Built · Data & Retail
Data Automation & Competitive Intelligence
Automated data collection and processing workflows that turn fragmented web data into structured, analysis-ready datasets.
How we measure success
- 01
Data collection automation rate
- 02
Normalization accuracy across sources
- 03
Pipeline execution reliability
- Status
- Built
- Industry
- Data & Retail
01The problem
A client needed competitor product and pricing data that was fragmented across disparate web sources and irregular formats.
02Why it's hard
Handling varying web structures, normalizing unstructured data points and matching products reliably.
03What we built
Engineered automated data collection, extraction and normalization pipelines delivering clean CSV and Excel datasets.
04Outcome
Solved a real data problem for a client by delivering structured, analysis-ready competitive intelligence.
Technology
- Python
- PostgreSQL
- Docker
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