Amazon Product Scraper

Brief

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:

• Extract only information related to this product, ignoring other related/recommended product information.

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