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Review Scraping (URL-Based)

Review Scraping Integration

Coming Soon

Automatically scrape and analyze customer reviews from any URL—App Store, Google Play, G2, Capterra, Trustpilot, Amazon, and more.

Why Review Scraping?

Your customers are leaving valuable feedback across dozens of platforms. Manually copying reviews into spreadsheets is tedious and error-prone. Review scraping brings all that feedback into one place for AI analysis.

App StoresApp Store, Google Play
B2B Review SitesG2, Capterra, TrustRadius
Consumer ReviewsTrustpilot, Yelp, Amazon

How It Will Work

1

Paste the Review Page URL

Simply paste the URL of your product's review page. FeedPulse AI will automatically detect the platform and extract reviews.

https://apps.apple.com/app/your-app/id123456789
2

Configure Scraping Options

Choose how many reviews to fetch and how often to check for new ones.

Review CountLast 100, 500, 1000, or All
Auto-RefreshDaily, Weekly, or Manual
3

AI Analysis Runs Automatically

Once reviews are scraped, our AI instantly analyzes sentiment, themes, urgency, and drivers—just like any other feedback source.

What You'll Get

Rating Trends

See how your app store rating changes over time and what's driving it up or down.

🔍

Theme Detection

Automatically cluster reviews by topic: "crashes", "slow performance", "love the design", etc.

🚨

Urgency Alerts

Get notified when negative review velocity spikes—catch issues before they tank your rating.

📊

Competitor Comparison

Scrape competitor reviews too and compare what customers love about them vs. you.

Supported Platforms

App Store
Google Play
G2
Capterra
Trustpilot
TrustRadius
Yelp
Amazon

All platforms shown are planned for initial launch. More will be added based on user feedback.

Be the First to Know

Review scraping is currently in development. When it launches, all Pro and Business users will have immediate access.

✅ Free users: 1 URL, 100 reviews
✅ Pro users: 5 URLs, unlimited reviews
✅ Business: Unlimited URLs + competitor tracking
Review Scraping (URL-Based) Tutorial