Generate and post Apple App Store review replies with Anthropic Claude
Ready for 3.0What this workflow does
This AI workflow has 29 nodes and runs on a schedule (every day at 10:00) (plus 1 other trigger). Along the way it connects JWT, Slack, Google Drive and Anthropic Chat Model.
How it runs
Trigger: On a schedule (every day at 10:00) (plus 1 other trigger).
- Fetch list of applications (Data table): get
- Search responses ready to be posted (Google Drive): work with file folder
- Fetch app id and name (Edit Fields (Set)): sets 2 fields: app_id, name
- Download file (Google Drive): download
- Loop over apps (Loop Over Items (Split in Batches)): loops over the items in batches
- Extract from File: extracts data from a file (xlsx)
- Move spreadsheet to Archived folder (Google Drive): move
- Get rid of empty items (Filter): keeps only the items that match a condition
- JWT: uses JWT
- JWT: uses JWT
…plus 15 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
Nothing in this workflow is removed in n8n 3.0, so it should import and run after the upgrade.
Nodes used (18)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - JWT
n8n-nodes-base.jwt - Edit Fields (Set)
n8n-nodes-base.set - HTTP Request
n8n-nodes-base.httpRequest - Slack
n8n-nodes-base.slack - Split Out
n8n-nodes-base.splitOut - Data table
n8n-nodes-base.dataTable - Loop Over Items (Split in Batches)
n8n-nodes-base.splitInBatches - Filter
n8n-nodes-base.filter - Sort
n8n-nodes-base.sort - Convert to File
n8n-nodes-base.convertToFile - Google Drive
n8n-nodes-base.googleDrive - If
n8n-nodes-base.if - Aggregate
n8n-nodes-base.aggregate - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - Anthropic Chat Model
@n8n/n8n-nodes-langchain.lmChatAnthropic - Structured Output Parser
@n8n/n8n-nodes-langchain.outputParserStructured - Extract from File
n8n-nodes-base.extractFromFile
From the author
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…