Our Data Methodology
How we build and maintain the most accurate boat & RV storage directory.
1. Initial Discovery
We use multiple data sources to discover boat and RV storage facilities across the US, including Google Maps, business directories, and state licensing databases. We filter out general self-storage facilities to ensure every listing in our directory is specifically designed for boats, RVs, or both.
2. Bulk Cleaning
Raw data is deduped, standardized, and filtered. Permanently closed facilities are excluded. Businesses that clearly don't specialize in boat or RV storage are removed. We keep "unverified" data rather than discard it — every edge case is reviewed.
3. Row Validation
Each business is individually reviewed to confirm it is a legitimate boat and/or RV storage facility accepting new tenants. We use a YES/MAYBE/NO classification. MAYBE records are retained with lower confidence scores. NO records are excluded from the published directory.
4. Enrichment
For each validated facility, we visit their website to extract structured data: storage types offered, maximum vehicle dimensions, pricing, security features, amenities, and availability status. We use a one-field-at-a-time extraction strategy to maximize accuracy. Each extracted value includes a confidence score.
5. Confidence Scoring
Every enriched data point carries a confidence score from 0.0 to 1.0. Values below 0.5 are not displayed on the site — we show "Contact for details" instead. Values between 0.5 and 0.8 are shown with an "Unverified" tag. Only values at 0.8+ are displayed as verified facts.
6. Ongoing Maintenance
Data is refreshed on a rolling quarterly basis. High-traffic city pages are prioritized for re-verification. When facilities are claimed by their owners, data updates are applied immediately. Users can report incorrect data via our contact form.
Our Zero-Fabrication Policy
We never invent data. If we can't find pricing information for a facility, we display "Contact for pricing." If we can't confirm storage types, we display "Contact for details." A gap in our data is always preferable to incorrect information. Every data point is traceable to a specific source URL.