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What data can I scrape from StockX.com sneaker listings using Ruby?
Scraping sneaker listings from StockX.com using Ruby allows you to extract details such as sneaker names, prices, and popularity. Using Ruby’s open-uri library for HTTP requests and nokogiri for parsing HTML, you can efficiently extract data. Below is an example script for scraping sneaker information from StockX.
require 'open-uri' require 'nokogiri' # Target URL url = "https://stockx.com/sneakers" html = URI.open(url).read # Parse HTML doc = Nokogiri::HTML(html) # Extract sneaker details doc.css('.browse-item').each do |item| name = item.css('.title').text.strip rescue 'Name not available' price = item.css('.price').text.strip rescue 'Price not available' popularity = item.css('.popularity').text.strip rescue 'Popularity not available' puts "Name: #{name}, Price: #{price}, Popularity: #{popularity}" endThis script fetches the StockX sneakers page, parses the HTML using Nokogiri, and extracts sneaker names, prices, and popularity. Pagination can be added to scrape additional pages. Introducing delays between requests helps avoid detection and ensures smooth operation.
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2 Replies
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Handling pagination in the StockX scraper allows for collecting data from all available sneakers. Automating navigation through “Next” buttons ensures you capture the entire dataset, which can include rare or popular listings. Random delays between requests help mimic human behavior, reducing the chances of being flagged. With pagination support, the scraper provides a more comprehensive dataset for analysis.
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Error handling is essential to ensure the scraper works smoothly despite missing or updated elements. If StockX modifies its page layout, the scraper should be able to skip problematic elements like missing prices or popularity scores. Adding conditional checks for null values prevents crashes and allows the script to continue functioning. Regularly testing the scraper ensures it adapts to changes effectively. These measures make the scraper reliable and robust.
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