📊 Find real estate deals from Facebook groups with GPT-4o and Twilio SMS alerts
⚡ 228 views · 📊 Market Research & Insights
💡 Pro Tip — If you’ve run into Facebook’s Graph API permission restrictions, ScraperNode is a community node that scrapes pages, groups, posts, and comments directly — no app review needed.
Description
Who is this for?
Real estate investors, wholesalers, and house flippers who want to stop manually scrolling Facebook groups and have qualifying deals delivered to their phone instead.
What does it do?
Every 4 hours, this workflow scrapes posts from 6 Facebook real estate groups, sends them all to GPT-4o, which extracts deal details (address, beds/baths, sqft, ARV, asking price, rehab cost, keywords like FSBO/Airbnb/BRRR) and classifies each post against your “buy box.” Qualifying deals get texted to your phone via Twilio with a link to the original post.
How it works
- Schedule Trigger — runs every 4 hours between 9 AM and 9 PM
- 6 HTTP Request nodes — pull recent posts from each Facebook group via the Facebook Scraper3 API on RapidAPI
- Split Out → Merge → Aggregate — flattens, combines, and bundles all posts into a single batch
- AI Agent (GPT-4o) — analyzes every post, extracts deal data, and classifies as Preferred Deal / Not Preferred / Unclear
- Edit Fields — formats the AI output into a readable SMS body
- Twilio — sends the SMS to your phone
Set up steps
- Get a RapidAPI key and subscribe to the Facebook Scraper3 API, then add it to each HTTP node
- Replace the 6 Facebook group IDs with groups you’ve joined (the ID is the number in the group URL)
- Add OpenAI credentials to the Chat Model node
- Edit the AI Agent’s system message to match your buy box (bed/bath/sqft minimums, keywords, max price, location)
- Add Twilio credentials, then set the
toandfromnumbers - Adjust the cron schedule if you want to scrape more or less often
Setup time: ~15–20 minutes once you have all three API keys.
🔗 Nodes Used
HTTP Request, Twilio, Schedule Trigger, AI Agent, OpenAI Chat Model
📥 Import
Download workflow.json and import into n8n:
Workflow menu → Import from File