Skip to content

autoscrapervswombat

MIT 11 2 5,772
3.5 thousand (month) Jul 26 2019 1.1.14(1 year, 7 months ago)
1,299 2 24 MIT
3.0.0(1 year, 6 months ago) Dec 27 2011 1.6 thousand (month)

Autoscraper project is made for automatic web scraping to make scraping easy. It gets a url or the html content of a web page and a list of sample data which we want to scrape from that page. This data can be text, url or any html tag value of that page. It learns the scraping rules and returns the similar elements. Then you can use this learned object with new urls to get similar content or the exact same element of those new pages.

Autoscraper is minimalistic and auto-generative approach to web scraping. For example, here's a scraper that finds all titles on a stackoverflow.com page:

from autoscraper import AutoScraper

url = 'https://stackoverflow.com/questions/2081586/web-scraping-with-python'

# We can add one or multiple candidates here.
# You can also put urls here to retrieve urls.
wanted_list = ["What are metaclasses in Python?"]

scraper = AutoScraper()
result = scraper.build(url, wanted_list)
print(result)

Wombat is a Ruby gem that makes it easy to scrape websites and extract structured data from HTML pages. It is built on top of Nokogiri, a popular Ruby gem for parsing and searching HTML and XML documents, and it provides a simple and intuitive API for defining and running web scraping operations.

One of the main features of Wombat is its ability to extract structured data from HTML pages using a simple, CSS-like syntax. It allows you to define a set of rules for extracting data from a page, and then automatically applies those rules to the page's HTML to extract the desired data. This makes it easy to extract data from even complex and dynamic pages, without having to write a lot of custom code.

In addition to its data extraction capabilities, Wombat also provides a variety of other features that can simplify the web scraping process. It can automatically follow links and scrape multiple pages, it can handle pagination and AJAX requests, and it can handle cookies and authentication. It also provides a built-in support for parallelism and queueing to speed up the scraping process.

Highlights


popularminimalisticauto-generating

Example Use


require 'wombat'

Wombat.crawl do
  base_url "https://www.github.com"
  path "/"

  headline xpath: "//h1"
  subheading css: "p.alt-lead"

  what_is({ css: ".one-fourth h4" }, :list)

  links do
    explore xpath: '/html/body/header/div/div/nav[1]/a[4]' do |e|
      e.gsub(/Explore/, "Love")
    end

    features css: '.nav-item-opensource'
    business css: '.nav-item-business'
  end
end
will result in:
{
  "headline"=>"How people build software",
  "subheading"=>"Millions of developers use GitHub to build personal projects, support their businesses, and work together on open source technologies.",
  "what_is"=>[
    "For everything you build",
    "A better way to work",
    "Millions of projects",
    "One platform, from start to finish"
  ],
  "links"=>{
    "explore"=>"Love",
    "features"=>"Open source",
    "business"=>"Business"
  }
}

Alternatives / Similar