Amazon Rating Analyzer
Summarizes ratings, pros, cons, and themes from Amazon reviews. Turn long review pages into a structured report. Make buying or competitive research faster.
Paste an Amazon product URL. The system will fetch reviews and generate a rating analysis report.
Scrape hundreds of webpages with the Thunderbit Chrome Extension in one click, try the Thunderbit API for free, or use our Web Scraping Service to save engineering time.
Analyze Reviews Faster with ThunderbitUse Thunderbit to scrape Amazon pages and extract review data into structured tables in minutes. Automate collection across listings and export to Sheets, Airtable, or Notion.
Install fromChrome Web Store
Analyze Reviews Faster with Thunderbit
Collect review text, star ratings, dates, and product details from Amazon and other sites using Thunderbit’s AI-powered web scraper. Use AI Suggest Fields to map the data you need, scrape paginated lists, and enrich results with subpage scraping for deeper context.
Scrape from webpages plus subpages, PDFs, docs, and images, then summarize, categorize, and format the extracted information into clean columns. Export results to Google Sheets, Airtable, or Notion, or download as CSV or JSON for analysis and reporting.
How to Analyze Amazon Ratings and Reviews Using Thunderbit
STEP 1Download and InstallDownload and install the Thunderbit Chrome Extension from the Thunderbit Chrome Extension Download Page. Once installed, log in or create a free account to get started.
STEP 2Open ExtensionOpen the Amazon product page you want to evaluate in Chrome, then click the Thunderbit extension icon to open Thunderbit. In the tool list, select "Amazon Rating Analyzer". In the "Paste Amazon Product URL" tab, paste the product page link into the Product URL field (for example, https://www.amazon.com/dp/XXXXXXXXXX).
STEP 3Click the Analyze ratings & reviews ButtonClick the "Analyze ratings & reviews" button to run the analysis. Thunderbit will read the available rating and review content from the provided URL and generate a structured text report with clear sections, including Rating Overview, Sentiment Summary, Most Mentioned Pros and Cons, and Common Themes. After the report is generated, copy the results into your document or notes, or save them to your preferred workspace for sharing with your team.
Learn how to analyze Amazon product ratings and reviews from a URL
Summarize rating distribution
Amazon Rating Analyzer turns a single Amazon product URL into a clear rating overview you can scan fast. It pulls the overall star rating, total ratings or reviews when available, and the 5★ to 1★ breakdown so you can judge consensus at a glance. This is built for shoppers comparing options, sellers benchmarking competitors, and product teams who need a quick read on market perception.
Extract pros, cons, and sentiment themes
Instead of reading long review pages, the tool analyzes review text to produce a sentiment summary with what customers like and dislike, plus the most mentioned pros and cons as short, reusable phrases. It also groups recurring topics such as quality, durability, ease of use, value, packaging, and support. If a metric is not accessible from the page, the output clearly marks it as Not available.
Compare products for purchase research
Use the analyzer to evaluate multiple Amazon listings by pasting each product URL and collecting structured summaries for side-by-side comparison. Shoppers can spot common complaints, verify whether praise is consistent, and understand tradeoffs across models or brands. The skimmable format helps you decide faster than manual review reading, especially for products with hundreds or thousands of ratings.
Monitor competitor feedback for product decisions
Sellers and ecommerce teams can use the output to study competitor strengths and weaknesses, then translate findings into listing improvements, positioning, and product roadmap ideas. The most mentioned pros can inform benefit-led copy, while repeated cons can highlight gaps to avoid or features to build. Because results are structured, teams can paste summaries into docs, tickets, or research notes for collaboration.
Discover More Free Tools
Amazon Products Scraper
Extract product info from Amazon by pasting product URLs. Get titles, prices, ratings, and more in a structured table for quick export and review.
Amazon Price Scraper
Scrape Amazon prices, seller names, ratings, ASINs, availability, and product URLs in 2 clicks — then export to Excel, Google Sheets, Airtable, or Notion. No coding required.
Amazon Review Exporter
Extract detailed Amazon product reviews by pasting a product URL. Instantly collect reviewer info, ratings, and more in a structured table for easy analysis.
Amazon product research tool
Find high-potential Amazon products using keyword, category, or ASIN research. Compare demand, competition, pricing, and estimated sales to validate ideas. Make faster, data-driven sourcing decisions.
Free Amazon Sales Estimator
Estimate an Amazon product’s monthly and daily unit sales using its category and Best Seller Rank. Get quick benchmarks for demand research and listing decisions.
Free Online FBA Fee Calculator
Estimate Amazon FBA costs by entering price, cost, size, weight, and category. Get referral, fulfillment, and storage fees plus profit and margin to price products with confidence.
Amazon Listing Quality Checker
Evaluates Amazon product listings for completeness and SEO readiness. Flags missing or weak titles, bullets, images, and keywords. Get a clear score plus actionable fixes to improve visibility.
Product Details Scraper
Scrape product details from eCommerce sites like Amazon, Walmart, Shein, Lazada, and Zalando. Collect name, brand, price, images, ratings, and reviews in structured format for quick analysis or export.
What users say about Thunderbit
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
Taryn W.Growth Strategist@Thunderbit changed how I run competitor research. I click 'AI Suggest Fields,' and it builds a clean table across paginated results—no coding, no CSS. Huge time-saver when analyzing product data from long-tail marketplaces.
Miles T.Sales Development ConsultantI use Thunderbit to grab emails and phone numbers from directories. It extracts clean contact info in one click, and exporting to Sheets or Notion takes seconds. No extra setup, no coding—just usable data ready to work with.
Rhea C.E-commerce AnalystThunderbit helps me monitor SKU data across multiple pages. I scrape the listings, then use Subpage Scraping to pull full product specs, pricing, reviews, and stock. The AI organizes everything into columns I define.
Cassian B.Real Estate AdvisorThunderbit's Scheduled Scraper makes real estate tracking easier. I describe the interval in plain English, and it automatically pulls updated listings, prices, and links without touching the setup again. Simple and very practical.
Dorian B.Content & SEO SpecialistI use Thunderbit's Field AI Prompts to clean and tag scraped blog content. It extracts titles, authors, and even suggests categories. Works great across dynamic sites and subpages—perfect for building structured SEO datasets.
Lina K.Marketplace Operations LeadWe track SKUs from niche stores using Thunderbit. Cloud Scraping handles 50 pages at a time, and for login-required sites, we switch to browser mode. It’s fast, flexible, and doesn’t need ongoing maintenance or manual edits.
Jorge F.Inbound Sales ManagerThunderbit’s AI Autofill is a lifesaver. After scraping contact info, I use it to fill lead forms directly in my browser. I just select the tab, and it fills everything using the scraped row. No manual input needed.
Alina D.Freelance ResearcherI rely on Thunderbit for extracting data from PDFs, image-based sites, and infinite scroll pages. It handles messy formats with AI and delivers ready-to-export tables I can send to Google Sheets or Airtable in seconds.
