Amazon Best Sellers Scraper — Top 100 Ranked Products by Category

Pull Amazon's own ranked charts — Best Sellers and New Releases — for any category or browse node, on 18 Amazon marketplaces, as clean structured rows.

Amazon publishes a live sales-rank chart for every browse category it operates. Those charts are the single best public signal of what is actually selling on Amazon right now: they are recomputed hourly from real order volume, they cover every department from Electronics to Grocery, and they drill all the way down into thousands of narrow subcategories. This Actor turns any of those charts into a dataset with rank, ASIN, title, numeric price, star rating, review count, and image URL for up to 100 ranked positions per chart.

What you get

Each row is one ranked product on one chart, on one marketplace, at one point in time. Prices are parsed into real numbers with an explicit currency code, ratings and review counts are integers/floats rather than display strings, and every URL is absolute — so the output drops straight into a spreadsheet, a BI tool, or a pandas DataFrame with no cleanup step.

Use cases

• Product research / sourcing — find what is ranking in a category before you commit inventory, and watch how the top 100 shuffles week over week.
• Competitive monitoring — track whether your ASIN is entering or falling out of the chart for its category and node.
• Demand and trend detection — schedule a daily run and diff the chart to see which products are climbing.
• Pricing intelligence — capture the current buy-box or lowest-offer price of every product on a chart in one pass.
• New-product discovery — the New Releases chart surfaces launches within days, long before they accumulate reviews.
• Category benchmarking — compare the same category across the US, UK, India, Germany and 14 other marketplaces.
• Content and affiliate feeds — generate "top 50 in Kitchen" lists that stay current automatically.

Input parameters

Field	Type	Default	Description
categories	array of strings	["electronics"]	One entry per chart. Accepts a category slug, a slug/nodeId pair, or a full Amazon Best Sellers / New Releases URL.
listType	string	bestSellers	bestSellers (ranked by sales) or newReleases (ranked newest first).
country	string	us	Marketplace to read charts from. Ignored for entries that are already full URLs.
maxResults	integer	10	Ranked products to return per category, 1–100.
proxyConfiguration	object	residential, matching country	Proxy settings. Residential proxies matching the marketplace are strongly recommended.

Accepted categories formats

electronics                                        # slug on the selected marketplace
electronics/172623                                 # slug + browse-node ID (subcategory chart)
https://www.amazon.com/gp/bestsellers/kitchen      # full URL (marketplace + list type inferred)
https://www.amazon.co.uk/gp/new-releases/grocery   # full URL, New Releases

A full URL overrides both country and listType for that entry, so you can mix marketplaces in a single run.

Example input

{
  "categories": ["electronics", "kitchen", "electronics/172623"],
  "listType": "bestSellers",
  "country": "us",
  "maxResults": 100,
  "proxyConfiguration": {
    "useApifyProxy": true,
    "apifyProxyGroups": ["RESIDENTIAL"],
    "apifyProxyCountry": "US"
  }
}

Popular US category slugs

electronics, books, kitchen, beauty, grocery, pet-supplies, toys-and-games, videogames, sporting-goods, office-products, home-garden, lawn-garden, automotive, appliances, fashion, hpc (health & personal care), baby-products, industrial, musical-instruments, software, wireless, amazon-devices, arts-crafts, movies-tv, music, photo, pc.

Slugs are marketplace-specific. amazon.de, for example, uses computers where amazon.com uses electronics. The safest approach on a non-US marketplace is to open the chart in a browser and paste the URL.

Supported marketplaces

United States, United Kingdom, Canada, India, Germany, France, Italy, Spain, Netherlands, Sweden, Poland, Japan, Australia, Singapore, United Arab Emirates, Saudi Arabia, Mexico, Brazil.

Output fields

One dataset item per ranked product.

Field	Type	Description
rank	integer	Position on the chart, 1–100. Taken from Amazon's own rank data, not from render order.
asin	string	Amazon Standard Identification Number.
title	string	Product title as shown on the chart.
by_line	string	Author / artist / brand line. Populated on Books, Music and Video charts; empty on most hard-goods charts.
product_format	string	Binding or edition line, e.g. Paperback, Kindle Edition. Media charts only.
price	number | null	Displayed price as a number. null when the chart shows no price for that product.
price_text	string	Price exactly as displayed, including the local symbol.
price_type	string	list for a straight price, from when Amazon shows "N offers from …".
offers_count	integer | null	Number of competing offers, when Amazon shows an "N offers from" line.
currency	string	ISO currency code of the marketplace, e.g. USD, GBP, INR.
currency_symbol	string	Local currency symbol, e.g. $, £, ₹.
rating	number | null	Star rating as a number, e.g. 4.6.
rating_text	string	Rating as displayed, e.g. 4.6 out of 5 stars.
reviews_count	integer | null	Review/rating count as an integer, e.g. 278492.
reviews_count_text	string	Review count as displayed, e.g. 278,492.
product_url	string	Canonical absolute product URL (https://{marketplace}/dp/{asin}).
image_url	string	Absolute product image URL.
reviews_url	string	Absolute URL of the product's reviews page.
list_type	string	bestSellers or newReleases.
category_slug	string	Category slug the chart was read from.
category_node_id	string | null	Browse-node ID when a subcategory chart was requested.
category_url	string	Absolute URL of the chart page this row came from.
page	integer	1 for ranks 1–50, 2 for ranks 51–100.
marketplace	string	Amazon domain, e.g. www.amazon.com.
country	string	Marketplace country code, e.g. us.
source_query	string	The exact categories entry that produced this row.
scraped_at	string	ISO 8601 UTC timestamp of the fetch.

