The data that drives off-market deals
If you work off-market deals, you already know the game runs on data. Tax-delinquent lists, probate filings, pre-foreclosure notices, absentee owner rolls, code violation records. The investors who close consistently are the ones whose data is fresher, more targeted, and delivered faster than the competition's.
The question is where that data comes from and how much it costs to get.
What the platforms give you
The all-in-one investor platforms bundle nationwide property records into a subscription UI. They work well for getting started. You search, filter, export, and run your campaigns.
The limits show up when you scale. The data refreshes on their schedule, not yours. Exports are capped or cost extra. The ownership records can be months or years stale in some counties. And every investor in your market has access to the same data from the same platform, so the lists you pull are the same lists your competitors pull.
For investors who work 5 to 15 specific counties and need data that is fresher, more targeted, or in a different format than what the platforms offer, custom scraping fills the gap.
The four data types that matter most
1. Tax-delinquent rolls
The number one motivated-seller signal. Property owners who are behind on taxes are statistically more likely to sell at a discount. County tax collectors publish delinquent rolls, but each county formats them differently, updates on its own schedule, and serves them through its own website.
What a custom pipeline delivers: delinquent parcel IDs, owner names, mailing addresses, years delinquent, amount owed, and assessed value. Normalized into one schema regardless of which county the data comes from. Delivered daily or weekly to your CRM, Google Sheet, or skip trace provider.
2. Probate filings
When a property owner dies, the estate typically goes through probate. The personal representative often wants to liquidate real estate quickly. Probate filings are public records held at the county clerk or probate court level.
What a custom pipeline delivers: decedent name, personal representative, filing date, case number, property addresses linked to the estate (cross-referenced from the assessor), and estimated property value. Filtered to your target counties, your minimum equity threshold, and your preferred property types.
3. Pre-foreclosure notices
Lis pendens filings and notices of default signal that a property is heading toward foreclosure. The window between filing and auction is the window for a direct deal.
What a custom pipeline delivers: property address, owner, lender, filing date, default amount, and estimated equity. Delivered within days of the filing date, not weeks later when the list brokers package it.
4. Absentee owner lists
Owners whose mailing address differs from the property address are often investors, landlords, or heirs who may be willing to sell, especially if the property is in a market they no longer actively manage.
What a custom pipeline delivers: owner name, property address, mailing address, years of ownership, assessed value, and tax status. The mailing address mismatch is the filter. Cross-referencing with tax delinquency or code violations creates a high-signal list.
Where the data lives
All four data types come from county-level public records:
- County assessor for property details, ownership, and valuations
- County tax collector for delinquent rolls and payment status
- County clerk / probate court for probate filings
- County recorder for lis pendens and deed transfers
The US has 3,143 counties. Each one has its own website, its own search interface, and its own data format. There is no nationwide API for county records. The enterprise data providers aggregate this data but price it for mortgage servicers and title companies, not for individual investors running direct mail campaigns.
This is exactly why custom county scraping works as a service. The data is public. The challenge is extracting it from thousands of individual sources, normalizing it into a consistent schema, and keeping the pipeline running as county websites change.
What it costs
For a real estate investor, the relevant comparison is:
| Approach | Monthly cost | Data freshness | Format flexibility |
|---|---|---|---|
| Investor platform subscription | $99 to $599/mo | Weekly to monthly | Locked in platform UI |
| Enterprise data API | $500 to $5,000/mo | Varies | API or bulk download |
| List broker (one-time) | $0.10 to $0.50/record | 30 to 90 day old | CSV |
| Custom county scraping | from $499/mo | Daily to weekly | Your choice |
Custom scraping is not cheaper than a basic platform subscription. It is cheaper than enterprise data, more flexible than both, and fresher than list brokers. The value is precision: you pay for the counties you work, not the 3,400 you do not.
For investors doing more than 10 deals per year in specific markets, the ROI on fresher data is straightforward. One deal found a week earlier because the delinquent list was refreshed daily instead of monthly pays for the service many times over.
What a pipeline looks like in practice
For a recent proptech client, I built a county records pipeline covering 932 counties with 42 normalized fields per record and monthly change detection reports. The setup took about 6 weeks. The pipeline has been running for over a year with a 98.1% extraction rate.
A typical investor engagement is smaller: 5 to 15 counties, daily or weekly refresh, delivered to Google Sheets or a CRM like REsimpli or InvestorFuse.
The setup takes 1 to 2 weeks depending on how many counties are involved and how complex their websites are. After that, the pipeline runs on schedule and I handle the maintenance when county sites update their layouts.
If you want to see the full service page with output fields, sample data, pricing, and FAQ, the county records data service page has all the details. If you want to start with a scoping call, book 30 minutes and I will tell you exactly what your target counties will cost and how long setup takes.
What to ask before hiring anyone for this
Whether you hire me or someone else, these are the questions that separate a good county data service from a bad one:
- How many counties have you actually scraped? Not "how many can you scrape." How many have you built, maintained, and delivered data from?
- What happens when a county site changes? This is the question that reveals whether you are buying a one-time script or a maintained pipeline.
- Can I get the data in my own system? If the answer involves logging into another dashboard to download CSVs, keep looking.
- What fields do you normalize? If they cannot name the specific fields and show a sample record, the pipeline is probably not built yet.
- What is the refresh cadence per county? "Daily" is possible for most counties. "Real-time" is not. Know what you are buying.
The county records data service answers all of these with specific numbers. That is the bar.