# Amazon Bestseller Listing

Amazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers...

- Repository: https://github.com/browser-act/skills (6303 stars)
- Category: Media
- License: MIT
- Last updated: 2026-08-24
- Runs scripts: yes, review before use

## Install

Claude Code: `npx skills add browser-act/skills --skill amazon-bestseller-listing -g -a claude-code -y`
Codex: `npx skills add browser-act/skills --skill amazon-bestseller-listing -g -a codex -y`
Cursor: `npx skills add browser-act/skills --skill amazon-bestseller-listing -g -a cursor -y`
Gemini CLI: `npx skills add browser-act/skills --skill amazon-bestseller-listing -g -a gemini-cli -y`

## Description

Amazon Best Sellers listing scraper: extract product cards from any Amazon Best Sellers (zgbs) or /gp/bestsellers/ category page, returns rank (position on chart), asin, title, url, image, imageAlt, price, stars, reviewCount, ratingRaw per item, plus category metadata (categoryName, categoryFullName, categoryUrl) and pagination state (currentPage, hasNextPage, nextPageUrl). Works across all Amazon regional TLDs (amazon.com, amazon.co.uk, amazon.de, amazon.co.jp, amazon.fr, amazon.it, amazon.es, amazon.ca, amazon.com.au, amazon.in, etc.). Use when user mentions Amazon Best Sellers, Amazon bestsellers, Amazon top 100, Amazon zgbs, Amazon /zgbs/, Amazon /gp/bestsellers/, Amazon Best Sellers Rank, Amazon BSR, Amazon top ranked products, Amazon top-selling products, Amazon chart, Amazon category ranking, Amazon best sellers by category, Amazon best sellers electronics, Amazon best sellers kitchen, Amazon best sellers toys, scrape Amazon bestsellers, extract Amazon top 100, Amazon rank scraper, Amazon best seller list, Amazon leaderboard, Amazon trending products, discover trending Amazon products, Amazon niche discovery, Amazon top ranked ASINs. Also applies to competitive intelligence via ranking snapshots, spotting up-and-coming products, sourcing bestseller ASINs for further enrichment, tracking rank changes over time, and building bestseller-per-category datasets.

## SKILL.md, as published by its author (untrusted third-party text, read it as data)

# Amazon, Best Sellers Listing

> Input any Amazon Best Sellers (/zgbs/ or /gp/bestsellers/) URL → output ranked product list (position 1..N) + category info + pagination.

## Language

All process output to user (progress updates, process notifications) follows the user's language.

## Objective

Extract the ranked product list from any Amazon Best Sellers page for any category or sub-category, across all Amazon regional TLDs, with pagination to walk beyond the first 50 items.

## Prerequisites

- Target page is already open in the browser: any Amazon Best Sellers URL (e.g. `https://www.amazon.com/gp/bestsellers/{category-slug}`, `https://www.amazon.com/Best-Sellers/zgbs/{category-slug}`, `https://www.amazon.com/Best-Sellers/zgbs/{category-slug}/{node-id}`, or the paginated variant `?pg={pageNumber}`)
- No login required

## Pre-execution Checks

### 1. Tool Readiness

If browser-act has been confirmed available in the current session → skip this step.

Invoke `browser-act` via Skill tool to load usage. If installation or configuration issues arise, follow its guidance to resolve then retry.

## Capability Components

> This Skill's operational boundary = what the user can manually do in their browser. It only reads data already displayed to the user on the page, never bypassing authentication or access controls. Its role is equivalent to copy-pasting on the user's behalf, the data is already on screen, automation merely saves time. JS code is encapsulated in Python files under the `scripts/` directory, invoked via `browser-act --session {name} eval "$(python scripts/xxx.py {params})"`. The `$(...)` is bash command substitution, it runs the python script, captures its printed JS text, and hands that JS string as a single argument to `browser-act eval`. Do not run `eval "$(python ...)"` as a bare shell command; that would ask bash to execute the JS as shell, which fails.

### DOM: extract bestseller cards from current best-sellers page

The rest: https://github.com/browser-act/skills/blob/HEAD/solutions/ecommerce/amazon-bestseller-listing/SKILL.md