Hakaan Yildirim", "thumbnail": "//ounass-ae.atgcdn.ae/small_light(dw=350,of=webp)/pub/media/catalog/product/2/1/219752196_blk_in.jpg?ts=1778915719.1895", "hover_image": "//ounass-ae.atgcdn.ae/small_light(dw=350,of=webp)/pub/media/catalog/product/2/1/219752196_blk_fr.jpg?ts=1778915719.1895", "out_of_stock": false, "badge": { "id": 4, "name": "badge", "value": "NEW SEASON", "value_en": "NEW SEASON", "background_color": "#f2f2f2", "border_color": "#f2f2f2", "font_color": "#2d2d2d", "background_color_dark_mode": "#2d2d2d", "border_color_dark_mode": "#2d2d2d", "font_color_dark_mode": "#f2f2f2" }, "parent_sku": "219752196", "visible_sku": "219752280", "category_url": "women/clothing/dresses/evening", "designer_category_english_name": "Moon Hakaan Yildirim", "name_in_english": "Tatiana Gown in Tulle", "color_in_english": "Black", "product_class_in_english": "Clothing", "division": "Fashion", "group": "Womens", "department": "Clothing", "class_name": "Dresses", "sub_class": "Sleeveless", "gender": "Womens", "season": "FW 2026", "exclusive": 0, "is_clearance": false, "is_promotion": false, "simple_type": "sizeOnlySimple", "price": 6900, "colors": [], "show_size_selector": true, "sizes": [ { "sku": "219752278", "size_code_id": 54, "size_code": "36", "price": 6900, "stock": 2, "score": 4036 }, { "sku": "219752279", "size_code_id": 45, "size_code": "38", "price": 6900, "stock": 2, "score": 4038 }, { "sku": "219752280", "size_code_id": 37, "size_code": "40", "price": 6900, "stock": 3, "score": 4040 }, { "sku": "219752281", "size_code_id": 44, "size_code": "42", "price": 6900, "stock": 1, "score": 4042 } ], "size_code": "40", "wishlist_count": 19, "from_url": "https://www.ounass.ae/women/clothing?ajax=true" } ``` Each product record contains 34+ data fields spanning identification, visual assets, pricing, sizing, and categorization: #### Product Identification | Field | Meaning | |---|---| | `Style Color ID` | Unique identifier combining product style and color variant | | `Slug` | URL-friendly product identifier (used in canonical URLs) | | `URL` | Direct link to the product detail page | | `Parent SKU` | Base product SKU shared across color/size variants | | `Visible SKU` | Merchant-facing SKU for inventory systems | #### Product Names & Descriptions | Field | Meaning | |---|---| | `Name` | Product name as displayed on the listing (primary language) | | `Name In English` | English translation of the product name | | `Color In English` | Color variant in English (e.g., "Navy Blue", "Black") | | `List Name` | Catalog or collection name (e.g., seasonal line) | #### Imagery & Presentation | Field | Meaning | |---|---| | `Thumbnail` | Small product image URL for search results | | `Hover Image` | Alternative product image shown on mouse hover | | `Badge` | Promotional or status badge (e.g., "New", "Sale") | #### Categorization | Field | Meaning | |---|---| | `Designer Category Name` | Brand or designer grouping (primary language) | | `Designer Category English Name` | English designer/brand category | | `Category URL` | Link to the parent category page | | `Product Class In English` | Product type classification (e.g., "Dress", "Handbag") | | `Class Name` | Product class in primary language | | `Sub Class` | Sub-category within the class | | `Division` | High-level business division (e.g., "Womenswear") | | `Group` | Product grouping level (e.g., "Accessories", "Ready-to-Wear") | | `Department` | Department classification | | `Gender` | Target gender (Men, Women, Unisex) | | `Season` | Season or collection (Spring/Summer, Fall/Winter, Resort, etc.) | #### Pricing & Promotions | Field | Meaning | |---|---| | `Price` | Current listed price in local currency | | `Is Clearance` | Boolean flag indicating clearance/end-of-season items | | `Is Promotion` | Boolean flag for promotional pricing | | `Exclusive` | Flag indicating exclusive brand or limited availability | #### Sizing & Variants | Field | Meaning | |---|---| | `Sizes` | Available size options (e.g., XS, S, M, L, or numeric sizes) | | `Size Code` | Internal size coding system | | `Colors` | List of available color variants for this product | | `Show Size Selector` | Boolean indicating whether sizes are selectable on the front-end | #### Inventory & Engagement | Field | Meaning | |---|---| | `Out Of Stock` | Boolean flag: `true` if product is unavailable | | `Wishlist Count` | Number of users who favorited this product (engagement metric) | #### Additional Attributes | Field | Meaning | |---|---| | `Simple Type` | Product type classification (e.g., Simple, Configurable) | *** ### How to Use 1. **Find search URLs** — Navigate to Ounass.com, apply filters (category, designer, price), and copy the full URL including query parameters. 