Marketplace sellers
Product research
Compare complaints, praised features, review-image patterns, and helpful votes before improving a listing, sourcing a variation, or prioritizing product fixes.
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This Amazon reviews scraper turns Amazon.com product detail URLs into a structured CSV for review analysis, marketplace research, and voice-of-customer work. Import the workflow into the UScraper local desktop app, replace the sample product URLs, and export reviewer names, ratings, review titles, review text, dates, helpful counts, images, ASINs, and product metadata without writing code.
CSV file
18
1-10
30s + 20s
Free
What it does
Amazon product reviews are useful when you need to study rating patterns, product complaints, feature requests, buyer language, and image-backed feedback. This template works from product detail URLs instead of search keywords, so each run starts with products you already want to inspect. It extracts product context such as title, price, product link, ASIN, average stars, and rating count alongside each review row.
The workflow is designed as a best-effort amazon reviews extractor, not a guaranteed API replacement. If Amazon serves CAPTCHA, blocks review pages, or hides review rows in the current session, the template exports a diagnostic fallback row rather than failing silently. That makes empty or blocked runs easier to audit before you use the CSV in reporting.
Review text with context
Capture review title, body, rating, date, location, helpful vote count, reviewer name, avatar link, review image links, and product attributes.
Multiple collection paths
The graph reads visible snippets, direct /product-reviews pages, and Amazon's same-origin review-render response when available.
Spreadsheet-ready output
Export rows to a local CSV for Excel, Sheets, BI tools, text clustering, sentiment review, or manual quality checks.
Local desktop execution
The stock template saves to your configured folder and does not route review data through a hosted scraping actor.
Who this is for
Marketplace sellers
Product research
Compare complaints, praised features, review-image patterns, and helpful votes before improving a listing, sourcing a variation, or prioritizing product fixes.
Ecommerce analysts
Review monitoring
Build repeatable snapshots for approved ASINs and track review count, rating movement, recent buyer language, and variant-specific feedback.
Agencies
Competitive research
Combine review exports with the Amazon Product Scraper, Amazon Best Sellers Scraper, and Best Buy Reviews Scraper when a marketplace report needs both listing and review evidence.
Browse the UScraper template library for sibling marketplace workflows, or install the local app from UScraper download before importing this hosted JSON template.
How to use
Add Amazon product URLs
Replace the sample Amazon.com product detail URLs in the Navigate block with the product pages you are allowed to review. The workflow detects the ASIN from /dp/, /product-reviews/, or common URL parameters.
Confirm waits and save path
Keep the page-load, short sleep, JavaScript completion timeout, and review-row wait in place. Then set the Structured Export folder for amazon-reviews-scraper-lite-for-us.csv.
Run the collection loop
UScraper navigates, waits, runs the review collector, pauses for late rows, confirms hidden export rows exist, writes structured columns, and advances to the next input URL.
Open and audit the CSV
Spot-check ASINs, review dates, blank values, fallback rows, and duplicate-looking reviews before using the export in dashboards or downstream analysis.
Output preview
amazon-reviews-scraper-lite-for-us.csvColumn
Product_price
Visible product price from the detail or review page when Amazon renders it.
Column
Product_title
Product title associated with the ASIN or current page.
Column
Product_link
Canonical Amazon product link built from the detected ASIN when possible.
Column
ASIN
Detected product ASIN from the URL or page context.
Column
Reviewer_name
Reviewer display name from the review row.
Column
Review_title
Review headline cleaned from star-rating labels and extra text.
Column
Review_content
Full visible review body or the diagnostic fallback message.
Column
Review_rating
Star rating parsed from the review card.
Sample rows
2 of many
| Product_price | Product_title | Product_link | ASIN | Reviewer_name | Review_title | Review_content | Review_rating |
|---|---|---|---|---|---|---|---|
| $23.99 | Sample Insulated Stainless Steel Bottle | B0EXAMPLE1 | Jordan M | Keeps drinks cold all day | The lid is easy to clean and the bottle did not leak in my bag. | 5.0 | |
| $18.49 | Sample Digital Kitchen Scale | B0EXAMPLE2 | Priya K | Accurate, but display is small | Measurements are consistent, though the backlight turns off faster than expected. | 4.0 |
| Field group | Columns |
|---|---|
| Product context | Product_price, Product_title, Product_link, ASIN, Product_stars, Rating_count, Review_Count, Data_source |
| Review content | Reviewer_name, Review_title, Review_content, Product_attributes, Review__date, Review_location, Review_rating |
| Review evidence | Helpful_count, Reviewer_avatar_link, Review_image_link |
Amazon reviews may be publicly visible, but automated collection can still be limited by Amazon terms, robots directives, marketplace policies, copyright, privacy law, and local regulations. Use modest runs, do not bypass CAPTCHA or access controls, and get legal review before commercial reuse.
Before you scale
Guardrails for reliable Amazon review exports
Amazon may throttle or challenge automation
Use modest batches, avoid parallel runs against the same product set, and increase waits when review pages load slowly or product metadata appears incomplete.
Amazon review layouts change often
Missing titles, blank review text, or fallback rows usually mean Amazon changed markup, rendered a regional page, blocked the session, or withheld review rows.
Review rules before commercial reuse
Treat the CSV as a research export. Review Amazon policies, robots directives, API options, and applicable law before redistributing, reselling, or enriching scraped review data.
Download the template, install the local desktop app from UScraper download, and use this workflow when you need to export Amazon reviews into a structured CSV.
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