Track competitor App Store listing changes with Bright Data, GPT-5.6 and Slack

by Daniel Shashko ✓ · 1 views · created 2026-08-27 · Market Research, AI Summarization

What this workflow does

This AI workflow has 22 nodes and runs on a schedule (every week at 08:00). Along the way it connects OpenAI Chat Model and Slack. It also calls api.brightdata.com over HTTP.

How it runs

Trigger: On a schedule (every week at 08:00).

1. Settings (Edit Fields (Set)): sets 5 fields: app_store_urls, max_apps, max_explained…
2. Build The App List (Code): runs custom JavaScript code
3. Ask The App Store (HTTP Request): calls api.brightdata.com (POST)
4. Check The Job Started (Code): runs custom JavaScript code
5. Wait: waits 20 seconds
6. Check The Snapshot (HTTP Request): calls an HTTP API (GET)
7. Count The Polls (Code): runs custom JavaScript code
8. Listings Ready? (If): checks a condition and branches into true / false
9. Download The Listings (HTTP Request): calls an HTTP API (GET)
10. Read Each Listing (Code): runs custom JavaScript code

…plus 9 more steps. See the full node list below.

Services it uses

OpenAI Chat ModelSlack

HTTP calls to: api.brightdata.com

Before you upgrade to n8n 3.0

Nodes used (12)

• Schedule Triggern8n-nodes-base.scheduleTrigger
• Edit Fields (Set)n8n-nodes-base.set
• Coden8n-nodes-base.code
• HTTP Requestn8n-nodes-base.httpRequest
• Waitn8n-nodes-base.wait
• Ifn8n-nodes-base.if
• Data tablen8n-nodes-base.dataTable
• No Operation, do nothingn8n-nodes-base.noOp
• Split Outn8n-nodes-base.splitOut
• Basic LLM Chain@n8n/n8n-nodes-langchain.chainLlm
• OpenAI Chat Model@n8n/n8n-nodes-langchain.lmChatOpenAi
• Slackn8n-nodes-base.slack

From the author

Quick overview This workflow runs every Monday, scrapes a list of competitor iOS App Store listings via Bright Data, compares key fields to last week’s snapshot stored in an n8n Data Table, uses OpenAI (GPT-5.6) to explain only the changes, and posts a weekly…

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