# Best Buy Review Scraper (`mrdoe/bestbuy-review-scraper`) Actor

Scrape Best Buy product reviews into clean, structured data. Extract ratings, review text, titles, authors, dates, verified-purchase status, recommendations, pros, cons, helpful votes and product rating data. Affordable, reliable and ready for analysis, research and customer insights.

- **URL**: https://apify.com/mrdoe/bestbuy-review-scraper.md
- **Developed by:** [MrDoe](https://apify.com/mrdoe) (community)
- **Categories:** E-commerce, Developer tools, Automation
- **Stats:** 2 total users, 1 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $0.70 / 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.
Since this Actor supports Apify Store discounts, the price gets lower the higher subscription plan you have.

Learn more: https://docs.apify.com/actors/running/actors-in-store.md#pay-per-event

## What's an Apify Actor?

Actors are web data automations that power AI and operations. They run on the Apify platform to scrape websites, process data, connect APIs, and automate workflows.
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.

- **AI agents and MCP clients** — the [Apify MCP server](https://docs.apify.com/integrations/mcp.md) at `https://mcp.apify.com` (remote, streamable HTTP, OAuth on first use).
- **Agentic workflows and local Actor development** — [Agent Skills](https://apify.com/.well-known/agent-skills/index.json) with the [Apify CLI](https://docs.apify.com/cli/docs.md): `npm install -g apify-cli`, then `apify login`.
- **JavaScript/TypeScript projects** — the official [JS/TS client](https://docs.apify.com/api/client/js/docs.md): `npm install apify-client`.
- **Python projects** — the official [Python client](https://docs.apify.com/api/client/python/docs.md): `pip install apify-client`.
- **Any other language** — 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

### What does Best Buy Review Scraper do?

**Best Buy Review Scraper** extracts customer reviews for one or many Best Buy product SKUs - author, rating, review text, and product context - **anonymously, no login, no Best Buy account, no API key**.

### Why use this Actor?

- **Flat, review-per-row dataset** - one clean row per review, ready to filter/aggregate, instead of a nested array buried in a product record.
- **Batch, one start fee** - pass a list of SKUs and one run covers all of them.

### How to use it

1. Set `sku` (e.g. `6570530`) or a full product URL, or `skus` for a batch.
2. Optionally set `maxItems` to cap total rows (default 100).
3. Click **Start**.

Batch fields (`skus`) win over their singular counterparts when filled; duplicates and blanks are dropped automatically.

### Input

| Field                | Type    | Description                                                                                      |
| -------------------- | ------- | ------------------------------------------------------------------------------------------------ |
| `sku`                | string  | A Best Buy SKU (e.g. `6570530`) or a full product URL. Defaults to a demo product if left blank. |
| `skus`               | array   | Many SKUs/product URLs in one run. Wins over `sku` when filled.                                  |
| `maxItems`           | integer | Caps total review rows returned across the run. First 10 rows are free. Default 100.             |
| `proxyConfiguration` | object  | Required - a residential US proxy. See the companion **Best Buy Product Scraper** for why.       |

### Why does this Actor need a real browser?

Same reason as the companion **Best Buy Product Scraper**: Best Buy's Akamai bot-protection hangs plain HTTP requests indefinitely and blocks product pages under plain headless Chromium. [Camoufox](https://camoufox.com/) (a fingerprint-patched Firefox) is what gets through reliably, so this Actor drives it the same way.

### What reviews does this Actor return, and why is the count small?

Live-verified (2026-08-25): Best Buy's product page embeds a schema.org `Product` JSON-LD block whose `review` array is the **only anonymously reachable review content**. The same reviews (same author names, same text) also render into the on-page "Customer reviews" tab, and the dedicated `/sku/{id}/reviews` URL just links back to that same tab rather than showing a distinct, larger list - confirmed by watching network requests through a click on the reviews tab (none fired) and comparing the DOM review count after the click to the JSON-LD array length (identical). So a handful of reviews per SKU (typically 1-5) is this Actor's real, honest ceiling for an anonymous visitor - not a bug or an artificial cap.

