Product Review Aggregator

Aggregate reviews from Amazon, Google, Yelp, G2, Trustpilot, and more in one place. Sentiment analysis, keyword extraction, and side-by-side comparisons.

One review site doesn't tell the full story. Customers leave reviews on Amazon, Google, Yelp, G2, Trustpilot, Facebook, and niche platforms. This actor pulls reviews from all major sources, normalizes the data, runs sentiment analysis, extracts complaint patterns, and gives you a complete picture of what people actually think about products.

⚡ What You Get

Multi-Platform Review Analysis
├── Product: "Slack Pro Plan"
├── Total Reviews Aggregated: 8,347
├── Platform Breakdown
│   ├── G2: 3,204 reviews (4.5★ avg)
│   ├── Trustpilot: 2,156 reviews (4.2★ avg)
│   ├── Amazon: 1,842 reviews (4.1★ avg)
│   ├── Google Play: 892 reviews (4.3★ avg)
│   └── Capterra: 253 reviews (4.6★ avg)
├── Unified Sentiment Distribution
│   ├── Positive (5-4 stars): 72%
│   ├── Neutral (3 stars): 16%
│   └── Negative (2-1 stars): 12%
├── Most Common Praise Themes 👈 What drives conversions
│   ├── "Easy to use" (847 mentions)
│   ├── "Great integrations" (634 mentions)
│   ├── "Excellent support" (521 mentions)
│   └── "Team collaboration works smoothly" (412 mentions)
├── Most Common Complaints
│   ├── "Pricing is too high" (783 mentions)
│   ├── "Searching old messages is slow" (456 mentions)
│   ├── "Limited customization" (289 mentions)
│   └── "Mobile app lags sometimes" (201 mentions)
├── Competitive Positioning
│   ├── vs Microsoft Teams: 23% better rated
│   ├── vs Discord: 8% higher satisfaction
│   └── vs Google Chat: 15% more reviews (more adoption)
└── Emerging Trends (Last 90 days)
    ├── AI Features: 34% of recent mentions
    ├── Sentiment Trend: Stable (+2%)
    └── New Complaint: "AI features feel gimmicky" (67 new mentions)

🎯 Use Cases

• Product Teams: What are customers actually complaining about? Prioritize features based on complaint frequency, not just your roadmap ideas.
• Marketing: What words do happy customers use? Use that language in your copy. What complaints exist? Address them in messaging.
• Sales Enablement: Prospect asking about pricing? Show them G2 reviews praising value. Competitor's new feature catching traction? Find reviews comparing products.
• Reputation Management: Catch negative trends early. Are complaints clustering around one issue? Investigate before it goes viral.
• Competitive Analysis: How do customers compare you to alternatives? What's your advantage? Where are you losing?

📊 Sample Output

{
  "product_name": "Slack Pro Plan",
  "scan_timestamp": "2024-02-15T10:30:00Z",
  "total_reviews": 8347,
  "sources": [
    {
      "source": "G2",
      "review_count": 3204,
      "average_rating": 4.5,
      "rating_distribution": {
        "5_star": 68,
        "4_star": 22,
        "3_star": 7,
        "2_star": 2,
        "1_star": 1
      }
    },
    {
      "source": "Trustpilot",
      "review_count": 2156,
      "average_rating": 4.2
    }
  ],
  "unified_sentiment": {
    "positive": 72,
    "neutral": 16,
    "negative": 12
  },
  "praise_themes": [
    {
      "theme": "Easy to use",
      "mention_count": 847,
      "sources": ["G2", "Trustpilot", "Amazon"]
    },
    {
      "theme": "Great integrations",
      "mention_count": 634,
      "confidence": 0.94
    }
  ],
  "complaint_themes": [
    {
      "complaint": "Pricing is too high",
      "mention_count": 783,
      "sources": ["G2", "Trustpilot"],
      "recent_trend": "stable"
    },
    {
      "complaint": "Searching old messages is slow",
      "mention_count": 456,
      "recent_trend": "increasing"
    }
  ],
  "reviews": [
    {
      "source": "G2",
      "rating": 5,
      "title": "Best team communication tool for remote work",
      "body": "Love how easy it is to set up channels and invite people...",
      "author": "john_tech42",
      "published_date": "2024-02-10",
      "sentiment": "positive",
      "keywords": ["remote work", "easy setup", "communication"]
    }
  ],
  "competitive_comparison": [
    {
      "competitor": "Microsoft Teams",
      "sentiment_differential": 23,
      "our_advantage": "Better UX and integrations"
    }
  ],
  "trends": [
    {
      "period": "90_days",
      "theme": "AI features",
      "mention_trend": "+340%"
    }
  ]
}

Field Descriptions:

• sources: Review count and average rating from each platform
• unified_sentiment: Sentiment distribution across all reviews
• praise_themes: What customers consistently praise (investment priorities)
• complaint_themes: What customers complain about (roadmap priorities)
• competitive_comparison: How you're rated vs direct competitors
• trends: Emerging themes over time (spot shifts early)

🔗 Integrations & Automation

Slack Alerts: New negative review trending on G2? Alert your team before it becomes a problem.

Email Weekly Digest: Summary of top praise themes, emerging complaints, and competitive shifts.

Webhook to CRM: Append review sentiment to prospect profiles. Show inbound teams what's resonating.

MCP Compatible: Feed review data to AI agents for automated insights. Let Claude write marketing copy based on real customer language.

REST API: Daily scans, build dashboards, track NPS trends over time.

See integration docs →

🔌 Works Great With

• Amazon Product Research — Reviews are one part of Amazon data. Combine with pricing, BSR, competitor analysis.
• Reddit Topic Monitor — Reddit is where unfiltered opinions live. Cross-reference with polished review sites for full picture.
• Competitive Intelligence Engine — Competitor reviews are part of broader competitive landscape.
• Job Board Aggregator — If reviews mention "terrible support," check if your competitor is hiring support staff.

💰 Cost & Performance

Typical run: 5,000 reviews from 5 platforms, aggregated and analyzed in 4 minutes for ~$4.20.

That's $0.00084 per review — cheaper than one person reading five reviews.

Compare to manual: One person manually compiling reviews from 5 platforms takes 6 hours minimum. At $30/hour, that's $180. We do it in 4 minutes for $4.20. You're saving $175.80.

🛡️ Built Right

• Multi-source parsing handles different HTML structures and data formats
• Smart deduplication prevents counting same review twice across platforms
• Sentiment analysis tuned for product reviews (not general text)
• Keyword extraction identifies themes automatically
• Rating normalization (Google stars vs Trustpilot scale)
• Trend detection spots emerging complaints before they peak

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Fresh data. Zero guesswork. Be the first to know.

📧 Email alerts · 🔗 Webhook triggers · 🤖 MCP compatible · 📡 API access

Built by Creator Fusion — OSINT tools that actually work.