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Riaz Lea replied to the discussion Scraping prices and availability from travel booking websites in the forum General Web Scraping a year ago
Reply to Scraping prices and availability from travel booking websites
Storing scraped travel data in a database allows me to analyze trends over time, such as price fluctuations or seasonal availability changes.
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Riaz Lea replied to the discussion How to scrape product availability from an e-commerce website? in the forum General Web Scraping a year ago
Reply to How to scrape product availability from an e-commerce website?
To avoid being flagged, I randomize request intervals and rotate proxies. These small adjustments make my scraper less detectable.
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Riaz Lea replied to the discussion Scraping car listings with prices using Node.js and Cheerio in the forum General Web Scraping a year ago
Reply to Scraping car listings with prices using Node.js and Cheerio
To improve efficiency, I save the scraped data directly into a database, which allows for easier querying and avoids re-scraping the same data repeatedly.
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Riaz Lea changed their photo a year ago
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Riaz Lea became a registered member a year ago
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Bituin Oskar replied to the discussion Tracking discount percentages on e-commerce websites with Ruby in the forum General Web Scraping a year ago
Reply to Tracking discount percentages on e-commerce websites with Ruby
Using caching for previously scraped pages saves time and bandwidth, especially when monitoring discounts that don’t change frequently.
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Bituin Oskar replied to the discussion How to scrape product information from BestBuy.com using JavaScript? in the forum General Web Scraping a year ago
Reply to How to scrape product information from BestBuy.com using JavaScript?
Using rotating proxies and randomized headers can help the scraper avoid detection by BestBuy’s anti-bot systems. Sending multiple requests from the same IP address can lead to blocking, so using proxies distributes traffic across different IPs. Randomizing headers such as user-agent strings makes the requests appear more like those of real…
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Bituin Oskar replied to the discussion What data can I scrape from Cars.com for car listings using Python? in the forum General Web Scraping a year ago
Reply to What data can I scrape from Cars.com for car listings using Python?
To prevent being detected by Cars.com’s anti-scraping measures, rotating proxies and user-agent strings is essential. Sending requests from the same IP address increases the risk of being blocked, so proxies distribute requests across multiple IPs. Randomizing user-agent headers ensures that requests mimic real browsers and devices. These…
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Bituin Oskar replied to the discussion How can I extract public record details from PublicRecordsNow.com? in the forum General Web Scraping a year ago
Reply to How can I extract public record details from PublicRecordsNow.com?
Incorporating proxies and rotating user-agent headers is an essential strategy for avoiding detection when scraping PublicRecordsNow.com. Sending multiple requests from the same IP address increases the risk of being flagged or blocked. Rotating proxies distributes traffic across multiple IPs, while user-agent rotation ensures requests mimic…
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Bituin Oskar replied to the discussion How to scrape product details from Chewy.com using Python? in the forum General Web Scraping a year ago
Reply to How to scrape product details from Chewy.com using Python?
Using proxies and rotating user-agent headers is an effective way to avoid detection by Chewy’s anti-scraping measures. Sending multiple requests from the same IP address increases the risk of being blocked, so proxies distribute the traffic across different IPs. Randomizing user-agent strings makes the scraper appear more like real user…
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