You will get I will build an off-market property signal tracker (n8n + Google Sheets)
Rising Talent
Project details
Are you hunting for off-market or motivated seller opportunities, but tired of manually checking portals and council sites every day?
I’ll build a lean automation system that tracks public property signals (e.g. withdrawn/expired listings, price drops, DA notices) and sends you a daily shortlist of high-potential opportunities – all using n8n + Google Sheets + email.
What this system does
Monitors public property data sources (no logins, no heavy scraping)
Normalises and deduplicates properties by address
Tracks when a property was first seen and last seen
Scores each property based on configurable rules (withdrawn, expired, price drop, DA signal, rental-to-sale flip, etc.)
Stores all data in a single Google Sheet (Properties + Config + Logs)
Sends:
a daily email with top deals
instant alerts when a property crosses a high score threshold
Tech stack
n8n (workflow automation)
Google Sheets (lightweight data store)
Gmail / SMTP (email alerts)
Light JavaScript inside n8n for parsing and scoring
The system is designed to be lean, transparent and easy to tweak – ideal if you want a stable v1 that you or your team can adjust over time without a lot of code.
I’ll build a lean automation system that tracks public property signals (e.g. withdrawn/expired listings, price drops, DA notices) and sends you a daily shortlist of high-potential opportunities – all using n8n + Google Sheets + email.
What this system does
Monitors public property data sources (no logins, no heavy scraping)
Normalises and deduplicates properties by address
Tracks when a property was first seen and last seen
Scores each property based on configurable rules (withdrawn, expired, price drop, DA signal, rental-to-sale flip, etc.)
Stores all data in a single Google Sheet (Properties + Config + Logs)
Sends:
a daily email with top deals
instant alerts when a property crosses a high score threshold
Tech stack
n8n (workflow automation)
Google Sheets (lightweight data store)
Gmail / SMTP (email alerts)
Light JavaScript inside n8n for parsing and scoring
The system is designed to be lean, transparent and easy to tweak – ideal if you want a stable v1 that you or your team can adjust over time without a lot of code.
Database Type
MySQL, PostgreSQLWhat's included
| Service Tiers |
Starter
$40
|
Standard
$90
|
Advanced
$170
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 5 days |
Number of Revisions | 1 | 2 | 3 |
Source Code | - |
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MA
Muhammad A.
Aug 28, 2025
AI-Powered Stock Forecasting Platform – Research Analyst
Well done,I appreciate your work. Will Hire again Highly recommended
NA
Naiba A.
Aug 22, 2025
Chatbot Developer
I truly admire the quality of your work, and if I ever need assistance in the future, I will surely hire you again.
About Abdul
AI Voice Agent & RAG Chatbot Developer
100%
Job Success
Bahawalpur, Pakistan - 4:01 pm local time
I build AI-powered solutions that help businesses work more efficiently. Depending on the business, that could be an AI receptionist, a customer support assistant, document search, lead qualification, or workflow automation connecting tools like CRM, email, and calendars.
I don't start with technology—I start with your business goals. My job is to understand where your team is losing time or opportunities, then build a practical AI solution that delivers measurable value.
I build AI chatbots that actually know your business — trained on your PDFs, website & docs.
Most chatbots are useless. They loop customers in circles, hallucinate answers, and hand everything back to a human anyway.
The systems I build are different. They're trained on your data — your docs, your website, your support history — and they answer like your best employee. Accurately. Instantly. At 3am.
Here's what that looks like in practice:
— Support ticket volume cut by 78% for an e-commerce brand
— Lead response time dropped from 4 hours to 47 seconds
— $4,000/month saved in admin costs through intelligent automation
— 3x more demos booked after deploying an AI voice agent
These aren't case studies from a portfolio. These are recent builds.
What I build:
🧠 RAG Chatbots & AI Knowledge Systems
Trained on your PDFs, website, internal docs, or CRM data. Customers get real answers. Your team stops answering the same question twice. Works for customer support, legal, healthcare, HR, and enterprise use cases.
🎙️ AI Voice Agents
Answers every inbound call, qualifies the lead, books the appointment — without a human on the line. Built on Vapi and ElevenLabs. Deployed in days.
💬 Website & Messaging Bots
WhatsApp, Telegram, or embedded chat — trained on your business, connected to your CRM, closing conversations while you sleep.
⚙️ Workflow Automation
n8n pipelines that connect your tools, route your leads, and kill the manual handoffs that slow everything down.
My stack:
Vapi · ElevenLabs · Retell AI · LangChain · Pinecone · OpenAI · Claude · n8n · Python · HubSpot · GoHighLevel · WhatsApp Business API · Webhooks
Best fit if you are:
A business owner whose team answers the same questions on repeat. A founder losing leads to slow follow-up. An agency needing white-label AI builds. A healthcare, legal, or e-commerce brand ready to put support on autopilot.
If any of that sounds familiar — message me. Tell me your bottleneck. I'll tell you exactly what to build.
Steps for completing your project
After purchasing the project, send requirements so Abdul can start the project.
Delivery time starts when Abdul receives requirements from you.
Abdul works on your project following the steps below.
Revisions may occur after the delivery date.
Initial setup & access configuration
Set up n8n, connect Google Sheets & Email, review target suburbs and scoring rules.
Build workflows & data processing
Create ingest workflow, dedupe by address, scoring, store data in Sheets, enable alerts.