Amazon Reviews Scraper
Pricing
from $0.50 / 1,000 results
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
Maintained by CommunityActor stats
3
Bookmarked
30
Total users
11
Monthly active users
2.9 days
Issues response
2 days ago
Last modified
Categories
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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.
| Country | country code | Amazon domain |
|---|---|---|
| United States | US | www.amazon.com |
| Canada | CA | www.amazon.ca |
| Mexico | MX | www.amazon.com.mx |
| United Kingdom | UK | www.amazon.co.uk |
| Ireland | IE | www.amazon.ie |
| Germany | DE | www.amazon.de |
| France | FR | www.amazon.fr |
| Italy | IT | www.amazon.it |
| Spain | ES | www.amazon.es |
| Netherlands | NL | www.amazon.nl |
| Sweden | SE | www.amazon.se |
| Poland | PL | www.amazon.pl |
| Belgium | BE | www.amazon.com.be |
| Japan | JP | www.amazon.co.jp |
| Australia | AU | www.amazon.com.au |
| India | IN | www.amazon.in |
| Singapore | SG | www.amazon.sg |
| United Arab Emirates | AE | www.amazon.ae |
| Saudi Arabia | SA | www.amazon.sa |
| Turkey | TR | www.amazon.com.tr |
| Brazil | BR | www.amazon.com.br |
| Egypt | EG | www.amazon.eg |
| South Africa | ZA | www.amazon.co.za |
Input parameters
| Parameter | Description |
|---|---|
asin | Product ASIN (required) |
country | Marketplace country code — see table above (default: US) |
maxPages | Maximum number of pages to fetch (1–10) |
filterByKeyword | Keyword filter for review content |
sortBy | Sorting mode: recent or helpful |
reviewerType | all_reviews or avp_only_reviews (verified purchase only) |
filterByStar | Star/sentiment filter (all_stars, five_star, critical, etc.) |
formatType | all_formats or current_format |
mediaType | all_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.