Reputation Intelligence

Product Review & Rating Scraping Services

Turn customer opinions into actionable insights by extracting real reviews, ratings, and feedback from across the web.

live-review-feed.amazon.com
★★★★★
"Best headphones I've ever owned! Battery lasts 40+ hours and sound quality is incredible."
✓ Verified PurchaseJohn D. - March 2025👍 124 helpful
★★★★☆
"Great value for money. Slightly bulky but excellent performance overall."
Sarah M. - Feb 2025👍 89 helpful
★★★★★
"Fast shipping, perfect condition. Will buy again!"
✓ Verified PurchaseMike R. - March 2025
Amazon Walmart eBay Target AliExpress Shopify Zomato Swiggy UberEats DoorDash Google Maps Trustpilot TripAdvisor Instacart Myntra Amazon Walmart eBay Target AliExpress Shopify Zomato Swiggy UberEats DoorDash Google Maps Trustpilot TripAdvisor Instacart Myntra

Why Scrape Product Reviews?

Data without context is just noise. We provide structured review data that allows your team to perform deep sentiment analysis and competitive benchmarking.

✓ Verified Purchase Detection

We filter and tag reviews to distinguish between verified buyers and general feedback — ensuring your analysis is based on authentic customer experiences.

✓ Sentiment-Ready Formatting

Data is delivered in clean JSON/CSV formats, optimized for NLP and AI model training. Ready for immediate integration with your analytics pipeline.

✓ Multi-Language Support

Extract reviews in 25+ languages with automatic language detection and translation-ready formatting for global analysis.

★★★★★
📊 Sentiment Score: 0.94 (Positive)
✅ Verified Purchase • 124 Helpful Votes

Engineered for Reliable Review Extraction

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Auto-Pagination

Our scrapers navigate through thousands of review pages automatically, ensuring no feedback is left behind — even on sites with infinite scroll.

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Anti-Bot Bypass

Smart rotation, browser fingerprinting, and 50M+ residential proxies allow us to scrape data from major retail platforms without interruptions.

📅

Historical & Delta Scraping

Collect years of historical reviews or set up a pipeline to scrape only the newest feedback daily — perfect for ongoing monitoring.

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Smart Deduplication

Advanced algorithms detect and remove duplicate reviews across variants, listings, and platforms to ensure clean datasets.

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Real-Time Monitoring

Set up webhooks to receive instant notifications when new reviews are posted — never miss critical feedback.

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Filtered Extraction

Target specific rating ranges, date ranges, verified-only reviews, or reviews with images/videos for focused analysis.

Data Points We Capture

⭐ Ratings & Totals

Average star ratings, total review count, and rating distribution (1-5 stars) — all normalized and structured.

✍️ Textual Feedback

Full review headlines, body text, pros/cons highlights, and "verified purchase" badges with timestamps.

👤 User Metadata

Reviewer names, locations, dates, helpfulness upvotes, and reviewer profile links where available.

📸 Media Attachments

Review images, video URLs, and screenshot metadata — perfect for visual sentiment analysis.

🏷️ Product Variant Data

Color, size, or style-specific reviews with variant-level rating breakdowns.

📈 Sentiment Scores

Pre-computed sentiment scores (positive/neutral/negative) using our proprietary NLP models — ready for dashboards.

Platforms We Extract Reviews & Ratings From

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E-Commerce Marketplaces

Amazon, Walmart, eBay, AliExpress, Target, Best Buy, Flipkart, Etsy

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Food Delivery & Restaurants

UberEats, DoorDash, Zomato, Swiggy, Deliveroo, Grubhub, Postmates

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Grocery Delivery

Instacart, Amazon Fresh, Walmart Grocery, Tesco, Ocado, BigBasket

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Brand & D2C Websites

Shopify Stores, Nike, Sephora, Samsung, Apple, Lululemon, Adidas

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Local & Travel

Google Maps, Yelp, Trustpilot, TripAdvisor, Glassdoor, Booking.com

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App Stores

Apple App Store, Google Play Store — app reviews and ratings

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Hotels & Hospitality

Expedia, Airbnb, Agoda, Hotels.com, Marriott, Hilton

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Health & Wellness

iHerb, CVS, Walgreens, Rite Aid, Healthline — supplement & health product reviews

From Raw Feedback to Structured Intelligence

Our infrastructure doesn't just "copy-paste" text. We perform advanced data cleaning to ensure your analysis is accurate and actionable.

