# Adolfodominguez Product Details Ec Spider (`getdataforme/adolfodominguez-product-details-ec-spider`) Actor The Adolfodominguez Product Details Ec Spider is a web scraping tool for extracting detailed product information from the Adolfodominguez website. It efficiently gathers data like pricing, availability, and specifications in structured JSON format.... - **URL**: https://apify.com/getdataforme/adolfodominguez-product-details-ec-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, 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 --- ## README.md ### Adolfodominguez Product Details Ec Spider #### Introduction The **Adolfodominguez Product Details Ec Spider** is a specialized web scraping tool designed to extract detailed product information from the Adolfodominguez website. It efficiently gathers comprehensive data, including pricing, availability, and product specifications, providing valuable insights for various applications. #### Features - Extracts detailed product information such as descriptions, prices, and availability. - Supports multiple URLs for batch processing of products. - Configurable item limit to control the number of items scraped per run. - Outputs structured JSON data with rich product details. - Ensures high-quality and reliable data extraction. - Optimized for performance with minimal resource usage. #### Input Parameters | Parameter | Type | Required | Description | Example | |------------|----------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | Urls | array | Yes | The URLs for the spider to scrape. | `["https://www.adolfodominguez.com/en-eu/..."]` | | 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://www.adolfodominguez.com/en-eu/structured-knit-rolled-neck-t-shirt-173011204161.html" ], "item_limit": 10 } ```` ##### Output JSON ```json [ { "url": "https://www.adolfodominguez.com/en-eu/structured-knit-rolled-neck-t-shirt-173011204161.html", "pid": "173011204161", "master_pid": "17301120461", "name": "Structured knit rolled neck T-shirt", "sku": "173011204161", "brand": "", "description": "Yellow structured knit T-shirt. Regular fit. Long sleeve. Rolled neck. Rolled hem. Embroidered logo on the hem.", "sustainability": "Organic cotton 52%. Soft to the touch. Breathable and resistant. Cultivated without pesticides or fertilizers. Respectful to the earth and people. Responsible viscose 26%. Feels similar to cotton. Soft and lightweight. Cellulosic fiber extracted from certified wood in responsibly managed forests. Minimizes the consumption of natural resources. Linen 22%. The coolest and most breathable fabric. The beauty of its wrinkles. One of the most sustainable fibers requiring minimal water and intervention.", "composition": "Exterior: 52% Cotton 26% Viscose 22% Linen", "care_instructions": [ "Do not bleach", "Do not tumble dry", "Iron max.110\u00bac", "Do not dry clean", "Machine wash soft max 30\u00bac", "Wash inside out" ], "price_sales": "66.00", "price_list": "", "price_currency": "EUR", "discount_percentage": "31%", "availability": "http://schema.org/InStock", "color": "Yellow", "available_colors": [ { "color_id": "4101", "color_name": "Yellow", "color_pid": "173011204161", "swatch_image": "/on/demandware.static/-/Sites-ad-master-catalog/default/dw00a24253/images/17/3/0/173011204161C.jpg" }, { "color_id": "0153", "color_name": "White/Sand", "color_pid": "173011204261", "swatch_image": "/on/demandware.static/-/Sites-ad-master-catalog/default/dwcc5a173c/images/17/3/0/173011204261C.jpg" } ], "available_sizes": [ { "size": "S", "status": "in_stock", "size_pid": "173011204161" }, { "size": "M", "status": "in_stock", "size_pid": "173011204161" }, { "size": "L", "status": "in_stock", "size_pid": "173011204161" }, { "size": "XL", "status": "in_stock", "size_pid": "173011204161" }, { "size": "XXL", "status": "out_of_stock", "size_pid": "173011204161" } ], "model_height": "Model Height 180 cm.", "model_size": "Size M", "images": [ "/on/demandware.static/-/Sites-ad-master-catalog/default/dw5f86a5b0/images/17/3/0/173011204161A1.jpg", "/on/demandware.static/-/Sites-ad-master-catalog/default/dw794d7989/images/17/3/0/173011204161A2.jpg" ], "twitter_image": "https://www.adolfodominguez.com/on/demandware.static/-/Sites-ad-master-catalog/default/dw5f86a5b0/images/17/3/0/173011204161A1.jpg", "json_ld": { "@context": "http://schema.org/", "@type": "Product", "name": "Structured knit rolled neck T-shirt", "description": "Yellow structured knit T-shirt. Regular fit. Long sleeve. Rolled neck. Rolled hem. Embroidered logo on the hem.", "mpn": "173011204161", "sku": "173011204161", "image": [ null, null ], "offers": { "url": {}, "@type": "Offer", "priceCurrency": "EUR", "price": "66.00", "availability": "http://schema.org/InStock" } }, "actor_id": "57B4hSwaogR7p2eFP", "run_id": "nuyZ0joZ4qSqX1YMG" } ] ``` #### Use Cases - **Market Research and Analysis**: Gain insights into product offerings, pricing strategies, and market trends. - **Competitive Intelligence**: Monitor competitor products and adjust business strategies accordingly. - **Price Monitoring**: Track price changes over time to identify opportunities for promotions or adjustments. - **Content Aggregation**: Collect comprehensive product data for use in e-commerce platforms or content marketing. - **Academic Research**: Use detailed product information for studies on consumer behavior, sustainability, etc. - **Business Automation**: Automate the collection of product data for inventory management and sales forecasting. #### Installation and Usage 1. Search for "Adolfodominguez Product Details Ec Spider" 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. 6. Export results in your preferred format (JSON, CSV, Excel). #### Output Format The output is a JSON array containing detailed product information. Key fields include: - `url`: The URL of the scraped product page. - `pid` and `master_pid`: Product identifiers. - `name`, `sku`, `brand`: Basic product details. - `description`: Detailed product description. - `sustainability`, `composition`: Material and sustainability information. - `care_instructions`: Instructions for maintaining the product. - `price_sales`, `price_currency`: Pricing details. - `availability`: Stock status. - `color`, `available_colors`: Color options with identifiers and images. - `available_sizes`: Size availability. - `model_height`, `model_size`: Model information. - `images`: List of image URLs. - `json_ld`: Structured data in JSON-LD format for SEO purposes. #### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me](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://www.adolfodominguez.com/en-eu/structured-knit-rolled-neck-t-shirt-173011204161.html" ], "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/adolfodominguez-product-details-ec-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/adolfodominguez-product-details-ec-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/adolfodominguez-product-details-ec-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/adolfodominguez-product-details-ec-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Adolfodominguez Product Details Ec Spider", "description": "The Adolfodominguez Product Details Ec Spider is a web scraping tool for extracting detailed product information from the Adolfodominguez website. It efficiently gathers data like pricing, availability, and specifications in structured JSON format....", "version": "0.0", "x-build-id": "hNr0xbsSxr9KJAvtu" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~adolfodominguez-product-details-ec-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-adolfodominguez-product-details-ec-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~adolfodominguez-product-details-ec-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-adolfodominguez-product-details-ec-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~adolfodominguez-product-details-ec-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-adolfodominguez-product-details-ec-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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.adolfodominguez.com/en-eu/structured-knit-rolled-neck-t-shirt-173011204161.html" ], "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 } } } } } } } } } } ```