# Vouri Products Spider (`getdataforme/vouri-products-spider`) Actor The Vouri Products Spider efficiently scrapes comprehensive product details from Vuori Clothing's website, including prices, images, sizes, and tags.... - **URL**: https://apify.com/getdataforme/vouri-products-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Automation, E-commerce - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $9.00 / 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 ### Description The Vouri Products Spider efficiently scrapes comprehensive product details from Vuori Clothing's website, including prices, images, sizes, and tags.... --- ## Vouri Products Spider ### Introduction The Vouri Products Spider is a powerful web scraping tool designed to extract detailed product information from Vuori Clothing's website. It efficiently crawls specified category URLs to gather comprehensive data on products, including titles, prices, images, sizes, and more, making it ideal for e-commerce analysis and data collection. This actor ensures reliable, structured output in JSON format, enabling users to integrate the data seamlessly into their workflows. ### Features - **Comprehensive Product Extraction**: Scrapes detailed product details such as ID, title, handle, product type, images, prices, colors, sizes, tags, categories, and gender from Vuori's collections. - **Flexible URL Configuration**: Supports multiple starting URLs, allowing targeted scraping of specific categories like men's hoodies and sweatshirts. - **High-Quality Data Output**: Delivers clean, structured JSON data with consistent fields, ensuring data integrity and ease of use. - **Scalable and Efficient**: Built on Apify's robust infrastructure for fast, reliable scraping without manual intervention. - **Error-Resilient**: Includes built-in handling for common web scraping challenges like dynamic content and rate limits. - **Customizable and Extensible**: Easy to configure inputs for different scraping needs, with options for further customization via support. - **Apify Integration**: Seamlessly integrates with Apify's platform for scheduling, monitoring, and exporting results in various formats. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-----------------------------------------------------------------------------|---------| | Urls | array | Yes | An array of URLs to scrape, each pointing to a Vuori category page. Must be valid HTTP/HTTPS URLs. | ["https://vuoriclothing.com/collections/mens?refinementList%5Btaxonomy_tier_4%5D%5B0%5D=Hoodies%20%26%20Sweatshirts"] | ### Example Usage To run the actor, provide the input parameters in JSON format: ```json { "Urls": [ "https://vuoriclothing.com/collections/mens?refinementList%5Btaxonomy_tier_4%5D%5B0%5D=Hoodies%20%26%20Sweatshirts" ] } ```` Example output in JSON format: ```json [ { "collection": "mens", "category_filter": "Hoodies & Sweatshirts", "id": "7447935713383", "title": "Tech Waffle Pullover Hoodie | Ink", "handle": "tech-waffle-pullover-hoodie-ink", "product_type": "Jackets & Hoodies", "image": "https://cdn.shopify.com/s/files/1/0022/4008/6074/files/V2046INK_SP26_M_LAYERS_FRONT_3_64697806-71ad-4e9c-9721-7eaaed3b9704.png?v=1773167382", "price": 158, "colors": ["Ink"], "sizes": ["S", "M", "L", "XL", "XXL"], "tags": ["SP26"], "category": ["hoodies", "sweatshirts", "tops"], "gender": ["mens"], "actor_id": "sYMdqvhJM8tgNHC6d", "run_id": "onc5NJb14LXXv8EWz" }, { "collection": "mens", "category_filter": "Hoodies & Sweatshirts", "id": "7025467555943", "title": "Seaside Pullover Hoodie | Salt", "handle": "seaside-pullover-hoodie-salt", "product_type": "Jackets & Hoodies", "image": "https://cdn.shopify.com/s/files/1/0022/4008/6074/files/FA25_LOOK005_M_MARKTESI_OCEANSIDE_1732.jpg?v=1758754621", "price": 138, "colors": ["Salt"], "sizes": ["S", "M", "L", "XL", "XXL"], "tags": ["CHATGPT-9_11", "FA24", "images-swapped"], "category": ["hoodies"], "gender": ["mens"], "actor_id": "sYMdqvhJM8tgNHC6d", "run_id": "onc5NJb14LXXv8EWz" }, { "collection": "mens", "category_filter": "Hoodies & Sweatshirts", "id": "7447936827495", "title": "Cypress Vintage Hoodie | Soot", "handle": "cypress-vintage-hoodie-soot", "product_type": "Jackets & Hoodies", "image": "https://cdn.shopify.com/s/files/1/0022/4008/6074/files/V2112SOO_SP26_M_LAYERS_FRONT_2.jpg?v=1767737211", "price": 128, "colors": ["Soot"], "sizes": ["S", "M", "L", "XL", "XXL"], "tags": ["SP26"], "category": ["hoodies", "sweatshirts", "tops"], "gender": ["mens"], "actor_id": "sYMdqvhJM8tgNHC6d", "run_id": "onc5NJb14LXXv8EWz" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather product data to analyze trends in activewear pricing, availability, and features. - **Competitive Intelligence**: Compare Vuori's offerings with competitors by extracting detailed product specs and pricing. - **Price Monitoring**: Track price changes across categories to inform dynamic pricing strategies. - **Content Aggregation**: Build databases of product images, descriptions, and tags for e-commerce platforms or blogs. - **Academic Research**: Study consumer preferences in sustainable clothing by analyzing product categories and attributes. - **Business Automation**: Automate inventory checks or integrate data into CRM systems for streamlined operations. ### Installation and Usage 1. Search for "Vouri Products Spider" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 4. Click "Start" to begin extraction 5. Monitor progress in the log 6. Export results in your preferred format (JSON, CSV, Excel) ### Output Format The actor outputs an array of JSON objects, each representing a product. Key fields include: - `collection`: The product collection (e.g., "mens"). - `category_filter`: Applied filter (e.g., "Hoodies & Sweatshirts"). - `id`: Unique product ID. - `title`: Product name with variant. - `handle`: URL-friendly identifier. - `product_type`: Category like "Jackets & Hoodies". - `image`: Main product image URL. - `price`: Numeric price value. - `colors`: Array of available colors. - `sizes`: Array of available sizes. - `tags`: Metadata tags. - `category`: Array of subcategories. - `gender`: Target gender array. - `actor_id` and `run_id`: Apify-specific identifiers for tracking. Data is structured for easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: https://getdataforme.com/contact/ We're here to help you get the most out of this Actor! # Actor input Schema ## `Urls` (type: `array`): The urls for the spider. ## Actor input object example ```json { "Urls": [ "https://vuoriclothing.com/collections/mens?refinementList%5Btaxonomy_tier_4%5D%5B0%5D=Hoodies%20%26%20Sweatshirts" ] } ``` # 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("getdataforme/vouri-products-spider").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("getdataforme/vouri-products-spider").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 getdataforme/vouri-products-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/vouri-products-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Vouri Products Spider", "description": "The Vouri Products Spider efficiently scrapes comprehensive product details from Vuori Clothing's website, including prices, images, sizes, and tags....", "version": "0.0", "x-build-id": "hbhw3XUoHKpVaGudE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~vouri-products-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-vouri-products-spider", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~vouri-products-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-vouri-products-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~vouri-products-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-vouri-products-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://vuoriclothing.com/collections/mens?refinementList%5Btaxonomy_tier_4%5D%5B0%5D=Hoodies%20%26%20Sweatshirts" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```