# Puma Urls Spider (`getdataforme/puma-urls-spider`) Actor The Puma Urls Spider is an Apify Actor that efficiently scrapes detailed product data from Puma's website, including names, prices, descriptions, images, and availability.... - **URL**: https://apify.com/getdataforme/puma-urls-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN 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 ### Description The Puma Urls Spider is an Apify Actor that efficiently scrapes detailed product data from Puma's website, including names, prices, descriptions, images, and availability.... --- ## Puma Urls Spider ### Introduction The Puma Urls Spider is a powerful Apify Actor designed to scrape detailed product information from Puma's official website. It efficiently extracts key data such as product names, prices, descriptions, images, and availability from specified URLs, enabling seamless data collection for e-commerce analysis and automation. This tool is ideal for businesses and researchers needing accurate, structured data from Puma's product pages without manual effort. ### Features - **Efficient Scraping**: Quickly extracts comprehensive product details from Puma URLs, including pricing, descriptions, and images. - **High Data Quality**: Ensures reliable and structured output with consistent formatting for easy integration into databases or analytics tools. - **Scalable Performance**: Handles multiple URLs concurrently, making it suitable for batch processing and large-scale data collection. - **Error-Resilient**: Built-in handling for common web scraping challenges like dynamic content and rate limits. - **Flexible Output**: Supports JSON format for easy export and further processing. - **User-Friendly Configuration**: Simple input setup with validation to prevent errors. - **Real-Time Monitoring**: Provides logs and progress tracking during runs for transparency. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|--------|----------|-------------|---------| | Urls | array | Yes | A list of Puma product URLs to scrape. Each URL must be a valid HTTP or HTTPS link. | ["https://us.puma.com/us/en/pd/speedcat-og-sneakers/398846?swatch=64"] | ### Example Usage #### Input Configuration ```json { "Urls": [ "https://us.puma.com/us/en/pd/speedcat-og-sneakers/398846?swatch=64" ] } ```` #### Output Example ```json [ { "url": "https://us.puma.com/us/en/pd/speedcat-og-sneakers/398846?swatch=64", "product_name": "Speedcat OG Sneakers", "product_id": "398846", "sku": "4069161578540", "brand": "PUMA", "color": "Shadow Gray-PUMA Black", "description": "An icon of racing culture, the PUMA Speedcat has been synonymous with speed, precision, and unparalleled performance for over 25 years. It originated as a fireproof Formula 1® footwear style, but over the decades it found itself on a new circuit – transcending the tracks of Monaco for the streets of global fashion capitals. Wrapped in soft suede and premium leather, this silhouette is reissued in its original red and black colorways with a new PUMA Cat Logo at the front.", "price": 100, "currency": "USD", "availability": "InStock", "price_valid_until": "2026-12-10T21:00:45.000Z", "images": [ "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/398846/64/sv01/fnd/PNA/fmt/png/Speedcat-OG-Sneakers", "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/398846/64/mod01/fnd/PNA/fmt/png/Speedcat-OG-Sneakers", "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/398846/64/mod02/fnd/PNA/fmt/png/Speedcat-OG-Sneakers", "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/398846/64/fnd/PNA/fmt/png/Speedcat-OG-Sneakers", "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/398846/64/bv/fnd/PNA/fmt/png/Speedcat-OG-Sneakers", "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/398846/64/sv02/fnd/PNA/fmt/png/Speedcat-OG-Sneakers", "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/398846/64/sv03/fnd/PNA/fmt/png/Speedcat-OG-Sneakers", "https://images.puma.com/image/upload/f_auto,q_auto,b_rgb:fafafa,w_2000,h_2000/global/398846/64/sv04/fnd/PNA/fmt/png/Speedcat-OG-Sneakers" ], "actor_id": "lGZl7OWPAJqkO0sFI", "run_id": "1iusn6OGq9k32GmuV" } ] ``` ### Use Cases - **Market Research**: Analyze Puma product trends, pricing strategies, and consumer preferences across regions. - **Competitive Intelligence**: Compare Puma's offerings with competitors by extracting detailed product specs and images. - **Price Monitoring**: Track price changes and availability for e-commerce platforms or retail automation. - **Content Aggregation**: Build product catalogs or databases for fashion blogs, review sites, or affiliate marketing. - **Academic Research**: Study consumer behavior in sports apparel by collecting structured data on Puma products. - **Business Automation**: Integrate scraped data into inventory management systems or sales forecasting tools. ### Installation and Usage 1. Search for "Puma Urls Spider" in the Apify Store. 2. Click "Try for free" or "Run". 3. Configure input parameters (e.g., list of URLs). 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 Actor outputs data in JSON format as an array of objects, each representing a scraped product. Key fields include: - `url`: The original product URL. - `product_name`: The name of the product. - `product_id` and `sku`: Unique identifiers. - `brand`, `color`, `description`: Product details. - `price`, `currency`, `availability`, `price_valid_until`: Pricing and stock info. - `images`: Array of image URLs. - `actor_id` and `run_id`: Metadata for tracking. This structured output ensures easy parsing and integration. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: 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. ## Actor input object example ```json { "Urls": [ "https://us.puma.com/us/en/pd/speedcat-og-sneakers/398846?swatch=64" ] } ``` # 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 = { "Urls": [ "https://us.puma.com/us/en/pd/speedcat-og-sneakers/398846?swatch=64" ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/puma-urls-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 = { "Urls": ["https://us.puma.com/us/en/pd/speedcat-og-sneakers/398846?swatch=64"] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/puma-urls-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 '{ "Urls": [ "https://us.puma.com/us/en/pd/speedcat-og-sneakers/398846?swatch=64" ] }' | apify call getdataforme/puma-urls-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/puma-urls-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Puma Urls Spider", "description": "The Puma Urls Spider is an Apify Actor that efficiently scrapes detailed product data from Puma's website, including names, prices, descriptions, images, and availability....", "version": "0.0", "x-build-id": "rWIBPoN7z6AgFyVD2" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~puma-urls-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-puma-urls-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~puma-urls-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-puma-urls-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~puma-urls-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-puma-urls-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "required": [ "Urls" ], "properties": { "Urls": { "title": "Urls", "minItems": 1, "type": "array", "description": "The urls for the spider.", "default": [ "https://us.puma.com/us/en/pd/speedcat-og-sneakers/398846?swatch=64" ], "items": { "type": "string" } } } }, "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 } } } } } } } } } } ```