Amazon Best Sellers Scraper

Detail

What Does BrowserAct Amazon Best Sellers Scraper Do?

BrowserAct Amazon Best Sellers Scraper is a powerful, no-code tool that automates scraping Amazon best sellers for product titles, prices, ratings, and more to easily find top-selling items, allowing you to scrape Amazon product data effortlessly without manual effort. It solves the exhaustion of manually compiling data from countless pages, enabling sellers, marketers, researchers, and e-commerce analysts to uncover best products to sell on Amazon, monitor prices, analyze reviews, and gain a competitive edge through automated Amazon data extraction.

Key Features of Amazon Best Sellers Scraper

Customizable Parameters: Adjust Department to target specific categories (e.g., "Clothing, Shoes & Jewelry" or "Electronics") for focused scraping.
Streamline Tracking: Streamline tracking of top 100 best sellers in different categories, prices, and ratings without manual work, saving hours of effort.
Trend Discovery: Extracts structured data like rankings and review counts from various categories to uncover best selling products on Amazon and support strategy optimization.
Customizable Extraction: Supports precise pricing and review extraction, functioning as an Amazon price scraper or Amazon review scraper with user-defined data fields.
No-Code & Free to Use: Runs directly in your browser with a simple setup; no installation or coding required.
Reliable Data Collection: Avoids blocks with a built-in IP management system, ensuring complete and uninterrupted scraping.
Flexible Data Export: Download collected data in standard, analysis-ready formats like JSON, CSV, Excel, and XML.

What Data Can You Scrape from Amazon Best Sellers?

With BrowserAct's Amazon Best Sellers Scraper, you can pull a wide range of publicly available data for analysis. Here's a breakdown:

Amazon Best Sellers Products Data

Rank: Captures the numerical ranking after stripping the leading "#".
Product Title: Records the product title for identification.
Price: Extracts the numerical price in a clean format like 129.99.
Star Rating: Formats the average rating as X.X/5.0 for quality assessment.
Review Count: Counts the total reviews as numbers only.
Product URL: Provides the full link to the product page.

If you want more output data (e.g., seller info or images), you can customize the workflow to include them.

How to Use the Amazon Best Sellers Scraper in One Click

If you want to quickly start experiencing scraping Amazon Best Sellers, simply use our pre-built "Amazon Best Sellers Scraper" template for instant setup and start scraping Amazon effortlessly.

Register Account: Create a free BrowserAct account using your email.
Configure Input Parameters: Fill in necessary inputs like Target_URL (e.g., "https://www.amazon.com/bestsellers") and Department (e.g., "Clothing, Shoes & Jewelry") – or use defaults to learn how to scrape Amazon quickly.
Start Execution: Click "Start" to run the workflow.
Download Data: Once complete, download the results file from Amazon scraping.

browseract amazon scraper

Why Scrape Amazon Best Sellers?

Scraping Amazon Best Sellers allows you to systematically collect and analyze public data from its top-selling products. This process is valuable for gathering specific information that can be used for business, research, and analysis. Here are the primary reasons to scrape Amazon Best Sellers:

Gather Market Insights: Extract product data to understand top-selling items, prices, and ratings in different categories, providing direct insights for sellers and analysts.
Conduct Product Research: Collect data from best sellers lists to identify profitable opportunities, trending products, and strategies on how to find best selling products on Amazon.
Track Prices and Trends: Monitor pricing, reviews, and rankings in real-time to detect emerging trends and optimize e-commerce strategies.
Monitor Competitors: Systematically find and log data on competitors' products to gain a competitive edge and analyze market patterns.
Build Datasets for Analysis: Create structured datasets from Amazon's public product data for use in machine learning, academic research, or detailed statistical analysis.

Scraping automates the data collection process, enabling you to efficiently gather large volumes of information from specific categories or departments for structured analysis. You can even combine it with an eBay Scraper to monitor trending products across marketplaces in parallel.

