# Best Buy Product Scraper — Prices, Ratings & SKUs (No API Key) (`jamhimself/bestbuy-search-scraper`) Actor Scrape Best Buy product data in bulk — prices, ratings, review counts, SKU IDs, images. Electronics price scraper, no API key, no login. Pay per result. - **URL**: https://apify.com/jamhimself/bestbuy-search-scraper.md - **Developed by:** [Jaime Martinez](https://apify.com/jamhimself) (community) - **Categories:** E-commerce, Agents, Developer tools - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing $4.00 / 1,000 product 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 ## Best Buy Product Scraper — Prices, Ratings & SKUs (No API Key) A Best Buy scraper that turns any BestBuy.com search into a clean product dataset — prices, ratings, SKU IDs, and more. Extract best buy product data and electronics pricing in bulk with no API key, no login, and pay per result. Built for developers, price analysts, and AI pipelines that need structured Best Buy catalog data without building or maintaining a Best Buy API integration. Public catalog facts only. This actor uses Chrome TLS impersonation plus residential US proxies with automatic session rotation to clear anti-bot walls, so you don't manage proxies or logins. ### ⚡ Quick start Paste this into the Actor's **Input** (JSON view) and hit **Start**: ```json { "searchQuery": "laptop", "maxResults": 40 } ```` Each result row looks like: ```json { "skuId": "6509650", "name": "MacBook Air 13.6\" Laptop - Apple M2 chip - 8GB Memory - 256GB SSD", "price": 849.99, "regularPrice": 999.99, "onSale": true, "rating": 4.8, "reviewCount": 1287, "url": "https://www.bestbuy.com/site/apple-macbook-air-13-6-laptop-m2-chip/6509650.p?skuId=6509650" } ``` Or run it from the API: ``` POST https://api.apify.com/v2/acts/jamhimself~bestbuy-search-scraper/run-sync-get-dataset-items?token=YOUR_APIFY_TOKEN ``` ### What you get | Field | Description | |---|---| | `name` | Product title | | `price` | Current customer price | | `regularPrice` / `onSale` | List price and whether it's discounted | | `rating` / `reviewCount` | Average star rating and number of reviews | | `condition` | `new`, `open-box`, etc. | | `categories` | Best Buy's own product-type tags | | `skuId` | Best Buy SKU (stable product ID) | | `image` | Primary product image URL | | `url` | Best Buy product page | ### Use cases - **Electronics price scraping** — track Best Buy prices across TVs, laptops, headphones, and more. - **Competitor and MAP monitoring** — watch list price vs. sale price to spot discounts and pricing changes. - **Market research** — analyze ratings and review counts to size demand across product categories. - **Feed an LLM or RAG pipeline** — supply structured product data to AI agents and assistants. - **Dropshipping and sourcing** — pull SKUs, images, and prices to build product catalogs. - **Dataset building** — assemble electronics datasets for analysis or benchmarking. ### Input - **searchQuery** — what to search BestBuy.com for, e.g. `wireless headphones`, `4k tv`, `nintendo switch` (prefilled with `wireless headphones`). - **maxResults** — maximum number of products to return, paginates automatically (default `60`, up to `1000`). ### Pricing Pay per product delivered. No subscription. *A quick review on the Apify Store really helps other builders find it.* # Actor input Schema ## `searchQuery` (type: `string`): What to search BestBuy.com for, e.g. "wireless headphones" or "4k tv". ## `maxResults` (type: `integer`): Maximum number of products to return (paginates automatically). ## Actor input object example ```json { "searchQuery": "wireless headphones", "maxResults": 60 } ``` # Actor output Schema ## `products` (type: `string`): One row per product. # 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": "wireless headphones" }; // Run the Actor and wait for it to finish const run = await client.actor("jamhimself/bestbuy-search-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": "wireless headphones" } # Run the Actor and wait for it to finish run = client.actor("jamhimself/bestbuy-search-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": "wireless headphones" }' | apify call jamhimself/bestbuy-search-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=jamhimself/bestbuy-search-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "Best Buy Product Scraper — Prices, Ratings & SKUs (No API Key)", "description": "Scrape Best Buy product data in bulk — prices, ratings, review counts, SKU IDs, images. Electronics price scraper, no API key, no login. Pay per result.", "version": "1.0", "x-build-id": "aBO9lwGfK9e5q0rPd" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/jamhimself~bestbuy-search-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-jamhimself-bestbuy-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/jamhimself~bestbuy-search-scraper/runs": { "post": { "operationId": "runs-sync-jamhimself-bestbuy-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/jamhimself~bestbuy-search-scraper/run-sync": { "post": { "operationId": "run-sync-jamhimself-bestbuy-search-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "searchQuery" ], "properties": { "searchQuery": { "title": "Search query", "type": "string", "description": "What to search BestBuy.com for, e.g. \"wireless headphones\" or \"4k tv\"." }, "maxResults": { "title": "Max results", "minimum": 1, "maximum": 1000, "type": "integer", "description": "Maximum number of products to return (paginates automatically).", "default": 60 } } }, "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 } } } } } } } } } } ```