Reviews Datasets

Access High-Quality, Structured Reviews Data from Leading Platforms

Crawlfeeds offers curated reviews datasets that power research, machine learning models, market analysis, and competitive intelligence. Whether you're studying user sentiment on mobile apps, analyzing customer behavior for consumer goods, or extracting insights from travel or recipe reviews — we provide comprehensive, up-to-date review data in clean, ready-to-use formats.

📦 Available Reviews Datasets

1. Amazon Product Reviews Dataset

A massive repository of product feedback across categories like electronics, home, fashion, and more — scraped from Amazon.
Includes: Review text, product ASIN, category, review date, reviewer ID (masked), verified purchase flag, helpful votes.

2. Google Play Store Reviews Dataset

User-generated reviews from Android app users across all categories on Google Play.
Includes: App name, app ID, version, country, review content, star rating, review date.

3. iOS App Store Reviews Dataset

Apple App Store reviews covering a wide range of mobile apps. Ideal for app analytics and performance evaluation.
Includes: App ID, region, review body, star rating, app version, reviewer alias, timestamp.

4. Trustpilot Reviews Dataset

B2B and B2C consumer reviews from Trustpilot — ideal for sentiment tracking and brand trust analysis.
Includes: Business name, review text, reviewer alias (if available), star rating, category, review timestamp.

5. Electronics Reviews Dataset

Focused review data for electronics: laptops, smartphones, tablets, accessories, and wearables.
Includes: Product title, brand, specs, review content, reviewer profile, date.

6. Beauty Products Reviews Dataset (Sephora, Ulta)

User reviews for cosmetics, skincare, and personal care products.
Includes: Product brand, product category, skin type (when shared), review body, reviewer rating, date.

7. Hotel Reviews Dataset (Tripadvisor & Booking.com)

Travel-related reviews for hotels and accommodations from global users.
Includes: Hotel name, location, traveler type, review body, review date, reviewer nationality (if available).

8. Recipe Reviews Dataset

Customer reviews and comments on online recipes from popular cooking platforms.
Includes: Recipe name, cuisine type, review text, rating (if available), reviewer experience (e.g. "family loved it", "too salty").

📊 Use Cases for Reviews Datasets

  • Training sentiment analysis and NLP models
  • Tracking brand perception across markets
  • Building recommender systems or review summarizers
  • Conducting user behavior analysis
  • Identifying emerging trends in products or services

🚀 Why Choose Crawlfeeds?

  • Regularly Updated: All datasets are refreshed frequently to ensure freshness.
  • Structured & Clean: JSON, CSV, or custom formats — ready for data science workflows.
  • Custom Filters: Filter by date, product category, region, star rating, or keywords.
  • Ethically Sourced: Public data only; compliant with platform policies.

🔗 Explore More Ratings and Reviews Datasets

Looking for specific datasets across categories and industries?

👉 Browse our full collection of Ratings and Reviews Datasets to explore reviews for electronics, apps, beauty products, hospitality, and more.
🔍 View All Reviews Datasets by Category
We continuously update our inventory to include the latest and most relevant reviews from trusted platforms.