Amazon Products & Reviews Deep Scraper

Brief

Search any Amazon category for bestselling products, then extract complete product data including full content, all customer reviews with detailed analytics, and seller information using deep scraping technology.

What does Amazon Products & Reviews Deep Scraper do?

This template automates Amazon product research by searching any category, then extracting complete product data including pricing, ratings, customer reviews, and competitive insights. Supports multiple extraction modes for flexible research depth. Extracts publicly visible data only, respecting Amazon's terms of service. Perfect for e-commerce sellers monitoring competitor pricing, brands conducting pre-launch research, dropshippers finding trending products, and researchers analyzing market trends. Exports data in CSV (for quick analysis) format.

When to use: Monitor competitor prices weekly, research products before launching, find trending products to resell, analyze market trends, conduct pre-launch competitive research, build seller intelligence database, or study customer feedback patterns.

What data can you scrape from Amazon ?

Product Core Information:

ASIN, Title, Brand, Category, Subcategory, Product Images Count, Variant Count

Product Pricing & Availability:

Current Price, List Price, Discount %, Prime Eligible, Fulfillment Method (FBA/FBM), Stock Status, Delivery Options, Number of Sellers, Other Seller Prices

Bestseller Rank & Metrics:

Bestseller Rank Position (#1-100+), Ranking Category, Trending Indicators, Deal Badges (if present), Amazon's Choice Badge, Best Seller Badge, New to Hot List Badge

Rating & Review Analytics:

Average Rating (0-5 stars), Total Review Count, Rating Distribution (% of 1/2/3/4/5 star reviews), Review Velocity (reviews per day), Verified Purchase Percentage

Customer Reviews:

Full review text content, Review author names, Review ratings, Review dates, Verified purchase badges, Helpful vote counts, Review sentiment .

Seller Information:

Seller name, Seller rating, Seller feedback count, Fulfillment type details, Return policy (if displayed)

Engagement Metrics:

View indicators (from rank), Clap/like count, Bookmark count, Share count

Export Formats:

CSV for quick metadata analysis,
JSON for complete content with review text preservation

How to use Amazon Products & Reviews Deep Scraper ?

Setup:

Import template to BrowserAct workspace

No login required - Amazon bestseller pages are public

Set your search parameters

Configuration:

Amazon Category: Choose category or use default (Toys & Games bestseller URL)

Max Products: Select 10-100 products to extract (default: 10)

Extraction Mode: Choose Fast (2-3 min, basic data), Standard (5-8 min, complete data), or Deep (10-15 min, all data + reviews)

Include Reviews: Enable/disable review text extraction

Running the Workflow:

Click "Run" to start the automation

Workflow will navigate to Amazon category and extract product data

Execution time: 5-30 minutes depending on product count and extraction depth

Monitor progress as products are processed

Reading the Results:

CSV File: Open in Excel/Google Sheets for quick overview of product data

Columns: ASIN, Title, Brand, Price, Rating, ReviewCount, Seller, Prime, Rank, Discount%

Filter by rating, price, or engagement metrics

Sort by bestseller rank or rating

Ready for pivot table analysis

JSON File: Review in text editor or import to applications for detailed analysis

Contains full product details and complete review text

Preserves review structure and metadata

Suitable for sentiment analysis and integration

Contains all variant and seller information

Why scrape Amazon ?

Competitive Price Monitoring: Track competitor prices weekly, identify pricing opportunities, stay competitive in your market

Pre-Launch Market Research: Analyze top competitors before launching new product, understand market positioning, identify feature gaps, study competitor pricing strategy

Product Sourcing: Find trending products to resell, identify high-demand low-competition items, evaluate profit potential, contact top sellers

Market Trend Analysis: Understand category dynamics, track top performers, identify emerging trends, analyze consumer preferences from reviews

Seller Intelligence: Monitor competitor reviews and ratings, track seller performance, identify market leaders, assess market saturation

Customer Feedback Analysis: Extract and analyze customer pain points, identify product improvement opportunities, study what customers love/dislike, gather authentic user feedback

Product Development: Understand customer needs from reviews, identify missing features, benchmark against competitors, make data-driven product decisions

Key Features

✅ Deep Data Extraction - Complete product details, not just titles and prices

✅ Customer Reviews - Full review text

✅ Multiple Extraction Modes - Fast (quick overview), Standard (balanced), Deep (comprehensive)

✅ Flexible Category Search - Works with any Amazon bestseller category, change URL anytime

✅ Adjustable Product Volume - Extract 10 to 100+ products per run

✅ Automated Pagination - Auto-clicks "Load More" to capture all available products

✅ Seller Intelligence - Capture seller information and competitive data

✅ Rating Distribution - Complete 1-5 star breakdown for quality assessment

✅ Deal & Badge Detection - Captures promotions, Amazon's Choice, Best Seller badges