R2SA Deal Hunter
Continuously hunts long-term rental listings on UK portals across your chosen cities, scores each property against expected serviced-accommodation revenue using local Airbnb comparables and your assumed occupancy, flags deals clearing your monthly net profit threshold, and writes the shortlist to your tracker with a personalised landlord outreach pitch ready to send. Skips listings already seen, retries portals that throttle, and emails a daily digest of the top scoring opportunities.
Agent snapshot
Built for real estate work, not a generic template.
13
template uses
9
catalog views
2
integrations used
2
labels matched
Sample input
Build an agent to r2SA Deal Hunter. Use Google Sheets and Follow Up Boss. Focus on sales outreach. Return a ready-to-review result after each run.
Sample output
Every morning, scans OpenRent, Rightmove, Zoopla and Gumtree for sub-£1,500/mo rentals across your target cities, runs Airbnb yield math on each property, and logs listings clearing £500+/month net to Google Sheets with a tailored landlord pitch.
Workflow brief
Where R2SA Deal Hunter fits in a real estate automation system
R2SA Deal Hunter is designed for a specific recurring job: continuously hunts long-term rental listings on UK portals across your chosen cities, scores each property against expected serviced-accommodation revenue using local Airbnb comparables and your assumed occupancy, flags deals clearing your monthly net profit threshold, and writes the shortlist to your tracker with a personalised landlord outreach pitch ready to send. Skips listings already seen, retries portals that throttle, and emails a daily digest of the top scoring opportunities. 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 Google Sheets 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.
Read configured cities, rent ceiling, property types, occupancy, operating cost percentage and profit threshold
Scrape long-term rental listings on each portal for each city, filtered by rent ceiling and property type
Normalize listings to a common shape and dedupe against the agent database of previously seen URLs
For each new listing, fetch Airbnb comparables for the same neighbourhood and bedroom count to estimate average daily rate
Compute estimated monthly gross revenue, deduct rent and operating costs, and derive monthly net profit
Keep only listings whose net profit clears the threshold, rank by profit and yield
Integrations used
R2SA Deal Hunter connects Google Sheets and Follow Up Boss.
Google Sheets
Connected in this agent
Follow Up Boss
Connected in this agent
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Start from the exact agent behind this page, then adapt the prompt, apps, and review steps to your real estate workflow.
Plans start at €20/mo