Google Play Reviews AI Summarizer

What This Agent Does

This intelligent workflow automates the collection, analysis, and summarization of Google Play Store reviews for your mobile applications. It runs on a daily schedule to fetch fresh reviews and a weekly schedule to generate AI-powered summaries, storing all review data in a vector database for semantic search and analysis. By combining automated review collection with advanced AI summarization, this agent transforms raw user feedback into actionable insights delivered directly to your Slack channel.

Key benefits include:

• Automated daily review collection eliminates manual monitoring across multiple apps
• AI-powered summaries save hours of manual review reading and analysis
• Vector embeddings enable semantic search to find similar feedback patterns
• Weekly Slack reports keep your team informed without extra effort
• Scalable architecture handles unlimited apps and review volumes

This workflow is perfect for mobile app teams who need to stay on top of user feedback, product managers tracking feature requests and bug reports, and support teams identifying common user pain points.

Who Is It For

This agent is designed for:

• Mobile app developers and publishers managing one or more apps on Google Play Store
• Product management teams who need regular insights into user sentiment and feedback
• Customer success teams wanting to identify and address user concerns proactively
• Growth teams tracking app reception and user satisfaction metrics
• QA teams monitoring bug reports and technical issues from real users

No coding experience is required—the workflow handles all technical complexity automatically.

Required Integrations

Pinecone

Why it's needed: Pinecone is a vector database that stores embeddings of your reviews, enabling semantic search and similarity matching. This allows you to find related reviews, identify trends, and power intelligent summarization.

Setup steps:

1. Visit pinecone.io and create a free account
2. Create a new index with these specifications:
   • Name: app-reviews (or your preferred name)
   • Dimension: 1024 (required for multilingual-e5-large model)
   • Metric: cosine
   • Pod type: starter (sufficient for most use cases)
3. Wait for the index to initialize (typically 1-2 minutes)
4. Navigate to API Keys in your Pinecone dashboard
5. Copy your API Key and Environment (e.g., us-east1-aws)
6. In TaskAGI, add a new Pinecone integration:
   • Paste your API Key
   • Enter your Environment
   • Specify your Index Name (app-reviews)

Configuration in TaskAGI: When configuring Pinecone nodes, ensure the index dimension matches the embedding model output (1024 for multilingual-e5-large).

OpenAI

Why it's needed: OpenAI's GPT-4o-mini model generates intelligent, human-readable summaries of your app reviews, extracting key themes, sentiment, and actionable insights.

Setup steps:

1. Go to platform.openai.com and sign in (create an account if needed)
2. Click API keys in the left sidebar
3. Select Create new secret key
4. Copy the generated key immediately (you won't see it again)
5. Set up billing in your OpenAI account to enable API access
6. In TaskAGI, add a new OpenAI integration:
   • Paste your API Key
   • Verify the model is set to gpt-4o-mini (cost-effective and powerful)

How to obtain credentials: Your API key is available in the OpenAI dashboard under API keys. Keep this key secure and never share it publicly.

Configuration in TaskAGI: The workflow uses GPT-4o-mini for cost efficiency. If you need more advanced analysis, you can upgrade to gpt-4 in the "Generate AI Summary" node, though this will increase costs.

Slack

Why it's needed: Slack integration delivers your weekly review summaries directly to your team's communication hub, ensuring everyone stays informed without checking external dashboards.

Setup steps:

1. Open your Slack workspace and navigate to Settings & administration → Manage apps
2. Search for TaskAGI or create a custom app:
   • Click Create New App → From scratch
   • Name it TaskAGI Review Agent
   • Select your workspace
3. Under OAuth & Permissions, add these Bot Token Scopes:
   • chat:write
   • chat:write.public
4. Click Install to Workspace and authorize
5. Copy your Bot User OAuth Token (starts with xoxb-)
6. In TaskAGI, add a new Slack integration:
   • Paste your Bot Token
   • Specify the Channel where summaries should post (e.g., #app-reviews)

Configuration in TaskAGI: Ensure your Slack bot has permission to post in your target channel. If using a private channel, add the bot as a member first.

