Automating Amazon Best Seller Tracking with No-Code AI

Ever wondered how some businesses always know the top-selling products on Amazon before everyone else? This powerful competitive intelligence can now be automated without writing a single line of code, thanks to no-code AI platforms like NADAN.

Why Track Amazon Best Sellers?

Monitoring top-selling products on Amazon provides critical market insights that can help businesses:

Identify emerging product trends
Understand consumer preferences
Make data-driven inventory decisions
Stay competitive in rapidly changing markets

Building Your Amazon Best Seller Tracker

The automation workflow uses several key components to gather and organize Amazon’s best-selling product data:

1. Setting Up the Data Source

The first step involves creating a connection to Amazon’s best sellers pages. This requires:

Selecting the product categories you want to monitor (electronics, home improvement, clothing, etc.)
Capturing the specific URL for those category pages
Setting up a scraping service through Bright Data

2. Data Extraction and Processing

Once connected to the data source, the workflow:

Uses HTTP requests to retrieve raw data from Amazon
Applies code to extract the relevant information from the page
Processes the data through an AI model that structures the information
Splits the processed data into individual product entries

3. Data Output and Delivery

The final steps involve making the data accessible and useful:

Sending the structured data to a Google Sheet that updates automatically
Recording product details including rank, title, star rating, number of reviews, price, and direct product links
Optionally creating summary reports that can be delivered via email or messaging platforms

Benefits of Automated Best Seller Tracking

This no-code solution offers several advantages:

Daily Updates: Get fresh data automatically without manual checking
Comprehensive Information: Track multiple product metrics in one place
Flexible Monitoring: Easily switch between different product categories
Time Savings: Eliminate hours of manual research and data entry
Competitive Intelligence: Identify market shifts before competitors

Implementation Considerations

When setting up your own Amazon best seller tracker, keep these points in mind:

Use schedule triggers for consistent daily updates
Test different AI models to optimize data extraction accuracy
Consider creating separate trackers for different product categories
Ensure your data scraping complies with Amazon’s terms of service
Structure your Google Sheet to make the data easy to analyze

With this automation in place, businesses can make more informed decisions about product development, inventory management, and market positioning—all without needing technical expertise or dedicating valuable time to manual research.