Extract and summarize customer reviews with Gemini AI
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Workflow Description
Automated workflow that processes review texts through Google Gemini to identify key points, extract sentiment, and generate structured summaries. Uses LLM chains to analyze content semantically and organize findings into actionable insights.
How it works
- 1.Trigger workflow with review text input
- 2.Process text through Gemini LLM chain for semantic analysis
- 3.Extract key themes, sentiment, and critical phrases
- 4.Parse and structure extracted data into organized format
- 5.Merge results and deliver final summary output
Use cases
- Automatically summarize customer feedback from multiple review platforms
- Analyze sentiment and identify recurring product issues across reviews
- Generate executive summaries from large volumes of customer feedback
Requirements
- Active Google Cloud account with Gemini API enabled
- Review text in clear, readable format for processing
- Storage or queue system to archive summarized review outputs
Service Value
Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.
Apps Used
Details
How to Use
- 1.Click "Download Template"
- 2.Open your n8n dashboard
- 3.Go to Workflows > Import from File
- 4.Select downloaded file and configure credentials
Nodes Used (10)
When clicking ‘Test workflow’
Manual Trigger
Sticky Note1
Sticky Note
Sticky Note
Sticky Note
Set Yelp URL with the Bright Data Zone
Set
HTTP Request to fetch the Yelp Business Reviews
HTTP Request
Google Gemini Chat Model
Gemini Model
Structured Output Parser
Output Parser Structured
Summarization Chain
Chain Summarization
Merge
Merge
Webhook Notifier for the merged response
HTTP Request
Google Gemini Chat Model for Summarization
Gemini Model
Structured Data Extractor
LLM Chain
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