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

Extract Amazon customer reviews for any product — without login, at the deepest coverage still possible — plus data no other reviews scraper structures: 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? 💡

An honest note first. In late 2024 Amazon locked its review pages (/product-reviews/…) behind a login wall — page 1 included. Every reviews scraper on the market was affected: tools that used to return 100+ reviews per product silently dropped to the ~8–14 reviews embedded on the product page, while their descriptions kept promising "all reviews." This scraper is built for that new reality:

• 🌍 Multi-marketplace harvesting — the same product carries different locally-written reviews on amazon.com, .co.uk, .de, .ca, … This scraper fetches the product on every marketplace you select and merges the deduplicated reviews: typically 8–14 extra unique reviews per marketplace the product is listed on, instead of the usual single-page 8–14 total.
• 🧠 "Customers say" AI summary + aspect sentiment — Amazon's own AI digest of all reviews ("Battery life: mixed, 5.4K mentions") as structured fields. It condenses every review ever written for the product — including the millions behind the login wall.
• 📊 Ratings histogram + totals — the 5→1 star percentage distribution and total ratings count per product.
• ⭐ Filters that actually work — star rating, Verified Purchase, keyword, and date range are applied honestly: rows that don't match are never returned and never billed.
• 🔐 Optional cookie mode — bring your own Amazon session cookie and unlock the paginated reviews route: up to ~100 reviews per star filter per product. Validated up-front; an expired cookie fails loudly with instructions instead of silently returning nothing.
• ⚡ Pure HTTP — no browser, fast and cheap, with automatic retry on fresh residential IPs when Amazon serves an interstitial.

What does Amazon Reviews Scraper do? 🔍

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

1. Fetches the product page on each selected marketplace (with an automatic fallback route when Amazon serves its lazy page variant that hides reviews).
2. Extracts every embedded review — 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 permalink.
3. Optionally deep-dives via your session cookie (star-by-star pagination, Amazon-side sorting and keyword search).
4. Deduplicates 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	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	The no-login depth multiplier — each marketplace adds its own local reviews.
filterByStars	e.g. [1,2] for critical only. In cookie mode this is also sent to Amazon so pagination digs directly into those ratings.
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).
amazonCookies + cookieMarketplace	Optional deep pagination — see FAQ before using.

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": "com",
    "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.com/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? Without cookies: roughly 8–14 per marketplace the product is listed on — a run across 5–10 marketplaces typically yields 30–80+ unique reviews per popular product, plus the histogram and AI summary. With cookie mode: up to ~100 per star filter per product (Amazon caps pagination at 10 pages per filter). Anyone promising "all reviews" without login is describing a capability Amazon removed in 2024.

Why did every Amazon reviews scraper get worse in 2024/2025? Amazon put /product-reviews/… behind a sign-in wall — even page 1, even star filters. Public complaints on other scrapers ("only 8 reviews instead of 100", "star filter doesn't work") are that wall. This actor is designed around it rather than pretending it doesn't exist.

How does cookie mode work, and is it safe? You export the cookie request-header value from a logged-in Amazon browser tab (DevTools → Network → any request → Request Headers) and paste it into amazonCookies. The cookie is validated before scraping starts — if it's expired or from the wrong marketplace the run fails immediately with clear instructions and nothing is charged. ⚠️ Automated access can lead Amazon to sign the session out or restrict the account: use a throwaway account, never one holding payment methods or order history you care about.

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? Either the ASIN isn't listed on the selected marketplaces (rows are skipped, not billed), or Amazon served its lazy page variant repeatedly. The actor auto-retries through a fallback route (/gp/aw/d/) on fresh residential IPs, which recovers almost all cases — if a specific ASIN consistently fails, 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 🕸️

More e-commerce and review scrapers on my Apify profile: Trustpilot, Capterra, Google Maps Reviews, Amazon Sellers, Etsy, eBay, and 250+ others.

⚠️ Disclaimer

This actor collects publicly visible data only and does not bypass authentication on your behalf: cookie mode uses a session you provide from your own Amazon account, at your own discretion and risk. 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.

SEO Keywords

amazon reviews scraper, scrape amazon reviews, amazon review extractor, amazon product reviews api, amazon reviews dataset, extract amazon reviews to csv, amazon review sentiment analysis, amazon customers say scraper, amazon ratings histogram, amazon reviews without login, amazon review scraper 2026, bulk amazon reviews export, amazon asin reviews, amazon critical reviews scraper, amazon verified purchase reviews