  • De-duplication: We remove duplicate reviews across different variants and listings.
  • Spam Filtering: Our logic identifies and flags bot-generated or low-quality reviews.
  • Currency & Unit Normalization: We ensure all numerical data is consistent for global analysis.
  • Language Detection: Multi-language support with automatic language tagging.
  • Entity Extraction: Identify product features, brand mentions, and competitor references within reviews.
{
  "product_id": "B08N5WRWND",
  "product_name": "Wireless Headphones Pro",
  "avg_rating": 4.8,
  "total_reviews": 1247,
  "reviews": [{
    "rating": 5,
    "text": "Incredible battery life...",
    "verified": true,
    "sentiment": "positive",
    "sentiment_score": 0.94,
    "date": "2025-03-15",
    "helpful_votes": 124
  }],
  "rating_distribution": {"5": 892, "4": 210, "3": 85, "2": 40, "1": 20}
}

Built for Sentiment Analysis & Insights

😊

Sentiment Analysis

Quantify customer satisfaction by categorizing feedback into positive, neutral, and negative sentiment scores with confidence metrics.

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Feature-Level Feedback

Pinpoint specific mentions of product quality, shipping speed, pricing, or customer service to see what's driving your ratings.

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Performance Tracking

Monitor declining product performance or sudden spikes in negative reviews to intervene before your brand reputation is impacted.

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Strategic Growth

Leverage competitor weaknesses found in their reviews to improve your own product, UX, and go-to-market strategies.

Who Uses This Data?

  • Brands & Manufacturers – Accelerate product improvement cycles with real customer feedback.
  • Retailers & Marketplaces – Real-time competitor benchmarking and assortment optimization.
  • Market Research Firms – Deep-dive consumer behavior analysis and trend identification.
  • AI / NLP Teams – High-quality sentiment model training data with verified labels.
  • Startups & SaaS – Powering review intelligence dashboards and customer insights platforms.
  • Investment Firms – Alternative data for due diligence and consumer sentiment tracking.
  • Restaurant Chains – Monitor food quality, service feedback, and location performance across delivery apps.

Why Choose ScraperScoop?

  • ✅ Authentic & Publicly Available Data
  • ✅ Scalable for Millions of Reviews
  • ✅ Clean, Analysis-Ready Datasets
  • ✅ Multi-Language Review Support (25+ languages)
  • ✅ Custom Dashboard & API Options
  • ✅ Long-Term Data Partnerships
  • ✅ 24/7 Support & SLA Backed
  • ✅ Sentiment Pre-Processing Available

Need Customer Review Data at Scale?

Unlock customer insights that drive better decisions and faster growth.

Frequently Asked Questions

Yes, we extract only publicly available, genuine customer reviews from the target platforms. We also tag and filter "verified purchase" reviews to help you distinguish authentic feedback.

Absolutely. We support daily, weekly, or real-time review tracking to help you stay on top of new feedback. Delta scraping ensures you only get new reviews after the initial historical extraction.

Yes. Our data is delivered clean and structured, specifically formatted for NLP and AI sentiment models. We can also provide pre-computed sentiment scores using our proprietary models.

Yes, we support global platforms across various regions including US, UK, Canada, Australia, Germany, France, India, and more. We can extract reviews in 25+ languages with automatic language detection.

Pricing depends on volume, frequency, and platform complexity. Contact us for a custom quote tailored to your specific requirements. We offer flexible plans from $199/month for startups to enterprise custom solutions.

Start Extracting Data Today

Tell us your requirements and get a custom quote within 15 minutes.

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