Amazon Review Exporter
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Extract detailed Amazon product reviews by pasting a product URL. Instantly collect reviewer info, ratings, and more in a structured table for easy analysis.
Export Amazon Reviews in One ClickLeverage Thunderbit's AI to gather Amazon product reviews instantly—just paste the URL and get structured data for analysis or export.
Install fromChrome Web Store
Export Amazon Reviews in One Click
Need to analyze customer sentiment or monitor product feedback? Thunderbit's Amazon Review Exporter lets you pull all review details—names, ratings, comments, images, and more—directly from any Amazon product page with a single click. No manual copy-paste or coding required; just enter the product URL and receive a clean, organized table ready for export.
This tool is perfect for sellers, marketers, and researchers who want to save time and gain insights from real customer experiences. Export your review data to Excel, Google Sheets, Airtable, or Notion for further analysis or reporting.
How to Export Amazon 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 ExtensionNavigate to the Amazon product page from which you want to extract customer reviews. Open the Thunderbit Chrome Extension and select the "Amazon Review Exporter" tool. Paste the product URL into the provided field.
STEP 3Click the Export Reviews ButtonClick the "Export Reviews" button. Thunderbit will extract all available customer reviews, including reviewer name, rating, review title, body, date, product size and color, review images, and helpful vote count. The results will be displayed in a structured table, which you can export to Excel, Google Sheets, Airtable, Notion, or download as a CSV or JSON file.
Learn how to extract Amazon product reviews in seconds
Collect Detailed Amazon Reviews Instantly
The Amazon Review Exporter lets you gather comprehensive customer feedback from any Amazon product page with just a single URL. Extract reviewer names, ratings, review titles, body text, dates, product variations, images, and helpful vote counts. This tool is ideal for ecommerce sellers, product managers, and researchers who need structured review data for analysis, competitive research, or customer sentiment tracking—without the hassle of manual copy-paste.
Analyze and Organize Review Data Effortlessly
By displaying all extracted reviews in a clear, structured table, the tool makes it easy to sort, filter, and analyze feedback. You can quickly identify trends, spot common issues, or highlight positive experiences. This organized approach saves hours of manual work and ensures you never miss important insights hidden in hundreds of reviews, making it perfect for anyone who needs to make data-driven decisions based on real customer feedback.
Export Reviews to Your Favorite Tools
Once reviews are extracted, you can export the data directly to Excel, Google Sheets, Airtable, or Notion. The export options allow you to integrate review data into your existing workflows, whether you’re building reports, tracking sentiment over time, or sharing findings with your team. The structured format ensures the data is ready for immediate use, reducing the need for additional formatting or manual adjustments.
Support Product Research and Marketing Strategies
Use the exported review data to inform product development, enhance marketing campaigns, or monitor competitor products. Brands, agencies, and analysts can leverage this information to identify customer pain points, discover new feature requests, or gather authentic testimonials for promotional use. The ability to access and analyze real customer voices helps you stay ahead in a competitive market and respond proactively to consumer needs.
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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.