
Amazon Product Scraper
What Does BrowserAct Amazon Product Scraper Do?
Amazon Product Scraper is built for seamless integration with automation platforms like Make.com, making it ideal for ongoing price monitoring, competitor analysis, and product research tasks.
What Data Can I Extract from Amazon?
With BrowserAct's Amazon Product Scraper, you can pull a wide range of publicly available product data for analysis. Here's a breakdown:
- Product titles
- Product prices (current price, original price, discount)
- Product ratings (star ratings)
- Review counts
- Availability status (In Stock, Out of Stock)
Key Features of Amazon Product Scraper
Customizable URL Parameters: Enter different URLs as needed.
Real-Time Data Extraction: Captures current prices, stock status, and ratings for accurate.
Multi-Format Export: Export data in JSON, CSV, XML, or Markdown (MD) formats for easy integration.
Automated Navigation: Handles page loading, scrolling, and dynamic content automatically.
Price Tracking Ready: Perfect for monitoring price changes and competitor pricing strategies.
Quick Start Guide: How to Use Amazon Product Scraper in One Click
If you want to quickly start experiencing scraping Amazon, simply use our pre-built "Amazon Product Scraper" template for instant setup and start scraping Amazon effortlessly.
1.Register Account: Create a free BrowserAct account using your email.
2.Configure Parameters: Fill in necessary inputs like Target_URL (e.g., "https://www.amazon.com/dp/B0FM2W9HXH")
3.Start Execution: Click "Start" to run the workflow.
4.Download Data: Once complete, download the results file from Amazon scraping.
How to Build an Amazon Product Scraper Workflow
Before You Begin
This Amazon Product Scraper is designed to extract comprehensive data from one product page at a time. For bulk product monitoring and automated competitor alerts, combine this workflow with Make.com—allowing you to loop through multiple products and schedule recurring price checks effortlessly.
1.Start Node Parameter Settings
Target_URL: Enter your Amazon product URL
Example:"https://www.amazon.com/dp/B07PXGQC1Q"
2.Add Visit Page
Reference the Target_URL parameter by typing / in the input field.

3.Add Extract Data Node
Data Field Prompt:
Field Selector / PathType
Product Title
CSS/XPath selector for title
Text
Current Price
CSS/XPath selector for price
Text (keep $)
Original Price
CSS/XPath selector for original price
Text
Availability
CSS/XPath selector for availability
Text
Star Rating
CSS/XPath selector for rating
Text
Review Count
CSS/XPath selector for review count
Text
Product URL
Use the input URL
Text
Seller Name
CSS/XPath selector for seller
Text
Shipping Info
CSS/XPath selector for shipping
Text

Filtering Criteria:
- Seller Name
- Shipping Info
4.Add Output Data
Export in JSON formats. Perfect for API integration and data processing.

Who Can Use Amazon Product Scraper?
Amazon Product Scraper is designed for anyone needing quick, reliable access to Amazon product data. It's ideal for a variety of users, including:
E-commerce Sellers and Retailers: Monitor competitor pricing, track product trends, and optimize your own Amazon listings.
Market Researchers and Analysts: Extract product data for pricing studies, demand forecasting, and market trend analysis.
Data Scientists and Developers: Build datasets for machine learning, price prediction models, or custom e-commerce tools.
No matter your background, if you're looking to scrape Amazon without hassle, this tool is accessible and effective for both individuals and teams.
Make.com Integration
BrowserAct is now available as a native app on Make.com - simply add it to your scenarios without complex API setup.
API Integration with Make
Automated Amazon Competitor Tracking with BrowserAct
An automated Amazon product monitoring system that tracks prices, stock, and ratings, stores data in Google Sheets, and sends alerts when changes occur—all running on autopilot via Make.com.

Key Features:
Automated Data Collection - Scrapes Amazon product pages for prices, availability, ratings, and reviews
Google Sheets Integration - Automatically logs data with timestamps for historical tracking
Change Detection - Monitors for price drops, stock changes, or rating fluctuations
Smart Alerts - Sends notifications (email) when monitored metrics change
Scheduled Execution - Runs automatically at your chosen intervals (hourly/daily/weekly)
How to Monitor Multiple Amazon Competitors Automatically
Step 1:Google Sheets - Paste competitor product URLs in a Google Sheet
Step 2: BrowserAct - BrowserAct loops through and extracts data from each product
Step 3: JSON Parse - structure the extracted data into clean fields:
Parse fields: product_title, current_price, stock_status, rating, reviews
Step 4:Router - Split output to multiple channels
Route 1: Google Sheets - Add Row (append parsed data)
Route 2: Email - Change Detection Alerts
Compare current extraction with previous data and send email notifications only when changes are detected.
Need help? Contact us at
Discord: [Discord Community]
E-mail: service@browseract.com
