How To Do Web Scraping With Ruby?

Web scraping is a famous technique of routinely gathering facts from extraordinary websites. It lets you speedily acquire the statistics without the need to browse via several pages and replica and paste the statistics. Later, it’s far outputted right into a CSV document with dependent facts. Scraping equipment also is able to actualize the converting facts. There are several applications, websites, and browser plugins permitting you to parse the facts speedily and efficiently. It is likewise feasible to create your very own net scraper – this isn’t always as difficult as it can seem. In this article, you’ll examine greater approximately net scraping, its types, and feasible applications. We can even inform you of a way to scrape websites with Ruby.

Ways of gathering facts

There are methods to routinely acquire the facts: net scraping and net crawling. They are each used for extracting the content material from websites, however, the regions of labor are extraordinary.

Web scraping

Refers to gathering the statistics from a selected supply (internet site, database) or a neighborhood machine. It does now no longer contain operating with massive datasets, and an easy download of the net web page is taken into consideration to be a form of statistics scraping.

Web crawling

Implements processing massive units of statistics on several resources. The crawler attends the principle web page of the internet site and steadily scans the complete resource. Generally, the bot is programmed to wait for several websites of the identical type.

Web scraping

How to do net scraping the use of ruby?

Having taken into consideration the sort of net scraping equipment and the feasible methods to use the scraped statistics, now let’s communicate approximately growing your very own custom device. We are going to offer you quick manual masking of the primary ranges of net scraping in Ruby.

Useful equipment

This language presents a huge variety of prepared-made equipment for appearing normal operations. They permit builders to apply legitimate and dependable answers rather than reinventing the wheel. For Ruby net scraping, you’ll want to put in the subsequent gemstones for your computer:

  • NokoGiri is an HTML, SAX, and RSS parser supplying get entry to the factors primarily based totally on XPath and CSS3-selectors. This gem may be carried out now no longer simplest for net parsing however additionally for processing extraordinary kinds of XML documents.
  • HTTParty is a purchaser for RESTful services, sending HTTP queries to the scrapped pages and automated parsing of JSON and XML documents for your Ruby storage.
  • Pry is a device used for debugging. It will assist us to parse the code from the scrapped pages. Web scraping is a pretty easy operation and, generally, there’s no want to put in the Rails framework for this. However, it does make experience if the scraper is a part of greater complex service.
Useful equipment

Step 1. Creating the scraping document

Create the listing in which the utility statistics could be stored. Then upload a clean textual content document named after the utility and shop it to the folder. Let’s name it “web_scraper.rb”. In the document, combine the Nokogiri, HTTParty, and Pry gemstones through walking those commands: require ‘nokogiri’ require ‘httparty’ require ‘pry’

Step 2. Sending the HTTP-queries

Create a variable and ship the HTTP-request to the web page you’re going to scrape: web page = HTTParty.get(‘’)

Step 3. Launching NokoGiri

The goal of this level is to transform the listing objects into Nokogiri items for similarly parsing. Set a brand-new variable named “parsed_page” and make it identical to the Nokogiri technique of changing the HTML statistics to items – you’ll use it all through the process. parsed_page = Nokogiri::HTML(web page) Pry.start(binding) Save your document and release it as soon as again. Execute a “parsed_page” variable for retrieving the important web page because of the set of Nokogiri items. In the identical folder, create an HTML document (let’s name it “output”), and shop the end result of the “parse web page command” there. 

Sending the HTTP-queries

Step 4. Parsing

Now you want to extract all of the wished listing objects. To do this, pick the important CSS object and input it into the Nokogiri output. You can find the selector through viewing the web page’s supply code: array = parsed_page.css(‘h2’).map(&:textual content) Once the parsing is complete, it’s far important to export the parsed statistics to the CSV document so it won’t get lost.

Step 5. Export

Having parsed the facts, you want to finish the scraping and convert the statistics right into a dependent table. Return to the terminal and execute the commands: require ‘csv’‘reserved.csv’, ‘w’) { |csv| csv << array }

You will receive a new CSV file with all the parsed data inside.


We have covered the process of web scraping, its types, benefits, and possible applications. You are now aware of the basic features of the existing tools and the know-how to choose the right one. If your business needs a customized solution.