Amazon Best Sellers Scraper — Top 100 per Category

Scrape Amazon Best Sellers and Hot New Releases for any category or subcategory — the full top 100 of each list (including the 40 products Amazon lazy-loads), with:

rank, ASIN, title, price (or price range), rating, number of reviews, image, product URL, category name and list URL.

Turn on "Also scrape all subcategories" to get the top 100 of every subcategory in one run (e.g. Electronics → 18 lists → 1,900 products).

How to run it in 3 steps

1. Add your input. In Categories paste category slugs or Best Sellers links from your browser — e.g. electronics. The form is already filled with a working example, so you can skip this step for a first try.
2. Press Start. The prefilled run returns 30 products in about 7 s and costs about $0.090. Set Max results (cost cap) to cap the cost of bigger runs; you only pay for products actually delivered.
3. Get the data. Open the Output tab and export JSON, CSV or Excel — or run it from the API, Make, Zapier, n8n or an AI agent (see below).

Features

• Complete lists: all 100 ranks, not just the 30 rendered in the HTML.
• Real US prices: every session sets a US delivery ZIP (default 10001).
• Fast: pure HTTP — 3 categories × 100 products in ~4 seconds in our test.
• Pay per product: $3 per 1,000 products.

Use cases

• Product research / FBA: what sells best right now in each niche.
• Trend spotting: track Hot New Releases daily.
• Competitor monitoring: your products' and competitors' rank, price and reviews over time.

Input

{
  "categories": ["electronics", "kitchen", "https://www.amazon.com/Best-Sellers-Electronics-Car-Electronics/zgbs/electronics/1077068/"],
  "listType": "bestsellers",
  "includeSubcategories": false
}

Output

Real output (default input)

First 2 of 30 records from a run with the prefilled input (4.8 s on a test machine; long values shortened here):

[
  {
    "rank": 1,
    "asin": "B08JHCVHTY",
    "title": "blink plus plan with monthly auto-renewal",
    "url": "https://www.amazon.com/dp/B08JHCVHTY",
    "price": 11.99,
    "priceMax": null,
    "priceText": "$11.99",
    "currency": "USD",
    "rating": 4.4,
    "reviewsCount": 281100,
    "image": "https://images-na.ssl-images-amazon.com/images/I/31YHGbJsldL._AC_UL300_SR300,200_.png",
    "salesRankChange": null,
    "rankInfo": null,
    "currentSalesRank": null,
    "salesRank24hAgo": null,
    "percentageChange": null,
    "listType": "bestsellers",
    "category": "Electronics",
    "categoryPath": "electronics",
    "listUrl": "https://www.amazon.com/gp/bestsellers/electronics",
    "scrapedAt": "2026-10-15T12:14:14.154Z"
  },
  {
    "rank": 2,
    "asin": "B0DCH8VDXF",
    "title": "Apple EarPods Headphones with USB-C Plug, Wired Ear Buds with Built-in Remote to Control Music, Phone Calls, and Volume",
    "url": "https://www.amazon.com/dp/B0DCH8VDXF",
    "price": 19,
    "priceMax": null,
    "priceText": "$19.00",
    "currency": "USD",
    "rating": 4.5,
    "reviewsCount": 19026,
    "image": "https://images-na.ssl-images-amazon.com/images/I/513OSdW4elL._AC_UL300_SR300,200_.jpg",
    "salesRankChange": null,
    "rankInfo": null,
    "currentSalesRank": null,
    "salesRank24hAgo": null,
    "percentageChange": null,
    "listType": "bestsellers",
    "category": "Electronics",
    "categoryPath": "electronics",
    "listUrl": "https://www.amazon.com/gp/bestsellers/electronics",
    "scrapedAt": "2026-10-15T12:14:14.154Z"
  }
]

{
  "rank": 46,
  "asin": "B0HLLP1K9G",
  "title": "Dash Cam Front and Rear Inside 3 Channel, 4K Full HD Dash Camera for Cars …",
  "price": 39.99,
  "priceText": "$39.99",
  "currency": "USD",
  "rating": 4.9,
  "reviewsCount": 18,
  "image": "https://images-na.ssl-images-amazon.com/images/I/81EMta9uh1L._AC_UL300_SR300,200_.jpg",
  "url": "https://www.amazon.com/dp/B0HLLP1K9G",
  "listType": "bestsellers",
  "category": "Car Electronics",
  "listUrl": "https://www.amazon.com/gp/bestsellers/electronics/1077068"
}

Need full product details (BSR, specs, seller)? Feed the ASINs into our Amazon Product Scraper.

