Analyze real estate market sentiment with ScrapeGraphAI and 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 analyzes real estate market sentiment by scraping investment forums and news sources, then provides AI powered market predictions and investment recommendat...

Best for

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

Tools used

n8n-nodes-base.scheduletrigger, n8n-nodes-scrapegraphai.scrapegraphai, n8n-nodes-base.code, n8n-nodes-base.telegram, n8n-nodes-base.stickynote

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: Analyze real estate market sentiment with ScrapeGraphAI and Telegram
Workflow name: Analyze real estate market sentiment with ScrapeGraphAI and Telegram

How it works

This workflow automatically analyzes real estate market sentiment by scraping investment forums and news sources, then provides AI-powered market predictions and investment recommendations.

Key Steps

Scheduled Trigger - Runs on a cron schedule to regularly monitor market sentiment.
Multi-Source Scraping - Uses ScrapeGraphAI to extract discussions from BiggerPockets forums and real estate news articles.
Sentiment Analysis - JavaScript nodes analyze text content for bullish/bearish keywords and calculate sentiment scores.
Market Prediction - Generates investment recommendations (buy/sell/hold) based on sentiment analysis with confidence levels.
Timing Optimization - Provides optimal timing recommendations considering seasonal factors and market urgency.
Investment Advisor Alerts - Formats comprehensive reports with actionable investment advice.
Telegram Notifications - Sends formatted alerts directly to your Telegram channel for instant access.

Set up steps

Setup time: 10-15 minutes

Configure ScrapeGraphAI credentials - Add your ScrapeGraphAI API key for web scraping.
Set up Telegram bot - Create a bot via @BotFather and add your bot token and chat ID.
Customize data sources - Update the URLs to target specific real estate forums or news sources.
Adjust schedule frequency - Modify the cron expression based on how often you want sentiment updates.
Test sentiment analysis - Run manually first to ensure the analysis logic works for your market.
Configure alert preferences - Customize the alert formatting and priority levels as needed.

Technologies Used

ScrapeGraphAI - For extracting structured data from real estate forums and news sites
JavaScript Code Nodes - For sentiment analysis, market prediction, and timing optimization
Schedule Trigger - For automated execution using cron expressions
Telegram Integration - For instant mobile notifications and team alerts
JSON Data Processing - For structured sentiment analysis and market intelligence

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 Trigger

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

Block 2 - ScrapeGraphAI - RE Forums

Type / Role: n8n-nodes-scrapegraphai.scrapegraphAi - scrapegraphAi
Config choices: Version 1

Block 3 - ScrapeGraphAI - RE News

Type / Role: n8n-nodes-scrapegraphai.scrapegraphAi - scrapegraphAi
Config choices: Version 1

Block 4 - Sentiment Analyzer

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

Block 5 - Market Predictor

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

Block 6 - Timing Optimizer

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

Block 7 - Investment Advisor Alert

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

Block 8 - Telegram Alert

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

Block 9 - Sticky Note - Trigger

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

Block 10 - Sticky Note - Data Collection

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

Block 11 - Sticky Note - Sentiment Analysis

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

Block 12 - Sticky Note - Market Prediction

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

Block 13 - Sticky Note - Timing Optimization

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

Block 14 - Sticky Note - Investment Alert

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

Block 15 - Sticky Note - Telegram Delivery

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

3. Summary Table

Workflow	Analyze real estate market sentiment with ScrapeGraphAI and Telegram
Complexity	advanced
Nodes	15
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/6627/6627.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 Analyze real estate market sentiment with ScrapeGraphAI and 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.scheduletrigger n8n-nodes-scrapegraphai.scrapegraphai n8n-nodes-base.code n8n-nodes-base.telegram n8n-nodes-base.stickynote

Complexity

advanced

Published 29 Jul 2025

Likes 0

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Install path: /data/workflows/6627/6627.json

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Analyze real estate market sentiment with ScrapeGraphAI and 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

Technologies Used

1.2 Logical Blocks

2. Block-by-Block Analysis

Block 1 - Schedule Trigger

Block 2 - ScrapeGraphAI - RE Forums

Block 3 - ScrapeGraphAI - RE News

Block 4 - Sentiment Analyzer

Block 5 - Market Predictor

Block 6 - Timing Optimizer

Block 7 - Investment Advisor Alert

Block 8 - Telegram Alert

Block 9 - Sticky Note - Trigger

Block 10 - Sticky Note - Data Collection

Block 11 - Sticky Note - Sentiment Analysis

Block 12 - Sticky Note - Market Prediction

Block 13 - Sticky Note - Timing Optimization

Block 14 - Sticky Note - Investment Alert

Block 15 - Sticky Note - Telegram Delivery

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