Amazon Reviews Scraper — Reviews, Ratings & Product Data

Extract Amazon reviews, ratings, and product data from 14 marketplaces — ES, US, DE, FR, UK, IT, BR, MX, CA, AU, JP, NL, PL, and SE. Up to 2,000 reviews per product. No API key needed.

🚀 Try it free — your first $5 of usage is on Apify. No credit card required.

📌 What is Amazon Reviews Scraper?

Amazon Reviews Scraper is an unofficial Amazon data extraction tool that collects customer reviews and product information at scale. Unlike the official Amazon Product Advertising API — which limits review access and requires an affiliate account — this scraper works with any product on any supported marketplace, with no registration needed beyond your Amazon session cookies.

Use Amazon Reviews Scraper to:

• 🔍 Monitor customer sentiment — track how reviews evolve for your products or your competitors' over time
• 📊 Research new markets — analyse reviews before entering a new country or launching a new category
• 🏆 Identify competitor weaknesses — mine low-rated reviews at scale to find product gaps
• 📈 Track rating drops — catch early signals of supply issues, quality problems, or negative PR
• 🤖 Build AI training datasets — collect structured review data for sentiment analysis, NLP, or voice-of-customer research
• 🔄 Automate recurring monitoring — schedule runs, set up webhooks, and keep your datasets fresh

📋 What data does Amazon Reviews Scraper extract?

Amazon Reviews Scraper returns two types of structured records depending on the mode you choose:

Review records:

Field	Type	Description
review_id	string	Unique identifier for the review
author	string	Reviewer display name (GDPR-redacted)
country	string	Country where the review was posted
rating	number	Star rating (1 to 5)
date	string	Date the review was published
title	string	Review headline
body	string	Full review text
verified_purchase	boolean	Whether Amazon confirmed the purchase
helpful_votes	number	Number of people who found the review helpful
variant	string	Product variant purchased (colour, size, etc.)

Product records:

Field	Type	Description
title	string	Product name
brand	string	Brand name
price	string	Current price including currency
rating	number	Average star rating
review_count	number	Total number of ratings
availability	string	Stock status
category	string	Product category breadcrumb
bullets	array	Key feature bullet points
description	string	Full product description
specs	object	Technical attributes (dimensions, materials, etc.)
main_image	string	Link to the main product photo
variants	array	Available colour or size options
url	string	Direct link to the product on Amazon

💡 Reviewer names and private seller contact details are returned as GDPR Protection. We redact personal identifiers that do not add analytical value. Why we do this →

🚀 How to use Amazon Reviews Scraper

Extracting Amazon reviews takes under five minutes:

1. Create a free Apify account at apify.com — your first $5 is free
2. Open Amazon Reviews Scraper in Apify Console or click Try for free on this page
3. Add your products — paste ASINs (e.g. B09G9FPHY6) or full Amazon product URLs
4. Select a mode — reviews only, product data only, or both together
5. Set your cookies (one-time setup, see below) — required to access reviews
6. Click Start and wait for results
7. Download your data in JSON, CSV, Excel, or XML — or access via API

⚙️ Input parameters

Parameter	Type	Required	Default	Description
asins	array	✅	—	List of ASINs or full Amazon product URLs to scrape
mode	string	❌	"reviews"	What to extract: reviews, products, or both
marketplace	string	❌	"amazon.es"	Default Amazon domain when only ASINs are provided
max_reviews	integer	❌	10	Maximum reviews to extract per product (10–2,000)
delay_between_clicks	number	❌	1.5	Seconds between pagination clicks. Increase if you get CAPTCHAs
delay_page_load	number	❌	3.0	Seconds to wait after page loads before extracting
use_proxy	boolean	❌	false	Enable Apify residential proxies if getting blocked
cookies	array	❌	—	Amazon session cookies as JSON array (see setup below)

Example input:

{
  "asins": ["B09G9FPHY6", "B07XLML2YS"],
  "mode": "both",
  "marketplace": "amazon.es",
  "max_reviews": 100
}

