Track hotel rate positioning with Bright Data, GPT-5.6, Google Sheets and Slack
Ready for 3.0What this workflow does
This AI workflow has 17 nodes and runs on a schedule (every week at 07:00). Along the way it connects OpenAI Chat Model, Google Sheets and Slack.
How it runs
Trigger: On a schedule (every week at 07:00).
- Settings (Edit Fields (Set)): sets 14 fields: property_name, market_search_term, nights_ahead…
- Build The Date Grid (Code): runs custom JavaScript code
- Search Google Hotels (HTTP Request): calls an HTTP API (POST)
- Check The Job Started (Code): runs custom JavaScript code
- Wait: waits 45 seconds
- Check The Snapshot (HTTP Request): calls an HTTP API (GET)
- Count The Polls (Code): runs custom JavaScript code
- Rates Ready? (If): checks a condition and branches into true / false
- Download The Rates (HTTP Request): calls an HTTP API (GET)
- Work Out Your Position (Code): runs custom JavaScript code
…plus 5 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 (11)
- Schedule Trigger
n8n-nodes-base.scheduleTrigger - Edit Fields (Set)
n8n-nodes-base.set - Code
n8n-nodes-base.code - HTTP Request
n8n-nodes-base.httpRequest - Wait
n8n-nodes-base.wait - If
n8n-nodes-base.if - Basic LLM Chain
@n8n/n8n-nodes-langchain.chainLlm - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Split Out
n8n-nodes-base.splitOut - Google Sheets
n8n-nodes-base.googleSheets - Slack
n8n-nodes-base.slack
From the author
Quick overview This workflow runs every Monday to scrape Google Hotels rates via Bright Data for four future check-in dates, calculates your property’s price position against a star-banded comp set, appends the results to Google Sheets, and posts a short…