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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 11 months ago
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 11 months ago
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 11 months ago
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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Gualtiero Wahyudi changed their photo 11 months ago
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Gualtiero Wahyudi became a registered member 11 months ago
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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 11 months ago
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 11 months ago
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 11 months ago
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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Katerina Renata replied to the discussion What data can I scrape from Cars.com for car listings using Python? in the forum General Web Scraping 11 months ago
What data can I scrape from Cars.com for car listings using Python?
Error handling ensures that the scraper remains functional even when some elements are missing or the website structure changes. For example, some car listings might not display prices or mileage, which could cause the script to fail without proper checks. Wrapping the parsing logic in conditional statements ensures the scraper skips…
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Katerina Renata replied to the discussion How can I extract public record details from PublicRecordsNow.com? in the forum General Web Scraping 11 months ago
How can I extract public record details from PublicRecordsNow.com?
Error handling is a vital aspect of building a reliable scraper for PublicRecordsNow.com. Websites frequently update their structures, and if the scraper is hardcoded to specific tags, it may break when changes occur. To prevent crashes, the scraper should include conditional checks for null or missing elements. Logging errors and skipped…
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