Example output

{
  "rank": 1,
  "asin": "1668236516",
  "title": "Theo of Golden: A Novel",
  "by_line": "Allen Levi",
  "product_format": "Paperback",
  "price": 14.98,
  "price_text": "$14.98",
  "price_type": "list",
  "offers_count": null,
  "currency": "USD",
  "currency_symbol": "$",
  "rating": 4.7,
  "rating_text": "4.7 out of 5 stars",
  "reviews_count": 153523,
  "reviews_count_text": "153,523",
  "product_url": "https://www.amazon.com/dp/1668236516",
  "image_url": "https://images-na.ssl-images-amazon.com/images/I/81P0NvoRrWL._AC_UL300_SR300,200_.jpg",
  "reviews_url": "https://www.amazon.com/product-reviews/1668236516",
  "list_type": "bestSellers",
  "category_slug": "books",
  "category_node_id": null,
  "category_url": "https://www.amazon.com/gp/bestsellers/books",
  "page": 1,
  "marketplace": "www.amazon.com",
  "country": "us",
  "source_query": "books",
  "scraped_at": "2026-07-27T22:55:24+00:00"
}

Limitations

Please read these before you plan a large job — they are properties of Amazon's charts, not of this Actor.

• 100 ranks per chart, hard cap. Amazon itself only publishes the top 100 positions of any chart; requesting a third page returns an error. maxResults is capped at 100 per category for this reason. To go deeper, pass subcategory browse nodes — each node has its own independent top 100.
• Chart data only, not full product detail. Rows contain what the chart itself exposes: rank, ASIN, title, one price, rating, review count, image. There is no description, bullet points, variant list, seller name, buy-box breakdown, stock level, or category-specific attribute set. Pair this Actor with a product-detail scraper if you need those.
• Price is the chart price. Where Amazon shows "N offers from $X" instead of a single price, price is that lowest-offer figure and price_type is from. Some products — subscriptions, certain grocery and marketplace items — show no price at all on the chart; those rows carry price: null rather than being dropped.
• Rating and review coverage varies by chart. On mature Best Sellers charts, ratings are present on ~98–100% of rows. On New Releases charts many products are days old and have no reviews yet — in live testing a UK New Releases chart returned ratings on 56% of rows. This is real chart data, not a parsing gap.
• by_line and product_format are media-only. Books, Music and Video charts populate them on ~98–100% of rows; Electronics, Kitchen and similar hard-goods charts do not carry an author/format line at all, so those fields are empty there.
• Category slugs are marketplace-specific. A slug that works on amazon.com may not exist on amazon.de or amazon.co.jp. Unknown slugs produce a warning and zero rows for that entry, not a failed run. When in doubt, paste the full chart URL.
• Occasional empty renders. A small share of requests return a valid page with an empty grid. The Actor retries once with a fresh session, which resolves it in most cases; a chart that is empty on both attempts is reported as having no results.
• Movers & Shakers is not supported. That third chart type is not delivered in the server-rendered response and is deliberately out of scope.
• Charts are point-in-time. Amazon recomputes Best Sellers roughly hourly. Two runs minutes apart can legitimately differ. Schedule runs and store snapshots if you want a trend series.
• Residential proxies recommended. Amazon throttles datacenter address space aggressively. Run with residential proxies in the marketplace's own country for consistent results.

Legal

This Actor collects only publicly available information from Amazon's public best-seller charts. It does not log in, does not access personal data, and does not bypass any paywall. You are responsible for ensuring your use of the data complies with Amazon's terms and with applicable law in your jurisdiction.

Compared to alternatives

• vs. junglee/Amazon-crawler: This actor is focused on ranked Best Sellers and New Releases charts, including chart position and point-in-time category context.
• vs. general Amazon product scrapers: Use this actor for category rankings; use a product-detail actor when you need offers, variants, sellers, or descriptions.

FAQ

Can I collect more than 100 products from one chart? No. Amazon publishes a maximum of 100 positions per chart. Use narrower subcategory nodes for broader coverage.

Does it support New Releases? Yes. Set listType to newReleases.

Can one run cover multiple marketplaces? Yes. Full chart URLs can be mixed in categories; each URL determines its marketplace.

Last verified: 2026-07

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