# Alfred Product Urls Ec Spider (`getdataforme/alfred-product-urls-ec-spider`) Actor The Alfred Product Urls Ec Spider is a web scraping tool for extracting detailed product data from the Alfred Dunner website, including IDs, names, prices, and images.... - **URL**: https://apify.com/getdataforme/alfred-product-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 --- ## Alfred Product Urls Ec Spider ### Introduction The **Alfred Product Urls Ec Spider** is a powerful web scraping tool designed to extract detailed product information from the Alfred Dunner website. It efficiently gathers data such as product IDs, names, prices, and images, providing valuable insights for market research and competitive analysis. ### Features - **Comprehensive Data Extraction**: Captures essential product details including ID, SKU, name, price, currency, brand, and image URLs. - **Flexible URL Configuration**: Allows users to specify multiple URLs for targeted scraping. - **Customizable Item Limits**: Users can set a maximum number of items to scrape per run, optimizing performance. - **High Data Quality**: Ensures reliable and accurate data collection with minimal errors. - **User-Friendly Interface**: Easy setup and configuration through the Apify Store. ### Input Parameters | Parameter | Type | Required | Description | Example | |------------|---------|----------|-----------------------------------------------------------------------------|-------------------------------------------------------------------------| | Urls | array | Yes | The URLs for the spider to scrape. | `["https://alfreddunner.com/shop/?search_query=Shorts"]` | | 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://alfreddunner.com/shop/?search_query=Shorts&fallbackQuery=tshirt" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "Product ID": "8595", "SKU": "30100YGAD", "Name": "Women's Tailored Flat Front Slant Pocket Short Length Pant", "URL": "https://alfreddunner.com//women-s-tailored-flat-front-slant-pocket-short-length-pant/", "Price": "17.35", "Currency": "$", "Brand": "Alfred Dunner", "Image": "https://cdn11.bigcommerce.com/s-yzdq8cilyh/images/stencil/640w/products/8595/65255/Alfresco_0021__30906.1.jpg", "actor_id": "RBKFqVMVWxhrQP1Ja", "run_id": "AuoKcTBxrWQ1Dj2ti" }, { "Product ID": "8823", "SKU": "32142YIAD", "Name": "Women's Solid Rolled Short Sleeve Tee", "URL": "https://alfreddunner.com//women-s-solid-rolled-short-sleeve-tee/", "Price": "23.8", "Currency": "$", "Brand": "Alfred Dunner", "Image": "https://cdn11.bigcommerce.com/s-yzdq8cilyh/images/stencil/640w/products/8823/64433/e070357d9271176c6fcd7c8a3d66e24a6cac168e__56244.1.jpg", "actor_id": "RBKFqVMVWxhrQP1Ja", "run_id": "AuoKcTBxrWQ1Dj2ti" }, { "Product ID": "8840", "SKU": "33153YJAD", "Name": "Women's Embroidered Floral Neck Short Sleeve Tee", "URL": "https://alfreddunner.com//women-s-embroidered-floral-neck-short-sleeve-tee/", "Price": "23.8", "Currency": "$", "Brand": "Alfred Dunner", "Image": "https://cdn11.bigcommerce.com/s-yzdq8cilyh/images/stencil/640w/products/8840/65473/33153__49391.1.jpg", "actor_id": "RBKFqVMVWxhrQP1Ja", "run_id": "AuoKcTBxrWQ1Dj2ti" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather competitive product data for strategic planning. - **Competitive Intelligence**: Monitor competitor pricing and offerings. - **Price Monitoring**: Track price changes over time to identify trends. - **Content Aggregation**: Compile product information for content creation. - **Academic Research**: Collect data for studies on e-commerce trends. - **Business Automation**: Integrate with systems for automated inventory updates. ### Installation and Usage 1. Search for "Alfred Product 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 of objects, each representing a product with fields such as: - **Product ID**: Unique identifier for the product. - **SKU**: Stock Keeping Unit number. - **Name**: Product name. - **URL**: Direct link to the product page. - **Price**: Current price of the product. - **Currency**: Currency symbol used in pricing. - **Brand**: Brand name associated with the product. - **Image**: URL of the product image. - **actor\_id**: Identifier for the actor instance. - **run\_id**: Identifier for the specific run. ### 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://alfreddunner.com/shop/?search_query=Shorts&fallbackQuery=tshirt" ], "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/alfred-product-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/alfred-product-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/alfred-product-urls-ec-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/alfred-product-urls-ec-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Alfred Product Urls Ec Spider", "description": "The Alfred Product Urls Ec Spider is a web scraping tool for extracting detailed product data from the Alfred Dunner website, including IDs, names, prices, and images....", "version": "0.0", "x-build-id": "WhmBCUXiAIpPOoMlS" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~alfred-product-urls-ec-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-alfred-product-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~alfred-product-urls-ec-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-alfred-product-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~alfred-product-urls-ec-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-alfred-product-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": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://alfreddunner.com/shop/?search_query=Shorts&fallbackQuery=tshirt" ], "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 } } } } } } } } } } ```