# Atm Collection Product Detail Extractor (`getdataforme/atm-collection-product-detail-extractor`) Actor Efficiently scrape detailed product information from Atm Collection, capturing names, images, prices, and descriptions. Offers flexible configuration, high-quality output for analysis, and supports market research, competitive intelligence, and business automation.... - **URL**: https://apify.com/getdataforme/atm-collection-product-detail-extractor.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce, Lead generation, Automation - **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 --- ## Atm Collection Product Detail Extractor ### Introduction The **Atm Collection Product Detail Extractor** is a powerful tool designed to scrape detailed product information from the Atm Collection website. It efficiently extracts data such as product names, images, prices, and descriptions, providing comprehensive insights for various applications. ### Features - **Comprehensive Data Extraction**: Captures all essential product details including name, price, size variations, and materials. - **High-Quality Output**: Ensures reliable and accurate data suitable for analysis and reporting. - **Flexible Configuration**: Allows customization of input URLs and item limits to suit specific needs. - **Efficient Performance**: Optimized for speed and efficiency, minimizing resource usage. - **User-Friendly Interface**: Easy setup and execution with clear instructions. ### Input Parameters | Parameter | Type | Required | Description | Example | |---------------|---------|----------|-----------------------------------------------------------------------------|-------------------------------------------------------------------------| | ProductUrls | array | Yes | The product URLs for the spider. | `["https://atmcollection.com/collections/new-arrivals/products/vintage-jersey-tank-white-1"]` | | item_limit | integer | No | Maximum items to scrape per actor run. Set to 0 for no limit. | `10` | ### Example Usage #### Input JSON ```json { "ProductUrls": [ "https://atmcollection.com/collections/new-arrivals/products/vintage-jersey-tank-white-1", "https://atmcollection.com/collections/womens-and-mens-sale/products/boucle-short-sleeve-tee-chalk" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "product_name": "VINTAGE JERSEY TANK", "product_image": "http://atmcollection.com/cdn/shop/files/M61CT002_VINTAGEJERSEYTANK_WHITE_17701.jpg?v=1771920027", "images": [ "https://atmcollection.com/cdn/shop/files/M61CT002_VINTAGEJERSEYTANK_WHITE_17701.jpg?v=1771920027", "https://atmcollection.com/cdn/shop/files/M61CT002_VINTAGEJERSEYTANK_WHITE_17679.jpg?v=1771920027" ], "actual_price": "$90.00", "discounted_price": null, "currency": "USD", "size_variations": ["L", "M", "S", "XL", "XXL"], "product_details": "Body Length 28\" The Vintage Jersey Tank features a relaxed and subtle scoop neck...", "materials_and_care": "100% Cotton Made In Peru Hand Wash Cold Recommended Machine Wash Cold In Mesh Bag, Gentle cycle Do not bleach Dry Flat. Cool Iron If Needed Style# M61CT002", "shipping_and_order_details": "SHIPPING: Free US Domestic Ground Shipping for orders over $100...", "color_variations": [ { "color": "White", "product_url": "https://atmcollection.com/collections/new-arrivals/products/vintage-jersey-tank-white-1", "images": ["https://atmcollection.com/cdn/shop/files/M61CT002_VINTAGEJERSEYTANK_WHITE_17701.jpg?v=1771920027"] } ], "actor_id": "RuhgdKMnUWWS6J5aN", "run_id": "YdxpDw5HVkcwwqW3I" }, { "product_name": "BOUCLE SHORT SLEEVE TEE", "product_image": "http://atmcollection.com/cdn/shop/files/W61KT101_BOUCLESHORTSLEEVETEE_CHALK_8655.jpg?v=1773351258", "images": [ "https://atmcollection.com/cdn/shop/files/W61KT101_BOUCLESHORTSLEEVETEE_CHALK_8655.jpg?v=1773351258" ], "actual_price": null, "discounted_price": "$120.00", "currency": "USD", "size_variations": ["M", "L"], "product_details": "Crafted from a sumptuous cotton-blend bouclé, this short-sleeve knit tee...", "materials_and_care": "58% Nylon, 42% Cotton Made In China Hand Wash Cold With Like Colors Do not bleach Reshape Dry Flat Cool Iron If Needed Style# W61KT101", "shipping_and_order_details": "SHIPPING: Free US Domestic Ground Shipping for orders over $100...", "color_variations": [ { "color": "Chalk", "product_url": "https://atmcollection.com/collections/womens-and-mens-sale/products/boucle-short-sleeve-tee-chalk", "images": ["https://atmcollection.com/cdn/shop/files/W61KT101_BOUCLESHORTSLEEVETEE_CHALK_8655.jpg?v=1773351258"] } ], "actor_id": "RuhgdKMnUWWS6J5aN", "run_id": "YdxpDw5HVkcwwqW3I" } ] ``` ### 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**: Compile comprehensive product catalogs for marketing or sales purposes. - **Academic Research**: Use detailed product data for studies in consumer behavior, economics, or fashion trends. - **Business Automation**: Integrate with CRM systems for automated updates on product information. ### Installation and Usage 1. Search for "Atm Collection 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. 6. Export results in your preferred format (JSON, CSV, Excel). ### Output Format The output is a JSON array containing objects with detailed product information. Key fields include: - `product_name`: The name of the product. - `product_image`: URL to the main product image. - `images`: Array of URLs for additional images. - `actual_price` and `discounted_price`: Pricing details. - `currency`: Currency used for pricing. - `size_variations`: Available sizes for the product. - `product_details`: Description and features of the product. - `materials_and_care`: Care instructions and material composition. - `shipping_and_order_details`: Information on shipping policies. - `color_variations`: Different color options available. ### 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 ## `ProductUrls` (type: `array`): The product 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 { "ProductUrls": [ "https://atmcollection.com/collections/new-arrivals/products/vintage-jersey-tank-white-1", "https://atmcollection.com/collections/womens-and-mens-sale/products/boucle-short-sleeve-tee-chalk" ], "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/atm-collection-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/atm-collection-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/atm-collection-product-detail-extractor --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/atm-collection-product-detail-extractor", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Atm Collection Product Detail Extractor", "description": "Efficiently scrape detailed product information from Atm Collection, capturing names, images, prices, and descriptions. Offers flexible configuration, high-quality output for analysis, and supports market research, competitive intelligence, and business automation....", "version": "0.0", "x-build-id": "2ECocb3vrcFwkbD1I" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~atm-collection-product-detail-extractor/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-atm-collection-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~atm-collection-product-detail-extractor/runs": { "post": { "operationId": "runs-sync-getdataforme-atm-collection-product-detail-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~atm-collection-product-detail-extractor/run-sync": { "post": { "operationId": "run-sync-getdataforme-atm-collection-product-detail-extractor", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "ProductUrls": { "title": "Product Urls", "minItems": 1, "type": "array", "description": "The product urls for the spider.", "default": [ "https://atmcollection.com/collections/new-arrivals/products/vintage-jersey-tank-white-1", "https://atmcollection.com/collections/womens-and-mens-sale/products/boucle-short-sleeve-tee-chalk" ], "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 } } } } } } } } } } ```