LangChain Automate

用于LangChain,自动化处理发票邮件,提取关键信息并导出到Google Sheets,节省时间和减少错误。通过集成Gmail和LlamaParse,确保高效的数据提取和整理,支持每分钟监控新邮件,处理复杂PDF文档,提升工作效率。

7/8/2025
26 nodes
Complex
manualcomplexlangchainsticky notegmailtriggergooglesheetswaitgmailsplitoutaggregateadvancedapiintegrationlogicroutingconditional
Categories:
Communication & MessagingComplex WorkflowManual TriggeredData Processing & Analysis
Integrations:
LangChainSticky NoteGmailTriggerGoogleSheetsWaitGmailSplitOutAggregate

Target Audience

This workflow is ideal for businesses and individuals who frequently handle invoice processing, particularly those who:
- Receive invoices via email with PDF attachments.
- Need to automate data extraction from invoices to reduce manual entry errors.
- Use Google Sheets for record-keeping and reconciliation.
- Want to ensure invoices are processed without duplication, maintaining data integrity.

Problem Solved

This workflow addresses the challenge of managing invoice processing efficiently by:
- Automating the extraction of crucial invoice data such as invoice date, supplier details, and total amounts.
- Reducing the time spent on manual data entry and minimizing the risk of errors associated with it.
- Ensuring that invoices are not processed multiple times by implementing a labeling system in Gmail.

Workflow Steps

  • Trigger: The workflow is manually triggered to start processing invoices.
    2. Receive Invoices: It listens for incoming emails from a specified sender with PDF attachments.
    3. Filter Emails: The workflow checks if the email contains a PDF attachment and has not been labeled as 'invoice synced'.
    4. Upload to LlamaParse: The PDF is uploaded to the LlamaParse service for parsing.
    5. Get Processing Status: The workflow checks the status of the parsing job to determine if it is ready.
    6. Check Job Status: It waits until the job is either completed successfully or encounters an error.
    7. Extract Data: Once ready, it retrieves the parsed data in Markdown format and applies extraction rules to obtain structured data.
    8. Map Output: The extracted data is mapped to the corresponding fields required for reconciliation.
    9. Append to Google Sheets: The structured data is appended to a Google Sheets document for record-keeping.
    10. Label Email: Finally, the original email is labeled as 'invoice synced' to prevent future duplicate processing.
  • Customization Guide

    Users can customize the workflow by:
    - Modifying Email Filters: Adjust the sender's email address or attachment types to match specific invoice formats.
    - Changing Google Sheets Integration: Update the Google Sheets document ID and sheet name to direct the output to a different spreadsheet.
    - Altering Data Extraction Rules: Customize the extraction prompts in the 'Apply Data Extraction Rules' node to capture additional or different data fields as needed.
    - Adjusting Parsing Service: If a different parsing service is preferred, replace the LlamaParse nodes with the desired service's API endpoints and parameters.