How to Build Your Amazon Best Sellers Scraper Workflow: Step-by-Step

Step 1: Parameter Setup

Target_URL: "https://www.amazon.com/bestsellers".
Department: Amazon Best Sellers category (default: "Clothing, Shoes & Jewelry"; you can modify to others like "Electronics").

Use default values for quick runs, such as keeping Department as "Clothing, Shoes & Jewelry" for testing without manual changes.

amazon scraper

Step 2: Search & Navigation

Visit Page Prompt: Visit /Target_URL
Click Element Prompt: In the "Any Department" list on the left, click the button containing the word “ /Department ".

amazon product scraper

Step 3: Loop and Collect Data

Outer Loop-1 Action: Exit after looping twice (set Maximum number of cycles to 2). This outer loop handles pagination across two pages, as the Amazon Best Sellers top 100 are typically spread over two pages.

scrape amazon product data

- Inner Loop-2 Action: Exit the loop after scrolling to the bottom of the page. This inner loop triggers the waterfall loading of data by scrolling down to reveal more products.
- - Inside Inner Loop - Scroll Prompt: Scroll down the page.
- Extract Data: Extract from first 50 products: Rank, Title, Price, Star Rating, Review Count, Product URL.
- Pagination: Select next page

how to find best selling products on amazon

Step 4: Data Export

Output Setup: Add "Finish: Output Data" action, select CSV format, and enable "Output as a file" for direct download.

scrape best products to sell on amazon

Publish and Run: Click "Publish" to save, then go to "Run" section, adjust parameters if needed, and click "Start".
Download Results: Once complete, download the CSV file with your scraped Amazon data.

Who Can Use Amazon Best Sellers Scraper?

Amazon Best Sellers Scraper is designed for anyone needing quick, reliable access to Amazon data. It's ideal for a variety of users, including:

Sellers: Perfect for discovering top 100 best sellers in different categories, monitoring prices, and spotting profitable opportunities.
Marketers: Ideal for tracking trending items, reviews, and data as an Amazon product scraper to refine strategies across categories.
Researchers: Great for analyzing sales patterns, ratings, and insights in various Amazon categories.
E-commerce Analysts: Useful for bulk extraction to support competitive intelligence and trend forecasting in different departments.
Small Businesses and Startups: Conduct affordable competitive research without needing advanced technical skills.
Academics and Students: Research market trends, pricing, and consumer behavior on topics like e-commerce and sales data.
Hobbyists and Everyday Users: Explore best-selling products for personal interest, track prices in favorite categories, or find opportunities for reselling.

No matter your background, if you're looking to scrape Amazon without hassle, this tool is accessible and effective for both individuals and teams.

Skill Requirements: No coding needed – just basic knowledge of web browsing to set up and run.

Is It Legal to Scrape Amazon Best Sellers?

Yes, scraping publicly available data from Amazon Best Sellers is generally considered legal, provided it is done ethically and respects the platform's rules. This means only accessing information that is visible to any public visitor (like product ranks, titles, prices, and ratings), never attempting to access private data, and adhering to Amazon's Terms of Service to avoid overwhelming their servers with excessive requests. The way you use the data is also critical; it should not be used to violate copyright or privacy laws like GDPR or CCPA. Our Amazon Best Sellers Scraper is designed to operate within these responsible guidelines, focusing on ethical data extraction. Please note that this information does not constitute legal advice, and we recommend consulting with a legal professional to ensure full compliance for your specific project.

Make.com Integration

BrowserAct's Amazon Best Sellers Scraper is now available as a native app on Make.com—add it to your scenarios without API hassle.

Automation-Ready: Integrate with Make, n8n, or others for scheduled monitoring.
Rate Limit Handling: Built-in delays to comply with Amazon policies.
Multi-Category Tracking: Run instances for different departments or categories.

💡 Use Case Tip: Ideal for product research, price monitoring, review analysis, and gaining competitive insights with structured data from best sellers.

🚀 Quick Start with Make.com: Search for "BrowserAct" in Make.com's app directory and add it directly—no complex setup.