# Sk2 Urls Spider (`getdataforme/sk2-urls-spider`) Actor Sk2 Urls Spider is an Apify Actor that automates scraping SK2 product URLs, extracting names, prices, descriptions, and images with high accuracy and speed.... - **URL**: https://apify.com/getdataforme/sk2-urls-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, Agents, E-commerce - **Stats:** 2 total users, 0 monthly users, 100.0% runs succeeded, 0 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 ## Sk2 Urls Spider ### Introduction The Sk2 Urls Spider is a powerful Apify Actor designed to efficiently scrape and extract data from specified URLs, particularly tailored for SK2 product pages. It automates the process of gathering product information, ensuring high accuracy and speed for e-commerce data collection. This tool is ideal for businesses and researchers needing reliable, structured data from web sources without manual effort. ### Features - **Efficient URL Scraping**: Handles multiple URLs simultaneously, extracting key product details like names, prices, descriptions, and images. - **High Data Accuracy**: Utilizes advanced parsing techniques to ensure clean, reliable data output with minimal errors. - **Scalable Performance**: Optimized for handling large volumes of URLs, with built-in concurrency for faster processing. - **Flexible Configuration**: Simple input setup allows customization of scraping targets without coding expertise. - **JSON Output**: Delivers structured data in JSON format, easily integrable with other tools or databases. - **Error Resilience**: Includes retry mechanisms for failed requests, improving overall reliability. - **Apify Integration**: Seamlessly runs on the Apify platform, supporting cloud-based execution and storage. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | Yes | An array of URLs to scrape. Each URL must be a valid HTTP or HTTPS link pointing to a web page containing SK2 product data. | ["https://www.sk2.com/product1", "https://www.sk2.com/product2"] | ### Example Usage To run the Sk2 Urls Spider, provide the input in JSON format as shown below: ```json { "Urls": [ "https://www.sk2.com/products/facial-treatment-essence", "https://www.sk2.com/products/pitera-essence" ] } ```` Example output in JSON format: ```json [ { "url": "https://www.sk2.com/products/facial-treatment-essence", "productName": "Facial Treatment Essence", "price": "$180.00", "description": "A hydrating essence that nourishes the skin.", "imageUrl": "https://www.sk2.com/images/essence.jpg" }, { "url": "https://www.sk2.com/products/pitera-essence", "productName": "Pitera Essence", "price": "$220.00", "description": "The original essence for radiant skin.", "imageUrl": "https://www.sk2.com/images/pitera.jpg" } ] ``` ### Use Cases - **Market Research and Analysis**: Collect product data from SK2 websites to analyze trends, pricing strategies, and competitor offerings. - **Competitive Intelligence**: Monitor SK2 product listings to track new releases, price changes, and feature updates. - **Price Monitoring**: Automate the tracking of SK2 product prices for e-commerce platforms or retail alerts. - **Content Aggregation**: Gather detailed product information for blogs, review sites, or content marketing efforts. - **Academic Research**: Extract data for studies on consumer products, skincare trends, or e-commerce patterns. - **Business Automation**: Integrate scraped data into inventory systems, CRM tools, or automated reporting workflows. ### Installation and Usage 1. Search for "Sk2 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 output is a JSON array of objects, where each object represents data extracted from one URL. Key fields include: - `url`: The original URL scraped. - `productName`: The name of the product. - `price`: The current price of the product. - `description`: A brief description of the product. - `imageUrl`: URL to the product's main image. This structured format ensures easy parsing and integration with downstream applications. ### Error Handling The Actor includes built-in error handling for common issues such as invalid URLs, network timeouts, or blocked requests. Failed URLs are logged with error messages, and the Actor will retry up to 3 times before skipping. Check the run logs for details on any errors encountered. ### Rate Limiting and Best Practices - **Rate Limiting**: Respects website rate limits to avoid IP bans; processes URLs sequentially with delays if needed. - **Best Practices**: Limit input to 50-100 URLs per run for optimal performance. Use valid, accessible URLs to prevent unnecessary retries. Monitor Apify credits, as heavy usage may incur costs. ### Limitations and Considerations - Only scrapes publicly available data from SK2-related URLs; does not handle login-protected pages. - Output quality depends on website structure; changes to SK2's site may require updates. - Not designed for real-time scraping; best for batch processing. ### 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 {} ``` # 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/sk2-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/sk2-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/sk2-urls-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/sk2-urls-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Sk2 Urls Spider", "description": "Sk2 Urls Spider is an Apify Actor that automates scraping SK2 product URLs, extracting names, prices, descriptions, and images with high accuracy and speed....", "version": "0.0", "x-build-id": "wXBjVBMrfH96Wu8Ea" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~sk2-urls-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-sk2-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~sk2-urls-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-sk2-urls-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~sk2-urls-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-sk2-urls-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.", "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 } } } } } } } } } } ```