Reviews Datasets

Access structured, high-quality customer reviews and ratings data from the world's leading platforms — Amazon, Google Play, Trustpilot, App Store, and more.

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Reviews Datasets

Structured Reviews Data at Scale

Customer reviews are one of the most valuable sources of unstructured consumer intelligence available online. Our reviews datasets give you ready-to-use, clean, structured data so you can focus on insights — not scraping.

  • ✓ Millions of reviews across major platforms
  • ✓ Verified ratings, review text, and reviewer metadata
  • ✓ Sentiment-ready structured fields
  • ✓ Updated regularly with fresh review data
  • ✓ Available via CSV, JSON, or API
Key Data Fields
Review ID
Reviewer Name
Star Rating
Review Title
Review Body
Verified Purchase
Review Date
Helpful Votes
Product/Service ID
Product Name
Category
Platform Source
Response by Seller
Language
Sentiment Score
Review Images

Review Datasets by Platform

Platform-specific datasets with consistent structure and high coverage

🛒
Amazon Reviews Dataset
Most Popular

Millions of product reviews from Amazon including ratings, verified purchase status, helpful votes, reviewer profiles, and review dates across all major categories.

📱
Google Play Reviews
Mobile

App store reviews from Google Play including app ratings, user reviews, developer replies, thumbs up counts, and review timestamps for any app.

🍎
iOS App Store Reviews
Mobile

Reviews and ratings from Apple's App Store with review text, star ratings, app version, device type, and user display names.

⭐
Trustpilot Reviews Dataset
B2B

Business reviews from Trustpilot including company reviews, TrustScore, review count, categories, verified reviews, and business replies.

💻
Electronics Reviews
Niche

In-depth reviews for electronics and tech products from major retailers — laptops, phones, cameras, audio equipment, and smart home devices.

💄
Beauty & Skincare Reviews
Niche

Product reviews from beauty platforms and retailers including Sephora, Ulta, and major brands — with skin type, age range, and usage details.

🏨
Hotel & Travel Reviews
Travel

Hospitality reviews from travel platforms covering hotels, resorts, and vacation rentals with location, price tier, amenities ratings, and traveler type.

🍳
Recipes & Food Reviews
Food

Recipe ratings and reviews from major food sites including ingredients used, cooking difficulty, dietary tags, and user substitutions.

What You Can Build with Reviews Data

🎯
Sentiment Analysis

Train NLP models on millions of real consumer reviews to classify sentiment, detect topics, and extract opinions at scale.

📊
Competitive Intelligence

Monitor competitor product ratings, review volume, and common complaints to benchmark your product against alternatives.

🔍
Product Research

Identify unmet customer needs, common pain points, and feature requests from authentic review data before building.

🤖
LLM & AI Training

Use real-world review text as fine-tuning data for language models, recommendation systems, and review summarization tools.

📈
Brand Monitoring

Track brand mentions, rating trends, and customer satisfaction metrics over time across multiple platforms.

🛡️
Fake Review Detection

Build classifiers to identify suspicious review patterns, review bombing, and inauthentic reviewer behavior.

Why Choose CrawlFeeds Reviews Data?

  • Legal & Compliant: All data collected following platform terms and applicable data regulations.
  • Ready-to-Use Format: Clean, normalized, deduplicated datasets — no preprocessing required.
  • Massive Scale: Datasets ranging from thousands to tens of millions of reviews per source.
  • Regular Updates: Monthly and quarterly refresh cycles so your models stay current.
  • Multi-Platform: Consistent schema across platforms so you can merge and compare easily.
  • Custom Filters: Filter by category, date range, star rating, language, or region on request.
  • Fast Delivery: Delivered within hours via secure download link or cloud storage.
  • Dedicated Support: Direct technical support for integration questions and custom requests.

Frequently Asked Questions

We cover Amazon, Google Play, iOS App Store, Trustpilot, Yelp, G2, Capterra, Sephora, Ulta, Booking.com, TripAdvisor, and more. Additional platforms available on request.

Most datasets are refreshed monthly. Some high-velocity sources like Amazon and Google Play are updated weekly. You'll receive the latest snapshot at time of purchase.

Yes — we offer custom filtered datasets. Just let us know the product category, ASIN, brand, or platform and we'll prepare a targeted extract.

Our datasets contain only publicly visible review text and metadata. No private user data is collected. Reviewer names are public display names only.

Datasets are available as CSV, JSON, and Parquet. API access is also available for real-time or streaming use cases.

Yes — this is one of the most common use cases. The clean structured format and scale of our datasets make them ideal for training sentiment models, recommendation engines, and LLMs.

Ready to Access Reviews Data?

Get clean, structured customer reviews data from Amazon, Trustpilot, Google Play, and more. Start your sentiment analysis, competitive monitoring, or AI training project today.

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