# BestBuy Reviews Scraper (`moving_beacon-owner1/bestbuy-reviews-scraper`) Actor Scrapes product reviews from BestBuy.com using SKU IDs. Extracts ratings, review text, titles, recommendations, author details, photos, and timestamps directly from BestBuyโ€™s API. Supports multiple SKUs, configurable page limits, and US residential proxies for reliable scraping. - **URL**: https://apify.com/moving\_beacon-owner1/bestbuy-reviews-scraper.md - **Developed by:** [Jamshaid Arif](https://apify.com/moving_beacon-owner1) (community) - **Categories:** E-commerce, Developer tools, Automation - **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, NaN bookmarks - **User rating**: No ratings yet ## Pricing from $10.00 / 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 ## BestBuy Reviews Scraper Scrapes product reviews from BestBuy.com ### Input | Field | Type | Required | Default | Notes | |---|---|---|---|---| | `skuIds` | array of strings | yes | โ€” | SKU is the number before `.p` in the product URL (e.g., `4900964` from `/site/.../4900964.p`) | | `maxReviewPagesPerSku` | integer | no | `3` | Each page returns up to 20 reviews. Set `100` for max coverage. | | `proxyConfiguration` | proxy object | no | Apify Proxy, residential US | BestBuy responds best to US IPs | | `headless` | boolean | no | `false` | UC Mode is more stealthy with a virtual display; the container has Xvfb | #### Example input ```json { "skuIds": ["4900964", "6418599"], "maxReviewPagesPerSku": 5, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"], "apifyProxyCountry": "US" } } ```` ### Output Each review is pushed to the default dataset as a separate item: ```json { "id": "6f8c9d0b...", "topicType": "review", "rating": 5, "recommended": true, "title": "Best earbuds I've owned", "text": "Amazing sound quality and noise cancellation...", "submissionTime": "2024-09-12T...", "author": { ... }, "photos": [ ... ], "_sku": "4900964" } ``` The `_sku` field is added by the actor to tie each review back to its source product. The other fields are passed through from BestBuy's API verbatim. A run summary is also written to the **key-value store** under the key `RUN_SUMMARY`: ```json { "total_reviews": 80, "skus_requested": ["4900964", "6418599"], "skus_failed": [], "max_pages_per_sku": 5 } ``` ### Where to find SKU IDs The SKU is the digits before `.p` in any BestBuy product URL. Examples: - `https://www.bestbuy.com/site/apple-airpods-pro.../4900964.p` โ†’ **4900964** - `https://www.bestbuy.com/site/sony-wh-1000xm5.../6505729.p` โ†’ **6505729** # Actor input Schema ## `skuIds` (type: `array`): List of BestBuy product SKU IDs to scrape reviews for. The SKU is the number before '.p' in the product URL (e.g., from 'https://www.bestbuy.com/site/.../4900964.p' the SKU is 4900964). ## `maxReviewPagesPerSku` (type: `integer`): Each page returns up to 20 reviews. Set higher for products with many reviews. ## `proxyConfiguration` (type: `object`): No proxy by default. BestBuy's reviews API rarely blocks, so this usually works fine. If you start hitting blocks, switch to Apify Proxy (residential US works best). ## `headless` (type: `boolean`): Run Chrome in headless mode. Disable for better UC Mode stealth (uses Xvfb in container). ## Actor input object example ```json { "skuIds": [ "4900964", "6418599" ], "maxReviewPagesPerSku": 3, "proxyConfiguration": { "useApifyProxy": false }, "headless": false } ``` # 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 = { "skuIds": [ "4900964", "6418599" ] }; // Run the Actor and wait for it to finish const run = await client.actor("moving_beacon-owner1/bestbuy-reviews-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 = { "skuIds": [ "4900964", "6418599", ] } # Run the Actor and wait for it to finish run = client.actor("moving_beacon-owner1/bestbuy-reviews-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 '{ "skuIds": [ "4900964", "6418599" ] }' | apify call moving_beacon-owner1/bestbuy-reviews-scraper --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "command": "npx", "args": [ "mcp-remote", "https://mcp.apify.com/?tools=moving_beacon-owner1/bestbuy-reviews-scraper", "--header", "Authorization: Bearer " ] } } } ``` ## OpenAPI specification ```json { "openapi": "3.0.1", "info": { "title": "BestBuy Reviews Scraper", "description": "Scrapes product reviews from BestBuy.com using SKU IDs. Extracts ratings, review text, titles, recommendations, author details, photos, and timestamps directly from BestBuyโ€™s API. Supports multiple SKUs, configurable page limits, and US residential proxies for reliable scraping.", "version": "0.0", "x-build-id": "xRKDWBxzoaroYLmD3" }, "servers": [ { "url": "https://api.apify.com/v2" } ], "paths": { "/acts/moving_beacon-owner1~bestbuy-reviews-scraper/run-sync-get-dataset-items": { "post": { "operationId": "run-sync-get-dataset-items-moving_beacon-owner1-bestbuy-reviews-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": { "$ref": "#/components/schemas/inputSchema" } } } }, "parameters": [ { "name": "token", "in": "query", "required": true, "schema": { "type": "string" }, "description": "Enter your Apify token here" } ], "responses": { "200": { "description": "OK" } } } }, "/acts/moving_beacon-owner1~bestbuy-reviews-scraper/runs": { "post": { "operationId": "runs-sync-moving_beacon-owner1-bestbuy-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor and returns information about the initiated run in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": { "$ref": "#/components/schemas/runsResponseSchema" } } } } } } }, "/acts/moving_beacon-owner1~bestbuy-reviews-scraper/run-sync": { "post": { "operationId": "run-sync-moving_beacon-owner1-bestbuy-reviews-scraper", "x-openai-isConsequential": false, "summary": "Executes an Actor, waits for completion, and returns the OUTPUT from Key-value store in response.", "tags": [ "Run Actor" ], "requestBody": { "required": true, "content": { "application/json": { "schema": { "$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": [ "skuIds" ], "properties": { "skuIds": { "title": "BestBuy SKU IDs", "minItems": 1, "type": "array", "description": "List of BestBuy product SKU IDs to scrape reviews for. The SKU is the number before '.p' in the product URL (e.g., from 'https://www.bestbuy.com/site/.../4900964.p' the SKU is 4900964).", "items": { "type": "string" } }, "maxReviewPagesPerSku": { "title": "Max review pages per SKU", "minimum": 1, "maximum": 100, "type": "integer", "description": "Each page returns up to 20 reviews. Set higher for products with many reviews.", "default": 3 }, "proxyConfiguration": { "title": "Proxy configuration", "type": "object", "description": "No proxy by default. BestBuy's reviews API rarely blocks, so this usually works fine. If you start hitting blocks, switch to Apify Proxy (residential US works best).", "default": { "useApifyProxy": false } }, "headless": { "title": "Run headless", "type": "boolean", "description": "Run Chrome in headless mode. Disable for better UC Mode stealth (uses Xvfb in container).", "default": false } } }, "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 } } } } } } } } } } ```