Google Play - Reviews Sentiment Analysis
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from $0.01 / 1,000 results
Google Play - Reviews Sentiment Analysis
Analyze thousands of Google Play Store reviews in seconds. Leverage the power of advanced LLMs (such as GPT-OSS 120B via Groq) to automatically extract Pros, Cons, and recurring themes, providing an actionable strategic report. Find out what your customers love or hate!
Pricing
from $0.01 / 1,000 results
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Developer
Fabio Borsotti
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12 hours ago
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Analyze thousands of Google Play Store reviews in seconds using cutting-edge Artificial Intelligence (Groq/LLMs). This Actor doesn't just fetch data; it acts as an automated market researcher by identifying strengths (PROS) and weaknesses (CONS) of your app or your competitors. Find out what your customers love or hate!
Key Features
Unlike standard scrapers, this tool provides actionable insights through a sophisticated AI pipeline:
- Intelligent Extraction: Leverages a high-performance Google Play scraper to retrieve the most recent user feedback.
- AI-Powered Map-Reduce: Processes reviews in chunks using ultra-fast LLMs for initial analysis and a high-reasoning model for the final synthesis.
- Theme Recognition: Automatically detects recurring themes (e.g., "login bugs", "intuitive UI") and quantifies their frequency.
- Executive Summary: Generates a final textual report that directly addresses your strategic questions.
How It Works
The Actor follows a professional three-stage workflow:
- Scraping: Triggers the
google-play-scraperto collect raw review data. - AI Analysis (Groq): Sends processed text to Groq for near-instant categorization of feedback into PROS and CONS.
- Synthesis: Aggregates the data into a "Top 5" list of strengths and weaknesses, followed by a detailed executive summary.
Input
The Actor accepts the following parameters:
| Field | Type | Default | Description |
|---|---|---|---|
| appId | String | - | The unique App ID (e.g., com.instagram.android). Required. |
| maxReviewsToProcess | Number | 1000 | Maximum number of reviews to analyze. |
| summaryPrompt | String | "Generates a summary..." | Specific instructions for the AI on what to focus on. |
Output Example
Results are saved to the dataset in a clean JSON format:
Pricing (Pay-per-Event)
This Actor uses a value-based pricing model. Instead of paying for computer resources (RAM/CPU), you only pay when you get a result.
- Trigger Event:
AnalisysReportCompleted - Cost: Charged only when the AI successfully generates and saves the final report to the dataset.
- Safety Net: You will not be charged if the scraper finds no reviews, if the AI API is down, or if the run is aborted before the final analysis is completed.
Use Cases
| Case | Description |
|---|---|
| Competitor Audit | Identify why users are leaving your competitors' apps and capitalize on their weaknesses. |
| Product Strategy | Prioritize your roadmap by focusing on the most requested features or most frequent bugs. |
| Ad Copywriting | Use real user language and praised features directly in your marketing materials for better conversion. |
| Sentiment Monitoring | Track how user perception changes after a major update or redesign. |
