Apratim Chaudhuri
Python Developer | Excel, PDF & API, Scraping | Quick Sol
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Why “quick automation” often breaks later
I’ve seen many “quick automation” scripts fail after a few weeks — not because of Python, but because edge cases were ignored.
Common misses:
Empty or partial inputs Unexpected formats Duplicate or inconsistent data
Before writing code, I...
Why I avoid over-engineering automation
Not every automation needs a framework, CI/CD, Fancy dashboards
Sometimes a single Python file with clear logic is enough.
Over-engineering increases Maintenance, Fragility and cost
The best automation is the one that keeps working quietly.
During testing, we needed specific VINs with multiple trim options.
Manually finding them was painful and slow.
I built a small Python script that:
Pulled VIN prefixes,Queried available trims,Filtered only VINs with 10+ trim options
It wasn’t a “product” — just a focused...
No API. No DB. No UI automation. Still delivered value. In one project, automation was blocked from all sides: No database access, No APIs, UI automation rejected due to security
Instead of forcing tools, I built supporting utilities:
Data extractors Log analyzers Input validators
...
Exploring a lightweight Python approach to extract business listing data from public directories into Excel.
The focus is on:
looping through pages safely
structured output (CSV / Excel)
avoiding manual copy-paste
Useful for directory listings and research tasks.