Pricing

• $3.00 per 1,000 products ($0.003 per product).
• The prefilled input returns 30 products → $0.09.
• Example: 1,000 products → $3.00; 10,000 → $30.00. Set Max results (cost cap) to limit any run.

• Only delivered products are charged.
• Your Apify spending limit is respected exactly: the actor stops charging and finishes cleanly when it is reached. Apify platform usage (compute, proxy) is included in the price.

Ask in plain English

Using Apify AI, Claude, ChatGPT or another MCP client? Just describe what you need, the agent fills the input for you:

You ask	Input the agent sends
"What are the top Amazon best sellers in electronics right now?"	{"categories": ["electronics"]}
"Show new releases in Books on Amazon"	{"categories": ["books"], "listType": "newReleases"}

Use with AI agents (MCP), LangChain, RAG & the API

This actor is a ready-made tool for AI agents: an LLM can call it, wait for the run and read clean JSON back.

MCP server (Claude Desktop, Claude Code, Cursor, VS Code, any MCP client) — add Apify's hosted MCP server with this actor enabled as a tool:

{
  "mcpServers": {
    "apify": {
      "url": "https://mcp.apify.com/?tools=torix33/amazon-bestsellers-scraper",
      "headers": { "Authorization": "Bearer <APIFY_TOKEN>" }
    }
  }
}

LangChain / LangGraph (pip install langchain-apify, set APIFY_API_TOKEN):

import json
from langchain_apify import ApifyActorsTool, ApifyWrapper
from langchain_core.documents import Document

# 1) give the actor to an agent as a tool
tool = ApifyActorsTool("torix33/amazon-bestsellers-scraper")

# 2) or load results as Documents for a RAG index
loader = ApifyWrapper().call_actor(
    actor_id="torix33/amazon-bestsellers-scraper",
    run_input={"categories": ["electronics", "kitchen", "https://www.amazon.com/Best-Sellers-Electronics-Car-Electronics/zgbs/electronics/1077068/"], "listType": "bestsellers", "includeSubcategories": False},
    dataset_mapping_function=lambda item: Document(page_content=json.dumps(item, ensure_ascii=False), metadata={"url": item.get("url")}),
)
docs = loader.load()

REST API — one synchronous call, dataset items in the response:

curl -X POST "https://api.apify.com/v2/acts/torix33~amazon-bestsellers-scraper/run-sync-get-dataset-items?token=<APIFY_TOKEN>" \
  -H "Content-Type: application/json" \
  -d '{"categories": ["electronics", "kitchen", "https://www.amazon.com/Best-Sellers-Electronics-Car-Electronics/zgbs/electronics/1077068/"], "listType": "bestsellers", "includeSubcategories": false}'

Also works with the Apify Python/JS clients, Make, Zapier, n8n, Google Sheets, webhooks and schedules. Export as JSON, CSV, Excel, XML or RSS.

RAG tip: Schedule it daily and let an agent diff rank per asin to report what is climbing in your category.

Limitations

• Amazon.com (US) only, with prices for one US delivery ZIP code.
• Best-seller ranks change hourly; a run is a snapshot.
• Products without a buy box may have no price.

FAQ

Does it return all 100 ranks? Yes — not just the 30 rendered in the HTML.

Can I include subcategories? Yes. Set includeSubcategories: true.

Which Amazon store is supported? Amazon.com (US), with prices for a US delivery ZIP.