Real estate property search with SQL database and email delivery

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2/3/2026

Export Reporting Data Transformation File System CSV

Transform property searches into personalized experiences! This powerful automation delivers dream home matches straight to clients' inboxes with professional CSV reports - all from a simple web form.

🚀 What this workflow does

Create a complete real estate search experience that works 24/7:

✨ Smart Web Form - Beautiful property search form captures client preferences
🧠 Dynamic SQL Builder - Intelligently creates optimized queries from user input
⚡ Lightning Database Search - Scans 1000+ properties in milliseconds
📊 Professional CSV Export - Excel-ready reports with complete property details
📧 Automated Email Delivery - Personalized emails with property previews and attachments

🎯 Perfect for:

Real Estate Agents - Generate leads and impress clients with instant service
Property Managers - Automate tenant matching and recommendations
Brokerages - Provide 24/7 self-service property discovery
Developers - Showcase available properties with professional automation

💡 Why this workflow is a game-changer

> "From property search to professional report delivery in under 30 seconds!"

⚡ Instant Results: Zero wait time for property matches
🎨 Professional Output: Beautiful emails that showcase your expertise
📱 Mobile Optimized: Works flawlessly on all devices
🧠 Smart Filtering: Only searches criteria clients actually specify
📈 Infinitely Scalable: Handles unlimited searches simultaneously

📊 Real Estate Data Source

Built on authentic US market data from the Github:

🏘️ 1000+ Real Properties across all US states
💰 Actual Market Prices from legitimate listings
🏠 Complete Property Details (bedrooms, bathrooms, square footage, lot size)
📍 Verified Locations with accurate cities, states, and ZIP codes
🏢 Broker Information for authentic real estate context

🛠️ Quick Setup Guide

Prerequisites Checklist ✅

[ ] SQL Server database (MySQL/PostgreSQL also supported)
[ ] Gmail account for automated emails
[ ] n8n instance (cloud or self-hosted)
[ ] 20 minutes setup time

Step 1: Import Real Estate Data 📥

🌟 Download the data
💾 Download CSV file (1000+ properties included)
🗄️ Create SQL Server table with this exact schema:

CREATE TABLE [REALTOR].[dbo].[realtor_usa_price] (
    brokered_by BIGINT,
    status NVARCHAR(50),
    price DECIMAL(12,2),
    bed INT,
    bath DECIMAL(3,1),
    acre_lot DECIMAL(10,8),
    street BIGINT,
    city NVARCHAR(100),
    state NVARCHAR(50),
    zip_code INT,
    house_size INT,
    prev_sold_date NVARCHAR(50)
);

📊 Import your CSV data into this table

Step 2: Configure Database Connection 🔗

🔐 Set up Microsoft SQL Server credentials in n8n
✅ Test connection to ensure everything works
🎯 Workflow is pre-configured for the table structure above

Step 3: Gmail Setup (The Magic Touch) 📧

🌐 Visit Google Cloud Console
🆕 Create new project (or use existing)
🔓 Enable Gmail API in API Library
🔑 Create OAuth2 credentials (Web Application)
⚙️ Add your n8n callback URL to authorized redirects
🔗 Configure Gmail OAuth2 credentials in n8n
✨ Authorize your Google account

Step 4: Launch Your Property Search Portal 🚀

📋 Import this workflow template (form is pre-configured)
🌍 Copy your webhook URL from the Property Search Form node
🔍 Test with a sample property search
📨 Check email delivery with CSV attachment
🎉 Go live and start impressing clients!

🎨 Customization Playground

🏷️ Personalize Your Brand

// Customize email subjects in the Gmail node
"🏠 Exclusive Properties Curated Just for You - ${results.length} Perfect Matches!"
"✨ Your Dream Home Portfolio - Handpicked by Our Experts"
"🎯 Hot Market Alert - ${results.length} Premium Properties Inside!"

🔧 Advanced Enhancements

🎨 HTML Email Templates: Create stunning visual emails with property images
📊 Analytics Dashboard: Track popular searches and user engagement
🔔 Smart Alerts: Set up automated price drop notifications
📱 Mobile Integration: Connect to React Native or Flutter apps
🤖 AI Descriptions: Add ChatGPT for compelling property descriptions

🌍 Multi-Database Flexibility

// Easy database switching
// MySQL: Replace Microsoft SQL node → MySQL node
// PostgreSQL: Swap for PostgreSQL node  
// MongoDB: Use MongoDB node with JSON queries
// Even CSV files: Use CSV reading nodes for smaller datasets

🚀 Advanced Features & Extensions

🔥 Pro Tips for Power Users

🔄 Bulk Processing: Handle multiple searches simultaneously
💾 Smart Caching: Store popular searches for lightning-fast results
📈 Lead Scoring: Track which properties generate most interest
📅 Follow-up Automation: Schedule nurturing email sequences

