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scrapydvswombat

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Scrapyd is a service for running Scrapy spiders. It allows you to schedule spiders to run at regular intervals and also allows you to run spiders on remote machines. It is built in Python, and it is meant to be used in a server-client architecture, where the scrapyd server runs on a remote machine, and clients can schedule and control spider runs on the server using an HTTP API. With Scrapyd, you can schedule spider runs on a regular basis, schedule spider runs on demand, and view the status of running spiders.

You can also see the logs of completed spiders, and manage spider settings and configurations. Scrapyd also provides an API that allows you to schedule spider runs, cancel spider runs, and view the status of running spiders. You can install the package via pip by running pip install scrapyd and then you can run the package by running scrapyd command in your command prompt. By default, it will start a web server on port 6800, but you can specify a different port using the `--port`` option.

Scrapyd is a good solution if you need to run Scrapy spiders on a remote machine, or if you need to schedule spider runs on a regular basis. It's also useful if you have multiple spiders, and you need a way to manage and monitor them all in one place.

for more web interface see scrapydweb

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.

Example Use


$ scrapyd
$ curl http://localhost:6800/schedule.json -d project=myproject -d spider=spider2
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"
  }
}

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