### Output

One flat row per review, with product context repeated on every row so it's self-contained.

```json
{
    "sku": "6570530",
    "productTitle": "Ninja - Hot & Iced XL Coffee Maker with Rapid Cold Brew",
    "brand": "Ninja",
    "productRating": 4.8,
    "productReviewCount": 291,
    "_operation": "reviews",
    "reviewId": "6570530-0",
    "reviewTitle": "Great maker",
    "rating": 5,
    "author": "JamieT",
    "text": "It's a real coffee maker and it's not too expensive like most are...",
    "status": "success"
}
```

`productRating`/`productReviewCount` are the product's aggregate rating (e.g. `4.8` / `291`); `rating` is this specific review's own star rating (e.g. `5`) - kept as separate, clearly-named fields precisely so one can't silently overwrite the other on the same row. A SKU with zero reviews returns one `status: "no_reviews"` row instead of an empty dataset.

### Pricing

This Actor uses pay-per-event pricing - one small run-start charge, then a per-row charge for each review, with the first 10 review rows of any run free. See the **Pricing** tab for current rates.

### Limitations

- Only the small review sample Best Buy shows to an anonymous, logged-out visitor is available - see [What reviews does this Actor return?](#what-reviews-does-this-actor-return-and-why-is-the-count-small) above. There is no deeper, paginated, anonymously-reachable review API on Best Buy.
- US site (bestbuy.com) only in this version.

### FAQ

**Does Best Buy have a public API?** Best Buy's Developer API exists but requires an approved API key application, not general scraping. This Actor gets you review data anonymously, no approval process.

**Do I need a Best Buy account or API key?** No - it runs entirely against Best Buy's public, logged-out web pages.

**Why so few reviews per product?** See [What reviews does this Actor return?](#what-reviews-does-this-actor-return-and-why-is-the-count-small) - it's Best Buy's own anonymous-visitor limit, not a scraper shortfall.

### Disclaimer

This Actor is an independent tool, not affiliated with or endorsed by Best Buy Co., Inc. It only accesses data Best Buy serves publicly to anonymous visitors. Use it in compliance with Best Buy's Terms of Use and applicable law in your jurisdiction. Found a bug or have a feature request? Use the Issues tab on this Actor's page.

# Actor input Schema

## `sku` (type: `string`):

A Best Buy SKU (e.g. "6570530") or a full product URL. Defaults to a demo product if left blank.

## `skus` (type: `array`):

Many SKUs or product URLs in one run. Wins over "sku" when filled.

## `maxItems` (type: `integer`):

Caps total review rows returned across the whole run. The first 10 rows are always free. Defaults to 100.

## `proxyConfiguration` (type: `object`):

Best Buy's Akamai bot-protection blocks plain HTTP outright; this Actor drives a fingerprint-patched real browser (Camoufox). A residential US proxy is strongly recommended.

## Actor input object example

```json
{
  "sku": "6570530",
  "maxItems": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": [
      "RESIDENTIAL"
    ],
    "apifyProxyCountry": "US"
  }
}
```

# Actor output Schema

## `overview` (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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "sku": "6570530"
};

// Run the Actor and wait for it to finish
const run = await client.actor("mrdoe/bestbuy-review-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 '<YOUR_API_TOKEN>' with your token.
client = ApifyClient("<YOUR_API_TOKEN>")

# Prepare the Actor input
run_input = { "sku": "6570530" }

# Run the Actor and wait for it to finish
run = client.actor("mrdoe/bestbuy-review-scraper").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 '{
  "sku": "6570530"
}' |
apify call mrdoe/bestbuy-review-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "type": "http",
            "url": "https://mcp.apify.com/?tools=fetch-actor-details,mrdoe/bestbuy-review-scraper"
        }
    }
}

```

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 <APIFY_API_TOKEN>` 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/UWOoGmYtwPcE8GdrZ/builds/g8VZqXzISDMuc6kpr/openapi.json