Monitor commercial real estate opportunities from LoopNet with ScrapeGraphAI & Telegram

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Important notice

This workflow is provided as-is. Please review and test before using in production.

1. Workflow Overview

How it works This workflow automatically scrapes commercial real estate listings from LoopNet and sends opportunity alerts to Telegram while logging data to Google Sheets. Key Steps 1. Scheduled Tr...

Best for

Market Research automation workflows
AI Summarization automation workflows
intermediate n8n builders looking for reusable templates

Tools used

n8n-nodes-base.stickynote, n8n-nodes-base.scheduletrigger, n8n-nodes-base.httprequest, n8n-nodes-base.code, n8n-nodes-base.if, n8n-nodes-base.telegram, n8n-nodes-base.googlesheets

Source and attribution

This workflow is cataloged by N8N Workflows and links back to its original n8n.io source page by vinci-king-01.

Original n8n.io source

1.1 Workflow description

Title: Monitor commercial real estate opportunities from LoopNet with ScrapeGraphAI & Telegram
Workflow name: Monitor commercial real estate opportunities from LoopNet with ScrapeGraphAI & Telegram

How it works

This workflow automatically scrapes commercial real estate listings from LoopNet and sends opportunity alerts to Telegram while logging data to Google Sheets.

Key Steps

Scheduled Trigger - Runs every 24 hours to collect fresh CRE market data
AI-Powered Scraping - Uses ScrapeGraphAI to extract property information from LoopNet
Market Analysis - Analyzes listings for opportunities and generates market insights
Smart Notifications - Sends Telegram alerts only when investment opportunities are found
Data Logging - Stores daily market metrics in Google Sheets for trend analysis

Set up steps

Setup time: 10-15 minutes

Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping
Set up Telegram connection - Connect your Telegram bot and specify the target channel
Configure Google Sheets - Set up Google Sheets integration for data logging
Customize the LoopNet URL - Update the URL to target specific CRE markets or property types
Adjust schedule - Modify the trigger timing based on your market monitoring needs

Keep detailed configuration notes in sticky notes inside your workflow

1.2 Logical Blocks

This catalog entry is organized from the workflow JSON. The node-level section below shows the executable blocks available for review before importing the template.

2. Block-by-Block Analysis

Block 1 - 📋 Schedule Info

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 2 - Daily CRE Scanner

Type / Role: n8n-nodes-base.scheduleTrigger - scheduleTrigger
Config choices: Version 1.2

Block 3 - 📋 Data Collection

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 4 - CRE Data Collector

Type / Role: n8n-nodes-base.httpRequest - httpRequest
Config choices: Version 4.2

Block 5 - 📋 Analysis Engine

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 6 - CRE Analyzer & Dashboard

Type / Role: n8n-nodes-base.code - code
Config choices: Version 2

Block 7 - 📋 Decision Logic

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 8 - Check for Opportunities

Type / Role: n8n-nodes-base.if - if
Config choices: Version 2

Block 9 - 📋 Telegram Setup

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 10 - Send Opportunity Alert

Type / Role: n8n-nodes-base.telegram - telegram
Config choices: Version 1.2

Block 11 - 📋 Data Logging

Type / Role: n8n-nodes-base.stickyNote - stickyNote
Config choices: Version 1

Block 12 - Log to Google Sheets

Type / Role: n8n-nodes-base.googleSheets - googleSheets
Config choices: Version 4.4

3. Summary Table

Workflow	Monitor commercial real estate opportunities from LoopNet with ScrapeGraphAI & Telegram
Complexity	intermediate
Nodes	12
Categories	Market Research, AI Summarization
Author	vinci-king-01
Published	29 Jul 2025

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

Use the JSON export at /data/workflows/6625/6625.json as the source template for this automation.
2. Import the template into n8n

Open n8n, import the downloaded JSON, and review each node before activating the workflow.
3. Configure credentials and variables

Replace placeholder credentials, API keys, webhook URLs, account IDs, and environment-specific values with your own settings.
4. Test with sample data

Run the workflow manually or in a staging workspace, inspect node output, and confirm downstream systems receive the expected data.
5. Activate and monitor

Enable the workflow only after testing, then monitor executions, errors, and rate limits during the first production runs.

5. General Notes & Resources

Review imported nodes carefully before activation. This catalog entry is intended to help you inspect the workflow structure, understand required services, and find related templates faster.

Node names, credentials, schedules, webhook paths, and external service limits may need adjustment for your workspace.

Download workflow JSON Original n8n.io source Market Research workflows AI Summarization workflows

Frequently asked questions

What does Monitor commercial real estate opportunities from LoopNet with ScrapeGraphAI & Telegram do?

What do I need before importing this workflow?

Review the workflow JSON, configure any required credentials in n8n, and test the automation in a safe workspace before using it in production.

Can I customize this workflow?

Yes. Use the block-by-block analysis and the downloadable JSON to inspect each node, then adjust credentials, prompts, schedules, filters, or destinations for your Market Research, AI Summarization use case.

vinci-king-01

67 workflows

Nodes

n8n-nodes-base.stickynote n8n-nodes-base.scheduletrigger n8n-nodes-base.httprequest n8n-nodes-base.code n8n-nodes-base.if n8n-nodes-base.telegram n8n-nodes-base.googlesheets

Complexity

intermediate

Published 29 Jul 2025

Likes 0

View on n8n.io Download Workflow

Install path: /data/workflows/6625/6625.json

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Monitor commercial real estate opportunities from LoopNet with ScrapeGraphAI & Telegram

Workflow preview

Important notice

1. Workflow Overview

Best for

Tools used

Source and attribution

1.1 Workflow description

How it works

Key Steps

Set up steps

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - 📋 Schedule Info

Block 2 - Daily CRE Scanner

Block 3 - 📋 Data Collection

Block 4 - CRE Data Collector

Block 5 - 📋 Analysis Engine

Block 6 - CRE Analyzer & Dashboard

Block 7 - 📋 Decision Logic

Block 8 - Check for Opportunities

Block 9 - 📋 Telegram Setup

Block 10 - Send Opportunity Alert

Block 11 - 📋 Data Logging

Block 12 - Log to Google Sheets

3. Summary Table

4. Reproducing the Workflow from Scratch

1. Download the workflow JSON

2. Import the template into n8n

3. Configure credentials and variables

4. Test with sample data

5. Activate and monitor

5. General Notes & Resources

Frequently asked questions