Foreclosure Flip Deal Hunter
Monitors residential listing portals and public foreclosure/sheriff-sale auctions for distressed properties in your target markets. Filters on fixer-upper language (as-is, must sell, investor special, needs TLC, estate sale), pulls public county records for liens and ownership, estimates ARV using comps, applies the 70% rule against your max purchase price and rehab budget, and grades each property A/B/C for fix-and-flip viability. Maintains a deduplicated deal pipeline in a spreadsheet and sends a ranked email digest of new qualifying properties every morning.
Agent snapshot
Built for real estate work, not a generic template.
54
template uses
57
catalog views
4
integrations used
2
labels matched
Sample input
Build an agent to foreclosure Flip Deal Hunter. Use Realtor, Google Sheets, Follow Up Boss, and Slack. Focus on sales outreach. Return a ready-to-review result after each run.
Sample output
Each morning, scans Realtor.com listings and county foreclosure/sheriff auctions for fixer-upper and distressed signals, applies the 70% rule with ARV and rehab estimates, grades every deal A/B/C, and emails you a ranked digest with a pipeline sheet.
Workflow brief
Where Foreclosure Flip Deal Hunter fits in a real estate automation system
Foreclosure Flip Deal Hunter is designed for a specific recurring job: monitors residential listing portals and public foreclosure/sheriff-sale auctions for distressed properties in your target markets. Filters on fixer-upper language (as-is, must sell, investor special, needs TLC, estate sale), pulls public county records for liens and ownership, estimates ARV using comps, applies the 70% rule against your max purchase price and rehab budget, and grades each property A/B/C for fix-and-flip viability. Maintains a deduplicated deal pipeline in a spreadsheet and sends a ranked email digest of new qualifying properties every morning. 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 Realtor, Google Sheets, Follow Up Boss, and Slack 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.
Pull target markets, price ceilings, rehab budget, and fixer keywords from the configured fields
Scrape Realtor.com listings in each target market matching keywords and price range
Scrape county sheriff-sale, foreclosure-auction, and tax-sale portals serving each market
Enrich each candidate with comps, ARV estimate, rehab estimate, and lien/ownership signals
Apply the 70% rule and grade A/B/C against margin, condition, and exit strategy
Compare against the deal pipeline sheet to drop duplicates and previously surfaced properties
Integrations used
Foreclosure Flip Deal Hunter connects Realtor, Google Sheets, Follow Up Boss, and Slack.
Realtor
Connected in this agent
Google Sheets
Connected in this agent
Follow Up Boss
Connected in this agent
Slack
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