Expert Tutorial

How to Use Amazon Reviews Scraper to Extract Data (2026 Guide)

A step-by-step guide on how to use Amazon Reviews Scraper to extract data and export it to Excel or CSV without coding.

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What is Amazon Reviews Scraper?

Extract product reviews, ratings, and customer feedback from Amazon. Essential for competitor analysis and sentiment tracking.

The Amazon Reviews Scraper collects the voice of the customer at scale: review titles, star ratings, review text, dates, verified-purchase flags, helpful-vote counts, reviewer profiles, and variant information for any ASIN. Brands mine this data for sentiment trends, recurring complaints, and feature requests their competitors are missing. Point it at a list of ASINs and it pages through every review automatically, handling Amazon's pagination and rate limits on Apify's cloud. Export to Excel or JSON and feed the results into sentiment dashboards, product-roadmap reviews, or MAP-violation monitoring across your catalog.

Key Features

  • Extract all reviews for any product
  • Get review ratings and dates
  • Capture verified purchase badges
  • Download reviewer information
  • Filter by star rating and date

How to Extract Data (Step by Step)

Extracting data using the Amazon Reviews Scraper is incredibly straightforward. It runs entirely in the cloud, meaning you don't need to install any desktop software.

  1. Sign up for free: Create a free ParseFlow account to access professional extraction tools.
  2. Set your parameters: Paste the target URLs into the Amazon Reviews Scraper configuration.
  3. Download your data: Click Start, wait a few minutes, and download your dataset as Excel or JSON.
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What does the exported data look like?

You can export the results into Excel, CSV, JSON, or HTML. Here is a sample of what the raw JSON data looks like:

[
  {
    "url": "https://example.com/data",
    "title": "Sample Extracted Record",
    "extracted_at": "2026-05-20T14:30:00Z"
  }
]