Marcial Samia
Forum Replies Created
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Saving product data in a local SQLite database allows for easy querying, particularly for high-demand categories like electronics.
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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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Engaging with the site’s support or developer team can sometimes provide more guidance on how best to scrape or gather data.
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If the site offers an API with price data, using it is preferable, as APIs are often more stable and intended for data retrieval.
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- Some sites provide inventory information in JSON, accessible via network requests. Pulling this data directly is often more accurate than HTML scraping.
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Spectrogram analysis can reveal patterns in audio for specific tasks, though it requires more advanced machine learning techniques.
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Randomizing headers and proxies helps reduce detection when accessing popular auctions, particularly for high-value items.
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Organizing items by genre, like books, games, or electronics, keeps data structured and enables targeted trend analysis.
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Randomizing user-agents and rotating proxies helps prevent IP bans, especially on high-traffic sections of DMM.com.
