Agent skill

amazon-bestseller-listing

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 best

browser-actgithub.com/browser-actGitHub ↗
claude-codecodexcursorships scriptsMIT
Install
npx skills add browser-act/skills --skill amazon-bestseller-listing --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 2
SKILL.md size: 8 KB
Bundled scripts: yes
Path: solutions/ecommerce/amazon-bestseller-listing/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 5,160
Language: Python
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# 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 thei

What's inside
Steps it walks through
  1. Language
  2. Objective
  3. Prerequisites
  4. Pre-execution Checks
  5. 1. Tool Readiness
  6. Capability Components
  7. DOM: extract bestseller cards from current best-sellers page
  8. Pagination
  9. Success Criteria
  10. Known Limitations
  11. Execution Efficiency
  12. Experience Notes
Ships with 1 file
  • scripts/extract-bestseller.py
More from skills
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About this skill
What does the amazon-bestseller-listing skill do?

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 best

How do I install it?

Run `npx skills add browser-act/skills --skill amazon-bestseller-listing --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From browser-act/skills, a repository with 5,160 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

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