# GuitarCenter Discovery Scraper (`getdataforme/guitarcenter-discovery-scraper`) Actor Extract comprehensive product data from Guitar Center effortlessly! Scrape detailed info on instruments, gear, and accessories via keyword searches. Key features: flexible queries, scalable results (1-10,000 items), proxy support for reliability, and clean JSON output.... - **URL**: https://apify.com/getdataforme/guitarcenter-discovery-scraper.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, 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 ## GuitarCenter Discovery Scraper The GuitarCenter Discovery Scraper is a powerful Apify Actor designed to extract detailed product information from Guitar Center's website. It enables users to search for musical instruments, gear, and accessories by keyword, retrieving comprehensive data including prices, specifications, reviews, and availability. This tool is ideal for musicians, retailers, and researchers seeking accurate, up-to-date insights into Guitar Center's inventory. ### Features - **Comprehensive Product Data**: Extracts detailed information such as product names, brands, prices, conditions, ratings, reviews, and specifications. - **Flexible Search**: Supports keyword-based queries to find specific items like guitars, drums, or accessories. - **Scalable Results**: Allows setting a maximum number of items to scrape, from 1 to 10,000, ensuring efficient data collection. - **Proxy Support**: Utilizes residential proxies to avoid IP blocking and ensure reliable scraping. - **Structured Output**: Delivers clean JSON data, perfect for integration with databases or analysis tools. - **High Performance**: Built for speed and reliability, handling large searches without compromising data quality. - **Error Handling**: Includes robust mechanisms to manage site changes or temporary issues. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | searchQuery | string | Yes | Keyword to search for products on Guitar Center. | "gretch" | | maxItems | integer | No | Maximum number of product results to scrape (1-10000). | 100 | | proxyConfiguration | object | No | Proxy settings to hide the scraper's origin, using Apify's residential proxies by default. | {"useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"]} | ### Example Usage To run the Actor, provide input parameters in JSON format: ```json { "searchQuery": "yamaha drums", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ```` Example output (truncated for brevity): ```json [ { "objectID": "site51500000422001", "productId": "site51500000000030280", "productName": "Yamaha Rydeen 5-Piece Shell Pack With 22\" Bass Drum - Champagne Glitter", "brand": "Yamaha", "price": 479.99, "listPrice": 479.99, "condition": "New", "seoUrl": "/Yamaha/Rydeen-5-Piece-Shell-Pack-With-22-Bass-Drum-Champagne-Glitter-1500000422001.gc", "imageId": "J50178000009000", "rating": 9, "totalReviews": 4, "inStock": false, "retailOnly": false, "weight": "", "features": [ "Configuration", "Bass Drum(s): 22x16\"", "Tom(s): 10x7\", 12x8\"", "Floor Tom(s): 16x16\"", "Snare: 14x5.5\"", "Total Pieces: 5", "Shells", "Shell Material: Poplar Number of plies: 6 Wrap: Yes Pedals included: No Bass spurs included: Yes Floor tom included: Yes Tom mounts included: Yes (2x CL940LB)", "Other", "Heads: Factory", "Finish Type: Wrap", "Country of Origin: China" ], "specs": "", "storeCount": 0, "skus": [ { "skuId": "site51500000038638", "displayName": "Yamaha Rydeen 5-Piece Shell Pack With 22\" Bass Drum - Burgundy Glitter", "price": 479.99, "listPrice": 479.99, "condition": "New", "imageId": "J50178000002000", "seoUrl": "/Yamaha/Rydeen-5-Piece-Shell-Pack-with-22-in-Bass-Drum-Burgundy-Glitter-1500000038638.gc", "isTopSeller": false, "specialFinancing": true } // Additional SKUs omitted for brevity ], "identifiers": { "gcItemNumber": "119809358", "partNumber": "RDP2F5CPG", "upcCode": "889025155502" } } ] ``` ### Use Cases - **Market Research**: Analyze trends in musical instrument pricing and availability. - **Competitive Intelligence**: Compare Guitar Center's offerings with competitors. - **Price Monitoring**: Track price changes for specific products over time. - **Content Aggregation**: Build databases for e-commerce platforms or blogs. - **Academic Research**: Study consumer preferences in music gear. - **Business Automation**: Automate inventory checks for retailers or resellers. ### Installation and Usage 1. Search for "GuitarCenter Discovery Scraper" 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 Actor outputs a JSON array of product objects. Each object includes fields like `objectID`, `productName`, `brand`, `price`, `rating`, `features` (array of specs), `skus` (array of variants with prices and URLs), and `identifiers` (item numbers and codes). This structured data 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! *** Extract comprehensive product data from Guitar Center with ease! Scrape detailed info on instruments, gear, and accessories using keyword searches. Features include flexible queries, proxy support for reliability, and structured JSON output. Perfect for market research, price monitoring, and competitive analysis. Try it now on Apify Store! (248 characters) # Actor input Schema ## `searchQuery` (type: `string`): Keyword to search ## `maxItems` (type: `integer`): Maximum number of auction results to scrape. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "searchQuery": "gretch", "maxItems": 100, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # Actor output Schema ## `results` (type: `string`): No description # 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 = { "searchQuery": "gretch", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/guitarcenter-discovery-scraper").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 = { "searchQuery": "gretch", "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("getdataforme/guitarcenter-discovery-scraper").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 '{ "searchQuery": "gretch", "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/guitarcenter-discovery-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/guitarcenter-discovery-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "GuitarCenter Discovery Scraper", "description": "Extract comprehensive product data from Guitar Center effortlessly! Scrape detailed info on instruments, gear, and accessories via keyword searches. Key features: flexible queries, scalable results (1-10,000 items), proxy support for reliability, and clean JSON output....", "version": "0.0", "x-build-id": "bOYFVnH6HE20jbeQP" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~guitarcenter-discovery-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-guitarcenter-discovery-scraper", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~guitarcenter-discovery-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-guitarcenter-discovery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~guitarcenter-discovery-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-guitarcenter-discovery-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search Query", "type": "string", "description": "Keyword to search " }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 10000, "type": "integer", "description": "Maximum number of auction results to scrape.", "default": 100 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "Specifies proxy servers that will be used by the scraper in order to hide its origin.", "default": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } } } }, "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 } } } } } } } } } } ```