# Awakewatches Product Detail Extractor (`getdataforme/awakewatches-product-detail-extractor`) Actor The Awakewatches Product Detail Extractor efficiently scrapes detailed product data from Awakewatches, capturing names, prices, specs, and images.... - **URL**: https://apify.com/getdataforme/awakewatches-product-detail-extractor.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, 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 --- ## Awakewatches Product Detail Extractor ### Introduction The Awakewatches Product Detail Extractor is a powerful tool designed to efficiently scrape and extract detailed product information from the Awakewatches website. It provides comprehensive data on products such as names, prices, specifications, and images, enabling users to gain valuable insights into watch offerings. ### Features - **Comprehensive Data Extraction**: Captures all essential product details including name, price, SKU, GTIN, and more. - **High-Quality Data**: Ensures reliable and accurate data extraction for informed decision-making. - **Customizable Input Parameters**: Allows users to specify URLs and set item limits for tailored scraping sessions. - **Efficient Performance**: Optimized for speed and efficiency, minimizing resource usage while maximizing output quality. - **Versatile Output Formats**: Supports multiple export formats such as JSON, CSV, and Excel for easy integration into workflows. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-----------------------------------------------------------------------------------------------|---------------------------------------------------| | `Urls` | array | Yes | The URLs for the spider to scrape. Must be valid and accessible. | `["https://awakewatches.com/products/son-mai-year-of-the-sssnake"]` | | `item_limit`| integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "Urls": [ "https://awakewatches.com/products/son-mai-year-of-the-sssnake?_pos=11&_sid=73d916012&_ss=r", "https://awakewatches.com/products/son-mai-frosted-leaf-royal-red" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "url": "https://awakewatches.com/products/son-mai-year-of-the-sssnake?_pos=11&_sid=73d916012&_ss=r", "canonical_url": "https://awakewatches.com/products/son-mai-year-of-the-sssnake", "product_id": "son-mai-year-of-the-sssnake", "name": "Son M\u00e0i - \"Year of the Sssnake\"", "brand": "AWAKE", "category": "Watches", "sku": "SMSN25AW", "gtin": "4245617899978", "price": 2500, "currency": "EUR", "in_stock": false, "description": "...", "key_specifications": "...", "images": [ "https://awakewatches.com/cdn/shop/files/Son_Mai_-_Year_of_the_SssNAKE_Face.jpg", ... ], "actor_id": "Exe0ftjSE9Qv4aEf9", "run_id": "F6kRv2V7OUMulaFPC" }, { "url": "https://awakewatches.com/products/son-mai-frosted-leaf-royal-red", ... } ] ``` ### Use Cases - **Market Research and Analysis**: Gather detailed product information for competitive analysis. - **Competitive Intelligence**: Monitor competitor offerings to identify market trends. - **Price Monitoring**: Track pricing changes over time to adjust business strategies. - **Content Aggregation**: Compile comprehensive datasets for marketing or sales purposes. - **Academic Research**: Use extracted data for studies in consumer behavior and product design. - **Business Automation**: Integrate with CRM systems for automated inventory updates. ### Installation and Usage 1. Search for "Awakewatches Product Detail Extractor" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters as needed. 4. Click "Start" to begin extraction. 5. Monitor progress in the log section. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array where each object represents a product with fields such as `url`, `canonical_url`, `product_id`, `name`, `brand`, `category`, `sku`, `gtin`, `price`, `currency`, `in_stock`, `description`, `key_specifications`, and `images`. Each field provides specific details about the product, ensuring comprehensive data capture. ### Error Handling The actor is designed to handle common errors such as network issues or invalid URLs gracefully. If an error occurs during scraping, it will be logged in the run's log section for troubleshooting. Users are encouraged to review logs and adjust input parameters if necessary. ### Rate Limiting and Best Practices To avoid being blocked by Awakewatches, adhere to best practices such as: - Respecting `robots.txt` directives. - Implementing delays between requests. - Using a pool of rotating IP addresses if available. ### Limitations and Considerations - The actor is specifically designed for the Awakewatches website. It may not work with other sites without modifications. - Ensure that URLs provided are valid and accessible to avoid errors during scraping. - Be mindful of legal considerations when scraping data, ensuring compliance with relevant laws and terms of service. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Contact Us](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. ## `item_limit` (type: `integer`): Maximum items to scrape per actor run. Set to 0 for no limit. ## Actor input object example ```json { "Urls": [ "https://awakewatches.com/products/son-mai-year-of-the-sssnake?_pos=11&_sid=73d916012&_ss=r", "https://awakewatches.com/products/son-mai-frosted-leaf-royal-red" ], "item_limit": 10 } ``` # Actor output Schema ## `results` (type: `string`): Scraped data items from dataset # 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/awakewatches-product-detail-extractor").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/awakewatches-product-detail-extractor").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/awakewatches-product-detail-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/awakewatches-product-detail-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Awakewatches Product Detail Extractor", "description": "The Awakewatches Product Detail Extractor efficiently scrapes detailed product data from Awakewatches, capturing names, prices, specs, and images....", "version": "0.0", "x-build-id": "tBIau2IhnpK3o2AVX" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~awakewatches-product-detail-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-awakewatches-product-detail-extractor", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~awakewatches-product-detail-extractor/runs": { "post": { "operationId": "runs-sync-getdataforme-awakewatches-product-detail-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~awakewatches-product-detail-extractor/run-sync": { "post": { "operationId": "run-sync-getdataforme-awakewatches-product-detail-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://awakewatches.com/products/son-mai-year-of-the-sssnake?_pos=11&_sid=73d916012&_ss=r", "https://awakewatches.com/products/son-mai-frosted-leaf-royal-red" ], "items": { "type": "string" } }, "item_limit": { "title": "Item limit", "minimum": 0, "type": "integer", "description": "Maximum items to scrape per actor run. Set to 0 for no limit.", "default": 10 } } }, "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 } } } } } } } } } } ```