Google Play Review & Bug Report Extractor (AI-Powered)
Pricing
from $3.30 / 1,000 results
Google Play Review & Bug Report Extractor (AI-Powered)
Extracts Google Play reviews and automatically converts them into structured bug reports. It identifies technical issues, assigns severity, suggests owners (Product/Engineering), and summarizes user complaints into actionable insights. Perfect for automating your QA and product feedback loop.
Pricing
from $3.30 / 1,000 results
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0.0
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Developer

Apilab
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0
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2
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1
Monthly active users
9 days ago
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Experience the next generation of mobile product management. This Actor doesn't just scrape raw text; it uses AI to triage feedback, identify technical bugs, and categorize UX issues directly from Google Play Store reviews.
Transform thousands of messy user comments into a structured, prioritized backlog for your engineering and product teams.
🚀 Why use this Google Play Scraper?
Standard scrapers leave you with a mountain of text. This AI-powered tool does the heavy lifting for you:
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Automatic Bug Detection: Separates "I don't like this feature" from "The app crashed on my Pixel 7."
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Severity Scoring: Automatically assigns severity (Critical, Major, Minor) so you can fix what matters first.
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Actionable Insights: Provides "Steps to Reproduce" and "Expected vs. Actual Behavior" generated by AI analysis of user complaints.
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Team Routing: Suggests whether an issue should be handled by Product, Engineering, or Customer Success.
✨ Key Features
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Deep Extraction: Scrapes reviews, ratings, app versions, and device metadata.
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AI Sentiment Analysis: Understand the "why" behind the rating.
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Triage Metadata: Includes
confidencescores andactionabilitystatus for every review. -
Customizable Filtering: Filter by date, rating, or keyword before the AI analysis to save on compute costs.
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Export Ready: Seamlessly integrates with Jira, GitHub Issues, or Slack via Apify integrations.
📖 How to use
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Find your App ID: Locate your app on the Google Play Store (e.g.,
com.spotify.music). -
Set your parameters: Choose the maximum number of reviews and the language/country.
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Run & Analyze: The Actor will crawl the store and run each review through a specialized LLM logic to identify bugs.
📥 Input Example
{"url": "https://play.google.com/store/apps/details?id=com.spotify.music"}
📤 Output Example
The Actor provides a rich JSON output designed for automation:
{"appId": "com.spotify.music","appName": "Spotify: Music and Podcasts","reviewRating": 1,"reviewDate": "2025-12-19T08:10:00.720Z","appVersion": "9.1.2.1253","issueCategory": "policy_complaint","issueType": "ux","severity": "major","confidence": 0.96,"actionability": "product_decision_required","developerFixRequired": false,"recommendedOwner": "product","summary": "Free tier prevents selecting specific songs, perceived as overly restrictive.","expectedBehavior": "User should be able to select specific songs.","actualBehavior": "User is forced into shuffled tracks.","aiNotes": "Dissatisfaction with product policy rather than a technical defect."}
💡 Use Cases
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QA Teams: Monitor new app releases for regression bugs immediately after launch.
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Product Managers: Discover "hidden" feature requests and friction points in the UX.
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Competitor Research: Analyze a competitor’s app to see where their users are frustrated and win them over.
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Customer Support: Identify trending issues before they overwhelm your support tickets.
⚖️ License
This Actor is provided "as-is" for data extraction and analysis. Please ensure your use of the data complies with the Google Play Terms of Service.