# UNIQLO Philippines Product Scraper (`keyless_gardener/uniqlo-ph-scraper`) Actor Scrapes product data from UNIQLO Philippines (uniqlo.com/ph/en). Extracts product names, prices, ratings, reviews, colors, sizes, and images from search and category listing pages. - **URL**: https://apify.com/keyless\_gardener/uniqlo-ph-scraper.md - **Developed by:** [Gaming Raccoon](https://apify.com/keyless_gardener) (community) - **Categories:** E-commerce, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing Pay per usage This Actor is paid per platform usage. The Actor is free to use, and you only pay for the Apify platform usage, which gets cheaper the higher subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#pay-per-usage ## 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/docs.md): ```bash npm install apify-client ``` In Python projects, use official [Python client library](https://docs.apify.com/api/client/python/docs.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/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 ## UNIQLO Philippines Product Scraper Scrapes product data from **[UNIQLO Philippines](https://www.uniqlo.com/ph/en/)** — product names, prices, ratings, reviews, images, and more from search results and category listing pages. ### 🎯 What it does Enter any UNIQLO PH product listing URL (search results, category page) and get back structured product data. Works for Women, Men, Kids, and Baby sections. ### 📥 Input | Field | Type | Required | Description | |-------|------|----------|-------------| | `startUrls` | array of URLs | ✅ | UNIQLO PH listing pages to scrape. Examples: `https://www.uniqlo.com/ph/en/search?q=t-shirt`, `https://www.uniqlo.com/ph/en/men/bottoms` | | `maxItems` | integer | ❌ | Max products to return (default: 50, max: 200) | | `scrapeDetailPages` | boolean | ❌ | Set to `true` to visit each product's detail page for additional data (sizes, stock, description). Doubles the run time. | ### 📤 Output Each product yields a clean JSON record: ```json { "productName": "AIRism Crew Neck T-Shirt", "currentPrice": "PHP 490.00", "originalPrice": "PHP 590.00", "rating": "4.8", "reviewCount": "135", "productUrl": "https://www.uniqlo.com/ph/en/products/E462204-000/00?colorDisplayCode=69", "productId": "E462204-000", "imageUrl": "https://image.uniqlo.com/UQ/ST3/ph/imagesgoods/462204/item/phgoods_69_462204_3x4.jpg?width=300", "genderSize": "Men, S-3XL", "offerText": "Online + App-Member Price from 24 Jul – 28 Jul 2026" } ```` #### Fields explained | Field | Description | |-------|-------------| | `productName` | Product title | | `currentPrice` | Current selling price (PHP) | | `originalPrice` | Original/comparison price if on sale | | `rating` | Star rating (1.0–5.0, empty if unreviewed) | | `reviewCount` | Number of customer reviews | | `productUrl` | Direct link to product page | | `productId` | UNIQLO internal product ID | | `imageUrl` | Main product image | | `genderSize` | Target gender and available size range | | `offerText` | Promotion or limited-time offer text | #### With detail page scraping enabled (`scrapeDetailPages: true`) Additional fields added: - `availableSizes` — List of sizes in stock (e.g. `["S", "M", "L"]`) - `stockStatus` — "In stock", "Out of stock", etc. - `colorCode` — UNIQLO color code (e.g. "69") - `colorName` — Color name (e.g. "DARK BROWN") - `features` — Description/bullet points ### 🚀 Example runs **Scrape t-shirts:** ```json { "startUrls": [{"url": "https://www.uniqlo.com/ph/en/search?q=t-shirt"}], "maxItems": 20 } ``` **Scrape all men's bottoms:** ```json { "startUrls": [{"url": "https://www.uniqlo.com/ph/en/men/bottoms"}], "maxItems": 100 } ``` ### 💡 Tips - **Search URLs** (`/search?q=...`) work best — they always show product tiles - **Category pages** (`/men/bottoms`, `/women/outerwear`) also work - **Landing/promo pages** (`/men`, `/women`) don't have product grids — use specific categories or search instead - Results are capped at 24 products per listing page (UNIQLO's limit). For more products, add multiple start URLs - Enabling `scrapeDetailPages` increases run time (each product page takes ~3-5s to load) ### ⚙️ Tech Built with **Apify SDK** + **Crawlee** + **Playwright**. Runs a real Chromium browser to handle UNIQLO's JavaScript-rendered pages. # Actor input Schema ## `start_urls` (type: `array`): UNIQLO PH product listing URLs to scrape (e.g., search results, category pages). Examples: - https://www.uniqlo.com/ph/en/search?q=t-shirt - https://www.uniqlo.com/ph/en/men - https://www.uniqlo.com/ph/en/women/bottoms ## `maxItems` (type: `integer`): Maximum number of products to extract per run ## `scrapeDetailPages` (type: `boolean`): If true, visits each product's detail page to extract additional data (product ID, available sizes, detailed description). This doubles the number of requests. ## `proxy` (type: `object`): Proxy configuration. Apify proxy is recommended for reliable scraping. ## Actor input object example ```json { "start_urls": [ { "url": "https://www.uniqlo.com/ph/en/search?q=t-shirt" } ], "maxItems": 50, "scrapeDetailPages": false, "proxy": { "useApifyProxy": true } } ``` # 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 = { "start_urls": [ { "url": "https://www.uniqlo.com/ph/en/search?q=t-shirt" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("keyless_gardener/uniqlo-ph-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 = { "start_urls": [{ "url": "https://www.uniqlo.com/ph/en/search?q=t-shirt" }] } # Run the Actor and wait for it to finish run = client.actor("keyless_gardener/uniqlo-ph-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 '{ "start_urls": [ { "url": "https://www.uniqlo.com/ph/en/search?q=t-shirt" } ] }' | apify call keyless_gardener/uniqlo-ph-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=keyless_gardener/uniqlo-ph-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "UNIQLO Philippines Product Scraper", "description": "Scrapes product data from UNIQLO Philippines (uniqlo.com/ph/en). Extracts product names, prices, ratings, reviews, colors, sizes, and images from search and category listing pages.", "version": "0.1", "x-build-id": "Gfkf4GfsBDjlJYk7f" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/keyless_gardener~uniqlo-ph-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-keyless_gardener-uniqlo-ph-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/keyless_gardener~uniqlo-ph-scraper/runs": { "post": { "operationId": "runs-sync-keyless_gardener-uniqlo-ph-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/keyless_gardener~uniqlo-ph-scraper/run-sync": { "post": { "operationId": "run-sync-keyless_gardener-uniqlo-ph-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": [ "start_urls" ], "properties": { "start_urls": { "title": "Start URLs", "type": "array", "description": "UNIQLO PH product listing URLs to scrape (e.g., search results, category pages). Examples:\n- https://www.uniqlo.com/ph/en/search?q=t-shirt\n- https://www.uniqlo.com/ph/en/men\n- https://www.uniqlo.com/ph/en/women/bottoms", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } }, "maxItems": { "title": "Max products", "maximum": 200, "type": "integer", "description": "Maximum number of products to extract per run", "default": 50 }, "scrapeDetailPages": { "title": "Scrape product detail pages", "type": "boolean", "description": "If true, visits each product's detail page to extract additional data (product ID, available sizes, detailed description). This doubles the number of requests.", "default": false }, "proxy": { "title": "Proxy configuration", "type": "object", "description": "Proxy configuration. Apify proxy is recommended for reliable scraping.", "default": { "useApifyProxy": true } } } }, "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 } } } } } } } } } } ```