Configuration Steps

Step 1: Define Your App Bundle IDs

In the "Set App Bundle IDs" node:

• Enter your Google Play app bundle IDs as a comma-separated list or JSON array
• Example: com.example.myapp,com.example.otherapp
• These IDs are found in your Google Play Store URLs (e.g., play.google.com/store/apps/details?id=com.example.myapp)

Step 2: Configure Daily Review Fetching

The "Daily Trigger - Fetch Reviews" node automatically runs every 24 hours. No configuration needed—it will execute at your specified time.

In the "Fetch Reviews from Google Play" node:

• Ensure your Google Play API credentials are configured
• The node will loop through each app bundle ID and fetch new reviews
• Reviews are automatically filtered to avoid duplicates

Step 3: Set Up Vector Embeddings

The "Generate Embedding" nodes use the multilingual-e5-large model to convert review text into 1024-dimensional vectors. This happens automatically for:

• Each review fetched daily
• Query summaries generated weekly

No manual configuration required—the model is pre-selected and optimized.

Step 4: Configure Weekly Summarization

The "Weekly Trigger - Generate Summary" node runs once per week (configure your preferred day/time).

In the "Set App Details for Summary" node:

• Specify the same app bundle IDs from Step 1
• This ensures summaries cover all your apps

In the "Generate AI Summary" node:

• The prompt is pre-configured to analyze reviews for:
  • Common themes and feature requests
  • User sentiment and satisfaction
  • Bug reports and technical issues
  • Actionable recommendations
• Customize the prompt if you need different analysis focus

Step 5: Configure Slack Delivery

In the "Send Summary to Slack" node:

• Channel: Select your target Slack channel (e.g., #app-reviews)
• Message format: The summary is automatically formatted as a readable Slack message
• Mention options: Add @channel or specific user mentions if needed

Data Flow Summary

The workflow follows this logical sequence:

1. Daily cycle: Trigger → Fetch reviews → Generate embeddings → Store in Pinecone
2. Weekly cycle: Trigger → Query Pinecone for reviews → Generate summary → Send to Slack
3. Conditional logic: If no reviews exist, the workflow gracefully skips processing and continues

Testing Your Agent

Test 1: Verify Integration Connections

1. In TaskAGI, open your workflow and click Test
2. Verify each integration shows a green checkmark:
   • Pinecone connection
   • OpenAI connection
   • Slack connection
3. Expected result: All integrations authenticate successfully

Test 2: Run Daily Review Fetch

1. Click Run Now on the "Daily Trigger - Fetch Reviews" node
2. Monitor the execution in real-time:
   • "Fetch Reviews from Google Play" should return review data
   • "Generate Embedding" should process each review
   • "Upsert to Pinecone" should confirm vectors stored
3. Success indicator: Node execution completes without errors; Pinecone shows updated vector count

Test 3: Verify Pinecone Storage

1. Log into your Pinecone dashboard
2. Check your app-reviews index:
   • Vector count should increase after each daily run
   • Metadata should include review text, app ID, and timestamp
3. Expected result: Vectors are properly indexed and queryable

Test 4: Run Weekly Summary Generation

1. Click Run Now on the "Weekly Trigger - Generate Summary" node
2. Monitor execution:
   • "Query Pinecone for Reviews" retrieves relevant reviews
   • "Generate AI Summary" processes reviews through GPT-4o-mini
   • "Send Summary to Slack" posts the message
3. Success indicator: Summary appears in your Slack channel within 30 seconds

Test 5: Validate Slack Message

1. Check your Slack channel for the summary message
2. Verify it contains:
   • App name and review period
   • Key themes and sentiment analysis
   • Specific feature requests or bug reports
   • Actionable recommendations
3. Expected result: Well-formatted, readable summary with actionable insights

Troubleshooting Tips

• No reviews fetched: Verify Google Play API credentials and app bundle IDs are correct
• Embedding errors: Ensure Pinecone index dimension is set to 1024
• Slack message fails: Confirm bot token is valid and has chat:write permission
• Empty summaries: Check that reviews exist in Pinecone from the daily fetch

Your agent is now ready to automate review analysis and keep your team informed! 🚀