# Bestbuy Reviews Spider (`getdataforme/bestbuy-reviews-spider`) Actor Extract customer reviews from Best Buy product pages, including ratings, titles, and full text. Perfect for market research, sentiment analysis, and competitive intelligence.... - **URL**: https://apify.com/getdataforme/bestbuy-reviews-spider.md - **Developed by:** [GetDataForMe](https://apify.com/getdataforme) (community) - **Categories:** AI, E-commerce - **Stats:** 15 total users, 0 monthly users, 100.0% runs succeeded, 0 bookmarks - **User rating**: No ratings yet ## Pricing from $7.00 / 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/actors/running/actors-in-store.md#pay-per-event ## What's an Apify Actor? An Actor is a serverless cloud program that runs on the Apify platform. It has two run modes. 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. Apify vocabulary and the platform model are defined once, in the agent quickstart at https://apify.com/agents.md. ## 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. Do not guess an integration path. Every one of them is in the agent quickstart at https://apify.com/agents.md: the Apify MCP server, Agent Skills with the Apify CLI, the JavaScript and Python clients, the REST API, and the account-free path for an agent with no human to sign in. It also carries the rule on stating cost before the first paid run. For examples already wired to this Actor's own input schema, see the [API](#api) section below. Each client library has reference documentation the quickstart does not restate: [JavaScript/TypeScript](https://docs.apify.com/api/client/js/docs.md) (`npm install apify-client`) and [Python](https://docs.apify.com/api/client/python/docs.md) (`pip install apify-client`). # README ## Bestbuy Reviews Spider ### Introduction The Bestbuy Reviews Spider is a powerful Apify Actor designed to scrape and extract customer reviews from Best Buy product pages efficiently and reliably. It enables users to gather detailed review data, including ratings, titles, and full text, for market research, sentiment analysis, and competitive intelligence. This tool simplifies the process of collecting high-quality, structured data from Best Buy's review sections, helping businesses and researchers make informed decisions. ### Features - **Comprehensive Review Extraction**: Scrapes detailed review information such as ratings, titles, bodies, and metadata from Best Buy product pages. - **Flexible Pagination**: Supports custom start pages and page sizes to control the depth and breadth of data collection. - **Item Limiting**: Allows setting a maximum number of reviews to process, optimizing performance and resource usage. - **Proxy Integration**: Utilizes Apify's residential proxies to avoid IP blocks and ensure reliable scraping. - **High-Quality Output**: Provides clean, structured JSON data with translations and sentiment placeholders for advanced analysis. - **Fast and Scalable**: Built with Python Scrapy for efficient handling of large-scale scraping tasks. - **Error-Resilient**: Includes built-in handling for common scraping challenges like rate limits and page changes. ### Input Parameters | Parameter | Type | Required | Description | Example | |-----------|------|----------|-------------|---------| | Urls | array | No | List of URLs to Best Buy product review pages to scrape. | \["https://www.bestbuy.com/site/reviews/apple-macbook-pro-16-inch-laptop-apple-m4-pro-chip-built-for-apple-intelligence-24gb-memory-512gb-ssd-space-black/6602755?variant=A\&sort=MOST_RECENT"] | | itemLimit | integer | No | Maximum number of reviews to extract. Set to 0 for unlimited. | 10 | | StartPage | integer | No | Page number to start scraping from (1-based). | 1 | | PageSize | integer | No | Number of reviews per page to fetch. | 20 | | proxyConfiguration | object | No | Proxy settings to mask the scraper's IP. Defaults to Apify residential proxies. | {"useApifyProxy": true, "apifyProxyGroups": \["RESIDENTIAL"]} | ### Example Usage #### Input JSON ```json { "Urls": [ "https://www.bestbuy.com/site/reviews/apple-macbook-pro-16-inch-laptop-apple-m4-pro-chip-built-for-apple-intelligence-24gb-memory-512gb-ssd-space-black/6602755?variant=A&sort=MOST_RECENT" ], "itemLimit": 10, "StartPage": 1, "PageSize": 20, "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": ["RESIDENTIAL"] } } ``` #### Output JSON ```json [ { "Product_Id": "6602755", "Review_Id": "95bbfc8d-e6cd-3fd1-a2c2-38374510d932", "Rating": 5, "Title": "Mac Computers Are The Best", "Body": "I love Mac computers way more than windows. My last Mac Book Pro lasted for 10 years and is still in pretty good condition. \nApple computers do not get viruses like Windows do. Once you are familiar with an Apple computer, they are pretty easy to navigate. \nI've had this new one for 3 weeks now and it runs smoothly. Much like my former one but updated.", "Sentiment": null, "Section": "", "Higher_Topic": null, "Granular_Topic": null, "Source": "BestBuy", "Full_Review": "Mac Computers Are The Best: I love Mac computers way more than windows. My last Mac Book Pro lasted for 10 years and is still in pretty good condition. \nApple