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Building a webscraper
Building a webscraper













building a webscraper
  1. #Building a webscraper how to
  2. #Building a webscraper install
building a webscraper

You can use whichever of the below clients you like the most and it will work with the step 2.

building a webscraper

Let's take a look at our three main options: net/http, open-uri and HTTParty. In order to send a request to any website or web app, you would need to use an HTTP client. You would for sure start with getting data from Wikipedia. Imagine you want to build the ultimate Douglas Adams fan wiki.

#Building a webscraper how to

In this section, we will cover how to scrape Wikipedia with Ruby. Note: My ruby version is 2.6.1 Make a request with HTTP clients in Ruby I will place all my code in a file called scraper.rb. Moreover, we will use open-uri, net/http and csv, which are part of the standard Ruby library so there's no need for a separate installation.

#Building a webscraper install

In order to be able to code along with this part, you may need to install the following gems: While we won't be able to cover all the usecases for these tools, we will provide good grounds for you to get started and explore more on your own. Note: Although there is a multitude of gems, we will focus on those most popular as indicated by their Github “used by”, “star” and “fork” attributed. This article assumes that the reader is familiar with fundamentals of Ruby and of how the Internet works. As an answer to that, we will propose using a complete web scraping framework. Not to mention, as manageable as it is to scrape static pages, these tools fail when it comes to dealing with Single Page Applications, the content of which is built with JavaScript. This approach to web scraping has, however, its limitations and can come with a fair dose of frustration. We start with an introduction to building a web scraper using common Ruby HTTP clients and parsing the response. This post will cover main tools and techniques for web scraping in Ruby.















Building a webscraper