Amazon Reviews Scraper — No-Login Reviews, Histogram & AI Summary 🛒⭐

Extract Amazon customer reviews for any product without a login or cookie, plus the full ratings histogram and Amazon's own AI-generated "Customers say" summary with per-aspect sentiment. Paste ASINs or product URLs, pick your marketplaces, export JSON/CSV/Excel.

Why use this Amazon Reviews Scraper? 💡

What to expect, honestly. Amazon shows the full review list only to signed-in shoppers, and since October 2026 amazon.com shows no reviews at all to visitors who are not signed in. Other marketplaces (UK, Canada, Germany, France and more) still show about 5–9 featured reviews on each product page. This actor reads those, and it never asks you for an Amazon login or cookie.

• 🌍 Reviews even for US products — when amazon.com hides the reviews, the actor reads the same ASIN on amazon.co.uk and amazon.ca (then .de and .fr) and returns those. Each row's marketplace field says where it came from.
• 🧠 "Customers say" AI summary + aspect sentiment — Amazon's own digest of all reviews ("Battery life: mixed, 5.4K mentions") as structured fields, including on amazon.com. It sums up every review written for the product, not only the ones on the page.
• 📊 Ratings histogram + totals — the 5→1 star percentage distribution, average rating and total ratings count per product.
• ⭐ Filters that actually work — star rating, Verified Purchase, keyword and date range. Rows that don't match are never returned and never billed.
• 💸 Pay only for rows you get — a product that shows no reviews costs nothing beyond the start fee and its summary row.
• ⚡ Fast — a typical product takes a few seconds, and a run of 5 products finishes in about 10 s.

What does Amazon Reviews Scraper do? 🔍

For every ASIN or product URL you provide, the actor:

1. Opens the product page on each selected marketplace.
2. Extracts every review shown there: rating, title, full text, ISO date + review country, author + profile link, Verified Purchase badge, helpful votes, variant attributes, full-resolution image URLs and the review link.
3. If none of your marketplaces show reviews for the product (amazon.com), reads it on co.uk and ca, then de and fr (turn off with fallbackMarketplaces: false).
4. Removes duplicates across marketplaces, applies your filters, sorts (most recent / most helpful), and pushes one row per unique review plus an optional product-summary row per product.

Supported input 📥

Input	Example
Bare ASIN	B07PXGQC1Q
Product URL	https://www.amazon.com/dp/B07PXGQC1Q
/gp/product/ URL	https://www.amazon.de/gp/product/B0D1XD1ZV3
Reviews URL (read as the product)	https://www.amazon.com/product-reviews/B07PXGQC1Q

Mixed freely, any of the 18 supported marketplaces: US, UK, Germany, France, Italy, Spain, Canada, Australia, Japan, India, Netherlands, Sweden, Poland, Belgium, UAE, Mexico, Turkey, Singapore.

Use cases 🎯

• Product & market research — what buyers love and hate before you source or build a competing product.
• Review sentiment analysis / LLM pipelines — clean structured text + Amazon's own AI aspect summary as ground truth.
• Brand & reputation monitoring — track critical (1–2★) reviews on your own or competitor listings, filtered by date.
• E-commerce copywriting — mine review language for listing copy and ads.
• Dropshipping / FBA product vetting — histogram + "Customers say" per candidate ASIN in one run.

Input configuration ⚙️

{
    "products": ["B07PXGQC1Q", "https://www.amazon.de/dp/B0D1XD1ZV3"],
    "marketplaces": ["com", "co.uk", "ca", "de"],
    "aggregateMarketplaces": true,
    "maxReviewsPerProduct": 50,
    "filterByStars": [1, 2],
    "verifiedOnly": true,
    "sort": "recent",
    "includeProductSummary": true
}

Key options:

Field	What it does
marketplaces + aggregateMarketplaces	Read each product on several marketplaces and merge the reviews. EU sites often repeat the same reviews, so expect a few extra per marketplace, not a multiple.
fallbackMarketplaces	On (default): when your marketplaces show no reviews (amazon.com), read the product on co.uk and ca, then de and fr.
filterByStars	e.g. [1,2] for critical only.
dateFrom / dateTo	ISO dates; applied to the parsed review date.
includeVariantReviews	false drops reviews attributed to a different variant ASIN (each row carries reviewedAsin + variantAttributes either way).

Output overview 📤

Two row types (type field):

• review — one per unique review.
• product-summary — one per product (disable with includeProductSummary: false).

Output sample — review row

{
    "type": "review",
    "reviewId": "R12KKP9H1D3C3I",
    "asin": "B07PXGQC1Q",
    "reviewedAsin": null,
    "marketplace": "co.uk",
    "rating": 5,
    "title": "Great wireless earpods",
    "text": "Been using these for a while now, still my go-to for everyday listening. Pairing with my iPhone…",
    "date": "2026-07-02",
    "dateRaw": "Reviewed in the United States on July 2, 2026",
    "reviewCountry": "United States",
    "author": "Henry W",
    "authorProfileUrl": "https://www.amazon.com/gp/profile/amzn1.account.AHLEYE45VGG…",
    "verifiedPurchase": true,
    "helpfulVotes": 111,
    "variantAttributes": "Set: Without AppleCare+",
    "images": ["https://m.media-amazon.com/images/I/61UzPGU7rxL.jpg"],
    "reviewUrl": "https://www.amazon.co.uk/gp/customer-reviews/R12KKP9H1D3C3I",
    "source": "product-page"
}

