# Virgin Megastore Crawler (`guacamaya/virgin-megastore-crawler`) Actor Scrapes product data from the Virgin Megastore website. It extracts detailed information about products, including names, prices, brands, descriptions, and more. This scraper is perfect for price monitoring, product research, or maintaining an up-to-date catalog of Virgin Megastore products. - **URL**: https://apify.com/guacamaya/virgin-megastore-crawler.md - **Developed by:** [Rafael Marcano](https://apify.com/guacamaya) (community) - **Categories:** E-commerce, Lead generation - **Stats:** 1 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $15.00/month + usage To use this Actor, you pay a monthly rental fee to the developer. The rent is subtracted from your prepaid usage every month after the free trial period.You also pay for the Apify platform usage, which gets cheaper the higher Apify subscription plan you have. Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#rental-actors ## 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 ## Virgin Megastore Scraper ### 🛍️ Overview This Apify actor scrapes product data from the Virgin Megastore website. It extracts detailed information about products, including names, prices, brands, descriptions, and more. This scraper is perfect for price monitoring, product research, or maintaining an up-to-date catalog of Virgin Megastore products. ### ✨ Features - Scrapes product details from Virgin Megastore - Customizable search terms and start URLs - Adjustable crawling speed and depth - Extracts key product information: - SKU - Product URL - Title - Price - Brand - Description - Primary Image URL ### 🔧 Input Configuration | Field | Type | Description | | ------------- | ----- | ------------------------------------------------------------ | | `startUrls` | array | List of URLs to start crawling from (required) | | `searchTerms` | array | List of search terms to focus the crawl on specific products | ### 📊 Output The actor outputs a dataset with the following schema for each product: ```json json { "sku": "string", "url": "string", "title": "string", "price": "string", "brand": "string", "description": "string", "primaryImage": "string" } ```` ### 💡 Use Cases 1. **Price Monitoring**: Track price changes of specific products over time. 2. **Competitive Analysis**: Compare Virgin Megastore's offerings with other retailers. 3. **Product Research**: Gather detailed information about products in specific categories. 4. **Inventory Tracking**: Monitor product availability and new arrivals. ### 🚀 Getting Started 1. **Create an Apify account**: Sign up at [Apify](https://my.apify.com/) if you haven't already. 2. **Open the Virgin Megastore Scraper**: Find it in the Apify Store or access it directly via the provided link. 3. **Configure the actor**: - Set `startUrls` to the Virgin Megastore pages you want to scrape. - (Optional) Add `searchTerms` to focus on specific products. 4. **Run the actor**: Click the "Start" button to begin the scraping process. 5. **Access your data**: Once the run is complete, you can view, download, or access the data via API. ### 📝 Notes - Respect Virgin Megastore's robots.txt and terms of service when using this scraper. - Excessive scraping may lead to IP blocks. Use appropriate delays and proxy rotation if necessary. - The structure of the Virgin Megastore website may change over time. If you encounter any issues, please report them so the scraper can be updated. Happy scraping! # Actor input Schema ## `startUrls` (type: `array`): List of URLs to start crawling from ## `query` (type: `string`): The search query to find specific attorneys or practice areas ## Actor input object example ```json {} ``` # 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("guacamaya/virgin-megastore-crawler").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("guacamaya/virgin-megastore-crawler").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 guacamaya/virgin-megastore-crawler --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=guacamaya/virgin-megastore-crawler", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Virgin Megastore Crawler", "description": "Scrapes product data from the Virgin Megastore website. It extracts detailed information about products, including names, prices, brands, descriptions, and more. This scraper is perfect for price monitoring, product research, or maintaining an up-to-date catalog of Virgin Megastore products.", "version": "0.1", "x-build-id": "d5R9ScUOQADPykSJU" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/guacamaya~virgin-megastore-crawler/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-guacamaya-virgin-megastore-crawler", "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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/guacamaya~virgin-megastore-crawler/runs": { "post": { "operationId": "runs-sync-guacamaya-virgin-megastore-crawler", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/guacamaya~virgin-megastore-crawler/run-sync": { "post": { "operationId": "run-sync-guacamaya-virgin-megastore-crawler", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "startUrls": { "title": "Start URLs", "uniqueItems": true, "type": "array", "description": "List of URLs to start crawling from", "items": { "title": "URL", "type": "string", "description": "URL to start crawling from", "editor": "textfield" } }, "query": { "title": "Search Query", "type": "string", "description": "The search query to find specific attorneys or practice areas" } } }, "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 } } } } } } } } } } ```