Find and score Zillow price cuts with Bright Data, GPT-5.6, Sheets and Slack
Ready for 3.0Ready for 3.0. This template uses no nodes that n8n 3.0 removes. No removed nodes, versions or helpers found. Static check, last run 2026-10-19.
What this workflow does
This AI workflow has 26 nodes and runs on a schedule (every day at 07:00) (plus 1 other trigger). Along the way it connects OpenAI Chat Model, Google Sheets, Slack and Gmail.
How it runs
Trigger: On a schedule (every day at 07:00) (plus 1 other trigger).
- Settings (Edit Fields (Set)): sets 10 fields: location, listing_category, home_type…
- Build Search Filters (Code): runs custom JavaScript code
- Search Zillow With Bright Data (HTTP Request): calls an HTTP API (POST)
- Check Search Accepted (Code): runs custom JavaScript code
- Wait: waits 60 seconds
- Check Snapshot Progress (HTTP Request): calls an HTTP API (GET)
- Evaluate Progress (Code): runs custom JavaScript code
- Listings Ready? (If): checks a condition and branches into true / false
- Download Listings (HTTP Request): calls an HTTP API (GET)
- Drop Failed Rows (Code): runs custom JavaScript code
…plus 12 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 (15)
- 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 - No Operation, do nothing
n8n-nodes-base.noOp - Information Extractor
@n8n/n8n-nodes-langchain.informationExtractor - OpenAI Chat Model
@n8n/n8n-nodes-langchain.lmChatOpenAi - Google Sheets
n8n-nodes-base.googleSheets - Slack
n8n-nodes-base.slack - n8n Form Trigger
n8n-nodes-base.formTrigger - Switch
n8n-nodes-base.switch - Limit
n8n-nodes-base.limit - Gmail
n8n-nodes-base.gmail
From the author
Quick overview This workflow runs daily (or on demand) to discover Zillow listings via Bright Data, detect recent price cuts and underpriced homes, score them using comparable-sales $/sqft, and then uses OpenAI to generate short verdicts before logging…