Summarize Apple App Store Reviews with Pinecone, GPT-4 Mini & Slack

Description

This n8n workflow automates the process of collecting, storing, and summarizing customer reviews from the Apple App Store for multiple apps. It fetches daily reviews, stores them in a Pinecone vector database, and generates a weekly summary using OpenAI, which is then posted to a Slack channel. Key Features Fetches daily customer reviews for a list of Apple App Store apps using the App Store Connect API. Stores reviews in Pinecone, with separate namespaces for each app and automatic weekly cleanup. Uses OpenAI to generate a summary of reviews, including positive/negative highlights and average star rating. Posts the summary to a specified Slack channel every week. How to use Set your Apple App Store app IDs and names in the provided Set nodes. Configure your Apple API, Pinecone, OpenAI, and Slack credentials. Adjust the schedule triggers as needed for daily fetching and weekly summarization. Deploy the workflow to automate review monitoring and reporting for your apps. An n8n automation workflow template by Ertay Kaya.

Community Metrics

Categories

• Automation
• AI

Tags

• n8n
• workflow
• http-request
• slack
• ai-agent
• embeddings-openai
• openai-chat-model
• pinecone-vector-store
• default-data-loader
• jwt

Capabilities

• 8 nodes
• 81 views

Information