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Get Started Free →browser-act/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,
Passed 15 of 18 test cases with the skill, and 7 of 18 without it.
and 7 more in the full report
9 fixed9 passed either way4 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 9 test cases the skill fixed. Same model, same prompt, with and without the skill.
In the JSON extraction schema, from what document element is categoryName parsed?
| Checked | Without skill | With skill |
|---|---|---|
| Identifies document.title as the source property for categoryName | Missed | Passed |
The instructions your model reads when the skill loads.
Input any Amazon Best Sellers (/zgbs/ or /gp/bestsellers/) URL → output ranked product list (position 1..N) + category info + pagination.
All process output to user (progress updates, process notifications) follows the user's language.
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.
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})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.
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 viabrowser-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 tobrowser-act eval. Do not runeval "$(python ...)"as a bare shell command; that would ask bash to execute the JS as shell, which fails.
Bestseller pages are server-rendered — no XHR/fetch API for chart data. Cards use the stable #gridItemRoot container (30 cards per page, 2 pages up to top 50).
navigate {any Amazon bestseller URL, e.g. https://www.amazon.com/gp/bestsellers/{category}, https://www.amazon.com/Best-Sellers/zgbs/{category}?pg=2}wait stablebrowser-act --session {name} eval "$(python scripts/extract-bestseller.py)"On error path, the script returns:
{"error": true, "message": "no bestseller cards found - is this a /bestsellers/, /gp/bestsellers/ or /zgbs/ page?"} when #gridItemRoot selectors match zero cards (possibly wrong URL, or Amazon returned an interstitial)test cases passed, vs 7 / 18 without
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