Написание историй о компаниях из LinkedIn через Bright Data и Gemini

# Generate Company Stories from LinkedIn with Bright Data & Google Gemini ## Overview Automated workflow: Generate Company Stories from LinkedIn with Bright Data & Google Gemini. This workflow integrates 12 different services: stickyNote, httpRequest, wait, textSplitterRecursiveCharacterTextSplitter, lmChatGoogleGemini. It contains 31 nodes and follows best practices for error handling and security. ## Workflow Details - Total Nodes: 31 - Node Types: 12 - Error Handling: ✅ Implemented - Security: ✅ Hardened (no sensitive data) - Documentation: ✅ Complete ## Node Breakdown - When clicking ‘Test workflow’: manualTrigger - Google Gemini Chat Model: lmChatGoogleGemini - Default Data Loader: documentDefaultDataLoader - Recursive Character Text Splitter: textSplitterRecursiveCharacterTextSplitter - If Node: if - Set Snapshot Id: set - Download Snapshot: httpRequest - Set LinkedIn URL: set - Google Gemini Chat Model1: lmChatGoogleGemini - Check on the errors: if - ... and 21 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