# Aloyoga Urls Spider (`getdataforme/aloyoga-urls-spider`) Actor The Aloyoga Urls Spider is an Apify Actor that extracts comprehensive product data from Alo Yoga's website, including titles, descriptions, images, prices, and app details.... - **URL**: https://apify.com/getdataforme/aloyoga-urls-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 Aloyoga Urls Spider is an Apify Actor that extracts comprehensive product data from Alo Yoga's website, including titles, descriptions, images, prices, and app details.... --- ## Aloyoga Urls Spider ### Introduction The Aloyoga Urls Spider is a powerful Apify Actor designed to extract detailed product information from Alo Yoga's website. It efficiently scrapes data such as product titles, descriptions, images, prices, and app-related details from specified URLs, enabling seamless data collection for e-commerce analysis. This tool is ideal for businesses and researchers needing accurate, structured data from Alo Yoga's online store. ### Features - **Comprehensive Data Extraction**: Captures key product details including titles, descriptions, images, and canonical URLs. - **App Information Retrieval**: Extracts data about the Alo Yoga mobile app, such as ratings, pricing, and installation links. - **Flexible URL Input**: Accepts multiple URLs for batch processing, supporting both single and multiple product pages. - **High Reliability**: Built with robust error handling to ensure consistent data quality even on dynamic websites. - **Fast Performance**: Optimized for quick scraping with minimal resource usage, suitable for large-scale operations. - **Structured Output**: Delivers clean, JSON-formatted data ready for integration into databases or analytics tools. - **Apify Integration**: Seamlessly runs on the Apify platform with easy monitoring and export options. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | Yes | A list of URLs to scrape from Alo Yoga's website. Each URL must be a valid HTTP or HTTPS link pointing to a product page. | ["https://www.aloyoga.com/products/u3031rg-accolade-crew-neck-pullover-sunshine"] | ### Example Usage #### Input JSON ```json { "Urls": [ "https://www.aloyoga.com/products/u3031rg-accolade-crew-neck-pullover-sunshine" ] } ```` #### Output JSON ```json [ { "website_url": "https://www.aloyoga.com/", "search_url_template": "https://aloyoga.com/search?q={search_term_string}", "app": { "name": "Alo Yoga", "operating_system": "iOS 11.1+", "install_url": "https://apps.apple.com/app/alo-yoga/id1503741784", "category": "ShoppingApplication", "price": "0.00", "rating_value": "4.9", "rating_count": "6700" }, "shop_id": 21852813, "storefront_base_url": "https://www.aloyoga.com", "page_title": "Accolade Crew Neck Pullover - Sunshine | ALO", "displayed_price": null, "og_title": "Accolade Crew Neck Pullover - Sunshine", "og_description": "This best seller is cozy, comfortable, cute and done in classic neutrals and on-trend colors\u2014each finished with a chrome ALO logo. It has a classic crewneck, ribbed cuffs and hem, and a laid-back dropped-shoulder fit. It\u2019s made from midweight French terry that\u2019s smooth on the outside and fleecy on the inside with the p", "og_image": "http://www.aloyoga.com/cdn/shop/files/U3031RG_0967_b2_s1_a1_dSP26_m191_1024x1024.jpg?v=1773830401", "canonical_url": "https://www.aloyoga.com/products/u3031rg-accolade-crew-neck-pullover-sunshine", "actor_id": "hFDhCy4sWCQWaOSFj", "run_id": "K1hpF5FKTHVSbyhro" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather product details to analyze trends in the activewear industry. - **Competitive Intelligence**: Compare Alo Yoga's offerings with competitors by extracting pricing and descriptions. - **Price Monitoring**: Track displayed prices and app ratings for dynamic pricing strategies. - **Content Aggregation**: Collect images, titles, and descriptions for content creation or e-commerce platforms. - **Academic Research**: Study consumer behavior through app data and product metadata. - **Business Automation**: Automate data feeds for inventory management or marketing campaigns. ### Installation and Usage 1. Search for "Aloyoga Urls 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 data in JSON format as an array of objects. Each object represents a scraped URL and includes fields like `website_url`, `app` (with subfields for name, OS, ratings, etc.), `page_title`, `og_description`, `og_image`, `canonical_url`, and metadata such as `actor_id` and `run_id`. This structure ensures easy parsing and integration, with null values for unavailable data like prices. ### 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://www.aloyoga.com/products/u3031rg-accolade-crew-neck-pullover-sunshine" ] } ``` # 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/aloyoga-urls-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/aloyoga-urls-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/aloyoga-urls-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/aloyoga-urls-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Aloyoga Urls Spider", "description": "The Aloyoga Urls Spider is an Apify Actor that extracts comprehensive product data from Alo Yoga's website, including titles, descriptions, images, prices, and app details....", "version": "0.0", "x-build-id": "WMMlFWOhpWec5YLJo" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~aloyoga-urls-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-aloyoga-urls-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~aloyoga-urls-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-aloyoga-urls-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~aloyoga-urls-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-aloyoga-urls-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://www.aloyoga.com/products/u3031rg-accolade-crew-neck-pullover-sunshine" ], "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 } } } } } } } } } } ```