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Generate and post Apple App Store review replies with Anthropic Claude

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1. Workflow Overview

Generate and post Apple App Store review replies with Anthropic Claude, Google Drive and App Store Connect API This workflow empowers app developers and community management teams by automating the...

Best for

  • Ticket Management automation workflows
  • AI Summarization automation workflows
  • advanced n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.jwt, n8n-nodes-base.set, n8n-nodes-base.httprequest, n8n-nodes-base.slack, n8n-nodes-base.splitout, n8n-nodes-base.datatable

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by Ertay Kaya.

Original n8n.io source

1.1 Workflow description

Title
Generate and post Apple App Store review replies with Anthropic Claude
Workflow name
Generate and post Apple App Store review replies with Anthropic Claude

Generate and post Apple App Store review replies with Anthropic Claude, Google Drive and App Store Connect API

This workflow empowers app developers and community management teams by automating the generation and posting of responses to user reviews on the Apple App Store. Designed to streamline the engagement process, it drastically reduces the manual workload on community managers by integrating AI-driven responses with necessary human oversight. By leveraging n8n's workflow automation capabilities, this solution eliminates the need for costly third-party platforms like AppFollow or Appbot, making it a cost-effective and efficient alternative.

Pre-requisites

  • Google Drive & Google Sheets access: To store and manage review spreadsheets.
  • App Store Connect API credentials: To fetch and respond to app reviews.
  • LLM credentials (e.g., Anthropic): Required for generating responses.
  • Slack account

Workflow steps

1. Initialise and trigger workflow: The process begins daily at 10 AM through a scheduled trigger.

2. Fetch application data: Utilizes a data table (Apple App Store apps) to retrieve a list of applications with their app id and name, essential for identifying review sources.

3. Collect App Store Reviews: Retrieves previous day's reviews from the App Store Connect API based on app data. Stores the reviews in Google Sheets for further processing.

4. Generate AI Responses: AI model generates initial responses based on review content. Responses are structured and stored along with reviews within a Google Spreadsheet located in a Google Drive folder called ToReview. A Slack message is sent with the URL of the file

5. Human Review & Modification: Community managers review and refine AI-generated responses. Reviewed spreadsheets are moved to the ToSubmit Google Drive folder by the editor.

6. Post Verified Responses: Workflow triggers again at 5 PM to access reviewed spreadsheets in ToSubmit folder. It posts the human-verified responses back to the respective reviews on Apple App Store using App Store Connect API. Logs are maintained, recording each response's success or failure.

7. Archive processed spreadsheets: After posting the responses, workflow moves the processed files from ToSubmit to a different folder called Archived

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - Sticky Note

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 2 - Sticky Note1

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 3 - Sticky Note2

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 4 - Sticky Note3

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 5 - Sticky Note7

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 6 - Sticky Note8

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 7 - Sticky Note10

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 8 - Sticky Note13

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 9 - Trigger posting responses

Type / Role
n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices
Version 1.2

Block 10 - JWT

Type / Role
n8n-nodes-base.jwt - jwt
Config choices
Version 1

Block 11 - Fetch app id and name

Type / Role
n8n-nodes-base.set - set
Config choices
Version 3.4

Block 12 - HTTP Request - App Store Reviews

Type / Role
n8n-nodes-base.httpRequest - httpRequest
Config choices
Version 4.2

Block 13 - Sticky Note14

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 14 - Sticky Note15

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 15 - Sticky Note16

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 16 - Send to Slack

Type / Role
n8n-nodes-base.slack - slack
Config choices
Version 2.3

Block 17 - Sticky Note17

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 18 - Sticky Note18

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 19 - Split Out fetched reviews

Type / Role
n8n-nodes-base.splitOut - splitOut
Config choices
Version 1

Block 20 - Sticky Note19

Type / Role
n8n-nodes-base.stickyNote - stickyNote
Config choices
Version 1

Block 21 - Fetch list of applications

Type / Role
n8n-nodes-base.dataTable - dataTable
Config choices
Version 1

Block 22 - Loop over apps

Type / Role
n8n-nodes-base.splitInBatches - splitInBatches
Config choices
Version 3

Block 23 - Get rid of empty items

Type / Role
n8n-nodes-base.filter - filter
Config choices
Version 2.3

Block 24 - Sort

Type / Role
n8n-nodes-base.sort - sort
Config choices
Version 1

Showing the first 24 of 44 workflow blocks. Download the JSON for the full node graph.

3. Summary Table

Workflow Generate and post Apple App Store review replies with Anthropic Claude
Complexity advanced
Nodes 44
Categories Ticket Management, AI Summarization
Author Ertay Kaya
Published 22 Jan 2026

4. Reproducing the Workflow from Scratch

  1. 1. Download the workflow JSON

    Use the JSON export at /data/workflows/12927/12927.json as the source template for this automation.

  2. 2. Import the template into n8n

    Open n8n, import the downloaded JSON, and review each node before activating the workflow.

  3. 3. Configure credentials and variables

    Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.

  4. 4. Test with sample data

    Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.

  5. 5. Activate and monitor

    Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Frequently asked questions

What does Generate and post Apple App Store review replies with Anthropic Claude do?

Generate and post Apple App Store review replies with Anthropic Claude, Google Drive and App Store Connect API This workflow empowers app developers and community management teams by automating the...

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Ticket Management, AI Summarization use case.