Best Buy Product Scraper

Best Buy Product Scraper creates a structured dataset of product records collected from Best Buy (bestbuy.com and bestbuy.ca). Each dataset item can include the SKU, title, brand, price and regular price, currency, rating, availability, model number, and product URL. When product details are enabled, records are enriched with description, features, specifications, gallery images, and sample reviews. Query the source with searchQueries, startUrls, or skuIds, control the result limit with maxItems, and retrieve records through the Apify Dataset API or export them as JSON, CSV, Excel, XML, or another supported format.

Dataset at a glance

Property	Value
Source	Best Buy (bestbuy.com, bestbuy.ca)
Record unit	One product
Input methods	searchQueries, startUrls, skuIds
Main identifiers	skuId, bsin, url
Delivery	Apify Dataset and API
Export formats	JSON, CSV, Excel, XML, HTML
Update model	Fresh records per Actor run
Pricing	$3.00 per 1,000 products; $4.00 per 1,000 additional for full product details

Coverage and available records

The Actor collects product records from Best Buy search, category, and product pages. Supported behavior:

• Search queries — searchQueries accepts terms like "laptop" or "airpods", resolved against the selected market.
• Start URLs — startUrls accepts category, search, or product URLs; the country is inferred from the host.
• Direct SKUs — skuIds scrapes specific products by Best Buy SKU.
• Market selection — countryCode selects US (bestbuy.com) or CA (bestbuy.ca) for query-based input.
• Availability context — zipCode and optional storeId provide pricing/availability context for the destination area.
• Listing-only vs. details — fetchProductDetails (default false) returns listing/card fields only; when enabled, each product is enriched with description, features, specifications, gallery images, and sample reviews, adding the product-details charge event.
• Result limit — maxItems caps total products (0 = unlimited).

Not currently collected: full review history (only a sample of reviews per product), seller inventory beyond Best Buy, and order/stock history over time.

Data dictionary

Listing fields (always present when available):

Field	Type	Nullable	Description	Example
skuId	string	no	Best Buy SKU; recommended deduplication key	12349296
bsin	string	yes	Best Buy internal item identifier	...
title	string	no	Product title	HP - 14" Laptop - Intel N150...
brand	string	yes	Brand name	HP
modelNumber	string	yes	Manufacturer model number	...
url	string	yes	Product page URL	https://www.bestbuy.com/...
image	string	yes	Primary image URL	https://pisces.bbystatic.com/...jpg
price	number	yes	Current sale price	249.0
regularPrice	number	yes	Regular/list price	299.0
currency	string	yes	Currency code	USD
priceMessage	string	yes	Display price message	...
savings	number	yes	Absolute savings	50.0
savingsPercent	number	yes	Savings percentage	17
ratingAverage	number	yes	Average rating	4.5
ratingCount	integer	yes	Number of ratings	1200
condition	string	yes	Product condition	New
availability	string	yes	Display availability status	In Stock
sellerId / sellerClassification	string	yes	Seller identifiers	...
badges	array	yes	Promotional badge labels	["Top Rated"]
countryCode	string	yes	Market code	US
sourceQuery	string	yes	Query or source used	laptop
detailsFetched	boolean	no	Whether detail enrichment succeeded	false
scrapedAt	string	yes	ISO timestamp	2026-07-27T10:03:14.296336+00:00

Detail fields (present when fetchProductDetails is enabled and the page yields them):

Field	Type	Nullable	Description	Example
description	string	yes	Long or short product description	...
features	array	yes	Feature objects with title and description	[{"title":"...","description":"..."}]
specifications	array	yes	Spec objects with group, name, value, definition	[{"group":"Display","name":"Size","value":"14\""}]
images	array	yes	Gallery image URLs	["https://...jpg"]
color	string	yes	Color display name	Natural Silver
includedItems	array	yes	Items included in the box	["Power adapter"]
whatItIs	string	yes	Short product blurb	...
disclaimers	array	yes	Product disclaimers	[...]
manuals	array	yes	Manual objects with url, type, language	[{"url":"...","type":"Manual"}]
dimension	object	yes	depth, height, width, weight	{"weight":"2.0 lb"}
sampleReviews	array	yes	Review objects with rating, title, text, userNickname	[{"rating":5,"text":"..."}]

Example dataset record

{
  "skuId": "12349296",
  "title": "HP - 14\" Laptop - Intel N150 Processor - 4GB Memory - 128GB UFS - Natural Silver",
  "image": "https://pisces.bbystatic.com/image2/BestBuy_US/images/products/3bd638b3-4542-4115-8e43-34faa18a2382.jpg;maxHeight=256;maxWidth=384?format=webp",
  "price": 249.0,
  "currency": "USD",
  "countryCode": "US",
  "sourceQuery": "laptop",
  "detailsFetched": false,
  "scrapedAt": "2026-07-27T10:03:14.296336+00:00"
}

The record above was produced by a run with searchQueries: ["laptop"], countryCode: "US", and fetchProductDetails: false.

