Case Studies
Real examples of data cleaning, web scraping, and automation work — with clear deliverables and practical engineering walkthroughs.
- ✅ What the problem was
- ✅ What was built
- ✅ Engineering approach
- ✅ Deliverables & results
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New case studies get added as tools and client-style builds are completed.
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CSV Cleaner Automation
Python pipeline to standardize messy CSV files: trim whitespace, normalize text, handle duplicates, and export clean outputs.
- ✅ Dedupe + formatting
- ✅ Column-aware cleaning
- ✅ Clean CSV/Excel-ready output
Web Scraping Pipeline
Extract structured data from websites into clean CSV/JSON deliverables with clear field definitions and consistent formatting.
- ✅ Field mapping
- ✅ Source URLs included
- ✅ Clean dataset delivery
Extractor Engine
A modular extraction system that isolates target fields into a defined schema and produces clean, standardized CSV/JSON outputs ready for automation.
- ✅ Schema-driven extraction
- ✅ Standardized headers + formatting
- ✅ Built to pair with validation
Validator Engine
A rule-based validation system that enforces required fields, checks formats, flags issues, and outputs a dataset you can trust for imports, reporting, and automation.
- ✅ Required fields + format rules
- ✅ Invalid row flagging / separation
- ✅ Summary report (issues + counts)
Public Records Scraping Pipeline
Python scraping and data processing workflow built to extract records from public-facing websites, normalize inconsistent listings, and deliver clean CSV outputs.
- ✅ Browser automation + parsing
- ✅ Clean, structured CSV output
- ✅ Built for future scaling
Custom Automation
Need something specific? CRK Dev builds focused Python automations for repetitive tasks — data, reporting, file processing, and workflow helpers.
- ✅ Clear scope + deliverables
- ✅ Quick turnaround
- ✅ NDA-friendly