Amazon Best Sellers Scraper is a BrowserAct Bot template for collecting structured product records from public Amazon Best Sellers pages. Configure the marketplace, optional category path, and result count, then run the Bot to return ranked product data for ecommerce research, category monitoring, price tracking, or workflow automation.

What Does BrowserAct Amazon Best Sellers Scraper Do?

This template opens Amazon Best Sellers, reads visible ranked product cards, scrolls or paginates when needed, and returns one structured record per product.

Key Features

Extract public Amazon Best Sellers products without requiring an Amazon login.
Capture rank, product name, product URL, image URL, star rating, review count, current price, category, badge text, and availability text.
Configure marketplace URL, category path, and count.
Support the main Best Sellers page and category-specific best-seller pages.
Keep optional fields empty when Amazon does not display them.

What Data Can I Extract from Amazon?

Field	Description
`rank`	Product rank within the visible best-seller group or category.
`product_name`	Product name shown in the listing card.
`product_url`	Canonical Amazon product URL.
`image_url`	Product image URL from the listing.
`star_rating`	Visible star rating.
`review_count`	Visible review count.
`current_price`	Current listing price when shown.
`category`	Best Sellers category or department.
`badge_text`	Badge text when visible.
`availability_text`	Availability text when visible.

How to Use Amazon Best Sellers Scraper

Click Run task.
Enter the Amazon marketplace URL.
Optionally enter a Best Sellers category path.
Set how many product records to collect.
Run the Bot and review the structured product results.

Input Parameters

Parameter	Required	Default	Description
`marketplace_url`	Yes	`https://www.amazon.com`	Amazon marketplace origin without a path.
`category_path`	No	Empty	Optional category path appended after `/Best-Sellers/zgbs/`, such as `electronics`.
`count`	Yes	`20`	Maximum number of product records to return.

Example Output

{
  "products": [
    {
      "rank": 1,
      "product_name": "Example Best-Selling Product",
      "product_url": "https://www.amazon.com/dp/B000000000",
      "image_url": "https://images-na.ssl-images-amazon.com/images/example.jpg",
      "star_rating": 4.6,
      "review_count": 134458,
      "current_price": "$29.97",
      "category": "Kitchen & Dining",
      "badge_text": null,
      "availability_text": null
    }
  ]
}

How Does it Work?

How Amazon Best Sellers Scraper runs

BrowserAct constructs an Amazon Best Sellers URL from marketplace_url and category_path. With no category path, the Bot reads the public Best Sellers hub, where products are grouped by department. With a category path, the Bot opens the category-specific ranked list.

The Bot reads product cards from the public page, 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. Badge and availability fields are returned only when Amazon displays them.

How to Build a New Scraper Bot with Agent Built

Step 1: Describe the Data You Need

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.

Agent Built prompt templates

Step 2: Let BrowserAct Build and Test the Bot

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.

Agent Built exploration

Step 3: Run the Bot and Review the Result

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.

Agent Built run inputs

Agent Built run results

Why Scrape Amazon Best Sellers?

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.

Who Can Use This Template?

Ecommerce operators tracking best-selling products.
Marketplace analysts monitoring prices and ratings.
Product researchers discovering category trends.
Growth teams collecting competitive product data.
Automation builders routing product records into reports, alerts, databases, or agents.

How Many Results Can You Scrape?

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.

Automation and Export

Automation and export flow

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.

Need Help?

Contact us at

Discord: Discord Community

E-mail: service@browseract.com

Amazon Best Sellers Scraper Bot

History

FAQ About the template

Your next scraper starts here.