Amazon Reviews Scraper

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🎯 What this scrapes

Amazon doesn't publish a public reviews API, and its dedicated all-reviews listing page requires a signed-in session — so this Actor targets the real, keyless surface every visitor sees without logging in: the "Top reviews" widget embedded right on a product's own page (amazon.com/dp/<ASIN>). This Actor takes a list of ASINs or product URLs and returns one clean row per top review — reviewer name, star rating, title, body, verified-purchase flag, date, and helpful-vote count — up to the cap you set.

Honest scope: a product page typically embeds 6-10 top reviews, not Amazon's full review history. If you need the full corpus you'd have to be logged in to Amazon yourself — this Actor doesn't pretend otherwise. What it gives you is real, structured, no-login top-review data across as many ASINs as you throw at it in one run.

🔥 Features

• 🛡️ We rotate browser fingerprints — curl-cffi impersonation (Chrome / Firefox / Safari) so Amazon sees a real browser's TLS handshake, not Python.
• 🔁 We retry with exponential backoff on 408 / 429 / 5xx and honour Retry-After — up to 5 attempts per page.
• 🌐 We rotate proxy sessions through Apify Proxy on every block — a fresh session and fingerprint the moment one gets flagged.
• 🧊 Clean, typed dataset rows — Pydantic-validated, ISO-8601 dates, verified_purchase and helpful_vote_count always resolve to true/false and a number, never null.
• 🔗 Dedupe built in — any duplicate review block is collapsed to a single dataset row.
• 💰 You pay only for results that land. No reviews, no per-review charge — only the small actor-start warm-up fee.

💡 Use cases

• Product research — pull each competitor ASIN's top reviews before a launch or a pricing decision.
• Voice-of-customer analysis — feed top-review text and ratings into your own sentiment or topic-modeling pipeline.
• Review monitoring — re-run against the same ASINs on a schedule to track how the surfaced top reviews shift.
• Catalog QA — spot-check verified-purchase ratios and helpful-vote signals across a product line's top reviews.

⚙️ How to use it

1. Click Try for free at the top of the page.
2. Add one or more ASINs and/or Product URLs — at least one of the two is required.
3. Set Max reviews per product (a ceiling — most ASINs surface 6-10 top reviews) and leave Marketplace domain at amazon.com (the only supported marketplace in v1).
4. Click Start. Output streams into the run's dataset.
5. Export from Storage → Dataset as JSON, CSV, or Excel — or fetch via the API.

📥 Input

Field	Type	Required	Default	Notes
asins	array	no*	[]	10-character Amazon ASINs, e.g. B0BSHF7WHW.
productUrls	array	no*	[]	Amazon product URLs (/dp/..., /gp/product/..., /product-reviews/...) — the ASIN is extracted automatically; reviews are always fetched from the product's own page.
maxReviewsPerProduct	integer	no	10	Cap on review rows emitted per ASIN (1-20) — a ceiling, not a guarantee.
marketplaceDomain	string	no	"amazon.com"	Single-value enum; v1 is US-only.
proxyConfiguration	object	no	{"useApifyProxy": true}	Standard Apify Proxy block — escalate to RESIDENTIAL if you ever see a block.

* At least one of asins / productUrls must be non-empty.

Example input

{
  "asins": ["B0BSHF7WHW"],
  "productUrls": [],
  "maxReviewsPerProduct": 10,
  "marketplaceDomain": "amazon.com",
  "proxyConfiguration": {"useApifyProxy": true}
}

📤 Output

Every row is one review.

Field	Type	Notes
asin	string	10-character Amazon ASIN.
product_url	string | null	Canonical amazon.com/dp/<asin> URL.
product_title	string | null	Product title, when present on the fetched review page.
review_id	string | null	Amazon's internal review ID, when exposed.
reviewer_name	string | null	Display name of the reviewer.
rating	number	Star rating, 1-5.
review_title	string | null	Review headline.
review_text	string	Review body.
verified_purchase	boolean	true/false, never null.
review_date	string	ISO-8601 date.
helpful_vote_count	integer	Defaults to 0 when the source shows none — never null.
marketplace_domain	string	Echoes the input, e.g. "amazon.com".
scraped_at	string	ISO 8601 UTC timestamp when the row was fetched.

Example output

{
  "asin": "B0BSHF7WHW",
  "product_url": "https://www.amazon.com/dp/B0BSHF7WHW",
  "product_title": "Example Wireless Noise-Cancelling Headphones",
  "review_id": "R2X9EXAMPLE123",
  "reviewer_name": "J. Rivera",
  "rating": 4.0,
  "review_title": "Great sound, so-so battery",
  "review_text": "Comfortable fit and clear mids. Battery drains faster than advertised after a few months.",
  "verified_purchase": true,
  "review_date": "2026-06-14",
  "helpful_vote_count": 12,
  "marketplace_domain": "amazon.com",
  "scraped_at": "2026-07-30T00:00:00Z"
}

💰 Pricing

Pay-Per-Event — you pay only when these events fire:

Event	USD	What it is
actor-start	$0.01	One-off warm-up charge per run
review-scraped	$0.0025	Per review row written to the dataset — $2.50 / 1 000 results

No subscription, no minimum, no card required to start — Apify gives every new account $5 of free credit.

🚧 Limitations

This Actor returns the top reviews Amazon embeds on the product page itself — typically 6-10 per ASIN — not Amazon's full, paginated review history (that listing requires a signed-in Amazon session, which this Actor deliberately does not use). maxReviewsPerProduct is a ceiling, not a guarantee, and a run can legitimately return fewer rows than requested when a product's page embeds fewer. v1 covers amazon.com only (no other country marketplaces), product reviews only (no seller/marketplace-offer reviews), and excludes review images/video, product-detail fields beyond title/URL, rating-histogram summaries, and any login-gated or Amazon Vine-exclusive content.

❓ FAQ

Do I need an Amazon account or API key?

No. This Actor reads the same public product page a signed-out visitor sees — no login, no key.

Can I pass a product URL instead of an ASIN?

Yes — productUrls accepts standard Amazon product links (/dp/..., /gp/product/..., /product-reviews/...); the ASIN is extracted automatically and its reviews are fetched from the product's own page.

Does this return every review a product has, or just some?

Just the top reviews Amazon surfaces on the product page — typically 6-10 per ASIN. Amazon's full paginated review archive sits behind a signed-in session; this Actor stays keyless by design rather than faking a login.

What happens if a product has fewer reviews than my maxReviewsPerProduct?

The run still succeeds — the status message reports the actual count scraped per ASIN rather than treating an under-fill as a failure.

Which countries does this cover?

amazon.com (United States) only in v1. Other Amazon marketplaces are a future addition, not yet supported.

💬 Your feedback

Spotted a bug, hit a weird edge case, or need a new field? Open an issue on the Actor's Issues tab on Apify Console — we ship fixes weekly and we read every report.

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