Land Scout Agent
Underwriter opens Zillow, finds a property in a target county, copies the address, opens Land ID, looks up the parcel, visually assesses road frontage and width-to-depth ratios from satellite imagery, checks timber quality and slope, calculates how many child parcels could be created, checks price-per-acre comps in the area, then decides whether to pass it to phase-one underwriting. This takes 15-30 minutes per property. With 30-60 properties evaluated daily, the team spends 15-25 hours per week just gathering and organizing data before any real evaluation happens.
Underwriter opens Land Scout dashboard and sees a queue of opportunities that already passed automated screening. Each opportunity shows Zillow listing details, Regrid parcel data, satellite imagery with boundary overlay, acreage, ownership, assessed value, price-per-acre calculation, and links to source data. Underwriter reviews the consolidated information and decides in 3-5 minutes whether to escalate to underwriting, reject with a reason code, or flag for later review. The team spends 3-5 hours per week on screening instead of 15-25 hours, freeing time for subdivision layout analysis and deal evaluation.
Manual property screening burns 15-25 hours per week per underwriter
Land underwriters spend 15-30 minutes per property copying addresses from Zillow into GIS tools, checking parcel boundaries, calculating price-per-acre ratios, and hunting for ownership records.
Open Zillow, copy address, open Land ID, look up parcel, check satellite imagery, calculate metrics, decide to pass or reject. 15-30 minutes of toggling between tools before human judgment begins.
30-60 listings evaluated per underwriter per day. At 15-30 minutes per property, that's 7.5-30 hours per week on data gathering alone.
You recently hired two full-time US-based underwriters because deal flow volume exceeded your team's capacity to screen properties manually.
One dashboard shows new listings already enriched with GIS data, so underwriters review deals instead of gathering data
Reduce from 15-30 minutes per raw listing to 3-5 minutes per opportunity because all GIS data, satellite imagery, and calculated metrics are pre-gathered and organized.
Eliminate 15-25 hours per week per person spent toggling between Zillow, Land ID, Google Earth, and spreadsheets. That's 60-80% reduction in manual data gathering.
One dashboard shows listing details, parcel boundaries, ownership, assessed value, satellite imagery with boundary overlay, calculated metrics, and links to source data. No more context switching.
Track rejection reasons over time to identify patterns and tighten filters. If logged timberland shows up repeatedly as a rejection reason, that becomes a new filter criterion.
Land Scout monitors your target counties daily, pulls Regrid parcel data for every new listing, applies your acreage and pricing filters, and surfaces qualified opportunities in one dashboard with satellite imagery, boundary overlays, and all the context your team needs to approve or reject in under five minutes. The build consolidates Zillow listings, GIS parcel boundaries, ownership records, acreage, assessed values, and price-per-acre calculations into one screen so underwriters skip the repetitive data collection loop and focus on the subdivision analysis where your expertise creates alpha.
How Land Scout screens properties
The agent monitors your target counties daily, enriches listings with GIS data, applies your acquisition criteria, and surfaces qualified opportunities in a single review dashboard.
The agent scrapes Zillow listings daily in your specified counties and deduplicates properties using address and parcel ID matching. Only new listings that haven't been evaluated before are processed.
For each Zillow listing, the agent geocodes the address, queries Regrid API for the parcel at that location, and retrieves parcel boundaries, ownership records, acreage, assessed value, and legal descriptions. All GIS data is stored alongside the listing.
The agent applies county-specific filters: acreage ranges (typically 20-50 acres), price-per-acre ratio thresholds, and county whitelists. Properties that pass basic criteria become opportunities. Advanced evaluation like road frontage analysis and width-to-depth ratios stay manual so you retain your competitive advantage.
Underwriters see a queue of opportunities that passed automated screening. Each opportunity shows Zillow listing details, Regrid parcel data, satellite imagery with boundary overlay, calculated metrics, and quick links to view the property in Zillow and Regrid.
Underwriters review each opportunity and mark Escalate to Underwriting, Reject with reason code, or Maybe for later. Rejection reasons are tracked to continuously improve filtering accuracy.