Query and input reference

Input	Type	Required	Default	Accepted values	Description
searchQueries	array	no	["laptop"]	product terms	Search terms against the selected market
startUrls	array	no	—	category/search/product URLs	Country inferred from host
skuIds	array	no	—	Best Buy SKU IDs	Scrape specific products directly
fetchProductDetails	boolean	no	false	true / false	Enrich with details; adds product-details event
countryCode	string	no	US	US, CA	Market for query-based input
zipCode	string	no	55423	US ZIP or CA postal	Pricing/availability context
storeId	string	no	""	store id	Preferred store for pickup context
maxItems	integer	no	0	0 = unlimited	Maximum products to scrape
proxyConfiguration	object	no	residential proxy	proxy settings	Residential proxies are recommended

Minimal request:

{
  "searchQueries": ["laptop"],
  "countryCode": "US",
  "maxItems": 25,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Advanced request (details enrichment):

{
  "startUrls": [
    {
      "url": "https://www.bestbuy.com/site/all-electronics-on-sale/all-apple-on-sale/pcmcat1688758488330.c?id=pcmcat1688758488330"
    }
  ],
  "fetchProductDetails": true,
  "countryCode": "US",
  "zipCode": "55423",
  "maxItems": 5,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"]
  }
}

Retrieve the data through the API

1. Start the Actor with a JSON input (see above).
2. Wait for the run to finish.
3. Retrieve items from the run's default dataset.
4. Paginate or export the dataset.

Python example:

import json
import urllib.request

API_TOKEN = "<your Apify API token>"
ACTOR_ID = "datascrapers/best-buy-scraper"

payload = {
    "searchQueries": ["laptop"],
    "countryCode": "US",
    "maxItems": 25,
    "proxyConfiguration": {"useApifyProxy": True, "apifyProxyGroups": ["RESIDENTIAL"]},
}

req = urllib.request.Request(
    f"https://api.apify.com/v2/acts/{ACTOR_ID}/runs?token={API_TOKEN}",
    data=json.dumps(payload).encode(),
    headers={"Content-Type": "application/json"},
)
with urllib.request.urlopen(req) as resp:
    run = json.loads(resp.read())["data"]

dataset_id = run["defaultDatasetId"]
with urllib.request.urlopen(
    f"https://api.apify.com/v2/datasets/{dataset_id}/items?token={API_TOKEN}"
) as resp:
    items = json.loads(resp.read())

For other languages, use the generated API tab on the Actor's page.

Data quality and record handling

• Conditional fields — detail fields (description, features, specifications, images, reviews) appear only when fetchProductDetails is enabled and Best Buy exposes them.
• Nullable values — ratingAverage, ratingCount, and regularPrice may be absent for some products.
• Deduplication — skuId is the stable, recommended unique key. bsin and url are also unique.
• Retries and errors — requests are retried; a product that fails to load is skipped rather than partially written.
• Normalization — price and regularPrice are numeric; currency is a separate field, so prices are already machine-readable.

The Actor reflects Best Buy's catalog at run time and does not provide price history.

Export and pipeline examples

Destination	Recommended method	Typical use
PostgreSQL/Supabase	Dataset API or webhook consumer	Product catalog keyed by skuId
Google Sheets	Apify integration	Review a small result set
S3/cloud storage	Scheduled export or integration	Daily price/availability snapshots
BI tools	CSV/JSON export	Price and rating trend analysis

Pricing and cost examples

The Actor uses pay-per-event billing. Two charge events apply:

• dataset-item — $3.00 per 1,000 product records returned.
• product-details — $4.00 per 1,000 products when fetchProductDetails is enabled (in addition to the listing event).

Apify plan discounts (Bronze/Silver/Gold) reduce these rates.

Records	Estimated base cost
1,000 products	$3.00
10,000 products	$30.00
10,000 products + details	$70.00

Estimates assume the free-tier rate and no proxy markup; actual cost depends on your Apify plan and selected options.

Limitations and responsible data use

• The Actor collects publicly accessible product data only; it does not bypass login or paywalls.
• Results depend on Best Buy's current page structure; site changes can require Actor updates.
• Some fields are conditional or nullable (see Data dictionary).
• The Actor returns a sample of reviews per product, not the full review history.
• The Actor does not retain historical snapshots unless you store them yourself.
• You are responsible for complying with Best Buy's terms of service and applicable privacy and contractual obligations.

Dataset questions

What does one dataset item represent?

One Best Buy product, optionally enriched with full product-page details.

Which field should I use as a unique identifier?

skuId. bsin and url are also unique per product.

Are fields nullable or conditional?

Yes. Rating and regular price may be null. Detail fields appear only when fetchProductDetails is enabled.

Can I retrieve the records as CSV or JSON?

Yes. The default dataset supports JSON, CSV, Excel, and XML exports, and the Dataset API returns JSON.

How do I paginate large datasets?

Set maxItems to bound the run, or paginate the default dataset via the Dataset API.

What counts as a billable result?

Each product returned counts as one dataset-item. Enabling fetchProductDetails adds one product-details event per product.

Related datasets from Data Scrapers

• Amazon Search Scraper — Amazon product records for cross-retailer price comparison.
• HomeDepot Scraper — home-improvement product data with stock levels.
• Clutch.co Company Scraper — company ratings for joining with product brands and manufacturers.
• LinkedIn Company Scraper — company records for vendor and brand analysis.

Data Scrapers support

Need an additional field, record type, or export workflow? Contact Data Scrapers at stardustspotlight@gmail.com. Include a sample source URL, required fields, expected record volume, and preferred delivery format.