Log App Store reviews and build weekly scorecards with Apify and Google Sheets
UnknownWhat this workflow does
This workflow has 13 nodes and runs on a schedule (every week at 08:00). Along the way it connects Google Sheets, Slack and Apify (community).
How it runs
Trigger: On a schedule (every week at 08:00).
- Set the apps to watch (Edit Fields (Set)): sets 3 fields: apps, country, reviewsPerApp
- One lookup per app (Split Out): splits a list into separate items
- Fetch the latest reviews (Apify): run actor and get dataset (actors)
- Keep rows that are real reviews (Filter): keeps only the items that match a condition
- One row per review (Code): runs custom JavaScript code
- Summarize: summarizes / groups the items
- Append every review to the history (Google Sheets): append
- Shape the scorecard (Code): runs custom JavaScript code
- Append the weekly scorecard (Google Sheets): append
- Optional: only the critical reviews (Filter): keeps only the items that match a condition
…plus 2 more steps. See the full node list below.
Services it uses
Before you upgrade to n8n 3.0
We can't fully verify this one: it relies on 1 community package, and n8n 3.0 turns unverified community packages off by default (N8N_UNVERIFIED_PACKAGES_ENABLED=false).
- Check that @apify/n8n-nodes-apify is verified or supports 3.0 (used in Fetch the latest reviews).
Nodes used (9)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Split Out
n8n-nodes-base.splitOut - Apify
@apify/n8n-nodes-apify.apify - Filter
n8n-nodes-base.filter - Code
n8n-nodes-base.code - Google Sheets
n8n-nodes-base.googleSheets - Summarize
n8n-nodes-base.summarize - Slack
n8n-nodes-base.slack
From the author
Quick Overview This workflow runs every Monday, pulls the latest Apple App Store reviews for a list of apps using Apify, and logs them to Google Sheets while also generating a per-app weekly rating scorecard (average, count, min/max, critical share, and…