You can collect and structure customer review data from Amazon and Etsy in minutes with , an AI web scraper that reads the page, suggests the right columns, and turns messy review pages into clean tables you can export to Excel, Google Sheets, Airtable, or Notion. Instead of copying and pasting reviews one by one, you click AI Suggest Columns and Scrape, and Thunderbit’s AI structures the data for you.
🤖 What is Review Scraper
Reviews Scraper is an AI Web Scraper that helps you extract structured data from websites like Amazon and Etsy, especially customer review pages where information is spread across ratings, dates, reviewer profiles, and long-form text. You simply open the page you want to scrape, run AI Suggest Columns, then click Scrape to generate a downloadable dataset.
Thunderbit is built for business workflows: you can scrape listings, handle pagination, and even use Subpage Scraping to visit detail pages and enrich your table automatically.
🧾 What can you scrape with Reviews Scraper
Customer reviews are one of the most valuable datasets in e-commerce. With Thunderbit’s , you can extract review listings, normalize fields (like dates and ratings), and export the results to your tools for analysis, reporting, and monitoring.
Scrape Amazon Customer reviews
Scrape review content from an Amazon product page, including star ratings, review titles, review text, dates, and reviewer details. This is useful for sentiment analysis, product research, and competitive benchmarking.
Steps:
- Download the and register an account.
- Go to the destination page, for example: .
- Click AI Suggest Columns to let AI recommend the best column names and data types.
- Click Scrape to run the scraper, then export to Excel, Google Sheets, Airtable, or Notion.
Column names
| Column | Description |
|---|---|
| ⭐ Rating | The star rating (often 1–5) associated with each review. |
| 🏷️ Review Title | The headline/title of the review when available. |
| 📝 Review Text | The full written review content for analysis and reporting. |
| 📅 Review Date | The date the review was posted (helpful for trend tracking). |
| 👤 Reviewer Name | The display name of the reviewer. |
| 🌐 Reviewer Profile URL | Link to the reviewer profile (when available). |
| ✅ Verified Purchase | Whether the review is marked as a verified purchase. |
| 🧩 Variant / Size / Color | Product variant details referenced in the review (if shown). |
| 👍 Helpful Votes | Count of “helpful” votes for the review (if shown). |
| 🔗 Product URL | The product page URL the review belongs to. |
Scrape Etsy Customer reviews
Scrape Etsy listing reviews to understand product quality feedback, shipping experience, and customer sentiment. This is especially useful for sellers, agencies, and e-commerce operators tracking competitor performance.
Steps:
- Download the and register an account.
- Go to the destination page, for example: .
- Click AI Suggest Columns to generate recommended fields for Etsy reviews.
- Click Scrape to extract the data and export it to your preferred format.
Column names
| Column | Description |
|---|---|
| ⭐ Rating | The star rating left by the buyer. |
| 📝 Review Text | The written review content (if provided). |
| 📅 Review Date | When the review was posted. |
| 👤 Reviewer Name | The buyer’s display name (as shown on Etsy). |
| 🛍️ Listing Title | The product/listing name associated with the review. |
| 🔗 Listing URL | Direct link to the Etsy listing. |
| 🖼️ Review Image | Any photo attached to the review (if available). |
| 🎁 Variation / Personalization | Options selected by the buyer (size, color, personalization). |
| 🏪 Shop Name | The Etsy shop name selling the item. |
| 🌍 Reviewer Location | Location shown for the reviewer (if available). |
Scrape eBay Customer reviews
You can also scrape eBay review pages and feedback-style listings to analyze seller reputation, product satisfaction, and recurring issues. If you have a specific eBay URL (product page, seller feedback page, or review listing), Thunderbit can generate the right columns using AI.
Steps:
- Download the and register an account.
- Go to the destination page on eBay (product reviews or seller feedback page).
- Click AI Suggest Columns to let Thunderbit detect the review layout and propose fields.
- Click Scrape to extract the data, then export it to Excel, Google Sheets, Airtable, or Notion.
Column names
| Column | Description |
|---|---|
| ⭐ Rating / Feedback Score | The rating or feedback value shown on the page. |
| 📝 Comment / Review Text | The written feedback or review content. |
| 📅 Date | The date the feedback/review was posted. |
| 👤 Reviewer / Buyer | The account name of the reviewer or buyer (if visible). |
| 🧾 Transaction Context | Item or transaction details tied to the feedback (if shown). |
| 🔗 Source URL | The eBay page URL you scraped for traceability. |
📈 Why Use Reviews Scraper Tool
Scraping customer reviews is one of the fastest ways to understand what customers like, what they complain about, and what drives returns or churn. Thunderbit helps you turn that unstructured feedback into a dataset you can actually use.
Common reasons teams scrape Amazon, Etsy, and eBay reviews:
- E-commerce operators: Track competitor sentiment, identify feature gaps, and prioritize product improvements.
