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Gualtiero Wahyudi replied to the discussion How can I scrape car rental details from Turo.com using JavaScript? in the forum General Web Scraping 2 weeks ago
Reply to How can I scrape car rental details from Turo.com using JavaScript?
Handling pagination in the Turo scraper is important for collecting data across all available car listings. Automating navigation through the “Next” button ensures a more comprehensive dataset, covering vehicles from different locations and owners. Random delays between page requests mimic real user behavior, reducing the chances of…
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Gualtiero Wahyudi replied to the discussion How to scrape product availability from an e-commerce website? in the forum General Web Scraping 2 weeks ago
Reply to How to scrape product availability from an e-commerce website?
For sites with dynamic content, I use Puppeteer to load all elements fully before scraping. This ensures I don’t miss products that are loaded asynchronously.
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Gualtiero Wahyudi replied to the discussion Scraping car listings with prices using Node.js and Cheerio in the forum General Web Scraping 2 weeks ago
Reply to Scraping car listings with prices using Node.js and Cheerio
When dynamic content is involved, Puppeteer is my go-to tool for ensuring all JavaScript-rendered elements are fully loaded before scraping.
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Gualtiero Wahyudi replied to the discussion Tracking discount percentages on e-commerce websites with Ruby in the forum General Web Scraping 2 weeks ago
Reply to Tracking discount percentages on e-commerce websites with Ruby
For dynamic content, I rely on Selenium-WebDriver with Ruby to load all elements before extracting prices. It’s slower but ensures I don’t miss any data.
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Gualtiero Wahyudi replied to the discussion What data can you scrape from VRBO.com rental listings using Ruby? in the forum General Web Scraping 2 weeks ago
Reply to What data can you scrape from VRBO.com rental listings using Ruby?
Adding pagination to the VRBO scraper is essential for gathering a complete dataset. Properties are often distributed across multiple pages, so automating navigation through the “Next” button allows the scraper to collect all available listings. Random delays between requests mimic human behavior, reducing the likelihood of being flagged as a…
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Katerina Renata replied to the discussion How to extract fundraiser details from GoFundMe.com using Python? in the forum General Web Scraping 2 weeks ago
Reply to How to extract fundraiser details from GoFundMe.com using Python?
To improve the scraper’s efficiency, implementing pagination allows for the collection of more campaign data. GoFundMe often lists a limited number of fundraisers per page, so scraping all available pages ensures a more complete dataset. By automating navigation through “Next” buttons, the scraper can capture additional campaigns.…
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Katerina Renata replied to the discussion How to extract sports team names and match schedules from a website? in the forum General Web Scraping 2 weeks ago
Reply to How to extract sports team names and match schedules from a website?
For changing layouts, I write modular scrapers with separate functions for parsing different sections. This makes it easier to update the scraper when the site structure changes.
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Katerina Renata replied to the discussion How to scrape product information from BestBuy.com using JavaScript? in the forum General Web Scraping 2 weeks ago
Reply to How to scrape product information from BestBuy.com using JavaScript?
One way to enhance the scraper is by implementing error handling for unexpected changes in the website structure. BestBuy may update its HTML layout, which could cause the scraper to break. By checking for null or undefined elements before attempting to extract data, you can avoid runtime errors. Logging skipped items and errors allows you…
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