ManualTrigger Automate

For ManualTrigger Automate, streamline your Google Keep note exports by integrating file extraction, AI processing, and Google Sheets updates. Automatically filter and process notes, extract key amounts, and organize data efficiently, enhancing productivity and ensuring accurate record-keeping.

7/8/2025
19 nodes
Complex
manualcomplexextractfromfilelangchainfiltersticky notegoogle drivesplitinbatchesgooglesheetsadvancedfilesstoragelogicconditional
Categories:
Complex WorkflowManual TriggeredData Processing & Analysis
Integrations:
ExtractFromFileLangChainFilterSticky NoteGoogle DriveSplitInBatchesGoogleSheets

Target Audience

This workflow is ideal for:
- Individuals looking to automate the extraction and processing of their Google Keep notes.
- Small business owners who need to track expenses and manage financial data efficiently.
- Data analysts who want to streamline data collection from various sources into Google Sheets for analysis.
- Developers seeking to integrate AI capabilities into their workflows for enhanced data processing.

Problem Solved

This workflow addresses the challenge of manually extracting and organizing data from Google Keep notes into Google Sheets. It automates the process of:
- Filtering notes based on specific criteria, such as whether they are archived or contain certain keywords.
- Downloading relevant files and processing their contents using AI for extracting important information like amounts in euros.
- Exporting the processed data directly into a Google Sheet for easy access and analysis.

Workflow Steps

  • Manual Trigger: The workflow starts when the user clicks 'Test workflow'.
    2. Search in 'Keep' folder: It searches for files in the specified Google Drive folder containing Google Keep notes.
    3. Loop every 10 items: The workflow processes the found notes in batches of 10 to manage resources effectively.
    4. Filter by JSON extension: It checks if the files are in JSON format before attempting to download them.
    5. Download the files: Relevant files are downloaded from Google Drive.
    6. Check if archived: Each note is evaluated to determine if it is archived or not.
    7. AI Processing: For non-archived notes, an AI model processes the content to extract specific information, such as amounts in euros.
    8. Set fields for export: The extracted information is organized into a structured format for export.
    9. Add to Google Sheet: Finally, the structured data is appended or updated in a designated Google Sheet, allowing for easy tracking and further analysis.

    • Customization Guide

    Users can customize this workflow by:
    - Modifying the search parameters: Change the folder ID in the 'Search in "Keep" folder' node to point to a different Google Drive folder.
    - Adjusting filter conditions: Update the filter conditions in the 'If is archived is false' and 'Filter' nodes to match different keywords or criteria based on their needs.
    - Changing AI processing logic: Modify the prompt in the 'Put some AI treatment here if you need it' node to extract different types of information from the notes.
    - Updating Google Sheet details: Change the sheet name and document ID in the 'Add to google sheet' node to direct the output to a different Google Sheet.