[DEPRECATED] Amazon Reviews Scraper
DeprecatedPricing
$2.00 / 1,000 review scrapeds
[DEPRECATED] Amazon Reviews Scraper
DeprecatedScrape Amazon product reviews with built-in sentiment scoring and automatic pros/cons extraction. Get rating, full text, author, verified flag, helpful votes, date. Supports amazon.com, .fr, .de, .co.uk, .es, .it. For brand monitoring, product research, competitor analysis. $2/1K reviews.
Pricing
$2.00 / 1,000 review scrapeds
Rating
0.0
(0)
Developer
dltik
Maintained by CommunityActor stats
1
Bookmarked
6
Total users
2
Monthly active users
14 days ago
Last modified
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Amazon Reviews Scraper — Sentiment + Pros/Cons Auto-Extraction
Extract Amazon product reviews with built-in sentiment scoring and automatic pros/cons extraction. The only Amazon reviews scraper that breaks down each review into positive and negative aspects automatically. Get rating, full text, author, verified flag, helpful votes, date. Supports
amazon.com,.fr,.de,.co.uk,.it,.es,.ca,.co.jp. $0.002 per review ($2 per 1,000).
⭐ Bookmark this Amazon Reviews Scraper — Apify ranks actors by bookmarks, so it directly helps the visibility of this scraper on the Apify Store.
What is the Amazon Reviews Scraper?
The Amazon Reviews Scraper is an Apify actor that pulls every review from any Amazon product page (across 8 marketplaces) and ships back a clean JSON dataset with sentiment scores and pros/cons baked in. Drop in an ASIN or a product URL, choose how many reviews to fetch, and the actor returns each review with: full text, star rating, author name, verified-purchase flag, helpful votes, posting date — plus a sentiment score (positive/neutral/negative + confidence) and a list of pros and cons distilled from the text.
Built on AFINN-165 lexicon for sentiment, with negation handling. No external sentiment API call, no extra cost.
Use cases
- Product research before launch — analyze 1,000 reviews of competitor products to find unmet needs.
- Brand monitoring — daily scrape of your own product reviews; alert on dropping sentiment.
- Comparative analysis — pros/cons of product A vs product B at a glance.
- AI training data — labeled review datasets for fine-tuning sentiment models.
- Refund / quality issue detection — surface negative reviews mentioning "broken", "defective", "doesn't work" early.
- Affiliate content generation — auto-generate "Pros and Cons" sections for affiliate review articles.
Input
{"productUrl": "https://www.amazon.com/dp/B0EXAMPLE12","maxReviews": 200,"sortBy": "recent"}
Output
{"asin": "B0EXAMPLE12","review_id": "R3EXAMPLE","rating": 4,"title": "Great battery life, mediocre packaging","text": "The battery lasts all day, way better than my old one...","author": "Verified Buyer","verified_purchase": true,"helpful_votes": 12,"review_date": "2026-04-15","sentiment": "positive","sentiment_score": 0.62,"pros": ["battery life", "build quality"],"cons": ["packaging", "instructions"]}
Pricing
PAY_PER_EVENT — $0.002 per review (= $2 per 1,000). No charge on errors.
FAQ — Amazon Reviews API
How is sentiment computed? AFINN-165 lexicon with negation handling, in pure Python. No external API. Score from -1 (very negative) to +1 (very positive).
Where do pros/cons come from? Heuristic NLP extraction — adjective + noun pairs, negation reversal, frequency-weighted across the review.
Does it handle multi-language reviews? Yes — supports English, French, German, Spanish, Italian, Japanese (via per-locale lexicons).
Can I scrape closed/restricted listings? No — only public Amazon product pages.
⭐ Found this useful? Bookmark this Amazon Reviews Scraper — it's the strongest signal for Apify Store ranking.
Related actors
- Amazon Bestsellers Scraper — top 100 per category, 8 marketplaces
- Trustpilot Scraper — Reviews + Sentiment — same sentiment engine for Trustpilot
- Reddit Scraper — Posts + Sentiment — same sentiment engine for Reddit
License: MIT · Author: dltik