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AI web scraping augments data collection

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Web scraping involves writing a software robot that can automatically collect data from various webpages. Simple bots might get the job done, but more sophisticated bots use AI to find the appropriate data on a page and copy it to the appropriate data field to be processed by an analytics application. AI web scraping-based use cases include e-commerce, labor research, supply chain analytics, enterprise data capture and market research, said Sarah Petrova, co-founder at Techtestreport. These kinds of applications rely heavily on data and the syndication of data from different parties. Commercial applications use web scraping to do sentiment analysis about new product launches, curate structured data sets about companies and products, simplify business process integration and predictively gather data.