Fast Food Pricing Scraper Platform
Engineered a scalable data pipeline for Del Taco to collect menu pricing across 100+ store locations using public APIs.
GitHub Repo Not Public
Problem
Manual pricing collection across many stores was slow, error-prone, and difficult to keep current for competitive analysis.
Solution
Implemented reliable request handling, product normalization, and a CLI export workflow to automate collection and generate structured CSV outputs.
Architecture
- API client with retry logic, timeout controls, and backoff strategies for resilience.
- Normalization and indexing layer to map inconsistent product responses into stable records.
- CLI pipeline that orchestrates collection, aggregation, and CSV export.
Tech Stack
PythonREST APIsData ProcessingCSV