# Allstarperformance Productinfo Spider (`getdataforme/allstarperformance-productinfo-spider`) Actor Automate data collection from Allstar Performance with our web scraping tool. Extract comprehensive product details like name, price, and images efficiently. Customize URLs and limits for tailored sessions, ensuring high reliability and quality. Supports JSON, CSV, Excel outputs.... - **URL**: https://apify.com/getdataforme/allstarperformance-productinfo-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 --- ## Allstarperformance Productinfo Spider ### Introduction The Allstarperformance Productinfo Spider is a powerful web scraping tool designed to extract detailed product information from the Allstar Performance website. This actor automates data collection, ensuring accuracy and efficiency in gathering essential product details such as name, description, price, images, and more. ### Features - **Comprehensive Data Extraction**: Captures extensive product details including descriptions, prices, SKUs, and images. - **Customizable Input Parameters**: Allows users to specify URLs and set item limits for tailored scraping sessions. - **High Reliability**: Ensures consistent data quality with robust error handling mechanisms. - **User-Friendly Configuration**: Simple setup process with clear input parameters for ease of use. - **Flexible Output Formats**: Supports multiple export formats like JSON, CSV, and Excel. ### Input Parameters | Parameter | Type | Required | Description | Example | |-------------|----------|----------|-----------------------------------------------------------------------------|----------------------------------------------| | `Urls` | Array | Yes | The URLs for the spider to scrape. Must be valid HTTP/HTTPS links. | `["https://example.com/product"]` | | `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://allstarperformance.com/cleaning-cloths-power-scrub-80-pack-all12018/" ], "item_limit": 10 } ```` #### Output JSON ```json [ { "url": "https://allstarperformance.com/cleaning-cloths-power-scrub-80-pack-all12018/", "product_name": "Cleaning Cloths Power Scrub 80 pack ALL12018", "description": "Product Info   Alternate Description CROC CLOTH POWER SCRUB 80PK Part Number ALL12018 Vendor Part Number ALL12018 UPC Code 810145033041 Package Weight 4.35 lbs 1.97 kg Package Length 10.5 in 26.67 cm Package Width 6.5 in 16.51 cm Package Height 3.5 in 8.89 cm", "sku": "ALL12018", "brand": "Allstar Performance", "category": [ "Road Race " ], "availability": "InStock", "condition": "NewCondition", "price": 24.99, "currency": "USD", "product_image": "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/original/products/11498/23719/ALL12018__32765.1764858320.jpg?c=2", "images": [ "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/original/products/11498/23719/ALL12018__32765.1764858320.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/1280w/products/11498/23719/ALL12018__32765.1764858320.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/1280x1280/products/11498/23719/ALL12018__32765.1764858320.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/608x608/products/11498/23719/ALL12018__32765.1764858320.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/original/products/11498/23720/ALL12018_2__35781.1764858320.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/1280w/products/11498/23720/ALL12018_2__35781.1764858320.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/1280x1280/products/11498/23720/ALL12018_2__35781.1764858320.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/608x608/products/11498/23720/ALL12018_2__35781.1764858320.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/original/products/11498/23721/ALL12018_3__63055.1764858241.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/1280w/products/11498/23721/ALL12018_3__63055.1764858241.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/1280x1280/products/11498/23721/ALL12018_3__63055.1764858241.jpg?c=2", "https://cdn11.bigcommerce.com/s-k9b7cqysdc/images/stencil/608x608/products/11498/23721/ALL12018_3__63055.1764858241.jpg?c=2" ], "actor_id": "sxPplHVhHgageGbzX", "run_id": "hyZX5VidSVUlIaCoQ" } ] ``` ### Use Cases - **Market Research and Analysis**: Gather competitive product data for strategic insights. - **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 patterns. - **Business Automation**: Integrate with systems for automated inventory updates. ### Installation and Usage 1. Search for "Allstarperformance Productinfo 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 objects with fields such as `url`, `product_name`, `description`, `sku`, `brand`, `category`, `availability`, `condition`, `price`, `currency`, `product_image`, and `images`. Each object represents a product scraped from the specified URLs. ### Error Handling The spider includes error handling to manage common issues such as network errors, invalid URLs, or changes in website structure. If an error occurs, it logs detailed information for troubleshooting. ### Rate Limiting and Best Practices - **Respect Robots.txt**: Ensure compliance with site policies. - **Throttle Requests**: Adjust request rates to avoid overloading servers. - **Monitor Logs**: Regularly check logs for errors or warnings. ### Limitations and Considerations - The spider is designed specifically for Allstar Performance URLs. - Changes in website structure may require updates to the spider's configuration. - Ensure compliance with legal and ethical web scraping guidelines. ### Support For custom/simplified outputs or bug reports, please contact: - Email: support@getdataforme.com - Subject line: "custom support" - Contact form: [Get Data For Me Contact](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://allstarperformance.com/cleaning-cloths-power-scrub-80-pack-all12018/" ], "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/allstarperformance-productinfo-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/allstarperformance-productinfo-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/allstarperformance-productinfo-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/allstarperformance-productinfo-spider", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Allstarperformance Productinfo Spider", "description": "Automate data collection from Allstar Performance with our web scraping tool. Extract comprehensive product details like name, price, and images efficiently. Customize URLs and limits for tailored sessions, ensuring high reliability and quality. Supports JSON, CSV, Excel outputs....", "version": "0.0", "x-build-id": "bCkoqZWOt0NU5c7hE" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~allstarperformance-productinfo-spider/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-allstarperformance-productinfo-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~allstarperformance-productinfo-spider/runs": { "post": { "operationId": "runs-sync-getdataforme-allstarperformance-productinfo-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~allstarperformance-productinfo-spider/run-sync": { "post": { "operationId": "run-sync-getdataforme-allstarperformance-productinfo-spider", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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://allstarperformance.com/cleaning-cloths-power-scrub-80-pack-all12018/" ], "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 } } } } } } } } } } ```