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Nanabush Paden replied to the discussion How to scrape weather data from meteorological websites? in the forum General Web Scraping a year ago
Reply to How to scrape weather data from meteorological websites?
For frequently updated weather data, I use Selenium to refresh the page and capture new information. It’s slower but ensures I get real-time updates.
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Nanabush Paden replied to the discussion How to scrape customer reviews from a hotel booking site? in the forum General Web Scraping a year ago
Reply to How to scrape customer reviews from a hotel booking site?
Pagination is tricky, but I usually rely on detecting the “Next Page” button’s link. This ensures my scraper doesn’t miss any reviews, even if they’re spread across multiple pages.
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Nanabush Paden replied to the discussion How to scrape real-time stock prices from a financial website? in the forum General Web Scraping a year ago
Reply to How to scrape real-time stock prices from a financial website?
One challenge I’ve faced is handling frequent page updates. Using tools like Selenium with short delays helps capture the most recent data accurately without overwhelming the website.
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Nanabush Paden replied to the discussion How to extract images from a website during scraping? in the forum General Web Scraping a year ago
Reply to How to extract images from a website during scraping?
I use the requests library to download images directly after extracting their URLs. It’s fast and simple for static sites.
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Nanabush Paden replied to the discussion How to extract photo product prices from Shutterfly.com using Node.js? in the forum General Web Scraping a year ago
Reply to How to extract photo product prices from Shutterfly.com using Node.js?
Adding pagination functionality to the Shutterfly scraper is essential for collecting all available product data. Products are often distributed across multiple pages, and automating navigation through the “Next” button ensures a comprehensive dataset. Random delays between page requests mimic human browsing behavior, reducing the risk of…
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Nanabush Paden changed their photo a year ago
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Nanabush Paden became a registered member a year ago
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Hadriana Misaki replied to the discussion What data can I scrape from Nordstrom.com for product reviews? in the forum General Web Scraping a year ago
Reply to What data can I scrape from Nordstrom.com for product reviews?
Error handling is crucial to ensure the scraper runs reliably even when Nordstrom changes its page layout. If elements like product prices or ratings are missing, the script should skip those items or log the error without crashing. Wrapping the parsing logic in conditional checks or try-catch blocks helps maintain the scraper’s robustness.…
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Hadriana Misaki replied to the discussion What data can be scraped from Yelp.com using Ruby? in the forum General Web Scraping a year ago
Reply to What data can be scraped from Yelp.com using Ruby?
Handling pagination allows scraping data from multiple pages, ensuring a comprehensive dataset. Yelp displays limited results per page, and programmatically following the “Next” button helps collect all listings in a category. Random delays between requests make the scraper less likely to be detected. With pagination support, the scraper…
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Hadriana Misaki replied to the discussion How to scrape job postings from Upwork.com using Python? in the forum General Web Scraping a year ago
Reply to How to scrape job postings from Upwork.com using Python?
Improving the scraper to handle pagination ensures the collection of a complete dataset from Upwork. Job listings are often spread across multiple pages, and automating navigation to the “Next” button allows for scraping all available jobs. Random delays between requests mimic human browsing behavior, reducing the likelihood of detection. With…
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