Zillow rural land listings +
Daily monitoring of Zillow listings in target counties. The agent scrapes new properties, extracts listing price, acreage, location, description, photos, and agent contact information.
Property addresses from listings +
Street address and county from each Zillow listing, used to geocode and query Regrid API for parcel data.
County-specific acquisition criteria +
Acreage ranges, price-per-acre ratio thresholds, and county whitelists configured by the underwriting team. Criteria vary by county based on your target markets and subdivision strategy.
Regrid API parcel data +
Parcel boundaries, ownership records, acreage, assessed value, legal descriptions, and property identifiers retrieved via Regrid API for each address.
Scrape Zillow listings daily +
Monitor target counties for new rural land listings. Deduplicate using address and parcel ID matching to avoid re-processing the same property.
Geocode addresses and enrich with Regrid data +
Convert each Zillow address to latitude/longitude, query Regrid API for the parcel at that location, and retrieve parcel boundaries, ownership, acreage, assessed value, and legal descriptions.
Calculate metrics and apply filters +
Calculate price-per-acre (listing price divided by acreage), assessed value ratio, and other basic metrics. Filter properties against county-specific criteria: acreage range, price-per-acre threshold, county whitelist.
Consolidate data and prepare for review +
Combine Zillow listing details, Regrid parcel data, satellite imagery, calculated metrics, and source links into a single opportunity record ready for underwriter review.
Track rejection reasons for filter improvement +
When underwriters reject an opportunity, capture the reason code. Analyze rejection patterns over time to identify which filters need adjustment or which new criteria should be added.
Review dashboard with qualified opportunities +
A queue of properties that passed automated screening, each showing Zillow listing details, Regrid parcel data, satellite imagery with boundary overlay, calculated metrics, and links to source data.
Opportunity detail view +
Full context for each property: listing price, acreage, description, photos, parcel boundaries, ownership, assessed value, legal description, price-per-acre calculation, and quick links to Zillow and Regrid.
Approval/rejection workflow +
Underwriters mark each opportunity as Escalate to Underwriting, Reject with reason code, or Maybe for later review. Decisions are recorded and tracked.
Rejection analytics dashboard +
Summary of rejection reasons by county, most common rejection criteria, and approval vs. rejection rates over time. Helps identify which filters to tighten and which new criteria to add.
Is this for you?
- + Land investment underwriters - Teams evaluating 30-60 rural land listings daily. You need to screen properties quickly against acreage, pricing, and location criteria before passing qualified deals to detailed analysis. This agent eliminates the repetitive data gathering loop so you focus on subdivision layout and deal evaluation.
- + Acquisition teams managing high deal flow - Companies that recently hired additional underwriters because manual screening couldn't keep pace with listing volume. This agent scales your screening capacity without proportional headcount growth.
- + Teams with documented acquisition criteria - You have county-specific acreage ranges, price-per-acre thresholds, and location preferences documented or in your head. The agent applies these criteria automatically so you only review properties that meet baseline requirements.
- + Operators who want to protect their competitive advantage - You have proprietary evaluation methods (road frontage analysis, width-to-depth ratios, timber quality assessment, subdivision layout design) that you want to keep manual and human-controlled. This agent handles data gathering so you retain the judgment calls that create alpha.
- - Teams without documented acquisition criteria - If your screening process is entirely subjective or changes deal-to-deal, the agent won't have clear filters to apply. You need at least basic criteria (acreage range, price-per-acre threshold, target counties) to get value.
- - Operators who want fully automated deal evaluation - This agent screens for basic criteria and surfaces opportunities. It does not automate road frontage calculations, width-to-depth analysis, timber quality assessment, or subdivision layout design. Those stay manual because they require human judgment and domain expertise.
- - Teams focused on off-market or broker-sourced deals - Land Scout monitors Zillow and other public listing sites. If your deal flow comes primarily from direct seller outreach or broker relationships, this agent won't capture those opportunities. (Off-market deal automation is a separate project.)
- - Companies needing real-time or sub-daily monitoring - The agent runs daily screening. If you need hourly or real-time alerts for new listings, this approach won't meet that requirement.
