Build a Product Database from Multiple Suppliers
Extract product data from multiple supplier catalogues and consolidate it into a single normalized database.
Pull structured product data from a competitor's catalogue — names, prices, descriptions, and images — for competitive analysis.
ToolCatalogue ScraperUnderstanding a competitor's full product range, pricing structure, and how they describe their products is valuable intelligence — but manually copying data from hundreds of product pages is not a viable research method. Most teams end up with incomplete spot-checks instead of a complete picture.
Catalogue Scraper's `scrape_catalogue` skill extracts structured product data across an entire catalogue in one job: names, prices, descriptions, SKUs, categories, and images. The output is a clean dataset you can compare against your own range, analyze for pricing patterns, or feed into a competitive intelligence workflow.
Product managers, pricing analysts, and market research teams use this to build baseline competitor datasets, track product range changes over time, and identify positioning gaps between their catalogue and a competitor's.