Real Estate Lead Generation & Property Monitoring by Muhammad AwaisReal Estate Lead Generation & Property Monitoring by Muhammad Awais

Real Estate Lead Generation & Property Monitoring

Muhammad Awais

Muhammad Awais

Overview

Built an automated real estate property monitoring system that searches property marketplaces based on custom criteria and distributes matching listings to Telegram, email, and a CRM.
The system replaces repetitive property searching with scheduled automated monitoring and real-time distribution.

The Challenge

Real estate professionals were spending hours manually searching property websites for listings that matched specific locations, budgets, property types, and bedroom requirements.
This created several problems:
New listings could be missed while manually searching.
Valuable opportunities could disappear before the team noticed them.
Property information had to be copied and distributed manually.
There was no centralized process for tracking new listings.

The Solution

I designed a Make.com automation using BrowserAct, Telegram, Gmail, Outlook, and CRM integrations.
The workflow continuously searches configured property marketplaces, processes the extracted listing data, and distributes each matching property automatically.

Workflow

Schedule → BrowserAct → Make.com → Property Iterator → Telegram + Email + CRM
BrowserAct searches property marketplaces using configured filters.
Make.com receives and processes the extracted property data.
JSON parsing and routing logic standardize the listing information.
An iterator processes each property individually.
Telegram sends the property details to the configured group or channel.
Gmail or Outlook distributes email notifications to stakeholders.
CRM integration stores the listing for tracking and follow-up.

Search & Filtering Logic

Search criteria can be configured around:
Location
Property type
Number of bedrooms
Budget
Marketplace
Listings that match the configured criteria are automatically extracted and distributed without requiring manual review.

Outputs

Each matching property can be delivered with:
Property title
Location
Price
Property image
Listing URL
The same listing can then be distributed across Telegram, email, and the CRM so the team can respond quickly.

Results

Saved 10+ hours per week of manual property searching
Delivered new listings automatically instead of relying on manual checks
Reduced the chance of missing time-sensitive opportunities
Enabled monitoring across multiple property websites and locations
Created a scalable distribution pipeline for real estate listings

Technical Stack

Make.com · BrowserAct · Telegram API · Gmail · Outlook · CRM
The workflow processes approximately 10–50 listings per run and can be scheduled at configurable intervals, including every 6 hours.
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Posted Sep 28, 2026

Automated Make.com system that monitors property listings, filters matching opportunities, and sends new leads to Telegram, email, and CRM.