🎯 Integration Possibilities

🏢 CRM Connection: Auto-add qualified leads to your CRM
📅 Calendar Integration: Add property viewing scheduling
📊 Price Monitoring: Track market trends and price changes
📱 Social Media: Auto-share featured properties to social platforms
💬 Chat Integration: Connect to WhatsApp or SMS for instant alerts

🔗 Expand Your Real Estate Automation

🌟 Related Workflow Ideas

🤖 AI Property Valuation - Add machine learning for price predictions
📊 Market Analysis Reports - Generate comprehensive market insights
📱 SMS Property Alerts - Instant text notifications for hot properties
🏢 Commercial Property Search - Adapt for office and retail spaces
💹 Investment ROI Calculator - Add financial analysis for investors
🏘️ Neighborhood Analytics - Include school ratings and demographics

🛠️ Technical Extensions

📷 Image Processing: Auto-resize and optimize property photos
🗺️ Map Integration: Add interactive property location maps
📱 Progressive Web App: Create mobile app experience
🔔 Push Notifications: Real-time alerts for saved searches

🚀 Get Started Now

Import this workflow template
Configure your database and Gmail
Customize branding and messaging
Launch your professional property search portal
Watch client satisfaction soar!

Real Estate Property Search with SQL Database and Email Delivery

This n8n workflow automates the process of searching for real estate properties in a SQL database, converting the results into a downloadable file, and then sending that file via email. It's designed to streamline property data retrieval and distribution.

What it does

Triggers on Form Submission: The workflow starts when an n8n form is submitted. This form is expected to contain search criteria for real estate properties.
Queries Microsoft SQL Database: It connects to a Microsoft SQL database to execute a query based on the input received from the form. This step retrieves the relevant property data.
Converts Data to File: The retrieved property data is then converted into a file format (e.g., CSV, JSON, etc., depending on configuration). This makes the data easily shareable and downloadable.
Sends Email with File Attachment: Finally, the generated file containing the property search results is attached to an email and sent via Gmail.

Prerequisites/Requirements

To use this workflow, you will need:

n8n Instance: A running instance of n8n.
Microsoft SQL Database: Access to a Microsoft SQL database containing your real estate property data. You will need the necessary connection details (host, port, database name, credentials).
Gmail Account: A configured Gmail credential in n8n to send emails.
n8n Form: An n8n form configured to collect search parameters (e.g., property type, location, price range) that will be used in the SQL query.

Setup/Usage

Import the Workflow:
- Download the provided JSON workflow definition.
- In your n8n instance, go to "Workflows" and click "New".
- Click the three-dot menu in the top right and select "Import from JSON".
- Paste the JSON content or upload the file.
Configure Credentials:
- Microsoft SQL: Locate the "Microsoft SQL" node. Click on "Credential" and either select an existing Microsoft SQL credential or create a new one. Provide your database connection details (host, port, database, user, password).
- Gmail: Locate the "Gmail" node. Click on "Credential" and either select an existing Gmail OAuth credential or create a new one. Follow the steps to authenticate with your Google account.
Configure the "On form submission" Trigger:
- Open the "On form submission" node.
- Define the fields that your form will collect (e.g., propertyType, minPrice, maxPrice, location). These fields will be used to construct the SQL query.
- Once configured, activate the workflow and copy the webhook URL provided by this node. This URL is where your form submissions will be sent.
Configure the "Microsoft SQL" Node:
- Edit the "Microsoft SQL" node.
- Set the "Operation" to "Execute Query".
- In the "Query" field, write your SQL SELECT statement. Use expressions to dynamically insert values from the form trigger. For example:
```
SELECT * FROM Properties WHERE type = '{{ $('On form submission').item.json.propertyType }}' AND price BETWEEN {{ $('On form submission').item.json.minPrice }} AND {{ $('On form submission').item.json.maxPrice }} AND location = '{{ $('On form submission').item.json.location }}';
```
  Adjust the table and column names to match your database schema.
Configure the "Convert to File" Node:
- Open the "Convert to File" node.
- Choose the desired "File Format" (e.g., CSV, JSON, Excel).
- Configure any other options like "Delimiter" or "Include Headers" as needed.
Configure the "Gmail" Node:
- Edit the "Gmail" node.
- Set the "Operation" to "Send Email".
- Specify the recipient email address(es) in the "To" field (e.g., user@example.com or dynamically from the form {{ $('On form submission').item.json.email }}).
- Enter a "Subject" (e.g., "Your Property Search Results").
- Add "Body" text for the email.
- Ensure "Attach Binary Data" is enabled and correctly points to the output of the "Convert to File" node.
Activate the Workflow:
- Once all nodes are configured, save and activate the workflow.
Test the Workflow:
- Submit your n8n form with some test data.
- Check your n8n execution logs to ensure the workflow ran successfully.
- Verify that you receive an email with the attached property data.

This workflow provides a robust solution for delivering tailored property search results directly to users via email, leveraging your existing SQL database.

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