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Scrape product reviews from Argos UK using Ruby
Scraping product reviews from Argos UK using Ruby involves utilizing the Nokogiri gem to parse the HTML content. The process begins with fetching the webpage content using the open-uri library, which allows us to send HTTP requests. Once the content is retrieved, Nokogiri is used to parse the HTML structure and navigate through the DOM tree to locate the reviews section.
Product reviews are typically displayed in a dedicated section, which includes the reviewer’s name, their rating (in stars or numeric form), and a textual comment. By inspecting the webpage’s structure using browser developer tools, you can identify the specific tags and classes that contain these data points. Often, reviews are organized in a list or a series of div elements, making it straightforward to extract the data programmatically.
Below is the Ruby script to scrape product reviews from Argos UK using Nokogiri:require 'nokogiri' require 'open-uri' # Fetch the product page url = 'https://www.argos.co.uk/product-page' doc = Nokogiri::HTML(URI.open(url)) # Scrape reviews reviews = doc.css('.review') if reviews.empty? puts "No reviews available." else reviews.each_with_index do |review, index| reviewer = review.at_css('.reviewer-name')&.text&.strip || 'Anonymous' rating = review.at_css('.review-rating')&.text&.strip || 'No rating' comment = review.at_css('.review-text')&.text&.strip || 'No comment' puts "Review #{index + 1}:" puts "Reviewer: #{reviewer}" puts "Rating: #{rating}" puts "Comment: #{comment}" puts "-" * 40 end end -
4 Replies
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The script could be enhanced by adding error handling for network issues, such as timeouts or failed requests. Wrapping the HTTP request in a begin-rescue block would ensure that the script does not crash if the webpage fails to load.
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Adding pagination support to scrape reviews across multiple pages would improve the comprehensiveness of the collected data. This could be achieved by identifying the “Next Page” link and iteratively fetching subsequent pages of reviews.
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The script can be made more efficient by saving the reviews to a file or database instead of printing them to the console. This would allow for easier storage, retrieval, and analysis of the data.
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To improve security, the script could validate the input URL to ensure that only trusted domains are processed. This would prevent potential vulnerabilities if the script is modified to accept user inputs for the target URL.
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