kestrel actors › Ecommerce

Amazon Reviews Scraper — Customer Reviews & Ratings

An amazon reviews scraper that returns amazon customer reviews and amazon product reviews for any product, in any marketplace, as structured rows: star rating, review body, reviewer, the country the review came from, date, Verified Purchase flag, helpful votes and the variation bought — plus a product row carrying amazon ratings and the total rating count.

Run Amazon Reviews Scraper on Apify →

Amazon reviews scraper pricing: what one row costs

Pay per event: one per delivered review row and one per product row. Free: status rows, every review removed by a filter, products with no visible reviews, and failed products. An ASIN and its URL are one product, fetched and billed once per run.

Verified runs behind this listing cost $0.0002–$0.0024 each in platform compute. Exact per-row pricing is on this page's pricing tab.

Amazon reviews scraper input reference

Every field of Amazon Reviews, straight from the actor's input schema.

Example input

{ "asins": ["B0BSHF7WHW", "B09B8V1LZ3"], "minRating": 2, "requireText": true, "verifiedOnly": true }

{ "asins": ["B0BSHF7WHW", "https://www.amazon.co.uk/dp/B09G9FPHY6"], "maxReviewsPerProduct": 0 }

Amazon reviews scraper output fields

Three row types share one dataset: review (one customer review, charged), product (the product's rating summary, charged) and status (per product, free).

Dataset views in the Apify Console: Overview, Reviews, Products, Run status.

Example row from a real run

Taken from the actor's README — this is the shape your dataset holds.

{
  "type": "review", "asin": "B0BSHF7WHW", "domain": "com", "marketplace": "US",
  "product_title": "Apple 2023 MacBook Pro Laptop", "review_id": "RCA7TI5EBH5VK",
  "rating": 5.0, "title": null,
  "text": "I upgraded from the i9 Intel MacBook Pro from 2019, and this laptop seriously blows that away.",
  "author": "Michael M", "country": "the United States", "date_text": "July 22, 2023",
  "verified": true, "helpful_votes": 65, "variant": null,
  "url": "https://www.amazon.com/gp/customer-reviews/RCA7TI5EBH5VK"
}

{
  "type": "product", "asin": "B0BSHF7WHW", "domain": "com", "marketplace": "US",
  "title": "Apple 2023 MacBook Pro Laptop", "brand": null,
  "rating": 4.7, "ratings_count": 387, "reviews_visible": 13,
  "price": null, "price_display": null, "currency": "USD",
  "availability": null, "image": "https://m.media-amazon.com/images/I/example.jpg",
  "features": ["Apple M2 Pro chip"], "url": "https://www.amazon.com/dp/B0BSHF7WHW?th=1&psc=1"
}

Amazon reviews scraper in Python, JavaScript and curl

Python

from apify_client import ApifyClient

client = ApifyClient("<YOUR_APIFY_TOKEN>")
run = client.actor("kestrel/amazon-reviews-scraper").call(run_input={
    "asins": ["B0BSHF7WHW"], "minRating": 2, "verifiedOnly": True, "requireText": True,
})
for row in client.dataset(run["defaultDatasetId"]).iterate_items():
    if row["type"] == "review":
        print(row["rating"], row["country"], row["text"][:80])

JavaScript (Node)

import { ApifyClient } from 'apify-client';

const client = new ApifyClient({ token: '<YOUR_APIFY_TOKEN>' });
const run = await client.actor('kestrel/amazon-reviews-scraper').call({
    asins: ['B0BSHF7WHW', 'https://www.amazon.co.uk/dp/B09G9FPHY6'],
});
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(items.filter((i) => i.type === 'product').map((p) => [p.marketplace, p.rating, p.ratings_count]));

curl

curl -X POST "https://api.apify.com/v2/acts/kestrel~amazon-reviews-scraper/run-sync-get-dataset-items?token=<YOUR_APIFY_TOKEN>" \
  -H 'Content-Type: application/json' \
  -d '{"asins":["B0BSHF7WHW"],"minRating":2}'

The same three calls are runnable files in the examples repository: examples/amazon-reviews-scraper.py|.js|.sh.

Limits and honest notes

Scope — read this before you buy

This reads the reviews Amazon publishes on the public product page, which is roughly 8–13 reviews per product, ordered by Amazon's own mix of recent and most-helpful. Amazon requires a signed-in session for its full review archive, and this actor deliberately does not attempt that — no account sharing, no cookie injection, no session resale. If you need every review a product has ever had, this is not the tool, and no honest listing should tell you otherwise.