Output sample — product-summary row

{
    "type": "product-summary",
    "asin": "B07PXGQC1Q",
    "marketplace": "com",
    "productTitle": "Apple AirPods Wireless Ear Buds, Bluetooth Headphones…",
    "averageRating": 4.7,
    "totalRatings": 635952,
    "ratingsHistogram": { "5": 87, "4": 8, "3": 3, "2": 0, "1": 2 },
    "customersSay": "Customers find these wireless earbuds to be of good quality, with clear sound and great functionality. …",
    "aspects": [
        { "aspect": "Quality", "sentiment": "positive", "mentions": 9500 },
        { "aspect": "Battery life", "sentiment": "mixed", "mentions": 5400 }
    ],
    "url": "https://www.amazon.com/dp/B07PXGQC1Q"
}

Key output fields 🗝️

Field	Notes
date / dateRaw / reviewCountry	Localized date lines are parsed to ISO dates across EN/DE/FR/ES/IT/NL/JA; when parsing fails the raw string is always preserved and the row is kept.
images	Full-resolution URLs (Amazon's thumbnail size suffix stripped).
helpfulVotes	Integer, parsed from "One person/111 people found this helpful" incl. localized forms.
reviewedAsin + variantAttributes	Variant attribution, best-effort — Amazon mixes reviews across a product family.
aspects[].sentiment	positive / mixed / negative — same signal Amazon shows as green/orange chips.

FAQ ❓

How many reviews will I get per product? About 5–9 per product from each marketplace that still shows reviews to visitors (measured October 2026: UK 5, Canada 5, France 5, Germany 9 on the same product). Marketplaces often repeat the same reviews, so a popular product usually ends up with 5–15 unique reviews, plus the histogram and AI summary. Tools that promise hundreds of reviews per product without your login are using signed-in accounts behind the scenes.

Why do I get no reviews from amazon.com? amazon.com now shows "Sign in to see customer reviews" in place of reviews to every visitor who is not signed in. This actor never signs in, so on .com you get the product summary row (rating, histogram, "Customers say") and the reviews come from the other marketplaces where the product is sold.

Do I need an Amazon account or cookie? No. The actor reads public product pages only and has no login or cookie input.

Do the filters cost me anything? No. Filters run before billing — you're only charged for review rows actually pushed to the dataset. Empty runs charge nothing beyond the actor-start event.

What about reviews in other languages? Reviews come back in each marketplace's language (that's the point of aggregation — they're different reviews). Dates are parsed to ISO across major locales; the raw localized strings are always preserved.

A product returned no reviews at all — why? Usually the product is sold only on amazon.com, which shows reviews only to signed-in shoppers; the run's status message says so and nothing is charged for reviews. Otherwise the ASIN isn't listed on the marketplaces tried, or Amazon kept serving a page without reviews. If a specific ASIN keeps failing on a marketplace that shows reviews in your browser, open an issue with the ASIN and marketplace.

Support 🤝

Found a bug or missing a feature? Open an issue on the actor's Issues tab — issues are answered, and the actor is actively maintained (that's the whole pitch).

Additional services 🚀

Need review data at custom scale, a different output shape, webhook delivery, or a private variant of this actor? Reach out via the Issues tab or my Apify profile.

Explore more scrapers 🕸️

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Reviews on another retailer? The Best Buy Scraper returns Best Buy customer reviews — rating, full text, verified-purchase badge, pros and cons — alongside prices and per-ZIP stock.

🤖 For AI Agents & LLM Apps

Compact reference for AI agents calling this actor via the Apify MCP server or the Apify API (actor: memo23/amazon-reviews-scraper).

Purpose: Extracts the Amazon product reviews shown to visitors who are not signed in (about 5–9 per product per marketplace; none on amazon.com) by ASIN or product URL across up to 18 marketplaces, plus, per product, the ratings histogram and Amazon's "Customers say" AI summary with per-aspect sentiment.

Minimal input:

{
  "products": ["B07PXGQC1Q"],
  "marketplaces": ["com"],
  "maxItems": 50
}

products (bare ASINs or /dp/…, /gp/product/… URLs) is required. Other inputs: aggregateMarketplaces, maxReviewsPerProduct, filterByStars, verifiedOnly, filterByKeyword, dateFrom, dateTo, sort (recent / helpful), includeVariantReviews, includeProductSummary, fallbackMarketplaces, concurrency.

Output: two row types keyed by type. review rows — reviewId, asin, reviewedAsin, marketplace, rating, title, text, date, dateRaw, reviewCountry, author, authorProfileUrl, verifiedPurchase, helpfulVotes, variantAttributes, images[], reviewUrl, source. product-summary rows — productTitle, averageRating, totalRatings, ratingsHistogram {5..1}, customersSay, aspects[] {aspect, sentiment, mentions}, url.

Behaviors an agent should know:

• Always set maxItems (whole run) and maxReviewsPerProduct. Expect about 5–9 reviews per product per marketplace that shows them; amazon.com shows none to visitors, and with fallbackMarketplaces (default true) the actor then reads co.uk and ca, then de and fr. aggregateMarketplaces (default true) merges reviews across all selected marketplaces without duplicates.
• Filters (filterByStars, verifiedOnly, filterByKeyword, dateFrom/dateTo, includeVariantReviews) run before billing — non-matching rows are never returned or charged.
• includeProductSummary (default true) emits one summary row per product as its own cheap event.
• Billed per review row pushed plus a cheap product-summary event; filtered/skipped rows and empty runs charge nothing beyond the actor-start event.

⚠️ Disclaimer

This actor collects publicly visible data only: it never signs in and never asks for an Amazon account or cookie. Respect Amazon's Terms of Service and applicable laws (GDPR/CCPA) when storing reviewer names and profile links. This actor is not affiliated with, endorsed by, or sponsored by Amazon.com, Inc. "Amazon" is a trademark of Amazon.com, Inc.

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