The brief
Problem, approach, result.
Problem
Sourcing up-to-date company data and financial statements from the National Court Register (KRS) was a slow, manual chore, and the financial statements arrive as dense XML.
At the volume the business needed, doing this by hand simply wasn’t viable.
Approach
- Built distributed scraping with incremental updates so only what changed gets reprocessed.
- Wrote a parser for the XML financial statements that turns filings into structured, queryable data.
- Synced the results into the CRM and exposed everything through a clean API.
Result
The system processes over a million records monthly with 99.9% accuracy and full update automation.
Time to source company data dropped by 95%, turning a research bottleneck into an instant lookup.
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