Strukturierte Daten mit OpenAI in Google Sheets extrahieren

# Manualtrigger Workflow ## Overview Automated workflow: Manualtrigger Workflow. This workflow integrates 8 different services: stickyNote, httpRequest, splitOut, informationExtractor, stopAndError. It contains 11 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 11 - Node Types: 8 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When clicking "Test workflow": manualTrigger - Split Out: splitOut - Save to Google Sheets: googleSheets - OpenAI Chat Model: lmChatOpenAi - Information Extractor: informationExtractor - Jina Fetch: httpRequest - Sticky Note5: stickyNote - Error Handler: stopAndError - Error Handler for b8aa573d: stopAndError - Error Handler for a63c3ab3: stopAndError - ... and 1 more nodes ## Usage Instructions 1. Configure Credentials: Set up all required API keys and credentials 2. Update Variables: Replace any placeholder values with actual data 3. Test Workflow: Run in test mode to verify functionality 4. Deploy: Activate the workflow for production use ## Security Notes - All sensitive data has been removed or replaced with placeholders - Error handling is implemented for reliability - Follow security best practices when configuring credentials ## Troubleshooting - Check error logs if workflow fails - Verify all credentials are properly configured - Ensure all required services are accessible