Eviction Record Data Aggregation for Tenant-Rights Outreach
Discover how DataSOS helped a housing nonprofit collect, normalize, and act on eviction records across 30+ US county court systems improving outreach accuracy by 80% and cutting research time by 90%.
Client
GlobalRetail Inc.
Industry
Automotive
Region
United States
Challenges
Eviction data in the United States is public record but accessing it is anything but simple. Court systems across the country operate independently, each maintaining their own portal, record format, and access rules. For tenant-rights organizations and housing advocates, this fragmentation is a daily operational problem. The data they need to identify at-risk households, plan outreach, and build legal cases is scattered across dozens of county systems with no standardized way to retrieve it.
Our client – a housing nonprofit operating across multiple US states was spending an enormous amount of staff time manually searching county portals, downloading PDFs, and manually entering records into spreadsheets. Despite the effort, their data was always incomplete, frequently outdated, and impossible to query at the scale their outreach programs required.
- Eviction records fragmented across 30+ county court systems with no unified portal or API
- Manual "search, download, re-enter" workflow consuming 3-4 staff hours per county per week
- Records available only as unstructured PDFs or scanned documents requiring manual parsing
- No standardized field naming case numbers, filing dates, and party names formatted differently per county
- Data lag of 2-4 weeks between court filing and team awareness, reducing outreach effectiveness
- No ability to run cross-county queries or identify patterns across jurisdictions
- Risk of missing high-priority eviction filings due to manual monitoring limitations
Goals & Objectives
The client needed a system that could monitor, collect, and centralize eviction data across their entire operating geography automatically, accurately, and on a schedule aligned with court update cycles. Beyond just collection, the data needed to be structured and searchable so caseworkers could act on it immediately, without additional processing.
Automate Cross-County Data Collection
Replace manual portal monitoring with an automated pipeline that checks 30+ county systems on a scheduled basis and captures new filings as they are posted without exception.
Normalize Unstructured Court Records
Parse PDFs and HTML-based court records into a consistent, structured schema standardizing party names, case types, filing dates, and geographic identifiers across all jurisdictions.
Enable Cross-Jurisdictional Querying
Build a centralized, queryable database that allows caseworkers to filter, search, and export eviction records by county, date range, case type, or respondent demographics.
Eliminate Research Lag
Reduce the gap between a court filing and the team's awareness of it from weeks to hours, enabling timely outreach to tenants before eviction proceedings advance further.
Scale Without Adding Headcount
Design the system to accommodate new counties and jurisdictions as the nonprofit's geographic coverage expands without requiring additional engineering work each time.
Reporting Turn Data Into Advocacy
Generate scheduled trend reports by county, case type, and filing volume giving leadership the evidence needed for grant applications, policy briefs, and program planning.
Solution
DataSOS designed a fully automated civil court data pipeline tailored to the patchwork reality of US county court systems. Rather than attempting a single universal scraper, each county portal received a dedicated extraction module accounting for its specific HTML structure, session handling requirements, and document format.
- Dedicated county-specific scrapers were built for each of the 30+ target jurisdictions, handling session-based logins, search form submissions, paginated result sets, and both HTML and PDF document formats.
- A PDF parsing layer using OCR and structured extraction converted scanned and digital court documents into machine-readable records capturing case numbers, party names, filing dates, case types, and court locations with high accuracy.
- A normalization engine mapped inconsistent field naming and formatting across all county systems into a unified schema resolving variations in date formats, name ordering, jurisdiction codes, and case classification terminology.
- A scheduling system runs extractions on a county-by-county cadence aligned with each court's update frequency ensuring new filings are captured within hours of being posted to the public portal.
- A centralized dashboard gives caseworkers real-time search, filter, and export access across the full dataset with alert triggers for high-priority case types or specific geographic areas of concern.
Results
90%
Reduction in Manual Research Time
30+
County Systems Integrated
80%
Improvement in Outreach Accuracy
<2hrs
Filing-to-Awareness Time
Technologies Used
That's the difference between intervention and just reaction.
Before DataSOS, we were always chasing data that was weeks old. Now our caseworkers have same-day filings in front of them before most tenants even know their landlord has gone to court. That's the difference between intervention and just reaction.