Property Listing Scout
Tracks new real estate listings across major property platforms on a recurring schedule, filters by asset type, geography, price ceiling, and must-have features, and delivers a deduplicated digest of net-new matches. Maintains a persistent database of every seen listing so the same property never gets surfaced twice, logs each run with delivery status, and skips quietly when a source is down rather than aborting the workflow.
Agent snapshot
Built for real estate work, not a generic template.
10
template uses
45
catalog views
3
integrations used
2
labels matched
Sample input
Build an agent to property Listing Scout. Use Crexi, Slack, and Follow Up Boss. Focus on watch things. Return a ready-to-review result after each run.
Sample output
Every morning, scans Crexi and Realtor.com for industrial properties under $1.5M in your target metro, dedupes against past listings, and posts a ranked digest to Slack.
Workflow brief
Where Property Listing Scout fits in a real estate automation system
Property Listing Scout is designed for a specific recurring job: tracks new real estate listings across major property platforms on a recurring schedule, filters by asset type, geography, price ceiling, and must-have features, and delivers a deduplicated digest of net-new matches. Maintains a persistent database of every seen listing so the same property never gets surfaced twice, logs each run with delivery status, and skips quietly when a source is down rather than aborting the workflow. 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 Crexi, Slack, and Follow Up Boss 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 8 concrete steps from the published agent data.
Load known listing IDs and URLs from the agent database to build a deduplication set
Scrape each configured listing platform for properties matching geography, asset type, transaction type, and price ceiling
Filter results by must-have features, size range, and 7-day recency window
Drop any listing whose ID or URL is already in the deduplication set
Score remaining matches and assemble a ranked digest with key specs and links
Send the digest to the configured delivery channel using the chosen format
Integrations used
Property Listing Scout connects Crexi, Slack, and Follow Up Boss.
Crexi
Connected in this agent
Slack
Connected in this agent
Follow Up Boss
Connected in this agent
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Plans start at €20/mo