This content originally appeared on DEV Community and was authored by Hasitha Palihena
This is a submission for the Runner H “AI Agent Prompting” Challenge
What I Built
I want you to: 1. Search Task * Go to google.com and search for houses for sale in the Auckland region, New Zealand. * Apply the following filters: * Price: Under NZD \$700,000 * Bedrooms: At least 3 bedrooms * Area: Must be in a safe neighbourhood * Preference for properties: * Close to Auckland CBD * Near public transport * Good potential for price appreciation in the future * Suitable for long-term living 2. Extract & Record Data For each matching property, extract and record the following details into a Google Sheet: * Property address * Price * Number of bedrooms * Property description * Safety indicators (if available) * Proximity to CBD and public transport * Any information about market growth potential * Listing URL 3. Open Home Automation * If the property has any open home scheduled: * Add the open home event to Google Calendar with: * Property address * Date and time of the open home * Link to the listing 4. Slack Notification * Check Google Calendar daily. * For each open home scheduled for the next day, send a reminder message in Slack with: * Property address * Open home date and time * Link to listing * Any special notes
The Problem It Solves
Manually filtering through real estate listings and coordinating open home visits is time-consuming. My automation solves this by:
- Automatically finding homes that match budget and lifestyle needs
- Logging detailed listings into a spreadsheet for comparison
- Scheduling open homes into your calendar
- Sending Slack reminders before viewings
Demo
(Youtube Link : – https://www.youtube.com/watch?v=RfBTkWaMz3A&ab_channel=DevOpsandAI)
- A Google Sheet with property details
- Google Calendar with open home events
- Slack message showing the open home reminder
How I Used Runner H
I used Runner H to chain multiple actions into a seamless workflow:
- Web Search Agent
- Query Google for houses in the Auckland region under \$700K with 3+ bedrooms, good public transport access, and long-term investment potential.
- Data Extraction & Logging
- Extract key details: address, price, bedrooms, description, and proximity to CBD/transport.
- Add the extracted data to a Google Sheet for easy viewing and tracking.
- Open Home Scheduling
- If open homes are listed, the agent schedules them directly into Google Calendar.
- Slack Integration
- The day before an open home, a Slack message is sent with the details and link to the listing.
How to Replicate My Workflow
- Clone or build a Runner H workflow with:
- A search & scrape agent
- Google Sheets write access
- Google Calendar integration
- Slack webhook or direct message support
- Use the following task prompt (adaptable):
“Find houses for sale under \$700,000 in Auckland, NZ with at least 3 bedrooms in safe areas. Prefer proximity to CBD and public transport. Record results to a Google Sheet, add open homes to Google Calendar, and notify via Slack one day before.”
- Authorize access to Sheets, Calendar, and Slack through Runner H connectors.
Use Case & Impact
Ideal Users:
- First-time homebuyers
- Real estate agents
- Property investors looking for growth areas
Impact:
- Saves hours of manual searching
- Reduces missed open homes
- Provides a centralized, up-to-date log of viable listings
Social Love
Shared on Twitter/X: https://x.com/hasithapalihena/status/1939496245162397997
This content originally appeared on DEV Community and was authored by Hasitha Palihena