Google Play Review & Bug Report Extractor (AI-Powered) avatar
Google Play Review & Bug Report Extractor (AI-Powered)

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from $3.30 / 1,000 results

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Google Play Review & Bug Report Extractor (AI-Powered)

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

(0)

Developer

Apilab

Apilab

Maintained by Community

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0

Bookmarked

2

Total users

1

Monthly active users

9 days ago

Last modified

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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:

  • Automatic Bug Detection: Separates "I don't like this feature" from "The app crashed on my Pixel 7."

  • Severity Scoring: Automatically assigns severity (Critical, Major, Minor) so you can fix what matters first.

  • Actionable Insights: Provides "Steps to Reproduce" and "Expected vs. Actual Behavior" generated by AI analysis of user complaints.

  • Team Routing: Suggests whether an issue should be handled by Product, Engineering, or Customer Success.

✨ Key Features

  • Deep Extraction: Scrapes reviews, ratings, app versions, and device metadata.

  • AI Sentiment Analysis: Understand the "why" behind the rating.

  • Triage Metadata: Includes confidence scores and actionability status for every review.

  • Customizable Filtering: Filter by date, rating, or keyword before the AI analysis to save on compute costs.

  • Export Ready: Seamlessly integrates with Jira, GitHub Issues, or Slack via Apify integrations.

📖 How to use

  1. Find your App ID: Locate your app on the Google Play Store (e.g., com.spotify.music).

  2. Set your parameters: Choose the maximum number of reviews and the language/country.

  3. 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

  • QA Teams: Monitor new app releases for regression bugs immediately after launch.

  • Product Managers: Discover "hidden" feature requests and friction points in the UX.

  • Competitor Research: Analyze a competitor’s app to see where their users are frustrated and win them over.

  • 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.