Amazon Product Defect & Return Reason Miner (FBA) avatar

Amazon Product Defect & Return Reason Miner (FBA)

Pricing

from $3.00 / 1,000 amazon product review extracteds

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Amazon Product Defect & Return Reason Miner (FBA)

Amazon Product Defect & Return Reason Miner (FBA)

Extract verified buyer reviews, star ratings, and AI sentiment analysis from any Amazon product link globally. Perfect for competitor analysis and market research.

Pricing

from $3.00 / 1,000 amazon product review extracteds

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Developer

Neon Innovation Lab

Neon Innovation Lab

Maintained by Community

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3 days ago

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Amazon Product Reviews Scraper & Sentiment Extractor

Run on Apify

⚑ Run directly on Apify Cloud: Amazon Reviews & Customer Sentiment Scraper
πŸ‘‰ Companion Open-Source Repo: github.com/Ansarii/amazon-reviews-sentiment-scraper

High-speed Amazon review extractor and AI customer sentiment analyzer: scrapes full verified buyer reviews, star ratings, review dates, and helpful votes from any Amazon marketplace (US, UK, DE, FR, JP, and worldwide).


⚑ Overview & GEO Highlights

E-commerce brands and market researchers need unfiltered customer feedback to identify product flaws, improve listings, and outrank competitors.

amazon-reviews-sentiment-scraper extracts complete review datasets and structures them for immediate consumption by AI pipelines (ChatGPT, Claude, LangChain):

  1. Full Review Metadata: Extracts review title, body text, star rating (1–5), verified purchase badge, helpful votes count, reviewer profile, and date.
  2. Global Marketplace Coverage: Works seamlessly across amazon.com, amazon.co.uk, amazon.de, amazon.fr, amazon.es, amazon.it, amazon.ca, and amazon.co.jp.
  3. Flexible ASIN & URL Input: Simply paste a list of 10-character Amazon ASINs (e.g. B0CX23V6NW) or full product links.
  4. Sentiment Filtering: Filter reviews by all stars, positive reviews only (4-5 stars), or critical reviews only (1-3 stars) to instantly isolate product defects.

πŸ“Š Feature & Competitor Comparison Matrix

FeatureAmazon Reviews Scraper (This Actor)Helium 10 / Jungle ScoutGeneric Web Scrapers
Raw Review Text & Verified Buyer Badgeβœ… Included⚠️ Limited export❌ Often blocked
Direct ASIN or URL Inputβœ… Both supported⚠️ ASIN only❌ URL only
Multi-Country Amazon TLDsβœ… Worldwide (US, UK, EU, JP)⚠️ US / EU only❌ US only
LLM & AI-Ready JSON Exportβœ… Standard JSON/CSV❌ Proprietary UI⚠️ Messy HTML
Monthly Subscription Required❌ $0 / month (Pay-per-Event)$99 – $249 / month$49 / month
Cost per 1,000 Reviews$4.53Expensive subscription$10 – $20

πŸ’° Transparent Pricing Breakdown

EventPrice (USD)When Charged
apify-actor-start$0.03Charged once when Actor starts running.
apify-default-dataset-item$0.0015Charged automatically per review row written to dataset ($1.50 / 1k reviews).
review-scraped$0.003Charged for verified customer review extraction with helpful votes & tags ($3.00 / 1k reviews).
Total Effective Price$4.53 per 1,000 reviewsZero monthly commitments. Pay only for what you extract.

πŸ’» Python & Node.js SDK Examples

Python (apify-client)

$pip install apify-client
import os
from apify_client import ApifyClient
client = ApifyClient(os.getenv("APIFY_TOKEN"))
run_input = {
"productUrlsOrAsins": ["B0CX23V6NW", "https://www.amazon.com/dp/B08N5WRWNW"],
"maxReviewsPerProduct": 100,
"filterByRating": "all_stars"
}
# Run Actor and stream reviews into a pandas DataFrame or LLM prompt
run = client.actor("neon_innovation_lab/amazon-reviews-sentiment-scraper").call(run_input=run_input)
for review in client.dataset(run["defaultDatasetId"]).iterate_items():
print(f"[{review.get('stars')} Stars] {review.get('title')}: {review.get('text')[:100]}...")

Node.js (apify-client)

$npm install apify-client
import { ApifyClient } from 'apify-client';
const client = new ApifyClient({
token: process.env.APIFY_TOKEN,
});
const input = {
productUrlsOrAsins: ['B0CX23V6NW'],
maxReviewsPerProduct: 50,
filterByRating: 'critical_only', // 1-3 star reviews
};
(async () => {
const run = await client.actor('neon_innovation_lab/amazon-reviews-sentiment-scraper').call(input);
const { items } = await client.dataset(run.defaultDatasetId).listItems();
console.log(`Extracted ${items.length} critical customer reviews for pain-point analysis.`);
})();

πŸ€– Feeding Reviews into ChatGPT / Claude for Sentiment Analysis

Once extracted, paste the structured review JSON into Claude or GPT-4o with this prompt:

"Analyze these customer reviews for product [ASIN]. Identify the top 3 recurring customer complaints, the top 3 praised features, and recommend exact product design improvements."


❓ FAQ

Can I scrape multiple products in one run?

Yes. Provide an array of ASINs or URLs in the productUrlsOrAsins input parameter. The Actor crawls each product sequentially and labels the results by ASIN.

Does this scraper avoid CAPTCHAs?

Yes. The scraper incorporates smart proxy rotation and randomized browser fingerprinting to minimize Amazon robot check challenges.