# Best Buy Product Scraper (`scrapeai/bestbuy-scraper`) Actor

Extract Best Buy product data including title, price, SKU, ratings, review counts, availability, and images through keyword search or direct URL input.

- **URL**: https://apify.com/scrapeai/bestbuy-scraper.md
- **Developed by:** [ScrapeAI](https://apify.com/scrapeai) (community)
- **Categories:** E-commerce, Automation, Developer tools
- **Stats:** 3 total users, 2 monthly users, 100.0% runs succeeded, 0 bookmarks
- **User rating**: No ratings yet

## Pricing

from $3.99 / 1,000 results

This Actor is paid per event and usage. You are charged both the fixed price for specific events and for Apify platform usage.

Learn more: https://docs.apify.com/platform/actors/running/actors-in-store#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

## Best Buy Product Scraper

Scrape product listings from Best Buy and extract detailed product data including:

- Product name — full title and model information
- Price — current price, discounts, and promotional offers
- Specifications — technical details, features, and product attributes
- Ratings & reviews — customer ratings, review counts, and review text
- Availability — stock status and shipping options
- Brand & category — product classification and manufacturer details
- Product URL — direct product page link
- Images — product images and media assets

### Features

- **Keyword search** — find products by name, brand, or category
- **Direct URL mode** — scrape specific product pages directly
- **Category browsing** — collect listings by department or product category
- **Price tracking** — monitor price changes, discounts, and stock availability
- **Review extraction** — capture user feedback, ratings, and sentiment
- **Configurable result limits** — control how many products to collect
- **Structured JSON output** — clean data ready for analytics or integrations
- **Cloud-ready** — runs on Apify with scheduling, proxy rotation, API access, dataset storage, and webhook support

### Use Cases

- E-commerce price comparison
- Product catalog building
- Competitor pricing and stock monitoring
- Customer sentiment analysis
- Market research and trend tracking
- Product specification benchmarking

#### Example Output

```json
{
	"title": "HP - OmniBook 3 - 14\" 2K Touchscreen Laptop - Snapdragon X - 16GB Memory - 512GB SSD - Copilot+ PC - Starlit Blue",
	"link": "https://www.bestbuy.com/product/hp-omnibook-3-14-2k-touchscreen-laptop-snapdragon-x-16gb-memory-512gb-ssd-copilot-pc-starlit-blue/JJGW3FLGVQ",
	"sku": "sponsored-listing",
	"price": 549.99,
	"originalPrice": 949.99,
	"rating": 4.7,
	"reviewCount": null,
	"brand": null,
	"thumbnail": "https://pisces.bbystatic.com/image2/BestBuy_US/images/products/3d282762-e634-4be4-bcfb-fb1149e4c2d9.jpg;maxHeight=427;maxWidth=640?format=webp",
	"availability": "Available",
	"currency": "USD",
	"source": "bestbuy.com",
	"scrapedAt": "2026-06-16T08:22:57.325Z",
	"searchQuery": "laptop",
	"position": 4
}
```

# Actor input Schema

## `mode` (type: `string`):

Select what type of input to scrape from

## `searchQuery` (type: `string`):

Search term to find items. Used when mode is 'search'.

## `startUrls` (type: `array`):

Array of URLs to scrape directly (product, property, profile, company, etc.)

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

Maximum number of items to scrape

## `includeReviews` (type: `boolean`):

Whether to scrape reviews/ratings when available

## `headless` (type: `boolean`):

Run browser in headless mode

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

Proxy settings to avoid IP blocking. Recommended: Apify Residential proxy.

## Actor input object example

```json
{
  "mode": "search",
  "searchQuery": "example query",
  "maxItems": 5,
  "includeReviews": false,
  "headless": true,
  "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 '<YOUR_API_TOKEN>' with your token
const client = new ApifyClient({
    token: '<YOUR_API_TOKEN>',
});

// Prepare Actor input
const input = {
    "searchQuery": "example query",
    "maxItems": 5,
    "includeReviews": false,
    "headless": true
};

// Run the Actor and wait for it to finish
const run = await client.actor("scrapeai/bestbuy-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 = {
    "searchQuery": "example query",
    "maxItems": 5,
    "includeReviews": False,
    "headless": True,
}

# Run the Actor and wait for it to finish
run = client.actor("scrapeai/bestbuy-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": "example query",
  "maxItems": 5,
  "includeReviews": false,
  "headless": true
}' |
apify call scrapeai/bestbuy-scraper --silent --output-dataset

```

## MCP server setup

```json
{
    "mcpServers": {
        "apify": {
            "command": "npx",
            "args": [
                "mcp-remote",
                "https://mcp.apify.com/?tools=scrapeai/bestbuy-scraper",
                "--header",
                "Authorization: Bearer <YOUR_API_TOKEN>"
            ]
        }
    }
}

```

## OpenAPI specification

Download the OpenAPI definition: https://api.apify.com/v2/actors/VlzW2zlZwq5x29rIY/builds/DjwYXw7kcdNfaivsW/openapi.json