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. You choose the maximum reviews per product; every run reports how many were actually extracted and why it stopped. No API key needed.

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

🛒 Only need prices, stock or Best Sellers Rank? Use Amazon Product Scraper & Price Tracker — one request per product, 21 marketplaces, local postcode prices and price-drop alerts between runs, no cookies needed.

📌 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
country	string	Country where the review was posted
rating	number	Star rating (1 to 5)
date_raw	string	Review date text as shown by Amazon
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.)
has_media	boolean	Whether the review includes images
strategy / source	string	Which extraction route produced the review

Extraction summary records (item_type: extraction_summary, one per ASIN — also when nothing was extracted):

Field	Type	Description
requested_reviews	number	The max_reviews you asked for (a ceiling, not a promise)
extracted_unique_reviews	number	Unique reviews published that match your filters
target_reached	boolean	Whether requested_reviews was reached
extraction_complete	boolean/null	true only when the filtered scope was observed to be exhausted; null when unknown
functional_status	string	ok, partial, empty, failed_auth, failed_blocked or failed
stop_reason	string	e.g. target_reached, exhausted, auth_required, pagination_stalled, budget_requests_exhausted
strategies_used	array	Per-route status, requests, pages and new unique reviews
filter_compliance	object	For each active filter: applied by Amazon (server) or verified locally (local)
sort_guaranteed	boolean	true only if all reviews come from contiguous pages sorted by Amazon as requested
reported_ratings / reported_written_reviews	number/null	Counts shown by Amazon, kept separate
coverage_ratio	number/null	Extracted ÷ written reviews, only when that count has the same filters; otherwise null

Summaries and errors are never counted as reviews.

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 profile links are not extracted. Review text is published as written by Amazon customers. 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

💡 Tracking prices for hundreds or thousands of ASINs? The products and monitor modes open a full browser per product. For catalog-scale price and stock monitoring, Amazon Product Scraper & Price Tracker is faster and cheaper, and it reports price_down, out_of_stock and Buy Box changes between runs. Use both together: track the catalog there, and dig into the reviews of the products that move here.

⚙️ Input parameters

Parameter	Type	Required	Default	Description
asins	array	✅	—	ASINs or full Amazon product/review URLs. A URL's own domain decides its marketplace
mode	string	❌	"reviews"	reviews, products, both, monitor
marketplace	string	❌	"amazon.com"	Marketplace for entries given as bare ASINs
max_reviews	integer	❌	100	Maximum reviews per product (1–5,000). A ceiling, not a guarantee
sort_by	string	❌	"recent"	recent or helpful (see sort_guaranteed in the summary)
filter_by_star	string	❌	"all_stars"	all_stars, five_star … one_star, positive, critical
filter_by_keyword	string	❌	""	Keep only reviews containing the keyword
verified_only / media_only	boolean	❌	false	Verified purchases only / reviews with media only
all_stars_mode	boolean	❌	false	Walk the 5 star filters one after another, redistributing unused share
max_concurrent	integer	❌	3	Parallel ASINs per marketplace, each in its own isolated browser page
max_requests_per_asin	integer	❌	auto	Page-load budget per ASIN (retries included)
max_time_per_asin_secs	integer	❌	900	Time budget per ASIN
fail_on_functional_error	boolean	❌	false	Mark the run FAILED when no ASIN gets a functional result
cookies	array	❌	—	Amazon session cookies as JSON array (see setup below). Only cookies of each URL's marketplace domain are used

Example input:

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

📦 Output example

Each review is a structured JSON object. Illustrative example:

{
  "item_type": "review",
  "asin": "B09G9FPHY6",
  "marketplace": "amazon.es",
  "review_id": "R3A1B2C3D4E5F6",
  "country": "Spain",
  "rating": 5,
  "date_raw": "Reviewed in Spain on 15 August 2026",
  "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
Amazon Product Scraper & Price Tracker	Amazon prices, stock, Buy Box seller and Best Sellers Rank by ASIN in 21 marketplaces, with price-drop alerts
AutoScout24 Scraper	European car listings across 12 markets
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?

You set the ceiling with max_reviews (up to 5,000). How many Amazon actually serves depends on the marketplace, the session (review pages often require a signed-in session) and pagination. Each product's extraction_summary tells you how many unique reviews were extracted, whether your target was reached and why extraction stopped.

What proxy configuration should I use?

The actor uses a Decodo residential proxy by default, with the proxy country matching each product's marketplace. A sign-in page does not necessarily mean a bad IP: check stop_reason and functional_status in the summary first.

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).

How do I track Amazon prices and stock without reviews?

Use Amazon Product Scraper & Price Tracker. It reads only the product page (one request per ASIN), returns local VAT-inclusive prices for 21 marketplaces and, with Track price changes on, flags price drops, stock-outs and seller changes between scheduled runs. Amazon Reviews Scraper then gives you the customer reviews behind those changes.

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.