computers do not get viruses like Windows do. Once you are familiar with an Apple computer, they are pretty easy to navigate. \nI've had this new one for 3 weeks now and it runs smoothly. Much like my former one but updated.", "Review_Type": "Product Review", "Title_Trans": "Mac Computers Are The Best", "Body_Trans": "I love Mac computers way more than windows. My last Mac Book Pro lasted for 10 years and is still in pretty good condition. \nApple computers do not get viruses like Windows do. Once you are familiar with an Apple computer, they are pretty easy to navigate. \nI've had this new one for 3 weeks now and it runs smoothly. Much like my former one but updated.", "Full_Review_Trans": "Mac Computers Are The Best: I love Mac computers way more than windows. My last Mac Book Pro lasted for 10 years and is still in pretty good condition. \nApple computers do not get viruses like Windows do. Once you are familiar with an Apple computer, they are pretty easy to navigate. \nI've had this new one for 3 weeks now and it runs smoothly. Much like my former one but updated.", "Product_Name_Trans": null, "Product_Segment": null, "Gender": "Unisex", "Product_Segment2": null, "Year_Quarter": "2026-Q1", "Sub_Brand": null, "Format": null, "Country": "USA", "Date": "01-16-2026", "Product_Name": null, "Brand": null, "URL": "https://www.bestbuy.com/site/reviews/apple-macbook-pro-16-inch-laptop-apple-m4-pro-chip-built-for-apple-intelligence-24gb-memory-512gb-ssd-space-black/6602755?variant=A&sort=MOST_RECENT", "Crawled_Date": "01-17-2026" } ] ``` ### Use Cases - **Market Research**: Analyze customer sentiment and trends for products on Best Buy to inform product development. - **Competitive Intelligence**: Compare reviews across similar products to identify strengths and weaknesses. - **Price Monitoring**: Track review volumes and ratings to correlate with pricing strategies. - **Content Aggregation**: Collect reviews for content creation, such as blog posts or social media insights. - **Academic Research**: Gather data for studies on consumer behavior and product perceptions. - **Business Automation**: Automate review extraction for dashboards or reporting tools in e-commerce analytics. ### Installation and Usage 1. Search for "Bestbuy Reviews Spider" 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 Actor outputs data in JSON format as an array of review objects. Each object includes fields like Product_Id, Review_Id, Rating, Title, Body, and metadata such as Date, Country, and URL. Translations are provided for titles and bodies, with placeholders for sentiment and topic analysis. This structured format ensures easy integration with data analysis tools. ### 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 ## `Urls` (type: `array`): The urls for the spider. ## `itemLimit` (type: `integer`): Specifies the maximum number of items to process. ## `StartPage` (type: `integer`): The start page for the spider. ## `PageSize` (type: `integer`): The page size for the spider. ## `proxyConfiguration` (type: `object`): Specifies proxy servers that will be used by the scraper in order to hide its origin. ## Actor input object example ```json { "Urls": [ "https://www.bestbuy.com/site/reviews/apple-macbook-pro-16-inch-laptop-apple-m4-pro-chip-built-for-apple-intelligence-24gb-memory-512gb-ssd-space-black/6602755?variant=A&sort=MOST_RECENT" ], "itemLimit": 10, "StartPage": 1, "PageSize": 20, "proxyConfiguration": { "useApifyProxy": true, "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 = { "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }; // Run the Actor and wait for it to finish const run = await client.actor("getdataforme/bestbuy-reviews-spider").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 = { "proxyConfiguration": { "useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"], } } # Run the Actor and wait for it to finish run = client.actor("getdataforme/bestbuy-reviews-spider").call(run_input=run_input) # Fetch and print Actor results from the run's dataset (if there are any) print(f"💾 Check your data here: https://console.apify.com/storage/datasets/{run.default_dataset_id}") for item in client.dataset(run.default_dataset_id).iterate_items(): print(item) # 📚 Want to learn more 📖? Go to → https://docs.apify.com/api/client/python/docs/quick-start ``` ## CLI example ```bash echo '{ "proxyConfiguration": { "useApifyProxy": true, "apifyProxyGroups": [ "RESIDENTIAL" ] } }' | apify call getdataforme/bestbuy-reviews-spider --silent --output-dataset ``` ## MCP server setup ```json { "mcpServers": { "apify": { "type": "http", "url": "https://mcp.apify.com/?tools=fetch-actor-details,getdataforme/bestbuy-reviews-spider" } } } ``` The hosted server signs you in with OAuth on first connect, so no API token belongs in this config. Clients without OAuth support can send an `Authorization: Bearer ` header instead, using a token from API & Integrations in Apify Console (https://console.apify.com/settings/integrations). ## OpenAPI specification Download the OpenAPI definition: https://api.apify.com/v2/actors/kzsi07lO3aM7xCSaM/builds/LHotAxBE9462rPyvm/openapi.json