# Summarize weekly app store complaints with Apify, OpenAI and Slack

> Quick overview This workflow runs every Monday, scrapes the last 7 days of 1–2 star reviews from the App Store and Google Play via Apify, summarizes the main complaint themes with OpenAI, and posts a weekly digest to a Slack channel only when complaints exist. How it works 1. Runs every Monday at 9:00 on a schedule trigger. 2. Sends your App Store and Google Play app identifiers, country, rating filter (1–2 stars), and a 7-day lookback window to the Apify “App Store & Google Play Reviews Scraper” actor and retrieves the resulting review dataset. 3. Aggregates the reviews into a single weekly payload, counting items per store and formatting up to 150 review lines with store, rating, version, and text for summarization. 4. Stops if there are no matching reviews for the week. 5. Uses OpenAI (gpt-5-mini) to produce a short Slack-ready digest listing 3–5 top complaint themes with estimated counts, a representative quote, and version callouts where relevant. 6. Posts the digest to the select

- **Domain**: `n8n-workflow-20698.n8n.io`
- **Provider**: n8n.io (https://n8n.io)
- **Kind**: workflow
- **Live-responds (last probe)**: None
- **Signed card**: False
- **Streaming**: False
- **Quality score**: 40%

## URLs
- Agent card: https://n8n.io/workflows/20698
- Page (HTML): https://agenstry.com/agents/n8n-workflow-20698.n8n.io
- Documentation: https://n8n.io/workflows/20698