What you do get for every ASIN is the complete rating summary (rating, ratings_count) plus that visible sample, which is enough for rating trends, complaint detection and competitor tracking across a large catalogue.

Likewise, price is best-effort. Amazon frequently withholds price markup from unauthenticated clients — on a 1.8 MB product page in testing there was no price element at all. When Amazon serves one, you get it; treat the field as a bonus, not a price-tracking feature. If you want prices and rank, use the companion Amazon Search & Best Sellers actor, which reads them from result pages where Amazon does render them.

FAQ

Does it need an Amazon API key or login?

No. There is no public amazon review api for product reviews, and Amazon's Product Advertising API requires an affiliate account with sales requirements and does not return review text. This uses neither — it reads the public product page.

Can I download Amazon reviews as CSV or Excel?

Yes. Every run writes an Apify dataset, exportable to CSV, Excel, JSON or XML from the Console or over the API with ?format=csv. That is the quick path to download amazon reviews for an ASIN list.

How do I get only Amazon negative reviews?

Set minRating to your ceiling (2 for one- and two-star) and add requireText: true so you only pay for reviews with actual words. verifiedOnly: true strips unverified noise. Everything above the ceiling is dropped before billing.

How many reviews will I get per product?

Roughly 8–13 — the set Amazon shows publicly. This is a real limit, not a setting, and it is the honest answer that some listings in this category avoid giving. reviews_visible on each product row reports the exact number.

Can I scrape Amazon reviews by ASIN in bulk?

Yes. Put as many ASINs in asins as you like; each is fetched once and billed once. Bulk amazon reviews are billed per delivered row, so cost scales with data rather than time, and the filters cut it directly.

Which marketplaces are supported?

Twenty, listed in the input section. A product URL selects its own marketplace automatically; bare ASINs use domain. The same ASIN in two marketplaces is treated as two products because the reviews and ratings genuinely differ.

Does it return prices?

Best-effort only — see Scope. Amazon commonly withholds price markup from unauthenticated clients. For prices and keyword rank, use the companion Amazon Search & Best Sellers actor.

Can I get the star-rating breakdown?

The product row carries rating and ratings_count for every ASIN. The 5/4/3/2/1 percentage split is included when Amazon renders it on the page, which is not always.

Can I scrape Amazon reviews without an API?

That is what this is — amazon reviews without api access, no key to apply for and no affiliate account. You call an Apify actor and read rows back.

Is there a free tier?

Products with no visible reviews, filtered reviews, status rows and failed products are always free, so a run that finds nothing costs nothing beyond a fraction of a cent of platform compute. Apify's free plan includes monthly credit you can spend here.

How to use Amazon Reviews Scraper

• How to Scrape Amazon Reviews: the Real Limit Is 13 — Amazon publishes 8-13 reviews per product to logged-out visitors. What that means for review scraping, what you can still build, and honest Python code.
• How to Build a Voice of Customer Dataset — Join reviews from OTAs, marketplaces, app stores and Trustpilot into one table: scales, languages, dedupe keys, ceilings and what each source is good for.
• Pay Per Event vs Per Result: Scraper Pricing — How scraper pricing models differ, why the per-row price is not the cost, and the four questions that decide what a scraping job actually bills you.
• How to Track Amazon Best Sellers Rank (BSR) Daily — Chart pages render only 30 of 50 ranks as HTML. How to get contiguous ranks 1-100, what to diff between runs, and why rank alone misleads.

Ready-made runs you can open and start

Each one is a saved input on the Apify Store — open it, press Start, and it runs with the fields already filled in. All 163 across the suite.

Related scrapers

• AliExpress Reviews Scraper — buyer feedback with photos, variant chosen and buyer country, for product research and dropshipping.
• Trustpilot Reviews Scraper — company reviews and TrustScore from Trustpilot, past the 200-review wall an anonymous reader normally hits.
• Amazon Product Scraper — the product itself: buybox price, list price, stock, gallery, bullets and details, without the review rows.
• App Store Reviews Scraper — Apple App Store reviews for any app across every storefront in one run, with the same pre-billing rating filters.
• Amazon Best Sellers Scraper — the Top 100 of any category by best seller rank; its asin column is the natural input for a reviews run.
• Amazon Search Scraper — Amazon search results, Best Sellers and keyword rank.
• Google Hotels Prices Scraper — hotel prices and every booking site’s rate for a stay.

Run Amazon Reviews Scraper

The actor lives on the Apify Store, where the pricing tab carries the live per-row price and the input form has every field above: apify.com/kestrel/amazon-reviews-scraper