Amazon Reviews Scraper

What Is the Amazon Reviews Scraper?

The Amazon Review Scraper is a professional e-commerce review data extraction tool that allows you to collect structured customer review data from Amazon at scale. Simply enter a product URL to automatically gather a large volume of review data. With this tool, you can better understand customer feedback, uncover product strengths and weaknesses, and identify market trends.

• Bulk review extraction: Collect thousands of product reviews in one run
• Comprehensive review fields: Review content, ratings, reviewer information, and verified purchase status
• Multiple export formats: Download results in JSON or CSV
• Custom proxy locations: Choose the execution node by country or region

Common Use Cases for the Amazon Reviews Scraper

• Product improvement analysis — Analyze pain points and suggestions in customer reviews to guide product optimization.
• Brand reputation monitoring — Track review trends for brand products and identify negative feedback early.
• Competitor review analysis — Analyze competitor product reviews to understand their strengths, weaknesses, and market feedback.
• Consumer insight research — Extract customer preferences and behavior patterns from large-scale review data.
• Seller performance evaluation — Assess seller service quality and customer satisfaction through review data.
• Data-driven marketing — Use real customer reviews to improve product descriptions and marketing copy.

What Data Can You Extract from Amazon Reviews?

With this Amazon Reviews API, you can extract the following data:

How to Scrape Amazon Review Data

The Amazon Review Scraper is designed to be simple and efficient. No coding experience is required, and you can get started in just a few minutes.

1. Sign up and create your CoreClaw account with your email.
2. Open the Amazon Review Scraper.
3. Enter an Amazon product URL.
4. Configure optional filters such as rating range, number of reviews, and sort order.
5. Click the “Start” button and wait for the extraction to finish.
6. Download the data in JSON or CSV format.

➡️ Input

The input for the Amazon Review Scraper is an Amazon product detail page URL. For example:

• https://www.amazon.com/HISDERN-Checkered-Handkerchief-Classic-Necktie/dp/B0BRXPR726
• https://www.amazon.com/LAURA-GELLER-NEW-YORK-Retractable/dp/B086H4VCBJ

You can enter a single URL manually or paste multiple product URLs in bulk. It is recommended to first confirm the target product on Amazon, then copy the product URL into the tool to ensure you collect review data for the correct item.

⬅️ Output

Once the scraping task is complete, the collected Amazon review data will be organized into a structured dataset in the Output tab. Results are displayed in table format, including key fields such as rating, review content, and reviewer details. You can download the output as CSV or JSON.

1[
2  {
3    "product_name": "HISDERN Plaid Checkered Tie Handkerchief Woven Classic Formal Men's Necktie & Pocket Square Set",
4    "product_rating": "4.7",
5    "product_rating_object": {
6      "five_star": 9534,
7      "four_star": 1690,
8      "three_star": 603,
9      "two_star": 121,
10      "one_star": 121
11    },
12    "product_rating_max": 5,
13    "product_rating_count": "12068",
14    "brand": null,
15    "rating": "5.0",
16    "author_name": "Photo buff",
17    "asin": "B010FMOO8Q",
18    "review_header": "Great looking, classy and classic tie",
19    "review_id": "R3T9Y1HS60Y7KK",
20    "review_text": "Quality tie and very good looking.  I wore it to a wedding and received multiple compliments.  Paired well with the brighter blue suits that are in style this spring.",
21    "author_id": "AGPDKUKBD4RNA4WD3LEMF56ZCUGQ",
22    "author_link": "https://www.amazon.com/gp/profile/amzn1.account.AGPDKUKBD4RNA4WD3LEMF56ZCUGQ/ref=cm_cr_dp_d_gw_tr?ie=UTF8",
23    "badge": "Verified Purchase",
24    "review_posted_date": "May 7, 2025",
25    "review_country": "United States",
26    "review_images": [],
27    "helpful_count": "0",
28    "is_amazon_vine": false,
29    "is_verified": true,
30    "variant_asin": "B0BWRX5298",
31    "variant_name": "Color: D3-sage Green",
32    "videos": [],
33    "timestamp": "2025-05-26T08:44:05.451Z",
34    "input": {
35      "url": "https://www.amazon.com/HISDERN-Checkered-Handkerchief-Classic-Necktie/dp/B0BRXPR726"
36    },
37    "error": null,
38    "error_code": null,
39    "warning": null,
40    "warning_code": null,
41    "url": "https://www.amazon.com/HISDERN-Checkered-Handkerchief-Classic-Necktie/dp/B0BRXPR726"
42  }
43]

Explore Other Amazon Scrapers

If you need to extract other types of Amazon data, you can use the following tools. Each one is designed for a different data type and use case.

FAQ

How does the Amazon Review Scraper API work?

The scraping API simulates real user visits to Amazon product review pages. Using advanced browser automation and rotating residential proxies, it automatically browses review content, extracts visible review text and metadata, and converts the results into structured formats such as JSON or CSV.

Can I scrape all Amazon reviews?

You can scrape publicly available review data on Amazon. The tool extracts review information based on the product URL you provide.

Is scraping Amazon review data legal?

In many jurisdictions, scraping publicly available user reviews is generally considered lawful because the information has been published publicly. However, you are still responsible for complying with applicable data protection laws such as GDPR or CCPA, as well as Amazon’s terms of use. The data should not be used for spam marketing or other non-compliant purposes, and reviewer privacy should be respected.

Which Amazon marketplaces are supported?

The Amazon Review Scraper supports multiple Amazon marketplaces, including major sites such as Amazon US (amazon.com), Amazon UK (amazon.co.uk), Amazon Germany (amazon.de), and Amazon Japan (amazon.co.jp). You can access review data from different sites by selecting the appropriate proxy location.

Can I scrape Amazon reviews without writing code?

Yes. Our tool provides a user-friendly web interface. Simply enter a product URL and click “Start.” You can then download the results directly as Excel or CSV files without writing any code, making it ideal for product managers, market researchers, e-commerce operators, and other non-technical users.