scrapydwebvswombat
ScrapydWeb is a web-based management tool for the Scrapyd service. It is built using the Python Flask framework and allows you to easily manage and monitor your Scrapy spider projects through a web interface.
ScrapydWeb allows you to view the status of your running spiders, view the logs of completed spiders, schedule new spider runs, and manage spider settings and configurations.
ScrapydWeb provides a simple way to manage your scraping tasks and allows you to schedule and run multiple spiders simultaneously. It also provides a user-friendly web interface that makes it easy to view the status of your spiders and monitor their progress.
You can install the package via pip by running pip install scrapydweb and then you can run the package by
running scrapydweb command in your command prompt.
It will start a web server that you can access through your web browser at http://localhost:6800/
You will need to have Scrapyd running in order to use ScrapydWeb,
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.
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
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
{
"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"
}
}