Best Buy Scraper

Best Buy Scraper — prices, specs and reviews for any Best Buy product

Turn a list of keywords, product links, or SKUs into a clean dataset of Best Buy products. One run can mix both kinds of input: keywords return that search's results, while a product link or SKU returns that exact product with its full detail. Every row carries the price, savings, open-box offers, rating, review count, image gallery and category.

Search-result rows are fast and cheap. Turn on full details — or use a product link or SKU — and each row also gets the description, feature bullets, full specification list, what's in the box, the review summary with pros and cons, the star breakdown, and the top customer reviews.

What can Best Buy Scraper do?

• Search by keyword and return up to 1,000 products per keyword
• Paste product links or SKUs to get exact products, with full details always included
• Mix keywords, links and SKUs in one list — each line is detected automatically
• Capture the current price, regular price, savings and every open-box buying option with its condition and price
• Collect full specifications, feature bullets, box contents, manuals, review summary, pros and cons, star distribution and customer reviews
• Export results to JSON, CSV, Excel, or XML
• Run via the API, schedule runs, and integrate through webhooks or MCP

What data can I extract?

What you get

Features

Product — SKU, name, title, brand, model number, URL, condition, listing status, categories, seller Pricing — current price, regular price, savings and savings percent, plus open-box offers per condition Media — primary image plus the full-size image gallery Ratings — average rating, review count, star distribution, recommended percent Full detail — description, feature bullets, specifications, box contents, manuals Reviews — review summary, pros and cons, and up to 50 customer reviews with rating, author, date and verified-purchase flag

Two row types: search-result rows (listing fields) and full-detail rows Mixed input: keywords, product links and SKUs in one run Up to 1,000 results per keyword Export to JSON, CSV, Excel, XML API access, webhooks, SDKs LLM-ready output for MCP, ChatGPT, Claude

How to use Best Buy Scraper

1. Create a free Apify account.
2. Open Best Buy Scraper in Apify Console.
3. Enter one or more Search queries, product links, or SKUs — one per line. The form is prefilled with airpods.
4. Set Max results per search. Leave Fetch full details for search results off for a fast, cheaper listing run, or turn it on for complete product rows.
5. Click Save & Start.
6. Download results in JSON, CSV, Excel, or XML.

Input

There is one target list. Each line is detected automatically:

• a keyword (airpods, usb c charger) returns that search's products, capped by Max results per search
• a product link (https://www.bestbuy.com/product/.../JJGCQP634G, or any link containing /sku/6376564) returns that product with full details
• a bare SKU (6376564) returns that product with full details

Keywords, links and SKUs can be mixed freely in the same list, and duplicates are removed.

• queries — keywords, product links and SKUs, one per line.
• max_results_per_query — cap per keyword (default 50, maximum 1,000). Links and SKUs always return their single product.
• fetch_full_details — add description, specifications and reviews to keyword results (off by default; billed at the full-detail rate).
• max_reviews — reviews per full-detail row (default 10, maximum 50). Set 0 to keep the summary and rating breakdown but skip the review texts.

Example input

{
  "queries": [
    "airpods",
    "https://www.bestbuy.com/product/apple-airpods-5-true-wireless-active-noise-cancelling-earbuds-with-wireless-charging-case-white/JJGCQP634G",
    "6376564"
  ],
  "max_results_per_query": 50,
  "fetch_full_details": true,
  "max_reviews": 10
}

See the Input tab above for every parameter.

Output

Results land in a dataset under the Storage tab. Open the Overview table for one row per product, Details for descriptions and specifications, or Reviews for rating breakdowns and customer reviews. Download in JSON, CSV, Excel, or XML, or pull them via the API.

A full-detail row (trimmed: image gallery, offers, features, specifications and reviews are shortened here):

