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How can I scrape for product reviews and ratings on e-commerce sites?
Many e-commerce sites load reviews through AJAX or API calls. I inspect the network requests to pull review data directly from these sources.
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7 Replies
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Using Scrapy or BeautifulSoup with pagination, I scrape multiple pages of reviews and aggregate them by product to analyze sentiment.
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For sites with multiple review categories, like features, durability, and value, I set up structured data models to store each review metric separately.
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If reviews are loaded dynamically, Playwright can load each page fully before scraping, ensuring that no reviews are missed.
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I add timestamps to scraped reviews to track how recent feedback is, which is helpful for analyzing trends over time.
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For text-heavy reviews, NLP tools like VADER or TextBlob allow me to analyze sentiment and categorize feedback.
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- Extracting star ratings along with text comments helps me correlate positive or negative sentiment with specific aspects of the product.
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If the site provides only a summary of reviews, I set up periodic scraping to capture updates and track changes in ratings over time.
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