- Brand and marketing teams: Pull real customer language for ad copy, landing pages, and positioning.
- Product teams: Cluster complaints (fit, sizing, durability, shipping) and quantify how often they appear.
- Agencies and analysts: Build recurring reports for multiple SKUs and marketplaces.
- Sales teams: Use review insights to anticipate objections and craft better outreach.
Thunderbit also supports:
- Pagination scraping (click pagination and infinite scroll)
- Subpage Scraping to enrich rows by visiting detail pages
- Cloud Scraping for speed on public pages, and Browser Scraping when you need to stay logged in
If you want more background on scraping workflows, these guides help:
🧩 How to Use Reviews Scraper Chrome Extension
- Install the Thunderbit Chrome Extension: Get it from the and create your account on .
- Navigate to an Amazon or Etsy review page: Open the exact page you want to scrape, such as an or an .
- Activate AI-Powered Scraper: Click AI Suggest Columns to generate column names and data types, then adjust fields if you want (for example, extract only 1–3 star reviews, or normalize dates).
If you want to go deeper on list-style pages and pagination, see:
💳 Pricing for Reviews Scraper
Thunderbit uses a simple credit system:
- 1 credit = 1 output row in your results table
- Exporting your data is free: download CSV/JSON or send to Excel, Google Sheets, Airtable, or Notion
You can start without paying:
- Free tier includes 6 pages per month
- Free trial includes 10 pages for free, which is ideal for testing Amazon and Etsy review scraping on real workflows
Paid plans are designed for ongoing monitoring and larger datasets. If you scrape reviews weekly (or across many SKUs), the yearly plan is typically more cost-effective because it includes a discount.
You can review plan details on .
| Tier | Pricing (Monthly) | Pricing (Yearly) | Yearly Total Price | Credits (Monthly) | Credits (Yearly) |
|---|---|---|---|---|---|
| Free | Free | Free | Free | 6 pages | N/A |
| Starter | $15 | $9 | $108 | 500 | 5,000 |
| Pro 1 | $38 | $16.5 | $199 | 3,000 | 30,000 |
| Pro 2 | $75 | $33.8 | $398 | 6,000 | 60,000 |
| Pro 3 | $125 | $68.4 | $796 | 10,000 | 120,000 |
| Pro 4 | $249 | $137.5 | $1,592 | 20,000 | 240,000 |
❓ FAQ
-
What is the AI Powered Reviews Scraper?
The AI Powered Thunderbit Scraper is an AI-driven web scraping workflow inside Thunderbit that reads the page you’re on and proposes a structured table for extraction. You click AI Suggest Columns, review the suggested fields, then click Scrape to collect the data. -
What is Thunderbit?
is an AI Web Scraper Chrome Extension built for business users who want structured data from websites without coding. It helps you scrape websites, PDFs, and images, then export the results to tools like Excel, Google Sheets, Airtable, and Notion. -
Can I scrape both review listings and product details together?
Yes. You can scrape the review listing page first, then use Subpage Scraping to visit related pages and enrich each row with additional fields. This is useful when key attributes are only visible on the product detail page. -
How does Thunderbit handle pagination on Amazon or Etsy reviews?
Thunderbit supports pagination scraping for both click-to-next pagination and infinite scroll patterns. That means you can collect more than what’s visible on the first page and build a complete dataset across many review pages. -
What data formats can I export to after scraping reviews?
You can export to CSV or JSON, and you can also send data directly to Excel, Google Sheets, Airtable, or Notion. Export is free, so you can test your workflow before deciding on a paid plan. -
Do I need to know CSS selectors or write code?
No. Thunderbit is designed so you don’t need selectors, XPath, or scripts. The AI reads the page structure and suggests fields automatically, and you can rename or adjust columns in plain English. -
When should I use Cloud Scraping vs. Browser Scraping?
Use Cloud Scraping when the pages are public and you want speed, since Thunderbit can scrape batches quickly. Use Browser Scraping when you need to stay logged in, access region-specific content, or scrape pages that require your browser session. -
How much does it cost to scrape Amazon or Etsy reviews?
Cost is based on credits, where 1 credit equals 1 output row. If you scrape 300 reviews into a table, that’s about 300 credits, and you can start with the free tier (6 pages/month) or the free trial (10 pages) to estimate your typical usage. -
Is it okay to scrape customer reviews from marketplaces?
You should always follow the website’s terms, applicable laws, and privacy requirements. Thunderbit is a tool for extracting data you have access to, and it’s your responsibility to use it in a compliant way for research, analysis, and business operations.
📚 Learn More
- Get started with the
- Explore tutorials and workflows on the
- Learn fundamentals:
- Scrape to spreadsheets:
- Amazon-specific guide:
- Compare tools:
- Video tutorials: