The Price Arbitrage Finder is a Python-based project designed to uncover pricing differentials between Amazon and Alibaba. It starts with the creation of link lists, proceeds to web scraping data from both platforms, and culminates in the construction of datasets. Utilizing a correlation matrix, the project identifies patterns in brand and title, offering valuable insights for businesses engaged in cross-platform commerce.
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Link List Generation: Creation of comprehensive link lists for targeted scraping.
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Web Scraping: Data extraction from Amazon and Alibaba for product details and pricing.
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Dataset Creation: Compilation of datasets for analysis and comparison.
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Correlation Matrix: Development of a matrix to reveal title and brand correlations between datasets.
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Ranking System: Utilization of correlation values to rank outcomes and highlight potential arbitrage opportunities.