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Amazon Reviews Scraper Lite for US logo

Amazon Reviews Scraper Lite for US

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.

Output

CSV file

Fields

18

Review pages

1-10

Waits

30s + 20s

Template

Free

What it does

Export Amazon customer reviews to CSV

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

Amazon review data extractor use cases

Marketplace sellers

Product research

Favorable to scraping

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

Favorable to scraping

Build repeatable snapshots for approved ASINs and track review count, rating movement, recent buyer language, and variant-specific feedback.

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

Configure the Amazon reviews scraper workflow

1

Download and import

Download the hosted JSON template, then import it into UScraper.

2

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.

3

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.

4

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.

5

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

What the Amazon reviews to CSV export includes

amazon-reviews-scraper-lite-for-us.csv
CSV - UTF-8 - Append

Column

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_priceProduct_titleProduct_linkASINReviewer_nameReview_titleReview_contentReview_rating
$23.99Sample Insulated Stainless Steel BottleB0EXAMPLE1Jordan MKeeps drinks cold all dayThe lid is easy to clean and the bottle did not leak in my bag.5.0
$18.49Sample Digital Kitchen ScaleB0EXAMPLE2Priya KAccurate, but display is smallMeasurements are consistent, though the backlight turns off faster than expected.4.0
Headers included - each configured Amazon product URL appends matching review rows
Field groupColumns
Product contextProduct_price, Product_title, Product_link, ASIN, Product_stars, Rating_count, Review_Count, Data_source
Review contentReviewer_name, Review_title, Review_content, Product_attributes, Review__date, Review_location, Review_rating
Review evidenceHelpful_count, Reviewer_avatar_link, Review_image_link

Frequently asked questions

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

Limits and maintenance notes

Guardrails for reliable Amazon review exports

Pacing

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.

Selectors

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.

Policy

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.

Get Started

Download and use this template instantly

$50Free

What's Included

  • Template JSON file ready to import
  • Pre-configured scraping nodes
  • Works with UScraper desktop app

Open-source templates

UScraper templates are open source. Improve this workflow or contribute a new one to help the community grow.

Contribute on GitHub

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Available on Windows 10+ and macOS 12+ · Need help? [email protected]