# Boostmobile Profile Scraper (`getdataforme/boostmobile-profile-scraper`) Actor The BoostMobile Profile Scraper extracts detailed product data from BoostMobile's site, ideal for businesses needing comprehensive mobile device info.... - **URL**: https://apify.com/getdataforme/boostmobile-profile-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 ## BoostMobile Profile Scraper The BoostMobile Profile Scraper is a powerful tool designed to extract detailed product information from BoostMobile's website. This Actor is ideal for businesses and individuals seeking to gather comprehensive data on mobile devices, enabling informed decision-making and strategic planning. ### Features - **Comprehensive Data Extraction**: Captures detailed product specifications, pricing, and availability. - **High Data Quality**: Ensures accurate and up-to-date information by scraping directly from the source. - **Efficient Performance**: Optimized for speed and reliability, handling multiple URLs simultaneously. - **User-Friendly Interface**: Easy to configure with minimal setup required. - **Flexible Output Formats**: Export data in JSON, CSV, or Excel formats. - **Scalable**: Suitable for both small-scale and large-scale data collection needs. - **Customizable**: Adaptable to specific requirements with customizable input parameters. ### Input Parameters Table | Parameter | Type | Required | Description | Example | |------------|--------|----------|--------------------------|----------------------------------------------------------| | startUrls | array | Yes | URLs to start with. | `["https://www.boostmobile.com/shop/iphone-17e.html"]` | ### Example Usage #### Example Input JSON ```json { "startUrls": [ { "url": "https://www.boostmobile.com/shop/iphone-17e.html" } ] } ```` #### Example Output JSON ```json [ { "brand": "Apple", "productName": "iPhone 17e", "canonicalUrl": "https://www.boostmobile.com/shop/iphone-17e.html", "ogImage": "https://s7d1.scene7.com/is/image/dish/iPhone_17e_Soft_Pink_Position_1?$productHero$&fmt=webp-alpha", "shortDescription": "Feature stacked. Value packed.", "shortSpecs": { "Screen": "6.1 IN", "Camera": "48 MP", "Video Playback": "26 HRS", "iOS": "26" }, "retailPrice": "$599.99", "colors": [], "storageOptions": [], "specs": { "Display": "6.1-inch (diagonal) all-screen OLED display | Super Retina XDR display | Ceramic Shield 2 with 3x better scratch resistance", "Camera": "48MP Fusion camera system | 48MP Fusion Main | 12MP 2x Telephoto | Digital zoom up to 10x | Sapphire crystal lens cover", "Battery": "Built-in rechargeable lithium-ion battery | Video playback up to 26 hours | Fast-charge capable", "Memory": "256GB | 512GB", "Processor": "A19 Chip", "Connectivity": "5G (sub-6 GHz) with 4x4 MIMO | Gigabit LTE with 4x4 MIMO | WiFi 6 (802.11ax) with 2x2 MIMO | Bluetooth 5.3 | NFC", "Operating System": "iOS 26", "Dimensions": "5.78\" x 2.82\" x 0.31\"", "Weight": "5.96 oz", "Other Features": "Apple Intelligence | MagSafe wireless charging up to 15W | Qi2 wireless charging up to 15W | Splash, Water, and Dust Resistant" }, "whatsIncluded": [ "Apple\u00ae iPhone\u00ae 17e", "USB-C Charge Cable (1 m)", "Documentation" ], "variants": [ { "id": "5522", "color": "Black", "storage": "256 GB", "retailPrice": 599.99, "specialDealPrice": 599.99 }, { "id": "5525", "color": "White", "storage": "512 GB", "retailPrice": 799.99, "specialDealPrice": 799.99 }, { "id": "5528", "color": "Black", "storage": "512 GB", "retailPrice": 799.99, "specialDealPrice": 799.99 }, { "id": "5531", "color": "Soft Pink", "storage": "512 GB", "retailPrice": 799.99, "specialDealPrice": 799.99 }, { "id": "5534", "color": "White", "storage": "256 GB", "retailPrice": 599.99, "specialDealPrice": 599.99 }, { "id": "5537", "color": "Soft Pink", "storage": "256 GB", "retailPrice": 599.99, "specialDealPrice": 599.99 } ] } ] ``` ### Use Cases - **Market Research and Analysis**: Gather data on the latest mobile devices for market trends. - **Competitive Intelligence**: Monitor competitor pricing and product offerings. - **Price Monitoring**: Track price changes and special deals. - **Content Aggregation**: Compile product information for content creation. - **Academic Research**: Use data for research on technology trends. - **Business Automation**: Automate data collection for business intelligence. ### Installation and Usage 1. Search for "BoostMobile Profile Scraper" in the Apify Store 2. Click "Try for free" or "Run" 3. Configure input parameters 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 where each object contains detailed information about a product, including brand, product name, URL, images, descriptions, specifications, pricing, and available variants. ### 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 ## `startUrls` (type: `array`): URLs to start with. ## Actor input object example ```json { "startUrls": [ { "url": "https://www.boostmobile.com/shop/iphone-17e.html" } ] } ``` # 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 = { "startUrls": [ { "url": "https://www.boostmobile.com/shop/iphone-17e.html" } ] }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/boostmobile-profile-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 = { "startUrls": [{ "url": "https://www.boostmobile.com/shop/iphone-17e.html" }] } # Run the Actor and wait for it to finish run = client.actor("getdataforme/boostmobile-profile-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 '{ "startUrls": [ { "url": "https://www.boostmobile.com/shop/iphone-17e.html" } ] }' | apify call getdataforme/boostmobile-profile-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=getdataforme/boostmobile-profile-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Boostmobile Profile Scraper", "description": "The BoostMobile Profile Scraper extracts detailed product data from BoostMobile's site, ideal for businesses needing comprehensive mobile device info....", "version": "0.0", "x-build-id": "tyRuAv4Ew1ydTrHBY" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/getdataforme~boostmobile-profile-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-getdataforme-boostmobile-profile-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/getdataforme~boostmobile-profile-scraper/runs": { "post": { "operationId": "runs-sync-getdataforme-boostmobile-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/getdataforme~boostmobile-profile-scraper/run-sync": { "post": { "operationId": "run-sync-getdataforme-boostmobile-profile-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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", "properties": { "startUrls": { "title": "Start URLs", "type": "array", "description": "URLs to start with.", "items": { "type": "object", "required": [ "url" ], "properties": { "url": { "type": "string", "title": "URL of a web page", "format": "uri" } } } } } }, "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 } } } } } } } } } } ```