Automated Data Processing Pipeline with AI and Google Sheets
Abhishek Choudhary
Webhook to Google Sheets via ChatGPT
Automated Data Processing Pipeline
This Make.com workflow transforms raw webhook data into structured insights using AI, then stores the results in Google Sheets for easy analysis.
Key Features
Instant Data Processing: Webhooks trigger immediate AI analysis
Smart Transformations: ChatGPT cleans, categorizes, and summarizes input
Flexible Storage: Outputs to Google Sheets with timestamps
Error Resilient: Handles malformed data gracefully
How It Works
Trigger: Webhook receives data (JSON/form submissions)
Processing:
Validates payload structure
Routes through ChatGPT for transformation
Formats output for spreadsheet storage
Output: Creates new row in Google Sheets with:
Raw input data
Processed results
Processing timestamp
Integration Points
Service Function Webhooks Data ingestion OpenAI Content transformation Google Sheets Structured storage
Business Value
Saves 5+ hours/week on manual data entry
Improves data quality with AI standardization
Real-time analysis without developer dependency
Technical Highlights
No-code API orchestration
Dynamic prompt engineering
Data validation safeguards
Scalable to multiple input sources
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Posted Jun 7, 2025
Automated data processing pipeline using AI and Google Sheets.
