# SharkNinja Product Search Scraper (`powerai/sharkninja-products-search-scraper`) Actor Scrape products from SharkNinja.com by providing a search URL, with automatic pagination and comprehensive product information extraction. - **URL**: https://apify.com/powerai/sharkninja-products-search-scraper.md - **Developed by:** [PowerAI](https://apify.com/powerai) (community) - **Categories:** E-commerce, Automation, Other - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 1 bookmarks - **User rating**: No ratings yet ## Pricing $19.99/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 ## ๐Ÿ›๏ธ SharkNinja Product Search Scraper This actor allows you to scrape products from SharkNinja.com by providing a search URL. It automatically handles pagination and extracts comprehensive product information including prices, ratings, reviews, and product features. ### Features - **URL-based Scraping:** Extract products by providing a complete SharkNinja search URL - **Automatic Pagination:** Automatically loads more products until reaching the end or max items limit - **Comprehensive Product Data:** Extract detailed information about each product including: - Product name and description - Product ID and model number - Price information - Product images - Customer ratings and review counts - Product badges and labels - Product features and specifications - **Rich Media:** Includes product images from SharkNinja's CDN ### Input Parameters | Field | Type | Required | Description | |-------|------|----------|-------------| | `searchUrl` | string | Yes | Complete SharkNinja search URL to scrape | | `maxItems` | integer | No | Maximum number of products to fetch | ### Output The output is a list of product objects, each containing: - `searchUrl`: The original search URL used - `productId`: Unique product identifier - `productName`: Name of the product - `productUrl`: URL to the product detail page - `model`: Model number - `imageUrl`: URL of the product image - `price`: Numeric price value - `priceText`: Formatted price text - `rating`: Customer rating (0-5) - `reviewCount`: Number of customer reviews - `badge`: Product badge or label (e.g., "New") - `features`: Array of product features - `scrapedAt`: Timestamp of when the product was scraped Example output: ```json [ { "searchUrl": "https://www.sharkninja.com/search?q=air%20fryer", "productId": "FN103BF", "productName": "Ninja Crispiยฎ 5-in-1 Portable Glass Air Fryer Cooking System", "productUrl": "https://www.sharkninja.com/ninja-crispi-5-in-1-portable-glass-air-fryer-cooking-system/FN103BF.html", "model": "FN103BF", "imageUrl": "https://assets.sharkninja.com/image/list/fn_select:jq:first%28.%5B%5D%7Cif%20has%28%22metadata%22%29%20then%20select%28any%28.metadata%5B%5D%3B%20.external_id%20%3D%3D%20%22sfcc-is-main%22%20and%20.value.value%20%3D%3D%20%22True%22%29%29%20else%20empty%20end%29/f_auto,q_auto,dpr_auto/w_360,h_360,e_make_transparent/b_rgb:f6f6f6/FN103BF.json?_i=AG", "price": 219.99, "priceText": "$219.99", "rating": 4.5, "reviewCount": 664, "badge": "New", "features": [ "4 qt+ capacity", "5 functions in 1", "Includes 3 glass containers" ], "scrapedAt": "2025-05-29T02:10:44.350Z" }, ... ] ```` ### Use Cases - Product research and price comparison - Market analysis for SharkNinja products - Inventory monitoring - Competitor analysis - Consumer behavior research ### Notes - The actor uses browser automation to handle JavaScript-rendered content - Results are automatically paginated until reaching the end or max items limit - Product images are loaded from SharkNinja's CDN - Customer ratings and reviews are extracted from Bazaarvoice integration - The actor includes random delays between actions to avoid rate limiting # Actor input Schema ## `searchUrl` (type: `string`): The complete SharkNinja search URL to scrape ## `maxItems` (type: `integer`): Maximum number of products to fetch ## `proxyConfiguration` (type: `object`): Proxy settings for the actor ## Actor input object example ```json { "searchUrl": "https://www.sharkninja.com/search?q=air%20fryer", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } } ``` # 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 = { "searchUrl": "https://www.sharkninja.com/search?q=air%20fryer", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("powerai/sharkninja-products-search-scraper").call(input); // Fetch and print Actor results from the run's dataset (if any) console.log('Results from dataset'); console.log(`๐Ÿ’พ 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); }); // ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ 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 = { "searchUrl": "https://www.sharkninja.com/search?q=air%20fryer", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": False, "apifyProxyGroups": ["RESIDENTIAL"], }, } # Run the Actor and wait for it to finish run = client.actor("powerai/sharkninja-products-search-scraper").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print("๐Ÿ’พ Check your data here: https://console.apify.com/storage/datasets/" + run["defaultDatasetId"]) for item in client.dataset(run["defaultDatasetId"]).iterate_items(): print(item) # ๐Ÿ“š Want to learn more ๐Ÿ“–? Go to โ†’ https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "searchUrl": "https://www.sharkninja.com/search?q=air%20fryer", "maxItems": 50, "proxyConfiguration": { "useApifyProxy": false, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call powerai/sharkninja-products-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=powerai/sharkninja-products-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "SharkNinja Product Search Scraper", "description": "Scrape products from SharkNinja.com by providing a search URL, with automatic pagination and comprehensive product information extraction.", "version": "0.0", "x-build-id": "w2c6Rl6VFUWhZCBIc" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/powerai~sharkninja-products-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-powerai-sharkninja-products-search-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/powerai~sharkninja-products-search-scraper/runs": { "post": { "operationId": "runs-sync-powerai-sharkninja-products-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/powerai~sharkninja-products-search-scraper/run-sync": { "post": { "operationId": "run-sync-powerai-sharkninja-products-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchUrl" ], "properties": { "searchUrl": { "title": "Search URL", "minLength": 1, "type": "string", "description": "The complete SharkNinja search URL to scrape", "default": "https://www.sharkninja.com/search?q=air%20fryer" }, "maxItems": { "title": "Max Items", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of products to fetch", "default": 50 }, "proxyConfiguration": { "title": "Proxy Configuration", "type": "object", "description": "Proxy settings for the actor", "default": { "useApifyProxy": false, "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 } } } } } } } } } } ```