Amazon Bestsellers Scraper

Amazon Bestsellers Scraper: rank, ASIN and price from any Best Sellers list

Paste an Amazon Best Sellers, New Releases, Movers & Shakers or Most Wished For link and the ranking comes back as a table: position, ASIN, title, price, stars, review count, image, product link and the category path. You can skip links entirely and type department names instead, then pick the marketplace.

Here is the ceiling first, because it decides whether this fits. One list tops out at 60 products. Amazon renders 30 per page over exactly two pages, so the ranks you get are 1 to 30 and 51 to 80. Ranks 31 to 50 are not on Amazon's own list pages at all. For more depth, run the subcategories: each one has its own 60.

🏆 What Amazon Bestsellers Scraper does

It reads the ranking page Amazon serves to a signed-out visitor and turns each card into a row. Both link shapes work, /gp/bestsellers/electronics/ and /Best-Sellers-.../zgbs/electronics/172541/, and each link carries its own marketplace and list type, so one run can mix countries and mix Best Sellers with New Releases.

The other way in is names. Type Home & Kitchen or Bücher, choose a marketplace, and the name is matched against that marketplace's own Best Sellers menu rather than a list typed in here. That is why the German and Japanese spellings work.

Prices come back in the marketplace's own currency. A list read for amazon.co.jp is priced in yen, not converted into whatever currency the page would otherwise have been offered in.

📥 What you give it

{
  "categoryUrls": ["https://www.amazon.com/gp/bestsellers/electronics/"],
  "categories": ["Home & Kitchen", "Toys & Games"],
  "listType": "bestsellers",
  "domain": "com",
  "maxItemsPerCategory": 60
}

You can put links in categoryUrls and names in categories in the same run. Leave the whole input empty and you get one labelled sample row and nothing else, so you can look at the shape first.

📤 What you get back

A real row from a recent run, with the image link trimmed:

{
  "ok": true,
  "charged": true,
  "recordType": "product",
  "categoryName": "Electronics",
  "categoryPath": "Electronics",
  "listType": "bestsellers",
  "marketplace": "amazon.com",
  "inputUrl": "https://www.amazon.com/gp/bestsellers/electronics/",
  "rank": 1,
  "asin": "B08JHCVHTY",
  "title": "blink plus plan with monthly auto-renewal",
  "brand": null,
  "price": "$11.99",
  "priceValue": 11.99,
  "currency": "USD",
  "rating": 4.4,
  "reviewCount": 280370,
  "image": "https://images-na.ssl-images-amazon.com/images/I/31YHGbJsldL._AC_UL900...",
  "productUrl": "https://www.amazon.com/dp/B08JHCVHTY",
  "previousRank": null,
  "rankChangePercent": null,
  "page": 1,
  "scrapedAt": "2026-09-21T01:27:53.306Z"
}

🧾 Reading the output

Three kinds of row can land in your dataset.

The charged field tells product rows apart from sample and diagnostic rows. It is stamped when the row is built rather than after the money moves, so read it as a row-kind marker and reconcile against the charged events on the run itself if you need an exact count.

One bad category never stops the others, and a diagnostic row never fails the run.

▶️ How to run it

1. Open Amazon Bestsellers Scraper and click Try for free. 2. Paste your list links into Category URLs, replacing the example. Or clear that box and type department names into Category names or slugs instead. 3. If you are using names, set Marketplace and Which list. 4. Set Products per category. Start around 10 while you look at the rows, then raise it. 5. Click Start, then download the dataset as JSON, CSV or Excel, or read it from the Apify API.

💰 How much does it cost?

$0.26 per 1,000 products. Flat on every Apify plan, with no volume tiers.

Nothing else is metered per row. The sample row is not billed, diagnostic rows are not billed, a category Amazon returns empty produces no billed rows, and a product id repeated inside one category list is dropped before it gets that far.

💡 What people use it for

• Pulling the top 60 of a category every morning and watching which ASINs enter and leave.
• Tracking one ASIN's position across a category and its subcategories over weeks.
• Price-band research. priceValue and currency come typed, so the median price of a category is

one spreadsheet formula.

• Catching new entrants early on the New Releases list, which is the same run with one field

changed.

• Comparing the same category across marketplaces. Every row says which marketplace it came from.

🚧 What it does not do

• It cannot go past 60 per list. Amazon renders 30 per page over two pages, so ranks 31 to 50

and 81 onward do not exist on the page being read.

• Movers & Shakers and Most Wished For are usually empty. Amazon answers most categories on

both with nothing on the page, and you get an uncharged NO_RESULTS row. In September 2026 Most Wished For had products on amazon.co.jp and on no other marketplace we tried.

• No Gift Ideas list. Amazon showed it empty on every marketplace we tried.
• brand is null for most hard goods, because Amazon prints no byline on those cards. Filling

it would mean opening every product page.

• Only what the ranking card shows. Descriptions, variations, seller, stock and shipping live

on the product page and are out of scope here.

• Names resolve to departments, not deep subcategories. Headphones is not on that menu. Use

its link, or the slug/node form.

• Prices are a snapshot. A book showing several formats gives the lowest "offers from" price,

which is not always the format sitting at that rank.

• Two runs an hour apart can disagree, and both be right. Best Sellers is recalculated hourly.
• Kindle, Audible, Apps and Digital Music cards read thinner. Some carry no price at all.
• A big run can come back short. Amazon rate-limits hard, and a page it will not serve becomes

an uncharged diagnostic rather than a half-filled list passed off as complete. Only delivered product rows are billed.

🧭 Which Amazon scraper do you need?

❓ Questions people ask

Why do the ranks jump from 30 to 51? Because Amazon's own pages do. Page one shows 30 of its 50-product block and page two starts again at 51. Open a list in a browser and you will see the same gap.

Can I get more than 60 from one category? Not from this page. Run the subcategories instead. categoryPath tells you which row came from which.

What happens when a category returns nothing? One uncharged diagnostic row naming the reason, and the run carries on to the others.

Can I schedule it? Yes. Nothing is kept between runs. Diff on asin for what entered or left, and on rank for what moved.

Is this legal? These are public ranking pages with no account behind them. Apify's write-up on scraping and the law is a good starting point, and we are not lawyers.

🆘 If something breaks

Open the Issues tab on the actor page. Send the link or the department name you used and the run ID. The errorCode on the diagnostic row usually names the problem on its own.