Gain Deep Insights from Amazon Customer Feedback

With BrowserAct, you can go beyond the simple star rating to gain a comprehensive understanding of your market. Our tool automatically extracts the full spectrum of Amazon review data—from verified purchase status and reviewer profiles to product variations and helpful votes. This allows you to transform raw information into an actionable strategy using powerful filtering options, ultimately driving your competitive analysis, product development, and market research with precision.

Who Can Benefit From This Tool

This solution serves a wide range of professionals who rely on customer insights to drive business decisions. Our Amazon scraper provides the critical data intelligence needed to stay ahead, whether you’re a product manager seeking to understand user needs, a marketing analyst tracking brand perception, or an e-commerce seller optimizing product listings.

Key Features

• Comprehensive Data Capture: Extracts review text, ratings, dates, verified purchase status, and reviewer information

• Advanced Filtering System: Enables precise data segmentation by rating, date range, and review attributes

• Multi-Format Export: Supports JSON, CSV, XML, and Markdown formats for various analysis needs

• Batch Processing: Allows simultaneous extraction from multiple products and ASINs

• Sentiment Analysis Ready: Structured output perfect for AI-powered sentiment analysis pipelines

Use Cases:

1. Market Research Analysts – Identify sentiment trends and purchasing patterns across product categories to forecast market shifts and evolving consumer preferences.

2. Brand Reputation Managers – Monitor sudden increases in negative reviews and potential review manipulation to protect brand reputation proactively.

3. E-commerce Sellers – Track product reviews to quickly identify quality issues, optimize listings, and improve customer satisfaction.

4. Dropshipping Entrepreneurs – Assess product quality and customer satisfaction by analyzing review patterns before adding new items.

5. Product Development Teams – Extract customer pain points and feature requests from competitor reviews to guide product roadmap decisions.

6. Consumer Goods Manufacturers – Gather voice-of-customer data at scale to refine packaging, pricing, and positioning strategies.

Standard Operating Procedure

Step 1: Access the Template

Click the provided link to open the “Amazon Review Scraper” template on the Make.com platform and create a new scenario from it.

Step 2: Set Parameters & Login

• ASIN: Enter the product’s ASIN code (e.g., B07TS6R1SF)

• Total_Reviews_To_Collect: Specify the number of reviews to extract (e.g., 30)

• Amazon_Link: Pre-configured; no change needed

• Login: Add your Amazon account credentials to access all reviews

Step 3: Start the Process

Click the “Start” node to begin automatic data collection.

Step 4: View & Export Results

Once completed, export your data in any of the following formats:

• JSON: Ideal for APIs and machine learning

• CSV: Perfect for spreadsheets and CRM systems

• XML: Fits enterprise information systems

• Markdown: Great for readable reports and presentations

Seamless Make.com Integration

BrowserAct is now a native application on Make.com, enabling you to effortlessly integrate it into your automation scenarios—no complex API setup required.

API-Enhanced Template: Amazon Review & Competitor Sentiment Analyzer
This ready-to-use template automates the entire competitive analysis workflow. It leverages BrowserAct to reliably extract Amazon customer reviews and integrates OpenAI for advanced sentiment analysis, delivering clear insights into key themes, strengths, weaknesses, and actionable recommendations.

How It Works:

Enter your product and competitor ASINs. The scenario automatically triggers BrowserAct to collect reviews, processes them via OpenAI for sentiment analysis, and distributes the results to Google Sheets, Slack, and email in PDF format—all without manual intervention.

Transform Your Strategy with Automated Review Management

Ready to automate your Amazon product review scraping? Click the template to start building your automated workflow in minutes. This solution is designed for seamless integration into your daily operations, enabling you to focus on strategic decisions rather than manual data collection.

Ideal use cases include:

• Product Managers receiving a weekly digest of reviews with extracted feature requests and bug reports

• Quality Assurance Teams getting real-time alerts when negative reviews mention product defects or safety concerns

• Pricing Strategists tracking correlations between price changes and shifts in review sentiment

• Customer Success Teams automatically creating support tickets from negative reviews for proactive customer outreach

Whether you need to monitor brand reputation, track competitor performance, or understand customer sentiment at scale, this template provides a reliable and scalable foundation.

Conclusion

This Amazon review scraper template offers a powerful starting point for automating market and customer insight collection. Should you require more specialized scraping capabilities—such as extracting product rankings, monitoring inventory status, or gathering search result data. With a versatile Amazon scraper, BrowserAct reveals its full potential by adapting to a wide range of other data extraction workflows, perfectly fitting your unique business requirements.