📦 Output example

Each review is a structured JSON object. Here's a sample from a real run:

{
  "item_type": "review",
  "asin": "B09G9FPHY6",
  "marketplace": "amazon.es",
  "review_id": "R3A1B2C3D4E5F6",
  "author": "GDPR Protection",
  "country": "Spain",
  "rating": 5,
  "date": "2026-08-15",
  "title": "Excellent quality, exactly as described",
  "body": "I bought this for my home office and it exceeded my expectations. Build quality is solid and setup took under 10 minutes.",
  "verified_purchase": true,
  "helpful_votes": 12,
  "variant": "Color: Black"
}

Download results in JSON, CSV, Excel, XML, or HTML from the Output tab, or pull them programmatically using the Apify API.

See real records before you run it — a public sample dataset is open, no account needed: 100 real records →

🍪 Cookie setup (one-time, 2 minutes)

Amazon requires an active login session to access reviews. You only need to do this once — after the first successful run, your session is saved automatically for all future runs.

1. Log into your Amazon account in Chrome on the marketplace you want to use (e.g. amazon.es)
2. Install the free Cookie-Editor browser extension
3. While on the Amazon page, open Cookie-Editor and click Export
4. Copy the exported cookies and paste them into the Cookies field in the actor input
5. Run the actor — your session is now saved and you won't need to repeat this

If reviews stop loading after a few weeks, your session has expired. Simply export fresh cookies and paste them in again.

💰 How much does it cost to use Amazon Reviews Scraper?

Amazon Reviews Scraper runs on Apify's standard Compute Unit (CU) pricing. A typical run extracting ~100 reviews per product consumes approximately 0.02–0.05 CUs depending on the mode and proxy usage.

Plan	Monthly Credit	Estimated capacity
Free	$5 (one-time)	~2,000+ reviews
Starter ($49/mo)	$49	~50,000+ reviews/month
Scale ($149/mo)	$149	~150,000+ reviews/month

💡 Tip: Run a small test with 1–2 ASINs and 10 reviews first to estimate your costs before scaling up. Monitor spending in real time in the Apify Console.

Is scraping Amazon reviews free? Your first $5 of usage is covered by Apify's free trial credit — enough to extract thousands of reviews at no cost.

🔗 Related Rastriq Actors

Explore the full Rastriq intelligence portfolio on Apify Store:

Actor	Description
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TikTok Ad Library Scraper	Ad creatives and performance data from TikTok
Google Ads Transparency Scraper	Google Ads campaigns from the Transparency Center

❓ Frequently Asked Questions

Is scraping Amazon reviews legal?

Amazon Reviews Scraper only accesses publicly available data on Amazon — information visible to any visitor with a logged-in session. We respect reasonable rate limiting to avoid overloading their servers. As with any data collection, you are responsible for ensuring your use case complies with applicable laws (GDPR, CCPA) and Amazon's Terms of Service. For guidance, see Apify's blog on the legality of web scraping.

Does Amazon Reviews Scraper require an API key?

No API key is needed. You do need Amazon session cookies for review access — see the Cookie setup section above. Product data does not require cookies.

How many reviews can I get per product?

Amazon Reviews Scraper can extract up to 2,000 reviews per product per run. Each batch of 10 reviews requires one pagination click.

What proxy configuration should I use?

For most cases, no proxy is needed. If you encounter CAPTCHAs or blocks, enable the Use residential proxy option in the input. The actor handles proxy rotation automatically via Apify's residential proxy pool.

How do I integrate Amazon Reviews Scraper with my workflow?

Amazon Reviews Scraper integrates natively with Make (Integromat), Zapier, Google Sheets, webhooks, and the Apify API — call from Python, Node.js, or any language (see the API tab for ready-to-use code snippets).

I found a bug or my run failed. Where do I report it?

Open an issue in the Issues tab on this page. Include your input configuration and the run ID so we can investigate quickly.

About the data

This actor is part of Rastriq's e-commerce coverage. See the normalised output fields, the full source list and the use cases behind it: E-commerce & Retail Intelligence.