# Asos Product Details Scraper (`nifty.codes/asos-listingdetails-scraper`) Actor Extract product specifications, pricing, stock status, and variant details from individual Asos product pages. Powered by Asos Scraper. - **URL**: https://apify.com/nifty.codes/asos-listingdetails-scraper.md - **Developed by:** [Nifty](https://apify.com/nifty.codes) (community) - **Categories:** E-commerce - **Stats:** 1 total users, 0 monthly users, 0.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $1.00 / 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 ## Introduction This actor extracts Product Details from Asos. It collects granular data from individual product pages including pricing history, variant specifications, stock levels, and full descriptions. Use this tool to monitor specific items or build a product database. ## Data Fields | Field Name | Description | Example | | --- | --- | --- | | Product Code | Unique Asos product identifier | 123456789 | | Product Name | Full title of the item | ASOS DESIGN oversized t-shirt | | Gender | Target demographic | Men | | Category Path | Breadcrumb navigation path | Men/Tops/T-shirts | | Product Type | Specific item classification | T-shirt | | Brand Name | Name of the manufacturer | ASOS DESIGN | | Brand ID | Unique brand identifier | 15678 | | Is No Size | Boolean for size-less items | false | | Is One Size | Boolean for one-size items | false | | Is Discontinued | Status of product availability | false | | PDP Layout | Page design template | standard | | Has Variants With Prop65 Risk | Safety warning flag | false | | Has Variants With Ingredients | Ingredient list flag | false | | Color | Primary color of the item | Black | | Available Sizes | List of stock sizes | ["S", "M", "L"] | | Primary Variant ID | Main variant identifier | 201234567 | | Primary Variant Size | Default size selected | M | | Primary Variant Color | Default color selected | Black | | Primary Variant EAN | European Article Number | 5059123456789 | | Primary Variant SKU | Stock Keeping Unit | 1234567890123 | | Description | Full product text | Soft jersey fabric. Regular fit. | | About Me | Material composition | 100% Cotton | | Size And Fit | Fit details | Model is 188cm tall | | Care Info | Washing instructions | Machine wash according to instructions | | Brand Description | Information about the brand | Giving you the confidence to express yourself | | All Images | List of product image URLs | ["https://images.asos-media.com/1.jpg"] | | Total Number Of Colors | Count of available colorways | 1 | | Show CMA Title | Compliance display flag | false | | Selling Fast | High demand indicator | true | | Save Count | Number of users who favorited | 1250 | | Current Price | Active selling price | 25.00 | | Previous Price | Price before markdown | 35.00 | | Currency | Three-letter currency code | GBP | | RRP | Recommended Retail Price | 35.00 | | XRP | Cross-retailer price | 35.00 | | Is Marked Down | Boolean for sale status | true | | Is Outlet Price | Boolean for outlet status | false | | Discount Percentage | Percent reduction | 28 | | Is In Stock | Availability status | true | | Price Start Date | When current price began | 2023-10-01T00:00:00Z | | Previous End Date | When old price ended | 2023-09-30T23:59:59Z | | Lowest Price Last 30 Days | Minimum price in 30 days | 22.00 | | Lowest Price Last 30 Days Text | Formatted 30-day low price | £22.00 | ## Input - `urls`: Array of URL strings. Only individual product pages from asos.com are supported. - `maxItems`: Max items per URL, default 100. ## Example Input ```json { "urls": ["https://www.asos.com/asos-design/product/123456789"], "maxItems": 1 } ```` ## Example Output ```json [ { "productCode": "123456789", "productName": "ASOS DESIGN oversized t-shirt in black", "gender": "Men", "categoryPath": "Men/Tops/T-shirts", "currentPrice": 25.00, "currency": "GBP", "isInStock": true, "brandName": "ASOS DESIGN", "availableSizes": ["S", "M", "L", "XL"], "discountPercentage": 0 }, { "productCode": "987654321", "productName": "Nike Training shorts in grey", "gender": "Men", "categoryPath": "Men/Sportswear/Shorts", "currentPrice": 18.50, "currency": "GBP", "isInStock": true, "brandName": "Nike", "availableSizes": ["M", "L"], "discountPercentage": 15 } ] ``` #### Want more from Asos? This actor only covers **Product Details**. The full **Asos Scraper** browser extension also includes **Products in a List, Product Reviews, Shopping Bag Details, Shopping Bag Items** with unlimited personal use, real-time scraping with your logged-in sessions, CSV/Excel/JSON export, field customization, and scheduled monitoring. **[Get the Asos Scraper extension](https://nifty.codes/e/asos-scraper)** ## Disclaimer This tool extracts publicly available data. Users are responsible for compliance with applicable terms of service. # Actor input Schema ## `urls` (type: `array`): URLs to scrape. Must match: asos.com ## `maxItems` (type: `integer`): Maximum number of items to extract per URL ## Actor input object example ```json { "urls": [ "https://www.asos.com/the-north-face/the-north-face-retro-nuptse-down-puffer-jacket-in-black/prd/209010008" ], "maxItems": 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 = {}; // Run the Actor and wait for it to finish const run = await client.actor("nifty.codes/asos-listingdetails-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("nifty.codes/asos-listingdetails-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 nifty.codes/asos-listingdetails-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=nifty.codes/asos-listingdetails-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Asos Product Details Scraper", "description": "Extract product specifications, pricing, stock status, and variant details from individual Asos product pages. Powered by Asos Scraper.", "version": "3.2", "x-build-id": "lm5rkPGYDxwZGry1R" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/nifty.codes~asos-listingdetails-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-nifty.codes-asos-listingdetails-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/nifty.codes~asos-listingdetails-scraper/runs": { "post": { "operationId": "runs-sync-nifty.codes-asos-listingdetails-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/nifty.codes~asos-listingdetails-scraper/run-sync": { "post": { "operationId": "run-sync-nifty.codes-asos-listingdetails-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": "URLs", "type": "array", "description": "URLs to scrape. Must match: asos.com", "items": { "type": "string" }, "default": [ "https://www.asos.com/the-north-face/the-north-face-retro-nuptse-down-puffer-jacket-in-black/prd/209010008" ] }, "maxItems": { "title": "Max items", "minimum": 1, "type": "integer", "description": "Maximum number of items to extract per URL", "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 } } } } } } } } } } ```