# Adolfodominguez Products Urls Ec Spider (`getdataforme/adolfodominguez-products-urls-ec-spider`) Actor The Adolfodominguez Products Urls Ec Spider is a web scraping tool for extracting product data from the Adolfodominguez website.... - **URL**: https://apify.com/getdataforme/adolfodominguez-products-urls-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 Products Urls Ec Spider #### Introduction The **Adolfodominguez Products Urls Ec Spider** is a powerful web scraping tool designed to extract detailed product information from the Adolfodominguez website. This actor allows users to gather data on various products, including names, prices, and images, facilitating market research, competitive analysis, and business intelligence. #### Features - **Comprehensive Data Extraction**: Captures essential product details such as name, price, brand, and URLs. - **Customizable Queries**: Allows users to specify search terms for targeted scraping. - **Flexible Item Limit**: Users can set a maximum number of items to scrape per run. - **High-Quality Output**: Provides structured JSON output with clear field definitions. - **Ease of Use**: Simple setup and configuration through the Apify Store interface. #### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-----------------------------------------------------------------------------|------------------| | Queries | array | No | The queries for the spider. | `["polos"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | #### Example Usage ##### Input JSON ```json { "Queries": ["polos"], "item_limit": 10 } ```` ##### Output JSON ```json [ { "query": "polos", "pid": "136021589152", "product_id": "13602158961", "name": "Seersucker tailored blazer", "brand": "Hombre", "price": "360.00", "variant": "Navy blue", "url": "https://www.adolfodominguez.com/en-eu/seersucker-tailored-blazer-136021589152.html", "image_url": "https://www.adolfodominguez.com/dw/image/v2/BDWB_PRD/on/demandware.static/-/Sites-ad-master-catalog/default/dwf53850ea/images/13/6/0/136021589152L.jpg?sw=297", "hover_image_url": "https://www.adolfodominguez.com/dw/image/v2/BDWB_PRD/on/demandware.static/-/Sites-ad-master-catalog/default/dw115ef0aa/images/13/6/0/136021589152D.jpg?sw=297", "actor_id": "KL1GUPzHu2C989RvN", "run_id": "HcLeWQ0OkYhvAUUfA" }, { "query": "polos", "pid": "137021826152", "product_id": "13702182661", "name": "Slim fit tailored blazer", "brand": "Hombre", "price": "345.00", "variant": "Black", "url": "https://www.adolfodominguez.com/en-eu/slim-fit-tailored-blazer-137021826152.html", "image_url": "https://www.adolfodominguez.com/dw/image/v2/BDWB_PRD/on/demandware.static/-/Sites-ad-master-catalog/default/dwe1b4dfbc/images/13/7/0/137021826152L.jpg?sw=297", "hover_image_url": "https://www.adolfodominguez.com/dw/image/v2/BDWB_PRD/on/demandware.static/-/Sites-ad-master-catalog/default/dw5bd68aef/images/13/7/0/137021826152D.jpg?sw=297", "actor_id": "KL1GUPzHu2C989RvN", "run_id": "HcLeWQ0OkYhvAUUfA" }, { "query": "polos", "pid": "137011825152", "product_id": "13701182561", "name": "Regular fit tailored blazer", "brand": "Hombre", "price": "345.00", "variant": "Navy blue", "url": "https://www.adolfodominguez.com/en-eu/regular-fit-tailored-blazer-137011825152.html", "image_url": "https://www.adolfodominguez.com/dw/image/v2/BDWB_PRD/on/demandware.static/-/Sites-ad-master-catalog/default/dw35d7d7e0/images/13/7/0/137011825152L.jpg?sw=297", "hover_image_url": "https://www.adolfodominguez.com/dw/image/v2/BDWB_PRD/on/demandware.static/-/Sites-ad-master-catalog/default/dw3b0b615a/images/13/7/0/137011825152D.jpg?sw=297", "actor_id": "KL1GUPzHu2C989RvN", "run_id": "HcLeWQ0OkYhvAUUfA" } ] ``` #### Use Cases - **Market Research and Analysis**: Gather data to understand market trends and consumer preferences. - **Competitive Intelligence**: Monitor competitors' product offerings and pricing strategies. - **Price Monitoring**: Track price changes over time for strategic decision-making. - **Content Aggregation**: Compile product information for content creation or marketing purposes. - **Academic Research**: Use the data for studies in fashion, economics, or consumer behavior. - **Business Automation**: Integrate with business systems to automate inventory and sales analysis. #### Installation and Usage 1. Search for "Adolfodominguez Products Urls 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 where each object represents a product with fields such as `query`, `pid`, `product_id`, `name`, `brand`, `price`, `variant`, `url`, `image_url`, `hover_image_url`, `actor_id`, and `run_id`. This structured format ensures easy integration into various data processing workflows. #### 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 ## `Queries` (type: `array`): The queries 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 { "Queries": [ "polos" ], "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-products-urls-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-products-urls-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-products-urls-ec-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/adolfodominguez-products-urls-ec-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Adolfodominguez Products Urls Ec Spider", "description": "The Adolfodominguez Products Urls Ec Spider is a web scraping tool for extracting product data from the Adolfodominguez website....", "version": "0.0", "x-build-id": "hQmbZwGw3IIR74fYV" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~adolfodominguez-products-urls-ec-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-adolfodominguez-products-urls-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~adolfodominguez-products-urls-ec-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-adolfodominguez-products-urls-ec-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~adolfodominguez-products-urls-ec-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-adolfodominguez-products-urls-ec-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "Queries": { "title": "Queries", "type": "array", "description": "The queries for the spider.", "default": [ "polos" ], "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 } } } } } } } } } } ```