@Ramazan
Ramazan Manawydan
Hi, I'm Ramazan Manawydan, and I come from an IT background
Forum Replies Created
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- Parsing JSON responses in Java enables faster data extraction if travel package details are available via AJAX.
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- Organizing data by brand or product type makes it easier to compare similar items, like TVs or appliances, across different sellers.
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- I focus on high-priority products only, reducing the number of requests while ensuring key items are monitored for price changes.
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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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For large inventories, I focus on high-demand products only, which reduces the load on my scraper and avoids unnecessary data collection.
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- For video data, frame extraction at specific intervals allows me to capture key visual elements without processing every frame.
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Scheduling periodic scrapes enables tracking auction trends, such as price changes as auctions near their end time.
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- Randomized delays and IP rotation help reduce detection when frequently accessing popular product listings.
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- Organizing rentals by genre or product type makes the data more useful for analysis, allowing me to identify trending items.