{
  "sku": "6376564",
  "name": "Apple - AirPods 5 True Wireless Active Noise Cancelling Earbuds with Wireless Charging Case - White",
  "title": "AirPods 5 True Wireless Active Noise Cancelling Earbuds with Wireless Charging Case",
  "brand": "Apple",
  "model_number": "MKFT4LL/A",
  "url": "https://www.bestbuy.com/product/apple-airpods-5-true-wireless-active-noise-cancelling-earbuds-with-wireless-charging-case-white/JJGCQP634G",
  "image": "https://pisces.bbystatic.com/image2/BestBuy_US/images/products/c67c787c-ce22-4a50-b1c8-f90ebc90dddb.jpg",
  "images": [
    "https://pisces.bbystatic.com/image2/BestBuy_US/images/products/c67c787c-ce22-4a50-b1c8-f90ebc90dddb.jpg",
    "https://pisces.bbystatic.com/image2/BestBuy_US/images/products/7fbc921a-31a4-4b90-bdb1-f5540f603eda.jpg"
  ],
  "price": 149,
  "regular_price": 149,
  "savings": 0,
  "savings_percent": 0,
  "currency": "USD",
  "status": "active",
  "condition": "new",
  "is_new": false,
  "categories": ["Headphones", "Wireless Headphones"],
  "rating": 4.7,
  "review_count": 100,
  "sold_by": "Best Buy",
  "buying_options": [
    {
      "condition": "new",
      "price": 149,
      "url": "https://www.bestbuy.com/product/apple-airpods-5-true-wireless-active-noise-cancelling-earbuds-with-wireless-charging-case-white/JJGCQP634G/sku/6376564"
    },
    {
      "condition": "excellent",
      "price": 136.99,
      "url": "https://www.bestbuy.com/product/apple-airpods-5-true-wireless-active-noise-cancelling-earbuds-with-wireless-charging-case-white/JJGCQP634G/sku/6376564/openbox?condition=excellent"
    }
  ],
  "source": "product",
  "query": "",
  "row_type": "full",
  "scraped_at": "2026-10-20T13:48:48Z",
  "description": "AirPods 5 with Wireless Charging Case. Featuring Active Noise Cancellation for an immersive listening experience, a redesigned acoustic architecture for richer sound, and hands-free access to Siri AI.¹",
  "features": [
    {
      "title": "",
      "description": "ACTIVE NOISE CANCELLATION—AirPods 5 offer improved Active Noise Cancellation to help reduce outside noise."
    }
  ],
  "specifications": [
    { "name": "Noise Cancelling (Active)", "value": "true" },
    { "name": "Sound Mode", "value": "Stereo" },
    { "name": "Connection Type", "value": "Wireless" }
  ],
  "included_items": ["AirPods 5", "Wireless Charging Case (USB‐C)"],
  "manuals": [],
  "review_summary": "Customers have good things to say about this product, particularly highlighting its amazing sound quality and impressive battery life.",
  "pros": ["Sound Quality", "Battery Life", "Connection Stability", "Ergonomics"],
  "cons": [],
  "recommended_percent": 95,
  "rating_distribution": [
    { "stars": 5, "count": 88, "percent": 88 },
    { "stars": 4, "count": 5, "percent": 5 }
  ],
  "reviews": [
    {
      "id": "51a73c34-96b8-3f83-88ff-1ac4747f1eb8",
      "rating": 5,
      "title": "★★★★★ Love These AirPods!",
      "text": "I love these AirPods! The sound is clear, they connect quickly, and they're comfortable to wear.",
      "author": "Lalis",
      "date": "2026-10-02T15:08:04.000-05:00",
      "verified": true,
      "photos": []
    }
  ]
}

Field names are lowercase snake_case. row_type is basic for a search-result row and full when the detail fields are included; source is search for a keyword row and product for a link or SKU.

What can you do with the data?

1. Track prices and open-box deals

1. Run the Actor on the products you care about (links or SKUs).
2. Read price, savings and every entry in buying_options (new, excellent, good, fair).
3. Schedule the run hourly or daily and diff the results to spot price drops and open-box bargains.

2. Build a category catalogue

1. Run a set of keywords, for example 4k tv, oled tv, soundbar.
2. Keep max_results_per_query high enough to cover the shelf, and turn on full details.
3. Load specifications into a spreadsheet or a comparison table, or feed description and features to an LLM for summarisation.

How much does Best Buy Scraper cost?

The Actor uses pay-per-event pricing, and every returned row is charged exactly once:

• basic_details — a search-result row with the listing fields (name, price, savings, rating, images, categories). $3 per 1,000 rows ($0.003 each).
• full_details — a row that also carries the description, specifications, box contents, review summary and reviews. $4 per 1,000 rows ($0.004 each).

Product links and SKUs always produce full_details rows. Keyword results produce basic_details rows unless Fetch full details for search results is on.

Run	Rows	Cost
1 product link	1 full	$0.004
50 keyword results, details off	50 basic	$0.15
50 keyword results, details on	50 full	$0.20
500 keyword results, details on	500 full	$2.00
1,000 full rows	1,000 full	$4.00

Prices exclude the small Apify platform usage for the run. See the Pricing tab for current rates and plan discounts.

FAQ

Do I need a Best Buy account, cookies, or an API key? No. Only publicly visible product data is collected, and no credentials are needed.

What is the difference between a basic and a full row? A basic row is what a keyword search returns: name, brand, price, savings, rating, review count, images and categories. A full row adds the description, feature bullets, specifications, box contents, manuals, review summary, pros and cons, star breakdown and customer reviews. Set row_type to filter them in your dataset.

How many results can I get? Up to 1,000 products per keyword. A keyword can return fewer than you ask for — that is the full set the search exposes for it, not an error. Add more keywords to widen the coverage.

Can I scrape private or restricted content? No. The Actor only returns public product listings.

Are prices and stock live? Prices and buying options are captured at the moment of the run. status is the product's listing status, not per-store inventory, so the Actor does not report store-level pickup availability.

Can I use it with the API, SDKs, or MCP? Yes — see the API tab above, or connect through the Apify MCP server.

A product link was skipped. A link is matched to its product by its own identity. If the product no longer exists or the link cannot be matched, that line is skipped with a message in the run log and the rest of the run continues. Links that contain /sku/<id> resolve directly and are the most reliable.

Something isn't working. Open an issue in the Issues tab with the input you used and the run log. Billing problems and missing rows are easiest to diagnose with the run ID.

Notes and limitations

• This is a snapshot: prices, savings and open-box offers change after the run finishes.
• savings and savings_percent are 0 when the product is not discounted.
• buying_options lists only the conditions currently sold for the product; many products have just new.
• Specifications, manuals and box contents are missing for some products, and their lists are empty rather than wrong.
• Reviews are the site's most relevant reviews, up to 50 per product.
• The same product can appear once per keyword that matches it, so two overlapping keywords can produce the same SKU twice. Within one keyword, duplicates are removed.
• All prices are in USD, and results reflect the US storefront.

Support

Found a bug or have feedback? Open an issue in the Issues tab, or reach out through the Actor's contact details in Apify Console.