ZenRows’ guide How to Extract Customer Sentiment From Large-Scale Review Data explains how to implement sentiment analysis by scraping and structuring vast amounts of online reviews and social media feedback. It covers emotion mining to bridge the gap between raw data and actionable insights, detailing key data sources and techniques for extracting and cleaning review data. ZenRows’ web scraping API automates data collection from dynamic, protected sites, handles JavaScript rendering, CAPTCHAs, and proxy rotation, ensuring reliable, scalable extraction. This enables businesses to monitor brand perception, prioritize impactful feedback, detect emerging issues, and make data-driven decisions that improve customer experience and ROI.

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