Automated Data Processing Pipeline with AI and Google Sheets

Abhishek

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.