2. **Handle pagination** — For large result sets, use the `fh_start_index` parameter to paginate. Example: `?fh_start_index=0`, `?fh_start_index=24`, `?fh_start_index=48`. 3. **Configure input** — Paste URLs into the `urls` array. Set `max_items_per_url` (recommend `50–200` depending on your infrastructure). 4. **Enable error tolerance** — Set `ignore_url_failures: true` for production runs to skip problematic URLs. 5. **Run the scraper** — Execute the actor and monitor progress in the logs. 6. **Export data** — Download results as JSON, CSV, or Excel for analysis or database import. **Best practices:** - Spread requests across multiple URL runs to reduce server load. - Use proxy rotation if performing frequent large-scale scrapes. - Schedule scrapes during off-peak hours. *** ### Use Cases & Business Value - **Price monitoring:** Track competitor pricing, promotions, and discount patterns in real-time. - **Inventory analytics:** Monitor stock status, color/size availability, and product lifecycle. - **Fashion trend analysis:** Identify popular designers, emerging categories, and seasonal shifts. - **Content syndication:** Feed product data into price comparison sites, affiliate networks, or internal systems. - **Market research:** Benchmark product assortment, pricing strategies, and exclusive brand partnerships. The Ounass Product Search Scraper eliminates tedious manual data collection, delivering consistent, structured records that feed directly into analytics dashboards, inventory systems, and business intelligence platforms. *** ### Conclusion The **Ounass Product Search Scraper** is a comprehensive solution for extracting luxury fashion product data at scale. With 34+ fields covering pricing, imagery, categorization, and sizing, it powers competitive intelligence, inventory tracking, and market research. Start scraping today and unlock actionable insights from one of the region's largest fashion platforms. # 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.ounass.ae/women/clothing?fh_start_index=24" ], "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.ounass.ae/women/clothing?fh_start_index=24" ], "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/ounass-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.ounass.ae/women/clothing?fh_start_index=24"], "ignore_url_failures": True, "max_items_per_url": 20, } # Run the Actor and wait for it to finish run = client.actor("stealth_mode/ounass-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.ounass.ae/women/clothing?fh_start_index=24" ], "ignore_url_failures": true, "max_items_per_url": 20 }' | apify call stealth_mode/ounass-product-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=stealth_mode/ounass-product-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Ounass Product Search Scraper", "description": "Scrape product listings from Ounass.com effortlessly. This scraper collects product names, prices, images, sizes, colors, designer categories, and 34+ data fields from search results — perfect for price monitoring, inventory tracking, and fashion market research.", "version": "0.0", "x-build-id": "9FYMuOBAsAHWYezpZ" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/stealth_mode~ounass-product-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-stealth_mode-ounass-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/stealth_mode~ounass-product-search-scraper/runs": { "post": { "operationId": "runs-sync-stealth_mode-ounass-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/stealth_mode~ounass-product-search-scraper/run-sync": { "post": { "operationId": "run-sync-stealth_mode-ounass-product-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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 } } } } } } } } } } ```