A modular Python tool for scraping structured data from paginated websites.
- Scrapes paginated catalogue pages
- Extracts structured product metadata
- Normalizes data fields
- Converts ratings into numeric scores
- Generates analytics-friendly datasets
- Command line interface
- Modular architecture
Target Website
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HTTP Request Layer
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HTML Document Retrieval
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Content Parsing (BeautifulSoup)
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Structured Data Extraction
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Field Normalization
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Dataset Construction
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CSV Export
Many websites contain valuable information but do not provide APIs.
Structured scraping pipelines enable:
- market research
- product monitoring
- dataset creation
- automated information gathering
This project demonstrates a reusable scraping architecture capable of collecting and normalizing public web data.