Pricing and build model
Land Scout is a scoped custom build that includes the monitoring agent, GIS enrichment workflow, filtering logic, and review dashboard. Ongoing costs include the Regrid API subscription (Standard tier, $375/month for nationwide parcel data access) and hosting on Railway.
- Scoped build covers the agent, dashboard, and initial filter configuration based on your documented criteria.
- Regrid API subscription ($375/month Standard tier) is required for parcel data enrichment. This is a direct cost to you, not included in the build fee.
- Railway hosting is minimal cost for this workload (daily scraping, low-volume dashboard traffic).
- Usage-based runs: the agent executes daily monitoring and enrichment. No per-property fees; the Regrid subscription covers unlimited parcel lookups within the Standard tier rate limit.
- Future enhancements (road frontage calculations, advanced GIS analysis, multi-source listing aggregation) are separate scoped builds.
How much time will this save my underwriting team per property?
Land Scout reduces screening time from 15-30 minutes per raw listing to 3-5 minutes per opportunity. Because all GIS data, satellite imagery, and calculated metrics are pre-gathered and organized in one dashboard, underwriters skip the repetitive loop of toggling between Zillow, Land ID, Google Earth, and spreadsheets. With 30-60 properties evaluated daily per underwriter, that's 15-25 hours per week freed up for actual deal analysis instead of data collection.
What data does Land Scout pull for each property?
For each Zillow listing, the agent retrieves Regrid parcel data including boundaries, ownership records, acreage, assessed value, and legal descriptions. The dashboard consolidates Zillow listing details (price, description, photos), Regrid parcel data, satellite imagery with boundary overlay, calculated metrics like price-per-acre, and quick links to view the property in Zillow and Regrid. Everything your team needs to approve or reject is visible in one screen.
Does this automate my subdivision layout analysis and road frontage calculations?
No. Land Scout handles the data gathering bottleneck so you can focus on the analysis where your expertise creates value. The agent screens for basic criteria like acreage range, price-per-acre ratio, and county location. Road frontage analysis, width-to-depth ratios, timber quality assessment, and subdivision layout design stay manual and human-controlled. This protects your competitive advantage while eliminating the tedious data collection loop.
How does the agent decide which properties to surface as opportunities?
The agent applies county-specific filters you configure: acreage ranges (typically 20-50 acres), price-per-acre ratio thresholds, and county whitelists. Properties that pass these basic criteria become opportunities in your review dashboard. As your team rejects properties, the agent tracks rejection reasons to help you identify patterns and tighten filters over time. For example, if logged timberland shows up repeatedly as a rejection reason, that becomes a new filter criterion.
What happens if a property doesn't have Regrid parcel data available?
The agent flags those properties as requiring manual lookup rather than filtering them out automatically. This prevents you from missing opportunities due to data gaps in very new subdivisions or address errors. Properties with complete enrichment data appear in the main dashboard, while flagged properties appear in a separate queue for manual GIS lookup.
Can I track which rejection reasons are most common across my target counties?
Yes. Land Scout includes a rejection analytics dashboard showing rejection reasons by county, most common rejection criteria, and approval versus rejection rates over time. This helps you identify which filters to tighten and which new criteria to add based on real patterns in your deal flow.
What are the ongoing costs after the initial build?
The main ongoing cost is the Regrid API subscription at $375 per month for the Standard tier, which covers nationwide parcel data access. Railway hosting for the agent and dashboard is minimal cost for this workload. The agent executes daily monitoring and enrichment automatically. There are no per-property fees. Future enhancements like road frontage calculations or advanced GIS analysis would be separate scoped builds.
Is this tool built for teams that already have documented acquisition criteria?
Yes. Land Scout works best when you have county-specific acreage ranges, price-per-acre thresholds, and location preferences documented or clearly defined. If your screening process is entirely subjective or changes deal-to-deal, the agent won't have clear filters to apply. You need at least basic criteria to get value from automated filtering.
parallel-workflow
parallel-workflow
Ready to eliminate the data gathering bottleneck?
Land Scout consolidates Zillow listings and GIS parcel data into one review dashboard so your underwriters spend 3-5 minutes per opportunity instead of 15-30 minutes per property. Let's scope the build, confirm your county criteria and Regrid subscription, and get your team screening deals faster.