Case study · 10 / 11
E-commerce Scraping Engine
Extracts pricing, stock & SKU data from e-commerce sites at scale.
The problem and our solution
01The problem
Tracking competitor pricing, stock and SKUs across e-commerce sites by hand was slow, incomplete and always out of date.
02What we did
We built a scraping engine on Scrapy and BeautifulSoup that pulls pricing, stock and SKU data at scale and delivers it as clean, structured data.
Scope
What we designed & built.
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01
Crawling pipeline
Scrapy spiders that cover product catalogues reliably and at scale.
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02
Data extraction
Pricing, stock status and SKU fields parsed into a consistent schema.
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03
Clean output
Structured data ready for analysis or import into the client's systems.
The outcome
What the client has now.
- Market data collected automatically instead of by hand.
- Pricing and stock visibility across competitors.