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Amazon Reviews Scraper

Pricing

from $0.50 / 1,000 results

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Amazon Reviews Scraper

Amazon Reviews Scraper

Real-time Amazon product reviews for any ASIN and marketplace, with rich filters and structured output for monitoring and analytics.

Pricing

from $0.50 / 1,000 results

Rating

5.0

(2)

Developer

agi

agi

Maintained by Community

Actor stats

3

Bookmarked

30

Total users

11

Monthly active users

2.9 days

Issues response

a day ago

Last modified

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This Apify Actor retrieves Amazon product reviews in real time, with flexible filtering options. It is suitable for review monitoring, competitor analysis, and downstream data pipelines.

Why it's fast and stable

Unlike browser-based scrapers (Playwright, Puppeteer, Selenium), this Actor does not launch or depend on a headless browser. It connects to a lightweight HTTP scraping backend over WebSocket and streams parsed reviews directly into the dataset.

This architecture brings several practical benefits:

  • Low memory footprint — runs comfortably at 128 MB (default) with a 256 MB ceiling, instead of the 1–2 GB typical for browser Actors
  • Faster cold starts — no Chromium download, browser boot, or page rendering overhead
  • Higher stability — fewer moving parts; no browser crashes, tab leaks, or CDP disconnects
  • Lower cost — less memory and CPU per run on Apify

Key capabilities

  • Real-time review collection for a given ASIN
  • 23 Amazon marketplaces (country code → domain mapping below)
  • Filtering by sort mode, reviewer type, star rating, format, and media type
  • Continuous pagination support for higher review coverage
  • Structured output ready for analytics, storage, or integration workflows

Supported marketplaces

Pass the country input as a two-letter code. The Actor resolves it to the corresponding Amazon domain automatically.

Countrycountry codeAmazon domain
United StatesUSwww.amazon.com
CanadaCAwww.amazon.ca
MexicoMXwww.amazon.com.mx
United KingdomUKwww.amazon.co.uk
IrelandIEwww.amazon.ie
GermanyDEwww.amazon.de
FranceFRwww.amazon.fr
ItalyITwww.amazon.it
SpainESwww.amazon.es
NetherlandsNLwww.amazon.nl
SwedenSEwww.amazon.se
PolandPLwww.amazon.pl
BelgiumBEwww.amazon.com.be
JapanJPwww.amazon.co.jp
AustraliaAUwww.amazon.com.au
IndiaINwww.amazon.in
SingaporeSGwww.amazon.sg
United Arab EmiratesAEwww.amazon.ae
Saudi ArabiaSAwww.amazon.sa
TurkeyTRwww.amazon.com.tr
BrazilBRwww.amazon.com.br
EgyptEGwww.amazon.eg
South AfricaZAwww.amazon.co.za

Input parameters

ParameterDescription
asinProduct ASIN (required)
countryMarketplace country code — see table above (default: US)
maxPagesMaximum number of pages to fetch (1–10)
filterByKeywordKeyword filter for review content
sortBySorting mode: recent or helpful
reviewerTypeall_reviews or avp_only_reviews (verified purchase only)
filterByStarStar/sentiment filter (all_stars, five_star, critical, etc.)
formatTypeall_formats or current_format
mediaTypeall_contents or media_reviews_only

Input example

{
"asin": "B0DMT42TFS",
"country": "US",
"maxPages": 3,
"filterByKeyword": "battery",
"sortBy": "helpful",
"reviewerType": "all_reviews",
"filterByStar": "all_stars",
"formatType": "all_formats",
"mediaType": "all_contents"
}

Output example

Each run produces one dataset record per review. Example shape:

{
"rating": "4.0",
"author": "Jane D.",
"header": "Solid product for daily use",
"id": "R1ABCDEFGHIJK",
"content": "Arrived on time and works as described. Packaging was fine.",
"author_link": "/gp/profile/amzn1.account.EXAMPLE",
"date": "Reviewed in the United States on January 10, 2026",
"date_format": "2026-01-10",
"country_code": "US",
"images": [],
"helpful_text": "3 people found this helpful",
"helpful_count": 3,
"is_amazon_vine": false,
"is_verified": true,
"variant_info": ["Size: Large", "Color: Black"],
"videos": []
}

Output fields

Each dataset item represents one review and typically includes:

  • Rating, title, content, and date
  • Reviewer information and profile link
  • Image and video information
  • Vine / verified-purchase indicators
  • Variant/format details and helpful vote information

Typical use cases

  • Monitor new reviews and sentiment changes in near real time
  • Track competitor product feedback across marketplaces
  • Identify recurring product issues from low-rating reviews
  • Feed structured review data into BI dashboards and alerting systems

Stability and security

  • Browser-free architecture keeps memory usage low and runs predictable
  • Continuous pagination flow helps reduce missed reviews
  • Unified input-schema validation helps reduce invalid run failures
  • Logging is sanitized to avoid printing token-bearing connection strings

Compliance notice

Use this Actor in accordance with applicable laws and the target platform's terms and policies.