
Amazon Best Sellers Scraper is a BrowserAct Bot template for collecting structured product records from public Amazon Best Sellers pages.
Amazon Best Sellers Scraper is a BrowserAct Bot template for collecting structured product records from public Amazon Best Sellers pages. Select a verified marketplace and department combination, set the result count, and run the Bot to return ranked product data for ecommerce research, category monitoring, price tracking, or workflow automation.
This template maps the selected marketplace and department to the correct public Amazon Best Sellers page, reads ranked product cards, scrolls or paginates when needed, and returns one structured record per product.
Field | Description |
|---|---|
| Product rank within the selected Best Sellers department. |
| Product name shown in the listing card. |
| Public Amazon product URL. |
| Product image URL from the listing. |
| Visible star rating. |
| Visible review count. |
| Current listing price when shown. |
| Selected Best Sellers category or department. |
Parameter | Required | Default | Description |
|---|---|---|---|
| Yes |
| A verified Amazon marketplace and Best Sellers department pair selected from the dropdown. |
| Yes |
| Maximum number of product records to return. |
The table below uses records preserved from the validated Bot run. Up to the first 5 records are shown, and long values are shortened in this documentation preview.
rank | product_name | product_url | image_url | star_rating | review_count | current_price | category |
|---|---|---|---|---|---|---|---|
1 | Example Best-Selling Product | 4.6 | 134458 | $29.97 | Electronics |
BrowserAct maps marketplace_category to a verified Amazon marketplace origin and department slug. It opens {Marketplace Origin}/gp/bestsellers/{Department Slug}; for All Departments, it opens that marketplace's public Best Sellers root page.
The Bot reads ranked product cards, maps rank, name, URL, image, rating, review count, price, and category, then scrolls or paginates until count is reached or Amazon has no more public records available.
Open BrowserAct and start Agent Built from the Home prompt box or from Create -> Build with Agent. Paste a clear request that includes the website, the records to collect, the filters or search conditions, the fields to return, the result limit, and the inputs you want to reuse later.

BrowserAct explores the live website, works out the navigation and extraction path, and validates the result. If BrowserAct asks for clarification, reply in the same build conversation with the missing URL, condition, field, example, or expected output.

When the build is complete, run the Bot with the default inputs first. Review the structured records, source URLs, missing fields, and row count before reusing the Bot with new inputs or connecting it to another workflow.


Amazon Best Sellers data helps teams monitor category leaders, compare price and rating signals, discover trending products, research ecommerce opportunities, and feed product data into dashboards or agents.
Use count to control the number of products returned. Category pages can require scrolling and pagination; the available total depends on what Amazon exposes publicly for the selected page.
BrowserAct returns structured Amazon product records first. You can then use the output through API JSON responses, n8n workflows, Make scenarios, Zapier automations, MCP-based agent workflows configured from the Bot's Integrations tab, or manual CSV review.
Contact us at
Discord: Discord Community
E-mail: service@browseract.com