Real Estate Signals Hunter
An overnight real estate watcher that pulls listings, auction updates, permit activity, and pipeline events from the sources you choose, stores a dated snapshot in its own database, compares against the previous run to flag what is new, changed, or removed, and sends a clean HTML digest before you start your day. It keeps a 14-day deduplication window so you only see each property once, ranks items by urgency (price drops, fresh auctions, new permits), and lets you switch the destination email, the markets covered, and which signal types to include.
Agent snapshot
Built for real estate work, not a generic template.
11
template uses
63
catalog views
4
integrations used
2
labels matched
Sample input
Build an agent to real Estate Signals Hunter. Use Gmail, Follow Up Boss, Realtor, and Google Sheets. Focus on watch things. Return a ready-to-review result after each run.
Sample output
Every morning, scans MLS, FSBO, auction, and permit sources for new listings, price drops, and pipeline changes in your market, then emails you a ranked HTML digest with links.
Workflow brief
Where Real Estate Signals Hunter fits in a real estate automation system
Real Estate Signals Hunter is designed for a specific recurring job: an overnight real estate watcher that pulls listings, auction updates, permit activity, and pipeline events from the sources you choose, stores a dated snapshot in its own database, compares against the previous run to flag what is new, changed, or removed, and sends a clean HTML digest before you start your day. It keeps a 14-day deduplication window so you only see each property once, ranks items by urgency (price drops, fresh auctions, new permits), and lets you switch the destination email, the markets covered, and which signal types to include. The agent page keeps the workflow concrete by showing the connected apps, the input a team can give Twin, and the output the run is expected to produce.
A team can start from this public template, adjust the instructions, connect the relevant accounts, and schedule the agent once the review path is clear. That makes it useful for repeatable work where the same research, update, summary, or follow-up needs to happen again.
In this setup Twin uses Gmail, Follow Up Boss, Realtor, and Google Sheets as source systems, action targets, or reporting destinations. The agent can combine those tools with browser automation and API calls when the workflow crosses systems.
What this agent automates
This run includes 7 concrete steps from the published agent data.
Load the most recent snapshot from the agent database as the comparison baseline
Fetch fresh data from each configured source in parallel using Scrape or Web Search
Extract structured fields (title, price, location, status, URL, date found) with Twin AI
Diff against the baseline to classify each item as new, changed, unchanged, or removed
Score and rank items by urgency rules (price drops, new auctions, critical pipeline stages)
Persist the new snapshot to the agent database with the run date and change flags
Integrations used
Real Estate Signals Hunter connects Gmail, Follow Up Boss, Realtor, and Google Sheets.
Gmail
Connected in this agent
Follow Up Boss
Connected in this agent
Realtor
Connected in this agent
Google Sheets
Connected in this agent
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Plans start at €20/mo