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Automated Storage of Retell Call Records to Google Sheets / Airtable / Notion

This workflow can automatically receive and process Webhook events generated by the completion of Retell voice call analysis, extracting key data from the calls and synchronously saving it in real-time to platforms chosen by the user, such as Airtable, Google Sheets, and Notion. This automation addresses the issues of scattered call data and low management efficiency, helping users efficiently archive and utilize call history and analysis information, achieving unified management and flexible use of data across multiple platforms.

Workflow Diagram
Automated Storage of Retell Call Records to Google Sheets / Airtable / Notion Workflow diagram

Workflow Name

Automated Storage of Retell Call Records to Google Sheets / Airtable / Notion

Key Features and Highlights

This workflow enables real-time reception of webhook events triggered upon completion of Retell voice call analysis. It automatically extracts key call data—including call ID, start and end times, call duration, total cost, call transcript, call summary, and user sentiment—and synchronizes these structured data to user-designated Airtable, Google Sheets, and Notion databases. This supports unified data management across multiple platforms.

Core Problems Addressed

When building voice agents with Retell, call data tends to be scattered and difficult to manage systematically. This workflow solves challenges related to consolidating call analysis data, low efficiency in data management, and complexity in cross-tool integration by automating data processing and multi-platform synchronized storage. It helps users efficiently preserve and utilize call history and analysis information.

Use Cases

  • Voice agent developers needing systematic storage and management of Retell voice call and analysis data.
  • Customer service or sales teams aiming to automatically archive call records and sentiment analysis for review and training purposes.
  • Enterprises requiring integration of voice call data into business databases or office documents to enable data-driven business optimization.
  • Scenarios demanding multi-platform data synchronization to enhance data accessibility and coverage.

Main Workflow Steps

  1. Use a webhook node to listen for Retell’s call_analyzed event (the webhook callback triggered when call analysis is completed).
  2. Apply a filter node to retain only the “call_analyzed” events, ensuring data accuracy.
  3. Configure a field node to extract and format the required export data fields, such as call ID, timestamps converted to local ISO format, call cost converted to USD, call transcript, summary, and user sentiment.
  4. Synchronize and save the processed data to Airtable, Google Sheets, and Notion respectively, enabling multi-end data backup and management.
  5. Users can choose to retain any one or multiple storage options according to their actual needs.

Involved Systems or Services

  • Retell AI: Voice call and analysis service that triggers webhook events.
  • Webhook (n8n node): Receives event notifications from Retell.
  • Airtable: Structured database for storing call data.
  • Google Sheets: Spreadsheet format for saving call records, facilitating viewing and analysis.
  • Notion: Knowledge management platform for storing and managing call summaries and sentiment information.

Target Users and Value

  • Developers and operators of Retell voice agents, facilitating automatic collection and management of call analysis data.
  • Customer service supervisors, sales managers, and others who require archiving, analyzing, and quality controlling conversational data.
  • Enterprise users seeking cross-platform call data synchronization and automated storage.
  • Organizations aiming to reduce manual operations through automation, improving data utilization efficiency and business insights.

This workflow offers a streamlined and efficient automated data archiving solution for users building voice agents with Retell AI. It empowers users to easily manage call histories and analysis results with seamless multi-platform synchronization, greatly enhancing the convenience and value of data management. For customized support or inquiries, please contact hello@agentstudio.io.